Arwa Al-Dekah | Public Health | Best Researcher Award

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Mrs. Arwa Al-Dekah | Public Health | Best Researcher Award

Researcher and data analyst at Jordan University of Science and Technology, Jordan

Arwa Menazel Khalaf Aldeikeh is a highly dedicated and skilled researcher with a strong academic background in biotechnology and applied biological sciences. With extensive experience as a research assistant, data analyst, and scientific writer, she has contributed significantly to biomedical research, particularly in behavioral neuroscience and public health. Her technical expertise in STATA, Excel, PCR, DNA sequencing, and bibliometric analysis reflects a versatile and analytical mindset. She has demonstrated a clear commitment to continuous learning through specialized training in vaccination, child health, and migration-related health issues. While she has yet to showcase high-impact publications or independent project leadership, her professional experience and passion for research mark her as a promising and emerging scholar. Her work at the Kernel Center and Jordan University of Science and Technology further illustrates her active engagement in the research community. Arwa is a strong candidate for the Best Researcher Award, particularly at the national or institutional level.

Professional Profile

Google Scholar | Scopus Profile | ORCID Profile

Education

Arwa Menazel Khalaf Aldeikeh holds a strong academic background in the field of biotechnology and genetic engineering. She earned her Master’s degree in Applied Biological Sciences from the Jordan University of Science and Technology (JUST) between 2016 and 2018, graduating with an excellent GPA. Her postgraduate education focused on advanced topics in biotechnology, molecular biology, and applied research, laying a solid foundation for her scientific career. Prior to her master’s, she completed her Bachelor of Science in Biotechnology and Genetic Engineering from the same university in 2009 with a good academic standing. Her early education includes a high school certificate (Tawjihi) obtained in Jordan with a GPA of 81.4%, indicating consistent academic performance. In addition to her formal degrees, Arwa has completed various training programs and certified courses in PCR, DNA sequencing, and laboratory techniques, further enriching her educational qualifications and preparing her for a diverse range of research and laboratory roles.

Professional Experience

Arwa Menazel Khalaf Aldeikeh has accumulated a diverse and impactful professional experience in research, teaching, and laboratory work. She has served as a Research Assistant and Data Analyst at both the Kernel Center for Research and Data Analytics and Jordan University of Science and Technology from 2022 to 2024, where she specialized in data analysis, bibliometric studies, manuscript preparation, and research coordination. Her earlier roles include working as a Teaching Assistant in the Department of Biotechnology and Genetic Engineering and participating in hands-on research involving behavioral testing and PTSD models in rats. Arwa also has experience as a part-time science and biology teacher in multiple institutions, demonstrating her commitment to science education. Additionally, she worked in technical laboratory settings, gaining clinical experience at Marka Islamic Specialty Hospital and King Abdullah University Hospital. Her professional journey reflects a balanced integration of academic research, technical lab expertise, and educational service, showcasing her well-rounded capabilities.

Research Interest

Arwa Menazel Khalaf Aldeikeh’s research interests lie at the intersection of biotechnology, public health, and behavioral science. She is particularly drawn to applied biological research that addresses pressing medical and health-related challenges. Her work has involved studying neurological and psychological disorders using animal models, such as post-traumatic stress disorder (PTSD) and behavioral memory tests like the Radical Arm Water Maze (RAWM). In addition, she is deeply engaged in data-driven research, including bibliometric and scientometric analysis, which allows for systematic evaluation of scientific trends and research impact. Arwa is also interested in the integration of molecular biology techniques—such as PCR, DNA sequencing, and genetic analysis—with public health strategies, especially in areas like vaccination programs, child health, and health in migration settings. Her multidisciplinary approach reflects a commitment to bridging laboratory science with real-world health applications, aiming to contribute to both academic research and the development of effective, evidence-based health interventions.

Award and Honor

Arwa Menazel Khalaf Aldeikeh has actively pursued opportunities to enhance her academic and research profile through specialized certifications and international academic participation. Notably, she was selected to attend the prestigious International Summer School on “Migration and Health: Lens on the Middle East” in December 2023, jointly organized by the Jordan University of Science and Technology and Heidelberg University’s Institute of Global Health. This program highlighted her academic excellence and commitment to global health issues. In addition, she completed several professional training programs offered by the Jordan Center for Disease Control (JCDC) and the Children Immunization App (CIMA), covering critical topics such as vaccination program development, global immunization equity, and nutrition-immunization synergy for child health. These certifications reflect her dedication to continuous learning and professional growth. While she has not yet received major individual research awards, her consistent involvement in academic excellence and professional development signifies strong potential for future honors in biomedical and public health research.

