Prof. Mostafa Eltokhy | Wireless Communications | Best Researcher Award

Posted on by ScienceFather

Prof. Mostafa Eltokhy | Wireless Communications | Best Researcher Award 

Prof. Mostafa Eltokhy, Helwan University, Egypt

Dr. Mostafa Aly Refay Eltokhy is a distinguished professor in Electronics and Communication Engineering at the Faculty of Technology and Education, Helwan University, Cairo, Egypt. He currently serves as the Vice Dean for Community Service and Environmental Development and Head of the Electronics Technology Department. He earned his Ph.D. in Electronics Engineering from Osaka University, Japan, specializing in integrated circuit design for wired and wireless applications. Dr. Eltokhy holds an M.Sc. in Industrial Education from Eindhoven University, Netherlands, and a B.Sc. in Electrical Engineering from Zagazig University, Egypt, where he graduated with honors. With extensive experience in teaching, research, and administration, he has contributed significantly to digital and analog circuit design, image signal processing, and high-performance electronic systems. He has supervised numerous graduate students, led academic committees, and collaborated on international research projects. His expertise spans digital signal processing, communication systems, electronic circuits, and computer simulations. Dr. Eltokhy has also been actively involved in training programs, curriculum development, and scientific conferences, furthering advancements in electronics and communication engineering.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Dr. Mostafa Aly Refay Eltokhy has a strong academic background in Electronics and Communication Engineering, extensive teaching and administrative experience, and a diverse research portfolio in circuit design, digital signal processing, and telecommunications. However, suitability for the Best Researcher Award depends on specific award criteria, such as the number of high-impact publications, citations, patents, funded projects, and overall research contributions.

🎓 Education

📌 Ph.D. in Electronics Engineering – Osaka University, Japan (1999-2003)
🔹 Thesis: “A Study on Circuit Design of Integrated CMOS Analog Matched Filter”

📌 M.Sc. in Industrial Education – Eindhoven University, Netherlands (1996-1997)

📌 Diploma in Education – Fontes University, Netherlands (1996-1997)

📌 B.Sc. in Electrical Engineering (Electronics & Telecommunication) – Zagazig University, Egypt (1988-1993)
🔹 Graduated with Excellent with Honor Degree (86.23%)

📌 BTEC Level 4 Professional Diploma for Training & Development – Cairo, Egypt (2009)

💼 Work Experience

👨‍🏫 Professor & Vice Dean – Helwan University, Faculty of Technology & Education (1995 – Present)
🔹 Vice Dean for Community Service & Environmental Development (2022 – Present)
🔹 Head of the Electronics Technology Department

📌 Academic Positions:
🔹 Assistant Professor (2003 – Present)
🔹 Teacher Assistant (1998 – 2003)
🔹 Administrator (1996 – 1998)

📌 Part-Time Roles:
🔹 Lecturer at Banha University, High Institute of Technology (2003-2007, 2011)
🔹 Instructor at High Ministry of Education, Engineering Institutes (2010-2022)

📌 Supervision of Research & Projects:
🔹 Supervised multiple Master’s and Ph.D. theses in CDMA, Bluetooth, Speech Recognition & Satellite Communications
🔹 Led numerous Graduation Projects in FPGA, DS-CDMA, and Robotics

📌 Training & Industry Experience:
🔹 Osaka University, Japan – Postdoctoral Researcher (2008-2009)
🔹 Military Service – Engineering workshops in Egyptian Army (1993-1995)
🔹 Extensive training & curriculum development in Egypt, Netherlands, & Japan

🏆 Achievements, Awards & Honors

🏅 Ph.D. Scholarship – Osaka University, Japan
🏅 Master’s Scholarship – Eindhoven University, Netherlands
🏅 Session Chair & Reviewer – IEEE International Conferences (2008)
🏅 Curriculum Developer – Audio, Video & Radio Systems at Industrial Education College, Egypt
🏅 Contributor to Egyptian Technical Colleges Project (ETCP) – Electronics & Electrical Lab Specifications

🔬 Research & Expertise

📡 Specialty Areas:
✅ Integrated Circuits for Wired & Wireless Applications
✅ Image Signal Processing 📷
✅ Digital & Analog Circuit Design

📘 Teaching Expertise:
✅ Audio/Video & Radio Systems 🎙️📺
✅ Digital Signal Processing & Telecommunication 📡
✅ Biomedical Instruments & Industrial Control Applications ⚙️

Publication Top Notes:

CITED:87
CITED:32
CITED:27
CITED:23
CITED:22

Prof. Mohammad ali Shamsi Nejad | Power Electronics Awards | Excellence in Research

Posted on by ScienceFather

Prof. Mohammad ali Shamsi Nejad | Power Electronics Awards | Excellence in Research

Prof. Mohammad ali Shamsi Nejad , Faculty of Electrical Engineering and Computer, Iran

