Prof. Zhichun Fan | Reflector | Best Sensor Packaging Technology Award

Prof. Zhichun Fan | Reflector | Best Sensor Packaging Technology Award 

Prof. Zhichun Fan, Jimei University, China

Dr. Zhichun Fan is an Associate Professor and Master’s Supervisor at the College of Ocean Information Engineering, Jimei University, Xiamen, Fujian, China. Recognized as a Category C High-Level Talent in Fujian Province and Xiamen City, he earned his Ph.D. in Nuclear Science and Technology from Tsinghua University and conducted joint doctoral research in Electrical and Computer Engineering at the University of Pittsburgh, supported by the China Scholarship Council. He holds a B.Eng. in Thermal Energy and Power Engineering from China Agricultural University, where he was honored as an Excellent Graduate. Dr. Fan’s research focuses on fiber-optic sensing and imaging technologies, with expertise in fiber Bragg grating (FBG) sensors, distributed acoustic sensing (DAS), and multimode fiber imaging. He has led and participated in numerous national and provincial research projects and has published extensively in high-impact SCI journals and EI-indexed conferences. He holds a PCT international patent and has received awards such as the Best Paper Award at the International Conference on Nuclear Engineering. Dr. Fan welcomes interdisciplinary collaboration and actively mentors students interested in optics, electronic information engineering, and mechanical engineering. Outside academia, he enjoys gaming and fitness, fostering a well-rounded and supportive environment for his students.

Professional Profile:

SCOPUS
ORCID

Summary of Suitability

Dr. Zhichun Fan is a highly qualified candidate for the Best Sensor Packaging Technology Award due to his pioneering contributions to fiber-optic sensor integration, hermetic packaging, and structural health monitoring in harsh and high-risk environments. His interdisciplinary expertise spans optics, nuclear systems, signal processing, and materials engineering, making his work both academically rigorous and practically impactful.

🎓 Education

  • Ph.D. in Nuclear Science and Technology
    Tsinghua University, China (2016.09 – 2021.06)

  • Joint Ph.D. in Electrical and Computer Engineering
    University of Pittsburgh, USA (2019.11 – 2020.10, CSC-funded) 🌏

  • B.Eng. in Thermal Energy and Power Engineering
    China Agricultural University (2012.09 – 2016.06)
    🏅 Honored as an Excellent Graduate of Beijing & CAU

💼 Work Experience

  • Associate Professor / Master’s Supervisor
    College of Ocean Information Engineering, Jimei University (2021.08 – Present)
    🏫 Room 410, Keli Building, Jimei University, Xiamen

🧠 Research Areas

  • Fiber Bragg Grating (FBG) Sensors 📈

  • Distributed Acoustic Sensing (DAS) 🔊

  • Multimode Fiber Imaging 🔬

  • Optical Signal & Information Processing 💡

🧪 Notable Projects (as PI)

  • Fiber Endoscopic Tumor Imaging TechFujian Key Lab (2025–2027) 🧬

  • Crack Monitoring in Metallic Glass SealsFujian NSF Youth Project (2022–2025)

  • Non-uniform Strain Failure AnalysisXiamen NSF (2022–2025)

  • Strain Monitoring in Nuclear Glass SealsFujian Education Dept. (2021–2024) ⚙️

📚 Achievements & Publications

  • 📰 9+ SCI Papers as First or Corresponding Author, incl.:

    • Cover Article: “Residual Stress in Electrical Penetration Assembly”

    • Ultra-Broadband Absorber via MgF₂-Fe Optimization”

    • Real-Time Monitoring of Glass-to-Metal Seals”

  • 🏆 Best Paper Award26th International Conference on Nuclear Engineering (EI Conference)

  • ✍️ Multiple Co-authored Publications in SCI/EI Journals

🧾 Granted Patents

  • PCT International Patent
    Electrical Penetration Assembly and its Manufacturing Method 🔧🔍

🏅 Awards & Honors

  • 🎖️ Category C High-Level TalentFujian Province / Xiamen City

  • 🎓 Excellent GraduateBeijing & China Agricultural University

Publication Top Notes:

Online Condition Monitoring of Gantry Cranes Based on Integrated Optical Fiber Sensing System

Strain rebound and inhomogeneity in glass-to-metal seals: Radial vs axial strain evolution

Fingerprint detection in the mid-infrared region based on guided-mode resonance and phonon-polariton coupling of analyte

On-line monitoring of sealing glass in electrical penetration assembly based on femto-laser inscribed fiber Bragg grating sensors

Analysis of Residual Stress in Electrical Penetration Assembly Based on a Fiber Bragg Grating Sensor

