Mohan SridharanSchool of Computer ScienceUniversity of Birmingham

Edgbaston, Birmingham B15 2TT, UKm.sridharan@bham.ac.ukPh: +44 (0)121 414 2793

http://www.cs.bham.ac.uk/~sridharm

http://orcid.org/0000-0001-9922-8969

RESEARCH INTERESTS

Human-robot collaboration, knowledge representation and reasoning, machine learning, cognitive systems,and computational vision.

My primary research interests include knowledge representation and reasoning, machine learning, cogni-tive systems, and computational vision, as applied to autonomous robots and adaptive agents collaboratingwith humans. I design algorithms and architectures for (a) representing and reasoning with qualitative andquantitative descriptions of incomplete domain knowledge and uncertainty; and (b) learning interactively andcumulatively based on multimodal sensor inputs obtained from the environment and from humans who maynot have the time and expertise to provide elaborate and accurate feedback. Furthermore, I am interestedin developing algorithms for estimation and prediction problems in application domains such as agriculturalirrigation management, intelligent transportation, and climate informatics.

EDUCATION

• 5/04–8/07: PhD in Electrical and Computer Engineering at The University of Texas at Austin. GPA:4.0. Robust Autonomous Structure-Based Color Learning on a Mobile Robot. Advisors:Dr. Peter Stone and Dr. Benjamin Kuipers.

• 8/01–5/04: M.S. (thesis option) in Electrical and Computer Engineering at The University of Texasat Austin. GPA: 4.0. Human Skin Recognition in Color Images using Multi-Level DecisionTrees. Advisor: Dr. J. K. Aggarwal.

• 7/97–5/01: B.E in Electrical Engineering from University of Madras, India. GPA: 87%.

ACADEMIC APPOINTMENTS & RESEARCH EXPERIENCE

• April 2018—present: Senior Lecturer, School of Computer Science, University of Birmingham (UK).

• June 2018—present: Honorary Senior Lecturer, Department of Electrical and Computer Engineer-ing, The University of Auckland (NZ).

• June 2014—June 2018: Senior Lecturer, Department of Electrical and Computer Engineering, TheUniversity of Auckland (NZ).

• June 2014—present: Adjunct Associate Professor, Department of Mathematics and Statistics,Texas Tech University (USA).

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• October 2008—May 2014: Assistant Professor (tenure-track), Department of Computer Science,Texas Tech University (USA).

• August 2007—October 2008: Research Fellow, School of Computer Science, University of Birming-ham (UK), on the EU Cognitive Systems (CoSy) project. Supervisors: Dr. Jeremy Wyatt, Dr. RichardDearden and Dr. Aaron Sloman. My Key contribution was a novel hierarchical decomposition of par-tially observable Markov decision processes (POMDPs) to automatically adapt visual informationprocessing to each of a wide range of tasks. More information at www.cognitivesystems.org/ andwww.cs.bham.ac.uk/research/groupings/robotics/projects/cosy/

• September 2007—December 2008: Research Consultant, Stone Aerospace (USA), ENDURANCEproject. Supervisor: Dr. William Stone. The objective was to enable a robot to navigate au-tonomously under the ice-shelf of West Lake Bonney in Taylor Valley, Antarctica. I primarily con-tributed to the visual melthole localization algorithm. More information at: www.stoneaerospace.

com/products-pages/products-ENDURANCE.php

• May 2004—August 2007: Graduate Research Assistant, Department of Computer Science, TheUniversity of Texas at Austin (USA). Supervisor: Dr. Peter Stone. I developed software for a four-legged robot platform playing soccer. My key contribution was a vision system that enables robots tolearn color distributions and adapt to illumination changes. More information: www.cs.utexas.edu/

~AustinVilla/?p=research

• January—June 2006: Research Scientist, University of Pennsylvania. Supervisor: Dr. Daniel Lee.I contributed to the DARPA Learning Applied to Ground Robots (LAGR) project by developing algo-rithms that enabled a robot vehicle to learn relevant images features for safe navigation in an unknownoutdoor environment.

• September 2002—May 2004: Graduate Research Assistant, Computer Vision Research Center(CVRC), The University of Texas at Austin (USA). Supervisor: Dr. J. K. Aggarwal. I developeda multi-level decision-tree learning algorithm that detected human skin in online images for filteringobjectionable images.

• January 2002—May 2004: Graduate Teaching Assistant, Department of Electrical and ComputerEngineering, The University of Texas at Austin (USA).

• September 2001—August 2002: Graduate Research Assistant, Computer Vision Research Center(CVRC), The University of Texas at Austin (USA). Supervisor: Dr. J. K. Aggarwal. I developedalgorithms to track human motion in video (image sequences) using temporal and motion cues.

PUBLICATIONS

• Book Chapters and Monographs:

(BC.4) Mohan Sridharan, Prashanth Devarakonda, and Rashmica Gupta. Can I Do That? Discover-ing Domain Axioms Using Declarative Programming and Relational ReinforcementLearning. In Nardine Osman and Carles Sierra (editors), Visionary Papers of the AutonomousAgents and Multiagent Systems (AAMAS) 2016 Workshops, pages 34-49 (196), Springer LectureNotes in Artificial Intelligence (LNAI), 2016. (Undergraduate student research)

(BC.3) Mohan Sridharan. An Integrated Framework for Robust Human-Robot Interaction. InJose Garcia-Rodriguez and Miguel Cazorla (editors), Robotic Vision: Technologies for MachineLearning and Vision Applications, pages 281–301 (535), IGI Global, 2013 (Web: Dec 28, 2012).

(BC.2) Nick Hawes, Jeremy Wyatt, Mohan Sridharan, Henrik Jacobsson, Richard Dearden, Aaron Slomanand Geert-Jan Kruijff. Architecture and Representations. In Henrik I. Christensen andGeert-Jan M. Kruijff and Jeremy L. Wyatt (editors), Cognitive Systems, volume 8 of CognitiveSystems Monographs, pages 51–93, Springer Berlin Heidelberg, April 2010.

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(BC.1) Nick Hawes, Jeremy Wyatt, Mohan Sridharan, Marek Kopicki, Somboon Hongeng, Ian Calvert,Aaron Sloman, Geert-Jan Kruijff, Henrik Jacobsson, Michael Brenner, Danijel Skocaj, AlenVrecko, Nikodem Majer and Michael Zillich. The PlayMate System. In Henrik I. Chris-tensen and Geert-Jan M. Kruijff and Jeremy L. Wyatt (editors), Cognitive Systems, volume 8 ofCognitive Systems Monographs, pages 367–393, Springer Berlin Heidelberg. April 2010.

• Journals:

(J.13) Mohan Sridharan, Michael Gelfond, Shiqi Zhang, and Jeremy Wyatt. REBA: Refinement-based Architecture for Knowledge Representation and Reasoning in Robotics. In theJournal of Artificial Intelligence Research, 65:87-180, June 2019.

(J.12) Mohan Sridharan and Ben Meadows. Knowledge Representation and Interactive Learn-ing of Domain Knowledge for Human-Robot Interaction. In the Advances in CognitiveSystems Journal, 7:69-88, December 2018.

(J.11) Ben Meadows, Mohan Sridharan and Zenon Colaco. Towards an Explanation GenerationSystem for Robots: Analysis and Recommendations. In the Robotics Journal, 5(4), 21pages, December 2016.

(J.10) Shiqi Zhang, Mohan Sridharan and Jeremy Wyatt. Mixed Logical Inference and Proba-bilistic Planning for Robots in Unreliable Worlds. In the IEEE Transactions on Robotics(T-RO), 31(3): 699-713, June 2015.

(J.9) Daniel Holman, Mohan Sridharan, Prasanna Gowda, Dana Porter, Thomas Marek, Terry Howelland Jerry Moorhead. Gaussian Process Models for Reference ET Estimation from Al-ternative Meteorological Data Sources. In the Journal of Hydrology, 517: 28-35, September2014.

(J.8) Shiqi Zhang, Mohan Sridharan and Christian Washington. Active Visual Planning for MobileRobot Teams using Hierarchical POMDPs. In the IEEE Transactions on Robotics (T-RO),29 (4): 975-985, August 2013.

(J.7) William C. Stone, Bartholomew Hogan, Christopher Flesher, Shilpa Gulati, Kristof Richmond,Aniket Murarka, Greg Kuhlmann, Mohan Sridharan, Victoria Siegel, Rachel Middleton Price,Peter Doran and John Priscu. Design and Deployment of a 4DOF Hovering AUV for Sub-Ice Exploration and Mapping. In the Proceedings of the Institution of Mechanical Engineers,Part M: Journal of Engineering for the Maritime Environment, 224 (4): 341-361, 2010.

(J.6) Mohan Sridharan, Jeremy Wyatt and Richard Dearden. Planning to See: A HierarchicalApproach to Planning Visual Action on a Robot using POMDPs. In the ArtificialIntelligence Journal, 174 (11): 704-725, July 2010.

(J.5) Mohan Sridharan. Bootstrap Learning and Visual Processing Management on MobileRobots. In the Advances in Artificial Intelligence Journal Special Issue on Artificial Intelligencein Neuroscience and Systems Biology: Lessons Learned, Open Problems, and the Road Ahead, Vol2010, Article ID 765876, 20 pages, February 2010.

(J.4) Mohan Sridharan and Peter Stone. Color Learning and Illumination Invariance on MobileRobots: A Survey. In the Robotics and Autonomous Systems Journal, 57(6-7): 629-644, June2009.

(J.3) Mohan Sridharan and Peter Stone. Structure-Based Color Learning on a Mobile Robotunder Changing Illumination. In the Autonomous Robots Journal, 23(3): 161-182, October2007.

(J.2) Mohan Sridharan and Peter Stone. Planning Actions to Enable Color Learning on aMobile Robot. In the Special Issue on Visual Information Processing, Information and SystemsSciences Journal, 3(3): 510-525, 2007.

