Abid Amin Naeem
Also known as: Muhammad Abid
University of Tennessee at Knoxville, Institute for Computational and Experimental Research in Mathematics (ICERM), North Carolina State University, COMSATS University Islamabad
About
Abid is a researcher in Computational Science, Engineering, & Mathematics, focusing on Scientific Machine Learning, Mathematical Modeling, and Scientific Computing. His work addresses core challenges in computational sciences and engineering by developing and validating advanced methods for solving the complex, real-world problems. Abid leverages machine learning techniques, mathematical modeling, and scientific computing to analyze and resolve the industrial issues.
Abid has contributed to international projects in uncertainty quantification, modeling, and numerical simulation of systems governed by parametric equations. He is particularly interested in the interplay between mathematics and machine learning, driven by a desire for deeper insights into these critical interactions. Abid taught undergraduate mathematics courses at the various universities, specializing in optimization theory, fluid mechanics, and numerical analysis.
If you are interested in connecting and engaging in meaningful discussions, I welcome the opportunity to connect with you. I am eager to explore new avenues for knowledge exchange and collaborate on the projects that drive innovation and push the boundaries of what is possible. Please do not hesitate to reach out if you would like to connect and embark on an exciting journey of exploration and collaboration together.
Employment
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University of Tennessee at Knoxville Graduate Research Assistant2024 - Present
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Institute for Computational and Experimental Research in Mathematics (ICERM) Summer Research Intern2024 - 2024
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Statistical and Applied Mathematical Sciences Institute Research Intern2023 - 2023
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North Carolina State University Graduate Teaching Assistant2022 - 2024
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North Carolina State University Graduate Research Assistant2022 - 2024
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Université de Pau et des Pays de l'Adour Research Assistant (Internship)2021 - 2022
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COMSATS University Islamabad Visiting Lecturer2021 - 2021
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Government Postgraduate College, Sahiwal Lecturer(CTI)2021 - 2021
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Technology Times, Pakistan Digital Columnist || Science Writer2020 - 2024
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COMSATS University Islamabad Research Assistant2020 - 2021
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COMSATS University Islamabad Teaching Assistant2020 - 2020
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The Abdus Salam International Centre for Theoretical Physics (ICTP) Postgraduate Diploma Student2020 - 2020
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Government Postgraduate College, Sahiwal Visiting Lecturer2018 - 2019
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Nestlé (Switzerland) Research And Development Intern2018 - 2018
Education
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North Carolina State University Master of Science - MS, Computational and Applied Mathematics2022 - 2024
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COMSATS University Islamabad Master of Science - MS, Mathematics2019 - 2021
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Bahauddin Zakariya University Bachelor of Science - BS, Mathematics2013 - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (35)
- Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation Save
- WLNO: Wavelet-Laplace Neural Operator for Solving Partial Differential Equations Save
- SIMR-NO: A Spectrally-Informed Multi-Resolution Neural Operator for Turbulent Flow Super-Resolution Save
- Recent advances in modified Arrhenius activation energy and bioconvection in Williamson nanofluid flow over a bidirectional surface Save
- Population Balance Equations for Coupled Particle Growth and Nucleation Processes: Homotopy Analysis Save
- Enhancing Software Effort Estimation in Healthcare Informatics: A Comparative Analysis of Machine Learning Models with Correlation-Based Feature Selection Save
- Uncertainty Quantification in Steady-State Heat Transfer: A Comprehensive Analysis of DRAM and MCMC Methods with Applications to Thermal Systems Save
- Einstein Aggregate Operators under Q-rung Orthopair Fuzzy Hypersoft Sets with Machine Learning Save
- Enhancing Software Effort Estimation: A Comparative Analysis of Machine Learning Models with Correlation-Based Feature Selection Save
- Numerical Investigation of Heat and Mass Transfer Enhancement in Ternary Nano-Casson Fluid in the Presence of Cattaneo−Christov Theory with Hall and Ion Slip Effects Save