Ph.D., National Institute of Applied Sciences – Computer Science
M.S., Francophone University Agency – Computer Science and Mathematical Modeling and Scientific Software
B.S., Lebanese University – Computer Science

Dr. Youakim BADR is an associate professor of data analytics. He earned his Ph.D. in computer science from the National Institute of Applied Sciences (INSA-Lyon), France, where he worked as an associate professor in the computer science and engineering department from 2002 to 2018. Dr. Badr teaches Deep Learning, Reinforcement Learning, Data Mining and Foundations of Predictive Analytics. His research interests include the development of a new software engineering approach for designing and deploying “smart connected devices” and building “smart service systems” for the Internet of Things (IoT).

In addition, he conducts research activities on the integration of data analytic capabilities at the edge of the Internet of Things (Edge Machine Learning) and connected devices (Built-in analytics) to make the IoT smarter from the flood of data generated by connected devices.

Ph.D., Computer Science, University of Missouri
MBA, Finance and Management Information Systems, University of Missouri
B.S., Industrial Engineering, University of Bucharest

Dr. Adrian S. Barb, associate professor of information science, teaches databases, data mining, and big data courses. He has worked as a database programmer analyst as well as a web developer at University of Missouri. His research interests include data mining, knowledge discovery in databases, knowledge representation and exchange in content-based retrieval systems, semantic modeling and retrieval, conceptual change, ontology integration, and expert-in-the-loop knowledge generation and exchange.

Ph.D., Computer and Information Science, New Jersey Institute of Technology
M.S., Computer Engineering, Villanova University
B.S., Electrical Engineering and Math, Penn State

Dr. Joanna F. DeFranco is an assistant professor of software engineering. She has worked as an electronics engineer for the Navy, as well as a software engineer at Motorola. Her research interests include software engineering teams, effective teamwork, Internet of Things, and software-intensive critical systems.

Ph.D., Penn State University – Information Sciences and Technology
Ph.D., (Minor): Applied Statistics
M.S., University of Tulsa – Computer Science
M.Tech., Indian Statistical Institute – Computer Science
B. Eng. Jadavpur University – Mechanical Engineering

Dr. Partha Mukherjee, assistant professor of Data Analytics, teaches predictive analytics, data mining, and Python programming for data science related courses. He has worked as a research assistant in multi-agent systems in the University of Tulsa, a social media analyst in Pennsylvania State University and a research scientist in healthcare information and NLP in the University of Arizona.  His research interests include web and text data mining, applied machine learning, social computing and social media, natural language processing, healthcare informatics, and statistical methods. He has interest in multi-agent systems, and blockchain based models related to IoT.

Ph.D., Industrial Engineering, Penn State
Ph.D., (Minor), Computer Science, Penn State
M.S., Numerical Control, Beijing Institute of Technology, China
B.S., Mechanical Engineering, Beijing Institute of Technology, China

Dr. Robin G. Qiuis professor of information science at Penn State. He teaches courses on data analytics, information science, software engineering, and cyber security. Dr. Qiu's research includes smart service systems, IoT, big data, data/business analytics, information systems and integration, supply chain and industrial systems, and analytics. He served as the editor-in-chief of INFORMS Service Science. He is an associate editor of IEEE Transactions on Systems, Man, and Cybernetics, and IEEE Transactions on Industrial Informatics, and has more than 160 publications.

Ph.D., Computer and Information Sciences, Temple University
M.S., Computer Science, West Chester University
B.S., Genetics and Plant Breeding, Haryana Agricultural University

Dr. Raghvinder S. Sangwan is an associate professor of software engineering. His teaching and research involves analysis, design and development of software-intensive systems, their architecture, and automatic/semi-automatic approaches to assessment of their design and code complexity. He actively consults for Siemens Corporate Technology in Princeton, New Jersey, and holds a visiting scientist appointment at the Software Engineering Institute at Carnegie Mellon University in Pittsburgh, Pennsylvania. He is a senior member of the IEEE and ACM.

Ph.D., Information Technology, University of Nebraska at Omaha
M.S., Industrial Engineering and Management, Indian Institute of Technology, Kharagpur
B.S., Information Technology, Bharathidasan University

Dr. Satish Srinivasan is an assistant professor of information science in the Engineering division at Penn State Great Valley. He teaches courses related to database design, data mining, data collection and cleaning, design and implementation of predictive analytics system, network and web securities, and business process management. His research interests include social network analysis, data mining, machine learning, big data and predictive analytics and bioinformatics.