This field, situated at the intersection of technology, statistics, and business strategy, is dedicated to extracting valuable insights from diverse datasets. Utilizing advanced algorithms and machine learning techniques, data scientists analyze information to uncover patterns, trends, and correlations, driving innovation across industries.


Francisco Benita

PhD, Monterrey Tech

Lynette Cheah

Adjunct Associate Professor
PhD, Massachusetts Institute of Technology

Bikramjit Das

Associate Professor and Associate Head of Pillar (Graduate Programme)
PhD, Cornell University

Peter Jackson

Professor and Director of Aviation Studies Institute (ASI), SUTD
PhD, Stanford University

Lin Meixia

Meixia Lin

Assistant Professor
PhD, National University of Singapore

Karthyek Murthy

Assistant Professor
PhD, Tata Institute of Fundamental Research

Rakesh Nagi

Rakesh Nagi

Professor and Head of Pillar
PhD, University of Maryland

Karthik Natarajan

PhD, National University of Singapore

Nuno Antunes Ribeiro

Assistant Professor
PhD, University of Coimbra

Sun Zeyu

Sun Zeyu

PhD, Singapore University of Technology and Design

Antonios Varvitsiotis

Assistant Professor
PhD, Dutch National Research Institute for Mathematics and Computer Science (CWI)

James Wan

Senior Lecturer
PhD, University of Newcastle, Australia

Ying Xu

Senior Lecturer
PhD, Carnegie Mellon University

Fang Zhao

Fang Zhao

Senior Lecturer
PhD, Massachusetts Institute of Technology


INFORMS Applied Probability Society Best Publication Award2023, Karthyek Murthy, INFORMS Applied Probability Best Publication Award

Highly cited paper (top 1% in Engineering). Web of Science. “Human Mobility Behavior in COVID-19: A Systematic Literature Review and Bibliometric Analysis” (Oct 2022)2022, Francisco Benita, Clarivate Web of Science

SNI Level II Scholar (National Researchers System, Mexico)2022, Francisco Benita, National Council for Science and Technology (Conacyt), Mexico

Operations Research Letters Meritorious Service Award2022, Karthyek Murthy, Operations Research Letters Editorial Board

IISE David F. Baker Distinguished Research Award2022, Rakesh Nagi, Institute of Industrial Systems & Engineers

The First Place Winner of the Best Service Science Student Paper Competition in 2021 INFORMS Conference on Service Science2021, Ying Xu, The Institute for Operations Research and the Management Sciences Society (INFORMS)

INFORMS Junior Faculty Forum (JFIG) Best Paper competition, Third place2021, Karthyek Murthy, INFORMS Junior Faculty Interest Group

INFORMS Koopman Award from Military Application Society2021, Rakesh Nagi, INFORMS

Runner-Up Best Paper Award by the Air Transport Research Society2021, Nuno Antunes Ribeiro, Air Transport Research Society

Winner of the Cross-region Collaborative Grant by the Transportation Science and Logistics (TSL) Society of INFORMS2021, Nuno Antunes Ribeiro, INFORMS

Elected Fellow of International Statistical Association2020, Bikramjit Das, International Statistical Association

Chair, East-Asian and Pacific Regional Committee, Bernoulli Society (2020-2022)2020, Bikramjit Das, Bernoulli Society

DARPA Graph Challenge (Sparse Deep Neural Network), Champion2020, Rakesh Nagi, MIT

Winter Simulation Conference, Best Theoretical Paper Award2019, Karthyek Murthy, Winter Simulatiion Conference

DARPA Graph Challenge, Honorable Mention2019, Rakesh Nagi, MIT

DARPA Graph Challenge, Innovation Award2019, Rakesh Nagi, MIT

INFORMS Koopman Award from Military Application Society2018, Rakesh Nagi, INFORMS

DARPA Graph Challenge, Finalist2018, Rakesh Nagi, MIT

DARPA Graph Challenge, Innovation Award2018, Rakesh Nagi, MIT

SUTD Best TA Award2017, Francisco Benita, ESD@SUTD

DARPA Graph Challenge, Honorable Mention2017, Rakesh Nagi, MIT

IIE Fellow Award, the Institute of Industrial Engineers2010, Rakesh Nagi, Institute of Industrial Systems & Engineers

Promising Inventor Award, SUNY/RF2004, Rakesh Nagi, The State University of New York

Buffalo Business First’s 40 under 40 award2004, Rakesh Nagi, Buffalo Business First

IIE’s Outstanding Young Industrial Engineer Award in Academia1999, Rakesh Nagi, Institute of Industrial Systems & Engineers


