World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
48784
World Ranking
3146
National Ranking
1523

Overview

Michael Lewis is affiliated with the University of Pittsburgh in the United States. Their research spans multiple fields, primarily in computer science and psychology, with a focus on artificial intelligence and social psychology as key subfields. The scientist's work also intersects with cultural studies, molecular biology, and sociology and political science.

Their main research topics include human-automation interaction and safety, reinforcement learning in robotics, and team dynamics and performance. Other areas covered by their work include adversarial robustness in machine learning, language and cultural evolution, viral infectious diseases and gene expression in insects, and occupational health and safety research.

Michael Lewis has contributed to academic literature through various publication venues. These include:

  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • arXiv (Cornell University)
  • Frontiers in Psychology
  • Analytical Chemistry
  • IEEE Transactions on Human-Machine Systems

They have collaborated frequently with several co-authors over the years. The most common among these are:

  • Katia Sycara
  • Huao Li
  • Dana Hughes
  • Joseph B. Lyons
  • August Capiola

Among the recent papers authored or co-authored by Michael Lewis are:

  • Human-Autonomy Teaming: Definitions, Debates, and Directions (2021), published in Frontiers in Psychology
  • ID-MAM: A Validated Identity and Multi-Attribute Monitoring Method for Commercial Release and Stability Testing of a Bispecific Antibody (2021), published in Analytical Chemistry
  • Individualized Mutual Adaptation in Human-Agent Teams (2021), published in IEEE Transactions on Human-Machine Systems
  • PACAP and VIP Neuropeptides' and Receptors' Effects on Appetite, Satiety and Metabolism (2023), published in Biology
  • Planning and Monitoring Multi-Job Type Swarm Search and Service Missions (2021), published in Journal of Intelligent & Robotic Systems

In addition to journal and conference publications, Michael Lewis has a book published by Springer International Publishing titled Fandom Analytics (2024).

Best Publications

  • RoBERTa: A Robustly Optimized BERT Pretraining Approach

    Yinhan Liu;Myle Ott;Naman Goyal;Jingfei Du

  • BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

    Mike Lewis;Yinhan Liu;Naman Goyal;Marjan Ghazvininejad

  • Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

    Patrick S. H. Lewis;Ethan Perez;Aleksandra Piktus;Fabio Petroni

  • Multilingual Denoising Pre-training for Neural Machine Translation

    Yinhan Liu;Jiatao Gu;Naman Goyal;Xian Li

  • Hierarchical Neural Story Generation

    Angela Fan;Mike Lewis;Yann N. Dauphin

  • Common metrics for human-robot interaction

    Aaron Steinfeld;Terrence Fong;David Kaber;Michael Lewis

  • End-to-end Neural Coreference Resolution

    Kenton Lee;Luheng He;Mike Lewis;Luke Zettlemoyer

  • USARSim: a robot simulator for research and education

    S. Carpin;M. Lewis;Jijun Wang;S. Balakirsky

  • Deep Semantic Role Labeling: What Works and What’s Next

    Luheng He;Kenton Lee;Mike Lewis;Luke Zettlemoyer

  • Human Interaction With Robot Swarms: A Survey

    Andreas Kolling;Phillip Walker;Nilanjan Chakraborty;Katia Sycara

  • Deal or No Deal? End-to-End Learning of Negotiation Dialogues

    Mike Lewis;Denis Yarats;Yann N. Dauphin;Devi Parikh

  • Human-robot teaming for search and rescue

    I.R. Nourbakhsh;K. Sycara;M. Koes;M. Yong

  • Asking and Answering Questions to Evaluate the Factual Consistency of Summaries

    Alex Wang;Kyunghyun Cho;Mike Lewis

  • The role of trust in human-robot interaction

    Michael Lewis;Katia Sycara;Phillip M Walker

  • GAME ENGINES IN SCIENTIFIC RESEARCH

    Jeffrey Jacobson;Michael Lewis

  • Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog

    Sebastian Schuster;Sonal Gupta;Rushin Shah;Mike Lewis

  • Strategies for Structuring Story Generation

    Angela Fan;Mike Lewis;Yann N. Dauphin

  • Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language

    Luheng He;Mike Lewis;Luke Zettlemoyer

  • A Corpus of Natural Language for Visual Reasoning.

    Alane Suhr;Mike Lewis;James Yeh;Yoav Artzi

  • Generalization through Memorization: Nearest Neighbor Language Models

    Urvashi Khandelwal;Omer Levy;Dan Jurafsky;Luke Zettlemoyer

  • Deal or No Deal? End-to-End Learning for Negotiation Dialogues

    Mike Lewis;Denis Yarats;Yann N. Dauphin;Devi Parikh

  • Common metrics for human-robot interaction

    T. Fong;D. Kaber;M. Lewis;J. Scholtz

  • Question-answer driven semantic role labeling

    Luheng He;Mike Lewis;Luke Zettlemoyer

Frequent Co-Authors

Katia Sycara
Katia Sycara Carnegie Mellon University
Luke Zettlemoyer
Luke Zettlemoyer University of Washington
Mark Steedman
Mark Steedman University of Edinburgh
Christian Lebiere
Christian Lebiere Carnegie Mellon University
Terry R. Payne
Terry R. Payne University of Liverpool
Kenton Lee
Kenton Lee Google (United States)
Sebastian Scherer
Sebastian Scherer Carnegie Mellon University
Yann N. Dauphin
Yann N. Dauphin Google (United States)
Veselin Stoyanov
Veselin Stoyanov Facebook (United States)
Omer Levy
Omer Levy Deep Mind

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