Mathematician, Data Scientist, and Educator

Welcome! Dr. Abdallah Alsammani is a mathematician and data scientist with over a decade of academic experience. He currently serves as an Assistant Professor of Data Science at Jacksonville University, where he excels in teaching, contributing to undergraduate research, and supporting the university's initiatives. His professional journey includes notable postdoctoral positions at the University of Georgia's Department of Infectious Disease, where he worked on projects related to the CDC, and at the University of Nebraska Medical Center's Department of Neurosurgery, where he focused on computational neuroscience.

• Assistant Professor of Data Science, Department of Mathematics, Jacksonville University (2022 - present)
• Postdoctoral Research Associate, Department of Infectious Diseases, University of Georgia (2022)
• Postdoctoral Research Associate, Department of Neurosurgery, University of Nebraska Medical Center (2021-2022)
• Graduate Teaching Assistant, Department of Mathematics, Auburn University (2014-2020)
• Overseas
  • Lecture of math and stat, Al-Neelain University (2012-2014)
  • Lecture of math and stat, Academy of Engineering Science (2012-2014)
  • Lecture of math and stat, Comboni College of Science and Technology (2012-2014)

• Ph.D. in applied mathematics (mathematical modeling and dynamical systems), Aubutn University
• Pre-Ph.D. Diploma in mathematics (algebraic topology), International Centre for Theoreitical Physics (ICTP)
• M.Sc. in applied mathematics (cryptography), African Institute for Mathematical Science (AIMS-Senegal)
• B.Sc. Honor in mathematics (Optimization), Al Neelain University

My research centers on applying computational mathematics, data science, and machine learning across a range of interdisciplinary fields, including systems biology, medicine, ecology, and beyond. Key areas of focus include systems biology, medical imaging and diagnostics, computational neuroscience, epidemiology, public health, environmental science, and ecology. I am passionate about collaborating and driving innovation through research projects that involve developing new algorithms, models, predictive tools, and analytical methods to tackle complex biological, medical, and environmental challenges. I am also open to participating in other multidisciplinary initiatives.

1. Enhancement of Database Access Performance by Improving Data Consistency in NoSQL Systems, with Adam A. E. Alflahi and Mohammed A.Y. Mohammed,Springer Nature Switzerland - Computational Science and Its Applications (ICCSA 2024)

2. Estimation of Circular Statistics in the Presence of Measurement Bias with William C Stacey and Stephen V Gliske. IEEE Journal of Biomedical and Health Informatics (2023)

3. Mathematical Analysis of Autonomous and Nonautonomous HBV Transmission Models
   Springer Nature Switzerland - Computational Science and Its Applications (ICCSA 2023)

4. Stability analysis of a chemotherapy model with delays with Abdulrashid, Ismail, and Xiaoying Han.Discrete and Continuous Dynamical Systems-B (2019)

6. Coexistence via trophic cascade in plant-herbivore-carnivore systems under intense predation pressure, with Mozzamil Mohammed, Mohammed AY Mohammed, Mohamed Bakheet, Cang Hui, and Pietro Landi. Under review, currenty posted on arXiv (2024)
7. Stochastic modeling and computational simulations of HBV infection dynamics, arXiv (2023)

8. THE IMPACT OF INTRACRANIAL EEG ON SLEEP IS INDEPENDENT OF WHETHER A CRANIOTOMY WAS PERFORMED, with Kevin Tyner, Garnett Hegeman, William Stacey, Stephen Gliske. SLEEP Conference (2022)
9. Effect of Sleep Stage on High-Frequency Oscillations and Artifacts, with Stephen Gliske and William Stacey. American Epilepsy Society Annual Meeting (2021)

My teaching philosophy in applied mathematics, data science, statistics, and machine learning is centered on fostering a deep understanding of theoretical concepts and encouraging their practical application through problem-solving and project-based learning. This approach sharpens students' computational, analytical, and critical thinking skills while promoting creativity. I also integrate responsible and ethical AI into my curriculum, emphasizing the importance of ethical considerations and societal impacts, preparing students to be conscientious professionals. With over a decade of experience, I adapt my teaching methods to meet diverse student needs and learning styles, focusing on active engagement to enhance understanding and retention.

• Math 470: Machine Learning Algorithms
• Math 478R: Statistical Learning
• Math 170: Data Science Foundations
• Math 270: Introduction to Data Science
• Math 420: Linear Algebra II
• Math 315: Probability Theory
• Math 331: Differential Equations

• MATH 1000: COLLEGE ALGEBRA
• MATH 1150: PRE-CALCULUS ALGEBRA AND TRIGONOMETRY
• MATH 1610: CALCULUS I
• MATH 1620 CALCULUS II
• MATH 2630 CALCULUS III
• Tutoring
  • MATH 2650: LINEAR DIFFERENTIAL EQUATIONS
  • MATH 2660: TOPICS IN LINEAR ALGEBRA
  • All the undergraduate math and stat courses

• Python
• R
• MATLAB
• C++
• SAS
• JAVA

• Linux
• Windows
• macOS

• Email: [email protected]
• Phone: +1 (904) 256-7439
• Location: Jacksonville University, FL, USA

Feel free to explore my repositories and reach out for collaboration on research projects, teaching, or data science consultations!