Carlos Frajuca | Electromechanical Sensors | Research Excellence Award

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

Ms. Faryal Batool | Sensors Award | Best Scholar Award

Ms. Faryal Batool | Sensors Award | Best Scholar Award

Ms. Faryal Batool | Sensors Award | Middlesex University | United Kingdom

Ms. Faryal Batool is an emerging researcher and academic professional with a strong foundation in computer science, information technology, and sensing technologies, currently pursuing her Ph.D. at Middlesex University London, where her doctoral research focuses on climate change with a specialized emphasis on combating deforestation using Wireless Sensor Networks (WSN) and Artificial Intelligence. She completed her MS in Computer Science from the National College of Business Administration and Economics, Lahore, and earned her BS in Information Technology from BUITEMS, Quetta, where she consistently demonstrated academic excellence and earned multiple scholarships, including the Syeda Mubarik Begum Scholarship Scheme, Wahdat Guardian Organization Scholarship, and university scholarships. Professionally, Ms. Faryal Batool has extensive teaching and mentoring experience, serving as Lecturer at Solent University London Campus and Assistant Lecturer at Middlesex University, alongside previous roles as Lecturer at Lahore Garrison University and Assistant Lecturer at BUITEMS. Her academic career is complemented by early professional experiences through multiple internships at organizations such as the State Bank of Pakistan, Sui Southern Gas Company under USAID, and Pakistan Telecommunication Company Limited, which provided her exposure to applied technology in real-world contexts.

Professional Profile: ORCID

Selected Publications

  1. Quantum Computing and the Future of Healthcare – 2022 (11 citations)

  2. Leadership Complexity Analysis of Swarm & Evolutionary Based MUD using Synchronous MC-CDMA System – 2021 (8 citations)

  3. Hybrid RF/FSO Switchover – 2020 (6 citations)

  4. EEL-GA: An Evolutionary Clustering Framework for Energy-Efficient 3D Wireless Sensor Networks in Smart Forestry – 2023 (4 citations)

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. Dr. Ahmad Jalal | Portable Sensors Awards | Best Researcher Award

Prof. Dr. Ahmad Jalal | Portable Sensors Awards | Best Researcher Award 

Prof. Dr. Ahmad Jalal, Air University, Pakistan

R. Ahmad Jalal is an accomplished academic and researcher, currently serving as an Associate Professor in the Department of Computer Science and Engineering at Air University, Islamabad, Pakistan. He also leads the Intelligent Media Center (IMC) as its Director, overseeing a team of 15 MS and Ph.D. students, researchers, and developers contributing to innovative R&D activities with both national and international collaborations.

Professional Profile:

GOOGLE SCHOLAR

Suitability of R. Ahmad Jalal for the Best Researcher Award

Dr. R. Ahmad Jalal’s extensive academic and professional contributions position him as a highly suitable candidate for the Best Researcher Award. With his role as an Associate Professor in the Department of Computer Science and Engineering at Air University, Islamabad, and as the Director of the Intelligent Media Center (IMC), he has demonstrated leadership in research and innovation.

Education 🎓

  • Ph.D. in Computer Engineering, Pohang University of Science and Technology (POSTECH), South Korea
  • Master’s in Computer Science, (Details not provided, assumed prior to Ph.D.)

Work Experience 💼

  1. Associate Professor (March 2019 – Present)
    • Air University, Department of Computer Science and Engineering, Islamabad, Pakistan.
  2. Director, Intelligent Media Center (IMC) (2017 – Present)
    • Leading a team of 15 MS and Ph.D. students, researchers, and developers working on R&D for international and national collaborations.

Achievements & Contributions 🌟

  • Supervision: Successfully supervised 9 Ph.D. students and 21 MS students.
  • Patents:
    • Depth-based invariant human activity recognition using R transformation features (Co-inventor), Korea Copyright Commission, Patent No. 134571-0003856, 2011.
  • Publications: Multiple impactful papers with notable awards (details below).

