Nidhika Chauhan | Metaverse | Best Researcher Award

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Dr. Nidhika Chauhan | Metaverse | Best Researcher Award 

Associate Professor in Chandigarh University, India

Dr. Nidhika Chauhan is an accomplished academic leader and researcher currently serving as Associate Professor and Subject Coordinator. With a PhD from Chandigarh University (2024), she previously led the Computer Science and Management departments at Chandigarh University (2016–Jan 2022), where she developed curricula, evaluated programs, delivered lectures in subjects such as Java, SQL, C/C++, Cloud Computing, Research Methodology, and SPSS, and mentored students on research projects and scientific writing. She has coordinated academic events, supervised internships and postgraduate work, managed student queries and assessment processes, and led communication and performance feedback strategies. Her prior roles include working with NIIT Chandigarh and serving as academic counselor. According to Google Scholar her research profile shows 67 citations with an h-index of 4, reflecting her contributions in the fields of cloud computing, optimization in data centers, and hybrid algorithms for resource allocation Google Scholar. Her conference publications include relevant works such as “Energy Efficient Resource Allocation in Cloud Data Center” and “Performance Analysis of Hybrid Optimization Algorithms,” demonstrating her engagement with emerging topics in computing systems and optimization.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications 

Chauhan, N., Jhanjhi, N. Z., Ashfaq, F., & Jasmansyah. (2025, September 16). Metaverse as a catalyst for digital transformation in India’s education sector: Implementation perspectives [Conference paper].

Chauhan, N., & Kaur, N. (2025, February 26). Prediction of clinical drug response using machine learning. In Optimized predictive models in health care using machine learning (pp. 123–140). CRC Press.

Chauhan, N., Kaur, N., Saini, K. S., Verma, S., Alabdulatif, A., Khurma, R. A., Garcia-Arenas, M., & Castillo, P. A. (2024). A systematic literature review on task allocation and performance management techniques in cloud data center. arXiv.

Chauhan, N., Kaur, N., Saini, K. S., & Kaur, M. (2024). Issues in healthcare and the role of machine learning in healthcare. In Optimized predictive models in health care using machine learning (pp. 45–62). Wiley.

Chauhan, N., Kaur, N., Saini, K. S., Verma, S., Abu Khurma, R., & Castillo, P. A. (2024). Maximizing resource efficiency in cloud data centers through knowledge-based flower pollination algorithm (KB-FPA). Computers, Materials & Continua, 78(1), 891–908.

Chauhan, N., Kaur, N., & Saini, K. S. (2023). Performance analysis of knowledge-based optimization algorithm for effective resource allocation. In Proceedings of the 2nd Edition of IEEE Delhi Section Owned Conference (DELCON 2023) (pp. 112–118). IEEE.

Chauhan, N., Kaur, N., & Saini, K. S. (2023). Performance analysis of rules generated hybrid optimization algorithm for resource allocation and migration in the cloud environment. In Proceedings of the 2nd Edition of IEEE Delhi Section Owned Conference (DELCON 2023) (pp. 201–208). IEEE.

Mohamed Taieb Krakdia | Microgrids | Best Researcher Award

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Mr. Mohamed Taieb Krakdia | Microgrids | Best Researcher Award

National Engineering School of Gabes | Tunisia

Dr. Mohamed Taieb Krakdia is a seasoned and highly respected educator and researcher in the field of electrical engineering and renewable energy. Over a distinguished career with Tunisia’s Ministry of Education, he has held roles ranging from secondary school teacher to Principal Teacher, Senior Professor Emeritus of Secondary Education, and currently Distinguished Senior Professor (exceptional degree). His pedagogical journey reflects deep commitment to advancing STEM education and nurturing future generations of engineers. Dr. Krakdia’s academic credentials include an engineer‑level master’s degree in electrical engineering from Université Elhadj Lakhder (Batna, Algeria), followed by a professional master’s specialization in Renewable Energies and Energy Efficiency (ISET, Sidi Bouzid, Tunisia). He is also pursuing PhD research focused on the optimization of renewable energy resources in microgrids at ENIG, Tunisia. His technical repertoire spans a broad spectrum: software tools (Word, Excel, Access, PowerPoint, Internet), programming (C, C++, MikroPascal), simulation platforms (MATLAB, Electronic Workbench), design tools (AutoCAD), and microcontroller development (embedded systems, microC).


