Manas Talukdar is a senior industry leader in enterprise AI and data infrastructure with nearly two decades of experience. He has made key contributions to the preeminent process data historian in the world. He has held leadership roles at multiple companies, building and leading organizations developing large-scale AI and Data products used globally. He is a senior member of IEEE, an AI senior fellow, and advisory member. He mentors startups and industry professionals, and often speaks at conferences. Manas has also been invited to judge prestigious industry awards and review technical publications. He has filed several patents in AI and Data. His contributions have been recognized through numerous honors, awards and invitations to join prestigious AI organizations.

Dr. Houda CHIHI is a PhD in Telecommunications and currently serves as a Senior Researcher at the Innov’COM Laboratory of Sup’COM Tunisia and a Senior Engineer at Tunisie Telecom. She is a TechWomen Fellow (2019), ICANN & IETF Fellow, and an active member of ISOC Tunisia, AUESG, and NCSG ICANN. Her research interests include wireless communication, signal processing, vehicular communication (V2X), green and mobile communication. Dr. CHIHI has taught at several leading engineering schools in Tunisia, including Sup’COM, ISET’COM, ESPRIT, and ISAMM. As a TechWomen Emerging Leader, she received leadership and technical training from top companies such as LinkedIn, Facebook, Salesforce, Twitter, and Symantec, and completed a professional mentorship at Qualcomm, California, focusing on 5G V2X and Wi-Fi 6 technologies. She is also an international speaker and trainer, as well as a reviewer for numerous IEEE conferences.

Kaya Kuru received the B.Sc. degree in Communication, Electronics and Information Systems & Forensic Sciences/Laws from National Defense University (Turkish Military Academy) (1993), the major/ADP degree in computer engineering from Middle East Technical University (METU) (1997), the M.B.A. degree from Selçuk University (1997), the M.Sc. (2002) and Ph.D. (2010) degrees in Computer Science from METU, and the Post Doctorate in medical decision-making from the School of Electronics and Computer Science, University of Southampton.

Adoley Azu leads Microsoft's Inclusive Research initiative within the Experiences and Devices Division. With over 25 years in policy, law, advocacy, and leadership, she develops strategies, tools, resources, and shared practices for product equity and inclusive research and advocates for fairness, transparency and harm mitigation in AI technologies. She partners across disciplines to create human-centered practices, experiences, initiatives, and strategies that drive transformative progress at the intersection of technology and equity,communicating and influencing diverse audiencesto ensure that research and design methods facilitate the development of globally usable and accessible,products and experiences that meet the needs of a broad range of users. Before joining Microsoft, Adoley Azu held several key positions including Program Director for Diversity Recruiting at IU Health, Program Director for Alternative Dispute Resolution and Compliance at the Indiana Civil Rights Commission, Affirmative Action Manager at Cummins Inc., and Justice of the High Court of Ghana. Adoley earned her Bachelor of Laws from the University of Ghana Legon, an LLM in Air & Space Law from McGill University, an LLM from Northwestern University’s Pritzker School of Law, and a Certificate in Management from the Kellogg School of Management. With experience in the public, private, and nonprofit sectors, she develops human-centered solutions to address core challenges. Whether in court tackling disparate treatment/outcomes, promoting inclusion in research and design, negotiating settlements, or influencing policy, Adoley comes to the table to listen, co-create, and develop fair and equitable solutions that remove barriersat the intersection of product development, global usability, and innovation.

Jiaxin Cai received his Ph.D. degree in Information and Computation Science from Sun Yat-Sen University in 2014. He also received his M.S. degree and B.Sc. degree in Bio-medical Engineering from Southern Medical University in 2011 and 2008 respectively. Currently, he is an associateprofessor in the School of Mathematics and Statistics at Xiamen University of Technology. He has authored over 38 peer-reviewed papers at academic journals and conferences. His current research interests include machine learning, computer vision and bio-medical engineering.