Dr. Zhi Cao | Optical Sensing Awards | Best Researcher Award

Dr. Zhi Cao | Optical Sensing Awards | Best Researcher Award

Dr. Zhi Cao, Shenzhen People’s Hospital, China

Dr. Zhi Cao is a Postdoctoral Fellow at the Department of Gastroenterology, Shenzhen People’s Hospital, affiliated with the Second Hospital of Jinan University and the First Affiliated Hospital of Southern University of Science and Technology. His academic journey includes a Ph.D. in Pharmacy from Wuhan University, where he worked under the guidance of Prof. Zilin Chen. Dr. Cao has extensive research experience in the fields of theranostic probe development, targeted protein degradation, and multi-omics in drug discovery. He is particularly focused on the development of NIR-I/II probes for cancer and neuroinflammation diagnosis, as well as designing PROTACs for targeted protein degradation. His work also involves single-cell transcriptomics in pancreatic regeneration, CRISPR-Cas9/CAR-T engineering for immunotherapies, and the pharmacodynamic evaluation of antitumor/anti-inflammatory agents. Throughout his career, Dr. Cao has contributed to several competitive research grants, including projects funded by the National Natural Science Foundation of China and Guangdong Provincial Key R&D Program. He has held various academic positions, including a visiting scholar role at Tokyo Metropolitan University and research assistantships at Guangzhou University of Chinese Medicine and Cleveland Clinic’s Lerner Research Institute. Dr. Cao’s interdisciplinary expertise and contributions continue to push the boundaries of pharmacological research, with a focus on innovative approaches to cancer and immune-related diseases.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Zhi Cao, Ph.D.

Dr. Zhi Cao is an outstanding candidate for the Best Researcher Award, as evidenced by his academic excellence, research expertise, and notable contributions to the fields of theranostic probe development, targeted protein degradation, and drug discovery. With a Ph.D. in Pharmacy from Wuhan University and a wealth of postdoctoral experience at prestigious institutions such as Shenzhen People’s Hospital, Tokyo Metropolitan University, and Cleveland Clinic, Dr. Cao has demonstrated a commitment to advancing scientific knowledge and practical applications in the healthcare field.

Education 🎓

  • Ph.D. in Pharmacy
    Wuhan University (2018.09 – 2021.06)
    Advisor: Prof. Zilin Chen
  • M.Sc. in Microbial & Biochemical Pharmacy
    South China Normal University (2014.09 – 2017.06)
    Advisor: Prof. Xiaodong Ma
  • B.Sc. in Traditional Chinese Pharmacy
    Hunan University of Chinese Medicine (2010.09 – 2014.06)
    Advisor: Prof. Xiangqian Liu

Work Experience 💼

  • Postdoctoral Fellow
    Shenzhen People’s Hospital (Affiliated Second Hospital of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology) (Nov. 2021 – Present)
    Supervisors: Prof. Lisheng Wang, Prof. Shaohui Tang, Prof. Xiaodong Ma
  • Visiting Scholar
    Tokyo Metropolitan University (JST Sakura Science Exchange Program) (Dec. 2019)
    Advisor: Prof. Uchiyama
  • Research Assistant
    Guangzhou University of Chinese Medicine (July 2017 – Aug. 2018)
  • Joint Training Scholar
    Lerner Research Institute, Cleveland Clinic (Jan. 2016 – Mar. 2017)
    Advisor: Prof. Yong Li

Research Expertise 🔬

  1. Theranostic Probe Development:
    Design and application of NIR-I/II probes for cancer and neuroinflammation diagnosis and mechanistic studies.
  2. Targeted Protein Degradation:
    Design, synthesis, and target identification for PROTACs (Proteolysis-Targeting Chimeras).
  3. Multi-Omics & Drug Discovery:
    • Single-cell transcriptomics in pancreatic regeneration (acute necrotizing pancreatitis)
    • CRISPR-Cas9/CAR-T engineering for immunotherapies
    • Capillary electrophoresis/chromatography-based drug target screening
    • Pharmacodynamic evaluation of antitumor/anti-inflammatory agents

Achievements 🏆

  • National Natural Science Foundation of China (NSFC) Grants:
    1. CAIX-Targeted Hypoxia Imaging in Tumors (82073808, ¥560,000, 2021-2024) – Key Member
    2. Wearable Biosensing for Interstitial Biomarkers (22074113, ¥630,000, 2021-2024) – Key Member
  • Guangdong Provincial Key R&D Program:
    • microRNA-Optimized CAR-T Cell Therapy (2017A030311004, ¥500,000, 2017-2020) – Co-Investigator

Awards & Honors 🥇

  • Key Member of NSFC Grants for cancer imaging and biosensing projects.
  • Co-Investigator for Guangdong Provincial Key R&D Program on CAR-T cell therapy.

