Research ActivitiesNews

Guest Editorial Leadership in Special Issues & Research Topics

Elhosseini

October 15, 2026

4 Min Read

368 Views

0 Comments

Collaborative Editorial Activities Across Artificial Intelligence, Machine Learning, Deep Learning, Healthcare, Automation, and Intelligent Systems

Guest Editorial Leadership in Special Issues & Research Topics

Guest editing is an important part of my academic and professional service, providing an opportunity to collaborate with fellow researchers, contribute to emerging research directions, and help bring together high-quality work around focused scientific themes.

Over the years, I have participated with colleagues in the editorial leadership of Special Issues, Research Topics, and thematic collections related to my research interests, particularly in:

Artificial Intelligence · Machine Learning · Deep Learning · Healthcare AI · Digital Twins · Automation · Intelligent Systems · Optimization · Transportation Systems · Computational Engineering

These activities are collaborative in nature. I serve as part of a Guest Editorial Team, working with fellow Guest Editors, Topic Editors, or Guest Associate Editors depending on the terminology adopted by the journal or publisher.

Special Issues & Research Topics

The table below provides a consolidated record of my collaborative guest-editing activities, including completed, closed, and currently open calls.

🟢Currently Open for Submission

Digital Twin Technology in Healthcare: Computational Modeling, AI-Driven Clinical Applications, and Personalized Medicine

Journal: Bioengineering
Publisher: MDPI
Role: Guest Editor
Submission Deadline: 30 Apr 2027

This Special Issue focuses on Digital Twin technology in healthcare, integrating patient-specific computational models, AI, biomedical simulation, real-time physiological data, IoT, and clinical decision support to enable personalized diagnosis, prognosis, treatment planning, and healthcare optimization. It welcomes research advancing digital twins from proof-of-concept toward clinically validated, explainable, privacy-preserving, and regulatory-ready healthcare applications across areas such as cardiovascular care, oncology, neurology, rehabilitation, hospital operations, and precision medicine.

[ Visit Special Issue ]

Digital Twin-Enabled Intelligent Transportation Systems: Computational Modeling, AI Integration, and Smart Mobility Applications

Journal: CMES-Computer Modeling in Engineering & Sciences
Publisher: Tech Science Press
Role: Guest Editor
Submission Deadline: 31 January 2027

This Special Issue focuses on Digital Twin–enabled Intelligent Transportation Systems, integrating AI, machine learning, IoT, edge computing, and advanced simulation to improve traffic prediction, infrastructure monitoring, autonomous mobility, routing, and multimodal transport operations. It welcomes computational and engineering research that advances real-time, resilient, secure, and sustainable smart mobility, including connected vehicles, smart infrastructure, EV networks, UAV-supported monitoring, and real-world smart-city deployments.

Editorial Themes

My guest editorial activities generally focus on interdisciplinary research at the intersection of intelligent computational methods and real-world engineering and healthcare applications.

Recurring themes include:

Artificial Intelligence and Machine Learning
Advanced AI, machine learning, deep learning, explainable AI, intelligent decision-support systems, and data-driven modeling.

Healthcare and Biomedical Intelligence
AI-assisted diagnosis, digital health, medical imaging, personalized medicine, clinical decision support, healthcare digital twins, and intelligent monitoring.

Digital Twins and Cyber-Physical Systems
Digital twin architectures, real-time synchronization, simulation, predictive modeling, intelligent infrastructure, and cyber-physical integration.

Optimization and Decision Analytics
Metaheuristics, multi-objective optimization, robust optimization, uncertainty-aware decision-making, resource allocation, and intelligent scheduling.

Smart Transportation and Automation
Intelligent transportation systems, mobility analytics, digital twins for transportation, automation, traffic optimization, connected systems, and smart infrastructure.

Why Guest Editing Matters

Guest editing provides more than an editorial role.

It creates a platform for researchers working on related challenges to exchange ideas, establish collaborations, and help shape emerging research directions.

Working with fellow Guest Editors and Guest Associate Editors also supports interdisciplinary collaboration across computer science, engineering, healthcare, optimization, automation, and intelligent systems.

My goal in participating in these Special Issues and Research Topics is to support rigorous, innovative, and practically relevant research while helping connect researchers working on complementary problems.

Interested in Contributing?

Researchers whose work aligns with one of the currently open Special Issues or Research Topics are welcome to review the corresponding official call.

Please consult the official journal page for:

Scope · Manuscript Types · Submission Deadline · APC Information · Author Guidelines · Editorial Team · Submission Portal

Use the links in the table above to access the official Special Issue or Research Topic pages.

Acknowledgment to My Editorial Colleagues

I sincerely appreciate the colleagues with whom I have had the opportunity to serve on these Guest Editorial Teams.

Guest editing is inherently collaborative. Developing the scope, attracting high-quality contributions, evaluating manuscript suitability, coordinating peer review, and maintaining scientific standards all benefit from the experience and commitment of the entire editorial team.

I am grateful for these collaborations and look forward to continuing to work with researchers and editors across interdisciplinary areas of AI, intelligent systems, healthcare, optimization, automation, and engineering.

Prof. Mostafa A. Elhosseini

Professor of Smart Systems Engineering
IEEE Senior Member

Research interests include Artificial Intelligence, Machine Learning, Deep Learning, Optimization, Smart Systems, Digital Twins, Healthcare AI, Intelligent Transportation, and Automation.