Dr. Mohammad Ali Shamsi Nejad is a distinguished Iranian professor in electrical and computer engineering, specializing in power electronics and solar energy. he earned his B.Sc. (1990) and M.Sc. (1996) in Electrical Engineering from Sharif University of Technology, Tehran, before pursuing a Ph.D. at the Institut National Polytechnique de Lorraine (INPL) in France, where he conducted research at the GREEN Lab. His academic career at the University of Birjand began in 1990 as a lecturer, later advancing to assistant professor in 2006 and achieving the rank of professor in 2020. Alongside his academic pursuits, Dr. Shamsi Nejad gained valuable industry experience as a technical manager and advisor at Iran Manyazia in Birjand. His expertise lies in power electronics and renewable energy technologies, making significant contributions to the field through research and teaching.

Professional Profile:

SCOPUS

Summary of Suitability for Excellence in Research – Mohammad Ali Shamsi-Nejad

Based on the provided information, Prof. Mohammad Ali Shamsi-Nejad exhibits strong research credentials and significant academic contributions. Below is an evaluation of his suitability for the Research for Excellence in Research program.

🎓 Education

  • Ph.D. in Electrical Engineering (2003-2006) – Institut National Polytechnique de Lorraine (INPL), Nancy, France 🏛️
    • Research at GREEN Lab. (Groupe de Recherche en Electrotechnique et Electronique de Nancy), ENSEM
  • M.Sc. in Electrical Engineering (1994-1996) – Sharif University of Technology, Tehran, Iran ⚡
    • General Average: 17/20 📈
  • B.Sc. in Electrical Engineering (1985-1990) – Sharif University of Technology, Tehran, Iran ⚙️
    • General Average: 15/20 📊

💼 Work Experience

  • Professor (2020 – Present) – University of Birjand, Iran 🎓
  • Assistant Professor (2006 – 2020) – University of Birjand, Iran 📚
  • Ph.D. Student (2002-2006) – INPL, France 🔬
  • Lecturer (1996-2002) – University of Birjand, Iran 👨‍🏫
  • Lecturer (1990-1994) – University of Birjand, Iran 🏛️
  • Advisor (1991-2003) – Iran Manyazia Factory, Birjand, Iran 🏭
  • Technical Manager (1990-1991) – Iran Manyazia Factory, Birjand, Iran ⚡

🏆 Achievements, Awards & Honors

  • Promoted to Full Professor at University of Birjand (2020) 🎖️
  • Expertise in Power Electronics & Solar Energy 🌞⚡
  • Contributions to Electrical Engineering Research & Education 📚
  • Published research in the field of Power Electronics & Renewable Energy 🔬

Publication Top Notes:

Adaptive PI controller for voltage regulation of KY converter

Refined HERIC-style grid-connected PV inverter utilizing a bidirectional semi-active clamping concept

A new emotional intelligent adaptive system for controlling the proposed sensor-less induction motor drive with dual stator winding based on a ten-switch converter in low speed range

Dr. Wenjuan Liu | Resonators Awards | Best Researcher Award

Posted on by ScienceFather

Dr. Wenjuan Liu | Resonators Awards | Best Researcher Award 

Dr. Wenjuan Liu, The Institute of Technological Sciences, Wuhan University, China

Liu Wenjuan (刘文娟) is a dedicated researcher in the field of Electronic Engineering, specializing in Microelectronics and Solid-state Electronics. she obtained her Ph.D. from Fudan University in 2020, where she focused on the fabrication of micromachined ultrasonic transducers. Liu has extensive international experience, having worked as a visiting student at CNRS-IEMN-DOAE UPHF in France, VIRTUS, School of EEE at NTU in Singapore, and completed an internship at the Institute of Microelectronics A*STAR in Singapore. Her research interests include acoustic sensors for RF and medical imaging, particularly the development of Aluminum Nitride piezoelectric micromachined ultrasonic transducers (PMUT) for high-resolution imaging. Liu has a strong background in Finite Element Method (FEM) modeling and has participated in multiple multi-project wafer (MPW) programs, utilizing EDA tools such as Cadence and Synopsys for circuit design and simulation.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Liu Wenjuan is a highly accomplished researcher in the field of electronic engineering, specifically focusing on acoustic sensors for RF and medical imaging. Her educational background includes a Ph.D. in Microelectronics and Solid-state Electronics from Fudan University, complemented by valuable international experiences in renowned institutions such as CNRS-IEMN in France and the Institute of Microelectronics in Singapore.

