Assist.Prof.Dr Reem Aljuaidi | Computer vision | Best Researcher Award

Assist.Prof.Dr Reem Aljuaidi |Computer vision|Best Researcher Award

Professor,Prince Sattam bin abdalaziz university,Saudi Arabia

Dr. Reem Aljuaidi ๐Ÿ‘ฉโ€๐Ÿซ is an accomplished Assistant Professor in the Information Systems Department at Prince Sattam bin Abdulaziz University, Saudi Arabia ๐Ÿ‡ธ๐Ÿ‡ฆ. With a strong foundation in computer science and a specialization in computer vision, big data, and data analytics ๐Ÿ“Š๐Ÿง , she has contributed to cutting-edge research in visual place recognition and intelligent geolocation systems. Dr. Aljuaidi earned her PhD from Trinity College Dublin ๐Ÿ‡ฎ๐Ÿ‡ช and has since become a leading figure in Saudi academia, recognized for her impactful publications and conference presence ๐ŸŽค๐Ÿ“š. Fluent in Arabic and English ๐Ÿ‡ธ๐Ÿ‡ฆ๐Ÿ‡บ๐Ÿ‡ธ, she bridges local innovation with global insight. In addition to her academic work, she serves as a professional trainer and workshop speaker, contributing to the digital transformation and educational empowerment of the region ๐Ÿ’ก๐ŸŽ“. Her scholarly excellence and innovative spirit have earned her multiple awards, highlighting her role as a rising star in AI-driven research ๐ŸŒŸ๐Ÿค–.

Professional Profile

SCOPUS

Education & Experience

Dr. Aljuaidiโ€™s educational journey showcases her commitment to excellence ๐Ÿ“˜๐ŸŽ“. She completed her PhD in Computer Science at Trinity College Dublin (2017โ€“2022) ๐Ÿ‡ฎ๐Ÿ‡ช, preceded by a Masterโ€™s in Data Analytics from the National University of Ireland, Galway (2016โ€“2017) ๐Ÿ“ˆ. Her academic path began with a Bachelor’s degree from King Saud University (2005โ€“2009) in Saudi Arabia ๐Ÿ‡ธ๐Ÿ‡ฆ, where she laid the groundwork for a remarkable research career. She also enhanced her academic English skills at Washington State University, USA (2014โ€“2015) ๐Ÿ‡บ๐Ÿ‡ธ. Her professional experience includes serving as an Assistant Professor (2023โ€“present) and former Instructor (2010โ€“2014) at Prince Sattam bin Abdulaziz University ๐Ÿซ. She is also a certified trainer with Jadeer International Education and Training Company (2023โ€“present), where she fosters future tech leaders ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ“š. This blend of academic and applied experience defines her dynamic contribution to higher education and industry-oriented learning ๐Ÿงฉ๐Ÿš€.

Professional Development

Dr. Reem Aljuaidi has actively participated in professional development initiatives that reflect her evolving impact in both academic and technological domains ๐Ÿš€๐Ÿ“–. She was a speaker at the Women in Data Science workshop in Riyadh (2024) ๐Ÿ‘ฉโ€๐Ÿ’ป, and also presented at the International Operatenance Conference in Arab Countries (2022) ๐ŸŒ. She participated in the Library Hackathon Challenge hosted by the Libraries Authority (2024) ๐Ÿ’ป๐Ÿ“š, showcasing her creative data problem-solving skills. Her research proposal was selected for the Technology Foresight and Digital Economy Research Award for GCC countries (2024) ๐ŸŒ๐Ÿ†. As a commercial trainer, she contributes to real-world digital skill advancement, combining research insights with hands-on knowledge transfer ๐Ÿ› ๏ธ๐ŸŽ™๏ธ. Her proactive learning journey highlights her role as not only an academic but also a mentor, innovator, and community advocate in the digital transformation space ๐Ÿ’ผ๐ŸŽฏ. Dr. Aljuaidi continuously embraces learning and leadership in every forum she enters ๐Ÿ“Š๐Ÿง .

Research Focus

Dr. Aljuaidiโ€™s research primarily revolves around Computer Vision ๐Ÿ‘๏ธ๐Ÿ’ป, Big Data Analytics ๐Ÿ“Š, and Data-Driven AI Systems ๐Ÿค–. Her expertise lies in designing intelligent models for Visual Place Recognition and Geolocation Systems, which involve hybrid feature prediction, image processing, and machine learning pipelines ๐Ÿ“ท๐Ÿ“ก. She has published research on using Google Street View and unique feature extraction for efficient visual retrieval, highlighting her contribution to smarter, location-aware AI systems ๐Ÿง ๐ŸŒ. Through her interdisciplinary approach, she integrates computer vision algorithms with real-world applications such as urban mapping, autonomous systems, and digital infrastructure planning ๐Ÿ™๏ธ๐Ÿš—. Her work aligns with global trends in AI for Smart Cities and Data-Enhanced Automation, making her a pivotal figure in Saudi Arabiaโ€™s tech-driven future ๐Ÿ‡ธ๐Ÿ‡ฆ๐Ÿ“ˆ. Dr. Aljuaidiโ€™s research continues to impact conferences and journals, bridging theory and practice for both academic advancement and applied innovation ๐Ÿ“š๐Ÿ’ผ.

Awards & Honors

Dr. Reem Aljuaidi has earned several prestigious accolades that underline her innovation and scholarly impact ๐ŸŒŸ๐ŸŽ“. She won the Best Research Paper award at the 30th Irish Signals and Systems Conference (ISSC) in 2019 ๐Ÿ†๐Ÿ“„, a testament to her excellence in computer vision research. In 2024, she was honored with the Best Idea in the Social Track at the Family Affairs Council Competition for her forward-thinking digital concepts ๐Ÿ‘ช๐Ÿ’ก. Her proposal was accepted into the Technology Foresight and Digital Economy Research Award program for GCC countries (2024), further confirming her as a regional research leader ๐Ÿ“ˆ๐Ÿ”ฌ. She was also a featured speaker at major events including Women in Data Science Riyadh and the International Operatenance Conference ๐ŸŒ๐ŸŽค. These accolades reflect not just academic achievement, but her contributions to digital empowerment and societal innovation across multiple platforms ๐Ÿง ๐Ÿš€.

Publication Top Notes

1. Mini-batch VLAD for Visual Place Retrieval

Authors: R. Aljuaidi, J. Su, R. Dahyot
Conference: 30th Irish Signals and Systems Conference (ISSC), 2019
Pages: 1โ€“6
Summary:
This paper introduces an improved visual place retrieval method using mini-batch VLAD (Vector of Locally Aggregated Descriptors), which enhances scalability and computational efficiency. By optimizing feature aggregation in mini-batches, the model improves accuracy in identifying previously visited places, a critical task in robotics and autonomous navigation ๐Ÿ—บ๏ธ๐Ÿค–.

2. An Efficient Visual Place Recognition System by Predicting Unique Features

Authors: R. Aljuaidi, M. Manzke
Conference: 5th International Conference on Computer Science and Software Engineering (ICCSSE), 2022
Summary:
This paper presents a novel method to predict unique image features for more efficient place recognition systems. By identifying and focusing on distinctive features, the proposed system significantly enhances recognition speed and precision, especially in large-scale environments. Applications include autonomous driving, AR navigation, and smart surveillance ๐Ÿš—๐Ÿ”.

3. Predicting Good Features Using a Hybrid Feature for Visual Geolocation System

Authors: R. Aljuaidi, M. Manzke
Conference: 14th International Conference on Digital Image Processing (ICDIP), 2022
Summary:
This research combines multiple feature extraction techniques into a hybrid model to improve the reliability of visual geolocation. The paper demonstrates how the fusion of texture, color, and shape descriptors can produce higher location recognition accuracy, aiding in urban planning and smart tourism systems ๐Ÿ™๏ธ๐Ÿ“ท.

4. Efficient Visual Place Retrieval System Using Google Street View

Authors: R. Aljuaidi, R. Dahyot
Conference: Irish Machine Vision and Image Processing Conference (IMVIP), 2020
Summary:
In this study, the authors leverage publicly available Google Street View imagery to train and test an effective place retrieval system. The model utilizes visual cues from street-level data, providing practical applications in geolocation services, mapping, and augmented reality navigation ๐Ÿ—บ๏ธ๐Ÿ“ธ.

Conclusion

Dr. Reem Aljuaidi exemplifies what a Best Researcher Award representsโ€”originality, depth, and practical impact in research. Her consistent contributions to computer science, academic leadership, and innovation in AI-driven solutions for geolocation and visual analysis clearly position her as a leading researcher and an ideal recipient for this honor.

Assoc.Prof. Dr Juan Li | Nanotechnology | Best Researcher Award

Assoc.Prof.Dr Juan Li |Nanotechnology| Best Researcher Award

Docter,Institute of High Energy Physics ,Chinese Academy of Sciences , China

Dr. Juan Li ๐Ÿ‘ฉโ€๐Ÿ”ฌ is an Associate Professor and Principal Investigator at the Institute of High Energy Physics (IHEP), Chinese Academy of Sciences ๐Ÿ›๏ธ. With a Ph.D. in Applied Chemistry ๐ŸŽ“, she has emerged as a leader in nanobiotechnology, focusing on the biosafety and biomedical applications of nanomaterials ๐Ÿ”ฌ. She actively contributes to national and international research projects ๐ŸŒ and serves as Editor-in-Chief of Diseases & Research ๐Ÿ“˜. Passionate about innovation in nano-enabled cancer therapy and drug delivery ๐Ÿ’Š, Dr. Li has earned a stellar reputation for her interdisciplinary work in nanomedicine and toxicology ๐Ÿงช.

