email: vadim.semenov@nyu.edu
pronouns: he/him/his
Campus | Location | Office Hours |
---|---|---|
Manhattan | Warren Weaver Hall 506 | Thursdays, 6:00-8:00pm |
Fridays, 6:00-8:00pm | ||
By appointment | ||
Online | Zoom | By appointment |
I work in Geometric Analysis and Convex Geometry. My main concentrations at this moment are Monge-Ampére partial differential equations with convex geometric structures, so-called Minkowski-type Problems, and analytic-geometric inequalities associated with convex bodies. In the past, I did some research in Differential Geometry and Ergodic Theory. At NYU I work with Erwin Lutwak, Stephanie Mui, Deane Yang and Gaoyong Zhang. My advisors are Erwin Lutwak, Deane Yang and Gaoyong Zhang.
I am partially supported by an NSF grant.
Here is a link to my CV.Announcement: I am currently looking for undergraduate and graduate students who are interested in learning more about Optimal Mass Transport upcoming Spring. Depending on the number of participants the format will be different but the plan is to read Villani's textbook "Topics in Optimal Transportation" (first 10 weeks of the semester) and then read some papers. In general, everyone would be expected to do a lot of reading and presenting. We will meet on a regular basis. Prerequisites are some knowledge of Measure Theory and Analysis. Undergraduate students will need to learn some measure theory over January before we begin in the Spring. Please note that I, myself, have only vague familiarity with the subject. If you are interested please send me an email.
Course | Location | Time |
---|---|---|
MATH-UA.0328 Honors Analysis I (TA) | CIWW 517 | Fridays, 9:30-10:45am |
MATH-UA.0329 Honors Analysis II (TA) | CIWW 201 | Fridays, 3:30-4:45pm |
FAQ: I don't grade the HW for these courses.
If you want to learn more about my research, here is the tentative schedule of my upcoming talks:
I will attend:
You could have recently met me at:
The recordings of my past talks:
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I am also into Mountaineering and Kayaking. If you plan to summit something let me know.