Awards and Honors 🏆

  1. Best Paper Award (Runner-up) – ICAEM 2018
    • Facial Expression Recognition in Image Sequences Using 1D Transform and Gabor Wavelet Transform
    • Presented at IEEE Conference of Applied and Engineering Mathematics, pp. 82-87.
  2. Best Paper Award – ICOST 2011
    • Daily Human Activity Recognition Using Depth Silhouettes and R Transformation for Smart Home
    • Presented at the 9th ICOST, Lecture Notes in Computer Science (Springer), LNCS 6719, pp. 25-32.

Notable Roles

  • Leader: Spearheading advanced research in AI, human activity recognition, and media technologies.
  • Innovator: Developed patented solutions in depth-based human activity recognition.

Publication Top Notes:

Robust human activity recognition from depth video using spatiotemporal multi-fused features

CITED:399

A Depth Video Sensor-based Life Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments

CITED:301

Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home

CITED:249

Human activity recognition via recognized body parts of human depth silhouettes for residents monitoring services at smart home

CITED:208

Students’ Behavior Mining in E-learning Environment Using Cognitive Processes with Information Technologies

CITED:186

Vision-based human activity recognition system using depth silhouettes: A smart home system for monitoring the residents

CITED:117

Dr. QingYang Ding | Smart Sensors Awards | Best Researcher Award

Dr. QingYang Ding | Smart Sensors Awards | Best Researcher Award 

Dr. QingYang Ding, Beijing Union University, China

Ding Qingyang is a lecturer and Master’s Advisor with a distinguished career as a senior machine learning engineer. He earned his Ph.D. from the Central University of Finance and Economics in Beijing, China. An active member of the China Computer Association, the Higher Education Association, and the Blockchain Committee of the China Mobile Communication Association, Ding’s research interests span the smart Internet of Things, blockchain technology and its applications, as well as data mining and analysis. He has successfully led a general science and technology project funded by the Beijing Municipal Education Commission and contributed to several provincial and ministerial projects, including national key research and development initiatives and funding from the National Social Science Fund, Beijing Social Science Fund, and Beijing Natural Science Fund. With over 20 academic publications, one monograph, and applications for three national invention patents and two software copyrights, Ding Qingyang has made significant contributions to his fields of expertise.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Qingyang Ding is a lecturer and Master’s advisor with a strong academic background and professional experience in machine learning, blockchain, and the Internet of Things (IoT). He earned his Ph.D. from the Central University of Finance and Economics, Beijing, and is actively involved in various professional organizations such as the China Computer Federation and Blockchain Committee of China Mobile Communication Association.

Education:

  • Ph.D. in [specific discipline not mentioned] from the Central University of Finance and Economics, Beijing, China.

Work Experience:

  • Lecturer and Master’s Advisor with a focus on technology and engineering.
  • Senior Machine Learning Engineer with extensive industry and academic experience in AI and data technologies.
  • Professional Member of:
    • China Computer Association
    • Higher Education Association
    • Blockchain Committee of China Mobile Communication Association

Publication top Notes:

A Resource Allocation Algorithm for Cloud-Network Collaborative Satellite Networks with Differentiated QoS Requirements

Impact of Perceived Value and Community Attachment on Smart Renovation Participation Willingness for Sustainable Development of Old Urban Communities in China

Blockchain Empowered Reliable Federated Learning by Worker Selection: A Trustworthy Reputation Evaluation Method

OBBC: A Blockchain-Based Data Sharing Scheme for Open Banking

Permissioned Blockchain-Based Double-Layer Framework for Product Traceability System

Prof Dr. Dong Wang | Sensors and Actuators | Best Researcher Award

 Prof Dr. Dong Wang | Sensors and Actuators | Best Researcher Award

 Prof Dr. Dong Wang, Xinjiang University,China 

Dong Wang is a prominent figure in the field of Organic Chemistry, currently serving as the Deputy Dean of the School of Pharmaceutical Sciences and Institute of Materia Medica at Xinjiang University. With a passion for research and education, he has made significant contributions to the study of chemical engineering and health-related topics. His academic journey is marked by a dedication to understanding complex chemical processes, particularly in drug development. Dong’s career reflects a commitment to advancing scientific knowledge and nurturing the next generation of chemists.

