WPI Human-Computer Interaction Research Group

About Our Research Group

Welcome to WPI.
Our main research area is in human-computer interaction. Our group's current focus is on accessibility, brain-computer interaction, emerging interaction modes and techniques, neuroergonomics, reality-based interaction, and machine learning approaches in adaptive interactive systems. Our work has applications in areas such as deaf education, driving, aviation, health, privacy, STEM education, gaming, complex decision making, as well as human interaction with autonomous systems and vehicles.

We have moved to WPI! Until August 2018, we were part of HCCLabs@Drexel within the College of Computing & Informatics at Drexel and also the Drexel School of Biomedical Engineering, Science & Health Systems.
Research Projects
Towards Biometric Input for Multi-Agent Adaptive Human-Robot Collaboration
January 11, 2020
...
Integrating Non-Invasive Neuroimaging and Educational Data Mining to Improve Understanding of Robust Learning Processes
January 11, 2020
...
Closed-Loop BCI Using Adaptive Kinetic Architectural Design to Regulate Human Emotional States
January 11, 2020
...
Improving Information Accessibility with Sign Language First Technology
January 11, 2020
...
USING YOUR BRAIN FOR HCI
March 22, 2017
...
BRAIN-BASED CREATIVITY SUPPORT TOOLS
March 22, 2017
...
GAMES RESEARCH
March 22, 2017
...
DIVERT & ALERT
March 21, 2017
...
MACHINE LEARNING FOR HUMAN-CENTERED COMPUTING
March 21, 2017
...
HUMAN-CENTERED COMPUTING & HEALTH
March 20, 2017
...
STEM EDUCATION, OUTREACH & HCI
July 15, 2015
...
TEAMWORK IN HUMAN-AGENT TEAMS
July 14, 2015
...
BRAIN & BODY SENSING IN THE CAR
July 6, 2015
...
BOREDOM, LOW WORKLOAD & USER PERFORMANCE
June 6, 2015
...
HUMAN SUPERVISORY CONTROL
May 16, 2015
...
MULTITASKING & FNIRS BRAIN SENSING
May 6, 2015
...
VIDEO: CHISTORY
May 6, 2015
...
FNIRS IN HCI: FEASIBILITY & GUIDELINES
May 6, 2015
...
HCI & SAFETY-CRITICAL SYSTEMS
May 6, 2015
...
BRAINPUT: REAL-TIME FNIRS INPUT
May 6, 2015
...
Publications
2021
Moradinezhad, R., Solovey, E.T. (2021). Investigating Trust in Interaction with Inconsistent Embodied Virtual Agents. In International Journal of Social Robotics. (To Appear)
Liu, R., Reimer, B., Song, S., Mehler, B., Solovey, E.T. (2021). Unsupervised fNIRS feature extraction with CAE and ESN autoencoder for driver cognitive load classification. In Journal of Neural Engineering. (To Appear)
Solovey, E.T., Ryan, K.J., Cummings, M. (2021). CODA: Mobile Interface for Enabling Safer Navigation of Unmanned Aerial Vehicles in Real-World Settings. In International Journal of Human Computer Studies.

