Dr. Padmanabhan (Peter) Santhanam is currently Program Director, Open AI Technology Advocacy at the IBM T. J. Watson Research Center, New York.  In addition to supporting the AI Alliance, he has been working to enable AI in various US government agencies. He holds a Ph.D. in Applied Physics from Yale University.  He has published more than 50 peer-reviewed research papers in wide range of topics in physics, software engineering, and artificial intelligence.  Recently, he coauthored the book, “Beyond Algorithms: Delivering AI for Business.” He is a Member of the ACM, the AAAI, and a Life Senior Member of the IEEE. 

Jason M. Grant, Ph.D. is an Assistant Professor of Computing Sciences at Villanova University. His research interests include biometrics and computer vision. Dr. Grant earned his B.S. from the University of Maryland, Baltimore County, and currently serves as the president of the Chapter of Meyerhoff Alumni and its governing board. He completed his M.S. and Ph.D. at the University of Notre Dame and previously taught at Middlebury College. An advocate for diversity and inclusion in STEM, Dr. Grant has chaired the AAAI Undergraduate Consortium since 2023. He has also been a keynote speaker, panelist, and program committee member for several conferences, including the ACM Richard Tapia Celebration of Diversity in Computing and Supercomputing. In his free time, he enjoys playing the piano, photography, exercising, and spending time with his dog, Winter.

Dr. Leon Deligiannidis is a full professor and interim dean of the School of Computing and Data Science at Wentworth Institute of Technology. His foundation in Computer Science was first established when he earned his B.S. from Northeastern University College of Computer Science. He then went on to obtain two advanced degrees in the field from Tufts University. He has been active in the field since then, investigating subjects like Security Surveillance, Brain Computer Interfaces, Business-oriented visualizations, and STEM Education. He has also served in industrial positions outside the scope of his academic work, using his acumen for several companies. His industry experience includes both entrepreneur startups in healthcare and high-tech networking companies. He has received multiple awards for his efforts, including multiple Achievement Awards for his contributions to Imaging Science by the World Congress in Computer Science, Computer Engineering, and Applied Computing, IEEE best paper awards, as well as a University Presidential award for his scholarly achievements. In addition, he has served as a referee for many journals in computer science and is a member of the program and organizing committees for notable conferences in his field. Dr. Deligiannidis teaches courses such as Security, Operating Systems, Quantum Computing for Security, System/Network Administration, Senior Design.

Ying Li is a seasoned product leader with extensive experience in building and scaling AI-driven products. As a Product Lead at Meta, Ying has led the development of transformative AI systems, including privacy-preserving frameworks, large-scale recommendation infrastructures, and AI-powered conversational platforms. Over the past eight years, Ying's work has shaped innovative solutions in AdTech, messaging, e-commerce, and FinTech, influencing the adoption of ethical and scalable AI practices across industries. Ying’s expertise spans natural language processing (NLP), computer vision, deep learning, and reinforcement learning, with a focus on integrating these technologies to create impactful user experiences and scalable infrastructures. At Amazon, Ying drove the development of groundbreaking visual search tools, such as “Shop The Look,” setting new industry benchmarks. At Yahoo Finance, she built an AI-powered multi-faceted search engine, democratizing access to financial insights for millions of users. With a strong foundation in both technical expertise, user experience, and business acumen, Ying bridges the gap between emerging AI technologies and real-world applications, driving innovation that transforms products and industries.

Mehmet Ergezer holds a Doctor of Engineering degree from the Department of Electrical and Computer Engineering at Cleveland State University, Cleveland, OH. He is an Associate Professor of Computing and Data Science at Wentworth Institute of Technology in Boston, MA with interest in embedded systems and computational intelligence. He has co-authored publications on artificial intelligence and computer science education and holds consumer electronics patents in the USA and Europe. Along with technical competencies, Dr. Ergezer is also focused on increasing undergraduate students' intercultural competence and led a semester-long study abroad in Berlin, Germany, and held the leadership role in broadening participation in AI as the co-founder/co-chair for AAAI Undergraduate Consortium.

Alvand Vahediahmar is a PhD student in Computer Science at Drexel University, specializing in ethical AI systems, adversarial robustness, and algorithmic fairness. His research explores the vulnerabilities of deep learning models to adversarial attacks and their societal impact. He has also researched algorithmic fairness and robustness, aiming to develop fair and resilient AI systems for real-world applications.

Rohan Kulkarni is a software professional with over 3 years of experience, specializing in Privacy and Security. With a Master’s in Computer Science from Stony Brook University and currently working at Meta, he is at the forefront of implementing complex access management systems along with optimizing business tool functionality. Driven by digital ethics, Rohan believes in creating secure digital environments that empower users while protecting their privacy. In addition to his professional work, he enjoys mentoring students and professionals.

Ibukun Folajimi is pursuing a Bachelor of Science in Computer Science at Wentworth Institute of Technology. His academic excellence is evident with a perfect 4.0 GPA, placing him on the Dean's List. He is proficient in programming languages such as Java and Python, and skillful in MySQL, data structures, discrete mathematics, and network programming. He graduated from Boston Latin Academy (BLA), where he worked for his professor and provided guidance for fellow students as a Mathematics Tutor. As a Virtual Reality Club Coordinator at BLA, he demonstrated leadership and organizational skills, particularly in managing activities related to Virtual Reality (VR). Driven by a passion for artificial intelligence, Ibukun aspires to become an AI researcher, and in demonstrating early promise in this field, he has achieved the significant milestone of having his first poster accepted for presentation at the 39th Annual AAAI Conference on Artificial Intelligence (AAAI-25).