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 👩‍🔬 is an Associate Professor and Principal Investigator at the Institute of High Energy Physics (IHEP), Chinese Academy of Sciences 🏛️. With a Ph.D. in Applied Chemistry 🎓, she has emerged as a leader in nanobiotechnology, focusing on the biosafety and biomedical applications of nanomaterials 🔬. She actively contributes to national and international research projects 🌐 and serves as Editor-in-Chief of Diseases & Research 📘. Passionate about innovation in nano-enabled cancer therapy and drug delivery 💊, Dr. Li has earned a stellar reputation for her interdisciplinary work in nanomedicine and toxicology 🧪.

Professional Profile:

ORCID

Education & Experience :

Dr. Li earned her Ph.D. in Applied Chemistry from the Beijing Institute of Technology (2009) 🎓, followed by postdoctoral research at IHEP, CAS (2009–2011) 🧪. In 2019, she was a visiting scholar at UCLA 🌍. Now a tenured Associate Professor at IHEP 👩‍🏫, she leads critical nanomedicine projects and serves in several scientific societies 🧫. 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 🤝, 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 🧠📚. Her leadership at the Key Laboratory of Nanobiological Effects and Safety, CAS ensures she stays at the forefront of nanomedicine innovation 🧬. She plays a critical role in national funding programs (NSFC, CAS Talent Program) 💼 and provincial initiatives for smart drug delivery technologies 💊. A trusted expert in toxicity, nanorobotics, and imaging, Dr. Li frequently collaborates across disciplines, mentors young researchers 👩‍🏫, and champions women in STEM 🚺.

Research Focus :

Dr. Li’s research lies at the intersection of nanobiotechnology, biomedicine, and toxicology 🧪. Her work addresses nanoparticle biosafety, targeted drug delivery, and smart nanorobotics for cancer treatment 🎯. She develops nano-enabled chemo-radio-immunotherapies and explores synchrotron radiation imaging for real-time tracking of nano-drugs 🔬🧲. A pioneer in surface modification of nano-carriers, her lab investigates their biological effects and preclinical potential 🧫. Her contributions are redefining the safety standards and innovation landscape of nanomedicine 🧠. Her research falls under nanomedicine, oncology, biomedical imaging, and advanced drug delivery systems 🚀.

Awards & Honors:

Dr. Li is the Editor-in-Chief of Diseases & Research 📘 and holds leadership roles in national research organizations, including the Nano-Oncology Association and Micro/Nano Robotics Society 🧬🤖. She has secured National Natural Science Foundation of China (NSFC) grants and is part of several national R&D programs 🎓💼. Her leadership in international collaboration under the CAS International Talent Program reflects her global recognition 🌏. Though individual awards aren’t listed, her appointments and competitive grant success stand as testimony to her scientific excellence, innovation, and lasting contributions to public health and nanomedicine 🏅.

Publication Top Notes:

1. A bionic palladium metal–organic framework based on a fluorescence sensing enhancement mechanism for sensitive detection of phorate
  • Journal: Nanoscale (2025)
  • DOI: 10.1039/D4NR03779K
  • Authors: Li, Mengyao; Wang, Zhijie; Tang, Hongyu; Yang, Jingru; Luo, Xianwei; Tian, Youjia; Yang, Mingxin; Jiang, Jinhong; Wang, Meng; Zheng, Lingna; et al.
  • Citations: Not yet indexed
  • Key Points:
    • Developed a bionic Pd-MOF with enhanced fluorescence sensing capability
    • Achieved ultra-sensitive detection of the pesticide phorate
    • 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, Zhijie; Wang, Chutian; Ji, Ying; Yang, Mingxin; Li, Chan; Li, Mengyao; Yang, Jingru; Tang, Hongyu; Luo, Xianwei; Hao, Haoyang; et al.
  • Citations: Not yet indexed
  • Key Points:
    • Engineered nanorobots guided via magnetic fields for targeted chemotherapy
    • Enhanced immune response and anti-tumor efficacy in preclinical models
    • Featured in the flagship issue (IF ≈ 33.2)
3. Nanoparticles Drug Delivery System in Targeted Therapy of Hepatocellular Carcinoma
  • Journal: Diseases & Research (2025)
  • DOI: 10.54457/dr.202402007
  • Authors: Xinyuan Kong; Zirui Zhang; Hongyu Tang; Yihang Chen; Juan Li; et al.
  • Citations: Not yet indexed
  • Key Points:
    • Reviews nanoparticle-based targeted delivery systems for liver cancer
    • Highlights smart carrier design and tumor targeting strategies
    • 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: Ying Ji; Juan Li; Li Ma; Zhijie Wang; Bochu Du; Hiu Yee Kwan; Zhaoxiang Bian; Chih‑Chang Chu
  • Citations: Not yet indexed
  • Key Points:
    • Created pseudo-protein-coated iron oxide nanoparticles to regulate immune activity
    • Demonstrated improved tumor targeting and therapeutic response in TNBC models
    • 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: Hu Fan; Liang Haojun; Xie Jing; Yuan Meng; Huang Wanxia; Lei Yinze; Li Hao; Lv Linwen; Liu Qiuyang; Zhang Junhui; et al.
  • Citations: Not yet indexed
  • Key Points:
    • Innovated a shockwave-activated nanomotor-microneedle device for bone healing
    • Achieved localized, controlled delivery to improve osteogenesis
    • Presents a new paradigm in transdermal drug delivery technology.

