Dr. Rui Yang | Sensor protection Awards | Best Researcher Award

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Dr. Rui Yang | Sensor protection Awards | Best Researcher Award

Dr. Rui Yang, Guilin University of Electronic Technology, China

Rui Yang, Ph.D., is currently a doctoral candidate at the School of Computer and Information Security at Guilin University of Electronic Science and Technology, where he is specializing in deepfake detection. He obtained his Master’s degree from the same university, focusing on small-scale face detection in complex backgrounds. His research interests lie at the intersection of computer vision, machine learning, and multimedia security. Rui has contributed significantly to the field through several publications in prestigious journals, including IEEE Signal Processing Letters and ACM Transactions on Multimedia Computing, Communications, and Applications. His recent works explore advanced techniques in deepfake video detection, image captioning, and unsupervised models. Additionally, he has co-authored papers presented at international conferences, further demonstrating his expertise in applying artificial intelligence to multimedia security. Rui’s innovative contributions aim to enhance the detection and understanding of manipulated digital media.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award:

Rui Yang, a Ph.D. candidate at Guilin University of Electronic Science and Technology, is a promising and accomplished researcher specializing in deepfake detection, with an impressive academic background and significant contributions to the field. His research focuses on cutting-edge techniques in deepfake detection, image captioning, and small-scale face detection, making him highly qualified for the Best Researcher Award.

๐ŸŽ“ Education

  • 2021 โ€“ 2024: Ph.D., Guilin University of Electronic Science and Technology, School of Computer and Information Security
    Research direction: Deepfake detection
  • 2018 โ€“ 2021: M.E., Guilin University of Electronic Science and Technology, School of Computer and Information Security
    Thesis title: Small-scale Face Detection in Complex Backgrounds
  • 2014 โ€“ 2018: B.E., Yibin College, Computer Science and Technology
    Thesis title: Restoration of Gaussian Blurred Images

๐Ÿ’ผ Work Experience

  • Guilin University of Electronic Science and Technology
    Position: Ph.D. Student and Researcher in Computer and Information Security (Deepfake detection research)
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Assoc. Prof. Dr Ali Hassan Sodhro | Intelligent Sensors Award | Best Researcher Award

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Assoc. Prof. Dr Ali Hassan Sodhro | Intelligent Sensors Award | Best Researcher Awardย 

Assoc. Prof. Dr Ali Hassan Sodhro, Kristianstad University, SE-29188 Kristianstad, Sweden, Sweden

Ali Hassan Sodhro is an accomplished researcher with dual Swedish and Pakistani nationality, specializing in energy-efficient and battery-friendly algorithms for wireless body sensor networks, wireless sensor networks, physical layer authentication in IoT-5G, wearable devices, and smart healthcare applications. Currently a Senior Lecturer at Kristianstad University in Sweden, Ali has also served as a Postdoctoral Research Fellow in institutions across Sweden, France, and China, including Luleรฅ University of Technology, Linkรถping University, and the University Lumiere Lyon 2. His research extends to cybersecurity, network security, cryptography, and domains such as AI, machine learning, and big data analytics. Holding a Ph.D. from the University of Chinese Academy of Sciences (UCAS), Ali has supervised numerous bachelorโ€™s and masterโ€™s theses and co-supervised Ph.D. students, contributing substantially to both academic research and grant proposals. His teaching experience spans Swedish institutions like Mid Sweden University and Gothenburg University, alongside earlier academic roles at Sukkur IBA University in Pakistan. Ali is actively involved in conferences, workshop organization, and launching special journal issues, with his work published across multiple prestigious platforms.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award:

Ali Hassan Sodhro is a distinguished researcher with significant contributions to the fields of energy-efficient algorithms for wireless sensor networks, smart healthcare applications, and IoT-driven technologies, particularly within the domain of body sensor networks and wearable devices. With a strong interdisciplinary focus that spans AI, IoT, and cloud computing, his work aligns with many of the emerging challenges in technology and healthcare, areas critical for modern innovations and societal impact.

