Vita

Contact Information

Diego Klabjan

2145 Sheridan Road, IEMS
Evanston, IL 60208

Northwestern University

Professor, Industrial Engineering and Management Sciences
Director, Master of Science in Machine Learning and Data Science
Director, Center for Deep Learning
Courtesy appointment, Engineering Systems and Applied Mathematics

Tel: 847-491-0663
Email: d-klabjan at northwestern dot edu
www.klabjan.dynresmanagement.com

Research Interests

Education

Work Experience

Awards & Recognition

• 2022 - Jack Meredith Best Paper Awards Honorable Mention, Journal of Operation Management
• 2019 - Pushing the Boundaries of the Possible, Intel's Outstanding Researcher Award
• 2017 - IEEE International Conference on Information Reuse and Integration, Best Student Paper (by Ph.D student Xiaofeng Zhu)
• 2015 - INFORMS Computing Society, Best Student Paper (by Ph.D student Young Woong Park)
• 2015 - APDIO/IO Award, Best Thesis in years 2013-2014 by Portuguese OR Society (by Ph.D. student Luis Guimaraes)
• 2015 - Isabel Themido Award, best paper in 2013-2014 by Portuguese OR Society (by Ph.D. student Luis Guimaraes)
• 2011 - Student Paper Contest, Railway Application Section of INFORMS, Second prize, Charlotte, NC (by post-doctoral student Conrado Borraz)
• 2006 - Best Student Paper, The 22nd International Conference on Data Engineering, Atlanta, GA (by graduate student Hector Gonzales)
• 2004 - Anna Valicek Medal Winner, AGIFORS, Singapore (by graduate student Rivi Sandhu)
• 2000 - First Prize Transportation Science Section Dissertation Prize, INFORMS, Washington DC
• 1994 - Preseren's Award for the Best Undergraduate Thesis, University of Ljubljana, Slovenia

