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Hire Dr. Muhammad A.

United Kingdom

USD 100 /hr

PhD AI Expert | Control Systems & Robotics | Patents in Data Fusion | EV & AgTech Specialist | Technical Consultant

Profile Summary

I am a PhD-qualified specialist in Artificial Intelligence, Control Systems, and Electrical Engineering with over a decade of experience bridging the gap between academic research and industrial application. Recognized under the UK Global Talent Visa for my contributions to intelligent systems, I specialize in developing AI-driven solutions for AgTech, Green Energy, and Healthcare. My core technical expertise lies in Multi-Sensor Information Fusion and State Estimation, for which I hold both US and South Korean patents. These methodologies are critical for the development of autonomous systems, robotics, and distributed sensor networks. I have a proven track record in securing and managing competitive research grants totaling over £100,000 from national and international agencies. Key Research & Project Highlights: Precision Agriculture: Developed "AgriGuide," a vision-language framework for automated crop disease diagnosis and site-specific spraying. - Electric Vehicles (EV): Led projects on EV fast-charging infrastructure and state-of-charge (SoC) estimation for Lithium-ion batteries. - MedTech & Wearables: Designed and developed IoT-based diagnostic devices, including a stabilizing glove for hand tremors and portable ECG monitors. - Space Robotics: Contributed to 6D SLAM (Simultaneous Localization and Mapping) research for space initiative programs. Throughout my career, including my tenure as Director of an AI Lab and Head of Department, I have focused on technical leadership, industrial liaison, and quality management (Washington Accord/OBE). I am published in over 25 peer-reviewed journals and conferences, reflecting my commitment to high-impact, data-driven results. I am available for technical consulting, scientific writing, R&D strategy, and the development of specialized AI/Control System frameworks.

Subject Matter Expertise

• ☆ Electrical Engineering
• ☆ Semiconductors
• ☆ Power Engineering
• ☆ Electronics Engineering
• ☆ Electronic Circuits
• ☆ Signal Processing
• ☆ Telecommunications Engineering
• ☆ Instrumentation Engineering
• ☆ Wireless Sensor Networks
• ☆ Engineering Education
• ☆ Mechanical Engineering
• ☆ Robotics Engineering
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Computer Simulation/Computational Modeling
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Machine Learning
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Statistics
• ☆ Bayesian Statistics
• ☆ Correlation Analysis
• ☆ Renewable Energy
• ☆ Solar Energy
• ☆ Hydropower
• ☆ Electric Power
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Mathematical Optimization
• ☆ Differential Equations
• ☆ Stochastic Processes
• ☆ Pure Mathematics
• ☆ Algebra
• ☆ Geometry
• ☆ Embedded Systems
• ☆ Python
• ☆ Matlab
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Survey Design & Methodology
• ☆ Feasibility Studies
• ☆ Technology Scouting
• ☆ Fact Checking
• ☆ Literature Search
• ☆ Gap Analysis
• ☆ Presentation Design
• ☆ Technical & Scientific Writing
• ☆ Journal Selection
• ☆ Manuscript & Journal Article Writing
• ☆ Instructional Materials
• ☆ White Papers
• ☆ Spec Sheets
• ☆ Case Studies
• ☆ Textbook Content Writing
• ☆ Science Communication
• ☆ Literature Review
• ☆ Traditional/Narrative Literature Review
• ☆ Systematic Literature Review
• ☆ Scientific Proofreading & Editing
• ☆ Proofreading & Editing
• ☆ Language Translation
• ☆ Audio Transcription
• ☆ Course Content Writing
• ☆ Grant Writing
• ☆ Project Management

Services

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing, Audio Transcription, General Proofreading & Editing, Translation

Research Feasibility Study, Technology Scouting, Fact Checking, Gap Analysis, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning

Product Development Device Fabrication

Work Experience

Director AI Lab

National University of Technology

January 2025 - January 2026

Associate Professor

National University of Technology

January 2025 - January 2026

Head of Department (Electrical Engineering)