Professional Profile

Suitability for the Best Researcher Award: 

Dong Wang, a distinguished academic and researcher in Organic Chemistry, holds a Ph.D. from Louisiana State University with a perfect GPA of 4.0. Currently serving as the Deputy Dean and a Full Professor at Xinjiang University, he has an extensive background in both research and teaching. His work focuses on selective detection methods and the synthesis of bioactive compounds, contributing significantly to the fields of pharmaceutical sciences and organic chemistry.

Education 

Dong Wang obtained his Ph.D. in Organic Chemistry from Louisiana State University in 2011, achieving a remarkable GPA of 4.0. His dissertation focused on the selective detection of homocysteine (Hcy) and the synthesis of vinigrol under the guidance of Prof. William E. Crowe. Prior to this, he earned a Master’s degree in Applied Chemistry from Beijing Institute of Technology, where he designed aldose reductase inhibitors. He completed his Bachelor’s in Chemical Engineering and Technology at the same institution, laying a strong foundation for his research career.

 Work Experience

Dong has extensive experience in academia and the pharmaceutical industry. He is currently a Full Professor and Deputy Dean at Xinjiang University, where he oversees academic programs and research initiatives. Previously, he served as an Associate Professor at both Xinjiang University and Tianjin University of Science & Technology. His industry experience includes roles at Longwood Biopharmaceuticals and WuXi PharmaTech, where he contributed to drug development and research. His diverse background enriches his teaching and research, bridging theory and practical application in chemistry.

 Skills

Dong Wang possesses a robust skill set in organic synthesis, analytical chemistry, and chemical engineering. He excels in the design and implementation of experiments for drug discovery and development, particularly in the area of enzyme inhibitors. His proficiency in utilizing advanced techniques such as machine learning for data analysis enhances his research capabilities. Additionally, he is skilled in project management and team leadership, facilitating collaborative research efforts. Dong’s ability to communicate complex scientific concepts effectively is a valuable asset in both educational and professional settings.

 Awards and Honors

Dong has received numerous accolades throughout his academic career. In 2023, he was awarded the Top Cited Article Award from Wiley, recognizing his significant contributions to the field. In 2022, he received the Top Downloaded Article Award, reflecting the impact of his research on the scientific community. Additionally, he was honored with the Charles E. Coates Travel Award during his doctoral studies, as well as multiple Enhancement Awards from the LSU Graduate School. His commitment to excellence in research and education has consistently been acknowledged through these honors.

 Membership

Dong Wang is an active member of several professional organizations related to chemistry and pharmaceutical sciences. His memberships include the American Chemical Society and the Chinese Chemical Society, which facilitate networking and collaboration within the scientific community. These affiliations enable him to stay updated on the latest research trends and innovations in chemistry, enhancing his teaching and research efforts. Dong also participates in conferences and workshops, contributing his expertise and learning from peers in the field.

 Teaching Experience

With a rich background in education, Dong Wang has served as a Graduate Teaching Assistant during his doctoral studies and has taught various courses at Xinjiang University and Tianjin University of Science & Technology. His teaching philosophy emphasizes interactive learning and critical thinking, fostering a deep understanding of organic chemistry among students. As a professor, he is committed to mentoring students and guiding them in research projects, ensuring they develop the skills necessary for success in academia and industry.

 Research Focus

Dong’s primary research interests lie in Organic Chemistry, with a specific focus on drug design and synthesis. His notable work includes the selective detection of homocysteine and the development of aldose reductase inhibitors, which are critical in diabetes treatment. He is also involved in projects related to structural health monitoring and biopharmaceuticals, exploring innovative solutions to complex health challenges. Dong’s research integrates advanced analytical techniques and interdisciplinary approaches, contributing to the advancement of pharmaceutical sciences and enhancing patient care.