Publication Top Notes:

Near‐Infrared Imaging Agent ABSi‐148 Alleviates CA IX‐Mediated Hypoxic Fibrosis in Inflammation‐Cancer Transition

Letrozole‐Based Near‐Infrared Dynamic Imaging Targeting Ductal‐Vascular RhoJ From Pancreatic Intraepithelial Neoplasia to Pancreatic Ductal Adenocarcinoma

Characterization of tumor-associated endothelial cells and the development of a prognostic model in pancreatic ductal adenocarcinoma

Design and synthesis of a novel mitochondria-targeted osteosarcoma theranostic agent based on a PIM1 kinase inhibitor.

Strong hydrophilic monolithic column functionalized with amphiphilic benzyl quinine for capillary electrochromatography and application in pharmaceutical analysis

 

Prof. Dr. Makram Fakhri | Photodetectors Awards | Best Faculty Award

Prof. Dr. Makram Fakhri | Photodetectors Awards | Best Faculty Award 

Prof. Dr. Makram Fakhri, University of Technology-Iraq, Iraq

Dr. Makram A. Fakhri is a distinguished professor and researcher in the field of Nano Photonic Crystal Lasers with a strong background in Optoelectronic Engineering. He earned his Ph.D. in Nano Photonic Crystal Laser Engineering from INEE, UniMAP, Malaysia, in 2016, following an M.Sc. in Optoelectronic Engineering (2007) and a B.Sc. in Electrical and Electronics Engineering (2001) from the University of Technology (UOT), Baghdad, Iraq. Dr. Fakhri has held various academic and administrative positions at the University of Technology, Baghdad, including serving as a Lecturer (1994-2017) and currently as a Professor and Assistant Dean for Scientific Affairs (since 2020). His research expertise spans nano-photonics, waveguide structures, optical materials, and alternative energy sources, with a significant impact in materials science and laser applications.

Professional Profile:

SCOPUS

ORCID

GOOGLE SCHOLAR

Suitability of Dr. Makram A. Fakhri for the Best Faculty Award

Dr. Makram A. Fakhri is a highly distinguished academic and researcher in Nano Photonic Crystal Lasers, Optoelectronics, and Materials Science, making him an outstanding candidate for the Best Faculty Award.

🎓 Education & Work Experience

  • Education:

    • 🎓 Ph.D. in Nano Photonic Crystal Laser Engineering – INEE, UniMAP, Malaysia (2016).
    • 🎓 M.Sc. in Optoelectronic Engineering – Laser & Optoelectronic Eng. Dept, UOT, Baghdad (2007).
    • 🎓 B.Sc. in Electrical & Electronic Engineering – UOT, Baghdad, Iraq (2001).
  • Academic Experience:

    • 🏛️ Lecturer (Ph.D.) – University of Technology (1994-2017) | Full-Time.
    • 👨‍🏫 Professor & Assistant Dean for Scientific Affairs – University of Technology (Since 2020).

🔬 Research & Achievements

  • 📊 H-index: Google Scholar (37) | Scopus (35) | Publons (28).
  • 📜 Editorial Board MemberInternational Journal of Nanoelectronics and Materials (Scopus & WoS Indexed).
  • 🌍 Professional Memberships:
    • IEEE (Institute of Electrical and Electronics Engineers).
    • Optical Society of America (OSA).
    • Iraqi Engineers Syndicate.
    • Association of Alternative Energy Sources.
    • Association of Laser & Optical Electronics.
    • Association of University Lecturers.

🏆 Awards & Honors

  • 🥇 Gold Medal – Iraqi Sovereign Festival (2009) 🏅 (Design & fabrication of PLD system powered by solar cells).
  • 🥈 Silver Medal – Iraqi Sovereign Festival (2010, 2011).
  • 🥈 Multiple Silver Medals (2014-2016) – UniMAP Research & Innovation Exhibitions.
  • 🏆 Second Winner – Iraqi Science Day Award (2016) 🏅 (Best research publication in engineering specialties).
  • 📖 4th Highest Publishing Researcher – UOT (2019).
  • 🌍 Top 2% Scientist in the World – Stanford University Rankings (2019-2022).
  • 🏅 University of Technology Medal – (2021).

Publication Top Notes:

High-performance n-V2O5/p-Si heterojunction photodetector prepared by pulsed laser deposition: role of laser fluence

Selective detection of alpha synuclein amyloid fibrils by faradaic and non-faradaic electrochemical impedance spectroscopic approaches

Synthesized aluminum gallium nitride/porous-Si thin films at different compositions by pulsed laser deposition method

Correction to: Substrate selection and characterization in infrared detector design for sorting systems (Journal of Optics, (2024), 10.1007/s12596-024-02413-9)

Effect of different laser wavelengths on the optical properties of GaN/PSi and Al2O3/PSi thin films using the pulse laser deposition method

Ag@WO3 core–shell nanocomposite for wide range photo detection

 

 

