Abdul Abdul | Quantum optics | Best Researcher Award

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Assoc. Prof. Dr. Abdul Abdul | Quantum optics | Best Researcher Award

Associate Professor at Quanzhou University of Information Engineering, China

Dr. M. Abdul is an experimental physicist specializing in ultracold atoms, quantum simulation, and high-resolution imaging 🔬🧊. He earned his PhD from the University of Science and Technology of China 🎓 and served as an Assistant Professor at Sichuan University until March 2022 🏫. Currently, he is a full-time researcher at the University of Electronic Science and Technology of China 🧠. With a resilient and cooperative personality 🤝, he is passionate about advancing many-body quantum systems, laser development, and quantum optics 🌌. Outside academia, he enjoys football ⚽, hiking 🥾, and community welfare activities ❤️.

Professional Profile:

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🔹 Education & Experience 

📚 Education

  • 🎓 PhD, University of Science and Technology of China (2014–2018)

  • 🧑‍🏫 M.Phil in Electronics, Quaid-I-Azam University Islamabad (2009–2011)

  • 📘 M.Sc. in Physics (Electronics), Bahauddin Zakariya University (2006–2008)

  • 📗 B.Sc. in Physics & Mathematics, BZU Multan (2003–2006)

🧑‍🔬 Academic & Research Positions

  • 🔬 Full-time Researcher, UESTC China (May 2022 – May 2025)

  • 👨‍🏫 Assistant Professor, Sichuan University (Dec 2018 – Mar 2022)

  • 📖 Visiting Faculty, QAU & FUUAST Islamabad (2011–2014)

  • 🧪 Physics Lecturer, St. Mary College, Rawalpindi (2009–2011)

  • 🧑‍🏫 Physics Head, Punjab Group of Colleges (2008–2009)

  • 📚 Physics & Math Teacher, Down High School Mailsi (2002–2006)

🔹 Professional Development 

Dr. Abdul has developed advanced experimental proficiencies, including building ultrahigh vacuum systems 🔧, creating homemade lasers at multiple wavelengths 🔦, and constructing laser-locking electronic circuits ⚙️. He is skilled in designing high-resolution imaging setups using DMD or superlattices 📸. His technical fluency spans software like Mathematica, Matlab, FORTRAN, C++, and even Photoshop and Fedora 💻🖥️. With two patents applied 📝, and a two-year computer diploma 🖱️, he combines hands-on laboratory expertise with strong computational and visualization tools. His work is both theoretically insightful and experimentally grounded, making him a valuable contributor to quantum optics and ultracold atom research 🌐⚛️.

🔹 Research Focus Category 

Dr. Abdul’s research focuses on quantum many-body systems, particularly using ultracold atoms trapped in optical lattices 🔗🧊. His expertise spans quantum simulation, boson sampling, and nonlinear optics such as cavity-based lasers 🔍🔬. By developing high-resolution imaging systems and designing quantum experiments with precision lasers and ultrahigh vacuum chambers, he aims to explore foundational physics questions 🌌🧠. His interdisciplinary work lies at the interface of quantum optics and atomic physics, contributing to both fundamental theory and practical technology for future quantum devices and simulation platforms ⚛️🧪.

🔹 Awards and Honors 

🏅 5th position in M.Sc. – Prime Minister Fellowship
🏆 Roll of Honor – 1st Position in College (B.Sc.)
🎓 Merit Scholarship during M.Phil studies
🌍 CAS-TWAS President’s Fellowship for PhD
🇨🇳 China Talent Visa – Category R

Publication Top Notes

1. Title: Synergistic improvement of OER/HER electrocatalytic performance of Cu₂Te via the introduction of Zr for water electrolysis

  • Journal: International Journal of Hydrogen Energy

  • Publication Date: May 2025

  • Type: Journal Article

  • DOI: 10.1016/j.ijhydene.2025.04.259

  • Summary: Focuses on enhancing the electrocatalytic activity of Cu₂Te for oxygen and hydrogen evolution reactions (OER/HER) through zirconium doping to improve water electrolysis efficiency.

2. Title: Facile synthesis of Co₃Te₄–Fe₃C for efficient overall water-splitting in an alkaline medium

  • Journal: Nanoscale Advances

  • Publication Date: 2025

  • Type: Journal Article

  • DOI: 10.1039/D4NA00930D

  • Summary: Reports on the synthesis of a composite catalyst (Co₃Te₄–Fe₃C) that achieves high efficiency in water splitting under alkaline conditions.

3. Title: Manipulation of surface plasmon polariton fields excitation at quantum-size slit in a dielectric and graphene interface

  • Journal: Optics & Laser Technology

  • Publication Date: March 2024

  • Type: Journal Article

  • DOI: 10.1016/j.optlastec.2023.110234

  • Summary: Investigates the behavior of surface plasmon polaritons at a graphene-dielectric interface, focusing on field excitation at nanometric slits.

4. Title: Exploring the properties of Zr₂CO₂/GaS van der Waals heterostructures for optoelectronic applications

  • Journal: Physical Chemistry Chemical Physics

  • Publication Date: 2024

  • Type: Journal Article

  • DOI: 10.1039/D4CP02370F

  • Summary: Theoretical analysis of Zr₂CO₂ and GaS-based heterostructures, evaluating their potential for next-generation optoelectronic devices.

5. Title: Effects of thermal fluctuation when an optical cavity possesses neutral atoms and a two-mode laser system

  • Journal: Chaos, Solitons & Fractals

  • Publication Date: March 2023

  • Type: Journal Article

  • DOI: 10.1016/j.chaos.2023.113162

  • Summary: Studies the influence of thermal fluctuations in an optical cavity system incorporating neutral atoms and a dual-mode laser, relevant to quantum optics.

Conclusion

Dr. M. Abdul is highly suitable for a Best Researcher Award based on his innovative work in quantum optics and ultracold atom systems, his ability to independently develop advanced experimental setups, and his recognized academic excellence throughout his career. His international training, teaching versatility, and community engagement further reinforce his eligibility.

Apekshya Singh | Medical Imaging | Best Researcher Award

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Dr. Apekshya Singh | Medical Imaging | Best Researcher Award

Resident Doctor at Second Affiliated Hospital of Harbin Medical University, China

Apekshya Singh 🇳🇵 is a dedicated medical professional currently pursuing her Master’s in Medical Imaging and Nuclear Medicine 📸🧠 at Harbin Medical University, China 🇨🇳. With a background in Clinical Medicine from Changsha Medical University and a deep interest in AI-based diagnostics 🤖, she aims to transform radiology through machine learning and radiomics. Passionate about research and innovation, Apekshya is working on predictive modeling for hepatic metastasis in rectal cancer patients 🎯🧬. Her adaptability, collaborative spirit, and academic excellence 🌟 make her a promising contributor to future breakthroughs in imaging and precision medicine 🔍🧪.

Professional Profile:

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🔹 Education & Experience 

📚 Education

  • 🎓 Master’s in Medical Imaging & Nuclear Medicine
    Harbin Medical University (2023–present), China
    🏥 Training at 2nd Affiliated Hospital

  • 🎓 MBBS in Clinical Medicine
    Changsha Medical University (2013–2019), China
    📖 Medium: English | 🩺 Internship: 1 year full-time rotatory

  • 🎓 HSEB in Science (Biology)
    V.S. Niketan HSS, Kathmandu, Nepal (2009–2011)

💼 Experience

  • 🧪 Ongoing research in radiomics & machine learning for cancer prediction

  • 🏥 One-year hospital-based clinical internship across specialties

🔹 Professional Development 

Apekshya Singh is committed to lifelong learning and innovation in medical imaging and diagnostics 🧠📊. Her journey from MBBS to pursuing a Master’s in Imaging Medicine showcases her strong foundation in both clinical and technological domains 🩺💻. She is currently developing expertise in radiomics and artificial intelligence to enhance cancer diagnostics, specifically focusing on hepatic metastasis prediction using machine learning models 🤖🧬. With hands-on experience in hospital rotations and research labs 🧫🏥, she thrives in interdisciplinary environments and seeks to align her work with global medical challenges 🌍. Apekshya is open to collaborative, multicultural research initiatives 🤝🌐.