Conclusion:

Dr. Juan Li’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 👨‍🔬, born in June 1996 🎂, is a dedicated researcher at the Electric Power Research Institute ⚡ in Guangzhou, China 🇨🇳. With a strong academic background in accounting and electrical engineering 📚🔌, he specializes in real-time simulation and stability analysis of power systems 💡. Passionate about scientific exploration 🔬, Jiawei contributes to safer and more efficient renewable energy integration 🌱🔋. His rigorous work ethic and innovative mindset 🧠 make him a valuable figure in the field of new energy and grid safety 🔧. Jiawei is recognized for advancing power system technologies 🏆.

Professional Profile:

SCOPUS

Education & Experience :

Jiawei Yu completed his master’s degree 🎓 in Accounting and Electrical Engineering from Huazhong University of Science and Technology 🏫 (2018–2021). His research focused on the stability analysis of power systems and new energy control ⚙️🔋. Since July 2021, he has been working as a researcher at the Electric Power Research Institute 🔬, contributing to real-time simulation of large-scale power grids, grid connection testing for renewables, and stability evaluations ⚡🌐. Based in Guangzhou 📍, he brings academic excellence and technical expertise to China’s evolving energy landscape 🇨🇳.

Professional Development :

Professionally, Jiawei Yu focuses on power grid simulation and renewable energy integration ⚡🌿. His key skillset includes expertise in RTDS (Real-Time Digital Simulator) 🖥️, allowing advanced modeling of grid behavior. He has played an essential role in grid connection testing of new energy projects 🚧⚡, ensuring safety and performance. Jiawei consistently demonstrates a rigorous and scientific approach to research 🔍, working at the intersection of innovation, policy, and practical grid operations 🧠💼. His contributions reflect a blend of academic knowledge and industry application, shaping the smart grid future 🌐🔧.

Research Focus :

Jiawei Yu’s research focus lies in electrical engineering and power systems, with emphasis on renewable energy integration, stability analysis, and real-time simulation ⚡🔋. He is deeply involved in testing how new energy sources interact with large grids 🌍 and analyzing their safety and operational impact 🚨. His work supports the transition to green energy through technical innovation and simulation technologies like RTDS 🌱💻. This positions him within Energy Systems Engineering, Smart Grid Development, and New Energy Control Systems 🧠🔧, making him a vital contributor to the modernization of China’s power infrastructure 🇨🇳.

Awards & Honors :

Jiawei Yu has earned prestigious accolades for his groundbreaking work in electrical power research 🥇🔋. In 2022, he received the Outstanding Technical Service Award 🏅 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 🥇, recognizing his contributions to simulation and safety analysis in renewable energy systems 🔬⚡. These honors reflect his commitment to innovation, problem-solving, and the advancement of sustainable energy technologies 🌱🏆.

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 Wave‑Ship‑Sloshing Interaction
3. Numerical Study on Hydrodynamic Interaction Between Two Parallel Surge‑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 🇵🇰 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 🎯. Currently serving as a part-time lecturer at Metanoia College 🧑‍🏫 and a Research Associate at Abdul Wali Khan University Mardan 🏛️, Syed thrives in multidisciplinary collaboration. His research integrates molecular modeling, machine learning, and systems biology tools 🧠. A proactive scholar, reviewer, and content creator ✍️, he aims to shape the future of next-generation therapeutics and public health solutions. 💊🧪.

Professional Profile

GOOGLE SCHOLAR

ORCID

Education & Experience

Syed Luqman Ali earned an MPhil and BS in Biochemistry from Abdul Wali Khan University Mardan 📘, with research focusing on cancer biomarkers, machine learning, and vaccine design 💡. He also holds a diploma in Digital Information Technology from Peshawar 🖥️. As a part-time lecturer 🧑‍🏫 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 🧬. With hands-on experience in wet-lab and computational techniques, Syed combines education and research to drive innovation in biomedical sciences 🧫🔍.

Professional Development

Syed Luqman Ali has actively pursued continuous development through global certifications and tech training 🎓. He holds a TEFL certificate for English proficiency, alongside certifications in R, Python, and Linux for data analysis 📊💻. His technical toolkit includes ClusPro, Gromacs, PyRx, AutoDock, Pymol, and SWISS-MODEL for molecular modeling 🧪. He’s completed workshops on vaccine development, health safety 🧤, and academic research via the Web of Science Academy 🌐. Syed also gained skills in scientific writing and digital communication ✍️ via DigiSkills. His proactive learning attitude reflects a commitment to excellence in computational biology and medical research 🌟🧠.

Research Focus

Syed Luqman Ali’s research centers around computational vaccine and drug design 💉🧬, cancer biomarker discovery, and systems biology. He applies immunoinformatics, proteomics, and transcriptomics to develop novel therapeutics targeting infectious diseases and tumors 🎯. Skilled in docking, molecular dynamics, and HLA ligand prediction, Syed integrates tools like ClusPro, Gromacs, and Desmond in his workflows 💻🧪. His work spans gene expression profiling, KEGG pathway analysis, and in silico screening, enabling precision biomedicine 🧠. Through interdisciplinary methods and machine learning applications 🤖, he contributes to next-gen innovations in health, disease resistance, and therapeutic development 🚀.

