Computer Science

WPI’s Computer Science department is as diverse and varied as the field of computer science itself, offering courses and specializations in areas such as human-robotic interaction, intelligent tutoring and educational data mining, bioinformatics, computer security and privacy, and graphics and animation, among many others. WPI stays at the forefront of this ever-growing industry so that as society's use of computers expands, our students are confident in their knowledge of developing technologies in the real world through their work on large-scale team projects that make a real difference to the community.

Our hands-on education ensures that graduates of the Computer Science program leave WPI as problem-solvers and accomplished researchers who are ready to hit the ground running and make immediate contributions to this exciting and dynamic field.

Computer Science is hiring!

Looking for faculty colleagues who engage deeply in both teaching and research within a curriculum that embraces student projects and independent learning?
Consider joining the faculty at WPI.   Click here to see the full list of positions and apply.

The deadline for applications is December 16, 2016 with applications continuing to be considered after that date until the positions are filled. To enrich education through diversity, WPI is an affirmative action, equal opportunity employer. Women and members of traditionally underrepresented groups are especially encouraged to apply.

Our PhD Students

Caitlin Kuhlman

Caitlin is a PhD student working with Professor Elke Rundensteiner in the Database Systems Research Group. Her research interests include machine learning, data mining, and data integration.

She is also a researcher and the lead developer on MATTERS, the Massachusetts Technology, Talent, and Economic Reporting System, a project led by the Massachusetts High Tech Council.

Maryam Hasan

I am a PhD student at Worcester Polytechnic Institute. I am a member of DSRG group working under supervision of Prof. Elke Rundensteiner. My research interests are at the intersection of text streams analysis and social sensing and explore the challenges of real-time learning and inference on social networks, and applying machine learning techniques to aggregate big streams of social media data to discover trends, events, and influencers.


  • SIGKDD Travel award, Worcester Polytechnic Institute, Massachusetts, US, July 2014.
  • Research Poster Award at junior PhD level, CS Department, Worcester Polytechnic Institute, US, March 2014.
  • SIGMOD Travel award, Worcester Polytechnic Institute, Massachusetts, US, June 2013.
  • Outreach Award, Computing Science department, University of Alberta, Canada, 2010.
  • Alberta Heritage Scholarship, 2nd year of master program, University of Alberta, Canada, 2010.
  • Queen Elizabeth II Scholarship: Graduate Scholarship for Excellence in Academic and Research, University of Alberta, Canada, 2009-2011.
Rodica Neamtu

I taught at Emmanuel College for fourteen years before enrolling for my PhD at WPI. I intend to return to the academia and resume teaching computer science courses after my graduation. My research work focuses on Big Data mining, in particular time series similarity exploration and knowledge discovery. I am a person of two cultures, which allows me to understand each better and embrace the best of both. I value multicultural experiences and interdisciplinary approaches to education and research.


  • Best Poster Award ACM SAC 2016, Pisa, Italy
  • First place PhD level GRIE 2015 competition
Xinyue Liu

I'm Xinyue Liu, a 2nd year Ph.D. student of Department of Computer Science, Worcester Polytechnic Institute. I work as a research assistant under the supervision of Dr. Xiangnan Kong.