Faculty

Institution

Unit

Venue

Diego Klabjan

Professor

Northwestern University

Affiliations

Mccormick School of Engineering & Applied Science

Department of Industrial Engineering and Management Sciences

Diego Klabjan is currently serving as an Industrial Engineering And Management Sciences Professor at Northwestern University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Diego Klabjan

Northwestern University

Professor

You can click a keyword to filter the displayed items

machine learning computer science data science applied mathematics systems engineering operations research logistics artificial intelligence deep learning transportation engineering supply chain management natural language processing scheduling problems knowledge discovery computational intelligence computational optimization scheduling (production processes) mathematical optimization machine learning research scheduling analysis social science research deep neural networks operation management production management engineering optimization mathematical programming production scheduling maintenance scheduling transport economics transportation planning radio frequency identification inventory management online gaming pricing policy optimization problems production economics combinatorial optimization control optimization scientific computing transportation policy transportation research scheduling (computing) learning to rank ranking algorithms adversarial machine learning anomaly detection production planning principal component analysis inventory control semi-supervised learning airline crew industrial informatics production research logistics management production engineering production technologies vehicle routing problems kernel methods transport sector demand response discrete optimization airport management sequence-dependent setups discrete demand intel xeon phi generalized joint replenishment open-set recognition stochastic lead time serial inventory system variable upper bounds mixed integer programs batch normalization execution quality fulfillment errors minimum order quantity service composition

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

PROMPTFE: Automated Feature Engineering by Prompting. (2026)

artificial intelligencecomputer sciencesoftware analysissoftware language engineeringautomated software engineeringsoftware engineeringautomated feature engineeringprogram analysis

A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models. arXiv (Cornell University) (2025)

Wang, ShuyangMoazeni, SomayehKlabjan, Diego

computer scienceprompt engineeringlarge language modelsmachine learningsequential learning

BEAR: Bgp Event Analysis and Reporting. ArXiv.org (2025)

computer scienceknowledge discoveryspatio-temporal stream processingbgp event analysisdata sciencedata managementnetwork analysisanalytics

BOOSTTRANSFORMER: Enhancing Transformer Models With Subgrid Selection and Importance Sampling. (2025)

systems engineeringelectric grid integrationtransformer modelsmodeling and simulationmodel selectionsmart gridapplied mathematics

Continuous-Time Analysis of Federated Averaging. ArXiv.org (2025)

distributed problem solvingfederated database systemfederated averagingdistributed systemsstochastic processdecentralised systemapplied mathematics

Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction. (2025)

medical image computinglow-rank approximationlow-rank tensor estimationcomputational imagingdigital image processinginverse problemsimage representationimage analysisapplied mathematics

Graph Learning for Foreign Exchange Rate Prediction and Statistical Arbitrage. (2025)

foreign exchange marketsfinancial economicsinternational financial marketsgraph learningexchange ratesinternational financedata scienceexchange rate movementinternational moneyfinance

Reverse Prompt Engineering: A Zero-Shot, Genetic Algorithm Approach to Language Model Inversion. (2025)

artificial intelligencecomputer sciencegenetic programmingreverse prompt engineeringnatural language generationnatural languagegenetic algorithm approachprogram synthesisnatural language processinglanguagelanguage engineeringlanguage modelslanguage generationmodel inversion

Statistical Arbitrage in Options Markets by Graph Learning and Synthetic Long Positions. ArXiv.org (2025)

quantitative analysis (finance)graph theoryfinancial economicssynthetic long positionsalgorithmic tradinggraph learningapplied mathematicsstatistical arbitragecomputational financeoption pricingfinancial mathematicsfinancial engineeringtheoretical economicsfinancemathematical financestatistics

Subgrid Boostcnn: Efficient Boosting of Convolutional Networks via Gradient-Guided Feature Selection. (2025)

computer scienceconvolutional neural networkssubgrid boostcnncomputer visiondeep learninggradient-guided feature selectionfeature learningneural network (machine learning)machine learning researchcomputational intelligencedata sciencevideo transformerefficient boostingmachine learning

