SIGBITS

 

 

 

 

 

 

 

 

 

 

 

 

 

New Faculty Joining the Department: This year, our department welcomed seven new faculty members. Prof. Walter Gerych,  Prof. Maxim Lisnic, Prof. Cheng Zhang, and Prof. Qi Zhang support both the teaching and research missions.  Prof. Bahman Moraffah, Prof. Ethan Prihar, and Prof. Dachun Sun support the teaching mission.

Promotions and Tenure: 

Prof. Robert Walls was appointed as the Director of the Cybersecurity Program.

 

 

 

Prof. Rodica Neamtu was awarded tenure. She is the first faculty in the department to be awarded tenure on the teaching-tenure track.

 

 

 

Prof. Michael Engling was promoted to associate teaching professor in the Department of Computer Science. 

 

 

 

Grants:  

• Prof. Jun Dai serves as a PI, and Prof. Xiaoyan Sun, Prof. Craig Shue, and Prof. Xiaozhong Liu serve as co-PIs on the “Collaborative Research: EAGER: NAIRR Pilot Expansion: FA1: Advancing AI Research with NAIRR Workshop Series on Cybersecurity, Edge AI, and Autonomous Driving” award from NSF. Award amount: $149,951. Project dates: Aug 2025-July 2027.
• Prof. Jun Dai serves as a PI, and Prof. Xiaoyan Sun and Prof. Xiaozhong Liu serve as Co-PIs at WPI on the “DRiving Automotive Industry WorkForce Transformation (DRIFT): Excellence and Innovation in Cybersecurity and Artificial Intelligence” grant from NCAEC. WPI award amount: $749,994+$300,000 (option year). Project dates: Sep 2024-Dec 2027.
• Prof. Xiaoyan Sun serves as a PI, and Prof. Jun Dai serves as a Co-PI at WPI on the “National Cyber Teaching Coalition” grant from NCAEC. WPI award amount: $278,523+$277,981 (option year). Project dates: Sep 2024-Sep 2027.
• Prof. Roee Shraga is the PI on BSF Grant: “FairPrep: Fair Data Preparation, from Discovery to Integration.” Award amount: $90,000. Project dates: Dec 2025 to Dec 2027.
• Prof. Craig Shue is the PI and Profs. Jun Dai, Sherry Sun, and Robert Walls are co-PIs on a Department of Defense Grant: “2025 DoD CSA Scholarship Program.” Award amount: $176,424. Project dates: Aug. 2025 to Dec. 2026.
• Prof Rodica Neamtu and the PASS-CS team (Debra Boucher, Crystal Brown, Matthew Ahrens, Erin Solovey, Lane Harrison, Francesca Bernardi, Keenan Kidwell) received a new NSF ROPES Hub Subaward for Building & Sustaining Partnerships. This initiative aims to support participant teams as they build and sustain their S-STEM initiatives. As part of this new subaward grant, they will work with Hub leaders to gain skills in the areas of problem scoping and analyzing stakeholder needs with practical applications for cultivating effective collaborations aimed at sparking real, sustainable change.
• Prof. Erin Solovey is the PI for a Dr. John F. Manning, Jr. '80 and Catherine C. Leser Arts & Science Faculty Research Grant titled “Thinking with AI: The Role of Brain Sensing in Human-AI Interaction.”
• Prof. Lane Harrison is the Co-PI on a Carnegie Corporation of New York grant: “Mapping Global China.” Award amount: $600,000. Project dates: September 1, 2024, to August 31, 2026. This is a collaborative award with PI Jennifer Rudolph from Worcester Polytechnic Institute and collaborator Maria Adele Carrai, Assistant Professor of Global China Studies at New York University Shanghai.
• Prof. Lane Harrison serves as PI on “EvalOps: Advancing Human-Machine Teaming through Rapid, Scalable Evaluation” from the Laboratory for Analytic Sciences. WPI award amount: $117,405. Project dates: Jan 2025-Dec 2026.  

External Awards: 

• The paper “ExtractGPT: Exploring the potential of large language models for product attribute value extraction” co-authored by Prof. Roee Shraga received the best paper award from the International Conference on Information Integration and Web Intelligence (iiWAS).
• The paper “ALT-GEN: benchmarking table union search using large language models” co-authored by Prof. Roee Shraga received the best paper award from the International Workshop on Tabular Data Analysis (TaDA).
• Prof. Roee Shraga was named a finalist for Best Innovator: Legal Education, 2025 Relativity Innovation Awards.
• Prof. Erin Solovey and her collaborators (Brian Flanagan, Maynooth University & Daniel Chen, Toulouse) won Best Paper Award at the Symposium on Human-Computer Interaction for Work (CHIWORK’25) for their paper “Interacting with AI at Work: Perceptions and Opportunities from the UK Judiciary.”
• Prof. Lane Harrison’s paper “ReVISit 2: A Full Experiment Life Cycle User Study Framework” (with Zach Cutler, Jack Wilburn, Hilson Shrestha, Yiren Ding, Brian Bollen, Khandaker Abrar Nadib, Tingying He, Andrew McNutt, and Alexander Lex) received the Best Paper Award from the IEEE VIS 2025 Conference.
• Prof. Lane Harrison’s paper “They Aren’t Built for Me: An Exploratory Study of Strategies for Measurement of Graphical Primitives in Tactile Graphics” (with Areen Khalaila, Nam Wook Kim, and Dylan Cashman) received the Best Paper Award from the IEEE VIS 2025 Conference.
• Prof. Fabricio Murai received the Outstanding Reviewer Award (top 10%) in ACM Knowledge Discovery and Data Mining Conference (KDD 2025).
• The paper "DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students' Hand-Drawn Math Images," co-authored by Prof. Neil Heffernan with his student Sami Baral, won an Outstanding Paper Award at this year's NAACL conference (North American Chapter of the Association for Computational Linguistics). 

Patents: 

• Craig A. Shue, Lane Harrison, “Method and Apparatus for Providing Isolated Asset Access in a Layered Security System,” US Patent Number 12341822, granted June 24, 2025.

