Mr. Naseer Ahmed | Accelerator Award | Excellence in Innovation

Mr. Naseer Ahmed | Accelerator Award | Excellence in InnovationΒ 

Mr. Naseer Ahmed, Pakistan Atomic Energy Commission, Pakistan

Naseer Ahmed is an Electrical Power and Control System Engineer specializing in FPGA-based control systems for switch-mode power supplies. He holds a B.Sc. in Electrical Engineering from The Islamia University Bahawalpur (IUB) and an M.S. in Systems Engineering from the Pakistan Institute of Engineering and Applied Sciences (PIEAS). Since 2012, he has been serving as a Senior Engineer at the Pakistan Tokamak Plasma Research Institute, where he works on Verilog and VHDL programming for FPGA-based control systems, logic simulation, and PCB design using Altium. His expertise includes FPGA reconfigurable design, offering flexibility and precision in system development.

Professional Profile:

ORCID

Summary of Suitability for Excellence in Innovation

Naseer Ahmed demonstrates strong expertise in electrical power and control systems, with a particular focus on FPGA-based control systems for switch-mode power supplies. His experience at the Pakistan Tokamak Plasma Research Institute and his contributions to fusion engineering, high-voltage DC sources, and spherical tokamak studies highlight his research excellence.

πŸŽ“ Education:

πŸ“ BSc. Electrical Engineering – The Islamia University Bahawalpur (IUB) (2007–2011)

  • πŸ“ Location: Islamabad, Pakistan

  • πŸ† Grade: A

πŸ“ MS Systems Engineering – Pakistan Institute of Engineering and Applied Sciences (PIEAS) (2020–2022)

  • πŸ“ Location: Islamabad, Pakistan

  • πŸ“Š CGPA: 3.18

πŸ’Ό Work Experience:

πŸ‘¨β€πŸ’» Senior Engineer – Pakistan Tokamak Plasma Research Institute (Aug 2012 – Present)

  • πŸ”Ή Verilog HDL programming and logic simulation for Altera FPGAs using Quartus II software.

  • πŸ”Ή VHDL programming on ISE and Vivado Design Suites for Xilinx FPGAs.

  • πŸ”Ή PCB Design & Development on Altium for FPGA-based control cards.

πŸ… Achievements, Awards & Honors:

🌟 Expertise in FPGA-based control systems for switch-mode power supplies.
🌟 Successfully developed custom FPGA control solutions for advanced electrical systems.
🌟 Contributed to high-impact research in Tokamak Plasma Research using FPGAs.
🌟 Strong background in C programming, VHDL, and PCB design for embedded applications.

Publication Top Notes:

Design and development of FPGA based trigger system for automation of metallic tokamak (MT-I)

An Inverter-Fed Cockcroft-Walton Multiplier Based High Voltage DC Source for Tokamak

Start-Up Studies of GLAST-III Spherical Tokamak in the Presence of Poloidal Field

Assist Prof Dr. Qun Wei | Multimodal Award | Best Researcher Award

Assist Prof Dr. Qun Wei | Multimodal Award | Best Researcher AwardΒ 

Assist Prof Dr. Qun Wei, Dept. of Biomedical Engineering, Engineering College, Keimyung University, South Korea

Qun Wei, Ph.D., is an Assistant Professor and CEO at Clairaudience Co., Ltd., and is affiliated with the Department of Biomedical Engineering at the School of Medicine, Keimyung University. Born on October 22, 1984, in Shanghai, China, Dr. Wei holds a Ph.D. in Electronics Engineering from Kyungpook National University, where his research focused on developing a non-intermediary binaural hearing aid with adjustable latency compensation. He also earned his MS and BS in Electronics Engineering and Computer Science from the same institution. Dr. Wei has extensive academic and research experience, having served as a lecturer and teaching assistant at various institutions, including Yeung Jin College and Yeungnam University College. Additionally, he is the Deputy Director of the Center for International Cooperation at Keimyung University. Fluent in Chinese, English, and Korean, Dr. Wei’s work spans video systems, biomedical engineering, and telemetry systems, and he actively contributes to both academic research and industry innovations.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award:

Dr. Qun Wei, an Assistant Professor at Keimyung University and CEO of Clairaudience Co., Ltd., is a strong candidate for the Best Researcher Award. His diverse academic background in Electronics Engineering and Biomedical Engineering, along with his notable research contributions, underline his exceptional qualifications for this recognition.

