Prof. Viviane Faleiro | Experimental Methods | Women Researcher Award

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Prof. Viviane Faleiro | Experimental Methods | Women Researcher Award

Professor | Universidade Estácio de Sá | Brazil

Prof. Viviane Faleiro is an accomplished academic and researcher renowned for her innovative contributions to health sciences through advanced Experimental Methods. As a lecturer and researcher at Universidade Estácio de Sá and Universidade Salgado de Oliveira, she has built a distinguished career centered on Experimental Methods in exercise physiology, metabolism, and occupational well-being. Her research integrates Experimental Methods to explore the physiological mechanisms underlying exercise performance, energy metabolism, and workplace health. Through her work at the Exercise Physiology Laboratory (LAFIEX), she employs precise Experimental Methods to analyze post-exercise oxygen consumption, lipid oxidation, and recovery processes, contributing to a deeper understanding of metabolic adaptations to various training protocols. Prof. Viviane Faleiro’s scientific achievements include publications in leading journals such as Sports (MDPI) and Journal of Functional Morphology and Kinesiology, where she has effectively applied Experimental Methods to demonstrate the superiority of high-intensity and circuit training in enhancing metabolic efficiency. Her collaborations with prominent researchers at Universidade do Estado do Rio de Janeiro (UERJ) and UNISUAM highlight her commitment to interdisciplinary research, where Experimental Methods serve as a bridge between scientific rigor and practical application. Her consultancy work at INOOVA Assessoria Esportiva further extends her influence beyond academia, integrating Experimental Methods into health promotion and sports performance programs that impact public and private sector initiatives, including the Maricá Cidade Olímpica project. Her continued engagement with scientific publication and international collaboration reflects her role as a global advocate for the use of Experimental Methods in advancing human performance and occupational health research. With a growing presence in citation databases and an expanding body of peer-reviewed work, Prof. Viviane Faleiro exemplifies scientific precision, innovation, and dedication. Her commitment to applying Experimental Methods in every aspect of her research underscores her impact on developing evidence-based strategies for training, rehabilitation, and inclusive physical education, contributing significantly to the global advancement of exercise and health sciences.

Profiles: Scopus | ORCID

Featured Publications

1. Faleiro, V., Gurgel, A. V., Guimarães, T. T., Figueiredo, T. C., Teixeira, F. G., Jotta, B., Monteiro, E. R., Meirelles, A. G., Caldas, C. C. A., & de Almeida, M. T. (2025). Isocaloric high-intensity interval and circuit training increases excess post-exercise oxygen consumption and lipid oxidation compared to moderate-intensity continuous training. Sports, 13(10), 355.

2. Marques Neto, S. R., Lattari, E., Gurgel, A., Faleiro, V., Machado, S., Farinatti, P., & Maranhão Neto, G. (2019). Determination of heart rate threshold from heart rate kinetics during maximal graded exercise in soccer players. Revista Brasileira de Cineantropometria & Desempenho Humano.

Dr. Roman Nevzorov | High Energy Physics | Best Researcher Award

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Dr. Roman Nevzorov | High Energy Physics | Best Researcher Award

Leading Research Scientist | P.N. Lebedev Physical Institute of the Russian Academy of Sciences | Russia

Dr. Roman Nevzorov is a distinguished theoretical physicist specializing in High Energy Physics, particularly in supersymmetry, Higgs phenomenology, and Grand Unified Theories. His academic foundation was built at the Moscow Institute of Physics and Technology, followed by a Ph.D. at the Institute for Theoretical and Experimental Physics and a habilitation from the Institute for Nuclear Research of the Russian Academy of Sciences. His professional journey includes positions at the I.E. Tamm Theory Department of the P.N. Lebedev Physical Institute, the University of Hawaii, the University of Glasgow, the University of Southampton, and the ARC Centre of Excellence for Particle Physics at the Terascale. With extensive contributions in High Energy Physics, his research has focused on supersymmetric extensions of the Standard Model, dark matter, neutrino physics, cosmology, and the High Energy Physics implications of composite Higgs models. He has presented at numerous international High Energy Physics conferences and contributed over 100 publications to leading journals such as Physical Review D, Physics Letters B, and Nuclear Physics B. His work has been recognized with fellowships from Alfred Toepfer Stiftung and SUPA, reflecting his global standing in High Energy Physics. Dr. Nevzorov’s research skills encompass analytical modeling, supersymmetric theory formulation, and particle-cosmology correlation in High Energy Physics frameworks. His continuous exploration of baryogenesis, leptogenesis, and electroweak symmetry breaking establishes him as a pivotal figure in theoretical High Energy Physics, with his scholarly achievements marking significant progress in understanding the universe at its most fundamental level. Scopus profile of 2,169 Citations, 84 Documents, 28 h-index.

