Mudassar Ali | Tumor Detection | Best Researcher Award

Mudassar Ali | Tumor Detection | Best Researcher Award

Mr. Mudassar Ali, Zhejiang University, China.

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 💻

🏅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 📡