Dr. Francisco Javier Diez | Intelligent Sensors Awards | Best Researcher Award

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Dr. Francisco Javier Diez | Intelligent Sensors Awards | Best Researcher Award

Dr. Francisco Javier Diez, University of Valladolid, Spain

Francisco Javier Diez is a post-doctorate researcher in the Department of Agricultural and Forestry Engineering at the University of Valladolid, Spain. He holds a Ph.D. in Agri-Food and Biosystems Science and Engineering, awarded with the prestigious “Cum Laude” distinction. Additionally, he obtained a Diploma in Advanced Studies in Intelligent Systems in Engineering from the University of León, where he received an award for his research on optimizing solar thermal systems. He is also an Industrial Engineer, trained at the University of León. Dr. Diez’s research focuses on the application of artificial neural networks for predicting and estimating environmental variables relevant to agricultural and urban settings. He has published several significant articles, including studies on predicting daily ambient temperatures and global solar irradiation in Castilla y León, Spain. His work has garnered attention, with a total of 127 citations on ResearchGate, and one of his recent publications has been provisionally selected for the “Best Researcher Award.” His contributions to the field include developing models for solar energy applications and enhancing our understanding of climate dynamics in urban agriculture. Through his research, Dr. Diez aims to advance sustainable practices in agriculture and renewable energy systems.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Francisco Javier Diez is a highly qualified and accomplished post-doctoral researcher in the Department of Agricultural and Forestry Engineering at the University of Valladolid, Spain. He holds a PhD in Agri-Food and Biosystems Science and Engineering with an Outstanding “Cum Laude” qualification, reflecting his expertise and commitment to advancing research in this field.

🎓 Education

  • Ph.D. in Agri-Food and Biosystems Science and Engineering
    • University of Valladolid
    • Graduated Cum Laude with an Outstanding qualification.
  • Diploma in Advanced Studies in Intelligent Systems in Engineering
    • University of León
    • Overall average grade: 2.7/3.0
    • Awarded for the research work “Optimization of Solar Thermal Systems” by the Chair of Renewable Energies.
  • Industrial Engineer
    • University of León

💼 Work Experience

  • Postdoctoral Researcher
    • Department of Agricultural and Forestry Engineering, University of Valladolid.
    • Specializes in solar energy optimization, climate data modeling, and neural network applications for agri-food and environmental systems.

🏆 Achievements, Awards and Honors

  • 🏅 Best Researcher Award (Provisional Selection) for the publication:
    “Daily Estimation of Global Solar Irradiation and Temperatures Using Artificial Neural Networks” (Sensors, 2022).
  • 📈 Research with 127 citations on ResearchGate.
  • ✨ Awarded for the research project “Optimization of Solar Thermal Systems” by the Chair of Renewable Energies.
  • 📜 Author of several high-impact publications, including:
    • Solar Energy (Cited by 57)
    • Agronomy (Cited by 23, 19, and more).

Publication Top Notes:

Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and an Urban Park in Valladolid, Castilla y León, Spain

Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.

Daily Estimation of Global Solar Irradiation and Temperatures Using Artificial Neural Networks through the Virtual Weather Station Concept in Castilla and León, Spain

Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in an Agrometeorological Station in Castile and León, Spain

Photovoltaics and Electrification in Agriculture

Prof. Yoon-Gyung Sung | Sensing Awards | Best Researcher Award

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Prof. Yoon-Gyung Sung | Sensing Awards | Best Researcher Award 

Prof. Yoon-Gyung Sung, Chosun University, South Korea

Yoon-Gyung Sung is a distinguished professor in the Department of Mechanical Engineering at Chosun University, South Korea, where he has been a faculty member since 2001. He earned his B.S. degree in machine design from Yeungnam University in 1982, followed by an M.S. degree in mechanical vibration and control from Yonsei University in 1987. He completed his Ph.D. at The University of Alabama in 1997, specializing in the nonlinear control of large flexible systems. Dr. Sung was a postdoctoral fellow at the Korea Atomic Energy Research Institute (KAERI) from 1998 to 2000, where he further developed his expertise in control systems. His research interests encompass nonlinear system control, multiple robotics, input shaping control, and intelligent mechatronics, contributing significantly to advancements in these fields.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: 

Yoon-Gyung Sung is a distinguished academic in the field of mechanical engineering, holding degrees from prominent institutions: a B.S. in machine design from Yeungnam University (1982), an M.S. in mechanical vibration and control from Yonsei University (1987), and a Ph.D. from The University of Alabama, focusing on nonlinear control of large flexible systems (1997). He has been a faculty member at Chosun University since 2001 and currently serves as a full professor.

