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Tariq Mahmood – Network Resilience

Tariq Mahmood  distinguished academic and researcher in the field Network Resilience. His research interests primarily focus on working with deep learning methodologies for integrating and analyzing extensive collections of multi-modal medical images, along with object detection/tracking. His research career began in 2013, with a focus on wireless sensor networks, specifically underwater sensor networks, and security on smartphone platforms, particularly Android. He worked on usage control and attestation for this immensely popular smartphone software stack.

During graduation, he successfully completed and delivered machine learning-based applications. Subsequently, his interests have evolved towards the development of machine learning and deep learning models to aid medical image analysis for tumor detection. He possesses hands-on experience working with radiology images and applying various deep learning techniques, including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), time-series analysis, feature extraction, reinforcement, and supervised/unsupervised learning.

This diverse skill set positions him to contribute meaningfully to the dynamic intersection of deep learning and medical imaging. The application of these methodologies not only facilitates the integration of multi-modal medical images but also enhances object detection and tracking—particularly crucial in the context of tumor detection. His goal is to continue advancing these techniques, exploring emerging technologies and methodologies, and collaborating with experts in the field to further contribute to the ever-evolving landscape of medical image analysis.

🌐 Professional Profiles

Educations: 📚🎓

He is currently engaged in a post-doctoral position at the AIDA Lab within the College of Computer and Information Sciences (CCIS) at Prince Sultan University in Saudi Arabia, a position he has held since March 2023. Prior to this, he earned his Ph.D. in Software Engineering from Beijing University of Technology, China, graduating in June 2022. His academic journey also includes achieving a Master of Science in Computer Science from the University of Lahore, Pakistan, in November 2015, as well as an MSc in Information Technology from the University of Education, Pakistan, completed in January 2012. He initiated his academic pursuits with a Bachelor of Computer Science degree from Allama Iqbal Open University, Pakistan, awarded in March 200X (please replace ‘convert into a para use he’ with the specific year). This educational background underscores his commitment to advancing knowledge in the fields of computer science and software engineering.

HONORS & AWARD 

He has achieved notable recognition and awards throughout his academic journey, particularly during his time at Beijing University of Technology (BJUT) in China.

From September 2018 to June 2022, he was honored with the prestigious Chinese Government Scholarship at BJUT, showcasing his academic excellence and contributions. Subsequently, he received the Outstanding Graduate of 2022 Award in June 2022, further highlighting his exceptional academic performance.

His commitment to science and technology innovation is evident through multiple accolades, including the Science & Technology Innovation Award in May 2022 and again in June 2021 at BJUT. Additionally, he received the Special Research Contribution Award in both November 2021 and November 2020, recognizing his outstanding contributions to research.

Beyond academics, he actively participated in cultural events, receiving recognition for his role as the responsible person of his country’s booth and performer on cultural international day at BJUT in April 2019. His achievements also extend to non-academic spheres, such as receiving the dormitory excellent performance award on December 27, 2019, and achieving the 9th position in the Annual Sports event at BJUT on April 24, 2019.

These accolades collectively demonstrate his well-rounded achievements, encompassing academic excellence, research contributions, and active participation in cultural and extracurricular activities during his tenure at BJUT.

 

ACADEMIC EXPERIENCE AND ADMINISTRATIVE POSITIONS 

He has a comprehensive and diverse employment history, showcasing his commitment to academia and his contributions to the field of computer science. Currently, he holds the position of Assistant Professor of Computer Science (Part-time) at Prince Sultan University in Riyadh, Saudi Arabia, starting from August 2023. Simultaneously, he serves as an Assistant Professor of Computer Science at the University of Education in Lahore, a role he has held since December 2022. Within this position, he has taken on additional responsibilities as the Coordinator of the Information Technology and Computer Science Department in Pakistan. This role involves overseeing the Information Sciences Department at the Vehari Campus, where he has designed and taught a variety of undergraduate and graduate courses, covering topics ranging from Object-Oriented Programming to Research Methodology.

His earlier experiences include serving as a Lecturer of Computer Science at the University of Education in Lahore from March 2012 to June 2018. During this time, he also took on a visiting lecturer role at the National College of Business Administration & Economics (NCBAE) in Lahore, Pakistan, from September 2015 to August 2018. In these positions, he designed and taught courses, facilitated weekly lectures, and provided guidance to students at various academic levels.

Additionally, he served as a Lecturer and Academic Coordinator (Part-time) at Global Institute in Lahore, Pakistan, from January 2012 to July 2017. In this capacity, he was involved in algorithm development for new projects, overseeing hardware and software systems, and leading project teams to deliver solutions on time and within budget.

Throughout his work history, he has demonstrated a commitment to student engagement, innovative teaching methodologies, and effective coordination of academic departments, showcasing his expertise and dedication in the field of computer science.

