Shahab Naghdi | Gas Sensors | Best Researcher Award

Posted on by ScienceFather

Dr. Shahab Naghdi | Gas Sensors | Best Researcher Award

Dr. Shahab Naghdi | Gas Sensors | Postdoc researcher at Tarbiat Modares University | Iran

Dr. Shahab Naghdi is a postdoctoral researcher at Tarbiat Modares University with a specialized focus on seafood processing, bio-waste refinery, and intelligent packaging. With a solid academic foundation, Dr. Shahab Naghdi earned his Ph.D. in Seafood Processing from Tarbiat Modares University, where his doctoral research explored the extraction and application of sulfated polysaccharides and protein hydrolysates from marine by-products. His research journey has been marked by a strong emphasis on sustainable technologies and marine biotechnology, placing him at the forefront of efforts to utilize underexploited aquatic resources through eco-friendly techniques. Professionally, Dr. Shahab Naghdi has collaborated extensively with international scholars from countries including Sweden, Spain, and Indonesia, and has co-authored numerous high-impact research papers. reflecting his growing influence in the fields of food bioprocessing and marine-derived biomaterials. Dr. Shahab Naghdi’s h-index of 9 and i10-index of 8 highlight the scientific depth and consistency of his research outputs. His areas of interest include bioactive compound extraction, intelligent color-changing nanosensors, fish protein hydrolysates, and the development of biopolymer-based films for food preservation. Dr. Shahab Naghdi is skilled in ultrasonic-assisted extraction, enzymatic hydrolysis, pH-sensing technology, and analytical techniques used in evaluating antioxidant and antimicrobial properties. He has successfully applied these techniques to create sustainable solutions for food packaging and marine waste utilization, contributing both scientific innovation and environmental benefit.

Professional Profile: ORCID | Scopus | Google Scholar

Selected Publications:

  1. A starch-based pH-sensing and ammonia detector film containing betacyanin of paperflower for application in intelligent packaging of fish (2021) – 137 Citations

  2. Ultrasonic-assisted enzymatic extraction of sulfated polysaccharide from Skipjack tuna by-products (2023) – 24 Citations

  3. Parallel extraction of sulfated polysaccharides and protein hydrolysate from skipjack tuna head and their bioactive and functional properties (2023) – 21 Citations

  4. Fish Protein Hydrolysate from Sulfated Polysaccharides Extraction Residue of Tuna Processing By‐Products with Bioactive and Functional Properties (2023) – 19 Citations

 

 

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

Posted on by ScienceFather

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

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

Posted on by ScienceFather

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

 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 master’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

Liu’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 Susana Novais | Physical Sensors | Best Researcher Award

Posted on by ScienceFather

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

 

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

Posted on by ScienceFather

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

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 Bachelor’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.

🎓 Education

  • Ph.D. in Electrical and Computer Engineering
    🏫 University of Memphis | Memphis, TN | June 2020
    📜 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
    🏫 Sharif University of Technology | Tehran, Iran | Aug. 1995
    📜 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
    🏫 Iran University of Science and Technology | Tehran, Iran | March 1992
    📜 Project: Design and implementation of a Serial Interface Coder with Microprocessor 68000.

🔬 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

👨‍🏫 Professional Experience

  • Teaching Faculty | FAMU-FSU College of Engineering | Tallahassee, Florida
    📅 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
    📅 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
    📅 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 Baker’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. Makavelo Germain Deon | Analog sensors Award | Best Researcher Award

Posted on by ScienceFather

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

 

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

Posted on by ScienceFather

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 Food Safety

Posted on by ScienceFather

Introduction Best Sensor for Food Safety

In a world where food safety is paramount, recognizing the best sensor for ensuring food safety is crucial. This award aims to honor innovative solutions that enhance food safety monitoring, contributing to a healthier and more secure food supply chain.

Award Eligibility:
  • Age Limits: No age restrictions.
  • Qualification: Open to individuals, teams, and organizations worldwide.
  • Publications: No specific publication requirements.
  • Requirements: Submissions must demonstrate a novel sensor technology or application in the field of food safety.
Evaluation Criteria:

Submissions will be evaluated based on innovation, impact on food safety, scalability, and potential for widespread adoption.

Submission Guidelines:
  • Submissions should include a detailed description of the sensor technology or application.
  • Supporting documentation, such as research papers or case studies, may be included.
  • Abstracts and supporting files must be submitted online by the specified deadline.
Recognition:

Winners will receive a certificate of recognition and be featured in industry publications and events.

Community Impact:

The winning sensor technology will contribute to enhancing food safety standards, benefiting consumers and the food industry alike.

Biography:

The award aims to recognize individuals, teams, and organizations driving innovation in food safety through sensor technology.

Abstract and Supporting Files:

Submissions should contain a concise abstract summarizing the sensor technology’s impact on food safety. Supporting files may include research papers, case studies, or technical specifications.