2020
McDonald, D.Q., Vallet, R., Solovey, E., Dion, G., Shokoufandeh, A. (2020). Knitted Sensors: Designs and Novel Approaches for Real-Time, Real-World Sensing In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). (To Appear)
Boll, R., Mahajan, S., Reis, J., Solovey, E.T. (2020). Creating questionnaires that align with ASL linguistic principles and cultural practices within the Deaf community. In Proc. of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility. [video]
Liu, R., Walker, E., Friedman, L., Arrington, C.M., Solovey, E.T. (2020). fNIRS-based Classification of Mind-wandering with Personalized Window Selection for Multimodal Learning Interfaces. Journal on Multimodal User Interfaces.
Unal, D., Arrington, K., Solovey, E., Walker, E. (2020). Using Thinkalouds to Understand Rule Learning and Cognitive Control Mechanisms within an ITS. In Proc. International Conference of Artificial Intelligence in Education (AIED).
K. Pahlavan, J. Ying, Z. Li, E. Solovey, J. P. Loftus, and Z. Dong. RF Cloud for Cyberspace Intelligence. IEEE Access 8 (2020): 89976-89987.
R. Liu, E. Solovey (2020). AI for Adaptive Brain-Computer Interfaces: Challenges and Opportunities. Proc. of CHI 2020 Workshop on Aritificial Intelligence for HCI: A Modern Approach.
L. De Carli, I. Ray, E. Solovey (2020). Enabling IoT Residential Security Stewardship for the Aging Population. In Proc. CHI 2020 Workshop on Designing Interactions for the Ageing Populations - Addressing Global Challenges.
R. Moradinezhad, E. Solovey (2020). Embodied Conversational Agent Behavior and its Impact on Trust in Other Agents. Proc. of CUI@CHI: Mapping Grand Challenges for the Conversational User Interface Community CHI 2020 Workshop.
Z. Li, Z. Lei, A. Yan, E. Solovey, K. Pahlavan. (2020). ThuMouse: A Micro-gesture Cursor Input through mmWave Radar-based Interaction. In Proc. IEEE ICCE International Conference on Consumer Electronics, Las Vegas, NV, USA