Research Skill

Arwa Menazel Khalaf Aldeikeh possesses a comprehensive and versatile set of research skills that support her effectiveness across multiple scientific domains. She is proficient in both qualitative and quantitative research design, with strong analytical capabilities using tools such as STATA and Microsoft Excel. Her expertise extends to conducting advanced bibliometric and scientometric analysis, enabling her to evaluate research trends and scholarly impact with precision. Arwa is also skilled in laboratory techniques, including PCR, DNA extraction, gel electrophoresis, and sequencing, which she applies in molecular biology and genetics research. Her experience in behavioral studies involving animal models further demonstrates her ability to manage experimental protocols and data collection. In addition to technical skills, she excels in manuscript writing, editing, and submission, as well as coordinating research projects and preparing scientific content for academic and social media platforms. Her strong presentation, communication, and problem-solving skills further enhance her capacity as a well-rounded and independent researcher.

Publications Top Noted

  • Title: L-Carnitine prevents memory impairment induced by post-traumatic stress disorder
    Authors: KH Alzoubi, AM Al-Dekah, S Jaradat, N Alrabadi
    Year: 2022
    Citations: 10

  • Title: Medical magnetic resonance imaging publications in Arab countries: A 25-year bibliometric analysis
    Authors: BA Albadayneh, A Alrawashdeh, N Obeidat, AM Al-Dekah, AW Zghool, …
    Year: 2024
    Citations: 5

  • Title: The status quo of psychology research on refugees, asylum-seekers and displaced people: a global bibliometric analysis
    Authors: AM Al-Dekah, A Alrawashdeh, S Bellizzi, AH Al-Mistarehi, KA Kheirallah
    Year: 2025
    Citations: 4

  • Title: Mapping trends and hotspots of research on COVID-19 vaccine effectiveness: A comprehensive bibliometric analysis of global research
    Authors: JW Alsulaiman, A Alzoubi, A Alrawashdeh, AM Al-Dekah, S Abubaker, …
    Year: 2025
    Citations: 3

  • Title: Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review
    Authors: A Alrawashdeh, S Alqahtani, ZI Alkhatib, K Kheirallah, NY Melhem, …
    Year: 2024
    Citations: 2

  • Title: The status quo of pharmacogenomics of tyrosine kinase inhibitors in precision oncology: a bibliometric analysis of the literature
    Authors: A Alzoubi, H Shirazi, A Alrawashdeh, AM Al-Dekah, N Ibraheem, …
    Year: 2024
    Citations: 2

  • Title: Role of artificial intelligence in early identification and risk evaluation of non-communicable diseases: a bibliometric analysis of global research trends
    Authors: AM Al-Dekah, W Sweileh
    Year: 2025
    Citations: 1

  • Title: Global Research Trends, Hotspots, Impacts, and Emergence of Artificial Intelligence and Machine Learning in Health and Medicine: A 25-Year Bibliometric Analysis
    Authors: A Dalky, M Altawalbih, F Alshanik, RA Khasawneh, R Tawalbeh, …
    Year: 2025
    Citations: 1

  • Title: Mapping research trends and hotspots of artificial intelligence, and machine learning in medicine and health within the Eastern Mediterranean region‎: A comprehensive …
    Authors: AM Al-Dekah
    Year: 2025
    Citations: Not listed

  • Title: Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review–ADDENDUM
    Authors: A Alrawashdeh, S Alqahtani, ZI Alkhatib, K Kheirallah, NY Melhem, …
    Year: 2025
    Citations: Not listed

  • Title: Bibliometric Analysis and Predictors of Citations for Publications of a Higher Institution
    Authors: A Alrawashdeh, AM Al-Dekah, KA Kheirallah
    Year: Not specified
    Citations: Not listed

Conclusion

Arwa Menazel Khalaf Aldeikeh presents herself as a dedicated, skilled, and multifaceted researcher, particularly strong in applied biological sciences, biotechnology, data analytics, and public health education. Her active engagement in academic research, technical skill set, and participation in specialized training underscore her potential to contribute meaningfully to the scientific community. While the absence of high-impact publications and documented leadership in independent research projects may currently limit her competitiveness for top-tier global awards, she demonstrates all the essential qualities of an emerging research leader. With focused efforts on scientific publishing and expanding international collaborations, Arwa is certainly a deserving candidate for the Best Researcher Award in a national or institutional context, with promising potential for greater academic achievements in the future.

Minzhao Lin | Biomedical Engineering | Best Researcher Award

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Dr. Minzhao Lin | Biomedical Engineering | Best Researcher Award

Lecturer at Dezhou University, China

Minzhao Lin, a Lecturer at Dezhou College and Ph.D. candidate in Biology and Medicine at Sun Yat-sen University, stands out as a highly promising candidate for the Best Researcher Award. His research focuses on ultrasound-based drug delivery, nanomedicine, and cancer immunotherapy—fields at the cutting edge of biomedical innovation. With over 24 peer-reviewed publications, including articles in Nature Communications, Biomaterials, and Advanced Science, Lin has made significant contributions to targeted therapies and tumor microenvironment modulation. He demonstrates technical mastery in nanocarrier design, molecular biology, and in vivo cancer models, supported by active roles in national key research projects and lab management. His interdisciplinary approach and early leadership in project coordination highlight both academic excellence and practical impact. While he could benefit from increased international exposure and independent research initiatives, his achievements clearly mark him as an outstanding young scientist, making him a strong contender for this prestigious recognition.

