Seyedeh Tina Sefati | Deep Learning | Best Researcher Award

Tina Sefati is a Ph.D. candidate in Artificial Intelligence at the University of Tabriz and serves as an AI engineer and CEO at SaamDigital Eurasia, leading AI-driven projects across more than ten countries. Her research focuses on deep learning, supervised and unsupervised learning, time series anomaly detection, and generative models, with extensive expertise in CNNs, LSTMs, GANs, Transformers, and GNNs. She holds an MSc in Artificial Intelligence from the University of Tabriz, where she worked on improving spam filtering using game theory, as well as an M.Sc. in MBA and a BSc in Computer Engineering (Software) from Seraj University, with a thesis on solving the Traveling Salesman Problem using Ant Colony Optimization. Tina has over a decade of experience designing, developing, and managing AI-based systems for large organizations such as HepsiBurada and AndME in Turkey, delivering solutions in product recommendation, stock forecasting, credit scoring, intelligent smile design, license plate recognition, and face recognition systems. She has authored 33 publications, which have received 560 citations across 446 documents, reflecting an h-index of 12, demonstrating the impact of her research contributions. Her technical skills span deep learning, machine learning, NLP, image processing, time series analysis, Python, Flask, SQL, Git, and API development. Tina has also contributed to education as a programming and web design instructor and has successfully led AI projects that integrate statistical methods, NLP, and cloud-based architectures for big data analytics. Recognized for her innovation, leadership, and hands-on expertise in AI applications, she continues to advance research and practical AI solutions, bridging academic insights with industry impact.