Prof. Dr. Nadia Cheemaa | Data Detector Awards | Best Researcher Award

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Prof. Dr. Nadia Cheemaa | Data Detector Awards | Best Researcher Award 

Prof. Dr. Nadia Cheemaa, University of South China, Pakistan

Dr. Nadia Cheema is an Associate Professor in the Department of Mathematics and Physics at the University of South China, Hengyang, Hunan, China. She earned her Ph.D. in Applied Mathematics from the Harbin Institute of Technology, China, as a recipient of the prestigious China Scholarship Council (CSC) fully-funded scholarship. She also holds an M.S. in Applied Mathematics and a B.Sc. (Hons) in Mathematical Sciences from Government College University, Lahore, Pakistan, where she was awarded a gold medal for her academic excellence. Her research interests include the analytical and numerical study of complex dynamical systems, particularly in areas such as quantum mechanics, nonlinear optics, molecular biology, and plasma physics. Dr. Cheema is renowned for her work on solitary wave solutions and nonlinear dispersive wave equations.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award: Nadia Cheemaa

Dr. Nadia Cheemaa demonstrates exceptional qualifications and contributions to her field, making her a strong candidate for the Best Researcher Award. Below is an assessment of her suitability based on her academic background, research contributions, and professional accomplishments:

📚 Education

  • 🎓 Ph.D. in Applied Mathematics
    Harbin Institute of Technology, Harbin, China (09/2017 – 07/2022)
  • 🎓 MS in Applied Mathematics
    Government College University, Lahore, Pakistan (09/2012 – 07/2014)
  • 🎓 B.Sc. (Hons) in Mathematical Sciences
    Government College University, Lahore, Pakistan (07/2007 – 07/2011)
  • 📜 B.Ed.
    Allama Iqbal Open University, Islamabad, Pakistan (01/2014)

💼 Work Experience

  • 👩‍🏫 Associate Professor
    Department of Mathematics and Physics, University of South China, Hengyang, Hunan, China (May 2023 – Present)
  • 👩‍🏫 Lecturer of Mathematics (Permanent)
    Minhaj International University, Lahore, Pakistan (01/2015 – 07/2016)
  • 👩‍🏫 Lecturer of Mathematics (Visiting)
    Government College University, Lahore, Pakistan (07/2016 – 07/2017)
  • 👩‍🏫 Lecturer of Mathematics (Permanent)
    Riphah International University, Lahore, Pakistan (02/2017 – 07/2017)
  • 🧑‍🏫 Senior Subject Teacher (SST, BS-16)
    Government High School Abdal, Gujranwala, Pakistan (07/2012 – 11/2014)

🏆 Honors / Awards / Achievements

  • 🥇 Fully Funded Scholarship for Ph.D.
    Awarded by the China Scholarship Council (CSC).
  • 🥇 Fully Funded Scholarship for M.Phil.
    Awarded by Government College University, Lahore (Gold Medal Scholarship).
  • 🏅 Gold Medalist
    Achieved first position in B.Sc. (Hons) Mathematics at Government College University, Lahore.
  • 📜 Academic Roll of Honor
    Recognized for excellence in B.Sc. (Hons) Mathematics with a CGPA of 3.50.
  • 💻 Merit-Based Laptop Award
    Received under the Shahbaz Sharif Scheme for academic excellence in M.Phil. (CGPA: 3.53).
  • ✈️ Travel Grant for Ph.D. Studies
    Sponsored by the Higher Education Commission, Pakistan.