Quasispecies Analysis of SARS-CoV-2 via Non-convex Tensor CompletionSep 2023, Meixia Lin, (PI), Temasek Labs@SUTD, 1 year, $0.1M

The Impacts of On-demand Platforms under Individual Choice EndogeneityJan 2023, Ying Xu, (PI), MOE Tier 2 Grant, 3 years, $0.38M

Hybrid AI/ML-Optimization Approaches to Cloud Native Workflow Scheduling,” IBM-Illinois Discovery Accelerator InstituteJan 2023, Rakesh Nagi, IBM-Illinois Discovery Accelerator Institute

Mitigating the Harm of Fentanyl through Holistic Demand/Supply-Chain Interventions and Equitable Resource Allocations,” National Science Foundation (USA)Jan 2023, Rakesh Nagi, National Science Foundation

Towards Co-clustering in Big Data: An optimization perspectiveSep 2022, Bikramjit Das, (co-PI), SUTD Kickstarter Initiative (SKI) Grant, 3 years, $0.47M

Towards Co-clustering in Big Data: An Optimization PerspectiveSep 2022, Meixia Lin, (PI), SUTD Kickstarter Initiative (SKI) Grant, 3 years, $0.47M

Building Proposal Development Evaluation with Artificial IntelligenceSep 2022, Antonios Varvitsiotis, (co-PI), Urban Redevelopment Authority (URA), 3 years

Airfield and Airspace ManagementApr 2022, Nuno Antunes Ribeiro, (PI), Civil Aviation Authority of Singapore, 2 years, $0.6M

Computer Science Approaches to Quantum Computing for FinanceMar 2022, Antonios Varvitsiotis, (co-PI), Quantum Engineering Programme (QEP) 2.0, 3 years

Rapid Evaluation Tools Within the Intelligent Optimisation PlatformOct 2021, Nuno Antunes Ribeiro, (co-PI), NRF (Aviation Transformation Programme), 2 years, $0.5M

Data Driven Design Solutions for Cities Urban ScienceApr 2021, Francisco Benita, (co-PI), MOE-SGP Growth Plan Grant for Cities, 3 years, $0.5M

Resilient Airspace Operations for SingaporeMar 2021, Nuno Antunes Ribeiro, (PI), NRF (Aviation Transformation Programme), 2 years, $0.4M

Data-driven Modeling for Risk-averse Analytics and Reliable OperationsOct 2020, Karthyek Murthy, (PI), Ministry of Education Tier 2 Academic Research Funding, 3 years, $0.8M

Analysis of Optimization Algorithms Using Sum of SquaresOct 2020, Antonios Varvitsiotis, (PI), SUTD, 3 years

Adaptive Learning for Interactive Agents and SystemsApr 2020, Antonios Varvitsiotis, (co-PI), ANR-NRF, 3 years

Information Sharing and Collaborative Decision MakingSep 2019, Karthyek Murthy, (PI), Civil Aviation Authority of Singapore, 2.5 years, $0.6M

Airfield Management and EconomicsSep 2019, Nuno Antunes Ribeiro, (PI), Civil Aviation Authority of Singapore, 2 years, $0.5M

Learning from Common Connections in Social NetworksJun 2018, Bikramjit Das, (PI), MOE Tier 2 Grant, 3 years, $0.40M

Linking Water Availability to Hydropower Supply – an Engineering Systems ApproachJan 2018, Bikramjit Das, (co-PI), MOE Tier 2 Grant, 3 years, $0.50M


HyLAC: Hybrid Linear Assignment solver in CUDA2024, Rakesh Nagi, Journal of Parallel and Distributed ComputingS Kawtikwar, R NagiVolume 187, Pages 104838 [Publication Link]

Parallelizing Maximal Clique Enumeration on GPUs2023, Rakesh Nagi, 2023 32nd International Conference on Parallel Architectures and Compilation Techniques (PACT)M Almasri, YH Chang, I El Hajj, R Nagi, J Xiong, W HwuPages 162-175 [Publication Link]

BEEP: Balanced Efficient subgraph Enumeration in Parallel2023, Rakesh Nagi, Proceedings of the 52nd International Conference on Parallel ProcessingS Kawtikwar, M Almasri, WM Hwu, R Nagi, J XiongPages 142-152 [Publication Link]

Multi-Target Tracking with GPU-Accelerated Data Association Engine2023, Rakesh Nagi, 2023 26th International Conference on Information Fusion (FUSION)S Kawtikwar, R NagiPages 1-8 [Publication Link]

Systemic Risk in Financial Networks: The Effects of Asymptotic Independence2023, Bikramjit Das, Under review (Finance and Stochastics)B. Das and V. Fasen-Hartmann [Publication Link]

