Aniruddha Chandra
Also known as: A. Chandra
National Institute of Technology Durgapur, Military University of Technology in Warsaw, Jadavpur University, Niigata University
About
Aniruddha Chandra received BE, ME, and PhD degrees from Jadavpur University, Kolkata, India, in 2003, 2005, and 2011 respectively. He joined the Electronics and Communication Engineering Department, National Institute of Technology, Durgapur, India, in 2005. He is currently serving as an Associate Professor there. In 2011, he was a Visiting Lecturer at the Asian Institute of Technology, Bangkok. From 2014 to 2016, he worked as a Marie Curie fellow at Brno University of Technology, Czech Republic. Dr. Chandra has published more than 100 research papers in refereed journals and peer-reviewed conferences. He is a co-recipient of the best short paper award at IEEE VNC 2014, held in Paderborn, Germany, and delivered a keynote lecture at IEEE MNCApps 2012, held in Bangalore, India. He is currently the secretary of the IEEE P2982 Standard working group and IEEE ComSoc RCC SIG on Propagation Channels for 5G and Beyond. His primary area of research is physical layer issues in wireless communication.
Employment
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Military University of Technology in Warsaw Visiting Researcher2023 - 2023
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Niigata University Guest Researcher2022 - 2022
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Slovak University of Technology in Bratislava Visiting Researcher2019 - 2019
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National Institute of Technology Durgapur Associate Professor2018 - Present
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Brno University of Technology Marie Curie Fellow2014 - 2016
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Asian Institute of Technology Visiting Professor2011 - 2012
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National Institute of Technology Durgapur Assistant Professor2005 - 2018
Education
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Jadavpur University PhD (Engineering)2007 - 2011
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Jadavpur University Master of Engineering2003 - 2005
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Jadavpur University Bachelor of Engineering1999 - 2003
Projects & Funding
Projects & funding information is unavailable.
Publications (165)
- Measurement and Characterization of Dual-Band Vehicle-to-Vehicle Millimeter-Wave Propagation Channels at 60 GHz and 80 GHz Save
- UlpFIFO: A 32nm 8-Bit 5.2-$\mathrm{\mu }$W Asynchronous FIFO With Hybrid Power Management for Edge Computing Save
- Stochastic 3D Foliage Modeling at 80 GHz: Experimental Validation and Ray Tracing Simulations Save
- Quantifying neurophysiological mechanism through heart rate variability: the case of cognitive stress Save
- A Comprehensive Survey on NOMA-Based Backscatter Communication for IoT Applications Save
- Channel Impulse Response Peak Clustering Using Neural Networks Save
- Channel Modeling for 60 GHz Fixed mmWave O2I and O2O Uplink with Angular Misalignment Save
- Comparative Analysis of Clustering Methods for Power Delay Profile in MMW Bands and In-Vehicle Scenarios Save
- Long-Term Channel Analysis at 60 and 80 GHz for Autonomous Ground Vehicles Save
- Power Angular Spectrum versus Doppler Spectrum – Measurements and Analysis Save