Portrait image of Anuj Bajaj
Anuj Bajaj, Ph.D.

Assistant Professor

Contact Information

OFFICE: Library 408A
PHONE: 814-824-2119

Education

  • Ph.D., (Applied) Mathematics, Wayne State University, 2021
  • M.A., Mathematical Statistics, Wayne State University, 2019
  • MSc, Mathematics, The University of British Columbia, 2016
  • MSc, Mathematics, University of Delhi, 2014
  • BSc (Hons.), Mathematics, University of Delhi, 2012 

Dr. Bajaj is a recent graduate from Wayne State University and is an assistant professor of data science at ÈÕº«ÂÒÂ×. His research focuses on convex optimization, variational analysis, algorithms, and computational optimization. Originally from India, Bajaj came to the United States in 2016 after completing his master's degree in Canada. Apart from his love for mathematics and working with students, Bajaj really enjoys the outdoors, as well as being social and adventurous. His passion for food allows him to travel and become well-versed with different cultures and people, which he finds truly gratifying. 

ÈÕº«ÂÒÂ× Dr. Bajaj
    • Calculus  
    • Calculus Applications in Machine Learning
    • Probability and Statistics
    • Big Data and Machine Learning 
    • Intro to Data Science
    • Intro to Computer Science
    • Probability and Statistics
    • Calculus Applications in Machine Learning
    • Big Data Analytics
    • Data Visualization & Communication
    • Algorithm Development 
    • Convex Optimization  
    • Algorithms and Computational Optimization  
    • Variational Analysis
    • Data Science/Machine Learning 
    • SN Social Sciences, Reviewer, 2023 (Feb – Present)  
    • Association of Computing and Machinery (ACM), Member, 2022
    • Italian Journal of Pure and Applied Mathematics, Reviewer, 2022
    • Journal of Optimization Theory and Applications, Reviewer, 2021
    • Applicable Analysis, Reviewer, 2021
    • Positivity (POST), Reviewer, 2021
    • Mathematical Modeling and Application (MMA), Editorial Board Member/Reviewer, 2020 – 2022 
    • (with Boris Mordukhovich, Mau Nam Nguyen, and Tuyen Tran) Solving a continuous multifacility location problem by DC algorithms, Optim. Method Softw., 0 (2020), pp 1–23.
    • (with Warren Hare, and Yves Lucet) Visualization of the ?-subdifferential of piecewise linear-quadratic functions, Comput. Optim. Appl., 67 (2017), pp 421–442.  
    • Nominee for General Education Teaching Award, Wayne State University
    • Robert and Nancy Irvan Endowed Fellowship in Mathematics, Wayne State University
    • Nominee for Heberlein Teaching Award, Wayne State University
    • M.F Janowitz Endowed Mathematics Scholarship, Wayne State University
    • University Graduate Fellowship, The University of British Columbia
    • Graduate Dean’s Entrance Scholarship, The University of British ColumbiaÂ