Inference for Heavy-Tailed Data with Gaussian Dependence2023, Bikramjit Das, Under review (Econometrics and Statistics)B. Das [Publication Link]

Aggregating Heavy-tailed Random Vectors: from Finite Sums to Levy Processess2023, Bikramjit Das, Under review (Annales de l'institut Henri Poincaré Probabilités et Statistiques)B. Das and V. Fasen-Hartmann [Publication Link]

On Heavy-tailed Risks under Gaussian Copula: The Effects of Marginal Transformation2023, Bikramjit Das, Under review (Journal of Multivariate Analysis)B. Das and V. Fasen-Hartmann [Publication Link]

Exploring Non-mandatory Travel Behavior in Jakarta City: Travel Time, Trip Frequency, and Socio-demographic Influences2023, Francisco Benita, Transportation research interdisciplinary perspectivesF.Benita21, 100896 [Publication Link]

Understanding Short-distance Travel to School in Singapore: A Data-driven Approach2023, Francisco Benita, Travel Behaviour and SocietyF. Benita, G. Bansal, G. Piliouras, B. Tunçer31, 349-362 [Publication Link]

Achieving Efficiency in Black-box Simulation of Distribution Tails with Self-structuring Importance Samplers2023, Karthyek Murthy, Operations ResearchA. Deo, K. MurthyIn press [Publication Link]

Importance Sampling for Minimization of Tail Risks: A tutorial2023, Karthyek Murthy, Winter Simulation ConferenceA. Deo, K. MurthyIn press 

A Nonparametric Approach with Marginals for Modeling Consumer Choice2023, Karthyek Murthy, Economics & Computation (EC)Y. Ruan, X. Li, K. Murthy, K. Natarajanpp. 1078 [Publication Link]

A Highly Efficient Algorithm for Solving Exclusive Lasso Problems2023, Meixia Lin, Optimization Methods and SoftwareM. Lin, Y. Yuan, D. Sun, and K-C.Toh [Publication Link]

A Positive and Moment-preserving Fourier Spectral Method2023, Meixia Lin, SIAM Journal on Numerical AnalysisZ. Cai, B. Lin, and M. Lin [Publication Link]

Passenger-Centric Slot Allocation at Schedule-Coordinated Airports2023, Nuno Antunes Ribeiro, Transportation ScienceS Birolini, A Jacquillat, P Schmedeman, N Ribeirovol. 57 (1), pp. 4-26 [Publication Link]

How do airlines react to slot displacements? Evidence from a major airport2023, Nuno Antunes Ribeiro, Journal of Air Transport ManagementL Pouget, NA Ribeiro, AR Odoni, AP Antunesvol. 106, pp 102300 [Publication Link]

Parallel k-clique Counting on GPUs2022, Rakesh Nagi, Proceedings of the 36th ACM International Conference on SupercomputingM Almasri, IE Hajj, R Nagi, J Xiong, W HwuPages 10-14 [Publication Link]

PARSEC: PARallel Subgraph Enumeration in CUDA2022, Rakesh Nagi, 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)V Dodeja, M Almasri, R Nagi, J Xiong, W HwuPages 168-178 [Publication Link]

Asymptotic Behavior of Common Connections in Sparse Random Networks2022, Bikramjit Das, Methodology and Computing in Applied ProbabilityB. Das, T. Wang and G. Dai 24, 2071--2092 [Publication Link]

Tail Probabilities of Random Linear Functions of Regularly Varying Random Vectors2022, Bikramjit Das, ExtremesB. Das, V. Fasen-Hartmann and C. Klüppelberg25, 721--758 [Publication Link]

Effects of Urban Park Spatial Characteristics on Visitor Density and Diversity: A Geolocated Social Media Approach2022, Francisco Benita, Landscape and Urban PlanningIT. Chuang, F. Benita, B. Tunçer226, 104514 [Publication Link]

What have we Learned About Socioeconomic Inequalities in the Spread of COVID-19? A Systematic Review2022, Francisco Benita, Sustainable Cities and SocietyF. Benita, L. Rebollar-Ruelas, E.D. Gaytán-Alfaro104158 [Publication Link]

Associations Between Street Connectivity and Poverty2022, Francisco Benita, Networks and Spatial EconomicsF.Benita22 (1), 181-201 

From Qualitative Data to Correlation Using Deep Generative Networks: Demonstrating the Relation of Nuclear Position with the Arrangement of Actin Filaments2022, James Wan, PLOS OneJ. Vasudevan, C. Zheng, J. G. Wan, T.-J. Cham, L. C. Teck, and J. G. Fernandezvol. 17 [Publication Link]

Combining Retrospective Approximation with Importance Sampling for Optimizing Conditional Value-at-risk2022, Karthyek Murthy, Winter Simulation ConferenceA. Deo, K. Murthy, T. Sarkerpp. 891 - 902 [Publication Link]