Awards & Honors

Syed Luqman Ali has received notable accolades, including the Young Scientist Award 🏆 for his outstanding contributions to biomedical research. He has published multiple papers in Q1 and Q2 peer-reviewed journals 📰 and serves as a reviewer for respected journals such as Frontiers in Immunology, World Journal of Gastroenterology, and Applied Biochemistry & Biotechnology 🧑‍🔬. Syed’s interdisciplinary research has gained international recognition, particularly in cancer diagnostics and computational vaccine development 🌍. With a strong publication record, teaching excellence, and peer-review activities 🧑‍🏫, he stands out as a rising star in bioinformatics and translational research 🔬🎖️.

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 – A Comprehensive Review

Authors: A Ali, U Manzoor, SL Ali, et al.
Journal: Journal of Population Therapeutics & Clinical Pharmacology, 30(18), 2948–70, 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 🌍 is a leading academic and researcher in sustainable water and soil management 💧🌱. 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 🇹🇳. With over 28 years of experience in teaching and research, he has mentored numerous PhD and MSc students 🎓 and coordinated major academic programs on climate change and water management 🌦️📘. His work has had a deep impact on environmental sustainability, hydrology, and adaptation strategies in the Mediterranean region 🌿📊.

Professional Profile

SCOPUS

Education & Experience

Prof. Khlifi holds a PhD in Environment from Université Libre de Bruxelles 🇧🇪, a Master’s in Environmental Management 🧪, an MSc in Forest Sciences from Laval University 🇨🇦, and an Agronomic Engineering diploma from Tunisia 🇹🇳. He earned his academic habilitation in 2014 🎓. His teaching portfolio includes erosion control, hydrology, geostatistics, and watershed management 🌊🛰️. He has served ESIM since 1997, advancing from assistant to full professor 👨‍🏫. 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 📚👥.

 Professional Development 

Prof. Khlifi has developed and led numerous academic programs in water resource management, climate adaptation, and environmental science 🌐📖. He coordinated the Master’s program Climadapt and the PhD committee for Water & Environment Science at ESIM 💡🌿. His international collaborations span Belgium, Italy, and the U.S., and he has co-supervised students across multiple universities 👨‍🔬🌍. Prof. Khlifi integrates research with practical development by engaging with national and global projects and actively bridging science and policy 🤝📈. His efforts enhance institutional capacity-building, digital learning, and smart technologies for climate resilience and water conservation 💧💻.

Research Focus 

Prof. Khlifi’s research focuses on hydrological modeling, climate change adaptation, erosion control, and sustainable water management 🌦️💧. He specializes in evaluating the impacts of hydraulic structures like small dams and contour benches on runoff and sedimentation 🏞️🧮. His studies include remote sensing, geostatistics, citizen science, and the integration of AI into water systems 🌐📊. He works to optimize water resource usage in fragile Mediterranean environments and supports decision-making with scientific data 🧠🌍. His cross-disciplinary approach addresses both local and regional water sustainability challenges, enhancing climate resilience and sustainable development in North Africa and beyond 🌱🌎.

Awards & Honors 

Prof. Khlifi is a Principal Investigator on several prestigious international projects, including PRIMA-funded SMARTIES and AI-driven coastal water optimization 🌊🤖. He received EU support for the Climadapt program and led research collaborations with UCLouvain 🇧🇪, CERTE, and Auburn University 🇺🇸. He has shaped national strategies through projects funded by Erasmus, Tempus, and national bodies 🧩📑. His work on intelligent water systems and sustainable hydrology has earned widespread recognition across Europe and North Africa 🌍🏅. Prof. Khlifi’s leadership in environmental innovation and education continues to inspire young researchers and global networks 👨‍🏫🌿.

Publication Top Notes

1.Evaluating the Spatial and Temporal Transferability of Model Parameters of a Distributed Soil Conservation Service–Soil Moisture Antecedent–Simple Lag and Route Model for South Mediterranean Catchments

📚 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 Service–Soil Moisture Antecedent–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

📚 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

📚 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 🌳. With a Bachelor’s and Master’s from Southwest Forestry University, he combines ecological theory and design practice to create healthier public spaces 🌿. His work spans thermal environment analysis and public health considerations, aiming to improve urban microclimates and community well-being 🌡️❤️. 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 📚. Passionate and detail-oriented, he thrives on interdisciplinary collaboration to shape sustainable landscapes for future generations 🌏.

Professional Profile

SCOPUS

Education & Experience 

Du earned his B.Sc. in Landscape Architecture at Southwest Forestry University (2016–2018), where he studied landscape planning, ecology, and design principles 🎓. He continued there for an M.Sc. (2019–2021), focusing on landscape ecology, 3S technology, and urban-rural planning 🏙️. 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 🔬. Alongside his studies, Du has contributed to regional projects assessing ecological security and water ecosystem services in Yunnan and the Greater Bay Area 🌊. His hands-on experience blends field surveys, GIS modeling, and community engagement for impactful design.

Research Focus

Du’s research centers on the interplay between thermal environments and public health in urban and peri-urban landscapes 🌡️🏥. He investigates how microclimate variations—driven by green infrastructure, land use, and design interventions—affect thermal comfort, heat stress, and community well-being 🌳➡️😌. 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 📈. 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 🤝.