Profile: Orcid

Featured Publications

Krakdia, M. T. (2025). Control for a DC microgrid for photovoltaic–wind generation with a solid oxide fuel cell, battery storage, dump load (aqua-electrolyzer), and three-phase four-leg inverter (4L4W). Clean Technologies, 7(3), 79.

Krakdia, M. T. (2024). Sliding-mode and Lyapunov function based control for a DC microgrid with renewable generation, a solid oxide fuel cell, and battery storage. In Green Energy and Technology (pp. [page numbers not available]). Springer.

Surendra Kumar Patel | Friction Stir Processing | Young Scientist Award 

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Dr. Surendra Kumar Patel | Friction Stir Processing | Young Scientist Award 

Shandong University, China

Dr. Surendra Kumar Patel is an accomplished mechanical engineer whose scholarly work focuses on surface composites and metal matrix composites. He earned his PhD in Mechanical Engineering (specializing in Surface Composites) from the National Institute of Technology Mizoram in 2022, with a thesis on the microstructural, mechanical, and tribological properties of WC and ZrSiO₄ particle-reinforced aluminum surface composites fabricated using the friction stir processing (FSP) route. Earlier he received his M.Tech in Mechanical Engineering (specializing in Metal Matrix Composite) from Maulana Azad National Institute of Technology Bhopal (2014), where he studied microstructural analysis and slurry erosion behavior in dual-particle reinforced LM-13 alloy composites, and a B.Tech (2012) from Gautam Buddha Technical University, with early work in wind energy. Since April 2023 he has served as a Post-doctoral Fellow at the School of Materials Science and Engineering, Shandong University, China, working on bioactive reinforced magnesium-based surface composites via FSP, with funding from international and provincial Chinese science foundations. From 2014 to 2017 he was an Assistant Professor in Mechanical Engineering at Radharaman Engineering College, India, teaching undergraduate courses such as Strength of Materials, Fluid Mechanics, Materials Technology, and supervising student projects, also serving as Head of Department for the polytechnic wing. His research output includes ≈ 30 peer-reviewed documents, with total citations around 250, and an h-index of 8 (as of [most recent data]). Dr. Patel is noted for his experimental rigor in fabrication techniques, wear and erosion testing, microstructural characterization, and bridging engineering education with research.

Profiles: Scopus | Google Scholar 

Featured Publications 

Singh, V. P., Patel, S. K., Ranjan, A., & Kuriachen, B. (2020). Recent research progress in solid state friction-stir welding of aluminium–magnesium alloys: A critical review. Journal of Materials Research and Technology, 9(3), 6217–6256.

Singh, V. P., Patel, S. K., & Kuriachen, B. (2021). Mechanical and microstructural properties evolutions of various alloys welded through cooling assisted friction-stir welding: A review. Intermetallics, 133, 107122.

Patel, S. K., Singh, V. P., Roy, B. S., & Kuriachen, B. (2020). Recent research progresses in Al-7075 based in-situ surface composite fabrication through friction stir processing: A review. Materials Science and Engineering: B, 262, 114708.

Singh, V. P., Patel, S. K., Kumar, N., & Kuriachen, B. (2019). Parametric effect on dissimilar friction stir welded steel-magnesium alloys joints: A review. Science and Technology of Welding and Joining, 24(8), 653–684.

Patel, S. K., Kuriachen, B., Kumar, N., & Nateriya, R. (2018). The slurry abrasive wear behaviour and microstructural analysis of A2024-SiC-ZrSiO4 metal matrix composite. Ceramics International, 44(6), 6426–6432.

Patel, S. K., Singh, V. P., Kumar, D., Roy, B. S., & Kuriachen, B. (2022). Microstructural, mechanical and wear behavior of A7075 surface composite reinforced with WC nanoparticle through friction stir processing. Materials Science and Engineering: B, 276, 115476.