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(J.1) Peter Stone, Mohan Sridharan, Daniel Stronger, Gregory Kuhlmann, Nate Kohl, Peggy Fidelmanand Nick Jong. From Pixels to Multi-Robot Decision-Making: A Study in Uncertainty.In the Robotics and Autonomous Systems (RAS) Journal Special Issue on Planning Under Un-certainty in Robotics, 54(11): 933-943, November 2006.

• Refereed Conferences:

(C.38) Tiago Mota and Mohan Sridharan. Commonsense Reasoning and Knowledge Acquisitionto Guide Deep Learning on Robots. In the Robotics: Science and Systems Conference, June22-26, 2019, Freiburg, Germany. (Finalist for Best Paper Award and Best Student Paper Award)

(C.37) Heather Riley and Mohan Sridharan. Non-monotonic Logical Reasoning and Deep Learn-ing for Explainable Visual Question Answering. In the International Conference on HumanAgent Interaction (HAI), December 15-18, 2018, Southampton, UK.

(C.36) Tiago Mota and Mohan Sridharan. Incrementally Grounding Expressions for SpatialRelations between Objects. In the International Joint Conference on Artificial Intelligence(IJCAI), July 13-19, 2018, Stockholm, Sweden.

(C.35) Mohan Sridharan and Ben Meadows. Learning Affordances for Assistive Robots. In theInternational Conference on Social Robotics (ICSR), November 22-24, 2017, Tsukuba, Japan.

(C.34) Lars Kunze, Mohan Sridharan, Christos Dimitrakakis and Jeremy Wyatt. Adaptive Sampling-based View Planning under Time Constraints. In the IEEE European Conference onMobile Robotics (ECMR), September 6-8, 2017, Paris, France.

(C.33) Mohan Sridharan, Ben Meadows and Rocio Gomez. What can I not do? Towards an Archi-tecture for Reasoning about and Learning Affordances. In the International Conferenceon Automated Planning and Scheduling (ICAPS), June 18-23, 2017, Pittsburgh, USA.

(C.32) Mohan Sridharan and Ben Meadows. A Combined Architecture for Discovering Affor-dances, Causal Laws, and Executability Conditions. In the International Conference onAdvances in Cognitive Systems (ACS), May 12-14, 2017, Troy, USA.

(C.31) Mohan Sridharan and Ben Meadows. Should I do that? Using Relational Reinforce-ment Learning and Declarative Programming to Discover Domain Axioms. In theInternational Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob),September 19-22, 2016, Cergy-Pontoise/Paris, France.

(C.30) Mohan Sridharan, Ben Meadows and Zenon Colaco. A Tale of Many Explanations: TowardsAn Explanation Generation System for Robots. In the Intelligent Robotics and MultiagentSystems (IRMAS) track of the ACM/SIGAPP Symposium on Applied Computing (SAC), April4-8, 2016, Pisa, Italy.

(C.29) Zenon Colaco and Mohan Sridharan. What Happened and Why? A Mixed Archi-tecture for Planning and Explanation Generation in Robotics. In the AustralasianConference on Robotics and Automation (ACRA), December 2-4, 2015, Canberra, Australia.(Undergraduate student research)

(C.28) Ranjini Swaminathan, Mohan Sridharan, Gill Dobbie and Katharine Hayhoe. Modeling IceStorm Climatology. In the 28th Australasian Joint Conference on Artificial Intelligence (Au-sAI), November 30-December 4, 2015, Canberra, Australia.

(C.27) Batbold Myagmarjav and Mohan Sridharan. Incremental Knowledge Acquisition for Human-Robot Collaboration. In the International Symposium on Robot and Human Interactive Com-munication (RO-MAN), August 31-September 3, 2015, Kobe, Japan.

(C.26) Mohan Sridharan and Sarah Rainge. Integrating Reinforcement Learning and Declara-tive Programming to Learn Causal Laws in Dynamic Domains. In the InternationalConference on Social Robotics (ICSR), October 27-29, 2014, Sydney, Australia.

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(C.25) Shiqi Zhang, Mohan Sridharan, Michael Gelfond and Jeremy Wyatt. Towards An Architec-ture for Knowledge Representation and Reasoning in Robotics. In the InternationalConference on Social Robotics (ICSR), October 27-29, 2014, Sydney, Australia.

(C.24) Kimia Salmani and Mohan Sridharan. Multi-Instance Active Learning with Online Label-ing for Object Recognition. In the International Conference of the Florida Artificial Intelli-gence Research Society (FLAIRS), May 21-23, 2014, Pensacola Beach, USA. (Best Paper Award)

(C.23) Xiang Li and Mohan Sridharan. Move and the Robot will Learn: Vision-based Au-tonomous Learning of Object Models. In the International Conference on Advanced Robotics(ICAR), November 25-29, 2013, Montevideo, Uruguay.

(C.22) Daniel Holman, Mohan Sridharan, Prasanna Gowda, Dana Porter, Thomas Marek, Terry Howelland Jerry Moorhead. Estimating Reference Evapotranspiration for Irrigation Manage-ment in the Texas High Plains. In the International Joint Conference on Artificial Intelligence(IJCAI), August 3-9, 2013, Beijing, China.

(C.21) Shiqi Zhang, Mohan Sridharan and Forrest Sheng Bao. ASP+POMDP: Integrating Non-Monotonic Logic Programming and Probabilistic Planning on Robots. In the In-ternational Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob),November 7-9, 2012, San Diego, USA. (Paper of Excellence Award)

(C.20) Shiqi Zhang and Mohan Sridharan. Active Visual Sensing and Collaboration on Mo-bile Robots using Hierarchical POMDPs. In the International Conference on AutonomousAgents and Multiagent Systems (AAMAS), June 4-8, 2012, Valencia, Spain.

(C.19) David South, Mary Shuman, Mohan Sridharan and Susan Urban. Integration of the Alice 3DProgramming Environment with Robotics to Stimulate Interest in Computing. Inthe National Conference on Undergraduate Research (NCUR), March 29-31, 2012, Ogden, USA.(Undergraduate student research)

(C.18) Mohan Sridharan. Augmented Reinforcement Learning for Interaction with Non-ExpertHumans in Agent Domains. In the International Conference on Machine Learning Applica-tions (ICMLA), December 18-21, 2011, Honolulu, Hawaii.

(C.17) Barbara Millet, Mohan Sridharan and Yulin Wang. Using Eye Gaze and a DisambiguationAlgorithm to Enter Words. In the International Conference on Occupational Ergonomics andSafety (ISOES), June 9-10, 2011, Maryland, USA.

(C.16) Xiang Li, Mohan Sridharan and Shiqi Zhang. Autonomous Learning of Vision-based Lay-ered Object Models on Mobile Robots. In the International Conference on Robotics andAutomation (ICRA), May 9-13, 2011, Shanghai, China.

(C.15) Shiqi Zhang, Mohan Sridharan and Xiang Li. To Look or Not to Look: A HierarchicalRepresentation for Visual Planning on Mobile Robots. In the International Conferenceon Robotics and Automation (ICRA), May 9-13, 2011, Shanghai, China.

(C.14) Kshira Nadarajan and Mohan Sridharan. Sensor-based Online Detection of Instabilitiesfor Robust Teamwork in Humanoid Soccer Robots. In the National Conference on Un-dergraduate Research (NCUR), March 31-April 2, 2011, Ithaca, New York, USA.

(C.13) Xiang Li and Mohan Sridharan. Safe Navigation on a Mobile Robot using Local andTemporal Visual Cues. In the International Conference on Intelligent Autonomous Systems(IAS), August 30-September 1, 2010, Ottawa, Canada.

(C.12) Shilpa Gulati, Kristof Richmond, Christopher Flesher, Bart Hogan, Aniket Murarka, GregoryKuhlmann, Mohan Sridharan and William Stone. Towards Autonomous Scientific Explo-ration of Ice-covered Lakes: Field Experiments with ENDURANCE AUV in anAntarctic Valley. In the IEEE International Conference on Robotics and Automation (ICRA),May 3-8, 2010, Anchorage, USA.

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(C.11) Mohan Sridharan and Xiang Li. Learning Sensor Models for Robust Information Fusionon a Humanoid Robot. In the IEEE-RAS International Conference on Humanoid Robots(Humanoids), December 7-10, 2009, Paris, France.

(C.10) Mohan Sridharan, Jeremy Wyatt and Richard Dearden. HiPPo: Hierarchical POMDPs forPlanning Information Processing and Sensing Actions on a Robot. In the InternationalConference on Automated Planning and Scheduling, (ICAPS), September 14-18, 2008, Sydney,Australia. (Distinguished Paper Award)

(C.9) Aniket Murarka, Mohan Sridharan and Benjamin Kuipers. Detecting Obstacles and Drop-offs using Stereo and Motion Cues for Safe Local Motion. In the IEEE/RSJ InternationalConference on Intelligent Robots and Systems (IROS), September 22-26, 2008, Nice, France.

(C.8) Mohan Sridharan and Peter Stone. Long-term vs. Greedy Action Planning for ColorLearning on a Mobile Robot. In the International Conference on Computer Vision Theoryand Applications (VISAPP), January 22-25, 2008, Funchal, Portugal.

(C.7) Mohan Sridharan and Peter Stone. Action Selection for Illumination Invariant ColorLearning. In the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),October 29-November 2, 2007, San Diego, USA.

(C.6) Mohan Sridharan and Peter Stone. Color Learning on a Mobile Robot: Towards Full Au-tonomy Under Changing Illumination. In the International Joint Conference on ArtificialIntelligence (IJCAI), January 6-12, 2007, Hyderabad, India.

(C.5) Mohan Sridharan and Peter Stone. Autonomous Planned Color Learning on a MobileRobot Without Labeled Data. In the Ninth International Conference on Control, Automa-tion, Robotics and Vision (ICARCV), December 5-8, 2006, Singapore.

(C.4) Mohan Sridharan and Peter Stone. Real-Time Vision on a Mobile Robot Platform. Inthe IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), August 2005,Edmonton, Canada.

