Transactions on Machine Intelligence

Transactions on Machine Intelligence

Reviewers

✉️ Invitation to Peer Reviewers

Dear Prospective Reviewer,

We are delighted to invite you to serve as a peer reviewer for Transactions on Machine Intelligence (TMI). As part of our double-blind review process, both authors' and reviewers' identities remain anonymous, ensuring impartiality and integrity in manuscript evaluation.


👥 Who We Are Looking For

We welcome experts from academia and industry whose research aligns with TMI’s focus on Machine Intelligence. Ideal reviewers possess expertise in one or more of the following areas:

  • Machine Vision & Image Understanding

  • Robotics & Autonomous Systems

  • AI Algorithms & Frameworks

  • Biomedical Image & Signal Analysis

  • Biometrics & Identity Recognition

  • Speech & Natural Language Processing (NLP)

  • Data Mining & Knowledge Discovery

  • Medical Image Processing & Applications

  • Applications of Machine Intelligence in Healthcare, Industry & Society

  • Motion Detection & Activity Recognition

  • Neural Networks & Deep Learning Architectures

  • Multimedia Signal Processing


⏳ Time Commitment & Expectations

  • Availability: Reviewers should have stable internet access and be ready to receive manuscripts via email or our online system.

  • Timeliness: Reviews are expected within 2–3 weeks of assignment to maintain an efficient editorial process.

  • Quality: We request reviews that are detailed, objective, and constructive, offering clear feedback to improve the manuscript.


🏆 Reviewer Recognition & Benefits

  • You will receive a certificate of appreciation for each completed review.

  • Your name, affiliation, and areas of expertise will be publicly acknowledged on the TMI website unless you prefer to remain anonymous.

  • Being listed enhances your professional profile and helps future authors identify relevant reviewers.


📩 How to Apply

If interested, please send the following materials to info[@]tmachineintelligence.ir:

  1. A brief CV (max 5 pages) highlighting your recent English‑language publications.

  2. A completed reviewer application form, including your areas of expertise and contact information.

Thank you for considering this opportunity to contribute to the scholarly community and elevate the standards of scientific publication.

Sincerely,
Editor-in-Chief
Transactions on Machine Intelligence (TMI)


🛠 Enhancements Based on Peer-Review Best Practices

  1. Double-blind process transparency: Clarified the anonymity standards .

  2. Timeline clarity: Specified expected review timeframe (2–3 weeks) to facilitate planning 

  3. Reviewer guidance: Emphasized need for constructive and objective feedback.

  4. Benefits and recognition transparency: Included public acknowledgement and certificate of appreciation.

  5. Formal structure: Added headings and bullet lists for improved readability and professional tone.