Mohammadsadeq Mottaqi | Computational biology | Young Scientist Award

Mr. Mohammadsadeq Mottaqi | Computational biology | Young Scientist Award

MohammadSadeq Mottaqi is a dedicated Ph.D. candidate in Biochemistry at the City University of New York, with a strong foundation in Biotechnology from the University of Tehran. He possesses a robust skill set in Python, R, and various bioinformatics tools. His research focuses on machine learning-based drug action prediction, molecular dynamics simulations, and protein-ligand interactions. He has contributed significantly to research projects at Hunter College and Weill Cornell Medicine, and has industry experience as an R&D intern. MohammadSadeq is a published author, with works in journals like the Journal of Environmental Management and Informatics in Medicine Unlocked.

Profile

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EducationšŸŽ“

City University of New York, the Graduate Center, New York, NY PhD in Biochemistry, Computer Science Department
Aug 2022 – Present. University of Tehran, Tehran, Iran B.Sc. in Biotechnology, GPA: 3.8 (top 15%) Sep 2017 – March 2022

Ā Technical SkillsšŸ’»

Programming Languages: Python, R, Bioinformatics Tools and Libraries: PyMol, MOE, Gromacs, Spss, Unity, Scikit-learn, Data Analysis: Transcriptomics data analysis, Statistical analysis, Data Visualization, Operating Systems: Linux, Unix, Others: High-performance computing

Ā Relevant Experience šŸŒŸ

Machine learning-based prediction methods for drug actions
Prof. Lei Xie lab, Hunter College and Weill Cornell Medicine
June 2023 – Present
Thesis: Deep learning models for chemical-induced differential gene expression and cell viability predictions for de novo drugs and cell lines

  • Resolve challenges in predictive modeling using algorithmic approaches
  • Design pre-processing pipelines for Transcriptomics datasets
  • Integrate disparate Transcriptomics datasets (80 cell-lines) using Python
  • Incorporate multiple diverse labeled and unlabeled OMICS data
  • Contribute to writing manuscript

Molecular dynamics simulations of mutated HER2 protein
Research assistant – Dr. Mateusz Marianski lab, Hunter College
April 2023 – June 2023

  • Investigated coupling reactions and residue interactions in several mutated HER2 proteins
  • Performed molecular dynamics (MD) simulations employing Gromacs
  • Analyzed the data of the MD simulations
  • Presented the interpreted results

Protein-Ligand interactions in docking
Research assistant – Prof. Tom Kurtzman lab, Lehman College
Nov 2022 – Jan 2023

  • Identified the potential molecular interactions between protein pharmacophores and ligands
  • Wrote Python scripts in PyMOL for detection of potential H-bonds and Van der Waals forces

Aral Teb CO. Ltd., Tehran, Iran
R&D Intern
May 2020 – Oct 2020

  • Designed and executed experiments for a bacterial diagnostic kit
  • Converted 3D MRI data into a format compatible with 3D bioprinter
  • Served as a key researcher in the clean room

Virtual reality (VR) project, Iranā€™s National Elites Foundation
Nov 2020 – Aug 2021

  • Devised 7 biotechnological experiments in VR environments employing Unity software
  • Collaborated with 9 computer scientists and 4 biologists

Publications Top Notes šŸ“

  • Iman Kianian, Mohammad Sadeq Mottaqi, et al. Automated identification of toxigenic cyanobacterial genera for water quality control purposes, Journal of Environmental Management

 

  • Mohammad Sadeq Mottaqi, et al. Contribution of machine learning approaches in response to SARS-CoV-2 infection, Informatics in Medicine Unlocked, 2021

