Prof. Dr. Juqing Liu | Hiding Awards | Best Researcher Award

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Prof. Dr. Juqing Liu | Hiding Awards | Best Researcher Award 

Prof. Dr. Juqing Liu, Nanjing tech university, China

Liu Juqing is a Professor at the School of Flexible Electronics (Future Technology) and the Institute of Advanced Materials at Nanjing University of Technology. He holds a Ph.D. in Information Materials from Nanjing University of Posts and Telecommunications and has extensive experience in material physics and chemistry, with postdoctoral training at Nanyang Technological University, Singapore. Liu’s research focuses on advanced materials and flexible electronics, particularly in the development of memory devices and neuromorphic systems. He has published extensively in high-impact journals like Nature Communications and Advanced Science, with his work contributing to the development of innovative materials for electronic and memory devices. In addition to his research, Liu has been granted several patents in China for his work on polymer memory devices and electrostorage technologies. He has received multiple academic awards, including the Provincial First Prize from the Ministry of Education, and leads national projects funded by the National Natural Science Foundation of China.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award and conclusion

Liu Juqing is highly suitable for the Best Researcher Award due to his extensive academic background, notable research achievements, and significant contributions to the field of flexible electronics and advanced materials. His qualifications include a PhD in Information Materials from Nanjing University of Posts and Telecommunications, along with postdoctoral research experience at Nanyang Technological University, Singapore. He has been a Professor at the School of Flexible Electronics at Nanjing University of Technology since 2014.

🎓 Education

  • PhD in Information Materials, Nanjing University of Posts and Telecommunications (2007-2011)
  • Master’s in Material Physics and Chemistry, Shantou University (2004-2007)
  • Bachelor’s in Physics, Anhui Normal University (2000-2004)

💼 Postdoctoral Experience

  • Nanyang Technological University, Singapore (2011-2013)

📚 Academic & Research Experience

  • Professor at Nanjing University of Technology (2014-present)
  • Associate Professor at Nanjing University of Technology (2013-2014)

🔬 Research Focus & Achievements

Liu Juqing’s expertise lies in flexible electronics and advanced materials, focusing on electroconductive wire tracking, photoconductive-assisted resistive switching memory, and neuromorphic systems. He has co-authored influential papers in journals like Nature Communications and Advanced Science. His research has led to several patents in the field of polymer-based memory devices, contributing significantly to material science innovations.

🏅 Awards & Honors

Liu’s work has earned recognition in the form of prestigious awards, including first prizes for “Organic Information Storage and Security” from the Ministry of Education of China in 2017.

🔧 Recent Patents

  • “Polymer Gate Devices and Their Manufacturing Method” (2024)
  • “Non-volatile Resistive Switching Memory” (2023)
  • “Two-Dimensional Molecular Crystal-Graphene Oxide Heterojunction” (2023)

🚀 Liu Juqing continues to push the boundaries of technology and materials science with a focus on integrating innovative solutions into future technologies.

Publication top Notes:

Stabilizing Carbon Dot Phosphorescence in Aqueous Solutions by Hydrogen-Bonded Networks for Dual-Wavelength-Driven Information Encryption

Robust Organic–Inorganic Heterosynapses with High PPF and Broad Photoperception

Bio-Inspired Ion-Conducting Foam Elastomer for Human Motion Monitoring

A multicolor tunable fiber with core–multishell structure by electroluminescence-thermochromic mixing

Simultaneous light and thermal emission of waterproof core-multishell fibers for woven textile electronics

Mr. Harsh Vazirani | Remote Sensing Awards | Best Researcher Award

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Mr. Harsh Vazirani | Remote Sensing Awards | Best Researcher Award 

Mr. Harsh Vazirani, School of Aerospace, Mechanical and Mechatronics Engineering, Australia

This individual is currently pursuing PhD studies at the University of Sydney, having secured a scholarship from the Ministry of Social Justice to pursue their research abroad. With over 11 years of experience in the fields of Information Technology (IT), GIS, Remote Sensing, and Library and Information Science, they have demonstrated expertise across various sectors, including teaching, consulting, and project development. Notably, they worked as a Consultant (IT) in the Department of Disability Affairs, Government of India, New Delhi, and contributed to the development of GIS and Remote Sensing projects for the Madhya Pradesh Agency for Promotion of Information Technology.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

The candidate is currently pursuing a Ph.D. at the University of Sydney, building on a solid foundation with an M.Tech in Information Technology and an M.Sc. in GIS & Remote Sensing. Their academic journey also includes certifications in Geo-informatics and a 5-year integrated M.Tech & B.Tech program from the Indian Institute of Information Technology and Management, Gwalior.