Prof. Amir Ali | Optical Transducers | Best Researcher Award

Prof. Amir Ali | Optical Transducers | Best Researcher Award 

Prof. Amir Ali, German University in Cairo – GUC, Egypt

Dr. Amir R. Ali is an Associate Professor and Director of the ARAtronics Group at the German University in Cairo (GUC), where he leads the Applied-Science & Robotics Laboratory for Applied Mechatronics. He holds a Ph.D. in Mechanical and Mechatronics Engineering from Southern Methodist University, USA, specializing in dielectric micro-resonator-based optomechanical systems for sensing applications. His expertise spans mechatronic systems, robotics, and smart control technologies. Dr. Ali has received numerous awards, including the National Instruments Award (NIDays), the Notable Alumni Award from SMU, and recognition from the Egyptian Engineers Syndicate. His research contributions and dedication to academia have earned him national and international acclaim.

Professional Profile:

GOOGLE SCHOLAR

Suitability for the Best Researcher Award

Dr. Amir R. Ali is a highly qualified and accomplished researcher in the field of Mechatronics, with a strong academic background, extensive research contributions, and multiple prestigious awards. His expertise in dielectric micro-resonator-based optomechanical systems, flexible robotics, and sensing applications aligns well with cutting-edge advancements in engineering.

📚 Education:

🎓 Ph.D. (2011 – 2015) – Dielectric Micro-Resonator-Based OptoMechanical Systems for Sensing Applications, GPA: 3.962
📍 Southern Methodist University, USA

🎓 M.Sc. (2008 – 2010) – Mechatronics Systems and Control [Flexible Robot Manipulators], GPA: 4.00
📍 German University in Cairo, Egypt

🎓 B.Sc. (2002 – 2007) – Mechatronics Systems and Control [Smart Systems], GPA: 3.88
📍 October 6 University, Egypt

💼 Work Experience:

👨‍🏫 Associate Professor – Mechatronics Engineering Department, German University in Cairo (GUC)
🧑‍🔬 Director & Principal Investigator – ARAtronics Group (Applied-Science & Robotics Laboratory for Applied Mechatronics)

🏆 Honors & Awards:

📜 Appreciation Award – Journal of Optical Engineering for volunteer reviewing (2019)
🏅 National Instruments Award (NIDays) – Academic & Research Track (2017, Beirut, Lebanon)
🎖️ Notable Alumni Award – Southern Methodist University (Fall 2017)
🏅 National Instruments Award (NIDays) – Academic & Research Track (2016, Cairo, Egypt)
🥇 Dedication Award – Egyptian Engineers Syndicate for Ph.D. research & publications (2015)
🚀 Entrepreneurship Award – US-INDIA Chamber of Commerce, Spirit of Innovation (2014, Dallas-Fort Worth)
🎓 Egyptian Government Award for Excellence in Undergraduate Studies – Five years in a row (2002-2007)

Publication Top Notes:

Effect of angular velocity on sensors based on morphology dependent resonances

CITED:56

Photonic electric field sensor based on polymeric microspheres

CITED:44

High-resolution electric field sensor based on whispering gallery modes of a beam-coupled dielectric resonator

CITED:32

Nonlinear modeling and control of flexible-link manipulators subjected to parametric excitation

CITED:24

Micro-optical vibrometer/accelerometer using dielectric microspheres

CITED:23

Prof. Zuofeng Zhou | Optical Imaging | Best Researcher Award

Prof. Zuofeng Zhou | Optical Imaging | Best Researcher Award 

Prof. Zuofeng Zhou, Xi’an Institute of Optics and Precision Mechanics of CAS, China

Dr. Zuofeng Zhou is a Professor at the Xi’an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, and the Chief Engineer of XIOPM Holdings Co., Ltd. He is recognized as an Outstanding Young Scholar in Shaanxi Province, China. His research interests span image denoising, computer vision, machine learning, hyperspectral remote sensing image processing, and scientific and technological achievements industrialization. Over the past decade, he has published more than 80 research papers in esteemed journals and conferences and holds 14 technology and product patents. Dr. Zhou is an IEEE Member and serves as a reviewer for multiple international journals, including IEEE Transactions on Image Processing and Neurocomputing. He is actively involved in the industrialization of scientific and technological innovations, leading efforts in technology commercialization, startup incubation, and investment in high-tech enterprises, particularly in optoelectronics and military-civilian integration.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Dr. Zuofeng Zhou is a highly accomplished researcher with extensive contributions in the fields of image processing, computer vision, and machine learning. His expertise spans both theoretical research and practical industrial applications, particularly in hyper-spectral remote sensing image processing and image/video analysis.

