Md. Sakib Bin Alam | Medical Imaging | Best Researcher Award

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Mr. Md. Sakib Bin Alam | Medical Imaging | Best Researcher Award

Mr. Md. Sakib Bin Alam at Pt staff University of Information Technology and Sciences, Bangladesh

👨‍🎓  Professional Profiles

 🌱 Early Academic Pursuits

Md. Sakib Bin Alam began his academic journey with a B.Sc. in Computer Science and Engineering from the International Islamic University Chittagong (IIUC), where he achieved an impressive GPA of 3.95/4.0. This strong foundation set the stage for his advanced studies in Data Science and Artificial Intelligence at the Asian Institute of Technology (AIT) in Thailand, culminating in a thesis focused on sustainable agricultural decision-making through machine learning techniques.

🏢 Professional Endeavors

Sakib has transitioned seamlessly into academia as an Assistant Professor at the University of Information Technology and Sciences (UITS) in Bangladesh, where he is not only delivering lectures but also supervising student research. His acting role as the Head of the IT department reflects his commitment to aligning educational practices with current technological trends and fostering research initiatives.

🧑‍🔬 Contributions and Research Focus

Sakib’s research interests lie at the intersection of deep learning, data science, and healthcare. His work emphasizes the integration of advanced machine learning techniques to solve complex real-world problems, particularly in health informatics and environmental contexts. His thesis on sustainable agricultural decision-making showcases his dedication to creating impactful applications that improve quality of life.

📈 Impact and Influence

His research output is substantial, with over 377 citations and an h-index of 6, underscoring his influence in the academic community. Notable publications in high-impact journals demonstrate his expertise in areas such as the Internet of Medical Things (IoMT) and deep learning modeling techniques, contributing significantly to the fields of AI and healthcare.

📚 Academic Citations

Sakib has authored several peer-reviewed articles and conference proceedings, including pivotal works in journals like Information Fusion and Artificial Intelligence Review. His growing citation count reflects the relevance and impact of his contributions to current research discussions.

🛠️ Technical Skills

Sakib possesses a robust skill set in programming languages and tools essential for data science and machine learning. Proficient in Python, C/C++, and SQL, he leverages libraries such as Pandas, NumPy, and PyTorch to develop innovative solutions. His experience in creating databases and utilizing data visualization tools like Tableau enhances his analytical capabilities.

👩‍🏫 Teaching Experience

With extensive teaching experience across various institutions, including his role as a Teaching Assistant at AIT and as an Instructor at the Asian University for Women, Sakib has impacted students from diverse backgrounds. He emphasizes critical thinking and problem-solving, equipping students with the skills needed for real-world challenges.

🌟 Legacy and Future Contributions

Looking ahead, Sakib aims to expand his research in AI applications within healthcare and environmental contexts. His dedication to creating sustainable solutions reflects a commitment to enhancing societal well-being. As he continues to mentor students and engage in collaborative research, his contributions are poised to leave a lasting legacy in both academia and industry.

 

📖 Top Noted Publications 

VG-CALF: A vision-guided cross-attention and late-fusion network for radiology images in medical visual question answering

Authors: Aiman Lameesa, Chaklam Silpasuwanchai, Md. Sakib Bin Alam

Journal: Neurocomputing

Year: 2024

Role of metaheuristic algorithms in healthcare: a comprehensive investigation across clinical diagnosis, medical imaging, operations management, and public health

Authors: Aiman Lameesa, Mahfara Hoque, Md. Sakib Bin Alam, Shams Forruque Ahmed, Amir H Gandomi

Journal: Journal of Computational Design and Engineering

Year: 2024

Towards a secure 5G-enabled Internet of Things: A survey on requirements, privacy, security, challenges, and opportunities

Authors: Md. Sakib Bin Alam

Journal: IEEE Access

Year: 2024

Deep learning modelling techniques: current progress, applications, advantages, and challenges

Authors: Shams F. Ahmed, Md. Sakib Bin Alam, et al.

Journal: Artificial Intelligence Review

Year: 2023

Industrial Internet of Things enabled technologies, challenges, and future directions

Authors: Shams F. Ahmed, Md. Sakib Bin Alam, et al.

Journal: Computers and Electrical Engineering

Year: 2023

Bank Deposit Prediction Using Ensemble Learning

Authors: Md. Sakib Bin Alam

Journal: Artificial Intelligence Evolution

Year: 2021

Birth Mode Prediction Using Bagging Ensemble Classifier: A Case Study of Bangladesh

Authors: Md. Sakib Bin Alam

Journal: International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)

Year: 2021

Pushpa-Medical Image Processing, Biomedical Engineering-Best Researcher Award

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Author Profile

Google Scholar

Early Academic Pursuits

Mrs. Pushpa B embarked on her academic journey with a Bachelor's in Electronics and Instrumentation from St. Peter’s Engineering College, affiliated with Anna University, in 2007. Her dedication to the field was evident as she secured a commendable 73%. Building upon this foundation, she pursued an M.Tech in Electronics and Control from SRM University, Chennai, where she achieved a CGPA of 6.99 in 2010. The continuous academic excellence led her to undertake an MBA in Health Service Management from Anna University in 2023. Currently, she is on the verge of completing her Ph.D. in Medical Image Processing & Artificial Intelligence from Annamalai University, with her thesis submitted.

Professional Endeavors

With an illustrious academic background, Mrs. Pushpa B transitioned into academia, where she has made significant contributions. She held the position of Assistant Professor in various esteemed institutions such as B.S. Abdur Rahman Crescent Institute of Science and Technology and Velammal Institute of Technology. During her tenure, she shouldered numerous responsibilities, including curriculum development, university department audit coordination, and acting as a placement coordinator.

Contributions and Research Focus

Mrs. Pushpa B's expertise spans across diverse fields, including Analog Electronic Circuits, Digital Signal Processing, Machine Learning, and more. Her research primarily revolves around Medical Image Processing, Artificial Intelligence, and Bio-medical Instrumentation. Notably, she has undertaken projects like "Detection of Startle Type Epilepsy using Machine Learning Technique" at Global Medical Hospital, Chennai. Her research is widely recognized, with numerous international and national publications and conference presentations to her credit.

Accolades and Recognition

Mrs. Pushpa B's contributions to the academic and research communities have garnered her several accolades. She has published patents, notably one on "Intelligent estimation of liver fat and its stages by using DICOM." Furthermore, her publications in renowned journals like Technology and Health Care and Measurement Sensors, among others, testify to her expertise and recognition in her field.

Impact and Influence

Mrs. Pushpa B's influence extends beyond her academic and research endeavors. She has organized workshops, training programs, and conferences that have facilitated knowledge dissemination and skill enhancement for students, faculty, and industry professionals alike. Her expertise as a reviewer for esteemed platforms like Taylor & FrancisOnline, Elsevier, and IEEE Xplore further amplifies her impact in the scholarly community.

Legacy and Future Contributions

As a dedicated academician and researcher, Mrs. Pushpa B's legacy is marked by her commitment to advancing knowledge in her specialized domains. Her future contributions are anticipated to further bridge the gap between technology and healthcare, particularly in leveraging AI and machine learning techniques for enhanced medical diagnostics and treatments. With her relentless pursuit of excellence, she is poised to inspire future generations of researchers and academicians in the realms of Medical Image Processing and Artificial Intelligence.

In conclusion, Mrs. Pushpa B's academic pursuits, professional endeavors, and contributions to the field of Medical Image Processing and Artificial Intelligence stand as a testament to her passion, expertise, and commitment. Her multifaceted accomplishments underscore her potential to drive significant advancements and make lasting contributions to academia and healthcare.

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