Sushil Ghildiyal

Sushil Ghildiyal is an Assistant Professor in the School of Computer Science at UPES, Dehradun, with strong academic and research experience in Artificial Intelligence, Machine Learning, Remote Sensing, and Computer Vision. He is currently pursuing his Ph.D. in Computer Science and Engineering from Indian Institute of Technology Ropar. His research focuses on deep learning-based analysis of satellite imagery, medical image processing, and intelligent cyber-physical systems.

He has worked on several funded and collaborative research projects involving cloud removal in satellite images, crop type mapping, and medical diagnostics using GANs and convolutional neural networks. His work has been published in high-impact journals including IEEE JSTARS, IEEE GRSL, IEEE Access, PeerJ, and the European Journal of Agronomy.

Sushil Ghildiyal has diverse academic, research, and industry experience across teaching, research, and automation domains. He has served as a Teaching Assistant at Indian Institute of Technology Ropar, assisting in courses such as Artificial Intelligence, Multimedia Systems, and Agriculture Cyber-Physical Systems.

He has also worked as a Research Assistant at Vellore Institute of Technology in medical image processing research using Generative Adversarial Networks. He served as an IoT Analyst at Indian Institute of Technology Roorkee, supporting startups with machine learning solutions and hardware system setup.

Beyond academia, he worked as an Automation Engineer at Clearpack Group Sdn. Bhd. and at IGI Airport Terminal 3, handling automation systems, SCADA monitoring, and industrial operations.

Machine Learning | Deep Learning | Computer Vision | Remote Sensing | Satellite Image Processing | Medical Image Analysis | Generative Adversarial Networks | Cyber-Physical Systems | AI in Agriculture | AI in Healthcare

Sushil Ghildiyal believes in outcome-oriented and experiential learning that blends strong theoretical foundations with practical implementation. His teaching emphasizes critical thinking, problem-solving, and hands-on exposure through real-world datasets, case studies, and projects.

He encourages students to explore interdisciplinary applications of AI, promotes ethical and responsible use of technology, and mentors students to become innovative, skilled, and socially responsible professionals.

Machine Learning | Python Programming | Artificial Intelligence | Data Science | Research Methodology in Computer Science | Operating Systems | Elements of AI/ML | Agriculture Cyber-Physical Systems

Secured the Third Runner-Up position in the Bootcamp Hackathon on Machine Learning from Scratch held in Moscow. Received the Best Project Award during his M.Tech program at Vellore Institute of Technology. He was also a Fellow in AI/ML at GradValley DataScience and is a recipient of the MHRD Fellowship Grant for his Ph.D. program at IIT Ropar.

He has an extensive publication record in reputed international journals and conferences. His scholarly work includes deep learning architectures for cloud removal in satellite imagery, crop classification using time-series data, medical image segmentation, and intelligent control systems.

He serves as a reviewer for journals and conferences including IEEE JSTARS, IEEE GRSL, International Geoscience and Remote Sensing Symposium, and SN Computer Science. He actively mentors students in research projects and contributes to advancing applied AI research.

Email: sushil.ghildiyal@ddn.upes.ac.in