2019
J. Dubey, M. Sumaria, E. Oktay, Y. Li, Z. Li, R. Neamtu, E. T. Solovey (2019). Towards neuroadaptive technology using time warped distances for similarity exploration of brain data. In Proc. of Neuroadaptive Technology Conference (NAT 2019), Liverpool UK.
A. Girouard, O. Shaer, E.T. Solovey, M. Poor, R.J.K. Jacob. (2019). The Reality of Reality-Based Interaction: Understanding the Impact of a Framework as a Research Tool. ACM Transactions on Computer-Human Interaction (TOCHI).
R. Liu, A. Sarkar, E.T. Solovey, S. Tschiatschek (2019). Evaluating Rule-based Programming and Reinforcement Learning for Personalising an Intelligent System. In Proc. of the 2019 on IUI Workshop on Explainable Smart Systems.
2018
F. Putze, J. Hild, A. Sano, E., E. Solovey, and T. Schultz. (2018). Modeling Cognitive Processes from Multimodal Signals. In Proc. of the 2018 on International Conference on Multimodal Interaction (ICMI '18). ACM, New York, NY, USA, 663-663.
L. Friedman, R. Liu, E. Walker, E. Solovey (2018). "Integrating Non-Invasive Neuroimaging and Computer Log Data to Improve Understanding of Cognitive Processes, In Proc. of the 2018 ICMI Workshop on Modeling Cognitive Process from Multimodal Signals. ACM, New York, NY, USA.
L. Friedman, R. Liu, A. Kim, E. Walker, E. Solovey (2018). Towards Neuroadaptive Personal Learning Environments: Using fNIRS to Detect Changes in Attentional State, Proc. 2nd International Conference on Neuroergonomics, Frontiers.
R. Moradinezhad, E. Solovey (2018). Assessing human reaction to a virtual agent’s facial feedback in a simple Q&A setting, Proc. 2nd International Conference on Neuroergonomics, Frontiers.
A. Girouard, R.J.K. Jacob, O. Shaer, E. Solovey, and M. Poor. (2018). Reflecting on the Impact of HCI Frameworks, Proc. ACM CHI 2018 Workshop on Rethinking Interaction.
2017
D. Q. McDonald, E.T. Solovey (2017). User Identification from fNIRS Brain Data Using Deep Learning. In Proceedings of 2017 Conference on Neuroadaptive Technology.
R. Liu, E. Walker, E.T. Solovey (2017). Toward Neuroadaptive Personal Learning Environments. In Proceedings of 2017 Conference on Neuroadaptive Technology.
J. Chan, P. Siangliulue, D. Qori McDonald, R. Liu, R. Moradinezhad, S. Aman, E.T. Solovey, K. Gajos & S.P. Dow. (2017). Semantically far inspirations considered harmful? Accounting for cognitive states in collaborative ideation. In Proceedings of 2017 ACM Conference on Creativity and Cognition.
E.T. Solovey, P. Powale, M.L. Cummings. A field study of multimodal alerts for an autonomous threat detection system. Proc. of HCI International 2017 19^th International Conference on Human-Computer Interaction. 2017.
R. Liu, G. Marcu, E.T. Solovey. Mindful Shopping: A Compulsive Buying Disorder Management Tool. In Proceedings of ACM CHI 2017 Workshop on Interactive Systems in Healthcare (WISH 2017).
R. Moradinezhad, E.T. Solovey. Studying the Effects of Interacting with Virtual Agents in Amplifying Human Senses. In Proceedings of ACM CHI 2017 Workshop on Amplification and Augmentation of Human Perception.
D. Q. McDonald & E.T. Solovey. (2017). AgileFood: Facilitating Adaptive Food Donation to Address Hunger & Reduce Waste. In Proceedings of ACM CHI 2017 Workshop on Designing Sustainable Food Systems.
D. Qori McDonald, R. Greenstadt, G. Kaimal, E.T. Solovey. Mental Health Markers in Language and Brain Data: Potential Diagnostic Use and Privacy Concerns. In Proc. of ACM CHI 2017 Symposium on Computing and Mental Health. 2017.
2016