1. Y. Ma, D. Klabjan and J. Utke. Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient. To appear in IEEE Transactions on Neural Networks and Learning Systems. 2025
2. J. Yang, D. Klabjan, H. Liu, N.S. Patel, X. Li, B. Ananthanarayanan, H. Dauod, T.H. Juang. Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling.  To appear in Engineering Applications of Artificial Intelligence. 2025
3. J. Jang, D. Klabjan, H. Liu, N.S. Patel, X. Li, B. Ananthanarayanan, H. Dauod, T-H Juang. Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints. To appear in Expert Systems with Applications. 2025
4. C. Kim, Y. Kim and D. Klabjan. Scale Invariant Power Iteration. To appear in Journal of Machine Learning Research. 2019
5. A. Cao, D. Klabjan, and Y. Luo. Open-Set Recognition of Breast Cancer Treatments. To appear in Artificial Intelligence in Medicine. 2022
6. Y. Ma and D. Klabjan, Diminishing Batch Normalization. To appear in IEEE Transactions on Neural Networks and Learning Systems. 2022
7. J. Koo, D. Klabjan and J. Utke. Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples. To appear in Expert Systems With Applications. 2020
8. Q. Gao, Z. Luo and D. Klabjan, Efficient Architecture Search for Continual Learning. To appear in  IEEE Transactions on Neural Networks and Learning Systems. 2022
9. P. Wongchaisuwat and D. Klabjan. Truth Validation with Evidence. To appear in Knowledge and Information Systems. 2022
10. N. Craig, N. DeHoratius and D. Klabjan, Execution Quality and Chargeback Penalties in Retail Supply Chains. To appear in Journal of Operations Management. 2020
11. Y.W. Park and D. Klabjan, Subset Selection for Multiple Linear Regression via Optimization. To appear in Journal of Global Optimization. 2020
12. J. Yang and D. Klabjan, Bayesian Active Learning for Choice Models with Deep Gaussian Processes. To appear in Transactions on Intelligent Transportation Systems. 2019
13. C. Kim and D. Klabjan, A Simple and Fast Algorithm for L1-norm Kernel PCA. To appear in Transactions on Pattern Analysis and Machine Intelligence. 2019
14. C. Borraz-Sanchez, D. Klabjan, and A. Uygur. An Approach for the Railway Multi-terrritory Dispatching Problem.To appear in Transportation Science. 2019
15. Y. Yang, S. Shebalov and D. Klabjan. Semi-supervised Learning for Discrete Choice Models. To appear in Transactions on Intelligent Transportation Systems. 2018
16. Y. Zeng and D. Klabjan. Online Adaptive Machine Learning Based Algorithm for Implied Volatility Surface Modeling. To appear in Knowledge-Based Systems. 2018
17. Y. Xue, Y. Luo and D. Klabjan. Predicting  ICU  readmission  using  grouped  physiological  and  medication  trends. To appear in Artificial Intelligence in Medicine. 2018
18. D. Klabjan, M. Di, L. Sha and P. Lucey. Large-scale Adversarial Sports Play Retrieval with Learning to Rank. To appear in ACM Transactions on Knowledge Discovery from Data. 2017
19. Y. Zeng and D. Klabjan. Portfolio Optimization of American Options. To appear in Journal of Computational Finance. 2017
20. Y.W. Park and D. Klabjan. Bayesian Network Learning via Topological Order. To appear in Journal of Machine Learning Research. 2017
21. Richards CT, Wang B, Markul E, Albarran F, Rottman D, Aggarwal NT, Lindeman P, Stein-Spencer L, Weber JM, Pearlman KS, Tataris KL, Holl JL, Klabjan D, Prabhakaran S. Identifying Key Words in 9-1-1 Calls for Stroke: A Mixed Methods Approach. To appear in Prehospital Emergency Care. 2017
22. F. Schneider, U. Thonemann, D. Klabjan. Optimization of Battery Charging and Purchasing at Electric Vehicle Battery Swap Stations. To appear in Transportation Science. 2017
23. C. Borraz-Sanchez, J. Ma, D. Klabjan, E. Pasalic, M. Aref. Algebraic Modeling in Datalog. In Declarative Logic Programming: Theory, Systems, and Applications. Editors: Michael Kifer and Yanhong A. Liu. Publisher: Association for Computing Machinery and Morgan & Claypool. 2017
24. D. Zhang and D. Klabjan. Optimization for Gate Re-assignment. To appear in Transportation Research Part B. 2016
25. J. Mays and D. Klabjan. Optimization of Time-Varying Electricity Rates. To appear in The Energy Journal. 2016
26. M. Dixon, D. Klabjan, and J.H. Bang. Classication-based Financial Markets Prediction using Deep Neural Networks. To appear in Journal of Algorithmic Finance. 2016
27. T. Sweda, I. Dolinskaya, and D. Klabjan. Adaptive Routing and Recharging Policies for Electric Vehicles. To appear in Transportation Science 2016. 2016
28. Y.W. Park, Y. Jiang, D. Klabjan, and L. Williams. Algorithms for Generalized Cluster-wise Linear Regression. To appear in INFORMS Journal on Computing. 2016
29. P. Wongchaisuwat, D. Klabjan and S. Jonnalagadda. A Semi-supervised Learning Approach to Enhance Health Care Community-based Question Answering: A case Study in Alcoholism. To appear in JMIR Medical Informatics 2016. 2016
30. Y-W. Park and D. Klabjan. An Aggregate and Iterative Disaggregate Algorithm with Proven Optimality in Machine Learning. To appear in Machine Learning. 2016
31. Seth, D. Klabjan and P. Ferreira, A Novel Local Search Integer-Programming-Based Heuristic for PCB Assembly on Collect-and-Place Machines. To appear in Mathematical Programming Computation. 2015
32. N. Craig, J. Yan, N. DiHoratius and D. Klabjan.  An Analysis of Fulfillment Errors in a Retail Distribution Center. To appear in Journal of Operations Management 2015. 2015
33. T. Sweda, I. Dolinskaya, and D. Klabjan. Adaptive Routing and Recharging Policies for Electric Vehicles. To appear in Transportation Science. 2015
34. C. Pun, D. Klabjan, F. Karaesmen, S. Shebalov. Itinerary-Based Nesting Control with Upsell. To appear in Journal of Revenue and Pricing Management. 2015
35. S. Shebalov, Y. W. Park, and D. Klabjan. Lifting for Mixed Integer Programs with Variable Upper Bounds. Discrete Applied Mathematics Volume 186, pp 226-250. 2015
36.  Y. Zeng, D. Klabjan, and J. Arinez. Distributed Solar Renewable Generation: Option Contracts with Renewable Energy Credit Uncertainty. To appear in Energy Economics. 2014
37. C. Kim, D. Klabjan, D Simchi-Levi. Optimal expediting policies for an inventory system with expiry. To appear in Production and Operations Management. 2015
38. A. Lavin, D. Klabjan . Clustering Time-Series Energy Data from Smart Meters. To appear in Energy Efficiency. 2014
39. L. Guimaraes, D. Klabjan and B. Almada-Lobo, Modeling lotsizing and scheduling problems with sequence dependent setups. European Journal of Operational Research 239 644-662. 2014
40. C. Almeder, D. Klabjan, and B. Almada-Lobo. Lead Time Considerations for the Multi-Level Capacitated Lot-sizing Problem. To appear in European Journal of Operational Research. 2011
41. Y-W Park and D. Klabjan. Lot Sizing with Minimum Order Quantity. To appear in Discrete Applied Mathematics. 2013
42. D. Klabjan, W. Olszewski, and A. Wolinsky. Attributes. To appear in Games and Economic Behavior. 2014
43. A. Drachen, J. Riley, S. Baskin,  D. Klabjan. Going Out of Business: Auction House Behavior in the Massively Multi-Player Online Game Glitch.To appear in Entertainment Computing. 2014
44. N. Halman, D. Klabjan, C-L. Li, J. Orlin and D. Simchi-Levi. Fully Polynomial Time Approximation Schemes for Convex and Monotone Stochastic Dynamic Programming. To appear in SIAM Journal on Discrete Mathematics. 2014
45. T. Sweda and D. Klabjan. An Agent-Based Information System for Electric Vehicle Charging Infrastructure Deployment, To appear in ASCE Journal of Infrastructure Systems. 2014
