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

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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

Dr. Yizhou Ye | Silicon Sensors Award | Best Researcher Award

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Dr. Yizhou Ye | Silicon Sensors Award | Best Researcher Award 

Dr. Yizhou Ye, Chongqing University, China

Yizhou Ye received his B.S. and Ph.D. degrees in Electronics Engineering from Southeast University, Nanjing, China, in 2013 and 2018, respectively. He is currently serving as an Assistant Professor at the College of Optoelectronic Engineering, Chongqing University. His research focuses on MEMS sensors, self-powered sensing technologies, and flexible sensors.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Yizhou Ye holds a B.S. and Ph.D. in electronics engineering from Southeast University, Nanjing, China, and currently serves as an Assistant Professor at the College of Optoelectronic Engineering, Chongqing University. His research focuses on cutting-edge fields such as MEMS sensors, self-powered sensing, and flexible sensors—areas of high impact in modern sensor technology, wearable devices, and environmental monitoring.

Education:

  • Bachelor of Science (B.S.) in Electronics Engineering from Southeast University, Nanjing, China (2013).
  • Ph.D. in Electronics Engineering from Southeast University, Nanjing, China (2018).

Work Experience:

  • Assistant Professor at the College of Optoelectronic Engineering, Chongqing University, China.
    • Areas of interest: MEMS sensors, self-powered sensing, and flexible sensors.

Publication top Notes:

A biocompatible, degradable, and recyclable photothermal actuator

A Low-Power and Robust Micromachined Thermal Convective Accelerometer

Fabrication and Characterization of a MEMS Thermal Convective Accelerometer on Silicon-in-Glass Substrate

Skin-Inspired Ultrafast Self-Healing Wearable Patch with Hybrid Cooling for Comfortable and Durable Electromyographic Monitoring

A highly linear stretchable MXene-based biocompatible hydrogel–elastomer hybrid with tissue-level softness

A Frequency-Detection-Type Photoelectric Anemometer

 

Dr. Rui Feng | Metasensor Award | Best Researcher Award

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Dr. Rui Feng | Metasensor Award | Best Researcher Award

Dr. Rui Feng, North University of China, China

Rui Feng, born on April 11, 1993, is a distinguished academic currently serving as a lecturer at North University of China since July 2022. He holds a Doctorate in Electronics and Optoelectronics, specializing in Nano- and Microtechnologies from Paris-Saclay University, completed in July 2022. Concurrently, he earned a combined Master and Doctor degree in Communication and Information Systems from the School of Communication Engineering at Xidian University, where he studied from September 2016 to July 2022. Rui Feng also holds a Bachelor’s degree in Communication Engineering from the School of Electronics and Physics at Shandong University of Science and Technology, obtained in July 2016. Throughout his academic journey, Rui has received numerous accolades, including multiple first and second prizes in student scholarships and national competitions. His notable achievements include the National Encouragement Scholarship, the Innovation Fund of Xidian University, and the Chinese Government Scholarship of the China Scholarship Council. His extensive research and educational background highlight his expertise and contributions to the fields of electronics, optoelectronics, and communication engineering.

Professional Profile:

 

GOOGLE SCHOLAR

 

Education and Work:

  • July 2022 – Present: Lecturer, North University of China 🏫
  • Nov 2018 – July 2022: Doctorate in Electronics and Optoelectronics, Nano- and Microtechnologies, Paris-Saclay University 🌍
  • Sept 2016 – July 2022: Combined Master and Doctorate in Communication and Information System, School of Communication Engineering, Xidian University 📡
  • Sept 2012 – July 2016: Bachelor’s Degree in Communication Engineering, School of Electronics and Physics, Shandong University of Science and Technology 🎓

Awards & Honors:

  • Bachelor’s Degree:
    • 2013: 2nd Prize, Student Scholarship of SDUST 🎖️
    • 2014: 1st Prize, Student Scholarship of SDUST 🏅
      • National Encouragement Scholarship 🥇
      • 1st Prize, Robot Competition in Shandong Province 🤖
      • 1st Prize, National Information Technology Application Level Competition 🖥️
    • 2015: 1st Prize, National Undergraduate Electronics Design Contest in Shandong Province 🏆
      • 1st Prize, Student Scholarship of SDUST 🎖️
    • 2016: Outstanding Graduates in Shandong Province 🏅
  • Combined Master and Doctorate:
    • 2016: 1st Prize, Student Scholarship of XDU 🥇
    • 2018: The Innovation Fund of XDU 💡
      • Doctoral Students’ Short-Term Study Abroad Scholarship Fund 🌐
      • 1st Prize, Student Scholarship of XDU 🏆
    • 2019: Chinese Government Scholarship of China Scholarship Council 🇨🇳

Mr. Rui Feng is a dedicated and accomplished lecturer at North University of China, with a strong academic background and numerous awards in electronics, optoelectronics, and communication engineering. His impressive achievements and contributions to his field highlight his commitment and passion for innovation and education.