F. Tucker, E. T. Solovey, C. Geib, F. Lee. Veneer: A Digital Visual Novel Game Exploring Player Empathy. In Proc. Meaningful Play. East Lansing, MI. October, 2016.
S. Keating, E. Walker, A. Motupali, E.T. Solovey. Toward Real-time Brain Sensing for Learning Assessment: Building a Rich Dataset. In Proc. ACM CHI 2016 Extended Abstracts. San Jose, CA. May, 2016.
E.T. Solovey, R. Liu, R. Moradinezhad. Advanced Interaction Research in Autonomous Vehicles. In Proc. of CHI 2016 Workshop on HCI and Autonomous Vehicles: Contextual Experience Informs Design. San Jose, CA. May, 2016.
Gao, F., Cummings, M.L. & Solovey, E., Designing for Robust and Effective Teamwork in Human-Agent Teams in The Intersection of Robust Intelligence (RI) and Trust in Autonomous Systems, Ed.: W. Lawless, Springer.
2015
G. Jacucci, S. Fairclough, E. T. Solovey. Physiological Computing. IEEE Computer. 2015. [Editor Roundtable Discussion]
J. Reis, E. T. Solovey, J. Henner, K. Johnson, R. Hoffmeister. ASL CLeaR: STEM Education Tools for Deaf Students. Proc. ASSETS’15. (Poster paper) ACM. 2015.
D. Belyusar, B. Mehler, E.T. Solovey, & B. Reimer. The Impact of Repeated Exposure to a Multi-Level Working Memory Task on Physiological Arousal and Driving Performance, Transportation Research Record (in press). Also appeared in Proceedings of The Transportation Research Board 94th Annual Meeting, Washington, DC (2015).
M. Boyer, M.L. Cummings, L.B. Spence, E.T. Solovey. Investigating Mental Workload Changes in a Long Duration Supervisory Control Task, Interacting With Computers (2015)
E.T. Solovey, D. Afergan, A. Venkat, D. Belyusar, B. Mehler, B. Reimer. Enabling Adaptive Autonomy: Brain & Body Sensing for Adaptive Vehicles, Proc. CHI 2015 Workshop on Autonomous Driving UX. (2015). (To Appear).
E.T. Solovey, J. Okerlund, C. Hoef, J. Davis, O. Shaer. Augmenting Spatial Skills with Semi-Immersive Interactive Desktop Displays: Do Immersion Cues Matter? Proc. Augmented Human. 2015. (To Appear).
E.T. Solovey, D. Afergan, E.M. Peck, S. Hincks, R.J.K. Jacob, Designing Implicit Interfaces for Physiological Computing: Guidelines and Lessons Learned using fNIRS, ACM Transactions on Computer-Human Interaction (TOCHI) Vol. 21, Iss. 6., 2015.
2014
C. Hoef, J. Davis, O. Shaer, E.T. Solovey, An In-Depth Look at the Benefits of Immersion Cues on Spatial 3D Problem Solving, ACM Symposium on Spatial User Interfaces (Poster), Honolulu, HI, October 4-5, 2014. [poster]
D. Belyusar, B. Reimer, B. Mehler, D. Afergan, J.F. Coughlin, E.T. Solovey, Utilizing functional near-infrared spectroscopy to identify cognitive processes contributing to workload in a dual-task environment, Society for Neuroscience Annual Meeting (Poster Presentation), Washington, D.C., November 18, 2014. [poster]
F. Gao, M.L. Cummings, E.T. Solovey, Modeling Teamwork in Supervisory Control of Multiple Robots, IEEE Transactions on Human-Machine Systems.
E.T. Solovey, M. Zec, E. Garcia Perez, B. Reimer, B. Mehler. Classifying Driver Workload Using Physiological and Driving Performance Data: Two Field Studies. Proc. ACM Conference on Human Factors in Computing Systems CHI ’14, ACM Press (2014). Best Paper Award Honorable Mention. [Awarded to top 5%] [video preview]
D. Afergan, E. Peck, E.T. Solovey, A. Jenkins, S. Hincks, E.T. Brown, R. Chang, R.J.K. Jacob. Dynamic Difficulty Using Brain Metrics of Workload. Proc. ACM Conference on Human Factors in Computing Systems CHI ’14, ACM Press (2014). Best Paper Award Honorable Mention. [Awarded to top 5%]

