CIS Research Areas
CIS Research Areas
The Department of Computer and Information Sciences (CS) excels in innovative research, education, and technology transfer. Our research missions transcend the public and private sectors and advance the future of software, hardware and computing. Specific areas of research and associated faculties and labs are noted below.
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Thaier Hayajneh
University Professor
Degree: PhD, University of PittsburghResearch Area(s):
- Applied Cryptography
- Network Security and Privacy
Md Zakirul Alam Bhuiuan
Assistant Professor
Degree: PhD, Central South University, ChinaResearch Area(s):
- Dependability
- Cyber Security
- Big Data
- Cloud Computing
- Internet of Things
Mohamed Rahouti
Assistant Professor
Degree: PhD, University of South FloridaResearch Area(s):
- Computer Networking and Networking Security
- Secure and Resilient Software Defined Networking-Enabled Applications for Smart Cities
- Networked Emergency Response Systems
Juntao Chen
Assistant Professor
Degree: PhD, New York UniversityResearch Area(s):
- Game and Decision Theory for Cybersecurity
- Secure and Resilient Socio-Cyber-Physical Systems
- Optimization and Machine Learning for Complex Networked Systems
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David S. L. Wei
Professor
Degree: PhD, University of PennsylvaniaResearch Area(s):
- Parallel and Distributed Computing
- Mobile Computing
- Networking
Xiaolan Zhang
Chair & Associate Professor
Degree: PhD, University of Massachusetts, 2007Research Area(s):
- Computer Networks and Distributed Systems
Ying Mao
Assistant Professor
Degree: PhD, University of Massachusetts Boston- Cloud Computing
- Virtualization
- Data-Intensive Systems
- High Performance Computing
- Resource Management for Machine Learning Algorithms
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Damian Lyons
Professor and Director of Computer Science PhD Program
Degree: PhD, University of Massachusetts
Research Area(s):- Computer vision for Virtual and Augmented Reality Interfaces
- Target Tracking and Behavior Recognition in Automated Video Surveillance and in Camera-based User Interfaces
- Formal Analysis of Behavior for Robotic Systems Operating in Unstructured Environments
- Integration of Planning and Reaction in Robotic Systems
Gary Weiss
Professor and Program Director of M.S. Computer Science (MSCS)
Degree: PhD, Rutgers University
Research Area(s):- Artificial Intelligence
- Machine Learning
- Data Mining
Yanjun Li
Associate Professor, Associate Chair for Undergraduate Studies (Rose Hill)
Degree: PhD, Wright State University
Research Area(s):- Text Mining
- Ontology
- Information Retrieval
- Data Mining and Knowledge Discovery
- Parallel and Distributed Computing
- Bioinformatics Analysis
Yijun Zhao
Assistant Professor and Program Director of M.S. Data Analytics (MSDA)
Degree: PhD, Tufts University
Research Area(s):- Machine Learning
- Data Mining
- Statistical Pattern Recognition
- Algorithms
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Frank Hsu
Clavius Distinguished Professor of Sciences and Professor of Computer and Information Science
Degree: PhD, University of Michigan
Research Area(s):- Information Fusion
- Graph Theory and Combinatorial Problems
- Parallel Algorithms and Architectures
- Interconnection Networks for Massively Parallel Computer Systems
- Communication Networks and VLSI Designs
- Telecommunication Network Design and Optimization
Ruhul Amin
Assistant Professor
Degree: PhD, Stony Brook University
Research Area(s):- Data Science
- Interpretibility in Machine Learning
- NLP for Low-Resource Lanugages
- Human Computer Interaction
- Bioinformatics
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Sanchuan Chen
Assistant Professor
Degree: PhD, The Ohio State University
Research Area(s):- Software Security
- Programming Lanugages
- Binary Analysis
- Trusted Execution Environment
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Arthur G. Werschulz
Professor Emeritus
Degree: PhD, Carnegie-Mellon University
Research Area(s):- Information-Based Complexity (the complexity of partial differential equations and integral equations)
Tadeusz Strzemecki
Assistant Professor and Associate Chair for Undergraduate Studies LC
Degree: PhD, Stevens Institute of Technology