Profile: Scopus

Featured Publications

1. Spin-independent interactions of Dirac fermionic dark matter in the composite Higgs models. Physical Review D.

2. Cold dark matter in the SE6SSM. Conference Paper.

3. Phenomenological aspects of supersymmetric extensions of the Standard Model. Review Article.

4. Leptogenesis and dark matter–nucleon scattering cross section in the SE6SSM. Universe.

5. TeV-scale leptoquark searches at the LHC and their E6SSM interpretation. Journal of High Energy Physics.

Assoc. Prof. Dr. Krishna Pada Das | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Krishna Pada Das | Mathematics | Best Researcher Award

Associate Professor | Mahadevananda Mahavidyalaya | India

Assoc. Prof. Dr. Krishna Pada Das, a distinguished scholar in Mathematics, currently serves as an Associate Professor in the Department of Mathematics at Mahadevananda Mahavidyalaya, Barrackpore. His academic journey includes a Bachelor’s and Master’s degree in Mathematical Science from Calcutta University and a Doctorate in Applied Mathematics from Jadavpur University, where he conducted pioneering research under the supervision of Prof. Joydev Chattopadhyay at the Indian Statistical Institute. With extensive professional experience as a researcher and educator, he has contributed significantly to the field of Mathematics through his exploration of eco-epidemiological models, nonlinear dynamics, and bifurcation theory. His Mathematics research primarily focuses on the dynamics of predator-prey systems, infectious disease modeling, and population ecology using advanced mathematical tools such as fractional calculus, diffusion, stochastic processes, and delay differential equations. Over the course of his Mathematics career, Assoc. Prof. Dr. Krishna Pada Das has published more than ninety high-impact Mathematics research papers and guided multiple Ph.D. candidates in applied and computational Mathematics. His notable Mathematics achievements include the ISI Research Award and clearing the SLET examination, recognizing his exceptional academic and research proficiency in Mathematics. His Mathematics skills encompass mathematical modeling, numerical simulation using MATLAB, and analytical techniques for stability and chaos control in biological systems. In conclusion, his Mathematics contributions have strengthened interdisciplinary research connecting ecology, epidemiology, and applied mathematics, solidifying his position as a prominent researcher. Google Scholar profile of 1840 Citations, 23 h-index, 38 i10 index.

Profile: Google Scholar

Featured Publications

1. Das, K., & Mukherjee, A. K. (2007). Differential utilization of pyrene as the sole source of carbon by Bacillus subtilis and Pseudomonas aeruginosa strains: Role of biosurfactants in enhancing. Journal of Applied Microbiology, 102(1), 195–203.

2. Dutta, S. K., Das, K., Ghosh, B., & Blackman, C. F. (1992). Dose dependence of acetylcholinesterase activity in neuroblastoma cells exposed to modulated radio‐frequency electromagnetic radiation. Bioelectromagnetics, 13(4), 317–322.

3. Soni, B. K., Das, K., & Ghose, T. K. (1982). Bioconversion of agro-wastes into acetone butanol. Biotechnology Letters, 4(1), 19–22.

4. Kooi, B. W., van Voorn, G. A. K., & Das, K. P. (2011). Stabilization and complex dynamics in a predator–prey model with predator suffering from an infectious disease. Ecological Complexity, 8(1), 113–122.

5. Das, C. R., Mondal, N. K., Aditya, P., Datta, J. K., Banerjee, A., & Das, K. (2012). Allelopathic potentialities of leachates of leaf litter of some selected tree species on gram seeds under laboratory conditions. Asian Journal of Experimental Biological Sciences, 3(1), 59–65.*

Prof. Viktor Mykhas’kiv | Computational Methods | Best Researcher Award

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Prof. Viktor Mykhas’kiv | Computational Methods | Best Researcher Award

Leading Scientific Researcher | Institute for Applied Problemss of Mechanics and Mathematics | Ukraine