Publications:  

Sakire Arslan Ay’s Publications:

• Laura Pellowski, Abigail J Haller, Rose Strobel, Edward Benjamin Tyler, Sakire Arslan Ay, Rose Bohrer, “Refeminizing Creative Computing through a Programming Language for Quilts.” Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '25)

   

Prof. Jun Dai’s Publications:                                 

• Brian Almaguer, Cooper Dean, Edward Dang, Pamela Dooley, Brandyn Miller, Marina Moshchenko, Marti Shirley, Tabitha Senty, Melissa Dark, Xiaoyan Sun, Jun Dai. “Project-based Teaching Aid for Secondary Education on Cyberattacks and Countermeasures.” 26th Annual ACM Conference on Cybersecurity and Information Technology Education (SIGCITE).  Nov 2025.
• C. Yue, K. Chen, Z. Guo, J. Dai, X. Sun, Y. Yang, "What's Done Is Not What's Claimed: Detecting and Interpreting Inconsistencies in App Behaviors." The 32nd edition of the Network and Distributed System Security Symposium (NDSS 2025).
• D. Ma, J. Jiang, X. Sun, Z. Tang, Z. Zhang, K. Chen, J. Dai, "Got My 'Invisibility' Patch: Towards Physical Evasion Attacks on Black-box Face Detection Systems." IEEE Transactions on Dependable and Secure Computing (TDSC), June 2025.
• X. Tan, H. Luan, M. Luo, X. Sun, P. Chen, J. Dai, "RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis." To appear in Findings of the Association for Computational Linguistics: EMNLP 2025.
• D. Kariuki, I. Ngambeki, J. Dai, M. Bishop, X. Sun, M. Dark, J. Daugherty, A. Lowrie, M. Geissler, P. Nico and A. Noor, "Strengthening Workforce Education: Excellence in Programming Securely (SWEEPS)." ACM Special Interest Group on Computer Science Education (SIGCSE) Technical Symposium (TS) 2025.
• J. Wei, P. Chen, K. Lu, J. Dai, X. Sun, "SQLaser: Detecting DBMS Logic Bugs with Clause-Guided Fuzzing." Journal of Computer Security (JCS), July 2025.
• J. Wei, P. Chen, J. Dai, X. Sun, Z. Zhang, C. Xu, Y. Wang, "HuntFUZZ: Testing Error Handling Code through Concolic Execution-Assisted Fuzzing with Optimization." Journal of Computer Security (JCS), April 2025.
• M. Dark, P. Huff, J. Dai, M. Bishop, "CSEC Foundations Guidelines." IFIP (International Federation for Information Processing) Working Group (WG) 11.8-World Conference on Information Security Education (WISE) 2025, Maribor, Slovenia, May 21-23, 2025.
• C. Dean, B. Almaguer, T. Buck, N. Kunkle, C. Nguyen, P. Patel, A. Roberts, M. Shirley, H. Fu, X. Sun, J. Dai, "A Car Hacking Mini-Unit for High School Cybersecurity Education." IFIP (International Federation for Information Processing) Working Group (WG) 11.8-World Conference on Information Security Education (WISE) 2025, Maribor, Slovenia, May 21-23, 2025.

Prof. Tian Guo’s Publications: 

• Yiqin Zhao, Mallesham Dasari, Tian Guo. “Clear: Robust context-guided generative lighting estimation for mobile augmented reality.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2025.
• Yicheng Wang, Lijie Xu, Tian Guo, Wensheng Dou, Hongbin Zeng, Wei Wang, Jun Wei, Tao Huang. "BridgeGC: An Efficient Cross-Level Garbage Collector for Big Data Frameworks." ACM Transactions on Architecture and Code Optimization, 2025.
• Ashkan Ganj, Hang Su, Tian Guo. "HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors." 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
• Yiqin Zhao, Sean Fanello, Tian Guo. "Multi-Camera Lighting Estimation for Mobile Augmented Reality." GetMobile: Mobile Computing and Communications, 2024.

Prof. Lane Harrison’s Publications: 

• Zach Cutler, Lane Harrison, Carolina Nobre, and Alexander Lex. 2025. Crowdsourced Think-Aloud Studies. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–23.
• Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke Rundensteiner, and Lane Harrison. 2025. FairSpace: An Interactive Visualization System for Constructing Fair Consensus from Many Rankings. Comput. Graph. Forum (2025), e70132.
• Akim Ndlovu, Hilson Shrestha, Evan Peck, and Lane Harrison. 2025. SurpriseExplora: Tuning and Contextualizing Model-derived Maps with Interactive Visualizations. Comput. Graph. Forum (2025), e70114.
• Hilson Shrestha, Jack Wilburn, Brian Bollen, Andrew M. McNutt, Alexander Lex, and Lane Harrison. 2025. ReVISitPy: Python Bindings for the reVISit Study Framework. The Eurographics Association.
• Zach Cutler, Jack Wilburn, Hilson Shrestha, Yiren Ding, Brian Bollen, Khandaker Abrar Nadib, Tingying He, Andrew McNutt, Lane Harrison, and Alexander Lex. 2025. ReVISit 2: A Full Experiment Life Cycle User Study Framework. arXiv preprint arXiv:2508.03876. Best Paper Award, IEEE VIS 2025.
• Areen Khalaila, Lane Harrison, Nam Wook Kim, and Dylan Cashman. 2025. “They Aren’t Built for Me”: An Exploratory Study of Strategies for Measurement of Graphical Primitives in Tactile Graphics. arXiv preprint arXiv:2508.14289. Best Paper Award, IEEE VIS 2025.
• W. G. Lily, Anne-Flore Cabouat, Karen Bonilla, Yuan Cui, Yiren Ding, Noëlle Rakotondravony, Mackenzie Michael Creamer, Jasmine Tan Otto, Maryam Hedayati, Bum Chul Kwon, et al. 2025. An Autoethnography on Visualization Literacy: A Wicked Measurement Problem. IEEE Trans. Vis. Comput. Graph. (2025).
• Matthew Varona, Karen Bonilla, Maryam Hedayati, Alark Joshi, Lane Harrison, Matthew Kay, and Carolina Nobre. 2025. The State of the Art in Visualization Literacy. arXiv preprint arXiv:2509.01018.
• Michael Correll and Lane Harrison. 2025. A Priest, a Rabbi, and an Atheist Walk into an Error Bar: Religious Meditations on Uncertainty Visualization. arXiv preprint arXiv:2509.08213.
• Hilson Shrestha, Bijesh Shrestha, and Lane Harrison. 2025. recVisit: Enabling Experimentation and Evaluation in Recommender System User Interfaces. Laboratory for Analytic Sciences (2025).
• Bijesh Shrestha, Hilson Shrestha, Karen Bonilla, Lane T. Harrison, and R. Jordan Crouser. 2025. Faster, Smarter, User-Aligned: EvalOps and the Future of Integrated Evaluation for the IC. Laboratory for Analytic Sciences (2025).
• Abigail Browning and Lane Harrison et al. 2025. Exploring Contradictions with OpenTLDR. Laboratory for Analytic Sciences (2025).
• Mallak Alkhathlan, Hilson Shrestha, Lane Harrison, and Elke Rundensteiner. 2025. Exploring “Just Noticeable” Group Fairness in Rankings. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES ’25), 8, 1 (2025), 76–89.
• Reilly Norum, Ji-Eun Lee, Erin Ottmar, and Lane Harrison. 2024. Student Profiles Based on In-Game Performance and Help-Seeking Behaviours in an Online Mathematics Game. Br. J. Educ. Technol. 55, 6 (2024), 2697–2718.
• Akim Ndlovu, Hilson Shrestha, Evan M. Peck, Lane Harrison. SurpriseSync: Visual Exploration for De-biased Choropleth Maps. 2024 IEEE Visualization and Visual Analytics (VIS) | Poster Paper.
• Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke Rundensteiner, Lane Harrison. Exploring Fairness across Many Rankings. 2024 IEEE Visualization and Visual Analytics (VIS) | Poster Paper.
• Noëlle Rakotondravony, Henintsoa Andrianarivony, Taratra Raharison, Lane Harrison. 2024 CHI Workshop: Toward a More Comprehensive Understanding of Visualization Literacy Exploring multilingual and culturally-adapted visualization literacy assessments.
• R Norum, JE Lee, E Ottmar, L Harrison. Student profiles based on in‐game performance and help‐seeking behaviours in an online mathematics game. British Journal of Educational Technology 55 (6), 2697-2718.
• Z Cutler, L Harrison, C Nobre, A Lex. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems Crowdsourced Think-Aloud Studies.
• J Wilburn, H Shrestha, Z Cutler, Y Ding, BC Bollen, C Nobre, L Harrison. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors Running Online User Studies with the reVISit Framework.