Professional Profile

Education🎓

Minzhao Lin has pursued a well-rounded and progressive academic journey that reflects his commitment to interdisciplinary scientific excellence. He is currently completing his Ph.D. in Biology and Medicine at Sun Yat-sen University (2020–2024), where his research focuses on nanomedicine, cancer immunotherapy, and ultrasound-responsive drug delivery systems. Prior to this, he earned a Master’s degree in Plant Prevention and Biomaterials from South China Agricultural University (2017–2020), deepening his expertise in biofunctional materials and environmental interactions. His academic foundation was laid with a Bachelor’s degree in Environmental Science from the same university (2013–2017), where he graduated with a high GPA of 4.15/5 and ranked 5th out of 330 students, a testament to his early academic excellence. Lin’s multidisciplinary education across environmental science, biomaterials, and biomedical sciences equips him with a unique ability to integrate principles from different scientific domains, making him exceptionally well-prepared for advanced research and innovation in the

field.

Professional Experience📝

Minzhao Lin has developed a strong professional foundation through a blend of academic research, project management, and teaching. Currently serving as a Lecturer at Dezhou College, he is actively involved in mentoring students and contributing to the academic community. During his Ph.D. at Sun Yat-sen University (2020–2024), he played a key administrative role in managing national research projects, including the National Natural Science Foundation of China (NSFC) and the Guangzhou Municipal Key R&D Project. He coordinated proposal submissions, managed financial accounts and procurement, ensured lab safety, and facilitated internal and external collaborations. His leadership led to successful applications for two national key grants and the completion of major project deliverables. Lin’s work spans from preclinical research to translational applications, where he contributed to drug formulation, nanocarrier development, and in vivo efficacy testing. His experience demonstrates not only research expertise but also strategic oversight, teamwork, and organizational skills essential for leading scientific initiatives.

Research Interest🔎

Minzhao Lin’s research interests lie at the intersection of nanomedicine, biomedical engineering, and cancer immunotherapy, with a strong emphasis on translational applications. His primary focus is on ultrasound-based drug delivery systems and the development of smart nanocarriers that respond to biological or external stimuli for targeted therapy. He is particularly interested in using sonogenetics and ultrasound-responsive nanomaterials to enhance the precision and penetration of therapeutic agents, especially in challenging tumor environments. Lin’s work also explores reprogramming the tumor microenvironment to overcome immunosuppression and resistance, thereby improving the efficacy of cancer immunotherapy. His interdisciplinary research integrates principles from materials science, molecular biology, and immunoengineering, aiming to design novel therapeutic platforms that can be effectively translated from bench to bedside. By combining targeted delivery strategies with immune modulation, Lin aspires to create innovative solutions for complex diseases such as triple-negative breast cancer and glioma, ultimately advancing personalized and non-invasive treatment modalitie

Award and Honor🏆

Minzhao Lin has been consistently recognized for his academic excellence and research potential through multiple prestigious awards and honors. During his undergraduate studies at South China Agricultural University, he was a three-time recipient of the National Inspirational Scholarship, an honor bestowed upon the top 5% of students for outstanding academic performance and dedication. This early recognition set the tone for his continued success in higher education. As a Ph.D. candidate at Sun Yat-sen University, he was awarded the Ph.D. Scholarship in 2023, placing him among the top 15% of doctoral students in the program. These accolades highlight his unwavering commitment to scientific inquiry and innovation. In addition to academic awards, Lin has gained recognition in the scientific community through his oral presentation at ChinaNanomedicine 2023, where he presented novel findings on tumor-targeting strategies in breast cancer. His consistent achievements underscore his emerging status as a promising and impactful young researcher.

Research Skill🔬

Minzhao Lin possesses a diverse and advanced set of research skills that span molecular biology, nanomedicine, and biomedical engineering. He is proficient in a wide range of cellular and molecular biology techniques, including flow cytometry, confocal microscopy, western blotting, qPCR, and immunohistochemistry. His expertise extends to animal experimentation and in vivo modeling, where he has successfully established tumor models such as breast cancer, hepatocellular carcinoma, and lung metastasis, and performed techniques like tail vein injections, oral gavage, and in vivo imaging. Lin is highly skilled in the design and synthesis of nanocarriers, including polymeric and lipid-based systems, for targeted drug delivery. Additionally, he is experienced in instrumental techniques like HPLC, GPC, DLS, TEM, SEM, and NMR, which are essential for material characterization. His data analysis proficiency includes software such as GraphPad Prism, R, Origin, and ChemDraw. These capabilities enable him to conduct multidisciplinary, high-impact research with precision and innovation.

Conclusion💡

Minzhao Lin is a highly promising early-career researcher whose contributions to nanomedicine and cancer immunotherapy are both innovative and impactful. His diverse skill set, high-impact publications, and multidisciplinary work on ultrasound-responsive therapeutics mark him as a strong candidate for the Best Researcher Award.

