Department of Electrical Communication EngineeringandDepartment of Electronic Systems EngineeringIndian Institute of Science, Bengaluru

portfolio ofprototype systems and tools developed

Wi-Fi

MOBILITYMANAGEMENT

INTERNETTHINGS

OF

ADWISERa centralized performance management controller

SeaMo+seamless mobilitymanagement over heterogeneousaccess networks

AMBULETa patient telemetry system

SmartConnectnetwork design toolsfor WSNs

6PANviewnetwork monitoringfor 6LoWPAN WSNs

CyPhyS+remote health monitoring for old-age homes

ADWISER is a centralised performance management system for heterogeneous enterprise networks comprising of an Ethernet LAN, a WiFi, and an Internet access link. Such networks are now common in enterprises, campuses and homes, and carry the traffic generated by variety of end-user applications, with each application imposing its own performance requirements. ADWISER has been developed on off-the-self hardware, as a user application over the Linux OS.

ADWISER A Centralised Approach for WLAN Performance Management

ADWISER approach• Follows a centralised Split-MAC type ar-

chitecture and works with existing WLAN infrastructure without requiring any changes to the APs

• All the traffic between the wireline and wireless networks is made pass through it

• Virtual servers and queues in ADWISER re-sult in queuing at the Internet link and the Wi-Fi medium occurring within ADWISER

• Employs a coarse-grained time-sliced scheduling mechanism (CTSM)

• Dynamic AP-STA link dependencies are considered while managing multiple APs

• Works in conjunction with an HTTP proxy to mitigate the effect of CTSM on WAN-WLAN TCP traffic

a typical enterprise network, showing the placement of ADWISER

Wi-Fi

ADWISER software architecture

multi-AP performanceThe channel sharing mechanism employed in DCF is CSMA/CA, in which a device listens for a clear channel before attempting to trans-mit. This technique does not work if the two transmitters cannot hear each other but their receivers are each in the range of the other’s transmitter. This is called the hidden node prob-lem. This problem causes poor TCP download throughputs and stalling of video streaming at STA 2 and STA 3 in the accompanying diagram.

all the STAs are doing a bulk file download from a server on the LAN

measured throughput of all the STAs in unmanaged mode and ADWISER managed mode

performance management module

ADWISER feature suite

• Jointly manages Internet access link bandwidth and the WiFi wireless medium

• Enforces unified policies across the enterprise• Provides differential QoS guarantees to different

user profiles• Enhances power saving on hand-held devices• Addresses WLAN multi-rate unfairness• Addresses hidden and exposed node problems

channel allocation and client-AP allocation

ADWISER web-portal

• Efficient channel allocation• Efficient station association

• Web-based ADWISER configuration• Online time series statistics display

physical testbed experimentThe layout of an actual experiment, along with the structure of the building, is shown in the figure. There are four STAs associated with two co-channel APs. The dashed lines indicate STA-AP associations, while the dotted red lines indicate STA-AP interference. In the experiment, each of the STAs is downloading a large file from a server on LAN.

In the managed mode, ADWISER serves packets using a time-sliced fair queuing scheduler. Sets of inde-pendent links are activated in a time slice, whereas dependent links are scheduled in non-overlapping time slices. As a result during the periods 100-200 seconds and 300-400 seconds, STA1 and STA4 obtain throughputs of 11Mbps each, and STA2 and STA3 obtain 5.5 Mbps each. In addition, we see that, due to the independent link scheduling, the throughputs are quite flat over time. Further, the aggregate throughput increases to about 32 Mbps from 20 Mbps obtained in the unmanaged mode. This certainly is a remarkable improvement over the un-managed situation, all being achieved with no changes to the APs or the STAs.

A sample of results is shown in the plots of throughputs versus time. During the intervals 0-100 seconds and 200-300 seconds, the network is in unmanaged mode (without ADWISER) and the TCP throughputs obtained indicate the behaviour of the default IEEE 802.11 DCF. STA2 and STA3 get very low throughput because these are the links “in-the-middle” (exposed nodes). Also, STA1 and STA4 obtain highly variable throughput, even though they are independent of each other.

