I am currently an Associate Professor in Computer science and Engineering, IIT Delhi. My research interests lie in building distributed, networked and privacy-aware systems, focused on problems at the boundary of information technology and society. I have built systems for Particulate Matter monitoring (dataset), road traffic monitoring, human mobility measurements, public policy audit and privacy enhancement in ubiquitous systems, among others.
I like to work on problems where I can apply inter-disciplinary CS techniques and the solutions might potentially have societal impact, especially in developing regions. I like the tension created by methods with conflicting requirements, when incorporated in the same system. E.g. some sensing task might give best results with high-dimensional deep learning based features extracted from the data. But if those features need to be securely transmitted to a remote server for privacy reasons, cryptography will pose a conflicting requirement for the plaintext message to be small, to minimize network bandwidth.
Building prototypes for real world problems also poses interesting trade-offs between performance vs. practical issues. Processing high definition (HD) videos at powerful GPU servers might give the best performance in road traffic monitoring. But the poor broadband infrastructure in developing countries might prohibit real time streaming of HD videos from the roads to the servers. In-situ processing might mandate using mobile and embedded platforms, but their processor and battery constraints can conflict with heavy computation and low latency requirements.
Sometimes trade-offs come from conflicting interests of different stake holders. Individuals might have their personal opinions on privacy, while retailers might want to profile all customers alike for targeted advertising and financial profits. Balancing such conflicts between CS techniques, or a CS method and a real world constraint, or among different stake holders in an application scenario, gets me excited.
[SENSYS26]"MIRO: Multi-radar Identity and Ranging for Occupational safety", Tirthankar Halder, Argha Sen, Swadhin Pradhan, Rijurekha Sen, Sandip Chakraborty, in ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems (Core A*)
[JCSS24] "FrugalLight: Symmetry-Aware Cyclic Heterogeneous Intersection Control using Deep Reinforcement Learning with Model Compression, Distillation and Domain Knowledge", Sachin Chauhan, Rijurekha Senin ACM Journal on Computing and Sustainable Societies (ACM Journal), presented in ACM COMPASS 2024 conference
[NeurIPS23] "Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling", Sachin Chauhan, Sayan Ranu, Rijurekha Sen, Zeel B. Patel, Nipun Batra in Proceedings of the 37th Conference on Advances in Neural Inforamtion Procesing Systems, (Datasets and Benchmarks Track) (Core A*)
[COMPASS22_1] "Complexity of Factor Analysis for Particulate Matter (PM) Data: A Measurement Based Case Study in Delhi-NCR", Ismi Abidi, Sagar Ravi Gaddam, Saswat Kumar Pujari, Chinmay Shirish Degwekar, Rijurekha Sen in Proceedings of ACM SIGCAS and SIGCHI Computing and Sustainable Societies (Core unranked)
[NeurIPS20] "EcoLight: Intersection Control in Developing Regions Under Extreme Budget and Network Constraints", Sachin Chauhan, Kashish Bansal, Rijurekha Sen in Proceedings of the 33rd Conference on Advances in Neural Inforamtion Procesing Systems (Core A*)
[ICTD19] "Embedded CNN based vehicle classification and counting in non-laned road traffic", Mayank Singh Chauhan, Arshdeep Singh, Mansi Khemka, Arneish Prateek, Rijurekha Senin Proceedings of the 11th International Conference on Information and Communication Technologies and Development (Core C)
[PLOS18] "World Wide Spatial Capital", Rijurekha Sen and Daniele Quercia in PLOS-ONE journal
[CCR17] "Inside the Walled Garden: Deconstructing Facebook’s Free Basics Program", Rijurekha Sen, Sohaib Ahmad, Amreesh Phokeer, Zaid Ahmed Farooq, Ihsan Ayyub Qazi, David Choffnes, and Krishna P. Gummadi in Computer Communication Review, Volume 47 Issue 5, October 2017, selected for presentation at SIGCOMM 2018 details
[ICTD17] "Leveraging Facebook’s Free Basics Engine for Web Service Deployment in Developing Regions", Siddharth Singh, Vedant Nanda, Rijurekha Sen, Satadal Sengupta, Ponnurangam Kumaragoru, and Krishna P. Gummadi, in Proceedings of the 9th International Conference on Information and Communication Technologies and Development
[IMC16] "Inspecting the Free Bridge Across the Digital Divide: Assessing the Quality of Facebook's Free Basics Service", Rijurekha Sen, Hasnain Ali Pirzada, Amreesh Phokeer, Zaid Ahmed Farooq, Satadal Sengupta, David Choffnes, and Krishna P. Gummadi, in Proceedings of the 16th ACM Internet Measurement Conference
[ICWSM16] "Scalable Urban Data Collection From The Web", Rijurekha Sen, Daniele Quercia, Carmen Vaca, and Krishna Gummadi, in Proceedings of the 10th International Conference on Web and Social Media (Core A)