Education

  • Ph.D. in Mechanical Engineering
    The University of Alabama, USA
    Specialization: Nonlinear Control of Large Flexible Systems
    Year: 1997
  • M.S. in Mechanical Engineering
    Yonsei University, South Korea
    Specialization: Mechanical Vibration and Control
    Year: 1987
  • B.S. in Machine Design
    Yeungnam University, South Korea
    Year: 1982

Work Experience

  • Full Professor
    Department of Mechanical Engineering, Chosun University, South Korea
    Year: 2001 – Present
  • Postdoctoral Fellow
    Korea Atomic Energy Research Institute (KAERI)
    Years: 1998 – 2000

Publication top Notes:

Robust Input Shaping Commands with First-Order Actuators

Development of highly sensitive/durable porous carbon nanotube-polydimethylsiloxane sponge electrode for wearable human motion monitoring sensor

Robust Input Shapers for Acceleration-Limit Actuators

Design of a tribotester based on non-contact displacement measurements

Deflection reduction shaping commands with asymmetric first-order actuators

On–Off Shaping Commands for Asymmetrically Delayed Second-Order Actuators

Dr Susana Novais | Physical Sensors | Best Researcher Award

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Dr Susana Novais |Physical Sensors| Best Researcher Award

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

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

Professional Profile:

Suitability for the Best Researcher Award: 

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

Education

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

 Work Experience

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

 Skills

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

 Awards and Honors

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

 Membership

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

 Teaching Experience

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

 Research Focus

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

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

 

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

 

 

 

Dr. Salomao Moraes da Silva Junior | Sensors Award | Best Researcher Award

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Dr. Salomao Moraes da Silva Junior | Sensors Award | Best Researcher Award 

Dr. Salomao Moraes da Silva Junior, BioSense Institute, Serbia

Salomão Moraes da Silva Junior is an accomplished researcher and engineer specializing in microfluidics. He holds a Joint Ph.D. in Engineering Sciences from Vrije Universiteit Brussel and a Ph.D. in Electrical Engineering from the University of Campinas, both completed in 2019. With a diverse educational background, including a Master’s in Electrical Engineering and a Bachelor’s in Electrical Engineering, he has amassed significant expertise in microfluidics design and fabrication. Currently, Salomão serves as an Experienced Microfluidics Researcher and Postdoctoral Researcher at the BioSense Institute, University of Novi Sad, where he focuses on developing innovative microfluidic platforms and applications in biosensors, agriculture, and environmental sectors. His previous roles include working as an Engineer of New Technology at AbCheck s.r.o. and as a Doctoral and Master Research Assistant at Vrije Universiteit Brussel and University of Campinas.

Professional Profile:

Summary of Suitability for Best Researcher Award:

Salomão Moraes da Silva Junior’s extensive background in microfluidics research and engineering makes him a highly suitable candidate for the Best Researcher Award. His educational qualifications, including a Joint Ph.D. in Engineering Sciences with “Greatest distinction” and a Ph.D. in Electrical Engineering, underline his profound expertise and commitment to the field.

Education

  • Ph.D. in Engineering Sciences (Joint Ph.D. with “Greatest distinction”)
    Vrije Universiteit Brussel (VUB)
    2019
  • Ph.D. in Electrical Engineering
    University of Campinas (UNICAMP)
    2019
  • Master’s in Electrical Engineering
    University of Campinas (UNICAMP)
    2014
  • Bachelor’s Degree in Electrical Engineering
    State University of Amazonas (UEA)
    2012
  • Post-Technician in Electronics
    CETAM
    2008
  • Technician in Electronics
    Mathias Machline Foundation (FMM)
    2004

Work Experience

  • Experienced Microfluidics Researcher / Postdoctoral Researcher
    BioSense Institute at University of Novi Sad
    August 2021 – Present

    • Develops new microfluidics platforms from design to application using cleanroom microfabrication protocols.
    • Serves as a cleanroom lab manager (deputy).
    • Conducts research and publishes on microfluidics solutions applied to biosensors, agriculture, and environmental sectors.
    • Specializes in single-cell encapsulation, co-encapsulation, on-chip emulsion extraction, and pico-injection.
  • Engineer of New Technology
    AbCheck s.r.o
    September 2019 – August 2021

