Longtao Xu
B.S. (Wuhan University of Technology, China)
M.S. (Hunan University, China)
Ph.D. in Applied Mathematics and Statistics (AMS) (Fall 2024 - current)
Research interests: Continual/Lifelong Learning, Foundation Models
B.S. (University of Kansas)
M.S. (University of Southern California)
Ph.D. in Computer Science (CS) (Spring 2025 - current)
Research interests: Explainable AI and Large Language Models (LLMs)
National Defense Science and Engineering Graduate Fellowship (NDSEG Fellow) [SBU News]
SUNY Graduate Student Empowering and Accelerating Talent (GREAT) Award 2025 [SBU News]
Research Intern at Air Force Research Laboratory (AFRL), Summer 2025
Yanhang Shi
B.S. (Nanjing University of Posts and Telecommunications, China)
M.S. (Nanjing University of Posts and Telecommunications, China)
Ph.D. in Electrical and Computer Engineering (ECE) (Spring 2025 - current)
Research interests: Learning augmented NextG networked systems, Multimodal Learning
Ziyi Zhang
B.S. (Wuhan University, China)
M.S. (Wuhan University, China)
Ph.D. in Computer Science (CS) (Fall 2025 - current)
Research interests:
Qinbo Zhang
B.S. (Wuhan University, China)
M.S. (Wuhan University, China)
Ph.D. in Computer Science (CS) (Fall 2025 - current)
Research interests:
Shaoang Li
Ph.D. in Computer Science and Engineering (University of Science and Technology of China)
Postdoc (Fall 2024 - current)
Research interests: Multi-armed Bandits, Reinforcement Learning, Large Language Models (LLMs)
Nicholas Smirnov
B.S. in Computer Science, and Applied Mathematics and Statistics
Research interests: Stochastic optimization/Zeroth-order optimization in NextG wireless networks
Shufan Wang (Ph.D. in Data Science, Stony Brook University, 09/2019-12/2024; the Excellence in Research Award in Data Science; Summer Research Intern at AT&T Labs - Research; First Position: Machine Learning Engineer, TikTok)
Guojun Xiong (Ph.D. in Data Science, Stony Brook University, 01/2021-08/2024; the Excellence in Research Award in Data Science; Summer Research Intern at Mitsubishi Electric Research Laboratories (MERL); First Position: Postdoctoral Fellow at Harvard University)
Gang Yan (Ph.D. in Computer Engineering, SUNY-Binghamton, 01/2020-12/2023; the Excellence in Research Award in Computer Engineering; Summer Research Intern at AT&T Labs - Research; First Position: Postdoc at UC Merced; Current: Full Professor, Jilin University, China; the Science Fund Program for Excellent Young Scientists (Overseas) (海外优青))
Jia Chen (MS, May 2025; now Software Engineer at Juniper Networks)
Alex Lake (MEng, May 2023; now at Northrop Grumman)
Connor Lynch (MEng, May 2023; now at Northrop Grumman)
Andrew Benner (MEng, August 2023; Scholar of The Strategic Partnership for Industrial Resurgence (SPIR) Program; now at L3Harris Inc.)
Zezhang Yang (MS, May 2022; Scholar of SPIR Program; now a Ph.D. student at Washington University at St. Louis)
Marcus Bachu (MEng, May 2022; now at StreamSets Inc.)
Jeet Sanjay Swadia (MEng, May 2021; now at Tata Consultancy Services)
David T. Oladunjoye (MEng, May 2021; Ronald E. McNair Scholar*; now at Qualcomm Inc.)
He Cheng (M.S., May 2020; now a Ph.D. student at Utah State University)
Yuangao Peng (MEng, May 2020)
Liam Gameng (B.S. in AMS/Honors College, Honors Thesis, Stony Brook University, 01/2024-12/2024, now a Ph.D. student at Rutgers University)
Kaixuan Liu (B.S. in AMS, Stony Brook University, 09/2023-12/2024, now a Ph.D. student at Emory University)
Wanyun Si (B.S. in AMS, Stony Brook University, 01/2024-12/2024, now a MS student at University of Wisconsin-Madison)
Sicong Leng (2022-2023)
Michael Ma (2022-2023)
Raffi Molina (2022-2023)
Felix Zeng (2022-2023)
John Tiburzi (2021-2022)
Andrew Benner (2021-2022)
John DePetro (2021-2022)
Michael Esquivel (2021-2022)
Benjamin Picone (2021)
Dylan J. Roney (2020-2021)
Michael Feinberg (2020-2021)
Hongrui Li (2020-2021)
Johnny Toscano (2020-2021)
Jonathan Milongo Kazadi (Summer 2020, Ronald E. McNair Scholar*)
Josue Lopez (Summer 2020, Ronald E. McNair Scholar*)
Alexandre Niehoff (2020)
*Ronald E. McNair Achievement Summer Program is designed to help low-income, first-generation college, and historically underrepresented minority students prepare for graduate school and future careers as professors and researchers.