The Department of CSE – Artificial Intelligence & Machine Learning at Pimpri Chinchwad University (PCU) successfully organized an insightful workshop titled “Digital Image Processing in the Era of AI & Computer Vision” on Tuesday, 24th February 2026 at A303, Academic Block, PCU Campus. The workshop was conducted in association with the IEEE Student Chapter and ACM Student Chapter, adding strong academic and professional value to the event.
The session was delivered by Dr. Neerajkumar Sathawane, Associate Professor, Department of Computer Science and Business Systems, JSPM’s Rajarshi Shahu College of Engineering, Tathawade. He brought both technical depth and practical industry insights, effectively bridging theoretical concepts with real-world AI applications.
Bridging Theory with Real-World AI Applications
The workshop aimed to equip students with both foundational and advanced knowledge of Digital Image Processing (DIP) and its critical role in Artificial Intelligence and Computer Vision.
Key topics covered included:
- Image representation techniques
- Image enhancement and filtering operations
- Noise reduction methods
- Applications of DIP in AI-driven systems
Through structured explanations, real-world examples, and practical demonstrations, students gained clarity on how digital images are processed, analyzed, and interpreted in intelligent systems such as facial recognition, medical imaging, surveillance, and autonomous technologies.
What Students Thought
The workshop received an overwhelmingly positive response. Students appreciated:
- Clarity in explaining complex technical concepts
- Practical examples aligned with AI & ML curriculum
- Real-world case studies enhancing conceptual depth
- Interactive discussions encouraging critical thinking
Many participants shared that the session helped them visualize how classroom concepts directly apply to cutting-edge AI technologies. The workshop strengthened their analytical understanding and sparked deeper interest in Computer Vision research and development. One student remarked that the session “transformed theoretical learning into practical insight.”
Key Learning Outcomes
By the end of the workshop, students were able to:
- Understand the core principles of Digital Image Processing
- Apply enhancement and filtering concepts analytically
- Recognize the integration of DIP in AI and Computer Vision systems
- Connect theoretical knowledge with real-world applications
A Successful Academic Initiative
The workshop successfully achieved its objective of blending theory with practice and reinforcing the university’s commitment to industry-relevant education.
The Department extended heartfelt gratitude to:
- PCET Executive Director – Dr. Girish Desai
- PCU Vice Chancellor – Dr. Santosh Sonawane
- PCU Pro Vice Chancellor – Dr. Sudeep Thepade
- Dean SOET – Dr. Vijay N. Patil
- Director SOET – Dr. Abhijit Banubakode
- HoD CSE–AI & ML – Dr. Swati Deshmukh
Their continuous support played a vital role in the successful execution of the event. The Department also expressed sincere thanks to the distinguished resource person, faculty coordinators, IEEE and ACM Student Chapters, and the enthusiastic students whose active participation made the event a resounding success.
