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

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

 

Assist Prof Dr. Mohsen El-Tahawy | Computational chemistry

Assist Prof Dr. Mohsen El-Tahawy : Leading Researcher in Computational chemistry

physical chemistry at Pharmaceutical Chemistry, Damanhour University, Egypt

Your 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.

🔬 Your 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 AND TRAINING:

  • Bachelor of Science and Education in Chemistry & Physics, Faculty of Education, Damanhour Branch, Alexandria University, Egypt, with a very good honor, from 2000 to 2004.
  • Bachelor of Science in Chemistry, Faculty of Science, Alexandria University, Alexandria, Egypt, with an excellent grade, from 2005 to 2007.
  • Preliminary Master’s studies in Physical Chemistry, Chemistry Department, Faculty of Science, Alexandria University, Egypt, with a GPA of 3.68, from 2007 to 2008.
  • Master of Science in Physical Chemistry, Chemistry Department, Faculty of Science, Alexandria University, Egypt, with a thesis titled “Experimental and theoretical Studies on some Heterocyclic Compounds and their complexes,” from 2007 to 2012.
  • Preliminary Doctoral studies in Physical Chemistry, Chemistry Department, Faculty of Science, Alexandria University, Egypt, with a GPA of 3.85, from 2012 to 2013.
  • PhD in Computational Photochemistry, Chemistry Department “Giacomo Ciamician,” Bologna University, Bologna, Italy, from 01/01/2014 to 08/05/2017, with a thesis titled “Modeling Spectral Tunability and Photoisomerization Mechanisms in Natural and Artificial Retinal Systems,” under the supervision of Prof. Marco Garavelli.

CONFERENCES:

  1. The First International Meeting of Water, held on 24-25 May 2010 at Egypt, Alexandria University, Damanhour Branch, Committee of Development, and International Cooperation (CDIC).
  2. Medical analysis & Lab. Applications from Basics to Advanced, held in Damanhour on June 28-29, 2013.
  3. Presented a paper titled “Photoelectrochromism in the Retinal Protonated Schiff Base Chromophore: Photoisomerization Speed and Selectivity under a Homogeneous Electric Field at Different Operational Regimes” at the 16th Day of Chemistry of Emilia-Romagna, which took place on December 19, 2016.
  4. Participated in the International Symposium on Trends in Radiopharmaceuticals (ISTR-2023) at IAEA Headquarters, Vienna, Austria, from April 17-21, 2023.

Mohsen El-Tahawy Dar ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 258, Since 2018: 403
  • Citations: 258 (All), 403 (Since 2018)
  • h-index: 8 (All), 9 (Since 2018)
  • i10-index: 7 (All), 7 (Since 2018)

1.Separating Convective from Diffusive Mass Transport Mechanisms in Ionic Liquids by Redox Pro-fluorescence Microscopy

  • Published in Energy in 2010 with 221 citations.

2.Unexpected synthesis, characterization, biological evaluations, and computational details of novel nucleosides containing triazine-pyrrole hybrid

  • Published in Energy in 2023 with 10 citations.

3.Electrochemically Generated Luminescence of Luminol and Luciferin in Ionic Liquids

  • Published in Energy in 2023 with 1 citations.

4.Luciferase-free Luciferin Electrochemiluminescence

  • Published in Energy in 2022 with 13 citations.

5.Synthesis, biological evaluation, density functional calculation and molecular docking analysis of novel spiropyrrolizidines derivatives as potential anti-microbial and anti-coagulant agents

  • Published in Energy in 2022 with 3 citations.