    • Developed new microfluidics platforms from design to application, adhering to standard protocols for cell applications.
    • Reported and presented results in internal seminars.
    • Worked on passive micromixers, single-cell encapsulation, co-encapsulation, hydrogel extraction, and pico-injection.
  • Doctoral Research Assistant
    Vrije Universiteit Brussel and University of Campinas (Joint Ph.D.)
    September 2014 – August 2019

    • Researched new fabrication protocols for microfluidics in cleanroom facilities.
    • Integrated microchannels with sensors and designed droplet generator chips, flow-focusing, and micromixers.
    • Published research in peer-reviewed journals and taught electronics.
  • Master Research Assistant
    University of Campinas
    September 2012 – August 2014

    • Developed microfabrication protocols for microfluidics in cleanroom facilities and integrated microchannels with sensors.
    • Published research in conferences and trained in electronics teaching.
  • Electronic Technician
    Videolar S/A
    2007 – 2009

    • Conducted preventive and corrective maintenance on automated manufacturing and replicating machines.
    • Wrote reporting protocols.

Publication top Notes:

A Novel Microfluidics Droplet-Based Interdigitated Ring-Shaped Electrode Sensor for Lab-on-a-Chip Applications

WET TREATMENT AND THE BEHAVIOR OF ELECTROLESS Ni-P DEPOSITION AT 40 °C ON POLISHED ALUMINA

MICROFABRICATION PROCESS OF PASSIVE AND ACTIVE MICROFLUIDIC DEVICES

Microfluidic devices on glass for liquid mixtures concentration with coupled Thz sensor

Subterahertz sensor in microfluidic devices for on-line determination and control of ethanol concentration

Mr. Yi Sun | Sensor Fabrication | Excellence in Innovation

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Mr. Yi Sun | Sensor Fabrication | Excellence in Innovation 

Mr. Yi Sun, Dalian Jiaotong University, China

Yi Sun is a Master of Science student in Mechanical Engineering, currently participating in a joint training program between Tsinghua University and Dalian Jiaotong University. His research focuses on the conversion relationships between thermal, mechanical, and electrical energy at the nanoscale. Yi has conducted dynamic response observations of thin-film thermocouples and developed mathematical models for heat transfer, leading to publications as the first author in notable journals. His work includes significant projects at the Provincial Key Laboratory of Modern Sensors and Actuators and the State Key Laboratory of Tribology, where he explores advanced topics such as thin-film thermocouple performance and tribological behavior in specialized atmospheres. Yi’s contributions are marked by his strong analytical skills and innovative approach to sensor technology and thermal dynamics.

Professional Profile:

SCOPUS

ORCID

 

Education:

  • Tsinghua University & Dalian Jiaotong University (M.E., 2022 – Present) 🎓
  • Dalian Jiaotong University (B.E., 2018 – 2022) 🎓
Research Interests:
Yi is passionate about nanoscale energy conversions and has conducted advanced research on thin-film thermocouples, contributing valuable insights into dynamic calibration and heat transfer. 🔍⚙️

Work Experience:

  1. Provincial Key Laboratory of Modern Sensors and Actuators, Dalian Jiaotong University
    Position: Researcher
    Duration: June 2023 – January 2024
    Responsibilities:

    • Studied the mechanism of large creep adhesion in wheel-rail braking at 400 km/h.
    • Contributed to the National Natural Science Foundation of China (NNSFC) projects on the effect of multi-component doped solid solution alloy on thin-film thermocouple performance and the design of transparent conductive oxide molecular-like structural units.
  2. State Key Laboratory of Tribology, Tsinghua University
    Position: Researcher
    Duration: January 2024 – Present
    Responsibilities:

    • Conducting research on the tribological behavior of foil bearings in non-oxidizing atmospheres.
  3. Dalian Jiaotong University
    Position: Master’s Student Researcher
    Duration: 2018 – 2022
    Responsibilities:

    • Developed mathematical models for heat transfer and observed dynamic responses of thin-film thermocouples on the nanoscale and nanosecond scale.
    • Published a research paper as the first author on thermoelectric electromotive force oscillation of thin-film thermocouples.