🎓 Education

  • Ph.D. in a relevant field (Details not specified)

💼 Work Experience

  • Full Professor – XIOPM, Chinese Academy of Sciences
  • Chief Engineer – XIOPM Holdings Co., LTD
  • Referee – Reviewer for top journals including:
    • IEEE Transactions on Image Processing
    • Neurocomputing (Elsevier)
    • IET Image Processing
    • Signal Processing (Elsevier)
    • Conferences: CVPR, ICIP, ECCV

🏆 Achievements & Contributions

  • 📜 Research Contributions:
    • Published 80+ research papers in renowned journals and conferences (e.g., Signal Processing, ICIP, IET Image Processing)
    • Authored book chapter in Wavelet Transform and Some of Its Real-World Applications (ISBN: 978-953-51-2230-2)
  • 🔬 Research Interests:
    • Image denoising & computer vision
    • Machine learning & hyperspectral remote sensing
    • Image/video analysis
    • Industrialization of scientific and technological achievements
  • 📌 Patents:
    • Obtained 14 technology and product patent authorizations
  • 🚀 Industrialization Initiatives:
    • Led the commercialization of S&T achievements at XIOPM
    • Established 280+ hi-tech enterprises
    • Created 7,000+ jobs
    • Developed industry clusters in laser equipment, optoelectronic integrated circuits, and healthcare
  • 💰 Investment & Entrepreneurship:
    • Co-founded CAS Star Incubator Co., Ltd.
    • Managed funds totaling ~5 billion CNY
    • Invested in 150+ projects, attracting over 630 million CNY in social investment

🏅 Awards & Honors

  • 🌟 Outstanding Young Scholar – Shaanxi Province, China
  • 🎖 IEEE Member
  • 🏆 Recognitions:
    • “CAS Pilot Unit for S&T Achievement Transformation”
    • “Shaanxi Pilot Unit for Building an Innovative Province”
    • “State-level S&T Enterprise Incubator”

Publication Top Notes:

Satellite Pose Measurement Using an Improving SIFT Algorithm

ViBe algorithm based on background fusion and channel calculation

The Application of a Pavement Distress Detection Method Based on FS-Net

Image Enhancement Technology in Pavement Disease Detection System

High-Precision Volume Measurement of Potholes in Pavement Maintenance

 

Dr. Ehsan Adibnia | Photonic Crystals Awards | Best Researcher Award

Dr. Ehsan Adibnia | Photonic Crystals Awards | Best Researcher Award 

Dr. Ehsan Adibnia, University of Sistan and Baluchestan, Iran

Ehsan Adibnia is a dedicated academic researcher specializing in electrical engineering, with a focus on artificial intelligence, machine learning, deep learning, nanophotonics, and plasmonics. He obtained his Ph.D. from the University of Sistan and Baluchestan in Zahedan, Iran, in 2024, after completing his Bachelor’s degree in the same field in 2014. Ehsan actively engages in research projects, leveraging programming languages such as Python and MATLAB, and employing simulation software like Lumerical, COMSOL, and RSoft to implement algorithms and analyze data. His expertise spans various interdisciplinary applications, including optics, optoelectronics, metamaterials, and biosensors. Additionally, he has contributed to the academic community as a member of the executive committee for the 27th Iranian Conference on Optics and Photonics and the 13th Iranian Conference on Photonic Engineering and Technology, further demonstrating his commitment to advancing research and collaboration in the field.

Professional Profile:

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Research for Best Researcher Award 

Profile Overview: Ehsan Adibnia is an academic researcher with a Ph.D. in electrical engineering from the University of Sistan and Baluchestan, specializing in interdisciplinary fields such as artificial intelligence, machine learning, nanophotonics, and optics. His strong background in these areas, combined with hands-on research experience, positions him as a leading contributor to advancements in photonics and related technologies.

Education 🎓

  • Ph.D. in Electrical Engineering
    University of Sistan and Baluchestan, Zahedan, Iran (2024)
  • B.S. in Electrical Engineering
    University of Sistan and Baluchestan, Zahedan, Iran (2014)

Work Experience 💼

  • Academic Researcher
    Currently engaged in research projects focusing on artificial intelligence, machine learning, deep learning, nanophotonics, physics, optics, and plasmonics.

Achievements 🌟

  • Member of the Executive Committee
    Participated in organizing the 27th Iranian Conference on Optics and Photonics and the 13th Iranian Conference on Photonic Engineering and Technology, hosted by Sistan and Baluchestan University.