[SenSys14] "GruMon: Fast and Accurate Group Monitoring for Heterogeneous Urban Spaces", Rijurekha Sen, Youngki Lee, Kasthuri Jayarajah, Archan Misra, and Rajesh Krishna Balan, in Proceedings of the 12th ACM Conference on Embedded Networked Sensor Systems(Core A*)
System security
PhD student: Ismi Abidi (2018-2022), Mehreen Jabbeen (2020-2025), Sai Kaushik (2025-)
MSR Student: Vedant Sharma (2025-), Naman Garg (2025-)
[ASIACCS24] "SpotOn: Adversarially Robust Keyword Spotting on Resource-Constrained IoT Platforms", Mehreen Jabbeen, Vireshwar Kumar, Rijurekha Senin the 19th ACM ASIA Conference on Computer and Communications Security (Core A)
[PoPETS23] "End-to-end Privacy Preserving Training and Inference for Air Pollution Forecasting with Data from Rival Fleets", Gauri Gupta, Krithika Ramesh, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Nishanth Chandran, Rijurekha Sen in Proceedings of The 23rd Privacy Enhancing Technologies Symposium (Core A)
[NDSS22] "Privacy in Urban Sensing with Instrumented Fleets, Using Air Pollution Monitoring As A Usecase", Ismi Abidi, Ishan Nangia, Paarijaat Aditya, Rijurekha Sen in Proceedings of The Network and Distributed System Security Symposium (Core A*)
[ACSAC21] "Practical Attestation for Edge Devices Running Compute Heavy Machine Learning Applications", Ismi Abidi, Vireshwar Kumar, Rijurekha Sen in Proceedings of the Annual Computer Security Applications Conference (Core A)
[Mobisys18] "SeClaok: ARM Trustzone-based Mobile Peripheral Control", Matthew Lentz, Rijurekha Sen, Peter Druschel and Bobby Bhattacharjee in Proceedings of the 16th International Conference on Mobile Systems, Applications, and Services(Core A)
[Mobisys16] "I-Pic: A Platform for Privacy-Compliant Image Capture", Paarijaat Aditya, Rijurekha Sen, Seong Joon Oh, Rodrigo Benenson, Bobby Bhattacharjee, Peter Druschel, Tongtong Wu, Mario Fritz, and Bernt Schiele, in Proceedings of the 14th International Conference on Mobile Systems, Applications, and Services(Core A)
Embedded hardware, system software and network
PhD student: Shikha Goel (2018-2023), Omais Shafi (2019-2024), Arunangshu Pal (2025-), Subharshi Roy (2025-)
Postdoc: Khalid Mohammed (2022-2024)
[TOSN26] "IceEdge: Thermal-Aware Machine Learning Inference Serving
for Emerging Edge Applications", Omais Shafi, Mohammad Khalid Pandit, Arpan Gujarati, Aastha Mehta, Rijurekha Senin ACM Transactions On Sensor Networks. (ACM Journal)
[TECS24] "EXPRESS: A Framework for Execution Time Prediction of Concurrent CNNs on Xilinx DPU Accelerator", Shikha Goel, Rajesh Kedia, M. Balakrishnan, Rijurekha Sen, in ACM Transactions on Embedded Computing Systems (significantly extended version of the FPT22 paper). (ACM journal)
[ACMSEC23] "Bang for the Buck: Evaluating the cost-effectiveness of Heterogeneous Edge Platforms for Neural Network Workloads", Amarjeet Saini, Omkar B. Shende, Mohammad Khalid Pandit, Rijurekha Sen, Gayathri Ananthanarayanan in the 8th ACM/IEEE Symposium on Edge Computing (Core unranked)
[JETC23] "Repercussions of Using DNN Compilers on Edge GPUs for Real Time and Safety Critical Systems: A Quantitative Audit", Omais Shafi, Mohammad Khalid Pandit, Amarjeet Saini, Gayathri Ananthanarayanan, Rijurekha Senin ACM Journal on Emerging Technologies in Computing Systems, (significantly extended version of IISWC21 paper). (ACM Journal)
[FPT22] "EXPRESS: CNN Execution Time Prediction for DPU Design Space Exploration", Shikha Goel, Rajesh Kedia, M. Balakrishnan, Rijurekha Sen in Proceedings of the International Conference on Field-Programmable Technology (EE Conference, Core unranked)
[COMPASS22_2] "DynCNN: Application Dynamism and Ambient Temperature Aware Neural Network Scheduler in Edge Devices for Traffic Control", Omais Shafi, Sachin Kumar Chauhan, Gayathri Ananthanarayanan, Rijurekha Sen in Proceedings of ACM SIGCAS and SIGCHI Computing and Sustainable Societies (Core unranked)
[IISWC21] "Demystifying TensorRT: Characterizing Neural Network Inference Engine on NVIDIA Edge Devices", Omais Shafi, Chinmay Rai, Gayathri Ananthanarayanan, Rijurekha Sen in Proceedings of IEEE International Symposium on Workload Characterization. (Core unranked)
[FPL21] "EnergyNN: Energy Estimation for Neural Network Inference Tasks on DPU", Shikha Goel, M. Balakrishnan, Rijurekha Sen in Proceedings of the International Conference on Field-Programmable Logic and Applications (EE conference, Core unranked)
[FPT20] "INFER: Interference Aware Estimation of Runtime for Concurrent CNN Execution on DPUs", Shikha Goel, Rajesh Kedia, M. Balakrishnan, Rijurekha Sen in Proceedings of the International Conference on Field-Programmable Technology (EE conference, Core unranked)
PhD Thesis
[THESIS] "Different Sensing Modalities for Traffic Monitoring in Developing Regions", Rijurekha Sen, advised by Prof. Bhaskaran Raman, at Department of Computer Science, Indian Institute of Technology, Bombay, 2014.
