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. Xiangyu Xie | Wireless Sensor Awards | Best Researcher Award

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Dr. Xiangyu Xie | Wireless Sensor Awards | Best Researcher Award

Dr. Xiangyu Xie, Guiyang University, China

Dr. Xiangyu Xie is a highly skilled researcher and engineer specializing in sensor technologies and material analytics. He currently serves as a Senior Lab Master and Group Leader of Materials Engineering at Guiyang University, where he has been leading projects since October 2017. Dr. Xie is expected to complete his PhD in Materials Science and Engineering from Harbin Engineering University by December 2024. His academic journey began with a Master’s degree in Mechanical Engineering from Guizhou University (2014–2017) and a Bachelor’s degree in Mechanical Engineering from Hunan Institute of Science and Technology (2010–2014). With extensive experience in data manipulation and project management, Dr. Xie has played a pivotal role in the Detection and Localization of Threats Project and the development of Novel Sensing Networks for Intelligent Monitoring, both funded by the National Natural Science Foundation of China. His work focuses on advanced sensor systems, including the development of RFID sensors for strain and damage mapping, and his ability to handle complex projects with evolving priorities has made him a strong leader in his field.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Xiangyu Xie is highly suitable for the Best Researcher Award due to his extensive qualifications, project leadership experience, and innovative contributions to the field of sensor technologies and materials science. His academic background, including a Ph.D. in Materials Science and Engineering (expected in 2024), coupled with his Master’s and Bachelor’s degrees in Mechanical Engineering, demonstrates a solid foundation in engineering and materials research.

Working Experience and Education 🎓

  • Harbin Engineering University, Harbin, China
    📚 Doctor of Philosophy (PhD) in Materials Science and Engineering (Expected: December 2024)
  • Guiyang University, Guiyang, China
    🔬 Senior Lab Master, Group Leader of Materials Engineering (Oct 2017–Present)
  • Guizhou University, Guiyang, China
    🎓 Master of Science in Mechanical Engineering (Sep 2014–June 2017)
  • Hunan Institute of Science and Technology, Yueyang, China
    🎓 Bachelor of Science in Mechanical Engineering (Sep 2010–June 2014)

Project Experience 🧪

  • Detection and Localization of Threats Project (National Natural Science Foundation of China) (Mar 2023–Present)
    🔍 Led project direction, data processing, and qualitative/quantitative analyses.
  • Novel Sensing Networks for Intelligent Monitoring (National Natural Science Foundation of China) (Jun 2021–Present)
    🛠️ Planned content themes and developed novel structures for RFID sensors in strain and damage mapping.

Highlight of Qualifications 🌟

🔹 Rich internship and project experience in sensor technologies and material analytics with strong data manipulation skills.
🔹 Exceptional communication and interpersonal skills for effective collaboration and project management.
🔹 Self-motivated and capable of managing complex projects while balancing multiple priorities in demanding timelines.

Publication top Notes:

Passive wireless RFID strain sensor for directional-independent structural deformation monitoring

Influence of HCl in Photo-catalyzed Oxidation of Cyclohexane with Decatungstate or PMo12-nVn

An RFID smart structure using inkjet-printed additive manufacturing technology for metal crack characterization

High-Sensitivity RFID Tag Sensor with Coupled Ring Resonators for Multi-Position Crack Monitoring

Reliable Crack Monitoring Based on Guided Wave Through Periodically Loaded Transmission Line

Re-transmission Crack Sensor based on Re-configurable Series Ring Resonator

 

Prof. Youngbok Kim | Sensor Fusion Awards | Best Researcher Award

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Prof. Youngbok Kim | Sensor Fusion Awards | Best Researcher Award – 5145

Prof. Youngbok Kim, Pukyong National University, South Korea

Youngbok Kim is a distinguished professor in the Department of Mechanical System Engineering at Pukyong National University in Busan, Korea.he has built a robust academic career, beginning as a researcher at Pukyong National University from April 1996 to February 2000. He then served as a research professor at Gyeongsang National University for one year before taking on a lecturer role at Kunsan National University from March 2001 to February 2002. Since March 2002, he has held a full professorship at Pukyong National University, where he continues to contribute to the field of engineering. Youngbok Kim earned his Ph.D. in Engineering from Kobe University in Japan in March 1996, following an M.S. in Control Engineering from Pukyong National University in February 1991 and a B.S. in Marine Engineering from the same institution in February 1989. His extensive research and teaching experience make him a prominent figure in mechanical system engineering.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Youngbok Kim