Publication Top Notes:

Chirped apodized fiber Bragg gratings inverse design via deep learning

A Compact and Fast Resonant Cavity-Based Encoder in Photonic Crystal Platform

High-speed all-optical symmetric 4 × 2 encoder using interface effects in two-dimensional photonic crystals

Nanophotonic structure inverse design for switching application using deep learning

Highly sensitive label-free biosensor: graphene/CaF<sub>2</sub> multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit

Giovanni Luzi | Optical Fibres | Best Researcher Award

Dr. Giovanni Luzi | Optical Fibres | Best Researcher Award

Senior Researcher at LSTME Busan, Italy

Dr. G. Luzi is a distinguished researcher and educator in the field of Fluid Mechanics. With a Ph.D. from Friedrich Alexander University Erlangen, Germany, he has held various academic positions, including Senior Researcher at the LSTME Busan Branch, South Korea, and Lecturer at Dongseo University. Dr. Luzi has supervised multiple Master’s theses and has been integral in shaping future engineers through his teaching of fluid mechanics, numerical analysis, and engineering principles. His collaborative approach to research has resulted in innovative studies across several domains, including optical fibers and cyclone systems. Dr. Luzi’s commitment to advancing scientific knowledge makes him a prominent figure in his field.

Profile:

Scopus Profile

Strengths for the Award:

  1. Academic Qualifications: The candidate has a solid academic background with a Ph.D. in Fluid Mechanics and multiple degrees in Mechanical and Thermomechanical Engineering. This foundational knowledge underpins their research capabilities.
  2. Research Output: The candidate has published several articles in reputable journals, showcasing their active contribution to the field. Topics like optical fibers, cyclone systems, and photobioreactors demonstrate a diverse range of research interests and expertise.
  3. Collaboration and Teamwork: The presence of co-authors in their publications indicates effective collaboration, an essential trait for successful research. Working with various researchers suggests adaptability and a willingness to engage with interdisciplinary teams.
  4. Teaching and Supervision: The candidate’s experience as a lecturer and supervisor for Master’s students highlights their commitment to education and mentoring. This ability to educate the next generation of engineers is a valuable asset.
  5. Innovative Approaches: The candidate’s research includes the development of new methods (e.g., EPES for methane hydrate modeling) and comprehensive reviews (e.g., on photobioreactors), indicating a focus on innovation and addressing current challenges in the field.
  6. International Experience: With positions in both Germany and South Korea, the candidate brings a global perspective to their research and teaching, enhancing their adaptability and understanding of different academic cultures.

Areas for Improvement:

  1. Citation Impact: While some publications have garnered citations, several recent articles show low citation counts. Increasing the visibility of their research through strategic outreach and networking at conferences could enhance their impact.
  2. Broader Research Topics: While the candidate has expertise in specific areas, expanding research into emerging topics or interdisciplinary fields could open new opportunities and enhance their profile.
  3. Grant Acquisition: Focusing on securing research funding could further enhance their research capabilities and the scope of their projects. A strong record of successful grants often bolsters candidacy for awards.
  4. Public Engagement: Enhancing efforts in public engagement or outreach could strengthen the candidate’s profile and demonstrate the societal impact of their research.
  5. Collaborative Projects: Initiating or participating in larger collaborative projects could not only enhance research output but also increase opportunities for interdisciplinary exploration and broader recognition.

Education:

Dr. G. Luzi completed his Ph.D. in Fluid Mechanics at the LSTM, Friedrich Alexander University Erlangen, Germany, from 2009 to 2013. His academic journey began with a B.Sc. in Mechanical Engineering followed by an M.Sc. in Thermomechanical Engineering at the Polytechnic University of Le Marche, Italy, where he graduated in 2005 and 2007, respectively. His rigorous educational background has provided him with a solid foundation in engineering principles and advanced fluid dynamics. Dr. Luzi’s academic credentials are complemented by his ongoing commitment to continuous learning and research, enabling him to remain at the forefront of his field.

Experience:

Dr. Luzi has accumulated extensive academic experience in both teaching and research. He served as a Senior Researcher at LSTME Busan Branch from 2019 to the present, contributing to pioneering studies in fluid mechanics. Prior to this, he was a Guest Researcher at Friedrich Alexander University Erlangen, Germany, further enhancing his research capabilities. From 2013 to 2018, Dr. Luzi was a Lecturer at Dongseo University, where he delivered courses in fluid mechanics, numerical analysis, and engineering mechanics. His role also included supervising Master’s students, resulting in several successful theses. Additionally, his collaboration with other researchers at the Busan Campus of Friedrich Alexander University highlights his commitment to interdisciplinary approaches in academia.

Research Focus:

Dr. G. Luzi’s research focuses on advancing the understanding of fluid dynamics through innovative modeling and simulation techniques. His work encompasses areas such as the asymptotic modeling of optical fibers, cyclone separation efficiency, and the dynamics of complex fluid systems. Recent publications reflect a commitment to integrating theoretical and empirical methodologies, including the development of the Explicit Pressure Explicit Saturation (EPES) method for methane hydrate modeling. Additionally, Dr. Luzi is involved in comprehensive reviews and analyses of photobioreactor systems, emphasizing the application of computational fluid dynamics. His research aims to address both fundamental scientific questions and practical engineering challenges, demonstrating his dedication to contributing valuable insights to the fields of fluid mechanics and thermomechanical engineering.