🔹 Research Focus 

Apekshya Singh’s research lies at the intersection of medical imaging, computational diagnostics, and cancer prediction 🎯📸🧬. Her current focus is on using radiomics and machine learning to predict hepatic metastases in rectal cancer patients, enabling early and accurate diagnoses 🧠🔍. She combines imaging data with algorithmic analysis, working on feature extraction and predictive model development 💻📊. Her broader interests include applying AI and deep learning in radiology to address diverse diagnostic challenges across diseases 🦠🩻. This interdisciplinary focus positions her in the fields of computational imaging, radiological AI, and clinical oncology research 🧪🤖🧬.

🔹 Awards & Honors 

🏅 Heilongjiang Provincial Government Scholarship
– For academic excellence during Master’s program at Harbin Medical University

🏅 International Outstanding Student Scholarship
– Awarded during MBBS studies at Changsha Medical University

🏅 Full Entrance Scholarship
– Granted during enrollment at V.S. Niketan HSS, Nepal

Publication Top Notes

1. Habitat Radiomics Based on MRI for Predicting Metachronous Liver Metastasis in Locally Advanced Rectal Cancer: a Two‑center Study

  • Authors: S. Shi, T. Jiang, H. Liu, Y. Wu, A. Singh, Y. Wang, J. Xie, X. Li

  • Journal: Academic Radiology

  • Year: 2025

  • Overview: This study investigates the use of habitat radiomics features derived from pre-treatment MRI to predict the development of metachronous liver metastases in patients with locally advanced rectal cancer (LARC). It is a two-center retrospective analysis and leverages advanced image segmentation and machine learning techniques.

2. Emerging MRI Biomarkers for Prognostication in Rectal Cancer

  • Authors: A. Singh, X.F. Li, S.M. Shi, H. Liu, Y. Wu, S. Nirala

  • Journal: Current Cancer Therapy Reviews

  • Year: 2024

  • Overview: This review paper focuses on novel and emerging MRI biomarkers for prognosis and therapy response assessment in rectal cancer. It discusses conventional and radiomic features, with a focus on translating imaging biomarkers into clinical decision-making tools.

3. Maternal High Fat Diet and its Expressions in the Heart and Liver in the Mice Embryogenesis

  • Authors: S. Nirala, X.R. Tan, M. Shafiq, R. Basnet, A. Singh

  • Journal: Current Molecular Medicine

  • Volume: 24 (7), Pages 889–898

  • Year: 2024

  • Overview: This experimental study investigates how a maternal high-fat diet (HFD) affects gene expression and molecular signatures in the heart and liver of mouse embryos, providing insights into early developmental metabolic programming.

4. Development and Validation of a Multi-parametric MRI Deep-learning Model for Preoperative Lymphovascular Invasion Evaluation in Rectal Cancer

  • Authors: X.L. Shi Shengming, Apekshya Singh, Jiaqi Ma, Xinsheng Nie, Xiangjiang Kong, et al.

  • Journal: Quantitative Imaging in Medicine and Surgery

  • Year: 2024

  • Overview: This paper proposes a deep learning model trained on multi-parametric MRI data to preoperatively predict lymphovascular invasion (LVI) status in rectal cancer patients. It offers a non-invasive tool for treatment planning.

5. Lipid and High Resolution Surface Chemical Patterning

  • Authors: J. Moran-Mirabal, A. Singh, B. Baird, H. Craighead

  • Journal: Biophysical Journal

  • Volume: 86 (1), Page 34A

  • Year: 2004

  • Overview: This abstract/short communication from a conference issue describes techniques for surface patterning at high resolution involving lipid domains—relevant in the context of membrane biophysics and biosensor development.

Conclusion

Apekshya Singh is a very promising early-career researcher who has already made significant strides in a complex, interdisciplinary area combining medical imaging, artificial intelligence, and oncology. While she may not yet have a long list of publications (due to being early in her research career), her clear focus, strong academic record, and impactful ongoing research make her highly suitable for a Best Researcher Award (Young Researcher or Early Career category). Recognizing her now would encourage further contributions and innovation in a highly impactful field.

Karima Annou | Plasma Physics | Best Researcher Award

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Dr. Karima Annou | Plasma Physics | Best Researcher Award

Researcher at Centre de développement des technologies avancées, Algeria

Dr. Karima Annou 🇩🇿 is an Algerian researcher 🧑‍🔬 specializing in theoretical physics, particularly in plasma science ⚡. She earned her Ph.D. 🎓 from USTHB in 2013, focusing on multidimensional coherent structures in dusty plasmas. Currently, she works at the Centre de Développement des Technologies Avancées (CDTA) in Algiers 🏢. A dedicated peer reviewer and an international scientific member 🌍, Dr. Annou has made notable contributions to nonlinear dynamics and plasma applications. Fluent in Arabic, French, and English 🗣️, she blends strong computing skills 💻 with a passion for advancing plasma research and its applications.

Professional Profile:

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Education and Experience 🎓🛠️

Education:

  • 🎓 Habilitation, UMBB, Algeria (2016)

  • 🎓 Ph.D. in Physics, USTHB, Algeria (2013) – Theoretical physics (Dusty plasmas)

  • 🎓 Magister en Physique (MSc equivalent), USTHB (2007)

  • 🎓 DES de Physique (Radiation Physics), USTHB (2003)

Experience:

  • 🧪 2012–Present: Researcher, Plasma & Application Team, CDTA, Algeria

  • 🧑‍🏫 2008–2010: Physics/Chemistry Teacher, AGORA High School, Algiers

  • 🧑‍🏫 2007–2008: Lecturer, University of Boumerdes (UMBB)

  • 🧑‍🏫 2006–2007: Physics/Chemistry Teacher, FENNEC School, Algiers

  • 🧑‍🏫 2005–2006: Physics Teacher, Med Ben Rahal High School, Algiers

  • 📢 2000–2006: Head of Communication, Club of Young Physicists

Professional Development 🧑‍💻📈🗣️

Dr. Karima Annou 📚 constantly enhances her academic and professional skills. She is fluent in Arabic, French, and English 🗣️, enabling her to collaborate on international levels 🌍. Her technical proficiencies include using symbolic and numerical software like Maple, Matlab, and Geant4 💻, alongside a strong command of MS Office tools. With teaching experience across different educational levels 🧑‍🏫, she also refined her scientific communication skills while leading youth physics initiatives 📢. Dr. Annou remains active in global research networks, peer-reviewing for top journals and participating in associations like AIP and CMSIM 🔬.

Research Focus Category 🔬🌌⚡

Dr. Karima Annou’s research 🔬 revolves around Nonlinear Dynamics, Solitary Waves, and instability phenomena in plasma physics ⚡. She focuses on nonlinear partial differential equations (PDEs), dusty plasma models 🌌, laser-plasma interactions, and materials science applications 🧪. Her theoretical work extends to kinetic theories, anomalous diffusion, and astrophysical turbulence 🌠. Dr. Annou’s studies contribute to understanding complex plasma behaviors under extreme conditions, aiming at practical applications such as energy, materials engineering, and space plasma exploration 🚀. Her interdisciplinary approach bridges fluid dynamics and advanced material sciences 🔗.

