While this is not the Open House Day for Admitted Students we had envisioned and looked forward to, we are here to give you an experience almost as good as the real deal would have been.
The day includes a variety of sessions and resources that we hope will provide you with all the information you need to make the important college decision you are embarking on!
Webex information:
https://rutgers.webex.com/rutgers/j.php?MTID=mb4903394cec19b58f7f5bb84b8...
Meeting number (access code): 795 599 599
Meeting password: XpJTf5MZ45A
Title: Bayesian and Reinforcement Learning for Autonomous Decision-Making
Webex Meeting information:
Webex Meeting Link: Click here at 10 AM to join the Guest Speaker seminar
Meeting number (access code): 798 229 676
Meeting password: QmRJmjwD543
Speaker: Thinh T. Doan, Georgia Institute of Technology
Title: Reinforcement Learning and Distributed Learning for Data-Driven Decision Making
Speaker: Wilbur A. Lam, M.D., Georgia Institute of Technology
Title: Clinical Translation of Engineered Microsystems in Hematology
Title: Connectivity Matters: Towards Future Heterogeneous Smart Wireless World, from Isotropic to Directive and from RF to THz
ECE Associate Professor Laleh Najafizadeh has been chosen to receive the 2019-20 Provost's Award for Excellence in Cross-Disciplinary Research. This award honors individual faculty (Assistant or Associate Professors, tenure-track or non-tenure track) whose research area aims to achieve disruptive or transformative impacts at the interface of two disparate fields of scholarship or inquiry. Dr. Najafizadeh has an established record of outstanding multidisciplinary research at the intersection of engineering and neuroscience. She conducts fundamental research to develop novel computational methods for analyzing neuroimaging data obtained through invasive and non-invasive imaging modalities. These methods have led to better scientific understanding of the neural mechanisms underlying behavior, learning, and plasticity, and have promising applications in next-generation brain computer interfaces (BCIs), psychology, personalized rehabilitation, and clinical neuroscience. The impact of her research is evident through successful collaborations across Rutgers with the Departments of Psychology, Cell Biology and Neuroscience, and Biomedical Engineering. She and her team have introduced computational methods to extract temporal features from calcium imaging data, demonstrating for the first time, that the temporal characteristics of calcium transients can be utilized to decode behavior. In other work, she and her students have developed a novel data-driven segmentation technique for EEG recordings, which has been adopted by researchers in the Department of Psychology to study and understand how the human brain makes decisions about time. She and her team have also developed new frameworks for studying the dynamics of the brain that have significantly improved BCI performance. This honor given to only two faculty members selected from across all of Rutgers University, carries an institutional award of $5,000 and will be presented to Dr. Najafizadeh at the Chancellor’s Celebration of Faculty Excellence, on Tuesday, March 24, 2020. Congratulations to Laleh on this recognition!
Title: Electronic Brain-Machine Interfaces for Sensory Encoding
Title: Taming Waves for mmWave/THz Communications and Sensing: from Soliton Resonance to Phased Array
Title: Progress in Bioelectronics - From Lab-on-Chip to Lab-on-Things
