Computational Behavior Modeling for Personalized Health Guest Speaker: Dr. Afsaneh Doryab, Assistant Professor of Computer Science and Systems Engineering at the University of Virginia Moderated by Dr. Reza Rawassizadeh, Associate Professor of Computer Science, Boston University Metropolitan College Friday, February 2 at 10:00 AM EST Abstract: Humans interact extensively with a wide range of computing devices, […]
Guest Speaker: Dr. Nicholas D. Lane, Professor in the Department of Computer Science and Technology at the University of Cambridge and a Fellow at St. John’s College. Moderated by Dr. Reza Rawassizadeh, Associate Professor of Computer Science. October 23rd, 2023 Abstract: The vast majority of machine learning (ML) occurs today in a data center. But […]
Guest Speaker: Dr. Shahram Rahimi, Gloria & Douglas Marchant Endowed Chair, Professor and Head of the Department of Computer Science and Engineering at Mississippi State University Moderated by Dr. Reza Rawassizadeh, Associate Professor of Computer Science, Boston University Metropolitan College September 29, 2023 Abstract: An innovative and forward-looking hybrid predictive analytics algorithm will be presented. […]
Guest Speaker: Dr. Akane Sano, Assistant Professor of Electrical and Computer Engineering, Rice University Moderated by Dr. Reza Rawassizadeh, Associate Professor of Computer Science, Boston University Metropolitan College April 21, 2023 Abstract: What if we can design data driven + human centered personalized feedback loop systems for patients, clinical stakeholders, and healthy people for […]
Data-Efficient Deep Learning using Physics-Informed Neural Networks Guest Speaker: Dr. Maziar Raissi, Assistant Professor of Applied Mathematics, University of Colorado Boulder Moderated by Dr. Reza Rawassizadeh, Associate Professor of Computer Science, Boston University Metropolitan College Mar 24, 2023 Abstract: A grand challenge with great opportunities is to develop a coherent framework that enables blending conservation […]
Systems Research Towards Solving Societal Problems February 27, 2023 Abstract: Much of systems and networking research focusses on improving performance, often defined in terms of throughput, latency, and robustness. Our lab have been focusing on systems research that also has societal impact. I will describe two such research threads: one on sustainable NLP and the […]
MaRz: Machine Learning on the Fly January 9, 2023 Abstract: This research concerns machine learning on the fly, for problems where learning data changes continually, or where waiting for the system to learn is impractical. The principle behind MaRz (Machine Learning in Real Time by Fuzzification) is a fuzzy interpretation of data. This is […]
Guest Speaker: Dr. Hamed Haddadi, Reader in Human-Centered Systems, Department of Computing, Imperial College London Moderated by: Dr. Reza Rawassizadeh, Associate Professor of Computer Science December 9, 2022 Abstract: In the next 5 years, I aim to address a major challenge in the adoption of user-centered privacy-enhancing technologies: Can we leverage novel architectures to provide […]
Guest Speaker: Dr. Koji Yatani, Associate Professor, School of Engineering, University of Tokyo Moderated by Dr. Reza Rawassizadeh, Associate Professor of Computer Science November 15, 2022 Abstract: Interweaving technology into our daily life is a dream of ubiquitous computing. Such integration not only achieves indistinguishability of technology, but also creates additional values and benefits in existing user […]
Guest Speaker:Dr. Gregory D. Abowd, Dean of the College of Engineering, Northeastern University Moderated by Dr. Reza Rawassizadeh, Associate Professor of Computer Science October 3,2022 Abstract: If we trace how computers have evolved over the past 8 or so decades, we can certainly see the impact of increasingly sophisticated manufacturing techniques. Computers now come in […]