2013
C. Berardi, E.T. Solovey, M.L. Cummings Investigating the Efficacy of Network Visualizations for Intelligence Tasks, Proc. IEEE Conference on Intelligence and Security Informatics, 2013.
K. Reinecke, D. Flatla, E.T. Solovey, C. Gutwin, K. Gajos, J. Heer, Many People, Many Eyes: Aggregating Influences of Visual Perception on User Interface Design, Proc. ACM CHI 2013 Extended Abstracts. (2013).[website]
A. Girouard, E.T. Solovey, and R.J.K. Jacob, Designing a Passive Brain Computer Interface using Real Time Classification of Functional Near-Infrared Spectroscopy, International Journal of Autonomous and Adaptive Communications Systems (2013).
News & Events
2020
Some WPI News: WPI to Help Develop Novel Sign Language Technology
Our IEEE ICCE Paper on ThuMouse was selected for the Best Paper Award competition.
2019
Our paper will be presented at the IEEE ICCE International Conference on Consumer Electronics: ThuMouse: A Micro-gesture Cursor Input through mmWave Radar-based Interaction.
New NSF Award: CHS: Medium: Improving Information Accessibility with Sign Language First Technology. We are recruiting PhD students interested in working on this project, and encourage applicants from the Deaf community as well as students interested in improving accessibility. This work is in collaboration with the Center for Research and Training at the Learning Center for the Deaf. Researchers will be joining a strong Deaf community there.
Our paper The Reality of Reality-Based Interaction: Understanding the Impact of a Framework as a Research Tool with Audrey Girouard, Orit Shaer, Michael Poor and Robert Jacob was published in the ACM Transactions on Computer-Human Interaction (TOCHI) Journal.
Dr. Solovey gave keynote talk at Neuroadaptive Technology Conference in Liverpool, England.
Presenting our work "Towards neuroadaptive technology using time warped distances for similarity exploration of brain data" with Jayesh Dubey, Mihin Sumaria, Erden Oktay, Yu Li, Ziheng Li and Rodica Neamtu
Dr. Solovey spoke at UMass Interdisciplinary Neuroscience Conference.
Awarded WPI-UML seed grant for a collaborative project "Towards Biometric Input for Multi-Agent Adaptive Human-Robot Collaboration" with Rodica Neamtu and Yanhua Li at WPI as well as Holly Yanco, Adam Norton, PeiChun Kao and Winnie Wu from UMass Lowell
CHI conference in Glasgow, Scotland.
Brain Initiative Investigators Meeting and NSF NCS PI meeting.
Dr, Solovey spoke on a panel about careres in academia at Scientista Symposium in Boston.
NSF highlighted our recent grant in this episode of NSF360.
Our lab was highlighted on Worcester's Channel 3 News.
Some WPI News: A New Kind of Thinking Cap: WPI Researchers Are Using Brain Imaging to Improve Personalized Learning Environments
Our paper "The Reality of Reality-Based Interaction: Understanding the Impact of a Framework as a Research Tool" with Audrey Girouard, Orit Shaer, Michael Poor and Rob Jacob has been accepted to the journal TOCHI.
Our paper "Evaluating Rule-based Programming and Reinforcement Learning for Personalising an Intelligent System" (with Ruixue Liu, Advait Sarkar, and Sebastian Tschiatschek) was accepted to the Explainable Smart Systems Workshop at IUI 2019.
2018
Fall
We are recruiting motivated students to join our research! More info here.
ICMI Conference in Boulder, CO and workshop on Modeling Cognitive Processes from Multimodal Data (MCPMD)
Leah presents our paper "Integrating Non-Invasive Neuroimaging and Computer Log Data to Improve Understanding of Cognitive Processes"
August
Dr. Solovey and the Advanced Interaction Research Lab move to WPI in Massachusetts
New NSF Award with Erin Walker (ASU/Pitt) and Kate Arrington (Lehigh): "NCS-FO: Integrating Non-Invasive Neuroimaging and Educational Data Mining to Improve Understanding of Robust Learning Processes"
NSF funds new integrative approaches to cognitive science, neuroscience
June and July
Kickoff of the NSF-funded Research Experience for Teachers Site for Machine Learning to Enhance Human-Centered Computing. Check out Kyle's and Damian's websites about their projects in the Advanced Interaction Research Lab over the summer.
Neuroergonomics Conference at Drexel in Philadelphia. Leah presents our paper "Towards Neuroadaptive Personal Learning Environments: Using fNIRS to Detect Changes in Attentional State" and Reza presents our paper "Assessing human reaction to a virtual agent’s facial feedback in a simple Q&A setting"
NSF-funded REThink Research Symposium showcases research conducted over the summer by Philadelphia area high school and community college teachers.
May
Leah presents her work at the Week of Undergraduate Excellence:
Mind the (Neuroadaptive Learning) Gap - Promoting Responsible Development of Neuroadaptive Learning Technology with Early Stakeholder Input
Towards Neuroadaptive Learning Environments - Using Direct Brain Assessment to Detect Changes in Attentional State
Two abstracts accepted to the 2018 Neuroergonomics Conference:
L. Friedman, R. Liu, A. Kim, E. Walker, E. Solovey (2018). Towards Neuroadaptive Personal Learning Environments: Using fNIRS to Detect Changes in Attentional State, Proc. 2nd International Conference on Neuroergonomics, Frontiers.
R. Moradinezhad, E. Solovey (2018). Assessing human reaction to a virtual agent’s facial feedback in a simple Q&A setting, Proc. 2nd International Conference on Neuroergonomics, Frontiers.
February
Congratulations to Leah Friedman for being offered a DAAD-RISE scholarship for a summer research internship in Magdeburg, Germany studying neural correlates of healthy and pathological decision making!
Congratulations to Denisa Qori for being selected to participate in the HCI in Ubicomp IRES program in Germany during the summer of 2018!
Congratulations to Ruixue Liu for being offered an internship at Microsoft Research in Cambridge, UK, working with Advait Sarkar and Cecily Morrison!
2017
August
Pat and Gloria presented their summer research at the 2017 REThink Research Symposium
July
Two papers presented at the NAT2017 Neuroadaptive Technology Conference in Berlin:
Denisa Qori McDonald, Erin T. Solovey (2017). User Identification from fNIRS Brain Data Using Deep Learning. In Proceedings of 2017 Conference on Neuroadaptive Technology.
Ruixue Liu, Erin Walker, Erin T. Solovey (2017). Toward Neuroadaptive Personal Learning Environments. In Proceedings of 2017 Conference on Neuroadaptive Technology.
Paper presented at the HCI International Conference in Vancouver:
Erin T. Solovey, Pallavi Powale, M.L. Cummings. A field study of multimodal alerts for an autonomous threat detection system. In Proc. of HCI International 2017 19th International Conference on Human-Computer Interaction. 2017.

