Meet our computing science faculty
Our M.S. in Computing has been named the No. 6 best online master’s in information tech1 for a reason. The faculty who teach our computing program are not only experienced professionals and awarded researchers, they are also committed educators. Additionally, they teach in our on-campus programs, but they’ve been recognized with a 97% score for student engagement specifically for their standout work in our online program by U.S. News & World Report.1
Our online students enjoy the benefits of faculty who are accessible and responsive, and who foster a constructive and rewarding virtual experience.
Sheikh Iqbal Ahamed
Sheikh Iqbal Ahamed is professor and chair at the Department of Computer Science and director of the Ubicomp Research Lab. He received his Ph.D. in Computer Science from Arizona State University in 2003 under the direction of Stephen S. Yau. Ahamed has a strong performance record in research, with a career record of over $1 million in external research funding. His current projects cover a number of state-of-the-art advances in medical computing and mobile computing.
Ahamed's research work focuses on building customized and innovative patient communication methods through technology, developing new and innovative approaches for health monitoring, pain management, mapping technologies, and activity monitoring for smartphones. He has worked with hospitals in the U.S. and internationally on a number of projects, as well as with leading healthcare companies in the healthcare industry. Ahamed has worked with a number of engineers, nurses and physicians on 20 healthcare grants over the past 13 years. Projects included work with cell phones, sensors, tablets, web applications and HIPAA-compliant cloud servers. His experience extends to working with patient populations in American Indian and Hispanic communities.
Tina Boyle Whyte
Tina Boyle Whyte is an adjunct professor who lists “Introduction to Computer Science,” “Introduction to Software Development,” and “Pedagogy of Computer Science” among her courses taught. Her research interests include talent pipeline in computer science and cybersecurity, as well as computer science education policy.
Dennis Brylow’s research interests span several areas of computing. His work primarily centers on building tools to help those who design, build or teach complex systems with particular focus on embedded, real-time and interrupt-driven systems; programming languages; and software engineering. In the past decade, he has been the principal investigator on just over $5 million of extramural grant funding from the National Science Foundation, Cisco, Google, Intel and other organizations.
He directs Marquette University's relationship with Code.org as the Regional Partner for Wisconsin.
Mumin Cebe is an assistant professor in the Department of Computer Science at Marquette University. His research areas are 5G security, blockchain and data security, security of the Internet of Things (IoT) and security for critical infrastructure networks. Mumin has been published in multiple publications, such as A Cost-efficient IoT Forensics Framework with Blockchain, IEE International Conference on Blockchain and Cryptocurrency, and Key Management Scheme for Low-Bandwidth Smart Grid Communications.
Keke Chen is a Northwestern Mutual Associate Professor. His coursework includes information retrieval, cloud computing, privacy-aware computing, data structures and algorithm design, and introduction to database systems. Keke’s research interests include AI and Data Science, Privacy and Security, as well as Distributed Systems. His published works include, “PrivateGraph: Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud," “Confidential Boosting with Random Linear Classifiers for Outsourced User-generated Data, and “SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications.”
Shion Guha is an assistant professor in the Department of Computer Science. He received the 2019 Way Klinger Young Scholar Award for his work in helping organizations better manage social and public policy issues that impact marginalized populations. Alongside colleagues, he is working towards improving the development of Milwaukee and other similar settings in the United States. His research interests include algorithmic biases, social networks, privacy, computational social science and HCI for Development. Guha has published multiple works, including, “Safety vs Surveillance: What Children Have to Say about Mobile Apps for Parental Control,” and “Supporting Accurate Interpretation of Self-Administered Medical Test Results for Mobile Health: Assessment of Design, Demographics, and Health Condition.” Listed among his courses taught are “Introduction to Data Science,” “Advanced Data Science,” and “Social and Ethical Implications of Data.”
Niharika Jain is an adjunct assistant professor in the Department of Computer Science. Her research interests include affective computing, data analysis, machine learning and mHealth. Some of her published works include, “Predicting PTSD Severity in Veterans from Self-reports for Early Intervention: A Machine Learning Approach. Information Reuse and Integration for Data Science,” and “Have It, Know It, but Don’t Show It: Examining Physiological Arousal, Anxiety, and Facial Expressions over the Course of a Social Skills Intervention for Autistic Adolescents.” She teaches “Data Structures,” “Object-oriented Software Design,” “Introduction to Software Development,” “Introduction to Computer Science,” “Nature of Mathematics,” “Calculus Courses,” and “Elementary Statistics.”