Prof. Dmitry Korkin’s Publications:

• Foord, C., Prjibelski, A. D., Hu, W., Michielsen, L., Vandelli, A., Narykov, O., ... Korkin, D., Alexandru I Tomescu AI, & Tilgner, H. U. (2025). A spatial long-read approach at near-single-cell resolution reveals developmental regulation of splicing and polyadenylation sites in distinct cortical layers and cell types. Nature Communications, 16(1), 8093.
• Murali, M., Saquing, J., Lu, S., Gao, Z., Watts, E.F., Jordan, B., Wakefield, Z.P., Fiszbein, A., Cooper, D.R., Castaldi, P.J. and Korkin, D., & Sheynkman, G. (2025). Biosurfer for systematic tracking of regulatory mechanisms leading to protein isoform diversity. Genome Research, 35(4), pp.1012-1024.
• Hiscox, C., Li, J., Gao, Z., Korkin, D., Furlong, C., & Billiar, K. (2025). Nondestructive Mechanical Characterization of Bioengineered Tissues by Digital Holography. ACS Biomaterials Science & Engineering, 11(2), 1051-1059.
• Sun H, Vargas-Blanco DA, Zhou Y, Masiello CS, Kelly JM, Moy JK, Korkin D, Shell SS. Diverse intrinsic properties shape transcript stability and stabilization in Mycolicibacterium smegmatis. NAR Genomics and Bioinformatics. 2024 Dec;6(4): lqae147.

Prof. Kyumin Lee’s Publications: 

• Diego Cardeñosa, Zhuang Luo, Kyumin Lee, Emma Aitken, Maria A. Herrera, DeEtta Mills, John Carlson, Gavin Naylor. Accepted. Integrating portable qPCR and image recognition to combat illegal trade in sharks and rays. Scientific Reports.
• Zhuang Luo, Yichuan Li, Zexing Xu, Kyumin Lee, and S. Rasoul Etesami. 2025. FaithfulPersona: Balancing Faithfulness and Personalization in Code Explanations through Self-Critique. In Findings of the Association for Computational Linguistics: NAACL.
• Yichuan Li, Xinyang Zhang, Chenwei Zhang, Mao Li, Tianyi Liu, Pei Chen, Yifan Gao, Kyumin Lee, Kaize Ding, Zhengyang Wang, Zhihan Zhang, Jingbo Shang, Xian Li, and Trishul Chilimbi. 2025. ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL).
• W. Ge, G. Mou, E. O. Agu, and K. Lee. Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition, PerCom 2025.
• D. You, and K. Lee. Context-Aware Diffusion-based Sequential Recommendation, BigData 2024.
• X. Zhou, and K. Lee. ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation, BigData 2024.
• Z. Hu, Y. Li, Z. Chen, J. Wang, H. Liu, K. Lee, and K. Ding. Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning, EMNLP Findings 2024.
• W. Ge, G. Mou, E. O. Agu, and K. Lee. Contrastive Learning with Auxiliary User Detection for Identifying Activities, ICMLA 2024.

Prof. Yanhua Li’s Publications: 

• Zhihao Wang, Yiqun Xie, Lei Ma, George Hurtt, Xiaowei Jia, Yanhua Li, Ruohan Li, Zhili Li, and Shuo Xu. 2025.Carbon-Bench: A Forty-year Global-scale Benchmark Dataset for Carbon Forecasting in Forest Ecosystems. Proc. NeurIPS 2025 (Thirty-ninth Conference on Neural Information Processing Systems, Datasets and Benchmarks Track, San Diego, CA, USA, December 2–7, 2025).
• Yuhang Liu, Yingxue Zhang, Xin Zhang, Yanhua Li, and Jun Luo. 2025. UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models. Proc. 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ’25), Toronto, ON, Canada, August 3–7, 2025.
• Yuhang Liu, Yingxue Zhang, Xin Zhang, Yu Yang, Yanhua Li, and Jun Luo. 2025. MARCEL: Multifaceted Spatial-Temporal Contrastive Learning for Generic Spatial-Temporal Representations. Proc. 25th IEEE International Conference on Data Mining (ICDM ’25), Washington, DC, USA, November 12–15, 2025.
• Mingzhi Hu, Xin Zhang, Yanhua Li, and Jun Luo. 2025. KG-STFT: Knowledge Graph-Guided Human-Generated Spatial-Temporal Cross-task Fine-Tuning. Proc. 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’25), Minneapolis, MN, USA, November 3–6, 2025.
• Shiyuan Luo, Runlong Yu, Shengyu Chen, Yingda Fan, Yiqun Xie, Yanhua Li, and Xiaowei Jia. 2025. Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales. Proc. 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’25), Minneapolis, MN, USA, November 3–6, 2025.

