Natallia V. Katenka
- Courses4
- Reviews13
- School: University of Rhode Island
- Campus:
- Department: Mathematics
- Email address: Join to see
- Phone: Join to see
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Location:
45 Upper College Rd
Kingston, RI - 02881 - Dates at University of Rhode Island: May 2014 - May 2020
- Office Hours: Join to see
N/A
Would take again: Yes
For Credit: Yes
0
0
Mandatory
Awesome
Dr. Katenka is an excellent choice for statistics and, in terms of class organization, one of the greatest teachers at this university. The lectures are quite extensive and can be intimidating at first, however the weekly HW helps to solidify the majority of the material. She must keep up with the content at all times, yet her tests are simple. Excellent class!
Biography
University of Rhode Island - Mathematics
Experience
Boston University
Postdocdoral Researcher
My postdoctoral research at Boston University fell within a long-term collaborative effort of Dr Eric Kolaczyk and Dr. Mark Crovell that is aimed at developing a comprehensive framework for accurate and computationally efficient statistical propagation of low-level uncertainty in primary network data sources (gene expressions, protein profiles, NetFlow traffic, etc.) to high-level knowledge and decision-making tasks (detection, monitoring, prediction, etc.). My major contributions were related to three projects: (1) Inference and Characterization of Multi-Attribute Networks with Application to Computational Biology, (2) Intrusion as (Anti)-social Communication: Characterization and Detection, and (3) Epidemiological Models for the Internet Applications.
University of Rhode Island
Associate Professor
Natallia worked at University of Rhode Island as a Associate Professor
University of Rhode Island
Assistant Professor
Since I joint the Department of Computer Science and Statistics at URI in 2012, I have started several collaborations and became particularly interested in application of network-based statistical analysis to cyber security, digital forensics, financial stock market, and virtual reality.
University of Michigan
Research Assistant and Teaching Fellow
Network analysis has become a center of my research since I started my dissertation in 2004 at the University of Michigan (Ann Arbor). The primary focus of my work was application of statistical analysis to wireless sensor networks. In collaboration with my advisers, Professors Liza Levina and George Michailidis, I developed a novel data fusion framework for target detection (1), target localization and diagnostic (2), and target tracking (3) for binary data that exhibit a competitive performance even compared to maximum likelihood estimation based on full signal measurements. Additionally, we proposed a flexible design approach for randomly deployed networks which allows for unreliable sensors and aims to minimize the overall network cost, subject to two fundamental constraints: [1] coverage and [2] connectivity .
Belhard
Software QA Engineer
Natallia worked at Belhard as a Software QA Engineer
Education
University of Michigan
Ph.D.
Statistics
University of Michigan
Ph.D.
Statistics
University of Michigan
Research Assistant and Teaching Fellow
Network analysis has become a center of my research since I started my dissertation in 2004 at the University of Michigan (Ann Arbor). The primary focus of my work was application of statistical analysis to wireless sensor networks. In collaboration with my advisers, Professors Liza Levina and George Michailidis, I developed a novel data fusion framework for target detection (1), target localization and diagnostic (2), and target tracking (3) for binary data that exhibit a competitive performance even compared to maximum likelihood estimation based on full signal measurements. Additionally, we proposed a flexible design approach for randomly deployed networks which allows for unreliable sensors and aims to minimize the overall network cost, subject to two fundamental constraints: [1] coverage and [2] connectivity .Belarusian State University
MS
Applied Mathematics and Computer Science
Positions
Hamburg University of Applied Sciences
Visiting Professor
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Hamburg University of Applied Sciences
Visiting Professor
urn:li:fs_position:(ACoAAAN7-KUBOw_Z-HIY3GFINdc43MfriteNVLM,296678671)
Hamburg University of Applied Sciences
Visiting Professor
urn:li:fs_position:(ACoAAAN7-KUBOw_Z-HIY3GFINdc43MfriteNVLM,296678671)
Hamburg University of Applied Sciences
Visiting Professor
urn:li:fs_position:(ACoAAAN7-KUBOw_Z-HIY3GFINdc43MfriteNVLM,296678671)
Hamburg University of Applied Sciences
Visiting Professor
urn:li:fs_position:(ACoAAAN7-KUBOw_Z-HIY3GFINdc43MfriteNVLM,296678671)
