Invited Speakers |

Prof. Dr. Shehzad Khalid

Prof. Dr. Shehzad Khalid is an academician, researcher, and research management professional with over 22 years of experience in Machine Learning, Computer Vision, Signal Processing, NLP, and Intelligent Medical Diagnostics.

He has spearheaded the RIC ecosystem and incubation center at Bahria University, earning recognition as one of Pakistan's top-ranked ecosystems. With over 100 journal publications and numerous successful research projects, he has made significant contributions to academia and industry.

Dr. Abdullahi Abdu Ibrahim

LinkedIn: Dr. Abdullahi Abdu Ibrahim

Dr. Abdullahi Abdu Ibrahim is an Assistant Professor at Altinbas University, Turkey. His research focuses on Wireless Sensor Networks (WSN), Wireless Body Area Networks (WBAN), and Machine Learning. Dr. Ibrahim has taught several courses in computer engineering and actively publishes research in reputable journals and conferences.

Prof. Dr. Arif Ur Rahman

LinkedIn: Dr. Arif Ur Rahman

Prof. Dr. Arif Ur Rahman, a Professor at Bahria University, Pakistan, earned his Ph.D. in Computer Science from the University of Porto. His research focuses on information retrieval, NLP, data management, and digital preservation.

He has contributed to EU-funded research projects and has supervised numerous PhD and MS scholars, publishing widely in high-impact journals.

Dr. Can Uzun

LinkedIn: Dr. Can Uzun

Dr. Can Uzun is an Assistant Professor at Altınbaş University, Istanbul, specializing in the intersection of artificial intelligence and architecture. His research focuses on generative adversarial networks (GANs) in architectural design, AI-driven plan generation, and urban data analysis. He has contributed significantly to AI and architecture through publications and collaborative projects.

Prof. Dr. Sumaira Kausar

LinkedIn: Prof. Dr. Sumaira Kausar

Prof. Dr. Sumaira Kausar is a distinguished academician and the Director of the Center of Excellence in AI at Bahria University. She has over 17 years of experience in AI, Machine Learning, and Data Science, leading impactful research and postgraduate supervision.

Ali Sami Gozukirmizi

LinkedIn: Ali Sami Gozukirmizi

Ali Sami Gozukirmizi is a seasoned Machine Vision System Design Engineer with over 12 years of experience in developing industrial AI systems at E3TAM Industrial AI Systems. He holds a Master's degree in Mechatronics Engineering from Boğaziçi University and is currently pursuing a Ph.D. in AI System Design at Istanbul Okan University. Ali Sami specializes in machine vision, deep learning, and AI system design.

Prof. Dr. Samabia Tehsin

LinkedIn: Prof. Dr. Samabia Tehsin

Prof. Dr. Samabia Tehsin, with a PhD from NUST, is a researcher with expertise in machine learning and AI. She is actively involved in national and international research collaborations and projects that drive innovation in the AI field.

Prof. Dr. Samabia Tehsin

Prof. Dr. Oğuz Ata

LinkedIn: Prof. Dr. Oğuz Ata

Assoc. Prof. Dr. Oğuz Ata is a distinguished academic specializing in machine learning, deep learning, the Internet of Things (IoT), and health informatics. His research focuses on interdisciplinary areas such as data mining, security systems, robotic path planning, and big data analytics. Dr. Ata serves as a faculty member in the Software Engineering Department at Altınbaş University, where he has also held administrative roles, including department head and graduate program coordinator. Dr. Ata has led innovative projects in IoT-based diagnostic systems, security protocols, and AI applications in healthcare. His work includes AI-supported solutions for critical health issues such as diabetes, Covid-19, and cardiovascular diseases, and he has published extensively in international peer-reviewed journals. Additionally, he has supervised numerous master’s and doctoral theses, making significant contributions to the academic community. Throughout his academic and professional career, Dr. Ata has embraced a multidisciplinary approach, focusing particularly on the development of IoMT (Internet of Medical Things) systems and AI-driven decision-making mechanisms. His publications and projects have earned international recognition in the fields of engineering and computer science.