Zhiqi Wu | Engineering | Best Researcher Award

Ms. Zhiqi Wu | Engineering | Best Researcher Award

Student at Anhui University of Science and Technology | China

Zhiqi Wu is a Master’s student in Electrical Engineering at Anhui University of Science and Technology, specializing in computer vision applications for intelligent coal gangue detection. His research emphasizes developing lightweight, high-performance models that improve automation and efficiency in mining operations. Zhiqi proposed a novel model integrating multispectral imaging with knowledge distillation, achieving a precision increase of up to 6% while reducing model size by 21.8%, enabling deployment on mobile and edge devices for real-time sorting. This approach advances intelligent coal industry practices by combining computational efficiency with practical industrial applicability. Zhiqi’s work exemplifies the translation of advanced AI techniques into actionable solutions for industrial automation, with a focus on scalability, accuracy, and sustainability. His contributions are recognized in the research community, with 1 citation for his published work, highlighting its impact and relevance. To date, he has contributed to 4 documents in his research portfolio, reflecting his engagement in ongoing innovation and knowledge dissemination. While his h-index currently stands at 1, it represents a promising start in a career dedicated to applied AI in mining technologies. Zhiqi continues to explore methods for optimizing computer vision systems in industrial contexts, advancing automation, operational safety, and resource efficiency. His work bridges theoretical research and practical deployment, positioning him as an emerging researcher making measurable contributions to intelligent mining technologies.

Profile:Β Scopus

Featured Publications

Yan, P. (2025). Transformer fault diagnosis based on LIF technology and COA-GRU algorithm. Engineering Research Express, 7(2), 25409.

Nawaz Ali | Engineering | Best Researcher Award

Mr. Nawaz Ali | Engineering | Best Researcher Award

Student at University of Calabria, Sweden

Nawaz Ali is a telecommunications engineer, researcher, and academic with extensive experience in telecommunication networks, database management, and technical education. He has worked in various capacities, including industry roles in GSM networks, IT assistance, and academia, where he has contributed to research and curriculum development. His research interests focus on wireless communications, cognitive radio, vehicular networks, and cloud-based applications.

Publication ProfileΒ 

Google Scholar

Educational Background πŸŽ“

  1. Master of Science in Applied Telecommunications and Engineering Management (MASTEAM)

    • Polytechnic University of Catalonia (BarcelonaTech), Spain (2017-2018)

    • Thesis: Performance Comparison of a Platooning Scenario Using EE 802.11p

  2. Master of Science in Mobile and Satellite Communication

    • University of Surrey, UK (2009-2010)

    • Thesis: Performance Evaluation of Spectrum Sensing Techniques in Cognitive Radio

  3. Bachelor of Engineering in Telecommunication Engineering

    • Mehran University of Engineering & Technology, Pakistan (2004-2007)

    • Thesis: Block Error Rate Analysis for WCDMA

  4. Certifications & Training:

    • 5G Implementation: Practices and Case Studies (ITU/Universiti Teknologi Malaysia, 2021)

    • Introduction to Internet of Things (IoT) Certification (Simplilearn, 2021)

    • Wireless Networks Certification Training (CellCom, 2005)

    • Optical Fiber Specialization (NA Telecom Technologies, 2006)

    • CCNA 5.0 (Computer Training and Testing Center, 2006)

    • Graduate Record Examination (GRE) (Score: 329/340)

Professional Experience πŸ’Ό

  1. Assistant Professor (2014 – Present)

    • Quaid-e-Awam University of Engineering, Science & Technology (Pakistan)

    • Teaching and supervising projects related to telecommunication engineering.

  2. Director Skill Standards & Curricula (BS-19) (2013)

    • National Vocational & Technical Training Commission (Pakistan)

    • Developed national occupational standards and curricula for technical training programs.

  3. Assistant Professor (2011-2013)

    • Quaid-e-Awam University of Engineering, Science & Technology (Pakistan)

    • Delivered courses in telecommunication engineering.

  4. IT Assistant (2009-2010)

    • Shabester-Accountants & Tax Advisors (UK)

    • Managed database security, recovery, and user training.

  5. BSS Engineer (2008-2009)

    • Egyptian Pakistani Telecommunications Services (EPTSC) (Pakistan)

    • Installed and maintained GSM networks and microwave transmission links.

Research Interests πŸ”¬

  • Wireless Communication Networks

  • Cognitive Radio & Spectrum Sensing

  • Internet of Things (IoT)

  • Vehicular Ad-Hoc Networks (VANETs)

  • Machine Learning for Communication Systems

Awards and HonorsπŸ†βœ¨

  • Secured research grants and collaborations in telecommunications.

  • Recognized for contributions to vocational education and training programs.

  • High GRE score (329/340).

Conclusion🌟

Nawaz Ali is an accomplished telecommunications engineer, educator, and researcher with expertise in mobile communication, network security, and IoT applications. His work spans both academia and industry, focusing on wireless networks and emerging technologies. His contributions to curriculum development and technical training have played a crucial role in advancing vocational and higher education in telecommunications.

Publications πŸ“š

πŸ“Œ Dynamic Application Partitioning and Task-Scheduling Secure Schemes for Biosensor Healthcare Workload in Mobile Edge Cloud
πŸ“– A. Lakhan, J. Li, T.M. Groenli, A.H. Sodhro, N.A. Zardari, A.S. Imran, …
πŸ“š Electronics 10(22), 2797 (2021)
πŸ“Š Citations: 30


πŸš— Adaptive Mobility-Aware and Reliable Routing Protocols for Healthcare Vehicular Network
πŸ“– N.A. Zardari, R. Ngah, O. Hayat, A.H. Sodhro
πŸ“š Mathematical Biosciences and Engineering 19(7), 7156-7177 (2022)
πŸ“Š Citations: 18


πŸ“‘ Spectrum Sensing in ISM Band Using Cognitive Radio
πŸ“– N. Sohu, N.A. Zardari, M.A. Rahu, A.A. Mirani, N.H. Phulpoto
πŸ“š Quaid-E-Awam University Research Journal of Engineering, Science … (2019)
πŸ“Š Citations: 11


πŸ–₯ Implementation of Huffman Decoder on FPGA
πŸ“– S.A. Dahri, A.F. Chandio, N.A. Zardari
πŸ“š International Journal of Engineering Research & Applications 6(1), 84-88 (2016)
πŸ“Š Citations: 2


☁️ Simulators for System Dataset Generation in the Edge-to-Cloud Continuum
πŸ“– N. Ali, G. Aloi, P. Pace, M. Gianfelice, F. Pupo, R. Gravina, G. Fortino
πŸ“š 20th International Conference on Distributed Computing in Smart Systems (2024)
πŸ“Š Citations: 1


🏭 Edge-Cloud Continuum Driven Industry 4.0
πŸ“– N. Ali, G. Aloi, F. De Rango, C. Savaglio, R. Gravina
πŸ“š Procedia Computer Science 253, 2586-2594 (2025)


🎨 Design and Development of GUI for the Mitigation of Chromatic Dispersion: A New Approach
πŸ“– B. Das, N.A. Zardari, F. Deeba, D.K. Ramnani
πŸ“š Sukkur IBA Journal of Emerging Technologies 5(1), 19-31 (2022)