June
Dr. Solovey gave an invited talk on "Enhancing Human Collaboration with Artificial Intelligence Systems Through Brain Computer Interfaces" at the 2017 Hamlyn Symposium on Medical Robotics workshop on Human-Robot Interactions Applied to Health
Welcome Pat and Gloria, our two visiting teachers participating in the NSF-funded Research Experience for Teachers Site for Machine Learning to Enhance Human-Centered Computing
Welcome our visiting DREU undergraduate research assistant, Aria, from Williams College
Welcome our visiting DREU undergraduate research assistant, Caitlin, from Rowan University.
April
Welcome our new undergraduate research assistants: Anush, Jeremy, Juan, and Weidi!
March
Paper accepted to ACM CHI 17 Workshop on Interactive Systems in Healthcare (WISH 2017)
Paper accepted to ACM CHI 17 Workshop on Sustainable Food Systems
Our paper "Semantically far inspirations considered harmful? Accounting for cognitive states in collaborative ideation" was accepted to ACM Creativity & Cognition 2017 conference.
Paper accepted to ACM CHI 17 Workshop on Amplification and Augmentation of Human Perception.
February
Our paper "Mental Health Markers in Language and Brain Data: Potential Diagnostic Use and Privacy Concerns" was accepted to the 2nd Symposium on Computing and Mental Health at the ACM CHI 2017 Conference in May.
We are now accepting applications for the 2017 Drexel REThink Project, a Research Experiences for Teachers (RET) Site in Engineering and Computer Science for Machine Learning to Enhance Human-Centered Computing. STEM and Computer Science high school teachers and 2-year college faculty in the Philadelphia Area are encouraged to apply for this program running this summer. Deadline: March 31
Our paper "A field study of multimodal alerts for an autonomous threat detection system" was accepted to the 2017 HCI International Conference in July.
More News...
Research Opportunities

