معرفی
Sayali Chavan is a Lecturer in Management at Ulster University Business School, specializing in Data Analytics and Transformations. She is affiliated with the Department of Global Business & Enterprise at the Derry~Londonderry campus, where she maintains her office in room ML202.
Her educational background includes:
- PhD in Intelligent Systems from Ulster University (Digital Natives International Scholarship recipient)
- Master in Advanced Computer Science from Loughborough University (2018-2019), where she was a British Council Scholarship holder
Sayali is a distinguished AI researcher with specialized focus on Data Analytics and Computer Vision. Her research primarily centers on object detection systems, particularly automated billboard recognition. She has developed innovative approaches that integrate insights from the human visual system to improve model accuracy in computer vision applications. Her technical expertise spans YOLOv5, Residual Neural Networks, and MobileNet architectures, with emphasis on reducing false positives and optimizing detection processes for real-world implementation.
Her research contributions have been recognized with:
- Best Paper Award at the International Academy Research and Industry Association (IARIA) for 'Deep Learning for Billboard Classification' (2023)
- Associate Fellowship from AdvanceHE for teaching excellence
With five years of industry experience complementing her academic work, Dr. Chavan brings practical business insights to her teaching and research. Her work contributes to UN Sustainable Development Goals related to technological innovation, and she actively bridges the gap between technical AI capabilities and business management applications through her role in the Intelligent Systems Research Centre.