About
Dr. Debabrata Das is serving as Director of IIIT Bangalore (IIITB). Before joining IIITB in 2002, he had served at G S Sanyal School of Telecommunication at IIT Kharagpur and later at Kirana Networks in New Jersey, USA. He is PI and nodal officer of project under National Mission for Interdisciplinary Cyber Physical Systems in the areas of Advanced Communication System, from DST, Govt of India. He is CoPI of a project from Tejas Networks on network node reliability. He was PI of multiple sponsored projects from Intel, Hewlett Packard, Microsoft, Motorola Research, Nokia, Govt. of India on the areas of Broadband Wireless MAC/QoS/Energy-saving, IMS. His main areas of research interest are IoT and Wireless Access Network's MAC, QoS, Power saving. Dr. Das received his Ph.D. degree from the Indian Institute of Technology Kharagpur.
He has more than 185 peer reviewed papers in different Transaction/Journals and International Conferences. Dr. Das has received 6 best paper awards. He has 3 US/Indian patents and 12 more are under review. He and his wireless network team had contributed ideas to IEEE Wireless Broadband Standard. He has received Prof. K. Sreenivasan Memorial Award 2017 for excellent teaching in the areas of Telecommunication from IETE. Dr. Das is recipient of IEEE Region-10 Outstanding Volunteer Award 2020, Global IEEE MGA Achievement Award 2012 and Outstanding Volunteer Award IEEE Bangalore Section 2008. He is Fellow-IETE, Fellow-IE and SM-IEEE. He was recipient of Hewlett Packard Endowment Chair Professor in IIITB. He was Chairman of IEEE Bangalore Section 2017. He is Chair-Elect 2021 IEEE India Council. He is a Board Member of IIIT Bhubaneswar. Dr. Das is a Technical/Steering/Empower Committee member of multiple Departments of Government of India and Government of Karnataka. Dr. Das was the Dean-Academic and R&D of IIIT Bangalore.
Employment
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IIIT-Bangalore Professor2002 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (162)
- A Data Augmented Bayesian Network for Node Failure Prediction in Optical Networks Save
- A Non-intrusive Failure Prediction Mechanism for Deployed Optical Networks Save
- A Non-intrusive failure prediction mechanism for deployed optical networks Save
- A data augmented Bayesian network for node failure prediction in optical networks Save
- An Efficient Beam Search Algorithm for mmWave Massive MIMO Save
- Connectivity and collision constrained opportunistic routing for emergency communication using UAV Save
- Data sequence signal manipulation in multipath TCP (MPTCP): The vulnerability, attack and its detection Save
- Efficient Elevator Mode Protocol to Recover Active calls from Transient Network Outages Save
- Efficient random access protocol for multi SIM multi standby devices in 5G and B5G networks Save
- Indoor Carbon dioxide (CO<inf>2</inf>) level control using Wearable smart watches over a wireless channel Save