UMBC Campus Life will hold workshops on Ethical Leadership in the Age of AI on Tuesday, April 8, 2025, in Commons 331. The workshop is aimed at students, but faculty and staff are welcome to attend as well. To accommodate schedules, the 90-minute workshop will be held starting at 10 am, Noon, and 2 pm.

The workshop will address what it means to engage with AI systems in an increasingly digital world and cover the principles of ethical leadership, AI challenges and governance, ethical dilemmas with AI, and more.

UMBC alumnus Jason Grant ('10, computer engineering) served as the Undergraduate Consortium Co-Chair at the 2025 AAAI Conference held in Philadelphia in the last week of February. Joining him in the committee were UMBC faculty Patricia Ordóñez (IS) and Rebecca Williams (CSEE).  UMBC alumnus Kendall Queen ('16, computer engineering) who is a software engineer at Asylon Robotics, gave the keynote talk at the Undergraduate Consortium event.

The picture shows UMBC people Manus Gaur, Gerald Ndawula, Rebecca Williams; Kendal Queen; and Jason Grant who were part of the event.

Mechanical engineering Ph.D. student Md Badrul Hasan received the 2025 Professor Kirti “Karman” Ghia Memorial Award from the American Institute of Aeronautics and Astronautics for his research modeling the fluid flow inside hurricanes with physics-informed machine learning. 

The award recognizes an international graduate student in the U.S. who has developed an innovative approach to computational fluid dynamics, in which computers are used to analyze and predict how fluids flow, with applications in aerospace engineering, weather forecasting, and more. 

Hasan and his UMBC mentors—Meilin Yu, mechanical engineering, and Tim Oates, computer science and electrical engineering—looked at the layer of atmosphere in a hurricane that is directly above the ocean surface. Called the hurricane boundary layer, it is where turbulent flows bring heat and moisture from the water into the air, and it plays a crucial role in determining a hurricane’s intensity and track.

Hasan says he is grateful for the guidance of Professor Oates in selecting and understanding the machine learning models. “It was a great team effort between mechanical engineering and computer science—really productive and rewarding for both sides,” he says.