Mark Harman is affiliated with University College London in the United Kingdom and has contributed extensively to research in Computer Science, with a particular focus on software and machine learning domains. Their work spans multiple subfields, including Software, Information Systems, Artificial Intelligence, Computer Networks and Communications, and Safety Research.
The scientist's research topics include Software Testing and Debugging Techniques, Software Engineering Research, Software Reliability and Analysis Research, Adversarial Robustness in Machine Learning, Software System Performance and Reliability, Ethics and Social Impacts of AI, and Explainable Artificial Intelligence (XAI).
Mark Harman has published papers in several prominent venues. Notable publication venues include:
Some of the recent papers authored by or co-authored with Mark Harman are:
Mark Harman frequently collaborates with other researchers. Some of the main co-authors include:
Yue Jia;M. Harman
S. Yoo;M. Harman
Mark Harman;Bryan F Jones
Earl T. Barr;Mark Harman;Phil McMinn;Muzammil Shahbaz
Z. Li;M. Harman;R.M. Hierons
Mark Harman;S. Afshin Mansouri;Yuanyuan Zhang
Saswat Anand;Edmund K. Burke;Tsong Yueh Chen;John Clark
Jie M. Zhang;Mark Harman;Lei Ma;Yang Liu
M. Harman
Mark Harman;Phil McMinn;Jerffeson Teixeira de Souza;Shin Yoo
Ke Mao;Mark Harman;Yue Jia
Erick Cantú-Paz;James A. Foster;Kalyanmoy Deb;Lawrence David Davis
William Martin;Federica Sarro;Yue Jia;Yuanyuan Zhang
M. Harman;P. McMinn
Shin Yoo;Mark Harman
Robert M. Hierons;Kirill Bogdanov;Jonathan P. Bowen;Rance Cleaveland
Ke Mao;Licia Capra;Mark Harman;Yue Jia
Kata Praditwong;Mark Harman;Xin Yao
Mike Papadakis;Marinos Kintis;Jie Zhang;Yue Jia
J Clarke;J J Dolado;Mark Harman;R Hierons
If you think any of the details on this page are incorrect, let us know.
Students interested in Computer Science often explore similar fields to broaden their skills and expand their career options. Many universities in the USA now offer fully online programs in related disciplines, allowing for flexible, affordable study while balancing work and other commitments.
For example, some students pursue an mechanical engineering degree online cost to enter industries that rely on both coding and engineering principles. Similarly, those fascinated by the fundamentals of science may consider online physics degrees, which can open doors in research and technology sectors.
The data science sector is also rapidly growing, and finding the cheapest data science degree is a practical step for data-driven career paths in tech, business, and healthcare. In addition, many tech-minded students inquire about electrical engineering online tuition costs to prepare for innovation in electronics, automation, and AI.
Exploring related online degrees can build a strong, versatile foundation for a wide range of technology careers, often at a lower cost and greater convenience than traditional on-campus programs.
Princeton University
Translational Genomics Research Institute
RIKEN
Stanford University
Medical University of South Carolina
University of Lille
SLAC National Accelerator Laboratory
Institut Imagine
University of Milan
University of Milano-Bicocca
Chinese University of Hong Kong
National University of Singapore
Saarland University
Royal Institute of Technology
Oregon State University
Queen's University