[TOSN15] "Road-RFSense: A Practical RF-Sensing Based Road Traffic Estimation System for Developing Regions", Rijurekha Sen, Abhinav Maurya, Bhaskaran Raman, Amarjeet Singh, Rupesh Mehta, and Ramakrishnan Kalyanaraman, in Transactions on Sensor Networks
[Mobiquitous14] "VividhaVahana: smartphone based vehicle classification and its applications in developing region", Shilpa Garg, Pushpendra Singh, Parameswaran Ramanathan, and Rijurekha Sen, in Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
[DEV13] "Accurate Speed and Density Measurement for Road Traffic in India", Rijurekha Sen, Andrew Cross, Aditya Vashishtha, Venkata N. Padmanabhan, Edward Cuttrell, and William Thies, in Proceedings of the 3rd Annual Symposium on Computing for Development
[SenSys12] "KyunQueue: A Sensor Network System To Monitor Road Traffic Queues", Rijurekha Sen, Abhinav Maurya, Bhaskaran Raman, Rupesh Mehta, Ramakrishnan Kalyanaraman, Nagamanoj Vankadhara, Swaroop Roy, and Prashima Sharma, in Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems
[Mobicom12] "Zee: Zero-Effort Crowdsourcing For Indoor Localization", Anshul Rai, Krishna Chintalapudi, Venkat Padmanabhan, and Rijurekha Sen, in Proceedings of the 18th Annual International Conference on Mobile Computing and Networking - US Patent 9,310,462
[SECON11] "RoadSoundSense: Acoustic Sensing based Road Congestion Monitoring in Developing Regions", Rijurekha Sen, Pankaj Siriah, and Bhaskaran Raman, in Proceedings of the 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks
[Mobisys10] "Horn-Ok-Please", Rijurekha Sen, Bhaskaran Raman, and Prashima Sharma,in Proceedings of the 8th Annual International Conference on Mobile Systems, Applications and Services
Magazine and Workshop Publications
[ESL20] "Design Space Exploration of FPGA Based System with Multiple DNN Acceleartors", Rajesh Kedia, Shikha Goel, M. Balakrishnan, Kolin Paul, Rijurekha Sen in IEEE Embedded System Letters
[AW4CITY19] "Travel time estimation accuracy in developing regions: An empirical case study with Uber data in Delhi-NCR", Daksh Shah, Aravinda Kumaran, Rijurekha Sen, Ponnurangam Kumaragaruin Proceedings of the 5th International Smart Cities Workshop, colocated with WWW2019
[ICMU14] "RasteyRishtey: A Social Incentive System to Crowdsource Road Traffic Information In Developing Regions", Rijurekha Sen, in Proceedings of the 7th International Conference on Mobile Computing and Ubiquitous Networking
[SenseMine13] "Challenges and Opportunties in Taxi Fleet Anomaly Detection", Rijurekha Sen, and Rajesh Krishna Balan, in Proceedings of the 1st International Workshop on Sensing and Big Data Mining
[NSDR12] "Intelligent Transport Systems For Indian Cities", Rijurekha Sen and Bhaskaran Raman, in Proceedings of the 6th ACM Workshop on Networked Systems for Developing Regions
[WISARD11] "WirelessAcrossRoad: RF based Road Traffic Congestion Detection", Swaroop Roy, Rijurekha Sen, Swanand Kulkarni, Purushottam Kulkarni, Bhaskaran Raman, Lokendra Singh, in Proceedings of the 5th Annual Worshop on Wireless Systems: Advanced Research and Development
[NSDR09] "Challenges In Communication Assisted Road Transportation Systems for Developing Regions", Rijurekha Sen, Vishal Sevani, Prashima Sharma, Zahir Koradia, Bhaskaran Raman, in Proceedings of the 3rd ACM Workshop on Networked Systems for Developing Regions