DRAFT Curriculum Vitae

Piyush Kumar

Last Revised: March 23, 2022

Warning: the P&T curriculum vitae and the specialized faculty promotion curriculum vitae require that each citation of published work since employment at FSU, or since last promotion at FSU, include a one-sentence description of the work, as well as a statement that identifies the status of any co-authors and their institutions.

2 publication citations were found with missing descriptions in the Additional Information field:

Enhancing Profit from Stock Transactions Using Neural Networks

QuadRoad: An Ensemble of CNNs for Road Segmentation

General Information

University address:	Computer Science
College of Arts and Sciences
Love Building 0161
Florida State University
Tallahassee, Florida 32306-4530

E-mail address:	piyush@cs.fsu.edu

Professional Preparation

2004	Ph.D., Stony Brook University, Stony Brook, NY. Major: Computer Science. 

Kumar, P. (2004). Clustering and Reconstructing Large Data Sets. Unpublished doctoral dissertation, Stony Brook University, Stony Brook, NY. 

2003	M.S., Stony Brook University, Stony Brook, NY. Major: Computer Science. 

Kumar, P. (2003). Cache oblivious algorithms. Unpublished master's thesis, Stony Brook University, Stony Brook, NY. 

1999	B.S., Indian Institute of Technology (IIT), Kharagpur, India. Major: Mathematics and Computing. 

Kumar, P. (1999). Simplifying polygonal approximations of 2D shapes. Unpublished bachelor's thesis, Indian Institute of Technology (IIT), Kharagpur, India. 

Professional Experience

2011–present	President, CompGeom Inc., Tallahassee, FL. 

2010–present	Associate Professor, Computer Science, Florida State University. 

2022–present	Chief Scientific Advisor, CoderOgres. 

2020–present	Professor, Computer Science, Florida State University. 

2018–present	Founder, Cognitive GeoInterpretation Inc. 

2016–present	President of the Board, Intelligent Robotics Inc. 

2004–2010	Assistant Professor, Computer Science, Florida State University. 

1999	Part time programmer, ArtWork Inc. 

1999	Summer Internship, Tata Institute of Fundamental Research, India. 

1996–1999	Project Assistant, TDM-CNIA, Indian Institute of Technology (IIT), Kharagpur, India. 

Visiting Professorship(s)

2015	Indian Institute of Technology, New Delhi. 

2001–2002	Visiting Scientist, Max-Planck-Institut für Informatik (MPI), Germany. 

Honors, Awards, and Prizes

Fulbright Award, Fulbright Scholar Program (2015). 
NSF ICorps Award, National Science Foundation (2012). ($50,000). 

100 awards by NSF across all disciplines in the US. 

Developing Scholar Award, Florida State University (2011). ($10,000). 

Less than 5 awards amongst all Associate Professors at FSU. 

Senior Member, ACM (2010). 

127 Recipients for 2010 worldwide from both academia and industry. 

Young Investigator Award, US Air Force Office of Research (2010). ($360,000). 

38 junior faculty nationwide were selected for this highly competitive distinction (7 were from Computer Science departments nationwide). 

FSU Innovator Award, Florida State University (2008). 
NSF CAREER Award, National Science Foundation (2007). ($416,000). 

3 in Computational Geometry nationwide. 

Normal estimation of large point clouds, NCSA (2005). 

Tenure: 12/2005 - 12/2006 Award: 10,000 hours on a SGI Altix with 1024 Intel Itanium processors. Purpose: Use of shared memory supercomputers for algorithm design. 

First Year Assistant Professor Award, Florida State University (2005). ($14,000). 

Current Membership in Professional Organizations

Lifetime Member - Association for Computing Machinery (ACM) 
Senior Member - Association for Computing Machinery (ACM) 

Teaching

Courses Taught

*	Advanced Algorithms (COT5405)
*	Python Programming (CIS4930)
*	Analysis of Algorithms (CGS5427)
*	Analysis of Algorithms (COP4531)
*	Object Oriented Programming (Using C++) (COP3330)
*	Python Programming (CIS5930)
*	Python Programming (CIS4930)
*	Python Programming (CIS5930)
*	Introduction to Research (CIS5935)
*	Computational Geometry (CIS5930)
*	Computer Science I (COP3502)
*	Topics in Algorithms (CIS6935)
*	Advanced Algorithms (COT5405)
*	Computational Geometry Seminar (COT5930)
*	Analysis of Algorithms (COP4531)
*	Analysis of Algorithms (CGS5427)
*	Computational Geometry Seminar (CIS5930)
*	Analysis of Algorithms (COP4531)
*	Analysis of Algorithms (CGS5427)
*	Writing Solid Code (CIS5930)
*	Writing Solid Code (CIS4930)
*	Advanced Algorithms (COT5405)
*	Computational Geometry Seminar (COT5930)
*	Object Oriented Programming (Using C++) (CGS5409)
*	Analysis of Algorithms (COP4531)
*	Analysis of Algorithms (CGS5427)
*	Advanced Algorithms (COT5405)
*	Computational Geometry Seminar (CIS5930)
*	Analysis of Algorithms (COP4531)
*	Analysis of Algorithms (CGS5427)
#	Advanced Computational Geometry (CSE638)
#	Advanced Computational Geometry (AMS641)
#	Design and Analysis of Algorithms (CSE373)
#	Design and Analysis of Algorithms (AMS373)
#	Design and Analysis of Algorithms (MAT373)
#	Design and Analysis of Algorithms (CSE548)

Doctoral Committee Chair

	Roychoudhury, A., graduate. (2021).
	Ghaffari, M., graduate. (2020).
*	Parulji, B., graduate. (2019). Machine Learning Algorithms and Applications for Lidar, Images, and Unstructured Data. 
*	Mukherjee, T., graduate. (2016). Contributions to Problems in Topology Control of Unmanned Aerial Systems. 
*	McClain, J. W., graduate. (2014). On Exactitude in Geographic Information Science.  [GAANN Fellow. University Fellowship]
*	Chatterjee, S., graduate. (2012). Experimental Approaches to Computational Geometric and Statistical Machine Translation Problems. 
*	Connor, M. F., graduate. (2011). A Simple, Thread-safe, Approximate Nearest Neighbor Search. 
	Abrishami, S., doctoral candidate. 
	Dehkordi, S. M. G., doctoral candidate. 
	Lahijani, M. S., doctoral candidate. 
	Miller, D., doctoral candidate. 
	Volkova, P. V., doctoral candidate.  [Left Program]
	Bommireddy, V. S. R., doctoral student. 
	Mahiul, C., doctoral student. 