Sajan Preet | Energy Systems Design | Best Researcher Award

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Dr. Sajan Preet | Energy Systems Design | Best Researcher Award 

Research fellow at University of Birmingham, United Kingdom

Dr. Sajan Preet is an accomplished researcher and educator with a Ph.D. in Energy Engineering from the Malaviya National Institute of Technology, where his doctoral research focused on the performance evaluation of photovoltaic double-skin façades with forced ventilation in hot climate zones. With a strong foundation in Mechanical Engineering (B.Tech) and Thermal Engineering (M.Tech), he has developed sustainable, energy-efficient building envelopes and heating/cooling systems, and has extensive experience in simulation and modeling tools including IES-VE, DesignBuilder, and EnergyPlus. He currently lectures in Mechanical Engineering at Regent College London, whilst pursuing higher-education pedagogy studies — holding a Postgraduate Certificate in Higher Education (PGCHE) from University of Falmouth and currently undertaking a Postgraduate Certificate in Higher Education Policy (PGCHEP) at University of Birmingham. His research encompasses designing solid-state refrigerant-based zero carbon heating/cooling systems, life-cycle assessments, latent heat storage integration, sensitivity and uncertainty analyses across climatic zones, and contributions to international collaborations. To date, his work has produced over 15 peer-reviewed publications and has garnered approximately 200 citations, giving him an h-index of 8. Driven by a commitment to sustainable energy technologies, he emphasizes student engagement, innovative pedagogy, and aims to contribute to both scholarly impact and real-world solutions in the pursuit of net-zero emissions goals.

Profiles: Scopus | Orcid | Google Scholar 

Featured Publications 

Preet, S., Bhushan, B., & Mahajan, T. (2017). Experimental investigation of water-based photovoltaic/thermal (PV/T) system with and without phase change material (PCM). Solar Energy, 155, 1104–1120.

Preet, S. (2018). Water and phase change material based photovoltaic thermal management systems: A review. Renewable and Sustainable Energy Reviews, 82, 791–807.

Preet, S., & Smith, S. T. (2024). A comprehensive review on the recycling technology of silicon based photovoltaic solar panels: Challenges and future outlook. Journal of Cleaner Production, 448, 141661.

Preet, S., Mathur, J., & Mathur, S. (2022). Influence of geometric design parameters of double skin façade on its thermal and fluid dynamics behavior: A comprehensive review. Solar Energy, 236, 249–279.

Preet, S., Sharma, M. K., Mathur, J., Chowdhury, A., & Mathur, S. (2020). Performance evaluation of photovoltaic double-skin façade with forced ventilation in the composite climate. Journal of Building Engineering, 32, 101733.

Preet, S. (2021). A review on the outlook of thermal management of photovoltaic panel using phase change material. Energy and Climate Change, 2, 100033.

Preet, S., Sharma, M. K., Mathur, J., Chowdhury, A., & Mathur, S. (2023). Analytical model of semi-transparent photovoltaic double-skin façade system (STPV-DSF) for natural and forced ventilation modes. International Journal of Ventilation, 22(2), 138–167.

Sharma, M. K., Preet, S., Mathur, J., Chowdhury, A., & Mathur, S. (2021). Parametric analysis of factors affecting thermal performance of photovoltaic triple skin façade system (PV-TSF). Journal of Building Engineering, 40, 102344.

Atsushi Fukuyama | Waves in Plasmas | Best Researcher Award 

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Prof. Atsushi Fukuyama | Waves in Plasmas | Best Researcher Award 

Kyoto University, Japan

Prof. Atsushi Fukuyama is a distinguished Japanese researcher in fusion plasma physics, with a Dr.Eng. in Electronics from Kyoto University (1980), where he also earned his M.S. and B.A. in Electronics. Over more than four decades, he has made pivotal contributions to modelling of RF heating and current drive, lower hybrid wave heating, transport phenomena, plasma control, and integrated modelling of fusion plasmas. His academic appointments include Professor of Nuclear Engineering at Kyoto University (1998-2017), Visiting Professor at the National Institute for Fusion Science, senior research roles at ITER Organization, and earlier positions at Okayama University and research institutes. He has published extensively: according to Google Scholar, he has h-index = 44, over 300 documents, and more than 7,000 citations to his work. His long-list of publications includes foundational theoretical and modelling papers on nonlinear wave-plasma interactions, ion cyclotron harmonic effects, global transport in tokamaks, propagation and absorption of RF waves (e.g. lower hybrid, ICRF etc.). In addition, Prof. Fukuyama has held leadership roles such as Deputy Director and Director of ICT/Engineering units at Kyoto University; served on national and international fusion and plasma physics bodies such as ITER, ITPA, IFERC, MEXT committees; and has been recognized multiple times with awards from The Japan Society of Plasma Science & Nuclear Fusion Research for excellence in research publication.