Publications Top Noted✍

  • Title: Dual-mode, regenerated DNA motor for simultaneous detection of viral gene fragments and diagnosis of infectious disease
    Authors: Wei Li, Shuaijing Wang, Minzhao Lin, Xueying Chen, Jiayue Li, Wanling Cui, Rui Wang
    Year: 2025
    Citation: Biosensors and Bioelectronics, 2025-04 | DOI: 10.1016/j.bios.2025.117186

  • Title: Overcoming chemoresistance in acute myeloid leukemia via co-delivery of siGLUT1 and hydroxycamptothecin using hyaluronic acid-conjugated nanocarriers
    Authors: Min-Zhao Lin, Min Li, Hongyan Zhang, Wei-Xiong Li, Zenglin Li, Ling-Zhi Wang, Chao Chen, Xiao-Lan Li, Hong-Jie Fan, Gang-Biao Jiang
    Year: 2025
    Citation: International Journal of Biological Macromolecules, 2025-03 | DOI: 10.1016/j.ijbiomac.2025.142492

  • Title: Track-regenerated DNA motor based on magnetic separation for sensitive and sustainable detection of viral RNA and acetamiprid
    Authors: Wei Li, Shuaijing Wang, Jiayue Li, Manman Duan, Shang Sun, Guanghao Yang, Minzhao Lin
    Year: 2025
    Citation: Microchemical Journal, 2025-03 | DOI: 10.1016/j.microc.2025.113297

  • Title: RCA-Supported Multipedal DNA Walker Integrated with TSDR for Simultaneous Detection of Single Nucleotide Polymorphisms in Circulating Tumor DNA
    Authors: Wei Li, Jiayue Li, Minzhao Lin, Kai Liu, Xiaoting Liu, Yi Zhou, Rui Wang
    Year: 2025
    Citation: Analytical Chemistry, 2025-03-25 | DOI: 10.1021/acs.analchem.5c00557

  • Title: Core–Satellite Nanoassembly Overcomes Spatial Heterogeneity of Dendric Cell Distribution in Pancreatic Tumors for Effective Chemoimmunotherapy
    Authors: Gengjia Chen, Bo Li, Tan Li, Minzhao Lin, Huihai Zhong, Xiaoxue Xie, Qiaoyun Zhang, Qi Chen, Xiaochun Meng, Zecong Xiao
    Year: 2025
    Citation: ACS Nano, 2025-02-04 | DOI: 10.1021/acsnano.4c15444

  • Title: Light-inducible nanodrug-mediated photodynamic and anti-apoptotic synergy for enhanced immunotherapy in triple-negative breast cancer
    Authors: Jing Huang, Xingliang Liu, Minzhao Lin, Zecong Xiao, Xintao Shuai
    Year: 2024
    Citation: Biomaterials Science, 2024 | DOI: 10.1039/d4bm00083h

  • Title: γ-Glutamyl transpeptidase-activable nanoprobe crosses the blood-brain barrier for immuno-sonodynamic therapy of glioma
    Authors: Bo Li, Gengjia Chen, Huihai Zhong, Tan Li, Minzhao Lin, Huiye Wei, Qiaoyun Zhang, Qi Chen, Jinsheng Huang, Xintao Shuai
    Year: 2024
    Citation: Nature Communications, 2024-11-29 | DOI: 10.1038/s41467-024-54382-z

  • Title: Ultrasound-irradiated bindable microbomb opens the blood-brain barrier to enhance glioma therapy
    Authors: Bo Li, Huihai Zhong, Huiye Wei, Gengjia Chen, Minzhao Lin, Sicong Huang, Qiaoyun Zhang, Chengfen Xing, Tan Li, Jinsheng Huang
    Year: 2024
    Citation: Nano Today, 2024-06 | DOI: 10.1016/j.nantod.2024.102312

  • Title: Metal-organic framework nanoparticles hitchhiking on T cells for protein delivery to boost anticancer immunotherapy
    Authors: Jing Huang, Zecong Xiao, Minzhao Lin, Huihai Zhong, Xintao Shuai
    Year: 2024
    Citation: Nano Today, 2024-02 | DOI: 10.1016/j.nantod.2023.102102

  • Title: Twins‐like nanodrugs synchronously transport in blood and coalesce inside tumors for sensitive ultrasound imaging and triggerable penetrative drug delivery
    Authors: Yujun Cai, Gengjia Chen, Minzhao Lin, Bo Li, Huihai Zhong, Tan Li, Zecong Xiao, Yong Wang, Xintao Shuai
    Year: 2024
    Citation: Aggregate, 2024-01-04 | DOI: 10.1002/agt2.476

  • Title: Nanodrug regulates ROS homeostasis via enhancing fatty acid oxidation and inhibiting autophagy to overcome tumor drug resistance
    Authors: HaiYang Wang, Minzhao Lin, Gengjia Chen, Zecong Xiao, Xintao Shuai
    Year: 2023
    Citation: Biomaterials Science, 2023 | DOI: 10.1039/d3bm01139a