46. A. Wald, M. Harmon and D. Klabjan. Structural Deplaning via Simulation and Optimization. To appear in Journal of Air Transport Management. 2013
47. D. Wang, S. Shebalov, D. Klabjan.  Attractiveness-Based Airline Network Models with Embedded Spill and Recapture. To appear in Journal of Airline and Airport Management. 2013
48. P. Pei, D. Klabjan. Approximations to Auctions of Digital Goods with Share-averse Bidders, To appear in Electronic Commerce Research and Applications. 2012
49. L. Guimaraes, B. Klabjan, B. Almada-Lobo. Pricing, Relaxing and Fixing under Lotsizing and Scheduling, European Journal of Operational Research 230 399-411. 2013
50. D. Klabjan and C. Borraz, Optimal Placement of Reconfigurable Optical Add/Drop Multiplexers with Packing, Blocking, and Signal Loss, Computer Networks 57 1443-1458. 2013
51. F. Schneider and D. Klabjan, Inventory Control in Multi-channel Retail, European Journal of Operational Research 227 101-111. 2013
52. M. Song, D. Klabjan, D. Simchi-Levi, Robust Stochastic Lot-sizing by Means of Histograms, Production and Operations Management 22 691-710. 2013
53. J. Ahn, O. de Weck, Y. Gang and D. Klabjan, The Generalized Location Routing Problem with Profits, European Journal of Operational Research 223 47-59. 2012
54. Seth, D. Klabjan and P. Ferreira. Analyses of Advanced Iterated Tour Partitioning Heuristics for Generalized Vehicle Routing Problems. To appear in Networks. 2012
55. L. Guimaraes, D. Klabjan, B. Almada-Lobo, Annual Production Budget in the Beverage Industry. International Scientific Journal Engineering Applications of Artificial Intelligence 25 229-241. 2012
56. P. Bless, D. Klabjan, and S. Chang , Automated Knowledge Source Selection and Service Composition. Computational Optimization and Applications 52 507-535. 2012
57. Y. Zhao and D. Klabjan, A Polyhedral Study of Lot-sizing with Supplier Selection. Discrete Optimization 9 65-76. 2012
58. D. Adelman and D. Klabjan, Computing Near Optimal Policies in General Joint Replenishment. INFORMS Journal on Computing 24 148-164. 2012
59. M. Sohoni, Y-C. Lee, D. Klabjan, Block Time Estimation and Robust Airline Scheduling. Transportation Science 45 451-464. 2011
60. D. Klabjan and J. Pei, In-store One-to-one Marketing. Journal of Retailing and Consumer Services 18 64-73. 2011
61. S. Chang, D. Klabjan, and T. Vossen, Optimal Radio Frequency Identification Deployment in a Supply Chain Network. International Journal of Production Economics 125 71-83. 2010
62. L. Schenk and D. Klabjan, Intra Market Optimization for Express Package Carriers with Station to Station Travel and Proportional Sorting. Computers & Operations Research 37 1749-1761. 2010
63. J. Pei and D. Klabjan, Inventory Control in Serial Systems under Radio Frequency Identification. International Journal of Production Economics 123 118-136. 2010
64. S. Choo, D. Klabjan and D. Simchi-Levi, Multi-ship Crane Sequencing with Yard Congestion Constraints. Transportation Science 44 98-115. 2010
65. H. Gonzalez, J. Han, H. Cheng, X. Li, D. Klabjan and T. Wu, Modeling Massive RFID Datasets: A Gateway-Based Movement-Graph Approach. IEEE Transactions on Knowledge and Data Engineering 22 90-104. 2010
66. B. Almada-Lobo, D.  Klabjan, M.A. Carravilla and J.F. Oliveira, Multiple Machine Multi-Item Continuous Setup Lotsizing with Sequence-dependent Setups. Computational Optimization and Applications 47 529-552. 2010
67. L. Schenk and D. Klabjan, Intra Market Optimization for Express Package Carriers. Transportation Science 42 530-545. 2008
68. N. Halman, D. Klabjan, M. Mostagir, J. Orlin,  D. Simchi-Levi, A Fully Polynomial Time Approximation Scheme for Single-Item Stochastic Inventory Control Problems with Discrete Demand. Mathematics of Operations Research 34 674-685. 2009
69. D. Klabjan, Subadditive Approaches in Integer Programming. European Journal of Operational Research 183 525-545. 2007
70. B. Almada-Lobo, D.  Klabjan, M.A. Carravilla, J.F. Oliveira, Single Machine Capacitated Lotsizing Problem with Sequence-dependent Setup Costs and Times. International Journal of Production Research 45 4873-4894. 2007
71. J. Han, H. Gonzales, X. Li, and D. Klabjan, Warehousing and Mining Massive RFID Data Sets, Lecture Notes in Computer Science 4093 1-18. 2006
72. D. Klabjan and D. Adelman, A Convergent Infinite Dimensional Linear Programming Algorithm for Deterministic Semi-Markov Decision Processes on Borel Spaces. Mathematics of Operations Research 32 528-550. 2007
73. P. Bless, D. Klabjan, and S. Chang, Heuristics for Automated Knowledge Source Selection and Service Composition. Computers and Operations Research 35 1292-1314. 2008
74. R. Sandhu and D. Klabjan, Fleeting with Passenger and Cargo Origin-Destination Booking Control. Transportation Science 40 517-528. 2006
75. R. Sandhu and D. Klabjan, Integrated Airline Fleeting and Crew Pairing Decisions. Operations Research 55 430-438. 2007
76. D. Klabjan and D. Adelman, Existence of Optimal Policies for Semi-Markov Decision Processes Using Duality for Infinite Linear Programming, SIAM Journal on Control and Optimization 44 2104-2122. 2006
77. S. Shebalov and D. Klabjan, Robust Airline Crew Pairing: Move-up Crews, Transportation Science 40 300-312. 2006
78. S. Shebalov and D. Klabjan, Sequence Independent Lifting for Mixed Integer Programs with Variable Upper Bounds. Mathematical Programming 105 523-561. 2006
79. P.N. Bless, S.G. Kapoor, R.E. DeVor, and D. Klabjan, An Algorithmic Strategy for Automated Development of Multi-component Software Tools for Virtual Manufacturing. Journal of Manufacturing Science and Engineering 127 866-874. 2005
80. D. Adelman and D. Klabjan, Existence of Optimal Policies and Duality in Generalized Joint Replenishment. Mathematics of Operations Research 30 28-50. 2005
81. D. Klabjan, A Practical Algorithm for Computing the Subadditive Dual Function for Set Partitioning, Computational Optimization and Applications 29 347-368. 2004
82. A. Makri and D. Klabjan, Algorithms for Source-to-all Maximum Cost to Time Ratio Problem in Acyclic Networks. Networks 42 1-14. 2003
83. D. Klabjan, E.L. Johnson, and G.L. Nemhauser, Airline Crew Scheduling with Time Windows and Plane Count Constraints, Transportation Science 36 337-348. 2002
84. D. Klabjan and G.L. Nemhauser, A Polyhedral Study of  Integer Variable Upper Bounds. Mathematics of Operations Research 27 711-739. 2002
85. A. Arora and D. Klabjan, A Model for Budget Allocation in Multi-unit Libraries. Library Collections, Acquisitions, and Technical Services 26 423-438. 2002
86. A. Makri and D.Klabjan, A New Pricing Scheme for Airline Crew Scheduling, INFORMS Journal on Computing 16 56-67. 2004
87. D. Klabjan, E.L. Johnson, and G.L. Nemhauser, Solving Large Airline Crew Scheduling Problems: Random Pairing Generation and Strong Branching, Computational Optimization and Applications 20 73-91. 2001
88. D. Klabjan, E.L. Johnson, and G.L. Nemhauser, Airline Crew Scheduling with Regularity, Transportation Science 35 359-374. 2001
89. D. Klabjan, E.L. Johnson, and G.L. Nemhauser, A Parallel Primal-Dual Simplex Algorithm, Operations Research Letters 27 47-55. 2000
90. D. Klabjan and B. Mohar, The Number of Matchings of Low Order in Hexagonal Systems, Discrete Mathematics 186 167-175. 1998
91. D. Klabjan, C. Tovey, and G.L. Nemhauser, Cover Inequality Separation is NP-hard, Operations Research Letters 23 35-40. 1998

