World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
11916
World Ranking
4095
National Ranking
1943

Research.com Recognitions

  • 2018 - AAAI Robert S. Engelmore Memorial Lecture Award For sustained research excellence in constraint-based planning and scheduling technologies, deployment of those technologies to a range of significant real-world problems, and extensive service to the AI community that includes significant outreach to related technical fields.
  • 2007 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to heuristic and mixed-initiative scheduling, constraint-based search, and the development of scalable AI systems.

Overview

Stephen F. Smith is affiliated with Carnegie Mellon University in the United States and has a research portfolio centered primarily on engineering and computer science fields. Their work spans multiple subfields, including industrial and manufacturing engineering, automotive engineering, computer networks and communications, control and systems engineering, as well as computer vision and pattern recognition.

The scientist's research topics encompass several areas related to transportation and optimization technologies. Key focus areas include:

  • Traffic control and management
  • Transportation planning and optimization
  • Traffic prediction and management techniques
  • Optimization and search problems
  • Vehicle routing optimization methods
  • Robotic path planning algorithms
  • Transportation and mobility innovations

Stephen F. Smith has published in notable venues that include arXiv (Cornell University), IEEE Transactions on Intelligent Transportation Systems, SSRN Electronic Journal, Zenodo (CERN European Organization for Nuclear Research), and AI Magazine. Their frequent co-authors are Hsu-kuang Chiu, Zachary B. Rubinstein, Jayanth Krishna Mogali, Laura Barbulescu, and Joris Kinable.

Among recent publications authored or co-authored by Stephen F. Smith are:

  • "Smart Infrastructure for Future Urban Mobility," 2020, AI Magazine

Other recent papers linked to co-authors, within related domains, include:

  • "Efficient primal heuristic updates for the blocking job shop problem," 2021, European Journal of Operational Research
  • "Snow plow route optimization: A constraint programming approach," 2020, IISE Transactions
  • "Incremental Management of Oversubscribed Vehicle Schedules in Dynamic Dial-A-Ride Problems," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Hierarchical Bayesian Framework for Bus Dwell Time Prediction," 2020, IEEE Transactions on Intelligent Transportation Systems

Stephen F. Smith has been recognized with several professional awards, including the AAAI Robert S. Engelmore Memorial Lecture Award in 2018 for work in constraint-based planning and scheduling technologies, and election as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2007 for contributions to heuristic and mixed-initiative scheduling, constraint-based search, and scalable AI system development.

Best Publications

  • Modeling Supply Chain Dynamics: A Multiagent Approach

    Jayashankar M. Swaminathan;Stephen F. Smith;Norman M. Sadeh

  • ISIS—a knowledge‐based system for factory scheduling

    Mark S. Fox;Stephen F. Smith

  • A learning system based on genetic adaptive algorithms

    Stephen Frederick Smith

  • Flexible learning of problem solving heuristics through adaptive search

    Stephen F. Smith

  • A Constraint-Based Method for Project Scheduling with Time Windows

    Amedeo Cesta;Angelo Oddi;Stephen F. Smith

  • Using genetic algorithms to schedule flow shop releases

    Gary A. Cleveland;Stephen F. Smith

  • CMRadar : A personal assistant agent for calendar management

    Pragnesh Jay Modi;Manuela Veloso;Stephen F. Smith;Jean Oh

  • Construction and maintaining detailed production plans: Investigations into the development of knowledge-based factory scheduling systems

    Stephen F Smith;Mark S Fox;Peng Si Ow

  • Slack-based heuristics for constraint satisfaction scheduling

    Stephen F. Smith;Cheng-Chung Cheng

  • Competition-Based Induction of Decision Models from Examples

    David Perry Greene;Stephen F. Smith

  • Wasp-like Agents for Distributed Factory Coordination

    Vincent A. Cicirello;Stephen F. Smith

  • Reactive Scheduling Systems

    Stephen F. Smith

  • Viewing scheduling as an opportunistic problem-solving process

    P. S. Ow;S. F. Smith

  • Knowledge-based production management approaches, results and prospects

    Stephen F. Smith

  • Schedule-driven intersection control

    Xiao-Feng Xie;Stephen F. Smith;Liang Lu;Gregory J. Barlow

  • An Ontology for Constructing Scheduling Systems

    Stephen F. Smith;Marcel A. Becker

  • Reactive plan revision

    Peng Si Ow;Stephen F. Smith;Alfred Thiriez

  • Generating robust schedules through temporal flexibility

    Nicola Policella;Stephen F. Smith;Amedeo Cesta;Angelo Oddi

  • APPLYING CONSTRAINT SATISFACTION TECHNIQUES TO JOB SHOP SCHEDULING

    Cheng-Chung Cheng;Stephen F. Smith

  • An Integrated Framework for Generating and Revising Factory Schedules

    Stephen F. Smith;Peng Si Ow;Jean-Yves Potvin;Nicola Muscettola

Frequent Co-Authors

Reid Simmons
Reid Simmons Carnegie Mellon University
Alan Scheller-Wolf
Alan Scheller-Wolf Carnegie Mellon University
Norman Sadeh
Norman Sadeh Carnegie Mellon University
Mark S. Fox
Mark S. Fox University of Toronto
Jayashankar M. Swaminathan
Jayashankar M. Swaminathan University of North Carolina at Chapel Hill
Manuela Veloso
Manuela Veloso Carnegie Mellon University
Jean-Yves Potvin
Jean-Yves Potvin University of Montreal
Anthony Stentz
Anthony Stentz Carnegie Mellon University
Jaime G. Carbonell
Jaime G. Carbonell Carnegie Mellon University
Hoong Chuin Lau
Hoong Chuin Lau Singapore Management University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a range of flexible online education options and rewarding career routes. For those interested in launching their tech career quickly, online associate degree programs can provide the core skills needed for entry-level positions in less than two years.

If you want to specialize further or move into advanced roles, you may wonder, what masters program should I do? Choosing a high-demand discipline like computer science, data analytics, or cybersecurity can boost your career and salary prospects.

For those looking to advance quickly and affordably, consider the quickest cheapest masters degree options online. Many programs offer accelerated paths so you can earn your credentials in as little as 12-18 months.

Certifications are also highly valued in tech. There are certifications that pay well and require less time investment than a degree, making them ideal for career changers or upskillers.

With so many online pathways available, you can tailor your education to meet your career goals and personal schedule.

Best Scientists Citing Stephen F. Smith

Trending Scientists

Recently Published Articles