Awards and Honors 🏆🎖️

  • 🏅 International Member, CMSIM (Chaotic Modeling and Simulation)

  • 🎖️ Peer Reviewer for prestigious journals:

    • Physics of Plasmas (AIP Publishing) 📄

    • AIP Advances 📚

    • Journal of Physics A: Mathematical and Theoretical (IOPscience) 📘

    • Journal of Applied Physics (AIP Publishing) 🧪

    • American Journal of Modern Physics (Science Publishing) 🧬

    • Transactions on Plasma Science (IEEE) 🖥️

Publication Top Notes

1. Dromion in space and laboratory dusty plasma

  • Authors: K. Annou, R. Annou

  • Journal: Physics of Plasmas, Volume 19, Article 043705 (2012)

  • Citations: 22

  • Summary:
    This paper studies dromions, which are localized two-dimensional (2D) structures, in dusty plasmas—both in space environments and laboratory settings. The authors derive conditions under which dromions can form using a two-dimensional generalization of plasma wave equations. They explore how dust grain parameters and plasma characteristics affect the generation and stability of these structures, offering insights for space plasmas (like in cometary tails) and controlled experiments.

2. Cairns-Gurevich equation for soliton in plasma expansion into vacuum

  • Authors: K. Annou, D. Bara, D. Bennaceur-Doumaz

  • Journal: Journal of Plasma Physics, Volume 81, Issue 3, Article 905810318 (2015)

  • Citations: 20

  • Summary:
    This paper derives a modified nonlinear evolution equation—specifically the Cairns-Gurevich equation—to describe the formation and propagation of solitons during plasma expansion into a vacuum. The model accounts for the nonlinearity and dispersion specific to expanding plasmas, which is important for laser-plasma interactions, astrophysical jets, and spacecraft wake studies. The study provides analytical soliton solutions and discusses physical conditions necessary for their existence.

3. Spherical Kadomtsev–Petviashvili equation for dust acoustic waves with dust size distribution and two-charges-ions

  • Authors: K. Annou, S. Bahamida, R. Annou

  • Journal: Pramana – Journal of Physics, Volume 76, Issue 3, Pages 513–518 (2011)

  • Citations: 16

  • Summary:
    In this article, the authors extend the classical Kadomtsev–Petviashvili (KP) equation into spherical geometry to describe dust acoustic waves (DAWs) in dusty plasmas. They include realistic effects like dust size distribution and two types of ion species with different charges. The spherical KP equation derived here helps explain nonlinear wave structures observed in astrophysical dusty environments, such as planetary rings and cometary comas.

4. Ion-acoustic solitons in plasma: an application to Saturn’s magnetosphere

  • Author: K. Annou

  • Journal: Astrophysics and Space Science, Volume 357, Article 1-9 (2015)

  • Citations: 14

  • Summary:
    This study applies ion-acoustic soliton theory to the conditions of Saturn’s magnetosphere. The author models the formation of ion-acoustic solitary waves under the influence of varying plasma parameters found around Saturn, including temperature ratios and density profiles. The results are relevant for interpreting data from missions like Cassini, offering insights into how nonlinear structures affect plasma transport and particle dynamics around giant planets.

5. Effect of nonthermal ion distribution and dust temperature on nonlinear dust-acoustic solitary waves

  • Authors: K. Annou, R. Annou

  • Journal: Pramana – Journal of Physics, Volume 78, Issue 1, Pages 121–126 (2012)

  • Citations: 11

  • Summary:
    This paper analyzes how a nonthermal ion distribution (departing from Maxwellian) and finite dust temperature influence the properties of dust-acoustic solitary waves. The study shows that these factors significantly modify the amplitude and width of solitary waves, affecting their stability and propagation. These findings are important for understanding nonlinear wave behavior in both laboratory dusty plasmas and cosmic settings like interstellar clouds.

Conclusion

➡️ Dr. Karima Annou is highly suitable for a Best Researcher Award. She meets all the major criteria: advanced degrees, sustained research output, international peer recognition, interdisciplinary research, and active service to the scientific community. Her work in plasma physics and nonlinear dynamics is scientifically impactful, and she represents an excellent example of dedication to research and scientific excellence, especially from an emerging research region (Algeria).

Farshad Nobakhtkolour | Engineering | Best Researcher Award

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Mr. Farshad Nobakhtkolour | Engineering | Best Researcher Award

Researcher at K.N.Toosi University of Technology, Iran

Farshad Nobakht-Kolur 🎓 is a passionate civil engineer specializing in marine structures and offshore renewable energy 🌊⚡. He earned his M.Sc. in Coasts, Ports, and Marine Structures from K. N. Toosi University of Technology and his B.Sc. in Civil Engineering from Shahrood University 🏫. Farshad’s research focuses on floating structures, marine hydrodynamics, and aquaculture engineering 🚢🌱. He has published multiple journal papers and served as a peer reviewer 📚🖋️. A top-ranked student throughout his academic journey 🏆, he continues to contribute actively to the marine engineering community through research, reviews, and professional memberships 🤝.

Professional Profile:

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🔵 Education and Experience 

  • 🎓 M.Sc. in Coasts, Ports, and Marine Structures – K. N. Toosi University of Technology (2016-2019)

  • 🎓 B.Sc. in Civil Engineering – Shahrood University of Technology (2009-2013)

  • 🏫 Diploma in Mathematics and Physics – Bagher-al-Olum High School (2005-2009)

  • 👨‍🏫 Teaching Assistant – Shahrood University of Technology (Statics & Steel Structures Courses)

  • 🧪 Researcher – Published papers in top marine and fluid mechanics journals

  • 📑 Conference Presenter – Marine Industries Conference and academic workshops

🔵 Professional Development 

Farshad Nobakht-Kolur has actively contributed to professional growth through memberships and peer reviewing 🛠️📖. He is a member of the Iranian Coastal and Marine Structural Engineering Association (ICOMSEA) 🌐, and The American Society for Nondestructive Testing (ASNT) 🧪🔍. Farshad has reviewed articles for prestigious journals like Ocean Engineering and Journal of Modern Green Energy ✍️📘. His commitment to continuous learning and sharing knowledge is evident through his workshop presentations, paper publications, and involvement with academic and industrial bodies 🌟. Farshad’s work bridges the gap between theoretical research and real-world marine engineering solutions 🌊🔗.

🔵 Research Focus Category 

Farshad Nobakht-Kolur’s research focus lies in marine and offshore engineering 🌊🔧. His primary interests include floating wind turbines, floating solar islands, offshore renewable energy structures, and aquaculture engineering 🌱⚡. He specializes in fluid-structure interaction, experimental modeling, and numerical simulation 🧪💻. Farshad’s work emphasizes sustainable marine structures like floating seaweed farms and hybrid platforms that support renewable energy production and food security 🌿🔋. Through advanced physical modeling and hydrodynamic analysis, he contributes innovative solutions to the growing demands of the offshore and marine industry 🚢🌍.

🔵 Awards and Honors 

  • 🥇 First rank – Best Graduate M.Sc. Students in Marine Engineering, Iranian Marine Industries Organization, 2022

  • 🥈 Second rank – Top MSc Students in Marine Structure Engineering, 2019

  • 🧠 Top 1% – MSc Entrance Exam of Universities, 2016

  • 🎓 Top 10% – B.Sc. Students in Civil Engineering, 2013

  • 🧠 Top 1% – University Entrance Exam, 2009

  • 🎖️ Top 10 – High School Graduates, 2009

Publication Top Notes

  1. Effects of soft marine fouling on wave-induced forces in floating aquaculture cages: Physical model testing under regular waves

    • Journal: Ocean Engineering

    • Date: October 2021

    • DOI: 10.1016/j.oceaneng.2021.109759

    • Focus: How soft biofouling (like algae and soft marine growth) changes the forces exerted on aquaculture cages when regular waves hit them, using physical model tests.

