World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6434
World Ranking
10679
National Ranking
173

Overview

Carmel Domshlak is affiliated with the Technion - Israel Institute of Technology in Israel and specializes in computer science with a focus on artificial intelligence and related subfields. Their research broadly covers AI-based problem solving and planning, constraint satisfaction, optimization, model-driven software engineering, logic and reasoning, machine learning, recommender systems, and data management.

The scientist has contributed to various publication venues with a concentration in conferences dedicated to planning, scheduling, combinatorial search, and data management. Notable venues include:

  • Proceedings of the International Symposium on Combinatorial Search
  • Proceedings of the International Conference on Automated Planning and Scheduling
  • Proceedings of the ACM on Management of Data

Recent publications by Carmel Domshlak showcase active engagement with automated planning and search strategies. Their works include:

  • When Abstractions Met Landmarks, 2021, Proceedings of the International Conference on Automated Planning and Scheduling
  • To UCT, or not to UCT? (Position Paper), 2021, Proceedings of the International Symposium on Combinatorial Search

Co-authorships have been part of their research framework, including collaborations with several scholars such as Michael Katz, Sagi Lefler, Daniel Gnad, Jöerg Hoffmann, and Coral Scharf. These collaborations reflect interdisciplinary exchanges across topics related to combinatorial search, planning, and recommender systems.

Main research fields reflect a sustainable focus on computer science, predominantly through artificial intelligence research. Specific areas of study covered in their publications include:

  • Artificial Intelligence
  • Information Systems
  • Computer Networks and Communications
  • Software
  • Signal Processing

The main topics addressed in Carmel Domshlak's research are varied and reflect comprehensive work areas in AI and computational techniques:

  • AI-based Problem Solving and Planning
  • Constraint Satisfaction and Optimization
  • Model-Driven Software Engineering Techniques
  • Logic, Reasoning, and Knowledge
  • Machine Learning and Algorithms
  • Recommender Systems and Techniques
  • Data Management and Algorithms

Best Publications

  • CP-nets: a tool for representing and reasoning with conditional ceteris paribus preference statements

    Craig Boutilier;Ronen I. Brafman;Carmel Domshlak;Holger H. Hoos

  • Landmarks, Critical Paths and Abstractions: What's the Difference Anyway?

    Malte Helmert;Carmel Domshlak

  • CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements

    C. Boutilier;R. I. Brafman;C. Domshlak;H. H. Hoos

  • From one to many: planning for loosely coupled multi-agent systems

    Ronen I. Brafman;Carmel Domshlak

  • Preference-Based Constrained Optimization with CP-Nets

    Craig Boutilier;Ronen I. Brafman;Carmel Domshlak;Holger H. Hoos

  • Preferences in AI: An overview

    Carmel Domshlak;Eyke Hüllermeier;Souhila Kaci;Henri Prade

  • On graphical modeling of preference and importance

    Ronen I. Brafman;Carmel Domshlak;Solomon E. Shimony

  • Cost-optimal planning with landmarks

    Erez Karpas;Carmel Domshlak

  • Introducing variable importance tradeoffs into CP-nets

    Ronen I. Brafman;Carmel Domshlak

  • Preference Handling - An Introductory Tutorial

    Ronen I. Brafman;Carmel Domshlak

  • Factored planning: how, when, and when not

    Ronen I. Brafman;Carmel Domshlak

  • A general, fully distributed multi-agent planning algorithm

    Raz Nissim;Ronen I. Brafman;Carmel Domshlak

  • CP-nets: Reasoning and Consistency Testing.

    Carmel Domshlak;Ronen I. Brafman

  • Sensor networks and distributed CSP: communication, computation and complexity

    Ramón Béjar;Carmel Domshlak;Cèsar Fernández;Carla Gomes

  • Probabilistic planning via heuristic forward search and weighted model counting

    Carmel Domshlak;Jörg Hoffmann

  • Structure and complexity in planning with unary operators

    Ronen I. Brafman;Carmel Domshlak

  • Optimal admissible composition of abstraction heuristics

    Michael Katz;Carmel Domshlak

  • Better than the real thing?: iterative pseudo-query processing using cluster-based language models

    Oren Kurland;Lillian Lee;Carmel Domshlak

  • Preference-based configuration of web page content

    Carmel Domshlak;Ronen I. Brafman;Solomon E. Shimony

  • Reasoning about soft constraints and conditional preferences: complexity results and approximation techniques

    C. Domshlak;F. Rossi;K. B. Venable;T. Walsh

  • Red-black planning

    Carmel Domshlak;Jörg Hoffmann;Michael Katz

  • CP-nets: a tool for represent-ing and reasoning with conditional ceteris paribus state-ments

    Craig Boutilier;Ronen I. Brafman;Carmel Domshlak;Holger H. Hoos

Frequent Co-Authors

Ronen I. Brafman
Ronen I. Brafman Ben-Gurion University of the Negev
Jörg Hoffmann
Jörg Hoffmann Saarland University
Avigdor Gal
Avigdor Gal Technion – Israel Institute of Technology
Holger H. Hoos
Holger H. Hoos RWTH Aachen University
David Poole
David Poole University of British Columbia
Craig Boutilier
Craig Boutilier Google (United States)
Malte Helmert
Malte Helmert University of Basel
Shaul Markovitch
Shaul Markovitch Technion – Israel Institute of Technology
Thorsten Joachims
Thorsten Joachims Cornell University
Toby Walsh
Toby Walsh University of New South Wales

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