Education Background 🎓

  • Ph.D. in Microelectronics and Solid-state Electronics
    Fudan University, 09/2014 – 08/2020

    • Visiting Student at CNRS-IEMN-DOAE UPHF, France (10/2017 – 05/2019)
    • Intern at Institute of Microelectronics A*STAR, Singapore (06/2017 – 09/2017)
    • Visiting Student at VIRTUS, School of EEE NTU, Singapore (02/2016 – 09/2017)
  • M.S. in Integrated Circuit Engineering (Recommended)
    Tianjin University, 09/2011 – 01/2014
  • B.S. in Electronics Science and Technology
    Tianjin University, 09/2007 – 07/2011

Work Experience 💼

  • Ph.D. Researcher
    Fudan University

    • Research Focus: Fabrication of micromachined ultrasonic transducers (PMUT) for high-resolution imaging, using MEMS fabrication and integrated circuit technologies.
  • Project Leader
    Tianjin University

    • Design of Anti-attack Information Security Chip (2011.12 – 2014.1)
      • Led the project aimed at detection and defense against physical-invasive attacks. Integrated detection sensors into an independent IP core for monitoring physical environment variables.

Achievements 🏆

  • Aluminum Nitride Piezoelectric Micromachined Ultrasonic Transducer (PMUT)
    • Developed a high-frequency ultrasonic array (20-80 MHz) for imaging applications. Conducted theoretical simulations and realized designs using MEMS fabrication techniques.
  • Anti-attack Information Security Chip
    • Completed overall circuit design, layout design, and post-layout simulation. The chip was successfully taped out using SMIC 0.18µm and GF 0.18µm processes, and a patent was applied.

Awards and Honors 🎖️

  • The Excellent Graduate Student Scholarship, Fudan University (2015-2017)
  • Campus France Scholarship (2017-2019)
  • Excellent Student Cadre of Tianjin University (2012-2013, 2011-2012, 2009-2010)
  • Excellent Graduates of Tianjin University (01/2014, 06/2011)
  • Merit Student of Tianjin University (2010-2011)

Publication Top Notes:

A Near Spurious-free 6 GHz Laterally-excited Bulk Acoustic Resonator with Single-sided Wavy Electrodes

A Laterally Excited Bulk Acoustic Wave Resonator Based on LiNbO3 with Arc-Shaped Electrodes

A Sc0.096Al0.904N-Based Bimorph Piezoelectric MEMS Microphone Using 3 × 3 Circular Diaphragms

Suppression of spurious modes in lateral-excited bulk acoustic wave resonators using piston mode electrodes

Theoretical Analysis and Verification on ScAlN-Based Piezoelectric Micromachined Ultrasonic Transducers With DC Bias

A ScAlN-Based Piezoelectric MEMS Microphone With Sector-Connected Cantilevers

Francesco Mercogliano | Electromagnetic Sensing System | Best Researcher Award

Posted on by ScienceFather

Francesco Mercogliano | Electromagnetic Sensing System | Best Researcher Award

Dr. Francesco Mercogliano, University of Naples Parthenope , Italy.

Dr. Francesco Mercogliano is a dedicated PhD student in Information and Communication Technology and Engineering at the University of Naples “Parthenope,” Italy. His research focuses on developing an integrated multiplatform electromagnetic sensing system for environmental characterization. With a Master’s degree in Geology and Applied Geology and a Bachelor’s degree in Geological Sciences, Francesco has demonstrated exceptional academic prowess, achieving cum laude honors. His internships with renowned institutes, including the National Research Council and the National Institute of Geophysics and Volcanology, have further honed his skills in satellite thermal imaging and geophysical data analysis. 🌍📚💻

Publication Profile

Googlescholar

Education and Experience

  • PhD Student in Information and Communication Technology and Engineering (39th Cycle)
    University of Naples “Parthenope,” Naples, Italy (2023 – Present)

    • Research Focus: Development of an integrated multiplatform electromagnetic sensing system for environmental characterization.
  • Master’s Degree in Geology and Applied Geology (LM-74)
    University of Naples “Federico II,” Naples, Italy (2021 – 2023)

    • Grade: 110/110 cum laude
    • Thesis: Analysis of Land Surface Temperature (LST) in the Campi Flegrei caldera.
  • Bachelor’s Degree in Geological Sciences (L-34)
    University of Naples “Federico II,” Naples, Italy (2018 – 2021)

    • Grade: 110/110 cum laude
    • Thesis: Remote sensing application to detect Land Surface Temperature in volcanic regions.
  • Internships:
    • National Research Council (CNR) – Institute for Electromagnetic Sensing of the Environment (IREA) (April 2023 – June 2023)
      • Analyzed satellite thermal images for LST mapping.
    • National Institute of Geophysics and Volcanology (INGV) (May 2022 – September 2022)
      • Processed GNSS-RTK data to monitor ground deformation.
    • CNR – IREA (October 2019 – January 2020)
      • Conducted geothermal monitoring using thermal remote sensors.

