Curricula Vitae in Computer Science & Engineering

Name	Personal Focus	Summary
Forest Agostinelli Assistant Professor		Forest Agostinelli's research involves designing new artificial intelligence algorithms and applying these algorithms to problems in the sciences. Simultaneously, his research draws upon the sciences to provide inspiration for new artificial intelligence algorithms.
Robert Bailey Instructor		Robert Bailey is an Instructor in the Department of Computer Science and Engineering, College of Engineering and Computing. He earned a B.S.in Computer Science from the University of South Carolina and a M.S. in Computer Science from the University of South Carolina.
Dr. Jason Bakos Professor	heterogeneous computing, vlsi, computer architecture	My research interests involve computer architecture at the circuit-level, microarchitectural-level, and system-level. This includes VLSI design, computer aided design automation, chip-level and system-level networks/interconnects, reconfigurable computing, high-performance computing, optoelectronics, and integrated smart sensor technology.
Amitava Das Research Associate Professor		Since July 2022 Dr Amitava Das has been working as a Research Associate Professor at The Artificial Intelligence Institute (AIISC), University of South Carolina, USA. Earlier he set up an industry research lab from scratch Wipro AI – an industry research lab, in Bangalore, India, and is still associated with Wipro AI as an Advisory Scientist. At Wipro.
Natasha Delahunt Instructor		Natasha Delahunt is an Instructor in the Deparment of Computer Science and Engineering, College of Engineering and Computing.
Dr. Csilla Farkas Professor	Information assurance research, education, and outreach	Dr. Farkas research interests include information security, data inference problem, financial and legal analysis of cyber crime, and security and privacy on the Semantic Web. She is a recipient of the National Science Foundation Career award.
Dr. Stephen A Fenner Professor	Theory of computation, Quantum computing, Computational complexity theory	I am currently interested in quantum information and computation, especially the complexity theoretic aspects of the subject. More generally, my research is in computational complexity, including relationships between complexity classes, resource-bounded reductions, and the almost-all structure of complexity classes (resource-bounded measure and category).
Gregory Gay Assistant Professor	Search-Based Software Engineering, Automated Testing and Analysis	Dr. Gay's research is primarily in the areas of search-based software engineering and automated testing and analysis, with an emphasis on aspects of the test oracle program. His work, often involving aspects of data mining and optimization, strives to harness the information content of software development artifacts to improve the efficiency and quality of the testing process and to automate tasks in order to lessen the burden on human developers.
Brian Hipp Instructor		Brian Hipp is an Instructor in the Deparment of Computer Science and Engineering, College of Engineering and Computing.
William Henry Hoskins Instructor	collaborative project between the Psychology and Computer Science Departments diagnosing dyslexia	Working under Dr. Jijun Tang for the past 7 years has allowed me to get involved with many different research projects, some of which include the 3D Genome Viewer, Chinese Language Acquisition Game, and the Autism Test Bed. Each of these projects were, or are being, written in Unity3D, each posing their own set of challenges to overcome.Currently we are working on a collaborative project between the Psychology and Computer Science Departments diagnosing dyslexia and other reading deficits.
Dr. Jianjun Hu, PhD Professor	Deep learning, Machine Learning, Bioinformatics,Materials informatics, Big data, Data mining,Materials Genome, Neural Networks, Computational biology, Evolutionary computation, drug design	Professor Hu's research interests are in the area of machine learning, deep learning, big data, data mining, evolutionary computation, and their applications in bioinformatics, material informatics, biomedical informatics, and intelligent manufacturing. He is also interested in hybrid machine learning and evolutionary algorithms as well as automated evolutionary design
Dr. Chin-Tser Huang Professor	Network Security	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.
Dr. Pooyan Jamshidi Assistant Professor	Machine Learning, Artificial Intelligence, Software Engineering and Systems	My goal is to advance a scientific, principled understanding of machine learning systems, with an eye towards computer systems analysis (e.g., understanding their performance behavior, reasoning about qualities and making tradeoff) informed by careful empirical work. Naturally, I am also interested in connections among computer systems, machine learning, and software engineering.
Dr. Ramtin Mohammadizand Assistant Professor	Hardware Design for Machine Learning Systems, Neuromorphic Computing, Emerging Nanoscale Electronics including spintronic devices	Dr. 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.
Vignesh Narayanan Assistant Professor	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	Vignesh Narayanan is an Assistant Professor in the Department of Computer Science and Engineering, AI Institute, College of Engineering and Computing.
Dr. Srihari Nelakuditi Professor	Wireless Networking, Mobile Computing, Ineternet Availability	Professor Nelakuditi's research interests are in the broad area of Internet routing, wireless networking, and mobile computing. His current research focus is on making wired and wireless networks more resilient to failures/disruptions and more efficient in utilizing network resources.