SeaMo+A Real Time Remote Patient Monitoring for Mobile Doctors

Remote health care monitoring applications involve communication of voice, video or health care information between a hospital and remote patient locations. End devices such as tablets and smartphones, enable medical professionals to get vital medical information of patients con-tinuously in real-time, and also facilitate doctors to interact with their patients through video/voice, even whilst mobile. In this scenario, one of the major technological challenges faced is to ensure that the doctors are always connected to the best possible network from Wi-Fi, 3G or 4G.

architecture

• SeaMo+ follows a 3-stage modular architecture • Pre-handoff module : Uses network connection manager APIs for obtaining online network information• Network handover decision module : Fuzzy logic based multi-parameter decision algorithm is used to trigger

hand-off• Post-handoff : Manages the seamless session continuity based on our proposed VRMS IP mobility framework

mobilitymanagement

• VRMS is a light-weight application layer service which offers seamless session continuity to end user applications• A client application CApp initiates a session with a remote server CApp through the VRMS, which provides the

virtual application server module, VSA• The VSA initiates the connection to SApp and manages the session with SApp when the device is mobile

VRMS: IP mobility framework

features• Provides uninterrupted and continuous access to real-time patient vital information and enables video/voice

interaction between doctor and patient in a heterogeneous wireless network environment• Supported applications include remote desktop sharing, video streaming and live image streaming• Enhance the data availability through redundancy to cover failures and also for load balancing

available on

AMBULETA Patient Telemetry System (Care beyond ICU. Enabling Care Everywhere)

architecture

• The Network Quality Assessment module gathers the RSSI values and the Bandwidth of the all the available networks• The Network Handover Algorithm takes all the parameters and determines the best network among the available ones• The VRMS module uses the network suggested by Network Handover Algorithm to transmit the data to the doctor

mobilitymanagement

AMBULET is a patient telemetry system intended to communicate voice, video and vital healthcare information of the patient from the ambulance to the doctor in case of an emergency. AMBULET Hub is a device which essentially will have the facility to acquire, store and transmit vital parameters of a patient in remote location (Home or Ambulance). The AMBULET Hub, which is currently under development, is a multi 3G/4G/WiFi network access device for seamless and high performance mobile network access. The AMBULET hub employs an enhanced version of an indigenously developed seamless IP mobility management architecture SeaMo+.

the mobile source scenario (ambulance)

the AMBULET sender the AMBULET receiver

• The mobile sender side has the VRMS implementation.• The application programs on the sender side connect to

AMBULET for their services.• AMBULET connects to all available cellular provider net-

works, SP1, SP2,… and sends the data on the networks with the required link quality. Data replication is used for certain applications that require real-time and reliable data delivery.

• The received data from the AMBULET sender is pro-cessed at the receiver side of AMBULET running on receiving host.

• The AMBULET receiver processes incoming data and en-sures in-sequence, duplicate free delivery of data to the end application separate buffer space and packet time-out are maintained based on application requirements.

features• Provides seamless application session continuity across multiple 3G/4G mobile access networks using Virtual

Real-time Multimedia Service Framework (VRMS)• Ensures highly reliable and timely delivery of patient vital medial information in real-time• Judicious use of multiple service provider networks to support real-time multimedia applications along with time

critical and reliable delivery of medical vitals• Supports MJPEG, MPEG4, SIP VoIP calls, remote desktop sharing• Built-in GPS feature to track the ambulance and make intelligent choice of the network for enhanced performance

field testsExtensive experimentation was done to evaluate AMBULET. The figure below shows the outcome of one such exper-iments conducted in and around IISc Campus. The location where AMBULET switches from one provider to another provider are marked on the map. The above diagram illustrates the network handovers that have taken place between Wi-Fi (Yellow), Airtel (Red), BSNL (Green) and TATA DOCOMO (Blue).

SmartConnectNetwork Deployment for the Internet of Things

SmartConnect is a network design and deployment tool for connecting sensors to a control centre by means of a multi-hop wireless relay network, thereby to realise the edge networks for the Internet of Things. Given the location of the sensors, the traffic that each sensor generates, the QoS requirements, and the potential locations at which the relays can be placed, SmartConnect provides a methodology for designing and deploying a low cost wireless relay network. Planned deployment of wireless sensor networks (WSNs) may not always be possible, especially when the deployment terrain is large. SmartConnect can be used to design network for planned and as-you-go deployment scenarios.

• SmartConnect comprises the nodes deployed on the field, the BS that interconnects the wireless relay network with the control LAN, and the SmartConnect console. The network designer uses the SmartConnect backend remotely over the 6LoWPAN based WSN.

• A JAVA based GUI provides an interface to design and monitor the network, and also a command interface to interconnect deployed motes.