Admission Control In the Presence of Arrival Forecasts with Blocking-based Policy Optimization2022, Karthyek Murthy, Winter Simulation ConferenceK. Murthy, D. Padmanabhan, S. Bhatpp. 2270 - 2281 [Publication Link]

Confidence Regions in Wasserstein Distributionally Robust Estimation2022, Karthyek Murthy, BiometrikaJ. Blanchet, K. Murthy, N.Si109(2): 295 - 315 [Publication Link]

An Augmented Lagrangian Method with Constraint Generation for Shape-constrained Convex Regression Problems2022, Meixia Lin, Mathematical Programming ComputationM. Lin, D. Sun, and K-C. Tohvol. 14(2), pp. 223-270 [Publication Link]

Signal analysis via the stochastic geometry of spectrogram level sets2022, Meixia Lin, IEEE Transactions on Signal ProcessingS. Ghosh, M. Lin, and D. Sunvol. 70, pp. 1104-1117 [Publication Link]

Support Vector Machines as Bayes’ Classifiers2022, Peter Jackson, Operations Research LettersP. Jackson 50, No. 5, Sept. 2022, pp. 423-429 

Hykernel: A Hybrid Selection of One/two-phase Kernels for Triangle Counting on GPUs2021, Rakesh Nagi, 2021 IEEE High Performance Extreme Computing Conference (HPEC)M Almasri, N Vasudeva, R Nagi, J Xiong, WM HwuPages 1-7 [Publication Link]

Stochastic Superiority Equilibrium in Game Theory2021, Rakesh Nagi, Decision AnalysisA Yekkehkhany, T Murray, R NagiVolume 18, Issue 2, Pages 153-168 [Publication Link]

K-clique Counting on GPUs2021, Rakesh Nagi, arXiv e-printsM Almasri, I El Hajj, R Nagi, J Xiong, W Hwu2104.13209 

Integrating Empirical Analysis into Analytical Framework: An Integrated Model Structure for On-Demand Transportation2021, Ying Xu, The Proceedings of the 2021 INFORMS International Conference on Service Science Yuliu Su, Ying Xu, Costas Courcoubetis, and Shih-Fen ChengICSS 2021: AI and Analytics for Smart Cities and Service Systems pp 300–315 [Publication Link]

On the Heavy-tail Behavior of the Distributionally Robust Newsvendor2021, Bikramjit Das, Operations ResearchB. Das, A. Dhara and K. Natarajan69(4), 1077-1099 [Publication Link]

Growth of Common Friends in a Preferential Attachment Model2021, Bikramjit Das, Stochastic ModelsB. Das and S. Ghosh 37(3), 427-447 [Publication Link]

Worst-case Expected Shortfall with Univariate and Bivariate Marginals2021, Bikramjit Das, Informs Journal on ComputingA. Dhara, B. Das and K. Natarajan 33(1), 370-389 [Publication Link]

Data-driven Thinking for Measuring the Human Experience in the Built Environment2021, Francisco Benita, International Journal of Architectural ComputingB. Tunçer, F. Benita20 (2), 316-333 [Publication Link]

A Smart Learning Ecosystem Design for Delivering Data-driven Thinking in STEM Education2021, Francisco Benita, Smart Learning EnvironmentsF. Benita, D. Virupaksha, E. Wilhelm, B. Tunçer8, 1-20 [Publication Link]

Human Mobility Behavior in COVID-19: A Systematic Literature Review and Bibliometric Analysis2021, Francisco Benita, Sustainable Cities and SocietyF.Benita70, 102916 [Publication Link]

The Main Factors Influencing COVID-19 Spread and Deaths in Mexico: A Comparison Between Phases I and II2021, Francisco Benita, Applied GeographyF. Benita, F. Gasca-Sanchez134, 102523 [Publication Link]

INFORMS Annual Meeting TutORials Speaker2021, Karthyek Murthy 

Statistical Analysis of Wasserstein Distributionally Robust Estimators2021, Karthyek Murthy, INFORMS Tutorials in Operations ResearchJ. Blanchet, K. Murthy, V. A. Nguye227 - 254 [Publication Link]

Exploiting partial correlations in distributionally robust optimization2021, Karthyek Murthy, Mathematical ProgrammingD. Padmanabhan∗, K. Natarajan, K. Murthy186: 209-255 [Publication Link]

Determinantal Point Processes Based on Orthogonal Polynomials for Sampling Minibatches in SGD2021, Meixia Lin, Conference on Neural Information Processing Systems (NeurIPS)R. Bardenet, S. Ghosh, and M. Lin [Publication Link]