Anirban Lekharu

About

Working as a Specialist in Innovation & Technology at ZF India, focusing on active research in autonomous driving and implementation and validation of algorithms. Experienced Research professional with a Doctorate Degree focused on Deep Learning Approach for Efficient Mobile Edge Computing from the Indian Institute of Technology, Guwahati. Completed Master's Degree focused on Multimedia Streaming Services from the Department of Computer Science and Engineering, Indian Institute of Technology, Guwahati. Skilled in Python, C++, C, Matlab, HTML and JavaScript. My area of research focuses on topics like multimedia streaming technologies, content-aware computing, machine learning, computer vision, and autonomy.

Employment

• ZF Friedrichshafen (Germany) Specialist in Innovation and Technology
  2023 - Present
• Indian Institute of Technology Guwahati Project Fellow
  2013 - 2017

Education

• Indian Institute of Technology Guwahati PhD
  2018 - 2023
• Indian Institute of Technology Guwahati Masters of Technology
  2015 - 2017
• Gauhati University Bachelor of Engineering
  2008 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Content-Aware Caching at the Mobile Edge Network Using Federated Learning
  IEEE Transactions on Emerging Topics in Computational Intelligence 2025 DOI: 10.1109/TETCI.2024.3402166
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• Collaborative Video Caching in the Edge Network using Deep Reinforcement Learning
  ACM Transactions on Internet of Things 2024 DOI: 10.1145/3664613
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• Reinforcement Learning-Based Adaptive Bitrate Caching at MEC Server
  IEEE Transactions on Network and Service Management 2024 DOI: 10.1109/TNSM.2024.3367333
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• Deep Learning Model for Content Aware Caching at MEC Servers
  IEEE Transactions on Network and Service Management 2021 DOI: 10.1109/tnsm.2021.3136439
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• Deep learning based prediction model for adaptive video streaming
  2020 12th International Conference on Communication Systems & Networks (COMSNETS) 2020
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• A QoE aware LSTM based bit-rate prediction model for DASH video
  2018 10th International Conference on Communication Systems & Networks (COMSNETS) 2018
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• A qoe aware svc based client-side video adaptation algorithm for cellular networks
  Proceedings of the 19th International Conference on Distributed Computing and Networking 2018
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• RST invariant multi view 3D image watermarking using DWT and SVD
  2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) 2015
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