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Dr. Coronado is the Department of Computer Science Chair and an associate professor. He holds degrees in finance, computer information systems, information technology (M.S.), and information systems with international business (Ph.D.). His research and teaching focus on IT strategy, the business value of IT, business intelligence, and information management. Dr. Coronado has extensive consulting experience in database design, data integration, data architecture, business analytics, and technology adoption.

Areas of Interest:  IT strategy, business value of IT, business intelligence, information management, database design, data integration, data architecture, technology adoption.

Thomas Bolinger is a Lecturer in the Computer Science Department at Purdue University Fort Wayne (PFW). He has teaching and research interest in computer science education, modern web development, data analytics and visualization, and education gamification. Thomas coordinates the dual-credit program in the Computer Science Department and has contributed to projects funded by the National Science Foundation, the State of Indiana, and regional businesses. His ongoing projects incorporate his passion for expanding computer science education in our community.

Areas of Interest: Computer science education, modern web development, data analytics, data visualization, educational gamification, dual-credit programs, community outreach.

Dr. Zesheng Chen is an Associate Professor of Computer Science at Purdue University Fort Wayne, where he has served since 2015. He earned his M.S. and Ph.D. degrees from Georgia Institute of Technology in 2005 and 2007, respectively, and received his B.E. and M.E. degrees from Shanghai Jiao Tong University, China, in 1998 and 2001. His research interests include machine learning security, network security, Internet of Things, and performance evaluation.

For more information, visit his personal webpage: https://users.pfw.edu/chenz/.

Areas of Interest: Machine learning security, network security, Internet of Things (IoT), performance evaluation.

Dr. Hajiarbabi received his PhD in Computer Science at University of Kansas. His research interests included Medical Expert Systems, Machine Learning, Computer Vision and Data Science.

Areas of Interest: Medical expert systems, machine learning, computer vision, data science.

Dr. MD Romael Haque is a Visiting Assistant Professor in the Department of Computer Science at Purdue University Fort Wayne. His research focuses on Human-Computer Interaction (HCI), with a specialization in mixed-method analytics, integrating both qualitative and quantitative approaches, and UX design.

Dr. Haque's work emphasizes the responsible design of technology, examining the impacts and potential risks of mobile mental health applications, artificial intelligence (AI), and digital privacy through a variety of qualitative and quantitative methodologies. His expertise spans data engineering, exploratory analysis, thematic analysis, visualization, network analysis, statistical modeling, natural language processing (NLP), and machine learning. Dr. Haque's research goal is to apply critical thinking in developing and executing research protocols at the intersection of technology and society, engaging diverse stakeholders to uncover the societal implications of data.

Dr. Haque teaches various courses in Human-Computer Interaction, as well as courses related to programming languages such as Python, Java, and C++. He earned his B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology in Dhaka, Bangladesh, and completed his M.Sc. in Computing and Ph.D. in Computer Science at Marquette University in Milwaukee, USA.

Areas of Interest: Human-Computer Interaction (HCI), UX design, mobile mental health applications, AI ethics, digital privacy, data engineering, network analysis, NLP, machine learning.

Dr. Idriss received his Ph.D. in Computer Engineering from the Center of Advanced Computer Studies (CACS), University of Louisiana at Lafayette LA, USA. His research interests include fault-tolerant design, hardware security, large-scale integration (VLSI), Internet of Things (IoT) security, and machine learning.

Areas of Interest: Fault-tolerant design, hardware security, VLSI, IoT security, machine learning.

Dr. Amal Khalifa is an Assistant Professor of Computer Science at Purdue University Fort Wayne, where she has been teaching and conducting research since 2018. She holds a Ph.D. in Scientific Computing from Ain Shams University and brings over two decades of experience in academia, specializing in high-performance computing, bioinformatics, and information security. Her research spans deep learning applications, RNASeq data analysis, gene regulatory network analysis, and secure data communication.

Dr. Khalifa is a recipient of numerous awards, including the ETCS Excellence in Research Award at PFW, and has guided several graduate theses focused on bioinformatics and computational biology. She actively integrates advanced computational tools into her teaching, mentoring students on projects that bridge computer science with real-world applications.

Areas of Interest: High-performance computing, bioinformatics, information security, deep learning, RNASeq analysis, gene regulatory networks, secure data communication.

Dr. Kim is a Professor in the Computer Science Department and Director of the Information Analytics and Visualization Center. He received his M.S. and Ph.D. in Computer Science from the Illinois Institute of Technology. Since joining Purdue University Fort Wayne in 1998, he has published about 70 papers and led projects funded by the National Science Foundation, the State of Indiana, and regional businesses. His research interests include Data Analytics and Visualization, Virtual Reality, Human-Computer Interaction, and Computer Science Education.

Areas of Interest: Data analytics, data visualization, virtual reality, human-computer interaction, computer science education.

Dr. Ng received his PhD in Computer Science from The University of Texas at Austin in 1974.

His research interests include systems integration, healthcare information systems, document and knowledge-based systems, and document processing, retrieval, and management.

Areas of Interest: Systems integration, healthcare information systems, knowledge-based systems, document processing, document retrieval, document management.

Jonathan Rusert, PhD, is an Assistant Professor in the Department of Computer Science. His research focuses on subfields of Natural Language Processing (NLP), including: 1) Developing new adversarial attacks, attack detection algorithms, and defenses against the attacks. 2) Bias in NLP systems and research fields. 3) Privacy violations of AI and websites.  

He also works with multiple Master level students on their theses in the area of NLP. Past theses include: detection of machine-generated texts, improving accessibility of adversarial attack research, and emotion discovery in code-mixed conversations. Finally, he teaches undergrad classes as well as grad level classes related to NLP and other Ethical topics in AI.  

Areas of Interest: Natural Language Processing (NLP), adversarial attacks, bias detection, privacy in AI, ethical AI, accessibility in NLP.

Dr. Jin Soung Yoo is a Professor in the Department of Computer Science at Purdue University Fort Wayne. She earned her Ph.D. from the University of Minnesota, Twin Cities. Her research and teaching focus on data science, machine learning, data mining, big data analytics, and database systems. Dr. Yoo's work has been supported by institutions like the U.S. Air Force, Microsoft, and Amazon, and she is a former U.S. Air Force Faculty Fellow.

Areas of Interest: Data science, machine learning, data mining, big data analytics, database systems.