Organizers
Organizers
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Ali AlShami (aalshami@uccs.edu) - Personal Website – Linkedin – Google Scholar
University of Colorado, Colorado Springs
Ali AlShami is a Ph.D. candidate and graduate research assistant with over six years of experience in Deep Learning, Computer Vision, Natural Language Processing, and predictive modeling. He earned his Master's in Computer Science from the University of Colorado, Colorado Springs, in 2021 and immediately began his Ph.D. studies after receiving a scholarship. His research focuses on recognizing and predicting human motion, trajectory, and behavior in videos, Explainable Artificial Intelligence (XAI), Open-Set Recognition, and Open-World Learning.
Ali AlShami is a Ph.D. candidate and graduate research assistant with over six years of experience in Deep Learning, Computer Vision, Natural Language Processing, and predictive modeling. He earned his Master's in Computer Science from the University of Colorado, Colorado Springs, in 2021 and immediately began his Ph.D. studies after receiving a scholarship. His research focuses on recognizing and predicting human motion, trajectory, and behavior in videos, Explainable Artificial Intelligence (XAI), Open-Set Recognition, and Open-World Learning.
Ryan Rabinowitz (rrabinow@uccs.edu) - Linkedin – Google Scholar
University of Colorado, Colorado Springs
Ryan Rabinowitz holds a Bachelor of Innovation ('20) and MEng ('23) in Cybersecurity from the University of Colorado, Colorado Springs. He is pursuing a PhD in Computer Science (expected 2025) with a focus on Open-set Recognition in image and video data. He has participated in multiple funded research efforts and has co-authored multiple peer-reviewed papers in Few-Shot Class Incremental Learning (FSCIL), Bitcoin Network Attacks, and Open-set Recognition.
Ryan Rabinowitz holds a Bachelor of Innovation ('20) and MEng ('23) in Cybersecurity from the University of Colorado, Colorado Springs. He is pursuing a PhD in Computer Science (expected 2025) with a focus on Open-set Recognition in image and video data. He has participated in multiple funded research efforts and has co-authored multiple peer-reviewed papers in Few-Shot Class Incremental Learning (FSCIL), Bitcoin Network Attacks, and Open-set Recognition.
NEC Laboratories, America
NEC Laboratories, America
Abhishek Aich is a Researcher at NEC Laboratories, America, in San Jose, CA. He received his Ph.D. degree in Electrical and Computer Engineering from the University of California, Riverside, in 2023. His current expertise includes the following areas: open-vocab perception, and efficiency in vision transformers.
Abhishek Aich is a Researcher at NEC Laboratories, America, in San Jose, CA. He received his Ph.D. degree in Electrical and Computer Engineering from the University of California, Riverside, in 2023. His current expertise includes the following areas: open-vocab perception, and efficiency in vision transformers.
Amazon AGI
Amazon AGI
Samuel Schulter is a Senior Researcher at Amazon AGI. Before joining Amazon, he was a Research Scientist at NEC Laboratories, America. He received his PhD from Graz University of Technology under the supervision of Horst Bischof. Visual perception is his main area of expertise, with a current focus on the synergy between vision and language to better model the rich and complex semantics of objects.
Samuel Schulter is a Senior Researcher at Amazon AGI. Before joining Amazon, he was a Research Scientist at NEC Laboratories, America. He received his PhD from Graz University of Technology under the supervision of Horst Bischof. Visual perception is his main area of expertise, with a current focus on the synergy between vision and language to better model the rich and complex semantics of objects.
University of Colorado, Colorado Springs
Jugal Kalita received his BTech in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur, in 1982, followed by an MSc in Computational Science from the University of Saskatchewan in 1984. He then received his MS and PhD in Computer Science from the University of Pennsylvania in 1988 and 1990, respectively. Dr. Kalita has been a professor at the University of Colorado, Colorado Springs, since 1990. His expertise lies in Natural Language Processing, Machine Learning including Deep Learning, and applications of Machine Learning to biological and security problems. He has supervised over 125 undergraduates in research, and has graduated over 100 MS students and 25 PhD students. Currently, he is the Chair of the Department of Computer Science at UCCS.
Terrance E. Boult - Personal Website - Linkedin – Google Scholar
University of Colorado, Colorado Springs
Terrance E. Boult received a B.S. degree in applied mathematics, an M.S. degree in computer science, and a Ph.D. degree in computer science from Columbia University, New York, NY, USA, in 1983, 1984, and 1986, respectively. He is a Distinguished Professor and the El Pomar Endowed Professor of Innovation and Security with the University of Colorado Colorado Springs (UCCS), Colorado Springs, CO, USA, as well as being an IEEE Fellow, a serial entrepreneur and an internationally acknowledged researcher in machine learning, computer vision, biometrics, and cybersecurity with 20 patents issued, and 400+ papers. He spent six years as an Assistant Professor and two years as an Associate Professor with the CS Department at Columbia University. He moved from Columbia to Lehigh, Bethlehem, PA, USA, working there from 1994 to 2003. At Lehigh, he was an endowed professor, and he eventually founded Lehigh’s CS Department. In 2003, he joined UCCS as an El Pomar Professor. Dr. Boult has won multiple teaching awards, research/innovation awards, best paper awards, best reviewer awards, and IEEE service awards. He is a member of the IEEE Golden Core, has been an IEEE Distinguished Lecturer, and in 2017, became an IEEE Fellow. He was a Co-Founder of the Computer Vision Foundation and very active in organizing/managing Computer Vision conferences. On the education side, he is the Founder, Primary Architect, and Co-Director of the world’s first and only Bachelor of Innovation Family of Degrees at UCCS. This family of degrees combines a core of innovation and entrepreneurship with a significant multiyear “team emphasis” and all the rigor of bachelor degrees in their fields, serving more than 600 students per year across 22 different majors spanning four colleges.
Terrance E. Boult received a B.S. degree in applied mathematics, an M.S. degree in computer science, and a Ph.D. degree in computer science from Columbia University, New York, NY, USA, in 1983, 1984, and 1986, respectively. He is a Distinguished Professor and the El Pomar Endowed Professor of Innovation and Security with the University of Colorado Colorado Springs (UCCS), Colorado Springs, CO, USA, as well as being an IEEE Fellow, a serial entrepreneur and an internationally acknowledged researcher in machine learning, computer vision, biometrics, and cybersecurity with 20 patents issued, and 400+ papers. He spent six years as an Assistant Professor and two years as an Associate Professor with the CS Department at Columbia University. He moved from Columbia to Lehigh, Bethlehem, PA, USA, working there from 1994 to 2003. At Lehigh, he was an endowed professor, and he eventually founded Lehigh’s CS Department. In 2003, he joined UCCS as an El Pomar Professor. Dr. Boult has won multiple teaching awards, research/innovation awards, best paper awards, best reviewer awards, and IEEE service awards. He is a member of the IEEE Golden Core, has been an IEEE Distinguished Lecturer, and in 2017, became an IEEE Fellow. He was a Co-Founder of the Computer Vision Foundation and very active in organizing/managing Computer Vision conferences. On the education side, he is the Founder, Primary Architect, and Co-Director of the world’s first and only Bachelor of Innovation Family of Degrees at UCCS. This family of degrees combines a core of innovation and entrepreneurship with a significant multiyear “team emphasis” and all the rigor of bachelor degrees in their fields, serving more than 600 students per year across 22 different majors spanning four colleges.
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