service
Contributing to the research community through peer review, mentorship, and open science.
Advancing science requires active participation in the research community. I contribute through rigorous peer review, research mentorship, conference presentations, and open educational resources that benefit researchers worldwide.
Peer Review Service
Journal Reviewing
Served as reviewer for 15+ manuscripts across multiple Q1/Q2 journals, with 5+ reviews currently in progress.
Active Journals:
- Scientific Reports (Nature Portfolio)
- Expert Systems with Applications (Elsevier)
- Biomedical Signal Processing and Control (Elsevier)
- Knowledge-Based Systems (Elsevier)
- Other top-tier AI/ML venues
Review Expertise:
- Natural Language Processing
- Machine Learning & Deep Learning
- Medical AI & Healthcare Applications
- Computer Vision & Pattern Recognition
- Quantum Machine Learning
- Model Compression & Efficiency
Review Philosophy
I approach peer review as a constructive dialogue, focusing on:
- Rigor: Thorough evaluation of methodology and claims
- Constructiveness: Actionable feedback for improvement
- Timeliness: Respecting deadlines and author timelines
- Fairness: Objective assessment free from bias
Conference & Workshop Presentations
2025
IEEE International Conference on Data Mining (ICDM 2025)
November 15, 2025 • Oral + Poster
“HadaSmileNet: Hadamard fusion for facial emotion recognition”
VIBE Summit, Mayo Clinic
2025 • Poster
“Predictive Blood Utilization for Transfusion Operations”
NeurIPS 2025 — Women in Machine Learning Workshop
2025 • Poster
“Early detection of occupational stress with ML and LLMs”
Reading Groups & Seminars
Research Grants & Funding
2023 — AdSEARCH Research Grant
icddr,b, Dhaka, Bangladesh
Award: $35,000 for “Best Innovation Idea”
Project: “Meno-Chat: An Assistive Chatbot Against Menstrual Problems and Menopause Health for Women”
Focus Area: Sexual and Reproductive Health and Rights (SRHR) in Bangladesh
Impact: Addressing women’s health disparities through AI-powered conversational agents
Mentorship & Supervision
Research Mentorship Statistics
| Metric | Count |
|---|---|
| Students Mentored | 150+ |
| Research Projects Supervised | 15+ |
| Co-authored Manuscripts | 12 |
| Q1 Journal Submissions | 9 |
| Project Completion Rate | >90% |
| Student Publications | First-author & co-author papers in Q1 venues |
Mentorship Philosophy
I believe in empowering early-career researchers by:
- Collaborative Ideation: Working together to identify impactful research questions
- Hands-on Guidance: From literature review to manuscript preparation
- Open Resources: Creating educational materials accessible to all
- Publication Support: Navigating the peer review process
Open Science Contributions
Open-Source Educational Materials
GitHub Repositories (Used by students worldwide):
- Deep Learning with PyTorch — Comprehensive tutorials
- Quantum Machine Learning — QML course materials
- Clinical NLP Resources — Low-resource translation datasets
Course Slides (Publicly available):
- Natural Language Processing
- Generative Adversarial Networks
- Model Efficiency & Compression
- Quantum Machine Learning
All materials released under open licenses for community benefit.
Invited Talks & Seminars
2025
- Mayo Clinic Research Symposium: “Evaluating an Ambient Clinical Scribe Technology” [Slides]
2024
- BRAC University (BIGD): “Responsible AI Practices in Prompt Engineering” [Slides]
Professional Affiliations
- IEEE: Member (Computer Society)
- ACM: Student Member
- Association for Computational Linguistics (ACL): Community member
Service Impact Summary
By the Numbers
| Category | Impact |
|---|---|
| Manuscripts Reviewed | 15+ |
| Active Reviews | 5+ in progress |
| Conference Presentations | 4 (Oral + Poster) |
| Workshop Presentations | 2 |
| Invited Talks | 3+ |
| Students Mentored | 150+ |
| Open-Source Projects | 10+ repositories |
| Research Grant Secured | $35,000 |
| Community Teaching Impact | 1,200+ students |
Commitment to Diversity & Inclusion
Women in Machine Learning
- NeurIPS WiML 2025: Presenter at Women in Machine Learning workshop
- Research Focus: Health equity through AI (women’s reproductive health project)
- Mentorship: Supporting underrepresented students in AI research
Global Health Equity
- Low-Resource NLP: Developing tools for Bengali clinical texts
- Cross-Lingual Models: Enabling AI access in underserved regions
- Open Science: Making research accessible globally
Future Service Goals
- Expand peer review activities to top-tier venues (NeurIPS, ICML, ACL)
- Organize workshops on efficient AI for low-resource settings
- Build mentorship programs for underrepresented groups in AI
- Create more open educational resources for global learners
For collaboration opportunities or review requests, please contact me at junayedhasan100@gmail.com.