The Computer Science and Engineering faculty and staff pride themselves on serving our students and their families both in and out of the classroom.
Professor Agostinelli's research involves designing new artificial intelligence algorithms and applying these algorithms to problems in the sciences. His research interests include deep learning, reinforcement learning, and search. He is an assistant professor of computer science at the AI Institute at the University of South Carolina.
Robert Bailey teaches various undergraduate courses.
Professor Bakos's research interests involve computer architecture at the circuit level, micro-architectural level, and system level. This includes VLSI design, design automation, system-level interconnects, reconfigurable computing and high-performance computing.
Professor Farkas’ research interests include information security, data inference problem, financial and legal analysis of cyber crime, and security and privacy on the Semantic Web.
Professor Fenner's research interests are in the core theoretical foundations of computing, computability and computational complexity, especially quantum computing and information.
Dr. Fiedler has a joint appointment in the Darla Moore School of Business and Computer Science and Engineering. Currently, his research interests include technology innovation, knowledge management, privacy, ethics and risk.
William Hoskins teaches various undergraduate courses.
Professor Hu's research interests are in the areas of machine learning, deep learning, data mining, big data, evolutionary computation and their applications in bioinformatics, material informatics, and health informatics. His research has been sponsored by NSF, NIH, Nvidia, and the South Carolina Department of Transportation. Currently, his major research focus is developing deep learning algotrithms for solving challenging application problems.
Professor Huang's research interests include network security, network protocol design and verification, and distributed systems. His current research focuses on intrusion detection and wireless network security.
Professor Jamshidi's research involves developing theories in Causal AI and Statistical ML and applies the theories to solve problems in Computer Systems, Robot Learning, and Software Engineering. He is, in particular, interested in Causal Representation Learning, Transfer Learning, Reinforcement Learning, ML Security/Explainability, and ML for Systems.
Neema Kanapala teaches various undergraduate courses.
Rasha Karakchi teaches various undergraduate courses. Her research interests are in heterogeneous computing and re-configurability.
Jeremy Lewis teaches various undergraduate courses.
Professor Narayanan's research interest includes Dynamical Systems and Networks - Modeling and data-integrated approaches for dynamical systems, Data Science and Learning Theory - Data analysis and dynamic learning, Computational Neuroscience - Modeling and stimulation of neural ensembles
Professor Nelakuditi's research interests are in the areas of mobile computing, wireless networking, and Internet routing.
Christian's main interests are related to better understanding the brain across spatial and temporal scales in order to address complex neurodevelopmental issues such as autism and other neurodevelopmental disorders.
James O'Reilly teaches various undergraduate courses.
Portia Plante teaches various undergraduate courses.
Professor Rekleitis's research interests are mobile robotics, space robotics, multi-robot systems, sensor networks, artificial intelligence, computer vision and image processing, computational geometry, and computer graphics.
Dr. Jeremiah Shepherd is the instructor in charge of our CSCE 145 and 146 classes.
Professor Sheth's current interests include Artificial Intelligence (esp. knowledge graphs, NLP, deep learning, knowledge-enhanced learning, conversational AI- esp chatbots for health and education), Semantic Web, Physical/IoT-Cyber-Social-Clinical Big Data, Augmented Personalized Health, AI and Big Data applications (in health and life sciences, social good, disaster management, etc.).
Professor Srivastava is a professor of computer science at the AI Institute at the University of South Carolina. His research explores new approaches for goal-oriented, ethical, human-machine collaboration via natural interfaces using domain and user models, learning, and planning.
Professor Sur's research interests are in the areas of Wireless Systems and Architectures, Millimeter-Wave Communications and Networks, Internet of Things Connectivity and Sensing Systems. Ph.D., University of Wisconsin-Madison (2018) B.E., Indian Institute of Engineering Science and Technology (2011) Research Professor Sur's research interests are in the areas of Wireless Systems and Architectures, Millimeter-Wave Communications and Networks, Internet of Things Connectivity and Sensing Systems.
Professor Thatcher's research examines the strategic and economic impacts of information technology (IT) with a focus on four themes: IT value, software patent policy design, IT offshoring, and the social costs of information privacy.
Professor Tong's research interests focus on computer vision and pattern recognition especially on human computer interaction including but not limited to affective computing (facial activity analysis and eye gaze tracking).
Dr. Valafar's research activities fall into two broad categories: computational medicine and computational biology.
Professor Valtorta's research interests are in the areas of normative reasoning under uncertainty (especially Bayesian networks, influence diagrams, and their use in multiagent systems), heuristics for problem solving, and computational complexity in artificial intelligence.
Juan Vargas is an adjunct professor of computer science and engineering at the University of South Carolina.
Professor Vidal's research interests are in the area of multiagent systems. On the theoretical side he is interested in developing systems that coordinate and aggregate the actions of large number of autonomous agents.
Professor Zand's research interests involve Hardware Design for Machine Learning Systems, Neuromorphic Computing, Emerging Nanoscale Electronics including spintronic devices, Reconfigurable and Adaptive Computer Architectures, and Low-Power and Reliability-Aware VLSI Circuits.
Professor Zhang's interest is in artificial intelligence and reinforcement learning. He is an assistant professor of computer science at the AI Institute at the University of South Carolina.
Distinguished Professor Emeritus
Distinguished Professor Emeritus
Chair Emeritus, NCR Chair in Computer Science and Engineering
Distinguished Professor Emeritus
Distinguished Professor Emerita
Distinguished Professor Emeritus
Distinguished Professor Emeritus
Professor Emeritus