Mudassar Ali | Tumor Detection | Best Researcher Award

Mr. Mudassar Ali, Zhejiang University, China.

Mudassar Ali is an experienced IT professional and educator with a focus on Information and Electronics Engineering. He holds a Ph.D. from Zhejiang University, China, and has worked in various technical and managerial roles across diverse sectors, including telecommunications and education. Mudassar has contributed to multiple research projects and conferences, particularly in IoT, wireless communication, and vehicle security systems. With strong organizational and leadership skills, Mudassar is passionate about technology and its practical applications. He is also an active participant in community-building activities through his involvement in social media and various academic initiatives.

Professional Profile:

Orcid

Education and Experience

Ph.D. in Information and Electronics Engineering – Zhejiang University, Hangzhou, China
MS in Electronics and Communication Engineering – Beijing University of Posts and Telecommunication, Beijing, China
BS in Telecommunication – Iqra National University, Peshawar, Pakistan
Assistant IT Administrative Officer – Ufone PTML, Lahore, Pakistan
Lecturer, Computer Science – IQRA National University, Peshawar, Pakistan
IT Officer – Liaison Corporation, Peshawar, Pakistan
Internship – Khyber Pakhtunkhwa Information Technology Board, Peshawar, Pakistan

Suitability for the Award

Mr. Mudassar Ali is a distinguished researcher and academic, making significant contributions to the fields of Information and Electronics Engineering, Telecommunications, and Internet of Things (IoT). With a Ph.D. from Zhejiang University (China) and an MS from Beijing University of Posts and Telecommunication (China), Mudassar has demonstrated an unwavering commitment to advancing technology through research and innovation. His work has addressed key challenges in vehicle security, wireless communication, machine learning, and IoT, earning him recognition in prestigious international conferences and academic circles. Mudassar’s expertise, combined with his academic leadership and practical applications, make him an ideal nominee for the Best Researcher Award.

Professional Development

Mudassar Ali is committed to professional development through continuous learning and certifications. He has a professional certification in Web Technologies from the IT Excellence Centre, KPK, which has enhanced his understanding of web applications. His research and academic pursuits, including his master’s thesis on IoT and Ph.D. research on indoor localization, have sharpened his technical skills, especially in software application development and project management. Mudassar’s participation in conferences, such as the IEEE International Conference on Emerging Technologies and the International Bhurban Conference, demonstrates his ongoing contributions to the tech community.

🏅Awards and Honors

Accepted paper on “Nearest Mosques and Prayer Times Using Mobile GPS” – 15th IEEE International Conference on Emerging Technologies (ICET)
Performance Analysis of TCP and F-TCP for wireless communication – 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)
Land Use and Land Cover Classification using Artificial Neural Networks – 16th IBCAST Islamabad
Professional Certification in Web Technologies – IT Excellence Centre, Government of KPK

🔬Research Focus

Mudassar Ali’s research focuses primarily on Information and Electronics Engineering, with a strong emphasis on Internet of Things (IoT), wireless communication, and vehicle security systems. His doctoral research at Zhejiang University explored advanced methods for indoor localization using IoT, while his master’s thesis focused on innovative applications of the 4 APs for indoor positioning. Additionally, his work on GPS-based vehicle security and accident detection systems showcases his interest in practical applications of technology in enhancing everyday life. Mudassar’s interdisciplinary research contributes to both technological development and the security domain.

Publication Top Notes:

Segmentation of MRI tumors and pelvic anatomy via cGAN-synthesized data and attention-enhanced U-Net (2025) – DOI: 10.1016/j.patrec.2024.11.003
Breast tumor segmentation using neural cellular automata and shape guided segmentation in mammography images (2024) – DOI: 10.1371/journal.pone.0309421
Performance Analysis of Simple TCP and F-TCP for Smooth Connectivity in Wireless Communication (2019) – DOI: 10.1109/ibcast.2019.8667196