Overview: Youngbok Kim is a distinguished professor in the Department of Mechanical System Engineering at Pukyong National University, South Korea, with an extensive background in engineering research and education. His career spans nearly three decades, showcasing his commitment to advancing mechanical and control engineering. His robust academic background, coupled with a substantial portfolio of published research, makes him an exemplary candidate for the Best Researcher Award.

Education

  • Ph.D. in Engineering
    Kobe University, Kobe, Japan
    March 1996
  • M.S. in Control Engineering
    Graduate School of Pukyong National University, Busan, Korea
    February 1991
  • B.S. in Marine Engineering
    Pukyong National University, Busan, Korea
    February 1989

Work Experience

  • Professor (Full)
    Pukyong National University, Busan, Korea
    March 2002 – Present
  • Lecturer
    Kunsan National University, Kunsan, Korea
    March 2001 – February 2002
  • Research Professor
    Gyongsang National University, Korea
    March 2000 – February 2001
  • Researcher
    Pukyong National University, Korea
    April 1996 – February 2000

Publication top Notes:

A High-Precision Active Vibration Isolation Control System: Experimental Study

Study on Development of a Fiber Optic Sensor for Fire Monitoring System in Switchboard

Design of Robust Decoupling Controller for 6-DoF Active Vibration Isolation System

Motion Control Design for Barge Ship by Considering Berthing and Unberthing Work

Control System Design for Offshore Floating Platform Transportation by Combination of Towing and Pushing Tugboats

Motion Control of Offshore Platform Transporter by Cooperative Control of Multiple Tugboats

 

Prof. Xiaoji Niu | Sensor Fusion Awards | Best Researcher Award

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Prof. Xiaoji Niu | Sensor Fusion Awards | Best Researcher Award 

Prof. Xiaoji Niu, Wuhan University, China

Dr. Xiaoji Niu is a distinguished professor at the GNSS Research Center of Wuhan University, where he has been leading a team of approximately 20 researchers since March 2010. His expertise lies in integrated navigation systems, particularly in the integration of Inertial Navigation Systems (INS) with Global Navigation Satellite Systems (GNSS). Dr. Niu has been pivotal in advancing deep integration technology for high-precision GNSS/INS systems, aimed at enhancing Position and Orientation Systems (POS) for mobile mapping applications. Prior to his current role, he served as a senior scientist at Shanghai SiRF Technology Co., Ltd., where he spearheaded research and development on dead-reckoning technology and played a key role in the production release of inertial-aided GPS firmware. Dr. Niu’s academic foundation includes a Ph.D. in Navigation and Control from Tsinghua University, where he focused on micromachined attitude measurement units for satellite TV antenna stabilization, and a B.Sc. with honors in Mechanical Engineering. His contributions to the field are recognized internationally, underscoring his commitment to advancing navigation technologies.

Professional Profile:

SCOPUS

Research for Best Researcher Award: 

Professor Xiaoji Niu, currently at the GNSS Research Center of Wuhan University, is a highly accomplished researcher with a notable record in navigation and integrated systems. His extensive experience and impressive contributions to the field make him a strong candidate for the Best Researcher Award.

Education

  • Ph.D. in Navigation and Control
    Institution: Tsinghua University, China
    Department: Department of Precision Instruments
    Duration: Sep 1997 – Dec 2002
    Dissertation: “Micromachined Attitude Measurement Unit with Application in Satellite TV Antenna Stabilization”
    Supervisor: Prof. Zhongyu Gao
  • B.Sc. (with Honors)
    Institution: Tsinghua University, China
    Departments:

    • Department of Precision Instruments (Mechanical Engineering, Major)
    • Department of Automation (Electrical Engineering, Minor)
      Duration: Sep 1992 – Jul 1997

Work Experience

  • Professor
    Institution: GNSS Research Center, Wuhan University
    Duration: Mar 2010 – Present
    Responsibilities:

