Dr. Vibhor Sharma

About

I, Dr. Vibhor Sharma, am presently serving as an Associate Professor in the Department of Computer Science and Engineering at School of Science and Technology, Swami Rama Himalayan University, India. I have more than 12 years of teaching experience in the field of Computer Science and Engineering, with active involvement in teaching, academic administration, research, and student mentoring.

I hold a Ph.D. in Computer Science and Engineering and a Master of Technology (M.Tech) in Computer Science and Engineering. I completed my Bachelor of Technology (B.Tech) in Computer Science and Engineering. Earlier in my academic journey, I obtained a Diploma in Information Technology and an Advanced Diploma in Software Engineering.

My academic interests include Internet of Things (IoT), Embedded Systems, Software Engineering, Object-Oriented Programming, Data Mining, and emerging computing technologies. I am actively involved in academic research, professional development, and the organization of technical workshops, seminars, and student activities.

I am also associated with the IEEE professional community and actively contribute to student engagement through initiatives under the IEEE Student Branch at Swami Rama Himalayan University, promoting technical learning, collaboration, and innovation among students.

Employment

• Swami Rama Himalayan University Associate Professor
  2023 - Present
• Roorkee Institute of Technology (RIT) Assistant Professor
  2022 - 2023
• Swami Rama Himalayan University Assistant Professor
  2018 - 2022
• Tula's Institute Assistant Professor
  2014 - 2018
• Tula's Institute Lecturer
  2011 - 2012
• Govt Polytechnic Narendra Nagar Guest Lecturer
  2010 - 2011

Education

• Uttarakhand Technical University M.Tech
  2012 - 2014
• Tula's Institute B.Tech
  2007 - 2010
• Government Polytechnic Narendra Nagar Diploma
  2004 - 2007

Projects & Funding

Projects & funding information is unavailable.

Publications (40)

• Artificial Intelligence (AI) in Service of Environment: Sustainable Solutions for Global Challenges
  2026 DOI: 10.53550/EEC.2026.V32.I01S.023
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• An Intelligent Information System for Smart Tourism and Sustainability
  Ecology, Environment and Conservation 2026 DOI: 10.53550/eec.2026.v32i02.011
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• Design and Simulation of Small Scale RF MTF-MOSFET
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-19672-9_47
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• A Framework for Predicting Diabetic Retinopathy Using Deep Learning and Image Augmentation
  2025 5th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU) 2025 DOI: 10.1109/iot-siu65919.2025.11402788
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• An Intelligent Approach to Predict Agricultural Productivity Using Artificial Neural Network Framework
  Healthcare Recommender Systems 2025 DOI: 10.1007/978-3-031-80056-6_17
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• A Novel Study of Predicting Coronary Artery Disease with Data Mining and Machine Learning Algorithms
  2024 International Conference on Healthcare Innovations, Software and Engineering Technologies (HISET) 2024 DOI: 10.1109/hiset61796.2024.00048
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• Methods for Categorizing Data Mining Outputs: A Review
  2024 International Conference on Healthcare Innovations, Software and Engineering Technologies (HISET) 2024 DOI: 10.1109/hiset61796.2024.00049
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• A Novel Study on IoT and Machine Learning-Based Transportation
  Machine Learning Techniques and Industry Applications 2024 DOI: 10.4018/979-8-3693-5271-7.ch001
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• Comparative Analysis of Correlation Tracking Algorithms for Real-Time Video Object Tracking
  Intelligent Circuits and Systems for SDG 3 – Good Health and well-being 2024 DOI: 10.1201/9781003521716-74
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• A Comparative Analysis of Liver Cancer Detection using Neural Network Algorithm and Correlation Algorithm
  2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES) 2024 DOI: 10.1109/ic3tes62412.2024.10877494
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