29
Computing & Information Sciences Faculty Evaluation Information Form (Revised March 2012 to conform to CIS Policies and Procedures for Annual Evaluation, Promotion, Tenure, and Professional Performance) Name : Daniel Andresen Rank : Assoc. Professor This form is designed to remind both you and the department head of the many things the latter needs to know as he/she attempts the admittedly difficult task of evaluating your activities of the past year. As they are appropriate to your situation, please answer the following questions based on your activities from January 1, 2014 to December 31, 2014. Use whatever modes (narration, enumeration, statistics, etc.) seemed appropriate. Give as much detail as is necessary to adequately describe your contributions. 1.TEACHING 1.1. Contribution to Departmental Education Programs 1.1.1. Course information summary: Courses number 450 641 642 590 CIS526 Students enrolled 44 18 24 10 28 TA tenths assigned .25 .5 0 0 .5

people.cis.ksu.edupeople.cis.ksu.edu/~dan/job/evalform14/CIS Faculty Eval…  · Web viewComputing & Information Sciences. Faculty Evaluation Information Form (Revised March 2012

  • Upload
    dokien

  • View
    215

  • Download
    0

Embed Size (px)

Citation preview

Computing & Information SciencesFaculty Evaluation Information Form

(Revised March 2012 to conform to CIS Policies and Procedures for Annual Evaluation, Promotion, Tenure, and Professional Performance)

Name: Daniel Andresen Rank: Assoc. Professor

This form is designed to remind both you and the department head of the many things the latter needs to know as he/she attempts the admittedly difficult task of evaluating your activities of the past year. As they are appropriate to your situation, please answer the following questions based on your activities from January 1, 2014 to December 31, 2014. Use whatever modes (narration, enumeration, statistics, etc.) seemed appropriate. Give as much detail as is necessary to adequately describe your contributions.

1. TEACHING

1.1. Contribution to Departmental Education Programs

1.1.1. Course information summary:

Courses number 450 641 642 590 CIS526

Students enrolled 44 18 24 10 28

TA tenths assigned .25 .5 0 0 .5

1.1.2. New courses developed or being developed:

“Introduction to Critical Thinking” – first taught spring ’14 (with Bell, Vasserman, Sayer (Physics), and others.

1.1.3. Revisions of existing courses to include new instructional materials:

CIS526 was substantially revised to move from a Microsoft .Net-based environment to Ruby on Rails/Github, as well as continuing to upgrade our Agile and design-related materials.

CIS641/642 was substantially revised by Bean and Andresen from Gustafson’s course to make a more Agile- and design-oriented course. We also moved to Canvas and Github as course foundations for students to work in teams and turn in materials. This was our first time teaching the course.

1.1.4. Overload courses and/or special topics courses taught:

CIS590 – ACM Contest Prepration – had 10 students signed up who participated in our local programming contest and the regional ACM

690/798 – Salvador Garcia Garcia – Android app senior project

690 – Aravind Kothakapu – monitoring online tests with data visualization

690 – Sandeep Pakker – online shopping application using C#/.Net

690 - Saketh Pulipaka – Android emergency app

690 – Anisha Rayapati – Inventory/CMS system using C#/.Net

798 – Deepti Garlapati – parallelization of R genomics code

890 – Hao Qian – distributed scheduling algorithms

1.1.5. Instructional Grants:

none

1.2. Student-instructor relationships

Advisees do not include students for which you are major professor or supervisor.

1.2.1. Current undergraduate advisees:

Abdullah Alanazi, Melissa Alvarado, John Bennett, Phillip Brooks, Klinton Brown, Jeffrey Carlson, Ashley Coleman, Caleb Cott, Andrew Darrow, Wondwossen Dessie, Nicholas Elliott, Xin Fang, Logan Fortney, Joy Hauser, Kameron Hertel, Erica Johnson, Brian Justice, Frederick Lee, Brandon Lor, Diamond McNeill, Jalen Montgomery, Jacob Morgan, Jacob Morgan, Austin Murphy, Jeremiah Murphy, Kyle Murphy, Daniel Newsum, Bryce Nordgren, Simon Novelly, David Parker, Neal Patel, Johnathon Poorman, Nicholas Pucci, Alec Ruth, Gui Say, Natalie Schmidt, Adam Seiwert, Brian Simonson, Yuan Su, Spencer Taylor, James Thompson, Ta-Wei Ting, Matthew Traudt, Ashel Vas, Dalton VonFeldt, Nicholas Wade, Yusa Ying, Jiayang Zhou.