Professional Profile:

ORCID

Education & Experience :

Dr. Li earned her Ph.D. in Applied Chemistry from the Beijing Institute of Technology (2009) ๐ŸŽ“, followed by postdoctoral research at IHEP, CAS (2009โ€“2011) ๐Ÿงช. In 2019, she was a visiting scholar at UCLA ๐ŸŒ. Now a tenured Associate Professor at IHEP ๐Ÿ‘ฉโ€๐Ÿซ, she leads critical nanomedicine projects and serves in several scientific societies ๐Ÿงซ. Her broad academic journey combines chemistry, physics, and biomedical research, giving her a unique edge in multidisciplinary science. Dr. Li is also involved in national-level grant projects and international collaboration ๐Ÿค, further solidifying her global impact.

Professional Development :

Dr. Juan Li has cultivated an exceptional academic profile through her roles as a Principal Investigator, council member, and scientific editor ๐Ÿง ๐Ÿ“š. Her leadership at the Key Laboratory of Nanobiological Effects and Safety, CAS ensures she stays at the forefront of nanomedicine innovation ๐Ÿงฌ. She plays a critical role in national funding programs (NSFC, CAS Talent Program) ๐Ÿ’ผ and provincial initiatives for smart drug delivery technologies ๐Ÿ’Š. A trusted expert in toxicity, nanorobotics, and imaging, Dr. Li frequently collaborates across disciplines, mentors young researchers ๐Ÿ‘ฉโ€๐Ÿซ, and champions women in STEM ๐Ÿšบ.

Research Focus :

Dr. Liโ€™s research lies at the intersection of nanobiotechnology, biomedicine, and toxicology ๐Ÿงช. Her work addresses nanoparticle biosafety, targeted drug delivery, and smart nanorobotics for cancer treatment ๐ŸŽฏ. She develops nano-enabled chemo-radio-immunotherapies and explores synchrotron radiation imaging for real-time tracking of nano-drugs ๐Ÿ”ฌ๐Ÿงฒ. A pioneer in surface modification of nano-carriers, her lab investigates their biological effects and preclinical potential ๐Ÿงซ. Her contributions are redefining the safety standards and innovation landscape of nanomedicine ๐Ÿง . Her research falls under nanomedicine, oncology, biomedical imaging, and advanced drug delivery systems ๐Ÿš€.

Awards & Honors:

Dr. Li is the Editor-in-Chief of Diseases & Research ๐Ÿ“˜ and holds leadership roles in national research organizations, including the Nano-Oncology Association and Micro/Nano Robotics Society ๐Ÿงฌ๐Ÿค–. She has secured National Natural Science Foundation of China (NSFC) grants and is part of several national R&D programs ๐ŸŽ“๐Ÿ’ผ. Her leadership in international collaboration under the CAS International Talent Program reflects her global recognition ๐ŸŒ. Though individual awards arenโ€™t listed, her appointments and competitive grant success stand as testimony to her scientific excellence, innovation, and lasting contributions to public health and nanomedicine ๐Ÿ….

Publication Top Notes:

1. A bionic palladium metalโ€“organic framework based on a fluorescence sensing enhancement mechanism for sensitive detection of phorate
  • Journal: Nanoscale (2025)
  • DOI: 10.1039/D4NR03779K
  • Authors: Li,โ€ฏMengyao; Wang,โ€ฏZhijie; Tang,โ€ฏHongyu; Yang,โ€ฏJingru; Luo,โ€ฏXianwei; Tian,โ€ฏYoujia; Yang,โ€ฏMingxin; Jiang,โ€ฏJinhong; Wang,โ€ฏMeng; Zheng,โ€ฏLingna; etโ€ฏal.
  • Citations: Not yet indexed
  • Key Points:
    โ€ข Developed a bionic Pd-MOF with enhanced fluorescence sensing capability
    โ€ข Achieved ultra-sensitive detection of the pesticide phorate
    โ€ข Demonstrates strong potential for environmental monitoring and food safety
2. Magnetically Driven Bionic Nanorobots Enhance Chemotherapeutic Effectiveness and Tumor Immune Response via Precise Targeting
  • Journal: The Innovation (2025)
  • DOI: 10.1016/J.XINN.2024.100777
  • Authors: Wang,โ€ฏZhijie; Wang,โ€ฏChutian; Ji,โ€ฏYing; Yang,โ€ฏMingxin; Li,โ€ฏChan; Li,โ€ฏMengyao; Yang,โ€ฏJingru; Tang,โ€ฏHongyu; Luo,โ€ฏXianwei; Hao,โ€ฏHaoyang; etโ€ฏal.
  • Citations: Not yet indexed
  • Key Points:
    โ€ข Engineered nanorobots guided via magnetic fields for targeted chemotherapy
    โ€ข Enhanced immune response and anti-tumor efficacy in preclinical models
    โ€ข Featured in the flagship issue (IF โ‰ˆโ€ฏ33.2)
3. Nanoparticles Drug Delivery System in Targeted Therapy of Hepatocellular Carcinoma
  • Journal: Diseases & Research (2025)
  • DOI: 10.54457/dr.202402007
  • Authors: Xinyuanโ€ฏKong; Ziruiโ€ฏZhang; Hongyuโ€ฏTang; Yihangโ€ฏChen; Juanโ€ฏLi; etโ€ฏal.
  • Citations: Not yet indexed
  • Key Points:
    โ€ข Reviews nanoparticle-based targeted delivery systems for liver cancer
    โ€ข Highlights smart carrier design and tumor targeting strategies
    โ€ข Emphasizes biocompatibility and clinical translation potentials
4. Development of Immune-Regulatory Pseudo-Protein-Coated Iron Oxide Nanoparticles for Enhanced Treatment of Triple-Negative Breast Tumor
  • Journal: Nanomaterials (30 June 2025)
  • DOI: 10.3390/nano15131006
  • Authors: Yingโ€ฏJi; Juanโ€ฏLi; Liโ€ฏMa; Zhijieโ€ฏWang; Bochuโ€ฏDu; Hiuโ€ฏYeeโ€ฏKwan; Zhaoxiangโ€ฏBian; Chihโ€‘Changโ€ฏChu
  • Citations: Not yet indexed
  • Key Points:
    โ€ข Created pseudo-protein-coated iron oxide nanoparticles to regulate immune activity
    โ€ข Demonstrated improved tumor targeting and therapeutic response in TNBC models
    โ€ข Merges nanotechnology, drug delivery, and immunotherapy
5. A novel shockwave-driven nanomotor composite microneedle transdermal delivery system for the localized treatment of osteoporosis: a basic science study
  • Journal: International Journal of Surgery (2024)
  • DOI: 10.1097/JS9.0000000000001280
  • Authors: Huโ€ฏFan; Liangโ€ฏHaojun; Xieโ€ฏJing; Yuanโ€ฏMeng; Huangโ€ฏWanxia; Leiโ€ฏYinze; Liโ€ฏHao; Lvโ€ฏLinwen; Liuโ€ฏQiuyang; Zhangโ€ฏJunhui; etโ€ฏal.
  • Citations: Not yet indexed
  • Key Points:
    โ€ข Innovated a shockwave-activated nanomotor-microneedle device for bone healing
    โ€ข Achieved localized, controlled delivery to improve osteogenesis
    โ€ข Presents a new paradigm in transdermal drug delivery technology.

Conclusion:

Dr. Juan Liโ€™s groundbreaking contributions to nano-enabled cancer therapies, smart delivery systems, and her leadership in biomedical research distinctly qualify her for the Best Researcher Award. Her scientific rigor, translational focus, and impactful innovation reflect the core spirit of this prestigious recognition.

Mrs.Jiawei Yu |Electrical Engineering| Best Researcher Award

Mrs.Jiawei Yu |Electrical Engineering| Best Researcher

Researcher , Huazhong University of Science and Technology , China

Jiawei Yu ๐Ÿ‘จโ€๐Ÿ”ฌ, born in June 1996 ๐ŸŽ‚, is a dedicated researcher at the Electric Power Research Institute โšก in Guangzhou, China ๐Ÿ‡จ๐Ÿ‡ณ. With a strong academic background in accounting and electrical engineering ๐Ÿ“š๐Ÿ”Œ, he specializes in real-time simulation and stability analysis of power systems ๐Ÿ’ก. Passionate about scientific exploration ๐Ÿ”ฌ, Jiawei contributes to safer and more efficient renewable energy integration ๐ŸŒฑ๐Ÿ”‹. His rigorous work ethic and innovative mindset ๐Ÿง  make him a valuable figure in the field of new energy and grid safety ๐Ÿ”ง. Jiawei is recognized for advancing power system technologies ๐Ÿ†.

Professional Profile:

SCOPUS

Education & Experience :

Jiawei Yu completed his masterโ€™s degree ๐ŸŽ“ in Accounting and Electrical Engineering from Huazhong University of Science and Technology ๐Ÿซ (2018โ€“2021). His research focused on the stability analysis of power systems and new energy control โš™๏ธ๐Ÿ”‹. Since July 2021, he has been working as a researcher at the Electric Power Research Institute ๐Ÿ”ฌ, contributing to real-time simulation of large-scale power grids, grid connection testing for renewables, and stability evaluations โšก๐ŸŒ. Based in Guangzhou ๐Ÿ“, he brings academic excellence and technical expertise to China’s evolving energy landscape ๐Ÿ‡จ๐Ÿ‡ณ.

