Invited Speaker
Assoc. Prof. Deepika Koundal, University of Eastern Finland, Finland
Biography: Dr. Deepika Koundal currently serves as a Senior Researcher at the University of Eastern Finland, an Adjunct Researcher at Ho Chi Minh City Open University in Vietnam, and a Senior Associate Professor (Sabbatical) at UPES, Dehradun, India. She is having a rich academic experience, specializing in artificial intelligence, computer vision, image processing, and deep learning. She holds a B.Tech, M.Tech, and Ph.D. in Computer Science and Engineering and has received several prestigious accolades, including the MSCA Seal of Excellence from the European Commission. Recognized as a top 2% researcher by Stanford University in 2023 and 2024. She has earned multiple research excellence awards from UPES and Chitkara University and has published numerous research articles, edited notable books, and holds several patents. Additionally, she contributes as a guest and associate editor for leading journals, including IEEE and Elsevier.
Speech Title: Transforming the Future: Automation and Sustainability through Computer Vision & Image Processing
Speech Abstract: In an era where technology is reshaping industries, Computer Vision and Image Processing play a pivotal role in driving automation and sustainability. These AI-powered technologies are revolutionizing sectors such as manufacturing, agriculture, smart cities, healthcare, and energy by enabling intelligent automation while promoting environmental responsibility. This presentation explores the intersection of automation and sustainability through computer vision, highlighting key applications such as smart manufacturing, waste reduction, renewable energy optimization, traffic management, and precision agriculture. Additionally, it addresses challenges, emerging trends, and the role of AI-driven solutions in fostering a greener, more efficient future. By leveraging deep learning, edge AI, and real-time image analysis, industries can achieve energy efficiency, resource optimization, and carbon footprint reduction, aligning with global sustainability goals. The session will also showcase real-world case studies, demonstrating how computer vision is reshaping automation while ensuring a sustainable future.
