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• Developed course ETDD 4369: Artificial Intelligence/Machine Learning for Engineers 1 (First such course in the Department of Engineering Technology) for Summer 2026. The course guides undergrad senior students in using core AI/ML techniques (introductory) to engineering situations. Students will learn how to and when to use AI/ML tools for problem solving

• Wang, Jing, Syed Hasib Akhter Faruqui, Adel Alaeddini, Yan Du, Shiyu Li, Yijiong Yang, and Kumar Sharma. "Human-in-the-Loop AI Digital Twin to Extend Virtual Precision Diabetes Care Between Visits: Results From a Randomized Clinical Trial." (Accepted in npj Health Systems).

• Arif, Redwanul Islam, Mohammod Akib Khan, Syed Hasib Akhter Faruqui, and Sahidul Islam. "Enabling Parameter-Efficient Multi-Tasking via Multi-Head Architecture for Edge Device Deployment." (2026). (Best Track Paper (Track 3: Neural Architecture) in Artificial Super Intelligence Conference 2026 at Kennesaw State University).

• Served as panelist for “Want to Know How Your Colleagues Are Using AI?”, a university-wide TLC panel on AI use in teaching, ethical AI pedagogy, and AI tool demonstrations, 2025.

• PI, “AI Writing for Communities: Advancing Workforce Readiness and Community Partnerships at ¸£Àû¼§,” New Faculty Program Grant, ¸£Àû¼§, 2026, funded for $5,000.
  • Supported the development of ENGL 3331: AI Writing for Communities, integrating AI-supported writing, workforce readiness, and community-based learning.

• Tang, Y., & Chen, J. Forthcoming 2026. “Exploring Student Collaboration with AI in Technical and Professional Communication: Ethical and Innovative Practices.” Accepted for publication in Communication Design Quarterly.

Invited keynote speaker at HSCJIT Conference at College of Criminal Justice ​​

Served as PI on funded AI grant from Charles Butt Foundation ($70,000)