Prof. Raha Moraffah’s Publications:

• Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, and Huan Liu. “Zero‑shot LLM‑guided Counterfactual Generation for Text.” IEEE International Conference on Big Data (Big Data) (2024).
• Paras Sheth, Tharindu Kumarage, Raha Moraffah, Joshua Garland, and Huan Liu. “Cross‑Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement.” IEEE International Conference on Big Data (Big Data) (2024).
• Zhen Tan*, Chengshuai Zhao*, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, and Huan Liu. “Glue pizza and eat rocks”–Exploiting Vulnerabilities in Retrieval‑Augmented Generative Models. EMNLP (2024).

Prof. Jennifer Mortensen’s Publications: 

• Jennifer Mortensen. 2025. WIP: Can specification grading with resubmissions improve the quality of student programming? Paper presented at 2025 ASEE Annual Conference & Exposition, Montreal, Quebec, Canada. https://doi.org/10.18260/1-2--57383.

 

Prof. Fabricio Murai's Publications:

• Chiman Salavati, Shannon Song, Scott A. Hale, Roberto Montenegro, Shiri Dori-Hacohen, Fabricio Murai. 2025. AI-Powered Detection of Inappropriate Language in Medical School Curric-ula. AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES).
• Yiqing Zhang, Xiaozhong Liu, Fabricio Murai. 2025. CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs. ACM Conference on Knowledge Discovery and Data Mining (KDD).
• Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine A Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew J Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen. 2025. Stop treating ‘AGI’ as the north-star goal of AI research. International Conference on Machine Learning Position Paper Track (ICML).
• Yiqing Zhang, Xiaozhong Liu, Fabricio Murai. 2025. MEXA-CTP: Mode Experts Cross-Attention for Clinical Trial Outcome Prediction. SIAM International Conference on Data Mining (SDM).
• Rodrigo Andrade Santos, Jefersson A. dos Santos, Fabricio Murai. Unpacking ‘Baby’: XAI-based Intra-Class Hierarchies for Understanding Model Biases. 2025. Privacy, Fairness, Accountability and Transparency in Computer Vision (PFATCV@BMVC).
• Phong Cao, Jacob Molnia, Elizabeth Stanish, Shannon Song, and Fabricio Murai. LLM-guided Feature Selection for Time Series Models in Small Data Regimes: A Case Study on Migration Flows. 2025. IEEE MIT Undergraduate Research and Technology Conference (URTC).
• Kai Zhang, Rui Zhu, Shutian Ma, Fabricio Murai, Jingwei Xiong, Yejin Kim and Xiaozhong Liu. 2025. KEDRec-LM: A Knowledge-distilled Explainable Drug Recommendation Large Language Model. Workshop on New Interaction Paradigms for Information Retrieval in the Era of Generative AI (NIP@IR).
• Pedro H. Barros, Fabricio Murai, Amir Houmansadr, Alejandro C. Frery, Heitor S. Ramos. “Variational Inference in Similarity Spaces: A Bayesian Approach to Personalized Federated Learning.” In Bayesian Decision-making and Uncertainty Workshop at NeurIPS 2024.

Prof. Rodica Neamtu’s Publications:

• Stephen Price. Kiran Judd, Kyle Tsaknopolous Danielle Cote, Rodica Neamtu. DualSight: Multi-Stage Instance Segmentation Framework for Improved Precision", Scientific Reports in Nature Journal 2025.
• Bernice Ngwi Abraham, Elvis Twumasic, Desmond Edem Primus Klenamd, Tabiri Kwayie Asumadub, Abdulhakeem Belloa, Vitalis Chioh Anyea, Rodica Neamtu, Wole Soboyejo "Machine learning guided design of doped Lithium Lanthanum Zirconium Oxide (LLZO) solid electrolyte for improved performance '' presented at 5th World Conference on Solid Electrolytes for Advanced Applications: Garnets and Beyond, Stanford University August 2025.
• Path to Achieving Success and Sense of Belonging in CS at WPI. Rodica Neamtu (PI), Crystal Brown (Co-PI), Debra Boucher (Co-PI), Kathy Chen, Matthew Ahrens, Erin Solovey, Francesca Bernardi, Thomas Noviello. Presented at 2024 S-STEM Scholars & PI Meeting, Chicago 2024.
• Stephen Price, Kiran Judd, Matt Gleason*, Kyle Tsaknopoulos, Danielle L. Cote, Rodica Neamtu, "Advancing Wire Arc DED: Analyzing Impact of Materials and Parameters on Bead Shape", In Metals Special Issue: Optimization of Metal Additive Manufacturing Processes (Volume 2), 2024.
• Stephen Price, Kiran Judd, Matthew Gleason, Kyle Tsaknopoulos, Danielle L. Cote, Rodica Neamtu, Analyzing Impact of Processing Parameters and Material Properties on Symmetry of Wire-Arc Directed Energy Deposit Beads, in Metals Journal Special Issue Editorial Board Members’ Collection Series: Additive Manufacturing Technology, 2024.
• Stephen Price*, Kyle Tsaknopoulos, Danielle Cote, Rodica Neamtu, ''Data-Driven Optimization of Wire Arc Directed Energy Deposition Manufacturing Conditions for Improved Bead Shape Prediction " at the Material Science and Technology Conference (MS&T) in the Graduate Poster Competition, March 2024. This poster won First Place in the Graduate Student Competition.
• Stephen Price*, Kyle Tsaknopoulos, Danielle Cote, Rodica Neamtu, “Empowering Non-Destructive Powder Evaluation with Accessible AI Tools” at the TMS Specialty Symposium, 2024.