    • Leading a team of approximately 20 researchers, including 2 postdoctoral researchers.
    • Research on Integrated Navigation Systems (INS and GNSS/INS integration).
    • Deep integration technology for GNSS/INS.
    • Commercializing high-precision GNSS/INS integration techniques for Position and Orientation Systems (POS) for Mobile Mapping Systems (MMS).
    • Developing compact and low-cost MEMS INS for land vehicles and UAV applications.
  • Senior Scientist
    Institution: Shanghai SiRF Technology Co., Ltd
    Department: Advanced Technologies Dept.
    Duration: Feb 2007 – Feb 2010
    Responsibilities:

    • Leading R&D on Dead-Reckoning (DR) technology, including inertial-aided GPS.
    • Technical lead for DR production projects.
    • Started production release of DR firmware in Q2 2008; released to three customers with shipments of over 500k chips, leading to product shipments by two customers.
  • Research Scientist
    Institution: The University of Calgary, Canada
    Department: Mobile Multi-Sensor System (MMSS) Research Group
    Duration: Oct 2005 – Feb 2007
    Responsibilities:

    • Led projects including:
      • Intermap Project (2006-2007): “Assessment of the Intermap Navigation Software and Hardware” (funded by Intermap Technologies Inc.).
      • SiRF Project – Phase II (2005-2006): “Inertial Aided GPS (Phase II)” (funded by SiRF Technology Inc.).
        Supervisor: Dr. Naser El-Sheimy
  • Postdoctoral Fellow
    Institution: The University of Calgary, Canada
    Department: Mobile Multi-Sensor System (MMSS) Research Group
    Duration: Feb 2003 – Sep 2005
    Responsibilities:

    • Led projects including:
      • SiRF Project – Phase I (2005): “Inertial Aided GPS (Phase I)” (funded by SiRF Technology Inc.).
      • MEMS Project (2003-2005): “Next Generation MEMS-Based Navigation System for Vehicles and Personal Location and Navigation” (funded by GEOIDE, Network Center of Excellence).
        Supervisor: Dr. Naser El-Sheimy

Publication top Notes:

Multi-level information fusion enhanced by scene constraint: Key to improve autonomous positioning accuracy in urban underground pipeline using MEMS inertial sensors

Onboard multi-source fusion train positioning method based on railway track irregularity matching

INS-Aided GNSS Pseudo-Range Error Prediction Using Machine Learning for Urban Vehicle Navigation

RANSAC-Based Fault Detection and Exclusion Algorithm for Single-Difference Tightly Coupled GNSS/INS Integration

An Iterative Method for the Distance Constraints in a Multi-Sensor Positioning System

Dr Susana Novais | Physical Sensors | Best Researcher Award

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Dr Susana Novais |Physical Sensors| Best Researcher Award

Dr Susana Novais ,Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência INESC TEC, Portugal

Dr. Susana Cristina Ribeiro Novais is an expert in optics and optoelectronics, currently serving as an Assistant Researcher at INESC TEC in Portugal. With extensive experience in both research and academic environments, Dr. Novais has made significant contributions to the field of optical fiber sensors and biomedical technologies. She holds a Ph.D. in Physics Engineering with a specialization in Optics and Optoelectronics, and has been involved in numerous high-impact research projects and international conferences. Her work is recognized for its innovation and depth, positioning her as a leading figure in her domain.

Professional Profile:

Suitability for the Best Researcher Award: 

Susana Cristina Ribeiro Novais is a highly deserving candidate for the Best Researcher Award due to her significant contributions to the fields of optics and biomedical technologies. Her impressive research output, leadership roles, and active participation in academic and professional communities highlight her exceptional qualifications. By addressing the identified areas for improvement, Dr. Novais could further strengthen her already distinguished profile, making her an exemplary choice for this prestigious recognition. Her work not only advances scientific knowledge but also has practical implications in technology and healthcare, underscoring her value as a leading researcher.

Education

Dr. Susana Cristina Ribeiro Novais earned her Ph.D. in Physics Engineering, specializing in Optics and Optoelectronics, from Universidade de Aveiro, Portugal, in February 2019, with distinction. Her doctoral thesis focused on optical fiber sensors for challenging media. She completed her M.Sc. in Biomedical Technologies with a focus on Biomechanics and Rehabilitation at Instituto Politécnico de Bragança in 2012. Her B.Sc. in Biomedical Engineering, also from Instituto Politécnico de Bragança, was awarded in 2010, with a thesis on vital sign monitoring systems.