  2. Hydrodynamic forces in marine-fouled floating aquaculture cages: Physical modelling under irregular waves

    • Journal: Journal of Fluids and Structures

    • Date: August 2021

    • DOI: 10.1016/j.jfluidstructs.2021.103331

    • Focus: Similar to above but testing under irregular waves (more realistic sea conditions), focusing on how fouling affects hydrodynamic forces.

  3. Wave attenuation/build-up around and inside marine fouled floating aquaculture cages under regular wave regimes

    • Journal: Journal of Ocean Engineering and Marine Energy

    • Date: February 24, 2021

    • DOI: 10.1007/s40722-021-00186-y

    • Focus: Investigating wave energy behavior—whether it’s dampened (attenuated) or amplified (build-up)—around/inside fouled cages during regular waves.

  4. Experimental Modelling of Biofouling Effects on the Regular and Irregular Waves Load in Aquaculture Cages

    • Institution: K. N. Toosi University of Technology

    • Type: Dissertation/Thesis

    • Year: 2019

    • DOI: 10.13140/RG.2.2.28208.48644

    • Focus: The early foundational work by Farshad Nobakht-Kolur, focusing on both regular and irregular waves and their loading effects on biofouled cages, likely forming the base for the later journal papers.

Conclusion

Farshad Nobakht-Kolur demonstrates all the qualities of a promising and impactful researcher: scientific excellence, originality, practical application of research, international publication record, and community engagement.
In my opinion, he is a highly suitable and strong candidate for the Best Researcher Award — particularly within the fields of marine structures, offshore engineering, and renewable energy systems.

Abdul Kabir | Nuclear astrophysics | Young Scientist Award

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Assist. Prof. Dr. Abdul Kabir | Nuclear astrophysics | Young Scientist Award

Assistant Professor at Institute of Space Technology Islamabad, Pakistan

Dr. Abdul Kabir Khan 🎓, born on 11 March 1991 🇵🇰, is an Assistant Professor of Physics at the Institute of Space Technology (IST), Islamabad. He specializes in Theoretical Nuclear Astrophysics 🔭 and is an HEC-approved Ph.D. supervisor. His research bridges nuclear physics and astrophysics, focusing on nuclear properties under extreme conditions 🌌. He earned his Ph.D. and MS from GIK Institute 🏛️, with multiple Gold Medals 🥇. Dr. Khan has published and reviewed for leading journals 📖 and has also contributed significantly to curriculum development 📚 and project management 🛠️ at IST.

Professional Profile:

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🎓 Education & Experience 

Education:

  • 🎓 Ph.D. in Theoretical Nuclear Astrophysics — GIK Institute (2018-2021)

  • 🎓 MS in Theoretical Nuclear Astrophysics — GIK Institute (2016-2018) 🥇

  • 🎓 M.Sc. in Theoretical Physics — Abdul Wali Khan University, Mardan (2014-2016) 🥇

  • 🎓 B.Sc. (Physics, Maths-A, Electronics) — Abdul Wali Khan University, Mardan (2011-2013) 🥇

  • 🎓 F.Sc. (Pre-Engineering & Biology) — BISE Mardan (2008-2010)

  • 🎓 SSC (Sciences) — BISE Peshawar (2005-2007)

Experience:

  • 👨‍🏫 Assistant Professor, Department of Space Science, IST Islamabad (2021–Present)

  • 👨‍🏫 Lecturer, Govt Post Graduate College Mardan (2021)

  • 👨‍🔬 Research & Graduate Assistant, GIK Institute (2016–2021)

  • 👨‍🏫 Teaching Assistant, GIK Institute (2016–2018)

  • 👨‍🏫 Lecturer, Govt Degree College Mardan (2015–2016)

  • 🚀 Co-PI, Space and Astrophysics Research Lab (2023–Present)

🧠 Professional Development 

Dr. Abdul Kabir Khan has actively participated in academic and administrative roles alongside his teaching 📚. He has contributed to curriculum design 🛠️, managed program specifications 🧩, and supervised BS/MS/Ph.D. Self-Assessment Reports 📄 at IST. As a scholarship and social media focal person 🎯, he has enhanced outreach and student engagement 📢. He has also managed Final Year Projects 🏆, showing commitment to research mentoring. His professional growth is evident from his multiple academic appointments, conference participation 📜, and his role as a reviewer for esteemed journals 🔍. Dr. Khan remains devoted to bridging education and research excellence 🌟.

🔬 Research Focus 

Dr. Abdul Kabir Khan’s research domain is Theoretical Nuclear Astrophysics 🚀. His focus lies in studying nuclear properties under extreme conditions 🌋, radiative capture reactions, nuclear weak interaction rates, and stellar evolution 🔥. He develops and applies models like the relativistic mean field, R-matrix approach, and potential models to investigate nucleosynthesis processes (r-, s-, p-, rp-processes) 🌌. His work extends from low-energy nuclear reactions to stellar explosion mechanisms 🌟. Dr. Khan aims to bridge fundamental nuclear physics and astrophysical phenomena, thus contributing crucial insights into cosmic element formation and the behavior of matter under extreme astrophysical environments 💫.

🏅 Awards & Honors 

  • 🥇 Gold Medalist in M.S. — GIK Institute

  • 🥇 Gold Medalist in M.Sc. — Abdul Wali Khan University

  • 🥇 Gold Medalist in B.Sc. — Abdul Wali Khan University

  • 🏆 Best Final Year Project Award (2021–2022) — IST Islamabad

  • 🏆 Best Final Year Project Award (2022–2023) — IST Islamabad

  • 🏆 Best Final Year Project Award (2023–2024) — IST Islamabad

  • 🏅 Young Scientist Award (AI & Robotics) — 2023

  • 🎖️ Secured First Position in SSC (Science Group) — 2007

  • 🏅 Research Assistantship (Ph.D. and MS) — GIK Institute

  • 📜 HEC Approved PhD Supervisor — Since June 2022

  • 🧪 Reviewer for leading journals like Nuclear Physics A, Scientific Reports, Physica Scripta, Advances in Space Research, and Chinese Physics

Publication Top Notes

1. Investigation of ground state and the β-decay properties of 156−162Nd

  • Journal: Nuclear Physics A

  • Publication Date: May 2025

  • Type: Journal Article

  • DOI: 10.1016/j.nuclphysa.2025.123057

  • Source: Crossref

  • Summary: This study explores the ground-state structures and β-decay behaviors of neodymium isotopes 156−162^{156-162}Nd. It likely involves theoretical nuclear models and experimental comparisons relevant to nuclear structure physics.

2. Investigation of 14C(p, γ)15N at low energies

  • Journal: Modern Physics Letters A

  • Publication Date: January 20, 2025

  • Type: Journal Article

  • DOI: 10.1142/S0217732324502080

  • Source: Crossref

  • Summary: Focuses on the proton capture reaction 14C(p,γ)15N^{14}\text{C}(p,\gamma)^{15}\text{N} at low energy ranges, which is important for astrophysical processes like stellar nucleosynthesis and primordial element formation.

3. Arbitrary amplitude electron-acoustic solitary waves in magnetoplasma with Kaniadakis distributed electrons

  • Journal: AIP Advances

  • Publication Date: December 1, 2024

  • Type: Journal Article

  • DOI: 10.1063/5.0240816

  • Source: Crossref

  • Summary: Studies electron-acoustic solitary waves in magnetized plasma considering Kaniadakis statistics (a generalized statistical framework), possibly useful for understanding space and astrophysical plasma behaviors.