🎓 Academic Excellence:

Harsh Vazirani is currently pursuing a Ph.D. from the University of Sydney, supported by a prestigious scholarship from the Ministry of Social Justice, Government of India. He holds an integrated M.Tech and B.Tech in Information Technology from ABV-IIITM, Gwalior (2005-2010), completed with distinction. Additionally, he earned an M.Sc. in GIS & Remote Sensing from Mahatma Gandhi Gramodya Vishwavidyalaya (2015-2017). 📚

💻 Technical Expertise:

Harsh is an innovative thinker with hands-on experience in cutting-edge technologies including Python, MATLAB, PHP, AJAX, XML, and platforms such as Open Layer, D-Space, Arc GIS, Q-GIS, and Postgres SQL. His skillset extends to cloud computing, library automation systems (KOHA, D-Space), and web technologies like HTML, CSS, and JavaScript. 🌐

📊 Professional Experience:

With over 11 years of experience, Harsh has excelled in both teaching and non-teaching roles:

  • Consultant (IT): Department of Disability Affairs, Government of India, New Delhi 🏛️
  • GIS Executive: Madhya Pradesh Agency for Promotion of Information Technology 🗺️
  • Assistant Professor: Maulana Azad National Institute of Technology, Bhopal 🏫
  • Head of Department: Acropolis Institute of Technology and Research, Bhopal 💼
  • Project Fellow: Regional Institute of Education, Bhopal 📖

📌 Additional roles include positions in software development, web design, and GIS projects, making significant contributions to national and regional-level initiatives.

🛰️ Research Aspirations:

Harsh aims to deepen his expertise in Aerospace and Spacecraft System Engineering, leveraging his strong foundation in physics, engineering, GIS, and IT.

Publication top Notes:

Evolutionary radial basis function network for classificatory problems

Diagnosis of breast cancer by modular neural network

Fusion of speech and face by enhanced modular neural network

 

Dr. Ganna Volchak | Sensor Modeling Awards | Best Researcher Award

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Dr. Ganna Volchak | Sensor Modeling Awards | Best Researcher Award 

Dr. Ganna Volchak, Bogatsky Physico-Chemical Institute of the National Academy of Sciences of Ukraine, Ukraine

Dr. Ganna Volchak is a Senior Research Fellow at the O.V. Bogatsky Physico-Chemical Institute of the National Academy of Sciences of Ukraine (PCINASU), specializing in the synthesis and characterization of functional inorganic materials. She holds a PhD in Chemistry from PCINASU and has over 18 years of experience in the field. Her research focuses on advanced materials for interference optics, nanoscale systems, functionalized surfaces, and phosphate-based materials, particularly europium-based nanostructures and their optical properties. Dr. Volchak has contributed significantly to the development of materials for UV radiation detection, infrared optics, and biocompatible applications.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Ganna Volchak

Dr. Ganna Volchak is highly suited for the Best Researcher Award due to her exceptional contributions in the field of functional inorganic materials, particularly in the synthesis and characterization of advanced materials for various applications, such as interference optics, biocompatible materials, and environmental technologies. With over 18 years of experience in materials science, Dr. Volchak has demonstrated consistent excellence in research and development.

Education:

  1. Ph.D. in Chemistry
    • Institution: National Academy of Sciences of Ukraine, O.V. Bogatsky Physico-Chemical Institute, Ukraine
    • Year: 2013
  2. Master’s Degree (with honors)
    • Institution: Odessa National Polytechnic University, Ukraine
    • Year: Date not specified, prior to PhD

Work Experience:

  1. Senior Research Fellow
    • Institution: O.V. Bogatsky Physico-Chemical Institute of the National Academy of Sciences of Ukraine (PCINASU)
    • Department: Department of Chemistry of Functional Inorganic Materials
    • Years: 2006–Present
  2. Visiting Chemist
    • Institution: Polish Academy of Sciences
    • Project: NanoBRIDGES Project at Warsaw University of Technology
    • Year: Date not specified, prior to 2024
  3. Research Activities:
    Dr. Volchak has been deeply involved in the synthesis and characterization of advanced materials such as europium-based nanostructures, functionalized surfaces, and phosphate-based materials, with extensive experience in high-temperature synthesis, various spectroscopic techniques, and electron microscopy. Her research interests have led to numerous contributions in materials science, including functional inorganic materials, biocompatible technologies, and sustainable environmental solutions.