 Work Experience

Dr. Novais is currently an Assistant Researcher at INESC TEC, where she has been working since June 2021. Prior to this role, she served as a Research Fellow at INESC TEC and Universidade de Aveiro, contributing to several research projects in optics and biomedical technologies. Her experience also includes working with Johnson Matthey Systems in the UK and conducting short-term scientific missions at Helmholtz Institute and Johnson Matthey Battery Systems. Her roles have involved significant contributions to both applied and theoretical research.

 Skills

Dr. Susana Novais possesses a diverse skill set in physics and optics, including expertise in optical fiber sensors and optoelectronics. She is proficient in designing and implementing advanced optical systems for various applications. Her skills extend to biomedical technologies, particularly in developing micro-devices and monitoring systems. She is also adept in project management, scientific communication, and technical review, with extensive experience in organizing conferences and reviewing scientific literature.

 Awards and Honors

Dr. Novais has been recognized for her outstanding contributions to optics and biomedical technologies. Her Ph.D. thesis was awarded with praise and distinction, highlighting the significance of her research on optical fiber sensors. Her involvement in key projects such as FCT project ENDOR and European Project SIRBATT underscores her reputation in the field. She has also been honored for her role as a local organizer and technical chair for major conferences like EOSAM 2022.

 Membership

Dr. Susana Cristina Ribeiro Novais is an active member of several professional organizations related to optics and physics. She has been involved in the European Optical Society and various scientific committees, reflecting her engagement with the scientific community. Her memberships provide her with platforms to contribute to advancements in her field and collaborate with other experts in optics and optoelectronics.

 Teaching Experience

Dr. Novais has extensive teaching experience, including her role as a co-supervisor for Master’s theses in Engineering Physics at Universidade Católica Portuguesa. Her academic involvement extends to serving as a main examiner and jury member for the best thesis in optics and photonics in Portugal. Her teaching experience reflects her commitment to educating the next generation of scientists and engineers in the field of optics and optoelectronics.

 Research Focus

Dr. Susana Novais’s research focuses on optics and optoelectronics, particularly in the development and application of optical fiber sensors. Her work includes advancing technologies for challenging media and exploring innovative solutions in biomedical technologies. She is involved in high-impact projects such as the FCT project ENDOR and European Project SIRBATT, addressing key issues in renewable energy and sensor technology. Her research aims to push the boundaries of current optical technologies and their applications.

Publication top Notes:
  • “Coreless silica fiber sensor based on self-image theory and coated with graphene oxide”
    • Year: 2024
    • Journal: Optical Sensing and Detection VIII (Conference Paper)
    • DOI: 10.1117/12.3022374
  • “Linear Fiber Laser Configurations for Optical Concentration Sensing in Liquid Solutions”
    • Year: 2024
    • Journal: Photonics
    • DOI: 10.3390/photonics11050393
  • “Linear Fiber Laser Configurations for Optical Concentration Sensing in Liquid Solutions”
    • Year: 2024
    • Type: Preprint
    • DOI: 10.20944/preprints202402.0004.v1
  • “Enhanced Sensitivity in Optical Sensors through Self-Image Theory and Graphene Oxide Coating”
    • Year: 2024
    • Journal: Sensors
    • DOI: 10.3390/s24030891
  • “Paracetamol concentration-sensing scheme based on a linear cavity fiber laser configuration”
    • Year: 2023
    • Journal: Optical Fiber Technology
    • DOI: 10.1016/j.yofte.2023.103407
  • “Refractive Index Measurements of Ethanol–Water Binary Liquid Solutions Using a Graded-Index Fiber Tip Sensor”
    • Year: 2023
    • Journal: IEEE Sensors Letters
    • DOI: 10.1109/LSENS.2023.3303079
  • “Measurement of paracetamol concentration using a fiber laser system”
    • Year: 2023
    • Conference: 2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)
    • DOI: 10.1109/enbeng58165.2023.10175344
  • “Transmissive glucose concentration plasmonic Au sensor based on unclad optical fiber”
    • Year: 2023
    • Conference: 2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)
    • DOI: 10.1109/enbeng58165.2023.10175342
  • “Erbium-doped fiber ring cavity for the measurement of refractive index variations”
    • Year: 2023
    • Conference: European Workshop on Optical Fibre Sensors (EWOFS 2023)
    • DOI: 10.1117/12.2678101
  • “Measurement of Paracetamol Concentration Using an Erbium-Doped Fiber Ring Cavity”
    • Year: 2023
    • Journal: Photonics
    • DOI: 10.3390/photonics10010050