 

Membership

In his editorial services, he actively contributes to the academic community through program and technical committee roles, notably in the International Conference on Frontier Computing (FC 2023) – WiDs at Prince Sultan University and the Seventh International Women in Data Science (WiDS) Conference in 2024. He extends his expertise to reviewing articles for esteemed journals such as PloSONE, The Journal of Supercomputer, Evolutionary Intelligence, COMPSAC, Imaging Science, Knowledge and Information Systems, Scientific Reports, and Heliyon.

His commitment to professional development is evident through his participation in various workshops and courses. Notably, he attended the Workshop on “Medical Image Processing with Python” at Prince Sultan University in Riyadh, Saudi Arabia, in June 2023. Additionally, he engaged in workshops covering diverse topics such as “Material State Awareness Defect Imaging Sizing & Characterization” in Beijing University of Technology, Beijing, China, and “The World’s Development of Non-Destructive & Evaluation of Trend Field” at the same institution in March 2019.

Other workshops include “Graph Convolutional Neural Network,” “Next Generation Cybersecurity Analytic Platform Big Data,” “Measuring Software Quality, Software Improvement Group,” and several others, demonstrating his continuous pursuit of knowledge and skill enhancement. These experiences contribute to his well-rounded professional profile, showcasing a dedication to staying current with advancements in his field and actively participating in the broader academic community.

INVITED TALKS AND PRESENTATIONS

He has been actively engaged in sharing his research findings and insights through invited talks and paper presentations at various international conferences. Notably, he presented a paper on “Breast Mass Detection and Classification Using Deep Convolutional Neural Networks for Radiologist Diagnosis Assistance” at the Computers, Software & Applications International Conference 2021 in Madrid, Spain, from July 12-16, 2021.

In a similar vein, he shared his expertise in a paper presentation on “A Robust CNN Model for Handwritten Digits Recognition and Classification” at the International Conference on Advances in Electrical Engineering and Computer Applications 2020 in Dalian, China, held from August 25-27, 2020.

He has also been invited to deliver talks on his research, including a presentation on “A Robust CNN Model for Handwritten Digits Recognition and Classification” at SEECT 2020 in Tianjin, China, on June 14, 2020. Additionally, he presented an invited talk titled “State-of-the-Art CNN-based Optimizer for Breast Lesions Segmentation and Classification in Mammogram Images” at Beijing University of Technology, China, on July 15, 2020.

His contributions extend to paper presentations, such as “3D Shape Retrieval Using Bag of Word Approaches” at the International Conference on Computing, Mathematics, and Engineering Technologies in 2019, held at Sukkur IBA University from June 30-31. Furthermore, he attended the International Conference on Bioinformatics and Biomedical Science 2019 at Beijing University of Technology, China, from October 23-25, 2019.

These talks and presentations underscore his active participation in the global scientific community, disseminating knowledge and contributing to advancements in the field of computer science and medical image analysis.

RESEARCH PROJECT

He is actively engaged in innovative research and development initiatives, contributing to advancements in healthcare and education. His work on Breast Cancer Detection involves leveraging computer vision and deep learning models, implemented with PyTorch and TensorFlow, to recognize cancer from medical images. This initiative holds the potential to revolutionize early breast cancer diagnosis, enhancing treatment outcomes.

With the project “My Antenatal Monitoring Assistant (MAMA),” he addresses the global challenges in maternal and fetal healthcare. Recognizing the critical issues that arise during pregnancy, such as complications leading to adverse outcomes for both the mother and infant, he aims to mitigate these challenges by employing technological solutions. The focus is on improving maternal lifestyle and increasing awareness about pregnancies to reduce associated risks.

The Skin Cancer Detector project showcases his commitment to simplifying healthcare procedures. By developing software that can detect skin cancer from images using computer vision, he aims to eliminate the need for painful and time-consuming laboratory tests, ultimately reducing the associated costs.

His initiative “Capturing Human Action for Smart Vehicles” is directed towards improving road safety. By developing a system that tracks eye movements, head movements, and gestures within specific time frames, he envisions a solution that alerts drivers to potential hazards. This aligns with the broader goal of enhancing safety in smart vehicles.

In the realm of education, his project “CMS for Graduate Students” involves developing a web-based Content Management System to store and manage graduate data according to the standards set by the National Computing Education Accreditation Council (NCEAC) and the Higher Education Commission (HEC).

Finally, his work on “Smart Medical Imaging Diagnostic (SMID)” reflects the integration of Artificial Intelligence (AI) with deep learning (DL) and machine learning (ML) algorithms for medical imaging analysis and classification. This initiative contributes significantly to the evolution of smart diagnostic tools in medical imaging, showcasing his dedication to leveraging technology for healthcare advancements.

Through these diverse projects, he demonstrates a holistic approach to leveraging technology for the betterment of healthcare practices and educational management. His innovative solutions have the potential to make a meaningful impact on early disease detection, maternal health, road safety, and academic data management.

 📚Top Noted Publication
Tariq Mahmood – Network Resilience- Best Researcher Award

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