Thomas Kaczmarek is the director and adjunct assistant professor of the Master of Science: Computing program. Joining Marquette in 2010, Dr. Kaczmarek has created the Center for Cyber Security Awareness and Cyber Defense at Marquette University and launched the MU contribution to the $40 million Northwestern Mutual Data Science Institute. His research interests include business intelligence and analytics, verification and validation, knowledge representation, educational technology, computer science education and software and computer management methodologies. He teaches in the following courses: Information Systems, Artificial Intelligence, Professional Seminar in Computing, Business Intelligence, Business Analytics, and Principles of Service Management and System Administration. A few of his published works include, “A Network Architecture for Intelligent Workstation Interfaces” and “Computer-Aided Materials Selection During Structural Design.”
Praveen Madiraju is an associate professor and director of graduate studies in the Department of Computer Science. His research interests include data science/machine learning, healthcare informatics: behavioral informatics, machine learning applications for healthcare, mobile applications, and databases and big data. Recent publications include topics such as, “Predicting Opioid Overdose Readmission and Opioid Use Disorder with Machine Learning,” and “Veterans, PTSD and Social Media: Towards Identifying Trauma Text Categories using Grounded Theory.” Madiraju teaches courses such as Data Structures, Senior Design and Advanced Database Systems.
Debbie Perouli is an assistant professor in the Department of Computer Science. Perouli’s interests lie in network protocol design and analysis, network topology modeling, security of the Internet routing protocols, and the security of physical-cyber systems. She has published works such as, “Solving Set Cover with Pairs Problem using Quantum Annealing” and “ Experimental Framework for BGP Security Evaluation.”
Satish Puri is an assistant professor in the Department of Computer Science. His research interests include parallel and distributed computing, spatial big data, cloud computing and HPC. A few of his published works include “Efficient Filters for Geometric Intersection Computations using GPU,” “Crayons: Empowering CyberGIS by Employing Cloud Infrastructure” and “Hierarchical Filter and Refinement System over Large Polygonal Datasets on CPU-GPU.” He teaches in data structure and algorithms and parallel and distributed computing.
Sabirat Rubya is an assistant professor in the Department of Computer Science at Marquette University. Her research areas are HCI, social computing, health informatics and human-aided machine learning. Her research focuses on recommending and designing mobile health technologies for critical health contexts. She completed her B.Sc. in Computer Science from Bangladesh University of Engineering and Technology and her Ph.D. in Computer Science from University of Minnesota.
Thomas Schwarz is a Jesuit priest and is currently an associate professor in the Department of Mathematical and Statistical Sciences and the Department of Computer Science. Previously, he was an associate professor in the Department of Computer Engineering at Santa Clara University before spending 5 years teaching in Latin America at the Universidad Católica del Uruguay and at the Universidad Centro-Americana in El Salvador.Schwarz holds two doctorates, one in Mathematics from the Fernuniversität Hagen (1984) and one in Computer Science from the University of California (1994). He has more than 100 publications in mathematics and computer science.His research interests are in distributed systems and in particular large storage systems. He is very interested in collaboration with Jesuit institutions around the work.
Michael Slattery is an assistant professor in the Department of Computer Science. Among his courses taught are calculus, abstract algebra, programming computer games and programming languages. His research focuses on algebra, group theory and computational algebra. His works have been published in the Journal of Chungcheong Mathematical Society and Journal of Symbolic Computation.
Nasim Yahyasoltani is currently the Northwestern Mutual Assistant Professor of Computer Science at Marquette University. She obtained her Ph.D. in Electrical Engineering from the University of Minnesota in June 2014 under the supervision of Professor Georgios B. Giannakis. Prior to joining Marquette University, she was a senior data scientist at Harley-Davidson Motor Company. Her research interests include statistical signal processing, machine learning, optimization theory and network science with applications to wireless communications and networking, smart grid and healthcare.
Michael Zimmer is a privacy and data ethics scholar, whose work focuses on digital privacy and surveillance, internet research ethics, and the broader social and ethical dimensions of emerging technologies. Zimmer is an associate professor in the Department of Computer Science at Marquette University and is an affiliated faculty at the Northwestern Mutual Data Science Institute.Zimmer’s research has been funded by the National Science Foundation (NSF), the Social Science Research Council (SSRC), the Association for the Advancement of Science (AAAS), the Institute of Museum and Library Services (IMLS) and the American Library Association, among other sources.
1. Retrieved on March 23, 2021 from usnews.com/education/online-education/marquette-university-OCIT0079/computer-information-technology