Prof. AHM Nurun Nabi | Genetic Analyses | Outstanding Scientist Award

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Prof. AHM Nurun Nabi | Genetic Analyses | Outstanding Scientist Award

Professor at Genetic Analyses, University of Dhaka, Bangladesh

Professor A.H.M. Nurun Nabi is a distinguished scholar in the Department of Biochemistry and Molecular Biology at the University of Dhaka, Bangladesh. His expertise lies in protein expression, protein-protein interactions, and cell culture techniques. He has conducted extensive research on health hazards in various occupational settings and arsenic toxicity in the Bangladeshi population. Prof. Nabi has received several scholarships and awards for his contributions to biochemistry research.

Professional Profiles:

Academic Qualifications:

Prof. AHM Nurun Nabi completed his Doctor of Philosophy in Biochemistry from the laboratory of Animal Biochemistry, United Graduate School of Agricultural Science, Gifu University, Japan, in 2006. Prior to this, he obtained a Master of Philosophy in Biochemistry from the Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh, in 2000. His academic journey began with a Master of Science in Biochemistry from the same department at the University of Dhaka in 1996, where he graduated with First class honors. He also holds a Bachelor of Science in Biochemistry from the University of Dhaka, earned in 1995 with First class honors. Prof. AHM Nurun Nabi’s educational foundation includes a Higher Secondary Certificate in Science from Rajshahi College, Rajshahi, in 1992, and a Secondary School Certificate in Science from Rajshahi Collegiate School, Rajshahi, in 1990, both achieved with First division distinctions.

Professional:

Prof. AHM Nurun Nabi has a rich history of professional attachments in the field of biochemistry and molecular biology. He has been serving as a Professor in the Department of Biochemistry and Molecular Biology at the University of Dhaka, Bangladesh, since October 2013. Additionally, he holds the position of Joint Secretary at The Bangladesh Society for Biochemistry and Molecular Biology, Bangladesh, a role he has fulfilled since 2016. His dedication to education is evident in his role as a Student Advisor at the Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh, from December 2010 to 2018. Prof. AHM Nurun Nabi’s contributions extend internationally, as he serves as an Honorary Visiting Professor at the Faculty of Applied Biological Sciences, Gifu University, Japan, a position he has held since April 2014. Prior to his current roles, he served as an Associate Professor in the Department of Biochemistry and Molecular Biology at the University of Dhaka from June 2011 to October 09, 2013. He also has experience as a Visiting Associate Professor at the Faculty of Applied Biological Sciences, Gifu University, Japan, from October 2009 to October 2010. His academic journey began as an Assistant Professor at the Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh, from August 2006 to June 2011. Before that, he served as a Lecturer in the same department from March 2001 to July 2006. Additionally, he has contributed as Honorary Teaching Staff at the Department of Genetic Engineering and Biotechnology, University of Dhaka, Bangladesh, from January 2007 to June 2007.

Awards:

Prof. AHM Nurun Nabi has been recognized for his academic excellence and research contributions through various prestigious awards and scholarships. He received Merit Scholarships from the People’s Republic of Bangladesh for the periods 1990-92 and 1992-95, highlighting his exceptional academic performance. His pursuit of higher education was further supported by a Ph.D. Scholarship awarded by the Japan Government, which enabled him to conduct advanced research in biochemistry and molecular biology at the laboratory of Animal Biochemistry, United Graduate School of Agricultural Science, Gifu University, Japan, from 2003 to 2006. After completing his Ph.D., he was awarded a JSPS Postdoctoral Fellowship by the Japan Society for Promotion of Science, which allowed him to continue his research in Japan from 2007 to 2009, further enhancing his expertise in the field. In recognition of his contributions to academia, he was awarded a Fellowship from the Japan Student Service Organization (JASSO) in 2018, underscoring his commitment to academic excellence and research. These awards and scholarships reflect Prof. AHM Nurun Nabi’s dedication to advancing knowledge in biochemistry and molecular biology.

Research Experience:

During his Post-doctoral Research Fellowship, Prof. AHM Nurun Nabi conducted research focusing on in vitro protein expression, protein-protein interactions using Nanobiotechnology techniques, and protein purification. He also gained expertise in cell culture techniques, including troubleshooting, and studied angiogenesis. His primary research interests centered on the functional studies of Renin, Prorenin, and (Pro)renin receptors, with a particular focus on the binding mechanisms of renin and prorenin to (pro)renin receptors. Additionally, he has extensive experience in protein purification, cell culture, and the expression of specific genes for functional studies on the cell membrane. This experience has provided him with a comprehensive understanding of cellular processes and molecular interactions. Prof. AHM Nurun Nabi’s research also extends to public health issues. He conducted research to determine the health status, including biochemical and cellular conditions, of garage workers. His work aimed to raise awareness among workers regarding possible health hazards associated with working in such environments. Furthermore, he has conducted research on human samples collected from arsenic-endemic regions. His research focused on the nutritional, biochemical, and immunological aspects of arsenic toxicity in the Bangladeshi population chronically exposed to arsenic through drinking water. This research culminated in a thesis entitled “Immunological and Biochemical Investigations in Human Arsenic Toxicity,” submitted for the partial fulfillment of his M.Phil degree.