Chapters in Books

• D. Conway and D. Klabjan. Innovation Patterns and Big Data, Forthcoming in Big Data and Business Analytics, Taylor and Francis. Editor J. Liebowitz. 2012
• Y. Jiang, D. Klabjan, L. Williams. Analytics in Retail. Encyclopedia in Operations Research and Management Sciences, Wiley & Sons. 2010
• T. Sweda and D. Klabjan. The Nascent Industry of Electric Vehicles. Encyclopedia in Operations Research and Management Sciences, Wiley & Sons. 2010
• Y-C. Lee, D. Klabjan, G. Stojkovic. Crew Management Information Systems. In B. Smith and C. Barnhart, editors, Quantitative Problem Solving Methods in the Airline Industry: A Modeling Methodology, Springer Verlag. 2009
• C. Taylor, D. Klabjan, and H. Mamani. Advanced Optimization for Interplanetary Logistics. In O. de-Weck and B. Shisko, editors, Interplanetary Supply Chain Management and Logistics Architecture. 2008
• C. Barnhart, A. Cohn, E.L. Johnson, D. Klabjan. G.L. Nemhauser, and P.Vance. Airline Crew Scheduling. In Hall, R.W., editor, Handbook in Transportation Science, Kluwer Scientific Publishers. 2002
• D. Klabjan. Large-scale Models in the Airline Industry. In G. Desaulniers, J. Desrosiers, M.M. Solomon,editors, Column Generation,Kluwer Academic Publishers. 2005
• D. Klabjan. Radio Frequency Identification Enabled Business Applications in Supply Chain Management. In T. Blecker  and G. Huang, editors, RFID in Operations and Supply Chain Management: Research and Applications, Erich Schmidt Verlag. 2007