Doctoral Committee Cochair

	Sharma, A., doctoral candidate.  [Co-Advisor: Emmanuel Collins. Left Program]

Doctoral Committee Member

	Dorai, G., graduate. (2019).
*	Akbas, E., graduate. (2017).
*	Banerjee Mukherjee, C., graduate. (2017).
*	Kanel, P., graduate. (2017).
*	Mukherjee, A., graduate. (2017).
*	Zhang, Y., graduate. (2014).
*	Yuan, J., graduate. (2014).
*	Zhang, C., graduate. (2013).
*	Fincher, J. A., graduate. (2012). [Advisor: Gary Tyson]
*	Li, Y., graduate. (2012).
*	Jolen, S., graduate. (2012).
*	Cortes, A. D., graduate. (2011).
*	Yao, B., graduate. (2011). [Advisor: Feifei Li]
*	Donate, A., graduate. (2011). [Advisor: Xiuwen Liu]
*	Yu, Y., graduate. (2010). [Advisor: Ashok Srinivasan]
*	Wu, Y., graduate. (2010). [Advisor: Xiuwen Liu]
*	Zhu, Y., graduate. (2010). [Advisor: Xiuwen Liu]
*	Dunlap, D., graduate. (2010). [FAMU-FSU College of Engineering, Advisor: Emmanuel G. Collins]
*	Hines, S. R., graduate. (2008). [Advisor(s): David Whalley and Gary Tyson]
	Dorai, G., doctoral candidate. 
	Houshmand Yazdi, S., doctoral candidate. 
	Kanel, P., doctoral candidate. 
	Llang, Y., doctoral candidate. 
	Marshall, J. B., doctoral candidate. 
	Ogden, C. C., doctoral candidate. 
	Stanovich, M., doctoral candidate. 
	Zhao, N., doctoral candidate. 
	Bayouset, M., doctoral candidate. 
	Jayaraman, S., doctoral student. 

Doctoral Committee University Representative

	Liu, S., graduate. (2021).
	Sun, L., graduate. (2019).
*	Li, M., graduate. (2014).
*	Fan, Y., graduate. (2012).
*	Liu, X., graduate. (2010).
*	Singleton, L., graduate. (2007). [Department of Mathematics, Advisor: Monica K. Hurdal, Representative-at-large: Piyush Kumar]
*	Asbury, T., graduate. (2005). [Department of Molecular Biophysics, Advisor: Richard Bertram, Representative-at-large: Piyush Kumar]
	Gramajo, G. E., doctoral candidate. 
	Wang, M., doctoral candidate. 
	Worden, T. J., doctoral candidate. 
	Xu, Q., doctoral candidate. 
	Zhang, Q., doctoral candidate. 

Master's Committee Chair

*	George, K., graduate. (2016).
*	Jambawalikar, S., graduate. (2015).
*	Timmarajus, S. S. S., graduate. (2015).
*	Stark, K., graduate. (2012).
*	Neff, B. S., graduate. (2012).
*	Raychaudhuri, R., graduate. (2012).
*	Ravindranath, R., graduate. (2011).
*	Volkova, P. V., graduate. (2009).
*	Villmow, M., graduate. (2006).
*	Mhatre, A., graduate. (2005).

Master's Committee Cochair

*	Narasimha Murthy, G., graduate. (2013).
*	Griesmeyer, R. T., graduate. (2011).
*	Mann, T. F., graduate. (2011). [Co-Advisor: Emmanuel Collins]

Master's Committee Member

	Pandhi, V., graduate. (2019).
	Ryasnianskiy, Y., graduate. (2019).
*	Krishna, S. I., graduate. (2016).
*	Carnahan, C. E., graduate. (2014).
*	Zhang, M., graduate. (2014).
*	Rose, S. C., graduate. (2013).
*	Jenkins, I. R., graduate. (2012).
*	Kundra, M., graduate. (2012).
*	Monfort, M. A., graduate. (2011).
*	Gould, J. A., graduate. (2011).
*	Houshmand Yazdi, S., graduate. (2011).
*	Krishnan, S., graduate. (2011).
*	Mitchell, M. J., graduate. (2011).
*	Cedeno Mieles, V. I., graduate. (2010).
*	Cedeno, V. I., graduate. (2010).
*	Gomez, D., graduate. (2010). [Advisor: Feifei Li]
*	Fishel, R., graduate. (2008). [Programming Project, Advisor: Andy Wang]
*	Pandey, N., graduate. (2008). [Programming Project, Advisor: Michael Mascagni]
*	Akula, V., graduate. (2007). [Advisor: Breno De Medeiros]
*	Bali, J., graduate. (2007). [Advisor: Sudhir Aggarwal]
*	Christofoli, J. F., graduate. (2006). [Advisor: Sudhir Aggarwal]
*	Ren, J., graduate. (2006). [Advisor: Michael Mascagni]
*	Smith, M., graduate. (2006). [Advisor: Daniel Schwartz]
	Marshall, J. B., student. 

Bachelor's Committee Chair

*	Shumaker, A., graduate. (2005).
	Patel, N., student. 

Research and Original Creative Work

Publications

Invited Journal Articles

*	Arkin, E., Diaz-Banez, J., Hurtado, F., Kumar, P., Mitchell, J., Palop, B., Perez-Lantero, P., Saumell, M., & Silveira, R. (2015). Bichromatic 2-center of pairs of points. Computational Geometry: Theory and Applications, 48(2), 94-107.

*Since last promotion: A paper that studies 2-center clustering theory for various applications. [23 citations, Google Scholar]. 

*	Connor, M., & Kumar, P. (2010). Parallel construction of k-nearest neighbor graphs for point clouds. IEEE Transactions on Visualization and Computer Graphics, 16(4), 599-608. Retrieved from http://www.ams.sunysb.edu/~piyush/publicat.html

Preliminary versions appeared in Proceedings of Point Based Graphics, 2008 and Computational Geometry Fall Workshop 2007, IBM T.J.Watson Research Center, Hawthorne, NY. [11 Citations, Google Scholar] Software Release: http://www.compgeom.com/stann. 

*	Connor, M., & Kumar, P. (2008). Parallel Construction of k-Nearest Neighbor Graphs for Point Clouds. IEEE Transactions on Visualization and Computer Graphics, 25-31.

*	Cheng, S. W., Funke, S., Golin, M., Kumar, P., Poon, S. H., & Ramos, E. A. (2005). Curve reconstruction from noisy samples. Computational Geometry Theory and Applications (CGTA), 31(1-2), 63-100. Retrieved from http://www.ams.sunysb.edu/~piyush/cr/

(Invited and Accepted to special issue of Computational Geometry Theory and Applications (CGTA)) [26 Citations, Google Scholar]. 

*	Cheng, Siu-Wing, Funke, S., Golin, M., Kumar, P., Poon, Sheung-Hung, & Ramos, E. (2005). Curve reconstruction from noisy samples. Computational Geometry, 31(1-2), 63-100.

