Prof. Mohsen Hayati | Microstrip Sensor | Best Researcher Award

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

 

Dr. José Santos | Nanostructured Sensors Awards | Best Researcher Award

Dr. José Santos | Nanostructured Sensors Awards | Best Researcher Award 

Dr. José Santos, CSIC, Spain

José Pedro Santos Blanco is a Senior Scientist at the Institute of Physical and Information Technologies (CSIC) in Madrid, specializing in chemical sensors and nanostructured materials for gas detection. He obtained a degree in Physical Sciences (Electronic Specialty) in 1988 and a PhD in 1995 from the University Complutense of Madrid (UCM). Throughout his career, he has been involved in numerous international projects, particularly in the development of electronic noses, and has contributed over 100 publications and presentations in his field. He has also been awarded two patents related to electronic noses. Santos Blanco’s research focuses on designing portable sensor devices for applications in environmental monitoring, safety, and healthcare. His work has earned him four periods of recognition for excellence in research by the CNEAI, and he has successfully supervised several doctoral and master’s theses. Additionally, he actively engages in science outreach and educational initiatives.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award: José Pedro Santos Blanco

José Pedro Santos Blanco is a highly accomplished researcher with over 25 years of experience in the field of chemical sensors and nanotechnology. His extensive background and contributions make him an exceptional candidate for the Best Researcher Award. Below is a summary of his qualifications, achievements, and contributions.

Education 🎓

  • PhD in Physical Sciences (University Complutense of Madrid, 1995) 📚
  • Degree in Physical Sciences (Electronic Specialty) (University Complutense of Madrid, 1988) 📘

Career Highlights 🚀

  • Current Position: Senior Scientist (Científico Titular) at CSIC since 2008 🔬
  • Key Areas of Research:
    • Development of chemical sensors 🧪
    • Electronic noses for detecting volatiles 👃
    • Nanostructured materials for chemical sensors 🔬💡
    • Focus on applications in environment, safety, and health 🌍
    • Development of WiNOSE prototypes for real-world applications 🎤

Key Achievements 🏅

  • Over 100 international publications 📄
  • Author of 2 patents on electronic noses 🛠️
  • Supervised multiple PhD theses 🎓 (including industrial PhDs)
  • 4 periods of 6 years research work recognition (sexenios) 🏆
  • Invited to present conferences at international institutions 🌎
  • Winner of the FOTCIENCIA 14 scientific photography award 📸

Professional Experience 💼

  • Worked at the European Commission’s Joint Research Center in Ispra, Italy 🇮🇹
  • Contributed to national and European projects on electronic noses and chemical sensors ⚙️
  • Currently a scientific advisor to the company Phi4Tech 🏢

Publication Top Notes

Rare Earth Doped Metal Oxide Sensors for the Detection of Methane at Room Temperature

Sniffing Smartwatch for Online Monitoring of Selected Odorants

Detection of Aroma Profile in Spanish Rice Paella during Socarrat Formation by Electronic Nose and Sensory Panel

Direct Observation and Real-Time Tracking of an Extraordinarily Stable Folding Intermediate in Mitotic Arrest Deficient Protein 2 Folding by Single-Molecule Fluorescence Resonance Energy Transfer

The Effect of Rare Earths on the Response of Photo UV-Activate ZnO Gas Sensors

Rapid and Non-Destructive Analysis of Corky Off-Flavors in Natural Cork Stoppers by a Wireless and Portable Electronic Nose

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

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:

 

Best Nanotechnology for Sensing

Introduction Best Nanotechnology for Sensing

The Best Nanotechnology for Sensing Award recognizes outstanding contributions in the field of nanotechnology for sensing applications. This prestigious award aims to honor individuals who have made significant advancements in sensor technology using nanomaterials.

Award Eligibility:

The award is open to researchers, scientists, engineers, and innovators worldwide. There is no age limit for eligibility. Applicants must have a background in nanotechnology or a related field.

Qualifications:

Applicants should possess a Ph.D. or equivalent qualification in a relevant field. They should also have a strong publication record in the area of nanotechnology for sensing.

Requirements:

Submissions must include a detailed research proposal outlining the use of nanotechnology in sensing applications. Applicants should also provide a list of publications related to their work in this field.

Evaluation Criteria:

Submissions will be evaluated based on the significance of the research, the innovation of the approach, and the potential impact on the field of sensing technology.

Submission Guidelines:

All submissions must be sent via email to the award committee. The deadline for submissions is [insert deadline date].

Recognition:

The recipient of the Best Nanotechnology for Sensing Award will receive a cash prize and a certificate of recognition. They will also be invited to present their research at a prestigious conference.

Community Impact:

Winners of the award are expected to contribute to the community by sharing their knowledge and expertise with other researchers in the field.

Biography:

Applicants should provide a brief biography highlighting their academic and professional achievements in the field of nanotechnology for sensing.

Abstract and Supporting Files:

Submissions must include an abstract of the research proposal and any supporting files, such as graphs, charts, or images, that illustrate the research.