(C.3) Mohan Sridharan and Peter Stone. Autonomous Color Learning on a Mobile Robot. In theTwentieth National Conference on Artificial Intelligence (AAAI), July 2005, Pittsburgh, USA.

(C.2) Mohan Sridharan, Gregory Kuhlmann, and Peter Stone. Practical Vision-Based Monte CarloLocalization on a Legged Robot. In the IEEE International Conference on Robotics andAutomation (ICRA), April 2005, Barcelona, Spain.

(C.1) Mohan Sridharan and Peter Stone. Towards On-Board Color Constancy on Mobile Robots.In the First Canadian Conference on Computer Vision (CRV), May 17-19, 2004, University ofWestern Ontario, London, Ontario, Canada.

• Refereed Extended Abstracts and Short Papers:

(AP.11) Mohan Sridharan. Refinement-Based Architecture for Knowledge Representation, Ex-plainable Reasoning and Interactive Learning in Robotics. In the Workshop on Reasoningabout Actions and Processes: Highlights of Recent Advances at ICAPS-2019, July 12, 2019, Berke-ley, USA.

(AP.10) Michael Mathew, Saif Sidhik, Mohan Sridharan, Morteza Azad, Jeremy Wyatt, and AkinobuHayashi. Online Learning of Feed-Forward Models for Variable Impedance Con-trol in Manipulation Tasks. In the Workshop on Emerging paradigms for robotic manipu-lation: from the lab to the productive world at RSS-2019, June 23, 2019, Freiburg, Germany.(Best Poster Award)

(AP.9) Keith Jones, Barbara Cherry, Dennis Harris and Mohan Sridharan. Formative Analysis ofAging in Place: Implications for the Design of Caregiver Robots. In the Human Factorsand Ergonomics Society International Annual Meeting, October 9-13, 2017, Austin, USA.

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(AP.8) Pat Langley, Ben Meadows, Mohan Sridharan and Dongkyu Choi. Explainable Agency forIntelligent Autonomous Systems. In the Twenty-Ninth Annual Conference on InnovativeApplications of Artificial Intelligence (IAAI), February 4-9, 2017, San Francisco, USA.

(AP.7) Batbold Myagmarjav and Mohan Sridharan. Incremental Knowledge Acquisition with Se-lective Active Learning. In the International Conference on Autonomous Agents and Multia-gent Systems (AAMAS), May 4-8, 2015, Istanbul, Turkey.

(AP.6) Keith Jones, Barbara Cherry, and Mohan Sridharan. Formative Work Analysis to DesignCaregiver Robots. In the 10th ACM/IEEE International Conference on Human-Robot Inter-action (HRI), March 2-5, 2015, Portland, USA.

(AP.5) Batbold Myagmarjav and Mohan Sridharan. Knowledge Acquisition with Selective ActiveLearning for Human-Robot Interaction. In the 10th ACM/IEEE International Conferenceon Human-Robot Interaction (HRI), March 2-5, 2015, Portland, USA.

(AP.4) Keith Jones, Mohan Sridharan and Barbara Cherry. Analyzing Elder Care to Guide theDesign of Caregiver Robots. In the Social Robotics for Health Innovation Workshop at ICSR-2014, October 27, 2014, Sydney, Australia.

(AP.3) Xiang Li, Mohan Sridharan and Catie Meador. Autonomous Learning of Visual ObjectModels on a Robot Using Context and Appearance Cues. In the International Conferenceon Autonomous Agents and Multiagent Systems (AAMAS), May 6-10, 2013, Saint Paul, USA.

(AP.2) Daniel Holman, Mohan Sridharan, Prasanna Gowda, Dana Porter, Thomas Marek, Terry Howelland Jerry Moorhead. Gaussian Processes-Based Predictive Models to Estimate Refer-ence ET From Alternative Meteorological Data Sources for Irrigation Scheduling. Inthe American Society of Agronomy: ASA, CSSA and SSSA International Annual Meeting (ACS),October 21-24, 2012, Cincinnati, USA. (Best Graduate Student Paper Award)

(AP.1) Shiqi Zhang, Forrest Sheng Bao and Mohan Sridharan. (Student abstract) Combining Prob-abilistic Planning and Logic Programming on Mobile Robots. In the International Con-ference on Artificial Intelligence (AAAI), July 22-26, 2012, Toronto, Canada.

• Refereed Symposia and Workshops:

(SW.49) Tiago Mota and Mohan Sridharan. Commonsense Reasoning and Knowledge Acquisitionto Guide Deep Learning on Robots. In the Workshop on Knowledge Engineering for Planningand Scheduling (KEPS) at ICAPS-2019, July 11, 2019, Berkeley, USA.

(SW.48) Mohan Sridharan. Refinement-Based Architecture for Knowledge Representation, Ex-plainable Reasoning and Interactive Learning in Robotics. In the Workshop on Com-bining Learning and Reasoning: Towards Human-Level Robot Intelligence at RSS-2019, June 22,2019, Freiburg, Germany.

(SW.47) Ermano Arruda, Claudio Zito, Mohan Sridharan, Marek Kopick, and Jeremy Wyatt. GenerativeGrasp Synthesis from Demonstration using Parametric Mixtures. In the Workshop onTask-Informed Grasping (TIG-II): From Perception to Physical Interaction at RSS-2019, June22, 2019, Freiburg, Germany.

(SW.46) Michael Mathew, Saif Sidhik, Mohan Sridharan, Morteza Azad, Akinobu Hayashi, and JeremyWyatt. Online Learning of Feed-Forward Models for Variable Impedance Control inManipulation Tasks. In the Workshop on Task-Informed Grasping (TIG-II): From Perceptionto Physical Interaction at RSS-2019, June 22, 2019, Freiburg, Germany.

(SW.45) Mohan Sridharan and Ben Meadows. Knowledge Representation and Interactive Learningof Domain Knowledge for Human-Robot Interaction. In the Workshop on IntegratedPlanning, Acting and Execution (IntEx) at ICAPS-2018, June 25, 2018, Delft, The Netherlands.

(SW.44) Rocio Gomez, Mohan Sridharan and Heather Riley. Representing and Reasoning with In-tentional Actions on a Robot. In the Workshop on Planning and Robotics (PlanRob) atICAPS-2018, June 26, 2018, Delft, The Netherlands.

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(SW.43) Tiago Mota and Mohan Sridharan. Learning the Grounding of Expressions for SpatialRelations between Objects. In the Workshop on Perception, Inference and Learning for JointSemantic, Geometric and Physical Understanding (MRP) at ICRA-2018, May 21, 2018, Brisbane,Australia.

(SW.42) Mohan Sridharan. Integrating Knowledge Representation, Reasoning and Learning forHuman-Robot Interaction. In the AAAI Fall Symposium on AI for Human-Robot Interaction,November 9-11, 2017, Arlington, USA.

(SW.41) Mohan Sridharan and Ben Meadows. Towards an Architecture for Discovering DomainDynamics: Affordances, Causal Laws, and Executability Conditions. In the Workshopon Planning and Robotics (PlanRob) at ICAPS-2017, June 20, 2017, Pittsburgh, USA.

(SW.40) Lars Kunze, Mohan Sridharan, Christos Dimitrakakis and Jeremy Wyatt. View Planning withTime Constraints: An Adaptive Sampling Approach. In the Workshop on AI Planningand Robotics: Challenges and Methods at ICRA-2017, May 29, 2017, Singapore.

(SW.39) Mohan Sridharan. KR3L: An Architecture for Knowledge Representation, Reasoningand Learning in Human-Robot Collaboration. In the Workshop on Knowledge, Data, andSystems for Cognitive Computing (CogComp) at IJCAI-2016, July 11, 2016, New York City, USA.

(SW.38) Mohan Sridharan and Michael Gelfond. Representing and Reasoning with Logical andProbabilistic Knowledge on Robots. In the Workshop on Statistical Relational Learning(StaRAI) at IJCAI-2016, July 11, 2016, New York City, USA.

(SW.37) Mohan Sridharan and Michael Gelfond. Using Knowledge Representation and ReasoningTools in the Design of Robots. In the Workshop on Knowledge-based Techniques for ProblemSolving and Reasoning (KnowProS) at IJCAI-2016, July 10, 2016, New York City, USA.

(SW.36) Mohan Sridharan, Prashanth Devarakonda and Rashmica Gupta. Incremental Discovery ofDomain Axioms Using Relational Reinforcement Learning and Declarative Program-ming. In the Workshop on Planning and Robotics (PlanRob) at ICAPS-2016, June 13-14, 2016,London, UK. (Undergraduate student research)

(SW.35) Mohan Sridharan, Prashanth Devarakonda and Rashmica Gupta. Can I Do That? Discover-ing Domain Axioms Using Declarative Programming and Relational ReinforcementLearning. In the Workshop on Autonomous Robots and Multirobot Systems (ARMS) at AAMAS-2016, May 9, 2016, Singapore. (Most Visionary Paper Award, Undergraduate student research)

(SW.34) Mohan Sridharan. Towards An Architecture for Knowledge Representation, Reasoningand Learning in Human-Robot Collaboration. In the AAAI Spring Symposium on En-abling Computing Research in Socially Intelligent Human-Robot Interaction, March 21-23, 2016,Stanford, USA.

(SW.33) Mohan Sridharan, Michael Gelfond, Shiqi Zhang and Jeremy Wyatt. Mixing Non-MonotonicLogical Reasoning with Decision-Theoretic Planning for Robots. In the Workshop onHybrid Reasoning at IJCAI-2015, July 26, 2015, Buenos Aires, Argentina.

(SW.32) Batbold Myagmarjav and Mohan Sridharan. Incremental Knowledge Acquisition for Human-Robot Collaboration. In the Workshop on Autonomous Robots and Multirobot Systems (ARMS)at AAMAS-2015, May 4, 2015, Istanbul, Turkey.