Publication top Notes:

Sulfidation of Zinc Oxide by Interaction with Antimony Sulfide

The Effect of B2O3 Addition to Magnesium, Zirconium, and Hafnium Fluorides on the Properties of Thin Films Formed from Them

Effect of B2O3 Addition on the Optical Properties of Zirconium and Hafnium Tetrafluorides in Polycrystalline and Thin Film States

Effect of B2O3 additive on the properties of ZnS-Ge system and the resulting thin-film coatings

 

Assoc. Prof. Dr. Sebnem Bora | Image Processing Awards | Best Researcher Award

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Assoc. Prof. Dr. Sebnem Bora | Image Processing Awards | Best Researcher Award 

Assoc. Prof. Dr. Sebnem Bora, Ege University, Turkey

Dr. Sebnem Bora is an Associate Professor at Ege University, Faculty of Engineering, Computer Engineering Department in Izmir, Turkey. He earned his Ph.D. in Computer Engineering from Ege University in 2006, following M.Eng. degrees from Stevens Institute of Technology, USA, and Dokuz Eylül University, Turkey, and a B.Sc. in Electrical Engineering from Dokuz Eylül University. Since joining Ege University as an Assistant Professor in 2006, he has advanced to Associate Professor in 2019, specializing in computer software and embedded systems.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: 

Dr. Şebnem Bora has a solid academic foundation, with degrees in electrical engineering, electronics, communication, and computer software engineering. Her international education experience, including a Master’s at Stevens Institute of Technology (USA), highlights her global academic exposure.

🎓 Education:

  • 📜 Ph.D. (1999–2006): Computer Engineering, Ege University, Graduate School of Natural and Applied Science, Turkey 🖥️
  • 📜 M.Eng. (1995–1997): Electrical Engineering and Computer Science, Stevens Institute of Technology, USA 🇺🇸
  • 📜 M.Eng. (1993–1995): Electronics and Communication, Dokuz Eylül University, Turkey 📶
  • 📜 B.Sc. (1989–1993): Electrical Engineering, Dokuz Eylül University, Turkey ⚡

🎓 Academic Career:

  • 📚 Associate Professor (2019–Present): Ege University, Computer Engineering Department 🏫
  • 📚 Assistant Professor (2006–2019): Ege University, Computer Engineering Department 👩‍🏫

🖥️ Courses Taught:

  • Microcontroller-Based System Design 🤖
  • Electrical Circuits 🔋
  • Microprocessors 🧮
  • Embedded and Real-Time Systems ⏱️
  • Digital Electronics 💡
  • Complex Adaptive Systems 🌐
  • Agent-Based Modeling 🤝

📖 Thesis Supervision Highlights:

  • 🌱 Deep Learning for Detecting Nutrient Deficiencies in Plants (2023) 🌾
  • 🫒 Agent-Based Modeling for Olive Fruit Fly Control in Turkey (2021) 🦟
  • 🖧 Heterogeneous Load Balancing Algorithm for Hadoop (2019) 📊
  • ⚙️ Self-Adaptive Systems Global Behavior Modeling via Agent-Based Systems (2017) 🚀
  • 🖼️ Real-Time Implementation of Digital Image Enhancement Algorithms in Embedded Systems (2012) 🖼️

🔬 Research Interests:

  • Agent-Based Modeling 🤝
  • Embedded Systems 🤖
  • Digital Electronics 💡
  • Complex Adaptive Systems 🌐

Publication top Notes:

Diagnosis of Pancreatic Ductal Adenocarcinoma Using Deep Learning

Exploiting Image Processing and Artificial Intelligence Techniques for the Determination of Antimicrobial Susceptibility

