Carlos Frajuca | Electromechanical Sensors | Research Excellence Award

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Prof. Dr. Carlos Frajuca | Electromechanical Sensors | Research Excellence Award

FURG | Brazil

Prof. Dr. Carlos Frajuca is an established physicist with extensive expertise in gravitational wave detection, astrophysics, and applied mechanical systems, alongside contributions to fluid dynamics and electromechanical energy systems. He holds a PhD in Physics from the University of São Paulo in collaboration with Louisiana State University and has completed postdoctoral research at the University of Western Australia. With over 100 peer-reviewed journal articles, more than 2,200 citations, and a Google Scholar h-index of 34, his work has significantly advanced the design and optimization of resonant detectors, including contributions to the Brazilian Mario Schenberg gravitational wave detector. Professor Frajuca has led and contributed to interdisciplinary collaborations spanning physics, engineering, and materials science, and currently holds a CNPq Productivity Fellowship. Beyond research, he has played a key role in developing postgraduate engineering programs and supervising numerous graduate students, contributing to scientific capacity building and technological innovation in Brazil and internationally.

Citation Metrics (Scopus)

1000
750
100
50

Citations
1,008

h-index
22

Documents
99

Citations

h-index

Documents

Featured Publications

Johnson, W.W., Merkowitz, S.M. (1993).
Truncated icosahedral gravitational wave antenna.
Physical Review Letters · Journal Article · 📊 Citations: 294

Aguiar, O.D. (2011).
Past, present and future of the Resonant-Mass gravitational wave detectors.
Research in Astronomy and Astrophysics · Journal Article · 📊 Citations: 155

Gao, Z.F. et al. (2017).
The dipole magnetic field and spin-down evolutions of the high braking index pulsar PSR J1640–4631.
The Astrophysical Journal · Journal Article · 📊 Citations: 114

Magalhães, N.S., Johnson, W.W., Frajuca, C., Aguiar, O.D. (1995).
Determination of astrophysical parameters from spherical gravitational wave detector data.
Monthly Notices of the Royal Astronomical Society · Journal Article · 📊 Citations: 94

Wan, T., Tang, S.L., Qian, Y.B. (2025).
Investigation of cluster states around 20Ne including spin-orbit coupling and its extension to heavier nuclei.
Chinese Physics C · Journal Article · 📊 Citations: 89

Dr. Naser Alsaleh | Industrial Sensors | Best Industrial Research Award

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Dr. Naser Alsaleh | Industrial Sensors | Best Industrial Research Award 

Dr. Naser Alsaleh | Industrial Sensors | Imam Mohammad Ibn Saud Islamic University | Saudi Arabia

Dr. Naser Alsaleh is a highly accomplished industrial and manufacturing engineering scholar with a distinguished academic and professional background spanning research, leadership, and innovation. He earned his Ph.D. in Industrial and Systems Engineering from the University of Minnesota-Twin Cities, where he also completed his Master’s in Industrial and Systems Engineering, following a Bachelor’s degree in Industrial Engineering from King Saud University. With a career rooted in both academia and applied engineering, Dr. Alsaleh currently serves as the Head of the Industrial Engineering Department at the College of Engineering, Imam Muhammad Ibn Saud Islamic University, Saudi Arabia. His professional trajectory includes serving as Vice Dean for Graduate Studies and Scientific Research, Vice Dean for Quality and Development, and Dean of Riyadh College of Technology, demonstrating his consistent leadership in academic management and research excellence. His research interests encompass manufacturing engineering, sustainable production systems, welding and joining technologies, additive manufacturing, supply chain optimization, and sensing technologies for industrial automation. A prolific researcher, Dr. Alsaleh has published over 50 peer-reviewed articles indexed in Scopus and Web of Science, accumulating more than 1,200 citations with an h-index of 20. His works frequently appear in reputable journals such as Journal of Cleaner Production, Annals of Operations Research, Crystals, Aerospace, and Engineering Failure Analysis, reflecting his global impact in sustainable and data-driven manufacturing.

Professional Profile: ORCID | Scopus | Google Scholar

Selected Publications 

  1. Alsaleh, N., Li, Y., Palaniappan, M., Kumar, D. T., & Elfar, A. A. (2025). Decision analysis on sustainable manufacturing practices: cross country perspective. Annals of Operations Research.

  2. Ragab, M., Alsaleh, N., El-Sayed Seleman, M. M., Ahmed, M. M. Z., & Ataya, S. (2025). Weld Power, Heat Generation and Microstructure in FSW and SFSW of 11Cr-1.6W-1.6Ni Martensitic Stainless Steel: The Impact of Tool Rotation Rate. Crystals.

  3. Paul, S., Haldar, B., Joardar, H., Mondal, N., & Alsaleh, N. (2025). Single-Step Drilling Using Novel Modified Drill Bits Under Dry, Water, and Kerosene Conditions and Optimization of Process Parameters via MOGA-ANN and RSM. Lubricants.

  4. Xu, S., Alsaleh, N., Kumar, D. T., Palaniappan, M., & Elfar, A. A. (2024). Enabling customer participation for the implementation of sustainable manufacturing. Journal of Cleaner Production.

  5. Thomas, J., Alsaleh, N. A., Ahmadein, M., Elfar, A. A., & Essa, K. (2024). Graded cellular structures for enhanced performance of additively manufactured orthopaedic implants. The International Journal of Advanced Manufacturing Technology.

Prof. Dr. Lorena Barona López | Sensors | Best Researcher Award

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Prof. Dr. Lorena Barona López | Sensors | Best Researcher Award 

Prof. Dr. Lorena Barona López, EPN, Ecuador 

Lorena Isabel Barona López is a researcher and professor specializing in computer science and telecommunications, currently affiliated with the Escuela Politécnica Nacional in Quito, Ecuador. She holds a Ph.D. in Computer Science from the Universidad Complutense de Madrid, Spain, where she developed a situational awareness model for 5G mobile networks within the SELFNET architecture. Her academic background also includes a Master’s in Telematic Services and Networking Engineering from Universidad Politécnica de Madrid and a Bachelor’s degree in Electronic and Information Network Engineering from Escuela Politécnica Nacional. Dr. Barona’s research interests encompass 5G networks, software-defined networking (SDN), virtualization, and data analysis. She is an accredited Level 1 researcher by the Ecuadorian Secretariat for Higher Education, Science, and Technology and a member of various international research networks, including Ciencia Digital and Indra Digital Lab. With extensive teaching experience at both national and international universities, she has lectured in areas such as cybersecurity, network security, embedded systems, and system architecture. Dr. Barona also serves as the Executive Editor of the Ciencia Digital journal and has professional experience in systems administration and IT support. She is proficient in both Spanish and English and actively pursues professional development in artificial intelligence, machine learning, programming, and digital pedagogy.

Professional Profile:

GOOGLE SCHOLAR

ORCID

Summary of Suitability for Best Researcher Award

Dr. Lorena Isabel Barona López is a distinguished academic and researcher in the fields of Computer Science, 5G networks, Data Analysis, Software-Defined Networks (SDN), and Virtualization. Her extensive research background, innovative contributions to next-generation networking technologies, and commitment to both education and scientific advancement make her an exceptionally qualified candidate for the Best Researcher Award.

👩‍🎓 Education

  • 🎓 Ph.D. in Computer Science
    Universidad Complutense de Madrid, Spain
    (Nov 2013 – Sep 2017)
    📘 Thesis: Modelo de Conciencia Situacional para el Análisis de Datos en Redes Móviles 5G
    🔍 Research Areas: 5G, Data Analysis, SDN, Virtualization

  • 🎓 Master’s in Telematic Services & Networking Engineering
    Universidad Politécnica de Madrid, Spain
    (Sep 2012 – Jul 2013)
    📘 Thesis: Propuesta de Escenarios Virtuales con la Herramienta VNX para Pruebas del Protocolo OpenFlow
    🔍 Focus: OpenFlow, Networks, SDN, Virtualization

  • 🎓 Bachelor’s in Electronic and Information Network Engineering
    Escuela Politécnica Nacional, Ecuador
    (Oct 2004 – Oct 2010)
    📘 Project: IP-based Surveillance System for Condominiums in Ambato
    🔍 Focus: IP, Networks

💼 Work & Teaching Experience

  • 🧠 Researcher, GASS Group
    Universidad Complutense de Madrid
    (Nov 2013 – Jul 2017)
    🧪 Focus on cybersecurity, 5G, and data analysis.

  • 📝 Executive Editor, Ciencia Digital Journal
    (Sep 2017 – Present)

  • 👩‍🏫 Teaching Roles (2011–2025):
    Courses in:

    • Communication Systems, Embedded Systems, Cybersecurity 🔐

    • Network Security, Software Engineering 💻

    • Extended Databases, Operating Systems 🖥️

    • MOOCs and online teaching platforms 🎓

    📍 Institutions:

    • Escuela Politécnica Nacional

    • Universidad Internacional de la Rioja (Spain)

    • Universidad Técnica de Ambato

    • Universidad Metropolitana

    • Universidad de las Américas

  • 🖥️ System Administrator, COMDECSA
    (May 2011 – Sep 2012)

  • 🧪 Lab Assistant, Escuela Politécnica Nacional
    (Sep 2009 – Aug 2010)

🏅 Achievements, Accreditations, and Honors

  • 🥇 Aggregated Researcher Level 1, Ecuador’s Secretaría de Educación Superior, Ciencia y Tecnología (2018)

  • 🌐 Member of:

    • Ciencia Digital Network (2019)

    • International Network Indra Digital Lab, Spain

  • 📜 Extensive professional certifications in:

    • AI & Machine Learning 🤖

    • ICT in Education 💡

    • Cloud Dashboards ☁️

    • Programming (Python 🐍, Java ☕, R 📊)

    • Educational tools and Moodle platforms 🎓

  • 🎖️ Expert in Pedagogical Innovation: flipped classrooms, digital teaching tools, and virtual course design.

Publication Top Notes:

A Systematic Literature Review of Machine Unlearning Techniques in Neural Networks

Heterogeneity Challenges of Federated Learning for Future Wireless Communication Networks

A comparison of EMG-based hand gesture recognition systems based on supervised and reinforcement learning

Recognition of Hand Gestures Based on EMG Signals with Deep and Double-Deep Q-Networks

Hand Gesture and Arm Movement Recognition for Multimodal Control of a 3-DOF Helicopter

Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks

A Hand Gesture Recognition System Using EMG and Reinforcement Learning: A Q-Learning Approach

Assoc Prof Dr. Shujie Wang | Sensors Award | Best Researcher Award

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Assoc Prof Dr. Shujie Wang | Sensors Award | Best Researcher Award

Assoc Prof Dr. Shujie Wang, Chinese Academy of Agricultural Sciences, China 

Shujie Wang is a dedicated researcher at the Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences. He received his Ph.D. in Animal Medicine from Northeast Agricultural University in 2013, having previously earned his Master’s and Bachelor’s degrees in the same field from the same institution. Since 2017, he has been working as an Assistant and Associate Researcher in the Innovation Team for Research on Swine Immunosuppressive Diseases. His work focuses on the clinical immunology of swine diseases, including the pathological effects of Streptococcus suis infection, and he plays a key role in developing diagnostic products for diseases such as PRRSV, ASF, and SVV. His previous experience includes postdoctoral research at the University of Montreal and years of work on animal pathogen monitoring.

Professional Profile:

Summary of Suitability for Best Researcher Award

Shujie Wang is a highly qualified researcher at the Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences. With a strong academic foundation including a Ph.D. in Animal Medicine, he has focused his research on swine immunosuppressive diseases and the development of diagnostic products. His extensive work experience spans various roles in the field of veterinary science, from intern researcher to assistant and associate researcher, highlighting a solid progression and deepening expertise.

Education:

  • Ph.D. in Animal Medicine
    Northeast Agricultural University, 2010/09 – 2013/06
    Supervisor: Prof. Zhang Xiuying
  • Master’s in Animal Medicine
    Northeast Agricultural University, 2001/09 – 2004/06
    Supervisor: Prof. Zhang Xiuying
  • Bachelor’s in Animal Medicine
    Northeast Agricultural University, awarded June 2001
    1997/09 – 2001/06

Work Experience:

  • 2017/03 – Present: Assistant Researcher, Associate Researcher
    Innovation Team for Research on Swine Immunosuppressive Diseases, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences
  • 2016/03 – 2017/03: Postdoctoral Fellow
    International Reference Laboratory for Swine Streptococcus, Faculty of Veterinary Medicine, University of Montreal, Canada
    Supervisor: Prof. Dr. Mariela Segura
  • 2008/01 – 2016/03: Assistant Researcher
    Animal Pathogen Monitoring and Epidemiology Research Team, Harbin Veterinary Research Institute
  • 2005/08 – 2007/12: Intern Researcher
    Comprehensive Prevention and Control Project Group for Swine Diseases, Harbin Veterinary Research Institute
  • 2004/07 – 2005/07: Intern Researcher
    Zoonosis Project Group, Harbin Veterinary Research Institute

Publication top Notes:

Lipid A-modified Escherichia coli can produce porcine parvovirus virus-like particles with high immunogenicity and minimal endotoxin activity

MARCH8 inhibits pseudorabies virus replication by trapping the viral cell-to-cell fusion complex in the trans-Golgi network

Immortalization of Mesenchymal Stem Cell Lines from Sheep Umbilical Cord Tissue

Inflammation plays a critical role in damage to the bronchiolar epithelium induced by Trueperella pyogenes in vitro and in vivo