Publications Top Notes:

  • Asymptotic Modeling of Optical Fibres: Annular Capillaries and Microstructured Optical Fibres
  • Evaluation of Empirical Separation Efficiency Theories for Uniflow Cyclones for Different Particle Types and Experimental Verification
  • Particle Cut Diameter Prediction of Uniflow Cyclone Systems with Fuzzy System Analysis
  • Development of an Explicit Pressure Explicit Saturation (EPES) Method for Modelling Dissociation Processes of Methane Hydrate
  • An Asymptotic Energy Equation for Modelling Thermo Fluid Dynamics in the Optical Fibre Drawing Process
  • Shear-induced Motion of a Bead on Regular Substrates at Small Particle Reynolds Numbers
  • Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review
  • A New Approach for Calculating Microalgae Culture Growth Based on an Inhibitory Effect of the Surrounding Biomass
  • Novel Application of CO2 Gas Hydrate Technology in Selected Fruit Juices Concentration Process

Conclusion:

Overall, the candidate possesses strong qualifications and a solid research record that makes them a suitable contender for the Research for Best Researcher Award. Their commitment to teaching and collaboration, along with their innovative research contributions, highlights their potential for future achievements. By addressing areas for improvement, particularly in visibility and engagement, the candidate could significantly enhance their candidacy for prestigious awards in the academic community.

Dr. Xiaodan Huang | Photonic Sensors Award | Best Researcher Award

Dr. Xiaodan Huang | Photonic Sensors Award | Best Researcher Award 

Dr. Xiaodan Huang, Changzhou Vocational Institute of Mechatronic Technology, China

Xiaodan Huang is an Associate Professor at the Changzhou Vocational Institute of Mechatronic Technology. She earned her Bachelor’s degree in Physics from Soochow University in 2002, followed by a Master’s degree in Materials from Guilin University of Electronic Technology in 2009, and a Ph.D. in Physics from Southeast University in 2018. With a strong academic foundation, Dr. Huang has authored over 20 journal papers and contributed a book chapter to her field. Her current research interests lie in optical sensors, nanophotonics, anti-reflection coatings, and solar cell technologies, where she continues to contribute to advancements in these cutting-edge areas.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Associate Professor Xiaodan Huang

Research Contributions:
Associate Professor Xiaodan Huang has demonstrated significant contributions to the field of nanophotonics and optical sensors. With a solid academic foundation, including a Ph.D. in Physics, she has authored over 20 journal papers and a book chapter, establishing herself as a prominent researcher in her field.

Education

  • Ph.D. in Physics
    Southeast University, 2018
  • M.S. in Materials
    Guilin University of Electronic Technology, 2009
  • B.S. in Physics
    Soochow University, 2002

Work Experience

  • Associate Professor
    Changzhou Vocational Institute of Mechatronic Technology
    (Date of employment not specified, but she is currently in this role)
  • Research Contributions
    • Author of over 20 journal papers and one book chapter.

Research Interests

  • Optical sensors
  • Nanophotonics
  • Anti-reflection technologies

Publication top Notes:

Broadband and highly efficient asymmetric optical transmission through periodic Si cylinder arrays on the dielectric substrates

Asymmetric optical transmission through periodic metallic hemisphere arrays on the transparent substrates

Broadband anti-reflection coating for Si solar cell applications based on periodic Si nanopillar dimer arrays & Si3N4 layer

Dual-spectral narrow bandwidth surface lattice resonance sensors

Detailed formation mechanism of sharp plasmonic lattice modes on Au hemi-ellipsoid arrays in inhomogeneous environment

Plasmonic Lattice Modes Formed Under Both Forward and Backward Illuminations in Inhomogeneous Environment

 

Prof Dr. Michel Jourlin | Brightness Inversion Award | Best Researcher Award

Prof Dr. Michel Jourlin | Brightness Inversion Award | Best Researcher Award 

Prof Dr. Michel Jourlin, Hubert Curien Laboratory, Jean Monnet University, Saint-Etienne, France

Michel Jourlin is an Emeritus Professor at the Hubert Curien Laboratory (UMR CNRS 5516) at Jean Monnet University in Saint-Etienne, France. He holds a State Doctorate in Pure Mathematics, which he earned with First Class Honours and special Congratulations in 1984. His academic career began as a senior lecturer at Jean Monnet University, where he established the Image Processing team at the TSI Laboratory, now part of the Hubert Curien Laboratory. In 1988, he became the head of the Electronics and Image Department at ICPI in Lyon and later, following the merger of ICPI and ESCIL to form CPE-Lyon, he served as the Scientific Director and head of the Electronics, Telecoms, and Computing section. He was instrumental in creating the LISA Laboratory (Image, Signal, and Acoustics), a CNRS-recognized research unit.