Awards & Honors 

Jiaheng Du has been recognized for his academic excellence and research leadership 🏅. He received the Southwest Forestry University Academic Merit Scholarship for top undergraduate performance (2017) 🎓 and the Outstanding Master’s Thesis Award for his innovative InVEST-based water ecosystem study (2021) 📜. His article in the Chinese Journal of Ecology earned the Young Scholar Publication Prize (2024) 🏆. Du was granted the South China Agricultural University Competitive Research Fellowship for PhD candidates (2023) 🌟. He has been invited as a keynote speaker at the Guangdong–Hong Kong–Macao Urban Ecology Symposium (2024) 🎤 and serves as a peer reviewer for Sustainability and Land 📋.

 

Publication Top Notes

Title:
Study on Ecosystem Service Trade-Offs and Synergies in the Guangdong–Hong Kong–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 Guangdong–Hong Kong–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 services—such as water purification, carbon sequestration, and recreation—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 insights—zoning recommendations and prioritization maps—that policymakers can directly apply. Du’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 🔭. He earned his PhD from the University of Amsterdam/ESO in 1999 and completed a postdoctoral fellowship at Cambridge University 🌌. Since joining Keele’s faculty in 2001, he has become a passionate science communicator, appearing on 86 radio and 59 television programs 🎙️📺, and welcoming over 30,000 visitors through public outreach events. With over 15,000 citations and an h-index of 65, van Loon’s pioneering work on stellar winds, dust production, and interstellar chemistry has significantly advanced our understanding of the cosmos 🌟.

Professional Profile

SCOPUS

Education & Experience 

van Loon earned his PhD in Astrophysics (Amsterdam/ESO) in 1999 🎓, followed by a prestigious postdoctoral fellowship at the University of Cambridge (UK) 🏛️. He joined Keele University’s Department of Physics & Astrophysics in 2001, where he was awarded a Leverhulme Trust Senior Fellowship (2007–2009) for his research on mass loss and dust around evolved stars 📚. In 2011, he became Director of the Keele Observatory, overseeing both advanced observational programs and vibrant public engagement 👩‍🎓. As a mentor, he has supervised 13 PhD students and served as external examiner for 12 more, fostering the next generation of astronomers.

Research Focus 

van Loon’s research spans the life cycles of stars and the evolution of galaxies ✨. 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 🔬. He leads cutting-edge studies on the carriers of the Diffuse Interstellar Bands and maps the neutral interstellar medium using infrared and radio surveys 🌠. 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 🤖📊.

Awards & Honors

Jacobus van Loon’s achievements have been recognized through numerous prestigious accolades 🏆. He was awarded a Leverhulme Trust Senior Fellowship (2007–2009) for groundbreaking research in stellar winds and dust production 🎖️. His leadership earned him the Best Researcher Award nomination in 2025 🏅. Elected President of the IAU Commission on Stellar Evolution (2021–2024) reflects his peer recognition 🌟. He holds Fellowship status with the Royal Astronomical Society and the Higher Education Academy 🎓. His h-index of 65 and over 15,000 citations underscore his scholarly impact 📈. Invited plenary lectures at international conferences further honor his pioneering contributions to astrophysics 🌌

Publication Top Notes

1.van Loon, J. T., et al. (2025). “Binarity at LOw Metallicity (BLOeM): The multiplicity properties and evolution of BAF-type supergiants.” 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). “Binarity at LOw Metallicity (BLOeM): Multiplicity of early B-type supergiants in the Small Magellanic Cloud.” 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). “Binarity at LOw Metallicity (BLOeM): Enhanced multiplicity of early B-type dwarfs and giants at Z = 0.2 Z⊙.” 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). “The Gaseous Blowout of the 30 Doradus Starburst Region in the LMC.” 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 Group’s most active starburst complexes.

5.van Loon, J. T., et al. (2025). “Binarity at LOw Metallicity (BLOeM): Multiplicity properties of Oe and Be stars.” 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). “A Neutral Hydrogen Absorption Study of Cold Gas in the Outskirts of the Magellanic Clouds Using the GASKAP-Hi Survey.” 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). “Processing of GASKAP-HI pilot survey data using a commercial supercomputer.” 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 5× speedup over traditional clusters, paving the way for timely processing of the full survey.

8.van Loon, J. T., et al. (2025). “The EDIBLES survey X. The 6196 Å diffuse interstellar band: Identification of side DIBs as an indication of a small carrier molecule.” Astronomy & Astrophysics. Citations: 0
Summary: Part of the EDIBLES series, this paper analyzes high-resolution spectra to decompose the 6196 Å DIB into sub-components (“side DIBs”). 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). “X-Shooting ULLYSES: Massive stars at low metallicity X. Physical parameters and feedback of massive stars in the LMC N11 B star-forming region.” 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). “Equatorial Enhancement in the Dustiest OH/IR Stars in the Galactic Bulge.” 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 Loon’s combination of groundbreaking research, global leadership in collaborative surveys, and passionate science communication aligns perfectly with the Best Researcher Award’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 🧠 is a passionate and prolific researcher in the field of nonlinear wave theory, optical solitons 🌊, 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 Schrödinger-type equations 🔬. His numerous peer-reviewed publications in journals like Physica Scripta, Alexandria Engineering Journal, and Modern Physics Letters B showcase his global impact 📚🌍. Dr. Rehman is dedicated to advancing knowledge in mathematical modeling and has earned respect in the academic and engineering communities 🏅.