4. Effect of ions anisotropy pressure on the ion-acoustic cnoidal waves in electron–positron–ion magnetoplasmas

  • Journal: AIP Advances

  • Publication Date: September 1, 2024

  • Type: Journal Article

  • DOI: 10.1063/5.0232570

  • Source: Crossref

  • Summary: Analyzes how anisotropic ion pressures affect ion-acoustic cnoidal waves in plasmas containing electrons, positrons, and ions under magnetic fields. Cnoidal waves are periodic solutions of nonlinear wave equations.

5. Re-investigation of Neutron Capture by 84^{84}Kr and 86^{86}Kr in the s-Process Nucleosynthesis

  • Journal: Brazilian Journal of Physics

  • Publication Date: June 2024

  • Type: Journal Article

  • DOI: 10.1007/s13538-024-01455-5

  • Source: Crossref

  • Summary: Re-evaluates the neutron capture cross-sections of krypton isotopes 84^{84}Kr and 86^{86}Kr, which are important for modeling the slow neutron capture (s-process) in stellar environments.

Conclusion

Dr. Abdul Kabir Khan demonstrates the perfect blend of scientific excellence, leadership ability, innovation, and community service required for a Young Scientist Award. His contributions in theoretical nuclear astrophysics significantly advance understanding in a challenging frontier of physics. His academic record, research depth, leadership in institutional development, and recognition by the scientific community make him a highly deserving and outstanding candidate for the award.

Afsaneh Mojra | Biomedical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Afsaneh Mojra | Biomedical Engineering | Best Researcher Award

Associate Professor in Mechanical Engineering at K. N. Toosi University of Technology, Iran

Dr. Afsaneh Mojra 🎓 is an Associate Professor at K. N. Toosi University of Technology in Tehran 🇮🇷. She is internationally recognized for her innovative research 🔬 in biomechanics, cancer detection, and therapy. With a PhD from Amirkabir University of Technology and a research fellowship at TU Eindhoven 🇳🇱, she combines experimental studies 🧪, CFD modeling 💻, and mathematical simulations 📈. A passionate educator and a leader in biomedical engineering 🏥, Dr. Mojra actively collaborates with global universities 🌍 and serves as a reviewer for top scientific journals 📚. Her work is awarded and honored nationally 🏆.

Professional Profile:

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🔹 Education and Experience 

🎓 Ph.D. Biomedical Engineering – Biomechanics, Amirkabir University of Technology (GPA: 19.2/20) (2006-2011)
🌍 Research Fellowship in Biomedical Engineering – Biomechanics, Eindhoven University of Technology, Netherlands (2009-2011)
🎓 M.Sc. Biomedical Engineering – Biomechanics, Amirkabir University of Technology (GPA: 18.5/20) (2004-2006)
🎓 B.Sc. Mechanical Engineering – Solids Design, Sharif University of Technology (GPA: 15.4/20) (1999-2004)
📚 Diploma in Mathematics and Physics, National Organization for Developing Exceptional Talents (GPA: 18.8/20) (1995-1999)
👩‍🏫 Associate Professor, K. N. Toosi University of Technology (2019–Present)
👩‍🏫 Assistant Professor, K. N. Toosi University of Technology (2013–2019)

🔹 Professional Development 

Dr. Afsaneh Mojra is a highly active academic professional 🌟. She is a member of prestigious organizations such as the Iran Academy of Sciences 📖, the Iranian Society of Engineering Education 🛠️, and the Iranian Society of Mechanical Engineers ⚙️. A proud member of the National Elite Foundation of Iran 🌟, she also headed the K. N. Toosi University of Technology Publications 📰. Her international collaborations span top universities worldwide 🌍. Dr. Mojra is also a dedicated reviewer for high-impact journals 🧾, constantly contributing to the advancement of biomedical and mechanical engineering research 🧠.

🔹 Research Focus 

Dr. Afsaneh Mojra’s research focuses on the cutting edge of biomechanics 🧬 and biomedical engineering 🏥. She specializes in the mechanics of soft tissue 💪, cancer detection methods 🎯, cellular mechanics 🔬, and therapeutic innovations 💉. Her work blends experimental investigations (in vivo, in vitro, ex vivo) 🧪 with advanced computational modeling 🖥️ and CFD simulations 🌊. By integrating mathematical modeling 📈 and engineering principles 🏗️, Dr. Mojra develops pioneering approaches for early disease diagnosis and treatment. Her projects often bridge the gap between fundamental research and clinical application 🌟, advancing pre-clinical R&D globally 🌍.

🔹 Awards and Honors 

🏆 Educational Excellence Award, K. N. Toosi University of Technology (2023)
🏆 Excellence in Supervising Project Award, K. N. Toosi University of Technology (2024)
🏆 Laureate, Khwarizmi Awards (2011)
🏆 Laureate, Iranian Society of Mechanical Engineers (2016 and 2019)

Publication Top Notes

1. Development of a dual-frequency sonophoresis for enhanced skin permeability and efficient drug delivery

2. Development of a Prediction Model for Hyperthermia-Enhanced Drug Delivery using Thermosensitive Nanoparticles

3. Robust cavitation-based pumping into a capillary

  • Journal: Physics of Fluids

  • Date: December 1, 2024

  • Type: Journal Article

  • DOI: 10.1063/5.0238826

  • Source: Crossref

4. A novel passive flow control technique using circular arcs coupled with downstream splitters

5. Numerical analysis of ultrasound-mediated microbubble interactions in vascular systems: Effects on shear stress and vessel mechanics

  • Journal: Physics of Fluids

  • Date: August 1, 2024

  • Type: Journal Article

  • DOI: 10.1063/5.0213656

  • Source: Crossref

Conclusion:

Based on her strong academic record, international research impact, innovation in cancer detection methods, recognition through prestigious awards, and leadership within the academic community, Dr. Afsaneh Mojra is highly deserving of the Best Researcher Award.

She not only contributes cutting-edge research but also actively builds international scientific bridges and mentors the next generation of scientists — all critical qualities for a Best Researcher laureate.

Khushboo Singh | Engineering | Best Researcher Award

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Dr. Khushboo Singh | Engineering | Best Researcher Award

Research Fellow at University of Technology Sydney, Australia

Dr. Khushboo Singh 🎓🔬 is a Postdoctoral Research Fellow at the University of Technology Sydney 🇦🇺. With 10+ years of experience in academia, defence, and industry, she specializes in high-power millimetre-wave antennas 🚀📡. Her collaboration with the Defence Science and Technology Group (DSTG) has earned her national recognition, including the prestigious Eureka Prize 🏆. Passionate about cutting-edge tech, she also works on space, maritime, and mobile satellite communication systems 🌌🌊📶. A dedicated mentor and leader, Dr. Singh actively supports women in STEM 💪👩‍🔬 while advancing Australia’s research landscape through innovation and excellence 🌟.