Computational Fluid Dynamics and Numeric Analysis of Aortic Wall Shear Stress Alterations Induced by Fatty Streaks

External Interventions: Bluffing and Adaptive Learning in Civil Wars

Exploiting Pre-Trained Convolutional Neural Networks for the Detection of Nutrient Deficiencies in Hydroponic Basil

Behavioural Representation of the Aorta by Utilizing Windkessel and Agent-Based Modelling

Company Security Assesment with Agent Based Simulation

Prof. Jean-Marc Laheurte | Structural Monitoring Awards | Best Researcher Award

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Prof. Jean-Marc Laheurte | Structural Monitoring Awards | Best Researcher Award 

Prof. Jean-Marc Laheurte, Laboratoire ESYCOM Université Gustave Eiffel, France

Dr. Jean-Marc Laheurte is a distinguished academic and researcher in electrical engineering, currently serving as a Professor at the University of Paris-Est (UPE) since 2002. He holds an M.Sc., Ph.D., and Habilitation à Diriger les Recherches from the University of Nice, France. His extensive career includes roles as a Research Assistant at the École Polytechnique Fédérale de Lausanne, a Post-Doctoral Researcher at the University of Michigan, and an Associate Professor at the University of Nice. Dr. Laheurte has also contributed to industry as an RF Senior Engineer at Tagsys. Since 2014, he has been the Head of the ESYCOM Laboratory, specializing in sensors, microsystems, energy harvesting, and communication technologies, overseeing a team of 75 members. His research focuses on antennas in complex environments and RFID technologies, with notable contributions including two patents, two books, multiple book chapters, and over 180 technical papers. Additionally, he plays a key role in international academic collaborations for UPE, particularly in Asia and the Middle East, and actively contributes to the European School of Antennas and the French Microwave Conference.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Jean-Marc Laheurte demonstrates a remarkable career in research, teaching, and leadership, making him an excellent candidate for the “Research for Best Researcher Award.

📚 Education:

  • 🧑‍🎓 M.Sc. (1989), Ph.D. (1992), and Habilitation à Diriger les Recherches (1997) from the University of Nice.

👨‍🔬 Professional Journey:

  • 🔬 Research Assistant, École Polytechnique Fédérale de Lausanne (1989-1990)
  • 🎓 Ph.D. Student, University of Nice (1990-1992)
  • 🌍 Post-Doctoral Researcher, University of Michigan (1992-1993)
  • 👨‍🏫 Associate Professor, University of Nice (1993-2002)
  • 👨‍🏫 Professor, University of Paris-Est (2002–Present)
  • ⚙️ RF Senior Engineer, Tagsys (2011-2012)

🏢 Leadership:

  • 🏫 Head, Institute of Electrical Engineering and Computer Science, UPE (2006-2011)
  • 🔬 Director, Laboratory of Electronics, Communication Systems, and Microsystems (ESYCOM) since 2014, overseeing a dynamic team of 75 members.

🔬 Research Areas:

  • 📡 Antennas for complex environments
  • 🏷️ RFID technologies
  • ⚡ Energy harvesting for kinetic and microwave systems
  • 🧬 Microsensors for biology and health

📖 Academic Contributions:

  • ✍️ Co-authored 2 books, 2 book chapters, 80+ journal papers, and 100+ conference papers.
  • 🛠️ Holder of 2 patents in RFID technologies.

🌍 International Engagement:

  • 🌐 Oversees the international policy for UPE in the Asia and Middle East regions.
  • 📚 Organizer of courses for the European School of Antennas and Chair of the “Antennas” committee at the French Microwave Conference (JNM) since 2007.

Publication top Notes:

Zigbee-Based Wireless Sensor Network of MEMS Accelerometers for Pavement Monitoring

Prof. Shih-Hau Fang | Acoustic Awards | Outstanding Scientist Award

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Prof. Shih-Hau Fang | Acoustic Awards | Outstanding Scientist Award 

