Thursday, March 12
12 – 6:30pm EST
Alter Hall
Unite across disciplines at our inaugural symposium to bridge silos, spark AI collaborations, and launch interdisciplinary research initiatives.
Video by motionstock from Pixabay

Photo by Cash Macanaya on Unsplash
About
AI
Data Science
Machine Learning
The inaugural Data Science & AI @Temple Symposium is a campus-wide, grassroots initiative designed to bring together researchers from across schools and disciplines who are using—or interested in using—data science, machine learning, and AI in their scholarship. This symposium is hosted by the DS-AI@temple network, an active group of faculty from different colleges and schools across Temple.
Our goal is simple: help Temple researchers learn about each other’s work, connect across silos, and launch new collaborations that lead to shared workshops, research initiatives, interdisciplinary teams, and competitive large-scale grant proposals.
- Date: March 12, 2026
- Time: 12:00 PM – 6:30 PM
- Location: Alter Hall (Fox School), MBA Commons 7th Floor
Whether you are building AI models, working with large datasets, developing new methods, studying the impacts of AI, or exploring opportunities to integrate AI into your research program—this event is for you.
Registration is free and required for planning food, seating, and poster space.
Agenda
Tentative schedule; subject to change.
12:00
Networking Lunch
Meet researchers from across Temple and explore shared interests.
1:00
Opening Remarks
Conference welcome, goals, and overview of the day.
1:15
Panel Discussion: Compute Resources at Temple
A practical discussion on research compute, storage, access, and scaling AI-enabled research across campus.
- Moderator: Larry Brandolph, Vice President for Information Technology and University Privacy
- Zoran Obradovic, College of Science and Technology, Laura H. Carnell Professor
- Sergei Pond, College of Science and Technology, Associate Dean for Research and Innovation
- Erica Golemis, Lewis Katz School of Medicine, Senior Associate Dean of Research
- Edo Airoldi, Fox School of Business and Management, Chair
- Josh Gladden, Vice President for Research
2:15
Faculty Research Lightning Talks (Session 1)*
Nine (9) x 5-minute talks highlighting current research, methods, and collaboration needs.
3:00
Coffee Break
Informal networking and cross-school introductions.
3:30
Faculty Research Lightning Talks (Session 2)*
Ten (10) x 5-minute talks featuring additional faculty perspectives and research areas.
4:30
Panel Discussion: Collaboration Initiatives
How we can build cross-school working groups, shared research programs, joint workshops, and grant teams.
- Moderator: Richard Souvenir, Vice Provost for Strategic Initiatives
- Joe Lucia, Dean of Libraries
- Dustin Kidd, College of Liberal Arts, Professor
- Glenn Stephen Gerhard, Joseph and Rebecca Goodfriend Endowed Chair
- Miguel Mostafá, College of Science and Technology, Dean
5:15
Poster Session + Reception (Faculty & PhD Students)
Showcase ongoing projects, meet potential collaborators, and build momentum for new research teams.
*Lightning Talks Speakers
| School | Name | Level |
|---|---|---|
| Tyler School of Art and Architecture | Josh Caplan | Associate Professor of Research |
| Fox School of Business | Subodha Kumar | Paul R. Anderson Professor |
| Maurice H. Kornberg School of Dentistry | Jay Sureshbhai Patel | Assistant Professor |
| College of Education and Human Development | Di Liu | Associate Professor of Instruction |
| College of Engineering | Andrew Spence | Professor |
| Beasley School of Law | Laura Bingham | Practice Professor of Law |
| Lew Klein College of Media and Communication | Andrew Iliadis | Associate Professor |
| School of Pharmacy | Usha Sambamoorthi | |
| Christopher M. Barnett College of Public Health | Huanmei Wu | Professor |
| College of Science and Technology | Xinghua Mindy Shi | Associate Professor |
| School of Sport, Tourism and Hospitality Management | Lu Lu | Associate Professor |
| Lewis Katz School of Medicine | Jinha Lee | Assistant Professor |
Registration is free and required for planning food, seating, and poster space.
Call for Posters (Faculty & PhD Students)
- AI and machine learning research
- Data science methods and applications
- Interdisciplinary research projects
- Early-stage ideas seeking collaborators
- Tools, datasets, or platforms enabling research
Please submit the title and abstract of your poster presentation by Friday, February 27.
Symposium Organizing Committee
Konstantin Bauman
Co-chair
Fox School of Business

Rob Kulathinal
Co-chair
College of Science and Technology

Andrew Iliadis
Klein College of Media and Communication

Shiv Hiremath
College of Public Health

Marcus Bingenheimer
College of Liberal Arts

Sunil Wattal
Advisory Chair
Fox School of Business

Sponsors
Office of Vice President for Research | Fox School of Business | Institute for Business and Information Technology
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