PhD students
We are currently recruiting motivated students interested in doing research in human-computer interaction (HCI), specifically accessibility and emerging interaction modes and techniques such as brain-computer interfaces, physiological/wearable computing, affective computing, tangible interaction, and reality-based interaction. Many of our projects also involve applying machine learning techniques to human-computer interaction, and/or human interaction with complex and autonomous systems and vehicles. Before contacting us, please take a look at our research and publications.

WPI is an exciting place to study human-computer interaction. WPI offers Ph.D. and M.S. programs in Computer Science, Data Science, Interactive Media and Game Development, Neuroscience, Learning Sciences, and Robotics Engineering. If you are applying to one of the doctoral programs, and are interested in working in our group, make sure to indicate this as well as your research interests in your essay.
WPI Undergraduate or Masters students
If you are interested in getting involved, feel free to contact us and provide information about your background and interests, as well as your CV or resume. We currently have projects for students interested in human-computer interaction, accessibility, Deaf education, psychology, experiment design, brain-computer interfaces, machine learning, feature selection, and/or signal processing.

Students often join the lab as volunteer research assistants, work-study lab assistants, enroll in independent study credit and/or take paid research assistant positions. I also regularly supervise MQP and IQP projects related to research projects in my lab.
Positions
Undergraduate Research Assistant (C and/or D term, or Summer) - Human-Computer Interaction, Experiment Design
Software Engineer (Masters/Undergrad) - Brain Signal Processing, Visualization and Analysis Tools (C and/or D term, and/or Summer)
Undergraduate Work Study Position (C and/or D term) - Multidisciplinary
Research Assistant (Masters/Undergrad student) - Towards Biometric Input for Multi-Agent Adaptive Human-Robot Collaboration
Research Assistant (Ph.D./Masters/Undergrad) - Improving Information Accessibility with Sign Language First Technology
Research Assistant (Ph.D./Masters/Undergrad) - Integrating Non-Invasive Neuroimaging and Educational Data Mining to Improve Understanding of Robust Learning Processes
Research Assistant (Masters/Undergrad) - Closed-Loop BCI Using Adaptive Kinetic Architectural Design to Regulate Human Emotional States
People
DIRECTOR

Erin T. Solovey
esolovey@wpi.edu
Assistant Professor of Computer Science
Worcester Polytechnic Institute

Dr. Solovey's website

Locations & Contact
Lab: Fuller Labs
Worcester Polytechnic Institute
Worcester, MA 01609
Office: Fuller Labs, B21
Worcester, MA 01609
CURRENT STUDENTS & RESEARCHERS

Alicia Howell-Munson
PhD Student
anhowellmunson@wpi.edu
MS - WPI (2019) Bioinformatics and Computational Biology
BS - WPI (2019)
Bioinformatics & Computational Biology
Ruixue Liu
PhD Student
rliu2@wpi.edu
MS - Drexel University (2018) Computer Science
BS - Beihang University (2014) Airworthiness and Management
Shruti Mahajan
MS Student
spmahajan@wpi.edu
MS - WPI
Computer Science
BS - Cummins College of Engineering for Women, India (2018)
Computer Science
Hannah Borges
Undergrad Student
hbborges@wpi.edu
BS - WPI (2022)
Biomedical Engineering
Chris Micek
PhD Student
cjmicek@wpi.edu
BS – Johns Hopkins University (2017)
Biomedical Engineering
Computational Biology (concentration)
Computer Science (minor)
Reza Moradinezhad
PhD Student
reza.mora@drexel.edu
BS - University of Mazandaran (2013)
Information Technology
Denisa Qori
PhD Student
denisa.qori@drexel.edu
BS - Drexel University (2015) Computer Science
Psychology (Minor)
Ellery Buntel
Undergrad Student
ebuntel@wpi.edu
BS - WPI
Computer Science

Kyra Bresnahan
Undergrad Student (MQP)
krbresnahan@wpi.edu
BS - WPI (2020)
Computer Science
Data Science (minor)
Drama/Theatre (minor)
Chau Minh Do
Undergrad Student
mdo@wpi.edu
BS - WPI (2021)
Computer Science
Claire Nicolas
Undergrad Student
canicolas@wpi.edu
BS - WPI (2022)
Biomedical Engineering
Ally Salvino
Undergrad Student
amsalvino@wpi.edu
BS - WPI (2022)
Mathematical Sciences
Computer Science (minor)
Spanish (minor)
Zijian Guan
Undergrad Student
zguan@wpi.edu
BS - WPI (2022)
Computer Science

Molly Sunray
Undergrad Student
mdsunray@wpi.edu
BS - WPI (2023)
Computer Science
Mathematics

James Plante
Undergrad Student
jplante@wpi.edu
BS - WPI (2021)
Computer Science

Adrianna Staszewska
Undergrad Student
azstaszewska@wpi.edu
BS - WPI (2022)
Computer Science
Data Science
PAST STUDENTS & RESEARCHERS

Jayesh Dubey
PhD Student

Nishant Doshi
Masters Student
ndoshi@wpi.edu
MS- WPI (2019)
Robotics Engineering
Leah Friedman
Undergrad/Coop
BS - Drexel University
(2019)
Cognitive Neuroscience
Gloria Houseman
REThink Visiting Teacher

