| Sep 29, 2026 | 📄 Our review “Energy-Efficient AI for Foundation Models: Algorithms, Hardware, and Data Center Infrastructure” is now published in Computers 15(10), 660. Thank you to our Quinnipiac student co-authors Koushik, Ranjot, Hellen, Nirmit, Alex, and Moses, and to Dean Taskin Kocak. |
| Sep 18, 2026 | 🎉 Our review “Energy-Efficient AI for Foundation Models: Algorithms, Hardware, and Data Center Infrastructure” has been accepted for publication in Computers (MDPI)! Congratulations to our Quinnipiac student co-authors Koushik, Ranjot, Hellen, Nirmit, Alex, and Moses, and to Dean Taskin Kocak. |
| Sep 14, 2026 | 🎉 Exciting news! Three papers from our group have been accepted to IEEE ISAIA 2026 (Montclair, NJ, October 9–10)! Congratulations to the teams on HERO-S: QPU-Aware Energy-Latency Orchestration for AIoT Intrusion Detection, Comparative Study of Feature Dimensionality and Model Capacity in Earthquake Forecasting, and MAVIS: A Visual LLM Multi-Agent System for Marketing Analysis of Advertisement Campaigns in an AI Village. |
| Sep 05, 2026 | 🧪 Our lab has been approved for the Claude Team Plan for Scientists from Anthropic, which will support our students’ research on AI for scientific discovery. |
| Sep 05, 2026 | 🤝 Our joint project with Óbuda University, Energy-Optimized Adaptive Lighting System for Agriculture, has been funded by the QU-OU Joint Research Grant! |
| Sep 01, 2026 | đź’» Our lab secured a donated one-year academic license of Synopsys EDA software, including Sentaurus TCAD, through the Synopsys Academic & Research Alliances (SARA) program. These tools will support our research on AI for semiconductor device design and simulation. |
| May 20, 2026 | 📄 Our student-led paper “wRIST: Robotic Intermediate Sign Translator for Humanoid Robot Speech-to-Sign Language Translation” has been published in the 2026 IEEE World AI IoT Congress (AIIoT)! Congratulations to the Quinnipiac student team and our collaborators Prof. Chetan Jaiswal and Prof. Cameron LaMack. |
| Sep 15, 2025 | 📄 Our comprehensive review “Machine learning for 2D material-based devices” has been published in Materials Science and Engineering: R: Reports (Impact Factor: 31.6)! This work explores the transformative role of machine learning in advancing two-dimensional materials research and device development. |
| Aug 15, 2025 | 🎉 Exciting news! Our correspondence “Don’t train medical AI on patients’ data without their knowledge” has been accepted for publication in Nature ! Congratulations to Toral! |
| Aug 01, 2025 | 🎓 Exciting news! I’ve joined Quinnipiac University’s School of Computing & Engineering as an Assistant Professor. I’m thrilled to be part of the newly launched Informatics programs specializing in Healthcare, Law, and Data Science, with exciting collaborative opportunities between the Schools of Computing, Law, and Medicine. |
| Jun 10, 2025 | 🎉 Welcome Toral Banerjee, our new undergraduate research assistant! We’re excited to have you join our research team. |
| May 07, 2025 | 🎉 Welcome Tom Ni, our new undergraduate research assistant! We’re excited to have you join our research team. |
| Mar 17, 2025 | 🎉 Thrilled to welcome three new undergraduate researchers to our lab: Lucian Terhorst, Samar Khoso, and Matthew Zaluski! Looking forward to their contributions to our research projects. |
| Mar 10, 2025 | 🎉 Excited to announce I’m guest editing a Special Issue on “Trends and Applications of Distributed Artificial Intelligence (AI) and Associated Systems” for the MDPI journal Electronics! Interested in contributing? Check out the Special Issue page for more details. Submissions welcome! 📚🤖 |
| Jan 01, 2025 | 🎯 Currently serving as Assistant Professor of Computer Science at Quinnipiac University, focusing on AI/ML applications in semiconductor design and computational materials science. |
| Nov 24, 2024 | 🎉 Excited to welcome Kendall, an undergraduate researcher, to our group! |
| Nov 07, 2024 | Excited to be a collaborator on “Abstract2Appendix: Academic Reviews Enhance LLM Long-Context Capabilities”, now available on arXiv! 🤝 Our work explores how academic peer review data can enhance LLMs’ long-context capabilities. 📚 |
| Sep 27, 2024 | 🎉 Excited to welcome Kadin, an undergraduate researcher, to our group! He will be working on Applied AI applications in semiconductor devices. |