0000-0003-0926-1699 About
Dr. Anurag Sharma is doctorate from Dr B. R. Ambedkar National Institute of Technology, Jalandhar in the field of Engineering (Artificial Intelligence). He has research interests in AI, Cloud Comuting, communication, IoT and Technology for Healthcare. He is M.Tech and B.Tech from Punjab Technical University, Jalandhar. He has more than 20 years of total experience in Teaching as well as in Industry. He worked with various industries like Bharat Electronics Limited, Punjab Communication Limited, Elcom Systems and in various educational institutions.
He is presently working with CT Institute of Technology and Research, Maqsudan, Jalandhar as Professor and Head (Computer Science and Engineering) in Faculty of Engineering, Design and Automation. He is recipient of ISTE best teacher’s award thrice and is Wipro Mission 10x certified faculty member. He has guided more than 4 PhD Scholars, 25 M.Tech students dissertation and is guiding 08 PhD scholars.
He has published more than 100 research articles in reputed International journals/conferences. He has received grants from Indian Council of Medical Research (ICMR), Department of Science and Technology (DST) and JiM Grant from UK for his research works.
Employment
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CT Institute of Technology and Research PROFESSOR
Education
Education history is unavailable.
Projects & Funding
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Publications (25)
- Voice activity detection using optimal window overlapping especially over health-care infrastructure Save
- Role of Graph Theory in Computational Neuroscience Save
- A Radio over Fiber (RoF) Based Single Sideband Modulated Passive Optical Network (PON) Using Mach Zender Modulator Based on Different Electrical Phase Shifts Save
- An accurate artificial intelligence system for the detection of pulmonary and extra pulmonary Tuberculosis Save
- Recent Developments, Challenges, and Future Scope of Voice Activity Detection Schemes—A Review Save
- Factors Affecting Psychological Needs of Medical Workforce during the COVID-19: Evidence from India Save
- Fast and Accurate Diagnosis of Autism (FADA): a novel hierarchical fuzzy system based autism detection tool Save
- Efficacy of an Android-based game intervention in the enhancement of face recognition skills for children with autism Save
- Skin conductance response patterns of face processing in children with autism spectrum disorder Save
- Geographic routing protocol: A review Save