Prof. Daniel Reichman’s Publications: 

• Ori Plonsky, Reut Apel, Eyal Ert, Moshe Tennenholtz, David Bourgin, Joshua Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell, Evan C. Carter, James F. Cavanagh, Ido Erev, “Predicting human decisions with behavioral theories and machine learning,” Nature Human Behaviour, accepted for publication.
• Moritz Stargalla, Christoph Hertrich, Daniel Reichman, “The computational complexity of counting linear regions in ReLU neural networks,” Advances in Neural Information Processing Systems (NeurIPS), 2025.
• Miranda Christ, Daniel Reichman, Jonathan Shafer, “Protocols for verifying smooth strategies in bandits and games,” Advances in Neural Information Processing Systems (NeurIPS), 2025.
• Itay Safran, Daniel Reichman, Paul Valiant, “Depth separations in neural networks: separating the dimension from the accuracy,” Conference on Learning Theory (COLT), 2025.
• Mason DiCicco, Vladimir Podolskii, Daniel Reichman, “Nearest Neighbor Complexity and Boolean Circuits,” Innovations in Theoretical Computer Science (ITCS), 2025.
• George Heineman, Chase Miller, Andrew Salls, Gabor Sarkozy, Daniel Reichman, Duncan Soiffer, “Exploring longest common subsequences and the Chv´atal-Sankoff constant,” IEEE International Symposium on Information Theory (ISIT), 2025.
• Peter Cordone, Ravit Heskiau, Lane Harrison, Yahel Nachum, Daniel Reichman, “Reducing discounting through bar chart visualization,” Society for Judgment and Decision Making (SJDM) Annual Meeting, 2025.
• Mason DiCicco, Henry Poskanzer, Daniel Reichman, “Inoculation strategies for bounded degree graphs,” Theoretical Computer Science, accepted for publication.
• Safran, I., Reichman, D., & Valiant, P. Depth Separations in Neural Networks: Separating the Dimension from the Accuracy. The 38th Annual Conference on Learning Theory (COLT), 2025.
• Heineman, G. T., Miller, C., Reichman, D., Salls, A., Sárközy, G., & Soiffer, D. Improved Lower Bounds on the Expected Length of Longest Common Subsequences. IEEE International Symposium on Information Theory (ISIT), 2025.

Prof. Gabor Sarkozy’s Publications: 

• Janos Barat and Andras Gyarfas, Gabor Sarkozy. “Clique covers of complete graphs and piercing multitrack intervals.” Electronic Journal of Combinatorics 32 (3), 2025, P3.45.
• Duncan Soiffer, Andrew Salls, Chase Miller, Daniel Reichman, Gabor Sarkozy and George Heineman. “Improved lower bounds on the expected length of longest common subsequences.” 2025 IEEE International Symposium on Information Theory (ISIT).

Prof. Roee Shraga’s Publications: 

• Bar Genossar, Sagi Dalyot, Roee Shraga, and Avigdor Gal. 3dsager: Geospatial entity resolution over 3d objects. Proc. ACM Manag. Data (to appear and to-be-presented at SIGMOD2026), 2026.
• Aamod Khatiwada, Roee Shraga, and Ren´ee J. Miller. Diverse unionable tuple search: Novelty-driven discovery in data lakes. International Conference on Extending Database Technology, EDBT, 2026.
• Aamod Khatiwada, Roee Shraga, and Ren´ee J. Miller. Fuzzy integration of data lake tables. International Conference on Extending Database Technology, EDBT, 2026.
• Sreeram Marimuthu, Nina Klimenkova, and Roee Shraga. Humans, machine learning, and language models in union: A cognitive study on table unionability. In Proceedings of the Workshop on Human-In- the-Loop Data Analytics, HILDA@SIGMOD. ACM, 2025.
• Inbar Nachmani, Bar Genossar, Coral Scharf, Roee Shraga, and Avigdor Gal. Slace: A monotone and balance-sensitive loss function for ordinal regression. In Proceedings of the AAAI Conference on Artificial Intelligence, AAAI, 2025.
• Alexander Brinkmann, Roee Shraga, and Christian Bizer. Extractgpt: Exploring the potential of large language models for product attribute value extraction. In International Conference on Information Integration and Web Intelligence, iiWAS, 2024 (best paper).
• Daniel C. Fox*, Aamod Khatiwada, and Roee Shraga. A generative benchmark creation framework for detecting common data table versions. In Proceedings of the ACM International Conference on Information & Knowledge Management, CIKM, 2024.

Prof. Craig Shue’s Publications: 

• Shuwen Liu, Craig A. Shue, Joseph P. Petitti, Yunsen Lei, and Yu Liu. 2025. Mobile SDNs: Associating End-User Commands with Network Flows in Android Devices. Wiley IET Communications (May 2025).
• Yunsen Lei and Craig A. Shue. 2025 Making (Only) the Right Calls: Preventing Remote Code Execution Attacks in PHP Applications with Contextual, State-Sensitive System Call Filtering. Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA) conference (July 2025).
• Shuwen Liu and Craig A. Shue. Functional Control: Leveraging Function-as-a-Service Platforms for Software-Defined Networking Controllers. ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), (October 2025).

Prof. Erin Solovey’s Publications: 

