Reducing Energy Usage and Cost for Environmentally Conscious Cooling Infrastructure
ICO 2023doi:10.1007/978-3-031-50330-6_26
Summary
MD JAKIR HOSSAIN is an MS in Computer Science and Engineering (Data Science) with research and development experience in Machine Learning, Deep Learning, and Computer Vision. His research focuses on medical image analysis, sentiment analysis, deceptive review detection, and NLP for low-resource languages. He has experience as a Graduate Teaching Assistant and as a Junior AI Engineer, contributing to model design, training, and deployment while integrating Explainable AI techniques to improve model trust.
Seeking PhD opportunities
I am actively seeking PhD opportunities in Machine Learning, Computer Vision and Medical Image Analysis. I am interested in positions offering research collaboration or funded PhD positions, particularly those focusing on explainability, transfer learning, and practical deployment of models in healthcare.
Experience
July 2023 – June 2025
Junior AI Engineer
Algoramming, Dhaka, Bangladesh (Remote)
Contributed to the development and deployment of AI solutions, built ML pipelines, trained and optimized models, and collaborated with cross-functional teams to integrate models into production.
June 4, 2023 – Present
Graduate Teaching Assistant
Department of Mathematics, Physics, and Statistics — East West University
Assisting faculty with tutorials, grading, mentoring students, and supporting course material and assessment development.
February 2024 – February 2025
Research Assistant
East West University (Supervisor: Professor Dr. Ahmed Wasif Reza)
Supporting research projects in machine learning and data analysis and contributing to publications and model development.
Publications
Deciphering Handwritten Text: A Convolutional Neural Network Framework for Handwritten Character Recognition
ICO 2023doi:10.1007/978-3-031-36246-0_18
Developing a Bangla Handwritten Text Recognition Framework using Deep Learning
ICCIT 2023doi:10.1109/ICCIT60459.2023.10441107
Smart Spectacles for The Deaf with Voice to Text and Sign Language Integration
ICCIT 2023doi:10.1109/ICCIT60459.2023.10441555
Detection of Deceptive Hotel Reviews Through the Application of Machine Learning Techniques
CIIR 2023doi:10.1007/978-981-97-3594-5_38
Detecting Crop Pests and Diseases Through Deep Learning Techniques for Improved Yields
CIIR 2023doi:10.1007/978-981-97-3594-5_39
Enhancing Skin Cancer Detection Through Automated Classification Using Convolutional Neural Networks
ICO 2023doi:10.1007/978-3-031-73318-5_10
Utilizing Deep Learning for Detecting Malaria in Blood Cell Images
COMPAS 2024doi:10.1109/COMPAS60761.2024.10796987
Developing a Model for Predicting Multiple Sclerosis Progression Using MRI Scans
COMPAS 2024doi:10.1109/COMPAS60761.2024.10796262
Dermatological Disease Detection Using Image Processing and Deep Learning
COMPAS 2024doi:10.1109/COMPAS60761.2024.10797116
Enhancing Fake News Detection Through Machine Learning and Transfer Learning Methods
ICDMIS 2024doi:10.1007/978-981-96-6053-7_28
Deciphering Textual Emotions: Sentiment Analysis with Comprehensive Improvement Through Transfer Learning
ICDMIS 2024doi:10.1007/978-981-96-6060-5_8
Detection of Sugarcane Leaf Diseases Using Custom CNN and ResNet50
ICIDA 2024doi:10.1007/978-981-96-6303-3_20
Earthquake Magnitude Prediction: A Survey on Machine Learning Models, Datasets, Techniques, Challenges, and Future Directions
ICIDA 2024doi:10.1007/978-981-96-6303-3_42
Deep Learning-Based Classification of Coconut Leaf Diseases Using Optimized CNN Models
QPAIN 2025doi:10.1109/QPAIN66474.2025.11172002
Measuring Accuracy of Different Machine Learning Algorithms on Expectations and Experiences of University Students
QPAIN 2025doi:10.1109/QPAIN66474.2025.11171720
Technical Skills
AI & Data Science
Machine LearningDeep LearningComputer VisionNatural Language ProcessingExplainable AI (XAI)TensorFlowPyTorchScikit-learn
Data & Tools
PandasNumPySciPyPySparkOpenCVscikit-image
Development & Databases
PythonJavaCC++PHPDartSQLDjangoFlaskFirebaseMySQLSQLite
Education
MS in Computer Science and Engineering
East West University (EWU)
Major: Data Science
Jan 2024 – Feb 2025
GPA: 3.75/4.0
B.Sc. in Computer Science and Engineering
East West University (EWU)
Major: Intelligence System and Data Science
Jan 2019 – May 2023
GPA: 3.53/4.0
Research & Projects
Master’s Thesis
Diabetic Retinopathy Detection using Attention-Enhanced Transfer Learning and Explainable AI Techniques
Supervisor: Dr. Mohammad Rifat Ahmmad Rashid (EWU). Proposed an automated system for diabetic retinopathy detection using attention-enhanced transfer learning and Grad-CAM based explainability to enhance clinical interpretability and generalization across datasets.
Capstone Project
Developing a Bangla Handwritten Text Recognition Framework using Deep Learning (2022–2023)
Supervisor: Dr. Mohammad Rezwanul Huq. Developed and optimized deep neural networks to convert handwritten Bangla text into a digital format with improved recognition accuracy.
Academic Affiliations
EWU Computer Programming Club (EWUCoPC)
Vice-President
East West University Sports Club
SGM
Awards
Dean's List
Issued by East West University
Nov 2024