Suitability For The Award

Dr. Francesco Mercogliano is an exemplary candidate for the Best Researcher Award, currently pursuing a Ph.D. in Information and Communication Technology and Engineering at the University of Naples “Parthenope.” His research focuses on developing an integrated electromagnetic sensing system for environmental characterization, showcasing his commitment to innovation. With top honors in both his Master’s and Bachelor’s degrees from the University of Naples “Federico II,” and hands-on experience at the National Research Council and the National Institute of Geophysics and Volcanology, Francesco’s academic excellence and technical skills position him as a promising researcher in environmental science.

Professional Development

Francesco Mercogliano has actively pursued professional development through hands-on internships and research projects in prestigious organizations such as the National Research Council (CNR) and the National Institute of Geophysics and Volcanology (INGV). His work includes analyzing satellite thermal images for land surface temperature mapping and monitoring ground deformation using GNSS-RTK data. Proficient in MATLAB, Python, and remote sensing techniques, Francesco combines his technical skills with a strong foundation in geology to contribute meaningfully to environmental studies. His dedication to advancing knowledge in geosciences exemplifies his commitment to professional excellence and innovation. 🌱🔍📊

Research Focus

Francesco Mercogliano’s research focuses on developing integrated electromagnetic sensing systems for environmental characterization. His work emphasizes the use of advanced remote sensing technologies to analyze land surface temperature, particularly in volcanic regions like the Campi Flegrei caldera. By employing methods such as Independent Component Analysis (ICA), Francesco aims to identify thermal anomalies that can inform geological studies and risk assessment. His interdisciplinary approach combines principles of geology, remote sensing, and data analysis, contributing significantly to environmental monitoring and understanding of geological phenomena. 🌋📈💡

Awards and Honors

  • Research Internship Recognition at the National Research Council (CNR) 🌟
  • Outstanding Contribution Award at National Institute of Geophysics and Volcanology (INGV) 🌌

Publication Top Notes

  • Thermal Patterns at the Campi Flegrei Caldera Inferred from Satellite Data and Independent Component Analysis (2024) 📡🌋
  • Remote detection of Thermal Anomalies at Campi Flegrei caldera via Independent Component Analysis (ICA) (2024) 🔍📊
  • Airborne Synthetic Aperture Radar and Electromagnetic Technologies of the Italian Earth Observation Platform ITINERIS  (2024) ✈️🛰️
  • Multiparametric and Multiplatform Detection of Ongoing Unrest Processes in Active Resurgent Calderas: A Case Study of the Campi Flegrei Caldera (2024) 🌍⚠️

Assist. Prof. Dr. Dumitru Radulescu | Machine Learning Awards | Top Researcher Award

Posted on by ScienceFather

Assist. Prof. Dr. Dumitru Radulescu | Machine Learning Awards | Top Researcher Award 

Assist. Prof. Dr. Dumitru Radulescu, University of Medicine and Pharmacy Craiova (UMF Craiova), Romania

Dumitru Rădulescu, is a distinguished medical professional and researcher specializing in surgery and medical sciences. He earned his Bachelor’s degree in Medicine from UMF Craiova in 2009, followed by a Doctor of Medical Sciences degree, which he obtained in 2020 under the auspices of the Romanian Ministry of Health. Dr. Rădulescu’s academic journey is marked by his receipt of a competitive doctoral scholarship, highlighting his commitment to advancing his expertise in the medical field. Currently serving as a Specialist Surgeon at the Military Emergency Clinical Hospital “Dr. Ştefan Odobleja” in Craiova, he has accumulated extensive clinical experience through various residency programs in family medicine and general surgery. His professional roles include positions as a University Assistant at UMF Craiova, where he contributes to the education of future healthcare professionals in surgical specialties.

Professional Profile:

ORCID

Summary of Suitability for the Top Researcher Award

Dumitru Rădulescu is an accomplished researcher and specialist surgeon whose academic and professional journey highlights his commitment to advancing medical sciences, particularly in the areas of surgery and diagnostics. His education culminated in a Doctor of Medical Sciences degree from UMF Craiova, where he also received a doctoral scholarship, showcasing his academic excellence and dedication to research.

Education 📚

  • Doctor of Medical Sciences
    University of Medicine and Pharmacy Craiova (UMF Craiova)
    2014 – 2020
  • Doctoral Scholarship
    UMF Craiova (POSDRU/187/1.5/S/156069)
    2014 – 2015
  • Bachelor’s Degree in Medicine
    UMF Craiova
    2003 – 2009
  • High School Diploma
    Balş Theoretical High School
    1999 – 2003

Professional Development 🎓

  • Specialist Surgeon
    Ministry of Health Order no. 721/04.06.2018
    2018 – Present
  • General Surgery Resident
    2012 – 2018
  • Family Medicine Resident
    2010 – 2012

Areas of Competence 💪

  • DPPD Module (2008)
  • English for Specific Purposes – Medical English B2 (2021)

