Mr. Ravi Pratap Singh is currently working as an Assistant Professor in the School of Computing Science and Engineering at Galgotias University, where he has been associated since 2025. He has submitted his Ph.D. thesis in Computer Science and Engineering at the National Institute of Technology, Rourkela, with specialization in machine learning, computer vision, and image processing. His research focuses on lightweight deep learning architectures for face anti-spoofing, and he has published several papers in reputed journals and conferences. A passionate teacher and researcher, he believes in nurturing critical thinking, problem-solving, and innovation among students while ensuring their overall development. Over the years, he has actively contributed to teaching, mentorship, and research guidance, along with participating in workshops, academic events, and peer-review activities. He strongly believes that teaching extends beyond the classroom to shaping responsible and skilled professionals for the future.

Academic Qualification:

• PhD in Computer Science and Engineering (Thesis Submitted)
• M.Tech. in Computer Science and Engineering
• B.Tech. in Computer Science and Engineering

Publications: (mention in numbers)

• SCI Article Publications: 2
• Scopus Article Publications: 6
• International/National Conference Publications:4

Workshop, FDP & Training Participated and attended:

• Conducted a Lab Session on Convolutional Neural Networks in Python as a Resource Person in Workshop on Mathematics in Machine Learning (WMML-2025) organized by the Department of Mathematics, FE&T, ITER, Siksha ’O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, during 14th to 18th July, 2025.
• Participated in DSR-SERB Sponsored National Workshop on Artificial Intelligence & Machine Learning: Theory & Practice (AIML- 2024) Offered by NIT Rourkela during June 24 - 28, 2024.
• Participated in Five days Workshop on ’Machine Learning Techniques for Signal & Image Processing Applications’ organized by Department of Electronics and Communication Engineering, NIT Rourkela. April 18 - 22, 2022.
• Participated in One day workshop on ’Springer Nature Online Session writing and publishing’, organized by Springer Nature held on November 3, 2022 (Online)
• Participated in Faculty Development Program on Data Science organized by E & ICT Academy, IIT Kanpur. July 5 - 16, 2021. (online)
• Participated in One Week Online International FAculty Development Programme on ’Machine Learning and Computer Vision: Applications, Research Challenges (MLCV 2020)’ joiontly organized as twinning programme by National Institute of Technology Silchar, Assam and Gauhati University Institute of Science & Technology, Guwahati, Assam, held during August 24 - 28, 2020. (Online)
• Participated in One-week Faculty Development Programme on ’Deep Learning and Machine Learning Applications in Computer Vision’ organized by Electronics & ICT Academies, NIT Patna. August 22 - 28, 2020. (online)
• Participated in 3rd One Week Self-Sponsored Short term Course on Advances in Deep Architectures for Signal, Image and Vision Applications’ organized by Computer Vision & Biometrics Lab (CVBL), Indian Institute of Information Technology, Allahabad. November 30 - December 6, 2020. (online)
• Participated in Workshop on Network Simulation (WNS-2017) organizd by Motilal Nehru National Institute of Technology Allahabad during July 8 - 12, 2017.

Membership Certification & Association:

• Student Member IEEE

Award & Recognition:

• NET qualified (UGC) - 2017
• Junior Research Fellowship Award (UGC) - 2017
• ”Rajyapal Purushkar” Award, Scout and Guide - 2007.

Programming Skill/Knowledge:

• Programming: Pyhton, C, C++, Lix.
• Operating Systems: Windows, Linux (Ubuntu), macOS.
• Frameworks/Tools: PyTorch, Torchvision, Numpy, Pandas, Scikit-learn, Matplotlib, LaTeX, Microsoft Office Suite, Draw.IO, XILINX, LLMs.
• Soft Skills: Scientific writing, Presentations, Collaboration, Problem Solving, Adaptability
• Relevant Coursework: Machine Learning, Operating Systems, Data Structure, Database Management System, and Algorithms.

Area of Interest:

• Artificial Intelligence, Computer Vision, Pattern Recognition

• Image Processing, Deep Learning, Machine Learning