Key Research Areas
Wireless Communications, Next-Generation Wireless Networks, Molecular Communications
About
Adarsh Patel is an assistant professor in the school of computing and electrical engineering at IIT Mandi, HP, India. His research interests include the technologies for the next-generation Wireless Networks, which include massive MIMO and mm-Wave, IoT, IRS, Cognitive Radio and License Assisted Access, Cooperative Communication, Molecular Communications, Sensor Networks, and others having applications of Signal Processing, Game Theory, Machine Learning, Tensor, Optimization Techniques. His research group hail from the InfoComm lab at IIT Mandi.
Adarsh received the Ph.D. degree in electrical engineering from IIT Kanpur. His thesis, titled "Robust Spectrum Sensing for Multiple-Input Multiple-output (MIMO) Cognitive Radio Networks," has received Innovative Student Project Award 2017 by the Indian National Academy of Engineering (INAE). He was awarded with TCS Research fellowship and National-Postdoctoral fellowship to conduct research at IIT Kanpur for five years and IISc Bangalore for two years, respectively. He worked as a postdoctoral research staff in the Sensor Fusion Lab in the department of EE & CSE at the Syracuse University, NY, USA.
Recent Publications
1. N. Varshney, A. Patel, Y. Deng, W. Haselmayr, P. K. Varshney, and A. Nallanathan, "Abnormality Detection Inside Blood Vessels With Mobile Nanomachines," IEEE Transactions on Molecular, Biological and Multi-Scale Communications, vol. 4, no. 3, pp. 189-194, 2018, doi: 10.1109/TMBMC.2019.2913399.
2.
A. Chawla, R. K. Singh, A. Patel, A. K. Jagannatham, and L. Hanzo, "Distributed Detection for Centralized and Decentralized Millimeter Wave Massive MIMO Sensor Networks," IEEE Transactions on Vehicular Technology, vol. 70, no. 8, pp. 7665-7680, 2021, doi: 10.1109/TVT.2021.3089669.
3.
A. Chawla, A. Patel, A. K. Jagannatham, and P. K. Varshney, "Distributed Detection in Massive MIMO Wireless Sensor Networks Under Perfect and Imperfect CSI," IEEE Transactions on Signal Processing, vol. 67, no. 15, pp. 4055-4068, 2019, doi: 10.1109/TSP.2019.2924588.
4.
A. Patel, S. Biswas, and A. K. Jagannatham, "Optimal GLRT-Based Robust Spectrum Sensing for MIMO Cognitive Radio Networks With CSI Uncertainty," IEEE Transactions on Signal Processing, vol. 64, no. 6, pp. 1621-1633, 2016, doi: 10.1109/TSP.2015.2500183.
5.
A. Patel, H. Ram, A. K. Jagannatham, and P. K. Varshney, "Robust Cooperative Spectrum Sensing for MIMO Cognitive Radio Networks Under CSI Uncertainty," IEEE Transactions on Signal Processing, vol. 66, no. 1, pp. 18-33, 2018, doi: 10.1109/TSP.2017.2759084.
Course Taught
1. IC101P-Reverse Engineering Lab
2. EE304-Communication Theory
3. EE304P-Communication Theory Lab
4. EE503-Advance Communication Theory
5. EE522-Matrix Theory
6. CS512-Linear Algebra and its Applications
7. EE641-Advance Wireless Technologies
8. EExxx-Tensor: Techniques
9. Algorithms & Applications for Signal Processing & ML