 

Prof. Tao Tang | Sensor Module | Best Researcher Award

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Prof. Tao Tang | Sensor Module | Best Researcher Award 

Prof. Tao Tang, Southwest Minzu University, China 

Dr. Tao Tang is a distinguished Professor at the College of Electronic Engineering, Chengdu University of Information Technology (CUIT), China. He earned his Bachelor’s degree from Leshan Normal University in 2005 and subsequently completed his Master’s and Ph.D. degrees at Southwest Jiaotong University between 2005 and 2011. With a profound expertise in antenna and wave propagation, computational electromagnetics, and electromagnetic compatibility, Dr. Tang has contributed significantly to these fields through both academic and practical endeavors.

Professional Profile:

 

Summary of Suitability for the Best Researcher Award:

Dr. Tao Tang is a highly accomplished researcher and professor in the field of antenna and wave propagation, computational electromagnetics, and electromagnetic compatibility. His extensive academic background, including a Ph.D. from Southwest Jiao tong University and postdoctoral fellowships at prestigious institutions, reflects a strong foundation in his areas of expertise.

Education

  • 2001–2005: Bachelor of Science (B.S.) in [unspecified field], Leshan Normal University, Leshan, China.
  • 2005–2011: Master and Ph.D. in [unspecified fields], Southwest Jiaotong University, Chengdu, China.

Professional Experience

  • 2011–2013: Lecturer, College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, China.
  • 2014–2020: Associate Professor, College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, China.
  • 2015–2017: Postdoctoral Fellow, Institute of Applied Physics, University of Electronic Science and Technology of China, Chengdu, China.
  • 2017–2020: Postdoctoral Fellow, School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China.
  • 2019-2020: Visiting Scholar, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada.
  • 2019-Present: Head, Department of Electronic Information Science and Technology, Chengdu University of Information Technology, Chengdu, China.
  • 2019-Present: Director, Pre-research Center, Sichuan SIP Electronic Technology Co., Ltd., Chengdu, China.
  • 2021-Present: Professor, College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, China.

Publication top Notes:

A Self-Packaging Comb Spectrum Generator Based on Substrate Integrated Suspension Line

Design of X-Band Circulator and Isolator for High-Peak-Power Applications

A Flexible Wearable Sensor Based on Laser-Induced Graphene for High-Precision Fine Motion Capture for Pilots

Enhancing the Directivity of Antennas Using Plasma Rings

Numerical Modeling of the Radio Wave Over-the-Horizon Propagation in the Troposphere

Frequency Reconfigurable Near-Zero Refractive Index Material for Antenna Gain Enhancement Applications

Frequency Reconfigurable Near-Zero Refractive Index Material for Antenna Gain Enhancement Applications

 

Dr. Makavelo Germain Deon | Analog sensors Award | Best Researcher Award

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Dr. Makavelo Germain Deon | Analog sensors Award | Best Researcher Award

Dr. Makavelo Germain Deon, China University of Mining and Technology, China

Makavelo Germain is a passionate researcher and dynamic professional specializing in mining engineering with a focus on strata and ground control. He is currently a Ph.D. candidate at the China University of Mining and Technology, Xuzhou, Jiangsu Province, China, where he specializes in Solid Backfilling Mining Technology for Ground Control, Rock Mechanics, and Green Mining. With a strong educational foundation, he holds a Master’s degree in Mining Engineering and a Bachelor’s degree in Geology from the University of Mahajanga, Madagascar. Makavelo’s professional journey includes roles as a Waterproof Supervisor and Technician in Astana, Kazakhstan, and HVAC Technician and Assistant Technician in Mahajanga, Madagascar. Fluent in Malagasy, English, French, and possessing basic proficiency in Russian and Chinese, he excels in cross-functional collaboration and leadership, leveraging his analytical skills to drive process improvements in his field.

