Dr. Satvik Vats

About Dr. Satvik Vats, SMIEEE

Dr. Satvik Vats (SMIEEE) is an Assistant Professor in the Department of Computer Science and Engineering at Madan Mohan Malaviya University of Technology (MMMUT), Gorakhpur.

He earned his Ph.D. in Computer Science and Engineering from the Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India. A dedicated academician and researcher, his professional journey reflects an enduring commitment to excellence in teaching, research, and innovation.

Before joining MMMUT, Dr. Vats served as an Assistant Professor at Graphic Era Hill University, Dehradun, and worked as an AI Researcher on the iDoc-X Project at Teleglobal Consulting Ltd., UK. During his tenure at Teleglobal, he contributed to the development of the iDoc initiative — an advanced healthcare solution leveraging artificial intelligence to detect chest diseases from X-Ray images.

Dr. Vats has published extensively in high-impact international journals and conferences indexed in SCI, SCIE, ESCI, Scopus, and Web of Science. In addition to his scholarly publications, he has authored books and multiple book chapters with renowned international publishers. He holds 21 patents, demonstrating his consistent dedication to research, technological advancement, and societal benefit.

In 2025, he received the “Young Scientist Award” at the International Conference on Network and Cryptology, organized by the School of Computer and Systems Sciences, Jawaharlal Nehru University (JNU), New Delhi. He has also been listed among the World’s Top 2% Scientists in 2025, recognizing his global research contributions.

Dr. Vats is the Founder and Convener of two internationally recognized conference series:

• AutoCom – advancing automation, computing, and smart technologies

• CyberCom – dedicated to cybernation, computation, and emerging technologies

Both conferences have rapidly gained international prominence in the global research community.

As an academician, Dr. Vats believes that teaching is not merely the transmission of knowledge, but an art of inspiring curiosity, fostering critical thinking, and nurturing creativity. He strives to build a dynamic, inclusive, and research-oriented learning environment where students collaborate, innovate, and translate theory into real-world impact. His expertise in Big Data Analytics, Machine Learning, and Deep Learning bridges the gap between academic concepts and practical applications.

Dr. Vats welcomes students, collaborators, and innovators to join him on a transformative journey of knowledge and discovery — working together to shape the future of technology, education, and innovation.

Dr. Vats Research Interests:

• Big data 

• Deep Learning

• Machine Learning

• Computer Vision  

• Digital Health 

• Smart Agriculture

• Computational Technology