 

Publications Notes:📄

  • Accessing 1,8-Naphthyridone-3-carboxylic Acid Derivatives and Application to the Synthesis of Amfonelic Acid
    Year: 2024
    Journal: The Journal of Organic Chemistry
    DOI: 10.1021/acs.joc.4c00415
  • Accessing Tetrahydroquinaldic Amide and Homoproline Derivatives by Dearomative Difunctionalization of Heteroaromatics
    Year: 2024
    Journal: Asian Journal of Organic Chemistry
    DOI: 10.1002/ajoc.202300559
  • Green and fast 2-aryloxylation/amination of quinolines
    Year: 2024
    Journal: Green Chemistry
    DOI: 10.1039/D3GC05178A
  • Phosphonium Salt-Promoted C2–H Functionalization of Heterocyclic N-Oxides
    Year: 2023
    Journal: Organic Letters
    DOI: 10.1021/acs.orglett.3c03742
  • Transition‐Metal‐Free Regioselective Direct C2, C4 Difunctionalization and C2, C4, C6 Trifunctionalization of Pyridines
    Year: 2022
    Journal: Advanced Synthesis & Catalysis
    DOI: 10.1002/adsc.202200261
  • Flavaglines: Their Discovery from Plants Used in Traditional Chinese Medicine, Synthesis, and Drug Development Against Cancer and Immune Disorders
    Year: 2022
    Journal: Current Chinese Chemistry
    DOI: 10.2174/2666001601666211126091737
  • Rapid Generation of Tetrahydropyridines and Tetrahydroquinolines by Dearomative Cyanation/Grignard Addition
    Year: 2022
    Journal: Chemistry – An Asian Journal
    DOI: 10.1002/asia.202200077
  • Development of fluorizoline analogues as prohibitin ligands that modulate C-RAF signaling, p21 expression and melanogenesis
    Year: 2022
    Journal: European Journal of Medicinal Chemistry
    DOI: 10.1016/J.EJMECH.2022.114635
  • Recent Advances in the Synthesis of C2‐Functionalized Pyridines and Quinolines Using N‐Oxide Chemistry
    Year: 2021
    Journal: Advanced Synthesis & Catalysis
    DOI: 10.1002/adsc.202001427
  • Front Cover Picture: Recent Advances in the Synthesis of C2‐Functionalized Pyridines and Quinolines Using N‐Oxide Chemistry
    Year: 2021
    Journal: Advanced Synthesis & Catalysis
    DOI: 10.1002/adsc.202000910

 

 

 

 

Assoc. Prof. Dr. Wan Zakiah Wan Ismail | Electronic sensors Awards | Best Researcher Award

Assoc. Prof. Dr. Wan Zakiah Wan Ismail | Electronic sensors Awards | Best Researcher Award

Assoc. Prof. Dr. Wan Zakiah Wan Ismail , Universiti Sains islam Malaysia, Malaysia

Prof. Madya Ts. Dr. Wan Zakiah Binti Wan Ismail is an Associate Professor at the Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia (USIM). She holds a PhD in Lasers and Quantum Electronics from Macquarie University, Australia, a Master’s in Electronics (Telecommunication) from the University of Melbourne, and a Bachelor’s in Electronics from Universiti Multimedia. Her research expertise spans across various fields including random lasers, biosensing, and quantum-based technologies. Dr. Wan Zakiah has led and participated in numerous research projects funded by both national and international grants, focusing on advanced technologies and their applications in medical and environmental fields. She is actively involved in supervising postgraduate students and contributing to significant research initiatives at USIM.

Professional Profile:

Orcid

Evaluation of Prof. Madya Ts. Dr. Wan Zakiah Binti Wan Ismail for Best Researcher Award

Summary of Suitability:

Prof. Madya Ts. Dr. Wan Zakiah Binti Wan Ismail is a highly qualified academic with a Ph.D. in Lasers and Quantum Electronics from Macquarie University, Australia, and a Master’s degree in Electronics (Telecommunication) from the University of Melbourne. Her expertise spans electronics, quantum electronics, and advanced research in biosensing, medical applications, and sustainable technologies.

🎓Education:

Prof. Madya Ts. Dr. Wan Zakiah Binti Wan Ismail earned her PhD in Lasers and Quantum Electronics from Macquarie University, Australia, in 2016. Prior to that, she completed her Master’s in Electronics (Telecommunication) at the University of Melbourne in 2007. Her academic journey began with a Bachelor’s degree in Electronics from Universiti Multimedia, awarded in 2005.