(SW.31) Shiqi Zhang, Mohan Sridharan, Michael Gelfond and Jeremy Wyatt. KR3: A Knowledge Rep-resentation and Reasoning Architecture for Robots. In the Workshop on Non-MonotonicReasoning (NMR), July 17-19, 2014, Vienna, Austria.

(SW.30) Emilie Featherston, Mohan Sridharan, Susan Urban and Joseph Urban. DOROTHY: Enhanc-ing Bidirectional Communication between a 3D Programming Interface and MobileRobots. In the Symposium on Educational Advances in Artificial Intelligence (EAAI), July28-29, 2014, Quebec City, Canada. (Undergraduate student research)

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(SW.29) Shiqi Zhang, Mohan Sridharan, Michael Gelfond and Jeremy Wyatt. Integrating ProbabilisticGraphical Models and Declarative Programming for Knowledge Representation andReasoning in Robotics. In the Workshop on Planning and Robotics at ICAPS-2014, June22-23, 2014, Portsmouth, USA.

(SW.28) Shiqi Zhang and Mohan Sridharan. Integrating Declarative Programming and Probabilis-tic Planning on Robots. In the AAAI Fall Symposium on How Should Intelligence be Abstractedin AI Research: MDPs, Symbolic Representations, Artificial Neural Networks, or ?, November15-17, 2013, Arlington, USA.

(SW.27) Shiqi Zhang and Mohan Sridharan. Combining Answer Set Programming and POMDPsfor Knowledge Representation and Reasoning in Robotics. In the Workshop on Knowl-edge Representation and Reasoning in Robotics at ICLP-2013, August 25, 2013, Istanbul, Turkey.

(SW.26) David South, Mary Shuman, Kevin Thomas, Austin Ray, Stephanie Graham, Shiloh Huff, SabynePeeler, Sarah Rainge, Mohan Sridharan, Susan Urban and Joseph Urban. DOROTHY: Inte-grating Graphical Programming with Robotics to Stimulate Interest in ComputingCareers. In the Alice Symposium, June 19, 2013, Durham, USA. (Undergraduate student research)

(SW.25) Xiang Li, Mohan Sridharan and Catie Meador. Learning Object Models on a Robot us-ing Visual Context and Appearance Cues. In the Workshop on Autonomous Robots andMultirobot Systems (ARMS) at AAMAS-2013, May 7, 2013, Saint Paul, USA.

(SW.24) Mohan Sridharan. Integrating Visual Learning and Hierarchical Planning for Autonomyin Human-Robot Collaboration. In the AAAI Spring Symposium on Designing IntelligentRobots: Reintegrating AI II, March 25-27, 2013, Stanford, USA.

(SW.23) Ranjini Swaminathan, Mohan Sridharan and Katharine Hayhoe. Convolutional Neural Net-works for Climate Downscaling. In the Climate Informatics Workshop (CI), September 20-21,2012, Boulder, USA.

(SW.22) Xiang Li and Mohan Sridharan. Vision-based Autonomous Learning of Object Modelson a Mobile Robot. In the Workshop on Autonomous Robots and Multirobot Systems (ARMS)at AAMAS-2012, June 5, 2012, Valencia, Spain.

(SW.21) Shiqi Zhang, Forrest Sheng Bao and Mohan Sridharan. ASP-POMDP: Integrating Non-monotonic Logical Reasoning and Probabilistic Planning on Mobile Robots. In theWorkshop on Autonomous Robots and Multirobot Systems (ARMS) at AAMAS-2012, June 5,2012, Valencia, Spain.

(SW.20) Ranjini Swaminathan and Mohan Sridharan. Towards Robust Human-Robot Interactionusing Multimodal Cues. In the Workshop on Human-Agent-Robot Teamwork (HART) atHRI-2012, March 5, 2012, Boston, USA.

(SW.19) Kristof Richmond, Alessandro Febretti, Shilpa Gulati, Christopher Flesher, Bartholomew Hogan,Aniket Murarka, Gregory Kuhlmann, Mohan Sridharan, Andrew Johnson, William Stone, JohnPriscu and Peter Doran. Sub-ice Exploration of an Antarctic Lake: Results from the EN-DURANCE Project. In the International Symposium on Unmanned Untethered SubmersibleTechnology (UUST), August 21-24, 2011, Portsmouth, USA.

(SW.18) Shiqi Zhang and Mohan Sridharan. Visual Search and Multirobot Collaboration on Mo-bile Robots. In the Workshop on Automated Action Planning for Autonomous Mobile Robots(PAMR) at AAAI-2011, August 7-8, 2011, San Francisco, USA.

(SW.17) Kshira Nadarajan and Mohan Sridharan. Online Detection of Instability for Robust Team-work in Humanoid Soccer Robots. In the Workshop on Humanoid Soccer Robots (HSR) atHumanoids-2010, December 7, 2010, Nashville, USA.

(SW.16) Akbar Siami Namin and Mohan Sridharan. Position Paper: Bayesian Reasoning for Soft-ware Testing. In the Workshop on the Future of Software Engineering Research at FSE-2010,November 7-8, 2010, Santa Fe, USA.

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(SW.15) Mohan Sridharan and Akbar Siami Namin. Prioritizing Mutation Operators based onImportance Sampling. In the International Symposium on Software Reliability Engineering(ISSRE), November 1-4, 2010, San Jose, USA.

(SW.14) Akbar Siami Namin, Barbara Millet and Mohan Sridharan. Fast Abstract: Stochastic Model-based Testing for Human-Robot Interaction. In the International Symposium on SoftwareReliability Engineering (ISSRE), November 2, 2010, San Hose, USA.

(SW.13) Shiqi Zhang and Mohan Sridharan. Vision-based Scene Analysis on a Mobile Robot usingLayered POMDPs. In the POMDP Practitioners Workshop at ICAPS-2010, May 12, 2010,Toronto, Canada.

(SW.12) Xiang Li, Shiqi Zhang and Mohan Sridharan. Vision-based Safe Local Motion on a Hu-manoid Robot. In the Workshop on Humanoid Soccer Robots (HSR) at Humanoids-2009,December 7, 2009, Paris, France.

(SW.11) Mohan Sridharan and Xiang Li. Autonomous Information Fusion for Robust ObstacleLocalization on a Humanoid Robot. In the Latin American Robotics Symposium (LARS),October 29-30, 2009, Valparaiso, Chile.

(SW.10) Mohan Sridharan, Jeremy Wyatt and Richard Dearden. POMDP-based Planning for VisualProcessing Management on a Mobile Robot. In the Workshop on Cognitive Vision atIROS-2009, October 11, 2009, St. Louis, USA.

(SW.9) Aniket Murarka, Gregory Kuhlmann, Shilpa Gulati, Mohan Sridharan, Chris Flesher and WilliamStone. Vision-based Frozen Surface Egress: A Docking Algorithm for the ENDURANCEAUV. In the International Symposium on Unmanned Untethered Submersible Technology (UUST),August 23-26, 2009, Durham, USA.

(SW.8) William Stone, Bart Hogan, Chris Flesher, Shilpa Gulati, Kristof Richmond, Aniket Murarka,Gregory Kuhlmann and Mohan Sridharan. Sub-ice Exploration of West Lake Bonney:ENDURANCE 2008 Mission. In the International Symposium on Unmanned UntetheredSubmersible Technology (UUST), August 23-26, 2009, Durham, USA.

(SW.7) Mohan Sridharan, Richard Dearden and Jeremy Wyatt. E-HiPPo: Extensions to Hierar-chical POMDP-based Visual Planning on a Robot. In the PlanSIG Workshop, December11-12, 2008, Edinburgh, UK.

(SW.6) Mohan Sridharan and Peter Stone. Comparing Two Action Planning Approaches forColor Learning on a Mobile Robot. In the Workshop on Robotic Perception (RoboPerc) atVISAPP-2008, January 22, 2008, Funchal, Portugal.

(SW.5) Mohan Sridharan and Peter Stone. Autonomous Planned Color Learning on a MobileRobot Without Labeled Data. In the Workshop on Cognitive Robotics at AAAI-2006, July15-16, 2006, Boston, USA.

(SW.4) Mohan Sridharan and Peter Stone. Robust Autonomous Structure-based Color Learningon a Mobile Robot. In the AAAI/SIGART Doctoral Consortium at AAAI-2006, July 15-16,2006, Boston, USA.

(SW.3) Mohan Sridharan and Peter Stone. Autonomous Planned Color Learning on a LeggedRobot. In Gerhard Lakemeyer, Elizabeth Sklar, Domenico Sorenti and Tomoichi Takahashi,editors, RoboCup 2006: Robot Soccer World Cup X, Springer Verlag, Berlin, 2007.

(SW.2) Mohan Sridharan and Peter Stone. Towards Eliminating Manual Color Calibration atRoboCup. In Itsuki Noda, Adam Jacoff, Ansgar Bredenfeld and Yasutake Takahashi, editors,RoboCup 2005: Robot Soccer World Cup IX, Springer Verlag, Berlin, 2006.

(SW.1) Mohan Sridharan and Peter Stone. Towards Illumination Invariance in the Legged League.In Daniele Nardi, Martin Riedmiller, and Claude Sammut, editors, RoboCup-2004: Robot SoccerWorld Cup VIII, Springer Verlag, Berlin, 2005.

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• Peer-reviewed Workshop and Tutorial Proposals:

(WT.5) Shiqi Zhang and Mohan Sridharan. Knowledge-based Sequential Decision-Making underUncertainty. In the AAAI Conference on AI, January 28, 2019, Honolulu, USA.

(WT.4) Shiqi Zhang, Matteo Leonetti, Mohan Sridharan, Jeremy Wyatt. Integrated Representation,Reasoning, and Learning for Extended Autonomy in Robotic Systems. In the AAAISpring Symposium Series, March 26-28, 2018, Stanford, USA.

(WT.3) Mohan Sridharan, Fangkai Yang, Subramanian Ramamoorthy, Volkan Patoglu, and Esra Erdem.Knowledge Representation and Reasoning in Robotics. In the AAAI Spring SymposiumSeries, March 24-26, 2014, Stanford, USA.

