Faculty & Staff

As founding Head of the interdisciplinary Data Science program here at WPI, I take great pleasure in doing all in my power to support the Data Science community in all its facets from research collaborations, and new educational initiatives to our innovative industry-sponsored and mentored Graduate Qualifying projects at the graduate level. ...

Professor Fatemeh Emdad completed her Ph.D. in Applied Mathematics with a concentration in Applied Mathematics at Colorado State University. She is the recipient of the top-ranked student academic award from the President of Shiraz University. She is the author of the book High Dimensional Data Analysis and more than 20 journal and conference articles. She completed her postdoctoral degree with the University of Texas Medical Branch and Shriners Hospital for Children Burn Unit when she was the NIH postdoctoral scientist fellow (under Ruth L. ...

During his doctoral research efforts, Dr. Ghoshal developed three novel methods to expand the usability of convolutional neural networks beyond image data. He earned his Ph.D. in Engineering Science with a Computer Science major from the University of Mississippi in 2020. He then joined Lyon College as a Visiting Assistant Professor and led the development of their brand new data science program. His research interests include feature engineering, deep learning, and natural language processing. ...

Information visualization is a powerful means for understanding data and informing human minds. As people begin to rely on visualizations to make high-impact and even life-critical decisions, there is a growing need to ensure that information can be perceived accurately and precisely. ...

Professor Kong’s research interests focus on data mining and machine learning, with emphasis on addressing the data science problems in biomedical and social applications. Data today involves an increasing number of data types that need to be handled differently from conventional data records, and an increasing number of data sources that need to be fused together. Dr. Kong is particularly interested in designing algorithms to tame data variety issues in various research fields, such as biomedical research, social computing, neuroscience, and business intelligence. ...

Nima Kordzadeh is an Associate Professor of Information Systems at the WPI Business School. He is also affiliated with the Data Science Program. Joining WPI in 2017, Professor Kordzadeh was drawn by the university’s commitment to blending theory with practice, aligning perfectly with his educational philosophy. Teaching at WPI is particularly rewarding for him because it enables engagement with students poised to use technology to shape a better world. ...

Dr. Lee’s research interests are in social computing, artificial intelligence, machine learning, natural language processing, and information retrieval, over large-scale systems like the Web and social media. He focuses on threats to these systems and design methods to mitigate negative behaviors (e.g., misinformation, hate speech), and look for positive opportunities to mine and analyze these systems for developing next generation algorithms and architectures (e.g., recommender system, natural language understanding). ...

Yanhua Li is an Associate Professor in the Computer Science Department and Data Science Program at Worcester Polytechnic Institute (WPI). His research interests focus on artificial intelligence (AI) and data science, with applications in smart cities in many contexts, including spatial-temporal data analytics, urban planning and optimization. ...

Dr. Xiaozhong Liu is an Associate Professor at Computer Science and Data Science, WPI. Before that, he was Associate Professor at School of Informatics, Computing and Engineering Indiana University Bloomington. His research interests include natural language processing (NLP), text/graph mining, information retrieval/recommendation, metadata, and computational social science. His dissertation at Syracuse University (advisor Dr. Elizabeth D. Liddy) explored an innovative ranking method that weighted the retrieved results by leveraging dynamic community interests. ...

I design and analyze algorithms for optimization, Markov Chain Monte Carlo samplers, and generative models, with provable runtime, accuracy, and privacy guarantees for applications in Machine Learning, Artificial Intelligence, and Data Science.  In doing so, I aim to introduce new mathematical tools from physics and geometry to the design and analysis of optimization, sampling, and generative modeling algorithms used in ML and AI.

Raha Moraffah is an Assistant Professor in the Department of Computer Science at Worcester Polytechnic Institute (WPI). Prior to joining WPI, she earned her Ph.D. in computer science from Arizona State University. Raha’s research spans machine learning, data mining, artificial intelligence, and causal inference, with a specific focus on developing trustworthy and responsible machine learning and generative AI algorithms. She is also interested in integrating a causality perspective into machine learning, paving the way for the advancement of causal machine learning. ...

Before joining WPI Data Science/Computer Science, Fabricio Murai was an Associate Professor in the Department of Computer Science at the Universidade Federal de Minas Gerais, Brazil. He received his Ph.D. in Computer Science at  University of Massachusetts, Amherst in 2016. His research lies in the application of mathematical modeling, statistics and machine learning to computer, informational and social networks. He has published in top scientific journals such as Data Mining and Knowledge Discovery, ACM TKDD and PLOS ONE. ...