๐ŸŽ“ Education:

  • Ph.D. in Computer Applications Technology (2016)
    University: Chinese Academy of Sciences, China ๐Ÿ‡จ๐Ÿ‡ณ
    Thesis: Energy-efficient Communication in Wireless Body Sensor Networks
  • M.Engg in Communication Systems and Networks (2010)
    University: Mehran University of Engineering and Technology, Pakistan ๐Ÿ‡ต๐Ÿ‡ฐ
    Thesis: Security Issue/Authentication and Simulation of LEAP in WSN
  • B.Engg in Telecommunication Engineering (2008)
    University: Mehran University of Engineering and Technology, Pakistan ๐Ÿ‡ต๐Ÿ‡ฐ
    Thesis: Wireless Sensor Networks, Simulation of Ad-Hoc Routing Protocols

๐Ÿ’ผ Professional Experience:

  • Senior Lecturer at Kristianstad University, Sweden ๐Ÿ‡ธ๐Ÿ‡ช (2021โ€“Present)
    Teaching, research, and supervision of student projects; actively engaged in scientific publishing and grant proposal writing.
  • Postdoctoral Fellow at Luleรฅ University of Technology, Sweden ๐Ÿ‡ธ๐Ÿ‡ช (2020)
    Contributed to supervision, teaching, and coordination of special journal issues and conferences.
  • Assistant Professor at Sukkur IBA University, Pakistan ๐Ÿ‡ต๐Ÿ‡ฐ (2016โ€“2017)
    Supervised students, taught courses, and organized academic events.

๐Ÿง  Research Focus:

Ali Hassan Sodhro is a highly skilled researcher in Energy-efficient & Battery-friendly Algorithms โšก for Wireless Body Sensor Networks ๐Ÿ’ก, Wearable Devices โŒš, and IoT-5G ๐Ÿ”—. His expertise spans AI/ML ๐Ÿค–, Cybersecurity ๐Ÿ”’, Network Security ๐Ÿ›ก๏ธ, Big Data Analytics ๐Ÿ“Š, and Multimedia Transmission ๐ŸŽฅ, with an emphasis on Smart Healthcare ๐Ÿฅ and Physical Layer Authentication in IoT networks.

Publication top Notes:

Artificial intelligence-driven mechanism for edge computing-based industrial applications

CITED:326

A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks

CITED:297

Mobile edge computing based QoS optimization in medical healthcare applications

CITED:208

Towards an optimal resource management for IoT based Green and sustainable smart cities

CITED:197

Quality of service optimization in an IoT-driven intelligent transportation system

CITED:173

Dr. Dinh-Dung Nguyen | Sensor Integration Award | Best Researcher Award

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Dr. Dinh-Dung Nguyen | Sensor Integration Award | Best Researcher Award

Dr. Dinh-Dung Nguyen, Le Quy Don Technical University, Vietnam

Dr. Dinh-Dung Nguyen is a dedicated lecturer in the Faculty of Aerospace Engineering at Le Quy Don Technical University in Hanoi, Vietnam, where he has been affiliated since 2011. He earned his Ph.D. in Transportation Engineering and Vehicle Engineering from the Budapest University of Technology and Economics in Hungary in 2021. Dr. Nguyen’s research focuses on sustainable aviation, aerial vehicles, and the integration of control systems in transportation. He is actively involved in various national and international projects that address environmental issues and promote smart city transportation systems. With a robust publication record, Dr. Nguyen has contributed significantly to the field of aviation and urban planning, demonstrating a commitment to advancing knowledge and practices in sustainable transportation. His work has garnered attention in reputable journals, highlighting his expertise and impact in aerospace engineering and transportation research.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award

Researcher Overview: Dung Dinh Nguyen is a lecturer at the Faculty of Aerospace Engineering, Le Quy Don Technical University, in Hanoi, Vietnam. He obtained his Ph.D. in Transportation Engineering and Vehicle Engineering from the Budapest University of Technology and Economics, Hungary, in 2021. His research focuses on sustainable aviation, aerial vehicles, system design, and the integration of control devices in aircraft, particularly in the context of smart cities and urban planning.

Education

  • Ph.D. in Transportation Engineering and Vehicle Engineering
    Institution: Budapest University of Technology and Economics, Hungary
    Year: 2021

Work Experience

  • Lecturer
    Department: Faculty of Aerospace Engineering
    Institution: Le Quy Don Technical University, Hanoi, Vietnam
    Years: 2014 – Present
  • Academy Graduate
    Institution: Le Quy Don Technical University, Hanoi, Vietnam
    Years: 2011 – Present

Research and Academic Contributions

Dinh-Dung Nguyen has been involved in various national and international studies focused on sustainable aviation, aerial vehicles, system design, and transportation systems in smart cities. His research emphasizes environmental assessments and innovations in the integration of drones into urban transportation frameworks.