1.2.2. Current graduate advisees:

1.2.3. Other, to include student club advising, university open house, additional mentoring activities, etc.:

Advisor for local ACM chapter and their activities in Open House (parade and float)

Advisor for Christian Challenge and Christians in Action student clubs Advisor for ACM game nights (typically 4 per semester) Head judge for ACM local programming contests (1 per semester) Coach for regional ACM programming contest, taking 11 students (3 teams) to

UNL overnight to compete. Took six students (in addition to David Turner, Kyle Hutson and Adam Tygart) to

the OSCER Supercomputing Symposium, October, 2013. Met with numerous prospective students and their families over the course of the

year. See photo of thank-you note below from one of them.

Participated as advisor for student enrollment. Helped greet kids and guardians at “Hour of Code” event in conjunction with

ACM, Manhattan, KS, December 10, 2014.

1.3. Student evaluations

1.3.1. Teacher effectiveness average: (Complete with the average of the TEVAL "Teacher effectiveness" raw averages for all courses in each level.)

Course Level 100/200 300 400/500 600/700 800

Teacher Effectiveness 4.7 4.1

1.3.2. Written comments from course evaluations:

450:

His in class manner was very engaging, and you could tell the class responded. Also he actually put people on the spot, which I forced students to actually think about the stuff he was talking about. Also, the projects were very interesting and practically useful, if hard.He does a good job of explaining the material and making the concepts as clear as possible.Dan teaches in a way that is unique and can only be described as the "Andresen Effect". His knowledge is deep and second to none, but he still tries his hardest to pass on that knowledge to those in his class. Loved the class so much that I enrolled in another class next semester just because he is teaching it.

Although he understands and knows the subject very well, most of the learning has to be done independently outside of class.This is because he flies through everything in the slides as if we already know the subject matter even if we've never seen itbefore. The technical lab part of the course is unexplained and although it makes you think deeply about how to do the projects, is more stressful then it is helpful. It is a difficult class that should be easier if we spent more time understanding the subjects and less time assuming.Grading procedures seemed fair. The projects were very hardThis was a very difficult course that started off very rough. However throughout the year I found that I was actually learning quite a bit.One this I would have really liked is for the professor to have gone over the homework in class and in depth as they were very difficult.Dan is a fun instructor to have. I enjoy that he engages the class and picks people out of the class to try to answer questions. Obviously the point of asking the question is to help learning, so most times it's a matter of getting people focused on the question so that he can answer it more in detail. He does a pretty good job of providing concrete examples and simple analogies to help think about the deep problems in Computer Science, which is also good. Dumbing things down to a level thatI can understand is a good quality in teachers.Room for improvement might be there in the pacing of the class. There were times when we hit really difficult concepts fast and hard in a way that it was difficult for me to retain the information. This is understandable since there is SO MUCH to cover inthe class, and spending too much time on any one subject would lead to a lack of time spent on the other subjects. However,Dan did a good job of covering what needed to be covered, and emphasized the most important concepts by including them on the weekly quiz.The projects he assigned were interesting and engaging. I always went into them completely over my head, overwhelmed, and frustrated at a general lack of understanding at how things work. However, I always came out of them glad that I had applied new concepts in some degree and learned new areas of programming.

526:· This is my second course with Dr. Andresen. Not only have I learned the most in the two courses I've taken with him, I've enjoyed doing it. Dr. Andresen is a PhD who understands how to make learning enjoyable and still keep it challenging, which Ifind to be a rare trait.· He really understands that there are students that need to have one on one teaching, and he makes it a point to try to connect to those students in the classroom.· Andresen lectures in a way that brings enthusiasm and involvement into the classroom. It is nicer to sit through than hum-drum lectures over similar topics.· Not sure why this class even has two teachers assigned to it. Andresen got up and actually taught maybe a handful of times the entire semester. Most of the time he just came in and sat down in an available seat like any other student. Admittedly not entirely his fault as this class, other than for sprint reviews, there was utterly no need for two teachers.· Interesting class, I would recommend it to others.· :D

590:· I find his teaching style to be rather effective, and the class was enjoyable. He was willing to take on an extra course that was only offered if enough students could be gathered.