Peer-Reviewed Conference Proceedings

1. H. Li, M. Fedeli, V. Kolar and D. Klabjan. BEAR: BGP Event Analysis and Reporting. 35th International Conference on Computer Communications and Networks, Honolulu, HI. 2026
2. J. A. Nguyen and D. Klabjan. FedGA-Tree: Federated Decision Tree using Genetic Algorithm. The Genetic and Evolutionary Computation Conference (GECCO), San Jose, Costa Rica. 2026
3. M. Xu and D. Klabjan. Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit. AISTATS, Tangler, Marocco. 2026
4. Y. Zou, D. Klabjan, J. Utke, and H. Liu. PromptFE: Automated Feature Engineering by Prompting. 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Rabat, Marocco. 2026
5. B. Fang, J. Utke, T. Vo and D. Klabjan. Tricks and Plugins to GBM on Images and Sequences. IEEE International Conference on Big Data, Macau, China. 2025
6. Z. Zhang, D. Klabjan, and R. Manworren. DiffMVR: Diffusion-based Automated Multi-Guidance Video Restoration. IEEE International Conference on Big Data, Macau, China. 2025
7. Z. Zhang and D. Klabjan. Unit Testing for Random Forest Models. IEEE International Conference on Big Data, Macau, China. 2025
8. Y. Hong and D. Klabjan. Graph Learning for Foreign Exchange Rate Prediction and Statistical Arbitrage. ACM International Conference on AI in Finance. Singapore. 2025
9. Y. Zou, H. Liu, D. Klabjan. Investigating Hallucinations in Time Series Foundation Models through Signal Subspace Analysis. NeurIPS. San Diego, CA. 2025
10. S. Mu and D. Klabjan, Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions. NeurIPS. San Diego, CA. 2025
11. T. Joo and D. Klabjan, Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context. NeurIPS. San Diego, CA. 2025
12. S. Wang, S. Moazeni, and D. Klabjan, A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models. EMNLP, Suzhou. 2025
13. H. Li , Kiran S. Jyothi , H. Hu , Y. Chen, H. Liang, S. Mahadevan and D. Klabjan. Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs. EMNLP, Suzhou. 2025
14. H. Li and D. Klabjan, Reverse Prompt Engineering. EMNLP, Suzhou. 2025
15. A. Trevino Gavito, D. Klabjan, and S. Shah. Unsupervised Echocardiogram View Detection via Autoencoder-based Representation Learning.  International Conference on Deep Learning and Machine Learning in Ultrasound Imaging, Amsterdam, The Netherlands. 2025
16. S. Wang and D. Klabjan. A Mirror Descent Perspective of Smoothed Sign Descent. Uncertainty in AI, Rio de Janeiro, Brazil. 2025
17. A.V. Nguyen, D. Klabjan, M. Ryu, K. Kim, and Z. Di, Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction. International Joint Conference on Neural Networks, Roma, Italy. 2025
18. A. Sandler, D. Klabjan and Y. Luo. Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis. IEEE Conference on Artificial Intelligence, Santa Clara, CA. 2025
19. M. Xu and D.Klabjan. Regret Lower Bounds in Multi-agent Multi-armed Bandit. AISTATS. Thailand. 2025
20. Z. Su and D. Klabjan. Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization. AISTATS. Thailand. 2025
21. T. Joo and D. Klabjan. Improving Self-training under Distribution Shifts via Anchored Confidence with Theoretical Guarantees. NeurIPS. Vancouver, BC, Canada. 2024
22. B. Fang, T. Vo and D. Klabjan. A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations. IEEE International Conference on Big Data.Washington DC. 2024
23. C. Kim, Y, Kim, D. Klabjan, and Y. Jambunath. Stochastic Scale Invariant Power Iteration for Kullback-Leibler Divergence Nonnegative Matrix Factorization. IEEE International Conference on Big Data.Washington DC. 2024
24. Y. Xue, D. Klabjan and J. Utke. Multimodal Learning on Temporal Data. IEEE International Conference on Big Data.Washington DC. 2024
25. H. Li, D.Klabjan, and J.Utke. Unsupervised Video Summarization. 17th Asian Conference on Computer Vision. Hanoi, Vietnam. 2024
26. Y. Xue, D. Klabjan and J.Utke. S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture. International Conference on Machine Learning and Applications. Coral Gabels, 2024. 2024
27. A. Trevino, J. Utke and D. Klabjan. Multi-Layer Attention-Based Explainability via Transformers for Tabular Data. International Conference on Machine Learning and Applications. Coral Gabels, 2024. 2024
28. T. Overman, D. Klabjan, and J. Utke. IIFE: Interaction Information Based Automated Feature Engineering. International Conference on Data Mining. Abu Dhabi. 2024
29. H. Wu and D. Klabjan. Robust Softmax Aggregation on Blockchain based Federated Learning with Convergence Guarantee. IEEE Coins. London, UK. 2024
30. S. Mu and D. Klabjan. On the Second-Order Convergence of Biased Policy Gradient Algorithms.  ICML,Vienna, Austria. 2024
31. T. Joo and D. Klabjan. IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation. ICML,Vienna, Austria. 2024
32. S. Wang and D. Klabjan. An Ensemble Method of Deep Reinforcement Learning for Automated Cryptocurrency Trading. IEEE International Conference on Blockchain and Cryptocurrency,Dublin, Ireland. 2024
33. G. Blum, R. Doris, D. Klabjan, H. Espinosa and R. Szalkowski. Use of Deep Neural Networks for Uncertain Stress Functions with Extensions to Impact Mechanics. To appear in IEEE's 9th International Conference on Big Data Analytics, Tokyo, Japan. 2023
34. T. Overman, G. Blum and D. Klabjan. A Primal-Dual Algorithm for Hybrid Federated Learning. AAAI, Vancouver, Canada. 2024
35. Y. Ma and D. Klabjan. Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm. IEEE International Conference on Big Data,Sorrento, Italy. 2023
36. S. Lim, D. Klabjan and M. Shapiro. Feature Acquisition Using Monte Carlo Tree Search. IEEE International Conference on Big Data,Sorrento, Italy. 2023
37. S. Ger, Y. Jambunath and D. Klabjan. Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences IEEE International Conference on Big Data,Sorrento, Italy. 2023
