Gour Paul | Neuroscience | Best Researcher Award

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

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