Prof. Viktor Mykhas’kiv is a distinguished researcher at the Pidstryhach Institute for Applied Problems of Mechanics and Mathematics, National Academy of Sciences of Ukraine. His academic achievements include a Doctor of Science in Physics and Mathematics and a professorship in Mechanics of Deformable Solids. His extensive expertise in Computational Methods spans across Computational Mechanics, Materials Science, Structural Mechanics, and Multiscale Mathematical Modeling. Through his pioneering work, he has applied Computational Methods to study wave propagation, metamaterials, and nanomechanics, advancing knowledge in multiple scattering theory. His research leadership in international collaborations under INTAS, STCU, DAAD, DFG, and Fulbright programs highlights his ability to integrate Computational Methods within global scientific frameworks. As a team leader and project manager, he has promoted innovative Computational Methods in the investigation of elastic metamaterials and complex lattice structures. He has published widely, authoring over seventy-six Scopus-indexed papers, two books, and contributing to editorial boards of international journals like Mathematical Methods and Physicomechanical Fields. His commitment to excellence in Computational Methods is reflected in his role as a member of the European Structural Integrity Society. He has also served as a visiting researcher in the USA and Germany, applying Computational Methods to solve advanced mechanical and physical problems. His awards and honors recognize his groundbreaking use of Computational Methods in applied mechanics and theoretical modeling. With remarkable research skills and professional integrity, Prof. Viktor Mykhas’kiv continues to contribute significantly to global scientific progress. Scopus profile of 474 Citations, 76 Documents, 14 h-index.

Profiles: Scopus | ORCID

Featured Publications

1. Stankevych, V. Z., & Mykhas’kiv, V. V. (2023). Intensity of dynamic stresses of longitudinal shear in a periodically layered composite with penny-shaped cracks. Journal of Mathematical Sciences, 269(2), 268–280.

2. Mykhas’kiv, V. V., & Stasyuk, B. M. (2021). Effective elastic moduli of short-fiber composite with sliding contact conditions at interfaces. Mechanics of Composite Materials, 57(6), 845–854.

3. Mykhas’kiv, V., & Stankevych, V. (2019). Elastodynamic problem for a layered composite with penny-shaped crack under harmonic torsion. ZAMM – Zeitschrift für Angewandte Mathematik und Mechanik, 99(8), e201800193.

4. Mykhas’kiv, V. V., Zhbadynskyi, I. Y., & Zhang, C. (2019). On propagation of time-harmonic elastic waves through a double-periodic array of penny-shaped cracks. European Journal of Mechanics - A/Solids, 74, 68–77.

5. Zhbadynskyi, I. Y., & Mykhas’kiv, V. V. (2018). Acoustic filtering properties of 3D elastic metamaterials structured by crack-like inclusions. Proceedings of the International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED), 54–59.

Yuanfang Han | Experimental Methods | Best Researcher Award

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Mr. Yuanfang Han | Experimental Methods | Best Researcher Award

Yuanfang Han | Beijing University of Posts and Telecommunications | China

Mr. Yuanfang Han is an Engineering researcher specializing in network performance analysis with strong expertise in Experimental Methods that drive innovation in server diagnosis and optimization, where his academic foundation at the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications has equipped him with advanced skills in passive traffic measurement, anomaly detection, and performance management metrics. His professional experience highlights Experimental Methods applied to large-scale systems, particularly through the development of the Cross-Environment Server Diagnosis with Fusion (CSDF) framework in collaboration with China Tower Corporation Limited, achieving significant efficiency improvements. His research interest is anchored in Experimental Methods for traffic-based anomaly detection, host–network correlation, and machine-learning-driven optimization of communication networks, producing impactful contributions such as SCI-indexed publications in Electronics. Recognition through awards and industry collaborations reflects his excellence in applying Experimental Methods to both academic and industrial challenges. His research skills encompass cross-environment request alignment, packet capture analysis, and random-forest-based attribution models, each grounded in Experimental Methods that ensure accurate performance diagnostics. With membership in IEEE and contributions that reduce system response time in production environments, he demonstrates how Experimental Methods extend beyond theory into real-world deployment. In conclusion, Mr. Yuanfang Han exemplifies Engineering leadership through Experimental Methods that integrate machine learning, system diagnosis, and network optimization, marking him as a promising researcher with impactful contributions to future technological advancements.

Profile: ORCID

Featured Publication

1. Han, Y., Zhang, Z., Li, X., Zhao, J., Gu, R., & Wang, M. (2025). A non-intrusive approach to cross-environment server bottleneck diagnosis via packet-captured application latency and APM metrics. Electronics, 14(19), 3824.

