Adib Zaman , PhD

Dr. Muhammad Adib Uz Zaman serves as a tenure-track assistant professor within the School of Information Technology (IT) at the University of Cincinnati (UC). His journey at UC begins with a job as a visiting faculty member in the School of IT commencing from Fall 2022. Prior to his career at UC, Dr. Zaman participated as a postdoctoral research associate in the Pharmacotherapy and Translational Research (PTR) department at the respected University of Florida.

Dr. Zaman's academic ambition led him through a thorough educational trajectory. He received his Bachelor of Science, Master of Science, and Doctor of Philosophy degrees in Industrial Engineering from Bangladesh University of Engineering and Technology, Northern Illinois University, and Texas Tech University, respectively, culminating in 2015, 2018, and 2021. His academic trajectory displays a commitment to improving knowledge and skill.

With a wide educational background and considerable academic experience, Dr. Zaman's research interests cover the disciplines of data science, bioinformatics and operations research. He has proven skills in these areas by his engagement in several projects spanning engineering, information technology, and optimization methodologies. Currently, his concentration lies in researching the interface of artificial intelligence (AI) and Electronic Health Record (EHR) data analytics, a cutting-edge topic with tremendous potential for revolutionary impact.

Dr. Zaman's devotion to research and innovation is obvious in his active engagement with ongoing initiatives and his persistent quest of knowledge. Those interested in digging deeper into his research pursuits are urged to explore his dedicated research webpage, where his contributions and conclusions are made accessible to the broader academic community. Through his work, Dr. Zaman contributes considerably to the progress of knowledge and technology in the domains of IT and data science. To know more about his research please visit his ORCID or Researchgate profiles.

PhD, Industrial Engineering: Texas Tech University Lubbock, TX, 2021 (Applied operations research, data science, statistical modeling)

MS, Industrial and Systems Engineering: Northern Illinois University Dekalb, IL, 2018 (Applied operations research, bi-level optimization)

B.Sc. Engg. in Industrial and Production Engineering: Bangladesh University of Engineering and Technology Dhaka, Bangladesh, 2015 (Operations research)

My primary research focus lies in the intersection of big data analytics and healthcare informatics, particularly the application of machine learning and deep learning techniques. The continuous evolution of technology enables the acquisition of vast and reliable electronic healthcare databases. These databases serve as a valuable resource for developing automated models aimed at aiding healthcare professionals in decision-making processes. In recent years, fully automated models have emerged, offering physicians insights and predictions prior to medical procedures. Leveraging decades of patient data encompassing various health conditions and outcomes, electronic health records serve as rich repositories for constructing predictive models. These models, ranging from readmission risk assessments to mortality predictions, capitalize on the wealth of information stored in electronic health records. By harnessing big data analytics and machine learning methodologies, my research seeks to enhance healthcare delivery by providing timely insights into patient outcomes and prognosis. Ultimately, this work aims to optimize patient care, improve clinical decision-making, and contribute to the advancement of healthcare practices.

09-01-2021 -08-12-2022 Postdoctoral Research Associate, I worked on projects related to EHR data analytics, University of Florida, Gainesville, FL

Grant: #5K01HL141690-03 Investigators:Dr. Caitrin W. McDonough 06-01-2018 -05-31-2022 National Institute of Health (NIH) Integrative Data Approaches for Resistant Hypertension Identification and Prediction Role:Postdoctoral research associate Completed Type:Grant Level:National

Investigators:Adib Zaman, Ph.D., Isaac Kofi Nti, Ph.D., Owusu Nyarko-Boateng, Ph.D. 10-09-2023 -08-01-2024 UC office of the provost Faculty Development Grant: Strategic Collaborative Faculty Team Project Award Role:Lead $10,038 Active Type:Grant Level:University

Peer Reviewed Publications

Zaman, M.A.U. (2024. ) Assessing Different Diagnoses in MIMIC-IV v2.2 and MIMIC-IV-ED Datasets.Archives of Proteomics and Bioinformatics, , 4 (1 ) ,1-5 More Information

