Keynote Speaker 1
Hironori Washizaki
2025 IEEE Computer Society President; Professor & Associate Dean, Research Promotion Division, Waseda University
Title: Impact of IEEE Computer Society in Advancing Technologies, including LLM/AI and Software Engineering
Abstract:
This talk first provides an overview of the IEEE Computer Society’s strategic areas, including engaging our members, engaging the industry, and leading new areas such as AI and Society. Then, the talk explains the latest version of the CS’s Technology Predictions 2025, which foresees 22 breakthrough technologies (incl. LLM/AI Agents) to shape the future of our world for decades to come, and the CS’s Guide to the Software Engineering Body of Knowledge (SWEBOK Guide) as well as its latest updates, including a new topic, AI and Software Engineering (SE). The talk then presents recent trends in AI for SE and SE for AI.
Bio:
Hironori Washizaki is the 2025 IEEE Computer Society (CS) president. He is a professor and the associate dean of the Research Promotion Division at Waseda University. He is a visiting professor at the National Institute of Informatics and an advisor at the University of Human Environments. He also works in the industry as an outside director and advisor at eXmotion and SI&C. He has led professional and educational activities at the IEEE CS, including the evolution of the Guide to the Software Engineering Body of Knowledge (SWEBOK) and the CS Juniors program. He has led many academia-industry joint research and large-funded projects in systems and software requirements, design, reuse, quality assurance, and AI software engineering. He leads a professional IoT/AI/DX education project called “Smart SE.” Since 2015, he has been the convenor of ISO/IEC/JTC1/SC7/WG20 to standardize bodies of knowledge and certifications in systems and software engineering.
Keynote Speaker 2
Prof. Mohamed Abdel-Mottaleb, Fellow – IEEE
Founding Chair of the Department of Computer Science at Indiana University, Indianapolis
Title: Deep Learning Applications in Ophthalmology, Radiology, and Oncology
Abstract
In this presentation, I will provide an overview of our research on using AI in the fields of ophthalmology, radiology and oncology, highlighting the application of deep learning in these areas. In ophthalmology, I will discuss our work on diagnosing glaucoma from retinal fundus images using deep learning algorithms, as well as our segmentation techniques for measuring the thickness of corneal layers from Optical Coherence Tomography (OCT) scans. The corneal layer segmentation helps in detecting subtle changes associated with corneal diseases such as Fuchs’ dystrophy, keratoconus, and corneal graft rejection. Additionally, I will introduce a novel assistive solution for individuals with severe glaucoma or macular degeneration. In radiology, I will present our work on using deep learning to improve mass detection from multiple mammogram views. Finally, in oncology, I will highlight our work in assessing the efficacy of neoadjuvant treatment.
Bio
Mohamed Abdel-Mottaleb received his PhD in computer science from the University of Maryland, College Park, in 1993. Since 2024, he has been serving as the Founding Chair of the Department of Computer Science at Indiana University, Indianapolis. He joined the University of Miami (UM) in 2001 and served as the department chair of Electrical and Computer Engineering (ECE) from 2009 to 2024. His research focuses on AI/ML, biometrics, visual tracking, human activity recognition, and medical image processing. Prior to joining UM, he was with Philips Research in Briarcliff Manor, New York, where he served as a principal member of the research staff and project leader. At Philips Research, he led several projects in image processing and content-based multimedia retrieval. He also represented Philips in the standardization activity of ISO for MPEG-7, where some of his work was included in the standard. He has authored approximately 200 journal and conference papers in the areas of image processing, computer vision, and content-based retrieval. He holds 23 U.S. patents and more than 30 international patents. He is a Fellow of the IEEE and on the editorial board of the Elsevier Pattern Recognition journal.
Keynote Speaker 3
Prof. Khan A. Wahid
Professor, Department of Electrical and Computer Engineering
Division of Biomedical Engineering, University of Saskatchewan
Title: A-Eye (Aerial Eye): AI-enabled Smarter Drones for a Warming World
Abstract: Climate change has significantly increased the frequency, intensity, and spatial extent of wildfires, posing severe threats to ecosystems, communities, and critical infrastructure. In 2025, both Canada and the United States experienced substantial wildfire activity, with Canada enduring a historic season in which approximately 8.9 million hectares (22 million acres) burned, particularly across western provinces and territories such as Saskatchewan, Manitoba, and British Columbia.
Rapid detection, accurate situational awareness, and timely response are essential to mitigating wildfire impacts. However, traditional ground-based and satellite monitoring systems often suffer from limited spatial resolution, delayed data availability, and restricted accessibility in complex terrain.
This talk explores the role of Intelligent Aerial Systems, specifically AI-powered Unmanned Aerial Vehicles (UAVs), as transformative tools for wildfire detection, monitoring, and response. A proof of concept of an event-driven, four-stage video surveillance pipeline, incorporating an efficient video transmission algorithm that balances power consumption and image quality, will be presented. By integrating machine learning, computer vision, and real-time sensor fusion with UAV platforms, these systems enable early fire ignition detection, dynamic fire-front mapping, smoke plume analysis, and predictive fire-spread modeling.
Bio: Prof. Khan A. Wahid (S’02–GS’05–M’07–SM’13) received his B.Sc. degree from the Bangladesh University of Engineering and Technology in 2000. He received his M.Sc. (2003) and Ph.D. (2007) degrees from the University of Calgary. He is currently a Professor in the Department of Electrical and Computer Engineering at the University of Saskatchewan.
Prof. Wahid has coauthored over 250 peer-reviewed journal and international conference papers in the areas of AI-enabled smart health, video surveillance and smart sensing, wireless capsule endoscopy, and the Internet of Things (IoT). He holds three patents. His research has been featured in both local and national Canadian media, including CBC, CTV, and Global.
His work has attracted over $10 million in research funding from major Canadian and international agencies, including NSERC, CFI, Western Economic Diversification (WED) Canada, Grand Challenges, and the Government of Saskatchewan. Dr. Wahid has served on multidisciplinary review panels for several national funding programs, including the New Frontiers in Research Fund (Exploration), NSERC Discovery, NSERC Idea to Innovation (I2I), and Mitacs. He has also served on the technical program and advisory committees of numerous IEEE-sponsored international conferences.
Dr. Wahid is a registered Professional Engineer in the Province of Saskatchewan. In addition to receiving the Award of Innovation in 2016, he has earned several prestigious awards and scholarships, including the Most Distinguished Killam Scholarship and the NSERC Canada Graduate Scholarship for his doctoral research.
