Computer Science and Statistics

College of Arts and Sciences

Assistant Professor Natallia Katenka, Director/Advisor of Statistics Undergraduate Studies

katenka-200-241

Contact Information

Office Tyler Hall 247
Dept. of Computer Science and Statistics
Tyler Hall
9 Greenhouse Road, Suite 2
University of Rhode Island
Kingston, RI, 02881
Email nkatenka@cs.uri.edu
CV Current Version

Research Faculty at Digital Forensics and Cyber Security Center
Co-Founder of Virtual Immersive Biometry-enabled Environment Lab

Education

2009 Ph.D. University of Michigan Ann Arbor, Michigan Statistics
2005 M.S. University of Michigan Ann Arbor, Michigan Statistics
2004 M.S. Belarusian State University Minsk, Belarus Applied Math
2003 B.S. Belarusian State University Minsk, Belarus Computer Science

Previous Positions

2009 – 2012 Posdoc and Lecturer Boston University
Department of Mathematics and Statistics
Boston, Massachusetts
2004 – 2009 Research and Teaching Assistant University of Michigan
Department of Statistics
Ann Arbor, Michigan
2003 – 2004 Research Assistant National Academy of Sciences of Belarus Minsk, Belarus

Internships

2005 Statistical Intern Statistical Analysis and Reporting PFIZER Inc.
2004 Quality Assurance Engineer Software Quality Department Belhard Group
2003 Statistical Intern Biostatistics Department i3STATPROBE, Inc.

Teaching

  • STA 307 – Biostatistics I
  • STA 308 – Introductory Statistics
  • STA 409 – Statistical Methods in Research I
  • STA 411 – Biostatistics II
  • STA 441 – Introduction to Multivariate Statistical Learning
  • STA 541 – Applied Multivariate Analysis
  • STA 536 – Longitudinal Analysis
  • STA 592 – Statistical Analysis of Network Data

Research Interests

Statistical Analysis and Inference of Multivariate and Network Data with applications to:

  • Cyber Security: anomaly detection, analysis of threats and complex behaviors,  infection models for different internet applications
  • Virtual Reality: study of changing perspective and its effect on immersion
  • Network Substance Use Prevention: new methods to improve HIV treatment and prevention among networks of people who use drugs
  • Education: analysis of atudents’ attitudes and achievement in intro courses
  • Finance: inference and characterization of multi-attribute  networks, portfolio selection
  • Oncology: joint modeling of time to recurrence and cancer stage at recurrence
  • Signal Processing: optimal wireless sensor network (WSN) Design, multi-target detection, localization, tracking, and diagnostics with WSN

Selected publications

  •  Jaladhanki, S., Katenka, N., DiPippo, L. (2017), “Epidemiological Study of Browser-Based Malware for University of Network Flow Data,” to appear in Proc. of 6th International Conference on Complex Networks and Their Applications, Lyon, France.
  • Leonard, T., Hamel, L., Daniels, N., Katenka, N., (2017), “Assortative Mixture of English Parts of Speech,” to appear in Proc. of 6th International Conference on Complex Networks and Their Applications, Lyon, France.}
  •  Marchenko, O., Tsodikov, A., Keener,R., Katenka, N. , and Thomas, Y. (2017), “Joint Modeling of Time to Recurrence and Cancer Stage at Recurrence in Oncology Trials,” Journal of Biopharmaceutical Statistics, vol. 7, 1-15.
  •  Breard, G. and Katenka, N.  (2016), “Inference of Partial Canonical Correlation Networks with Application to Stock Market Portfolio Selection,” in Proceedings of the IEEE International Conference on Data Mining (ICDM), Data Mining in Networks Workshop, IEEE Computer Society, 69-76.
  • Chae, Y., Katenka, N., and DiPippo, L. (2016), “Adaptive Threshold Selection for Trust-based Detection Systems,” in Proceedings of the IEEE International Conference on Data Mining (ICDM), Data Mining for Cyber Security Workshop, IEEE Computer Society, 281-287.
  • Adochite, R-C., Moshnikova, A., Golijanin, J., Andreev, O.A., 
Katenka, N., Reshetnyak, Y.K. (2016), “Comparative Study of Tumor Targeting 
and Biodistribution of pH (Low) Insertion Peptides (pHLIP Peptides) Conjugated 
 with Different Fluorescent Dyes “, Molecular Imaging and Biology, World Molecular Imaging Society,1-11.
  • Antosh, M., Wijesinghe, D., Shrestha, S., Lanou, R., Huang, Y., Hasselbacher, T., Fox, D., Neretti, N., Sun, S., Katenka, N., Cooper,L., Andreev, O., and Reshetnyak, Y. (2015), ”Enhancement of radiation effect on cancer cells by gold-pHLIP”, Proceedings of the National Academy of Sciences (PNAS) of the United States of America, vol. 112, no.17, 5372-5376.
  • Katenka, N., Levina, E., and Michailidis, G. (2013), ”Tracking Multiple Targets Using Binary Decisions from Wireless Sensor Networks,” the Journal of the American Statistical Association (JASA) Applications and Case Studies, vol. 108, 398–410.
  • Katenka, N., Kolaczyk, E. (2012), ”Inference and Characterization of Multi-Attribute Networks with Application to Computational Biology,” Annals of Applied Statistics, 6(3), 1068-1094.
  • Ding, Q., Katenka, N., Barford, P., Kolaczyk, E., and Crovella, M. (2012), ”Intrusion as (Anti)social Communication: Characterization and Detection,” in Proceedings of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Beijing, China, August 2012.
  • Katenka, N., Levina, E., and Michailidis, G. (2008), ”Robust Target Localization from Binary Decisions in Wireless Sensor Networks,” Technometrics, 50(4), 448-461.
  • Katenka, N., Levina, E., and Michailidis, G. (2008), ”Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks,” IEEE Transactions on Signal Processing, 56, 329-338.