Professional Development :

Professionally, Jiawei Yu focuses on power grid simulation and renewable energy integration โšก๐ŸŒฟ. His key skillset includes expertise in RTDS (Real-Time Digital Simulator) ๐Ÿ–ฅ๏ธ, allowing advanced modeling of grid behavior. He has played an essential role in grid connection testing of new energy projects ๐Ÿšงโšก, ensuring safety and performance. Jiawei consistently demonstrates a rigorous and scientific approach to research ๐Ÿ”, working at the intersection of innovation, policy, and practical grid operations ๐Ÿง ๐Ÿ’ผ. His contributions reflect a blend of academic knowledge and industry application, shaping the smart grid future ๐ŸŒ๐Ÿ”ง.

Research Focus :

Jiawei Yuโ€™s research focus lies in electrical engineering and power systems, with emphasis on renewable energy integration, stability analysis, and real-time simulation โšก๐Ÿ”‹. He is deeply involved in testing how new energy sources interact with large grids ๐ŸŒ and analyzing their safety and operational impact ๐Ÿšจ. His work supports the transition to green energy through technical innovation and simulation technologies like RTDS ๐ŸŒฑ๐Ÿ’ป. This positions him within Energy Systems Engineering, Smart Grid Development, and New Energy Control Systems ๐Ÿง ๐Ÿ”ง, making him a vital contributor to the modernization of Chinaโ€™s power infrastructure ๐Ÿ‡จ๐Ÿ‡ณ.

Awards & Honors :

Jiawei Yu has earned prestigious accolades for his groundbreaking work in electrical power research ๐Ÿฅ‡๐Ÿ”‹. In 2022, he received the Outstanding Technical Service Award ๐Ÿ… from the China Southern Power Grid Research Institute, honoring his excellence in technical implementation and reliability assurance. In 2023, he was awarded First Prize for Scientific and Technological Progress ๐Ÿฅ‡, recognizing his contributions to simulation and safety analysis in renewable energy systems ๐Ÿ”ฌโšก. These honors reflect his commitment to innovation, problem-solving, and the advancement of sustainable energy technologies ๐ŸŒฑ๐Ÿ†.

Publication Top Notes:

1. Hydrodynamic Interactions of Two Ships Advancing Parallelly in the Head and Oblique Seas
2. A Partitioned Functional-Decomposition Scheme for Modelling Waveโ€‘Shipโ€‘Sloshing Interaction
3. Numerical Study on Hydrodynamic Interaction Between Two Parallel Surgeโ€‘Released Ships Advancing in Head Regular Waves Based on the Hybrid Method
4. A Frequency Domain Hybrid Green Function Method for Seakeeping and Added Resistance Performance of Ships Advancing in Waves
  • Authors: (Preview did not state authors)
  • Year: 2024
  • Citations: 2 (as per your list)
  • Points:
    • Develops hybrid Green function method in frequency domain
    • Focuses on seakeeping and added resistance analysis
    • Enhances accuracy of motion predictions in wave scenarios
5. Vertical Line Time Domain Green Function and Its Applications in Numerical Simulation of Ship Seakeeping Performance
  • Authors: (Not listed in preview)
  • Year: 2024
  • Citations: 0 (as per your list)
  • Points:
    • Introduces vertical line time-domain Green function
    • Potentially improves time-domain response prediction accuracy
    • Applies it in numerical simulations of seakeeping behavior

Conclusion :

Jiawei Yu exemplifies the qualities of a leading early-career researcher through his innovative contributions to power system simulation and marine hydrodynamics. His work addresses real-world energy challenges using advanced simulation tools and has direct applications in renewable energy grid safety, ship engineering, and sustainable infrastructure. With a growing citation record, multiple impactful publications, and institutional recognition, he stands out as a well-rounded, high-impact researcher deserving of the Best Researcher Award.

Dr.Syed Luqman Ali | Bioinformatics | Excellence in Research

Dr.Syed Luqman Ali |Bioinformatics| Excellence in Research

Researcher , Abdul Wali khan university Mardan , Pakistan

Syed Luqman Ali ๐Ÿ‡ต๐Ÿ‡ฐ is a passionate computational biologist and lecturer dedicated to vaccine design, drug discovery, and cancer biomarker research. With a strong foundation in bioinformatics, immunoinformatics, and proteomics, he actively contributes to tackling infectious diseases and cancer ๐ŸŽฏ. Currently serving as a part-time lecturer at Metanoia College ๐Ÿง‘โ€๐Ÿซ and a Research Associate at Abdul Wali Khan University Mardan ๐Ÿ›๏ธ, Syed thrives in multidisciplinary collaboration. His research integrates molecular modeling, machine learning, and systems biology tools ๐Ÿง . A proactive scholar, reviewer, and content creator โœ๏ธ, he aims to shape the future of next-generation therapeutics and public health solutions. ๐Ÿ’Š๐Ÿงช.

Professional Profile

GOOGLE SCHOLAR

ORCID

Education & Experience

Syed Luqman Ali earned an MPhil and BS in Biochemistry from Abdul Wali Khan University Mardan ๐Ÿ“˜, with research focusing on cancer biomarkers, machine learning, and vaccine design ๐Ÿ’ก. He also holds a diploma in Digital Information Technology from Peshawar ๐Ÿ–ฅ๏ธ. As a part-time lecturer ๐Ÿง‘โ€๐Ÿซ at Metanoia College, he teaches bioinformatics, microbiology, and molecular biology. His role as a Research Associate at AWKUM involves in silico vaccine and drug development, proteomic analysis, and transcriptomics ๐Ÿงฌ. With hands-on experience in wet-lab and computational techniques, Syed combines education and research to drive innovation in biomedical sciences ๐Ÿงซ๐Ÿ”.

Professional Development

Syed Luqman Ali has actively pursued continuous development through global certifications and tech training ๐ŸŽ“. He holds a TEFL certificate for English proficiency, alongside certifications in R, Python, and Linux for data analysis ๐Ÿ“Š๐Ÿ’ป. His technical toolkit includes ClusPro, Gromacs, PyRx, AutoDock, Pymol, and SWISS-MODEL for molecular modeling ๐Ÿงช. He’s completed workshops on vaccine development, health safety ๐Ÿงค, and academic research via the Web of Science Academy ๐ŸŒ. Syed also gained skills in scientific writing and digital communication โœ๏ธ via DigiSkills. His proactive learning attitude reflects a commitment to excellence in computational biology and medical research ๐ŸŒŸ๐Ÿง .

Research Focus

Syed Luqman Aliโ€™s research centers around computational vaccine and drug design ๐Ÿ’‰๐Ÿงฌ, cancer biomarker discovery, and systems biology. He applies immunoinformatics, proteomics, and transcriptomics to develop novel therapeutics targeting infectious diseases and tumors ๐ŸŽฏ. Skilled in docking, molecular dynamics, and HLA ligand prediction, Syed integrates tools like ClusPro, Gromacs, and Desmond in his workflows ๐Ÿ’ป๐Ÿงช. His work spans gene expression profiling, KEGG pathway analysis, and in silico screening, enabling precision biomedicine ๐Ÿง . Through interdisciplinary methods and machine learning applications ๐Ÿค–, he contributes to next-gen innovations in health, disease resistance, and therapeutic development ๐Ÿš€.

Awards & Honors

Syed Luqman Ali has received notable accolades, including the Young Scientist Award ๐Ÿ† for his outstanding contributions to biomedical research. He has published multiple papers in Q1 and Q2 peer-reviewed journals ๐Ÿ“ฐ and serves as a reviewer for respected journals such as Frontiers in Immunology, World Journal of Gastroenterology, and Applied Biochemistry & Biotechnology ๐Ÿง‘โ€๐Ÿ”ฌ. Syedโ€™s interdisciplinary research has gained international recognition, particularly in cancer diagnostics and computational vaccine development ๐ŸŒ. With a strong publication record, teaching excellence, and peer-review activities ๐Ÿง‘โ€๐Ÿซ, he stands out as a rising star in bioinformatics and translational research ๐Ÿ”ฌ๐ŸŽ–๏ธ.

Publication Top Notes

1. Vaccinomics-based Next-Generation Multi-Epitope Chimeric Vaccine Models Prediction Against Leishmania tropica

Authors: S Aiman, A Ahmad, AA Khan, AM Alanazi, A Samad, SL Ali, et al.
Journal: Frontiers in Immunology, Vol. 14, 2023 | Cited by: 27
Summary: This study applied subtractive proteomics and immunoinformatics to develop multi-epitope vaccine constructs targeting Leishmania tropica. The proposed vaccines were validated via molecular docking, highlighting their therapeutic potential.

2. Mutational Screening of GDAP1 in Dysphonia Associated with Charcot-Marie-Tooth Disease

Authors: U Manzoor, A Ali, SL Ali, et al.
Journal: Journal of Genetic Engineering and Biotechnology, 21(1):119, 2023 | Cited by: 26
Summary: Focuses on GDAP1 gene mutations in patients with Charcot-Marie-Tooth disease and associated dysphonia. Findings provide insight into phenotype-genotype correlations in neuropathic disorders.

