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

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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 Member – International 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

 

 

Mr. Tiago Nunes | Muscle Scan | Best Scholar Award

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Mr. Tiago Nunes | Muscle Scan | Best Scholar Award

Mr. Tiago Nunes, Federal University of Santa Maria, Bouvet Island

Tiago Dutra Leite Nunes is a graduate in Physical Education from the Universidade Federal de Santa Maria (UFSM), Brazil (2020–2024). His academic and professional interests focus on muscle symmetries, performance, trained cyclists, workshops, and power. Throughout his education, Tiago has pursued various complementary courses in exercise physiology, neuromuscular evaluation, sports pedagogy, and statistics, enhancing his expertise in sports science and athlete development. He has also completed training in programming with Python. Professionally, he has served as a scholarship holder and teaching assistant at UFSM, contributing to research and academic activities. His dedication to sports science is evident through his involvement in workshops and specialized training programs, particularly in padel and functional movement evaluation.

Professional Profile:

SCOPUS

Suitability for Best Scholar Award – Tiago Dutra Leite Nunes

Tiago Dutra Leite Nunes has a strong academic background in Physical Education, with multiple certifications and training courses in sports science, physiology, statistics, and data analysis. His professional experience includes scholarship and teaching assistant roles, demonstrating a commitment to academic growth and knowledge dissemination.

Education 🎓

  • 2020 – 2024: Bachelor’s Degree in Physical Education – Universidade Federal de Santa Maria (UFSM), Brazil
  • 2013 – 2019: Secondary Education – Colégio Sinodal Barão do Rio Branco (CBARAO), Brazil
  • Complementary Education:
    • Workshops & Certifications in Sports Physiology, Neuromuscular Assessment, Python Programming, Statistics, Athlete Development, and Movement Evaluation.

Work Experience 💼

  • Universidade Federal de Santa Maria (UFSM), Brazil
    • 2023: Scholarship Holder (Bolsista) – 20 Credit Hours
    • 2023: Teaching Assistant (Monitoria) – 6 Credit Hours
    • 2022: Scholarship Holder (Bolsista) – 20 Credit Hours
    • 2021 – 2022: Scholarship Holder (Bolsista) – 12 to 20 Credit Hours

Achievements & Awards 🏆

  • Specialization in Athletic Performance & Training – Focus on muscle symmetry, performance, and trained cyclists 🚴‍♂️
  • Recognized Contributions in Workshops & Research – Conducted workshops and studies on power output and sports performance 📊
  • Active Participant in Multiple Training Programs – Covering exercise physiology, biomechanics, and sports pedagogy 💪
  • Proficient in Data Analysis & Programming for Sports Science – Trained in Python and statistical methods for performance assessment 📈

Publication Top Notes:

Vastus lateralis muscle architecture, quality, and stiffness are determinants of maximal performance in athletes?

Prof. Zuofeng Zhou | Optical Imaging | Best Researcher Award

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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:

ORCID

SCOPUS

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