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

Mark Brnovich

Mark Brnovich (born November 25, 1966) is an American lawyer and politician from the state of Arizona who currently serves as the 26th Attorney General of Arizona. A member of the Republican Party, he was elected to the office on November 5, 2014, defeating Democratic nominee Felecia Rotellini. Brnovich advanced from the August 28, 2018 Republican primary as the top vote-getter in the state, running unopposed. Brnovich's family is originally from Montenegro. On November 6, 2018, Brnovich narrowly defeated Democrat January Contreras to be elected to a second term as attorney general. He is married to Susan Brnovich, a United States District Judge of the United States District Court for the District of Arizona.

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Publishing

Theological Disambiguations

An Unconventional Handbook of Orthodox Theology

by Rev. Vladan Perisic

Foreword
by Fr John Behr

It is a great pleasure to see this work published, making available some of the most important writings of Fr Vladan Perisic over the last couple of decades available, together in one volume, to an English speaking audience. Fr Vladan’s work is well known in Serbia, and in broader academic and ecumenical circles. But it can now receive the much wider readership that it deserves, and, as a collected volume, its scope, coherence, and significance is sure to receive the recognition it deserves.

The eighteen essays collected here treat diverse topics, from academic theology (and its place in the Church) to questions of life and death, from historically oriented studies, on Sts Ignatius and Gregory Palamas, to contemporary issues, such as human rights and ecology. Each of them is characterized by meticulous scholarship and great insight, clarity of thought and expression.

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