Abdus Salam

About Me

I am Abdus Salam, a Software Engineer specializing in Artificial Intelligence at MyMedicalHub International Ltd. and a Research Assistant at Qatar University. I design and develop AI-driven solutions for healthcare, while also advancing research in medical image analysis and smart agriculture.

I hold a B.Sc. in Electrical & Computer Engineering from Rajshahi University of Engineering & Technology (RUET), where I built a strong foundation in computer programming, neural networks, and machine learning. I am currently pursuing an M.Sc. in Computer Science & Engineering at RUET, focusing on advanced artificial intelligence, biometrics, and image processing, with expected completion in March 2025.

My research interests span Artificial Intelligence, Machine Learning, Computer Vision, Biomedical Imaging, Smart Agriculture, and Explainable AI. I have co-authored multiple peer-reviewed publications in IEEE Access, Frontiers in Plant Science, and the International Journal of Imaging Systems and Technology.

Outside of my professional and academic work, I have a strong background in competitive programming, achieving top rankings in national contests. This problem-solving mindset drives my approach to building innovative, practical, and impactful AI solutions.

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Research Interests

Artificial Intelligence
Machine Learning
Computer Vision
BioMedical
Image Processing
Smart Agriculture
Cyber Security
Signal Processing

Recent News

Stay updated with my latest achievements, publications, and career milestones

Joined MyMedicalHub International as AI Engineer

Career
August 1, 2024

Started a new role as Software Engineer - Artificial Intelligence at MyMedicalHub International Ltd., focusing on enterprise-grade AI applications for medical professionals.

New Research Paper Published in IEEE Access

Publication
June 15, 2024

Our latest work on mulberry leaf disease detection using CNN-based smart Android application has been published in IEEE Access.

View Details

Continuing Research at Qatar University

Research
January 1, 2024

Continuing my research collaboration with Qatar University Machine Learning Group, working on medical image analysis and smart agriculture solutions.

Showing 3 of 3 news items

Education

Rajshahi University of Engineering & Technology logo

MSc Engg. in Computer Science & Engineering

Ongoing

Rajshahi University of Engineering & Technology

2023–Present
Expected: March 2025

Relevant Courses:

Machine LearningAdvanced Artificial IntelligenceBiometricsAdvanced Image ProcessingSoftware Project Management
Rajshahi University of Engineering & Technology logo

BSc in Electrical & Computer Engineering

Rajshahi University of Engineering & Technology

2018–2023

Relevant Courses:

Computer ProgrammingSoftware EngineeringTime Series AnalysisComputer Networks & ArchitectureNeural Networks & Machine Learning

Professional Experience

Software Engineer – Artificial Intelligence

Current

MyMedicalHub International Ltd.

Aug 2024 - Present
Dhaka, Bangladesh

Key Responsibilities:

  • Designing and developing enterprise-grade AI applications for medical professionals.
  • Implementing machine learning models to streamline clinical workflows and data analysis.

Research Assistant (Remote, Full-Time)

Qatar University Machine Learning Group

Aug 2023 - Dec 2024
Doha, Qatar

Key Responsibilities:

  • Developed deep learning models for medical image classification and abnormality detection.
  • Built ML solutions for smart agriculture, including crop disease prediction and yield optimization.

Publications

Peer-reviewed research in AI, machine learning, and biomedical applications

AllJournalConferenceChapter

An Ensemble Deep Learning Approach for Accurate Urinary Sediment Detection Using YOLOv9e and KD-YOLOX-ViT

Mansura Naznine, Abdus Salam, Muhammad Mohsin Khan, Sadia Farhana Nobi, Muhammad E. H. Chowdhury

IEEE Access(2025)
Journal
DOI: 10.1109/ACCESS.2025.3577959
View Paper

Hybrid Neural Networks for Precise Hydronephrosis Classification Using Deep Learning

Abdus Salam, Mansura Naznine, Muhammad E. H. Chowdhury, Saidanvar Agzamkhodjaev, Ali Tekin, Santiago Vallasciani, Elias Ramírez-Velázquez, Tariq O. Abbas

Urology(2025)
Journal
DOI: 10.1016/j.urology.2025.08.005
View Paper

Intelligent waste management: a comprehensive review of machine learning and deep learning applications in advanced recycling

Adiba Tabassum Chowdhury, Muhammad E. H. Chowdhury, Md. Sakib Bin Islam, Mehrin Newaz, Abdus Salam, Faizul Sayem, Mazhar Hasan-Mia, Mohammad Nashbat, Molla Ehsanul Majid, Amith Khandakar, Saad Bin Abul Kashem, Azad Ashraf

Harnessing Automation and Machine Learning for Resource Recovery and Value Creation (Elsevier), Chapter 18(2025)
Chapter
DOI: 10.1016/B978-0-443-27374-2.00018-2
View Paper

Multicentered Data Based Polyp Detection Using Colonoscopy Images Using DNN

Abdus Salam, Moajjem Hossain Chowdhury, M. Murugappan, Muhammad E. H. Chowdhury

International Journal of Imaging Systems and Technology(2025)
Journal
DOI: 10.1002/IMA.70123
View Paper

Waste classification into plastics, industrial, domestic, and agriculture waste

Abdus Salam, Rifah Tasnia, Saad Bin Abul Kashem, Azad Ashraf, Ali Kunju, Molla Ehsanul Majid, Mazhar Hasan-Zia, Mohammad Nashbat, Amith Khandakar, Muhammad E. H. Chowdhury

Harnessing Automation and Machine Learning for Resource Recovery and Value Creation (Elsevier), Chapter 4(2025)
Chapter
DOI: 10.1016/B978-0-443-27374-2.00004-2
View Paper

Advanced Rice Leaf Disease Detection Using AgriRover: Enhancing Agricultural Monitoring and Crop Health Management

Oishi Jyoti, Abdus Salam, Ziharul Islam Rifath, Sazid Hasan, Md. Abu Ismail Siddique

PEEIACON 2024(2024)
Conference
DOI: 10.1109/PEEIACON63629.2024.10800437
View Paper

Showing 6 of 12 all publications

Get In Touch

Interested in collaboration, research opportunities, or discussing AI innovations? I'd love to hear from you.

Contact Information

Location

Rajshahi, Bangladesh

Connect with me

Let's Collaborate

Research Collaboration

Open to collaborative research in AI, machine learning, computer vision, and biomedical applications.

Consulting & Development

Available for AI consulting and development of enterprise-grade machine learning solutions.

Speaking & Mentoring

Interested in speaking at conferences and mentoring aspiring AI researchers and engineers.