About
Digital Twins:
Bridging the Physical and Digital Realms.
A digital twin is a dynamic, virtual representation of a physical object or system. It uses real-time data, simulations, and machine learning algorithms to understand, predict, and optimize functions for better performance. From manufacturing equipment to entire cities and even human physiology, digital twins can be applied across various sectors.
Dr. Pu Wang
Principal Investigator – Computer Science Professor
Dr. Ahmed Helmy
Associate Dean for Research – Computer Science Department
Dr. Liyue Fan
Computer Science Professor
Dr. Srijan Das
Computer Science Professor
Dr. Pu Wang
Principal Investigator
Biography Pu Wang received B.Eng degree in Electrical Engineering from Beijing Institute of Technology, China, in 2003, and M.Eng degree in Electrical and Computer Engineering from Memorial University of Newfoundland , Canada, in 2008. He received the Ph.D. degree in Electrical and Computer Engineering from the Georgia Institute of Technology, Atlanta, GA, in August 2013, under the guidance of Professor Ian F. Akyildiz. Currently, he is an Associate Professor with the Department of Computer Science at the University of North Carolina at Charlotte . Prior to joining UNCC, he was an assistant professor with Department of Electrical Engineering and Computer Science at Wichita State University from 2013 to 2017. His current research interests focus on deep learning and reinforcement learning, with applications in smart sensing, networking, computer vision, Internet of Things, and Cyber-Physical Systems.
Dr. Ahmed Helmy
Associate Dean for Research
Dr. Ahmed Helmy is a distinguished academic with a rich background in computer science and electrical engineering. He holds a Ph.D. in Computer Science (’99) and an M.S. in Electrical Engineering (’95) from the University of Southern California (USC), as well as an M.S. in Engineering Mathematics (’94) and a B.S. in Electrical Engineering (’92) from Cairo University. Dr. Helmy played a significant role in developing the IP multicast Internet standard PIM and Network Simulator NS-2 at USC/ISI. Currently, he serves as the Associate Dean for Research at the College of Computing & Informatics at the University of North Carolina, Charlotte. His previous positions include Professor and Graduate Director at the University of Florida’s CISE Department and Professor in the EE Department at USC, where he established labs focused on Wireless Sensor Networks and Protocol Testing. Dr. Helmy’s research encompasses wireless networks, mobility modeling, multicast protocols, and network simulation. He has led multiple NSF-funded projects and received grants from various organizations, including Intel, Cisco, and NASA. He has earned numerous awards, including the NSF CAREER Award, several best paper awards at prestigious ACM and IEEE conferences, and recognition as a Fellow of the IEEE and a Distinguished Scientist of the ACM.
Dr. Liyue Fan
Senior Personnel – Computer Science Department
Dr. Liyue Fan is an Assistant Professor in Computer Science in the College of Computing and Informatics at the University of North Carolina at Charlotte. Her research is at the intersection of data privacy and spatio-temporal databases (see list of publications here). She was named one of the “Rising Stars in EECS” by MIT in 2015. Prior to joining UNC Charlotte, Dr. Fan was an Assistant Professor in Information Technology Management at University at Albany. She spent two years as a postdoc research associate in the Integrated Media System Center at University of Southern California, under the supervision of Prof. Cyrus Shahabi. She received a Ph.D. in Computer Science & Informatics from Emory University (with Prof. Li Xiong) and a B.S.in Mathematics from Zhejiang University (a Chu Kochen ACEE alumna). Dr. Fan serves the professional community as a PC member for SIGMOD, KDD, ICDM, AAAI, SIGSPATIAL, etc., and as a reviewer for many high impact journals, such as TKDE, TIST, TIFS, TMC, DAPD, and Computer & Security.
Dr. Srijan Das
Senior Personnel – Computer Science Department
I am an Assistant Professor in the Department of Computer Science at the University of North Carolina at Charlotte. At UNC Charlotte, I am working on Video Representation Learning, and Robotic Vision. I am a member of the Charlotte Machine Learning Lab (CharMLab) at UNC Charlotte. Before this, I was a Postdoctoral Associate at Stony Brook University under the supervision of Michael Ryoo. In 2020, I completed my Ph.D. in Computer Science at INRIA, Sophia Antipolis, France under the supervision of Francois Bremond and Monique Thonnat. My Ph.D. thesis is on ¨Spatio-temporal attention mechanisms for Action Recognition¨ and click here to watch my Defense Presentation. I did my Post-Grad in Computer Science from the National Institute of Technology (NIT), Rourkela.
Cutting Edge AI:
Leveraging AI Technologies
Generative Adversarial Networks (GANs):
A class of artificial intelligence algorithms that use two neural networks, one generating data and the other evaluating it, to produce high-quality synthetic data.
Physics-Informed Machine Learning:
Physics-Informed Machine Learning integrates principles of physics into machine learning models, ensuring that predictions adhere to established physical laws. This enhances the accuracy and interpretability of models, especially in science and engineering.
Large Language Models and Assistive Robots:
Advanced AI models trained on vast amounts of text to understand and generate human-like text based on the input. Assistive robots leverage AI to aid in tasks, enhancing healthcare outcomes and providing insights and guidance.