Publication top Notes:

Microactuators Supporting and Sensor Technology an Intelligent Transportation Management System

Revolutionizing Urban Transportation with Sensor Technology and Microactuators

An investigation of sensing and technologies for supporting the intelligent transport management system in urban area

Management and Regulation of Drone Operation in Urban Environment: A Case Study

An investigation of the Internet-based approach for drone management in a city environment

Autonomous flight trajectory control system for drones in smart city traffic management

Assoc Prof Dr Zhongxiang Liu | Applications of Sensors | Best Researcher Award

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Assoc Prof Dr Zhongxiang Liu | Applications of Sensors | Best Researcher Awardย 

ย Assoc Prof Dr Zhongxiang Liu,Associate Researcher, Southeast University,China

Zhongxiang Liu is an Associate Professor at the School of Transportation, Southeast University, Nanjing, China. He has a strong background in structural engineering, with substantial experience in academia and research. His international exposure includes postdoctoral research at Columbia University and a visiting scholarship at Virginia Tech in the USA. With multiple editorial roles and contributions to international journals, Liu has established himself as a distinguished researcher in structural health monitoring and smart city infrastructure. He has received prestigious awards for his contributions to civil and structural engineering and is dedicated to advancing resilient and sustainable engineering solutions.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Zhongxiang Liu is an Associate Professor at the School of Transportation, Southeast University, with a Ph.D. in Structural Engineering from Southeast University, China. He has a robust academic background, having completed postdoctoral research at Columbia University and held a visiting scholar position at Virginia Tech. His research expertise lies in structural health monitoring, resilient structures for smart cities, and dynamic analysis of offshore structures. Liu is recognized for his prolific contributions as a guest editor for multiple high-impact journals and has received several prestigious awards, including the Science and Technology Progress Award of China and the Gold Medal at the International Exhibition of Inventions of Geneva.

Education

Zhongxiang Liu earned his Ph.D. in Structural Engineering from Southeast University, Nanjing, China, in 2019. Prior to that, he completed his M.S. in Structural Engineering at the same institution in Chongqing, China, in 2015. He holds a B.S. in Civil Engineering from Chongqing University, Chongqing, China, awarded in 2012. His strong academic foundation has provided him with the necessary expertise to excel in structural health monitoring, offshore structure dynamics, and novel sensing technologies for smart cities.

Work Experience

Liu has been serving as an Associate Professor at Southeast University, Nanjing, China, since February 2021. Before this, he was a Postdoctoral Research Fellow at Columbia University, USA, from November 2019 to November 2020. He also gained valuable international experience as a Visiting Scholar at Virginia Tech, USA, from November 2016 to November 2017. His work in these roles has focused on structural health monitoring, dynamic analysis of offshore structures, and the application of resilient engineering technologies in urban infrastructure.

Skills

Zhongxiang Liu specializes in structural health monitoring, offshore structure analysis, and resilient urban infrastructure. His skills extend to advanced hydro- and aero-dynamic analysis, condition assessment of bridges, and novel sensing technologies for smart city applications. He has editorial and review expertise for high-impact journals, as well as experience in conducting performance evaluations of structural systems. His proficiency in combining these skills to address practical engineering challenges makes him a versatile researcher and educator in the field of civil engineering.

Awards and Honors

Liu has received numerous prestigious awards, including the First Prize in the Science and Technology Progress Award of Jiangsu, China (2022) and the Grand Prize from the China Highway and Transportation Society (2022). His research was recognized internationally, earning the Gold Award with congratulations from the Jury at the 48th International Exhibition of Inventions of Geneva in 2023. Liu was also honored with the Liu Huixian Earthquake Engineering Scholarship Award (2019), as well as several National Scholarships from the Ministry of Education of China during his doctoral and masterโ€™s studies.

