World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
8035
World Ranking
7217
National Ranking
1974

Overview

Mark Lawley is affiliated with Texas A&M University in the United States. Their research primarily focuses on Medicine, with a body of work addressing several subfields including Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Emergency Medicine, and General Health Professions.

The scientist's research topics include Diabetes Management and Research, Mosquito-borne Diseases and Control, Blood Pressure and Hypertension Studies, Healthcare Operations and Scheduling Optimization, Healthcare Policy and Management, Diabetes and Associated Disorders, and Heart Rate Variability and Autonomic Control.

Major recent papers authored by or involving Mark Lawley include:

  • Feature-Based Machine Learning Model for Real-Time Hypoglycemia Prediction (2020), Journal of Diabetes Science and Technology
  • Improved Low-Glucose Predictive Alerts Based on Sustained Hypoglycemia: Model Development and Validation Study (2021), JMIR Diabetes
  • Making Gene Drive Biodegradable (2020), Philosophical Transactions of the Royal Society B Biological Sciences
  • Predictive Model for Microclimatic Temperature and Its Use in Mosquito Population Modeling (2021), Scientific Reports
  • Economic Evaluation of Blood Pressure Monitoring Techniques in Patients With Hypertension (2023), JAMA Network Open

Mark Lawley's frequent coauthors include Madhav Erraguntla, Hye-Chung Kum, Sulki Park, Darpit Dave, and Kevin M. Myles.

The scientist commonly publishes in the following venues:

  • Journal of Medical Internet Research
  • Scientific Reports
  • Journal of Diabetes Science and Technology
  • JMIR Diabetes
  • JAMA Network Open

Best Publications

  • Residual-life distributions from component degradation signals: A Bayesian approach

    Nagi Z. Gebraeel;Mark A. Lawley;Rong Li;Jennifer K. Ryan

  • EXECUTING PRODUCTION SCHEDULES IN THE FACE OF UNCERTAINTIES: A REVIEW AND SOME FUTURE DIRECTIONS

    Haldun Aytug;Mark A. Lawley;Kenneth McKay;Shantha Mohan

  • Residual life predictions from vibration-based degradation signals: a neural network approach

    N. Gebraeel;M. Lawley;R. Liu;V. Parmeshwaran

  • A stochastic overbooking model for outpatient clinical scheduling with no-shows

    Kumar Muthuraman;Mark Lawley

  • A Neural Network Integrated Decision Support System for Condition-Based Optimal Predictive Maintenance Policy

    Sze-jung Wu;N. Gebraeel;M.A. Lawley;Y. Yih

  • A Neural Network Degradation Model for Computing and Updating Residual Life Distributions

    N.Z. Gebraeel;M.A. Lawley

  • Polynomial-complexity deadlock avoidance policies for sequential resource allocation systems

    S.A. Reveliotis;M.A. Lawley;P.M. Ferreira

  • Clinic scheduling models with overbooking for patients with heterogeneous no-show probabilities

    Bo Zeng;Ayten Turkcan;Ji Lin;Mark A. Lawley

  • Using no-show modeling to improve clinic performance.

    Joanne K. Daggy;Mark A. Lawley;Deanna Willis;Debra Thayer

  • Effects of clinical characteristics on successful open access scheduling.

    Renata Kopach;Po Ching DeLaurentis;Mark Lawley;Kumar Muthuraman

  • A correct and scalable deadlock avoidance policy for flexible manufacturing systems

    M.A. Lawley;S.A. Reveliotis;P.M. Ferreira

  • Sequential clinical scheduling with patient no-shows and general service time distributions

    Santanu Chakraborty;Kumar Muthuraman;Mark Lawley

  • Chemotherapy Operations Planning and Scheduling

    Ayten Turkcan;Bo Zeng;Mark Lawley

  • Deadlock avoidance for production systems with flexible routing

    M.A. Lawley

  • Applying Systems Engineering Principles in Improving Health Care Delivery

    Renata Kopach-Konrad;Mark Lawley;Mike Criswell;Imran Hasan

  • Deadlock Avoidance for Sequential Resource Allocation Systems: Hard and Easy Cases

    Mark Lawley;Spyros Reveliotis

  • No-shows to primary care appointments: subsequent acute care utilization among diabetic patients

    Lynn A Nuti;Mark Lawley;Ayten Turkcan;Zhiyi Tian

  • Design Guidelines for Deadlock-Handling Strategies in Flexible Manufacturing Systems

    Mark Lawley;Spiridon Reveliotis;Placid Mathew Ferreira

  • Robust supervisory control policies for manufacturing systems with unreliable resources

    M.A. Lawley;W. Sulistyono

  • Barriers to Remote Health Interventions for Type 2 Diabetes: A Systematic Review and Proposed Classification Scheme

    Michelle M Alvarado;Hye-Chung Kum;Hye-Chung Kum;Karla Gonzalez Coronado;Margaret J Foster

  • The Application and Evaluation of Banker's Algorithm for Deadlock-Free Buffer Space Allocation in Flexible Manufacturing Systems

    Mark Lawley;Spyros Reveliotis;Placid Ferreira

Frequent Co-Authors

Placid Mathew Ferreira
Placid Mathew Ferreira University of Illinois at Urbana-Champaign
Yuehwern Yih
Yuehwern Yih Purdue University West Lafayette
José A. Pagán
José A. Pagán New York University
Khalid A. Qaraqe
Khalid A. Qaraqe Hamad bin Khalifa University
Qammer H. Abbasi
Qammer H. Abbasi University of Glasgow
Reha Uzsoy
Reha Uzsoy North Carolina State University
William M. Tierney
William M. Tierney The University of Texas at Austin
Michael A. Morrisey
Michael A. Morrisey Texas A&M University
Makoto Kaneko
Makoto Kaneko Osaka University
László Monostori
László Monostori Budapest University of Technology and Economics

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