Professional Experience 🏥

  • Current Position:
    University Assistant, Military Emergency Clinical Hospital “Dr. Ştefan Odobleja,” Craiova
    2022 – Present
  • Previous Positions:
    • University Assistant DRD, Department VI – Surgical Specialties (2018 – 2021)
    • General Surgery Resident, Clinic I Surgery SCJU no.1 Craiova (2013 – 2018)
    • Family Medicine Resident, Filantropia Clinical Hospital Craiova (2010 – 2012)

Research Contributions 🔬

Dr. Rădulescu is a dedicated researcher who recently received a grant for his project titled:
“Discovery and validation of a new leukocyte formula marker for predicting mortality in patients with tuberculosis and malnutrition using machine learning.” 🤖
This project highlights his commitment to leveraging modern technology in medical research to address critical health issues.

Publication Top Notes

Enhancing the Understanding of Abdominal Trauma During the COVID-19 Pandemic Through Co-Occurrence Analysis and Machine Learning

Cardiovascular and Neurological Diseases and Association with Helicobacter Pylori Infection—An Overview
Interactions between Cognitive, Affective, and Respiratory Profiles in Chronic Respiratory Disorders: A Cluster Analysis Approach
Oxidative Stress in Military Missions—Impact and Management Strategies: A Narrative
Analysis
The Impact of the COVID-19 Pandemic on Outcomes in Acute Pancreatitis: A Propensity Score Matched Study Comparing before and during the Pandemic

 

 

Prof. Hamed Dalir | Nano Sensors Awards | Best Researcher Award

Posted on by ScienceFather

Prof. Hamed Dalir | Nano Sensors Awards | Best Researcher Award

Prof. Hamed Dalir, University of Florida, United States

Hamed Dalir, Ph.D. is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Florida, where he also serves as the Director of the CHIP Lab. With a strong background in electronics and applied physics, Dr. Dalir specializes in quantum devices, novel semiconductor technologies, and the integration of AI and machine learning systems. He has received numerous accolades throughout his career, including the AFWERX Commercialization Solution Award (2022) and the Young Scientist Award from the Japan Society for the Promotion of Science

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award: Hamed Dalir, Ph.D.

Candidate Overview
Dr. Hamed Dalir is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Florida and the Director of the CHIP Lab. With a robust academic background and extensive research experience, Dr. Dalir has established himself as a leader in the fields of electronics, photonics, and quantum technology.

Education 🎓

  • Postdoctoral Fellow in Quantum Computing
    NSF Nano-scale Science and Engineering Center, University of California, Berkeley, CA, USA
    01/2015 – 01/2017
    NSF Fellowship: $92,500
  • Postdoctoral Fellow in Electronics & Applied Physics
    Future Interdisciplinary Research of Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
    04/2014 – 01/2015

    • Winner of Global Center of Excellence (GCOE): ¥1,200,000
    • Fellow of JSPS (Japan’s NSF): ¥13,000,000
  • Doctor of Philosophy (Ph.D.) in Electronics & Applied Physics
    Micro/Nanotechnology Center, Tokyo Institute of Technology, Tokyo, Japan
    08/2011 – 04/2014
  • Master of Engineering in Electronics & Applied Physics
    Micro/Nanotechnology Center, Tokyo Institute of Technology, Tokyo, Japan
    09/2009 – 08/2011
  • International Study Experience
    • ECE Institute of Studies Scientifiques, France (Summer 2012)
    • ECE Stanford University, USA (Summer 2013)
    • ECE Würzburg University, Germany (Summer 2011)
    • ECE St. Petersburg University, Russia (Summer 2011)

Work Experience 💼

  • Associate Professor
    Department of Electrical and Computer Engineering, University of Florida
    06/2023 – Present

    • Deputy Director of Florida Semiconductor Institute
  • Founder, Qbyte LLC
    01/2024 – Present
  • Associate Professor
    Department of Electrical and Computer Engineering, The George Washington University
    01/2021 – 08/2023

    • Founder & CEO, Optelligence LLC (01/2021 – 05/2023)
  • Associate Editor
    • EPJ Quantum Technology | Nature Springer (01/2023 – Present)
    • Frontiers in Electronics | Flexible Electronics (01/2021 – Present)
  • AR/VR Program Manager
    OSRAM, Minneapolis, MN, USA
    10/2020 – 01/2021
  • Principal Investigator, Chief Scientist
    UT Austin’s Spin-off, Austin, TX, USA
    07/2018 – 09/2020
  • Senior Research Scientist
    11/2016 – 06/2018
  • RF Senior Researcher
    Berkeley Wireless Research Center (BWRC), Berkeley, CA, USA
    02/2015 – 10/2016
  • Visiting Researcher
    Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA, USA
    02/2015 – 09/2016
  • Principal Investigator
    Japan Society for the Promotion of Science, Tokyo, Japan
    10/2009 – 01/2015

