Department of Computer Science and Engineering
neetipok 'at' buffalo 'dot' edu
I am a Ph.D student in CSE Department at State University of New York, Buffalo under the guidance of Prof. Venu Govindaraju. My research interests include Data Mining and Machine Learning. I am interested in working on challenging problems with broader social impact in an interdisciplinary environment.
Prior to joining the Ph.D. program, I was a Researcher in the Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN. I have completed my Masters in Computer Science from University of California, Riverside, where I was the recipient of Dean's Distinguished Fellowship.
- Combining disparate data sources for improved poverty prediction and mapping, Neeti Pokhriyal and Damien Jacques, Proceedings of the National Academy of Sciences (PNAS), 2017, doi: 10.1073/pnas.1700319114
- Cognitive-Biometric Recognition From Language Usage: A Feasibility Study, Neeti Pokhriyal, Kshitij Tayal,Ifeoma Nwogu, Venu Govindaraju, IEEE Transactions on Information Forensics and Security ( Volume: 12, Issue: 1, Jan. 2017 )
- Virtual Networks and Poverty Analysis in Senegal, Neeti Pokhriyal, Wen Dong, Venu Govindaraju, D4D, NetMob, April 2015 Paper
- Analysis of nucleosome positioning landscapes enables gene discovery in the human malaria parasite Plasmodium falciparum, Xueqing M. Lu, Evelien M. Bunnik, Neeti Pokhriyal, Sara Nasseri, Stefano Lonardi and Karine G. Le Roch, BMC Genomics, 2015.
- A Large-scale Study of Language Usage as a Cognitive Biometric Trait, Neeti Pokhriyal, Ifeoma Nwogu, Venugopal Govindaraju, Elsevier Handbook on Big Data Analytics, 2015 (Invited).
- Use of Language as a Cognitive Biometric Trait, Neeti Pokhriyal, Ifeoma Nwogu, Venugopal Govindaraju, Proceedings of IEEE International Joint Conference on Biometrics, September, 2014.
- Novel Gene Discovery in the Human Malaria Parasite using Nucleosome Positioning Data, Neeti Pokhriyal, Nadia Ponts, Elena Harris, Karine Le Roch and Stefano Lonardi, In Proceedings of Ninth International Conference on Computational Systems Bioinformatics (Acceptance Rate 30/135=22%), vol. 9, p. 124-135, Stanford, CA, August, 2010.
- Anomaly Detection for High Fidelity Core Simulators, Neeti Pokhriyal, Ugur Mertyurek, Andrew Godfrey, Jay Jay Billings, In Proc. of the American Nuclear Society Annual Meeting, 2013.
- Knowledge Discovery from Nuclear Reactor Simulation Data, Neeti Pokhriyal, Ugur Mertyurek, Andrew Godfrey, Jay Jay Billings, Presented at the 2nd International Workshop\ on Analytics for Cyber-Physical Systems (ACS-2013) in conjunction with SIAM International Data Mining Conference, 2013.