Prof. Mohsen Hayati | Microstrip Sensor | Best Researcher Award

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Prof. Mohsen Hayati | Microstrip Sensor | Best Researcher Award 

Prof. Mohsen Hayati, Razi University, Iran

Dr. Mohsen Hayati is a Professor in the Electrical Engineering Department at Razi University, Kermanshah, Iran, where he has held various academic and administrative positions, including Head of the Department and Dean of Industry Relations. He earned his Ph.D. in Electronics from Delhi College of Engineering, India. Dr. Hayati’s research interests focus on electronic circuit synthesis, microwave and millimeter-wave devices, and the application of computational intelligence techniques like Artificial Neural Networks (ANN) and Neuro-Fuzzy Inference Systems (ANFIS) for system modeling and simulation. He has supervised 25 Ph.D. and 150 M.Sc. students, published numerous scientific papers, and holds multiple patents. Recognized for his contributions, he has received Razi University’s Distinguished Researcher Award multiple times and was named among the top 2% highly cited researchers globally from 2021 to 2024.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Hayati’s extensive research experience includes developing innovative systems such as high-accuracy viscometers, fault indicators for power lines, and advanced microstrip filters. His research in artificial neural networks (ANN), fuzzy systems, and neuro-fuzzy inference systems for modeling and simulations has been impactful. Additionally, his published work and patents, including several related to automation and control systems, highlight his creativity and problem-solving skills.

Education 🎓

  • Ph.D. in Electronics, Delhi College of Engineering, Delhi University, India (1988–1992)
    Thesis: Analysis and Optimization of Pipeline Network based on Graph Theory

  • M.Sc. in Electronics, Delhi College of Engineering, Delhi University, India (1986–1987)
    Thesis: Design and Analysis of Digital Ratio Meter

  • B.Sc. in Electronics, Nagarjuna University, India (1980–1985)
    Thesis: Design of Random Sequence Generator

Work Experience 🏫

  • Professor: Electrical Engineering Department, Razi University (2014–Present)

  • Associate Professor: Electrical Engineering Department, Razi University (2008–2014)

  • Assistant Professor: Electrical Engineering Department, Razi University (1993–2008)

  • Head of Electrical Engineering Department: Razi University (1993–1996)

  • Dean of Industry Relations Office: Razi University (2004–2007)

  • Head of Computational Intelligence Lab: Razi University (2008–Present)

  • Principal of Razi Engineering College: Razi University (2015–Present)

Achievements 🏆

  • Supervisor:

    • 25 Ph.D. students

    • 150 MSc students

  • Research Interests:

    • Electronic circuits synthesis

    • Microwave and millimeter-wave devices and circuits

    • Computational intelligence (ANN, Fuzzy System, ANFIS) for simulations and modeling

Awards & Honors 🏅

  • Razi University Distinguished Researcher Award (2005–2023)
    Multiple years of recognition for excellence in research

  • Foundation of Distinguished People in West of Iran Award (2010)

  • Top 2% Highly Cited Researcher (2021–2024)

  • Patent Awards:

    • “Birds Repellent for Electric Power Stations”

    • “High Accuracy Digital Viscometer for Paints”

    • “Digital Measuring and Automatic Control of Chlorine Concentration System”

    • “Fault Indicator Instrument in High Power Lines”

    • “Digital Intelligent Guidance System for Blind People”

Publication Top Notes:

Application of artificial neural networks for temperature forecasting

CITED:204

Artificial neural network approach for short term load forecasting for Illam region

CITED:199

Multilayer perceptron neural networks with novel unsupervised training method for numerical solution of the partial differential equations

CITED:156

Optical biosensors using plasmonic and photonic crystal band-gap structures for the detection of basal cell cancer

CITED:90

An ultra-high sensitive plasmonic refractive index sensor using an elliptical resonator and MIM waveguide

CITED:88

 

Prof. Cesare Malagu | Gas sensors Awards | Best Researcher Award

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Prof. Cesare Malagu | Gas sensors Awards | Best Researcher Award