  • Title: Anchoring Microbubbles on Cerebrovascular Endothelium as a New Strategy Enabling Low‐Energy Ultrasound‐Assisted Delivery of Varisized Agents Across Blood‐Brain Barrier
    Authors: Bo Li, Yuejun Lin, Gengjia Chen, Mingyue Cai, Huihai Zhong, Zecong Xiao, Minzhao Lin, Tan Li, Yujun Cai, Xintao Shuai
    Year: 2023
    Citation: Advanced Science, 2023-11 | DOI: 10.1002/advs.202302134

 

Gour Paul | Neuroscience | Best Researcher Award

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Prof. Gour Paul | Neuroscience | Best Researcher Award

Professor at University of Rajshahi, Bangladesh

Dr. Gour Chandra Paul is a distinguished researcher in applied mathematics, planetary evolution, and earth science modeling, with over 25 years of academic and research experience. His work on protoplanetary formation, storm surge prediction, and numerical methods has contributed significantly to theoretical advancements and practical applications, particularly in coastal hazard modeling for Bangladesh. As a Professor at the University of Rajshahi, he has demonstrated exceptional academic leadership and has supervised more than 25 postgraduate theses, showcasing a strong commitment to research mentorship. His accolades, including the SHEN Award (2021) and the Dean’s Award (2015), reflect the high regard for his research excellence. While greater international publication exposure and funded collaborative projects could further elevate his global recognition, his interdisciplinary impact, academic rigor, and long-standing dedication make him a highly suitable candidate for the Best Researcher Award. His contributions exemplify innovation, relevance, and scholarly depth within physical and mathematical sciences.

Professional Profile 

Education🎓

Dr. Gour Chandra Paul possesses a strong and consistent academic background in mathematics and applied sciences. He earned his Ph.D. in 2005 from the University of Rajshahi, focusing on protoplanetary models of planetary formation. His research was further enhanced through a postdoctoral fellowship at the School of Mathematical Sciences, Universiti Sains Malaysia, from July 2010 to July 2011, and a short-term postdoctoral visit in 2012. He completed his M.Sc. in Applied Mathematics from Rajshahi University in 1998, securing First Class First Position, and his B.Sc. in Mathematics in 1997 with First Class, ranking second in the science faculty. His early academic achievements include First Division results in both HSC and SSC examinations. This solid academic foundation laid the groundwork for his research pursuits in planetary science, numerical methods, and earth system modeling. Dr. Paul’s education reflects both academic excellence and a strong alignment with his interdisciplinary research contributions.

Professional Experience📝

Dr. Gour Chandra Paul has amassed extensive professional experience in academia, spanning over two decades at the University of Rajshahi, Bangladesh. He began his academic career as a Lecturer in the Department of Mathematics in 2000 and progressed steadily through the ranks, serving as Assistant Professor (2003–2008), Associate Professor (2008–2013), and finally as a full Professor from 2013 to the present. He currently holds the title of Professor (Grade 2) since 2017. His teaching expertise covers both undergraduate and postgraduate levels, including subjects such as astrophysics, industrial mathematics, discrete mathematics, and numerical methods. Beyond teaching, Dr. Paul has been actively involved in research, supervision, and curriculum development. He also completed a prestigious postdoctoral fellowship at Universiti Sains Malaysia from 2010 to 2011 and returned briefly as a visiting researcher in 2012. His professional journey reflects a strong commitment to education, research excellence, and institutional development in the field of applied mathematics.

Research Interest🔎

Dr. Gour Chandra Paul’s research interests lie at the intersection of applied mathematics, planetary science, and earth system modeling. His primary focus is on planetary evolution, particularly the formation and structural analysis of protoplanets formed via disk instability. He investigates grain sedimentation, orbital evolution, and spin distribution in planetary systems. In earth science, Dr. Paul has developed numerical models to simulate storm surges, tidal patterns, and coastal flooding, especially along the vulnerable coastline of Bangladesh. He utilizes techniques such as finite difference methods, harmonic analysis, and Runge-Kutta algorithms to predict water levels, storm tracks, and inundation zones. Additionally, he is deeply engaged in numerical methods for solving nonlinear differential equations, with an emphasis on exact solutions and embedded systems. His interdisciplinary approach integrates astrophysical theory with real-world geophysical applications, demonstrating a unique blend of theoretical insight and practical relevance in addressing complex natural phenomena through mathematical modeling.

Award and Honor🏆

Dr. Gour Chandra Paul has received several prestigious awards and honors that highlight his excellence and dedication to research in mathematical and physical sciences. In 2021, he was honored with the SHEN Award for Excellence in Research, recognizing his significant contributions to scientific inquiry and innovation. Earlier, in 2015, he received the Dean’s Award from the Faculty of Science at the University of Rajshahi for outstanding research in the field of physical and mathematical sciences. His academic brilliance was acknowledged early in his career through the Sayed Amir Ali Award and a Postgraduate Talent Scholarship during his M.Sc. studies at Rajshahi University. Additionally, he was a recipient of the Board’s Scholarship during his school and college education from 1989 to 1991. These accolades collectively underscore Dr. Paul’s sustained research excellence, academic merit, and his valuable contributions to advancing mathematical sciences in both academic and practical domains.

