Editorial Board

Editor-in-Chief

Dr. Fatema Tuz Zohora, Monash University, Malaysia (LinkedIn)

Dr. Fatema Tuz Zohora holds a PhD in Biomedical Science from Monash University, with an academic background from Tehran University of Medical Sciences and Bangladesh Agricultural University. With research experience in drug delivery and breast cancer, her expertise includes gene therapy, bio-imaging, and advanced molecular assays such as PCR, Western blotting, and ELISA. Her work focuses on unraveling novel cancer biomarkers and their molecular crosstalk within tumor microenvironments to identify new therapeutics. Dr. Zohora bridges the gap between complex biomedical research and data analytics, leveraging technical proficiency to drive data-informed innovations. She ensures that the journal is a premier platform for studies that integrate high-level academic theory with practical, real-world applications in the field of analytics.

Advisory Editors

  • Prof. Dr. Abd-Elaziem Farouk, Martin Luther University of Halle-Wittenberg, Germany (LinkedIn)
  • Dr. Hanem Ellethy, University of Queensland, Australia (LinkedIn)

Associate Editors

  • Dr. Fariha Hossain, Monash University, Malaysia (LinkedIn)
  • Dr. SK Tasthekur Hossain Kowshik, Sunway University, Malaysia
  • Dr. Yousif Ali Ahmed Suleiman, Kuwait-Al Ahmade-Al Adan Hospital, Kuwait (LinkedIn)
  • Dr. Abimbola Olaniran, Liverpool School of Tropical Medicine, United Kingdom (LinkedIn)
  • Dr. Nazmul Hasan Muzahid, San Diego State University, United States of America
  • Dr. Ayman Mustafa, Liwa University, United Arab Emirates

Technical Editors

  • MD Al Mamun, University Sains, Malaysia
  • MD Taslim Uddin, Jahangirnagar University, Bangladesh (LinkedIn)
  • Raquibul Islam, North-South University, Bangladesh (LinkedIn)
  • Mejbah Uddin, Jagannath University, Bangladesh (LinkedIn)

Call for Editorial Board Members

The International Journal of Applied Data Analytics (IJADA) invites scholars and practitioners to join its Editorial Board to enhance their professional profile and demonstrate leadership in the global data analytics community. Serving on the board underscores your commitment to advancing the methodology and real-world application of data science, artificial intelligence, and machine learning.This role offers a prestigious platform for scientific recognition while shaping the future of data-driven decision-making across organizational and societal contexts. We welcome experts who wish to strengthen their academic standing and contribute to the growth of the Wohllebe & Ross portfolio by upholding rigorous peer-review standards. Please express your interest to the editorial office of Wohllebe & Ross at editorialoffice@wr-publishing.org.

Technical Contact

Atilla Wohllebe, Wohllebe & Ross, Germany (LinkedIn)