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’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