Prof. Shih-Hau Fang, National Taiwan Normal University, Taiwan

Shih-Hau Fang is a distinguished professor in the Department of Electrical Engineering at National Taiwan Normal University (NTNU), specializing in AIoT, mm-wave radar applications, and acoustic signal sensing. He holds a Ph.D. in Communication Engineering from National Taiwan University and has a rich academic and industrial career, having previously served as a professor at Yuan-Ze University and a chief scientist at Far EasTone Telecom. Professor Fang’s research is interdisciplinary, focusing on the Internet of Things (IoT), indoor positioning, healthcare applications, and acoustic sensing technologies. He has authored numerous technical papers, holds multiple patents, and has been recognized as one of the top 2% scientists globally in networking and telecommunications. A fellow of the Institution of Engineering and Technology (IET) and a senior member of IEEE, he has received several prestigious awards, including the Outstanding Young Electrical Engineer Award and the Future Technology Award. His research team has made significant contributions to mobile computing, voice enhancement, and pathological voice analysis, with work featured in top IEEE journals and conferences. Prof. Fang’s groundbreaking work has garnered over 4000 citations, establishing him as a leading figure in his field.

Professional Profile:

Summary of Suitability for the Outstanding Scientist Award: Prof. Shih-Hau Fang

Academic and Professional Credentials:

Prof. Shih-Hau Fang is an eminent scientist with a robust academic background and substantial contributions to the fields of AIoT, mm-wave radar applications, and acoustic signal processing. His educational journey, beginning with a Bachelor’s degree in Communication Engineering from National Chiao Tung University (1999), progressing through a Master’s and Ph.D. from National Taiwan University (2001 and 2009), reflects a strong foundation in communication and engineering. Prof. Fang has consistently advanced his career, holding prestigious positions such as Full Professor at National Taiwan Normal University, Chief Scientist for AIoT at Far EasTone Telecom, and Distinguished Professor at Yuan-Ze University.

🎓 EDUCATION

  • National Chiao Tung University | Bachelor (09/1995 – 06/1999) | Communication Engineering
  • National Taiwan University, Taiwan | Master (09/1999 – 06/2001) | Communication Engineering
  • National Taiwan University, Taiwan | Ph.D. (09/2003 – 02/2009) | Communication Engineering

💼 EMPLOYMENT

  • National Taiwan University, Taiwan | Postdoctoral Researcher (02/2009 – 07/2009) | Communication Engineering
  • Yuan-Ze University, Taiwan | Assistant Professor (08/2009 – 01/2013) | Networking
  • Yuan-Ze University, Taiwan | Associate Professor (02/2013 – 07/2016) | Data Science
  • Academia Sinica, Taiwan | Visiting Scholar (01/2015 – 02/2015) | Acoustic Signal Processing
  • Yuan-Ze University, Taiwan | Full Professor (08/2016 – 07/2024) | Data Science
  • Far EasTone Telecom, Taiwan | Chief Scientist (02/2020 – 12/2020) | Cross-domain AI Applications
  • AI Innovation Research Center, Yuan-Ze University, Taiwan | Director (02/2022 – 07/2024) | Cross-domain AI Applications
  • Research and Development Office, Yuan-Ze University, Taiwan | Vice President (02/2022 – 07/2024) | AIoT, Mm-Wave Radar Applications
  • Yuan-Ze University, Taiwan | Distinguished Professor (02/2022 – 07/2024) | AIoT, Mm-Wave Radar Applications
  • National Taiwan Normal University, Taiwan | Full Professor (08/2024 – Present) | AIoT, Mm-Wave Radar Applications

🏅 HONORS

  1. 2024 IET Fellow | [Institution of Engineering and Technology]
  2. 2023-2024 ESI Highly Cited Paper | [Web of Science]
  3. 2020-2024 Top 2% Scientists | [Elsevier]
  4. 2021 Most Cited Paper | [Journal of Voice]
  5. 2021 Top 100 Download Paper | [Scientific Report]

🔬 CONTRIBUTIONS TO SCIENCE

Prof. Fang has authored 2 book chapters, holds 13 patents, and published 60 journal articles. He has 58 international conference papers and has accumulated over 4000 citations on Google Scholar. His research breakthroughs include:

  • Indoor positioning: Eliminating multipath effects, published in IEEE ToWC with 263 citations.
  • Neural networks: Published in IEEE ToNN with 289 citations.
  • Mobile computing: Improving efficiency, published in IEEE ToMC.
  • Voice enhancement technology: Developed a commercially viable offline voice control module.