641/642:• I have had him for a class before. While I think this class in particular is not structured the greatest, I still think he's an excellent teacher.• Dan is easily one of my favorite professors in the department and in the university as a whole. Nobody has interested me more in subjects that I wasn't necessarily even intrigued by beforehand. With this, I've certainly learned the most in his courses, giving me a good foundation for my job in the future.

1.3.3. Interpretation/explanation of TEVAL results:

The TEVAL results were reasonably fair. 526 and 641/642 were practically new courses, given the massive changes that Nathan and I made to them, which usually depresses TEVAL ratings to some extent, but the students still generally seemed to enjoy the course and learn. Student indicated they learned less in 641/642, which to some degree is to be expected since (a) most have already been in the professional world for several years by this course, and (b) the course is for them to primarily solidify and demonstrate existing skills, not necessarily introduce brand new topics.

1.4. Course assessment

1.4.1. Self assessment of each course taught. Include any changes made, how the students did, and what you might change in the future:

450 – Students generally learned a lot and enjoyed the course. The pace was somewhat hurried due to an unusual amount of travel on my part, which should be less of a factor in future semesters. The students comments about homework assignments and lack of good feedback for them I plan to address by asking the GTA to meet individually with teams to go over their results.

590 – I plan to request a longer class session to allow a deeper classroom exploration of the algorithmic concepts. This semester felt a little rushed.

641/642 – Overall, the switch to an Agile/Design focus was very well received by the students. However, given their level of experience coming into the course, we can deepen the level of expectations, and we need to further emphasize professional attitudes at the beginning of the course.

1.4.2. Department head comments based on classroom visits:

n/a

1.5. Other (instructional grants, learning enhancement programs, awards, etc.)

n/a

2. RESEARCH

2.1. Unpublished research

2.1.1. New ideas or results which have not been published (including teaching, advising, and professional activities):

n/a

2.1.2. Summaries of current research activities including work with MS thesis and PhD students (including names of coworkers):

Ecological forecasting/Cybercommons/GroWE - Walter Dodds, Dave Steward, Steve Welch, Eric Bernard, Tom Bulatewicz, Laszlo Kulcasar, Joe Aistrup, Jeff Peterson - We are part of a loosely- coupled core team attacking large-scale ecological modeling. We have had a proposal funded (EPSCOR Ecoforecasting grant, $6.75M and CNH $1.5M). As the primary "big iron" researcher, this has pushed me to greater cooperation with Rick McMullen (UArk), Henry Neeman (OU), Greg Monaco (KSU/GPN), and David Swanson (UNL) to discuss regional supercomputing alliances. This effort has also paid in part for Adam Tygart's services during the past year, and contributed over $100K to expand BeoCat's core capabilities.

Medical device frameworks - John Hatcliff, Robby, Vasserman, Gurdip Singh, , Cerner, FDA - Our group has gotten two awards from the NSF (SIR - $55K, CPS - $840K), and is working with UPenn, the FDA, and Cerner to architect the next generation of robust, networked medical devices. We had a multiple publications this year based on this work. This has also funded Carlos Salazar and Jayson Sharp.

Smart Grid electrical power management - Anil Pahwa, Bala Natarajan, Sanjoy Das, Noel Schultz, Simon Ou, Gurdip Singh, Scott DeLoach - we have just been funded by the NSF to develop systems and tools for smart grid power management on the Internet. I have worked with Denise Case on designing the agent-based simulation system for scalability in large test cases.

Genomics/bioinformatics - Doina Caragea, Sue Brown, Steve Welch - We are working with genetics- oriented researchers on campus and their students (inc. Paul Cain, Karthik K., Ana S., Pavin P.) to develop new models for identifying genome phylogenetics in a highly-parallel way on large data flows (potentially petabyte-scale).

Parallel computing/HPC Education - I have been working with Scott Bell and Russ Feldhausen to develop Scratch-based tools for introducing students (both K-12 and college). We had posters at Supercomputing'13, Oklahoma Supercomputing Expo, and the ASEE regional conferences, where our efforts were very enthusiastically received. We have published a paper to the education track at XSEDE'14.