Research Area(s):- Design and Analysis of Algorithms
- Computational Complexity
- Theory of Computation
- Information-Based Complexity (the complexity of partial differential equations and integral equations)
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Daniel Leeds
Associate Professor and Director of Integrative Neuroscience Program
Degree: PhD, Carnegie-Mellon University
Research Area(s):- Computational Principles of Perception
- Statistical Analysis of Brain Data
- Computer Vision
- Machine Learning
Ruhul Amin
Assistant Professor
Degree: PhD, Stony Brook University
Research Area(s):- Sequence Alignment Algorithms
- Machine Learning in Bioinformatics
- Health Informatics
- Pandemic Modeling
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David T. K. Chen
Associate Professor
Degree: Ph.D., Erlangen-Nuremberg (Germany)
Research Area(s): Database systems, object-oriented design, software engineering (software reuse), software reliability, quality and security.Frank Hsu
Clavius Distinguished Professor of Science and Professor of Computer and Information Science
Degree: Ph.D., University of Michigan
Research Area(s): Interconnection networks for massively parallel computer systems, communication networks and VLSI designs, parallel algorithms and architectures, telecommunication network design and optimization, graph theory and combinatorial problems.Daniel Leeds
Assistant Professor
Degree: Ph.D., Carnegie Mellon University
Research Area(s): Computational principles of perception, statistical analysis of brain data, computer vision, machine learningYanjun Li
Associate Professor
Degree: Ph.D., Wright State University
Research Area(s): My research interests include Text Mining, Data Mining and Knowledge Discovery, Ontology, Information Retrieval, Bioinformatics Analysis, Parallel and Distributed Computing.Damian Lyons
Professor
Degree: Ph.D., University of Massachusetts
Research Area(s): Target tracking and behavior recognition in Automated Video Surveillance and in Camera-based User Interfaces. Computer vision for Virtual and Augmented Reality Interfaces. Formal analysis of behavior for robotic systems operating in unstructured environments. Integration of planning and reaction in robotic systems.Robert K. Moniot
Associate Professor
Degree: Ph.D. (Physics), University of California, Berkeley; MS (Computer Science), New York University
Research Area(s): Accelerator-based mass spectrometry of radioisotopes, applied to archeology, geophysics and meteoritics. Scale-space and equation-error minimization approaches to problems in image reconstruction and solution of partial differential equations. Analysis of computer ethics issues.Tadeusz Strzemecki
Assistant Professor
Degree: Ph.D., Stevens Institute of Technology
Research Area(s): Design and Analysis of Algorithms, Computational Complexity, Complexity of Algorithms, Theory of Computation.David S. L. Wei
Professor
Degree: Ph.D., University of Pennsylvania
Research Area(s): Parallel and Distributed Computing, Mobile Computing, and Networking.Gary M. Weiss
Associate Professor and Director of the MS Program in Computer Science
Degree: Ph.D., Rutgers University
Research Area(s): My primary research focus are in the area of machine learning and data mining. More generally, I am interested in all areas of artificial intelligence. Currently I am working on methods for improving data mining methods by better handling real-world considerations (e.g., highly skewed class distributions). In the past I have done research on expert systems and object-oriented programming.Arthur G. Werschulz
Professor Emeritus
Degree: Ph.D., Carnegie-Mellon University
Research Area(s): My research area is information-based complexity, which deals with the complexity of problems for which the available information is partial, possibly contaminated by error, and priced. I am especially interested in the complexity of partial differential equations and integral equations.Xiaolan Zhang
Associate Professor
Degree: Ph.D., University of Massachusetts, 2007
Research Area(s): My primary research focus is in the area of computer networks and distributed systems. In particular, I am interested in studying challenged networks such as Disruption Tolerant Networks from the aspects of performance modeling of epidemic style routing, and modeling studies of real mobility traces.