Ms. Elahe Afsharmanesh | Smart Sensors Awards | Best Researcher Award

Posted on by Global Sensor Awards

Ms. Elahe Afsharmanesh | Smart Sensors Awards | Best Researcher Award 

Ms. Elahe Afsharmanesh, Shahrood University of Technology, Iran

Elahe Afsharmanesh is a Ph.D. candidate in Nano Physics at Shahrood University of Technology, Iran, where she has been conducting research since September 2021. Her doctoral thesis focuses on the study of gas and photo sensing properties of nanostructures and nano-heterostructures based on SnO2, under the supervision of Prof. Hamid Haratizadeh. Elahe holds a Master of Science degree in Solid State Physics from the Islamic Azad University, Science & Research branch, Tehran, where she completed her thesis on the optical and morphological properties of ZnO/CNTs nanocomposites and their application in electrochemical sensors. She graduated with an outstanding GPA of 19.20/20.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award

Elahe Afsharmanesh, a Ph.D. candidate in Nano Physics at Shahrood University of Technology, Iran, is an outstanding candidate for the Best Researcher Award due to her exceptional research contributions, academic excellence, and deep involvement in the field of gas/photo sensing and nanomaterials. Her research, particularly on the design and application of metal oxide semiconductor sensors, 2D materials, and nanocomposites, has significant implications for advancing sensor technologies and their real-world applications.

Education:

  • Ph.D. Candidate in Nano Physics
    Sep. 2021 – Present
    Shahrood University of Technology, Shahrood, Iran
    Thesis Title: Study of Gas / Photo Sensing Properties of Nanostructures and Nano-Heterostructures Based on SnO2
    Supervisor: Prof. Hamid Haratizadeh
  • Master of Science in Solid State Physics
    Feb. 2011 – Feb. 2013
    Islamic Azad University, Science & Research Branch, Tehran, Iran
    Thesis Title: Carbon Nanotubes Supporting Effect for Optical and Morphological Properties of ZnO/CNTs Nanocomposite and Its Application in Electrochemical Sensors
    Supervisor: Dr. A. Pahlavan
    GPA: 19.20/20

🔬 Research Interests:

  • Metal Oxide Semiconductor Gas Sensors
  • 2D Materials & Nanocomposite Sensors
  • Fabrication of Wearable & Flexible Sensors
  • E-Nose & Smart Gas Sensors

🛠️ Laboratory Skills:

  • CVD & CBD Synthesis
  • Sputtering & Electrodeposition
  • Spin & Deep Coating
  • Nano Powder Synthesis & Coating
  • Sensor Device Fabrication

📚 Previous Experience:

  • High School Teacher, Sari, Iran
  • Scientific Member, Student Research Institute, Sari, Iran

Publication top Notes:

Self-powered, highly selective and fast response time ammonia gas sensors based on an rGO/SnO2 nanocomposite

An improved electrochemical sensor based on triton X-100 functionalized SnO2 nanoparticles for ultrasensitive determination of cadmium

Synthesis of CdO nanoparticles using direct chemical precipitation method: Fabrication of novel voltammetric sensor for square wave voltammetry determination of chlorpromazine in pharmaceutical samples

Electrochemical behavior of morphine at ZnO/CNT nanocomposite room temperature ionic liquid modified carbon paste electrode and its determination in real samples

Mr. Dezhi Zheng | Smart Sensors Awards | Best Researcher Award

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Mr. Dezhi Zheng | Smart Sensors Awards | Best Researcher Award

Mr. Dezhi Zheng, Beijing Institute of Technology, China

Dr. Dezhi Zheng is a distinguished Professor and Doctoral Supervisor at the Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology. He received his Ph.D. in Precision Instruments and Machinery and his B.S. in Mechanical Engineering and Automation from Beihang University. With a career spanning roles from Lecturer to Associate Professor at the School of Instrumentation and Optoelectronic Engineering at Beihang University, and a Visiting Scholar at the University of Victoria, Dr. Zheng has made significant contributions to airborne information detection, extreme signal measurement technology, and sensor-sensitive mechanisms. His research, focused on national strategic needs, has advanced the theoretical and applied aspects of precise sensing for weak physical features. Key achievements include innovations in resonant sensor technology to enhance aircraft altitude measurement, ultra-low frequency vibration sensor calibration for explosion monitoring, and wearable sensing devices that address long-term usability in brain-computer interfaces. With over 70 academic publications, 30 invention patents, and participation in more than 30 national research projects, Dr. Zheng’s work has had impactful applications in resonant sensors, low-frequency vibration technology, and smart wearable devices.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Professor Dezhi Zheng, affiliated with the Advanced Research Institute of Multidisciplinary Sciences at Beijing Institute of Technology, has a distinguished profile that aligns well with the criteria for the Best Researcher Award.