(WT.2) Mohan Sridharan and Fangkai Yang. Knowledge Representation and Reasoning in Robotics.In the International Conference on Logic Programming (ICLP), August 25, 2013, Istanbul, Turkey.

(WT.1) Mohan Sridharan and Akbar Siami Namin. Bayesian Methods for Data Analysis in Soft-ware Engineering. In the International Conference on Software Engineering (ICSE), May 3,2010, Cape Town, South Africa.

• Theses and Dissertations Supervised/Co-supervised:

(DT.10) Heather Riley. The Advantages of Non-monotonic Logic in Modular Architectures:High Performance and Interpretable Outputs with Limited Training Data, MastersThesis, Department of Electrical and Computer Engineering, The University of Auckland, Febru-ary 2019.

(DT.9) Han Xu. Integrating Logical Reasoning and Probabilistic Graphical Models for SpokenDialog System, Masters Thesis, Department of Computer Science, Texas Tech University, May2017.

(DT.8) Sarah Rainge. Integrating Reinforcement Learning and Declarative Programming toLearn Causal Laws in Dynamic Domains, Masters Thesis, Department of Computer Science,Texas Tech University, August 2014.

(DT.7) Samujjwal Bhandari. A Language and Architecture for Adaptive Event Pattern Detec-tion, Doctoral Dissertation, Department of Computer Science, Texas Tech University, December2013. Co-supervised with Dr. Susan Urban (IE).

(DT.6) Xiang Li. Autonomous Learning of Object Models on Mobile Robots using VisualCues, Doctoral Dissertation, Department of Computer Science, Texas Tech University, August2013.

(DT.5) Kimia Salmani. Multi-Instance Active Learning with Online Labeling, Masters Thesis,Department of Computer Science, Texas Tech University, August 2013.

(DT.4) Shiqi Zhang. Integrating Answer Set Programming and POMDPs for Knowledge Rep-resentation and Reasoning in Robotics, Doctoral Dissertation, Department of ComputerScience, Texas Tech University, August 2013.

(DT.3) Justin Griggs. Intelligent Data Acquisition and Processing for Unmanned Aerial Vehi-cles, Masters Thesis, Department of Electrical and Computer Engineering, Texas Tech University,August 2012. Co-supervised with Dr. Richard Gale (EE).

(DT.2) Aaron Lee. Online Environment Anticipation using Multivariate Legendre Series, Mas-ters Thesis, Department of Electrical and Computer Engineering, Texas Tech University, Decem-ber 2011. Co-supervised with Dr. Richard Gale (EE).

(DT.1) Mamatha Aerolla. Incorporating Human and Environmental Feedback for Robust Per-formance in Agent Domains, Masters Thesis, Department of Computer Science, Texas TechUniversity, May 2011.

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• Unrefereed Articles:

(TR.14) Mohan Sridharan, Michael Gelfond, Shiqi Zhang and Jeremy Wyatt. A Refinement-Based Ar-chitecture for Knowledge Representation and Reasoning in Robotics, Technical reporton arXiv: http://arxiv.org/abs/1508.03891, August 2015, revised October 2016, April 2017,September 2018.

(TR.13) Ranjini Swaminathan, Mohan Sridharan and Katharine Hayhoe. A Computational Frame-work for Modelling and Analyzing Ice Storms, Technical report on arXiv: https://arxiv.org/abs/1805.04907, May 2018.

(TR.12) Zenon Colaco and Mohan Sridharan. Mixed Logical and Probabilistic Reasoning forPlanning and Explanation Generation in Robotics, Technical report on arXiv: http:

//arxiv.org/abs/1508.00059, August 2015. (Undergraduate student research)

(TR.11) Shiqi Zhang, Mohan Sridharan, Michael Gelfond and Jeremy Wyatt. A Knowledge Represen-tation and Reasoning Architecture for Robots, Technical Report, Department of ComputerScience, Texas Tech University, February 2014.

(TR.10) Ranjini Swaminathan and Mohan Sridharan. Towards Natural Human-Robot Interactionusing Multimodal Cues, Technical Report, Department of Computer Science, Texas TechUniversity, December 2011.

(TR.9) Mohan Sridharan and Mamatha Aerolla. Bootstrap Learning and Augmented Reinforce-ment Learning for Robust Performance in Agent Domains, Technical report, Departmentof Computer Science, Texas Tech University, May 2011.

(TR.8) Susan Urban, Joseph Urban, Mohan Sridharan and Susan Mengel. Computational Thinkingfor Middle School Students through the Integration of Graphical Programming andRobotics, Technical report, Department of Computer Science, Texas Tech University, May 2011.

(TR.7) Mohan Sridharan and Akbar Siami Namin. A Probabilistic Sampling Model for EffectiveMutation Testing, Technical report, Department of Computer Science, Texas Tech University,May 2010.

(TR.6) Todd Hester, Michael Quinlan, Peter Stone and Mohan Sridharan. TT-UT Austin Villa 2009:Naos across Texas, Technical Report: UT-AI-TR-09-08, The University of Texas at Austin,Department of Computer Science, AI Laboratory, 2009.

(TR.5) Mohan Sridharan, Nick Hawes, Jeremy Wyatt, Richard Dearden and Aaron Sloman. PlanningInformation Processing and Sensing Actions, Technical report: CoSy-07-06, CSR-07-09,University of Birmingham (UK), November 2007.

(TR.4) Peter Stone, Peggy Fidelman, Nate Kohl, Gregory Kuhlmann, Tekin Mericli, Mohan Sridharanand Shao-en Yu. The UT Austin Villa 2006 RoboCup Four-Legged Team, TechnicalReport: UT-AI-TR-06-337. The University of Texas at Austin, Department of Computer Science,AI Laboratory, December 2006.

(TR.3) Peter Stone, Kurt Dresner, Peggy Fidelman, Nate Kohl, Gregory Kuhlmann, Mohan Sridharanand Daniel Stronger. The UT Austin Villa 2005 RoboCup Four-Legged Team, TechnicalReport: UT-AI-TR-05-325. The University of Texas at Austin, Department of Computer Science,AI Laboratory, November 2005.

(TR.2) Peter Stone, Kurt Dresner, Peggy Fidelman, Nicholas Jong, Nate Kohl, Gregory Kuhlmann,Mohan Sridharan and Daniel Stronger. The UT Austin Villa 2004 RoboCup Four-LeggedTeam: Coming of Age, Technical Report: UT-AI-TR-04-313. The University of Texas atAustin, Department of Computer Science, AI Laboratory, October 2004.

(TR.1) Peter Stone, Kurt Dresner, Selim Erdogan, Peggy Fidelman, Nicholas Jong, Nate Kohl, GregoryKuhlmann, Ellie Lin, Mohan Sridharan, Daniel Stronger and Gurushyam Hariharan. UT AustinVilla 2003: A New RoboCup Four-Legged Team, Technical Report: UT-AI-TR-03-304.The University of Texas at Austin, Department of Computer Science, AI Laboratory, 2003.

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• Invited Talks and Presentations (external):

(IT.27) University of Leeds (UK), AI Seminar Series. Refinement-based Architecture for Repre-sentation, Reasoning and Interactive Learning in Robotics, May 2019.

(IT.26) International Joint Conference on Artificial Intelligence Workshop on Explainable Artificial Intel-ligence. Knowledge Representation, Reasoning and Learning for Explainable Agency,July 2018.

(IT.25) University of Birmingham (UK). What can I (not) do? Representing, Reasoning aboutand Learning Action Capabilities. July 2017.

(IT.24) International Conference on Automated Planning and Scheduling Workshop on Scheduling andPlanning Applications. What can I (not) do? Knowledge Representation and InteractiveDiscovery in Robotics, June 2017.

(IT.23) International Institute of Information Technology Hyderabad (India). KR3L: Knowledge Rep-resentation, Reasoning and Learning For Human-Robot Collaboration, January 2017.

(IT.22) Oregon State University (USA). A Knowledge Representation, Reasoning and LearningArchitecture for Human-Robot Collaboration, August 2016.

(IT.21) The University of Birmingham (UK). Towards An Architecture for Knowledge Represen-tation and Reasoning in Robotics, January 2016.

(IT.20) King’s College London (UK). Towards An Architecture for Human-Robot Collaboration,January 2016.

(IT.19) Indian Institute of Technology, Madras (India) Computer Science and Engineering Seminar. To-wards An Architecture for Autonomy in Human-Robot Collaboration, December 2014.

(IT.18) New Zealand Robotics, Automation and Sensing (NZRAS) Society. Centre for Automationand Robotic Engineering Science + Integrating Learning, Representation and Rea-soning for Autonomy in Human-Robot Collaboration, November 2014.

(IT.17) Queensland University of Technology (Australia). Integrating Learning and Representationfor Human-Robot Collaboration, January 2014.

(IT.16) The University of Auckland (New Zealand). Towards Autonomy in Human-Robot Collab-oration, December 2013.

(IT.15) Office of Naval Research (ONR). Active Learning for Sequential Sensing and EfficientHuman Interaction in Collaborative Human-Robot Teams, April 2013.

(IT.14) The University of Texas at Austin (USA) Forum for Artificial Intelligence. Towards Autonomyin Human-Robot Collaboration, February 2013.

(IT.13) The University of Texas at Austin (USA) Forum for Artificial Intelligence. Integrating ASPand Probabilistic Planning on Robots, February 2013.

(IT.12) University of Nebraska-Omaha (USA) College of Information Science and Technology Round Ta-ble. Towards Synergetic Autonomy in Human-Robot Collaboration, September 2012.

(IT.11) NASA/Caltech Jet Propulsion Laboratory (USA). Towards Autonomy in Human-RobotCollaboration, August 2012.

(IT.10) International Conference on Robotics and Automation Workshop on Uncertainty in Automation.Bootstrap Learning for Visual Perception on Mobile Robots, May 2011.