Membership

Zhongxiang Liu is actively involved in the academic community, serving as a guest editor for multiple journals including Materials (MDPI), Applied Sciences (MDPI), and Modelling (MDPI). He is a Youth Editorial member for the International Journal of Structural Integrity and Journal of Disaster Prevention and Mitigation Engineering. In addition, he reviews for more than 20 international journals in the fields of structural engineering and performance evaluation, further establishing his expertise and influence in the field.

Teaching Experience

As an Associate Professor at Southeast University, Liu is involved in teaching and mentoring students in advanced structural engineering concepts. His international experience at prestigious institutions such as Columbia University and Virginia Tech enriches his teaching, allowing him to incorporate a global perspective into his lectures. He guides students in the fields of structural health monitoring, offshore structures, and smart city technologies, preparing the next generation of engineers to tackle modern infrastructure challenges with innovative solutions.

Research Focus

Liuโ€™s research primarily focuses on structural health monitoring and the condition assessment of bridges, along with hydro- and aero-dynamic analysis of offshore structures. His work emphasizes resilient infrastructure solutions, particularly in the context of smart cities. By developing novel sensing technologies and resilient structural designs, Liu aims to enhance urban infrastructure’s longevity and safety. His research also explores the control and evaluation of dynamic responses in offshore structures, contributing to advancements in both civil engineering and sustainable urban development.

Publication top Notes:

 

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

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

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 sensorsโ€”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 hydrogelโ€“elastomer hybrid with tissue-level softness

A Frequency-Detection-Type Photoelectric Anemometer

 

Dr. Salomao Moraes da Silva Junior | Sensors Award | Best Researcher Award

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Dr. Salomao Moraes da Silva Junior | Sensors Award | Best Researcher Awardย 

Dr. Salomao Moraes da Silva Junior, BioSense Institute, Serbia

Salomรฃo Moraes da Silva Junior is an accomplished researcher and engineer specializing in microfluidics. He holds a Joint Ph.D. in Engineering Sciences from Vrije Universiteit Brussel and a Ph.D. in Electrical Engineering from the University of Campinas, both completed in 2019. With a diverse educational background, including a Masterโ€™s in Electrical Engineering and a Bachelorโ€™s in Electrical Engineering, he has amassed significant expertise in microfluidics design and fabrication. Currently, Salomรฃo serves as an Experienced Microfluidics Researcher and Postdoctoral Researcher at the BioSense Institute, University of Novi Sad, where he focuses on developing innovative microfluidic platforms and applications in biosensors, agriculture, and environmental sectors. His previous roles include working as an Engineer of New Technology at AbCheck s.r.o. and as a Doctoral and Master Research Assistant at Vrije Universiteit Brussel and University of Campinas.

Professional Profile:

Summary of Suitability for Best Researcher Award:

Salomรฃo Moraes da Silva Junior’s extensive background in microfluidics research and engineering makes him a highly suitable candidate for the Best Researcher Award. His educational qualifications, including a Joint Ph.D. in Engineering Sciences with โ€œGreatest distinctionโ€ and a Ph.D. in Electrical Engineering, underline his profound expertise and commitment to the field.

Education

  • Ph.D. in Engineering Sciences (Joint Ph.D. with โ€œGreatest distinctionโ€)
    Vrije Universiteit Brussel (VUB)
    2019
  • Ph.D. in Electrical Engineering
    University of Campinas (UNICAMP)
    2019
  • Masterโ€™s in Electrical Engineering
    University of Campinas (UNICAMP)
    2014
  • Bachelorโ€™s Degree in Electrical Engineering
    State University of Amazonas (UEA)
    2012
  • Post-Technician in Electronics
    CETAM
    2008
  • Technician in Electronics
    Mathias Machline Foundation (FMM)
    2004

Work Experience

  • Experienced Microfluidics Researcher / Postdoctoral Researcher
    BioSense Institute at University of Novi Sad
    August 2021 โ€“ Present

    • Develops new microfluidics platforms from design to application using cleanroom microfabrication protocols.
    • Serves as a cleanroom lab manager (deputy).
    • Conducts research and publishes on microfluidics solutions applied to biosensors, agriculture, and environmental sectors.
    • Specializes in single-cell encapsulation, co-encapsulation, on-chip emulsion extraction, and pico-injection.
  • Engineer of New Technology
    AbCheck s.r.o
    September 2019 โ€“ August 2021

