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Persoonlijk profiel

Research profile

Nikhil Bansal is a Full Professor and Chair of Combinatorial Optimization in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e).  Nikhil’s main research interests are theoretical computer science with emphasis on design and analysis of algorithms for discrete optimization problems.  He also works in related areas such as discrete math, complexity theory, machine learning and probability.

Nikhil Bansal’s VICI-funded reserch, ‘Making discrete decisions in a continuous way’ explores the interface between continuous and discrete mathematics. The aim is to design a variety of new and powerful algorithmic techniques that find an arrangement or structure in discrete objects, which is in some sense optimal and applicable to a wide variety of problems.

Academic background

Nikhil Bansal received his BSc in Computer Science from IIT Mumbai (1999) and obtained his PhD from Carnegie Mellon University in 2003. He worked at the IBM T.J. Watson Research Center until 2011, where he also managed the Algorithms group. He has received several best paper awards for his work and is the recipient of the NWO VIDI, TOP and VICI grants, and an ERC consolidator grant.

In addition to his work at TU/e, Nikhil is also a researcher at CWI, the Dutch National Research Institute for Mathematics and Computer Science in Amsterdam. He has served or is active on several Editorial Boards (Journal of the ACM, SIAM  Journal on Computing, Mathematics of  Operations Research) and Program Committees: FOCS 2018, HALG 2018, ICALP,  Approx, IPCO, SPAA, IPDPS 2017, WAOA, ITCS, ESA (chair 2015), STOC 2014 and FOCS. He has also organized and participate at workshops at CWI Amsterdam, UC Berkeley and HIM, Bonn.

Vingerafdruk Verdiep u in de onderzoeksgebieden waarop Nikhil Bansal actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.

  • 2 Soortgelijke profielen

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Onderzoeksoutput

An algorithm for komlós conjecture matching Banaszczyk's bound

Bansal, N., Dadush, D. & Garg, S., 30 apr 2019, In : SIAM Journal on Computing. 48, 2, blz. 534-553 20 blz.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Open Access
Bestand
  • 3 Citaten (Scopus)
    20 Downloads (Pure)

    New tools and connections for exponential-time approximation

    Bansal, N., Chalermsook, P., Laekhanukit, B., Nanongkai, D. & Nederlof, J., 1 okt 2019, In : Algorithmica. 81, 10, blz. 3993-4009 17 blz.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    Open Access
    Bestand
  • 8 Downloads (Pure)

    On a generalization of iterated and randomized rounding

    Bansal, N., 23 jun 2019, STOC 2019 - Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing. Charikar, M. & Cohen, E. (redactie). New York: Association for Computing Machinery, Inc, blz. 1125-1135 11 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    On the discrepancy of random low degree set systems

    Bansal, N. & Meka, R., 2019, Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms. Chan, T. M. (redactie). New York: Association for Computing Machinery, Inc, blz. 2557-2564 8 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
  • The (H, k)-server problem on bounded depth trees

    Bansal, N., Eliáš, M., Jeż, Ł. & Koumoutsos, G., 1 feb 2019, In : ACM Transactions on Algorithms. 15, 2, 26 blz., 28.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • Prijzen

    Algorithms for coping with uncertainty and intractability

    N. Bansal (Ontvanger), 2013

    Prijs: ERCConsolidatorWetenschappelijk

  • NWO Vici Award : Continuous Methods in Discrete Optimization

    N. Bansal (Ontvanger), 2018

    Prijs: NWOViciWetenschappelijk

  • NWO Vidi Award : Coping with an unknown future

    N. Bansal (Ontvanger), 2011

    Prijs: NWOVidiWetenschappelijk

  • Knipsels

    ACUITY: Algorithms for coping with uncertainty and intractability

    N. Bansal

    8/11/16

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    Are mobile apps the future? Highlights from Myntra’s mobile hack day

    Nikhil Bansal

    29/04/15

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    General Electric : U.S. Patents Awarded to Inventors in Illinois (Jan. 29)

    N. Bansal

    29/01/15

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    U.S. Patents Awarded to Inventors in New York (March 27)

    N. Bansal

    27/03/14

    5 items van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    Scriptie

    An instance for the Polacek-Svensson algorithm with a quasi-plynomial running time

    Auteur: den Toonder, R., 31 aug 2013

    Begeleider: Bansal, N. (Afstudeerdocent 1)

    Scriptie/masterproef: Master

    Bestand

    A second look at the asymptotic PTAS for square packing

    Auteur: Ficker, A., 31 dec 2013

    Begeleider: Bansal, N. (Afstudeerdocent 1)

    Scriptie/masterproef: Master

    Bestand

    Counting matroids

    Auteur: van der Pol, J., 30 jun 2013

    Begeleider: Bansal, N. (Afstudeerdocent 1), van der Hofstad, R. (Afstudeerdocent 2) & Pendavingh, R. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Bestand

    Improved algorithms for clustering ASML event log data: fast hierarchical clustering by a combination of cosine similarity and Fiedler vectors

    Auteur: Slenders, T., 31 aug 2014

    Begeleider: Bansal, N. (Afstudeerdocent 1) & Hamer, van den, P. (Externe persoon) (Externe coach)

    Scriptie/masterproef: Master

    Bestand

    On local search and LP and SDP relaxations for k-set packing

    Auteur: Oosterwijk, T., 31 okt 2013

    Begeleider: Bansal, N. (Afstudeerdocent 1)

    Scriptie/masterproef: Master

    Bestand