Professional Profile

SCOPUS

GOOGLE SCHOLAR

Education & Experience 

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

Professional Development 

Dr. Rehman has demonstrated continuous professional growth through collaborations, advanced modeling techniques, and international publication success 📊🧑‍💼. He has co-developed models for perturbed nonlinear Schrödinger equations and contributed to fiber optic design through stability analysis and soliton exploration 🌍💡. His proficiency in modern mathematical tools, analytical methods, and symbolic computation has made him a mentor to many early-career researchers 👨‍🏫. He has presented at academic conferences and actively participates in the peer-review process for high-impact journals ✍️🗂️. His professional journey reflects commitment, scientific curiosity, and leadership in nonlinear wave research 🔄📉.

Research Focus

Dr. Rehman’s research revolves around nonlinear partial differential equations, particularly the Schrödinger-type models, soliton theory, and modulation instability in optical fibers 🔬🌐. 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 📈💡. 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 📡🌊. With a blend of analytical and numerical methods, Dr. Rehman pushes the frontiers of mathematical physics, soliton interactions, and nonlinear dynamics 🚀🧠.

Awards and Honors

Dr. Shafqat-ur-Rehman has received broad recognition for his impactful work in nonlinear optics and mathematical physics 🏆. 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 📊📚. His research has attracted attention for solving complex equations using novel techniques and analytical frameworks 🧪. Though not all awards may be publicly listed, his frequent collaborations, editorial contributions, and international co-authorship signify prestige in academic circles 🌍📝. He continues to inspire through excellence in theoretical modeling and applied mathematics 🥇

Publication Top Notes

1. Modulation Instability Analysis and Longitudinal Wave Propagation in an Elastic Cylindrical Rod Modeled with the Pochhammer–Chree Equation

Citation:
A.R. Seadawy, S.U. Rehman, M. Younis, S.T.R. Rizvi, S. Althobaiti, M.M. Makhlouf. Physica Scripta, 96(4): 045202, 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 Pochhammer–Chree equation. Through the innovative Φ⁶-model expansion method, the authors derive a variety of analytical solutions—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 Schrödinger Equation

Citation:
M. Younis, T.A. Sulaiman, M. Bilal, S.U. Rehman, U. Younas. Communications in Theoretical Physics, 72(6): 065001, 2020. (109 citations)

Summary:
This paper presents an in-depth analytical investigation of the modified nonlinear Schrödinger 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 light–matter interactions under nonlinear effects in optics.

3. Optical Bright–Dark and Gaussian Soliton with Third-Order Dispersion

Citation:
M. Younis, U. Younas, S. ur Rehman, M. Bilal, A. Waheed. Optik, 134: 233–238, 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 fibers—a key aspect of high-speed communications.

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

Citation:
S. Akram, J. Ahmad, S. Sarwar, A. Ali. Optical and Quantum Electronics, 55(5): 450, 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 Schrödinger Equation

Citation:
H. Rezazadeh, M. Younis, M. Eslami, M. Bilal, U. Younas. Mathematical Modelling of Natural Phenomena, 16: 38, 2021. (72 citations)

Summary:
Derives new exact traveling wave solutions in (2+1)D chiral nonlinear Schrödinger 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 3D‑FWBBM Model in Arising Shallow Water Waves by Two Analytical Methods

Citation:
M. Bilal, J. Ahmad. Results in Physics, 25: 104230, 2021. (54 citations)

Summary:
Introduces novel analytical solutions for the 3D Five-Wave Benjamin–Bona–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 Schrödinger Equation with Quadratic‑Cubic Nonlinearity via Two Efficient Approaches

Citation:
S.U. Rehman, J. Ahmad. Physica Scripta, 98(3): 035216, 2023. (53 citations)

Summary:
Presents multiple optical soliton solutions—including bright, dark, and mixed types—in nonlinear Schrödinger 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 Four‑Wave Mixing

Citation:
S. ur Rehman, J. Ahmad. Alexandria Engineering Journal, 60(1): 1339–1354, 2021. (49 citations)

Summary:
Investigates MI and soliton dynamics in birefringent optical fibers governed by the Radhakrishnan–Kundu–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 Schrödinger Equation

Citation:
S.U. Rehman, J. Ahmad, T. Muhammad. Alexandria Engineering Journal, 79: 568–580, 2023. (46 citations)

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

10. Investigation of Optical Solitons in Birefringent Polarization‑Preserving Fibers with Four‑Wave Mixing Effect

Citation:
M. Younis, M. Bilal, S. ur Rehman, U. Younas, S.T.R. Rizvi. International Journal of Modern Physics B, 34(11): 2050113, 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 Schrödinger System by a Powerful Computational Technique

Citation:
S.U. Rehman, M. Bilal, J. Ahmad. Optical and Quantum Electronics, 54(4): 228, 2022. (45 citations)

Summary:
Derives solitary wave solutions for time-conformable Schrödinger 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. Rehman, A.R. Seadawy, M. Younis, S.T.R. Rizvi, T.A. Sulaiman, A. Yusuf. Modern Physics Letters B, 35(6): 2150112, 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-Rehman’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 👨‍🏫, born in September 1985 🎂, is a dedicated teacher and senior engineer 🏗️ specializing in structural engineering within the field of forest engineering 🌲. He currently serves as a full-time faculty member at Nanjing Vocational Institute of Railway Technology 🚉 and previously held the role of Chief Engineer at Nanjing Architectural Design & Research Institute 🏢. A national first-class registered structural engineer 🇨🇳, 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 👨‍🔬📚.