Distributed scheduling for mobile network - Hao Qian (Ph.D. student) and I have been developing a system for ad-hoc mobile devices to offload computation to each other in a way that balances energy conservation, wireless transmission time, and overall performance. We have implemented a prototype, published two papers, and are submitting extensions of our work to various IEEE and ACM conferences.

Dynamic DMZ – C. Scoglio, D. Gruenbacher – we are working on developing dynamic security architectures offering the best of fully-firewalled/DPI security combined with high performance for elephant traffic flows. We have submitted one paper already, and are working on the second.

2.1.3. My ideas which have been used and/or extended by others:

2.2. Published research

Publications categorized as follows:

2.2.1. In preparation (include publication type and destination):

Hao Qian and I are working on two submissions, one dealing with the automatic profiling of mobile applications, and a cloud-based scientific workflow system, both intended for publication to the 14th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2015).

The Sunflower Networking Group and I are working on the next stage of the Dynamic DMZ, including contention detection, full-speed evaluations, and sampling algorithms.

2.2.2. Submitted (indicate if in revision):

H. Qian, D. Andresen, “Reducing Mobile Device Energy Consumption with Computation Offloading," submitted to The ACM 13th International Conference on Mobile Systems (MobiSys’15).

H. Wu, X. Li, C. Scoglio, D. Gruenbacher, D. Andresen, “Size-based Flow Management Prototype for Dynamic DMZ,' submitted to the 2015 / 11th International Conference on Design of Reliable Communication Networks (DRCN 2015).

H. Qian, D. Andresen, “Extending Mobile Device’s Battery Life by Offloading Computation to Cloud," submitted to the 2nd ACM International Conference on Mobile Software Engineering and Systems (MobileSoft’15).

R. Bell, R. Feldhausen, D. Andresen, “Learning Parallel Computing using Scratch”, submitted to CDER (book chapter).

2.2.3. Accepted for publication:

H. Qian, D. Andresen, “Jade: an efficient energy-aware distributed computational offoading system with heterogeneous network interface bonding for ad-hoc networked mobile devices," to appear in The International Journal of Networked and Distributed Computing, 2015. Invited paper.

Z. Throneburg, D. Andresen, “Analyzing the Impacts of Resource Request Accuracy on Overall System Utilization in Supercomputing Cluster Environments", poster session, Great Plains Network (GPN) Annual Meeting, Kansas City, MO, May 30-June 1, 2014.2.2.4. Published (quality indicator such as acceptance percentage included where

available):

1. H. Qian, D. Andresen, “Jade: an efficient energy-aware computational offloading system with heterogeneous network interface bonding for ad-hoc networked mobile devices," in the Proceedings of the 15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2014), Las Vegas, NV, June 30 - July 2, 2014.

2. R. Feldhausen, S. Bell, and D. Andresen, “Minimum Time, Maximum Effect: Introducing Parallel Computing in CS0 and STEM Outreach Activities Using Scratch," in the Proceedings of the Extreme Science and Engineering Discovery Environment 2014 (XSEDE14), in cooperation with ACM SIGAPP, Atlanta, GA, July 13-18, 2014. Acceptance rate: 67%.

3. T. Bulatewicz, D. Andresen, “Accessible Parallelization for the Open Modeling Interface," in the Proceedings of the Extreme Science and Engineering Discovery Environment 2014 (XSEDE14), in cooperation with ACM SIGAPP, Atlanta, GA, July 13-18, 2014. Acceptance rate: 67%.

4. S. Bell, E. Vasserman, D. Andresen, “Developing and Assessing a Multi-Factor Authentication Protocol for Revocable Distributed Storage in a Mobile Wireless Network," in the Proceedings of the 2014 International Conference on Security and Management (SAM'14), Las Vegas, NV, July 21-24, 2014. Acceptance rate: 23%.

5. R. Raghavan, Daniel Neises, Doug A. Goodin, D. Andresen, R. Ganta, “Bayesian Spatio-Temporal Analysis and Geospatial Risk Factors of Human Monocytic Ehrlichiosis. in PLoS ONE 01/2014 9(7):e100850, 2014. Impact Factor: 3.54.

6. T. Bulatewicz, D. Andresen, S. Auvenshine, J. Peterson, D. R. Steward, “A distributed data component for the Open Modeling Interface," in Environmental Modelling & Software, January, 2014. Impact factor: 3.48.