• SmartConnect mote implementation is on Contiki 6LoWPAN/RPL protocol stack

architecture

features• Network design over the Internet• Supports 6LoWPAN WSN• At any stage in the iterative

design the user can intuitively modify the relay augmentation suggestion of the algorithm

• Allows multiple deployment strategies

• Available on mote platforms running Contiki RPL protocol stack

internet of

things

design approach planned deploymentThe network designs are based on approximation algorithms or heuristics for various Steiner graph design problems. Using these algorithms in its backend, SmartConnect provides two design meth-odologies: one-shot approach that requires field measurements of all potential links, and a second iterative approach that works with measurement based models and fields measurements.

as-you-go deploymentThe deployment algorithms optimise the energy expenditure in the network subject to constraints on QoS and the number of relays placed in the terrain. We developed powerful algorithms for impromptu deployment along a line which could effectively model a forest trail or a road.

• We start from the sink node, and explore the terrain (e.g. a forest trail), in multiples of a chosen distance (e.g. 50 meters)

• At each such location we must decide whether to place a relay or not• If a relay (or the sink) is placed at a location, then measure the link quality from the next K (a parameter) locations to this

“previous” node, using a range of power levels at each of the K candidate locations• We provide an algorithm that uses these measurements to place the next node• The process is repeated until the source location is discovered

It consists of USB GPS receiver (SiRF STAR III chipset), a ZigBee Mote and a handheld Device (a netbook running fedora 12 distribution).

Network Design Approach

deployment platform

deployment process

6PANviewA Network Monitoring System for 6LoWPAN IoT

6PANview is an SNMP based network monitoring system that enables one to monitor and manage a remotely deployed 6LoWPAN based WSN on the Internet, ensuring proper functioning, improved performance and lifetime of the WSN. 6PANview has been released as an open source software and is being used in several ongoing WSN projects undertaken by our lab.

features• Light-weight SNMP agent on the motes• Application performance conscious network

monitoring activity• Supported on Contiki and TinyOS 6LoWPAN/

RPL, stack implementations• Monitored parameters : Battery voltage, link

and network traffic counters, link performance (ETX), RPL routing information

• Provides integrated and intuitive graphical interface for the administrator

• Data logging and time series plots using RRD-tool

• 6PANview can be downloaded from url:

http://sourceforge.net/projects/sixpanview

big picture

internet of

things

mote platforms supportedTelosB, iWiSe (C-DAC, Trivandrum), IRIS, Wismote, IIT-H (IIT, Hyderabad), We-Doc (DESE, IISc)

implementation• Java based admin Console: Configuration & Statistics Display• PAN Server: Application conscious monitoring activity scheduling, Statistics Collection in DB• Light weight SNMP agent with a flash program memory of 4KB• RRDTool: Web based online time series plots and reports

SNMP before code optimisation SNMP after code optimisation

6PANview GUIComes with features such as online time series graphs and reports for various monitored variables, including node battery voltage level, link and network layer packet counts, link quality (ETX), node network activity, path information and network connectivity.

6PANview embedded environment

CyPhyS+Remote Health Monitoring for Old-age Homes

CyPhys+ is a Cyber Physical System for the elderly in old-age homes that provides remote monitoring of their vital health parameters from a wearable device over the Internet. CyPhys+ enables early detection of a possible health problems by informing remotely located doctor in real time.

big picture

features• Remote access to all the wearable device over the Internet• Vital medical information in real-time, data analysis and annotations• Reliable data delivery over low power lossy wireless networks using LinkPeek• Secure communication• User friendly and intuitive web interface• Restful architecture and Network monitoring using 6PANview+• IPv6 , 6Lowpan, SNMP, HL7,IEEE 11073, AMSA

platforms used (SW & HW)• MSP430F5438A running Contiki performs control logic required

for peripheral device operation and gateway functionality• Data from medical sensors and on board sensors is sent over

6LoWPAN WSN to the backend internet infrastructure• Battery backup up to 24 hours of continuous operation• Inbuilt voltage regulator and protection circuit• MATLAB, GNU Octave, Bluetooth 4.0, 6lowpan, Contiki Django,

We-Doc: WBAN Gateway

internet of

things

implementation highlights• We-Doc: WBAN Gateway - MSP 430F5438A, BLE 4.0, CC2520 Radio, 32 MB flash, RTC, JTAG/UART, Debug

interface and power management• Data Security-128 bit AES & CBC-MAC and Encryption, Decryption Authentication for secure message transfer;