Professional Profile:

Scopus

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🔹 Education & Experience 

🎓 Education:

  • 📍 Ph.D. in Electrical & Electronics Engineering | Macquarie University, Australia | 2021

  • 📍 M.Sc. (Research) in Electronics & Communication | LNMIIT, India | 2014 | CPI: 9/10

  • 📍 B.Tech in Electronics & Communication | SHIATS, India | 2012 | CPI: 9.7/10

💼 Experience:

  • 👩‍🔬 Postdoctoral Research Fellow | UTS | Nov 2023 – Present

  • 👩‍🏫 Research Associate | UTS | Nov 2020 – Oct 2023

  • 🌏 Visiting Researcher | IIT-Kanpur | Mar – May 2023

  • 🧠 Technical Researcher | Electrotechnik Pty Ltd. | Nov 2019 – Mar 2020

  • 🎓 Casual Tutor | Macquarie University | 2017, 2024

  • 👩‍🏫 Guest Lecturer | Swami Rama Himalayan University | 2015 – 2016

  • 👩‍🏫 Assistant Professor | Pratap Institute, India | 2014 – 2015

🔹 Professional Development 

Dr. Singh is a passionate leader in research and professional mentoring 🌟. She serves as a mentor in multiple STEM programs 👩‍🔬🤝 including Women in Engineering and WiSR at UTS, encouraging female participation in science and technology 👩‍💻👩‍🔬. As award chair for the 2025 Australian Microwave Symposium 🏅 and a past session organizer for major IEEE and EuCAP conferences, she actively contributes to the global antenna research community 🌐📡. She also provides project supervision, peer reviews, and guidance to students and engineers, playing a key role in shaping future tech talent and research direction 🚀🧑‍🔬.

🔹 Research Focus 

Dr. Singh’s research centers on high-power, metasurface-based millimetre-wave antennas 📡⚡ with beam-steering and in-antenna power-combining features. Her work has major applications in defence, space, maritime, and satellite communications 🛰️🚢. She collaborates with Australia’s Defence Science and Technology Group (DSTG) to design antennas suited for compact, power-constrained environments 🛠️. Her contributions enable better surveillance, radar, and communication systems in mission-critical scenarios 🎯. She is also exploring inter-satellite link antennas and intelligent surfaces for next-gen wireless communication 🌐📶, cementing her role at the intersection of advanced electromagnetics, microwave engineering, and national security defense systems 🛡️.

🔹 Awards & Honors 

🏆 Awards & Honors:

  • 🥇 Winner – 2024 ICEAA – IEEE APWC Best Paper Award

  • 🏅 Winner – 2023 Eureka Prize for Outstanding Science for Safeguarding Australia

  • 👏 Finalist – 2025 AUS SPACE Academic Research Team of the Year

  • 👩‍🚀 Finalist – 2024 ADM Women in Defence (R&D Category)

  • 🧪 Finalist – 2022 UTS Vice-Chancellor’s Award for Research Excellence

  • ⭐ Top 200 Reviewer – IEEE Transactions on Antennas & Propagation (2023)

  • 🥇 Winner – 2019 IEEE NSW Outstanding Student Volunteer

  • 💰 Winner – CHOOSEMATHS Grant by AMSI & BHP Foundation (2017)

  • 🎓 Scholarships – iRTP (2017–2020), LNMIIT Research Stipend (2012–2014)

Publication Top Notes

📘 1. Controlling the Most Significant Grating Lobes in Two-Dimensional Beam-Steering Systems with Phase-Gradient Metasurfaces

  • Authors: K. Singh, M.U. Afzal, M. Kovaleva, K.P. Esselle

  • Journal: IEEE Transactions on Antennas and Propagation

  • Volume/Issue: 68(3), Pages 1389–1401

  • Year: 2019

  • Citations: 86

  • DOI: 10.1109/TAP.2019.2940403

  • Highlights:

    • Introduced techniques to control dominant grating lobes in 2D beam-steering.

    • Employed phase-gradient metasurfaces to steer beams without complex feed networks.

    • Achieved low sidelobe levels and improved directivity.

    • Combined analytical modeling with full-wave electromagnetic simulations.

📗 2. Designing Efficient Phase-Gradient Metasurfaces for Near-Field Meta-Steering Systems

  • Authors: K. Singh, M.U. Afzal, K.P. Esselle

  • Journal: IEEE Access

  • Volume: 9, Pages 109080–109093

  • Year: 2021

  • Citations: 34

  • DOI: 10.1109/ACCESS.2021.3102204

  • Highlights:

    • Focused on near-field applications such as wireless power transfer.

    • Proposed a method to optimize phase response for compact metasurfaces.

    • Improved phase accuracy and minimized aperture size.

    • Demonstrated via simulations and measured prototypes.

📙 3. State-of-the-Art Passive Beam-Steering Antenna Technologies: Challenges and Capabilities

  • Authors: F. Ahmed, K. Singh, K.P. Esselle

  • Journal: IEEE Access

  • Volume: 11, Pages 69101–69116

  • Year: 2023

  • Citations: 28

  • DOI: 10.1109/ACCESS.2023.3285260

  • Highlights:

    • Comprehensive review of passive beam-steering technologies.

    • Covers reconfigurable metasurfaces, mechanical rotation, and tunable materials.

    • Discusses energy efficiency, low-cost manufacturing, and practical limitations.

    • Key insight for researchers targeting 6G, IoT, and wearable tech.

📕 4. Evaluation Planning for Artificial Intelligence-Based Industry 6.0 Metaverse Integration

  • Author: K. Singh

  • Conference: Intelligent Human Systems Integration (IHSI 2023)

  • Year: 2023

  • Citations: 27

  • DOI: 10.1007/978-3-031-28032-0_40

  • Highlights:

    • Discusses AI-driven frameworks for integrating Industry 6.0 with the metaverse.

    • Addresses human-system interaction, digital twins, and smart automation.

    • Proposes an evaluation roadmap for real-time metaverse-industrial synergy.

    • Useful for future cyber-physical systems and smart manufacturing.

📒 5. Accurate Optimization Technique for Phase-Gradient Metasurfaces Used in Compact Near-Field Meta-Steering Systems

  • Authors: K. Singh, M.U. Afzal, K.P. Esselle

  • Journal: Scientific Reports (Nature Publishing Group)

  • Volume: 12, Article 4118

  • Year: 2022

  • Citations: 20

  • DOI: 10.1038/s41598-022-08057-8

  • Highlights:

    • Developed a precise numerical optimization technique for metasurface design.

    • Reduced phase errors, enabling high-accuracy near-field beam control.

    • Achieved better performance in compact and portable systems.

    • Practical for radar, medical imaging, and wireless power applications.

Conclusion

Dr. Khushboo Singh exemplifies the qualities of an outstanding researcher — innovative, impactful, and committed to scientific excellence. Her exceptional track record in antenna technology for defense and space applications, combined with her leadership in mentoring and research supervision, makes her a standout candidate for the Best Researcher Award. Her research is not only scientifically robust but also socially and nationally significant, particularly in safeguarding technological frontiers of Australia.

She is a role model for aspiring researchers, especially women in STEM, and a worthy recipient of such an honor.

Xiaohu Mo | Charmonium Physics | Best Researcher Award

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Prof. Xiaohu Mo | Charmonium Physics | Best Researcher Award

Professor at Institute of High Energy Physics, Chinese Academy of Sciences, China

Mo Xiaohu (born 1969) is a renowned Chinese physicist specializing in ⚛️ particle and nuclear physics. He earned his B.Sc. from Beijing Institute of Technology (1992 🎓), M.Sc. from Tsinghua University (1997 📘), and Ph.D. from the Institute of High Energy Physics (2001 📕). He completed his postdoctoral research at the China Center of Advanced Science and Technology 🌐. Since 2010, he has been a professor at the Institute of High Energy Physics. His work in charmonium physics, including detector development and τ-mass scan optimization, has advanced experimental precision at BEPCII/BESIII 🔬. He has published over 50 influential papers 📄.

