M. Tariq Banday
Also known as: M. T. Banday, Tariq Banday, M. T. Banday, Banday M.T., M. Tariq Banday, M. T. Banday, M.T. Banday, Mohammad Tariq Banday, Tariq Banday M, Banday M, Bandat T. M.
University of Kashmir
About
M. Tariq Banday is working as a Professor at the University of Kashmir, Srinagar, India. He teaches various courses in electronics, computer sciences and information technology. He also supervises PhD scholars and investigates sponsored research projects. He has published over 200 research items as books, book chapters, and research papers in reputed journals and conference proceedings. His current research interests include security in the Internet of Things, processor architecture, e-mail security, forensics, and classification, cyber security, cloud computing and digital forensics. He has also worked in e-learning, e-governance, social media, image compression and quantum dot cellular automata.
Employment
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University of Kashmir Professor2001 - Present
Education
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University of Kashmir PhD2008 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (176)
- LQE-DT: a machine learning approach to proactive link quality prediction in IoT networks Save
- Lightweight chaotic map-based pseudo-random bit generator design: enhancing performance for IoT systems Save
- Adaptive image encryption for securing IoT applications using FCM-based chaotic maps Save
- An efficient machine learning based CPU scheduler for heterogeneous multicore processors Save
- Enhanced logistic map with infinite chaos and its applicability in lightweight and high-speed pseudo-random bit generation Save
- Evaluation of Objective Functions of RPL in the Contiki Simulator on Various Radio Models Save
- Modelling of efficient nano-scale code converters using quantum dot cellular automata Save
- Modelling of novel ultra-efficient single layer nano-scale adder-subtractor in QCA nanotechnology Save
- Objective Functions in High-Density Internet of Things Networks - A Performance Evaluation Save
- Towards the Modelling of Robust Nano-Scale Optimized Reversible Full Adder-Subtractor Using QCA Technology Save