Education

  • Ph.D. in Electronics Engineering (Sep 2010 – Aug 2014)
    IT College, Kyungpook National University, Daegu, South Korea
    Major: Video System and Biomedical Engineering
    Thesis: Development of Non-Intermediary Binaural Hearing Aid with Adjustable Latency Compensation in Multi-Media Hearing Environment
    Supervisor: Ph.D. Jin-Ho Cho πŸ“š
  • MS in Electronics Engineering and Computer Science (Sep 2008 – Aug 2010)
    Kyungpook National University, Daegu, South Korea
    Major: Video System and Biomedical Engineering
    Thesis: A Telemetry System to Detect Liquid Level of Plastic Bag Intravenous Set using Capacitive Sensor
    Supervisor: Ph.D. Jin-Ho Cho πŸ“š
  • BS in Electronics Engineering and Computer Science (Sep 2004 – Aug 2008)
    Kyungpook National University, Daegu, South Korea πŸŽ“

Academic Employment

  • Assistant Professor (Mar 2015 – present)
    Department of Biomedical Engineering, School of Medicine, Keimyung University, Daegu, South Korea πŸ₯
  • Deputy Director (Feb 2020 – present)
    Center for International Cooperation, International Office, Keimyung University, Daegu, South Korea 🌐
  • Researcher
    Institute of Biomedical Engineering Research, Kyungpook National University, Daegu, South Korea πŸ”¬
  • Lecturer
    School of Electrical Engineering, Yeung Jin College, Daegu, South Korea 🏫
  • Lecturer
    Division of Electronics and Information Engineering, Yeungnam University College, Daegu, South Korea πŸ“˜
  • Teaching Assistant
    Department of Electronics Engineering, IT College, Kyungpook National University, Daegu, South Korea πŸ“

Dr. Qun Wei is recognized for his contributions to biomedical engineering and his innovative research in hearing aids and telemetry systems. His work bridges academic excellence with practical applications in healthcare technology.

Publication top Notes:

DDM-HSA: Dual Deterministic Model-Based Heart Sound Analysis for Daily Life Monitoring

Novel Design of a Multimodal Technology-Based Smart Stethoscope for Personal Cardiovascular Health Monitoring

Development of a Finger-Ring-Shaped Hybrid Smart Stethoscope for Automatic S1 and S2 Heart Sound Identification

Topography and Anatomical Variations of the Axillary Artery

Designing a Smart Bath Assistive Device Based on Measuring Inner Water Temperature for Bathing Temperature Monitoring

Development of a Wireless Health Monitoring System for Measuring Core Body Temperature from the Back of the Body

Best Sensor Security Technology

Introduction Best Sensor Networking Technology

The Best Sensor Security Technology Award recognizes innovative advancements in sensor technology that enhance security measures across various industries. This prestigious award celebrates groundbreaking solutions that demonstrate exceptional reliability, efficiency, and effectiveness in detecting and preventing security breaches.

About the Award:

The ‘Best Sensor Security Technology‘ award is open to individuals and teams worldwide, regardless of age, who have made significant contributions to the field of sensor security technology. Eligible candidates must have a background in sensor technology, security, or related fields, and their work must have been published or implemented in real-world applications..

Eligibility:
  • Open to individuals, research teams, and organizations worldwide.
  • No age limits or specific qualifications required.
  • Publications related to sensor technology and security are highly valued.
  • Submissions must meet the specified requirements and evaluation criteria.
Requirements:
  • Submit a detailed description of the sensor technology, including its functionality and impact on security.
  • Provide evidence of the technology’s effectiveness through case studies or experimental data.
  • Include any relevant publications or patents related to the sensor technology.
Evaluation Criteria:
  • Innovation and originality of the sensor technology.
  • Practicality and scalability of the technology.
  • Impact and potential benefits to the security industry.
  • Technical excellence and reliability of the technology.
Submission Guidelines:
  • Submit a comprehensive proposal detailing the sensor technology and its application in security.
  • Include supporting documents such as publications, patents, and case studies.
  • Ensure all submissions are in English and meet the specified format requirements.
Recognition:
  • Winners will receive a prestigious award certificate and recognition at a special awards ceremony.
  • The winning sensor technology will be featured in prominent industry publications and websites.
Community Impact:
  • The Best Sensor Security Technology Award aims to inspire innovation and collaboration in the security industry, leading to enhanced security measures worldwide.
  • Winners will have the opportunity to showcase their technology to a global audience of industry leaders and experts.
Biography:
  • Submit a brief biography highlighting your professional background and expertise in sensor technology and security.
Abstract and Supporting Files:
  • Include an abstract summarizing the key features and benefits of the sensor technology.
  • Include any supporting files such as diagrams, videos, or technical specifications that demonstrate the functionality of the technology.