• Chao Wang, Yuanyuan Gao, Xiaojun Cheng, Xiaosu Hu, Erin T. Solovey, Yingzi Lin, Shichao Liu. 2025. The Influence of In-Car Air Quality on Drivers’ Brain States with Hybrid fNIRS and EEG. Building and Environment 286: 113678. https://doi.org/10.1016/j.buildenv.2025.113678
• Erin Solovey, Brian Flanagan, Daniel Chen. 2025. Interacting with AI at Work: Perceptions and Opportunities from the UK Judiciary. In Proc. of Symposium on Human-Computer Interaction for Work (CHIWORK), June 23-25, Amsterdam, The Netherlands. Best Paper Award.
• Tess B. Meier, Kehan Yang, Andrew Daudelin, Gregory S. Fischer, Gretchen R. Meier, Benjamin Nephew, Erin T. Solovey, and Christopher J. Nycz. User Testing for Performance and Brain Engagement With the Hope Hand Exoskeleton for Individuals With Spasticity Due to Brain Injury. In 2025 International Conference On Rehabilitation Robotics (ICORR), pp. 821-828. IEEE, 2025.
• Yoana Ahmetoglu, Sowmya Somanath, Carine Lallemand, Erin T. Solovey, Duncan P. Brumby, and Anna L. Cox. 2025. Paving the Way for AI that Supports Flourishing at Work. In CHIWORK Companion ’25: Companion Proceedings of the Annual Symposium on Human-Computer Interaction for Work (CHIWork’25). ACM, New York, NY, USA, 6 pages. (Workshop Proposal).
• Tess B. Meier, Kehan Yang, Andrew Daudelin, Christpher J. Nycz, Loris Fichera, Benjamin Nephew, Erin T. Solovey, Gregory S. Fischer. 2025 Co-registration of brain activation from concurrent fNIRS and fMRI during hand exoskeleton use towards monitoring neurorehabilitation. In: Proceedings of the 17th Hamlyn Symposium on Medical Robotics 2025., 24-27 Jun 2025, London, UK. pp. 175-176.
• Khulood Alkhudaidi, Tish Burke, Rachel Boll, Shruti Mahajan, Erin T. Solovey, and Jeanne Reis. 2025. Perceptions and Preferences: Deaf ASL-Signing Users’ Insights on Video Elements, Styles and Layouts. In CHI Conference on Human Factors in Computing Systems (CHI ’25), April 26–May 01, 2025, Yokohama, Japan. ACM, New York, NY, USA, 20 pages. https://doi.org/10.1145/3706598.3714296
• Shruti Mahajan, Rachel Boll, Khulood Alkhudaidi, Jeanne Reis, and Erin T. Solovey. 2025. Conducting HCI Research with the Deaf Community in American Sign Language: Practices and Experiences. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’25), April 26–May 01, 2025, Yokohama, Japan. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3706599.3706691 (To Appear).
• Teodora Mitrevska, Benjamin Tag, Monica Perusquia-Hernandez, Arinobu Niijima, Ludwig Sidenmark, Erin Solovey, Abdallah El Ali, Sven Mayer, and Francesco Chiossi. 2025. SIG PhysioCHI: Human-Centered Physiological Computing in Practice. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’25), April 26–May 01, 2025, Yokohama, Japan. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3706599.3716289
• Sonmez Unal, D., Solovey, E., Arrington, C.M., Walker, E. Modeling the phases of rule learning during problem solving with an interactive learning environment. User Model User-Adap Inter 35, 7 (2025). https://doi.org/10.1007/s11257-025-09426-4

Prof. Xiaoyan Sun’s Publications:

• Zhilong Wang, Chen Cao, Li Yu, Suhang Wang, Peng Liu, Xiaoyan Sun, Anoop Singhal, “DeepSanitizer: Combining Heuristic Rules and Deep Learning Models to Spot Silent Buffer Overflows in Binary.” IEEE Transactions on Dependable and Secure Computing (TDSC), Accepted in Nov 2025.
• Haowen Xu, Tianya Zhao, Xuyu Wang, Jun Dai, and Xiaoyan Sun, "MagWatch: Exposing Privacy Risks in Smartwatches through Electromagnetic Signals." The 27th International Conference on Information and Communications Security (ICICS), Nanjing, China, Oct 29-31, 2025.
• T. Zhao, J. Zhang, J. Dai, X. Sun, X. Wang, "Unveiling the Threat: Data-Free Backdoor Attacks on Pre-Trained Models for RF Fingerprinting." IEEE Transactions on Mobile Computing (TMC), Oct 2025.
• J. Jiang, J. Ju, H. Xu, Z. Tan, D. Ma, J. Dai and X. Sun, "VibLeak: Towards Practical Covert Data Leakage via Phone Vibrations." To appear in IEEE Military Communications Conference (MILCOM), Los Angeles, CA, USA, Oct 6-10, 2025.
• Tran Huynh, Haowen Xu, Brian Almaguer, Jun Dai, Xiaoyan Sun, "Towards Development of Ready-to-Use Hands-on Labs with Portable Operating Environments for Digital Forensics Education." The 49th IEEE International Conference on Computers, Software, and Applications (COMPSAC), Toronto, Canada, July 8-11, 2025.
• Tran Huynh, Haowen Xu, Brian Almaguer, Jun Dai, Xiaoyan Sun, "INFER: Enhancing Digital Forensics Education through Ready-to-Use Hands-on Labs with Portable Operating Environments." IFIP (International Federation for Information Processing) Working Group (WG) 11.8-World Conference on Information Security Education (WISE) 2025, Maribor, Slovenia, May 21-23, 2025.
• Lan Zhang, Anoop Singhal, Qingtian Zou, Xiaoyan Sun, Peng Liu, “Can AI Fix Buggy Code? Exploring the Opportunities and Obstacles for AI in Automated Program Repair.” IEEE Computer, be published in Jul 2025.
• Yining Luo, Baobao Li, Anoop Singhal, Peiyu Tseng, Lan Zhang, Qingtian Zou, Xiaoyan Sun and Peng Liu. “Exploring Prompt Patterns for Effective Vulnerability Repair in Real-World Code by Large Language Models.” 11th ACM International Workshop on Security and Privacy Analytics (IWSPA 2025), Pittsburg, Pennsylvania, 2025. Accepted.
• Tran Huynh, Ting Xu, Yinxin Wan, Jun Dai, Xiaoyan Sun, "Poster Abstract: Optimizing loT Cross-rule Vulnerability Detection through Reinforcement Learning-Based Fuzzing." The 23rd ACM Conference on Embedded Networked Sensor Systems (SenSys), Irvine, USA, May 6-9, 2025.
• Pei-Yu Tseng, Lan Zhang, Anoop Singhal, ZihDwo Yeh, Xushu Dai, Xiaoyan Sun, Peng Liu. Poster: Using LLMs to Automate Threat Intelligence Analysis Workflows in Security Operation Centers.” 46th IEEE Symposium on Security and Privacy (S&P 2025).
• Gennady Khalimov, Yevgen Kotukh, Alexandr Wyglinski, Xiaoyan Sun, Illia Dzhura, Gleb Khivrenko, “New Key Encapsulation Method for Authentication in 5G Network in Post-quantum Era.” 2025 International IOT, Electronics and Mechatronics Conference (IEMTRONICS), April 2025, Imperial College London, UK. Accepted.