7. H. Wu, X. Li, C. Scoglio, D. Gruenbacher, D. Andresen, “Size-based Flow Management Enabling Dynamic DMZ," Poster presentation and demo, GENI Engineering Conference 21 (GEC21), Bloomington, IN, October 20-23, 2014.

8. H. Qian, D. Andresen, “Jade: an efficient energy-aware computational offloading system with heterogeneous network interface bonding for ad-hoc networked mobile devices," poster session, Great Plains Network (GPN) Annual Meeting, Kansas City, MO, May 30-June 1, 2014.2.2.5. Technical reports:

n/a

2.3. Generation of program support

2.3.1. Details about grants currently funded, pending, or being prepared:

Funded:

1. PI, NSF (Award no. ACI-1440548, 9/14-8/16), “CC-IIE Networking Infrastructure: Next- generation networking environments for biological and agricultural data-driven research at Kansas State University,” $231,500 September, 2014.

2. PI, NSF (Award no. CNS-1429316, 9/14-9/17), “MRI:Acquisition of an Adaptive Data Cluster for Data-intensive Applications in Science and Engineering,” $300,000 August, 2014.

3. Senior Person, (EPSCoR Track I, KU, KSU, UNL, Award no. IIA-1430493, 8/14-8/17), “Col- laborative Research: Imaging and Controlling Ultrafast Dynamics and Atoms, Molecules, and Nanostructures,” $6M total August, 2014.

4. PI, NSF (Award no. ACI-1341026, 11/13-10/16), “CC-NIE Network Infrastructure: KGAP: Bridg- ing the gap in network flexibility and performance for genomics and data-intensive research at Kansas State University,” $499,113 September, 2013.

5. co-PI, NSF (Award no. CNS-1224007, 9/12-8/15), “TWC TTP: Small: Security, Privacy, and Trust for Systems of Coordinating Medical Devices,” $482,125 August, 2012.

6. co-PI, NSF (Award no. DUE-1241721, 8/12-8/15, co-PI since 5/14), “Building the National Cyber Workforce: New SFS Program at Kansas State University,” $851,328 August, 2012.

7. co-PI, Dept. of Health and Human Services (9/11-8/14), “Development of a Prototype Healthcare Intranet for Improved Health Outcomes,” $375,000 September, 2011.

8. PI, NSF MRI (Award no. 1126709, 9/11-8/14), “MRI: Acquisition of a Hybrid GPU Computing Cluster High-End Applications in Science and Engineering,” $700,000 September, 2011.

9. Senior Person, NSF CPS (Award no. CNS-1136040, ’11-’15), “Components, Run-time Substrates, and Systems: Medium: Holonic Multi-Agent Control of Intelligent Power Distribution Systems,” $1.1M September, 2011.

10. co-PI, NSF GK12 (Award no. 0948019, 3/10-3/15, co-PI since 8/13), “Infusing System Design and Sensor Technology in Education (INSIGHT),” $2.2M March, 2010.

In preparation –

D. Goodin, S. Hutchinson, B. McCornack, and I are planning a submission to the geospatial intelligence BAA from the DoD National Geospatial Intelligence Agency.

I also plan to submit to the NSF CC-NIE/DIE program for networking support, and have an NSF MRI proposal ready to go for the upcoming round.

2.3.2. Research infrastructure development:

20052006

20072008

20092010

20122013

20140

500

1000

1500

2000

2500

3000Beocat Cores

20032007201020112012201320140

100

200

300

400

500

600

700

800Beocat users

As you can see from the graphs above, Beocat continues to grow as a crucial piece of the KSU research infrastructure. This year key additions included hiring Dr. David Turner, contributions from multiple departments to add to our capilities, and a new NSF MRI which will allow us to add 2.1PB of distributed storage and over 1K cores.

Our CC-IIE and CC-NIE grants have allowed ITS to install 10GbE networking to most research-heavy buildings on campus, and purchase dual 40-GbE enterprise routers to upgrade the campus core networks in early ’15. We continually work with them to insure research needs are met by the campus cyberinfrastructure.

Overall we processed 1M+ jobs and 2M+ CPU hours over the course of the year with 97.5% uptime, supporting 135+ faculty which generate approximately 12% of the university’s annual research expenditures (up to 27% for individual colleges).

