|John W. Fisher III|
I run the Sensing, Learning and Inference group. I am a Senior Research Scientist at MIT in the Computer Science and Artificial Intelligence Laboratory.
I am interested in developing graphical models and approximate inference for applications involving complex spatio-temporal processes and physical systems. In particular I am interested in efficient variational approaches which can be applied to a broader class of models than traditional methods. My application interests span many domains including computer vision, computational biology, brain computer interfaces and signal processing. Before joining SLI I completed my PhD at Brown University with Erik Sudderth (2016).
My main academic interests lie in optimization and statistics techniques to ML problems in 3D scene reconstruction and analysis. In addition, I explore fast optimization approaches for variational problems. I have done my PhD at the CS Dept., Technion (2013) before coming to CSAIL.
I am a PhD student working with John Fisher; my current research focuses on 3D reconstructions, primarily from multi-modal data. Before coming to MIT, I received a Bachelor's in Electrical Engineering from Florida International University.
I am a Phd student working with John Fisher in the Sensing, Learning and Inference lab. My interests lie in developing Bayesian modeling and inference methods applied to complex physical processes. Prior to joining MIT, I received my BA and MEng from Cambridge University.
|Christopher L. Dean|
I received my Bachelors in Computer Science and Engineering from The Ohio State University in December 2012 and interned at MIT Lincoln Laboratory prior to joining SLI in September 2013. I am currently in the PhD program at MIT and my research interests include machine learning and statistical inference.
|David S. Hayden|
I am a PhD student at MIT in the Sensing, Learning and Inference (SLI) group under the supervision of John Fisher. My interests are in modelling and predicting interactions among time-series (such as social interactions in videos) via machine learning and computer vision approaches. Applications of special interest include video understanding, human/animal behavioral modeling, wearable computing, assistive technology, social media and finance.
|Vadim S. Smolyakov|
My research interests are in the area of statistical inference and machine learning in application to computer vision. Before coming to MIT, I completed my undergraduate degree in Engineering Science at the University of Toronto.
After graduating from the Technical University of Munich and the Georgia Institute of Technology, I joined MIT to pursue a PhD in Computer Science. As a robotics enthusiast, my research is at the intersection of computer vision, inference and machine learning to improve robot perception. Specifically, I develop Bayesian nonparametric models and efficient inference methods targeting flexible and adaptive environment perception from massively streaming sensor data.
I am a PhD candidate in John Fisher's group. I received my M.Eng in 2007 from MIT, worked in industry for a few years, and came back for more!
|Hyun Sub Hwang|
I am a SuperUROP student in John Fisher's group. I am a senior majoring in EECS and Mathematics at MIT.