Private Key/Symmetric Key distribution• LinkPeek a mechanism for high message reliability over low power and lossy wireless networks• Medical signal processing pre-processing, denoising, heart rate calculation, HL7 based annotations of the ECG

signal, and monitoring other vitals including blood pressure and dissolved oxygen (SpO2)• Django 1.6 based web frame works with MySQL database• Graphical implementation of patient’s medical data; dedicated recommendations column for users• 6PANview+ network implements light weight SNMP agent on the motes which is based on its predecessor

6PANview

frontend GUI

web display of patient’s vital information

publications

ADWISER• Manoj Panda and Anurag Kumar, “Cell-Level Modeling of 802.11 WLANs,” Ad Hoc Networks, vol 25, pages 84-101, 2015.• Malati Hegde, Pavan Kumar, K. R. Vasudev, N. N. Sowmya, S. V. R. Anand, Anurag Kumar, and Joy Kuri, “Experiences with a

Centralised Scheduling Approach for Performance Management of IEEE 802.11 Wireless LANs,” IEEE/ACM Transactions on Networking, vol. 20, no. 2, pages 648-662, April 2013.

• Pradeepa B. K. and Joy Kuri, “An Estimated Delay based Association Policy for Web Browsing in a Multirate WLAN”, in IEEE Transactions on Network and Service Management vol 9, no. 2, pp 346--358, September 2012.

• Pradeepa B. K. and Joy Kuri, “ Aggregate Download Throughput for TCP-controlled Long File Transfers in a WLAN with Mul-tiple STA-AP Association Rates”, in Performance Evaluation vol 69, pp 289-296, 2012.

• Sumankumar Panchal, S. V. R. Anand, and Malati Hegde, “Power Management in IEEE 802.11 WLAN using Proxy-Assisted WLAN Controller,” E6 WORKSHOP, COMSNETS-2012, January 2012.

• Vikram Ravindra, Aditya Prakash, S. V. R. Anand, and Malati Hegde ”Implementation of Throughput Enhancing Client-AP Association Scheme On a WLAN Controller,” Demo paper WISARD, COMSNETS-2012, January 2012.

• Manoj K. Panda and Anurag Kumar, ``State Dependent Attempt Rate Modeling of Single Cell IEEE 802.11 WLANs with Homo-geneous Nodes and Poisson Packet Arrivals,’’ Performance Evaluation (an Elsevier Journal), Vol. 69, 2012.

• K. Subhashini and Anurag Kumar, “Modeling the Effect of Transmission Errors on TCP Controlled Transfers over Infrastruc-ture 802.11 WLANs,” MSWIM ’11: 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Miami, Oct-Nov 2011.

• Pradeepa B. K. and Joy Kuri, “ Aggregate AP Throughputs for Long File Transfers in a WLAN controlled by Inhomogeneous TCP Connections”, in the Proceedings of the International Conference on Communications and Signal Processing, February 10-12, 2011, National Institute of Technology, Calicut.

• Pradeepa B. K. and Joy Kuri, “ Performance of an Access Point and a station considering TCP traffic in the presence of prop-agation delay”, in the Proceedings of the National Conference on Communications 2011 (NCC 2011), January 28-30, 2011, Indian Institute of Science, Bangalore, India.

• Sri Harsha, Anurag Kumar, and Vinod Sharma, ``An Analytical Model for Performance Evaluation of Multimedia Applications over EDCA in an IEEE 802.11e WLAN, ‘’Wireless Networks (a Springer Journal), vol. 16, issue 2, page 367, 2010.

• Malati Hegde, Pavan Kumar, K. R. Vasudev, S. V. R. Anand, Anurag Kumar, and Joy Kuri, “ADWISER: An Integrated Approach for Internet Access Bandwidth and Performance Management of an Enterprise Network,” WISARD, COMSNETS- 2010 Pro-ceedings.

• George Kuriakose, Sri Harsha, Anurag Kumar, and Vinod Sharma, “Analytical Models for Capacity Estimation of IEEE 802.11 WLANs using DCF for Internet Applications,” Wireless Networks (A Springer Journal), Vol. 15:2, pp. 259–277, February 2009.

• Malati Hegde, Pavan Kumar, K. R. Vasudev, S. V. R. Anand, Anurag Kumar, Joy Kuri, “Experiences with WM: A Centralised Scheduling Approach for Performance Management of IEEE 802.11 Wireless LANs,” Proceedings of WISARD 2009, Banga-lore, January 2009.

