Dear Madam or Sir I am currently finishing my PhD in AI with the concentration in probabilistic machine learning at UC Irvine. My research interests lie in the areas of probabilistic modeling (e.g., Markov random fields, Bayesian networks, maximum entropy and mixture models), approximation methods (e.g., with applications to data mining), optimization (e.g. boosting), machine learning (e.g., support vector machines, CART trees) and applications. I believe my education and expertise will allow me to be successful in a variety of related areas and may be a good match to the requirements of a research staff member position. Most of my papers are available in the Postscript format off my web page at http://www.ics.uci.edu/~pavlovd/research.html Please let me know if hard copies are preferred. My C.V. in ASCII format is enclosed for your review. I am looking forward to hearing from you. Thank you for your time and consideration, Dmitry Pavlov -- --------------------------------------------------------------------- Dmitry Pavlov 403 Verano Place, Irvine, CA, 92612 E-mail: pavlovd@ics.uci.edu Phone: (949) 725-3268 WWW: http://www.ics.uci.edu/~pavlovd/ --------------------------------------------------------------------- DMITRY PAVLOV 403 Verano Place, Irvine, CA, 92612 Phone: (949) 725-3268 E-mail: pavlovd@ics.uci.edu WWW: http://www.ics.uci.edu/~pavlovd/ Date of Birth: September 8, 1973 Citizenship: Russian, F-1 (student) visa status OBJECTIVE To obtain a challenging research and/or teaching position in the areas of machine learning, data mining, probabilistic modeling, artificial intelligence. EDUCATION September 1997-present: Ph.D. in Information and Computer Science with concentration in Artificial Intelligence, Department of Information and Computer Science, UC Irvine (in progress). Expected graduation December 2001. Thesis Title: "Probabilistic Query Models for Transaction Data". June 1999: M. S. degree in Information and Computer Science, UC Irvine. GPA 4.0. June 1996-June 1997: Ph.D. in Applied Mathematics (incomplete), Department of Computational Math and Cybernetics, Moscow State University, Russia. Passed area exams, advanced to candidacy. June 1996: M. S. in Math and Information (honors) degree, Department of Computational Math and Cybernetics, Moscow State University, Russia ("diploma with excellence"; GPA 4.95 (out of 5.0)) Thesis Title: "Application of Neural Networks to Fast Speech, OCR and Water Pollution Recognition". June 1994: B. S. in Math and Information (honors) degree, Department of Computational Math and Cybernetics, Moscow State University, Russia ("diploma with excellence"; GPA 4.99 (out of 5.0)) Thesis Title: "Application of Neural Networks to Solution of Inverse Problems". WORK/RESEARCH EXPERIENCE July 1998-present: research assistant in the Information and Computer Science Department (ICS), UC Irvine, under advisorship of Prof. Padhraic Smyth. I work on probabilistic models for approximate querying the large databases. June 1999 - August 1999: summer intern at the IBM Almaden Research Center, San Jose, CA. Research and Analysis of Support Vector Machines. June 1997 - August 1997: summer intern at Siemens Corporate Research, Princeton, NJ. Investigations on non-standard ECG signal processing techniques. August 1996 - June 1997: research staff member at the Institute for Precise Mechanics and Computer Engineering, Moscow, Russia, working on an application of neural networks to futures markets forecasting. June 1995 - June 1997: research staff member at the Institute for Nuclear Physics, Moscow State University, Russia, working on detection and classification of the organic pollution of water and analysis of neural network training algorithms. August 1992 - June 1995: research assistant at the Department of Computational Maths and Cybernetics, Moscow State University, Russia. Applied neural network to the solution of the plasma equilibrium problem and inverse coefficient