In 2020, Prof. Fang’s team achieved 3rd place in Track 6 and 1st place in Track 7 at the International Indoor Navigation Competition. Their work in pathological voice analysis ranks among the best globally, with their detection accuracy being one of the highest.

🌍 IMPACT & INNOVATIONS

  • Prof. Fang has pioneered voice enhancement technologies, receiving the Gold Award at the 2021 Taiwan Innovation Expo and the Future Technology Breakthrough Award (2019).
  • His team’s work on AI applications in healthcare has greatly improved pathological voice analysis through a fully annotated voice database in collaboration with Far Eastern Memorial Hospital.

🎯 Research Focus:

  • AIoT
  • mm-Wave Radar
  • Acoustic Signal Processing
  • Indoor Positioning Systems

Publication top Notes:

 

A Lightweight Learning Framework for Packet Loss Concealment and Speech Enhancement

Novel Human-Posture Recognition System Based on Advanced Graph Convolutional Network Using Skeletal Data

Novel Subject-Dependent Human-Posture Recognition Approach Using Tensor Regression

Prediction of Customer Behavior Changing via a Hybrid Approach

Unsupervised Face-Masked Speech Enhancement Using Generative Adversarial Networks With Human-in-the-Loop Assessment Metrics

Improved Speech Authenticity Detection in Chinese–English Bilingual Contexts

 

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

Assoc. Prof. Dr. Jinzhu Zhang | Cyber Twin Awards | Best Researcher Award

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Assoc. Prof. Dr. Jinzhu Zhang | Cyber Twin Awards | Best Researcher Award

Assoc. Prof. Dr. Jinzhu Zhang, Taiyuan University of Technology, China

Dr. Jinzhu Zhang is an Associate Professor at the College of Mechanical Engineering, Taiyuan University of Technology, in Taiyuan City, Shanxi Province, China. He completed his Ph.D. and Bachelor’s degree at Yanshan University, China, where he conducted research on the design of a hexapod robot with protective mechanical legs. After earning his Ph.D., he worked as a Postdoctoral Fellow at Tsinghua University, focusing on the synthesis of less-degree-of-freedom (DOF) parallel drive mechanisms. Since 2019, Dr. Zhang has been serving as a Lecturer and, more recently, an Associate Professor at Taiyuan University of Technology. His current research involves the interactive control of bionic robots, utilizing digital twin technology. Dr. Zhang has led over 10 national and provincial-level projects, including significant contributions to a National Natural Science Foundation project and a key national project. He has been granted 42 Chinese invention patents and one U.S. patent. In addition to his research accomplishments, he has edited two textbooks on robotics and received numerous accolades, including a second-class teaching achievement award in Shanxi Province, a “Good Design” creative award, and the Mechanical Engineering Society’s Outstanding Paper Award. Dr. Zhang is also a dedicated educator, teaching courses such as “Electromechanical Transmission and Control,” “Industrial Robotics,” and “Robot Mechanism,” where he serves as the course leader. His extensive research in special robots and biomimetic robots has contributed significantly to the field of robotics.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Dr. Jinzhu Zhang, an Associate Professor at Taiyuan University of Technology, is highly deserving of the Best Researcher Award based on his impressive academic and professional achievements, extensive research contributions, and significant impact in the field of robotics. His work has been groundbreaking in the areas of kinematics, control mechanisms, and biomimetic robot design, particularly focusing on bionic quadruped robots and hexapod robots.

🎓 Work & Study Experience

  • 2009.9 – 2019.1
    PhD/BSc
    “Design of a Hexapod Robot with Easy Protection Mechanical Legs”
    College of Mechanical Engineering, Yanshan University, China.
  • 2020.1 – 2022.12
    Postdoc
    “Less DOF Parallel Drive Mechanism Synthesis”
    College of Mechanical Engineering, Tsinghua University, China.
  • 2019.3 – 2021.11
    Lecturer
    “Motion Control of Bionic Quadruped Robots”
    College of Mechanical Engineering, Taiyuan University of Technology, China.
  • 2021.11 – Present
    Associate Professor
    “Interactive Control of Bionic Robots Based on Digital Twin”
    College of Mechanical Engineering, Taiyuan University of Technology, China.