(IT.9) Office of Naval Research (ONR) Workshop. Layered Object Models and Hierarchical Plan-ning using Visual Inputs, April 2011.

(IT.8) University of Utah (USA) School of Computing Colloquium. Bootstrap Learning and Prob-abilistic Decision-making on Mobile Robots using Visual Cues, September 2010.

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(IT.7) Abilene (USA) Re-Invent Abilene. Autonomous Learning and Adaptation for CognitiveMobile Robots, January 2009.

(IT.6) The University of Texas at Austin (USA). Planning to See: Hierarchical POMDPs forJoint Planning of Information Processing and Sensing Actions, October 2008.

(IT.5) University of Southampton (UK) Seminar Series Planning to See: Autonomous Learningand Planning from Visual Input on Mobile Robots, October 2008.

(IT.4) British Machine Vision Association Workshop (London, UK). Autonomous Learning andAdaptation on a Mobile Robot using Visual Information, May 2008.

(IT.3) University of Edinburgh (UK). Color Learning on a Mobile Robot under Changing Illu-mination, June 2007.

(IT.2) Universidad de Chile (Santiago, Chile). Autonomous Planned Color Learning on a MobileRobot, May 2007.

(IT.1) University of Birmingham (UK). Color Learning on a Mobile Robot: Towards Autonomyunder Changing Illumination, April 2007.

• Invited Talks and Presentations (internal):

(IL.18) University of Birmingham (UK) SciPhy4Health Seminar Series. Knowledge Representation,Explainable Reasoning, and Interactive Learning in Robotics, June 2019.

(IL.17) University of Birmingham (UK) Computational Neuroscience and Cognitive Robotics SeminarSeries. Non-monotonic Logical Reasoning and Deep Learning for Visual QuestionAnswering, October 2018.

(IL.16) University of Birmingham (UK) Computational Neuroscience and Cognitive Robotics SeminarSeries. Knowledge Representation, Reasoning and Learning Challenges in Human-Robot Collaboration, October 2018.

(IL.15) University of Birmingham (UK) SyMoN Lab Talk Series. Computational Models of Cogni-tion for Human-Robot Collaboration, October 2018.

(IL.14) University of Birmingham (UK) School of Computer Science Theory Group Seminar Series.REBA: A Refinement-Based Architecture for Knowledge Representation and Rea-soning in Robotics, May 2018.

(IL.13) The University of Auckland (NZ) Computer Science Intelligent Systems and Informatics SeminarSeries. Towards An Architecture for Human-Robot Collaboration, September 2014.

(IL.12) Texas Tech University (USA) Computer Science Seminar Series. Autonomy in Human-RobotCollaboration: Expeditions in Learning, Representation and Interaction, April 2014.

(IL.11) Texas Tech University (USA) Association for Computing Machinery. Autonomous Robotsand Intelligent Agents, November 2012.

(IL.10) Texas Tech University (USA) Computer Science Seminar Series. Towards Synergetic Auton-omy in Human-Robot Collaboration, October 2012.

(IL.9) Texas Tech University (USA) Mechanical Engineering Seminar Series. Bootstrap Learning onMobile Robots and Autonomous Agents, September 2011.

(IL.8) Texas Tech University (USA) Association for Computing Machinery. Research Projects inRobotics and Autonomous Systems, September 2011.

(IL.7) Texas Tech University Department of Psychology Cognitive Brown Bag. Learning Planningand Multirobot Collaboration using Visual Inputs, April 2011.

(IL.6) Texas Tech University (USA) College of Engineering Inter-disciplinary Seminar Series. Boot-strap Learning for Robotics and Beyond, March 2011.

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(IL.5) Texas Tech University (USA) Department of Psychology Cognitive Brown Bag. BootstrapLearning and Adaptation on Mobile Robots, October 2009.

(IL.4) University of Birmingham (UK) School of Computer Science. Multi-robot System: Issuesand Solutions, November 2007.

(IL.3) University of Birmingham (UK) School of Computer Science. Color Segmentation: ColorSpaces and Illumination, October 2007.

(IL.2) The University of Texas at Austin (USA). Color Spaces and Probabilistic State Estimation,October 2006.

(IL.1) The University of Texas at Austin (USA). Visual Processing Challenges in Robot Soccer,October 2005.

AWARDS & HONORS

• EU H2020 Future and Emerging Technologies, CHIST-ERA: BURG: Benchmarks for UndeR-standing Grasping, April 2019—March 2022. Markus Vincze (PI, TU Wien), Timothy Patten (Co-I, TU Wien); Ales Leonardis (PI, UoB), Mohan Sridharan (Co-I, UoB); Tatiana Tommasi (PI, IIT),Barbara Caputo (Co-I, IIT); Guillem Alenya (PI, CSIC), Carme Torras (Co-I, CSIC), Julia Borras(Co-I, CSIC). Award amount (UoB): AC449, 799.

• Office of Naval Research (ONR): Scalable Inference of Affordance, Activity, and Intent fromSpatio-Temporal Input, June 2017—May 2020. Mohan Sridharan (PI, The University of Auckland,New Zealand) and Pat Langley (Co-PI, Institute for the Study of Learning and Expertise, USA).Award amount: US $518, 583.

• Best Poster Award at the Workshop on Emerging paradigms for robotic manipulation: from the labto the productive world at the Robotics Science and Systems Conference, 2019.

• Finalist for Best Paper Award at Robotics Science and Systems Conference, 2019.

• The University of Auckland (UoA) Foundation/Seelye Fellowship: Frontiers and Challenges in Au-tonomous Robots, January 2017—December 2017. Mohan Sridharan. Award amount: NZ $14, 000.

• The University of Auckland (UoA), Faculty of Engineering Seed Fund: Self-Organizing Behavior:What Software Teams and Autonomous Robot Teams can Learn from each other, January2017—December 2017. Rashina Hoda (PI) and Mohan Sridharan (Co-PI). Award amount: NZ $10, 000.

• Air Force Office of Scientific Research (AFOSR)/Asian Office of Aerospace R&D (AOARD): TowardsEarly Inference of Human Intent and Affordances for Human-Robot Collaboration, August17, 2016—August 16, 2019. Mohan Sridharan (PI, The University of Auckland) and Keith Jones (Co-PI, Texas Tech University). Award amount: US $253, 000.

• Visionary Paper Award at the Autonomous Robots and Multiagent Systems (ARMS) workshop atInternational Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2016.

• The University of Auckland (UoA), Distinguished Visitor Award: Stochastic Estimation andSmart Sensor Technology for Agricultural Applications, February 2016—February 2017. Mo-han Sridharan. Award amount: NZ $9000.

• Office of Naval Research (ONR): Knowledge Representation and Reasoning for Collaborationin Ad hoc Human-Robot Teams, July 31, 2013—August 29, 2017. Mohan Sridharan (PI, TexasTech University/The University of Auckland) and Peter Stone (Co-PI, The University of Texas atAustin). Award amount: US $977, 465.

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• National Science Foundation (NSF): EAGER: CHS: Collaborative: Analyzing Elder Care toGuide the Design of Caregiver Robots, September 1, 2014—August 31, 2017. Keith Jones (PI,Texas Tech University), Mohan Sridharan (Co-PI, The University of Auckland) and Barbara Cherry(Co-PI, Texas Tech Health Science Center). Award amount: US $189, 168.

• The University of Auckland (UoA) International Central Networks Fund: March 2015—March 2016.Mohan Sridharan. Award amount: NZ $4500.

• Best Paper Award at the 27th International Conference of the Florida Artificial Intelligence ResearchSociety (FLAIRS 2014).

• National Science Foundation (NSF): Research Experiences for Undergraduates in Cyberse-curity, Robotics and Software Engineering, May 1, 2013—April 30, 2016. Susan Urban (PI),Joseph Urban (Co-PI), Mohan Sridharan (Co-PI) and Eonsuk Shin (Co-PI), Texas Tech University.Award amount: US $357, 337.

• Texas Tech University (TTU): Service Learning Faculty Fellow, Fall 2012—Spring 2013. MohanSridharan. Award amount: US $1500.

• National Science Foundation (NSF): Research Experiences for Undergraduates in SoftwareEngineering and Service Composition, May 1, 2010—April 30, 2013. Susan Urban (PI), EonsukShin (Co-PI) and Mohan Sridharan (Co-PI), Texas Tech University. Award amount: US $356, 583.

• Office of Naval Research (ONR) Science of Autonomy Award : Active Learning for Sequen-tial Sensing and Efficient Human Interaction in Collaborative Human-Robot Teams,March 16, 2009—December 31, 2012. Peter Stone (PI, The University of Texas at Austin), IanFasel (Co-PI, The University of Arizona) and Mohan Sridharan (Co-PI, Texas Tech University).Award amount: US $1, 200, 000.

• Texas Tech University (TTU): Growing Graduate Programs Funding, September 1, 2011—August 31, 2012. Mohan Sridharan. Award amount: US $26, 000.

• Paper of Excellence Award at the International Conference on Development and Learning andEpigenetic Robotics (ICDL-EpiRob 2012).

• Texas Tech University (TTU): Institute of Inclusive Excellence Faculty Fellow, Fall 2011—Spring 2012. Mohan Sridharan. Award amount: US $1000.

• Best Reviewer Award at the Symposium on Image and Video Technology (2009).

• Distinguished Paper Award at the International Conference on Automated Planning and Schedul-ing (ICAPS 2008), a premier planning conference.

• Institute of Personal Robots in Education (IPRE): Equipment Funds, May 2008. Mohan Sridha-ran. Award amount: US $1000. Funds supported the purchase of IPRE fluke robots that are used ineducational initiatives and outreach activities.

• Robot Soccer Competitions: First position in the Standard Platform League (SPL) of the US-OpenRobot Soccer Competitions in 2010 and 2009. Third (fourth) position in the SPL of the InternationalRobot Soccer competitions, i.e., RoboCup, in 2010 (2009). Quarter-finalists in the SPL (international)in 2011, 2007, 2005, 2004.