 

Publication top Notes:

Outstanding tensile properties of a precipitation-strengthened FeCoNiCrTi0. 2 high-entropy alloy at room and cryogenic temperatures

CITED : 442

Lattice distortion in a strong and ductile refractory high-entropy alloy

CITED : 423

Gradient cell–structured high-entropy alloy with exceptional strength and ductility

CITED : 373

Fundamental deformation behavior in high-entropy alloys: An overview

CITED : 338

Homogenization of AlxCoCrFeNi high-entropy alloys with improved corrosion resistance

CITED : 330

Prof Dr. Sangook Moon | Ultrasonic Sensor | Best Researcher Award

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Prof Dr. Sangook Moon | Ultrasonic Sensor | Best Researcher Award 

Prof Dr. Sangook Moon, Mokwon University, South Korea

Dr. Sangook Moon is an Associate Professor in the Department of Electrical & Electronic Engineering at Mokwon University, Korea. Born in 1971, Dr. Moon has established a notable career in electronic engineering with a focus on cryptography and VLSI design. He completed his B.S., M.S., and Ph.D. in Electronic Engineering from Yonsei University, Seoul, Korea. His Ph.D. dissertation, titled “Design and Implementation of Fast VLSI Algorithms for Elliptic Curve Cryptography Processor,” was supervised by Dr. Yong Surk Lee.Dr. Moon has been with Mokwon University since 2004, progressing from Assistant Professor to Associate Professor. His research projects include the development of next-generation academic intranet frameworks, encryption and physical safety devices for STPM applications, and real-time processing technology for lattice cryptography. He has also worked on projects aimed at improving industrial processes and developing mobile healthcare devices.In addition to his academic roles, Dr. Moon has industry experience as a Senior Engineer at Hynix Semiconductor, where he developed Bluetooth baseband cores. He has also served as a visiting scholar at Virginia Polytechnic Institute and State University. Dr. Moon’s technical skills encompass Verilog, VHDL, Synopsys Design Analyzer, and various other design and development tools.

Professional Profile

🎓 Education

  • Ph.D., Electrical & Electronic Engineering (2002)
    Yonsei University, Seoul, Korea
    Dissertation: Design and Implementation of Fast VLSI Algorithms for Elliptic Curve Cryptography Processor
    Advisor: Dr. Yong Surk Lee
  • M.S., Electronic Engineering (1997)
    Yonsei University, Seoul, Korea
    Thesis: A Prefetch Architecture with Efficient Branch Prediction for a 64-bit 4-way Superscalar Microprocessor
    Advisor: Dr. Yong Surk Lee
  • B.S., Electronic Engineering (1995)
    Yonsei University, Seoul, Korea
    Report: A Study of a Digital Voice Recorder Based on Adaptive Delta Modulation
    Advisor: Dr. Mignong Park

🛠 Experience

  • Mokwon University (2004-Present)
    Assistant Professor, Associate Professor, Full Professor
    Key Projects:

    • Development of Next-Generation Academic Intranet Framework
    • Design of Encryption, TRNG, and Physical Safety Device for STPM Application
    • Development of Real-Time Processing Technology of Lattice Cryptography
    • Ultra-Low Power Wireless Monitoring-Based Remote Diagnostic Technology for Secondary System Devices
  • Visiting Scholar (2010-2011, 2017-2018)
    Department of ECE, Virginia Polytechnic Institute and State University
  • Senior Engineer (2002-2004)
    Bluetooth Development Team, Hynix Semiconductor
    Key Projects:

    • HBN3031 Bluetooth Baseband Single (with RF integrated) Chip
    • HBN3011 Bluetooth Baseband Controller
  • Research Assistant (1995-2001)
    Department of Electronic & Electrical Engineering, Yonsei University
    Research Topics:

    • Design and Implementation of an Encryption Processor for Elliptic Curve Cryptosystem
    • Research on DES, RSA Cryptographic Algorithms
    • Research on a Floating Point Unit Design
    • Full Custom Design of a 17b*17b Booth’s Multiplier
    • Research on a Prefetch Unit Suitable for SPARC-V9 RISC Processor
    • Study on SRT Divider Algorithm
  • Teaching Assistant (1995-1996)
    Yonsei University
    Courses:

    • Basic VLSI Design
    • Advanced Microelectronics
    • Computer Architecture

💻 Skills

  • Verilog, VHDL
  • Synopsys Design Analyzer
  • Cadence Opus
  • PrimeTime
  • ModelSim

Publications Notes:📄

Securing Infrared Communication in Nuclear Power Plants: Advanced Encryption for Infrared Sensor Networks

Self-reconfiguring Pseudo Random Address Generator for Secure Infrared Communication

Proxy bits for low cost floating-point fused multiply-add unit

Memory saving architecture of number theoretic transform for lattice cryptography

Embedded network camera processor system on a chip for various low-power multimedia applications

Design of a robust normal distribution sampler for ring-learning-with-errors cryptographic scheme

 

 

 

 

 

 

 

 

Prof. Neng-Chung Wang | Sensor Networks | Best Researcher Award

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Prof. Neng-Chung Wang | Sensor Networks | Best Researcher Award

Prof. Neng-Chung Wang, National United University, Taiwan

Neng-Chung Wang is a distinguished professor in the Department of Computer Science and Information Engineering at National United University, Taiwan. He has been a prominent figure in academia, contributing significantly to the fields of wireless networks, mobile computing, Internet of Things (IoT), cloud computing, and artificial intelligence.Dr. Wang’s academic journey began with a Bachelor of Science in Information and Computer Engineering from Chung Yuan Christian University, followed by a Master’s and Ph.D. in Computer Science and Information Engineering from National Cheng Kung University. His educational background laid a robust foundation for his subsequent research and teaching career.With over two decades of experience in academia, Dr. Wang has held various roles at National United University, including Assistant Professor, Associate Professor, Chairman of the Department of Computer Science and Information Engineering, and currently as Professor since 2011. He also served as Division Chief at the Administrative Information Division of the Computer Center at National United University and held a faculty position at Chaoyang University of Technology.

Professional Profile

Education 🎓

  • Ph.D., Computer Science and Information Engineering, National Cheng Kung University (1998/9 – 2002/6)
  • M.S., Computer Science and Information Engineering, National Cheng Kung University (1996/9 – 1998/6)
  • B.S., Information and Computer Engineering, Chung Yuan Christian University (1986/9 – 1990/6)

Research Interests 💡

  • Wireless Networks 📶
  • Mobile Computing 📱
  • Internet of Things (IoT) 🌐
  • Cloud Computing ☁️
  • Artificial Intelligence 🤖

Awards and Honors 🏆

  • Outstanding Research Award, School of Electrical and Computer Science, NUU (2023, 2021, 2015)
  • Dedication Mentor Award, NUU (2023)
  • Excellent Teacher Award, School of Electrical and Computer Science, NUU (2022, 2011)
  • Awards for University Social Responsibility and Outstanding Performance in School Affairs, NUU (2021)
  • Best Oral Presentation Award, Workshop on Consumer Electronics (WCE), Taiwan (2021)
  • Excellent Paper Award, Workshop on Wireless, Ad-Hoc and Sensor Networks (WASN), Taiwan (2021)
  • Research Awards, Ministry of Science and Technology, Taiwan (2019)
  • Best Paper Award, Symposium on Intelligent Life Technology (ILT), Taiwan (2018)
  • Special Outstanding Talent Awards, Ministry of Science and Technology, Taiwan (2015, 2012, 2011)
  • Research Excellence Award for Teachers with Research Achievement, NUU (2012)
  • Teaching Recognition Award for Excellent Teachers, NUU (2011)

Contribution and Impact 🌍

Professor Wang has made significant contributions to the field of computer science through his innovative research and dedication to teaching. His work in wireless networks and mobile computing has paved the way for advancements in how we connect and communicate. Additionally, his research in IoT and AI continues to influence the development of smart technologies that enhance our everyday lives.

Publications Notes:📄

An Efficient Lane Following Navigation Strategy With Fusion Attention for Autonomous Drones in Urban Areas

Energy Efficiency of Mobile Devices Using Fuzzy Logic Control by Exponential Weight with Priority-Based Rate Control in Multi-Radio Opportunistic Networks

Combined Bidirectional Long Short-Term Memory with Mel-Frequency Cepstral Coefficients Using Autoencoder for Speaker Recognition

An Efficient Grid-Based Geocasting Scheme for Wireless Sensor Networks

Time Series Feature Extraction Using Transfer Learning Technology for Crop Pest Prediction

An Energy Efficient Load Balancing Tree-Based Data Aggregation Scheme for Grid-Based Wireless Sensor Networks