National University of Technology

January 2024 - January 2025

Assistant Professor | Control Systems Engineer

National University of Technology

April 2019 - December 2024

Research Assistant

Intelligent Systems Research Institute, Sungkyunkwan University, South Korea

September 2013 - August 2018

Education

PhD (Electronic and Electrical Engineering)

Sungkyunkwan University, South Korea

September 2013 - August 2018

BSc (Electrical Engineering)

University of Engineering & Technology, Peshawar, Pakistan

September 2007 - September 2011

Certifications

• National Faculty Development Program for Higher Education Faculty

  National Academy of Higher Education (NAHE), HEC, Islamabad Pakistan

  May 2025 - Present

• Teaching and Learning

  The University of Alabama, USA

  February 2023 - Present

• Robotic Process Automation for Leaders

  Course Civil Service College, Singapore

  October 2022 - Present

• Faculty Development Placement, Internship and Industry Academia Linkage

  Pakistan Institute of Entrepreneurship (PIE), Islamabad Pakistan

  August 2021 - Present

• Training on Solar Energy Technologies

  Pakistan Council of Renewable Energy Technologies, Islamabad Pakistan

  July 2019 - Present

Publications

JOURNAL ARTICLE

Benchmarking YOLO Models for Crop Growth and Weed Detection in Cotton Fields @article{Raza_2025, title={Benchmarking YOLO Models for Crop Growth and Weed Detection in Cotton Fields}, volume={7}, ISSN={2624-7402}, url={http://dx.doi.org/10.3390/agriengineering7110375}, DOI={10.3390/agriengineering7110375}, number={11}, journal={AgriEngineering}, publisher={MDPI AG}, author={Raza, Hassan and Abu Bakr, Muhammad and Khan, Sultan Daud and Batool, Hira and Ullah, Habib and Ullah, Mohib}, year={2025}, month=nov, pages={375} } . AgriEngineering.

Evaluation of Learning-Based Models for Crop Recommendation in Smart Agriculture @article{Bakr_2025, title={Evaluation of Learning-Based Models for Crop Recommendation in Smart Agriculture}, volume={16}, ISSN={2078-2489}, url={http://dx.doi.org/10.3390/info16080632}, DOI={10.3390/info16080632}, number={8}, journal={Information}, publisher={MDPI AG}, author={Bakr, Muhammad Abu and Khan, Ahmad Jaffar and Khan, Sultan Daud and Zafar, Mohammad Haseeb and Ullah, Mohib and Ullah, Habib}, year={2025}, month=jul, pages={632} } . Information.

Evaluation of Efficiency Enhancement in Photovoltaic Panels via Integrated Thermoelectric Cooling and Power Generation @article{Faheem_2024, title={Evaluation of Efficiency Enhancement in Photovoltaic Panels via Integrated Thermoelectric Cooling and Power Generation}, volume={17}, ISSN={1996-1073}, url={http://dx.doi.org/10.3390/en17112590}, DOI={10.3390/en17112590}, number={11}, journal={Energies}, publisher={MDPI AG}, author={Faheem, Muhammad and Abu Bakr, Muhammad and Ali, Muntazir and Majeed, Muhammad Awais and Haider, Zunaib Maqsood and Khan, Muhammad Omer}, year={2024}, month=may, pages={2590} } . Energies.

Emergence of Novel WEDEx-Kerberotic Cryptographic Framework to Strengthen the Cloud Data Security against Malicious Attacks @article{Zahra_2024, title={Emergence of Novel WEDEx-Kerberotic Cryptographic Framework to Strengthen the Cloud Data Security against Malicious Attacks}, volume={16}, ISSN={2073-8994}, url={http://dx.doi.org/10.3390/sym16050605}, DOI={10.3390/sym16050605}, number={5}, journal={Symmetry}, publisher={MDPI AG}, author={Zahra, Syeda Wajiha and Nadeem, Muhammad and Arshad, Ali and Riaz, Saman and Ahmed, Waqas and Abu Bakr, Muhammad and Alabrah, Amerah}, year={2024}, month=may, pages={605} } . Symmetry.

