COMPSAC 2025 Panel Sessions
Innovative Perspectives: Crafting Intelligent Systems for a Multifaceted World
As intelligent systems become increasingly integral to our lives, ensuring they are designed with inclusivity and fairness in mind is crucial. This panel will explore how varied experiences and perspectives drive innovation, foster ethical AI, and ultimately shape a more accessible future.
Our panelists will discuss the unique challenges and opportunities involved in creating intelligent systems that cater to diverse user needs, respect cultural nuances, and prevent biases that can unintentionally arise in algorithmic decision-making. Drawing from their own experiences, they will share insights on the critical role that different backgrounds, disciplines, and viewpoints play in developing ethical, accessible, and socially responsible technologies.
Attendees will gain a deeper understanding of how inclusive approaches can serve as a foundation for more robust and impactful intelligent systems. We will also outline practical strategies for implementing responsible design practices, building multidisciplinary teams, and fostering an environment where innovation thrives for all. Join us as we explore how equitable innovation is key to harnessing the full potential of intelligent systems and creating a future that benefits everyone.
Harnessing the Power of Intelligent Systems with Public Safety Technologies to Shape the Future
Public Safety is a key imperative that affects all of us, notable this year from the wildfires in California and Colorado, recent airplane disasters, and active shooters.
Public Safety per se is not considered a technology; it comprises all the various technologies that can and do contribute to public safety needs. These range from, but are not limited to communications and networking, edge and cloud computing, digital twins, IoT, blockchain, AI and machine learning, intelligent data, and augmented and virtual reality. All aspects can be attributed to technology megatrends and their predictions.
This panel’s emphasis will be upon presenting practical applications and their implementation. panelist speakers will comment on current and past implementations – all towards development for a better future.
IEEE Future Directions launched this initiative on public safety technology.
Panelists
Dr. Ming Hou is a Principal Scientist at Defence Research and Development Canada. He is responsible for delivering cutting-edge technological solutions, science-based advice, and evidence-based policy recommendations on AI and Autonomy science, technology, and innovation strategies to senior decision makers within the Department of National Defence (DND), Canada and the Canadian Armed Forces as well as their national and international partner organizations. His influential book: “Intelligent Adaptive Systems: An Interaction-Centered Design Perspective” has guided the development of a number of international defence capabilities, industry AI-enabled disruptive technologies, international standards for Remotely Piloted Aircraft Systems, and the United Nations White Paper on “Human-Machine Interfaces in Autonomous Weapon Systems: Consideration for Human Control”. Dr. Hou is the recipient of the most prestigious DND Science and Technology Excellence Award in 2020 and the President’s Achievement Award of the Professional Institute of the Public Service of Canada in 2021. He is an IEEE Fellow, Distinguished Lecture, the General Chair of the 2024 IEEE International Conference on Human-Machine Systems and the International Defence Excellence and Security Symposium, and the recipient of Outstanding Contribution Award in 2024. Dr. Hou is also an Adjunct Professor at the University of Toronto and University of Calgary. https://www.linkedin.com/in/ming-hou-7b12158/