Dr. Bahadir Kopcasiz | Computational Methods | Best Researcher Award

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Dr. Bahadir Kopcasiz | Computational Methods | Best Researcher Award

Assistant Professor | Istanbul Gelisim University | Turkey

Dr. Bahadir Kopcasiz is an accomplished academic whose expertise centers on Computational Methods, with strong emphasis on nonlinear partial differential equations, soliton theory, symbolic and semi-analytical analysis, and advanced mathematical modeling. He earned his Ph.D. in Mathematics from Bursa Uludag University, preceded by a Master’s in Mathematics from Yeditepe University and a Bachelor’s from Karadeniz Technical University, building a solid foundation for his contributions in Computational Methods. Currently serving as an Assistant Professor at Istanbul Gelisim University, he actively teaches courses such as Differential Equations, Statistics, Probability, and Numerical Analysis, integrating Computational Methods into both undergraduate and graduate programs. His research primarily focuses on soliton solutions in nonlinear Schrödinger-type systems, dynamical structures in quantum physics, and the development of innovative Computational Methods to study complex dynamical systems, with numerous publications in high-impact journals including Archives of Computational Methods in Engineering, Nonlinear Dynamics, and Symmetry. He has also presented extensively at international conferences, showcasing advancements in Computational Methods for applied physics and engineering. Among his recognitions, he received the Best Researcher Award at the International Research Awards on Composite Materials and academic incentive awards from Istanbul Gelisim University, which highlight his outstanding scholarly contributions in Computational Methods. His research skills are distinguished by mastery of symbolic computation, semi-analytical modeling, and integration of Computational Methods with machine learning for dynamic system optimization, as evidenced by his involvement in national projects. In conclusion, Dr. Bahadir Kopcasiz exemplifies excellence in academia through his dedication to advancing Computational Methods, innovative problem-solving, impactful publications, and mentorship, establishing himself as a valuable contributor to mathematics, physics, and engineering research. His Google Scholar citations 337, h-index 12, i10-index 14, showcasing measurable research impact.

Profiles: Google Scholar | ORCID

Featured Publications

1. Kopçasız, B., & Yaşar, E. (2022). The investigation of unique optical soliton solutions for dual-mode nonlinear Schrödinger’s equation with new mechanisms. Journal of Optics, 1–15.

2. Kopçasız, B., & Yaşar, E. (2022). Novel exact solutions and bifurcation analysis to dual-mode nonlinear Schrödinger equation. Journal of Ocean Engineering and Science.

3. Kopçasız, B., & Yaşar, E. (2024). Dual-mode nonlinear Schrödinger equation (DMNLSE): Lie group analysis, group invariant solutions, and conservation laws. International Journal of Modern Physics B, 38(02), 2450020.

4. Kopçasız, B. (2024). Qualitative analysis and optical soliton solutions galore: Scrutinizing the (2+1)-dimensional complex modified Korteweg–de Vries system. Nonlinear Dynamics, 112(23), 21321–21341.

5. Kopçasız, B., Seadawy, A. R., & Yaşar, E. (2022). Highly dispersive optical soliton molecules to dual-mode nonlinear Schrödinger wave equation in cubic law media. Optical and Quantum Electronics, 54(3), 194.

Dr. Prity Kumari | Mathematics | Women Researcher Award

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Dr. Prity Kumari | Mathematics | Women Researcher Award

PhD scholar | National Institute of Technology | India

Dr. Prity Kumari is an accomplished researcher in Mathematics with expertise in graph theory, combinatorics, cryptography, wireless sensor networks, and machine learning, demonstrating a strong academic and professional foundation through advanced studies and significant teaching experience in engineering mathematics, numerical methods, and discrete mathematics. Her doctoral work focused on the application of combinatorial design in wireless sensor networks, reflecting her depth in both theoretical and applied Mathematics. She has published impactful research in reputed SCIE and Q1/Q2 journals, contributing to key areas like group key management, cryptographic security, and re-keying prediction models using Mathematics-driven combinatorial and machine learning approaches. With fellowships, merit-based scholarships, and active participation in national-level workshops on post-quantum cryptography, cyber security, and Mathematics for machine learning, she has broadened her expertise and collaborative exposure. Dr. Prity Kumari has also enriched her professional skills through roles as a Mathematics faculty and teaching assistant, guiding learners in foundational and advanced topics of Mathematics. Her research skills highlight proficiency in combinatorial design, cryptographic applications, algorithmic development, and predictive modeling, aligning with cutting-edge directions in Mathematics and computer science. Awards, honors, and fellowships further strengthen her academic profile, demonstrating excellence and commitment. Beyond research, she engaged in leadership roles like hostel representative, reflecting organizational and interpersonal abilities. In conclusion, Dr. Prity Kumari embodies a Mathematics scholar whose contributions interconnect combinatorial structures, cryptographic security, and applied computational methods, making her a valuable academic and researcher with strong potential for further advancing the field of Mathematics.