• Onkar Bhardwaj, G. V. V. Sharma, Manoj Panda, and Anurag Kumar, “Modeling Finite Buffer Effects on TCP Traffic over an IEEE 802.11 Infrastructure WLAN,” Computer Networks (an Elsevier Journal),Vol. 53, pages 2855-2869, 2009.

• Venkatesh Ramaiyan, Anurag Kumar, and Eitan Altman, “Fixed Point Analysis of Single Cell IEEE 802.11e WLANs: Unique-ness and Multistability,” IEEE/ACM Transactions on Networking, Vol. 16, No. 5, pp. 1080-1093, October 2008.

• Anurag Kumar, Eitan Altman, Daniele Miorandi, and Munish Goyal, “New Insights from a Fixed-Point Analysis of Single Cell IEEE 802.11 WLANs,” IEEE/ACM Transactions on Networking, Vol. 15, No. 3, pp. 588 - 601, June 2007.

• Malati Hegde, S. V. R. Anand, Anurag Kumar, and Joy Kuri, “WLAN Manager (WM) : a Device for Performance Management of a WLAN,” International Journal of Network Management, (a Wiley Interscience journal), vol. 17, pages 155-170, January 2007.

SmartConnect• Arpan Chattopadhyay, Avishek Ghosh, A. S. Rao, Bharat Dwivedi, S. V. R. Anand, Marceau Coupechoux and Anurag Kumar,

“Impromptu Deployment of Wireless Relay Networks: Experiences Along a Forest Trail,” accepted in IEEE International Con-ference on Mobile Ad hoc and Sensor Systems (MASS), 2014.

• Abhishek Sinha, Arpan Chattopadhyay, Naveen K. P., Marceau Coupechoux and Anurag Kumar, “Optimal Sequential Wireless Relay Placement on a Random Lattice Path,” Ad Hoc Networks Journal (Elsevier), volume 21, pages 1-17, October 2014.

• Avishek Ghosh, Arpan Chattopadhyay, Anish Arora, and Anurag Kumar, ``As-You-Go Deployment of a 2-Connected Wireless Relay Network for Sensor-Sink Interconnection,’’  presented in SPCOM 2014.

• Abhijit Bhattacharya, Akhila Rao, Naveen K. P., Nishanth P. P., S. V. R. Anand, and Anurag Kumar, “QoS Constrained Optimal Sink and Relay Placement in Planned Wireless Sensor Networks”, IEEE SPCOM 2014, Bangalore, India.

• Arpan Chattopadhyay, Marceau Coupechoux and Anurag Kumar, “Measurement Based Impromptu Deployment of a Multi-Hop Wireless Relay Network,” Proceedings of the 11th IEEE Intl. Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2013.

• Abhijit Bhattacharya, Sanjay Motilal Ladwa, Rachit Srivastava, Aniruddha Mallya, Akhila Rao, Deeksha G. Rao Sahib, S. V. R. Anand, and Anurag Kumar, “SmartConnect: A System for the Design and Deployment of Wireless Sensor Networks”, COMS-NETS 2013, Bangalore, India.

• Arpan Chattopadhyay, Abhishek Sinha, Marceau Coupechoux, and Anurag Kumar, ``Optimal Capacity Relay Node Placement in a Multi-hop Network on a Line,’’ presented in RAWNET 2012 (Resource Allocation in Wireless Networks), a workshop in WiOpt’12.

• Prasenjit Mondal, Naveen K. P., and Anurag Kumar, ``Optimal Deployment of Impromptu Wireless Sensor Networks,’’ present-ed in NCC 2012.

• Abhijit Bhattacharya and Anurag Kumar, “Delay constrained optimal relay placement in planned wireless sensor networks,” IEEE IWQoS 2010, Beijing, China.

6PANview

• Abhay Rao, Sutasom Bhaumik, Lohith Y. S., Brinda, M. C., S. V. R. Anand, and Malati Hegde, “6PANview: Application perfor-mance conscious network monitoring for 6LoWPAN based WSNs”, National Conference on Communications (NCC), 3-5 Feb. 2012, Kharagpur.

• Lohith Y. S., Brinda M. C., Nithin K. N., Sripada Kadambar, S. V. R. Anand, Malati Hegde, “6PANview: A network monitoring system for the Internet of Things”, WISARD, COMSNET-2011.

