Dr Vinod Kumar
MMU, Chandigarh University, IK Gujral Punjab Technical University, Kurukshetra University, Panipat Institute of Engineering and Technology, Janardan Rai Nagar Rajasthan Vidyapeeth
About
Dr. Vinod Kumar: Pioneering Researcher and Educator in Computer Science with a Remarkable Journey
Dr. Vinod Kumar is a distinguished academic and researcher who has achieved remarkable accomplishments in the field of Computer Science and Engineering. Graduating with a Ph.D. in Computer Science and Engineering from I.K. Gujral Punjab Technical University in May 2023, Dr. Kumar's journey is one of resilience and dedication.
Surviving lung cancer, he has channeled his passion into developing cutting-edge diagnostic approaches for lung cancer. His commitment to this cause is underscored by his involvement with prestigious organizations like the International Association for the Study of Lung Cancer (IASLC) and the Indian Society for the Study of Lung Cancer (ISSLC). These associations exemplify his mission to advance lung cancer detection through innovative technologies.
Dr. Kumar's academic achievements are extensive. He qualified the UGC-NET exam in 2012 and holds an M.Tech. (2012) and a B.Tech. (2009) in Computer Science and Engineering. His educational prowess extends further with a Diploma in Computer Engineering (1995). With over a decade of teaching experience, he currently serves as an Assistant Professor at the Panipat Institute of Engineering and Technology, affiliated with Kurukshetra University and approved by AICTE, New Delhi.
His research contributions are impressive, with 29 research papers published in international journals and conferences, two authored and edited books, and two contributed book chapters published by Taylor & Francis. Dr. Kumar's intellectual property includes an Indian patent, reflecting his innovative thinking and technological insights.
Dr. Kumar's expertise spans diverse domains, including Artificial Intelligence, Machine Learning, Computer Networks, Unix & Linux programming, and Computer Organization and Architecture. His fascination with medical image processing and deep learning highlights his multidisciplinary approach.
Furthermore, Dr. Kumar's global engagement is noteworthy. He has presented research at international conferences and attended lung cancer-focused meetings in Canada, Spain, Singapore, and the USA. His international exposure has enriched his perspective and contributed to his impactful work.
Beyond academia, Dr. Kumar's personal journey adds depth to his profile. A cancer survivor for 27 years, he attributes his recovery to holistic practices such as living foods, nature care, meditation, and yoga science. His story serves as a powerful motivation for others.
Notably, Dr. Kumar's talents extend beyond the realm of academia. He is a gifted singer and songwriter, showcasing his creativity and artistic expression.
In summary, Dr. Vinod Kumar's biography is a testament to his unwavering dedication to education, research, and innovation in Computer Science. His triumph over adversity, extensive contributions to academia, and commitment to advancing lung cancer detection exemplify his impactful journey.
Employment
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MMU Professor2026 - Present
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Chandigarh University Associate Professor2023 - 2026
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Panipat Institute of Engineering and Technology Assistant Professor2022 - 2023
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Nims University Rajasthan Jaipur Associate Professor2021 - 2022
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Sachdeva Institute of Technology Assistant Professor2019 - 2021
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Kurukshetra University Assistant Professor2013 - 2019
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Haryana Engineering College Lecturer2012 - 2013
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Seth Jai Parkash Mukand Lal Institute of Engineering and Technology1998 - 2010
Education
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IK Gujral Punjab Technical University Ph.D.2014 - 2023
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Kurukshetra University Master of Technology2010 - 2012
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Janardan Rai Nagar Rajasthan Vidyapeeth Bachelor of Technology2005 - 2009
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State Board of Technical Education Haryana Diploma1991 - 1995
Projects & Funding
Projects & funding information is unavailable.
Publications (518)
- Personalized Lifestyle Optimization for PCOS: A Machine Learning and Dynamic System Approach Save
- The Synergistic Approach for Managing PCOS by Combining Nutritional Assistance and Lifestyle Changes Save
- Multi-model machine learning framework for lung cancer risk prediction: A comparative analysis of nine classifiers with hybrid and ensemble approaches using behavioral and hematological parameters Save
- Analysis of Cognitive CPS for Sustainable Smart Cities Save
- An Analysis of Deep Learning Algorithms for Detection of Pulmonary Illness Save
- Pneumonia Detection Based on Image Analysis Using Machine Learning Save
- <p>Expense Tracker Application Using Mern Stack</p> Save
- AI-Based Nutritional Intervention in Polycystic Ovary Syndrome (PCOS) Save
- Advanced Alzheimer’s Disease Prediction Models: A Comprehensive Investigation of Feature Selection and Ensemble Strategies Save
- An Image Synthesis Using Progressive Generative Adversarial Networks (PGANs) Save