Reviewer Board

The Reviewer Board consists of distinguished experts from leading universities and institutions worldwide, covering a broad spectrum of domains in systems, computing, and information engineering.

Reviewer Board Members

Dr. Michael R. Thompson

MIT, USA

System Architecture
Dr. Olivia Carter

University of Toronto, Canada

Information Systems
Dr. Brandon Hale

Stanford University, USA

Distributed Computing
Dr. Emilia Brooks

University of British Columbia, Canada

Data Engineering
Dr. Jacob Sinclair

Carnegie Mellon University, USA

Cyber-Physical Design
Dr. Anna Müller

Technical University of Munich, Germany

Embedded Systems
Dr. Pierre Lambert

Sorbonne University, France

Information Modeling
Dr. Isabella Rinaldi

Politecnico di Milano, Italy

System Simulation
Dr. Tomasz Kowalski

Warsaw University of Technology, Poland

Software Systems
Dr. Sofia Andersen

Aalborg University, Denmark

Human-Centered Design
Dr. Victor Ivanov

Moscow Institute of Technology, Russia

System Optimization
Dr. Maria Petrou

University of Athens, Greece

Networked Information Systems
Dr. Henrik Olsson

Lund University, Sweden

Industrial System Design
Dr. Carla Mendes

University of Lisbon, Portugal

Information Processing
Dr. Benjamin Hughes

University of Edinburgh, UK

Intelligent Systems
Dr. Sunil Verma

Indian Institute of Technology Delhi, India

System Integration
Dr. Aiko Nakamura

University of Tokyo, Japan

Information Processing
Dr. Farah Khan

National University of Singapore, Singapore

Data Systems
Dr. Chen Wei

Tsinghua University, China

High-Performance Computing
Dr. Hyun-Woo Park

KAIST, South Korea

System Dynamics
Dr. Reza Hossaini

University of Tehran, Iran

Control Systems
Dr. Siti Rahman

Universiti Malaya, Malaysia

Information Engineering
Dr. Nurul Hashim

Universiti Teknologi Malaysia, Malaysia

System Optimization
Dr. Thanh Nguyen

Vietnam National University, Vietnam

Decision Support Systems
Dr. Aditya Chatterjee

IIT Bombay, India

System Architecture
Dr. Khalid Al-Masri

King Saud University, Saudi Arabia

Cloud Systems
Dr. Rana Youssef

American University of Beirut, Lebanon

Computing Frameworks
Dr. Omar Al-Fahim

United Arab Emirates University

Data Infrastructure
Dr. Samira El-Hassan

University of Jordan

Information Technologies
Dr. Yasser Ibrahim

Cairo University, Egypt

System Modeling
Dr. Thabo Ndlovu

University of Johannesburg, South Africa

System Engineering
Dr. Amina Suleiman

University of Lagos, Nigeria

Information Systems
Dr. Joseph K. Mensah

University of Ghana

Data Management
Dr. Laila Harrak

University of Casablanca, Morocco

Computational Design
Dr. Samuel Tadesse

Addis Ababa University, Ethiopia

Software Architectures
Dr. Lucas Ribeiro

University of São Paulo, Brazil

System Verification
Dr. Camila Torres

Pontifical Catholic University of Chile

Information Analysis
Dr. Alejandro Ruiz

National Autonomous University of Mexico

Network Systems
Dr. Valentina Gómez

University of Buenos Aires, Argentina

Information Processing
Dr. Jorge Silva

Universidad de los Andes, Colombia

Intelligent Data Systems
Dr. Ethan McAllister

University of Sydney, Australia

System Design
Dr. Amelia Wright

University of Melbourne, Australia

Information Processing
Dr. Liam Carter

University of Auckland, New Zealand

Distributed Systems
Dr. Harper Wilson

Curtin University, Australia

System Engineering
Dr. Chloe Bennett

Queensland University of Technology, Australia

Interaction Systems
Dr. Paolo Gonzalez

University of Manila, Philippines

Data-Driven Systems
Dr. Ingrid Holm

University of Reykjavik, Iceland

Software System Evaluation
Dr. Andrei Novak

Charles University, Czech Republic

Information Theory
Dr. Elena Stoyanov

Sofia University, Bulgaria

Systems Analytics
Dr. Haruto Suzuki

Kyoto University, Japan

Algorithmic System Design
Dr Someshwar Siddi

Department of FME, St. Martin’s Engineering College, Secunderabad, India

Guidelines for Reviewers

Understand the Scope
- Read the instructions or evaluation criteria before starting.
- Ensure you know what the review is assessing (quality, relevance, originality, accuracy, performance, etc.).
Be Objective and Fair
- Base your evaluation on evidence, not personal preference.
- Avoid bias related to author identity, institution, gender, language, or cultural background.
Provide Constructive Feedback
- Highlight both strengths and weaknesses.
- Suggest concrete improvements when pointing out issues.
- Be specific and refer to lines, sections, or examples.
Be Clear and Structured
A good review typically includes:
- Summary
- Major comments
- Minor comments
- Recommendation (accept / revise / reject)
Focus on Key Evaluation Criteria
- Originality and innovation
- Accuracy and validity
- Methodology or process
- Clarity and organization
- Relevance and contribution
- Ethical standards
- Completeness and consistency
Be Professional and Respectful
- Use a polite, neutral tone.
- Focus on the work, not the author (avoid harsh wording like “this is terrible”).
Maintain Confidentiality
- Do not share or discuss the material you are reviewing.
- Do not use unpublished ideas or data for your own benefit.
Declare Conflicts of Interest
- If you cannot review impartially, disclose this immediately.
- Conflicts include personal relationships, competition, collaboration, or financial interests.
Respect Deadlines
- Submit your review on time.
- Request more time early if needed.
Stay within Your Expertise
- Only comment deeply on areas where you are competent.
- If uncertain about some aspects, state this clearly in the review.