    • Developed new microfluidics platforms from design to application, adhering to standard protocols for cell applications.
    • Reported and presented results in internal seminars.
    • Worked on passive micromixers, single-cell encapsulation, co-encapsulation, hydrogel extraction, and pico-injection.
  • Doctoral Research Assistant
    Vrije Universiteit Brussel and University of Campinas (Joint Ph.D.)
    September 2014 โ€“ August 2019

    • Researched new fabrication protocols for microfluidics in cleanroom facilities.
    • Integrated microchannels with sensors and designed droplet generator chips, flow-focusing, and micromixers.
    • Published research in peer-reviewed journals and taught electronics.
  • Master Research Assistant
    University of Campinas
    September 2012 โ€“ August 2014

    • Developed microfabrication protocols for microfluidics in cleanroom facilities and integrated microchannels with sensors.
    • Published research in conferences and trained in electronics teaching.
  • Electronic Technician
    Videolar S/A
    2007 โ€“ 2009

    • Conducted preventive and corrective maintenance on automated manufacturing and replicating machines.
    • Wrote reporting protocols.

Publication top Notes:

A Novel Microfluidics Droplet-Based Interdigitated Ring-Shaped Electrode Sensor for Lab-on-a-Chip Applications

WET TREATMENT AND THE BEHAVIOR OF ELECTROLESS Ni-P DEPOSITION AT 40 ยฐC ON POLISHED ALUMINA

MICROFABRICATION PROCESS OF PASSIVE AND ACTIVE MICROFLUIDIC DEVICES

Microfluidic devices on glass for liquid mixtures concentration with coupled Thz sensor

Subterahertz sensor in microfluidic devices for on-line determination and control of ethanol concentration

Dr. Babak Noroozi | Body Sensors Award | Best Researcher Award

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Dr. Babak Noroozi | Body Sensors Award | Best Researcher Awardย 

Dr. Babak Noroozi, FAMU-FSU College of Engineering, United States

Dr. Babak Noroozi is a dedicated teaching faculty member in the Department of Electrical and Computer Engineering at the FAMU-FSU College of Engineering. He earned his Ph.D. in Electrical and Computer Engineering from the University of Memphis in 2020, where his dissertation focused on the design, implementation, and optimization of printed spiral coils for nearfield wireless resistive analog passive sensors. He also holds a Master’s degree in Bioelectric Engineering from Sharif University of Technology and a Bachelor’s degree in Electrical and Computer Engineering from Iran University of Science and Technology. With a rich professional background, Dr. Noroozi has expertise in wearable sensors, embedded systems, robotics, and power harvesting for medical devices. His career spans academic roles at institutions such as Azad University and the University of Memphis, as well as industry experience at SAIPA, one of Iran’s largest car manufacturers, where he contributed to advanced vehicle technologies. Dr. Noroozi is also a co-founder of Kariz Electronic, where he managed medical and industrial projects. His teaching experience includes courses in electrical engineering, digital logic design, microprocessors, and bioinstrumentation, and he has been recognized for his contributions to ABET evaluations and student projects at FAMU-FSU College of Engineering.

Professional Profile:

Summary of Suitability for Best Researcher Award:

Dr. Babak Noroozi’s extensive academic background, professional experience, and research achievements make him a strong candidate for the Best Researcher Award. His educational journey from a Bachelorโ€™s degree at Iran University of Science and Technology to a Ph.D. at the University of Memphis reflects a consistent focus on Electrical and Computer Engineering, particularly in areas related to bioelectrics, wireless sensors, and embedded systems.

๐ŸŽ“ Education

  • Ph.D. in Electrical and Computer Engineering
    ๐Ÿซ University of Memphis | Memphis, TN | June 2020
    ๐Ÿ“œ Dissertation: Printed Spiral Coil Design, Implementation, and Optimization for 13.56 MHz Nearfield Wireless Resistive Analog Passive (WRAP) Sensors.
  • Master of Science in Electrical and Computer Engineering – Bioelectric
    ๐Ÿซ Sharif University of Technology | Tehran, Iran | Aug. 1995
    ๐Ÿ“œ Thesis: Design and implementation of a digital part of a PC-based Mechanical Sector Scan Diagnostic Ultrasound.
  • Bachelor of Science in Electrical and Computer Engineering
    ๐Ÿซ Iran University of Science and Technology | Tehran, Iran | March 1992
    ๐Ÿ“œ Project: Design and implementation of a Serial Interface Coder with Microprocessor 68000.