Fasika Wondimu Gelu | Numerical Analysis | Best Researcher Award

Assist Prof Dr. Fasika Wondimu Gelu | Numerical Analysis | Best Researcher Award

Dr. Fasika received his Ph.D. on December 28, 2023, from Jimma University, Ethiopia. He joined Dilla University, Ethiopia, in 2015 as a lecturer and currently holds the position of Assistant Professor of Mathematics. Dr. Fasika was thematic leader at the College of Natural and
Computational Sciences, Dilla University, Ethiopia. Dr. Fasikaā€™s research is focused on numerical methods for singularly perturbed ordinary and
partial differential equations as well as numerical solutions to initial value problems. His research involves numerical experiments using finite difference, finite element, and spline approximations for parameter-sensitive differential equations. He published about 11 research
articles in national and international journals and supervised 5 M.Sc. students under his supervision. He also acted as an external examiner for M.Sc. theses from local as well as foreign institutions. Some of his accomplished and ongoing well-funded research projects include the development of efficient numerical methods for singular perturbation problems. Dr. Fasika is looking for a postdoctoral position abroad right now. I am looking for potential collaborators.

Profile

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  1. Orcid

 

  1. Scholar

šŸŽ“ Educational Background

Ph.D. in Mathematics (Numerical Analysis) University: Jimma University, Year Attended: 2018 ā€“ 2023. M.Sc. in Mathematics (Numerical Analysis), University: Jimma University, Year Attended: 2013 ā€“ 2014. Bachelor of Education in Mathematics, University: Dilla University, Year Attended: 2004 ā€“ 2007. Current Position: Instructor and Researcher at Dilla University since September 10, 2015. Field of Specialization: Numerical Analysis Stream

šŸ« Teaching Experience

Grade 9 ā€“ 12 Mathematics Teacher, School: Waka General Secondary and Preparatory School, Years: 2000 E.C ā€“ 2005 E.C. Part-time Teacher, Institution: Gojeb Education & Training College, Experience: 4 years. Mathematics Instructor, Institution: Infolink University College, Dilla Campus, Certificate: Teaching Mathematics . University Instructor, Institution: Dilla University, Ethiopia, Experience: 9 years

šŸ“ Current Position

Instructor and Researcher of Mathematics Department: Mathematics, Dilla University. Thematic Leader College: Natural and Computational Sciences, Dilla University

šŸ† Supportive Documents

Certificate of Review Journal: Journal of Applied Mathematics and Computing – Springer. Certificate of Review Journal: Results in Applied Mathematics – Elsevier. Certificate of Review Journal: Applied Mathematics & Information Sciences – Natural Sciences Publishing. Certificate of Participation Event: IEEE Authorship and Open Access Symposium

Publications Top Notes šŸ“

  • A Uniformly Convergent Collocation Method for Singularly Perturbed Delay Parabolic Reactionā€Diffusion Problem
    • Year: 2021
    • Authors: FW Gelu, GF Duressa
    • Source: Abstract and Applied Analysis, 2021 (1), 8835595

 

  • Sixth-order compact finite difference method for singularly perturbed 1D reaction diffusion problems
    • Year: 2017
    • Authors: FW Gelu, GF Duressa, TA Bullo
    • Source: Journal of Taibah University for Science, 11 (2), 302-308

 

  • Parameter-uniform numerical scheme for singularly perturbed parabolic convectionā€“diffusion Robin type problems with a boundary turning point
    • Year: 2022
    • Authors: FW Gelu, GF Duressa
    • Source: Results in Applied Mathematics, 15, 100324

 

  • A parameter-uniform numerical method for singularly perturbed Robin type parabolic convection-diffusion turning point problems
    • Year: 2023
    • Authors: FW Gelu, GF Duressa
    • Source: Applied Numerical Mathematics, 190, 50-64

 

  • A novel numerical approach for singularly perturbed parabolic convection-diffusion problems on layer-adapted meshes
    • Year: 2022
    • Authors: FW Gelu, GF Duressa
    • Source: Research in Mathematics, 9 (1), 2020400

 

  • Computational method for singularly perturbed parabolic reaction-diffusion equations with Robin boundary conditions
    • Year: 2022
    • Authors: FW Gelu, GF Duressa
    • Source: Journal of Applied Mathematics & Informatics, 40 (1-2), 25-45

 

  • Tenth Order Compact Finite Difference Method for Solving Singularly Perturbed 1D Reaction-Diffusion Equations
    • Year: 2016
    • Authors: FW Gelu, GF Duressa, TA Bullo
    • Source: International Journal of Engineering & Applied Sciences (IJEAS), 8 (3), 15-24