Achievements & Awards 🏆

  • 2022: AFWERX Commercialization Solution Award
  • 2021: AFOSR Research Grant
  • 2014: Young Scientist Award from the Japan Society for the Promotion of Science
  • 2013: Inventor of a novel semiconductor laser (in commercialization stage with Fuji Xerox)
  • 2012: Golden Award from the Global Center of Excellence (GCOE)
  • 2009: Yoshida Foundation Award for Development of Future Leaders for Changing Times

Publication Top Notes:

Athermal broadband graphene optical modulator with 35 GHz speed

CITED:224

Massively parallel amplitude-only Fourier neural network

CITED:196

29 GHz directly modulated 980 nm vertical-cavity surface emitting lasers with bow-tie shape transverse coupled cavity

CITED:164

Electronic-photonic arithmetic logic unit for high-speed computing

CITED:139

Sub-wavelength GHz-fast broadband ITO Mach–Zehnder modulator on silicon photonics

CITED:127

0.52 V mm ITO-based Mach-Zehnder modulator in silicon photonics

CITED:127

 

Dr. Thierry Boileau | System Surveillance Awards | Best Scholar Award

Posted on by ScienceFather

Dr. Thierry Boileau | System Surveillance Awards | Best Scholar Award

Dr. Thierry Boileau, University of Lorraine, France

Thierry Boileau is an Assistant Professor at the University of Lorraine in France, specifically within the École Nationale Supérieure d’Électricité et de Mécanique (ENSEM) and the Laboratoire d’Énergétique et de Mécanique Théorique et Appliquée (LEMTA). He earned his Ph.D. in Electrical Engineering from INPL Nancy in 2010, with a dissertation focused on the continuity of service for synchronous actuators with permanent magnets, addressing mechanical sensor faults and electrical defect detection. He also holds a Master’s degree in Electrical Engineering from Nancy University and a prestigious French teaching degree, Agrégation de Sciences Physiques.

Professional Profile:

ORCID

Summary of Suitability for Best Scholar Award: Thierry Boileau

Thierry Boileau demonstrates outstanding qualifications for the Best Scholar Award based on his exceptional academic and research achievements in electrical engineering. Below is a detailed evaluation of his suitability

🎓 Academic Education:

  • Ph.D. in Electrical Engineering (2010, INPL Nancy, France)
    • Thesis Title: “Contribution to the Service Continuity of Synchronous Actuators with Permanent Magnets: Tolerance to Mechanical Sensor Failure and Electrical Fault Detection”
  • Master’s Degree in Electrical Engineering (2004, Nancy University, France)
  • French Teaching Degree (Agrégation de Sciences Physiques, 1999)

📚 Background and Achievements:

  • Publications:
    • 19 journal papers (mainly in IEEE Transactions)
    • 20 international conference papers
  • Research Impact:
    • H-index: 15 (as of November 2023, source: Scopus)
    • Citations: 1,337 (as of November 2024, source: Google Scholar)

👨‍🎓 Research Supervision:

  • Master’s Degree Students: 2
  • Ph.D. Students: 7 (3 defended theses and 4 ongoing)

🤝 Industrial Partnerships:

  • Collaborations with 5 industrial partners (including SAFRAN, EADS, SEW, CNC-SNR, etc.)
  • 4 industrial contract reports

🔬 Research Activities:

Thierry’s primary research interests include:

  • Diagnostics and Control of Electrical Machines supplied by static converters.
  • Energy Carrier Management and microgrid technologies.

Publication Top Notes:

Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health Monitoring

Comparison of high frequency winding modeling for stator health monitoring

Optimal performance identification of a combined free piston Stirling engine with a permanent magnet linear synchronous machine using dedicated controls

PMASynRM Local Demagnetization Fault Behavior Study Under Targeted Harmonic Excitation

A New Coupled Approach for Enthalpy Pumping Consideration in a Free Piston Stirling Engine (FPSE)

Introducing a New System for Energy Recovery of High and Mid-Temperature Renewable Energy Sources: Free Piston Stirling Engine Combined with a Permanent Magnet Linear Synchronous Machine

 

 

 

 