38. S. Ger, Y. Jambunath, D. Klabjan, J. Utke. Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types. IEEE International Conference on Big Data,Sorrento, Italy. 2023
39. M. Xu and D.Klabjan. Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards. NeurIPS. New Orleans. 2023
40. A. Cao, J. Utke and D. Klabjan. Early Classifying Multimodal Sequences. 25th ACM International Conference on Multimodal Interaction. Paris, France. 2023
41. A. Cao, J. Utke and D. Klabjan. A Policy for Early Sequence Classification. 32nd International Conference on Artificial Neural Networks. Crete, Greece. 2023
42. A. Trevino-Gavito, D. Klabjan, and J.Utke. Gradient-boosted Based Structured and Unstructured Learning. 32nd International Conference on Artificial Neural Networks. Crete, Greece. 2023
43. M. Xu and D. Klabjan. Pareto Regret Analyses in Multi-objective Multi-armed Bandit. International Conference on Machine Learning, Honolulu, HI. 2023
44. G. Ebrahimi and D. Klabjan. Neuron-based pruning of deep neural networks with better generalization using Kronecker factored curvature approximation. International Joint Conference on Neural Networks, Queensland, Australia. 2023
45. X. Qian, M. Kennedy and D. Klabjan. Dynamic Cell Structure via Recursive-Recurrent Neural Networks. IEEE International Conference on Big Data,Osaka, Japan. Virtual due to Covid-19. 2022
46. Y. Xu and D. Klabjan. Open Set Domain Adaptation by Extreme Value Theory. IEEE International Conference on Big Data,Osaka, Japan. Virtual due to Covid-19. 2022
47. Y. Xue, D. Klabjan, and Y. Luo. Aggregation Delayed Federated Learning. IEEE International Conference on Big Data,Osaka, Japan Virtual due to Covid-19. 2022
48. C. Ke, H. Deng, C. Xu, J. Li, X. Gu, B. Yadamsuren, D. Klabjan, R. Sifa, A. Drachen and S. Demediuk. DOTA 2 match prediction through deep learning team fight models. IEEE Conference on Games, Beijing, China, Virtual due to Covid-19. 2022
49. A. Ebrahimi, A. Stec, D. Klabjan, and J. Utke. Nested Multi-Instance Image Classification. International Conference on Pattern Recognition. Montreal. 2022
50. D. Klabjan and X. Zhu. Neural Network Retraining for Model Serving. IEEE International Conference on Big Data, Virtual due to Covid-19. 2021
51. H. Wu and D. Klabjan, Logit-based Uncertainty Measure in Classification. IEEE International Conference on Big Data, Virtual due to Covid-19. 2021
52. X. Wang, L. Zhang and D. Klabjan. Keyword-based Topic Modeling and Keyword Selection. IEEE International Conference on Big Data, Virtual due to Covid-19. 2021
53. Y. Xu and D. Klabjan. Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels. IEEE International Conference on Big Data, Virtual due to Covid-19. 2021
54. S. Ger, D. Klabjan, and J. Utke. Classification Models for Partially Ordered Sequences. International Conference on Artificial Neural Networks,Virtual due to Covid-19. 2021
55. N. Byanna, G. Ebrahimi and D. Klabjan. Evaluating the Performance of Offensive Linemen in the NFL. ICMLDMSA: 15. International Conference on Machine Learning and Data Mining for Sports Analytics, Virtual due to Covid-19. 2021
56. G. Ebrahimi, C. Ge, D. Klabjan, D. Ladner, and P. Stride. Cirrhosis Mortality Prediction as Classification. 15th International Conference on Health Information Systems and Clinical Decision, Virtual due to Covid-19. 2021
57. X. Qian and D. Klabjan. A Probabilistic Approach to Neural Network Pruning. International Conference on Machine Learning, Virtual due to Covid-19. 2021
58. Y. Xu and D. Klabjan. k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks. International Joint Conferences on Artificial Intelligence (IJCAI),Virtual due to Covid-19. 2021
59. G. Ebrahimi, B. Wang and D. Klabjan. Generative Adversarial Nets for Multiple Text Corpora. International Joint Conference on Neural Network (IJCNN), Virtual due to Covid-19. 2021
60. G. Ebrahimi, L. Zhang and D. Klabjan. Layer Flexible Adaptive Computational Time for Recurrent Neural Networks. International Joint Conference on Neural Network (IJCNN), Virtual due to Covid-19. 2021
61. M. Harmon, A. Ebrahimi, D. Klabjan, and P. Lucey. Predicting Shot Making in Basketball using Convolutional Neural Networks Learnt from Adversarial Multiagent Trajectories. International Conference on Computer Science in Sport and Exercise, Istanbul, Turkey. 2021
62. A. Cao, Y. Luo and D. Klabjan. Open-Set Recognition with Gaussian Mixture Variational Autoencoders. AAAI, Virtual due to Covid-19. 2020
63. J. Koo, D. Klabjan, and J. Utke. Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images. IEEE International Conference on Big Data, Virtual due to Covid-19. 2019
64. M. Harmon and D. Klabjan. Dynamic Prediction Length for Time Series with Sequence to Sequence Network. ACM International Conference on AI in Finance, New York, NY. 2020
65. J. Koo and D. Klabjan. Improved classification based on Deep Belief Networks (submitted for publication. 29th International Conference on Artificial Neural Networks (ICANN), Bratislava, Slovakia. 2020
66. Y. Xu, D. Rajpathak, I. Gibbs, D. Klabjan. Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data. 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KMIS), Budapest, Hungary. 2020
67. C. Kim and D. Klabjan. Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes. AISTATS, Palermo, Italy. 2020
68. R. Sifa, M. Fedell, N. Franklin, D. Klabjan, S. Ram, A. Venugopal, S. Demediuk, and A. Drachen . Retention Prediction in Sandbox Games with Bipartite Tensor Factorization. Computing Conference, London, UK. 2020
69. M. Harmon and D. Klabjan. Activation Ensembles for Deep Neural Networks. IEEE International Conference on Big Data, Los Angeles, CA. 2019
70. Y. Xue, D. Klabjan, and Y. Luo. Mixture-based Multiple Imputation Models for Clinical Data with a Temporal Dimension. IEEE International Conference on Big Data, Los Angeles, CA. 2019
