Senior Lecturer

Dr. Noam Goldberg



    2010 PhD, Operations Research, RUTCOR, Rutgers University

    2004 MSc, Decisions and Operations Research, School of Management, Tel Aviv University

    1998 BSc, with High Distinction (Magna Cum Laude), Computer Science, University of Toronto

    1996 BBA (Honours Degree), Schulich School of Business, York University 


    Academic Appointments

    4/2018 - Present, Senior Lecturer, Department of Management, Bar-Ilan University

    10/2013 - 3/2018, Lecturer, Department of Management, Bar-Ilan University


    Postroctoral Fellowships / Positions

    2013 Carnegie Mellon University

    2011-2012 Argonne National Laboratory

    2009-2011 Technion - Israel Institute of Technology


    Journal Publications


    Noam Goldberg, Isaac Meilijson, Yael Perlman. "Dynamic history-dependent tax and environmental compliance monitoring of risk-averse firms", Annals of Operations, online before print, 2022.


      Noam Goldberg, Michael Poss. "Linearized formulations for failure aware barter exchange'', Optimization Letters, 16 (4), pp. 1301-1313, 2022


    Marin Bougeret, Gyorgy Dósa, Noam Goldberg, Michael Poss. "Constant-ratio approximation for robust bin packing with budgeted uncertainty". SIAM Journal on Discrete Mathematics 36 (4), pp. 2534-2552, 2022.


    Noam Goldberg, Steffen Rebenack, Youngdae Kim, Vitaliy Krasko, Sven Leyffer. "MINLP Formulations for Continuous Piecewise Linear Function Fitting", Computational Optimization and Applications, 79, pp. 223-233, 2021.


    Noam Goldberg, Gabor Rudolf. “On the Complexity and Approximation of the Maximum Expected Value All-or-Nothing Subset”, Discrete Applied Mathematics, 283 (15), pp. 1-10, 2020.


    Noam Goldberg, Michael Poss, Maximum Probabilistic All-or-Nothing Paths", European Journal of Operational Research, 283 (1), pp. 279-289, 2020.


    Noam Goldberg, Shlomo Karhi. "Online Packing of Arbitrary Sized Items into Designated and Multipurpose Bins", European Journal of Operational Research, 279 (1), pp.  54-67, 2019.


    Jonathan Eckstein, Ai Kawaga, Noam Goldberg. "REPR: Rule-Enhanced Penalized Regression", INFORMS Journal on Optimization,  1 (2), pp. 143-163, 2019.


    Yael Deutsch, Noam Goldberg, Yael Perlman. "Incorporating Monitoring Technology and On-site Inspections into an n-Person Inspection Game", European Journal of Operational Research,  274 (2), pp. 627-637, 2019.


    Tatyana Chernonog, Noam Goldberg. "On the Multi-Product Newsvendor with Bounded Demand Distributions", International Journal of Production Economics, 203, pp. 38--47, 2018.


    Noam Goldberg. "Nonzero-Sum Nonlinear Network Path Interdiction with Application to Inspection in Terror Networks", Naval Research Logistics, 64 (2), pp. 139-153, 2017.


    Hyun-Seob Song, Noam Goldberg, Ashutosh Mahajan, Doraiswami Ramkrishna. "Sequential Computation of Elementary Modes and Minimal Cut Sets in Genome-scale Metabolic Networks Using Alternate Integer Linear Programming". Bioinformatics, 33 (15), pp. 2345–2353, 2017.


    Boaz Golany, Noam Goldberg, Uriel G. Rothblum. "A Two-Resource Allocation Algorithm with an Application to Large-Scale Zero-Sum Defensive  Games", Computers and Operations Research, 78, pp. 218–229, 2017, DOI:


    Noam Goldberg, Shlomo Karhi. "Packing into Designated and Multipurpose Bins: A Theoretical Study and Application to the Cold Chain", Omega, 71, pp. 85--92, 2017, DOI:


    Noam Goldberg, Sven Leyffer. "An Active Set Method for Second-order Conic Constrained Quadratic Programming", SIAM Journal on Optimization, 25 (3), pp. 1455-1477, 2015. DOI:


    Noam Goldberg, Sven Leyffer, Ilya Safro. "Optimal Response to Epidemics and Cyber Attacks in Networks", Networks,  66(2), pp. 145-158, 2015. DOI: 10.1002/net.21619.