Research Skill🔬

Dr. Gour Chandra Paul possesses advanced research skills that span a wide spectrum of applied mathematics, planetary science, and computational modeling. He is highly proficient in developing and implementing numerical techniques, including finite difference methods, the method of lines, and various Runge-Kutta algorithms for solving complex differential equations. His skill in harmonic analysis and model simulation enables accurate prediction of tidal patterns, storm surges, and coastal inundation—vital for disaster risk management. In planetary science, he skillfully analyzes protoplanetary structures and sedimentation processes using polytropic models and disk instability theories. Dr. Paul is also adept in embedded numerical systems and mathematical transformations for deriving exact solutions to nonlinear partial differential equations. His ability to integrate theoretical models with real-world phenomena demonstrates his analytical rigor, precision in mathematical formulation, and capacity for innovative problem-solving. These research competencies make him a valuable contributor to interdisciplinary scientific advancement and applied geophysical forecasting.

Conclusion💡

Dr. Gour Chandra Paul is a highly qualified and impactful researcher in applied mathematics, planetary modeling, and earth sciences. His strong academic foundation, decades-long research dedication, and mentorship legacy make him a strong contender for the Best Researcher Award. With modest enhancements in international visibility, interdisciplinary grants, and innovation dissemination, his candidacy would be near exemplary on a global stage.

Publications Top Noted✍

  1. Title: Unveiling Protoplanetary Structure Equations: Semi-Analytical Solutions Via the Homotopy Analysis Method
    Authors: Paul, G.C.; Tauhida, T.; Nuruzzaman, M.D.; Hossain, M.D.Z.; Barman, M.C.; Kumar, D.
    Year: 2024
    Source: SSRN

  2. Title: Unveiling Protoplanetary Structure Equations: Semi-analytical Solutions via the Homotopy Analysis Method
    Authors: Gour Chandra Paul; Tauhida; Md Nuruzzaman; Md Zakir Hossain; Mrinal Chandra Barman; Dipankar Kumar
    Year: 2024-08
    Source: Heliyon

  3. Title: On the Radius Spectrum of Solid Grains Settling in Polytropic Protoplanets
    Authors: Gour Chandra Paul; Mrinal Chandra Barman; Amitabh Kumer Halder
    Year: 2024-07-10
    Source: European Physical Journal Plus

  4. Title: Exploring Dynamic Behaviors of Diverse Electrical Soliton Pulses in Lossy Nonlinear Electrical Transmission Lines
    Authors: Dipankar Kumar; A. T. M. Saiful Islam; Gour Chandra Paul; Md. Nuruzzaman
    Year: 2024-05-20
    Source: European Physical Journal Plus

  5. Title: 1D–2D Mathematical Modeling of Wave Refraction and Wave Attenuation by Mangrove Forests
    Authors: Hoque, A.; Rahman, M.; Paul, G.C.
    Year: 2023
    Source: SSRN

  6. Title: Exploring Dynamic Behaviors of Soliton-Like Pulses in the Lossy Electrical Transmission Line Model with Fractional Derivatives
    Authors: Chandra Paul, G.; Kumar, D.; Nuruzzaman, M.
    Year: 2023
    Source: Results in Physics

  7. Title: Revisiting the Spatiotemporal Dynamics of a Diffusive Predator-Prey System: An Analytical Approach
    Authors: Kumar, D.; Hasan, M.M.; Chandra Paul, G.; Debnath, D.; Mondal, N.; Faruk, O.
    Year: 2023
    Source: Results in Physics

  8. Title: Simulation of the Tide–Surge: Super Cyclone Sidr
    Authors: Wahiduzzaman, M.; Paul, G.C.
    Year: 2023
    Source: European Physical Journal Plus

  9. Title: Tripartite Sub-Image Histogram Equalization for Slightly Low Contrast Gray-Tone Image Enhancement
    Authors: Rahman, H.; Paul, G.C.
    Year: 2023
    Source: Pattern Recognition

  10. Title: Estimating Water Levels Caused by a Tropical Storm Along the Bangladesh Coast: A Numerical Approach
    Authors: Gour Chandra Paul; Irfan Raju; Md Zakir Hossain; Tauhida; Md Nuruzzaman; Mst Rupale Khatun; Md Emran Ali
    Year: 2023-10
    Source: Heliyon

  11. Title: A Variety of Novel Closed-Form Soliton Solutions to the Family of Boussinesq-like Equations with Different Types
    Authors: Kumar, D.; Paul, G.C.; Seadawy, A.R.; Darvishi, M.T.
    Year: 2022
    Source: Journal of Ocean Engineering and Science

  12. Title: An Estimation of Water Levels Associated with a Storm Along the Coast of Bangladesh Using a Non-Central Difference Method of Lines
    Authors: Ali, M.E.; Paul, G.C.
    Year: 2022
    Source: Ocean Engineering

Na Wu | Biosensor Early Diagnosis | Best Research Article Award

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Dr. Na Wu | Biosensor Early Diagnosis | Best Research Article Award

