About
Dr. Atul Garg received Master’s Degree from Kurukshetra University, Kurukshetra in 2004 and Ph. D degree from Maharishi Markandeshwar University, Mullana (Ambala) in 2013. Currently, he is working as Professor in Computer Science and Engineering and Director-(IQAC), Chitkara University Accreditation and Quality Assurance Cell, Chitkara University Punjab, India. He have 20+ years of experience and has worked as administrator, teacher, mentor and researcher during his professional tenure. He pursued his Ph. D in Computer Science and has more than 100 publications to his credit. 6 students were conferred their Ph. D degree under his supervision and he has made significant contributions in domain of Accreditations and Rankings. 16 patents are granted, 3 are published and one is filed. He has bagged 3 best research paper awards from International conferences. He has delivered a number of expert talks. He is Editorial Review Board Member in International Journal of R&D Innovation Strategy (IJRDIS), IGI, Global, Korea. He is life member of Computer Society of India, Senior Member of the association of Universal Association of Computer & Electronics Engineers (UACEE), Australia, member in Society for Research and Development, member in the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST), Belgium and Member in the International Association of Engineers, Hong Kong.
Employment
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Chitkara University, Punjab Professor2019 - Present
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MM (Deemed to be University) Professor (Associate)2004 - 2019
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (54)
- Revolutionizing Heart Attack Prevention: Machine Learning Models in Smart Healthcare Save
- Enhanced access level-based Circular Replication for CDN performance using CRANNS Save
- Machine Learning Approaches for Breast Cancer Prediction: A WEKA-Based Performance Analysis Save
- Machine Learning Insights for Early Breast Cancer Diagnosis Save
- Smart manufacturing Save
- A Machine Learning Approach to Cardiovascular Disease Prevention in Smart Healthcare Save
- REVOLUTIONIZING HEALTHCARE: AN IN-DEPTH ANALYSIS OF DEEP LEARNING MODELS Save
- Utilizing Machine Learning-Based Algorithms to Predict Student’s Future Save
- Comprehensive Review: Recent Advancements and Applications of Cyber-Physical Systems for IoT Devices Save
- Role of Satellite Communication in the Current Era Save