Professional Profile:

 

Summary of Suitability for Best Researcher Award

Michel Jourlin is a distinguished Emeritus Professor at the Hubert Curien Laboratory, Jean Monnet University, Saint-Etienne, France. With a State Doctorate in Pure Mathematics earned with First Class Honours and numerous contributions to the field of image processing, Professor Jourlin has demonstrated an exemplary academic and research career.

Education:

  • 1984: Achieved a State Doctorate in Pure Mathematics with First Class Honours and Congratulations.

Work Experience:

  • 1984: Began his academic career as a Senior Lecturer at Jean Monnet University, where he played a pivotal role in establishing the ‘Image Processing’ team at the TSI Laboratory, which later evolved into the Hubert Curien Laboratory.
  • 1988: Became the Head of the Electronics and Image Department at ICPI, Lyon.
  • 1992: After the merger of ICPI and ESCIL engineering schools to form CPE-Lyon, he was appointed Scientific Director of CPE and Head of the ETC section (Electronics, Telecoms, Computing). During this period, he was also instrumental in the creation of the LISA Laboratory (Image, Signal, and Acoustics), an EP CNRS unit.
  • 2000: Joined the ISTASE engineering school (which became Telecom Saint-Etienne in 2008) as a Professor. In 2001, he launched the ‘Digital Image and Vision’ course at the school.
  • 2003: Played a key role in bringing 3rd-year students from the Ecole Supérieure d’Optique, now IOGS, to Saint-Etienne to acquire image processing skills through a specialized ‘Image, Vision Signal’ Master’s course.
  • 2008: Contributed to the creation of the ERIS group (Eclairage, Rendu visuel, Imagerie optique, Sécurité opto-numérique) within the Laboratoire Hubert Curien (UMR 5516) in collaboration with Pierre Chavel. He was responsible for Axis 1, focusing on ‘Lighting, Visual Rendering.’
  • 2008-2015: Served as an Expert for the Ministry of Higher Education and Research.
  • 2011-Present: Continues to serve as an Emeritus Professor at Jean Monnet University. Over his career, he has supervised 42 PhDs and 4 HDRs. His work on the Logarithmic Image Processing (LIP) model has garnered over a thousand citations, leading to numerous publications and the publication of a book titled ‘Logarithmic Image Processing: Theory and Applications’.

Michel Jourlin’s contributions to image processing, especially the LIP model, are widely recognized in the scientific community, and he continues to be an active researcher and reviewer for prestigious journals.

 

Publication top Notes:

CITED: 471
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CITED: 113

 

Dr. Ju Liu | Optical | Best Scholar Award

Dr. Ju Liu | Optical | Best Scholar Award

Dr. Ju Liu, Changchun University of Science and Technology, China

Liu Ju, born on October 23, 1990, in the vast and diverse land of China, is a dedicated and ambitious individual of Han Chinese ethnicity. He is currently a doctoral candidate at Changchun University of Science and Technology, where he specializes in Information and Communication Engineering.Liu Ju’s academic journey is marked by his enrollment in the full-time doctoral program at this prestigious institution on September 5, 2020. His diligent efforts and commitment are set to culminate in his graduation on June 30, 2023. Throughout his academic career, he has demonstrated an unwavering passion for his field, contributing to his development as a skilled and knowledgeable scholar.

Professional Profile

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Orcid

 

🎓 Education Journey:

Liu Ju embarked on his higher education journey at the prestigious Changchun University of Science and Technology. Enrolling as a full-time student, he began his doctoral studies in Information and Communication Engineering on September 5, 2020. He is a committed scholar in the realm of regular higher education and is expected to graduate on June 30, 2023.

🏫 Institution:

Changchun University of Science and Technology is renowned for its academic excellence and innovation. As a doctoral candidate, Liu Ju has been part of a vibrant academic community, engaging in cutting-edge research and contributing to the advancement of his field.

🔬 Major:

Information and Communication Engineering, a dynamic and rapidly evolving field, has been Liu Ju’s focus during his doctoral studies. His work in this area is expected to have a significant impact on the future of communication technologies.

📅 Enrollment and Duration:

Liu Ju’s journey at Changchun University of Science and Technology began in the fall of 2020. With a determined spirit, he has been pursuing his studies diligently and is on track to complete his program within the expected duration of three years.

🔍 Verification:

To verify Liu Ju’s academic credentials, the Ministry of Education’s online academic verification report can be accessed using the online verification code A2T8GUXCC7MWQZDV. The report provides detailed information about his academic status, ensuring transparency and authenticity.

Publications Notes:📄

Polarization image demosaicing and RGB image enhancement for a color polarization sparse focal plane array

Multiple Scattering Properties Based on Modified Microsurface pBRDF Model

Joint target geometry and polarization properties for polarization image fusion

Polarization image fusion method based on polarization saliency with generator adversarial network

DoLP and AoP Synthesis from division of focal plane polarimeters using CycleGAN