Dr. Jawad Ahmad Dar
Vignan's Foundation for Science, Technology & Research (Deemed to be University), Islamic University of Science and Technology, Kurukshetra University
About
Dr. Jawad Ahmad Dar (Member, IEEE) is currently serving as an Assistant Professor (Senior Level) in the Department of Advanced Computer Science and Engineering, School of Computing and Informatics, Vignan’s Foundation for Science, Technology & Research (Deemed to be University), India.
He received his B.Tech. degree in Computer Science and Engineering from the Islamic University of Science and Technology, Kashmir, and his M.Tech. degree in Computer Science and Engineering from Kurukshetra University, Kurukshetra, India. He obtained his Ph.D degree in Engineering and Technology (Computer Science and Engineering) from MGU University, India.
Dr. Ahmad has been actively engaged in academia and research, serving in various capacities as a research analyst and faculty member. He has published numerous research papers in reputed SCI /SCIE/ SCOPUS/WOS indexed journals and has been the recipient of several awards recognizing his academic and research contributions.
His current research interests include Artificial Intelligence, Machine Learning, Deep Learning, and the design of cryptographic algorithms.
Employment
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Vignan's Foundation for Science, Technology & Research (Deemed to be University) Assistant Professor2023 - Present
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Islamic University of Science and Technology ASSISTANT PROFFESSOR2015 - 2018
Education
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Kurukshetra University Master of Technology (M-Tech)2013 - 2015
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Islamic University of Science and Technology Bachelor of Technology (B-TECH)2009 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- Optimization Based Deep Learning for COVID-19 Detection Using Respiratory Sound Signals Save
- PORTABLE RESPIRATORY MONITORING DEVICE Save
- Lung anomaly detection from respiratory sound database (sound signals) Save
- Design and development of hybrid optimization enabled deep learning model for COVID-19 detection with comparative analysis with DCNN, BIAT-GRU, XGBoost Save
- Spectral features and optimal Hierarchical Attention Networks for Pulmonary abnormality detection from the Respiratory Sound signals Save
- Spectral features and optimal Hierarchical Attention Networks for Pulmonary abnormality detection from the Respiratory Sound signals Save
- MATLAB and GUI-Based Error Correction in Information Communication Save
- Survey on selenium tool in software testing Save
- Survey on Selenium Tool in Software Testing Save
- Survey on Parameter Estimation in Software Reliability Save