#	Kumar, P., Mitchell, J. S., & Yildirim, E. A. (2003). Approximate minimum enclosing balls in high dimensions using core-sets. Journal of Experimental Algorithmics (JEA), 8, 1-1.

#	Kumar, P., Yildirim, E. A., & Michell, J. S. B. (2003). Approximate Minimum Enclosing. Balls in High Dimensions Using Core-Sets. Journal of Experimental Algorithmics, ACM, 8, 1-29. Retrieved from http://www.ams.sunysb.edu/~piyush/meb/

[88 Citations, Google Scholar]. 

Refereed Journal Articles

*	Mukherjee, T., Veremyev, A., Kumar, P., & Pasiliao, E. (submitted). The Minimum Edge Compact Spanner Network Design Problem. Unpublished Manuscript. Manuscript submitted for publication.

*Since last FSU promotion:. 

	Blasch, E., Kumar, P., Mukherjee, T., Pasiliao, E., Pati, D., & Xu, L. (in press). LoSI: Large Scale Location Inference through FM Signal Integration and Estimation" in its current form for publication in the Big Data Mining and Analytics. Big Data Mining and Analytics.

*Since last FSU promotion: A cheap system to replace GPS using FM transmitters.  Co-author Mukherjee (Former PhD Student). 

	Choudhury, R. A., Abrishami, S., Turek, M., & Kumar, P. (2020). Enhancing Profit from Stock Transactions Using Neural Networks. AI Communications, 33, 75-92.

	Alahmadi, M., Khormi, A., Hassel, J., Parajuli, B., Haiduc, S., & Kumar, P. (2020). Code Localization in Programming Screencasts. Empirical Software Engineering, 25, 1536-1572.

*Since last FSU promotion: This paper uses deep learning to localize code fragments for software engineering applications.  Co-author Parajuli (PhD student). 

*	Kumar, P., & Yildirim, A. (2011). A Linearly Convergent Linear-Time First-Order Algorithm for Support Vector Classification with a Core Set Result. Informs Journal on Computing, 23(3), 377-391. Retrieved from http://www.informs.org/Journal/IJOC/Future-Issues

* Since last FSU Promotion: Proves that there is a small set of input points for every SVM that is essential and enough for machine learning. [16 citations, Google Scholar]. 

*	Li, F., Yao, B., & Kumar, P. (2010). Group Enclosing Queries. IEEE Transactions on Knowledge and Data Engineering, 23(10), 1526-1540.

[47 citations, Google Scholar]. 

*	Kumar, P., & Yildirim, A. (2010). Online Supplement to: A Linearly Convergent Linear-Time First-Order Algorithm for Support Vector Classification with a Core Set Result. Informs Journal on Computing.

*	Kumar, P., & Kumar, P. (2010). Almost optimal solutions to k-clustering problems. International Journal of Computational Geometry and Applications, 20(4), 431-447.

[12 citations, Google Scholar]. 

*	Connor, M., & Kumar, P. (2010). Fast construction of k-nearest neighbor graphs for point clouds. IEEE transactions on visualization and computer graphics, 16(4), 599-608.

[144 citations, Google Scholar]. 

*	Kumar, P., & Yildirim, A. (2009). A Core Set Result for theWeighted Euclidean One-Center Problem. Informs Journal on Computing, 21, 614-629. Retrieved from http://www.optimization-online.org/DB_HTML/2008/02/1902.html

*	Kumar, P., & Yildirim, E. A. (2009). An algorithm and a core set result for the weighted Euclidean one-center problem. INFORMS Journal on Computing, 21(4), 614-629.

*	Kumar, P., & Yildirim, A. (2008). Computing Minimum Volume Enclosing Axis-Aligned Ellipsoids. Journal of Optimization theory and Applications, 136(2), 211-228. Retrieved from http://www.optimization-online.org/DB_HTML/2006/06/1419.html

[6 Citations, Google Scholar]. 

*	Kumar, P., & Yildirim, E. A. (2005). New complexity bounds for minimum volume enclosing ellipsoid problem. Journal of Optimization Theory and Applications, 126(1), 1-21. Retrieved from http://www.ams.sunysb.edu/~piyush/publicat.html

[72 Citations, Google Scholar]. 

*	Kumar, P., & Yildirim, E. A. (2005). Minimum-volume enclosing ellipsoids and core sets. Journal of Optimization Theory and Applications, 126(1), 1-21.

#	Kumar, P., & Ramos, E. A. (2002). I/O-efficient construction of Voronoi diagrams. Unpublished manuscript, July.

Invited Book Chapters

#	Kumar, P. (2003). Cache oblivious algorithms. In Algorithms for Memory Hierarchies (pp. 193-212). Springer. 

Refereed Book Chapters

*	Bulatov, Y., Jambawalikar, S., Kumar, P., & Sethia, S. (2004). Hand recognition using geometric classifiers. In Biometric Authentication (pp. 753-759). Springer, Berlin, Heidelberg. 

Refereed Proceedings

	Abrishami, S., Turek, M., Roychoudhury, A., & Kumar, P. (2020). Enhancing Profit from Stock Transactions using Neural Network-Based Time Series Predictions. In Grace Hopper Celebration Poster. Remote. 

*Since last FSU promotion: An LSTM based stock market prediction system for high frequency (in minutes) market data.  Co-author Abrishami (PhD Candidate); Co-author Turek (CS Undergraduate Student); Co-author Roychoudhury (PhD Candidate). 

	Roy Choudhury, A., Parajuli, B., & Kumar, P. (2020). QuadRoad: An Ensemble of CNNs for Road Segmentation. In 24th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Procedia Computer Science (pp. 138-147). Online. 

	Roychoudhury, Ahana, Parajuli, B., & Kumar, P. (2020). Reconstructing Road Network Graphs from both Aerial Lidar and Images. In Winter Conference on Applications of Computer Vision (pp. 9). IEEE. 

Co-author Roychoudhury (PhD Candidate); Co-author Parajuli (Industry). 

	Abrishami, S., Turek, M., Roychoudhury, A., & Kumar, P. (2019). Enhancing Profit by Predicting Stock Prices using Deep Neural Networks. In ICTAI 2019. Portland, OR: International Conference on Tools with Artificial Intelligence. 

*Since last FSU promotion: An LSTM based stock market prediction system for high frequency (in minutes) market data.  Co-author Abrishami (PhD Candidate); Co-author Turek (CS Undergraduate Student); Co-author Roychoudhury (PhD Candidate). 

*	Alahmadi, M., Hassel, J., Parajuli, B., Haiduc, S., & Kumar, P. (2018). Accurately Predicting the Location of Code Fragments in Programming Video Tutorials Using Deep Learning. In Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering (pp. 2-11). ACM. 

