IMDEA Networks
Dr. Adarsh Prasad BEHERA
Post-Doc Researcher
- Affiliation: IMDEA Networks Institute
- PhD: Machine Learning - Indian Institute of Information Technology. Allahabad, India
- MSc: Wireless Communication Engineering - Indian Institute of Information Technology. Allahabad, India
- BSc: Electronics and Communication Engineering - Institute of Technical Education and Research. Bhubaneswar, India
- Ph.D. Thesis: Nonlinear Dimensionality Reduction using Ricci Flow Embedding
- Ph.D. Supervisors: Prof. Shekhar Verma and Dr. Manish Kumar
- Former position: Decision Scientist at FightRight Technologies Pvt Ltd. | Teaching and Research Assistant at Indian Institute of Information Technology Allahabad | Ph.D. Student at Indian Institute of Information Technology Allahabad
- Joining date: April 2023
- Email: adarsh.behera@imdea.org
- Phone: +34 610028765
Biography
I am currently working as a Postdoc researcher at IMDEA Networks Institute, Spain, in the Edge Networks lab. I received my Master’s degree in Wireless Communication Engineering and PhD degree in Machine Learning from the Indian Institute of Information Technology (IIIT) Allahabad, India, in 2022. Prior to joining IMDEA, I worked as a Decision Scientist in FIGHTRIGHT Technologies Private Limited, India for 9 months (March-December 2022). I also worked as a Teaching and Research Assistant (TRA) in IIIT Allahabad, India, in 2021-2022. My primary research interests are in Machine Learning, Edge Intelligence, Computer Vision, Wireless Communication, and Internet of Things (IoT).
Publications
The Case for Hierarchical Deep Learning Inference at the Network Edge
Ghina Al Atat, Andrea Fresa, Adarsh Prasad Behera, Vishnu Narayanan Moothedath, James Gross, Jaya Prakash Champati
NetAISys '23: Proceedings of the 1st International Workshop on Networked AI Systems. Helsinki, Finland. June 2023
Previous publications
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Strike off removal in Indic scripts with transfer learningcall_made
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Neural Computing and Applications Volume 35, pages 12927–12943 (2023)
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Deformity Removal from Handwritten Text Documents using Variable Cycle GANcall_made
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PREPRINT (Version 1) available at Research Square
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Data visualization through non linear dimensionality reduction using feature based Ricci flow embeddingcall_made
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Multimedia Tools and Applications Volume 81, pages 14831–14850 (2022)
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WSN Localization Using Similarity-Based Ricci Flow Embeddingcall_made
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IEEE Sensors Journal ( Volume: 21, Issue: 19, 01 October 2021)
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Manifold Learning with Localized Procrustes Analysis based WSN Localizationcall_made
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IEEE Sensors Letters ( Volume: 4, Issue: 10, October 2020)