Muhammad Abu Bakr, Syeda Wajiha Zahra, Muhammad Nadeem, Ali Arshad, Saman Riaz, Ashit Kumar Dutta, Zaid Alzaid, Badr Almutairi, Sultan Almotairi(2024). An Innovative Approach Using TKN-Cryptology for Identifying the Replay Assault . Computers, Materials & Continua. 78. (1). p. 589–616. Tech Science Press

A fast convergent and robust classifier for multi-way corrupted eeg signals @article{Akmal_2023, title={A fast convergent and robust classifier for multi-way corrupted eeg signals}, volume={83}, ISSN={1573-7721}, url={http://dx.doi.org/10.1007/s11042-023-17133-8}, DOI={10.1007/s11042-023-17133-8}, number={13}, journal={Multimedia Tools and Applications}, publisher={Springer Science and Business Media LLC}, author={Akmal, Muhammad and Abid, Muhammad Irfan and Bakr, Muhammad Abu and Khan, Muhammad Omer and Saeed, Nasir}, year={2023}, month=oct, pages={40111–40124} } . Multimedia Tools and Applications.

Analysis of Energy Management and Battery Sizing in an Off‐Grid Hybrid Solar Thermoelectric Generation System @article{Malik_2022, title={Analysis of Energy Management and Battery Sizing in an Off‐Grid Hybrid Solar Thermoelectric Generation System}, volume={10}, ISSN={2194-4296}, url={http://dx.doi.org/10.1002/ente.202100732}, DOI={10.1002/ente.202100732}, number={3}, journal={Energy Technology}, publisher={Wiley}, author={Malik, Muhammad Suleman and Azmatullah, Umer and Khan, Muhammad Omer and Abu Bakr, Muhammad and Ahmad, Mubasher}, year={2022}, month=jan } . Energy Technology.

On multitrack fusion under unknown correlation @article{Bakr_2018, title={On multitrack fusion under unknown correlation}, volume={12}, ISSN={1751-8792}, url={http://dx.doi.org/10.1049/iet-rsn.2018.5098}, DOI={10.1049/iet-rsn.2018.5098}, number={11}, journal={IET Radar, Sonar & Navigation}, publisher={Institution of Engineering and Technology (IET)}, author={Bakr, Muhammad Abu and Lee, Sukhan}, year={2018}, month=nov, pages={1251–1259} } . IET Radar, Sonar & Navigation.

A Framework of Covariance Projection on Constraint Manifold for Data Fusion † @article{Abu_Bakr_2018, title={A Framework of Covariance Projection on Constraint Manifold for Data Fusion †}, volume={18}, ISSN={1424-8220}, url={http://dx.doi.org/10.3390/s18051610}, DOI={10.3390/s18051610}, number={5}, journal={Sensors}, publisher={MDPI AG}, author={Abu Bakr, Muhammad and Lee, Sukhan}, year={2018}, month=may, pages={1610} } . Sensors.

Distributed Multisensor Data Fusion under Unknown Correlation and Data Inconsistency @article{Bakr_2017, title={Distributed Multisensor Data Fusion under Unknown Correlation and Data Inconsistency}, volume={17}, ISSN={1424-8220}, url={http://dx.doi.org/10.3390/s17112472}, DOI={10.3390/s17112472}, number={11}, journal={Sensors}, publisher={MDPI AG}, author={Bakr, Muhammad Abu and Lee, Sukhan}, year={2017}, month=oct, pages={2472} } . Sensors.