*Since last FSU promotion: Conference version of the accepted journal paper.  Co-author Parajuli (PhD Candidate). 

*	Parajuli, B., Kumar, P., Mukherjee, T., Pasiliao, E., & Jambawalikar, S. (2018). Fusion of aerial lidar and images for road segmentation with deep CNN. In Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 548-551). ACM. 

*Since last FSU promotion: Engineering a segmentation algorithm for roads mixing deep networks and curve reconstruction ideas.  Co-author Parajuli (PhD Candidate); Co-author Mukherjee (Former PhD Student); Co-Author Jambawalikar (Former Master's Student). 

*	Roychoudhury, A., Vanguri, R., Jambawalikar, S. R., & Kumar, P. (2018). Segmentation of Brain Tumors Using DeepLabv3+. In International MICCAI Brainlesion Workshop (pp. 154-167). Springer. 

*Since last FSU promotion: A machine learning competition we participated in with researchers from Columbia's Radiology Department.  Co-author Roychoudhury (PhD Candidate); Co-author Jambawalikar (Master's Student). 

*	Abrishami, S., & Kumar, P. (2018). Using Real-World Store Data for Foot Traffic Forecasting. In 2018 IEEE International Conference on Big Data (Big Data) (pp. 1885-1890). IEEE. 

*Since last FSU promotion: Time series forecasting for BloomIntelligence Inc. data using LSTMs and nearest neighbor search.    Co-author Abrishami (PhD Candidate). 

*	Mukherjee, T., Adolfsson, A., Eduardo, L. P., Jr., & Kumar, P. (2017). Hierarchical Learning For FM Radio Based Aerial Localization Using RSSI. In Proceedings of the GNU Radio Conference (pp. 8-8). GNU Radio. 

*Since last FSU promotion: Replacing GPS on UAVs using FM Transmissions.  Co-Author Mukherjee (Former PhD Candidate). 

*	Zhang, Z., & Kumar, P. (2017). mEEC: A novel error estimation code with multi-dimensional feature. In IEEE INFOCOM 2017-IEEE Conference on Computer Communications (pp. 1-9). IEEE. 

*Since last promotion: Error estimation codes helpful in wireless communication protocols. 

*	Mukherjee, T., Duckett, M., Kumar, P., Paquet, J. D., Rodriguez, D., Haulcomb, M., George, K., & Pasiliao, E. (2017). RSSI-Based Supervised Learning for Uncooperative Direction-Finding. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 216-227). Springer International Publisher AG. 

*Since last FSU promotion: Building a direction finding system using rotating Yagi Antennas and machine learning.  Co-author Mukherjee (former PhD Student); (Former CS Master's Student); Co-author Karmakar (Former MS Student); Co-author George (Former MS Student). 

*	Abrishami, S., Kumar, P., & Nienaber, W. (2017). Smart Stores: A scalable foot traffic collection and prediction system. In Industrial Conference on Data Mining (pp. 107-121). Springer, Cham. 

*Since last FSU promotion: Time series prediction for BloomIntelligence Inc. using various methods.  Co-author Abrishami (Doctoral Candidate). 

*	Volkova, P., Abrishami, S., & Kumar, P. (2016). Automatic Web Page Coloring. In International Symposium on Visual Computing (pp. 91-100). Springer, Cham. 

*Since last FSU promotion: An automatic web page recoloring system that is helpful for the color blind and artists.  Co-author Volkova (PhD Candidate); Co-author Abrishami (PhD Candidate). 

*	Imminni, S. K., Hasan, M. A., Duckett, M., Sachdeva, P., Karmakar, S., Kumar, P., & Haiduc, S. (2016). Spyse: A semantic search engine for python packages and modules. In Proceedings of the 38th International Conference on Software Engineering Companion (pp. 625-628). IEEE. 

*Since last FSU promotion: A scalable search and ranking engine for all Python codebases on the web.  Co-author Imminni (Master's Student); Co-author Karmakar (Master's Student). 

*	Mukherjee, T., Parajuli, B., Kumar, P., & Pasiliao, E. (2016). TruthCore: Non-parametric estimation of truth from a collection of authoritative sources. In 2016 IEEE International Conference on Big Data (Big Data) (pp. 976-983). IEEE. 

*Since last FSU promotion: A provably practical system to infer correct data from multiple input sources- useful in various machine learning algorithms.   Co-author Mukherjee (PhD Candidate); Co-author Parajuli (PhD Candidate). 

*	Kumar, P., Mukherjee, T., Pasiliao, E., & Xu, L. (2015). Cheap approximate localization using FM radio. In Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 77). ACM. 

*Since last FSU promotion: An effort towards replacing GPS using FM Transmitters.  Co-author Mukherjee (PhD Candidate). 

*	Kumar, P., Arkin, E. M., Díaz-Báñez, J. M., Hurtado, F., Kumar, P., Mitchell, J., Palop, B., Pérez-Lantero, P., Saumell, M., & Silveira, R. I. (2012). Bichromatic 2-center of pairs of points. In 10th Latin American international conference on Theoretical Informatics, Arequipa, Peru (pp. 25-36). Berlin, Heidelberg: Springer-Verlag. 

*Since last FSU promotion: Clustering datasets into two sets for the min-max-metric with various applications. [23 citations, Google Scholar]. 

*	McClain, J., & Kumar, P. (2012). Fast k-clustering queries on embeddings of road networks. In 3rd International Conference on Computing for Geospatial Research and Applications, Washington, D.C (pp. 11:1-11:9). New York, NY: ACM Press. 

*Since last FSU promotion: Clustering addresses on a road map into k-clusters in sub-second times.  (First scheduled talk in the conference); Co-author McClain (PhD Candidate). [5 citations, Google Scholar]. 

*	Chatterjee, S., Neff, B., & Kumar, P. (2011). Instant Approximate 1-Center on Road Networks Via Embeddings. In 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Chicago, IL (pp. 369-372). New York, NY: ACM Press. 

*Since last FSU promotion: A fast clustering method to cluster addresses on a map that finds the center fo the addresses in min-max shortest path metric.  Co-author Chatterjee (PhD Candidate); Co-author Neff (Master's Student). [8 citations, Google Scholar]. 

*	Chatterjee, S., Connor, M., & Kumar, P. (2010). Geometric Minimum Spanning Trees with GeoFilterKruskal. In Symposium on Experimental Algorithms, Napoli, Italy (pp. 486-500). New York, NY: ACM Journal on Experimental Algorithmics. 

Series: LNCS. Volume: 6049. 

*	Connor, M., & Kumar, P. (2010). Nearest Neighbor Searching in the Plane. In Symposium on Experimental Algorithms, Napoli, Italy (pp. 501-512). New York, NY: ACM Journal on Experimental Algorithmics. 

Series: LNCS. Volume: 6049. 