🎓 Education

  • 2000-2006: Ph.D. in Precision Instruments and Machinery, Beihang University 🛠️
  • 2008-2012: B.S. in Mechanical Engineering and Automation, Beihang University 🧑‍🎓

🔬 Research Interests

  • 📡 Airborne Information Detection
  • 🛰️ Extreme Signal Measurement Technology
  • 🎛️ Sensor Sensitivity Mechanism

🔍 Research Highlights

Prof. Zheng’s research addresses major national strategic needs in precise sensing technology and weak physical feature applications. Notable achievements include:

  • ✈️ Enhanced Aircraft Altitude Measurement: Developed resonant sensor technologies that improve flight height measurement by nearly an order of magnitude
  • 🌋 Ultra-Low Frequency Vibration Measurement: Pioneered ultra-low frequency sensors for explosion vibration, achieving precise calibration at 0.01Hz
  • 🧠 Wearable Bioelectrical Sensing: Innovated wearable, long-use sensors for brain-computer interfaces, enabling breakthrough applications in wearable tech

🏆 Key Contributions

  • Led research applied in resonant sensors, low-frequency vibration calibration, and smart helmets 🪖
  • Solved technical challenges including sensor device coupled vibration, nonlinear measurement, and dynamic response 🌐
  • Participated in 30+ national research projects
  • Published 70+ academic papers 📄
  • Authorized 30+ invention patents 🔑

Publication top Notes:

UniRTL: A universal RGBT and low-light benchmark for object tracking

Adaptive temperature compensation for MoS2 humidity sensor in complex environments using ISSA-BP neural network

Catadioptric omnidirectional thermal odometry in dynamic environment

A hybrid method for asynchronous detection of motor imagery electroencephalogram fusing alpha rhythm and movement-related cortical potential

Investigation of the morphology and structural transformation of 6H-SiC induced by a single femtosecond laser pulse

Nuclei engineering for even halide distribution in stable perovskite/silicon tandem solar cells

Dr. QingYang Ding | Smart Sensors Awards | Best Researcher Award

Posted on by Global Sensor Awards

Dr. QingYang Ding | Smart Sensors Awards | Best Researcher Award 

Dr. QingYang Ding, Beijing Union University, China

Ding Qingyang is a lecturer and Master’s Advisor with a distinguished career as a senior machine learning engineer. He earned his Ph.D. from the Central University of Finance and Economics in Beijing, China. An active member of the China Computer Association, the Higher Education Association, and the Blockchain Committee of the China Mobile Communication Association, Ding’s research interests span the smart Internet of Things, blockchain technology and its applications, as well as data mining and analysis. He has successfully led a general science and technology project funded by the Beijing Municipal Education Commission and contributed to several provincial and ministerial projects, including national key research and development initiatives and funding from the National Social Science Fund, Beijing Social Science Fund, and Beijing Natural Science Fund. With over 20 academic publications, one monograph, and applications for three national invention patents and two software copyrights, Ding Qingyang has made significant contributions to his fields of expertise.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Qingyang Ding is a lecturer and Master’s advisor with a strong academic background and professional experience in machine learning, blockchain, and the Internet of Things (IoT). He earned his Ph.D. from the Central University of Finance and Economics, Beijing, and is actively involved in various professional organizations such as the China Computer Federation and Blockchain Committee of China Mobile Communication Association.

Education:

  • Ph.D. in [specific discipline not mentioned] from the Central University of Finance and Economics, Beijing, China.

Work Experience:

  • Lecturer and Master’s Advisor with a focus on technology and engineering.
  • Senior Machine Learning Engineer with extensive industry and academic experience in AI and data technologies.
  • Professional Member of:
    • China Computer Association
    • Higher Education Association
    • Blockchain Committee of China Mobile Communication Association

Publication top Notes:

A Resource Allocation Algorithm for Cloud-Network Collaborative Satellite Networks with Differentiated QoS Requirements

Impact of Perceived Value and Community Attachment on Smart Renovation Participation Willingness for Sustainable Development of Old Urban Communities in China

Blockchain Empowered Reliable Federated Learning by Worker Selection: A Trustworthy Reputation Evaluation Method

OBBC: A Blockchain-Based Data Sharing Scheme for Open Banking

Permissioned Blockchain-Based Double-Layer Framework for Product Traceability System