Profiles: Google Scholar | ORCID

Featured Publications

1. Kumari, P., & Singh, K. R. (2024). Re-keying analysis in group key management of wireless sensor networks. Cryptography and Communications, 16(3), 665–677.

2. Mandal, R. K. P. K. N. R. D. S. S. K. (2024). Experimental comparison of pool boiling characteristics between CNT, GO, and CNT + GO-coated copper substrate. Heat Transfer. Advance online publication.

3. Kumar, P. K. K. R. S. R. (2025). Stacking ensemble algorithm to predict re-keying in group key management. Arabian Journal for Science and Engineering, 1–15.

4. Pegu, J., Singh, K. R., Kumari, P., & Mishra, V. N. (2025). Decomposition of corona graph. Filomat, 39(10), 3321–3328.

5. Kumari, P., & Singh, K. R. (2025). Re-keying in group key management for wireless sensor network using nested balanced incomplete block designs. IETE Journal of Research, 1–13.

Dr. Akinbo Bayo Johnson | Mathematics | Best Researcher Award

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Dr. Akinbo Bayo Johnson | Mathematics | Best Researcher Award

Senior Lecturer | Federal College of Education, Abeokuta, Nigeria and Postdoctoral researcher at Universidade Federal De Itajuba | Brazil 

Dr. Akinbo Bayo Johnson is a distinguished scholar in applied mathematics whose expertise spans fluid dynamics, entropy generation, nano and non-Newtonian fluids, thermodynamic models, and computational mathematics. With a Ph.D. in applied mathematics and solid foundations from advanced studies in mathematics, his academic journey has been dedicated to advancing theoretical and applied aspects of mathematics. He has served as a lecturer, senior researcher, and currently contributes as a postdoctoral researcher in Brazil, showcasing professional experience across teaching, supervision, and international research collaborations. His research interests are deeply rooted in mathematics, where he explores bioconvectional fluids, heat and mass transfer, and mathematical modeling, all of which have resulted in impactful publications in high-ranking journals. Dr. Akinbo has been honored with awards such as the Best Paper Award, Tetfund Postdoctoral Award, and multiple recognitions from scientific associations, reflecting his excellence in mathematics-driven research. His professional memberships in the Mathematical Association of Nigeria and related bodies further highlight his integration within the mathematics community. Skilled in MATHEMATICA programming and computational approaches, he has applied mathematics extensively in solving differential equations, thermodynamic systems, and fluid mechanics problems. His career demonstrates consistent contributions as a reviewer for international journals, strengthening the dissemination of mathematical knowledge. Overall, Dr. Akinbo Bayo Johnson embodies a commitment to mathematics through education, research, and professional service, and his dedication ensures that mathematics remains a vital tool in addressing complex scientific challenges while inspiring the next generation of mathematics researchers.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Akinbo, B. J., & Olajuwon, B. I. (2023). Impact of radiation and heat generation/absorption in a Walters’ B fluid through a porous medium with thermal and thermo diffusion in the presence of chemical reaction. International Journal of Modelling and Simulation, 43(2), 87–100.

2. Akinbo, B. J., & Olajuwon, B. I. (2021). Impact of radiation and chemical reaction on stagnation-point flow of hydromagnetic Walters' B fluid with Newtonian heating. International Communications in Heat and Mass Transfer, 121, 105115.

3. Akinbo, B. J., & Olajuwon, B. I. (2019). Homotopy analysis investigation of heat and mass transfer flow past a vertical porous medium in the presence of heat source. International Journal of Heat & Technology, 37(3).

4. Akinbo, B. J., & Olajuwon, B. I. (2021). Radiation and thermal-diffusion interaction on stagnation-point flow of Walters' B fluid toward a vertical stretching sheet. International Communications in Heat and Mass Transfer, 126, 105471.

5. Akinbo, B. J., & Olajuwon, B. I. (2021). Heat transfer analysis in a hydromagnetic Walters' B fluid with elastic deformation and Newtonian heating. Heat Transfer, 50(3), 2033–2048.

6. Akinbo, B. J., Faniran, T., & Ayoola, E. O. (2015). Numerical solution of stochastic differential equations. International Journal of Advanced Research in Science, Engineering and Technology.