• First position in the Open Research Challenge at RoboCup in 2007.

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TEACHING & STUDENT SUPERVISION

• Teaching Schedule (University of Birmingham):

− Autumn 2018, 2019: Intelligent Robotics (06-13520/06-15267): undergraduate (third-year/fourth-year)/MSc module.

• Teaching Schedule (The University of Auckland):

− Semester 2 (2017): Computer Networks and Distributed Applications (CompSys 725): part IVelective.

− Semester 1 (2017): Computer Networks (SoftEng 364): part III core course; Foundations ofBayesian Machine Learning (SoftEng 753): part IV elective; Robotics and Intelligent Systems(CompSys 726): part IV elective.

− Semester 2 (2016): Microcomputers and Embedded Systems (CompSys 303): part III corecourse; Computer Networks and Distributed Applications (CompSys 725): part IV elective.

− Semester 1 (2016): Computer Networks (SoftEng 364): part III core course.− Semester 2 (2015): Object Oriented Design and Programming (CompSys 202/MechEng 270)

part II core course; Microcomputers and Embedded Systems (CompSys 303): part III core course;Computer Networks and Distributed Applications (CompSys 725): part IV elective.

− Semester 1 (2015): Computer Networks (SoftEng 364): part III core course.− Semester 2 (2014): Microcomputers and Embedded Systems (CompSys 303): part III core

course; Computer Networks and Distributed Applications (CompSys 725): part IV elective.

• Teaching Schedule (Texas Tech University):

− Spring 2014: AI Robotics (CS5391/CS4391/EE5332/EE4332): introductory course on proba-bilistic robotics (graduate/undergraduate).

− Fall 2013: Programming Principles II (CS1412): undergraduate course on C programming.− Spring 2013: Programming Principles II (CS1412): undergraduate course on C programming.− Fall 2012: Programming Principles II (CS1412): undergraduate course on C++ programming.− Spring 2012: (a) Computer Graphics (CS4395): undergraduate elective; (b) Programming Prin-

ciples II (CS1412): undergraduate course on C++ programming.− Fall 2011: (a) Intelligent Systems (CS5368): introductory course on AI (graduate); (b) Human-

Computer Interaction (CS3366): undergraduate elective.− Spring 2011: Machine Learning for Robotics and Vision (CS5331/CS4331): research seminar

(graduate, undergraduate).− Fall 2010: (a) Intelligent Systems (CS5368/CS4000): introductory (graduate/undergraduate)

course on AI; (b) Computer Graphics (CS4395): undergraduate elective.− Spring 2010: AI Robotics (CS5391/CS4391): introductory course on probabilistic robotics

(graduate/undergraduate).− Fall 2009: Machine Learning (CS5331): research seminar.− Spring 2009: Autonomous Mobile Robots (CS5331/CS4331): research seminar.− Fall 2008: AI Robotics (CS5391/CS4391): introductory course on probabilistic robotics (gradu-

ate/undergraduate).

• Postdoctoral researchers:

1. Rocio Gomez. November 2016—present; Supervisor.2. Shiqi Zhang. August 2013—February 2014; Supervisor.

• Research programmers supervised:

1. Ben Meadows. June 2016—present; Supervisor.2. Heather Riley. May 2017—December 2018; Supervisor.

• Current graduate students at UoB:

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1. Laura Ferrante. Target degree: Ph.D.; October 2018—present; Supervisor.2. Oliver Kamperis. Target degree: Ph.D.; October 2018—present; Supervisor.3. Mark Robson. Target degree: Ph.D.; October 2018—present; Supervisor.4. Saif Sidhik. Target degree: Ph.D.; August 2018—present; Supervisor.5. Oliver Kim. Target degree: Ph.D.; August 2018—present; Supervisor.6. Maija Filipovica. Target degree: M.S. (thesis); October 2018—present; Supervisor.

• Current graduate students at UoA:

1. Tiago Andrade Mota. Target degree: Ph.D.; January 2017—present; Supervisor.2. Anna Joseph. Target degree: Ph.D.; February 2017—present; Supervisor.3. Rivindu Weerasekara. Target degree: Ph.D.; April 2015—present; Supervisor.

• Current graduate students at TTU:

1. Niloofar Fathollahi. Target degree: Ph.D.; March 2018—present; Co-Supervisor.

• Past graduate students at UoA:

1. Heather Riley. Target degree: M.S. (thesis); January 2018—April 2019; Supervisor.2. Jing Lu. Target degree: MEngSt.; August 2016—November 2016; Supervisor.3. Bin Liu. Target degree: MEngSt.; March 2016—June 2016; Supervisor.4. Ning Wu. Target degree: MEngSt.; August 2015—November 2015; Supervisor.5. Abhinav Bhardwaj. Target degree: MEngSt.; August 2014—July 2015; Supervisor.6. Akhil Sharma. Target degree: MEngSt.; August 2014—July 2015; Supervisor.

• Past graduate students at TTU:

1. Han Xu. M.S. (Thesis); Graduated May 2017; Committee Chair.2. Sarah Rainge, M.S. (Thesis); Graduated August 2014; Committee Chair.3. Shiqi Zhang. Ph.D.; Graduated August 2013; Committee Chair.4. Xiang Li. Ph.D.; Graduated August 2013; Committee Chair.5. Kimia Salmani. M.S. (Thesis); Graduated August 2013; Committee Chair.6. Samujjwal Bhandari. Ph.D.; Graduated December 2013. Committee Co-chair with Dr. Su-san Urban (IE).7. Justin Griggs. M.S. (Thesis, EE); Graduated August 2012; Committee Co-chair with Dr. RichardGale (EE).8. Aaron Lee. M.S. (Thesis, EE); Graduated December 2011; Committee Co-chair with Dr. RichardGale (EE).9. Mamatha Aerolla. M.S. (Thesis); Graduated May 2011; Committee Chair.

• Past undergraduate students at UoA:

1. Emily Melhuish. B.E. (Hons); Supervisor (February 2017—September 2017).2. Murali Magesan. B.E. (Hons); Supervisor (February 2017—September 2017).3. Claudia Pottinger. B.E. (Hons); Supervisor (February 2017—September 2017).4. Tim Hughes. B.E. (Hons); Supervisor (February 2017—September 2017).5. Heather Riley. B.E. (Hons); Supervisor (February 2017—September 2017).6. Callum Williamson. B.E. (Hons); Supervisor (February 2017—September 2017).7. Sunny Wang. B.E. (Hons); Supervisor (February 2017—September 2017).8. Catherine Law. B.E. (Hons); Supervisor (February 2017—September 2017).9. Anurag Mishra. B.E. (Army Institute of Technology, India); Supervisor (December 2016—February 2017).

10. Soumya Puri. B.E. (Hons); Supervisor (February 2016—September 2016).11. Tushar Taneja. B.E. (Hons); Supervisor (February 2016—September 2016).12. David Liao. B.E. (Hons); Supervisor (February 2016—September 2016).13. Kangxiang Yuan. B.E. (Hons); Supervisor (February 2016—September 2016).

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14. Toni Otang. B.E. (Hons); Supervisor (February 2016—September 2016).15. Keir Mitchell. B.E. (Hons); Supervisor (February 2016—September 2016).16. Zane Gibbs. B.E. (Hons); Supervisor (November 2015—March 2016).17. Prashanth Devarakonda. B.E. (Hons); Supervisor (November 2014—February 2016).18. Zenon Colaco. B.E. (Hons); Supervisor (November 2014—December 2015).19. Rashmica Gupta. B.E. (Hons); Supervisor (November 2014—November 2015).20. Joshua Free. B.E. (Hons); Supervisor (February 2015—September 2015).21. Michael Lo. B.E. (Hons); Supervisor (February 2015—September 2015).22. Anna Mace. B.S.; Supervisor (February-June 2015).

• Past undergraduate students at TTU:

1. Patricia Andrews. B.S. (Colorado College); Supervisor (June-August 2013).2. Olatide Omojaro. B.S. (Georgia Perimeter College); Supervisor (June-August 2013).3. Aaron Hester. B.S.; Supervisor (June-August 2013).4. Emilie Featherston. B.S.; Co-supervisor (June-August 2013).5. Christian Washington. B.S. (Louisiana State University); Supervisor (June-August 2012).6. Catie Meador. B.S. (Swarthmore College); Supervisor (June-August 2012).7. Sabyne Peeler. B.S. (Florida A&M University); Co-supervisor (June-August 2012).8. Shiloh Huff. B.S.; Co-supervisor (June-August 2012).9. Stephanie Graham. B.S.; Co-supervisor (June-August 2012).

10. Austin Ray. B.S.; Co-supervisor (Spring 2012)11. David South. B.S.; Co-supervisor (Spring 2012).12. Kevin Thomas. B.S.; Co-supervisor (Spring 2012).13. Jesse Kawell. B.S. (Samford University); Supervisor (June-August 2011).14. David Kari. B.S. (California Baptist University); Supervisor (June-August 2011).15. David Seibert. B.S. (Emory University); Supervisor (June-August 2011).16. James Smith. B.S. (The University of Texas at Austin); Supervisor (June-August 2011).17. Mary Shuman. B.S. (University of North Carolina Charlotte); Co-supervisor (June-August2011).

18. Matthew Sullivan. B.S.; Supervisor (Spring-June-August 2011).19. Kshira Nadarajan. B.S. (Iowa State University); Supervisor (June-August 2010).

• Ph.D. RSMG Committee (UoB):

1. Fatma Faruq.2. Sagir Yusuf.

• Ph.D. Oral Examination Committee (UoA):

1. Zhenmin Li (ECE); 2016.2. Zeeshan Bhatti (ECE); 2016.3. Muhammad Usman Butt (ECE); 2016.

• Ph.D. Provisional Year Review Committee (UoA):

1. Bill Collis (ECE); 2016.2. Jamie Bell (ECE); 2016.3. Zachary Roberts (ECE); 2016.4. Mohd Halim Mohd Noor (ECE); 2015.5. Neha Sharma (ECE); 2015.6. Mohd Nazrin bin Muhammad (ECE); 2014.

