Received: from GLINDA.OZ.CS.CMU.EDU by A.GP.CS.CMU.EDU id aa12922; 21 Jul 95 19:08:59 EDT Date: Fri, 21 Jul 95 19:06:44 EDT From: AI.Repository@GLINDA.OZ.CS.CMU.EDU To: ai+ai-predoc@cs.cmu.edu Subject: Predoc: Neural Nets at Oregon Graduate Institute (Beaverton, OR) Sender: ai@A.GP.CS.CMU.EDU From: ericwan@cse.ogi.edu (Eric Wan) Subject: OGI Research Assitantship Positions Date: 7 Jul 1995 23:31:49 GMT Organization: Oregon Graduate Institute (formerly OGC), Beaverton, OR Ph.D. Research Assistantship Positions Available ***************************************************************** * * * OREGON GRADUATE INSTITUTE * * -of- * * SCIENCE & TECHNOLOGY * * * * Center for Information Technologies (CIT) * * * ***************************************************************** ***************************************************************** The Oregon Graduate Institute of Science and Technology (OGI) has several openings for outstanding Ph.D. students in its Center for Information Technologies. The center includes faculty from the department of Computer Science and Engineering and the department of Electrical Engineering and Applied Physics. Center members perform research in a broad range of information processing areas including nonlinear and adaptive signal processing, statistical computation, decision analysis, speech, images, prediction, control, economics, and finance. We are specifically looking for potential Ph.D. students who hold masters degrees in Computer Science or Electrical Engineering with knowledge and/or interest adaptive signal processing, statistics, speech and image processing, neural networks and machine learning. We seek qualified candidates to join research projects in Fall / Winter of 1995. Special funding opportunities are available for U.S. citizens and U.S. nationals, although foreign nationals will also be considered. Research areas include neural networks, adaptive signal processing, simulation of human auditory and visual perception, speech and image processing, time-series prediction, learning theory, algorithms, and architectures. Specific projects include speech enhancement in cellular communication, sunspot and solar flux forecasting, speech and image representation, novel techniques for regression, and economic and financial applications. Please send resumes or inquiries to: Todd K. Leen John Moody Eric A. Wan tleen@cse.ogi.edu moody@cse.ogi.edu ericwan@eeap.ogi.edu (503) 690-1160 (503) 690-1554 (503) 690-1164 Hynek Hermansky Misha Pavel hynek@eeap.ogi.edu pavel@eeap.ogi.edu (503)690-1136 (503)690-1155 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ General Information OGI is a young, but rapidly growing, private research institute located in the Portland area. OGI offers Masters and PhD programs in Computer Science and Engineering, Applied Physics, Electrical Engineering, Biology, Chemistry, Materials Science and Engineering, and Environmental Science and Engineering. For additional general information, contact: Office of Admissions and Records Oregon Graduate Institute PO Box 91000 Phone: (503) 690-1027 Portland, OR 97291 Email: registrar@admin.ogi.edu +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Research Interests of Faculty and Postdocs in CIT Hynek Hermansky (Associate Professor, EEAP and CSE); Hynek Hermansky is interested in speech processing by humans and machines with engineering applications in speech and speaker recognition, speech coding, enhancement, and synthesis. His main research interest is in practical engineering models of human information processing. Todd K. Leen (Associate Professor, CSE and EEAP): Todd Leen's research spans theory of neural network models, architecture and algorithm design and applications to speech recognition. His theoretical work is currently focused on the foundations of stochastic learning, while his work on Algorithm design is focused on fast algorithms for non-linear data modeling. John Moody (Associate Professor, CSE and EEAP): John Moody does research on the design and analysis of learning algorithms, statistical learning theory (including generalization and model selection), optimization methods (both deterministic and stochastic), and applications to signal processing, time series, economics and finance. Misha Pavel (Associate Professor, CSE and EEAP): Misha Pavel does mathematical and neural modeling of adaptive behaviors including visual processing, pattern recognition, visually guided motor control, categorization, and decision making. He is also interested in the application of these models to sensor fusion, visually guided vehicular control, and human- computer interfaces. Eric A. Wan (Assistant Professor, EEAP and CSE): Eric Wan's research activities include learning algorithms and architectures for neural networks and adaptive signal processing. He is particularly interested in neural applications to time series prediction, speech enhancement, adaptive control, active noise cancellation, and telecommunications. Andy Fraser (Associate Professor, Portland State University) Andrew Fraser's research interests include non-linear dynamics, information theory, signal modelling, prediction and detection. He is particularly interested in the application of modelling and prediction to signal encoding and detection problems. Holly Jimison (Assistant Professor, Oregon Health Sciences University) Dr. Jimison is the Director of the Informed Patient Decision Group at the Biomedical Information Communication Center at OHSU. She is interested in multimedia systems for patient-physician communication and in application of decision theory to shared medical decision making. Hong Pi (Senior Research Associate, CSE): Hong Pi's research interests include neural network models, time series analysis, and dynamical systems theory. He currently works on the applications of nonlinear modeling and analysis techniques to time series prediction problems. Thorsteinn S. Rognvaldsson (Post-Doctoral Research Associate, CSE): Thorsteinn Rognvaldsson studies both applications and theory of neural networks and other non-linear methods for function fitting and classification. He is currently working on methods for choosing regularization parameters and also comparing the performance of neural networks with the performance of other techniques for time series prediction. Lizhong Wu (Senior Research Associate, CSE): Lizhong Wu's research interests include neural network theory and modeling, time series analysis and prediction, pattern classification and recognition, signal processing, vector quantization, source coding and data compression. He is now working on the application of neural networks and nonparametric statistical paradigms to finance. ------------------------------------------------------------------------------- This message | Submissions ai+ai-predoc@cs.cmu.edu was sent via | Subscribe/Unsubscribe ai+query@cs.cmu.edu the AI-PREDOC | Available mailing lists include mailing list. | AI-JOBS, LISP-JOBS, PROLOG-JOBS, AI-POSTDOC, AI-PREDOC