Bilal Khan | Engineering and Technology | Research Excellence Award

Dr. Bilal Khan | Engineering and Technology | Research Excellence Award

Department of Computer Science, University of Engineering and Technology, Mardan | Pakistan

Dr. Bilal Khan is a research‑driven academic with a Ph.D. in Computer Software Engineering and more than 15 years of university‑level teaching and research experience across leading higher‑education institutions in Pakistan, including University of Engineering & Technology, Mardan; City University of Science and Information Technology, Peshawar; Northern University, Nowshera; University of Swabi; and National Institute of Technology, Akora Khattak. His scholarly work focuses on Machine Learning, Data Science, Natural Language Processing, Healthcare & Bioinformatics Analytics, and Software Engineering, where he has authored a substantial portfolio of international journal publications indexed in venues such as IEEE Access and Journal of Healthcare Engineering. Dr. Khan has played key roles in curriculum development, postgraduate supervision, and academic coordination, and serves as a reviewer for high‑impact journals including IEEE Access, ACM Transactions on Healthcare, and Artificial Intelligence. His interdisciplinary work bridges theory and practice, and he remains actively engaged in collaborative research, external grant pursuits, and innovative solutions addressing real‑world challenges.

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Featured Publications

An empirical evaluation of machine learning techniques for chronic kidney disease prophecy
Khan, B., Naseem, R., Muhammad, F., Abbas, G., Kim, S., 2020.

Software defect prediction for healthcare big data: an empirical evaluation of machine learning techniques
Khan, B., Naseem, R., Shah, M.A., Wakil, K., Khan, A., Uddin, M.I., Mahmoud, M., Journal of Healthcare Engineering, 2021.

An Overview of ETL Techniques, Tools, Processes and Evaluations in Data Warehousing
Khan, B., Jan, S., Khan, W., Chughtai, M.I., Journal on Big Data, 6, 2024.

Performance assessment of classification algorithms on early detection of liver syndrome
Naseem, R., Khan, B., Shah, M.A., et al., Journal of Healthcare Engineering, 2020.

Exploring the landscape of automatic text summarization: a comprehensive survey
Khan, B., Shah, Z.A., Usman, M., Khan, I., Niazi, B., IEEE Access, 11,  2023.

Mahdi Sadeghi Pour Marvi | Agricultural Science and Innovation | Best Researcher Award

Dr. Mahdi Sadeghi Pour Marvi | Agricultural Science and Innovation | Best Researcher Award

Agricultural and Natural Resources Research and Education Center of Tehran Province | Iran

Dr. Mahdi Sadeghi Pour Marvi is a molecular and soil microbiologist whose research spans microbial ecology, soil biology, genomics and ecosystem biodiversity. He earned his Ph.D. in Soil Biology & Biotechnology from the University of Tehran, following an M.Sc. in Soil Science from Ferdowsi University of Mashhad. Over more than a decade of academic work, he has investigated the biodiversity and functional capabilities (e.g. sulfur oxidation) of native chemolithotrophic microorganisms in agricultural and mining soils, published on the diversity of sulfur-oxidizing bacteria in copper mine ecosystems, and studied plant-microbe interactions under stress conditions. His methodological skills include molecular techniques (DNA/RNA extraction, PCR, DGGE), bioinformatics (phylogenetics, sequence alignment), and statistical & GIS modeling (SAS, SPSS, PAST, ArcGIS).  He has 9- citations, h-index-1, to date, with ongoing research contributions in microbial and soil ecology.  In summary, Dr. Sadeghi’s expertise bridges microbiology, soil ecology and bioinformatics, making him a valuable contributor to environmental and ecosystem research.

Profiles :  Scopus | Orcid

Featured Publications

Sadeghi Pour Marvi, M. (2017). Isolation and identification of sulfur-oxidizing bacteria in agricultural soil and evaluating sulfur oxidation yield. Biological Journal of Microorganism, 21(1), 113–125. University of Isfahan, Iran. ISSN: 2322-5173.

Sadeghi Pour Marvi, M. (2017). Operational evaluation of sulfur-oxidizing bacteria yield isolated from copper mine soil and their molecular identification based on 16S rRNA sequence. Journal of Cellular and Molecular Research (Iranian Journal of Biology). University of Tehran.

Sadeghi Pour Marvi, M. (2016). The diversity of sulfur-oxidizing bacterial populations at an Iranian copper mine and the surrounding agricultural soils. Applied Ecology and Environmental Research, 14(3), 509–533.* ALÖKI Kft., Budapest, Hungary.

Sadeghi Pour Marvi, M. (2012). Effect of inoculation with VA mycorrhiza and Azotobacter on grain yield, LAI and protein of wheat under drought stress conditions. International Journal of Agriscience, 2(6), 466–476.* ISSN 2228-6322.

Sadeghi Pour Marvi, M. (2011). Thermoplastic biopolymer production (PHB, Poly 3-Hydroxybutyric acid) using secondary carbon source bioreactor based on nitrogen fixation biotechnology. Bioresearch Bulletin, 5, 284–298.