Prof. Cesare Malagu , University of Ferrara, Italy

Cesare Malagu’ is an Associate Professor at the University of Ferrara’s Department of Physics and Earth Sciences in Italy, where he has been a faculty member since 1997. He leads the semiconductor field at the Sensor and Semiconductor Laboratory and is the founder of SCENT S.r.l. His research focuses on the electrical, optical, and transport properties of semiconductor materials, with a particular emphasis on the development and application of chemo-resistive sensors for environmental monitoring and industrial technology transfer. Dr. Malagu’ holds a PhD in Physics from the University of Ferrara, where his doctoral thesis explored sensors for tetrahydrofuran and methanol. He has extensive teaching experience, offering courses in General Physics and Sensors at both the university and engineering departments. With an H-index of 39, his contributions to the field have been widely recognized. He is fluent in Italian and English, with proficiency in French and Spanish, and possesses strong organizational and technical skills, particularly in material science, nanotechnology, and sensor development for various applications, including medical diagnostics and food safety.

Professional Profile:

SCOPUS

Research for Best Researcher Award: Suitability Summary for Dr. Cesare Malagu

Dr. Cesare Malagu, an Associate Professor at the University of Ferrara, Italy, stands out as a highly suitable candidate for the Best Researcher Award. His extensive academic and research background, combined with significant contributions to the field of semiconductor sensors and gas sensing technology, underlines his qualifications for this recognition.

🎓 Education

Ph.D. in Physics
University of Ferrara
1997-2001

  • Focus: Environmental and industrial monitoring of gas emissions.
  • Ph.D. Thesis: “Sensori per tetraidrofurano e metanolo: dal modello alla caratterizzazione.”
  • Main Objective: Demonstrated the potential of chemo-resistive sensors for industrial technology transfer and the basic interpretation of semiconductor physics applied to nanostructured semiconductors.

💼 Work Experience

Associate Professor
University of Ferrara, Department of Physics and Earth Sciences
1997 – Present

  • Coordinates activities in the semiconductor field at the Sensor and Semiconductor Laboratory.
  • Responsible for the sensor group and founder of SCENT S.r.l.
  • H-index: 39.

Teaching Experience

  • Department of Physics
    • Sensors (2010 – Present)
    • General Physics II (2011 – Present)
  • Department of Chemistry
    • General Physics I (2006 – 2011)
  • Engineering Department
    • General Physics II (2003 – 2007)

🏆 Achievements, Awards, and Honors

  • H-index of 39: Acknowledged for high citation impact in academic publications.
  • Founder of SCENT S.r.l.: Established a company focusing on sensor technology and applications.
  • Coordination Role: Coordinator of the Sensors Group at the Department of Physics since 2010, managing a team of researchers and technicians.

Publication Top Notes:

Investigating the Temperature-Dependent Kinetics in Humidity-Resilient Tin–Titanium-Based Metal Oxide Gas Sensors

Nanostructured Eu-doped Ceria for humidity sensing: A morphological perspective

Insights into the Morphology and Structural Defects of Eu-Doped Ceria Nanostructures for Optoelectronic Applications in Red-Emitting Devices

Gas-sensing performance of SnO2-based chemoresistive sensors after irradiation with alpha particles and gamma-rays

Overview of Gas Sensors Focusing on Chemoresistive Ones for Cancer Detection

A Portable Device for I–V and Arrhenius Plots to Characterize Chemoresistive Gas Sensors: Test on SnO2-Based Sensors

Chemoresistive Nanosensors Employed to Detect Blood Tumor Markers in Patients Affected by Colorectal Cancer in a One-Year Follow Up

 

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

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

 

Mrs. Caroline Schio | Sensor-Enhanced Education | Best Researcher Award

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Mrs. Caroline Schio | Sensor-Enhanced Education | Best Researcher Award

Mrs. Caroline Schio, University of Lisbon, Portugal

Caroline Schio is a dedicated researcher and educator specializing in oceanography, environmental education, and agroecosystems. Currently pursuing a PhD in Science Didactics at Universidade de Lisboa, her work focuses on integrating ocean citizenship into basic education through innovative design-based research. With a strong background in socio-environmental education and practical learning, Caroline has led and participated in various research projects, including developing pedagogical models and guides for environmental literacy. Her professional experience spans roles as an educator and president at Instituto Monitoramento Mirim Costeiro in Brazil, and she has contributed to environmental education through numerous publications and conferences. Fluent in Portuguese, English, and Spanish, Caroline is committed to advancing environmental awareness and citizen science.