🔬 Research Interests

  • 🤖 Design of Hexapod Robots with Easy Protection Mechanical Legs
  • 🔧 Less DOF Parallel Drive Mechanism Synthesis
  • 🦓 Motion Control of Bionic Quadruped Robots
  • 🌐 Interactive Control of Bionic Robots Based on Digital Twin

🏆 Achievements

  • 🔬 Over 10 national and provincial-level projects
    Including a sub-topic of a national key project, a National Natural Science Foundation project, and a Shanxi Provincial Application-based Basic Research Plan project.
  • 💡 42 Chinese Invention Patents & 🇺🇸 1 American Invention Patent
  • 📚 Two textbooks on robotics published.
  • 🏅 Awards:
    • Second-class Award for Teaching Achievements in Shanxi Province
    • “Good Design” Creative Award
    • Mechanical Engineering Society Outstanding Paper Award

👩‍🏫 Teaching & Administration

  • Teaching “Electromechanical Transmission and Control”
  • Teaching “Industrial Robotics”
  • Teaching “Robot Mechanism” (Course Leader)
  • ⭐ Excellent League School Instructor

🔧 Expertise

Dr. Zhang has long been engaged in research on kinematics and control of special robots and biomimetic robots. He has a strong track record in robot design, motion control, and digital twin technology.

Publication top Notes:

Research on the Virtual–real Interaction System and Interaction Characteristics of a Single-leg of Quadruped Robots Based on Digital Twin

Optimization Design of Redundant Parallel Posture Adjustment Mechanism for Solar Wing Docking Based on Response Surface Methodology

Configuration design of movable heavy-duty reconfigurable posture adjustment platform with dual motion modes

Mechanism design and dynamic switching modal control of the wheel-legged separation quadruped robot

End Face Attitude Detection of Special Steel Bars Based on Improved DBSCAN

Kinematic and dynamic analysis of a 4-DOF over-constraint parallel driving mechanism with planar sub-closed chains

 

Prof. Dr. Federico Masís Melendez | Soils Awards | Best Researcher Award

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Prof. Dr. Federico Masís Melendez | Soils Awards | Best Researcher Award 

Prof. Dr. Federico Masís Melendez, TEC, Costa Rica

Federico Masís Meléndez is a Professor at the School of Chemistry at the Instituto Tecnológico de Costa Rica (TEC), where he has been a faculty member for over 17 years. He holds a BSc in Industrial Chemistry from the National University of Costa Rica, an MSc in Agricultural Sciences and Natural Resources with an emphasis on soils from the University of Costa Rica, and a PhD in Agroecology, Soil Physics, and Hydropedology from Aarhus University in Denmark. His research focuses on environmental chemistry, soil remediation, and agroecology, with significant projects in areas like cyanotoxin contamination, biochar production from agro-industrial waste, and the promotion of circular economies in agro-food systems. He has coordinated various research projects aimed at environmental protection, sustainable agriculture, and water management. Dr. Masís is an established researcher with numerous contributions to scientific knowledge and has mentored several students in environmental and engineering fields. He is also actively engaged in community-based environmental projects and has collaborated internationally on advanced environmental research.

 

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award: Federico Masís Meléndez

Research Expertise: Federico Masís Meléndez is a seasoned academic and researcher with a focus on environmental chemistry, soil science, and agroecology. With a career spanning over 17 years at the Instituto Tecnológico de Costa Rica (TEC), he has made significant contributions to the fields of environmental soil physics, soil remediation, and sustainable agriculture. His research addresses crucial environmental challenges, such as contamination in aquatic environments, biochar production for environmental protection, and water footprint reduction in agro-food systems.

Academic Background

🎓 University Education

  • BSc in Industrial Chemistry (2004) | National University, Costa Rica
  • MSc in Agricultural Sciences and Natural Resources (PPCARN) with emphasis on soils (2010) | University of Costa Rica
  • PhD in Agroecology, Soil Physics, and Hydropedology (2015) | Aarhus University, Denmark

 Work Experience

  • Instituto Tecnológico de Costa Rica (TEC) | Teacher and Researcher in School of Chemistry and Environmental Engineering program since 2007
  • Earth University | Guest Professor in Inorganic and Organic Chemical Processes (2008)
  • Universidad Estatal a Distancia (UNED) | General Chemistry, Organic Chemistry, and Biochemistry (2006-2008)
  • University of Costa Rica (UCR) | Researcher in Soil/Crop Nutrition and Postharvest Technology (2005-2008)

