Dr. Muhammad Rashid | Computational Material | Best Researcher Award

Dr. Muhammad Rashid | Computational Material | Best Researcher Award 

Dr. Muhammad Rashid, Ghazi University, Pakistan

Dr. Muhammad Rashid is a Pakistani physicist and Associate Professor at the Department of Physics, Ghazi University Dera Ghazi Khan, Pakistan. He holds a Ph.D. in Physics (Condensed Matter/Computational Materials) from The Islamia University of Bahawalpur (IUB), conducted in collaboration with the National University of Singapore (NUS). His research focuses on the structural, electronic, optical, and magnetic properties of semiconductors, perovskites, and energy storage materials. He has extensive experience in computational material science, specializing in simulation techniques such as WIEN2k, VASP, and CASTEP. Throughout his career, Dr. Rashid has worked with esteemed institutions, including COMSATS University Islamabad and NUS, and has contributed significantly to the study of nanomaterials, energy harvesting applications, and Li-ion battery technologies. As a dedicated educator, he has taught a wide range of physics courses, including Modern Physics, Computational Physics, and Solid State Physics, fostering the next generation of scientists and researchers.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award 

Dr. Muhammad Rashid is a highly qualified researcher in the field of Condensed Matter and Computational Materials Physics. His extensive academic background, including a Ph.D. from The Islamia University of Bahawalpur in collaboration with the National University of Singapore, highlights his expertise in materials science, nanomaterials, and energy storage applications.

🎓 Education

  • Ph.D. in Physics (Condensed Matter/Computational Materials)The Islamia University of Bahawalpur (IUB), Pakistan (2014) 🏅

    • Thesis Title: “Structural, Electronic, Optical and Magnetic properties of II – VI semiconductors.”

    • Supervisor: Prof. Dr. Sheikh Aftab Ahmad

    • Collaboration: National University of Singapore (NUS)

  • M.Phil. in PhysicsThe Islamia University of Bahawalpur (IUB), Pakistan (2010) 📡

    • Thesis: “Designing, Fabrication and Applications of Controlled Atmospheric Tube Furnace.”

  • M.Sc. in PhysicsBahauddin Zakariya University (BZU), Pakistan (2006) 🧲

    • Specialization: Digital Electronics

  • B.Sc. in Science (Physics, Math A & B)Bahauddin Zakariya University (BZU), Pakistan (2004) 📖

  • Higher Secondary School Certificate (ICS)FBISE, Bahawalpur, Pakistan (2002) 🖥️

  • Secondary School Certificate (Science Group)FBISE, Islamabad, Pakistan (2000) ⚛️

💼 Work & Research Experience

  • Associate ProfessorGhazi University Dera Ghazi Khan, Pakistan (March 2021 – Present) 🏛️

    • Teaching courses such as Modern Physics, Computational Physics, Condensed Matter Physics, Electromagnetic Theory, and Solid-State Physics.

    • Supervising research in condensed matter physics and nanomaterials.

  • Assistant ProfessorCOMSATS University Islamabad, Pakistan (April 2014 – March 2021) 🏫

    • Conducted research and taught various physics courses.

  • Research AssociateNational University of Singapore (NUS), Singapore (March 2013 – October 2013) 🇸🇬

    • Worked under Prof. Y.P. Feng on Density Functional Theory (DFT) simulations using WIEN2k, VASP, and CASTEP.

  • Researcher (Material Simulation Group – MSG)The Islamia University of Bahawalpur (IUB), Pakistan (Feb 2010 – Feb 2013) 🏗️

    • Specialized in computational material science and condensed matter physics.