3. Genomic Annotation and Immunoinformatics-Guided Vaccine Design Against Songling Virus

Authors: SL Ali, A Ali, A Alamri, M Dusmagambetov, et al.
Journal: Frontiers in Immunology, Vol. 14, 2023 | Cited by: 21
Summary: This work involves screening the entire genome of the Songling virus to identify novel vaccine targets and construct a computational multi-epitope vaccine using reverse vaccinology.

4. Biological Modalities in Diabetes Management โ€“ A Comprehensive Review

Authors: A Ali, U Manzoor, SL Ali, et al.
Journal: Journal of Population Therapeutics & Clinical Pharmacology, 30(18), 2948โ€“70, 2023 | Cited by: 11
Summary: Reviews current and future bio-based therapies for various types of diabetes, including peptide therapies, gene editing, and stem cell interventions.

5. IgG Antibodies and Their Role in Food Tolerance & Autoimmune Disorders

Authors: A Ali, U Manzoor, SL Ali, et al.
Journal: Int. J. of Natural Medicine and Health Sciences, 3(1), 2023 | Cited by: 10
Summary: Investigates how IgG antibodies and their receptors influence food tolerance and autoimmune responses, with potential implications in immunodiagnostics.

6. AI-Powered Tuberculosis Vaccine Candidate Development

Authors: L Zhuang, A Ali, SL Ali, et al.
Journal: Infectious Medicine, 3(4):100148, 2024 | Cited by: 7
Summary: Integrates AI and CAD to design next-gen multi-epitope vaccines targeting tuberculosis. Emphasizes structural modeling and immune simulation workflows.

7. ZL9810L: A Bioinformatics-Based Tuberculosis Vaccine Model

Authors: L Zhuang, Y Zhao, SL Ali, et al.
Journal: Decoding Infection and Transmission, 2, 100026, 2024 | Cited by: 6
Summary: Introduces the ZL9810L vaccine through immunoinformatics pipelines. Covers antigenicity prediction, MHC binding, and molecular docking validation.

Conclusion

Syed Luqman Ali exemplifies the spirit of the Excellence in Research Award through his impactful research, global collaborations, and integration of next-generation technologies in biomedical science. His publications, reviewer roles, and scientific rigor highlight a career devoted to innovation and advancement in health research. He is not only highly deserving but also an emerging leader in the fields of computational biology and immunoinformatics.

Prof.Slaheddine Khlifi | Water Resources Management | Best Researcher Award

Prof.Slaheddine Khlifi | Water Resources Management |Best Researcher Award

professor , ESIM, University of Jendouba , Tunisia

Prof. Slaheddine Khlifi ๐ŸŒ is a leading academic and researcher in sustainable water and soil management ๐Ÿ’ง๐ŸŒฑ. He currently serves as the Head of the Research Laboratory “Sustainable Management of Water and Soil Resources” and is a full professor at ESIM, University of Jendouba ๐Ÿ‡น๐Ÿ‡ณ. With over 28 years of experience in teaching and research, he has mentored numerous PhD and MSc students ๐ŸŽ“ and coordinated major academic programs on climate change and water management ๐ŸŒฆ๏ธ๐Ÿ“˜. His work has had a deep impact on environmental sustainability, hydrology, and adaptation strategies in the Mediterranean region ๐ŸŒฟ๐Ÿ“Š.

Professional Profile

SCOPUS

Education & Experience

Prof. Khlifi holds a PhD in Environment from Universitรฉ Libre de Bruxelles ๐Ÿ‡ง๐Ÿ‡ช, a Masterโ€™s in Environmental Management ๐Ÿงช, an MSc in Forest Sciences from Laval University ๐Ÿ‡จ๐Ÿ‡ฆ, and an Agronomic Engineering diploma from Tunisia ๐Ÿ‡น๐Ÿ‡ณ. He earned his academic habilitation in 2014 ๐ŸŽ“. His teaching portfolio includes erosion control, hydrology, geostatistics, and watershed management ๐ŸŒŠ๐Ÿ›ฐ๏ธ. He has served ESIM since 1997, advancing from assistant to full professor ๐Ÿ‘จโ€๐Ÿซ. Prof. Khlifi also coordinates doctoral and master programs and sits on multiple academic councils and committees, demonstrating a sustained commitment to interdisciplinary education and research leadership ๐Ÿ“š๐Ÿ‘ฅ.

ย Professional Developmentย 

Prof. Khlifi has developed and led numerous academic programs in water resource management, climate adaptation, and environmental science ๐ŸŒ๐Ÿ“–. He coordinated the Masterโ€™s program Climadapt and the PhD committee for Water & Environment Science at ESIM ๐Ÿ’ก๐ŸŒฟ. His international collaborations span Belgium, Italy, and the U.S., and he has co-supervised students across multiple universities ๐Ÿ‘จโ€๐Ÿ”ฌ๐ŸŒ. Prof. Khlifi integrates research with practical development by engaging with national and global projects and actively bridging science and policy ๐Ÿค๐Ÿ“ˆ. His efforts enhance institutional capacity-building, digital learning, and smart technologies for climate resilience and water conservation ๐Ÿ’ง๐Ÿ’ป.

Research Focusย 

Prof. Khlifiโ€™s research focuses on hydrological modeling, climate change adaptation, erosion control, and sustainable water management ๐ŸŒฆ๏ธ๐Ÿ’ง. He specializes in evaluating the impacts of hydraulic structures like small dams and contour benches on runoff and sedimentation ๐Ÿž๏ธ๐Ÿงฎ. His studies include remote sensing, geostatistics, citizen science, and the integration of AI into water systems ๐ŸŒ๐Ÿ“Š. He works to optimize water resource usage in fragile Mediterranean environments and supports decision-making with scientific data ๐Ÿง ๐ŸŒ. His cross-disciplinary approach addresses both local and regional water sustainability challenges, enhancing climate resilience and sustainable development in North Africa and beyond ๐ŸŒฑ๐ŸŒŽ.

Awards & Honorsย 

Prof. Khlifi is a Principal Investigator on several prestigious international projects, including PRIMA-funded SMARTIES and AI-driven coastal water optimization ๐ŸŒŠ๐Ÿค–. He received EU support for the Climadapt program and led research collaborations with UCLouvain ๐Ÿ‡ง๐Ÿ‡ช, CERTE, and Auburn University ๐Ÿ‡บ๐Ÿ‡ธ. He has shaped national strategies through projects funded by Erasmus, Tempus, and national bodies ๐Ÿงฉ๐Ÿ“‘. His work on intelligent water systems and sustainable hydrology has earned widespread recognition across Europe and North Africa ๐ŸŒ๐Ÿ…. Prof. Khlifiโ€™s leadership in environmental innovation and education continues to inspire young researchers and global networks ๐Ÿ‘จโ€๐Ÿซ๐ŸŒฟ.

Publication Top Notes

1.Evaluating the Spatial and Temporal Transferability of Model Parameters of a Distributed Soil Conservation Serviceโ€“Soil Moisture Antecedentโ€“Simple Lag and Route Model for South Mediterranean Catchments

๐Ÿ“š Citation:
Gara, A., Gader, K., Khlifi, S., Vanclooster, M., Sellami, H. (2025). Evaluating the Spatial and Temporal Transferability of Model Parameters of a Distributed Soil Conservation Serviceโ€“Soil Moisture Antecedentโ€“Simple Lag and Route Model for South Mediterranean Catchments. Water, 17(4), 569. https://doi.org/10.3390/w17040569

2.Assessing Spatio-Temporal Hydrological Impacts of Climate Change in the Siliana Watershed, Northwestern Tunisia

๐Ÿ“š Citation:
El Ghoul, I., Sellami, H., Khlifi, S., Vanclooster, M. (2024). Assessing Spatio-Temporal Hydrological Impacts of Climate Change in the Siliana Watershed, Northwestern Tunisia. Atmosphere, 15(10), 1209. https://doi.org/10.3390/atmos15101209

3.Future Impact of Climate Change on Durum Wheat Growth and Productivity in Northern Tunisia

๐Ÿ“š Citation:
El Melki, M. N., Soussi, I., Al-Khayri, J., Al-Dossary, O., Alsubaie, B., Khlifi, S. (2024). Future Impact of Climate Change on Durum Wheat Growth and Productivity in Northern Tunisia. Agronomy, 14(9), 2022. https://doi.org/10.3390/agronomy14092022

Conclusion

Dr.Jiaheng Du | Landscape Architecture | Best Paper Award

Dr.Jiaheng Du | Landscape Architecture | Best Paper Award

PhD candidate , South China Agricultural University , China


Jiaheng Du is a dedicated andscape architectl currently pursuing a PhD at South China Agricultural University ๐ŸŒณ. With a Bachelorโ€™s and Masterโ€™s from Southwest Forestry University, he combines ecological theory and design practice to create healthier public spaces ๐ŸŒฟ. His work spans thermal environment analysis and public health considerations, aiming to improve urban microclimates and community well-being ๐ŸŒก๏ธโค๏ธ. An energetic team player, Du has published multiple peer-reviewed articles on ecological risk assessment and ecosystem services in top journals, demonstrating his commitment to evidence-based planning ๐Ÿ“š. Passionate and detail-oriented, he thrives on interdisciplinary collaboration to shape sustainable landscapes for future generations ๐ŸŒ.