*	Williams, C. H., Grant, B., Liu, X., Zhang, Z., & Kumar, P. (2010). Accurate Localization of RFID Tags Using Phase Difference. In IEEE International Conference on RFID 2010 (pp. 89-96). New York, NY: IEEE Press. Retrieved from http://ewh.ieee.org/mu/rfid2010/

[244 citations, Google Scholar]. 

*	Yao, B., Li, F., & Kumar, P. (2010). K Nearest Neighbor Queries and KNN-Joins in Large Relational Databases (Almost) for Free. In Accepted to 26th International Conference on Data Engineering, Long Beach, CA (pp. 4-15). New York, NY: IEEE Press. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.753

[98 citations, Google Scholar]. 

*	Yao, B., Li, F., & Kumar, P. (2009). Reverse Furthest Neighbors in Spatial Databases. In 25th International Conference on Data Engineering, Shanghai, China (pp. 664-675). New York, NY: IEEE Press. Retrieved from http://compgeom.com/~piyush/papers/rfn.pdf

*	Jambawalikar, S., & Kumar, P. (2008). A note on Approximate Minimum Volume Enclosing Ellipsoid of Ellipsoids. In Sixth International Conference on Computational Science and Applications, IEEE CS, Perugia, Italy (pp. 478-490). New York, NY: IEEE Press. Retrieved from http://www.ams.sunysb.edu/~piyush/publicat.html

*	Chebrolu, U., Kumar, P., & Mitchell, J. S. B. (2008). On finding large empty convex bodies in 3D scenes of polygonal models. In Sixth International Conference on Computational Science and Applications, IEEE CS, Perugia, Italy (pp. 382-393). New York, NY: IEEE Press. Retrieved from http://www.ams.sunysb.edu/~piyush/publicat.html

*	Connor, M., & Kumar, P. (2008). Parallel construction of k-nearest neighbor graphs for point clouds. In Point Based Graphics, 2008, Los Angeles, CA (pp. 1-7). New York, NY: IEEE Press. Retrieved from http://www.ams.sunysb.edu/~piyush/publicat.html

Invited to IEEE Transactions on Visualization and Computer Graphics, 2009. 

*	Sityon, A., Hall-Holt, O., Katz, M., Kumar, P., & Mitchell, J. S. B. (2006). Finding large sticks and potatoes in polygons. In 17th Annual ACM-SIAM Symposium on Discrete Algorithms, Miami, FL (pp. 474-483). Philadelphia, PA:SIAM, Society for Industrial and Applied Mathematics. Retrieved from http://www.ams.sunysb.edu/~piyush/publicat.html

*	Mhatre, A., & Kumar, P. (2006). Projective clustering and its application to surface reconstruction: extended abstract. In Twenty-Second Annual Symposium on Computational Geometry, Sedona, AZ (pp. 477-478). New York, NY: ACM Press. Retrieved from http://www.ams.sunysb.edu/~piyush/publicat.html

*	Bulatov, Y., Sethia, S., Jambawalikar, S., & Kumar, P. (2004). Hand recognition using geometric classifiers. In International Conference on Biometric, Hong Kong, China (pp. 753-759). Berlin, Heidelberg: Springer-Verlag. Retrieved from http://www.ams.sunysb.edu/~piyush/publicat.html

Best Paper Award in the Theory/Graphics session at Stony Brook's Graduate Research Conference, 2003. LNCS 3072. [76 Citations, Google Scholar]. 

#	Kumar, P., Yildirim, E. A., & Mitchell, J. S. B. (2003). Computing core-sets and approximate smallest enclosing hyperspheres in high dimensions. In Fifth Workshop on Algorithm Engineering and Experiments, Baltimore, MD (pp. 45-55). Philadelphia, PA: SIAM Books. Retrieved from http://www.ams.sunysb.edu/~piyush/meb/

[19 Citations, Google Scholar]. 

#	Cheng, S. W., Funke, S., Golin, M., Kumar, P., Poon, S-H., & Ramos, E. A. (2003). Curve reconstruction from noisy samples. In ACM Symposium on Computational Geometry, San Diego, CA (pp. 302-311). New York, NY: ACM Press. Retrieved from http://www.ams.sunysb.edu/~piyush/cr/

Acceptance Rate: 36%. [11 Citations, Google Scholar]. 

#	Kumar, P. (2001). Reviver: A Practical Provable Surface Reconstructor. In 11th Annual Fall Workshop on Computational Geometry. Mathematical Sciences Institute at Stony Brook. 

#	Dey, T. K., & Kumar, P. (1999). A simple provable algorithm for curve reconstruction. In ACM-SIAM Symposium on Discrete Algorithms, Baltimore, MD (pp. 893-894). Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM). Retrieved from http://www.ams.sunysb.edu/~piyush/publicat.html

[103 Citations, Google Scholar]. 

Refereed Reviews

#	Kumar, P. (2002). Lectures on discrete geometry by Jiri Matousek. ACM Computing Reviews. Retrieved from http://www.computingreviews.com/review/review_review.cfm?review_id=126575

#	Kumar, P. (2002). 3D Game Engine Design: A Practical Approach to Real-Time Computer Graphics by David H. Eberly. ACM Computing Reviews. Retrieved from http://www.computingreviews.com/review/review_review.cfm?review_id=126398

#	Kumar, P. (2002). A Generative Theory of Shape by Michael Leyton; Edited by G.Goos, J.Hartmanis, and J.van Leeuwen. ACM Computing Reviews.

#	Kumar, P. (2002). Lectures on Modern Convex Optimization Analysis, Algorithms, and Engineering Applications By Ahron Ben-Tal and Arkadi Nermirovski. ACM Computing Reviews.

#	Kumar, P. (2000). Handbook of Computational Geometry Edited by J.-R.Sack and J.Urrutia. ACM Computing Reviews. Retrieved from http://www.computingreviews.com/review/review_review.cfm?review_id=122980

Nonrefereed Books

*	Kumar, P., & Parajuli, B. (2015). Python Application Programming. Intelligent Robotics Inc. 

* Since last FSU promotion: An introductory book on Python Programming that took 8 years to write, and is still ongoing work. Has been adopted by multiple faculty members.  Co-author Parajuli (PhD Candidate). 

Nonrefereed Reports

*	Kumar, P. (2013). Geometric Clustering and its Applications. DTIC Document. 

*Since last promotion:. 

*	Chatterjee, S., Connor, M., & Kumar, P. (2009). Computing Geometric Minimum Spanning Trees Using the Filter-Kruskal Method. tech. rep., Florida State University. 

#	Kumar, P., & Ghosh, S. K. (1999). A Simple polygon triangulation algorithm. Mumbai, India: Tata Institute of Fundamental Research. 