Prof. Shubbhi Taneja’s Publications:

• A. Dasgupta, V. Margapuri, S. Shamoun, S. Taneja and M. Toups, "Hands-On Learning: Teaching Parallel and Distributed Computing through Unplugged Activities in Undergraduate CS Courses," SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, 2024, pp. 363-369.
• S.M. Nabavinejad, W. Jia, S. Taneja and T. Guo. “CARBONDIS: Carbon-Aware DNN Inference Scheduling on Heterogeneous GPUs,” CCGrid 2025
• (Poster paper) A. Lisan, T. Patki, S. Brink, Y. Yang, S. Greene, K. Parasyris, S. Taneja, H. Childs,” PerfFlowAspect: A User-Friendly Performance Tool for Scientific Workflows,” Supercomputing (SC) 2024, Atlanta, GA. 

Prof. Hanmeng Zhan’s Publications:

• H. Zhan. Simple quantum coins enable pretty good state transfer on every hypercube.  Philosophical Transactions A: Mathematical, Physical and Engineering Sciences 383 (2025), no. 2306, 20240418. Theme issue: Numerical Analysis, Spectral Graph Theory, Orthogonal Polynomials, and Quantum Algorithms. https://Doi.org/10.1098/rsta.2024.0418
• A. Mohan, H. Zhan. Discrete quantum walks with marked vertices and their average vertex mixing matrix. Linear Algebra and its Applications 727 (2025), 336-367.  https://Doi.org/10.1016/j.laa.2025.08.013
• H. Zhan. $\epsilon$-uniform mixing in discrete quantum walks. Journal of Algebraic Combinatorics (2025), 61, 46. https://doi.org/10.1007/s10801-025-01431-5
• H. Kumar, B. Mohar, S. Pragada, H. Zhan. Subdivision and graph eigenvalues. Linear Algebra and its Applications (2025). https://doi.org/10.1016/j.laa.2025.01.044

Prof. Cheng Zhang’s Publications:

• Zhang, C., Kappé, T., Narváez, D. E., & Naus, N. (2025). CF-GKAT: Efficient Validation of Control-Flow Transformations. Proceedings of the ACM on Programming Languages, 9(POPL), 21:600-21:626.
  https://doi.org/10.1145/3704857
• Azevedo de Amorim, A., Zhang, C., & Gaboardi, M. (2025). Kleene Algebra with Commutativity Conditions Is Undecidable. LIPIcs, Volume 326, CSL 2025, 326, 36:1-36:25. https://doi.org/10.4230/LIPICS.CSL.2025.36

Professional Engagements and Leadership:  