2.3.3. Other information pertinent to Program/Department/University Research Support:

The Beocat team’s YouTube video offering an introduction to MPI has been viewed over 2,500 times after being recorded in our Beocat tutorial held on campus in the spring (which maxed out our capacity in Nichols 126).

We have contributed to the openDCIM, SGE, and Ansible open source projects.

Adam Tygart was an invited speaker to the TX-LEARN conference on SDN in fall ’14.

Dave Turner helped teach the “Introduction to Bioinformatics using Beocat” course this summer, co-listed with Biology and CIS.

2.4. Student Support

List each student and their major for each category below. Date is the student’s date of graduation (actual or estimated). Role refers to your role in directing the student’s work (e.g., major advisor, project supervisor, etc.). Funded is from grants only; identify which grant and semesters supported. Title refers to the student’s project, report, thesis, or dissertation title; project titles, if applicable, should be annotated under the Funded column.

2.4.1. Undergraduate projects completed under my direction:

Student Name Major Date Title Funded

Devon Peel CIS F’14 HPC Admin Tool: Linux Update Manager

Zach Bolin CIS Sp’14 Electronic Signatures - Commerce Bank

Adam Liebl CIS Sp’14 Electronic Signatures - Commerce Bank

2.4.2. Undergraduate students working on projects under my direction:

Student Name Major Role Date Title Funded

2.4.3. MS/MSE reports/projects/theses completed under my direction:

Student Name Major Date Title Funded

Priyanka Masuram

Akash Suryawanshi

Sai Bharath Goda

CS

CS

CS

5/16

8/15

8/15

Android Application to track shopping information

SOS – an Android application for emergencies

Recommender system for recipes

2.4.4. MS/MSE students currently under my direction:

Student Name Major Role Date Title Funded

Wang, Wenbo

CS TBD

Bandyopadhyay, Tania

CS Android Soybean yield projection app

Pulipaka, Mohana Saketh

CS Big data analytics

Garlapati, Deepti Reddy

CS Android inventory app

Reid, Bruce Eugene

MSE TBD

Wyss, Keith MSE Security for devops

Lastrapes, James Michael

MSE TBD

2.4.5. MS/MSE supervisory committees on which I serve/served:

Student Name Main Advisor

Stephen, Nisha

Van Nevel, Eric A

Shirk, Jeremiah J

Pinninti, Ashish

Bajpai, Ankit

Sharan, Smita

Mccollum, James

Bradley, Ryan

Baruth, Tristan P

Kong, Quan

Sweeney, Brian

Dye, Brian Michael

Atchuta, Kaushik

Addanki, Nikhita

Bhat, Ashwin

McVey, Keith

Sharp, Jayson

Rudraraju, Tejitha

Jagithyala, Anirudh

Cannon, George

2.4.6. PhD students currently under my direction:

Student Name Major Title Funded

Hao Qian CS Mobile application offloading for energy efficiency and scalability

2.4.7. PhD supervisory committees on which I serve/served:

Student Name Main Advisor

Pranshu Gupta

Loai Zomlot

Huang Zhu

Richard Bell

Josh Weese

Su Zhang

Rohit Parimi

Ana Stanescu

Nic Herndon

Denise Case

Gustafson

Ou

Singh

Vasserman

Caragea

Ou

Caragea

Caragea

Caragea

Deloach

2.4.8. PhD dissertations completed under my direction:

Student Name Date Title

2.4.9. Other information pertinent to Student Support:

2.5. Other

2.5.1. Presentations (include places, audiences - e.g., industry, professional meeting, university, conference, etc. - and subjects):

HPCWire Sound Byte subject, Podcast: The Big Data Challenges of Unmanned Systems Research," by Nicole Hemsworth, http://www.hpcwire.com/soundbite/big-data-challenges-unmanned-systems-research, February 11, 2014.

KSU news release and K-State Today, mentioned in article “Research prevents zoonotic feline tularemia by finding influential geospatial factors," Manhattan, KS, February 19, 2014.

Panelist, ASEE ERC Council Annual Meeting Results Review, Kansas State University, Manhattan, KS, April 25, 2014.

Invited speaker, "Big Data", KCALSI Translational Medicine Meeting, Kansas State University, Manhattan, KS, April 28, 2014.