Assistant Researcher at Fujian Medical University, China

Dr. Na Wu is a promising researcher in the field of bioanalytical chemistry, with a strong focus on molecular diagnostics and nucleic acid-based detection systems. Her recent publication in Talanta (2026), exploring high-affinity poly-cytosine DNA modulated metal-organic frameworks for hepatocellular carcinoma detection, exemplifies her innovative approach. She has published extensively in prestigious journals such as ACS Nano, Analytical Chemistry, and Small, often as a lead or corresponding author. Her research combines nanotechnology, machine learning, and DNA nanodevices to develop ultrasensitive, non-invasive diagnostic tools for early cancer detection. With international academic training and a leadership role in a major research project at Fujian Medical University, Dr. Wu demonstrates both technical excellence and research initiative. While increased emphasis on clinical translation and broader recognition metrics could enhance her profile further, her current contributions position her as a strong candidate for the Best Research Article Award, with impactful and forward-thinking scientific work.

Professional Profile

Education🎓

Dr. Na Wu has a strong academic foundation in chemistry, beginning with her Bachelor’s degree in Applied Chemistry from Zhoukou Normal University (ZKNU), China, in 2017. She continued her academic journey by pursuing a Doctorate in Chemistry at Northeastern University (NEU), Shenyang, where she worked under the guidance of Prof. Ting Yang. To enhance her research skills and international experience, Dr. Wu undertook a joint doctoral training program at the University of Waterloo (UW), Canada, from March 2022 to September 2023, under the mentorship of Prof. Juewen Liu, a renowned expert in nanotechnology and biosensing. This international exposure significantly enriched her expertise in advanced analytical techniques, DNA nanotechnology, and biomedical applications. Her academic training across these prestigious institutions has equipped her with a solid interdisciplinary background, blending theoretical knowledge with hands-on research experience. This educational trajectory has laid the groundwork for her innovative contributions to molecular diagnostics and bioanalytical chemistry.

Professional Experience📝

Dr. Na Wu has built a promising professional career grounded in both academic teaching and advanced research. She began her professional journey in March 2024 as a Lecturer at Fujian Medical University (FJMU), where she is actively involved in teaching and leading innovative research projects in molecular diagnostics. Concurrently, she is engaged in a post-doctoral position at Fuzhou University (FZU), set to run from March 2025 to March 2027, allowing her to further deepen her expertise in biomedical applications and collaborative scientific inquiry. Dr. Wu also leads a major research initiative funded by Fujian Medical University, focusing on high-level talent development in nucleic acid delivery systems and liquid biopsy technologies. Her dual roles highlight a balance of academic instruction and high-impact research leadership. Through these positions, she contributes significantly to the fields of analytical chemistry and biosensor development, demonstrating both scientific excellence and commitment to advancing healthcare-related research.

Research Interest🔎

Dr. Na Wu’s research interests lie at the intersection of analytical chemistry, molecular diagnostics, and nanobiotechnology, with a particular focus on the development of innovative nucleic acid-based detection systems. She is dedicated to designing advanced biosensors and DNA nanodevices for the early diagnosis of cancers and infectious diseases. Her work emphasizes the use of three-dimensional DNA machines, metal-organic frameworks, and machine learning-assisted platforms to enable ultrasensitive, specific, and non-invasive diagnostic tools. Dr. Wu is also deeply engaged in liquid biopsy research, exploring biomarkers such as circulating DNA and D-amino acids for clinical applications. Additionally, she investigates nucleic acid delivery systems that enhance the precision and efficiency of molecular diagnostics. Her interdisciplinary approach bridges chemistry, biology, and data science, aiming to translate laboratory innovations into real-world healthcare solutions. Through her research, Dr. Wu seeks to address pressing medical challenges by advancing the next generation of rapid and reliable diagnostic technologies.

Award and Honor🏆

Dr. Na Wu has earned recognition for her contributions to the field of analytical chemistry and molecular diagnostics through prestigious research roles and funding support. She was awarded the Fujian Medical University High-Level Talent Research Startup Funding Project, which she leads, reflecting her potential as an emerging leader in scientific innovation. This competitive grant supports her ongoing work in developing advanced nucleic acid-based biosensors for early disease detection. Her selection for a joint doctoral training program at the University of Waterloo, Canada, is another significant academic honor, highlighting her international research capabilities and collaboration with globally recognized experts. Additionally, her publications in high-impact journals such as Analytical Chemistry, ACS Nano, and Talanta further affirm the scientific community’s acknowledgment of her research excellence. These accomplishments demonstrate Dr. Wu’s commitment to advancing healthcare diagnostics and position her as a rising scholar with a growing influence in the fields of nanobiotechnology and molecular sensing.