Profiles: Scopus | Orcid | Google Scholar | Staff Page

Featured Publications 

Khan, S. A., & Fukuyama, A. (2025). Kinetic full-wave analysis of injected electromagnetic wave in an inhomogeneous hot plasma. Physical Review E, 102(4).

Seino, T., Yanagihara, K., Takahashi, H., Tobita, K., Nagasaki, K., Fukuyama, A., Matsuyama, A., Oishi, T., & Maekawa, T. (2024). Systematic numerical analysis of ECCD exploring injection conditions with high CD efficiency and current profile controllability in JA DEMO. Fusion Engineering and Design, 114, Article 114460.

Khan, S. A., & Fukuyama, A. (2021). On kinetic electrostatic plasma waves carrying orbital angular momentum. Physics of Plasmas, 28(7), 072105.

Ido, T., Fujisawa, A., Takemura, K., Kobayashi, T.-K., Nishimura, D., Kasuya, N., Fukuyama, A., Moon, C., Yamasaki, K., Inagaki, S., et al. (2021). Conceptual design of heavy ion beam probes on the PLATO tokamak. Review of Scientific Instruments, 92(5), 053501.

Na, Y.-S., Koechl, F., Polevoi, A. R., Byun, C. S., Na, D. H., Seo, J., Felici, F., Fukuyama, A., Garcia, J., Hayashi, N., et al. (2019). On benchmarking of simulations of particle transport in ITER. Nuclear Fusion, 59(7), 076036.

Hanada, K., Yoshida, N., Honda, T., Wang, Z., Kuzmin, A., Takagi, I., Hirata, T., Oya, Y., Miyamoto, M., Zushi, H., et al. (2017). Investigation of hydrogen recycling in long-duration discharges and its modification with a hot wall in the spherical tokamak QUEST. Nuclear Fusion, 57(12), 126061.

Juliana Eccher | Physics of Condensed Matter | Best Researcher Award 

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Prof. Juliana Eccher | Physics of Condensed Matter | Best Researcher Award 

Universidade Federal de Santa Catarina, Brazil

Prof. Juliana Eccher is a distinguished physicist specialising in liquid crystals, organic electronics, and optoelectronic devices. She earned her PhD in Physics from Universidade Federal de Santa Catarina (UFSC), Brazil in 2014 under the supervision of Ivan Helmuth Bechtold, following her MSc (2010) and dual undergraduate degrees in Licenciatura (2006) and Bacharelado (2008) in Physics, also from UFSC. She holds a CNPq Research Productivity scholarship (Level C) and has been deeply involved in research and education in exact and earth sciences since. Prof. Eccher has published over 27 academic documents, which have together amassed approximately 575 citations, and her h-index stands at 12. Her work focuses on the synthesis, characterisation and application of discotic and columnar liquid crystals, organic semiconductors, doped nanocomposites including metallic nanoparticles and carbon nanotubes, and thin-film alignment techniques for advanced optoelectronic and photovoltaic devices. She has led and participated in multiple funded research projects domestically and internationally, including Projects in organic charge transfer, solar cell applications, and photophysics of luminescent liquid crystals. Her contributions also include supervising graduate and postgraduate students, coordinating extension and outreach activities, and regularly reviewing for international journals. Proficient in laboratory techniques for structural, optical, and electronic characterisation, she integrates research with teaching and community engagement to advance both scientific knowledge and application in sustainable technologies.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications 

Stadtlober, C. H., Olegario, J. E. S., Mezalira, D. Z., Bock, H., Franca, L. G., Monkman, A. P., & Eccher, J. (2025). Homeotropic alignment and delayed fluorescence of thin films of a columnar liquid crystal doped with multiwalled carbon nanotubes. Liquid Crystals. Advance online publication.

Liguori, D., Kern, B. S., Eising, R., Mezalira, D. Z., Nome, R. C., Ely, F., Gallardo, H., Bock, H., Bechtold, I. H., & Eccher, J. (2025). Surface plasmon-dependent photoluminescence in a columnar liquid crystal doped with metallic nanoparticles. Liquid Crystals. Advance online publication.

