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Home ― Directory ― Abid Mehmood

Abid Mehmood

Abid Mehmood

Abid Mehmood

Associate Professor

Department

The Beacom College of Computer & Cyber Sciences

Education

Ph.D., Computer Science, Universiti Teknologi Malaysia, Johor Bahru, Malaysia, 2014.
M.Sc., Computer Science, Quaid-i-Azam University, Islamabad, Pakistan, 2001.
B.Sc., Computer Science, University of Peshawar, Peshawar, Pakistan, 1998.

Biography

Dr. Abid Mehmood is an Associate Professor at The Beacom College of Computer & Cyber Sciences at Dakota State University. With over 20 years of experience in academia and industry, his research focuses on applying machine learning and computer vision to domains like precision agriculture, surveillance, and healthcare.


He has published extensively, holds U.S. patents, and has secured funding for interdisciplinary research projects. Before joining DSU, Dr. Mehmood taught graduate and undergraduate courses at multiple institutions and contributed significantly to curriculum development and accreditation initiatives.


In addition to his academic career, Dr. Mehmood spent over a decade in the software industry, where he led the development of multimedia asset management and program scheduling systems for broadcast operations. He also worked on workflow automation solutions for large defense organizations and developed specialized web-crawling applications designed for secure data retrieval and analysis. At DSU, he continues to advance innovative research and inspire the next generation of AI practitioners.

Contact

Office Location: East Hall
Phone: (605) 256-5838
Email

Applied machine learning and deep learning, data-driven predictive analytics, computer vision, AI applications in healthcare, and AI in precision agriculture.

  • Real-Time Driver Depression Monitoring for Accident Prevention in Smart Vehicles
    Role: PI | Funding Amount: SAR 15,000 | Funding Agency: Vice Presidency for Graduate Studies and Scientific Research, King Faisal University | Status: Completed (May 2024)
  • Authentication Schemes Used in Machine-Type Communication Devices in Machine-to-Machine Communication
    Role: Co-PI | Funding Amount: SAR 15,000 | Funding Agency: Vice Presidency for Graduate Studies and Scientific Research, King Faisal University | Status: Completed (April 2024)
  • SBXception: A Shallower and Broader Xception Architecture for Efficient Classification of Skin Lesions
    Role: Co-PI | Funding Amount: SAR 15,000 | Funding Agency: Vice Presidency for Graduate Studies and Scientific Research, King Faisal University | Status: Completed (July 2023)
  • Sentiment Analysis for Estimation of Vaccine Popularity
    Role: Co-PI | Funding Amount: SAR 15,000 | Funding Agency: Deanship of Scientific Research, King Faisal University | Status: Completed (May 2023)
  • Diagnosis of Glaucoma from Retinal Images
    Role: Co-PI | Funding Amount: SAR 15,000 | Funding Agency: Deanship of Scientific Research, King Faisal University | Status: Completed (May 2023)
  • An Enhanced Automated Fruit Disease Identification and Classification Using a New Ensemble Classification Method
    Role: PI | Funding Amount: SAR 30,000 | Funding Agency: Deputyship of Research and Innovation, Ministry of Education, Saudi Arabia | Status: Completed (Feb. 2023)
  • Automated Estimation of Crop Yield Using Artificial Intelligence and Remote Sensing Technologies
    Role: Co-PI | Funding Amount: SAR 28,000 | Funding Agency: Deputyship of Research and Innovation, Ministry of Education, Saudi Arabia | Status: Completed (Jan. 2023)
  • A Hybrid Model to Predict Stock Prices
    Role: Co-PI | Funding Amount: SAR 30,000 | Funding Agency: The Saudi Investment Bank Chair for Investment Awareness Studies | Status: Completed (Nov. 2022)
  • Abdomen Fat and Liver Segmentation of CT Scan Images for Determining Obesity and Fatty Liver Correlation
    Role: Co-PI | Funding Amount: SAR 30,000 | Funding Agency: Deanship of Scientific Research, King Faisal University | Status: Completed (Oct. 2022)
  • An Aspect-Oriented Model-Driven Code Generation Approach
    Role: PI | Funding Amount: SAR 30,000 | Funding Agency: Deanship of Scientific Research, King Faisal University | Status: Completed (June 2022)
  • A Systematic Study on a Customer's Next-Items Recommendation Techniques
    Role: Co-PI | Funding Amount: SAR 30,000 | Funding Agency: Deanship of Scientific Research, King Faisal University | Status: Completed (June 2022)
  • A Deep Learning-Based Model for Date Fruit Classification
    Role: Co-PI | Funding Amount: SAR 60,000 | Funding Agency: Deanship of Scientific Research, King Faisal University | Status: Completed (May 2022)
  • LightAnomalyNet: A Lightweight Framework for Efficient Abnormal Behavior Detection
    Role: PI | Funding Amount: SAR 30,000 | Funding Agency: Deanship of Scientific Research, King Faisal University | Status: Completed (Nov. 2021)
  • Efficient Anomaly Detection in Crowd Videos Using Pre-Trained 2D Convolutional Neural Networks
    Role: PI | Funding Amount: SAR 30,000 | Funding Agency: Deanship of Scientific Research, King Faisal University | Status: Completed (Aug. 2021)
  • Abnormal Behavior Detection in Uncrowded Videos with Two-Stream 3D Convolutional Neural Networks
    Role: PI | Funding Amount: SAR 30,000 | Funding Agency: Deanship of Scientific Research, King Faisal University | Status: Completed (Apr. 2021)

