Fall 2025 Newsletter

                Welcome to our Department newsletter, highlighting department activities and student success.

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                       Kean University Offers New Jersey's First

                             Undergraduate AI Degree Program

 

B.S. in Artificial Intelligence Degree Launched

Students at Kean University now have the opportunity to earn an undergraduate degree in Artificial Intelligence. Kean is the first university in New Jersey and one of the few across the United States to offer this innovative major, which launched this fall. 

   
The B.S. AI major in the Department of Computer Science and Technology emphasizes both theoretical concepts and practical skills essential for careers in AI. The curriculum features coursework in machine learning, data science, deep learning, and responsible AI development.  To quote Kean's President, Lamont O. Repollet, Ed.D., “We are evolving both what we teach and how we teach it to prepare our students for a world where technology, creativity, and human ingenuity work hand in hand.”

 

Kean Faculty Attend Google's GenAI Consortium

Google’s GenAI Summit was held in San Diego, CA in August 2025. Dr. Kuan Huang attended, representing the Computing Alliance of Hispanic Serving Institutions (CAHSI)'s North Region, and Kean's Department of Computer Science & Technology. The national GenAI Summit focused on integrating generative AI into computer science education, especially in foundational courses such as programming languages, to strengthen curricula and enhance student learning. Further national collaboration is expected for all faculty in the future.

 

 

As part of the fall series on career and internship preparation, Kean's student chapter of the ACM hosted a presentation by CrowdStrike, an AI powered cybersecurity firm. Attending (left to right) are Anthony Bayate, Jr (CS '26), Matthew McAbee (CrowdStrike Manager of Incident Response), Maryam Ahmed (ACM President, CS Data Science '26) and David Feldman (CrowdStrike Intelligence Analyst).  

Charting New Frontiers

Announcing the PhD in Computer Science

 

Kean's Department of Computer and Technology has launched a Ph.D. in Computer Science degree, available for students in Fall 2025. The first cohort is off to a great start!  The Ph.D. joins the M.S. Computer Science as a research-focused program, designed to address the national need for research innovation and teaching excellence.  
Building on Kean's undergraduate research engagement and faculty mentoring expertise, graduate students are following a cohort model and receive faculty mentoring in both research and teaching methodology.   

                                                  Take the next step in your tech journey and apply!

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                                          Welcome to the Team!

                   New Computer Science and Technology Faculty

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Dr. Boyang Li Research Topics  Dr. Li’s research focus on AI Safety, Privacy Protection, and Blockchain. Before joining Kean, he worked at Meta as an AI Research Scientist on the AI track. He received M.S. in Nanoelectronics from the University of Southampton (UK) and a Ph.D. degree in Computer Science and Engineering from the University of Notre Dame (US).

Dr. Zimeng “Simone” Lyu Research Topics Dr. Lyu’s research focuses on leveraging AI to address complex data science challenges. Her work includes time series forecasting for the stock market, predictive maintenance in the energy industry, deploying AI applications on edge devices, and advancing real-time forecasting methods. Dr. Lyu earned her PhD in Computing and Information Science from Rochester Institute of Technology.

 

 

 

 

 

 

 

 

 

Dr. Yan Ma Research Topics Dr. Ma’s research focuses on AI-powered interaction techniques and accessibility, particularly by using large language models (LLMs) to help individuals with disabilities interact more effectively with digital devices. She also works on VR/AR-based interactions. Dr. Ma received her Ph.D. in Computer Science from Stony Brook University.

Dr. Guanghua “Lucas” Wang Research Topics Dr. Wang’s research focuses on natural language processing, text summarization, large language models (LLMs) in data science, and multimodal summarization. Before joining Kean, he earned the M.S. and Ph.D. degrees from the Department of Computer Science at The University of Texas at Dallas.