UMBC Computer Science and Electrical Engineering Department

10/09/2026

Prof. Ellen Simpson will talk at the next AI in Practice online series on Constructing Contextual Transparency: A Database Method for Understanding Recruiting AI in Practice, 12-12:45pm Wed. Oct. 14 https://ctei.jhu.edu/ai-in-practice-a-webinar-speaker-series/

10/02/2026

A free online workshop at 10-11 am ET on Sat., Oct. 17, covers the shift from static prompts to dynamic, decision-making AI agents. Concrete examples using Python & ReACT will show how to build systems that can think, act, and adapt. https://ai.umbc.edu/news/post/163371/

09/29/2026

UMBC NSF-funded online program in Spring 2027 on AI + High-Performance Computing + Atmospheric Sciences for grad students, postdocs & junior faculty from US institutions. Includes instruction plus faculty-guided project research. https://ai.umbc.edu/news/post/163445

09/28/2026

Over 1/3 of entry-level job postings and 1/2 of all tech roles call for AI skills. Join this session with a panel of student alumni and industry partners to explore the rise of AI, its growing role in the workplace, and how classroom lessons drive career success. More info & register at https://bit.ly/3TsCSik

09/22/2026

UMBC Campus Portal Architect Collier Jones describes how he crunched the numbers in his 2025–2026 myUMBC report. He'll cover how AI tools helped parse search query behavior, evaluate search response times, and categorize topics. 12-1pm Thurs. Sept. 24 in ENGR 102 and online https://ai.umbc.edu/news/post/163177/

09/21/2026

Christiana Chamon Garcia, Ph.D. presents an uncertainty-aware, physics-informed perspective on sensor trust, combining stochastic modeling, system constraints, multimodal fusion, & machine learning to judge if a measurement is unusual, plausible explanations, and if a discrepancy can lead to a security or safety problem. 1–2pm, Friday, Sept. 25, online https://cybersecurity.umbc.edu/home/news/post/163114/

09/20/2026

Our economy is shifting from routine tasks to work requiring judgment, autonomy, collaboration, and accountability. AI is speeding the transition while exposing gaps in how we educate, hire, and develop people. In this talk in the AI in Practice series, David Long gives a practical way to understand the changes and how institutions can help. 12-12:35pm ET Wed. Sept 23. online https://ai.umbc.edu/news/post/163095/

09/16/2026

AIhub published an interview with UMBC PhD student Yash Saxena about his research focused on how AI systems use external knowledge. His IKnowFlow system traces how evidence moves from its original source documents to the final AI-generated claims. Prof. Manas Gaur advises Yash in the KAI2 Lab. https://ai.umbc.edu/news/post/162884/

09/04/2026

🎉 Please join us in celebrating the generosity of Akshay Java, M.S. ’03, Ph.D. ’08, computer science, and the Java-Rijhwani family, who recently established the COEIT Computing for Social Good Award, to be given annually to one or more students in the College of Engineering and Information Technology (COEIT) who have conducted substantial research with the goal of harnessing technology to make positive social change.

Read more at umbc.edu/stories/computing-for-social-good-award.

09/03/2026

UMBC CSEE PhD student Roy Dipta was the Career Center's Intern of the Week. "What I've loved most about my time at Amazon Alexa AI is getting to push the boundaries of agentic LLM reasoning alongside brilliant mentors." Read more about Roy and his two summer internships working on AI at Amazon here.

Name: Shubhashis Roy Dipta Pronouns: He/him Semester of Internship: Summer 2026 Major: Computer Science (Ph.D.) Current Class Level: Doctoral Student This semester I...