• Matthew Ahrens presented a talk “Meme-making for Computational Thinking” at 2025 Massachusetts’ PKAL Regional Meeting on art in STEM. Letting Off Some STEAM: Getting Creative in STEM. https://www.aacu.org/event/2025-mass-pkal-summer-meeting
• Prof. Roee Shraga organized the HILDA (Human-In-the-Loop Data Analytics) workshop at the 2025 ACM SIGMOD/PODS.
• Prof. Roee Shraga is a guest editor for the special issue on HILDA (Human-In-the-Loop Data Analytics) workshop at the Information Systems Journal.
• Prof. Fabricio Murai organized 4^th meetup for Disabled in Computing at AAAI/ACM AIES 2024.
• Prof. Fabricio Murai organized 5^th meetup for Disabled in Computing at SIAM SDM 2025.
• Prof. Raha Moraffah serves as the editor for the special issue on “Generative Artificial Intelligence (AI) for Cybersecurity”
• Prof. Hanmeng Zhan organized the conference Algebraic Graph Theory and Applications at the Banff International Research Station with co-organizers Ada Chan, Gabriel Coutinho, Chris Godsil.
• Prof. Hanmeng Zhan organized the minisymposium Spectral Graph Theory, Orthogonal Polynomials, and Quantum Computing at the Third Joint SIAM/CAIMS annual meeting, with co-organizer Anastasiia Minenkova.
• Prof. Hanmeng Zhan organized the session Quantum Information on Graphs at the 2025 Canadian Discrete and Algorithmic Mathematics Conference, with co-organizers Thomas Jung Spier and Xiaohong Zhang
• Prof. Hanmeng Zhan was invited to give a talk “Quantum state transfer in association schemes” in Combinatorics around q-Onsager algebra, Kranjska gora, Slovenia, July 23 - 27, 2025.
• Prof. Hanmeng Zhan was invited to give a talk “New connections between quantum walks and graph spectra” in Canadian Mathematical Society Summer Meeting, Universite Laval, Qubec, QC, Canada, June 6 - 9, 2025.
• Prof. Hanmeng Zhan was invited to give two talks “Average mixing matrices of quantum walks” and “Discrete quantum walks in association schemes” in Canadian Discrete and Algorithmic Mathematics Conference, University of Ottawa, Ottawa, ON, Canada, May 20 - 23, 2025.
• Prof. Hanmeng Zhan was invited to give a talk “Quantum state transfer with fair and unfair coins” in American Mathematical Society Sectional Meeting, University of Connecticut, Hartford, CT United States, April 5 - 6, 2025.
• Prof. Hanmeng Zhan was invited to give a talk “Coined quantum walks and weighted adjacency matrices” in Joint Mathematics Meetings, Seattle Convention Center, Seattle, WA, United States, January 8 - 11, 2025.
• Prof. Hanmeng Zhan was invited to give a talk “Limiting behavior of coined quantum walks with marked vertices” in Canadian Mathematical Society Winter Meeting, Kwantlen Polytechnic University, Vancouver, BC, Canada, November 29 - December 2, 2024.  
• Prof. Hanmeng Zhan was invited to give a talk “Recent progress in coined quantum walks” in Movement and Symmetry in Graphs, Banff International Research Station for Mathematical Innovation and Discovery, Banff, AB, Canada, November 24 - 29, 2024.
• Prof. Hanmeng Zhan was invited to give a talk “Walking on graphs with a quantum coin” in Math Colloquium, University of Manitoba, Winnipeg, MB, Canada, November 21, 2024.          
• Prof. Hanmeng Zhan was invited to give a talk “Laplacian fractional revival on graphs” in Math Colloquium, University of Hartford, Hartford, CT, United States, October 4, 2024.
• Prof. Cheng Zhang give a talk “TopKAT: When Algebra Proposes to Program Logic” at Theory and Practice of Static Analysis (TPSA 2025) Workshop Denver, CO, United States, Jan 21, 2025.
• Prof. Cheng Zhang give a talk “CF-GKAT: Efficient Validation of Control-Flow Transformations” at 52nd ACM SIGPLAN Symposium on Principles of Programming Languages (POPL 2025) Denver, CO, United States, Jan 23, 2025.
• Prof Rodica Neamtu was an invited panelist for the PKAL Winter Meeting 2025 AI as a Tool in STEM Education: Challenges and Opportunities. Panel topic: Consideration of Ethics, Access, and Equity for AI in Academia.
• Prof Rodica Neamtu was an invited Panelist AI & Democracy: A Symposium to Discuss Opportunities & Challenges at UMASS Amherst April 2025.
• Prof Rodica Neamtu is the PI of the NSF S-STEM grant “Path to Achieving Success and Sense of Belonging in Computer Science (PASS-CS)”, which welcomed its second cohort of scholars to WPI on August 6, 2025. Scholars participated in a Mini Bridge before joining the Connections program. The mini bridge, led by Prof Matthew Ahrens and Prof Keenan Kidwel, included activities centered around computer science, hidden curriculum, and included student and expert panels discussing opportunities for engagement within and outside the WPI community. The scholars also met and worked with other dedicated faculty and staff who have created wraparound programming to support them during their academic journey. The grant has been awarded so far 30 scholarships. The leadership team of the grant consists of faculty and staff from multiple departments, including four CS faculty. (Prof Rodica Neamtu, Debra Boucher, Prof Crystal Brown, Prof Matthew Ahrens, Prof Francesca Bernardi, Prof Erin Solovey, Prof Lane Harrison, Prof Keenan Kidwel).
• Prof. Erin Solovey served as the Technical Program Chair for the 2025 Symposium on Human-Computer Interaction for Work (CHIWORK’25).
• Prof. Erin Solovey served as the subcommittee chair for the 2025 Understanding People Subcommittee at the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI’25) and is serving this role again for the CHI'26 conference.
• Prof. Erin Solovey served on the program committee for the 2025 ACM IUI workshop on Human-AI Co-Creation with Generative Models.
• Prof. Erin Solovey was one of the organizers of a workshop titled “Paving the Way for AI that Supports Flourishing at Work” at the CHIWORK’25 conference.
• Prof. Erin Solovey was one of the organizers for the CHI’25 Special Interest Group (SIG) titled “PhysioCHI: Human-Centered Physiological Computing in Practice.”
• Prof. Erin Solovey gave an invited talk at Harvard University “Thinking with AI: The Role of Brain Sensing in Human-AI Interaction.”
• Prof. Erin Solovey gave an invited talk at Yale University / Wu Tsai Institute titled “Thinking with AI: The Role of Brain Sensing in Human-AI Interaction.”
• Prof. Erin Solovey is the PI and co-director of the NSF-funded Research Experiences for Teachers Site on “Engineering for People and the Planet: Research Experiences for Teaching Integrated STEM” along with Kathy Chen from the WPI STEM Education Center. After three successful years, we secured a renewal grant from NSF to fund an additional 3 years of the program. In summer of 2025, with this funding, we made several changes to strengthen the program and welcomed the fourth cohort of 8 in-service and pre-service teachers to WPI to work on authentic research projects across WPI aligned with the UN Sustainable Development Goals and related to workforce development needs. Topics included: Magnesium Production and Recycling for Clean Energy, Removing PFAS from Contaminated Soils, Engineering Bench-Top Testing of Interventional Devices for Cardiovascular Diseases, and Antibiotic Resistance in Mycobacteria. The UN Sustainable Development Goals unify these research projects as "Engineering for People and the Planet," and provide a context and platform for teaching "Integrated STEM," leading to effective and engaged K-12 learning. More info: https://wp.wpi.edu/ret-stem/
• Prof. Erin Solovey was interviewed by James O’Donnell at MIT Technology Review (August 11, 2025) on “Meet the early-adopter judges using AI.” More info: https://www.technologyreview.com/2025/08/11/1121460/meet-the-early-adopter-judges-using-ai/
• Prof. Erin Solovey was interviewed by Village at Village Magazine Ireland (June 20, 2025) on “No judical drones.” More info: https://villagemagazine.ie/judic-ai-l-drones/
• Prof. Erin Solovey was interviewed by Joshua Rozenberg at A Lawyer Writes (June 20, 2025) on “AI Risks and Opportunities.” More info: https://rozenberg.substack.com/p/ai-risks-and-opportunities
• Prof. Erin Solovey was interviewed by Joshua Rozenberg at The Law Society Gazette (June 20, 2025) on “What do judges think of artificial intelligence?” More info: https://edition.pagesuite.com/html5/reader/production/default.aspx?pnum=13&edid=5739fca4-a2d5-42cf-bc0a-edb07e25152b&isshared=true
• Prof. Erin Solovey was interviewed by Jonathan Ames at The Times (June 18, 2025) on “Robots won’t replace us, say judges.” More info: https://www.thetimes.com/uk/law/article/robots-wont-replace-us-say-judges-97sfzkpn6
• Prof. Erin Solovey was interviewed by Michael Cross at The Law Society Gazette (June 18, 2025) on “We can’t have a room of robots’: senior judges reveal thoughts on AI.” More info: https://www.lawgazette.co.uk/news/we-cant-have-a-room-of-robots-senior-judges-reveal-thoughts-on-ai/5123606.article

Student News:  

Ph.D. Students – Graduated:  

• Christopher Micek. Advisor: Erin Solovey. Dissertation title: “Mindful Machines: Enabling HCI Research Exploring Novel Brain-Driven Interaction Paradigms for Collaboration.”
• Khulood Alkhudaidi. Advisor: Erin Solovey. Dissertation title: “Steps Toward Sign Language-Centric User Interfaces Guidelines Through Culturally Aligned Research Practices.”
• Shruti Mahajan. Advisor: Erin Solovey. Dissertation title: “Creating Signed Language Resources to Increase Access and Representation of the Deaf Community and Advance SL-centered Research.”
• Mason DiCicco. Advisor: Daniel Reichman. Dissertation title: “Computational Complexity Across Models: Communication, Circuits, and Learning.”
• Yiqin Zhao. Advisor: Tian Guo. Dissertation title: “Dynamic Lighting Estimation for Augmented Reality Systems.”