Kamlesh Tiwari

About

Dr. Kamlesh Tiwari is an assistant professor in the Department of Computer Science and Information Systems at Birla Institute of Technology and Science Pilani, Pilani campus. He has earned his Ph.D. degree from the Department of Computer Science and Engineering of Indian Institute of Technology Kanpur. His research interests include Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision, Multimodal Biometric (Fingerprint, Face, Palmprint, knuckleprint), and Security. He has published more than 50 research articles in journals, conferences, and book chapters. He regularly organizes workshop on deep learning and machine learning. He is an IEEE and Signal Processing Society (SPS) member. He is an APPCAIR affiliated faculty and heads mapmyIndia AI-ML lab. He is a co-in charge of Advanced Data Analytics & Parallel Technologies Lab at BITS Pilani and an active member of Multimedia & HCI Laboratory.

Employment

• Birla Institute of Technology and Science Assistant Professor
  2016 - Present

Education

• Indian Institute of Technology Kanpur PhD.
  2009 - 2016
• Indian Institute of Technology Kanpur M.Tech
  2007 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Hierarchical Bayesian Deep Learning for return on advertising spend prediction: A probabilistic approach to e-commerce advertising
  Engineering Applications of Artificial Intelligence 2026 DOI: 10.1016/j.engappai.2025.113200
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• Bayesian Deep Learning Meets Self-Attention: A Risk-Aware Approach to Advertisement Optimization
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3570537
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• Enhanced Lightweight Quantum Key Distribution Protocol for Improved Efficiency and Security
  IEEE Open Journal of the Communications Society 2025 DOI: 10.1109/OJCOMS.2025.3528718
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• PUF-AQKD: A Hardware-Assisted Quantum Key Distribution Protocol for Man-in-the-Middle Attack Mitigation
  IEEE Open Journal of the Communications Society 2025 DOI: 10.1109/OJCOMS.2025.3575206
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• Quantum Computing-Accelerated Kalman Filtering for Satellite Clusters: Algorithms and Comparative Analysis
  IEEE Open Journal of the Computer Society 2025 DOI: 10.1109/OJCS.2025.3535081
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• Sybil-Resilient Publisher Selection Mechanism in Blockchain-Based MCS Systems
  IEEE Open Journal of the Computer Society 2025 DOI: 10.1109/OJCS.2025.3565620
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• Pub-SubMCS: A privacy-preserving publish–subscribe and blockchain-based mobile crowdsensing framework
  Future Generation Computer Systems 2023 DOI: 10.1016/j.future.2023.04.018
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• Fractional derivative based weighted skip connections for satellite image road segmentation
  Neural Networks 2023 DOI: 10.1016/j.neunet.2023.01.031
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• Air Quality Prediction Using the Fractional Gradient-Based Recurrent Neural Network
  Computational Intelligence and Neuroscience 2022 DOI: 10.1155/2022/9755422
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• ARFDNet: An efficient activity recognition & fall detection system using latent feature pooling
  Knowledge-Based Systems 2022 DOI: 10.1016/j.knosys.2021.107948
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