heat conduction problem. TEACHING EXPERIENCE January-March 2001: instructor for ICS 171 "Introduction to Artificial Intelligence" (class web page - http://www.ics.uci.edu/~pavlovd/171_2001.htm), UC Irvine, Winter quarter 2001. Summer 1999: instructor for ICS 171 "Introduction to Artificial Intelligence" (class web page - http://www.ics.uci.edu/~pavlovd/ics171.html), UC Irvine, Summer session 1999. September 1997 - June 1998, and Fall 2000: teaching assistant in the ICS Department, UC Irvine. Assisted in teaching courses "Intro to Discrete Mathematics", "Intro Algorithms and Data Structures", "Intro to Artificial Intelligence". PATENTS 2000: "Application of Boosting to Training Support Vector Machines", joint with Byron Dom and Jianchang Mao, filed by IBM Almaden Research, 2000. 1999: "Using Cross-Entropy with Local Patterns to Predict Global Patterns in a Database", joint with Heikki Mannila and Padhraic Smyth, filed by Microsoft Research, 1999. REFEREED CONFERENCE and JOURNAL PUBLICATIONS (http://www.ics.uci.edu/~pavlovd/research.html) * D. Pavlov, P. Smyth. Learning Generalization Query Models for Transaction Data. Submitted to NIPS-2001. * D. Pavlov, P. Smyth. Probabilistic Query Models for Transaction Data. To appear in proceedings of KDD-2001, San Francisco, 2001. * D. Pavlov, H. Mannila, P. Smyth. Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data. Technical Report UCI-ICS TR-01-09, January 2001 (also submitted to IEEE Transactions on Data and Knowledge Engineering) * D. Pavlov, D. Chudova, P. Smyth. Towards Scalable Support Vector Machines Using Squashing. Proc. of Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Boston, 2000. * D. Pavlov, H. Mannila, P. Smyth. Probabilistic Models for Query Approximation with Large Sparse Binary Data Sets. Proc .of Sixteenth Conference on Uncertainty in Artificial Intelligence, Stanford, 2000. * D. Pavlov, J. Mao, B. Dom. Scaling-up Support Vector Machines Using Boosting Algorithm. Proc. of International Conference on Pattern Recognition, Barcelona 2000. * H. Mannila, D. Pavlov, P. Smyth. Prediction with Local Patterns Using Cross-Entropy. Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, 1999. * X. Ge, S. Gaffney, D. Pavlov, P. Smyth, Local context matching for page replacement Technical Report UCI-ICS 99-37, September 1999. * D. Chudova, S. Dolenko, Yu. Orlov, D. Pavlov, I. Persiantsev. Benchmarking of Different Modifications of the Cascade Correlation Algorithm. Proc. of 3rd International Conference on Adaptive Computing in Design and Manufacture, 1998, pp.339-344. * Yu. Orlov, I. Persiantsev, D. Chudova, D. Pavlov, S. Babichenko. Development of a Statistics Based System for Fluorescent Diagnostics of Organic Pollution in Water. Proc of .3rd EARSeL Workshop on Lidar Remote Sensing of Land and Sea, 1997, pp.157-162. * D. Pavlov Application of Neural Networks to Plasma Boundary Determination (in Russian) In Achievements of Science and Technology. Modern Problems in Mathematics. Thematical Reviews, 1995. * D. Pavlov Neural Networks in Solution of an Inverse Coefficient Heat Conduction Problem (in Russian). In Vestnik Moskovskogo Universiteta, 4, 1994. AWARDS (SELECTED) July 2000: Joseph J. Fischer Memorial Fellowship Award. 1994 - 1997: First prizes for outstanding research in two student contests in the frameworks of Samsung Software Membership Program. 1994-1996: Moscow State University Scientific Council scholarship award for excellent studies and research. 1994: Lomonosov's fellowship award for excellent studies. 1994, 1995: Soros student's grants for research work. REFERENCES Professor Padhraic Smyth, Information and Computer Science, UC Irvine, smyth@ics.uci.edu Professor Dennis Kibler, Information and Computer Science, UC Irvine, kibler@ics.uci.edu Dr. Byron Dom, IBM Almaden Research Center, dom@almaden.ibm.com Dr. Heikki Mannila, Nokia Research, Heikki.Mannila@nokia.com Dr. Irina Rish, IBM T.J. Watson Research Center, rish@us.ibm.com