I completed my Ph.D. in Information Technology from the Department of Computer Science at George Mason University. Before that, I received MBA in Management Information Systems from California State University, Chico and BEng in Electronic Engineering from the Hong Kong University of Science and Technology respectively. My teaching interests include Database Management Systems, Data Mining, Artificial Intelligence, Machine/Deep Learning, Data Analytics, Decision Support System, Data Structures, Computational Algorithms, and Software Application Programming. ...

My research focuses on compressed sensing, machine learning, signal processing, and the interaction between mathematics, computer science and software engineering. My interests range from theoretical results to algorithms for tackling practical applied problems, and I enjoy problems most when mathematical results lead to efficient software implementations for big data. I am looking forward to working with students at all levels and backgrounds who share an interest in mathematics, software, or data. ...

Carolina Ruiz is the Associate Dean of Arts and Sciences and the Harold L. Jurist ’61 and Heather E. Jurist Dean’s Professor of Computer Science. She joined the WPI faculty in 1997. Prof. Ruiz’s research is in Artificial Intelligence, Machine Learning, and Data Mining, and their applications to Medicine and Health. She has worked on several clinical domains including sleep, stroke, obesity and pancreatic cancer. Prof. ...

Before joining WPI, Roee Shraga was a Postdoctoral fellow at the Khoury College of Computer Science at Northeastern University in Boston. His research mainly revolves around data discovery and integration and combines techniques from data management, machine learning, information retrieval and human-in-the-loop. His research has been published in top-tier conferences such as SIGMOD, VLDB, SIGIR, WWW, and ICDE. He is a recipient of the Council for Higher Education [VATAT] scholarship for outstanding data science postdocs. ...

WPI provides an environment that values both teaching and research, which is ideal for me. I enjoy teaching at WPI because students are interested in learning and willing to work hard. My teaching focuses on how business, healthcare, and nonprofit organizations can best use computing technologies, such as database systems, electronic health records systems, and mobile apps. Students in my classes learn to design computing applications that meet the needs of organizations. ...

I am Professor of Operations and Industrial Engineering at Worcester Polytechnic Institute (WPI), with courtesy appointments in Mathematical Sciences, Data Science, and Computer Science. I hold a Ph.D. in Industrial Engineering from the University of Pittsburgh. My objective is to use science and technology to assist real human need by improving systems that serve vulnerable peoples, such as refugees and asylum seekers, survivors of human trafficking, and children in the foster care system.
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Daniel N. Treku teaches business application of blockchain technology, business intelligence, and data science at the Business School at Worcester Polytechnic Institute, Massachusetts. His ongoing research lies at the intersection of the value of network technologies (e.g., the business value of blockchain technology), the economics of information systems, and fintech (digital asset investments, tokenization, and cryptocurrency + ML/AI integration). Mainly, his research utilizes conceptual and empirical approaches toward broader aims of financial inclusivity and social good. ...

Seyed A. (Reza) Zekavat received his PhD from Colorado State University in 2002. He is the Author of the textbook "Electrical Engineering: Concepts and Applications" published by Pearson, and the editor of the book “Handbook of Position Location: Theory, Practice and Advances,” published by Wiley/IEEE. He holds a patent on an active Wireless Remote Positioning System. ...

Professor Zou’s research focuses on financial time series and spatial statistics with applications to epidemiology, public health and climate change. His most recent research on statistical theory and methodology addressed a wide range of challenges including high dimensionality, complex dependencies, and space and time variations. His research in high-frequency financial data tackled problems with high dimensionality, which is currently a hot topic in statistics. ...

Ana Maria is the Program Manager for the Data Science Program. Her responsibilities include working with the Program Head, supporting faculty and students, collaborating across campus, and managing budgetary and financial matters. She previously worked at Becker College as the Director of Teaching & Learning Innovation. She holds a B.A. in Art Education from C.W. Post Long Island University, an M.A. in Diplomacy from Norwich University, and earned her Ed.D. in Leadership & Innovation from St. Thomas University. ...

Kelsey is the Director of Programs & Strategic Initiatives for the Data Science Program. Her responsibilities include serving as the Graduate Coordinator, working with the Program Head on grant funded projects, supporting faculty and students, and collaborating with the Program Manager. ...