    Noam Goldberg, Youngdae Kim, Sven Leyffer, Thomas Veselka. “Adaptively Refined Dynamic Program for Linear Spline Regression”, Computational Optimization and Applications 58 (3), pp. 523-541, 2014, DOI: 10.1007/s10589-014-9647-y.


    Yael Deutcsh, Boaz Golany, Noam Goldberg, Uriel G. Rothblum, “Inspection Games with Local and Global Allocation Bounds“, Naval Research Logistics 60 (2), pp. 125-140, 2013, DOI: 10.1002/nav.21524.


    Boaz Golany, Noam Goldberg, Uriel G. Rothblum.Allocating Multiple Defensive Resources in a Zero-sum Setting, Annals of Operations Research, 225 (1), pp. 

    91–109, 2015, DOI: 10.1007/s10479-012-1196-0.


    Jonathan Eckstein, Noam Goldberg. An Improved Branch-and-Bound Method for Maximum Monomial Agreement”. INFORMS Journal on Computing 24 (2), pp. 328-341, 2012, DOI: 10.1287/ijoc.1110.0459.


    Noam Goldberg, Jonathan Eckstein. “Sparse Weighted Voting Classifier Selection and its Linear Programming Relaxations”. Information Processing Letters 112, pp. 481-486, 2012, DOI: 10.1016/j.ipl.2012.03.004.


    Endre Boros, Noam Goldberg, Paul Kantor, Jonathan Word. Optimal Sequential Inspection Policies”. Annals of Operations Research 187 (1), pp. 89–119, 2011, DOI: 10.1007/s10479-010-0799-6.


    Refereed Conference Proceeding Publications

    Noam Goldberg, Ishy Zagdoun. "Sparsity and Performance Enhanced Markowitz Portfolios Using Second-Order Cone Programming", in Advances in Intelligent Systems and Computing, Springer-Verlag, (Proceedings of WCGO 2019).


    Yacine Al Najjar, Noam Goldberg, Shlomo Karhi, Michael Poss. "Robust Two-Stage Packing into Designated and Multipurpose Bins", in Proceedings of 9th IFAC Conference on Manufacturing Modelling, Management and Control, 2019.


    Aniket Basu Roy, Marin Bougeret, Noam Goldberg and Michael Poss. "Approximating the robust bin packing with budgeted uncertainty", In: Friggstad Z., Sack JR., Salavatipour M. (eds) Algorithms and Data Structures. WADS 2019. Lecture Notes in Computer Science, vol 11646. Springer, Cham. 


    Jonathan Eckstein, Noam Goldberg, Ai Kawaga, "Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement", the 34th International Conference of Machine Learning (ICML), 2017 (acceptance rate: 25%).


    Noam Goldberg, Sven Leyfer, Todd Munson. “A new perspective on sparse SVM”. Proceedings of the SIAM International Conference on Data Mining (SDM), 2013 (acceptance rate 25.5%). 


    Noam Goldberg, Jonathan Eckstein. “Boosting Classifiers with Tightened L0-Relaxation Penalties”. Proceedings of the 27th International Conference of Machine Learning (ICML), 2010 (acceptance rate 26%).


    Ossama Younis, Andrei Ghetie, Noam Goldberg, Sunil Samtani, Maneesh Vaarshney, Mitesh Patel. “A Framework for Evaluating Network Optimization Techniques”. In proceedings of IEEE Sarnoff Symposium, 2012.


    Noam Goldberg, Eric van den Berg, Provin Gurung, Sunil Samtani, Aristides Staikos. “Local Unicast Routing Agent”. In proceedings of IEEE Military Communications 2009.


    Noam Goldberg, Chung-chieh Shan. Boosting Optimal Logical Patterns Using Noisy Data”. Proceedings of the SIAM International Conference on Data Mining (SDM), 2007. (FP acceptance rate 12%).


    Refereed conferences

    Endre Boros, Noam Goldberg, Paul B. Kantor, Jonathan Word. “Optimal Sequential Inspection Policies”. MSOM, 2010. 


    Jonathan Eckstein, Noam Goldberg. An Improved Branch-and-Bound Method for Maximum Monomial Agreement. Neural Information Processing Systems (NIPS) Workshop in Optimization for Machine Learning, Whistler BC, Canada 2008.


    Robust optimization, combinatorial optimization and convex relaxations, operations research in healthcare, applied and computational game theory, optimization in machine learning and data mining

    Last Updated Date : 05/06/2024