  • Abid Mehmood, Qazi Mudassir Ilyas, Muneer Ahmad, Zhongliang Shi, “Test Suite Optimization Using Machine Learning Techniques: A Comprehensive Study”, IEEE Access, 12, pp. 168645–168671, 2024.
  • Malik Hasnain Ahmed, Yousaf Saeed, Abid Mehmood, Muhammad Saeed, Naeem Ahmed, Qazi Mudassar Ilyas, Sajid Iqbal, Naushad Abid, “Real-Time Driver Depression Monitoring for Accident Prevention in Smart Vehicles”, IEEE Access, 12, pp. 79838 - 79850, 2024.
  • Shafi Ullah, Sibghat Ullah Bazai, Mohammad Imran, Qazi Mudassar Ilyas, Abid Mehmood, Muhammad Asim Saleem, et al., “Recent Developments in Authentication Schemes Used in Machine-Type Communication Devices in Machine-to-Machine Communication: Issues and Challenges”, Computers, Materials & Continua, vol. 79, issue 1, pp. 93-115, 2024.
  • Abid Mehmood, Yonis Gulzar, Qazi Mudassar Ilyas, Abdoh Jabbari, Muneer Ahmad, and Sajid Iqbal, “SBXception: A Shallower and Broader Xception Architecture for Efficient Classification of Skin Lesions”, Cancers, vol. 15, issue 14, pp.3604, 2023.
  • Muhammad Saeed, Naeem Ahmed, Abid Mehmood, Muhammad Aftab, Rashid Amin and Shahid Kamal, “Sentiment Analysis for COVID-19 Vaccine Popularity”, KSII Transactions on Internet & Information Systems, vol. 17, issue 5, pp.1377, 2023.
  • Ayesha Shoukat, Shahzad Akbar, Syed Ale Hassan, Sajid Iqbal, Abid Mehmood and Qazi Mudassar Ilyas, “Automatic Diagnosis of Glaucoma from Retinal Images Using Deep Learning Approach”, Diagnostics, vol. 13, issue 10, pp.1738, 2023.
  • Abid Mehmood, Muneer Ahmad, Qazi Mudassar Ilyas, “On Precision Agriculture: Enhanced Automated Fruit Disease Identification and Classification Using a New Ensemble Classification Method”, Agriculture, vol. 13, issue 2, pp.500, 2023.
  • Qazi Mudassar Ilyas, Muneer Ahmad, Abid Mehmood, “Automated Estimation of Crop Yield Using Artificial Intelligence and Remote Sensing Technologies”, Bioengineering, vol. 10, issue 2, pp.125, 2023.
  • Qazi Mudassar Ilyas, Khalid Iqbal, Sidra Ejaz, Abid Mehmood, Surbhi Bhatia, “A Hybrid Model to Predict Stock Closing Price Using Novel Features and Fully Modified HP Filter”, Electronics, Vol 11, Issue 21, pp. 3588, 2022.
  • Yonis Gulzar, Ahmed Alkinani, Ali A. Alwan, Abid Mehmood, “Abdomen Fat and Liver Segmentation of CT Scan Images for Determining Obesity and Fatty Liver Correlation”, Applied Sciences, 12, issue 20, pp. 10334, 2022.
  • Qazi Mudassar Ilyas, Abid Mehmood, Ashfaq Ahmad, Muneer Ahmad, “A Systematic Study on a Customer’s Next-Items Recommendation Techniques”, Sustainability, vol. 14 issue 12, pp.7175, 2022.