Invited speaker, "Big Data at Different Scales", Manhattan Knowledge Based Economic Development Big Data Event, Kansas State University, Manhattan, KS, April 28, 2014.

Panelist, “Challenges encountered within the campus infrastructure environment", NSF CC-NIE PI Workshop, Arlington, VA, April 30, 2014.

K-State Today, quoted in article “Beocat extends reign as largest academic supercomputer in Kansas," Kansas State University, May 19, 2014.

Speaker, “Big Data from an HPC Perspective," Big Data Summit II, in conjunction with the Great Plains Network Annual Meeting, Kansas City, MO, May 28, 2014.

Speaker (two sessions), “Introduction to Supercomputing: Working Together," KSU GROWE, Manhattan, KS, June 18 2014.

K-State Today, topic in article “Andresen named to national supercomputing leadership team," Kansas State University, September 15, 2014.

Invited speaker, “Minimum Time, Maximum Effect: Introducing Parallel Computing in CS0 and STEM Outreach Activities Using Scratch," Missouri University of Science and Technology RTD Days, Rolla, MO, September 16, 2014.

Panelist, “Computational Cyberinfrastructure: Future Directions," Missouri University of Science and Technology RTD Days, Rolla, MO, September 16, 2014.

Invited speaker, “Minimum Time, Maximum Effect: Introducing Parallel Computing in CS0 and STEM Outreach Activities Using Scratch," Oklahoma Supercomputing Exposition, Norman, OK, September 24, 2014.

Invited speaker, “Accessible Parallelization for the Open Modeling Interface (OpenMI)," XSEDE Workflow Symposium, September 26, 2014.

K-State Today, topic in article “Computing and information sciences professor receives National Science Foundation grant," Kansas State University, September 26, 2014.

Invited speaker, “Minimum Time, Maximum effect: Introducing Parallel Computing in CS0 and STEM Outreach Activities Using Scratch," Holland Computing Center, Lincoln, NE September 30, 2014.

K-State Today, mentioned in article “Student teams tackle computer programming problems for prizes," Kansas State University, October 27, 2014.

2.5.2. Other information pertinent to research:

3. SERVICE

3.1. University promotion and support

3.1.1. Recruiting visits, visits to secondary/other schools:

University of Nebraska, Lincoln, September 30, 2014.

3.1.2. College and university committees on which I've served:

K-State Online Advisory board Women in Engineering and Science Program (WESP) Faculty Advisory

Board GIS Commons Steering Committee

3.1.3. Other college or university activities including service to other persons or departments on campus:

Too many to list (Beocat supports over 125 faculty), as part of my research computing responsibilities. Many contacts and discussions with other researchers on campus and in the region. Beocat has been listed as part of the research facilities in many grants that I am aware of that have been submitted or are in preparation.

XSEDE Campus Champion

3.1.4. Other activities related to university promotion and support:

The Beocat group has given tours to approximately 1,500 people since last summer, including hundreds of middle schoolers in the USD383 Starbase program (see pictures below), as well as the GROW/EXCITE programs. It is also a standard part of tours for prospective faculty, students (and their parents), and visiting researchers.

Starbase participants in the Beocat server room

5-6 grade girls in GROW

Note from STEM folks.

3.2. Departmental committees and activities

3.2.1. Departmental committees on which I've served:

• CIS Computer Infrastructure Committee (chair 2001-present) 1997-present• College of Engineering Computer Needs Committee 1998-2003• CIS Undergraduate Curriculum Committee 1998-2014• CIS Undergraduate Recruitment Committee 2014-present

3.2.2. Other departmental activities such as extra administrative duties or recruiting:

3.3. Professional service

3.3.1. Societies of which I'm a member:

ACM, 1997-present ACM SIGCOMM, 1997-present ACM SIGARCH, 1997-present ACM SIGHPC, 2012 - present IEEE/CS, 1998-present National Computing Grid Forum, 1999-present IEEE Task Force on Cluster Computing, 1999-present IEEE Communications Society, 2005-present Electronic Frontier Foundation (EFF), 1999-present American Society for Engineering Education, 2000-present USENIX, 2000-present IASTED, 2003-present Heartland Renewable Energy Society, 2005-present

EDUCAUSE Advanced Core Technologies Initiative (ACTI) Campus Cyberinfrastructure Group, 2011-present

3.3.2. Society and conference committees which I've chaired or on which I've served:

XSEDE Campus Champions National Leadership Team (1 of 6 team members total)

Program committee, The Fourth International Conference on Advanced Communications and Computation (INFOCOMP 2014), Paris, France, July 20 - 24, 2014.

