Niluka Bentara Vitanage | Physics | Best Researcher Award

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Mrs. Niluka Bentara Vitanage | Physics | Best Researcher Award

National Institute of Fundamental Studies | Sri Lanka

Mrs. Niluka Bentara Vitanage, a dedicated Research Assistant from Sri Lanka, is an emerging scholar with six years of research experience specializing in carbon nanomaterials, molecular dynamics, and sustainable environmental applications. She holds a BSc in Physics, an MPhil in Physical Science, and is currently pursuing her PhD at the University of Sri Jayewardenepura. Her expertise spans advanced synthesis and characterization techniques, including CVD, SEM, XRD, TEM, and XPS, leading to innovations such as a novel single-stage floating catalyst CVD method for high-quality VACNTs. With 27 publications, including journal papers, abstracts, patents, and a book chapter, she has made notable contributions in areas like water desalination, pollutant removal, energy storage, and nanocomposite membranes.

Profile: Google Scholar | ResearchGate

Featured Publications

Wu, Z., Sewwandi, B. V. N., Chen, X., Perera, G., Jayarathna, L., … (2025). Forward osmosis membrane with lightweight functionalised multiwall carbon nanotube nanofillers. Environmental Technology, 46(9), 1507–1518.

Sewwandi, B. V. N., Kumarasinghe, A. R., Wu, Z., Bandara, P., Jayarathne, L., … (2023). Size-tunable graphitized carbon spheres for water defluoridation. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 670, 131582.

Sewwandi, B. V. N., Kumarasinghe, A. R., Tushara, D., Wijesingha, H., … (2021). Fabrication of size-tunable graphitized carbon spheres with hierarchical surface morphology on p-Si (100) by chemical vapour deposition. Sri Lankan Journal of Physics, 22(1), 80–90.

Sewwandi, B. V. N., Kumarasinghe, A. R., Chen, X., Bandara, P., Jayarathna, L., … (2025). A novel fabrication method of vertically aligned carbon nanotubes by single-stage floating catalyst CVD. BMC Chemistry, 19(1), 89.

Wu, Z., Sewwandi, B. V. N., Deegala, H., Kuruppu, K., Chandrasekara, E., … (2025). An integrated centrifugal microfluidic chip for in situ chemical oxygen demand by improving the conventional dichromate method. Chemical Engineering Research and Design. Advance online publication.

Jayasinghe, D. M., Weerathunga, D. T. D., Kumarasinghe, A. R., Manathunga, K. S., Sewwandi, B. V. N., … (2024). Investigation of electrical properties of composite dipped films developed with electrically conductive carbon nanotube (CNT)-natural rubber latex (NRL). Faculty of Science, University of Ruhuna, Matara, Sri Lanka.

Bhishma Karki | Physics | Best Researcher Award

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Dr. Bhishma Karki | Physics | Best Researcher Award

Tri-Chandra Multiple Campus | Nepal

Dr. Bhishma Karki is a distinguished physicist and academic leader from Nepal, currently serving as the Executive Chairman of the National Research Council Nepal. He also holds positions as Visiting Professor at the Department of Physics and Research Centre, Tuljaram Chaturchand College, Pune, India, and Visiting Faculty at the Department of Physics, Tri-Chandra Multiple Campus, Tribhuvan University, Kathmandu. Dr. Bhishma Karki earned his B.Sc. in Physics from National Multiple College, M.Sc. in Material Science from the University of Pune, and a Ph.D. in Material Science from Tribhuvan University with a thesis on “Photoelectrocatalytic Purification of Water Using Spray-Deposited Zinc Oxide Thin Films.” With over 57 publications in SCI and Scopus-indexed journals, his research focuses on surface plasmon resonance sensors, photocatalysis, and material science applications in water purification and cancer detection. He has actively participated in numerous international workshops and conferences across Russia, the UK, France, Germany, Italy, and Australia, including UNFCCC and UNCBD conferences. Dr. Bhishma Karki serves as Academic Editor or Editorial Board member for journals like PLOS ONE, Frontiers in Oncology, Scientific Reports, and Wiley’s Journal of Sensors. Recognized with Nepal Vidyabhushan “A” award in 2023, he is a life member of multiple technical societies and actively contributes to community development while promoting scientific research and education in Nepal.

Profile: Google Scholar

Featured Publications

  • Karki, B., Vasudevan, B., Uniyal, A., Pal, A., & Srivastava, V. (2022). Hemoglobin detection in blood samples using a graphene-based surface plasmon resonance biosensor. Optik, 270, 169947.

  • Karki, B., Uniyal, A., Pal, A., & Srivastava, V. (2022). Advances in surface plasmon resonance–based biosensor technologies for cancer cell detection. International Journal of Optics, 2022(1), 1476254.

  • Karki, B., Pal, A., Singh, Y., & Sharma, S. (2022). Sensitivity enhancement of surface plasmon resonance sensor using 2D material barium titanate and black phosphorus over the bimetallic layer of Au, Ag, and Cu. Optics Communications, 508, 127616.

  • Karki, B., Uniyal, A., Chauhan, B., & Pal, A. (2022). Sensitivity enhancement of a graphene, zinc sulfide-based surface plasmon resonance biosensor with an Ag metal configuration in the visible region. Journal of Computational Electronics, 21(2), 445–452.

  • Karki, B., Sarkar, P., Dhiman, G., Srivastava, G., & Kumar, M. (2024). Platinum diselenide and graphene-based refractive index sensor for cancer detection. Plasmonics, 19(2), 953–962.

Lorena Aguirre Salazar | Quantum Physics | Best Researcher Award

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Dr. Lorena Aguirre Salazar | Quantum Physics | Best Researcher Award

Dr. Lorena Aguirre Salazar, Texas A&M University-Corpus Christi, United States

Dr. Lorena Aguirre Salazar is a passionate mathematician specializing in pattern formation, variational models, and PDEs. She earned her Ph.D. in Mathematics from McMaster University 🇨🇦, with prior studies at Technion 🇮🇱 and Universidad Nacional de Colombia 🇨🇴. Dr. Aguirre has taught at institutions across North and South America, including Texas A&M–Corpus Christi 🇺🇸, and has presented her research globally. She actively promotes equity, inclusion, and belonging in mathematics education 🎓. Her work is published in top journals such as SIAM J. Math. Anal. and BLMS

Publication Profile

Google Scholar

🎓 Educational Background

Dr. Lorena Aguirre Salazar holds a Ph.D. in Mathematics (2016–2021) from McMaster University 🇨🇦, where she researched energy models under the guidance of Drs. Stan Alama and Lia Bronsard. She earned her M.Sc. in Applied Mathematics (2012–2014) at Technion – Israel Institute of Technology 🇮🇱, focusing on semi-linear elliptic systems. She completed her B.Sc. in Mathematics (2009–2011) at Universidad Nacional de Colombia 🇨🇴. In 2010, she attended exchange and summer programs in Chile 🇨🇱 and Brazil 🇧🇷, gaining additional training in Fourier analysis, PDEs, measure theory, and functional analysis.

🔬 Research Interests

Dr. Lorena Aguirre Salazar’s research focuses on pattern formation within the framework of the Calculus of Variations and Partial Differential Equations (PDEs) 🧮. Her work explores the mathematical structures that govern complex physical and biological phenomena. Beyond theoretical mathematics, she is deeply engaged in higher education research, emphasizing community building and a sense of belonging among students in mathematics classrooms 👩‍🏫🤝. She advocates for inclusive teaching practices that foster emotional and social well-being alongside academic growth 🎓💬. Her interdisciplinary approach bridges rigorous analysis with impactful educational methodologies.

🎓 Professional Development

Dr. Lorena Aguirre Salazar has actively pursued diverse professional development initiatives to enhance both her mathematical and educational expertise 🌟. She completed a directed study in 2025 on social and emotional learning in mathematics education 🧠❤️. She was part of the TPSE Leadership Institute (2022–2023), focusing on building community in post-secondary math education 🏫🤝. Dr. Aguirre also earned multiple online specializations and certificates from leading universities on topics such as virtual teaching, diversity, inclusion, accessibility, and mental health support 💻🌍. At McMaster University, she completed several teaching-focused certifications, including Instructional Skills and Learning Foundations

👩‍🏫 Professional Experience

Dr. Lorena Aguirre Salazar has amassed a dynamic teaching and research portfolio across North and South America 🌎. She currently serves as a faculty member at Texas A&M University–Corpus Christi, teaching courses in statistical modeling, calculus, and fundamental mathematics 📊🧮. She has held roles as a part-time instructor at Niagara College (Canada) and Assistant Professor at Lakehead University and Valdosta State University, covering diverse mathematical topics from numerical analysis to vector analysis 🔢📐. Her academic journey includes instructor and teaching assistant roles at McMaster University, as well as prior experience in Colombia at Universidad Nacional and Universidad de Caldas 🇨🇴🎓

🔬 Research Focus

Dr. Lorena Aguirre Salazar’s research lies at the intersection of applied mathematics, particularly in partial differential equations (PDEs) and the calculus of variations 🧮🌀. Her work addresses complex models like the Thomas-Fermi-Dirac-von Weizsäcker (TFDW) theory and Ohta–Kawasaki models, with applications in quantum mechanics and materials science ⚛️🧊. She explores pattern formation, mass splitting phenomena, and energy convergence in physical systems. Her mathematical modeling extends to theoretical physics and functional analysis 🔍📈. Additionally, Dr. Aguirre Salazar is passionate about mathematics education, focusing on community building and inclusion in academic settings

Publication Top Notes

📄 A remark on weakly contractive mappings – Journal of Nonlinear and Convex Analysis, 2015 | Cited by: 33 🔁
📄 Mass splitting in the Thomas–Fermi–Dirac–von Weizsäcker model with background potential – Journal of Mathematical Physics, 2020 | Cited by: 4 🔬
📄 Convergence of the TFDW Energy to the Liquid Drop Model – SIAM Journal on Mathematical Analysis, 2021 | Cited by: 1 📘
📄 An Ohta–Kawasaki model set on the space – Bulletin of the London Mathematical Society, 2024 | Cited by: — 🧩
📄 Solutions and limits of the Thomas-Fermi-Dirac-Von Weizsäcker energy with background potential – Dissertation, 2021 | Cited by: — 🎓

Tianyu Wu | Nuclear Physics | Best Researcher Award

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Dr. Tianyu Wu | Nuclear Physics | Best Researcher Award

Dr. Tianyu Wu at Beihang university, China

Tianyu Wu 🎓 is a dedicated Ph.D. candidate in Physics at Beihang University, Beijing, with a strong foundation in nuclear physics and a B.Sc. in Physics from Yanbian University. With expertise in Python, Fortran, and C++ 💻, Tianyu actively engages in collaborative research projects, academic writing, and data analysis 📊. Known for excellent time management ⏰, teamwork 🤝, and adaptability 🌱, he contributes meaningfully to academic and scientific environments. Currently focused on advancing his research skills and scientific understanding, Tianyu is passionate about exploring new frontiers in physics and aims to make a lasting impact in the field 🌌. His proactive attitude and commitment to excellence position him as a promising young researcher on the rise 🚀.

Publication Profile

Scopus

Academic Background

Tianyu Wu is a passionate and ambitious Ph.D. candidate in Physics at Beihang University, Beijing 🏛️. He holds a Bachelor of Science degree in Physics from Yanbian University, Jilin Province 📘. Currently pursuing advanced research in nuclear physics, he is developing a strong academic and technical foundation, with an expected M.Sc. in Nuclear Physics by 2028 📚. Tianyu is skilled in programming languages such as Python, Fortran, and C++ 💻, which he effectively applies in his research projects. Throughout his academic journey, he has demonstrated excellent teamwork 🤝, time management ⏰, and research abilities 🔬. His enthusiasm for scientific exploration and dedication to learning make him a promising young scholar with the potential to contribute significantly to the field of physics 🌌.

Professional Experience

Tianyu Wu is a dynamic and motivated Ph.D. student in Physics at Beihang University, Beijing 🏛️. Since 2024, he has been actively involved in collaborative research projects, contributing to professional deliverables through strong teamwork and problem-solving skills 🤝. He is proficient in programming languages such as Python, Fortran, and C++ 💻, which he uses for data analysis and simulation in academic research 📊. Tianyu demonstrates excellent time management ⏰ and organizational abilities, often taking initiative in project planning and execution. His experience includes conducting literature reviews 📚, working in lab environments 🔬, and delivering high-quality presentations 🗣️. Passionate about scientific innovation and continuous learning, Tianyu is committed to developing his expertise and making impactful contributions to the field of physics .

Awards and Honors

While Tianyu Wu is currently building his research career as a Ph.D. candidate at Beihang University 🎓, he has already been recognized for his strong work ethic, punctuality, and teamwork skills 🤝. Though formal awards and honors are still forthcoming, Tianyu’s dedication to academic excellence and consistent performance have earned him positive recognition from peers and mentors 👏. His commitment to time management ⏰ and high-quality project delivery has contributed to successful group outcomes. As he continues to advance in his studies and research, Tianyu is poised to achieve significant accolades in the future 🌟. His enthusiasm and perseverance make him a promising candidate for upcoming awards and honors in the scientific community 🔬.

Research Focus

Tianyu Wu is deeply engaged in advanced research in the field of Physics, with a specific focus on nuclear physics and computational modeling 🌐. As a Ph.D. candidate at Beihang University 🏛️, he is exploring complex physical systems using programming tools such as Python, Fortran, and C++ 💻 to simulate and analyze data-driven results 📊. His research involves detailed theoretical investigations and practical applications, aiming to uncover new insights into atomic and subatomic structures 🌟. Tianyu is passionate about scientific discovery and is constantly expanding his knowledge through scholarly literature 📚 and experimental techniques. With a curious mind and strong analytical skills 🧠, he is committed to contributing meaningful advancements to the field of physics and modern science 🚀.

Publication Top Notes

Full realization of the RIBLL2 separator at the HIRFL-CSR facility 🧪
Year: 2025 📅

Conclusion

Dr. Tianyu Wu is a highly promising early-career researcher and a strong candidate for the Research for Best Researcher Award. As a Ph.D. candidate in Physics at the prestigious Beihang University, he has built a solid academic foundation with degrees in Physics and Nuclear Physics. His research contributions include co-authorship in notable publications such as the 2025 Science Bulletin and several arXiv preprints covering optics, condensed matter, and nuclear/accelerator physics. Tianyu’s involvement in cutting-edge projects like the realization of the RIBLL2 separator at HIRFL-CSR and his work on laser-plasma interaction diagnostics demonstrate his innovative and interdisciplinary approach. With strong technical skills in Python, Fortran, and C++ and recognized teamwork and time management abilities, Tianyu shows great potential and research excellence, making him well-suited for this award.

 

 

Dalya Akl | Gravitational Waves | Best Researcher Award

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Ms. Dalya Akl | Gravitational Waves | Best Researcher Award

Ms. Dalya Akl , American University of Sharjah , United Arab Emirates

Dalya Akl is an astrophysicist based in Dubai, U.A.E., specializing in telescope operations, kilonovae, short gamma-ray bursts (GRBs), and gravitational waves (GWs) research. She is actively involved in multiple international collaborations, including the GRANDMA network and the SVOM mission. Dalya’s work focuses on optimizing data acquisition and image processing pipelines for real-time observations, enhancing the understanding of astrophysical phenomena through electromagnetic counterparts to GW and GRB events. She also leads research on developing computational models and utilizing machine learning for GRB classification and kilonova light curve analysis. Dalya’s contributions span across multiple prestigious journals and conferences, solidifying her as a key player in the field of multi-messenger astronomy.

Professional Profile

Google scholar

Scopus

Academic Career 🎓

Dalya Akl earned her Bachelor of Science in Physics (B.Sc.) from the American University of Sharjah, U.A.E. Her thesis focused on “Enhanced Analysis and Classification of Gamma-Ray Bursts through Advanced Astro-photometry Techniques and Machine Learning Algorithms,” showcasing her expertise in applying computational techniques to astrophysical data. During her academic journey, Dalya also worked on significant research projects related to gravitational waves, kilonovae, and supernovae, which further shaped her research direction. She actively contributes to the academic community through publications, conference posters, and collaborative research with global institutions.

 

Academic Background & Contributions 🔬⚡

Dalya Akl currently works as a Gravitational Waves Researcher with the GRANDMA Collaboration, focusing on system operations, data analysis, and pipeline optimization for precise data acquisition of GW and GRB events. She also leads the SPECTRA team, coordinating astrophysical campaigns and integrating diverse observational systems. Dalya is involved with the COLIBRI Telescope project, contributing to simulations and performance testing to optimize real-time data acquisition strategies for the SVOM mission. Her previous experience includes working as a Research Intern at Côte d’Azur Observatory in France and as a Data Analyst for various GW and GRB campaigns. She has also contributed to supernova research at Al Khatim Observatory and developed machine learning models for GRB classification at the American University of Sharjah.

Honors & Awards 🏆🎓

Dalya Akl has been recognized for her outstanding contributions to astrophysics through her active role in global collaborations, such as the GRANDMA and SVOM missions. She was honored with numerous speaking engagements at prestigious conferences like COSPAR 2024, where she presented cutting-edge research on GRB afterglows and supernovae observations. Dalya has co-authored multiple publications in renowned journals like MNRAS and ApJ, where her work on kilonovae and GW events was widely acknowledged. Her involvement in NASA’s General Coordinate Network (GCN) Circulars further highlights her significant impact on the field. Her leadership in multi-messenger astronomy research has earned her a reputation as a rising star in the astrophysical community.

Research Focus 🔬⚡

Dalya Akl’s primary research focus lies in the study of gravitational waves, short gamma-ray bursts, and kilonovae. She specializes in optimizing data pipelines for real-time multi-messenger observations and has contributed significantly to the analysis of electromagnetic counterparts to GW and GRB events. Dalya’s research extends to the modeling of kilonovae light curves and the use of machine learning techniques to classify and analyze GRBs. She also leads observational campaigns, such as the GRANDMA collaboration’s studies of supernovae, and actively contributes to advancing the understanding of high-energy astrophysical phenomena through computational modeling and multi-wavelength observations.

Publication Top Notes 📚

Multiband analyses of the bright GRB 230812B and the associated SN2023pel
Authors: T Hussenot-Desenonges, T Wouters, N Guessoum, I Abdi, A Abulwfa, …
Journal: Monthly Notices of the Royal Astronomical Society
Citations: 3
Year: 2024

Early-Time Observations of SN 2023wrk: A Luminous Type Ia Supernova with Significant Unburned Carbon in the Outer Ejecta
Authors: J Liu, X Wang, C Andrade, PA Duverne, J Zhang, L Li, Z Wang, …
Journal: The Astrophysical Journal
Citations: 2
Year: 2024

GRB 240529A: AKO Optical Afterglow Follow-Up Observations
Authors: M Odeh, N Guessoum, D Akl, I Aabdi, S AlShamsi
Journal: GRB Coordinates Network
Citations: 1
Year: 2024

GRANDMA Observations of SN 2023wrk, a Luminous Type Ia Supernova with Significant Unburned Carbon in the Outer Ejecta
Authors: C Andrade, PA Duverne, J Liu, F Navarete, AE Abdelaziz, M Abdelkareem, …
Journal: Research Notes of the AAS
Citations: 1
Year: 2024

GRB 240828B: GRANDMA Optical Upper Limit
Authors: D Akl, S Antier, M Coughlin, PA Duverne, P Hello, C Andrade, ITE Melo, …
Journal: GRB Coordinates Network
Citations: 1
Year: 2024

GRB240824A: Tarot-Tca Upper Limit
Authors: D Akl, S Antier, M Coughlin, PA Duverne, P Hello, C Andrade, ITE Melo, …
Journal: GRB Coordinates Network
Citations: 1
Year: 2024

GRB 240821A: GRANDMA/LesMakes-T60 Upper Limit
Authors: A Klotz, P Thierry, S Antier, D Akl, PA Duverne, C Andrade, S Karpov, …
Journal: GRB Coordinates Network
Citations: 1
Year: 2024

EP240625a: GRANDMA Optical Upper Limits
Authors: D Akl, A Le Calloch, Y Rajabov, M Molham, S Antier, S Karpov, …
Journal: GRB Coordinates Network
Citations: 1
Year: 2024

GRB 240529A: AKO Optical Afterglow Detection
Authors: M Odeh, N Guessoum, D Akl, I Aabdi, S AlShamsi
Journal: GRB Coordinates Network
Citations: 1
Year: 2024

IceCube-240424A: GRANDMA Optical Upper Limit of Fermi J2151.3+0220
Authors: D Akl, T Pradier, T Jegou Du Laz, M Molham, S Antier, ITE Melo, P Hello, …
Journal: GRB Coordinates Network
Citations: 1
Year: 2024

 

 

 

 

 

 

Muhammad Mubashir | Condensed Matter Physics | Best Researcher Award

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Mr. Muhammad Mubashir | Condensed Matter Physics | Best Researcher Award

Mr. Muhammad Mubashir, University of Education Township Lahore, Pakistan

Muhammad Mubashir is a dedicated researcher in computational materials science, specializing in first-principles calculations and simulations. He holds an MS in Physics, focusing on the electronic properties of 2D materials. His expertise spans hydrogen storage materials, low-dimensional structures, and gas sensing materials. Muhammad is proficient in Quantum ESPRESSO and CASTEP, and has contributed significantly to understanding material behaviors through theoretical investigations. With multiple publications and active participation in scientific conferences, he continues to explore advanced energy storage materials and their computational design.

Publication profile

Academic Background 📚

Muhammad completed his MS/MPhil in Physics from the University of Education, Township, Lahore, Pakistan, where his thesis delved into the structural and electronic properties of 1T phase zirconium dioxide via first-principles calculations.

Research Focus 🌱

Muhammad Mubashir’s research primarily centers on computational simulation and first-principles calculations of advanced materials, particularly focusing on hydrogen storage and perovskite-type hydrides. His work spans the investigation of structural, optoelectronic, and thermal properties of various materials using Quantum ESPRESSO and CASTEP. He explores novel strategies such as chemical doping and material tuning to enhance hydrogen storage capabilities. Muhammad’s contributions extend to understanding electronic structures and mechanical stability in materials like fluoroperovskites, essential for applications in solar energy and solid-state technologies. His research underscores a commitment to advancing sustainable energy solutions through innovative computational modeling. 🌐

 

Publication Top Notes