SeaMo+

• Baba Prasad G., Seema K., Shrikant U. H., Gopi Krishna Garge, S. V. R. Anand, and Malati Hegde ”SeaMo+: A Virtual Real-time Multimedia Service Framework on Handhelds to enable Remote Real-time Patient Monitoring for Mobile Doctors”, COMS-NETS 2013, Bangalore, India.

• Seema K., Gopi Krishna Garge, S. V. R. Anand, and Malati Hegde, “Seamo: A vertical handoff implementation for heteroge-neous wireless networks, in Advanced Networking”, Asia-Pacific Advanced Network-2011, vol. 32, pp. 79 90, Aug. 2011.

• M. Rafiq, Seema K., Nagaraj Kammar, Baba Prasad G., Gopi Krishan Garge, S. V. R. Anand, and Malati Hegde, “A vertical hand-off decision scheme for end -to-end QoS in heterogeneous networks: An implementation on a mobile ip testbed”, National Conference on Communications (NCC), pp. 15, Jan. 2011.

• Malati Hegde, S. V. R Anand, Gopi Krishna Garge, Seema K., Baba Prasad G., Mohammad Rafiq, Shrikant Hallur, “Method and System for Seamless Session Continuity of Real-time Multimedia Applications Across Heterogeneous Networks”, Indian Patent Application No.4787/CHE/2013 Filed on 23.10.2013.

• Anurag Kumar, S. V. R. Anand, Arun Augustine, Abhijit Bhattacharya, Rohan Krishnakumar, Sanjay Motilal Ladwa, Aniruddha Mallya, Shivanna Manjula, Akhila Suresh Rao, Deeksha G.Rao Sahib, Mohan Shyam, Rachit Srivastava, Senju Thomas Pan-icker, Lijo Thomas, and Jerry Daniel John, ``Method and System for Designing a Multi-Hop Wireless Sensor Network,’’ Indian Patent Application, December 2012.

• Abu Sajana R., Ramanathan Subramanian, P. Vijay Kumar, Syam Krishnan, Bharadwaj Amrutur, Jeena Sebastian, Malati Hegde, S. V. R. Anand, A Low-complexiy Algorithm for Intrusion Detection in a PIR-based Wireless Sensor Network, Indian patent filed in Dec-2010.

• Malati Hegde, Pavan Kumar, K. R. Vasudev, S. V. R. Anand, Arpita Agarwal, Sneha Aggarwal, Arpit Gupta, Sowmya N. Nam-bissan, Sumankumar Panchal, Anurag Kumar, Joy Kuri, “Methods and Apparatus for ADWISER: An Approach for Internet Access Bandwidth and WLAN Performance Management,” Indian Patent Application No. IP133482713/DEL/2009; filed 29.12.2010.

• Malati Hegde, Pavan Kumar, K. R. Vasudev, S. V. R. Anand, Anurag Kumar, and Joy Kuri,  “A Centralized Wireless Manager (WiM) for Performance Management Of IEEE 802.11 and a Method thereof,” Indian Patent Application No. IP106072898/DEL/2008; filed 19.12.2008; PCT Application No. PCT0921PCT/IN2009/000637; filed 12.11.2009.

patents (filed)

the teaminvestigators

Prof. Anurag KumarProf. Joy Kuri

Dr. Malati HegdeMr. Haresh Dagale

consultants

Mr. S V R Anand Mr. Gopi Krishna Garge

Abhay RaoAniruddha MalyaArpita Agarwal

Brinda MCJomo Thomas

Kumaresh S DhotradNidhi Madappa

Premkumar NoinaShrikant Hallur

Suhas NSurya Paruchuri

Vikram R

Aditya PrakashAni Rashmi Porwal

Baba Prasad GDeeksha G Rao Sahib

Kapil MathurLohith Y

Nishant SainiSathya Narsimman

Sneha AggarwalSumankumar PanchalSutasom Bhowmick

Yamuna PrakashAkhila S RaoArpit Gupta

Bharat DwivediEaswar VivekKavita Rane

M RafiqPavan Kumar

Seema KSowma Nambissan

SupreetVasudev KR

project staff (past & present)

students (PhD and Masters)

Abhijit BhattacharyaAnu Krishna

George KuriakoseOnkar Bhardwaj

Sri Harsha

Akash SharmaArpan Chattopadhyay

Manoj PandaPranav Agarwal

Subhashini K

Albert SunnyAvishek GhoshNikhil Vidhani

Rachit SrivastavaVenkatesh Ramaiyan

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