#	Kumar, P. (1999). Simplifying Polygonal approximations of 2D Shapes. Aizu, India: Shape Modelling. Retrieved from http://www.ams.sunysb.edu/~piyush/publicat.html

Also a B.S. Thesis at IIT Kharagpur. 

Presentations

Refereed Workshops

For refereed workshops, 50.0% were national, 50.0% were state in scope.

*	Kumar, P., & Connor, M. (2007). Implementing a parallel dynamic approximate nearest neighbor search algorithm. Workshop delivered at Computational Geometry Fall Workshop 2007, IBM T.J. Watson Research Center, Hawthorne, NY. (National)

*	Kumar, P., & Yildirim, A. (2006). Computing Minimum Volume Enclosing Axis-Aligned Ellipsoids. Workshop delivered at Computational Geometry Fall Workshop 2006, Smith College, NY. (State)

*	Kumar, P., & Mhatre, A. (2006). Surface Reconstruction and normal estimation using projective clustering. Workshop delivered at Computational Geometry Fall Workshop 2006, Smith College. (National)

#	Kumar, P. (2001). Reviver: a practical provable surface reconstructor. Workshop delivered at Computational Geometry Fall Workshop 2000, Brooklyn Polytechnic, NY. (State)

The paper was also presented at Stony Brook in 2001. 

Invited Lectures and Readings of Original Work

For invited lectures and readings of original work, 40.0% were international, 26.7% were national, 28.9% were state, 4.4% were local in scope.

*	Kumar, P. (2019, May). Machine Learning. Delivered at Thapar Institute of Engineering and Technology, Patiala, India. (International)

*	Kumar, P. (2019, March). City Fiber 2019. Delivered at City of Tallahassee. (Local)

*	Kumar, P. (2018, September). Machine Learning Tutorial. Delivered at GNU Radio Conference, Las Vegas, Nevada. (International)

*	Kumar, P. (2018, April). Cheap Passive Approximate Localization. Delivered at Embry Riddle Aeronautical University, Daytona, Florida. (National)

*	Kumar, P. (2018, April). Machine Learning. Delivered at MLx18 a Machine Learning Expo, Florida State University. (Local)

*	Kumar, P. (2018). Cheap Approximate Localization using FM Radio. Delivered at ERAU, Daytona, Florida. (International)

*	Kumar, P. (2016, May). Research Overview. Delivered at IIT Delhi, Department of Computer Science, Delhi, India. (International)

*	Kumar, P. (2016, May). Research Overview. Delivered at IIT Mumbai, Department of Computer Science, Mumbai, India. (International)

*	Kumar, P. (2016, May). Research Overview. Delivered at IIT Delhi, Department of Electrical Engineering, Delhi, India. (International)

*	Kumar, P. (2016, May). Research Overview Talk. Delivered at Center for Artificial Intelligence and Robotics, Bangalore, India. (International)

*	Kumar, P. (2016, May). Theoretical and Practical Algorithms for the Real World. Delivered at Netaji Subhas Institute of Technology, New Delhi, India. (International)

*	Kumar, P. (2012, April). A Linearly Convergent Algorithm for Support Vector Classification with a Core-set Result. Delivered at Air Force Office of Research, Virginia. (National)

*	Kumar, P. (2012, April). Instant Approximate 1-centers on road networks. Delivered at AFOSR Meeting, Washington D.C. (National)

*	Kumar, P. (2012). Approximate 1-center on road networks. Delivered at Statistics Colloquim, Florida State University, Tallahassee, FL. (State)

*	Kumar, P. (2012). Fast smallest enclosing hypersphere computation. Delivered at IISc, Ann-Arbor, Michigan. (International)

*	Kumar, P. (2012). Instant Approximate 1-center on Road Networks. Delivered at AFOSR Meeting, Washington, D.C. (National)

*	Kumar, P. (2011, October). Instant Approximate 1-centers. Delivered at Texas A&M University. (State)

*	Kumar, P. (2011, August). Clustering large data sets. Delivered at BP Research. (National)

*	Kumar, P. (2011, April). Fast smallest enclosing hypersphere computation. Delivered at Air Force Office of Research, Virginia. (National)

*	Kumar, P. (2011, April). Nearest Neighbors and its Applications. Delivered at AFOSR Meeting, Washington D.C. (National)

*	Kumar, P. (2011). A Linearly Convergent Algorithm for Support Vector Classification with a Core-set Result. Delivered at BP Research, Houston, Texas. (International)

*	Kumar, P. (2011). A Linearly Convergent Algorithm for Support Vector Classification with a Core-set Result. Delivered at Texas A&M University, Texas. (International)

*	Kumar, P. (2010, August). Research Talk. Delivered at FallWorkshop in Computational Geometry, Rutgers University, Piscataway, NJ. (State)

*	Kumar, P. (2010, August). Research Talk. Delivered at The REEF, Destin, FL. (State)

*	Kumar, P. (2010, April). Research Talk. Delivered at NYU-Poly, New York City, NY. (State)

*	Kumar, P. (2009, June). Research Talk. Delivered at Oak Ridge National Labs, Oak Ridge, TN. (National)

*	Kumar, P. (2009, January). Research Overview. Delivered at Computational Statistics Group, Department of Biology, Florida State University, Tallahassee, Florida. (State)

*	Kumar, P. (2008, July). A note on Approximate Minimum Volume Enclosing Ellipsoid of Ellipsoids. Delivered at International Conference on Computational Science and Its Applications, Perugia, Italy. (International)

*	Kumar, P. (2008, July). On finding large empty convex bodies in 3D scenes of polygonal models. Delivered at International Conference on Computational Science and Its Applications, Perugia, Italy. (International)

*	Kumar, P. (2008, May). Weighted Minimum Enclosing Balls. Delivered at Department of Applied Math and Statistics, Stony Brook University, Stony Brook, NY. (State)

*	Kumar, P. (2007, July). Research Talk. Delivered at European Conference on Operations Research, Prague, Czech Republic. (International)

*	Kumar, P. (2007, July). Research Talk. Delivered at Joint EUROPT-OMS Meeting, Prague, Czech Republic. (International)

*	Kumar, P. (2007, March). Research Talk. Delivered at Department of Computer Science, Brooklyn Polytechnic, Brooklyn, NY. (State)

*	Kumar, P. (2006, November). Research Talk. Delivered at Fall workshop on Computational Geometry, Smith College, Smith College, NY. (State)

*	Kumar, P. (2006, November). Research Talk. Delivered at Department of Computer Science, SUNY Binghamton, Binghamton, NY. (State)

*	Kumar, P. (2006, May). Research Talk. Delivered at IBM Research, New Delhi, India. (International)

*	Kumar, P. (2006, January). Research Talk. Delivered at Symposium on Discrete Algorithms, Miami, FL. (National)