71. X. Zhu and D. Klabjan. Listwise Learning to Rank by Exploring Unique Ratings. The 13th ACM International Conference on Web Search and Data Mining (WSDM), Houston, TX. 2020
72. S. Demediuk, R. Joshi, Z. Wang, V. Gupta, X. Li, Y. Cui, D. Klabjan, A. Parsaeian, A. Drachen. A Team Based Player Versus Player Recommender Systems Framework for Player Improvement. Australasian Computer Science Week, Sydney, Australia 2019. Best paper award. 2019
73. X. Teng, A. Zufle, G. Trajcevski, and  D. Klabjan. Location-Awareness in Time Series Compression. 22nd European Conference on Advances in Databases and Information Systems, Budapest, Hungary. 2018
74. E. M. Rantanen, L. Hochberg, D. Ming, D., and D. Klabjan. Decluttering Geographic Data View Displays. Proceedings of the Human Factors and Ergonomics Society 2018 Annual Meeting, Philadelphia, PA. 2018
75. X. Wang and D. Klabjan. Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations. ICML, Stockholm, Sweden. 2018
76. A. Drachen, E. Pawlakos, K. Zhai, S. Haran, R. Jha, R. Sifa, and D. Klabjan, Controlling the Crucible: A Novel PvP Recommender Systems Framework for Destiny. Australasian Computer Science Week, Brisbane, Australia. 2018
77. A. Drachen, J. Runge, R. Sifa, M. Pastor, A. Liu, D. J. Fontaine, Y. Chang, and D. Klabjan . To Be or Not to Be Social: Incorporating Simple Social Features in Mobile Game Customer Lifetime Value Predictions. Australasian Computer Science Week, Brisbane, Australia. 2018
78. C. Qin, D. Russo, and D. Klabjan , Improving the Expected Improvement Algorithm. NIPS, Long Beach, CA. 2017
79. X. Zhu, D. Klabjan, and P. Bless .  Semantic Document Distance Measures and Unsupervised Document Revision Detection. International Joint Conference on Natural Language Processing,Taipei, Taiwan. 2017
80. P. Wognchaisuwat, D. Klabjan, and J. McGinnis . Predicting Litigation Likelihood and Time to Litigate for Patents The 16th International Conference on Artificial Intelligence and Law, London, UK. 2017
81. B. Wang and D. Klabjan . Regularization for Unsupervised Deep Neural Nets. AAIA, San Francisco, CA. 2017
82. Y. Park, D. Klabjan . Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis, IEEE International Conference on Data Mining, Barcelona, Spain. 2014
83. A. Drachen, E. Lundquist, Y. Kung, P. Rao, D. Klabjan, R. Sifa, and J. Runge . Rapid Prediction of Player Retention in Free-to-Play Mobile Games. The Twelfth Annual AAAI Conference of Artificial Intelligence and Interactive Digital Entertainment, San Francisco, CA. 2016
84. A. Drachen, J. Green, C. Gray, E. Harik, P. Lu, R. Sifa, and D. Klabjan . Guns and Guardians: Comparative Cluster Analysis and Behavioral Profiling in Destiny. IEEE Computational Intelligence and Games Conference, Santorini, Greece. 2016
85. T. Jeong, D. Klabjan, and J. Starren . Predictive Analytics Using Smartphone Sensors for Depressive Episodes. HIAI, Expanding the Boundaries of Health Informatics using AI, Phoenix, AZ. 2016
86. B. Wang and D. Klabjan. Time-Dependent Topic Analysis with Endogenous and Exogenous Processes. AAAI Phoenix, AX. 2015
87. M. Dixon, D. Klabjan, and J.H. Bang. Implementing Deep Neural Networks for Financial Market Prediction on the Intel Xeon Phi. Supercomputing, Austin, TX. 2015
88. A. Drachen, D. Klabjan, M. Yancey, D. Chu, J. Maguire, Y. Wang. Skill-Based Differences in Spatio-Temporal Team Behavior in Defense of the Ancients 2. 6th IEEE Consumer Electronics Society Games, Entertainment, Media Conference, Toronto. 2014
89. E. Ko, D. Klabjan.  Semantic Properties of Customer Sentiment in Tweets. The 28th IEEE International Conference on Advanced Information Networking and Applications. Victoria, Canada. 2014
90. O. Worley and D. Klabjan. "Simultaneous Vehicle Routing and Charging Station Siting for Commercial Electric Vehicles", IEEE International Electric Vehicle Conference, Greenville, NC. 2012
91. T. Sweda and D. Klabjan. "Finding Minimum-Cost Paths for Electric Vehicles", IEEE International Electric Vehicle Conference, Greenville, NC. 2012
92. T. Sweda and D. Klabjan. "An Agent-Based Decision Support System for Electric Vehicle Charging Infrastructure Deployment," 7th IEEE Vehicle Power and Propulsion Conference, Chicago, Illinois. 2011
93. O. Worley and D. Klabjan. "Optimization of Battery Charging and Purchasing at Electric Vehicle Battery Swap Stations," 7th IEEE Vehicle Power and Propulsion Conference, Chicago, Illinois. 2011
94. S. Ruangpattana, D. Klabjan, J. Arinez, and S. Biller. "Optimization of On-site Renewable Energy Generation for Industrial Sites," Proceedings of IEEE Power Systems 2011, Phoenix, AZ. 2011
95. C. Cheng, C. Chekuri, and D. Klabjan. "Topology Formation for Wireless Mesh Network Planning," Proceedings of IEEE Infocom 2009 Mini-conference, Rio de Janeiro, Brazil. 2009
96. N. Halman, D. Klabjan, C-L. Li, J. Orlin, and D. Simchi-Levi. "Fully Polynomial Time Approximation Schemes for Stochastic Dynamic Programs," Proceedings of ACM-SIAM Symposium on Discrete Algorithms, San Francisco, CA. 2008
97. J. Han, H. Gonzalez, X. Li, and Diego Klabjan. "Warehousing and Mining Massive RFID Data Sets," Proceedings of the International Conference on Advanced Data Mining and Applications, Xi'An, China. 2006
98. H. Gonzales, J. Han, X. Li, and D. Klabjan. "Warehousing and Analyzing Massive RFID Data Sets,"  Proceedings of the 22nd International Conference on Data Engineering, Atlanta, GA. 2006
99. D. Klabjan. "A New Subadditive Approach to Integer Programming: Theory and Algorithms," Proceedings of the 9th Integer Programming and Combinatorial Optimization Conference, 384-400. 2002
100. D. Klabjan and K. Schwan. "Airline Crew Pairing Generation in Parallel," Proceedings of the 10th SIAM Conference on Parallel Processing for Scientific Computing. 2001

