Key Research Areas

Wireless Networking and Sensing, Internet of Things (IoT), Edge Computing, Long-range Networks

About

Dr. Preti Kumari is an Assistant Professor in the School of Computing and Electrical Engineering (SCEE) at IIT Mandi, India. Before joining IIT Mandi, she was a Research Fellow in Cisco-NUS Corp. Lab at the National University of Singapore. Prior to that, she worked as a Scientist at the Defence Research and Development Organisation (DRDO), Centre for Airborne Systems (CABS) lab, India. Dr. Preti earned her Ph.D. in Computer Science and Engineering from the Indian Institute of Technology (BHU) Varanasi and completed her M.Tech in the same field at the Indian Institute of Technology Patna. Her research interests lie in Wireless Networking and Sensing, Internet of Things (IoT), Edge Computing, and Long-Range Networks. She is particularly focused on designing cost-effective and resource-efficient solutions for data collection and forwarding in wireless networks, leveraging techniques from machine learning, deep learning, and game theory.

Recent Publications

1. 1. Shubham Pandey, Preti Kumari, Hari Prabhat Gupta, Devashish Rai, and S. V. Rao, “A Site-Specific LoRaWAN Parameters Selection Approach with Multi-Loss Propagation Model," 2024 IFIP Networking Conference (IFIP Networking), Thessaloniki, Greece, 2024, pp. 350-358, doi: 10.23919/IFIPNetworking62109.2024.10619879
2. Shubham Pandey, Preti Kumari, Hari Prabhat Gupta, S. V. Rao, “Advancing LoRaWAN Network Efficiency through Dynamic Receive Window Adjustment," 2024 IEEE Wireless Communications and Networking Conference (WCNC), Dubai, United Arab Emirates, 2024, pp. 1-6, doi: 10.1109/WCNC57260.2024.10571078
3. Poonam Maurya, Abhishek Hazra, Preti Kumari, Troels Bundgaard Sørensen, and Sajal K Das, “A Comprehensive Survey of Data-Driven Solutions for LoRaWAN: Challenges & Future Directions”, ACM Transactions on Internet of Things. [Accepted]
4. Preti Kumari, Hari Prabhat Gupta, Biplab Sikdar, “Efficient Knowledge Distillation to Train Lightweight Neural Network for Heterogeneous Edge Devices”, 2023 ACM Conference on Embedded Networked Sensor Systems (SenSys), New York, NY, USA, 546–547. https://doi.org/10.1145/3625687.3628409
5. Preti Kumari, Hari Prabhat Gupta, Sajal K. Das, and Rahul Bansal, “Rate-Monotonic Scheduler for LoRa-Based Smart Space Monitoring System," ICC 2023 - IEEE International Conference on Communications, Rome, Italy, 2023, pp. 2498-2503, doi: 10.1109/ICC45041.2023.10278736

Course Taught

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Preti Kumari

Designation: Assistant Professor