Nti, I. K., Zaman, A., Nyarko-Boateng, O., Adekoya, A. F., and Keyeremeh, F. (2023. ) A predictive analytics model for crop suitability and productivity with tree-based ensemble learning.Decision Analytics Journal., , 8 (2023 ) ,100311 More Information

Zaman, M.A.U. (2022. ) On the applications of machine learning algorithms to predict hospital readmission for heart failure patients .BAOJ Biotechnology, , 6 (1 ) ,1003-1006

Zaman, M.A.U., Du, D. (2022. ) A Review on Atrial Fibrillation (Computer Simulation and Clinical Perspectives).Hearts, , 3 (1 ) ,20-37 More Information

Zaman, M.A.U., Du, D. (2021. ) A Stochastic Multivariate Irregularly Sampled Time Series Imputation Method for Electronic Health Records.Biomedinformatics, , 1 (3 ) ,166-181 More Information

Duttagupta, A., Islam, M.M., Rabiei Hosseinabad,E., and Zaman, M.A.U. (2021. ) Corporate Social Responsibility And Sustainability: A Perspective From The Oil And Gas Industry.Journal of Nature, Science & Technology, , 2 (2021 ) ,22-31 More Information

Zaman, M. A. U., and Hosseinabad, E. R. (2021. ) Production flow improvement and value stream mapping in a lean manufacturing world. Advances.Global Journal of Engineering and Technology, , 6 (1 ) ,035-050 More Information

Zaman, M. A. U., Sooriyaarachchi, D., Zhou, Y. G., Tan, G. Z., and Du, D. (2020. ) Modeling the density gradient of 3D nanofiber scaffolds fabricated by divergence electrospinning.Advances in Manufacturing, , 9 ,414-429 More Information

Zaman, M. A. U., and Hosseinabad, E. R. (2020. ) On the Uses of LP and NLP to Formulate Game Theory Problems: A Brief Review. Technium: Romanian Journal of Applied Sciences and Technology, , 2 (4 ) ,80-86

Hosseinabad, E. R., and Zaman, M. A. U. (2020. ) A Brief Review on Cellular Manufacturing and Group Technology. Research Journal of Management Reviews., , 5 (1 ) ,1-20

Zaman, M. A. U. (2019. ) On the Reliability-Based Design Optimization (RBDO) of A Speed Reducer. International Journal of Engineering Innovations and Research., , 8 (1 ) ,14-22

Zaman, M. A. U., Parmer, A. B., and Naghdi, S. (2018. ) Design of Experiments on Grass Growth in Controlled Environment. MPRA Repository, ,

T. Kumar, R. Mustafizur, Zaman, M.A.U., M. G. Uddin (2018. ) Ergonomic Design of Table and Chair based on QFD and Anthropometric Measurement and improved Facility Layout .Ergonomics International Journals, , 2 (3 ) ,

Sarwar, F., and Zaman, M. A. U. (2017. ) A comparative study on the application of evolutionary algorithms to multi-objective, multi-stage supply chain network design. .International Journal of Supply Chain and Inventory Management, , 2 (2 ) ,143-161

Zaman, M.A.U. (2024. ) An application of deep learning-based method (U-net) for left atrial segmentation from magnetic resonance imaging (MRI) .Journal of Clinical and Medical Images Case Reports, , 4 (1 ) ,1640

(MSIT Review Panel ) Member Type:Departmental Service Level:Department 09-12-2022 -09-17-2022

Ohio Cyber Range Institute Coordinator Type:Service to Professional Associations Level:State 10-12-2022 -10-12-2022

School of Information Technology (Ad-hoc MSIT Application review panel ) Member Type:Departmental Service Level:Department 01-17-2022 -02-05-2023

College of Education, Criminal Justice and Human Services (College RPT ) Committee Member Type:University/College Service Level:College 08-15-2023 -08-12-2024

Plunk Foundation Other Type:Community Service Level:Regional

Bangladeshi Student Community (Executive Committee ) Faculty Sponsor Type:Service to Student Groups Level:University 08-15-2023

Advanced Storage Technologies Level:Graduate

Data-driven Cybersecurity Level:Graduate

System Administration Level:Both