Daniel G. Rudoy Law Professional
Technology Specialist
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Daniel G. Rudoy

Dan Rudoy assists the Electrical & Computer Technologies Group in patent prosecution in the areas of signal processing, speech recognition, software, networking and electronics.

Previous Experience

Dan was previously an associate staff member in the Air and Missile Defense Technology, and the Intelligence, Surveillance, and Reconnaissance Systems Technology divisions at MIT Lincoln Laboratory, where he developed target tracking, multi-sensor fusion, and discrimination technologies for radar and electro-optical infrared systems. Subsequently as a graduate student at Harvard University, he carried out research in speech and audio signal processing, computational statistics, and time-frequency signal analysis. He developed nonstationary time-series analysis methods and applied them to problems in speech processing including speech analysis/synthesis and enhancement.

Professional and Civic Activities

Boston Patent Law Association

Institute of Electrical and Electronics Engineers

  • Reviewer for several journals
Honors and Awards

Dan was the recipient of the U.S. National Science Foundation and National Defense Science and Engineering Graduate Fellowships, and the Atwater Kent prize for distinction in his master’s thesis research. He was also awarded a distinction in teaching for his contributions to engineering statistics at Harvard University and a Penn-Merck scholarship for teaching in inner city Philadelphia schools. He is a member of Eta Kappa Nu and Tau Beta Pi.

Also Noteworthy
Dan co-authored an article entitled "Time-Varying Autoregressions in Speech: Detection Theory and Applications," which will be published in IEEE Transactions on Audio, Speech and Language Signal in May, 2011.  For the full article, click here.    

Dan also co-authored an article entitled "Superposition Frames for Adaptive Time-Frequency Analysis," which was published in IEEE Transactions on Signal Processing in May, 2010 (for full article, click here), and an article entitled: "Bayesian changepoint analysis for atomic force microscopy and soft material indentation," which appeared in the Journal of the Royal Statistical Society Series C, in June, 2010 (for full article, click here).

Dan is also fluent in Russian.

 

Recent Articles and Presentations
June 2011 - Your Company’s Patents: Evaluating their Strategic Value

Education

University of Pennsylvania, B.A., Mathematics, Magna cum laude

University of Pennsylvania, B.S., Computer Science and Engineering, Magna cum laude

University of Pennsylvania, M.S., Computer and Information Science

Harvard University, Ph.D., Electrical Engineering

Suffolk University Law School, J.D., 2015 Candidate

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