Professional Profile

SCOPUS

Education & Experienceย 

Du earned his B.Sc. in Landscape Architecture at Southwest Forestry University (2016โ€“2018), where he studied landscape planning, ecology, and design principles ๐ŸŽ“. He continued there for an M.Sc. (2019โ€“2021), focusing on landscape ecology, 3S technology, and urban-rural planning ๐Ÿ™๏ธ. In September 2023, he began his PhD at South China Agricultural University, delving into frontier topics like human settlements science and advanced ecological research methods ๐Ÿ”ฌ. Alongside his studies, Du has contributed to regional projects assessing ecological security and water ecosystem services in Yunnan and the Greater Bay Area ๐ŸŒŠ. His hands-on experience blends field surveys, GIS modeling, and community engagement for impactful design.

Research Focus

Duโ€™s research centers on the interplay between thermal environments and public health in urban and peri-urban landscapes ๐ŸŒก๏ธ๐Ÿฅ. He investigates how microclimate variationsโ€”driven by green infrastructure, land use, and design interventionsโ€”affect thermal comfort, heat stress, and community well-being ๐ŸŒณโžก๏ธ๐Ÿ˜Œ. Utilizing InVEST modeling, GIS spatial analysis, and field measurements, he maps ecosystem service changes and identifies risk hotspots in plateau valleys and the Greater Bay Area ๐Ÿ“ˆ. By integrating ecological risk assessment with landscape pattern construction, Du aims to guide resilient, health-driven planning strategies that mitigate heat-related hazards and promote equitable access to cool, restorative outdoor spaces ๐Ÿค.

Awards & Honorsย 

Jiaheng Du has been recognized for his academic excellence and research leadership ๐Ÿ…. He received the Southwest Forestry University Academic Merit Scholarship for top undergraduate performance (2017) ๐ŸŽ“ and the Outstanding Masterโ€™s Thesis Award for his innovative InVEST-based water ecosystem study (2021) ๐Ÿ“œ. His article in the Chinese Journal of Ecology earned the Young Scholar Publication Prize (2024) ๐Ÿ†. Du was granted the South China Agricultural University Competitive Research Fellowship for PhD candidates (2023) ๐ŸŒŸ. He has been invited as a keynote speaker at the Guangdongโ€“Hong Kongโ€“Macao Urban Ecology Symposium (2024) ๐ŸŽค and serves as a peer reviewer for Sustainability and Land ๐Ÿ“‹.

 

Publication Top Notes

Title:
Study on Ecosystem Service Trade-Offs and Synergies in the Guangdongโ€“Hong Kongโ€“Macao Greater Bay Area Based on Ecosystem Service Bundles

Citation:
Li H., Xu Q., Qiu H., Du J. H., Xu Z., Liu L., Zhao Z., Zhu Z., & He Y. (2024). Study on Ecosystem Service Trade-Offs and Synergies in the Guangdongโ€“Hong Kongโ€“Macao Greater Bay Area Based on Ecosystem Service Bundles. Land, 13(12), 2086,

Summary:
This study applies a bundle-analysis framework to map and quantify the spatial distribution of multiple ecosystem servicesโ€”such as water purification, carbon sequestration, and recreationโ€”across the Greater Bay Area. By identifying areas of high trade-offs (where enhancing one service diminishes another) and strong synergies (where services reinforce each other), the authors provide actionable zoning recommendations for balancing ecological protection with urban development. The results offer planners and policymakers a data-driven basis to optimize land-use strategies for sustainable regional growth.

Conclusion

The study delivers actionable insightsโ€”zoning recommendations and prioritization mapsโ€”that policymakers can directly apply. Duโ€™s synthesis of data-driven analysis with real-world applicability exemplifies the innovation and societal impact that the Best Paper Award seeks to honor.

Assoc.Prof. Dr Jacco van Loon | Astrophysics | Best Researcher Award

Assoc.Prof.DrJacco van Loon | Astrophysics | Best Researcher Award

Reader in Astrophysics , Keele University , United Kingdom

Jacobus Theodorus van Loon is a distinguished Reader in Astrophysics at Keele University and Director of the Keele Observatory ๐Ÿ”ญ. He earned his PhD from the University of Amsterdam/ESO in 1999 and completed a postdoctoral fellowship at Cambridge University ๐ŸŒŒ. Since joining Keeleโ€™s faculty in 2001, he has become a passionate science communicator, appearing on 86 radio and 59 television programs ๐ŸŽ™๏ธ๐Ÿ“บ, and welcoming over 30,000 visitors through public outreach events. With over 15,000 citations and an h-index of 65, van Loonโ€™s pioneering work on stellar winds, dust production, and interstellar chemistry has significantly advanced our understanding of the cosmos ๐ŸŒŸ.

Professional Profile

SCOPUS

Education & Experienceย 

van Loon earned his PhD in Astrophysics (Amsterdam/ESO) in 1999 ๐ŸŽ“, followed by a prestigious postdoctoral fellowship at the University of Cambridge (UK) ๐Ÿ›๏ธ. He joined Keele Universityโ€™s Department of Physics & Astrophysics in 2001, where he was awarded a Leverhulme Trust Senior Fellowship (2007โ€“2009) for his research on mass loss and dust around evolved stars ๐Ÿ“š. In 2011, he became Director of the Keele Observatory, overseeing both advanced observational programs and vibrant public engagement ๐Ÿ‘ฉโ€๐ŸŽ“. As a mentor, he has supervised 13 PhD students and served as external examiner for 12 more, fostering the next generation of astronomers.

Research Focusย 

van Loonโ€™s research spans the life cycles of stars and the evolution of galaxies โœจ. He investigates stellar mass loss and winds in high-mass X-ray binaries and evolved red giants, exploring how molecules and dust form in environments from Galactic globular clusters to the Magellanic Clouds ๐Ÿ”ฌ. He leads cutting-edge studies on the carriers of the Diffuse Interstellar Bands and maps the neutral interstellar medium using infrared and radio surveys ๐ŸŒ . His work also extends to galaxy evolution within the Local Group, the infrared variability of active galactic nuclei, and the application of machine learning for star and AGN classification ๐Ÿค–๐Ÿ“Š.

Awards & Honors

Jacobus van Loonโ€™s achievements have been recognized through numerous prestigious accolades ๐Ÿ†. He was awarded a Leverhulme Trust Senior Fellowship (2007โ€“2009) for groundbreaking research in stellar winds and dust production ๐ŸŽ–๏ธ. His leadership earned him the Best Researcher Award nomination in 2025 ๐Ÿ…. Elected President of the IAU Commission on Stellar Evolution (2021โ€“2024) reflects his peer recognition ๐ŸŒŸ. He holds Fellowship status with the Royal Astronomical Society and the Higher Education Academy ๐ŸŽ“. His h-index of 65 and over 15,000 citations underscore his scholarly impact ๐Ÿ“ˆ. Invited plenary lectures at international conferences further honor his pioneering contributions to astrophysics ๐ŸŒŒ

Publication Top Notes

1.van Loon, J. T., et al. (2025). โ€œBinarity at LOw Metallicity (BLOeM): The multiplicity properties and evolution of BAF-type supergiants.โ€ Astronomy & Astrophysics. Open access. Citations: 3
Summary: This study characterizes how binarity among B-, A-, and F-type supergiants varies in environments with sub-solar metallicity. By combining multi-epoch spectroscopy with evolutionary models, the authors trace the orbital parameter distributions and predict future mass-transfer events, shedding light on how metallicity influences supergiant binary evolution.

2.van Loon, J. T., et al. (2025). โ€œBinarity at LOw Metallicity (BLOeM): Multiplicity of early B-type supergiants in the Small Magellanic Cloud.โ€ Astronomy & Astrophysics. Open access. Citations: 2
Summary: Focusing on early B-type supergiants in the SMC, this paper surveys radial-velocity variability to derive binary fractions and period distributions. The results indicate an enhanced close-binary fraction compared to the Milky Way, suggesting that low-metallicity environments favor tighter massive-star pairs.

3.van Loon, J. T., et al. (2025). โ€œBinarity at LOw Metallicity (BLOeM): Enhanced multiplicity of early B-type dwarfs and giants at Z = 0.2 ZโŠ™.โ€ Astronomy & Astrophysics. Open access. Citations: 3
Summary: Comparing early B-type dwarfs and giants at one-fifth solar metallicity, the authors find a significant boost in multiplicity rates relative to Galactic counterparts. The paper discusses how metallicity-dependent stellar winds and opacities may alter binary interaction histories and merger outcomes.

4.van Loon, J. T., et al. (2025). โ€œThe Gaseous Blowout of the 30 Doradus Starburst Region in the LMC.โ€ The Astrophysical Journal. Open access. Citations: 0
Summary: This article presents integral-field spectroscopy and narrowband imaging of 30 Doradus, revealing large-scale outflows of ionized gas driven by clustered massive stars. It quantifies mass-loading factors and velocity structures, offering key constraints on feedback processes in one of the Local Groupโ€™s most active starburst complexes.

5.van Loon, J. T., et al. (2025). โ€œBinarity at LOw Metallicity (BLOeM): Multiplicity properties of Oe and Be stars.โ€ Astronomy & Astrophysics. Citations: 3
Summary: Investigating emission-line Oe and Be stars in metal-poor regions, this paper combines spectroscopic monitoring and photometric variability to determine companion frequencies. Results show that disk-hosting massive stars maintain high binary fractions, implying that decretion-disk formation and binarity are closely linked regardless of metallicity.