1
2
3
4
5
24
10 / page

Diego Klabjan

Professor

Northwestern University

Affiliations

Mccormick School of Engineering & Applied Science

Department of Industrial Engineering and Management Sciences

Diego Klabjan is currently serving as an Industrial Engineering And Management Sciences Professor at Northwestern University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Diego Klabjan

Northwestern University

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

PROMPTFE: Automated Feature Engineering by Prompting. (2026)

artificial intelligencecomputer sciencesoftware analysissoftware language engineeringautomated software engineeringsoftware engineeringautomated feature engineeringprogram analysis

A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models. arXiv (Cornell University) (2025)

Wang, ShuyangMoazeni, SomayehKlabjan, Diego

computer scienceprompt engineeringlarge language modelsmachine learningsequential learning

BEAR: Bgp Event Analysis and Reporting. ArXiv.org (2025)

computer scienceknowledge discoveryspatio-temporal stream processingbgp event analysisdata sciencedata managementnetwork analysisanalytics

BOOSTTRANSFORMER: Enhancing Transformer Models With Subgrid Selection and Importance Sampling. (2025)

systems engineeringelectric grid integrationtransformer modelsmodeling and simulationmodel selectionsmart gridapplied mathematics

Continuous-Time Analysis of Federated Averaging. ArXiv.org (2025)

distributed problem solvingfederated database systemfederated averagingdistributed systemsstochastic processdecentralised systemapplied mathematics

Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction. (2025)

medical image computinglow-rank approximationlow-rank tensor estimationcomputational imagingdigital image processinginverse problemsimage representationimage analysisapplied mathematics

Graph Learning for Foreign Exchange Rate Prediction and Statistical Arbitrage. (2025)

foreign exchange marketsfinancial economicsinternational financial marketsgraph learningexchange ratesinternational financedata scienceexchange rate movementinternational moneyfinance

Reverse Prompt Engineering: A Zero-Shot, Genetic Algorithm Approach to Language Model Inversion. (2025)

Statistical Arbitrage in Options Markets by Graph Learning and Synthetic Long Positions. ArXiv.org (2025)

Subgrid Boostcnn: Efficient Boosting of Convolutional Networks via Gradient-Guided Feature Selection. (2025)

1
2
3
4
5
24
10 / page

Similar Faculty Members

Zuo-Jun Shen

Institution

University of California, Berkeley

systems engineering

operations research

Jonathan Bard

Institution

University of Texas at Austin

decomposition techniques

air traffic management

Alok Choudhary

Institution

Northwestern University

computer science

parallel computing

Kaan Ozbay

Institution

New York University

vehicular technology

intelligent systems

Yevgeniy Vorobeychik

Institution

Washington University in St. Louis

game theory

complex system

Viktor K. Prasanna

Institution

University of Southern California

big data

supercomputer architecture

Michael O. Ball

Institution

University of Maryland, College Park

business

operation management

Victor S. Sheng

Institution

Texas Tech University

machine learning

computer science

Sanjay Ranka, Ph.D

Institution

University of Florida

grid computing

scientific computing

Chinmay Hegde

Institution

New York University

multidisciplinary ai

computational intelligence

Similar Faculty Members

Zuo-Jun Shen

Institution

University of California, Berkeley

systems engineering

operations research

Jonathan Bard

Institution

University of Texas at Austin

decomposition techniques

air traffic management

Alok Choudhary

Institution

Northwestern University

computer science

parallel computing

Kaan Ozbay

Institution

New York University

vehicular technology

intelligent systems

Yevgeniy Vorobeychik

Institution

Washington University in St. Louis

game theory

complex system

Viktor K. Prasanna

Institution

University of Southern California

big data

supercomputer architecture

Michael O. Ball

Institution

University of Maryland, College Park

business

operation management

Victor S. Sheng

Institution

Texas Tech University

machine learning

computer science

Sanjay Ranka, Ph.D

Institution

University of Florida

grid computing

scientific computing

Chinmay Hegde

Institution

New York University

multidisciplinary ai

computational intelligence