Publication top Notes:

Nanosecond-level second-order characteristics in dynamic calibration of thin film thermocouples by short-pulse laser

Preliminary Investigation of Thermoelectric Electromotive Force Oscillation of NiCr/NiSi Thin Film Thermocouple in Dynamic Calibration

Mr. Mohammad Abdolrazzaghi | Planar Sensors | Best Researcher Award

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Mr. Mohammad Abdolrazzaghi | Planar Sensors | Best Researcher Award 

Mr. Mohammad Abdolrazzaghi, University of Toronto, Canada

Mohammad Abdolrazzaghi is a distinguished Ph.D. candidate in the Department of Electrical and Computer Engineering at the University of Toronto, specializing in Electronics with a focus on integrated circuits and wireless power transfer for implantable devices. Born on February 20, 1991, he embarked on his academic journey with a B.Sc. in Electrical Engineering from Iran University of Science and Technology, where he explored split-ring resonator-based sensors. He furthered his expertise with an M.Sc. in Electromagnetics and Microwaves from the University of Alberta, during which he developed advanced planar microwave sensors. Since September 2020, Mohammad has been contributing significantly to research at the Meta-waves group and Intelligent Sensory Microsystems Laboratory at the University of Toronto. His work includes the development of phased-array systems for wireless power transmission and the design of compact antennas for biomedical applications. His notable industry experience includes leading electromagnetic research at Phased Advanced Sensors Corp., resulting in a provincial patent for oil quality monitoring sensors. Mohammad’s academic portfolio is highlighted by numerous publications in prestigious journals and conferences, reflecting his profound contributions to sensor technology and microwave engineering. His teaching experience at Humber College and the University of Toronto, where he has instructed courses on electronics and circuit analysis, underscores his commitment to education. Recognized with several awards, including the NSERC Postgraduate Scholarship and the John W. Senders Award, Mohammad’s research integrates cutting-edge technology with practical applications, significantly advancing the fields of wireless power transfer and microwave sensors.

Professional Profile:

SCOPUS

GOOGLE SCHOLAR

 

📚 Education and Experience:

Mohammad Abdolrazzaghi is a dedicated Ph.D. candidate in Electronics at the University of Toronto, specializing in integrated circuits and wireless power transfer, particularly for implantable devices. He holds an M.Sc. in Electromagnetics and Microwaves from the University of Alberta, where he made significant strides in developing advanced planar microwave sensors. His academic journey began with a B.Sc. in Electrical Engineering from Iran University of Science and Technology, where he explored split-ring resonator-based sensors.

🔬 Research and Achievements:

With extensive research experience, Mohammad has been a research assistant at the Meta-waves group and Intelligent Sensory Microsystems Laboratory at the University of Toronto since 2020. His innovative work includes developing phased-array systems for wireless power transmission and designing compact antennas for biomedical applications. His leadership in electromagnetic research at Phased Advanced Sensors Corp. resulted in a provincial patent for oil quality monitoring sensors.

📄 Publications and Teaching:

Mohammad’s prolific contributions to sensor technology and microwave engineering are reflected in numerous papers published in prestigious journals and conferences. His teaching experience spans multiple institutions, including Humber College and the University of Toronto, where he has instructed and assisted in courses related to electronics and circuit analysis. His academic excellence is further highlighted by awards such as the NSERC Postgraduate Scholarship and the John W. Senders Award for mentoring an imaginative design.

🌟 Research, Innovations, and Extensions:

In the field of sensors, Mohammad’s research has significantly advanced the development and application of microwave planar sensors, focusing on material characterization, gas/liquid sensing, and active sensors. His innovative techniques for non-contact glucose monitoring, utilizing microwave resonator-based platforms, have enhanced sensitivity and reliability. By integrating machine learning, he has improved the selectivity and accuracy of chemical and biomedical analyses. His work in microwave sensors extends to wireless communication, demonstrating potential in high-resolution sensing for industrial monitoring and environmental applications.

 

Publication top Notes:

Fascicle-Selective Ultrasound-Powered Bidirectional Wireless Peripheral Nerve Interface IC

In–human testing of a non-invasive continuous low–energy microwave glucose sensor with advanced machine learning capabilities

AI-Assisted Ultra-High-Sensitivity/Resolution Active-Coupled CSRR-Based Sensor with Embedded Selectivity

Artificially-Intelligent Fascicle-Selective Bidirectional Peripheral Nerve Interfaces

Fascicle-Selective Bidirectional Peripheral Nerve Interface IC with 173dB FOM Noise-Shaping SAR ADCs and 1.38pJ/b Frequency-Multiplying Current-Ripple Radio Transmitter

Techniques to Improve the Performance of Planar Microwave Sensors: A Review and Recent Developments