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Generative Intelligent Computing (GIC) Lab

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


Ph.D. Students
3DSP

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
3DSP

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
Personal Web [link]
3DSP

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
Personal Web [link]
3DSP

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
Personal Web [link]
3DSP

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
3DSP

Lunxiao (Claude) Li (PhD independent study)

Research Interest: Improving Token Efficiency for Scalable Agentic AI Systems
B.S.: University of California, Santa Cruz, USA
Personal Web [link]
3DSP

Travis Thompson

Research Interest: Advancing Reliable Foundation Models for Scientific Discovery
B.S.: Auburn University (Undergraduate Research Fellow), USA
Personal Web [link]
3DSP

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
Personal Web [link]

Undergraduate Students
3DSP

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
Personal Web [link]
3DSP

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: i) Federal Work-Study Award, ii) NC State COE REU Award
Publication: AAAI 2025 Undergraduate Consortium
Personal Web [link]

Master Students
3DSP

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
Personal Web [link]
3DSP

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
Personal Web [link]
3DSP

Shreyas Visweshwaran (co-advised with Dr. Tiffany Barnes)

Research Interest: Developing Trustworthy AI Agents for Personalized Learning
B.S.: Amrita Vishwa Vidyapeetham, India
Personal Web [link]

Alumni

  • Zhiyuan Jerry Peng, Postdoc, 2023-2024, now Meta
     Topic: Transforming Tool-Augmented Large Language Models

  • Shengkun Tang, PhD, 2023-2023, now MBZUAI
     Topic: Optimizing Multi-Modal Foundation Models

  • Chengyuan Liu, PhD, 2022-2024, now MetLife
     Topic: Streamlining Data-Efficient LLMs for Education

  • Nitya Naga Sai Atluri, Master, 2024-2025
     Topic: Revealing Implicit Bias in LLM-Generated Educational Materials

  • Xinyuan (Teddy) Chen, Master, 2024-2025
     Topic: Assessing Trustworthiness in LLMs

  • Homak Patel, Master, 2024-2025
     Topic: Elevating Retrieval-Augmented Generation for Education

  • John Zhu, Master, 2023-2024, now NC State
     Topic: Evaluating Trustworthiness in LLMs

  • Zihan (Z) Dong, Undergraduate, 2023-2024, now Georgia Tech
     Topic: Building Reliable Large Language Models for Education

  • Bowen Lei, Intern, 2022-2024, now Apple
     Topic: Exploring Theoretical Foundations of Efficient Learning

  • Zhengdong Zhang, Intern, 2023-2024, now Amazon
     Topic: Designing Reliable Large Language Models for Education

  • Binfeng Xu, Intern, 2023-2024, now Samsung
     Topic: Revolutionizing Tool-Augmented Large Language Models


*Last updated on 08/19/2025*