*	Kumar, P. (2005, June). Research Talk. Delivered at Workshop on Mathematical Programming in Data Mining and Machine Learning, Hamilton, CA. (National)

*	Kumar, P. (2005, April). Research Talk. Delivered at University of Texas, Dallas, Dallas, Texas. (State)

*	Kumar, P. (2004). Clustering and Reconstructing large data sets. Delivered at Florida State University, Tallahassee, FL. (State)

*	Kumar, P. (2004). Clustering and Reconstructing large data sets. Delivered at University of Mississippi, University, MS. (State)

#	Kumar, P. (2003, May). Research Talk. Delivered at DIMACS Workshops on Geometric Optimization: Approximation Algorithms for k-Center Clustering, Rutgers University, Piscataway, NJ. (National)

#	Kumar, P. (2003, May). Research Talk. Delivered at DIMACS Workshops on Computational Geometry: Hand Recognition Using Geometric Classifiers, Rutgers University, Piscataway, NJ. (National)

#	Kumar, P. (2002, July). Cache Oblivious Algorithms. Delivered at MPI-Saarbrücken, 02: Cache Oblivious Algorithms. (International)

(Sponsor: MPI). 

#	Kumar, P. (2001, June). Cache Oblivious Algorithms. Delivered at GI-Dagstuhl-Forschungsseminar, 02: Cache Oblivious Algorithms. (International)

(Sponsor: Dagstuhl Computer Science Foundation and MPI Saarbruecken). 

Information and Communication Technology

Computer Software Development

#	Kumar, P. (contract). Proteominer: A Tool to mine dieseases from MALDI-TOF data [Computer software]. University of Stony Brook: http://www.ams.sunysb.edu/kpradhan/proteoManual. 

Copyright Pending. 

*	Kumar, P. (2012). Map Meeting Point Problem [Computer software]. http://maps.compgeom.com. 

*	Kumar, P. (2007). STANN: A simple threaded approximate nearest neighbor library for C++ [Computer software]. http://www.compgeom.com/stann. 

*	Kumar, P. (2005). Finding large empty Ellipses [Computer software]. http://www.compgeom.com/piyush/potato/. 

#	Kumar, P. (2003). Minimum Enclosing Ball: A MATLAB code that computes the minimum enclosing ball of a given set of points [Computer software]. http://www.compgeom.com/meb/. 

#	Kumar, P. (1996). Reviver: A practical provable reconstructor. Ongoing Effort [Computer software]. http://www.ams.sunysb.edu/piyush/reviver/. 

Patented Inventions

*	Kumar, P. (submitted). Map Meeting point problem. 

*	Kumar, P. (submitted). System and methods for implementing parallel dynamic approximate nearest neighbor search algorithm. No. 60/986,713, FSU. 

This submission never made it from provisional to full application. 

*	Kumar, P., Mukherjee, T., Pasiliao, E., & Xu, L. (2018). Method for Passive Approximate Localization using Frequency Modulation and Software Defined Radio. 

*Since last FSU promotion: Co-inventor Mukherjee (PhD Candidate) [30 citations, Google Scholar]. 

*	Kumar, P., & Raychaudhuri, R. (2014). Stock ranking predictions based on neighborhood model. United States US 20140006313 A1, FSU. Tallahassee. Retrieved from http://www.google.com/patents/US20140006313

*	Kumar, P. (2013). Distributed Privacy Framework. CompGeom Inc. United States. Retrieved from https://register.blib.us

Contracts and Grants

Contracts and Grants Funded

*	Kumar, P. (Jun 2019–May 2020). Generation of Super-Resolution DWI MRI Images from Low-Resolution EPI-DWI MRI Images. Funded by Planning Grant Award. Total award $13,000. 

	Kumar, P. (2019–2019). Programming GANs for Seismic Applications. Funded by TGS-NOPEC. Total award $75,000. 

*	Kumar, P. (2016–2017). Bigdata Fellowship. Funded by Captiveyes. Total award $18,000. 

*	Kumar, P. (Oct 2012–Mar 2013). Meeting Point: Eco Smart Mobility Solutions. Funded by NSF ICorps Award. Total award $50,000. 

Acceptance Rate: Only 100 scientists awarded across the nation. 

*	Aggarwal, Sudhir (PI), Kumar, P., & Li, F. (Feb 2011–Sep 2014). Non-Conventional Search and Identification of Delinquent. Funded by Florida Department of Revenue. Total award $632,465. 

*	Kumar, P. (Jan 2011–Jan 2012). REU Supplement: CAREER: Core-Sets for Geometric Optimization and their Applications. Funded by National Science Foundation. Total award $16,000. 

*	Kumar, P. (Apr 2010–Apr 2013). Geometric Clustering and its Applications. Funded by Air Force Office of Research. Total award $360,000. 

Acceptance Rate: Only 38 scientists awarded across the nation. 

*	Kumar, P. (May 2009–Dec 2009). Robot Motion Planning. Funded by FAMU. Total award $44,000. 

(Subcontract from Emmanuel Collins, Department of Mechanical Engg., FSU-FAMU School of Engg.). 

*	Kumar, P. (May 2009–Aug 2009). COFRS Grant - Purpose: Geometric Clustering and its applications. Funded by Florida State University. Total award $14,000. 

*	Kumar, P. (Mar 2009–Mar 2009). Hardware Endowment: 32-core AMD Workstation with 128GB RAM. Purpose: Multicore Geometric Algorithms Research. Funded by AMD. Total award $24,000. 

*	Kumar, P. (Jan 2007–Jan 2011). Core Sets for Geometric Optimization and its applications. Funded by NSF CAREER Award. Total award $400,000. 

Acceptance Rate for the year 06-07 in Computer Science: 15% out of 300+ applicants. 

*	Liu, X. (PI), & Kumar, P. (Co-PI). (Dec 2006–Nov 2007). Planning Grant - Purpose: A prototype system for constructing Annotated 3D Maps from Images and LIDAR. Funded by Florida State University. Total award $12,000. 

*	Kumar, P. (2006–2006). Provost's Faculty Travel Grant. Funded by Florida State University. Total award $500. 

*	Kumar, P. (2006–2006). NASA Undergraduate fellowship for summer. Funded by NASA. Total award $3,000. 

*	Kumar, P. (Dec 2005–Nov 2006). Planning Grant - Purpose: Advance research on accurate surface reconstruction algorithms. Funded by Florida State University. Total award $10,000. 

*	Kumar, P. (May 2005–May 2006). First-Year Assistant Professor Award. Funded by Florida State University. Total award $14,000. 

Purpose: Support initial research of newly recruited faculty. 

*	Kumar, P. (2005–2005). Visiting Industrial Scholar Program. Funded by Oak Ridge Associated Universities. Total award $600. 

*	Kumar, P. (2004–2004). Funding Agency Travel Grant. Funded by Florida State University. Total award $500. 