Book Chapter

  • Katenka, N. (2015), Detection, Localization, and Tracking of a Single and Multiple Targets with Wireless Sensor Networks, in textitComputational Network Theory- Theoretical Foundations and Applications-Quantitative and Network Biology, edited by Dehmer M., Emmert-Streib F., Pickl S., Wiley-Blackwell.

Book

  • Marchenko, O., and Katenka, N. (Muti-author, contracted, to be submitted in December 2017, to appear in 2018), Pharmaceutical Analyses: Great Alone, Better Together, Birkhauser, Springer Science, New York.

Technical Reports

  • Flowers, A., Katenka, N., Tatoian, R., Herve, J.-Y.(2016), “Modular Immersive Virtual Reality System for the Analysis of Emotional Reactivity,” TR16-337,URI.
  • Sosa A., Katenka, N., DiPippo, L., Bryan, K. (2016), “Comparison of Select Port Sweep Detection Methods,” TR16-336, URI.
  • Piserchia, M. and Katenka, N. (2016), “A Random Crawl Through the #Twittersphere: Sampling Large Online Social Networks for Information Diffusion Modeling,” TR16-335 , URI.
  • Katenka, N., Levina, E., and Michailidis, G. (2007), “A Cost-Efficient Approach to Wireless Sensor Network Design,” TR07 Statistics, University of Michigan.

Student Advisees

URI student takes home best poster award from New England Statistics Symposium.
Read more.

PhD of Computer Science Advisees

  • Adrian Flowers (co-advise with J.-Y. Herve). “BioPresence: A Virtual Reality Biofeedback System.” Exp 2018.
  • Younghun Chae (co-advised with with L. DiPippo). “Representing Statistical Network-Based Anomaly Detection by Using Trust”. Fall 2016.

Masters of Statistics Advisees

  • Ayako Miura (with A. Buchanan). “Evaluating the Effect of Health Beliefs on HIV Testing among a Network of People who Inject Drugs.” Exp 2018.
  • Hilary Aroke (with A. Buchanan). “Doctor Shopping for Prescription Opioids: A Network Perspective in the Rhode Island Prescription Drug Monitoring Program.” Exp 2018.
  • Katie Abramski. “A Network-Based Approach to Modeling Migration Patterns of Refugees in Europe.” Exp 2018.
  • Katie Dio. “A Statistical Analysis of Students’ Attitudes and Achievement in Introductory Statistics Courses.” Exp 2018.
  • Zidan Wu. “Network-based Statistical Methods for the Analysis of Association Networks of Stock Returns.” Fall 2016.
  • Michael Piserchia. “A Statistical Analysis and Modeling of Information Diffusion Across Online Social Networks.” Summer 2015.
  • Qingfen Zhang (with G. Puggioni). Modeling the Probability of Motgage Default via Logistic Regression and Survival Analysis. Spring 2015.

Masters of Computer Science  Advisees

  • Timothy Leonard (with N. Daniels).”Assortative Mixture of English Parts of Speech.” Exp 2018.
  • Robert Tatoian ( with J.-Y. Herve). “Procedural Generation of Environments for Immersive Virtual Reality System with Application to Physical Therapy.” Exp 2018.
  • Semhar Gebregiorgis (with L. DiPippo). “Netflow Analysis for anomalies detection via pattern-visualization from the point of view of applications (URLs) visited.” Fall 2017.
  • Sindhura Jaladhanki (with L. DiPippo). “Epidemiological Study of Browser-Based Malware.” Fall 2017.
  • Airel Sosa (with L. DiPippo). “Ground Truth for Network Anomaly Detection.” Graduation TBD.

Independent Studies Advisees

  • Timothy Leonard “Graph-Based Analysis of Text Data” (2017)
  • Robert Tatoian “Inroduction to Statistics and Design of Experiment” (2016)
  • Na Li “Introduction to Data Analysis for Cyber Security” (2016)
  • Gregory Breard “Advanced Network Inference for Stock Market Data” (2015-2016)
  • Daven Amin, Adrian Flowers.”Predictive Modeling of the 2014-2015 Ebola Epidemic in Sierra Leone.” (2015)
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