Avila, L. B., Chulkin, P., Serrano, P. A., Dreyer, J. P., Berteau-Rainville, M., Orgiu, E., Franca, L. D. L., Zimmermann, L. M., Bock, H., Faria, G. C., … (2024). Perylene-based columnar liquid crystal: Revealing resistive switching for nonvolatile memory devices. Journal of Molecular Liquids, 413, 124757.

Alves, A. L., Bernardino, S. V., Stadtlober, C. H., Girotto, E., Farias, G., do Nascimento, R. M., Curcio, S. F., Cazati, T., Dotto, M. E. R., Eccher, J., … (2023). Charge carrier transport in perylene-based and pyrene-based columnar liquid crystals. Beilstein Journal of Organic Chemistry, 19, 128.

Silva, F. N., Luciano, H. M., Stadtlober, C. H., Farias, G., Durola, F., Eccher, J., Bechtold, I. H., Bock, H., Gallardo, H., & Vieira, A. A. (2023). Dissymmetric triaryltriazines: Small mass columnar glasses. Chemistry – A European Journal, 29(46), e202301319.

Alexander Yeremeyev | Superconducting Qubits | Best Researcher Award

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Mr. Alexander Yeremeyev | Superconducting Qubits | Best Researcher Award 

PhD Student at Moscow Institute of Physics and Technology, Russia

Mr. Alexander Yeremeyev is a rising physicist specializing in quantum nanomaterials and devices, currently pursuing a PhD at the Landau School of Physics and Research, Moscow Institute of Physics and Technology (MIPT), building on his Master’s studies (2023-2025) in Applied Mathematics and Physics both at MIPT and Skoltech. His master’s work focused on preparation of entangled states of superconducting qubits via variational quantum algorithms and demonstration of violations of the CHSH inequality, following a Bachelor’s in the same field where he successfully implemented an unconditional reset of a superconducting qubit to the ground state while handling a 12-qubit device. Alexander has practical experience working with cryogenic equipment, conducting experiments on superconducting qubits, and performing numerical simulations as engineer and technician in MIPT’s Laboratory of Artificial Quantum Systems. He has presented his work at several notable conferences including the MIPT All-Russian Conferences, the Symposium on Nanophysics and Nanoelectronics, and Superconductivity in Nanostructures, receiving recognition such as Best Student Report in 2023 and winning in the Skoltech ConsumerTech cohort for innovation. To date, his scholarly metrics include h-index = X, with Y peer-reviewed documents and Z total citations, reflecting his growing contribution to quantum information science.

Profile: Orcid 

Featured Publications 

"Variational Preparation of Entangled States in a System of Transmon Qubits"

"Transport of magnetically sensitive atoms in a magnetic environment"

 

Syed Muhammad Yousaf Farooq | Medical Imaging (Ultrasound) | Best Researcher Award

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Assoc. Prof. Dr. Syed Muhammad Yousaf Farooq | Medical Imaging (Ultrasound) | Best Researcher Award 

Green International University, Pakistan

Assoc. Prof. Dr. Syed Muhammad Yousaf Farooq is a distinguished scholar in Diagnostic and Medical Ultrasound currently serving as Head of Department and Assistant Professor in Radiography & Medical Imaging at Green International University, Lahore, where he also directs the Office of Research, Innovation and Commercialization. He earned his PhD in Diagnostic Ultrasound (2020-2023), MPhil (2018-2020), and Master’s (2016-2018), all from the University of Lahore, where he also completed his Bachelor of Ultrasound Technology. Over his career he has held multiple leadership roles, including Research Head, Coordinator, Committee convener in curriculum, research ethics, and migration, and has worked as a sonographer in clinical settings. His research includes theses on renal cystic disease prevalence by ultrasound, sonographic correlation of adnexal masses and endometrial thickness in infertile females, and development of predictive models for female infertility based on ultrasonographic findings. His scholarly output has earned him an h-index ≈ 10 with total documents ~ 50-70 and citations ~ 300-500, reflecting solid impact in his field. He teaches at BS, MS, and PhD levels in Diagnostic Ultrasound and Medical Imaging, supervises postgraduate research, organizes conferences (including chairing in 2024), and contributes to institutional governance through roles in boards, ethical committees, and program oversight. He is committed to advancing ultrasound education and research in Pakistan.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications 

"Cervical Length at Term Pregnancy as a Predictor of Spontaneous Delivery Within a Week: A Sonographic Study"

"Early Prediction of Diabetes by Ultrasonographic Measuring of Heel Pad Thickness: A Case‐Control Study"

"Sonographic effect of diabetes on thickness and cross-sectional area of Achilles tendon"

"Effect of oligohydramnios versus gestational hypertension on umbilical artery velocimetry"

"Effect of Endometritis on Caesarean Section Scar Thickness: A Sonographic Study"

"Doppler comparison of fetoplacental blood flow characteristics between pre-gestational diabetic and non-diabetic pregnant women during second and third trimester of pregnancy"

"Correlation of carotid artery doppler indices with national institute of health sciences stroke scale in post stroke patients"

Srabani Taraphder | Computer Simulation of Enzyme Dynamics | Best Researcher Award

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Prof. Srabani Taraphder | Computer Simulation of Enzyme Dynamics | Best Researcher Award

Indian Institute of Technology Kharagpur, India

Prof. Srabani Taraphder is a distinguished Professor of Chemistry at the Indian Institute of Technology, Kharagpur, with an academic journey that began with a B.Sc. in Chemistry (Hons.) from Presidency College, Calcutta University (1990), followed by an M.S. in Chemistry (1992) and a Ph.D. in Physical Chemistry (1996) from the Indian Institute of Science, Bangalore, under the supervision of Prof. Biman Bagchi. Her doctoral thesis on Molecular Relaxation in Liquids: From Ultrafast to Ultraslow Dynamics in Dipolar Solvents set the foundation for her pioneering work in theoretical and computational chemistry. With postdoctoral and visiting scientist positions at premier institutions across the USA, Europe, and Asia including the University of Chicago, NIH (USA), University of Trieste (Italy), CNRS (France), Max Planck Institute (Germany), and UCL (UK) she has built an international reputation in molecular modeling and simulation. Over the years, Prof. Taraphder has progressed from Visiting Lecturer (IIT Kharagpur, 1996–1998) to Assistant Professor (1998–2007), Associate Professor (2007–2011), and full Professor (2011–present). She is widely recognized for her methodological advances in rare event simulations, enzyme catalysis, and multi-scale modeling of biological systems, particularly human carbonic anhydrases (HCAs), where her group was the first in India to employ advanced transition path sampling methods. Her work has provided a new framework for understanding enzyme catalysis, conformational fluctuations, pH-dependent regulation, and drug–enzyme interactions relevant to cancer therapeutics. She has also pioneered the integration of statistical mechanics, machine learning, and deep learning into enzyme kinetics and protein dynamics. A prolific researcher, she has authored over 140 publications, with more than 4,800 citations and an h-index of 35, reflecting her global impact. She has delivered over 100 invited talks at national and international conferences, including ACS, CRSI, and CECAM meetings. Her contributions have been recognized through prestigious awards, including the Professor A. K. Chandra Memorial Award (2024), the INSA Teachers Award (2018), the Charushita Chakravarty Memorial Lecture Award (2020), and the Indo-US Research Fellowship (2009). She is a Fellow of the West Bengal Academy of Science & Technology (2020), a life member of CRSI, and a premium member of ACS. Several of her publications have been highlighted internationally, including in Nature India and as “Very Important Papers” by Chemistry Europe. Beyond her scientific achievements, she has been an inspiring mentor, advancing the frontiers of computational chemistry in India while shaping the next generation of researchers. Her career exemplifies excellence in research, teaching, and leadership in theoretical chemistry and interdisciplinary science.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications 

"Enhanced Sampling and Conformation-Dependent pKa of Histidine Side Chains: A Case Study in Human Carbonic Anhydrase II"

"Molecular Modeling of Glycosylated Catalytic Domain of Human Carbonic Anhydrase IX"

"Structure and non-reactive dynamics of the dimeric catalytic domain of human carbonic anhydrase IX"

"pH-Dependent Structure and Dynamics of the Catalytic Domains of Human Carbonic Anhydrase II and IX"

"Nonlinear Reaction Coordinate of an Enzyme Catalyzed Proton Transfer Reaction"

"Structure and Dynamics of the Isozymes II and IX of Human Carbonic Anhydrase"

"Molecular modelling of two coordination states of Zn(II) ion at the active site of human carbonic anhydrase II"