7. Akinbo, B. J., & Olajuwon, B. I. (2019). Heat and mass transfer in magnetohydrodynamics (MHD) flow over a moving vertical plate with convective boundary condition in the presence of thermal radiation. Sigma Journal of Engineering and Natural Sciences, 37(3), 1031–1053.

8. Akinbo, B. (2021). Influence of convective boundary condition on heat and mass transfer in a Walters’ B fluid over a vertical stretching surface with thermal-diffusion effect. Journal of Thermal Engineering, 7(7), 1784–1796.

9. Akinbo, B. J., & Olajuwon, B. I. (2019). Convective heat and mass transfer in electrically conducting flow past a vertical plate embedded in a porous medium in the presence of thermal radiation and thermo diffusion. Computational Thermal Sciences: An International Journal, 11(4).

10. Akinbo, B. J., & Olajuwon, B. I. (2025). Significance of Cattaneo-Christov heat flux model and heat generation/absorption with chemical reaction in Walters’ B fluid via a porous medium in the presence of Newtonian heating. International Journal of Modelling and Simulation, 45(1), 137–146.

Dr. hardeep kaur | Experimental Methods | Best Researcher Award

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Dr. Hardeep kaur | Experimental Methods | Best Researcher Award

Assistant Professor at Khalsa College | India

Dr. Hardeep kaur is a dedicated researcher in organic chemistry with expertise in drug discovery, fluorescence probes, and computational studies. Through innovative Experimental Methods, she integrates traditional synthesis with in silico modeling to address health challenges like malaria and tuberculosis. Her work on molecular recognition of heavy metals and biological targets highlights the power of Experimental Methods in both diagnostics and therapeutics. As an assistant professor at khalsa college, she combines academic guidance, mentoring, and research leadership with extensive use of Experimental Methods. Her collaborations have advanced applied chemistry, bridging theoretical understanding with practical Experimental Methods. Her consistent contributions and awards demonstrate excellence and dedication, reflecting her continuous pursuit of innovation through rigorous Experimental Methods.

Professional Profiles 

Scopus Profile | ORCID Profile

Education 

Dr. Hardeep kaur holds a strong academic foundation in chemistry, with advanced training that shaped her expertise in Experimental Methods. From undergraduate honors to postgraduate specialization and doctoral research, her education emphasized organic synthesis, molecular design, and mechanistic studies through Experimental Methods. Guided by leading chemists, she developed skills in complex reaction pathways, spectroscopic analysis, and computational approaches that rely heavily on Experimental Methods. Her academic journey refined critical thinking and innovative strategies, incorporating both theoretical principles and Experimental Methods to solve chemical and biological challenges. This solid educational background empowers her to teach, supervise, and inspire future scientists while continuing her own research through advanced Experimental Methods in organic and medicinal chemistry.

Experience 

Assistant professor at khalsa college, Dr. Hardeep kaurhas excelled in teaching, research, and departmental leadership using Experimental Methods as a central tool. She manages academic programs, oversees innovation initiatives, and contributes to institutional committees while guiding students in Experimental Methods. Her professional journey includes supervising numerous postgraduate theses and coordinating seminars, ensuring students develop hands-on skills with modern Experimental Methods. She actively collaborates with academic and industrial partners to translate Experimental Methods into practical solutions, fostering interdisciplinary projects. This extensive professional experience demonstrates her capacity to merge classroom instruction, administrative leadership, and high-impact research into a seamless practice of chemistry through consistent application of Experimental Methods.

Research Interest 

Dr. Hardeep kaur’s research interests revolve around drug discovery, bioactive heterocycles, molecular sensors, and computational chemistry, all enriched by Experimental Methods. She focuses on designing antiplasmodial and antimycobacterial compounds, employing Experimental Methods to optimize synthesis and evaluate biological mechanisms. Her work on fluorescence probes for heavy metal detection utilizes Experimental Methods to develop selective and sensitive systems for environmental and biomedical use. Additionally, her research explores Density Functional Theory (DFT) to complement Experimental Methods, providing mechanistic insight. By integrating Experimental Methods with theoretical modeling, her investigations advance both academic understanding and translational applications in medicinal chemistry, environmental sensing, and advanced material development, maintaining Experimental Methods as a foundation of her scientific contributions.

Award and Honor

Dr. Hardeep kaur has earned recognition for academic excellence, impactful research, and innovation in chemistry, highlighting her skill in Experimental Methods. Her honors include gold medals, competitive fellowships, and international article citations that showcase the influence of her Experimental Methods-based discoveries. Highly cited works on antimalarial hybrids and chemical sensors confirm the global relevance of her Experimental Methods in both healthcare and analytical sciences. Prestigious awards from scientific societies acknowledge her leadership and innovative approaches that combine creativity with rigorous Experimental Methods. Through national and international appreciation, her career reflects a consistent pattern of achievement, driven by precise, reproducible, and groundbreaking Experimental Methods that set benchmarks in modern organic and medicinal chemistry.