๐Ÿ”ฌ Research Interests

  • Wearable sensors
  • Embedded systems
  • Robotics
  • Power harvesting/transfer for implanted medical devices
  • Real-time bio-signals processing and monitoring to detect diseases and outbreaks

๐Ÿ‘จโ€๐Ÿซ Professional Experience

  • Teaching Faculty | FAMU-FSU College of Engineering | Tallahassee, Florida
    ๐Ÿ“… August 2020-present

    • Courses taught: Introduction to Electrical Engineering, Engineering Design Concept, Digital Logic Design, Introduction to VHDL, Microprocessor-Based System Design-MSP430, Advanced Microprocessor-Based System Design-MSP432, Bioinstrumentation, Senior Design Project.
    • Contribution to ABET evaluation and supervision of senior projects on wearable technology and biomedical monitoring for astronauts.
  • Teaching and Research Assistant | University of Memphis, Herff College of Engineering | Memphis, TN
    ๐Ÿ“… 2015-2020

    • Primary researcher in WRAP Sensors, leading to publications in conferences and journals.
    • Expertise in using COMSOL Multiphysics for magnetic field simulation and microfluidic pattern simulation for cancer detection (NSF and NIH-funded projects).
    • Teaching responsibilities for Computer Organization and lab assistance in Digital Logic Design and Microprocessors.
  • Teaching Faculty | Azad University, Engineering College | Garmsar, Iran
    ๐Ÿ“… 1998-2013

    • Lead instructor for courses including Microprocessors, Digital Circuit Design, and Computer Architecture.
    • Honored with the Outstanding Faculty Teaching Award in 2012.

Publication top Notes:

Misalignment-Tolerant Planar Spiral Coil Pair Design for 13.56 MHz Inductive Coupling of Wireless Resistive Analog Passive Sensors

Decolorization of anthraquinone dye (Reactive Blue 4) in the microbial fuel cell by Bakerโ€™s yeast: process optimization

Design and optimization of printed spiral coils for wireless passive sensors

Rice straw agri-waste for water pollutant adsorption: Relevant mesoporous super hydrophobic cellulose aerogel

Study the effects of misalignments in the printed spiral inductive coils for passive wearable sensors

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 โ€“ Present: Lecturer, North University of China ๐Ÿซ
  • Nov 2018 โ€“ July 2022: Doctorate in Electronics and Optoelectronics, Nano- and Microtechnologies, Paris-Saclay University ๐ŸŒ
  • Sept 2016 โ€“ July 2022: Combined Master and Doctorate in Communication and Information System, School of Communication Engineering, Xidian University ๐Ÿ“ก
  • Sept 2012 โ€“ July 2016: Bachelor’s Degree in Communication Engineering, School of Electronics and Physics, Shandong University of Science and Technology ๐ŸŽ“

Awards & Honors:

  • Bachelor’s Degree:
    • 2013: 2nd Prize, Student Scholarship of SDUST ๐ŸŽ–๏ธ
    • 2014: 1st Prize, Student Scholarship of SDUST ๐Ÿ…
      • National Encouragement Scholarship ๐Ÿฅ‡
      • 1st Prize, Robot Competition in Shandong Province ๐Ÿค–
      • 1st Prize, National Information Technology Application Level Competition ๐Ÿ–ฅ๏ธ
    • 2015: 1st Prize, National Undergraduate Electronics Design Contest in Shandong Province ๐Ÿ†
      • 1st Prize, Student Scholarship of SDUST ๐ŸŽ–๏ธ
    • 2016: Outstanding Graduates in Shandong Province ๐Ÿ…
  • Combined Master and Doctorate:
    • 2016: 1st Prize, Student Scholarship of XDU ๐Ÿฅ‡
    • 2018: The Innovation Fund of XDU ๐Ÿ’ก
      • Doctoral Studentsโ€™ Short-Term Study Abroad Scholarship Fund ๐ŸŒ
      • 1st Prize, Student Scholarship of XDU ๐Ÿ†
    • 2019: Chinese Government Scholarship of China Scholarship Council ๐Ÿ‡จ๐Ÿ‡ณ

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 cellโ€“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