Mr. Md Abrar Jahin, Human Computer Interaction, Best Researcher Award

Md Abrar Jahin at Okinawa Institute of Science and Technology Graduate University, Bangladesh

Profiles

Education:

Mr. Md Abrar Jahin pursued his B.Sc. in Industrial & Production Engineering at Khulna University of Engineering & Technology (KUET), Bangladesh, from January 2019 to March 2024. He graduated with a remarkable CGPA of 3.83/4.00, ranking in the top 5% of his class. Abrar was honored with the Dean’s Award for three consecutive years (2018-2019, 2019-2020, 2020-2021) for his exceptional academic performance. His thesis, titled “Supply Chain Backorder Prediction Using Interpretable Hybrid Quantum–Classical Neural Network,” reflects his deep engagement with cutting-edge research in his field.

Research Interests:

Mr. Abrar’s research interests span several advanced areas, including Machine Learning & Deep Learning, Natural Language Processing (NLP), eXplainable AI (XAI), Quantum Computing and Comparative Genomics. His work in these areas includes developing innovative models like Kolmogorov-Arnold Networks (KAN) and Physics-Informed Neural Networks (PINN), and applying them to practical problems in supply chain management, logistics, and demand forecasting.

Research Experience:

Visiting Researcher at the Physics and Biology Unit, Okinawa Institute of Science and Technology (OIST), Japan, since March 2024. Abrar is working under the supervision of Prof. Jonathan Miller on the project “Evolution of Strongly Conserved Sequence.”

Visiting Research Student at OIST from February 2023 to February 2024, contributing to research on conserved sequences and genomic alignments.

Researcher at the Advanced Machine Intelligence Research Lab (AMIRL), American International University-Bangladesh (AIUB), since March 2023, focusing on NLP and deep learning.

Research Lead at Research Camp 02, Scholarship School BD, Bangladesh, where he led a team on an AI project for COVID-19 detection from May 2022 to March 2023.

Research Intern at OIST, Japan, from October 2021 to March 2022, where he conducted research on sequence length distributions and optimized genomic data analysis workflows.

Research Intern at UiT – The Arctic University of Norway in May 2021, working on machine learning models for road state identification.

Honors and Awards:

Mr. Abrar has received numerous accolades, including being a Global Champion in the Smart Roads Hackathon 2021, Top 6 in Entrepret Season-2: Crafting Visions 2021, and a Global Nominee in the NASA Space Apps Challenge 2023. He has also been awarded the Dean’s Award at KUET three times and recognized as a Junior Research Fellow by SPARRSO in 2022.

Professional Skills:

Mr. Abrar is proficient in multiple programming languages and tools such as Python, C/C++, R, SQL, and SAS. He is skilled in Machine Learning, Data Analysis, and High-Performance Computing, and familiar with Quantum Machine Learning and XAI.

📖 Publications:

Big Data—Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques

Authors: Md Abrar Jahin, Md Sakib Hossain Shovon, Jungpil Shin, Istiyaque Ahmed Ridoy, MF Mridha
Journal: Archives of Computational Methods in Engineering
Year: 2024

A Natural Language Processing-Based Classification and Mode-Based Ranking of Musculoskeletal Disorder Risk Factors

Authors: Md Abrar Jahin, Subrata Talapatra
Journal: Decision Analytics Journal
Year: 2024

Analysis of Internet of things implementation barriers in the cold supply chain: An integrated ISM-MICMAC and DEMATEL approach

Authors: Kazrin Ahmad, Md Saiful Islam, Md Abrar Jahin, Muhammad Firoz Mridha
Journal: PloS one
Year: 2024

Optimizing Container Loading and Unloading through Dual-Cycling and Dockyard Rehandle Reduction Using a Hybrid Genetic Algorithm

Authors: Md Mahfuzur Rahman, Md Abrar Jahin, Md Saiful Islam, MF Mridha
Journal: arXiv preprint arXiv:2406.08534
Year: 2024

MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model

Authors: Md Abrar Jahin, Asef Shahriar, Md Al Amin
Journal: arXiv preprint arXiv:2405.15598
Year: 2024

Early Academic Pursuits

Dr. Agezegn Asegid Mekonnen embarked on his academic journey in nursing, culminating in a Ph.D. fellowship at Haramaya University since 2018. His doctoral research, titled "Nurse Educators Clinical Skill Competency and Teaching Skills among University and Medical School in Ethiopia: A National Study," reflects his commitment to advancing nursing education in the country. Prior to his Ph.D., he earned an MSc in Adult Health Nursing from Jimma University in 2010, exploring factors influencing job satisfaction and turnover among nurses in Sidama Zone public health facilities. Dr. Asegid began his academic pursuits with a BSc in Nursing from Jimma University in 2006.

Professional Endeavors

Dr. Asegid possesses a diverse skill set acquired through his academic and professional experiences. His expertise includes effective teaching, mentorship, instructional design, clinical teaching, project management, curriculum development, grant writing, qualitative research, and nursing care standard monitoring. Proficient in statistical software, he has demonstrated competence in Stata, SPSS, ATLAS.ti, Comprehensive Metanalysis (CMA), and others.

Contributions and Research Focus

As a dedicated educator, Dr. Asegid has held key roles in various academic institutions, including Wachemo University and Hawassa University. His responsibilities ranged from coordinating nursing programs, overseeing faculty, and conducting research to contributing to curriculum development and ensuring the highest standards of education. His research contributions have been published in reputable journals, focusing on topics such as nurse educators' clinical skill competency, simulation-based teaching, and the lived experiences of HIV-positive mothers.

Accolades and Recognition

Dr. Asegid's commitment to nursing education and professional development is evident through his roles as Regulation & Capacity Building Advisor and CPD Director at the Ethiopian Nurses Association. His active participation in national committees, such as the Continue Professional Development Standing Committee and the National Surgical Safety Taskforce, showcases his dedication to improving healthcare standards in Ethiopia.

Impact and Influence

His leadership roles in regulation, capacity building, and national committees have made a substantial impact on nursing education and practice in Ethiopia. Dr. Asegid's involvement in the development of guidelines, licensure examinations, and accreditation processes has contributed to the enhancement of nursing services' quality and regulation.

Legacy and Future Contributions

Dr. Asegid's legacy is characterized by his contributions to the Ethiopian healthcare system, evident in his involvement in national committees, research publications, and mentorship. His dedication to continuous professional development, digital learning solutions, and ethical considerations in clinical trials reflects his forward-thinking approach. Dr. Asegid's future contributions are anticipated to further shape nursing education, research, and practice in Ethiopia and beyond.

In summary, Dr. Agezegn Asegid Mekonnen's academic journey, professional endeavors, research focus, accolades, and future aspirations collectively underscore his significant impact on the field of nursing in Ethiopia.