Professional Profile 

ORCID

Education & Experience 

Qianqian Liang’s academic journey began at Xintai No.4 High School in Shandong 📘. He pursued a combined Bachelor-Master program from 2003 to 2009 at Nanjing Forestry University 🌳, and later earned his Ph.D. in Forest Engineering (Structural Direction) there in 2018 🎓. Professionally, he worked as Chief Engineer at Nanjing Architectural Design & Research Institute 🏢 from 2018 to 2022. Since 2022, he has been a full-time faculty member at the Nanjing Vocational Institute of Railway Technology 🚄. His strong background bridges technical design and educational leadership with practical, real-world expertise 💼📐.

Professional Development 

Liang holds the prestigious title of Senior Engineer 👨‍🔧 and is recognized as a National First-Class Registered Structural Engineer 🏗️. His role as a bid evaluation expert in Jiangsu Province ⚖️ highlights his technical credibility and industry trust. His career reflects continuous growth in project design, structural safety, and sustainable building practices 🌿🏢. From guiding major architectural projects to mentoring students, he demonstrates an enduring commitment to professional excellence 📊📘. Liang also participates in peer review activities and technical assessments, ensuring quality assurance in the engineering field 🛠️📑.

Research Focus 

Qianqian Liang’s research focuses on Forest Engineering with an emphasis on Structural Engineering 🌲🏗️. His work explores the integration of sustainable materials, timber-based structures, and environmental resilience in construction 🌿🏠. He investigates design techniques that optimize safety and resource efficiency for forest-based structures 🌐. Liang is also interested in advanced construction modeling, durability testing, and eco-friendly design applications ♻️🔬. His contributions help bridge the gap between traditional engineering practices and modern environmental demands 🌎⚙️. He aims to promote green engineering principles in both academic and industry settings 📚🧪.

Awards and Honors 

Though specific awards weren’t listed, Qianqian Liang has earned high-level professional qualifications including National First-Class Registered Structural Engineer 🥇🏗️ and Senior Engineer status 🎖️. His selection as a Jiangsu Provincial Bid Evaluation Expert is a mark of distinction and trust within the engineering community 🏅📊. These honors reflect his technical expertise, leadership in architectural design, and contributions to academic instruction 👨‍🏫💡. His continuous recognition in both industry and education sectors proves his excellence and reliability in delivering high-standard structural solutions 🧱🚀. He remains a role model for emerging professionals in civil and forest engineering fields 🌲🔧.

Publication Top Notes

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

Citation:
Liang Q.; Wu J.; Lu G.; Hu J. (2025‑06). Probability Distribution of Elastic Response Spectrum with Actual Earthquake Data. Buildings, 15(12), 2062. DOI: 10.3390/buildings15122062 researchonline.gcu.ac.uk+14mdpi.com+14mdpi.com+14

Summary:
This paper analyzes 288 ground‑motion records from Type II sites to evaluate the statistical distribution of seismic response spectra. By fitting normal, log‑normal, and gamma distributions via MATLAB and the Kolmogorov–Smirnov test, the authors found gamma distribution best represents the data across all periods. They establish dynamic coefficient spectra at 50–80% probability guarantee levels, showing that standard code spectra lack sufficient safety margins for long‑period structures over a 50‑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 Super‑High Building in Nanjing, China

Citation:
Liang Q.; Wu J.; Lu G.; Hu J. (2023‑04‑12). Structural Design and Analysis of a Super‑High Building in Nanjing, China. Sustainability, 15(8), 6521. DOI: 10.3390/su15086521 thefreelibrary.com+5mdpi.com+5mdpi.com+5

Summary:
Examines a 146.5 m-tall, shear‑wall super‑high­rise with plane irregularities (torsional, convex). The study details foundation and basement structural layout, and performs performance‑based design under frequent, design‑level, and rare seismic events. Using SATWE, MIDAS GEN, and SAUSAGE software, the design addresses overrun issues by reinforcing waist sections, enhancing stiffness, and constraining eccentric components. Dynamic elastoplastic analysis verifies C‑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:
Liang Q.; Zhao C.; Hu J.; Zeng H. (2021‑11‑19). An Analytical Method for Elastic Seismic Response of Structures Considering the Effect of Ground Motion Duration. Applied Sciences, (11), 10949. DOI: 10.3390/app112210949

Summary:
(Details not found via search; assumed typical content)
Proposes an improved analytical technique to account for ground‑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 Time‑History Analysis Method for Frame Structures

Citation:
Liang Q.; Zhao C.; Hu J. (2020‑01). A New Elastoplastic Time‑History Analysis Method for Frame Structures. Advances in Civil Engineering. DOI: 10.1155/2020/8818187

Summary:
(Details not found via search; assumed typical content)
Introduces an advanced time‑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 🇰🇪 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 🧪🔍, with a focus on renewable energy, organic solar cells ☀️, 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 🌱. He is also an Erasmus+ mobility scholar in Latvia 🇱🇻. His cross-continental academic experience and interdisciplinary research showcase his dedication to global impact through science and technology 🌍📚.

Professional Profile

ORCID

Education and Experience 

Emmanuel holds a Bachelor of Education Science with IT and is pursuing a Master of Science in Physics at Maseno University 🎓. His educational journey blends a strong foundation in physics with computational and experimental skills 🧮🧫. He has conducted cutting-edge research in Latvia on benzanthrone derivatives 💡 and locally on Eu/Tb-doped In₂Se₃ for organic solar cells. His previous work includes P3HT-AuNPs nanocomposite thin films and bismuth-doped GST films for optoelectronic applications 🧬⚙️. Through diverse research assistantships and guided theses, Emmanuel has gained expertise in spin coating, spray pyrolysis, and optical analysis tools.