Research Skill

Dr. Hardeep kaur possesses advanced research skills in organic synthesis, analytical techniques, and computational modeling, all grounded in Experimental Methods. She is proficient with spectroscopic tools, chromatographic systems, and molecular docking programs, applying Experimental Methods to characterize compounds, validate hypotheses, and interpret biological activities. Her ability to manage sensitive reagents, inert atmospheres, and reaction optimization demonstrates mastery in practical Experimental Methods. Additionally, her integration of data analysis, visualization, and presentation ensures Experimental Methods translate into impactful publications and collaborations. This comprehensive skill set allows her to solve complex chemical problems, mentor future researchers, and develop novel strategies, all underpinned by her expertise in Experimental Methods that bridge innovation and reproducibility.

Publication Top Notes 

Title: Development of sensitive napthaquinone-pyridine hydrazone based chemosensor for the colorimetric detection of Cu2+ ion in an aqueous solution
Year: 2025
Citations: 2

Title: Exploring the anticancer potential of Lasia spinosa rhizomes: insights from molecular docking and DFT investigations on chlorogenic acid and beyond
Year: 2024
Citations: 0

Conclusion

Dr. Hardeep kaur’s career reflects a harmonious integration of education, research, teaching, and collaboration, powered by Experimental Methods. Her dedication to advancing drug discovery, molecular sensing, and applied organic chemistry showcases the transformative potential of well-designed Experimental Methods. Through her leadership, students and colleagues gain exposure to rigorous Experimental Methods that foster innovation and integrity in science. Her achievements across academia, publications, and recognition confirm her role as a leading contributor to modern chemistry, where Experimental Methods not only support discovery but drive scientific evolution. Ultimately, her journey demonstrates how perseverance, creativity, and meticulous Experimental Methods shape impactful careers and contribute meaningfully to global scientific advancement.

Assist. Prof. Dr. Kifle Adula Duguma | Computational Methods | Best Researcher Award

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Assist. Prof. Dr. Kifle Adula Duguma | Computational Methods | Best Researcher Award

Assistant Professor at Addis Ababa Science and Technology University, Ethiopia

Assist. Prof. Dr. Kifle Adula Duguma is a distinguished academic in the field of Computational Methods, dedicated to advancing knowledge in computational fluid dynamics, applied mathematics, and numerical analysis. His work on Computational Methods spans theoretical research, practical applications, and interdisciplinary collaboration. In his professional journey, Dr. Duguma has integrated Computational Methods into both undergraduate and postgraduate education, guiding students in research and project work. His publications in high-impact journals consistently emphasize Computational Methods for solving complex fluid flow, heat transfer, and porous media problems. By applying Computational Methods to nanofluid dynamics, magnetohydrodynamics, and hybrid modeling, he has contributed valuable insights to modern engineering problems. His academic leadership also promotes Computational Methods as a cornerstone of innovative problem-solving.

Professional Profile

ORCID Profile | Google Scholar Profile

Education 

Assist. Prof. Dr. Kifle Adula Duguma has built his academic foundation through extensive studies in mathematics, numerical analysis, and computational fluid dynamics, always centered on Computational Methods. From undergraduate studies in mathematics to advanced doctoral research, Computational Methods formed the core of his learning. His doctoral thesis applied Computational Methods to complex flow and heat transfer problems, integrating theory with simulation. During his master’s degree, he refined his expertise in Computational Methods for solving nonlinear partial differential equations. Each academic stage strengthened his ability to innovate with Computational Methods, whether in finite element approaches, finite difference applications, or numerical modeling techniques. His training consistently reflects a deep engagement with Computational Methods, preparing him for impactful contributions in teaching and research.

Experience 

Assist. Prof. Dr. Kifle Adula Duguma has extensive professional experience applying Computational Methods in both teaching and research. As an assistant professor, he has taught courses in applied mathematics, computational fluid dynamics, and numerical analysis, always embedding Computational Methods in lectures, laboratories, and projects. His leadership roles, including heading the mathematics division, emphasized curriculum design with strong Computational Methods components. His research applies Computational Methods to nanofluid flows, magnetohydrodynamics, hybrid models, and porous media. He supervises student projects that rely on Computational Methods for simulation and optimization. Across his career, Dr. Duguma has demonstrated that Computational Methods are essential in solving complex engineering problems, from industrial applications to academic challenges, ensuring students and peers value Computational Methods in their work.