Dejan Milojicic is an HPE Fellow and VP at Hewlett Packard Labs, Milpitas, CA [1998-present]. Previously, he worked at the OSF Research Institute, Cambridge, MA [1994-1998] and Institute “Mihajlo Pupin”, Belgrade, Serbia [1983-1991]. He received his Ph.D. from the University of Kaiserslautern, Germany (1993); and his MSc/BSc from Belgrade University, Serbia (1983/86). His research interests include systems software, distributed computing, systems management, and HPC. Dejan has over 250 papers, 2 books, and 92 granted and 63 pending patents. Dejan is an IEEE Fellow (2010), ACM Distinguished Engineer (2008), and HKN and USENIX member. Dejan was on 9 Ph.D. thesis committees, and he mentored over 80 interns. Dejan was president of the IEEE Computer Society (2014), an IEEE presidential candidate in 2019, editor-in-chief of IEEE Computing Now and Distributed Systems Online and he has served on many editorial boards and TPCs. Dejan led large industry-government-university collaborations, such as Open Cirrus (2007-2011) and New Operating System (2014-2017). https://www.linkedin.com/in/dejanm/
May Dongmei Wang is a Wallace H. Coulter Distinguished Faculty Fellow and full professor of Biomedical Engineering, Electrical and Computer Engineering, Computational Science and Engineering at Georgia Institute of Technology (GT) and Emory University (EU). She is Director of Biomedical Big Data Initiative, Georgia Distinguished Cancer Scholar, Petit Institute Faculty Fellow, Kavli Fellow, AIMBE Fellow, IAMBE Fellow, IEEE Fellow, and Board of Directors of American Board of AI in Medicine. Her research is in Biomedical Big Data with AI-Driven Intelligent Reality (IR) for predictive, personalized, and precision health (pHealth). She has 20+ years academic professorship and ~4 years industrial research experience, published 290+ articles in referred journals and conference proceedings with 15,000+ Google Scholar citations, and delivered 280+ invited and keynote lectures. Dr. Wang received BEng from Tsinghua University China, and MS with PhD degrees from GT. She is a recipient of GT Outstanding Faculty Mentor for Undergrad Research Award, and EU MilliPub Award (for a high-impact paper that is cited over 1,000 times). At Georgia Tech, Dr. Wang is in 2022 President Leading Women Program and 2021 Provost Emerging Leaders Program. Before 2016, Dr. Wang was Director of Bioinformatics and Biocomputing Core in NIH/NCI-sponsored U54 Center for Cancer Nanotechnology Excellence, and Co-Director of GT Center of Bio-Imaging Mass Spectrometry for over 10 years. Dr. Wang is the Senior Editor for IEEE Journal of Biomedical & Health Informatics (J-BHI, Impact Factor 7.02), an Associate Editor for IEEE Transactions for BME and IEEE Reviews for BME, a panelist for NIH CDMA (Clinical Data Management and Analysis) Study Section, NSF Smart and Connect Health, Brain Canada every year. She organized IEEE-JBHI Special Issue on AI-driven Informatics, Sensing, Imaging and Big Data Analytics for Fighting the COVID-19 Pandemic. Dr. Wang has chaired IEEE Biomedical and Health Informatics (BHI) community and ACM Special Interest Group in Bioinformatics. Currently, Dr. Wang serves in both IEEE Future Directions Committee and International Academy of Medical and Biological Engineering (IAMBE) Executive Committee and is IEEE-Engineering in Medicine and Biology Society (IEEE-EMBS) Vice President.
Dr. Wang’s research has been supported by NIH, NSF, CDC, VA, Georgia Research Alliance, Georgia Cancer Coalition, Shriners’ Hospitals for Children, Children’s Health Care of Atlanta, Enduring Heart Foundation, Coulter Foundation, Imlay Foundation, Microsoft Research, HP, UCB, and Amazon. https://www.linkedin.com/in/may-dongmei-wang-8491379/
Kathy Grise, Senior Program Director – IEEE Future Directions, supports new and emerging initiatives, including cloud computing, big data, digital realities, AI/ML, digital twins, digital transformation, and public safety, supports IEEE Future Directions, and manages the digital presence team for Future Directions. Kathy serves as the Technical Program Chair of the IEEE COMPSAC 2025 Symposium – Data Sciences, Analytics, & Technologies (DSAT). Kathy received the 2024 IEEE Eric Herz Outstanding Staff Award, the highest recognition for a staff member. Prior to joining the IEEE staff, Kathy held numerous positions at IBM, and most recently was a Senior Engineering Manager for Process Design Kit Enablement in the IBM Semiconductor Research and Development Center. Kathy led the overall IT infrastructure implementation, and software development in support of semiconductor device modeling verification, packaging, and delivery; device measurement and characterization data collection and management, and automation for device modeling engineers. Kathy is a graduate of Washington and Jefferson College, and an IEEE Senior member. https://www.linkedin.com/in/kathygrise/