Professional Profile:

Summary of Suitability for Best Researcher Award

Deon Makavelo Germain is a highly qualified candidate for the Best Researcher Award, particularly in the field of mining engineering. His extensive academic and professional experience, combined with his proven track record of impactful research, makes him a strong contender for this accolade.

🎓 Education

  • Ph.D. Candidate in Mining Engineering (2021 – Present)
    Specialized in Solid Backfilling Mining Technology for Ground Control, Rock Mechanics, and Green Mining at China University of Mining and Technology, Xuzhou, Jiangsu Province, China.
  • Master of Mining Engineering (2014 – 2017)
    Specialized in Solid Backfilling Mining Technology for Ground Control, Rock Mechanics, and Green Mining at China University of Mining and Technology, Xuzhou, Jiangsu Province, China.
  • Chinese Language Course (HSK-4) (2013 – 2014)
    Completed one year of Chinese Language Course at the International College, China University of Mining and Technology, Xuzhou, Jiangsu Province, China.
  • Bachelor of Geology (2007 – 2010)
    Earned a Bachelor’s degree in Geology from the Faculty of Sciences, University of Mahajanga, Madagascar.

🛠️ Experience

  • Waterproof Supervisor (2018 – 2021)
    Building Waterproofing Supervisor at Express Insulating Materials Co-EIMC, Astana, Kazakhstan.
  • Waterproof Technician (2017 – 2018)
    Worked as a Building Waterproofing Supervisor at Express Insulating Materials Co-EIMC, Astana, Kazakhstan.
  • HVAC Technician (2012 – 2013)
    HVAC Technician at FRIMECAM Co., Mahajanga, Madagascar.
  • HVAC Assistant Technician (2009 – 2012)
    HVAC Assistant Technician at FRIGOMAD Co., Mahajanga, Madagascar.

Publication top Notes:

Analysis of Solid Backfilling Effects on Strata and Ground Subsidence in a Longwall Coal Mine Beneath a City

Study of Slope Stability of the Mining Wall in an Open-Pit Coal Mine by the Paste Cut-and-Backfill Method

Sensitivity analysis of key factors influencing compression-induced deformation of waste rocks for backfilling to reduce environmental pollution

Recycling of crushed waste rock as backfilling material in coal mine: effects of particle size on compaction behaviours

Influential Factors in Transportation and Mechanical Properties of Aeolian Sand-Based Cemented Filling Material

 

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

 

 

 

 

 

 

 

 

Best Sensor for Smart Cities

Posted on by ScienceFather

Introduction Best Sensor for Smart Cities

Welcome to the Best Sensor for Smart Cities Award, recognizing innovative sensor technologies that contribute to the development of smarter and more sustainable cities.

Award Eligibility:

This award is open to individuals, teams, and organizations worldwide who have developed sensor technologies specifically designed for use in smart city applications. There are no age limits or specific qualifications required to apply. Publications related to the development or application of the sensor technology are encouraged but not mandatory.

Requirements:

Applicants must submit a detailed description of their sensor technology, including its design, functionality, and potential impact on smart city development. Additionally, applicants should provide any relevant supporting materials, such as videos, images, or technical documentation.

Evaluation Criteria

Submissions will be evaluated based on the level of innovation, practicality, and potential impact of the sensor technology on smart city development.

Submission Guidelines:

Submissions should be sent via email to awards@bestsensorforsmartcities.com by the deadline specified on the website. Please include “Best Sensor for Smart Cities Award Submission” in the subject line.

Recognition:

Winners of the Best Sensor for Smart Cities Award will receive a cash prize, a certificate of recognition, and media coverage highlighting their achievement.

Community Impact:

The Best Sensor for Smart Cities Award aims to promote the use of sensor technologies in smart city development, ultimately improving quality of life and sustainability in urban areas.

Biography:

The award committee is comprised of experts in the fields of sensor technology and smart city development who are dedicated to recognizing and promoting excellence in this area.

Abstract and Supporting Files:

In addition to the application form, applicants should submit an abstract of their sensor technology and any supporting files that may help illustrate its functionality and potential impact.