Dr.Reza Askari Moghadam | Bio Sensor Awards | Best Researcher Award

Posted on by ScienceFather

Dr.Reza Askari Moghadam | Bio Sensor Awards | Best Researcher Award-5093

Dr.Reza Askari Moghadam, Sorbonne Université, France

Reza Askari Moghadam is a distinguished academic and researcher currently serving as a Lecturer at Sorbonne Université in Paris, France, specializing in electronics and mechatronics. He holds a Ph.D. in Electronics from the Islamic Azad University (IUST), where he conducted innovative research on intelligent fault detection in RF MEMS, funded by the Iranian Telecommunications Research Center. With over a decade of experience as a Tenured Lecturer at the University of Tehran, Reza has significantly contributed to the fields of sensors, actuators, microfluidics, and artificial intelligence. His extensive teaching background encompasses more than 4,600 hours of instruction across various degree programs, from bachelor’s to doctoral levels. Reza’s research output includes 58 articles in international journals and 59 conference papers, highlighting his active engagement in advancing knowledge in his field. He has also participated in multiple collaborations and projects in Europe, further enriching his academic portfolio. In addition to his research and teaching, he possesses a robust skill set in various software tools, including Python, MATLAB, and COMSOL, which support his ongoing contributions to engineering and technology.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: 

Reza Askari Moghadam is an accomplished academic and researcher in the field of Electronics and Engineering, with a solid track record of teaching, research, and publication. His diverse experiences, educational background, and substantial contributions to the field make him a strong candidate for the Best Researcher Award.

Education

  1. Ph.D. in Electronics
    • Institution: Islamic Azad University (IUST), Tehran, Iran
    • Years: 2001 – 2007
    • Thesis: “Intelligent Detection of Faults in RF MEMS”
    • Funding: Iranian Telecommunications Research Center (ITRC)
  2. Master’s Degree in Electrical Engineering (Specialization: Control)
    • Institution: Islamic Azad University (IUST), Tehran, Iran
    • Years: 1998 – 2001
    • Thesis: “Design, Implementation, and Control of a Robotic Arm”
    • Funding: Electronics Research Center, IUST
  3. Bachelor’s Degree in Electrical Engineering (Specialization: Electronics)
    • Institution: University of Petroleum Industry, Iran
    • Years: 1993 – 1998
    • Thesis: “Design and Implementation of an EEPROM Programmer”

Professional Experience

  1. Lecturer
    • Institution: Campus Pierre et Marie Curie, Sorbonne Université, Paris, France
    • Years: Sep. 2023 – Present
  2. Temporary Teaching and Research Attaché (ATER)
    • Institution: Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), UPEC, France
    • Years: Jan. 2022 – Sep. 2023
    • Notes: Contract renewed in September 2022
  3. Tenured Lecturer
    • Institution: Department of “Mechatronics & MEMS”, Faculty of New Sciences and Technologies, University of Tehran (UT), Iran
    • Years: Sep. 2012 – Jan. 2022

Research Activities

  • Collaborated with LISSI Laboratory, UPEC, France since 2016.
  • Visiting Researcher at Nano Center, University of Southampton, UK (2010, three months).
  • Attended Synchrotron Summer School at Daresbury Synchrotron Laboratory, UK (2004, one month).

Publication top Notes:

Simplified U-Net as a deep learning intelligent medical assistive tool in glaucoma detection

High speed universal NAND gate based on weakly coupled RF MEMS resonators

Microfluidics chip inspired by fish gills for blood cells and serum separation

Theoretical and experimental evaluation of small flow rate ultrasonic flowmeter

Design optimization of a heat-to-cool Stirling cycle using artificial neural network

A novel Gamma-type duplex Stirling system to convert heat energy to cooling power: Theoretical and experimental study

Gabriel Danciu | Intelligent sensing | Excellence in Research

Posted on by ScienceFather

Mr. Gabriel Danciu | Intelligent sensing | Excellence in Research

Lecturer at Transilvania University, Romania

Danciu Gabriel is a prominent researcher and educator from Romania, specializing in electrical engineering and computer science. Currently serving as a Şef lucrări at the University of Transilvania in Brașov, he combines his academic role with practical experience as an engineer and manager at Siemens. With a robust publication record exceeding 50 papers, Gabriel is recognized for his contributions to artificial intelligence, image processing, and software architecture. He is an active member of the IEEE and has presented at numerous international conferences. His commitment to education is reflected in his mentoring roles and project coordination, making him a vital part of the academic community. Gabriel’s expertise in developing algorithms for RGB-D cameras and his innovative research approaches have earned him respect in the field. He aims to bridge theoretical knowledge with practical applications, enhancing technological advancements and shaping the next generation of engineers.

Profile:

Google Scholar Profile

Strengths for the Award:

  1. Extensive Experience: Gabriel has over 15 years of experience in academia and industry, demonstrating a strong commitment to both education and research.
  2. Publication Record: With over 50 published works, he shows a robust contribution to fields such as AI, image processing, and software architectures, indicating high productivity and impact in his research area.
  3. Diverse Skill Set: His competencies in various programming languages (C++, C#, Python) and expertise in software architecture showcase his technical proficiency, which is critical for modern research.
  4. Leadership Roles: As a Şef lucrări (Head of Department) and an engineer at Siemens, he has proven leadership capabilities, indicating his ability to manage projects and mentor others effectively.
  5. International Engagement: Participation in over 5 European projects and presentations at numerous conferences reflects his active engagement with the global research community.
  6. Research Innovation: His focus on cutting-edge topics like AI and image processing highlights his relevance and adaptability to current technological trends.