Program Committee member, GPN Annual Meeting, Kansas City, MO, May 30-June 1, 2014.

Program Committee member, INFOCOMP 2015, The Fifth International Conference on Advanced Communications and Computation, Brussels, Belgium, June 21-16, 2015.

3.3.3. Journals, conferences, and granting agencies (including numbers of articles) for which I've refereed:

Journal of Supercomputing (2) BMIC’14, INFOCOMP’14, XSEDE’14 (19), IMCIC’14 NIH onsite review panel, October, 2014

3.3.4. Other information pertinent to Profession Support:

- testified for Kansas Legislature Vision 2020 committee on HPC (1/14)

4. OTHERAdditional information not falling under one of the above categories:

This is my third year at 50% commitment as director for research computing on campus, and my roles and responsibilities continue to evolve. Reporting on these types of activities is diffcult, since they frequently overlap.

I have continued the increased emphasis in CIS450 on modern, multi-core/multithreaded architectures, and 526 is shaping up to give students great skills in today's cloud-oriented environment. More grant proposals were written and funded, and my interaction with other departments and universities is expanding rapidly.

Seeing Beocat continue to be a viable, valuable resource has just been fun. It has also been the impetus to become more heavily involved with my research computing counterparts in the region - Greg Monaco (GPN), Henry Neeman (OU), Amy Apon (Clemson), David Swanson (UNL), Rick McMullen (UArk) - which has been great for general networking, but also eased things like our recent $6M EPSCoR RII Track II grant proposal, where David and

I worked together to make sure the physicists had what they need. We have a weekly teleconference on Fridays to discuss cyberinfrastructure efforts. Beocat is also seeing more use across campus, and, its MRI was funded as well.

As the XSEDE Campus Champion, I plan to continue helping KSU researchers use HPC effectively. As a member of the XSEDE Campus Champion National Leadership Team, I help set the strategic directions for over 250 campus champions in 150 institutions.

Cyberinfrastructure continues to be a major emphasis. I am a member of the HPC panel writing a report to Kansas Legislature's "Vision 2020" subcommittee recommending a core HPC capability for the state of Kansas. I am also the K-State representative to the GPN Cyberinfrastructure committee.

I continue to be pleased with the enthusiasm of students regarding our local ACM chapter. We seem to average 20-30 students per meeting (with more at our LAN parties), and many seem willing to be involved in contributing to the department and society. This year our initial meeting completely overflowed Nichols 126, and we added six new junior officers. We sent three teams to the regional ACM programming contest in Lincoln, and had a vanload of happy students afterwords. The local contests have been a resounding success, with great outside sponsorships as well as student participation.

I have tried to make the above information accurately describe my contributions as a faculty member during the past year.

Date Signature (to be added after printing)

K-State 2025

In general, the numbers should be directly supported by the faculty evaluation report. If there are any that were not obvious in the evaluation report, please provide details below the table. If you are unsure who the main PI for a project is, please consult with your co-PIs to ensure the numbers are only reported once. Likewise, if you are unsure who is the major professor a graduate student, please consult with other faculty to ensure the numbers are only reported once. This table will be used solely to report on CIS K-State 2025 metrics.

Details Metric Number

These numbers should only be

reported by main CIS PI for each

project.

Number of projects including industrial partners

Number of projects funded by industry

Number of multidisciplinary projects 5

Number of technology transfer activities

These numbers should be reported

per faculty member.

Number of refereed publications 8

Number of on-campus faculty awards

Number of national/international faculty awards

Number of fellowships currently held

Number of conference committees memberships 4

Number of meeting/event organization activities 3

Number of visits to industry/national labs

Number of media recognitions (new releases, interviews, etc.)

These numbers should be reported

by the major professor of the

graduate student only.

Number of visits by graduate students to industry and academic partners

Number of graduate research internships

Number of MS/MSE students attending conferences/workshops

Number of MS/MSE students authoring refereed papers 1

Number of PhD students (co-)authoring refereed papers 3

Number of PhD students attending conferences/workshops 3

Number of funded undergraduate research students

Additional Details: