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

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

Prof. Xiaoji Niu | Sensor Fusion Awards | Best Researcher Award

Prof. Xiaoji Niu | Sensor Fusion Awards | Best Researcher Award 

Prof. Xiaoji Niu, Wuhan University, China

Dr. Xiaoji Niu is a distinguished professor at the GNSS Research Center of Wuhan University, where he has been leading a team of approximately 20 researchers since March 2010. His expertise lies in integrated navigation systems, particularly in the integration of Inertial Navigation Systems (INS) with Global Navigation Satellite Systems (GNSS). Dr. Niu has been pivotal in advancing deep integration technology for high-precision GNSS/INS systems, aimed at enhancing Position and Orientation Systems (POS) for mobile mapping applications. Prior to his current role, he served as a senior scientist at Shanghai SiRF Technology Co., Ltd., where he spearheaded research and development on dead-reckoning technology and played a key role in the production release of inertial-aided GPS firmware. Dr. Niu’s academic foundation includes a Ph.D. in Navigation and Control from Tsinghua University, where he focused on micromachined attitude measurement units for satellite TV antenna stabilization, and a B.Sc. with honors in Mechanical Engineering. His contributions to the field are recognized internationally, underscoring his commitment to advancing navigation technologies.

Professional Profile:

SCOPUS

Research for Best Researcher Award: 

Professor Xiaoji Niu, currently at the GNSS Research Center of Wuhan University, is a highly accomplished researcher with a notable record in navigation and integrated systems. His extensive experience and impressive contributions to the field make him a strong candidate for the Best Researcher Award.

Education

  • Ph.D. in Navigation and Control
    Institution: Tsinghua University, China
    Department: Department of Precision Instruments
    Duration: Sep 1997 – Dec 2002
    Dissertation: “Micromachined Attitude Measurement Unit with Application in Satellite TV Antenna Stabilization”
    Supervisor: Prof. Zhongyu Gao
  • B.Sc. (with Honors)
    Institution: Tsinghua University, China
    Departments:

    • Department of Precision Instruments (Mechanical Engineering, Major)
    • Department of Automation (Electrical Engineering, Minor)
      Duration: Sep 1992 – Jul 1997

Work Experience

  • Professor
    Institution: GNSS Research Center, Wuhan University
    Duration: Mar 2010 – Present
    Responsibilities:

    • Leading a team of approximately 20 researchers, including 2 postdoctoral researchers.
    • Research on Integrated Navigation Systems (INS and GNSS/INS integration).
    • Deep integration technology for GNSS/INS.
    • Commercializing high-precision GNSS/INS integration techniques for Position and Orientation Systems (POS) for Mobile Mapping Systems (MMS).
    • Developing compact and low-cost MEMS INS for land vehicles and UAV applications.
  • Senior Scientist
    Institution: Shanghai SiRF Technology Co., Ltd
    Department: Advanced Technologies Dept.
    Duration: Feb 2007 – Feb 2010
    Responsibilities:

    • Leading R&D on Dead-Reckoning (DR) technology, including inertial-aided GPS.
    • Technical lead for DR production projects.
    • Started production release of DR firmware in Q2 2008; released to three customers with shipments of over 500k chips, leading to product shipments by two customers.
  • Research Scientist
    Institution: The University of Calgary, Canada
    Department: Mobile Multi-Sensor System (MMSS) Research Group
    Duration: Oct 2005 – Feb 2007
    Responsibilities:

    • Led projects including:
      • Intermap Project (2006-2007): “Assessment of the Intermap Navigation Software and Hardware” (funded by Intermap Technologies Inc.).
      • SiRF Project – Phase II (2005-2006): “Inertial Aided GPS (Phase II)” (funded by SiRF Technology Inc.).
        Supervisor: Dr. Naser El-Sheimy
  • Postdoctoral Fellow
    Institution: The University of Calgary, Canada
    Department: Mobile Multi-Sensor System (MMSS) Research Group
    Duration: Feb 2003 – Sep 2005
    Responsibilities:

    • Led projects including:
      • SiRF Project – Phase I (2005): “Inertial Aided GPS (Phase I)” (funded by SiRF Technology Inc.).
      • MEMS Project (2003-2005): “Next Generation MEMS-Based Navigation System for Vehicles and Personal Location and Navigation” (funded by GEOIDE, Network Center of Excellence).
        Supervisor: Dr. Naser El-Sheimy

Publication top Notes:

Multi-level information fusion enhanced by scene constraint: Key to improve autonomous positioning accuracy in urban underground pipeline using MEMS inertial sensors

Onboard multi-source fusion train positioning method based on railway track irregularity matching

INS-Aided GNSS Pseudo-Range Error Prediction Using Machine Learning for Urban Vehicle Navigation

RANSAC-Based Fault Detection and Exclusion Algorithm for Single-Difference Tightly Coupled GNSS/INS Integration

An Iterative Method for the Distance Constraints in a Multi-Sensor Positioning System

Prof. Shen-Yun Wang | Microwave Sensors Award | Best Researcher Award

Prof. Shen-Yun Wang | Microwave Sensors Award | Best Researcher Award

Prof. Shen-Yun Wang, Nanjing University of Information Science and Technology, China

Shen-Yun Wang, an IEEE member, He received his Ph.D. in Information and Communication Systems from Nanjing University of Aeronautics and Astronautics, China, in 2012. During his Ph.D. studies, from 2009 to 2011, he was a visiting student at the National University of Singapore. Currently, he is an Associate Professor at the Research Center of Applied Electromagnetics at Nanjing University of Information Science and Technology, China. His research focuses on microwave theory and technology, antenna arrays, beam and field forming, microwave sensors, and electromagnetic compatibility.

Professional Profile:

SCOPUS

 

Summary of Suitability for Best Researcher Award:

Shen-Yun Wang (IEEE Member) has an extensive and impressive research background, particularly in the fields of microwave theory, antenna arrays, electromagnetic compatibility, and metasurface technologies. His significant contributions to the advancement of microwave sensors, beamforming, and electromagnetic theory are reflected in numerous publications across reputed journals and conferences. Additionally, his role as an Associate Professor at the Research Center of Applied Electromagnetics at Nanjing University of Information Science and Technology demonstrates his leadership in his field. His recent research includes cutting-edge topics such as antenna arrays for communication systems, electromagnetic propagation, and novel designs for microwave and metamaterial structures.

Education:

  • Ph.D. in Information and Communication System (2012)
    • Institution: Nanjing University of Aeronautics and Astronautics, Nanjing, China
    • Research Focus: Information and communication systems
  • Visiting Ph.D. Student (2009–2011)
    • Institution: National University of Singapore, Singapore
    • Research Focus: Likely related to his Ph.D. research in information and communication systems

Work Experience:

  • Associate Professor
    • Institution: Research Center of Applied Electromagnetics, Nanjing University of Information Science and Technology, Nanjing, China
    • Research Focus:
      • Microwave theory and technology
      • Antenna arrays
      • Beam and field forming
      • Microwave sensors
      • Electromagnetic compatibility

Publication top Notes:

Optimal Design of a Hexagonal Antenna Array for Regional Microwave Breast Hyperthermia

Null Width Steering of Antenna Array

Metasurface Antenna Array for Flat-Top Beam Formation and Low Radar Cross-Section

Design of a transmissive dual-frequency polarization rotator for linearly polarized electromagnetic wave

A Dual-Mode Circular Antenna Array for Indoor Communication

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:

 

Dr. DAVIDE BRIVIO | Electronic Sensors | Best Researcher Award

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