Professor Christian O'Reilly Assistant Professor	novel ways to empower the study of neuroscience through AI, empower AI through biologically inspired neural networks	Christian O’Reilly received his B.Ing (electrical eng.; 2007), his M.Sc.A. (biomedical eng.; 2011), and his Ph.D. (biomedical eng.; 2012) from the École Polytechnique de Montréal where he worked under the mentoring of Pr. R. Plamondon to apply pattern recognition and machine learning to predict brain stroke risks. He was later a postdoctoral fellow in Pr. T. Nielsen’s laboratory at the Center for Advanced Research in Sleep Medicine of the Hôpital du Sacré-Coeur/Université de Montréal (2012-2014)
Professor Ioannis Rekleitis Associate Professor		Dr. Ioannis Rekleitis research interests are mobile robotics, space robotics, multi-robot systems, sensor networks, artificial intelligence, computer vision and image processing, computational geometry, computer graphics.
John Rose Professor	Bioinformatics, Datamining	I am an associate professor of computer science in the Department of Computer Science and Engineering at the University of South Carolina. My research interests are in the areas of bioinformatics, normative reasoning and planning, DAI and multiagent systems, and computational chemistry.
Dr. Jeremiah J Shepherd Instructor		Dr. Jeremiah J Shepherd is an Instructor in the Department of Computer Science and Engineering, College of Engineering and Computing.
Professor Amit Sheth Professor	Artificial Intelligence (esp. knowledge graphs, NLP, deep learning, knowledge-enhanced learning, conversational AI- esp chatbots for health and education)	Professor Sheth earned his Ph.D. from Ohio State University. He earned his M.S. from Ohio State University. He earned his B.E., (Hons) from BITS-Pilani, India.
Professor Biplav Srivastava Professor	Neuro-Symbolic Computing - AI techniques at the intersection of learning and (goal-based) reasoning, Collaborative Assistance - Computing methods for assisting people, Trusted AI - Automated rating, adversarial learning	Biplav Srivastava is a professor of computer science at the AI Institute at the University of South Carolina. Previously, he was at IBM for nearly two decades in the roles of a Research Scientist, Distinguished Data Scientist and Master Inventor. He is an ACM Distinguished Scientist, AAAI Senior Member, IEEE Senior Member and AAAS Leshner Fellow for Public Engagement on AI (2020-2021). He is interested in enabling people to make rational decisions despite real world complexities of poor data.
Professor Sanjib Sur Assistant Professor	Millimeter-wave and Terahertz Communications and Networks, Internet of Things Connectivity and Sensing Systems, Wireless Systems and Architectures	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.
Matt Thatcher Professor	IT Value, Software patent policy design, IT Offshoring, Social costs of information privacy	My 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.
Dr. Yan Tong Professor	Vision-based affective computing, Face Alignment, Spontaneous Facial Activity Modeling and Understanding	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); Statistical shape modeling and their applications in face image interpretation and medical image analysis; Probabilistic graphical models and their applications in computer vision including modeling, reasoning, information fusion, and learning under uncertainty.
Dr. Homayoun Valafar Professor	Computational biology, bioinformatics, and medical informatics, Protein folding, Protein/ligand and protein/protein interaction	Dr. Valafar is an Associate Professor in the Department of Computer Science and Engineering at the University of South Carolina. His main research interests are three broad areas of Computational Biology, Bioinformatics and Computational Medicine. More specifically, his current focus in on structure and dynamics of proteins, and development of Artificial Neural Network based clinical diagnostic tools.
Marco Valtorta Professor	Bayesian Networks, Graphical Probabilistic Models.	Dr. Valtorta's research is centered on knowledge based systems, evidential reasoning, heuristics, and computational complexity.
Dr. Jose M Vidal Professor	multiagent systems, game theory, economics	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. This is interdisciplinary work which straddles the boundaries of economics, algorithmic game theory, distributed algorithms, agent-based modelling, and the social sciences. On the practical side he is interested in the development of web applications and web services.
Dr. Song Wang Professor	Computer Vision, Image Processing, Medical imaging	Professor Wang's recent research focuses on developing computational algorithms and software tools for (1) understanding the natural images or image sequences by extracting perceptually salient structures, (2) constructing statistical shape models for 2D/3D anatomic structures, (3) automatically and/or interactively segmenting structures of interest from various MR and CT images, and (4) object detection and recognition.
Qi Zhang Assistant Professor	artificial intelligence and reinforcement learning, build safe, reliable, and trustworthy AI systems	Qi Zhang earned a Ph.D. from University of Michigan in 2020. He also earned a B.E. from Shanghai Jiao Tong University in 2015. His research interest is in artificial intelligence and reinforcement learning. The long-term goal of his research is to build safe, reliable, and trustworthy AI systems that retain their power and flexibility to handle complex, diverse contexts. To this end, he develops and analyzes decision making algorithms for uncertain, dynamic environments.