• Dissertation/Thesis/Project Assessor (UoA):

1. Rui Zhang. MEngSt. project assessment (ECE); 2016.2. Ahtasham Chaudhry. MEngSt. project assessment (ECE); 2015.

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3. Venkata Naga Rohit Gunturi. MEngSt. project assessment (ECE); 20154. Anvay Kumar. MEngSt. project assessment (ECE); 2014.

• Dissertation/Thesis/Project Committee member (TTU):

1. Mesfin Dema. Ph.D. (EE); Graduated May 2014.2. Jarred Blount, Ph.D.; Graduated August 2013.3. Muneem Shahriar. Ph.D. (EE); Graduated August 2012.4. Eddy Borera. Ph.D.; Graduated August 2012.5. Kedar Hippalgaonkar. M.S. (Project); Graduated August 2012.6. Jamila Murabbi. M.S. (Project); Graduated August 2011.7. Brett Moore. Ph.D.; Graduated August 2010.8. Arisoa Randrianasolo. M.S.; Graduated May 2010.

• Training for Teaching and Leadership:

1. CLeaR Lights Leadership in Teaching, Program offered by the Centre for Learning andResearch in Higher Education (CLeaR), The University of Auckland.2. Teaching Catalyst: Documenting your Teaching, Workshop organized by the Centre forLearning and Research in Higher Education (CLeaR), The University of Auckland.3. Service Learning Faculty Fellow, Program offered by the Teaching, Learning and Profes-sional Development Center (TLPDC), Texas Tech University.4. Institute of Inclusive Excellence Fellow, Program offered by the Division of InstitutionalDiversity, Equity & Community Engagement and the Teaching, Learning, and Professional Devel-opment Center (TLPDC), Texas Tech University.

PROFESSIONAL (SERVICE) ACTIVITIES

• Editor, Associate Editor, Chair, Senior Program Committee:

− Editor/Co-Editor:− Co-editor (with Gerald Tesauro and James Hendler): IEEE Intelligent Systems special issue

on Cognitive Computing (2016—2017).− Section Editor; Journal of Physical Agents (Current).

− Associate Editor:− International Conference on Robotics and Automation, ICRA (2019—2015, 2012).− International Journal of Advanced Robotic Systems (2014-current).− Artificial Intelligence Review Journal (2014-2016).− International Conference of Intelligent Robots and Systems, IROS (2011).

− Chair/Co-Chair:− Robotics Track Co-Chair, International Conference on Autonomous Agents and Multiagent

Systems, AAMAS (2019).− Senior Program Committee:

− International Joint Conference on Artificial Intelligence, IJCAI (2017, 2016, 2013).− International Conference on Autonomous Agents and Multiagent Systems, AAMAS (2016,

2015).− AAAI Conference on Artificial Intelligence (2014).

• Organizing Committee:

− Knowledge-based Sequential Decision-Making under Uncertainty tutorial at the AAAI Conference(2019); Committee co-chair .

− Integrating Representation, Reasoning, Learning and Execution for Goal-Directed Autonomy sym-posium at the AAAI Spring Symposium Series (2018).

− Knowledge Representation and Reasoning in Robotics (KRR) symposium at the AAAI SpringSymposium Series (2014); Committee chair .

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− Knowledge Representation and Reasoning in Robotics (KRR) workshop at International Confer-ence on Logic Programming (2013); Committee chair .

− Bayesian Methods for Data Analysis in Software Engineering tutorial at the International Con-ference on Software Engineering (2010); Committee co-chair .

• Program Committee Member:

− International Conference on Robot Learning, CoRL (2019).− International Symposium on Multi-Robot and Multi-Agent Systems, MRS (2019).− International Conference on Logic Programming, ICLP (2019).− AAAI Conference on Artificial Intelligence (2019, 2018, 2017, 2016).− International Conference on Human-Agent Interaction, HAI (2018).− Annual Conference on Advances in Cognitive Systems, ACS (2018).− International Conference on Robot Learning, CoRL (2018).− International Joint Conference on Artificial Intelligence, IJCAI (2018, 2009).− Intelligent Robotics and Multi-Agent Systems, IRMAS track of the ACM SAC (2018, 2015).− International Conference on Robotic Computing, IRC (2018).− International Conference on Autonomous Agents and Multiagent Systems, AAMAS (2018, 2017,

2014, 2013, 2009).− International RoboCup Symposium (2017—2006).− International Conference on Simulation, Modeling and Programming for Autonomous Robots,

SIMPAR (2016, 2012, 2010, 2008).− International Conference on Intelligent Robotics and Applications, ICIRA (2015).− Workshop on Computer Vision + Ontology Applied Cross-Disciplinary Technologies, CONTACT

at ECCV (2014).− European Conference on Artificial Intelligence, ECAI (2014).− International Conference on Artificial Intelligence, AAAI: Integrated Intelligence Track (2011).− International Workshop on Robot Vision, VISAPP (2008, 2007).− Symposium on Image and Video Technology, PSIVT (2010—2007).− Robotics, Science and Systems, RSS (2006).− International Workshop on Multi-Agent Robotic Systems, MARS (2008—2005).

• Reviewer for Journals and Books:

− Artificial Intelligence Journal (2019, 2013).− IEEE Intelligent Systems (2017, 2016).− International Journal of Advanced Robotic Systems (2016, 2012).− Journal of Intelligent and Robotic Systems (2016, 2013—2011).− Advances in Cognitive Systems (2015).− IEEE Transactions on Robotics (2015, 2014).− IEEE Transactions on Autonomous Mental Development (2015).− Journal of Autonomous Agents and Multi-Agent Systems (2009—2013).− Book titled: Robotic Vision: Technologies for Machine Learning and Vision Applications (2012).− Transactions on Systems Cybernetics and Man, Part B (2011).− Knowledge Engineering (2011); IEEE Systems Journal (2011).− Transactions on Industrial Electronics (2010); Advanced Artificial Intelligence (2009).− Book proposal review, Wiley-Blackwell (2009).− Machine Vision Applications (2009—2007); Computer Vision Applications (2009).− Transactions on Pattern Analysis and Machine Intelligence (2008).− Robotics and Autonomous Systems (2008, 2005).− Transactions of Industrial Engineering (2008).− International Journal of Robotics Research (2007); Autonomous Robots (2004).

• Reviewer for Conferences and Symposia:

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− International Conference on Intelligent Robots and Systems, IROS (2015, 2013, 2012, 2005).− AAAI Workshop on AI and Robotics, AIRob (2014).− International Conference on Robotics and Automation, ICRA (2014, 2013, 2011, 2010, 2005).− International Conference on Intelligent Autonomous Systems, IAS (2008).− International RoboCup Symposium (2005, 2004).

• Member of the Technical Committee (2007—2005) and Organizing Committee (2006) of the RoboCupFour-Legged League.

• Proposal Reviews:

− AI Singapore Research Programme, reviewer; 2019, 2018.− German Academic Exchange Service (Deutscher Akademischer Austausch Dienst, DAAD), re-

viewer; 2017.− Czech National Science Foundation (NSF), reviewer; 2016, 2015.− US National Science Foundation (NSF), review panel; 2013, 2012, 2010, 2009.

• Service to the School and University (UoB):

− MSc (Robotics) Program Director and Director of Admissions, School of Computer Science (2018-2020).

• Professional Service (UoA):

− IEEE New Zealand North Section Vice-Chair (2017).− IEEE New Zealand North Section Treasurer (2015–2016).

• Service to the Department and University (UoA):

− Part IV Projects Co-coordinator, Department of Electrical and Computer Engineering (2017).− Deputy Director, Computer Systems Engineering program, Department of Electrical and Com-

puter Engineering (2016—present).− ECE Representative, Faculty of Engineering ChallENG Initiative (2015).− ECE (Computer Systems Engineering) Representative, Courses and Careers Day (2015, 2014).− Part IV projects seminar and report marking: September-October (2015, 2014).

• Service to the Department and University (TTU):

− TTU CS Faculty Search Committee: August 2013—March 2014.− TTU CS Strategic Planning Committee: September 2013—March 2014.− TTU CS Department Advisory Committee: September 2013—March 2014.− TTU CS Department Relations Committee: September 2013—May 2014.− TTU Graduate School Scholarship Review: March 2014; July 2013; March 2013.− TTU College of Engineering Grade Appeal Board : May 2013, July 2011.− TTU CS Graduate Admissions Committee: April—May 2014; August 2010—2013; October

2008—August 2009.− TTU CS Undergraduate Program Committee: August 2012—2013; August 2009—July 2010.− TTU CS Graduate Students Seminar (supervisor): Fall 2012.− TTU CS Graduate Program Committee: August 2010—2012; October 2008—August 2009.− TTU CS Research Task Force: August 2009—July 2010.

• Outreach Activities (TTU):

− On-campus robot demonstrations for local middle school and high school students, e.g., Societyof Women Engineers’ Catch the Engineering Bug event and visits by high school students fromlocal school districts (2008—2014).

− Judge on-campus robotics competitions for regional elementary, middle school and high schoolstudents (2011—2014).

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− Off-campus robot demonstrations at schools and science fairs (2010—2014).− Science Its a Girl Thing summer camp; middle school students learned core computing concepts

using an educational tool that integrates 3D programming with robotics (July 2012).− Native American Summer Bridge Institute (NASBI); high school students learned about com-

puter science, artificial intelligence and robotics (June 2012, July 2011).− Institute of Inclusive Excellence Fellow; Division of Institutional Diversity, Equity and Commu-

nity Engagement (Fall 2011—Spring 2012).− Two-week robotics summer workshop for high school students at Abilene’s Academy of Technol-

ogy, Engineering, Math and Science (ATEMS): students learned core computing concepts byprogramming robots (July 2010).

Immigration Status: Work visa (UK), Permanent resident (NZ).

References: Available on request.

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