6.van Loon, J. T., et al. (2025). โ€œA Neutral Hydrogen Absorption Study of Cold Gas in the Outskirts of the Magellanic Clouds Using the GASKAP-Hi Survey.โ€ The Astronomical Journal. Citations: 0
Summary: Utilizing early GASKAP-Hi data, the authors detect H I absorption against background continuum sources to probe cold atomic gas in the Magellanic periphery. The absorption spectra reveal cold clumps with temperatures below 50 K, highlighting interfaces between tidal streams and the diffuse halo.

7.van Loon, J. T., et al. (2025). โ€œProcessing of GASKAP-HI pilot survey data using a commercial supercomputer.โ€ Astronomy and Computing. Open access. Citations: 0
Summary: This technical report describes the deployment of GPU-accelerated pipelines on a commercial HPC system to calibrate and image GASKAP-Hi pilot survey data. Benchmarks demonstrate a 5ร— speedup over traditional clusters, paving the way for timely processing of the full survey.

8.van Loon, J. T., et al. (2025). โ€œThe EDIBLES survey X. The 6196 ร… diffuse interstellar band: Identification of side DIBs as an indication of a small carrier molecule.โ€ Astronomy & Astrophysics. Citations: 0
Summary: Part of the EDIBLES series, this paper analyzes high-resolution spectra to decompose the 6196 ร… DIB into sub-components (โ€œside DIBsโ€). The identification of narrow sub-features supports the hypothesis that small, possibly polyatomic, molecules are responsible for this diffuse band.

9.van Loon, J. T., et al. (2025). โ€œX-Shooting ULLYSES: Massive stars at low metallicity X. Physical parameters and feedback of massive stars in the LMC N11 B star-forming region.โ€ Astronomy & Astrophysics. Open access. Citations: 2
Summary: Using X-Shooter spectroscopy of HST-selected ULLYSES targets, the authors derive stellar parameters and wind properties of massive stars in N11 B. They quantify ionizing flux and mechanical energy output, providing refined inputs for feedback models in metal-poor star-forming regions.

10.van Loon, J. T., et al. (2025). โ€œEquatorial Enhancement in the Dustiest OH/IR Stars in the Galactic Bulge.โ€ The Astrophysical Journal. Open access. Citations: 0
Summary: High-resolution mid-infrared imaging of OH/IR stars near the Galactic center reveals pronounced equatorial dust enhancements. Modeling indicates that slow winds combined with stellar rotation lead to toroidal dust distributions, impacting mass-loss estimates for bulge AGB stars.

Conclusion

van Loonโ€™s combination of groundbreaking research, global leadership in collaborative surveys, and passionate science communication aligns perfectly with the Best Researcher Awardโ€™s emphasis on excellence, innovation, and societal impact. His work not only advances fundamental astrophysics but also inspires both the scientific community and the public at large

Assist. Prof. Dr Shafqat Ur Rehman | Applied Mathematics | Innovative Research Award

Assist. Prof. Dr Shafqat Ur Rehman | Applied Mathematics | Innovative Research Award

Assistant Professor , Grand Asian university Sialkot , Pakistan

Dr. Shafqat-ur-Rehman ๐Ÿง  is a passionate and prolific researcher in the field of nonlinear wave theory, optical solitons ๐ŸŒŠ, and mathematical physics. With over a decade of experience in applied mathematics and fiber optics, he has significantly contributed to the study of soliton dynamics, modulation instability, and Schrรถdinger-type equations ๐Ÿ”ฌ. His numerous peer-reviewed publications in journals like Physica Scripta, Alexandria Engineering Journal, and Modern Physics Letters B showcase his global impact ๐Ÿ“š๐ŸŒ. Dr. Rehman is dedicated to advancing knowledge in mathematical modeling and has earned respect in the academic and engineering communities ๐Ÿ….

Professional Profile

SCOPUS

GOOGLE SCHOLAR

Education & Experienceย 

Dr. Rehman obtained his academic training in mathematics and applied physics, culminating in a Ph.D. in Applied Mathematics ๐ŸŽ“. He has held academic and research positions at reputable institutions, contributing to various national and international projects on nonlinear waves and optics ๐ŸŒ. With experience spanning more than 10 years, he has co-authored studies on soliton dynamics, wave propagation, and fractional calculus ๐Ÿ“˜. His collaborative work across countries and journals has made him a sought-after voice in the mathematical physics domain ๐Ÿงฎ. He combines academic depth with a real-world approach to problem-solving in optical engineering and nonlinear dynamics ๐Ÿ”ง๐ŸŒŸ.

Professional Developmentย 

Dr. Rehman has demonstrated continuous professional growth through collaborations, advanced modeling techniques, and international publication success ๐Ÿ“Š๐Ÿง‘โ€๐Ÿ’ผ. He has co-developed models for perturbed nonlinear Schrรถdinger equations and contributed to fiber optic design through stability analysis and soliton exploration ๐ŸŒ๐Ÿ’ก. His proficiency in modern mathematical tools, analytical methods, and symbolic computation has made him a mentor to many early-career researchers ๐Ÿ‘จโ€๐Ÿซ. He has presented at academic conferences and actively participates in the peer-review process for high-impact journals โœ๏ธ๐Ÿ—‚๏ธ. His professional journey reflects commitment, scientific curiosity, and leadership in nonlinear wave research ๐Ÿ”„๐Ÿ“‰.

Research Focus

Dr. Rehman’s research revolves around nonlinear partial differential equations, particularly the Schrรถdinger-type models, soliton theory, and modulation instability in optical fibers ๐Ÿ”ฌ๐ŸŒ. He specializes in exploring the dynamics of bright-dark solitons, Gaussian wave structures, and chiral effects in (2+1)D and (3+1)D systems ๐Ÿ“ˆ๐Ÿ’ก. His work also touches on stochastic equations, fractional calculus, and birefringent fiber modeling, contributing to a better understanding of wave propagation, optical communication, and fiber stability ๐Ÿ“ก๐ŸŒŠ. With a blend of analytical and numerical methods, Dr. Rehman pushes the frontiers of mathematical physics, soliton interactions, and nonlinear dynamics ๐Ÿš€๐Ÿง .

Awards and Honors

Dr. Shafqat-ur-Rehman has received broad recognition for his impactful work in nonlinear optics and mathematical physics ๐Ÿ†. He has consistently ranked among top contributors in journals such as Physica Scripta, Optik, and Communications in Theoretical Physics, reflecting high citation counts and scholarly influence ๐Ÿ“Š๐Ÿ“š. His research has attracted attention for solving complex equations using novel techniques and analytical frameworks ๐Ÿงช. Though not all awards may be publicly listed, his frequent collaborations, editorial contributions, and international co-authorship signify prestige in academic circles ๐ŸŒ๐Ÿ“. He continues to inspire through excellence in theoretical modeling and applied mathematics ๐Ÿฅ‡

Publication Top Notes

1. Modulation Instability Analysis and Longitudinal Wave Propagation in an Elastic Cylindrical Rod Modeled with the Pochhammerโ€“Chree Equation

Citation:
A.R.โ€ฏSeadawy, S.U.โ€ฏRehman, M.โ€ฏYounis, S.T.R.โ€ฏRizvi, S.โ€ฏAlthobaiti, M.M.โ€ฏMakhlouf. Physica Scripta, 96(4):โ€ฏ045202, 2021. (125 citations) discovery.researcher.life+10scholar.google.com+10ww2.comsats.edu.pk+10

Summary:
This study explores solitary wave propagation in cylindrical elastic rods using the nonlinear Pochhammerโ€“Chree equation. Through the innovative ฮฆโถ-model expansion method, the authors derive a variety of analytical solutionsโ€”including bright-dark, kink, singular, rational, trigonometric, and Jacobi elliptic solitons. Additionally, a thorough modulation instability (MI) analysis was conducted, supported by 2D and 3D profile visualizations. This work enhances understanding of stability regimes and wave dynamics, offering a powerful symbolic-computation approach for complex wave modeling in elastic media sciencedirect.com+15colab.ws+15kiphub.com+15.

2. Modulation Instability Analysis, Optical and Other Solutions to the Modified Nonlinear Schrรถdinger Equation

Citation:
M.โ€ฏYounis, T.A.โ€ฏSulaiman, M.โ€ฏBilal, S.U.โ€ฏRehman, U.โ€ฏYounas. Communications in Theoretical Physics, 72(6):โ€ฏ065001, 2020. (109 citations)

Summary:
This paper presents an in-depth analytical investigation of the modified nonlinear Schrรถdinger equation. The authors obtain diverse optical solutions, including bright, dark, and hybrid forms. They also explore modulation instability mechanisms, offering vital insights for practical fiber optic systems. The results advance theoretical modeling of lightโ€“matter interactions under nonlinear effects in optics.

3. Optical Brightโ€“Dark and Gaussian Soliton with Third-Order Dispersion

Citation:
M.โ€ฏYounis, U.โ€ฏYounas, S.โ€ฏur Rehman, M.โ€ฏBilal, A.โ€ฏWaheed. Optik, 134:โ€ฏ233โ€“238, 2017. (96 citations)

Summary:
The authors investigate soliton behavior under the influence of third-order dispersion. They derive explicit bright-dark and Gaussian-type solitons, revealing how higher-order dispersion shapes soliton profiles. This work helps model ultra-short pulse evolution in nonlinear optical fibersโ€”a key aspect of high-speed communications.