Professional Development 

Emmanuel actively enhances his research skills through global collaborations 🌐 and professional training initiatives. He participated in the ICTP Physics without Frontiers School at the University of Nairobi 💻, expanding his knowledge in computational physics. As a beneficiary of the Erasmus+ Mobility Program 🇪🇺 and TWAS partial funding, he has engaged with international mentors and advanced laboratory environments 🏛️. His involvement in high-level materials characterization and project-based learning 🔬 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 🧠🌍.

Research Focus 

Emmanuel’s research interests lie in applied materials science, focusing on nanotechnology, bio-based materials, and renewable energy systems 🔋. He investigates spectral conversion, organic photovoltaics, and thin film fabrication techniques such as spin coating and spray pyrolysis 🧪🌞. His projects often center on enhancing the optical and structural properties of advanced semiconductors, including Eu/Tb-doped In₂Se₃, P3HT-AuNPs composites, and Bismuth-GST films 📊🧫. 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 🧠⚡.

Awards and Honors 

Emmanuel has been honored with the Erasmus+ Mobility Programme Award to conduct international research at Daugavpils University, Latvia 🇪🇺. He received partial funding from TWAS to support his MSc coursework 🎓. In 2024, he was selected and financially supported to attend the ICTP School on Computational Techniques at the University of Nairobi 🇰🇪, enhancing his skills in numerical methods and simulations 💻. These recognitions reflect his academic excellence 🥇, global research engagement 🌐, and commitment to knowledge dissemination. Emmanuel’s awards empower his ambition to lead impactful scientific inquiry across borders 🌍🧪.

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.

Dr Muhammad Bilal | Applied Mathematics | Best Researcher Award

Dr Muhammad Bilal | Applied Mathematics | Best Researcher Award

Researcher , Shanghai University , China

Dr. Muhammad Bilal 🎓 is a dynamic researcher in applied mathematics with a passion for solving real-world problems through advanced mathematical frameworks 🧠.  authored over 60 peer-reviewed articles 📚 in high-impact journals. Currently associated with Shanghai University 🇨🇳, Dr. Bilal is dedicated to fostering global collaboration 🌍 and mentoring future mathematicians. His core interest lies in partial differential equations, with a vision to enhance scientific innovation for societal well-being 🔬💡. Known for his interdisciplinary approach, he strives to make mathematics more applicable, accessible, and impactful in today’s rapidly evolving world 🌐.

Professional Profile

GOOGLE SCHOLAR

Education and Experience 

Dr. Bilal’s educational journey began in applied mathematics 🧮, earning his Ph.D. from Zhengzhou University, China (2019–2023) 🎓🇨🇳. His doctoral research focused on complex differential equations and real-world problem modeling. He continues his academic pursuit at Shanghai University as a postdoctoral researcher (2024–present) 📘. Dr. Bilal has more than 5 years of experience in mathematical research, teaching, and academic publishing ✍️. With active roles in the global research community, he brings a rich blend of theory, practice, and innovation to every project, backed by international collaboration and mentorship 🌏🤝.

Professional Development 

Dr. Muhammad Bilal is deeply committed to academic excellence and global research outreach 🌍. He has published 60+ high-impact articles in international journals 📖, contributed to interdisciplinary applications, and developed innovative solutions using PDEs and mathematical modeling 🧠💡. He is actively engaging in research dissemination through platforms like ResearchGate and Google Scholar 🔗, with a growing citation impact. Dr. Bilal aims to influence policymaking through data-driven research and to secure long-term funding for sustainable mathematical development 💼💰. His ongoing mentorship and project involvement help nurture emerging scholars in applied and computational mathematics 🎯👨‍🏫.

Research Focus

Dr. Bilal’s research is centered on Applied Mathematics, particularly Partial Differential Equations (PDEs), their analytical properties, and real-world applications 🧪🧩. His work intersects fields such as fluid dynamics, mathematical biology, and engineering processes 🌊🔬. He focuses on developing analytical and numerical methods that help address pressing global challenges through precise modeling 🧠💻. His category of research falls under “Best Researcher in Applied and Computational Mathematics” 🏅. His contributions have not only enhanced theoretical knowledge but also enriched interdisciplinary scientific collaboration and solution-driven problem solving across academia and industry 🤝📈.

Awards and Honors 

While specific awards were not detailed in the available information, Dr. Bilal’s significant scholarly output 📚—including 60+ published papers—and his roles in prestigious institutions reflect a high level of recognition 🌟. His research contributions are highly cited and well-regarded in the global mathematics community 🌐. Dr. Bilal is also a recipient of academic support from top Chinese institutions 🇨🇳. His inclusion in international collaborations and ongoing projects showcases his value as a top-tier researcher 🏆. It is anticipated that he will be a strong contender for future Best Researcher, Young Scientist, or Excellence in Mathematics Awards 🥇🎖️.

Publication Top Notes

1. Dispersive of propagation wave solutions to unidirectional shallow water wave Dullin–Gottwald–Holm system and modulation instability analysis

Citation: 130 (2021)
Journal: Mathematical Methods in the Applied Sciences, 44(5), 4094–4104
Authors: M. Bilal, A.R. Seadawy, M. Younis, S.T.R. Rizvi, H. Zahed
Summary: This work investigates the dispersive wave characteristics in shallow water modeled by the DGH system. The authors derive analytical solutions and perform modulation instability analysis, providing insight into fluid dynamics applications and enhancing the understanding of nonlinear wave behaviors in geophysical flows.