Technology Licensing

*	Kumar, P., & Connor, M. (2016). Fast Dynamic Approximate Nearest Neighbor Search Data Structure Using Space Filling Curves. 

$3.9M raised by licensing company. 

Service

Florida State University

FSU University Service

*	Member, Curriculum (2013–2021).

As a member of the Curriculum Committee, several times throughout the year, I review course syllabuses and curricular policies and procedures at both the undergraduate and graduate level. These reviews are to ensure that courses offered meet university requirements as well as ensure objectives, assignments, and requirements for the courses are appropriate for the course, department, and university level. We are the main force behind policing curriculum for the entire university. This committee is one of the most challenging committees to be on, in terms of time - given that more than 2000 faculty constantly change their curriculum, and propose new courses. 

	Member, Chair Search Committee 2021, Department of Scientific Computing (2021).

*	Member, A&S Dean Search Committee (2012).

FSU College Service

*	Member, Computational Biology (2014–present).

FSU Department Service

	Chair, Faculty Evaluation Committee (2020–2021).

*	Member, PhD Portfolio and Qualification Exam Committee (2017–2018).

*	Member, Admissions and Aid Committee (2016–2017).

*	Member, Ph.D. Portfolio Committee (2016–2017).

*	Chair, Search Committee (2016–2017).

*	Chair, Systems Administration Policy Committee (2016–2017).

*	Member, Admissions and Aid Committee (2014–2015).

*	Member, Ph.D. Portfolio Committee (2014–2015).

*	Chair, Systems Administration Policy Committee (2014–2015).

*	Member, Admissions Committee (2012–2013).

*	Member, FSU Dean Search Committee (2012–2013).

*	Member, Recruitment Committee (2012–2013).

*	Member, PhD Portfolio and Qualification Exam Committee (2011–2012).

*	PI, Proposal for Library Remote Display System (2011–2012).

*	PI, Proposal for VoIP Replacement for the College (2011–2012).

*	PI, Worked on creating a new yearly poster session for the Department, and evaluating new ways of displaying posters using LCDs (2011–2012).

*	Member, Chair Selection Committee (2010–2011).

*	Member, PhD portfolio Committee (2010–2011).

*	ACM Faculty Representative, FSU ACM Chapter (2006–2011).

I manage the organization of various events like programming competitions, graduate research conference, invited talks for and from students, and the departmental picnic. I also tutor and take the students for the regional ACM programming competition. We have been to the following campuses for the regional programming contest in the past: - University of South Alabama, Mobile, AL. Oct 27-29th, 2006. - Florida Institute of Technology, Melbourne, FL. Oct 12-14, 2007. - Armstrong Atlantic State University, Savannah, GA. Oct 24-26th, 2008. 

*	Member, PhD portfolio Committee (2009–2010).

*	Member, Faculty Evaluation Committee (2008–2009).

*	Member, PhD portfolio Committee (2008–2009).

*	Member, Admissions Committee (2007–2008).

*	Member, PhD portfolio Committee (2007–2008).

*	Member, Admissions Committee (2006–2007).

*	Member, PhD portfolio Committee (2005–2006).

*	Member, Admissions Committee (2004–2005).

*	Member, Graduate Curriculum Committee (2004–2005).

The Profession

Guest Reviewer for Refereed Journals

*	ACM Journal of Experimental Algorithms, Optimization Methods and Software (Jan–Dec 2017).

*	ACM Computing Reviews (Jan–Dec 2010).

*	Computational Geometry Theory and Applications (Jan–Dec 2010).

*	Computer Aided Geometric Design (Jan–Dec 2010).

*	Discrete Applied Mathematics (Jan–Dec 2010).

*	IEEE Transactions on Image Processing (Jan–Dec 2010).

*	IEEE Transactions on Pattern Recognition and Image Processing (Jan–Dec 2010).

*	IEEE Transactions on Visualization and Computer Graphics (Jan–Dec 2010).

*	Journal of Algorithms (Jan–Dec 2010).

*	Journal of Discrete Algorithms (Jan–Dec 2010).

*	Journal of Electronic Imaging (Jan–Dec 2010).

*	Journal of the ACM (Jan–Dec 2010).

*	Optimization (Jan–Dec 2010).

Chair of a Symposium

#	Kumar, P. (Chair). (2003, January). ACM-SIAM Symposium on Discrete Algorithms. Symposium conducted at the meeting of ACM-SIAM, Baltimore, MD. 

(Sponsor: SUNY Stony Brook). ALENEX 2009. 

Reviewer or Panelist for Grant Applications

*	US-Israel Binational Science Foundation (2010–present).

*	National Science Foundation (2017).

*	National Science Foundation (2016).

*	National Science Foundation (2012).

*	National Science Foundation (2007).

Service to Professional Associations

*	Conference Reviewer, ACM Symposium on Computational Geometry, IEEE HiPC (2017).

*	Panelist, National Science Foundation (NSF) (2012).

*	Conference Reviewer, ACM Symposium on Computational Geometry (2010).

*	Conference Reviewer, ACM-SIAM Symposium on Discrete Algorithms (2010).

*	Conference Reviewer, Eurographics (2010).

*	Conference Reviewer, Europar (2010).

*	Conference Reviewer, IEEE Visualization (2010).

*	Conference Reviewer, Symposium on Experimental Algorithmics (2010).

*	Conference Reviewer, Workshop on Experimental Algorithmics (2008).

*	Conference Reviewer, Point Based Graphics (2007–2008).

Program Committees

	Kumar, P. (2022). Committee Member. Microservices 2022 Committee. 

	Kumar, P. (2020). Committee Member. GEOProcessing 2020 Committee. 

	Kumar, P. (2019). Committee Member. European Symposium on Algorithms. 

*	Kumar, P. (2018). Committee Member. International Conference on Machine Learning and Data Mining. 

*	Kumar, P. (2010). Committee Member. IC3. 

*	Kumar, P. (2008). Committee Member. Point Based Graphics. 

*	Kumar, P. (2008). Committee Member. ALENEX 2008: Workshop on Algorithm Engineering and Experiments. 

*	Kumar, P. (2007). Committee Member. Point Based Graphics. 

Workshop Organization

*	Kumar, P. (2016). 3D Printing Workshop. FSUS. 

*	Kumar, P. (2016). Software Defined Radio Workshop. Ettus Research; FSU. 

Young Scholars

*	Kumar, P. (2016). Young Scholars. FSU. 

I guided 4 young scholars (high-school students) so far (2 in 2016). One of the high school students was able to publish with me in ICSE 2016, and now is doing his undergraduate in CS at Washington University in St. Louis. 

*	Professional activities that occurred prior to my last promotion review.
#	Professional activities that occurred prior to my employment at FSU.