  • Abid Mehmood, Dayang NA Jawawi, “AJFCode: An Approach for Full Aspect-Oriented Code Generation from Reusable Aspect Models”, KSII Transactions on Internet & Information Systems, vol. 16, issue 6, pp.1973, 2022.
  • Khalied Albarrak, Yonis Gulzar, Yasir Hamid, Abid Mehmood, Arjumand Bano Soomro, “A Deep Learning-Based Model for Date Fruit Classification”, Sustainability, vol. 14, issue 10, pp.6339, 2022.
  • Abid Mehmood, “LightAnomalyNet: A Lightweight Framework for Efficient Abnormal Behavior Detection”, Sensors, vol. 21, issue 24, pp.8501, 2021.
  • Abid Mehmood, “Efficient Anomaly Detection in Crowd Videos Using Pre-Trained 2D Convolutional Neural Networks”, IEEE Access, 9, pp. 138283-138295, 2021.
  • Abid Mehmood, “Abnormal Behavior Detection in Uncrowded Videos with Two-Stream 3D Convolutional Neural Networks”, Applied Sciences, vol. 11, issue 8, 2021.
  • Furkh Zeshan, Adnan Ahmad, Abid Mehmood, Ikram Ulhaq, et. al, "An ontology-based service discovery framework for dynamic environments", IET Software, 11(2), 64-74, April 2017. [WoS (IF 1.15), Scopus]
  • Abid Mehmood and Dayang N. A. Jawawi, “Aspect-oriented model-driven code generation: A systematic mapping study”, Information and Software Technology, 55(2), 395-411, 2013. [WoS (IF 3.862), Scopus]
  • Naeem Ahmed, Muhammad Saeed, Muhammad Aftab, Abid Mehmood, Qazi Mudassar Ilyas, “Knee Osteoarthritis Detection and Classification Using Transfer Learning”, 2023 3rd International Conference on Computing and Information Technology (ICCIT), Tabuk, Saudi Arabia, 13-14 September 2023. [Scopus, IEEE]
  • Abid Mehmood and Yonis Gulzar, "An Architecture-Based Approach for Modeling Dynamically Adaptive IoT Systems," 2020 International Conference on Computing and Information Technology (ICCIT-1441), Tabuk, Saudi Arabia, 2020, pp. 1-6. [Scopus, IEEE]
  • Abid Mehmood and Dayang N.A. Jawawi, Furkh Zeshan, “An approach for mapping aspect state models to aspect-oriented code”. 5th International Conference on Engineering & Emerging Technologies (ICEET 2019), Lahore, Pakistan. [Scopus, IEEE]
  • Abid Mehmood and Dayang N.A. Jawawi, “A quantitative assessment of aspect design notations with respect to reusability and maintainability of models”. 8th Malaysian Conference in Software Engineering (MySEC 2014), Malaysia. [Scopus, IEEE]
  • Abid Mehmood and Dayang N.A. Jawawi, “A comparative survey of aspect-oriented code generation approaches”. 5th Malaysian Conference in Software Engineering (MySEC 2011), Malaysia: Pages 147-152. [Scopus, IEEE]
  • Sadia Aziz, Qazi Mudassar Ilyas, Abid Mehmood, Ashfaq Ahmad, “Role of Machine Learning in Handling the COVID-19 Pandemic”. Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence, IGI Global, pp. 212-250, 2022.