Generative Intelligent Computing (GIC) Lab

I'm fortunate to work with a group of highly talented & motivated students and researchers.

Ph.D. Students

Muhammad Alahmadi

Muhammad Alahmadi

Research Interest: Improving Data-Centric Reliability for Scalable AI Systems

M.S.: North Carolina State University, USA

B.S.: King Fahd University of Petroleum and Minerals (Second Honors), Saudi Arabia

Li-Chia (Jerry) Chang

Li-Chia (Jerry) Chang

Research Interest: Engineering Efficient Embodied AI for Adaptive Intelligent Systems

M.S.: North Carolina State University, USA

B.S.: National Chi Nan University, Taiwan

Bowen (Berwin) Chen

Bowen (Berwin) Chen

co-advised with Drs. Roy He and Paul Liu

Research Interest: Advancing Generative Models for Environmental Intelligence

M.S.: University of Birmingham, United Kingdom

B.S.: Hohai University, China

Vignes KV

Vignes KV

PhD independent study; co-advised with Dr. Yang Zhang

Research Interest: Enhancing Generative Models for Super-Resolution Image Denoising

M.S.: North Carolina State University, USA

B.S.: North Carolina State University (University Honors Program Scholar), USA

Feifei Qiao

Feifei Qiao

PhD independent study

Research Interest: Enhancing Reliability of Agentic AI under Distribution Shifts

M.S.: Tongji University, China

B.S.: Chongqing University of Posts and Telecommunications, China

Lunxiao (Claude) Li

Lunxiao (Claude) Li

PhD independent study

Research Interest: Improving Token Efficiency for Scalable Agentic AI Systems

B.S.: University of California, Santa Cruz, USA

Travis Thompson

Travis Thompson

Research Interest: Advancing Reliable Foundation Models for Scientific Discovery

B.S.: Auburn University (Undergraduate Research Fellow), USA

Benyamin T. Tabarsi

Benyamin T. Tabarsi

co-advised with Dr. Tiffany Barnes

Research Interest: Developing Trustworthy AI Agents for Personalized Learning

M.S.: Science and Research Branch of Azad University, Iran

B.S.: University of Mazanadran, Iran

Master Students

Harsh Mauny

Harsh Mauny

co-advised with Dr. Joey Huang

Research Interest: Co-Designing AI and Human Collaboration for Artistic Creation

B.S.: Sardar Vallabhbhai Patel Institute of Technology, India

Deepak Sai Pendyala

Deepak Sai Pendyala

co-advised with Dr. Yaroslava G. Yingling

Research Interest: Advancing Trustworthy and Explainable Agentic AI for Materials Science

B.S.: Sardar Vallabhbhai Patel Institute of Technology, India

Shreyas Visweshwaran

Shreyas Visweshwaran

co-advised with Dr. Tiffany Barnes

Research Interest: Developing Trustworthy AI Agents for Personalized Learning

B.S.: Amrita Vishwa Vidyapeetham, India

Undergraduate Students

Aditya Basarkar

Aditya Basarkar

Research Interest: Driving AI-Powered Complex Mathematical Reasoning

B.S.: North Carolina State University (Dean's List, GPA: 3.974), USA

Majors: B.S. in Computer Science, B.S. in Statistics

Noah (Precious) Donkor

Noah (Precious) Donkor

Research Interest: Unveiling and Mitigating Implicit Bias in Generative AI Models

B.S.: North Carolina State University (GPA: 3.9), USA

Achievements: Federal Work-Study Award, NC State COE REU Award

Publication: AAAI 2025 Undergraduate Consortium

Alumni

Zhiyuan Jerry PengPostdoc, 2023-2024 → Meta

Topic: Transforming Tool-Augmented Large Language Models

Shengkun TangPhD, 2023-2023 → MBZUAI

Topic: Optimizing Multi-Modal Foundation Models

Chengyuan LiuPhD, 2022-2024 → MetLife

Topic: Streamlining Data-Efficient LLMs for Education

Nitya Naga Sai AtluriMaster, 2024-2025

Topic: Revealing Implicit Bias in LLM-Generated Educational Materials

Xinyuan (Teddy) ChenMaster, 2024-2025

Topic: Assessing Trustworthiness in LLMs

Homak PatelMaster, 2024-2025

Topic: Elevating Retrieval-Augmented Generation for Education

John ZhuMaster, 2023-2024 → NC State

Topic: Evaluating Trustworthiness in LLMs

Zihan (Z) DongUndergraduate, 2023-2024 → Georgia Tech

Topic: Building Reliable Large Language Models for Education

Bowen LeiIntern, 2022-2024 → Apple

Topic: Exploring Theoretical Foundations of Efficient Learning

Zhengdong ZhangIntern, 2023-2024 → Amazon

Topic: Designing Reliable Large Language Models for Education

Binfeng XuIntern, 2023-2024 → Samsung

Topic: Revolutionizing Tool-Augmented Large Language Models