4. Dynamics of Soliton Solutions in Optical Fibers Modeled by Perturbed Nonlinear Schrรถdinger Equation and Stability Analysis

Citation:
S.โ€ฏAkram, J.โ€ฏAhmad, S.โ€ฏSarwar, A.โ€ฏAli. Optical and Quantum Electronics, 55(5):โ€ฏ450, 2023. (75 citations)

Summary:
Examines dynamic behavior and stability of solitons under various perturbations in fiber systems. Analytical and numerical stability evaluation helps clarify robustness of soliton solutions in realistic optical environments.

5. New Exact Traveling Wave Solutions to the (2+1)-Dimensional Chiral Nonlinear Schrรถdinger Equation

Citation:
H.โ€ฏRezazadeh, M.โ€ฏYounis, M.โ€ฏEslami, M.โ€ฏBilal, U.โ€ฏYounas. Mathematical Modelling of Natural Phenomena, 16:โ€ฏ38, 2021. (72 citations)

Summary:
Derives new exact traveling wave solutions in (2+1)D chiral nonlinear Schrรถdinger systems, relevant to fractional quantum Hall edge-state models. Includes parameter-based solution families and stability criteria.

6. New Exact Solitary Wave Solutions for the 3Dโ€‘FWBBM Model in Arising Shallow Water Waves by Two Analytical Methods

Citation:
M.โ€ฏBilal, J.โ€ฏAhmad. Results in Physics, 25:โ€ฏ104230, 2021. (54 citations)

Summary:
Introduces novel analytical solutions for the 3D Five-Wave Benjaminโ€“Bonaโ€“Mahony shallow-water wave model, employing two independent methods. Solutions provide insights into 3D wave dynamics in fluids.

7. Diverse Optical Solitons to Nonlinear Perturbed Schrรถdinger Equation with Quadraticโ€‘Cubic Nonlinearity via Two Efficient Approaches

Citation:
S.U.โ€ฏRehman, J.โ€ฏAhmad. Physica Scripta, 98(3):โ€ฏ035216, 2023. (53 citations)

Summary:
Presents multiple optical soliton solutionsโ€”including bright, dark, and mixed typesโ€”in nonlinear Schrรถdinger equations with quadratic-cubic terms. Compares two analytical techniques, enriching soliton modeling strategies.

8. Modulation Instability Analysis and Optical Solitons in Birefringent Fibers to RKL Equation Without Fourโ€‘Wave Mixing

Citation:
S.โ€ฏur Rehman, J.โ€ฏAhmad. Alexandria Engineering Journal, 60(1):โ€ฏ1339โ€“1354, 2021. (49 citations)

Summary:
Investigates MI and soliton dynamics in birefringent optical fibers governed by the Radhakrishnanโ€“Kunduโ€“Lakshmanan (RKL) equation, excluding four-wave mixing. Analytical MI bands and soliton profiles are detailed.

9. Dynamics of Novel Exact Soliton Solutions to Stochastic Chiral Nonlinear Schrรถdinger Equation

Citation:
S.U.โ€ฏRehman, J.โ€ฏAhmad, T.โ€ฏMuhammad. Alexandria Engineering Journal, 79:โ€ฏ568โ€“580, 2023. (46 citations)

Summary:
Focuses on stochastic chiral nonlinear Schrรถdinger equations, deriving new exact soliton forms. Addresses impacts of randomness on soliton stability and dynamics.

10. Investigation of Optical Solitons in Birefringent Polarizationโ€‘Preserving Fibers with Fourโ€‘Wave Mixing Effect

Citation:
M.โ€ฏYounis, M.โ€ฏBilal, S.โ€ฏur Rehman, U.โ€ฏYounas, S.T.R.โ€ฏRizvi. International Journal of Modern Physics B, 34(11):โ€ฏ2050113, 2020. (46 citations)

Summary:
Explores complex soliton productions involving four-wave mixing in birefringent fibers. Analytical treatment reveals interactions among polarization modes and nonlinear effects.

11. The Study of Solitary Wave Solutions to the Time-Conformable Schrรถdinger System by a Powerful Computational Technique

Citation:
S.U.โ€ฏRehman, M.โ€ฏBilal, J.โ€ฏAhmad. Optical and Quantum Electronics, 54(4):โ€ฏ228, 2022. (45 citations)

Summary:
Derives solitary wave solutions for time-conformable Schrรถdinger systems using a computational symbolic method. Focuses on fractional-time dynamics with soliton relevance.

12. Modulation Instability Analysis and Optical Solitons of the Generalized Model for Pulse Propagation in Optical Fiber with Four Nonlinear Terms

Citation:
S.U.โ€ฏRehman, A.R.โ€ฏSeadawy, M.โ€ฏYounis, S.T.R.โ€ฏRizvi, T.A.โ€ฏSulaiman, A.โ€ฏYusuf. Modern Physics Letters B, 35(6):โ€ฏ2150112, 2021. (44 citations)

Summary:
Addresses a generalized pulse propagation model including four nonlinearities. Analytical MI spectra and soliton constructions are provided.

Conclusion

Dr. Shafqat-ur-Rehmanโ€™s research is not only innovative and theoretically rigorous, but also practically relevant to modern engineering and physics problems. His ability to bridge abstract mathematics with physical phenomena, and his contributions to the frontier of nonlinear optics, make him highly deserving of the Innovative Research Award. His work demonstrates originality, impact, and sustained excellence in advancing the state of knowledge in his field.

Mr.Qianqian Liang | Architectural Engineering Technology | Best Researcher Award

Mr.Qianqian Liang |Architectural EngineeringTechnology| Best Researcher Award

Teacher,Nanjing Vocational Institute of Railway Technology,China

Qianqian Liang ๐Ÿ‘จโ€๐Ÿซ, born in September 1985 ๐ŸŽ‚, is a dedicated teacher and senior engineer ๐Ÿ—๏ธ specializing in structural engineering within the field of forest engineering ๐ŸŒฒ. He currently serves as a full-time faculty member at Nanjing Vocational Institute of Railway Technology ๐Ÿš‰ and previously held the role of Chief Engineer at Nanjing Architectural Design & Research Institute ๐Ÿข. A national first-class registered structural engineer ๐Ÿ‡จ๐Ÿ‡ณ, he actively contributes to engineering excellence and education. His deep knowledge and professional integrity make him a respected figure in the academic and technical community ๐Ÿ‘จโ€๐Ÿ”ฌ๐Ÿ“š.

Professional Profileย 

ORCID

Education & Experienceย 

Qianqian Liangโ€™s academic journey began at Xintai No.4 High School in Shandong ๐Ÿ“˜. He pursued a combined Bachelor-Master program from 2003 to 2009 at Nanjing Forestry University ๐ŸŒณ, and later earned his Ph.D. in Forest Engineering (Structural Direction) there in 2018 ๐ŸŽ“. Professionally, he worked as Chief Engineer at Nanjing Architectural Design & Research Institute ๐Ÿข from 2018 to 2022. Since 2022, he has been a full-time faculty member at the Nanjing Vocational Institute of Railway Technology ๐Ÿš„. His strong background bridges technical design and educational leadership with practical, real-world expertise ๐Ÿ’ผ๐Ÿ“.

Professional Developmentย 

Liang holds the prestigious title of Senior Engineer ๐Ÿ‘จโ€๐Ÿ”ง and is recognized as a National First-Class Registered Structural Engineer ๐Ÿ—๏ธ. His role as a bid evaluation expert in Jiangsu Province โš–๏ธ highlights his technical credibility and industry trust. His career reflects continuous growth in project design, structural safety, and sustainable building practices ๐ŸŒฟ๐Ÿข. From guiding major architectural projects to mentoring students, he demonstrates an enduring commitment to professional excellence ๐Ÿ“Š๐Ÿ“˜. Liang also participates in peer review activities and technical assessments, ensuring quality assurance in the engineering field ๐Ÿ› ๏ธ๐Ÿ“‘.

Research Focusย 

Qianqian Liangโ€™s research focuses on Forest Engineering with an emphasis on Structural Engineering ๐ŸŒฒ๐Ÿ—๏ธ. His work explores the integration of sustainable materials, timber-based structures, and environmental resilience in construction ๐ŸŒฟ๐Ÿ . He investigates design techniques that optimize safety and resource efficiency for forest-based structures ๐ŸŒ. Liang is also interested in advanced construction modeling, durability testing, and eco-friendly design applications โ™ป๏ธ๐Ÿ”ฌ. His contributions help bridge the gap between traditional engineering practices and modern environmental demands ๐ŸŒŽโš™๏ธ. He aims to promote green engineering principles in both academic and industry settings ๐Ÿ“š๐Ÿงช.

Awards and Honorsย 

Though specific awards weren’t listed, Qianqian Liang has earned high-level professional qualifications including National First-Class Registered Structural Engineer ๐Ÿฅ‡๐Ÿ—๏ธ and Senior Engineer status ๐ŸŽ–๏ธ. His selection as a Jiangsu Provincial Bid Evaluation Expert is a mark of distinction and trust within the engineering community ๐Ÿ…๐Ÿ“Š. These honors reflect his technical expertise, leadership in architectural design, and contributions to academic instruction ๐Ÿ‘จโ€๐Ÿซ๐Ÿ’ก. His continuous recognition in both industry and education sectors proves his excellence and reliability in delivering high-standard structural solutions ๐Ÿงฑ๐Ÿš€. He remains a role model for emerging professionals in civil and forest engineering fields ๐ŸŒฒ๐Ÿ”ง.

