A great man is one who collects knowledge the way a bee collects honey and uses it to help people overcome the difficulties they endure - hunger, ignorance and disease!
- Nikola Tesla

Remember, remember always, that all of us, and you and I especially, are descended from immigrants and revolutionists.
- Franklin Roosevelt

While their territory has been devastated and their homes despoiled, the spirit of the Serbian people has not been broken.
- Woodrow Wilson

Predrag V. Neskovic

Adjunct Associate Professor of Brain and Neural Systems

I received my B.Sc. in theoretical physics from Belgrade University and a Ph.D. in physics from Brown University. I was a post-doc and then a faculty at the Institute for Brain and Neural Systems. I moved to Washington, DC in 2008 where I currently work in the Federal Government as a program manager covering the area of Mathematical Data Science.

Brown Affiliations

  • Brain and Neural Systems

Education and training

  • PhD. Brown University 1999
  • MS. Brown University 1992
  • BS. Belgrade University 1990

Awards and honors

  • Brown University Research Seed Fund Award
  • Brown University Brain Science Program's Pilot Research Award

Scholarly work

  • P. Neskovic, I. Sherman, L. Wu, L. N Cooper. Learning faces with the BIAS model: On the importance of the sizes and locations of fixation regions, Neurocomputing 72(13-15): 2915-2922, 2009.
  • J. Wang, P. Neskovic, and L. N. Cooper. Selecting Data for Fast Support Vector Machine Training. Studies in Computational Intelligence, Vol. 35, pp. 61-84, 2007.
  • J. Wang, P. Neskovic, and L. N. Cooper. Improving Nearest Neighbor Rule with a Simple Adaptive Distance Measure. Pattern Recognition Letters, 28(2), pp. 207-213, 2007.
  • J. Wang, P. Neskovic and L. N. Cooper. Bayes Classification Based on Minimum Bounding Spheres. Neurocomputing, Vol. 70, pp. 801-808, 2007.
  • J. Wang and P. Neskovic and L. N. Cooper. A minimum Sphere Covering Approach to Pattern Classification. ICPR, pp. 433-436, 2006.
  • J. Wang and P. Neskovic and L. N. Cooper. Neighborhood Size Selection in the k-Nearest Neighbor Rule Using Statistical Confidence. Pattern Recognition, 39(3), pp. 417-423, 2006.
  • P. Neskovic, L. Wu and L. N. Cooper. Learning by Integrating Information Within and Across Fixations. Lecture Notes In Computer Science: Artificial Neural Networks - ICANN, Vol. 4132, pp. 488-497, 2006.
  • J. Wang and P. Neskovic and L. N. Cooper. A Probabilistic Model For Cursive Handwriting Recognition Using Spatial Context. ICASSP, 2005.
  • T. Steinherz, E. Rivlin, N. Intrator, and P. Neskovic. An Integration of Online and Pseudo-Online Information for Cursive Word Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI, 27(5), pp. 669-684, 2005.
  • P. Neskovic, D. Schuster and L. N Cooper. Biologically inspired recognition system for car detection from real-time video streams. Neural Information Processing: Research and Development, J. C. Rajapakse and L. Wang (eds.), Springer-Verlag, pp. 320-334, 2003.
  • P. Neskovic, P. C. Davis and L. N. Cooper. Interactive Parts Model: an Application to Recognition of On-line Cursive Script. Advances in Neural Information Processing Systems (NIPS), pp. 974-980. 2000.

Research overview

  • My research interests are mainly in the fields of statistical pattern recognition, machine learning, and biologically inspired vision.

Funded research

  • "Using advanced mathematical techniques to analyze physiological responses to stimulation of specific acupoints." The Rhode Island Foundation, PI, 2007.
  • "Using physiological measurements and artificial neural networks to monitor and predict cognitive states." Research Seed Fund Award, Brown University, PI (with William Heindel), 2005-2006.
  • "Visual analysis of complex scenes: breaking camouflage and detecting occluded objects using Bayesian inference." Army Research Office (ARO), W911NF-04-1-0357, Co-PI (with Leon Cooper), 2004-2009.
  • "Reducing the cognitive workload while operating in complex sensory environments: constructing a recognition system that utilizes aspects of human perception and cognition." ARO, DAAD19-01-1-0754, Co-PI (with Leon Cooper), 2001-2004.

Source: Brown University


SA

 

People Directory

Rose Ann Vuich

California State Senator

A Democrat from Dinuba, California, Senator Vuich represented the region for 16 years until retiring in 1992. Senator Vujich had earned a reputation for voting her conscience and did not look kindly on bill that had no value other than attracting campaign contributions for lawmakers.

Senator Vuich was a farmer from Dinuba in Tulare County, President of the Chamber of Commerce, and a tax accountant. In addition, she was a member of the Tulare County Democratic Central Committee and served on the board of directors for the Alta Hospital District, Agricultural District Fair, Commission on the Status of Women, and the National Society of Public Accountants.

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Publishing

History, Truth, Holiness

by Bishop Maxim Vasiljevic

Bishop Maxim’s first book, described by Fr. John Breck as an “exceptionally important collection of essays” contributing to both the theology of being and also contemporary theological questions, is now available! Christos Yannaras describes Bishop Maxim as “a theologian who illumines” and Fr. John McGuckin identifies his work as “deeply biblical and patristic, academically learned yet spiritually rich.” The first half of the book collects papers emphasizing theological ontology and epistemology, reminding us how both the mystery of the Holy Trinity and that of the Incarnation demand that we rethink every philosophical supposition; it includes chapters on holiness as otherness, truth and history, and the biochemistry of freedom. The second half of the book features lectures dedicated to the theological questions posed by modern theology, including studies of Orthodox and Roman Catholic ecclesiology, liturgics, and the theology of icons.