Professional Profile:

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🔹 Education and Experience 

  • 🎓 B.Sc. – Beijing Institute of Technology (1992)

  • 📘 M.Sc. – Tsinghua University (1997)

  • 📕 Ph.D. – Institute of High Energy Physics (2001)

  • 🧪 Postdoc – China Center of Advanced Science and Technology (2001–2003)

  • 👨‍🏫 Professor – Institute of High Energy Physics (since 2010)

🔹 Professional Development 

Mo Xiaohu has played a pivotal role in enhancing the precision of experimental physics in China 🔬. He led the construction of a high-accuracy beam energy measurement system at BEPCII ⚙️, which significantly improved the detector and accelerator performance. His creative input in τ-mass scan strategy through the sampling and searching method 📊 led to optimized data collection techniques. Alongside Profs. Yuan Chengzheng and Wang Ping, he introduced the theory of a universal large phase between strong and electromagnetic interactions 🌌. His expertise spans data analysis, phenomenology, and hardware-software integration, contributing to both theoretical insight and experimental innovation 🧠🔧.

🔹 Research Focus 

Mo Xiaohu’s research focus lies in the domain of charmonium physics within particle and nuclear physics 🧲⚛️. He has extensive experience in both theoretical phenomenology and practical data analysis, making significant contributions to understanding the interplay of strong and electromagnetic forces in hadron structures 🔍. His work aims to uncover fundamental characteristics of quark interactions and quantum states using advanced collider experiments like BEPCII/BESIII 🚀. By integrating experimental hardware development with analytical models, he enhances the precision and scope of measurements in subatomic particle studies, helping push the boundaries of modern physics exploration 📡📈.

🔹 Awards and Honors 

  • 🏆 Beijing Science and Technology Prize (Second-Class) – 2012

  • 📄 Published 50+ research papers in domestic and international journals

  • 🔧 Led construction of high-accuracy beam energy measurement system at BEPCII

  • 💡 Co-proposed conjecture on universal large phase in charmonium physics

Publication Top Notes

1. Generic Symmetry Analysis of Charmonium Decay

  • Journal: Physics Letters B

  • Date: February 2025

  • Volume: 861

  • Article ID: 139287

  • DOI: 10.1016/j.physletb.2025.139287

  • Highlights: Provides a symmetry-based framework using SU(3) flavor analysis for charmonium decays, including symmetry breaking effects. Offers a universal parametrization scheme for binary, ternary, and radiative decay channels.

2. Symmetry Analysis Involving Meson Mixing for Charmonium Decay

  • Journal: Physical Review D

  • Date: February 28, 2024

  • Volume: 109

  • Issue: 3

  • Article ID: 036036

  • DOI: 10.1103/PhysRevD.109.036036

  • Highlights: Examines the impact of meson mixing, particularly η-η′, on charmonium decay modes. Discusses flavor symmetry breaking and interference patterns in decay amplitudes.

3. Symmetry Analysis of Charmonium Two-Body Decay

  • Journal: Physical Review D

  • Date: May 8, 2023

  • Volume: 107

  • Issue: 9

  • Article ID: 094009

  • DOI: 10.1103/PhysRevD.107.094009

  • Highlights: Focuses on two-body final states in charmonium decays. Derives amplitude relations from flavor SU(3) symmetry and investigates isospin and G-parity constraints.

4. Symmetry Analysis of Charmonium Decays to Two-Baryon Final State

  • Journal: Physics Letters B

  • Date: March 2022

  • Volume: 827

  • Article ID: 136927

  • DOI: 10.1016/j.physletb.2022.136927

  • Highlights: Analyzes decay of charmonium into baryon-antibaryon pairs using SU(3) symmetry and Wigner-Eckart theorem. Applies results to decay modes like J/ψ→ppˉJ/\psi \to p\bar{p}, ΛΛˉ\Lambda\bar{\Lambda}, etc.

5. Hadronic Cross Section of e+e−e^+e^- Annihilation at Bottomonium Energy Region

  • Journal: Chinese Physics C

  • Date: August 2020

  • Volume: 44

  • Issue: 8

  • Article ID: 083001

  • DOI: 10.1088/1674-1137/44/8/083001

  • Institution: Institute of High Energy Physics, Chinese Academy of Sciences

  • Highlights: Presents measurements of hadronic cross sections at bottomonium resonances. Useful for precision tests of QCD and extracting resonance parameters.

Conclusion:

Prof. Mo Xiaohu clearly demonstrates all the hallmarks of a Best Researcher Award recipient: originality in theoretical physics, hands-on impact in experimental system construction, innovation in methodology, and a consistent, high-quality publication record. His work has not only advanced knowledge in charmonium and τ physics but also contributed to the operational strength of China’s major experimental facilities.

Jeongho Ahn | Applied Mathematics | Best Researcher Award

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Dr. Jeongho Ahn | Applied Mathematics | Best Researcher Award

Full Professor at Arkansas State University, United States

Dr. Jeongho Ahn is a full professor in the Department of Mathematics and Statistics at Arkansas State University (ASU) since Fall 2021. He has been part of ASU since 2008, serving in various roles, including associate and assistant professor. Dr. Ahn earned his Ph.D. in Mathematics from The University of Iowa in 2003. His research focuses on applied mathematics, numerical analysis, partial differential equations, and dynamic contact problems. He is known for his work on finite element methods and complementarity problems. Dr. Ahn is dedicated to teaching and research with a strong commitment to the advancement of mathematics. 📚🧑‍🏫🔢

Professional Profile:

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Education and Experience

  • Ph.D. in Mathematics from The University of Iowa, USA (2003) 🎓

  • M.S. in Mathematics from Kyung Hee University, South Korea (1991) 🇰🇷

  • B.S. in Mathematics from Kyung Hee University, South Korea (1989) 🇰🇷

Teaching Experience:

  • Full Professor, Department of Mathematics and Statistics, ASU (2021–Present) 📚

  • Associate Professor, ASU (2015–2021) 🧑‍🏫

  • Assistant Professor, ASU (2009–2015) 🔢

  • Visiting Assistant Professor, ASU (2008–2009) 🌍

Professional Development 

Dr. Jeongho Ahn has continuously advanced his academic and professional career, establishing himself as a leader in applied mathematics. With years of experience, his teaching spans topics such as algebra, calculus, differential equations, and numerical analysis. He has worked extensively on research in dynamic contact problems and finite element methods, significantly contributing to the development of mathematical theories. Dr. Ahn remains engaged in further professional development through his active research in numerical methods, participating in conferences and workshops to share insights and innovations in applied mathematics. His work fosters collaboration in mathematical and engineering fields. 🏫🔬👨‍🔬

Research Focus 

Dr. Jeongho Ahn’s research primarily revolves around applied mathematics, where he explores numerical analysis, partial differential equations (PDEs), and dynamic contact problems. His expertise includes the development of finite element methods used to solve complex equations in various applications. He works on complementarity problems and differential variational inequalities, addressing real-world challenges in engineering, physics, and economics. By advancing computational techniques, Dr. Ahn aims to improve mathematical models in diverse fields, making significant strides in mathematical modeling and problem-solving methodologies that have broad implications in science and technology. 📊⚙️💻🧮

Awards and Honors

  • Full Professor, Department of Mathematics and Statistics, ASU (2021–Present) 🏅

  • Associate Professor, ASU (2015–2021) 🌟

  • Assistant Professor, ASU (2009–2015) 🎓

Publication Top Notes

  • Detachment Waves in Frictional Contact: Analysis and Simulations of a Two-Mass System

    • Citation: Ahn, J. (2024). Detachment waves in frictional contact: analysis and simulations of a two-mass system. Nonsmooth Problems with Publications in Mathematics, Banach Center Publications.

    • Year: 2024

    • Details: This paper likely explores detachment waves in frictional contact between two masses. It may involve the modeling and simulation of how one mass separates from another due to dynamic forces and friction.

  • A Generalized Duffing Equation with the Coulomb’s Friction Law and Signorini-Type Contact Conditions

    • Citation: Ahn, J. (2023). A generalized Duffing equation with the Coulomb’s friction law and Signorini-type contact conditions. Nonlinear Analysis: Real World Applications.