Patents

• Patent No. 10,467,556, inventor Diego Klabjan, Information systems and methods for deployment of charging infrastructure in support of electric vehicles

Magazine Publications

• M. Blackburn, J. Alexander, J. David Legan and D. Klabjan, Big Data and the Future of R&D Management, Research-Technology Management, 60. number 5. 2017
• C. Taylor, M. Song, D. Klabjan, O. de Weck, D. Simchi-Levi, A Mathematical Model for Interplanetary Logistics, Logistics Spectrum 41. Issue 1, January-March, pages 23-33. 2007
• D. Klabjan, R. Joshi, Harvesting Smart Grid Benefits, M2M. September-October, page 40. 2009

Academic Invited Lectures 

• Umess, Amherst (2025)
• IIT Madras, Chennai, India (2024)
• Southwest Jiaotong University, School of AI and Computing, China (2022)
• Sharif University, Industrial Engineering (2022)
• University of Ljubljana, Department of Mathematics (2019)
• University of Illinois Chicago, School of Business (2018)
• University of Texas, Austin, McCombs School of Business (2018)
• University of North Carolina, Kenan-Flagler School of Business (2016)
• University of South Florida, Industrial Engineering (2015)
• London Imperial College, School of Computing (2014)
• Hong Kong University, Department of Industrial Engineering (2014)
• Carnegie Mellon University, Tepper School of Business (2014)
• University of Chicago, Booth School of Business (2011)
• Illinois Institute of Technology, Applied Mathematics (2009)
• University of Colorado, Boulder, School of Business (2008)
• Texas A&M, Industrial and Systems Engineering (2008)
• Northwestern University, Kellogg School of Management (2008)
• Fields Institute, McMaster University (2007)
• Ohio State University, Integrated Systems Engineering (2007)
• University of Wisconsin, Industrial Engineering (2007)
• MIT, OR Center Seminar Series (2006)
• University of Illinois at Urbana-Champaign, Department of Aerospace Engineering (2006)
• Cornell University, Operations Research (2006)
• Stanford, Management Science and Engineering (2004)
• Princeton University, Operations Research (2004)
• University of Michigan, Industrial and Operations Engineering (2003)
• University of California, Berkeley, Civil and Environmental Engineering Seminar Series (2002)
• MIT, OR Center Seminar Series (2001)
• SUNY Buffalo, Industrial Engineering (2000)
• University of Chicago, Graduate School of Business (2000)
• Georgia Institute of Technology, Industrial and System Engineering (2000)

Corporate Invited Lectures

• Cisco, April 2024.
• Tiger Analytics, January 2024.
• Zebra, December 2023.
• Ford, March 2019.
• General Motors, August 2016.
• McDonalds, August 2016.
• Schneider, July 2015.
• Alcatel-Lucent, January, 2013.
• Amadeus, Nice, France, January 2013.
• NASA Langley, October 2012.
• FHWA, Freight & Carbon Footprint: Efforts to Enhance Supply Chain Sustainability, September 2010.
• Ford, R&D (2010)
• United Airlines, Enterprise Optimization (2008)
• Sabre Holdings, The Research Group (2007)
• O'Hare Airport, O'Hare Modernization Program (2007)
• Sears Holdings, Panelist of experts on Logistics Business Practices for Home Delivery (2007)
• FedEx Express, R&D (2006)
• RiverGlass Inc., R&D (2005)
• Motorola, R&D (2005)
• Caleb Technologies Corp., R&D (2004)
• SBS International, R&D (2003)
• American Airlines, Operations Research (2003)

Ph.D. Students

1. 3 or 4 new every year
2. Ziwei Su 2026 (Amazon)
3. Taejong Joo 2026 (Google)
4. Adam Sandler 2026 (Discover)
5. Hanqing Li 2025 (Meta)
6. Julie Anh Nguyen 2025 (Meta)
7. Tom Overman 2025 (Epsilon)
8. Huiyu Wu 2025 (Amazon)
9. Shuyang Wang 2024 (Goldman Sacks)
10. Mengfan Xu 2024 (University of Massachusetts Armherst)
11. Xin Qian 2022 (Meta)
12. Alex Cao 2023 (United Airlines)
13. Ghani Ebrahimi 2022 (Wells Fargo)
14. Xiaoyi Liu 2022 (Meta)
15. Biyi Fang 2020 (Walmart.com)
16. Yiming Xu 2021 (Facebook)
17. Andrea Trevino-Gavito 2024 (Microsoft)
18. Stephanie Ger 2021 (Apple)
19. Yintai Ma 2024 (Citadel)
20. Ye Xue 2022 (Meta)
21. Cheolmin Kim 2020 (Google)
22. Jaehoon Koo 2020 (Argonne National Lab)
23. Xiaofeng Zhu 2020 (Microsoft)
24. Alexander Stec 2018 (Allstate)
25. Mark Harmon 2018 (Sloan Kettering Cancer Center)
26. Papis Wongchaisuwat 2017 (Kalasin Univesity)
27. Baiyang Wang 2017 (General Motors)
28. Jie Yang 2017 (Staples)
29. Yaxiong Zeng 2016 (Guggenheim Partners)
30. Mingyang Di 2016 (American Express)
31. Young-Woong Park 2014 (Southern Methodist University)
32. Timothy Sweda 2014 (Schneider)
33. Yue Gang 2013 (Discover Financials)
34. Jinxiang Pei 2012 (Krafts)
35. Chan Seng Pun 2012 (Saber Holdings)
36. Yan Jiang 2012 (Sears)
37. Anupam Seth 2009 (Yahoo!)
38. Chiwon Kim 2008 (Accenture)
39. Patrick Bless 2006 (Intel)
40. Sergey Shebalov 2004 (Sabre Holdings)