Owen J. Roberts High School
Kyle Ellis
REThink Visiting Teacher
W.B. Saul High School
Damian Baraty
REThink Visiting Teacher
The Hill School
Hyo Jung (Aria) Kim
Undergrad/DREU
hk5@williams.edu
BA - Williams College
(2019)
Computer Science, Cognitive Science
Caitlin McElwee
Undergrad/DREU
mcelweek3@students.rowan.edu
BS - Rowan University (2019)
Computer Science
Anush Lingamoorthy
Undergrad/Coop
aln57@drexel.edu
BS - Drexel University (2018)
Computer Engineering, Electrical Engineering
Mechanical Engineering (minor)
Juan Garcia Lopez
Undergrad/Coop
jlg435@drexel.edu
BS - Drexel University
(2020)
Computer Science
Jeremy Solomon
Undergrad/Coop
jds423@drexel.edu
BS - Drexel University
(2018)
Entrepreneurship
Safa Aman
Undergrad/STAR Scholar
sra68@drexel.edu

BS - Drexel University (2020)
Computer Science
Economics (minor)
Monica Jesteen
Undergrad/STAR
mj486@drexel.edu

BS - Drexel University (2020)
Biomedical Engineering
Bruce Karpe
REThink Visiting Teacher
Swenson Arts & Technology High School
Calan Farley
Undergrad/Coop
cmf344@drexel.edu
BS/MS - Drexel University (2018)
Biomedical Engineering
Biomechanics and Human Performance
Tenell Rhodes, Jr.
Graduate Student
tr464@drexel.edu
MS - Drexel University (2017)
Software Engineering
BS - Worcester Polytechnic Institute (2015)
Electrical & Computer Engineering
Robotics Engineering
Bichu Ben
Undergrad/Part Time
bb588@drexel.edu

BS - Drexel University (2018)
Electrical Engineering
Patrick Hislop
Undergrad/STAR Scholar
pfh28@drexel.edu
BS - Drexel University (2019)
Software Engineering
Phoebe Wooldridge
Undergrad/DREU
pwoold@gmail.com
BS - Carleton College (2017)
Computer Science
Neuroscience (concentration)
Craig Carr
Undergrad/STAR Scholar
chaoxys@gmail.com
BS - Drexel University (2017)
Software Engineering
Weidi Tang
Undergrad/Coop
wt84@drexel.edu
BS - Drexel University
(2018)
Digital Media
Patricia Rahmlow
REThink Visiting Teacher
Associate Professor of Computer Science, Montgomery County Community College
Shelby Keating
Undergrad/ Coop
sak347@drexel.edu
BS/MS - Drexel University (2018)
Biomedical Engineering - Bioinformatics
Computer Science (minor)
My Le
Undergrad/Coop
mtl54@drexel.edu
BS/BA - Drexel University (2015)
Management Information Systems
Information Systems (minor)
Stevie Mari Hawkins
Grad/Alum
sdh65@drexel.edu
MS - Drexel University (2015)
Computer Science
Jianfei Li
Undergrad/Coop
jl3429@drexel.edu
BS - Drexel University (2017)
Computer Science
Enioluwa Segun
Undergrad/STAR
eos24@drexel.edu

BS - Drexel University (2020)
Computer Science
Aaron Segal
BS/MS Student
ams665@drexel.edu
BS/MS - Drexel University (2017)
Software Engineering
Amelia Solon
Independent Study
BS/MS - Drexel University (2015)
Biomedical Engineering
Arudra Venkat
Graduate Student
arudravenkat@gmail.com
MS - Drexel University (2016)
Software Engineering
BS - Drexel University
Computer Engineering
Paritosh Gupta
Undergrad STAR Scholar
paritosh.gupta@yahoo.co.uk

BS - Drexel University (2018)
Computer Science
Photos
Our team. Our work.
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Current & Recent Projects