Professional Profile:

Orcid

Suitability Summary for Best Researcher Award

Researcher: Caroline Schio

Summary:

Caroline Schio is an exemplary candidate for the Best Researcher Award, recognized for her impactful research and dedication to advancing environmental education and oceanography. Her interdisciplinary approach, combining scientific research with practical education, underscores her significant contributions to the field.

🎓Education:

Caroline Schio is currently pursuing a PhD in Science Didactics at Universidade de Lisboa / Instituto de Educação, Portugal, starting in September 2020. She holds a Postgraduate Certificate in Agroecosystems from Universidade Federal de Santa Catarina, Brazil, awarded in April 2015. Additionally, Caroline completed a Postgraduate Certificate in Fisheries Economics and Management from Universitat Autònoma de Barcelona, Spain, in June 2009. Her academic journey began with a Bachelor in Oceanography from Universidade do Vale do Itajaí, Brazil, obtained in December 2007.

🏢Work Experience:

Caroline Schio has been awarded a PhD Scholarship by Fundação para a Ciência e a Tecnologia at Universidade de Lisboa, Portugal, from November 2023 to November 2025. Prior to this, she worked as a Technician for the Programa Maçarico de Literacia do Oceano at CoLab +ATLANTIC, Portugal, from March 2021 to October 2022. Caroline served as both an Educator and President at Instituto Monitoramento Mirim Costeiro in Brazil from February 2018 to February 2023. She also worked as an Editor and Columnist in the Socioenvironmental Area at Jornal da Praia, Brazil, from July 2011 to December 2012. Earlier in her career, Caroline volunteered as a Researcher at Parque Nacional Manuel Antônio in Costa Rica from December 2006 to February 2007 and worked as an Environmental Educator at Instituto Ambiental Kat Schürmann, Brazil, from December 2005 to March 2006.

Publication Top Notes:

  • Design of a Pedagogical Model to Foster Ocean Citizenship in Basic Education
  • Cultura Oceânica para a Economia Azul
  • Ocean Literacy for the Blue Economy
  • Criaturas da Barra e das Demais Praias da Região de Garopaba-SC
  • Monitoramento Mirim Costeiro

 

 

 

 

Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

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Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

Ms. Xinlu Bai, Changchun university, China

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, following an Engineering Degree from Zhengzhou University of Finance and Economics (2018-2022). Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His research includes the development of the GR-YOLO algorithm, which improves detection performance over existing methods like YOLOv8, with notable advancements in accuracy across various datasets. Xinlu’s work has been published in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. He has been recognized for his excellence in competitions, winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

Professional Profile:

Orcid

Suitability Summary for Best Researcher Award

Researcher: Xinlu Bai

Summary:

Xinlu Bai is a highly qualified candidate for the Best Researcher Award, distinguished by his innovative research and significant contributions to the field of computer science, particularly in pedestrian detection technology. Bai’s work demonstrates a clear commitment to advancing technology through rigorous research and practical applications.

🎓Education:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, which he has been enrolled in since 2023. He previously completed his Engineering Degree at Zhengzhou University of Finance and Economics, where he studied from 2018 to 2022. Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His development of the GR-YOLO algorithm, which enhances detection performance compared to YOLOv8, has been recognized through publications in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. His excellence has been acknowledged in various competitions, including winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

🏆Awards:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, having previously completed his Engineering Degree at Zhengzhou University of Finance and Economics. His contributions to computer vision, particularly through the development of the GR-YOLO algorithm, have been published in Sensors and guided by Professors Deyou Chen and Nianfeng Li. Xinlu’s excellence in the field has been recognized with several prestigious awards: he won the First Prize in the Jilin Province Virtual Reality Competition, the Second Prize in the China Virtual Reality Competition (Data Visualization Track), and the Third Prize in the Jilin Province Ruikang Robot Competition.

Publication Top Notes:

Title: Dense Pedestrian Detection Based on GR-YOLO