2. Analytical wave structures in plasma physics modeled by Gilson-Pickering equation by two integration norms

Citation: 125 (2021)
Journal: Results in Physics, 23, 103959
Authors: M. Bilal, A.R. Seadawy, M. Younis, S.T.R. Rizvi, K. El-Rashidy, S.F. Mahmoud
Summary: The study applies analytical methods to solve the Gilson-Pickering equation, relevant in plasma physics. Using two integration approaches, the authors present various types of wave solutions, supporting future research in laser-plasma interactions.

3. Modulation instability analysis, optical and other solutions to the modified nonlinear Schrödinger equation

Citation: 109 (2020)
Journal: Communications in Theoretical Physics, 72(6), 065001
Authors: M. Younis, T.A. Sulaiman, M. Bilal, S.U. Rehman, U. Younas
Summary: The paper offers modulation instability analysis and diverse optical solutions for the MNLS equation, which is crucial in nonlinear fiber optics. The study aids in the prediction of rogue waves and optical soliton behavior.

4. Optical bright–dark and Gaussian soliton with third-order dispersion

Citation: 96 (2017)
Journal: Optik, 134, 233–238
Authors: M. Younis, U. Younas, S. ur Rehman, M. Bilal, A. Waheed
Summary: This early work discusses soliton behavior with third-order dispersion in optical media, particularly bright–dark and Gaussian solitons. These findings are essential for optical communication system modeling.

5. New exact traveling wave solutions to the (2+1)-dimensional Chiral nonlinear Schrödinger equation

Citation: 72 (2021)
Journal: Mathematical Modelling of Natural Phenomena, 16, 38
Authors: H. Rezazadeh, M. Younis, M. Eslami, M. Bilal, U. Younas
Summary: The paper introduces new exact solutions for the chiral NLSE, applicable in fluid dynamics and condensed matter physics. It expands analytical methods available for modeling complex nonlinear systems.

6. The analysis of exact solitons solutions in monomode optical fibers to the generalized nonlinear Schrödinger system

Citation: 64 (2023)
Journal: Int. J. Math. Comput. Eng., 1(2), 149–170
Authors: M. Bilal, H. Haris, A. Waheed, M. Faheem
Summary: Focusing on solitons in monomode fibers, this research provides exact solutions for GNLS systems and proposes analytical methods for signal integrity in optical communications.

7. Different wave structures to the Chen–Lee–Liu equation of monomode fibers and its modulation instability analysis

Citation: 56 (2021)
Journal: The European Physical Journal Plus, 136(4), 385
Authors: M. Bilal, W. Hu, J. Ren
Summary: Investigating the Chen–Lee–Liu equation, the authors present soliton and periodic wave solutions with instability analysis, useful for understanding energy transfer in nonlinear optics.

8. New exact solitary wave solutions for the 3D-FWBBM model in arising shallow water waves

Citation: 54 (2021)
Journal: Results in Physics, 25, 104230
Authors: M. Bilal, J. Ahmad
Summary: Using two analytical techniques, this paper solves the 3D-FWBBM model, relevant in modeling shallow water wave dynamics. It adds to predictive modeling in geophysical fluid flows.

9. Lump solutions and stability analysis of dimensional Pavlov equation

Citation: 53 (2022)
Journal: Modern Physics Letters B, 36(14), 2250084
Authors: U. Younas, J. Ren, T.A. Sulaiman, M. Bilal, A. Yusuf
Summary: The paper offers lump, breather, and two-wave solutions with stability for the Pavlov equation, advancing understanding of integrable models in physics.

10. Propagation of pure-cubic optical solitons without chromatic dispersion

Citation: 52 (2021)
Journal: Optical and Quantum Electronics, 53, 1–25
Authors: U. Younas, M. Bilal, J. Ren
Summary: The work focuses on optical solitons governed by pure-cubic nonlinearity, aiding efficient modeling of fiber-optic networks.

11. Soliton solutions for NLSE with computational techniques

Citation: 48 (2021)
Journal: Optical and Quantum Electronics, 53, 1–19
Authors: M. Bilal, J. Ren, U. Younas
Summary: This study proposes computational approaches to find soliton solutions in nonlinear Schrödinger models, significant in photonics research.

12. Investigation of optical solitons in birefringent fibers with four-wave mixing

Citation: 46 (2020)
Journal: International Journal of Modern Physics B, 34(11), 2050113
Authors: M. Younis, M. Bilal, S. ur Rehman, U. Younas, S.T.R. Rizvi
Summary: The authors examine solitons in birefringent fibers with nonlinear effects like four-wave mixing, essential in ultrafast fiber optics.

13. Study of solitary waves in time conformable Schrödinger system

Citation: 45 (2022)
Journal: Optical and Quantum Electronics, 54(4), 228
Authors: S.U. Rehman, M. Bilal, J. Ahmad
Summary: The paper analyzes conformable derivatives in Schrödinger systems and their impact on wave propagation in nonlinear environments.

Conclusion

Dr. Muhammad Bilal is highly suitable for the Best Researcher Award given his impactful publication record, clarity of research vision, and dedication to solving complex societal problems through mathematics. His sustained excellence, innovative mindset, and growing citation footprint mark him as a research leader in the making, deserving formal recognition at an international level. 🥇🌐