🏆 Achievements, Awards & Honors

🏅 Recipient of the Ph.D. Fellowship – National University of Singapore (NUS) 🇸🇬
🏅 Published Numerous Research Papers in Web of Science and Scopus-indexed journals 📑
🏅 Supervised Several Ph.D. and M.Phil. Students in Computational and Condensed Matter Physics 🎓
🏅 Expert in Computational Physics Tools such as WIEN2K, VASP, SCAPS-1D, and MATLAB 🖥️
🏅 Active Researcher in Renewable Energy Applications (2D heterostructures, perovskites, and energy storage materials) ⚡

Publication Top Notes:

Pressure-induced modifications in the electronic, mechanical, optical, and thermodynamic properties of CsPbI3 for advanced optoelectronic applications: A DFT study

Bandgap engineering in graphene oxide (GO) via integrating DFT calculations with atmospheric-pressure microplasma (AMP) treatment for optoelectronic applications

Chemistry of zeolites and zeolite based composite membranes as a cutting-edge candidate for removal of organic dyes & heavy metal ions: Progress and future directions

Retraction notice to “Design and numerical simulation of lead-free inorganic perovskites (Cs2BiAgI6) solar cell through computation method” [Heliyon 10 (2024) e33922] (Heliyon (2024) 10(14), (S2405844024099535), (10.1016/j.heliyon.2024.e33922))

Structural, spectral, dielectric, and magnetic properties of Gd3+ substituted Y-type Barium hexaferrites

Systematic analysis of lead-free halide K2SnX6 (X = Cl, Br, I) double perovskites for solar cell applications

Design and numerical simulation of lead-free inorganic perovskites (Cs2BiAgI6) solar cell through computation method

Prof. Shing-Hong Liu | Biomedical Award | Best Researcher Award

Prof. Shing-Hong Liu | Biomedical Award | Best Researcher Award 

Prof. Shing-Hong Liu, Chaoyang University of Technology, Taiwan

Shing-Hong Liu is an esteemed academic and researcher in the field of biomedical engineering and computer science. He obtained his B.S. degree in Electronic Engineering from Feng-Jia University, Taiwan, in 1990, followed by an M.S. degree in Biomedical Engineering from National Cheng-Kung University in 1992. In 2002, he earned his Ph.D. from the Department of Electrical and Control Engineering at National Chiao-Tung University, Taiwan. Since August 1994, Dr. Liu has been actively involved in academia, initially as a Lecturer in the Department of Biomedical Engineering at Yuanpei University, Taiwan. He progressed to become an Associate Professor from 2002 to 2008. Currently, he holds the position of Distinguished Professor in the Department of Computer Science and Information Engineering at Chaoyang University of Technology. Dr. Liu’s research focuses on biomedical signal processing, artificial intelligence applications in mobile health (mHealth), and the design of biomedical instruments. He has been recognized for his contributions, being named one of the World’s Top 2% Scientists in 2020. His research projects have received substantial funding, totaling NT$36,329,914, and he has authored 59 papers in SCI journals.

 

Professional Profile:

ORCID

 

Education:

  • B.S. in Electronic Engineering
    • Feng-Jia University, Taizhong, Taiwan, R.O.C.
    • Year of Completion: 1990
  • M.S. in Biomedical Engineering
    • National Cheng-Kung University, Tainan, Taiwan, R.O.C.
    • Year of Completion: 1992
  • Ph.D. in Electrical and Control Engineering
    • National Chiao-Tung University, Hsinchu, Taiwan, R.O.C.
    • Year of Completion: 2002

Work Experience:

  • Lecturer
    • Department of Biomedical Engineering, Yuanpei University, Hsinchu, Taiwan, R.O.C.
    • August 1994 – 2002
  • Associate Professor
    • Department of Biomedical Engineering, Yuanpei University, Hsinchu, Taiwan, R.O.C.
    • 2002 – 2008
  • Distinguished Professor
    • Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taiwan, R.O.C.
    • 2020 – Present

Achievements:

Shing-Hong Liu has been recognized as one of the World’s Top 2% Scientists in 2020. His research interests focus on biomedical signal processing, artificial intelligence for mHealth applications, and the design of biomedical instruments. He has successfully led projects with a total budget of NT 36,329,914 and has published 59 papers in SCI journals.

Publication top Notes:

Predicting Gait Parameters of Leg Movement with sEMG and Accelerometer Using CatBoost Machine Learning

Human Activity Recognition Based on Deep Learning and Micro-Doppler Radar Data

Estimation of Gait Parameters for Adults with Surface Electromyogram Based on Machine Learning Models

A Wearable Assistant Device for the Hearing Impaired to Recognize Emergency Vehicle Sirens with Edge Computing

A Wearable Assistant Device for Hearing Impaired to Recognize Emergency Vehicle Sirens with Edge Computing