The mission of the Artificial Intelligence (AI) Academy is to establish a premier hub for cross-disciplinary and global collaboration in AI research, teaching, and application. This initiative positions Seton Hall University as a center of excellence in artificial intelligence, driving innovation and impact across disciplines.
As AI continues to reshape industries, the AI Academy embraces these disruptions as opportunities. It equips faculty and students with cutting-edge skills that align with current, emerging, and future market demands.
By bringing together faculty from the College of Arts and Sciences, Stillman School of Business, School of Health and Medical Sciences and beyond, the AI Academy enhances student learning and career pathways in AI and related fields. It strengthens academic programs in Business Analytics, Computer Science, Data Science, and FinTech while fostering interdisciplinary projects that address real-world challenges in supply chain management, machine learning, ethics, ESG (Environmental, Social, and Governance), finance and public health.
- Primary Objectives
- Proposals for new certificate programs, including:
- Artificial Intelligence Certificate at Seton Hall University
- Creation and curation of more courses in Artificial Intelligence across the curricula,
including:
- Machine Learning in Social Sciences
- Supporting the development, execution, publications, and external grant applications
of related scholarly projects. Examples of projects include:
- Transmitting the Power of Conversational AI to Advancing Public Mental Health
- AI in Network Analysis
- Using Machine Learning to Examine Financial Issues
- Utilizing AI for Water Quality Management and Climate Change Mitigation
- Developing Domain-specific languages for extensible constraint-based logic programming
- Applications of AI/machine learning in ESG research
- Police Legitimacy: Understanding Police Behavior and Decision-Making Through Machine Learning
- Proposal to cultivate corporate partners, apply for grants, and coordinate cross-disciplinary curricula
- Consulting services available: contact: Susan Scherreik, at [email protected]
- Proposals for new certificate programs, including:
- Faculty
The faculty for AI Academy come from academic departments across the entire University, teaching across the disciplines in the rapidly growing and impactful fields of machine learning and artificial intelligence.
President and Chair of the Board of Trustees: Sina Shokoohyar, Ph.D.
Founder and Vice Chair of the Board of Trustees: Hongfei Frank Tang, Ph.D., CFA
Trustee and Vice President for Curriculum: Penina Orenstein, Ph.D.
Trustee and Director for Coursework: Viswa Viswanathan, Ph.D.
Trustee and Director for Program Design: Jason Hemann, Ph.D.
Vice President for Scholarship: Xiaoqing Eleanor Xu, Ph.D., CFA
Vice President for Services and Advancement: Tinchun Tina Chu, Ph.D.
Director for Data Services: Eric Rosenberg, Ph.D.
Director for Disruptive Technology: Hsin-Yi (Lucy) Lin, Ph.D.
Director for Consulting and Proposal Development: Susan Scherreik, M.B.A.
Director for Relationship Building and Outreach: Matthew Hale, Ph.D.
Director for External Grant Application: Juan A. Rios, D.S.W., LCSW
Secretary: Luye Li, Ph.D.
Treasurer: Yu-An Chen, Ph.D. - AI Academy Members
AI Academy Featured on Podcast
In this episode of the "Faculty Matters" podcast, AI Academy members Sina Shokoohyar, assistant professor of Computing and Decision Sciences; Jason Hemann, assistant professor of Computer Science; Hongfei Tang, professor of Finance; and Viswa Viswanathan, professor of Computing and Decision Sciences, discuss the Academy’s goals and work to date. This interdisciplinary initiative is focused on curriculum development, research and grant opportunities related to generative AI.