Assist Prof Dr. Umair Ayub | Computational Biology | Best Researcher Award

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Assist Prof Dr. Umair Ayub | Computational Biology | Best Researcher Award

Assist Prof at Computational Biology, Bahria University Lahore Campus, Pakistan

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Umair Ayub has pursued a Ph.D. in Computer Science from August 2019 to December 2022 at the National University of Computer and Emerging Sciences in Islamabad, Pakistan, achieving an impressive CGPA of 3.95/4.0. His doctoral thesis focused on “Protein-Protein Interaction Network Alignment,” specifically examining the global and local alignment of two PPI networks. Prior to his Ph.D., Umair completed an MS in Computer Science from August 2016 to June 2018, with a CGPA of 3.65/4.0. His master’s thesis centered on the “Optimization of Ant-Miner (a rule-based classifier) Algorithm to Extract Accurate Classification Rules.” Umair initiated his academic journey with a BS in Computer Science from August 2012 to June 2016, earning a CGPA of 2.85/4.0. For his final year project, he worked on the “Automation of University Inventory System with Inventory Utilization Prediction and AI-based Reporting.”

Experience:

Umair Ayub’s professional journey in academia and research includes various significant roles:

  • Assistant Professor at Bahria University Lahore Campus, Lahore, Pakistan, since February 2023. In this role, he teaches computer science and data science courses at both undergraduate and graduate levels. Additionally, he serves as a member of the faculty hiring committee of the computer science department and leads the panel for final year projects.
  • Lecturer to Assistant Professor at the University of Management and Technology, Lahore, Pakistan, from September 2022 to March 2023. Here, he taught computer science courses at the undergraduate level and served as a member of the technical review committee for final-year projects.
  • Visiting Faculty Member at the National University of Computer and Emerging Sciences, Islamabad, from January 2022 to June 2022. In this position, he taught Data Structures and Algorithm Courses at the undergraduate level.
  • Research Associate at the Computational Biology Research Lab, Department of Computing, National University of Computer and Emerging Sciences, Islamabad, Pakistan, from September 2018 to August 2022. During this time, he conducted research in computational biology, machine learning, and deep learning. Additionally, he guided BS/MS students in understanding their research problems and helped them with machine learning models.

Research Projects:

Umair Ayub is currently involved in several research projects, including:

  • 3D Structure Prediction of Beta Barrel Membrane Proteins.
  • Forest of Genetic Algorithm for Functions Optimization.

Additionally, he is supervising the following MS-Thesis projects:

  • An Accurate Structure Aware Graph Convolutional Model for Extraction of Node Embeddings from Large Networks Data.
  • Impact of Different Topological Methods on PPI Network Alignment.
  • Gender and Age Group Identification using Facial Data.
  • Prediction of Autism Spectrum Disorder from Facial Data.

Research Areas:

Umair Ayub’s research areas include Machine Learning, Computational Biology, Networks Analysis, Swarm and Computational Intelligence, Statistical Modeling, and Function Optimization.

He has conducted several training workshops, including:

  • A 4-Day Training Workshop at the Bahria University Lahore Campus, Lahore. The primary objective of the workshop was to introduce students to the tools and techniques used in AI to solve complex problems.
  • A 5-day Training Workshop at the NUCES, Lahore. The primary objective of this workshop was to prepare students for research-related projects in the domain of AI in Healthcare.
  • A 5-day Training Workshop at the NUCES, Islamabad. The primary objective of this workshop was to introduce students to the AI domain with a specialty in healthcare.

 Skills:

Umair Ayub has achieved several distinctions, including being named the Punjab Educational Endowment Fund Scholar from 2016 to 2018 and earning the Bronze Medal in MS(CS) at NUCES, Islamabad. His skills include proficiency in Python, C++, LaTeX, Sklearn, Pytorch, Matplotlib, Numpy, and Linux.

Publications:

Title: “Predicting crop diseases using data mining approaches: classification” Authors: U Ayub, SA Moqurrab Year: 2018 Citations: 41

Title: “An accurate deep learning model for clinical entity recognition from clinical notes” Authors: SA Moqurrab, U Ayub, A Anjum, S Asghar, G Srivastava Year: 2021 Citations: 25

Title: “SAlign–a structure aware method for global PPI network alignment” Authors: U Ayub, I Haider, H Naveed Year: 2020 Citations: 12

Title: “PRRAT_AM—an advanced ant-miner to extract accurate and comprehensible classification rules” Authors: U Ayub, H Naveed, W Shahzad Year: 2020 Citations: 4

Title: “Opinion and emotion mining for Pakistan general election 2018 on Twitter data” Authors: S Khan, SA Moqurrab, R Sehar, U Ayub Year: 2019 Citations: 4

Title: “AMclr an improved ant-miner to extract comprehensible and diverse classification rules” Authors: U Ayub, A Ikram, W Shahzad Year: 2019 Citations: 3

Title: “BioAlign: An Accurate Global PPI Network Alignment Algorithm” Authors: U Ayub, H Naveed Year: 2022 Citations: 2

Title: “GSLAlign: community detection and local PPI network alignment” Authors: U Ayub Year: Not provided Citations: Not provided