Research Interest 

Assist. Prof. Dr. Kifle Adula Duguma’s research interests revolve around the innovative application of Computational Methods in science and engineering. His primary focus areas include computational fluid dynamics, nanofluids, magnetohydrodynamics, electrohydrodynamics, and thermal transport phenomena, all driven by Computational Methods. He explores new algorithms, optimization techniques, and simulation strategies using Computational Methods for real-world problems. His studies in non-Newtonian fluids and hybrid nanofluids apply Computational Methods to enhance prediction accuracy and performance modeling. By integrating Computational Methods into multidisciplinary research, he addresses challenges in heat and mass transfer, stability analysis, and porous media flows. The consistent thread in his scholarly work is the advancement of Computational Methods as powerful tools for solving emerging engineering and scientific challenges worldwide.

Award and Honor

Assist. Prof. Dr. Kifle Adula Duguma’s academic achievements are closely linked to his pioneering contributions in Computational Methods. His recognition comes from publishing high-impact research where Computational Methods solve advanced engineering problems. Awards and honors highlight his leadership in integrating Computational Methods into both research and teaching. Serving as a journal reviewer, he evaluates work that applies Computational Methods across various domains. His leadership positions and contributions to academic communities are built upon advancing Computational Methods knowledge. These honors reflect not only technical expertise but also his ability to inspire others to apply Computational Methods in innovative ways. By consistently promoting Computational Methods, Dr. Duguma has earned respect as a leading figure in computational science and engineering.

Research Skill

Assist. Prof. Dr. Kifle Adula Duguma’s research skills are deeply rooted in Computational Methods, making him proficient in multiple numerical and analytical approaches. He expertly applies Computational Methods such as finite difference, finite element, finite volume, and Runge-Kutta techniques to model complex systems. His use of Computational Methods extends to software like MATLAB, Mathematica, Maple, and Python for simulation and analysis. He excels in data interpretation, algorithm development, and scientific computation, all grounded in Computational Methods. His capacity to integrate Computational Methods into experimental validation and theoretical frameworks strengthens his research output. Whether in teaching, mentoring, or publication, his skill set ensures Computational Methods remain central to his work and to the advancement of modern engineering practices globally.

Publication Top Notes

Title: Stability analysis of dual solutions of convective flow of casson nanofluid past a shrinking/stretching slippery sheet with thermophoresis and brownian motion in porous media

Authors: KA Duguma, OD Makinde, LG Enyadene

Journal: Journal of Mathematics

Title: Dual Solutions and Stability Analysis of Cu-H2O-Casson Nanofluid Convection past a Heated Stretching/Shrinking Slippery Sheet in a Porous Medium

Authors: KA Duguma, OD Makinde, LG Enyadene

Journal: Computational and Mathematical Methods

Title: Stagnation Point Flow of CoFe2O4/TiO2-H2O-Casson Nanofluid past a Slippery Stretching/Shrinking Cylindrical Surface in a Darcy–Forchheimer Porous Medium

Authors: KA Duguma, OD Makinde, LG Enyadene

Journal: Journal of Engineering

Title: Effects of buoyancy on radiative MHD mixed convective flow of casson nanofluid across a preamble slippery sheet in Darcy–Forchheimer porous medium: Shrinking/stretching surface …

Authors: KA Duguma

Journal: Numerical Heat Transfer, Part B: Fundamentals

Title: Stability Analysis of Dual Solutions of Convective Flow of Casson Nanofluid past a Shrinking/Stretching Slippery Sheet with Thermophoresis and Brownian Motion …

Authors: KA Duguma, OD Makinde, LG Enyadene

Journal: Journal of Mathematics

Conclusion

In conclusion, Assist. Prof. Dr. Kifle Adula Duguma’s career reflects unwavering dedication to Computational Methods in education, research, and professional service. His expertise ensures Computational Methods are applied rigorously across scientific domains, from computational fluid dynamics to nanotechnology. Through teaching, supervision, and publication, he promotes the strategic use of Computational Methods to solve critical engineering problems. His leadership in academic and research settings consistently elevates the role of Computational Methods as indispensable tools in modern science. By advancing Computational Methods methodologies, fostering innovation, and inspiring students, he has established a legacy that underscores the transformative power of Computational Methods in solving global scientific and technological challenges.