Rate My Professor Gita Alaghband

Her research specializes in parallel processing and distributed systems, high-performance computation, computer architectures, operating systems simulation, performance evaluation, sparse matrices, and applications of AI and machine learning in computer vision, including real-time multi-human tracking, facial recognition and generation, and deep learning optimization. Notable publications include the book "Fundamentals of Parallel Processing" (Prentice Hall, 2002, with Harry F. Jordan); "Deep curriculum learning optimization" (SN Computer Science, 2020, with H. Ghebrechristos); "AOL: Adaptive Online Learning for Human Trajectory Prediction in Dynamic Video Scenes" (BMVC 2020, with M. Huynh); and "Novel parallel method for association rule mining on multi-core shared memory systems" (Parallel Computing, 2014, with L. Vu). Alaghband has earned awards such as the NSF Research Initiation Award (1996), College of Engineering Outstanding Faculty Award (1994), IEEE Computer Society Senior Member (2002), and University of Colorado Excellence in Leadership (2001–2002). She directs the Parallel Distributed Systems Lab, has supervised multiple PhD graduates now in academia and industry, and has led NSF grants including REACH and Bridge to Doctorate. Her service includes chairing university committees, curriculum revisions that doubled departmental enrollment, and editorial roles on the Journal of Computer and Software Engineering.