Shanu Verma
Postdoctoral researcher in multi-objective combinatorial optimization
shanu-verma
Hyderabad, India
61 connections
Joined May 2026
Summary
Research focus and technical expertise: Shanu Verma is focused on multi-objective combinatorial optimization, evolutionary algorithms (notably NSGA-II), and metaheuristics, producing survey and applied research on enhancing NSGA-II for combinatorial problems. google+2
Publication and impact: Verma has authored a highly cited comprehensive review on NSGA-II and multiple conference and journal papers (including IEEE Access contributions), indicating active scholarship and citation impact in optimization research. google+2
Academic trajectory and roles: Verma completed an M.Sc. in Mathematics (Central University of Rajasthan), pursued a Ph.D. at IIT Roorkee (2018–2024) as a research scholar, and moved to a postdoctoral researcher position at IIT Hyderabad from 2024. ac+1
Tools and applied work: In addition to theoretical and survey work, Verma develops tools and solvers (e.g., BSD-MTSP Solver) and contributes code and project resources via personal profiles such as GitHub. github+1
Collaboration network: Verma's work includes repeated collaborations with advisors and co-authors (for example Millie Pant) and international collaborators (for example Václav Snášel), reflecting joint research across institutions. springer+1
Work
Education
Projects
Writing
Correction: Web service location–allocation using discrete NSGA‑II with matrix based genetic operations and a repair mechanism
November 1, 2023Correction notice (with authorship) for an article on discrete NSGA-II applied to web service location–allocation, published in Journal of Ambient Intelligence and Humanized Computing.
A Balanced Squad for Indian Premier League Using Modified NSGA-II
January 1, 2022Application of a modified NSGA-II to form balanced squads for the Indian Premier League; published in IEEE Access (conference/journal paper).
A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems
January 1, 2021A literature review and comprehensive survey of NSGA-II and its applications to multi-objective combinatorial optimization; a highly cited review article summarizing variants and applications of NSGA-II.