Publication Top Notes:

Nonlinear fiber optics with water wave flumes: dynamics of the optical solitons of the derivative nonlinear Schrödinger equation

Optical soliton perturbation with fractional temporal evolution by extended modified auxiliary equation mapping

Optical dromions and domain walls in (2+1)-dimensional coupled system

Chiral soliton solutions of perturbed chiral nonlinear Schrödinger equation with its applications in mathematical physics

Study of the dynamical nonlinear modified Korteweg–de Vries equation arising in plasma physics and its analytical wave solutions

A variety of exact solutions to (2+1)-dimensional schrödinger equation

Assoc. Prof. Dr. Mohammed Farag | Machine Learning Awards | Best Researcher Award

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Assoc. Prof. Dr. Mohammed Farag | Machine Learning Awards | Best Researcher Award 

Assoc. Prof. Dr. Mohammed Farag, Alexandria University, Egypt

Dr. Mohammed M. Farag is an accomplished Associate Professor of Electrical Engineering with extensive academic experience spanning over two decades. Currently affiliated with King Faisal University, Saudi Arabia, and Alexandria University, Egypt, he specializes in the fields of machine learning, signal processing, and cybersecurity. His research is particularly focused on the development of innovative solutions for edge computing and cyber-physical systems. Dr. Farag holds a Ph.D. in Computer Engineering from Virginia Tech, where he conducted groundbreaking research on enhancing trust in cyber-physical systems. His academic journey also includes a Master’s and Bachelor’s degree in Electrical Engineering from Alexandria University, both achieved with distinction. A prolific researcher, he has an impressive publication record in high-impact journals and has secured numerous research grants. Beyond his research contributions, Dr. Farag is dedicated to advancing the field through excellence in teaching, mentorship, and quality assurance, actively contributing to program development and accreditation processes.

Professional Profile:

SCOPUS

ORCID

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award: Dr. Mohammed M. Farag

Dr. Mohammed M. Farag’s academic and professional profile reflects significant accomplishments in research, teaching, and academic leadership. Based on his qualifications and achievements, he is a strong candidate for the Best Researcher Award for the following reasons.

🧑‍🎓 Education

🎓 Ph.D. in Computer Engineering (GPA: 4.00/4.00) – Virginia Tech, USA (2009-2012)
Dissertation: “Architectural Enhancements to Increase Trust in Cyber-Physical Systems Containing Untrusted Software and Hardware”

🎓 M.Sc. in Electrical Engineering (GPA: 4.00/4.00) – Alexandria University, Egypt (2003-2007)
Thesis: “Hardware Implementation of The Advanced Encryption Standard on Field Programmable Gate Arrays”

🎓 B.Sc. in Electrical Engineering, Distinction with Honor (GPA: 3.89/4.00) – Alexandria University, Egypt (1998-2003)
Project: “VLSI Design of Cryptographic Algorithms”

📚 Research Interests

🔍 Machine Learning for Signal Processing & Edge Computing
🔐 Cybersecurity and Hardware Security
💾 VLSI Design and Embedded Systems
🤖 AI Applications in Electrical Engineering
🌐 Cyber-Physical Systems

🏆 Key Achievements

📝 Citations: 411 | h-index: 11 | i10-index: 11 (As of October 2024)
📖 Published in IEEE Access, Sensors, and top-tier journals.
💰 Secured multiple research grants from King Faisal University, totaling over 100,000 SAR.

💻 Technical Expertise

💡 Programming: Python, C++, MATLAB
🖥️ Hardware Design: VHDL, Verilog
📊 Machine Learning: TensorFlow, PyTorch, Keras
🔧 CAD Tools: Synopsys, Cadence, Xilinx

🎓 Teaching Experience

🎓 Electrical Circuits, Signal Processing, Digital Logic, VLSI Design, Embedded Systems, and more!
🎯 Special focus on fostering practical skills in Semiconductor Devices and Cybersecurity.

Publication Top Notes

Wearable sensors based on artificial intelligence models for human activity recognition

A Tiny Matched Filter-Based CNN for Inter-Patient ECG Classification and Arrhythmia Detection at the Edge

Design and Analysis of Convolutional Neural Layers: A Signal Processing Perspective

Matched Filter Interpretation of CNN Classifiers with Application to HAR

A Self-Contained STFT CNN for ECG Classification and Arrhythmia Detection at the Edge

Aggregated CDMA Crossbar With Hybrid ARQ for NoCs

Overloaded CDMA crossbar for network-on-chip