Immunogenicity Characterization of the Recombinant gI Protein Fragment from Pseudorabies Virus and an Evaluation of Its Diagnostic Use in Pigs

Genetic and In Vitro Characteristics of a Porcine Circovirus Type 3 Isolate from Northeast China

Dr. DAVIDE BRIVIO | Electronic Sensors | Best Researcher Award

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Dr. DAVIDE BRIVIO | Electronic Sensors | Best Researcher Award 

Dr. DAVIDE BRIVIO, BWH, United States

Dr. Davide Brivio is an accomplished physicist specializing in radiation oncology physics. Born in Carate Brianza (MB), Italy, he embarked on his academic journey at the Università degli Studi di Milano (University of Milan), where he earned his B.Sc. in Physics in 2006, followed by an M.Sc. in Physics in 2008 under the guidance of advisors Nicola Piovella and Robin Kaiser. He further advanced his expertise by obtaining a Ph.D. in Physics in 2012, mentored by Dr. Cialdi Simone. After completing his Ph.D., Dr. Brivio pursued postdoctoral training at Brigham and Women’s Hospital, Harvard Medical School, where he served as a Post-Doctoral Fellow in Radiation Oncology Physics from 2013 to 2019 under the supervision of Dr. Piotr Zygmanski. His dedication to the field led him to complete a Medical Physics Residency in Radiation Oncology Physics from 2019 to 2022, directed by Dr. Yulia Lyatskaya, with Dr. Zygmanski as his research advisor.

 

Professional Profile:

 

Summary of Suitability for Best Researcher Award

Davide Brivio has an extensive and impressive academic and professional background, which makes him a strong candidate for the Best Researcher Award at the Faculty of Medicine of Harvard University. Below are the key points that highlight his qualifications:

Education:

  • 2006: B.Sc. Physics, Università degli Studi di Milano (University of Milan), Milan (MI), Italy
  • 2008: M.Sc. Physics (Advisors: Nicola Piovella, Robin Kaiser), Università degli Studi di Milano (University of Milan), Milan (MI), Italy
  • 2012: Ph.D. Physics (Advisor: Dr. Cialdi Simone), Università degli Studi di Milano (University of Milan), Milan (MI), Italy

Postdoctoral Training:

  • 2013-2019: Post-Doctoral Fellow in Radiation Oncology Physics (Advisor: Dr. Piotr Zygmanski), Brigham and Women’s Hospital, Harvard Medical School
  • 2019-2022: Medical Physics Resident in Radiation Oncology Physics (Director: Dr. Yulia Lyatskaya, Research Advisor: Dr. Piotr Zygmanski), Harvard Medical School, Boston, MA

Faculty Academic Appointments:

  • 07/2022-present: Instructor in Radiation Oncology (Physics), Harvard Medical School

Appointments at Hospitals/Affiliated Institutions:

  • 07/2022-present: Clinical Physicist in Radiation Oncology (Physics), Brigham and Women’s Hospital, Boston, MA

Major Administrative Leadership Positions:

  • 2021-2022: Senior Resident, Medical Physics Residency (year-round), Harvard Medical School

Committee Service:

  • National:
    • 2022-present: Invited Abstract Evaluation Committee for AAPM Annual Meeting, American Association of Physicists in Medicine
    • 2023-present: Physics PhD Steering Committee, Università degli Studi di Milano, Italy (Milan University)
  • Local:
    • 2024: MGB Technology Evaluation Committee, MGB
    • 2024: Master Thesis Committee, UML

Professional Societies:

  • 2015-present: Member, American Association of Physicists in Medicine
  • 2015-present: Member, New England Chapter of the American Association of Physicists in Medicine
  • 2019-2023: Member, Radiological Society of North America (RSNA)
  • 2023-present: Member, American Brachytherapy Society (ABS)

Editorial Activities:

  • Ad hoc Reviewer for:
    • Medical Physics
    • Physics in Medicine and Biology
    • International Journal of Radiation OncologyBiologyPhysics
    • Physica Medica
    • Radiation Research

Publication top Notes:

Remote sensing of high energy particle currents (HEC): towards HEC radiography

X-ray Induced Electric Currents in Anodized Ta2O5: Towards a Large-Area Thin-Film Sensor

Radioactive source localization employing resistive electrode array (REA) detector

Resistive electrode array (REA) for radiotherapy beam monitoring and quality assurance

Remote sensing array (RSA) for linac beam monitoring

Gold nanoparticle detection and quantification in therapeutic MV beams via pair production