🏢Work Experience:

Prof. Madya Ts. Dr. Wan Zakiah Binti Wan Ismail has served as an Associate Professor at the Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia (USIM) since 2017. In her role, she teaches undergraduate and postgraduate courses, supervises both PhD and Master’s students, and leads research initiatives. Additionally, she is actively involved as a researcher and co-researcher on various projects funded by national and international grants, with a focus on advanced technologies such as random lasers, biosensing, quantum-based technologies, and environmental applications.

🏆Awards:

Prof. Madya Ts. Dr. Wan Zakiah Binti Wan Ismail has been recognized for her outstanding research contributions by various institutions and conferences. Her significant work in the fields of lasers, quantum electronics, and advanced biosensing technologies has garnered accolades, reflecting her impact and expertise in these areas.

Publication Top Notes:

  • Investigation of Photometric Distribution of LED and HSPV for Road Lighting
  • Developing a Portable Spectrometer to Detect Chemical Contaminants in Irrigation Water
  • Design and Analysis of Water Quality Monitoring and Filtration System for Different Types of Water in Malaysia
  • Integration of Sensing Framework with a Decision Support System for Monitoring Water Quality in Agriculture
  • Advancements in Monitoring Water Quality Based on Various Sensing Methods: A Systematic Review

 

 

 

Prof Dr. Chia-Yen Lee | Environmental Sensors Award | Best Researcher Award

Prof Dr. Chia-Yen Lee | Environmental Sensors Award | Best Researcher Award 

Prof Dr. Chia-Yen Lee, National Pingtung University of Science and Technology, Taiwan

Prof. Chia-Yen Lee is a distinguished academic in the field of Mechanical Engineering with a focus on micro-sensors, micro-electro-mechanical systems (MEMS), HVAC systems, and indoor environment monitoring. He completed his B.S. and M.S. degrees in Mechanical Engineering at National Taiwan University, Taipei, Taiwan, in 1991 and 1993, respectively. He earned his Ph.D. in Engineering Science from National Cheng Kung University, Tainan, Taiwan, in 2004. Prof. Lee has held significant academic positions at National Pingtung University of Science and Technology (NPUST), where he served as a Professor from August 2010 to July 2021 and as a Distinguished Professor from August 2018. Prior to his tenure at NPUST, he was an Associate Professor at Da-Yeh University and a Visiting Scholar at the California Institute of Technology in 2007. His professional career also includes roles in industry as a Section Head at DiCon Fiberoptics, Inc., and senior engineering positions at TECO Electric and Machinery Co., Ltd.

Professional Profile:

 

Summary of Suitability for the Best Researcher Award:

  • Professor Lee’s research expertise includes micro-sensors, MEMS technology, and indoor environment monitoring. His recent work involves the development of infrared sensors based on ZnO thin films, MEMS-based pyroelectric infrared sensors, and Hall sensor arrays for magnetic field mapping.

Education:

🎓 B.S. in Mechanical Engineering
Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan (1987-1991)

🎓 M.S. in Mechanical Engineering
Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan (1991-1993)

🎓 Ph.D. in Engineering Science
Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan (2001-2004)

Professional History:

👨‍🏫 Distinguished Professor
National Pingtung University of Science and Technology, Taiwan (Aug 2018 – Jul 2021)

👨‍🏫 Professor
Department of Materials Engineering, National Pingtung University of Science and Technology, Taiwan (Aug 2010 – Jul 2018)

👩‍🏫 Associate Professor
Department of Materials Engineering, National Pingtung University of Science and Technology, Taiwan (Aug 2008 – Jul 2010)

👩‍🏫 Associate Professor
Department of Mechanical and Automation Engineering, Da-Yeh University, Taiwan (Aug 2007 – Jul 2008)

🌍 Visiting Scholar
Department of Electrical Engineering, California Institute of Technology, CA, U.S.A. (Jul 2007 – Aug 2007)

👨‍🏫 Assistant Professor
Department of Mechanical and Automation Engineering, Da-Yeh University, Taiwan (Aug 2004 – Jul 2007)

Publication top Notes:

Positioning System of Infrared Sensors Based on ZnO Thin Film

Positioning System of Infrared Sensors Based on ZnO Thin Film

Effect of Substrate-Thickness on Voltage Responsivity of MEMS-Based ZnO Pyroelectric Infrared Sensors