Research Skill🔬

Dr. Na Wu possesses a diverse and advanced set of research skills that span analytical chemistry, molecular biology, and nanotechnology. She is highly proficient in designing and fabricating DNA-based biosensors, including three-dimensional DNA machines and nucleic acid delivery systems, for ultra-sensitive disease diagnostics. Her technical expertise includes synthesis and modification of nanomaterials, molecular recognition techniques, signal amplification strategies, and integration of machine learning algorithms for enhanced data analysis and diagnostic accuracy. Dr. Wu is skilled in employing liquid biopsy approaches to detect cancer biomarkers and has experience with techniques such as electrochemiluminescence, fluorescence spectroscopy, and metal-organic frameworks for biomolecular interactions. Her strong background in interdisciplinary research enables her to bridge gaps between chemistry, biology, and clinical applications. Additionally, she demonstrates competence in scientific writing, project management, and international collaboration, having worked in top-tier labs in both China and Canada. These research skills collectively underpin her ability to lead innovative and impactful scientific projects.

Conclusion💡

Dr. Na Wu is a strong and deserving candidate for the Best Research Article Award, particularly for her recent paper in Talanta (2026) on the detection of hepatocellular carcinoma biomarkers using poly-cytosine DNA and metal-organic frameworks. Her research demonstrates originality, scientific rigor, and relevance to modern health diagnostics. With a growing publication record and leadership in funded research, she represents the next generation of innovators in bioanalytical chemistry. Strengthening her clinical collaborations and visibility in global research communities will further elevate her candidacy in future evaluations.

Publications Top Noted✍

  1. Title: High-affinity poly-cytosine DNA modulated metal-organic framework-DNA interactions and their application in detection of hepatocellular carcinoma biomarker
    Authors: Wu, N.; Chen, X.; Wang, Y.-T.; Jiang, Y.; Gao, Z.
    Year: 2026
    Citations: [Citation data not available yet – newly published]

  2. Title: Hydrogen peroxide regulated split-type electrochemiluminescence sensing platform for non-invasive detection of gastric cancer-associated D-amino acids
    Authors: Li, J.; Lai, M.-C.; Zhong, Y.-M.; Chen, Y.-L.; Wu, N.; Chen, W.; Peng, H.-P.
    Year: 2025
    Citations: [Citation data pending]

  3. Title: An extracellular vesicle microRNA-initiated 3D DNAzyme motor for colorectal cancer diagnosis
    Authors: Fan, Q.; Sun, X.-H.; Wu, N.; Wang, Y.-H.; Wang, J.-H.; Yang, T.
    Year: 2024
    Citations: [Check citation databases]

  4. Title: Multispectral 3D DNA Machine Combined with Multimodal Machine Learning for Noninvasive Precise Diagnosis of Bladder Cancer
    Authors: Wu, N.; Wong, K.-Y.; Yu, X.; Zhao, J.-W.; Zhang, X.-Y.; Wang, J.-H.; Yang, T.
    Year: 2024
    Citations: [Available on Scopus/Google Scholar]

  5. Title: Demoralization, apathy, and depression affect cognition and motor symptoms in Parkinson’s disease
    Authors: Zhu, X.; Gan, J.; Wu, N.; Zhang, Y.; Liu, Z.
    Year: 2024
    Citations: [Check Web of Science/Scopus]

  6. Title: Cytosine-Rich DNA Binding Insulin Stronger than Guanine-Rich Aptamers
    Authors: Wu, N.; Zandieh, M.; Yang, T.; Liu, J.
    Year: 2023
    Citations: [Check Scopus]

  7. Title: DNA-functionalized LnNP-MNP assemblies for dual-mode sensing of alkaline phosphatase
    Authors: Sun, X.-Y.; Wei, X.; Wu, N.; Liu, X.; Chen, M.-L.; Wang, J.-H.
    Year: 2023
    Citations: [Check Scopus]

  8. Title: Detection of HIV/HCV virus DNA with homogeneous DNA machine-triggered in situ formation of silver nanoclusters
    Authors: Wu, N.; Zhang, H.-C.; Sun, X.-H.; Guo, F.-N.; Feng, L.-X.; Yang, T.; Wang, J.-H.
    Year: 2022
    Citations: [Scopus indexed]

  9. Title: Immunolabeling lanthanide nanoparticles for alpha-fetoprotein detection using ICP-MS
    Authors: Sun, X.; Wei, X.; Liu, X.; Zhang, X.; Wu, N.; Liu, J.; Wang, Y.; Chen, M.; Wang, J.
    Year: 2022
    Citations: [Check databases]

  10. Title: Efficient Pathogen Capture and Sensing Promoted by Dynamic Deformable Nanointerfaces
    Authors: Cao, Y.; Wu, N.; Li, H.-D.; Xue, J.-W.; Wang, R.; Yang, T.; Wang, J.-H.
    Year: 2022
    Citations: [Published in Small – high impact]

  11. Title: Ratiometric 3D DNA Machine Combined with Machine Learning Algorithm for Early Urinary Disease Screening
    Authors: Wu, N.; Zhang, X.-Y.; Xia, J.; Li, X.; Yang, T.; Wang, J.-H.
    Year: 2021
    Citations: [Likely cited – check ACS Nano]

  12. Title: Three-Dimensional DNA Nanomachine Biosensor for Cancer-Related Gene Detection
    Authors: Wu, N.; Wang, Y.-T.; Chang, M.-L.; Chen, X.-W.; Yang, T.; Wang, J.-H.
    Year: 2020
    Citations: [Check citation database