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It is my great pleasure to welcome you to my homepage. I'm a 3GPP Standards Researcher in the Device & Modem Research Group at Nokia Bangalore, India, also pursuing my Ph.D. degree at National Taiwan University (NTU) Taiwan. I'm grateful to MediaTek Inc., Industrial Technology Research Institute (ITRI), and the Ministry of Science and Technology (MOST), Taiwan (R.O.C.), for their generous support for my research work.
Previously, I was with the Advanced Modem Group at Samsung R&D India. Prior to that, I worked at the Indian Institute of Technology, Kanpur, and Council of Scientific & Industrial Research (CSIR-IMMT), Bhubaneswar, India for a brief period. During Spring 2010, I worked at IIIT Bhubaneswar, India, as part of my master thesis. You can read more about me using the link here.
To this end, my mission is to utilize my passion in analyzing the implications of rapidly changing technology for socioeconomic inequities at large while serving as an example of the success that will shape the future of our society.
Research Interests
- Emerging communications and networking technologies (5G/6G, mmWave, Edge/Fog)
- Internet of Things including IIoT, UAV, V2X
- Application of AI and ML in wireless
- Bio-inspired computing & networking
I am happy to engage in professional relationships. Please feel free to reach out to me by email: biswap[AT]outlook[DOT]com
Recent News!
- May 2023: Our paper titled "Reducing Pilot Overhead for Channel Estimation in RIS-assisted Millimeter-wave Systems" has been accepted for publication in IEEE CONECCT 2023.
- July 2022: Joined Nokia Bangalore, India as Device & Modem Standards Research Expert.
- May 2022: Our paper titled "Mobility-aware Hybrid Channel Estimation Scheme for RIS-aided Millimeter-Wave Systems" has been accepted for publication in IEEE CONECCT 2022.
- April 2022: Delivered a Guest Lecture on 5G and Beyond - Journey Towards 6G at Vellore Institute of Technology, Tamil Nadu, India
- March 2022: Promoted to Lead Engineer at Samsung Research India, Bangalore.
- January 2022: Our paper titled "Decision Tree based User-centric Security Solution for Critical IoT Infrastructure" has been accepted for publication in Elsevier Journal of Computers and Electrical Engineering.
- December 2021: Received IEEE Computer Society Special Technical Community on Bio-inspired Computing: Outstanding Service Award 2021
- December 2021: Our paper titled "Towards Advanced UAV Communications: Properties, Research Challenges, and Future Potentials" has been accepted for publication in IEEE Internet of Things Magazine.
- November 2021: Our paper titled "Ultra-Dense 5G Network Deployment Strategy: A Reinforcement Learning Approach" has been accepted for publication in 6th International Workshop on 5G and Future Wireless Technology (5GFWT) in association with IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Hyderabad, India, December 2021.
- October 2021: Our paper titled "Dynamic Network Slicing using Deep Reinforcement Learning" has been accepted for publication in the IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Hyderabad, India, December 2021.
- September 2021: Our most-cited paper, "Cloud Computing Features, Issues and Challenges: A Big Picture," appears as a Reference Reading at the University of Pennsylvania course "Scalable and Cloud Computing (Fall 2021)."
- May 2021: Our paper titled "Personal Internet of Things (PIoT): What is it Exactly?", IEEE Consumer Electronics Magazine, Available Online.
- April 2021: Received WTS Best Student Paper Award for our paper "Medium Access Strategies for Integrated Access and Backhaul at mmWaves Unlicensed Spectrum", 20th Annual Wireless Telecommunications Symposium (WTS), San Francisco, USA, April 2021.
- October 2020: Our paper titled "Continual Learning-Based Channel Estimation for 5G Millimeter-Wave Systems" has been accepted for publication in the IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, USA, January 2021.
- November 2019: Our paper titled "ESMLB: An Efficient Switch Migration based Load Balancing for Multi-Controller SDN in IoT" has been accepted for publication in the IEEE Internet of Things Journal.
- November 2019: Joined Samsung R&D Institute, Bangalore (SRI-B), India