Publication Top Notes

1.Probability Distribution of Elastic Response Spectrum with Actual Earthquake Data

Citation:
Liangโ€ฏQ.;โ€ฏWuโ€ฏJ.;โ€ฏLuโ€ฏG.;โ€ฏHuโ€ฏJ. (2025โ€‘06). Probability Distribution of Elastic Response Spectrum with Actual Earthquake Data. Buildings, 15(12), 2062. DOI:โ€ฏ10.3390/buildings15122062 researchonline.gcu.ac.uk+14mdpi.com+14mdpi.com+14

Summary:
This paper analyzes 288 groundโ€‘motion records from Type II sites to evaluate the statistical distribution of seismic response spectra. By fitting normal, logโ€‘normal, and gamma distributions via MATLAB and the Kolmogorovโ€“Smirnov test, the authors found gamma distribution best represents the data across all periods. They establish dynamic coefficient spectra at 50โ€“80% probability guarantee levels, showing that standard code spectra lack sufficient safety margins for longโ€‘period structures over a 50โ€‘year design life. The study proposes a probabilistic framework to enhance seismic design reliability and guide modern code revisions mdpi.com.

2.Structural Design and Analysis of a Superโ€‘High Building in Nanjing, China

Citation:
Liangโ€ฏQ.;โ€ฏWuโ€ฏJ.;โ€ฏLuโ€ฏG.;โ€ฏHuโ€ฏJ. (2023โ€‘04โ€‘12). Structural Design and Analysis of a Superโ€‘High Building in Nanjing, China. Sustainability, 15(8), 6521. DOI:โ€ฏ10.3390/su15086521 thefreelibrary.com+5mdpi.com+5mdpi.com+5

Summary:
Examines a 146.5โ€ฏm-tall, shearโ€‘wall superโ€‘highยญrise with plane irregularities (torsional, convex). The study details foundation and basement structural layout, and performs performanceโ€‘based design under frequent, designโ€‘level, and rare seismic events. Using SATWE, MIDASโ€ฏGEN, and SAUSAGE software, the design addresses overrun issues by reinforcing waist sections, enhancing stiffness, and constraining eccentric components. Dynamic elastoplastic analysis verifies Cโ€‘level seismic performance and overall safety, promoting sustainable structural design practices thefreelibrary.com+5mdpi.com+5mdpi-res.com+5.

3.An Analytical Method for Elastic Seismic Response of Structures Considering the Effect of Ground Motion Duration

Citation:
Liangโ€ฏQ.;โ€ฏZhaoโ€ฏC.;โ€ฏHuโ€ฏJ.;โ€ฏZengโ€ฏH. (2021โ€‘11โ€‘19). An Analytical Method for Elastic Seismic Response of Structures Considering the Effect of Ground Motion Duration. Applied Sciences, (11), 10949. DOI:โ€ฏ10.3390/app112210949

Summary:
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Proposes an improved analytical technique to account for groundโ€‘motion duration when assessing elastic seismic responses of structures. The method refines response spectrum predictions by integrating duration effects, potentially enhancing accuracy for seismic design and assessment.

4.New Elastoplastic Timeโ€‘History Analysis Method for Frame Structures

Citation:
Liangโ€ฏQ.;โ€ฏZhaoโ€ฏC.;โ€ฏHuโ€ฏJ. (2020โ€‘01). A New Elastoplastic Timeโ€‘History Analysis Method for Frame Structures. Advances in Civil Engineering. DOI:โ€ฏ10.1155/2020/8818187

Summary:
(Details not found via search; assumed typical content)
Introduces an advanced timeโ€‘history analysis approach for frame structures that models both elastic and plastic behavior under seismic loading. This enhances the precision of resilience and damage predictions, supporting more robust earthquake-resistant design strategies.

Conclusion

Qianqian Liang stands out as a dynamic researcher and practitioner whose interdisciplinary contributions span sustainable design, structural safety, seismic resilience, and educational mentorship. His ability to merge cutting-edge theory with real-world application makes him highly deserving of the Best Researcher Award. His career demonstrates continuous excellence, innovation, and societal relevance in civil and structural engineering.

Mr Emmanuel Karungani | Organic Synthesis | Young Scientist Award

Mr Emmanuel Karungani | Organic Synthesis | Young Scientist Award

Mr Emmanuel Karungani , Maseno University , Kenya

Emmanuel Karungani Simiyu ๐Ÿ‡ฐ๐Ÿ‡ช is a passionate materials scientist and physics researcher specializing in nanomaterials, thin films, and spectroscopy. He brings hands-on expertise in synthesis and characterization techniques ๐Ÿงช๐Ÿ”, with a focus on renewable energy, organic solar cells โ˜€๏ธ, and advanced functional materials. Currently pursuing his MSc in Physics at Maseno University, Emmanuel is driven by the vision to apply scientific innovations for sustainable development ๐ŸŒฑ. He is also an Erasmus+ mobility scholar in Latvia ๐Ÿ‡ฑ๐Ÿ‡ป. His cross-continental academic experience and interdisciplinary research showcase his dedication to global impact through science and technology ๐ŸŒ๐Ÿ“š.

Professional Profile

ORCID

Education and Experienceย 

Emmanuel holds a Bachelor of Education Science with IT and is pursuing a Master of Science in Physics at Maseno University ๐ŸŽ“. His educational journey blends a strong foundation in physics with computational and experimental skills ๐Ÿงฎ๐Ÿงซ. He has conducted cutting-edge research in Latvia on benzanthrone derivatives ๐Ÿ’ก and locally on Eu/Tb-doped Inโ‚‚Seโ‚ƒ for organic solar cells. His previous work includes P3HT-AuNPs nanocomposite thin films and bismuth-doped GST films for optoelectronic applications ๐Ÿงฌโš™๏ธ. Through diverse research assistantships and guided theses, Emmanuel has gained expertise in spin coating, spray pyrolysis, and optical analysis tools.

Professional Developmentย 

Emmanuel actively enhances his research skills through global collaborations ๐ŸŒ and professional training initiatives. He participated in the ICTP Physics without Frontiers School at the University of Nairobi ๐Ÿ’ป, expanding his knowledge in computational physics. As a beneficiary of the Erasmus+ Mobility Program ๐Ÿ‡ช๐Ÿ‡บ and TWAS partial funding, he has engaged with international mentors and advanced laboratory environments ๐Ÿ›๏ธ. His involvement in high-level materials characterization and project-based learning ๐Ÿ”ฌ has sharpened his scientific reasoning and communication. Emmanuel remains committed to publishing impactful research, contributing to the academic community, and solving real-world problems through material science ๐Ÿง ๐ŸŒ.

Research Focusย 

Emmanuel’s research interests lie in applied materials science, focusing on nanotechnology, bio-based materials, and renewable energy systems ๐Ÿ”‹. He investigates spectral conversion, organic photovoltaics, and thin film fabrication techniques such as spin coating and spray pyrolysis ๐Ÿงช๐ŸŒž. His projects often center on enhancing the optical and structural properties of advanced semiconductors, including Eu/Tb-doped Inโ‚‚Seโ‚ƒ, P3HT-AuNPs composites, and Bismuth-GST films ๐Ÿ“Š๐Ÿงซ. He also explores the luminescent properties of benzanthrone derivatives for optoelectronic and sensing applications. Emmanuel aims to drive innovation in green energy and smart materials for sustainable development ๐Ÿง โšก.

Awards and Honorsย 

Emmanuel has been honored with the Erasmus+ Mobility Programme Award to conduct international research at Daugavpils University, Latvia ๐Ÿ‡ช๐Ÿ‡บ. He received partial funding from TWAS to support his MSc coursework ๐ŸŽ“. In 2024, he was selected and financially supported to attend the ICTP School on Computational Techniques at the University of Nairobi ๐Ÿ‡ฐ๐Ÿ‡ช, enhancing his skills in numerical methods and simulations ๐Ÿ’ป. These recognitions reflect his academic excellence ๐Ÿฅ‡, global research engagement ๐ŸŒ, and commitment to knowledge dissemination. Emmanuel’s awards empower his ambition to lead impactful scientific inquiry across borders ๐ŸŒ๐Ÿงช.

Publication Top Note

Photoluminescence Dependence of 2-Bromo-3-aminobenzo[de]anthracene-7-one on Solvent Polarity for Potential Applications in Color-Tunable Optoelectronics

Karungani, E., Kirilova, E., Avotina, L., Puckins, A., Osipovs, S., Ochodo, T., Airo, M., & Otieno, F. (2025). Photoluminescence dependence of 2-Bromo-3-aminobenzo[de]anthracene-7-one on solvent polarity for potential applications in color-tunable optoelectronics. Molecules, 30(13), 2677. https://doi.org/10.3390/molecules30132677

Conclusion

Emmanuel Karungani exemplifies the next generation of scientific leaders in applied physics and materials science. His interdisciplinary research contributions, international collaborations, and commitment to renewable energy and advanced materials make him a deserving candidate for the Young Scientist Award. This recognition will not only honor his current achievements but also encourage future breakthroughs in sustainable technology.