    • Year: 2023

    • Details: This paper generalizes the Duffing oscillator equation by including Coulomb friction and Signorini contact conditions, both of which introduce nonsmooth behaviors into the system. It explores how these factors influence nonlinear oscillations and stability.

  • A Spring-Beam System with Signorini’s Condition and the Normal Compliance Condition

    • Citation: Ahn, J. (2023). A spring-beam system with Signorini’s condition and the normal compliance condition. International Journal of Numerical Analysis and Modeling.

    • Year: 2023

    • Details: This study investigates a spring-beam system under Signorini’s non-penetration condition and normal compliance, examining how these boundary conditions affect the system’s deformation and response to applied forces.

  • Nonlinear Thermoviscoelastic Timoshenko Beams with Dynamic Frictional Contact

    • Citation: Ahn, J. (2022). Nonlinear thermoviscoelastic Timoshenko beams with dynamic frictional contact. Applied Analysis.

    • Year: 2022

    • Details: The paper addresses Timoshenko beams that exhibit nonlinear thermoviscoelastic behavior and experience dynamic frictional contact. The study likely combines thermal, mechanical, and viscoelastic effects to model beam deformations under various dynamic conditions.

  • A Rod-Beam System with Dynamic Contact and Thermal Exchange Condition

    • Citation: Ahn, J. (2021). A rod-beam system with dynamic contact and thermal exchange condition. Applied Mathematics and Computation.

    • Year: 2021

    • Details: This paper discusses the interaction between a rod and a beam, incorporating dynamic contact and thermal exchange conditions. The study likely explores how thermal effects influence the mechanical response of the system when subject to contact forces.

Conclusion 

Dr. Jeongho Ahn’s career is defined by a remarkable blend of academic leadership, cutting-edge research, and teaching excellence. His work in numerical methods, finite element analysis, and applied mathematics has had a broad impact across multiple domains, including engineering, materials science, and economics. He is not only advancing mathematical theory but also developing practical tools that are shaping the future of these fields.

Given his long-standing academic contributions, innovative research, and commitment to excellence in education, Dr. Jeongho Ahn is exceptionally well-qualified for the Best Researcher Award. His work continues to influence both the academic world and the practical, real-world application of mathematical methods, marking him as a leading figure in his field.

Ehsan Adibnia | Engineering | Best Academic Researcher Award

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Dr. Ehsan Adibnia | Engineering | Best Academic Researcher Award

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

Dr. Ehsan Adibnia 🎓 is a dedicated academic researcher in electrical engineering ⚡, specializing in cutting-edge fields such as artificial intelligence 🤖, machine learning 📊, deep learning 🧠, nanophotonics 💡, optics 🔬, and plasmonics ✨. He is proficient in Python 🐍, MATLAB 🧮, and Visual Basic, and utilizes simulation tools like Lumerical 📈, COMSOL 🧪, and RSoft 🔧 to drive innovative research. Fluent in English 🇬🇧 and Persian 🇮🇷, Dr. Adibnia contributes to academic conferences and peer-reviewed journals 📚. He is currently pursuing his Ph.D. and actively engaged in interdisciplinary scientific exploration 🌐.

Professional Profile:

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🔹 Education & Experience 

🎓 Ph.D. in Electrical Engineering – University of Sistan and Baluchestan, Zahedan, Iran (Expected 2025)
🎓 B.S. in Electrical Engineering – University of Sistan and Baluchestan, Zahedan, Iran (2014)
🧑‍💼 Executive Committee Member – 27th Iranian Conference on Optics and Photonics & 13th Conference on Photonic Engineering and Technology
🖋️ Assistant Editor – International Journal (Name not specified)
🔍 Researcher – Actively engaged in interdisciplinary AI & photonics research projects

🔹 Professional Development 

Dr. Ehsan Adibnia continually enhances his professional growth through active participation in conferences 🧑‍🏫, committee leadership 🗂️, and editorial work 📑. He develops algorithms and conducts simulations using advanced tools such as Lumerical 🔬, COMSOL 🧪, and RSoft 💻. His expertise in AI and photonics drives innovative research and collaboration 🌍. He also hones his programming skills in MATLAB 🧮, Python 🐍, and VBA 🧠, ensuring precision in modeling and data analysis. His hands-on knowledge in PLC systems 🤖 and industrial automation makes him versatile across both academic and applied research settings 🏭.

🔹 Research Focus 

Dr. Adibnia’s research focuses on the fusion of artificial intelligence 🤖 and photonics 💡. His work explores machine learning 📊, deep learning 🧠, nanophotonics 🔬, plasmonics ✨, optical switching 🔁, and slow light 🐢 technologies. He is particularly interested in leveraging these technologies in biosensors 🧫, metamaterials 🔷, and quantum optics ⚛️. Through simulation and algorithm development, he aims to optimize performance in optoelectronic and photonic systems 🔍. His interdisciplinary research bridges electrical engineering with physics and AI, creating advanced systems for diagnostics, sensing, and smart environments 🌐.

🔹 Awards & Honors 

🏅 Executive Committee Role – 27th Iranian Conference on Optics and Photonics
🏅 Executive Committee Role – 13th Iranian Conference on Photonic Engineering and Technology
📜 Assistant Editor – International scientific journal (name not specified)
🧠 Scopus-indexed Researcher – Scopus ID: 58485414000

Publication Top Notes

🔹 High-performance and compact photonic crystal channel drop filter using P-shaped ring resonator

  • Journal: Results in Optics

  • Date: Dec 2025

  • DOI: 10.1016/j.rio.2025.100817

  • Summary: Proposes a novel P-shaped ring resonator design for channel drop filters in photonic crystal structures. Focuses on achieving high performance in terms of compactness and spectral selectivity for integrated optical circuits.

🔹 Optimizing Few-Mode Erbium-Doped Fiber Amplifiers for high-capacity optical networks using a multi-objective optimization algorithm

  • Journal: Optical Fiber Technology

  • Date: Sep 2025

  • DOI: 10.1016/j.yofte.2025.104186

  • Summary: Introduces a multi-objective optimization approach for designing few-mode EDFAs, targeting performance improvements in next-gen high-capacity optical networks.

🔹 Inverse design of octagonal plasmonic structure for switching using deep learning

  • Journal: Results in Physics

  • Date: Apr 2025

  • DOI: 10.1016/j.rinp.2025.108197

  • Summary: Utilizes deep learning for the inverse design of an octagonal plasmonic structure used in optical switching, demonstrating enhanced precision and compact design capability.

🔹 Chirped apodized fiber Bragg gratings inverse design via deep learning

  • Journal: Optics & Laser Technology

  • Date: 2025

  • DOI: 10.1016/J.OPTLASTEC.2024.111766

  • WOS UID: WOS:001311493000001

  • Summary: Applies deep learning to the inverse design of chirped apodized fiber Bragg gratings, optimizing the spectral characteristics for filtering and sensing applications.

🔹 Inverse Design of FBG-Based Optical Filters Using Deep Learning: A Hybrid CNN-MLP Approach

  • Journal: Journal of Lightwave Technology

  • Date: 2025

  • DOI: 10.1109/JLT.2025.3534275

  • Summary: Proposes a hybrid CNN-MLP architecture to design fiber Bragg grating (FBG) optical filters, improving accuracy and speed in the inverse design process using deep learning techniques.

Conclusion

Dr. Adibnia is still in the process of completing his Ph.D., his broad technical expertise, multidisciplinary research focus, early academic leadership roles, and active participation in both national and international platforms make him a highly promising candidate for the Best Academic Researcher Award in the early-career researcher or emerging researcher category.