Research and Extension Projects

  • Evaluation of Organic and Inorganic Contamination in Aquatic Environments | Project Coordinator (2022-2025)
  • Production and Characterization of Biochars from Agro-industrial Waste | Project Coordinator (2022-2024)
  • Development of a Technological Package to Promote Circular Economy in Agro-food Production | Coordinated by Agricultural Engineering, TEC (2021-2022)

Community Engagement Activities

  • Official Laboratory of Pesticide Residues | Phytosanitary Service, Ministry of Agriculture and Livestock (2003-2005)
  • GUTIS Pharmaceutical Products | Quality Control Laboratory (2005)
  • Environmental Soil Chemistry | Saitama University, Japan (2014)
  • PhD Internship at Aarhus University, Denmark | Pesticide Leaching Program (2010)

Publication top Notes:

Gas diffusion-derived tortuosity governs saturated hydraulic conductivity in sandy soils

CITED: 33

Variability of physical and chemical properties of TLUD stove derived biochars

CITED: 29

Assessing soil water repellency of a sandy field with visible near infrared spectroscopy

CITED: 28

Residuos de agroquímicos en sedimentos de ríos, Poás, Costa Rica

CITED: 22

Effects of soil bulk density on gas transport parameters and pore-network properties across a sandy field site

CITED: 16

 

 

Ms. Rachel Stephen Mollel | Machine Learning Awards | Best Scholar Award

Posted on by Global Sensor Awards

Ms. Rachel Stephen Mollel | Machine Learning Awards | Best Scholar Award

Ms. Rachel Stephen Mollel, University of Strathclyde, United Kingdom

Rachel Stephen Mollel is a Ph.D. student in Electrical and Electronic Engineering at the University of Strathclyde, UK. Her research focuses on machine learning, explainable AI, energy demand-side management, smart metering, and non-intrusive load monitoring (NILM). She holds a Master of Engineering from Arkansas Tech University, USA, and a Bachelor’s degree in Telecommunication Engineering from Visvesvaraya Technological University, India. Rachel has contributed significantly to the energy sector, exploring the role of smart meters in reducing energy costs and enhancing communication between energy providers and consumers. Her recent work, which investigates the potential of NILM to reveal hidden demand flexibility in residential energy consumption, has been published in various peer-reviewed journals and conferences. Additionally, she is actively involved in improving the interpretability of NILM models to enhance algorithm performance. Her contributions have been recognized with a Commonwealth Scholarship in 2020.

Professional Profile:

ORCID

Summary of Suitability for the Best Scholar Award:

Rachel Stephen Mollel is a highly suitable candidate for the Best Research Scholar Award based on her significant contributions to the fields of machine learning, explainable AI, and energy demand-side management. As a PhD student at the University of Strathclyde, her research aims to address critical energy issues through innovative approaches like Non-Intrusive Load Monitoring (NILM), which helps uncover hidden demand flexibility in residential energy consumption.

Education:

  • 2021 – Present: PhD in Electrical and Electronic Engineering, University of Strathclyde, UK
  • 2010 – 2012: Master of Engineering, Arkansas Tech University, USA (GPA: 3.75/4.0)
  • 2006 – 2010: Bachelor’s degree in Telecommunication Engineering, Visvesvaraya Technological University, India (First Class)

Work Experience:

  • 2011 – 2012: Graduate Assistant, Arkansas Tech University, USA
    Assisted in the Digital Logic and Robotics Course & Lab; delivered tutorials, graded lab reports and exams, and supported the development of course materials under faculty supervision.
  • 2014 – 2020: Assistant Lecturer, University of Dar es Salaam, Tanzania
    Delivered lectures, prepared and graded exams in Control Systems Engineering and Fundamentals of Electrical Engineering. Supervised undergraduate student projects, practical training, and fieldwork. Managed various administrative duties, such as student registration and coordination of departmental examinations.

Publication top Notes:

Explainability-Informed Feature Selection and Performance Prediction for Nonintrusive Load Monitoring

Using explainability tools to inform non-intrusive load monitoring algorithm performance

Using explainability tools to inform NILM algorithm performance