Areas for Improvement:

  1. Language Proficiency: While he is proficient in English, improving his German skills could enhance his collaboration opportunities in Europe, particularly in multilingual environments.
  2. Broader Collaboration: Expanding his research network beyond existing affiliations could lead to more interdisciplinary projects and greater innovation.
  3. Public Engagement: Increasing visibility through popular science publications or community outreach could enhance his impact beyond the academic sphere.
  4. Mentoring: Actively seeking to mentor younger researchers or students could foster new talent in the field and enhance his leadership profile.

Education:

Danciu Gabriel pursued his academic journey at the University of Transilvania in Brașov, where he obtained his Bachelor’s degree in Automatică și Informatică Industrială in 2004. He continued his studies at the same institution, completing a Master’s degree in Electrical Engineering and Telecommunications in 2006. Gabriel then earned his Ph.D. in 2014, focusing on developing algorithms for image processing using RGB-D cameras. His educational background laid a solid foundation for his future roles in academia and industry. As an Asistent universitar from 2007 to 2022, he dedicated himself to teaching and research, culminating in his current position as Șef lucrări, where he engages in educational leadership, research activities, and administrative duties. Gabriel’s academic achievements are complemented by ongoing professional development, ensuring that he stays at the forefront of technological advancements and educational methodologies in his field.

Experience:

Danciu Gabriel boasts extensive professional experience spanning over 15 years in both academia and industry. He began his career as a Software Engineer at Dynamic Ventures from 2005 to 2017, where he focused on research, mentorship, and software development. In 2018, he transitioned to Siemens as an Engineer, Researcher, and Manager, where he continues to work on innovative research projects while mentoring emerging talent. Concurrently, he has held various academic positions at the University of Transilvania, serving as an Asistent universitar for 15 years before advancing to Şef lucrări in 2022. His dual role allows him to integrate theoretical knowledge with practical applications, contributing to the growth of his students and the advancement of technology. Gabriel’s experience is characterized by a commitment to education, research innovation, and leadership, positioning him as a key figure in the fields of electrical engineering and computer science.

Research Focus:

Danciu Gabriel’s research primarily revolves around artificial intelligence, image processing, and software architecture, with a specific emphasis on RGB-D cameras. His work in developing innovative algorithms for depth image analysis has significantly contributed to advancements in computer vision and signal processing. Gabriel has published over 50 papers in renowned journals and conferences, exploring various topics, including noise pollution monitoring, functional verification in digital designs, and object tracking methods. He actively participates in European projects, collaborating with interdisciplinary teams to address real-world challenges through technology. Gabriel is passionate about integrating theoretical concepts with practical applications, aiming to improve the efficiency and accuracy of image processing techniques. His ongoing research endeavors focus on enhancing machine learning models and exploring new avenues in automated systems, positioning him at the cutting edge of technological innovation in the fields of engineering and computer science.

Publication Top Notes:

  • Shadow removal in depth images morphology-based for Kinect cameras 🌌
  • Objective erythema assessment of Psoriasis lesions for PASI evaluation 🌿
  • A novel approach for face expressions recognition 😊
  • Improved contours for ToF cameras based on vicinity logic operations 🖼️
  • Cost-efficient approaches for fulfillment of functional coverage during verification of digital designs 💻
  • Coverage fulfillment automation in hardware functional verification using genetic algorithms 🔍
  • Extended control-value emotional agent based on fuzzy logic approach 🤖
  • Scale and rotation-invariant feature extraction for color images of iris melanoma 🌈
  • Level up in verification: Learning from functional snapshots 📊
  • Noise pollution monitoring using mobile crowd sensing and SAP analytics 📱
  • Debugging FPGA projects using artificial intelligence 🧩
  • Debug FPGA projects using machine learning 📈
  • Efficient analysis of digital systems’ supplied data ⚙️
  • Method proposal for blob separation in segmented images 🔍
  • Solutions for Roaming and Interoperability Problems Between LTE and 2G or 3G Networks 📶
  • Methods of Object Tracking 🕵️‍♂️
  • Adaptive Scaling for Image Sensors in Embedded Security Applications 🔒
  • A method proposal of scene recognition for RGB-D cameras 🌍
  • Genetic algorithm for depth images in RGB-D cameras 🔧
  • Hierarchical contours based on depth images 🗺️

Conclusion:

Gabriel Danciu demonstrates a strong profile as a candidate for the Best Researcher Award, with a solid foundation in research, a wealth of experience, and a proven track record of publications and collaborations. By addressing the suggested areas for improvement, particularly in broader engagement and mentorship, he could further strengthen his candidacy and impact in the research community.