CONFERENCE PAPER

Segmentation of Agricultural Fields in Aerial Imagery Using Enhanced Deep Learning Models @inproceedings{Aslam_2024, title={Segmentation of Agricultural Fields in Aerial Imagery Using Enhanced Deep Learning Models}, url={http://dx.doi.org/10.1109/icet63392.2024.10935129}, DOI={10.1109/icet63392.2024.10935129}, booktitle={2024 19th International Conference on Emerging Technologies (ICET)}, publisher={IEEE}, author={Aslam, Sumera and Bakr, Muhammad Abu and Khan, Sultan Daud}, year={2024}, month=nov, pages={1–6} } . 2024 19th International Conference on Emerging Technologies (ICET).

Vegetation Detection Using UAV Imagery with Deep Learning Segmentation Models @inproceedings{Khan_2024, title={Vegetation Detection Using UAV Imagery with Deep Learning Segmentation Models}, url={http://dx.doi.org/10.1109/icet63392.2024.10935177}, DOI={10.1109/icet63392.2024.10935177}, booktitle={2024 19th International Conference on Emerging Technologies (ICET)}, publisher={IEEE}, author={Khan, Ahmad Jaffar and Bakr, Muhammad Abu and Khan, Sultan Daud}, year={2024}, month=nov, pages={1–6} } . 2024 19th International Conference on Emerging Technologies (ICET).

Comparative Analysis of Ellipsoidal Methods for Distributed Data Fusion @inproceedings{Bakr_2018, series={IMCOM ’18}, title={Comparative Analysis of Ellipsoidal Methods for Distributed Data Fusion}, url={http://dx.doi.org/10.1145/3164541.3164582}, DOI={10.1145/3164541.3164582}, booktitle={Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication}, publisher={ACM}, author={Bakr, Muhammad Abu and Lee, Sukhan}, year={2018}, month=jan, pages={1–8}, collection={IMCOM ’18} } . Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication.

A general framework for data fusion and outlier removal in distributed sensor networks @inproceedings{Bakr_2017, title={A general framework for data fusion and outlier removal in distributed sensor networks}, url={http://dx.doi.org/10.1109/mfi.2017.8170412}, DOI={10.1109/mfi.2017.8170412}, booktitle={2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)}, publisher={IEEE}, author={Bakr, Muhammad Abu and Lee, Sukhan}, year={2017}, month=nov, pages={91–96} } . 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

An optimal data fusion for distributed multisensor systems @inproceedings{Lee_2017, series={IMCOM ’17}, title={An optimal data fusion for distributed multisensor systems: covariance extension method}, url={http://dx.doi.org/10.1145/3022227.3022268}, DOI={10.1145/3022227.3022268}, booktitle={Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication}, publisher={ACM}, author={Lee, Sukhan and Bakr, Muhammad Abu}, year={2017}, month=jan, pages={1–6}, collection={IMCOM ’17} } . Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication.

Track level fusion with an estimation of maximum bound of unknown correlation @inproceedings{Bakr_2016, title={Track level fusion with an estimation of maximum bound of unknown correlation}, url={http://dx.doi.org/10.1109/iccais.2016.7822431}, DOI={10.1109/iccais.2016.7822431}, booktitle={2016 International Conference on Control, Automation and Information Sciences (ICCAIS)}, publisher={IEEE}, author={Bakr, Muhammad Abu and Lee, Sukhan}, year={2016}, month=oct, pages={32–36} } . 2016 International Conference on Control, Automation and Information Sciences (ICCAIS).

BOOK CHAPTER

Muhammad Abu Bakr, Sukhan Lee(2018). Covariance Projection as a General Framework of Data Fusion and Outlier Removal . Lecture Notes in Electrical Engineering. p. 5–21. Springer International Publishing

PATENT

Muhammad Abu Bakr (2018). Method and Device for Fusing a Plurality of Uncertain or Correlated Data.

Muhammad Abu Bakr (2016). Method and Apparatus for Fusing a Plurality of Data being able to have Correlation or Uncertainty.