Design and Application of MEMS-Based Hall Sensor Array for Magnetic Field Mapping

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

Prof. Anna Pyayt | Sensors Award | Best Researcher Award

Prof. Anna Pyayt | Sensors Award | Best Researcher Award

Prof. Anna Pyayt, University of South Florida, United States

Anna Pyayt is an Associate Professor at the University of South Florida (USF), serving in the Department of Chemical, Biological, and Materials Engineering. She holds affiliated faculty positions in the Departments of Medical Engineering and Electrical Engineering, as well as the Material Science and Engineering Program at USF. Recognized as a senior member of the National Academy of Inventors, Dr. Pyayt has made significant contributions to the field of sensing applications, artificial intelligence, and mobile health technologies. She completed her dual Ph.D. in Electrical Engineering and Nanotechnology at the University of Washington. Dr. Pyayt’s research includes innovations in single-cell endoscopy, deep learning, and assistive technologies for the visually impaired. Her work has attracted substantial funding and numerous accolades, including significant grants from the National Science Foundation and the Department of Health, State of Florida. She has also been honored with multiple awards for her innovative contributions and has mentored students who have achieved significant recognition in their respective fields. Dr. Pyayt’s sabbatical at MagLab further underscores her commitment to advancing scientific research and education.

Professional Profile

Education

  • B.Sc. in Computer Science/Applied Mathematics with honors, ITMO University, Saint Petersburg, Russia, June 2001
  • M.Sc. in Computer Science/Applied Mathematics with honors, ITMO University, Saint Petersburg, Russia, June 2002
  • M.Sc. in Electrical Engineering, University of Washington, December 2005
  • Dual Ph.D. in Electrical Engineering and Nanotechnology, University of Washington, December 2009

Research Interests

  • Sensing
  • Artificial Intelligence
  • Knowledge Graphs
  • Mobile Health
  • Single Cell Endoscopy and Spectroscopy
  • Deep Learning
  • Software and Hardware Assistive Technologies for the Blind and Visually Impaired

Research Internships

  • Hewlett-Packard Labs, Summer 2007
    • Invented, designed, and fabricated two new sensors – an angle sensor and a Nano-photonic sensor (patented and published)
  • Microsoft Research, Summer 2006
    • Invented, designed, and fabricated a new display technology, Telescopic Pixel (patented and published in Nature Photonics)

Funding

  • Cancer SEARCH: $1,200,000, Department of Health, State of Florida, Co-PI
  • PFI-TT: $550,000, NSF, Co-PI
  • Georgia Tech Female Founders I-Corps: $5,000, PI
  • Interstellar Initiative: $30,000, Japan Agency for Medical Research and Development and the New York Academy of Sciences, Co-PI
  • USF COVID-19 Rapid Response grant: $25,000 + $5,000 match, PI
  • AWS Diagnostic Development Initiative: $50,000 from Amazon, Co-PI
  • 3D Visualizations for Material Science: $1,000, PI
  • Teaching Grant: $2,500, PI
  • Equipment Donation from Beckman Coulter Diagnostics: $100,000, PI
  • Industrial Support: $200,000, Co-PI
  • National Science Foundation: $420,000, Senior Personnel
  • National Science Foundation: $196,732, PI

Awards and Honors

  • President, Secretary, Executive Member of the USF Chapter of the National Academy of Inventors
  • Senior Member of the National Academy of Inventors
  • Featured in Advances in Engineering (2021)
  • Published in Sensors and Actuators B: Chemical (2019)
  • Elsevier coverage for MELISA paper (2018)
  • Invited to exhibit Hemolix technology at Cade Museum (2018)
  • Award from the ADVANCE Florida Network Women in STEM Scholars (2018)
  • Featured on Science Updates (2017)

Awards and Honors of Students

  • Numerous awards and recognitions for her students, including NIH MOSAIC K99/R00 Grant, best departmental paper awards, poster awards, travel scholarships, fellowships, and leadership awards.

Publications Notes:📄

Understanding Diffusion in a Single-Metal Organic Framework Crystal Used for Sensing Applications

Fully Digital Audio Haptic Maps for Individuals with Blindness

Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings

Mobile ELISA with a Transparent Incubator

Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment

Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles