Nishant Malik Headshot

Nishant Malik

Assistant Professor

School of Mathematical Sciences
College of Science

585-475-5439
Office Hours
Tue 2:00-4:00pm, Fri 12:00-2:00pm
Office Location

Nishant Malik

Assistant Professor

School of Mathematical Sciences
College of Science

Education

BS, MS, University of Delhi (India), M.Tech, University of Hyderabad (India), Ph.D., University of Potsdam (Germany)

Bio

Dr. Malik did his Ph.D. work at the Potsdam Institute for Climate Impact Research in Germany under the supervision of renowned mathematical physicist Juergen Kurths. Subsequently, the Physical Society of Berlin awarded the Carl Ramsauer Prize for 2012 to his Ph.D. work. Before joining RIT, he worked at Dartmouth College and UNC-Chapel Hill as a postdoc. Dr. Malik has a wide range of research interests within the data-driven analysis and mathematical modeling of complex systems. In his research, he employs tools from network science, theory of nonlinear and stochastic dynamical systems, and applied statistics and enjoys working on mathematical problems across disciplines in natural and social sciences. For more information, please visit Dr. Malik's personal webpage. 

585-475-5439

Areas of Expertise

Select Scholarship

Journal Paper
Malik, Nishant, David Spencer, and Quang Neo Bui. "Power in the U.S. political economy: A network analysis." J Associate Inf Sci Technol.. (2021): 1-13. Print.
Rana, Kamal, Ugur Ozturk, and Nishant Malik. "Landslide Geometry Reveals its Trigger." Geophysical Research Letters. (2021): e2020GL090848. Print.
Malik, Nishant. "Uncovering Transitions in Paleoclimate Time Series and the Climate Driven Demise of an Ancient Civilization." Chaos: An Interdisciplinary Journal of Nonlinear Science 30. (2020): 83108. Print.
Malik, Nishant and Ugur Ozturk. "Rare Events in Complex Ssystems: Understandingand Prediction." Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (9), 090401 30. (2020): 90401. Print.
Lee, Hsuan-Wei, et al. "Social clustering in epidemic spread on coevolving networks." Physical Review E 99. 62301 (2019): 1-14. Print.
Ozturk, Ugur, et al. "A Network‐based Comparative Study of Extreme Tropical and Frontal Storm Rainfall Over Japan." Climate Dynamics 53. (2019): 521–532. Print.
Barnett, Ian, et al. "EndNote: Feature-based classification of networks." Network Science. (2019): 1-7. Print.
Invited Keynote/Presentation
Malik, Nishant, et al. "Understanding and Prediction of RegionalClimate Phenomena using Climate Network Analysis." SIAM Conference on Application of Dynamical Systems, Minisymposium on Dynamical Systems on Networks: Stability and Applications. SIAM. Online, Virtual Conference. 27 May 2021. Conference Presentation.
Malik, Nishant. "Uncovering Dynamical Transitions in Paleoclimate Time Series." Third Northeast Regional Conference on Complex Systems. Department of Mathematics, University at Buffalo, SUNY. Buffalo, NY (ONLINE), NY. 3 Apr. 2020. Conference Presentation.
Malik, Nishant. "Integrating Methods of Network Science, Dynamical Systems, and Machine Learning for Data Analysis." Chapman Chair Lecture Series: Complex Systems Meet Machine Learning:From Basics to Real Applications,. CNSM, University of Alaska, Fairbanks. Fairbanks, Alaska. 28 May 2019. Lecture.

Currently Teaching

IMGS-890
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
MATH-790
0 - 9 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
MATH-498
1 - 3 Credits
This course is a faculty-guided investigation into appropriate topics that are not part of the curriculum.
IMGS-790
1 - 6 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-740
3 Credits
The analysis and solution of imaging science systems problems for students enrolled in the MS Project capstone paper option.
IMGS-699
0 Credits
This course is a cooperative education experience for graduate imaging science students.
MATH-182
4 Credits
This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates.
MATH-789
1 - 6 Credits
This is a master-level course on a topic that is not part of the formal curriculum. This course is structured as an ordinary course and has specific prerequisites, contact hours, and examination procedures.

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