Daniel Khashabi is an assistant professor in computer science at Johns Hopkins University. Khashabi’s work focuses on computational foundations of intelligent behavior within various mediums of communication, particularly natural language. This involves developing formalisms that characterize and result in natural language processing (NLP) systems that are capable of understanding and reasoning with (and about) an […]
Vishal M. Patel is an Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at Johns Hopkins University. Prior to joining Hopkins, he was an A. Walter Tyson Assistant Professor in the Department of ECE at Rutgers University and a member of the research faculty at the University of Maryland Institute for Advanced […]
Saria’s interests span machine learning, computational statistics, and its applications to domains where one has to draw inferences from observing a complex, real-world system evolve over time. The emphasis of her research is on Bayesian and probabilistic graphical modeling approaches for addressing challenges associated with modeling and prediction in real-world temporal systems. In the last […]
Raman Arora received his MS and PhD degrees in Electrical and Computer Engineering from the University of Wisconsin-Madison in 2005 and 2009, respectively. From 2009-2011, he was a Postdoctoral Research Associate at the University of Washington in Seattle and a Visiting Researcher at Microsoft Research Redmond. Since 2011, he has been with Toyota Technological Institute at Chicago (TTIC). His research […]
Mounya Elhilali received her PhD degree in Electrical and Computer Engineering from the University of Maryland, College Park in 2004. She is now a Charles Renn Faculty Scholar and Professor at the Department of Electrical and Computer Engineering at the Johns Hopkins University. She directs the Laboratory for computational Audio Perception and is affiliated with […]
Dr. Yarowsky’s research focuses on word sense disambiguation, minimally supervised induction algorithms in NLP, and multilingual natural language processing. He earned his bachelor’s (’87) in computer science at Harvard University and his master’s (’93) and PhD (’96) in computer and information science at the University of Pennsylvania.
Koehn’s work is currently focused on statistical machine translation (video), a subject on which he also wrote the textbook and maintains the website. More broadly, his interest is to make use of the vast amount of information that is available in digital form. He was one of the finalists for the 2013 European Inventor Award.
Dr. Khudanpur received the B.Tech. degree in Electrical Engineering from the Indian Institute of Technology, Bombay, in 1988, and the PhD degree in Electrical and Computer Engineering from the University of Maryland, College Park, in 1997. His doctoral dissertation was supervised by Prof. Prakash Narayan and was titled Model Selection and Universal Data Compression. Since […]
Najim Dehak received his PhD from School of Advanced Technology, Montreal in 2009. During his PhD studies he worked with the Computer Research Institute of Montreal, Canada. He is well known as a leading developer of the I-vector representation for speaker recognition. He first introduced this method, which has become the state-of-the-art in this field, […]
Hynek is affiliated with the Center for Language and Speech Processing, where he served as Director from 2010 to 2022. He is also affiliated with the Human Language Technology Center of Excellence. He is on the faculty of the Brno University of Technology, Czech Republic. Hynek is a Life Fellow of the Institute of Electrical […]
