Data Scientist & ML Researcher
Focus on Bioinformatics, Trustworthy AI, and Healthcare Applications
Focus on Bioinformatics, Trustworthy AI, and Healthcare Applications
Enthusiastic Data Scientist and Machine Learning specialist with extensive experience in Bioinformatics, Data Science, and AI. Proven expertise in developing and deploying machine learning models for complex challenges, particularly in healthcare, human activity recognition, and fairness-aware AI. Passionate about developing trustworthy, interpretable, and robust deep learning methodologies with applications in healthcare, biosignals, and multimodal data.
My paper "Fairness-Aware Representation Learning for ECG-Based Disease Prediction in Wearable Systems" has been accepted for presentation at the 6th EAI International Conference on Wearables in Healthcare in Isparta, Turkey.
My paper "Optimized Hybrid Machine Learning Framework for Real-Time Air Quality Prediction in IoT-Enabled Smart Cities" has been accepted for presentation at the International Conference on Data Science and Global Research 2026 in London.
My paper "Evolving Health Indicators in Bangladesh: A Comparative Analysis of 2019 and 2023 Health Bulletins Using Data Science Tools" has been accepted for presentation at the International Conference on Data Science and Global Research 2026 in London.
I have been welcomed as a reviewer for the 2025 Deep Learning Indaba Ideathon. I will be evaluating project submissions on the Baobab platform, contributing to the advancement of AI innovation in the community.
My paper "AI Chatbots for Dengue Symptom Triage in Bangladesh: A Decision Tree Classifier Approach" has been accepted for presentation at the International Conference on Data Science and Global Research 2026 in London.
University of Tulsa, Tulsa, OK
Worked on multimodal deep learning projects analyzing human immune responses, neuropsychiatric disorders, and healthcare AI. Integrated systems data, utilizing machine learning, network theory, and information theory to explore interaction effects.
AT&T
Gained insights into leadership and technology strategy, including human resources, finance, and technology. Analyzed market trends and contributed to innovative business solutions.
HP
Engaged in technology, sales, and analytics training, gaining insights into decision-making in a Fortune 500 company. Networked with executives and identified emerging trends in technology and innovation.
Boise State University, Boise, ID
Taught programming labs in Java and Data Structures, mentoring students in algorithms and debugging.
Bangladeshi Student Association, Boise State University
2018-2019
Organized cultural events, community gatherings, and activities to promote Bangladeshi culture and foster community among international students. Received Certificate of Appreciation from the Center for Global Education for contributions to the association.
HP Summer Scholars Program
July 2020
Competed in the HP Summer Scholars Bot-a-Thon, using Robotic Process Automation (RPA) tools to program and build bots to automate business processes. Received certificate of participation from HP Chief Transformation Officer.
Red Crescent Society, Jessore
Feb 2014 - Dec 2016 · 2 yrs 11 mosRegular blood donor and volunteer supporting humanitarian efforts and emergency response initiatives in the local community.
JAGO FOUNDATION
Feb 2014 - Jul 2014 · 6 mosContributed to educational and social development initiatives focused on community empowerment and youth education.
Sahosika (Works For Woman Education)
May 2014 - Jul 2014 · 3 mosSupported women's education initiatives and empowerment programs in the local community.
A novel framework combining adaptive gradient sparsification with CKKS homomorphic encryption to enable secure, communication-efficient collaborative learning on sensitive medical data with HIPAA compliance.
Key Results:
• 97.5% communication reduction (1277 MB → 32 MB per round)
• 89.5% accuracy (comparable to standard FL, p=0.32)
• Differential privacy with ε ≤ 1.0
• Scalable to 100+ medical institutions
Chatbot system addressing dengue fever and healthcare advice in low-resource settings.
Multi-sensor fusion and transformer models for wearable health monitoring.
Farjana Yesmin
Under Review at 5th IEEE Workshop on Pervasive and Resource Constrained AI (PeRConAI'26)
Topics: Federated Learning, Homomorphic Encryption, Healthcare Privacy, Gradient Sparsification
Read PreprintFarjana Yesmin, Nusrat Shirmin
To appear in Proceedings of the 6th EAI International Conference on Wearables in Healthcare 2025(EAI HEALTHCARE 2025), Conference got canceled
Topics: Fairness, Trustworthy AI, Healthcare
Read PreprintFarjana Yesmin
In Springer Lecture Notes in Networks and Systems. International Conference on Data Science and AI for Social Good and Responsible Innovation (DASGRI 2026)
Read PublicationFarjana Yesmin
In Springer Lecture Notes in Networks and Systems. International Conference on Data Science and AI for Social Good and Responsible Innovation (DASGRI 2026)
Read PublicationFarjana Yesmin, Nusrat Shirmin
In Springer Lecture Notes in Networks and Systems. International Conference on Data Science and AI for Social Good and Responsible Innovation (DASGRI 2026)
Read PublicationFarjana Yesmin
Artificial Intelligence eJournal, 8(4), 2025
Read PublicationFarjana Yesmin, Nusrat Shirmin
Under Review at ESANN 2026, Special Session on Neuro-Symbolic AI
Topics: Explainable AI, Trustworthy ML
Farjana Yesmin, Nusrat Shirmin
Under Review at ESANN 2026, Special Session on Neuro-Symbolic AI
Topics: Explainable AI
Read PreprintFarjana Yesmin
Under Review at Symposium on Intelligent Data Analysis (IDA 2026)
Topics: Fairness, Explainable AI
Read PreprintFarjana Yesmin, Nusrat Shirmin
Under Review at Symposium on Intelligent Data Analysis (IDA 2026)
Topics: Computer Vision, Medical Informatics
Farjana Yesmin, Nusrat Shirmin
Under Review at European Conference on Information Retrieval (ECIR 2026)
Topics: Explainable AI, NLP
Farjana Yesmin
In Revision at Scientific Reports (Nature Portfolio)
Topics: Healthcare, ML Applications
PhD in Computing
PhD in Computing (Transferred to TU)
B.Sc. in Computer Science & Engineering
I enjoy exploring diverse literary genres outside of my academic work:
Writing about ML research, data science projects, and academic insights
I've documented my travel experiences and cultural observations in leading Bangladeshi newspapers:
Participated in a Ramadan discussion panel organized by Education USA BD (USA Embassy)
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