Assist. Prof. Dr. Vladimir A. Pakhotin | Physics and Astronomy | Best Researcher Award

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Assist. Prof. Dr. Vladimir A. Pakhotin | Physics and Astronomy | Best Researcher Award

Senior Research Scientist | Ioffe Institute | Russia

Assist. Prof. Dr. Vladimir A. Pakhotin has made significant contributions to the interdisciplinary field of Physics and Astronomy, advancing research in electron emission and the electro-physical properties of polymers. His extensive background in Physics and Astronomy from the Saint-Petersburg State Polytechnic University and the Ioffe Institute laid the foundation for his innovative studies in the emission of charged particles and electrical breakdown phenomena. Throughout his professional journey as a Senior Researcher at the Strength Physics Laboratory, he has exemplified excellence in experimental Physics and Astronomy, merging theoretical insight with practical investigation. His research interest in Physics and Astronomy focuses on understanding the structural behavior of materials under varying electromagnetic conditions, contributing valuable data to polymer physics and electronic material design. Recognized for his prolific scholarly output, with over 150 publications, he stands as a respected figure in Physics and Astronomy. His awards and honors highlight his dedication to advancing material science and Physics and Astronomy innovation. His research skills encompass advanced instrumentation, emission analysis, and material characterization techniques that enhance discoveries in Physics and Astronomy. In conclusion, Assist. Prof. Dr. Vladimir A. Pakhotin’s lifelong pursuit of knowledge continues to inspire new generations of scientists, reinforcing the global impact of Physics and Astronomy research. His Scopus profile of 125 Citations, 28 Documents, 7 h-index.

Profiles: Scopus | ORCID

Featured Publications

1. Pakhotin, V. A., Semenov, S. E., & Sudar, N. T. (2025). Increasing the lifetime of polymer dielectrics in an AC field by using phosphorescent dopants: Theoretical justifications and numerical simulation. Journal of Applied Physics.

2. Pakhotin, V. A., & Semenov, S. E. (2024). Redistribution of electric field strength in insulation using electrets. IEEE Transactions on Dielectrics and Electrical Insulation.

3. Semenov, S. E., Sudar, N. T., & Pakhotin, V. A. (2024, October 17). Pulse electrical strength of polymer dielectric films. 2024 International Conference on Electrical Engineering and Photonics (EExPolytech).

4. Pakhotin, V. A., & Semenov, S. E. (2024, September 28). Charge stabilization in corona electrets made of HDPE film due to the formation of deep electron traps during its orientational stretching. Journal of Applied Physics.

5. Tipikin, A. A., Pakhotin, V. A., & Potapov, D. S. (2024, July 3). Technique for automatic profiling of underlying surface electric parameters on the very low frequencies radio path. Proceedings of Telecommunication Universities.

Prof. Nikolai V. Gaponenko | Physics | Best Researcher Award

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Prof. Nikolai V. Gaponenko | Physics | Best Researcher Award

Professor | Belarusian State University of Informatics and Radioelectronics  | Belarus

Prof. Nikolai V. Gaponenko, a distinguished figure in physics, serves as Head of the Laboratory of Nanophotonics at the Belarusian State University of Informatics and Radioelectronics, where his extensive contributions to solid-state physics and nanophotonics have gained international recognition. His education in physics laid a robust foundation for pioneering research in optically anisotropic materials and sol-gel synthesis within the physics of photonic band gap structures. Throughout his professional experience, Prof. Gaponenko has led numerous interdisciplinary physics collaborations with global institutes, advancing luminescence technologies and nanostructure fabrication. His physics research encompasses photonic crystals, perovskite nanocomposites, and upconversion luminescence phenomena, with over a hundred high-impact publications and patents that redefine the role of physics in material design. Honored with several research distinctions, he has strengthened Belarus’s scientific presence through innovative physics-based solutions for electronic and photonic applications. His exceptional physics skills include experimental synthesis, spectroscopic analysis, and photonic modeling that bridge theory and engineering in nanophotonics. As an educator and physicist, he integrates practical and theoretical physics with creativity and leadership, inspiring scientific excellence. Prof. Nikolai V. Gaponenko’s career embodies the transformative potential of physics in shaping sustainable technological progress through deep insight, research integrity, and global collaboration.

Profiles: Google Scholar | ORCID

Featured Publications

1. Bogomolov, V. N., Gaponenko, S. V., Germanenko, I. N., Kapitonov, A. M., et al. (1997). Photonic band gap phenomenon and optical properties of artificial opals. Physical Review E, 55(6), 7619.

2. Dorofeev, A. M., Gaponenko, N. V., Bondarenko, V. P., Bachilo, E. E., Kazuchits, N. M., et al. (1995). Erbium luminescence in porous silicon doped from spin‐on films. Journal of Applied Physics, 77(6), 2679–2683.

3. Gaponenko, N. V., Davidson, J. A., Hamilton, B., Skeldon, P., Thompson, G. E., et al. (2000). Strongly enhanced Tb luminescence from titania xerogel solids mesoscopically confined in porous anodic alumina. Applied Physics Letters, 76(8), 1006–1008.

4. Lutich, A. A., Gaponenko, S. V., Gaponenko, N. V., Molchan, I. S., Sokol, V. A., et al. (2004). Anisotropic light scattering in nanoporous materials: A photon density of states effect. Nano Letters, 4(9), 1755–1758.

5. Gaponenko, N. V. (2001). Sol–gel derived films in meso-porous matrices: porous silicon, anodic aluminum and artificial opals. Synthetic Metals, 124(1), 125–130.

Assist. Prof. Dr. Reem Abdullah Sadan Aljethi | Differentiation equation | Best Researcher Award

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Assist. Prof. Dr. Reem Abdullah Sadan Aljethi | Differentiation equation | Best Researcher Award

Associate Professor | Imam Mohammad Ibn Saud Islamic University | Saudi Arabia

Assist. Prof. Dr. Reem Abdullah Sadan Aljethi is an accomplished scholar in Applied Mathematics whose expertise lies prominently in the study and advancement of Differentiation Equation systems. Her academic journey, including a Doctor of Philosophy from Universiti Putra Malaysia and earlier degrees from King Saud University, shaped her deep engagement with Differentiation Equation models and fractional calculus. With professional experience as a Lecturer, Vice Dean, and currently an Associate Professor at Imam Mohammad Ibn Saud Islamic University, she has significantly contributed to teaching, research, and academic administration. Her research explores fractional Differentiation Equation formulations, Lévy stochastic processes, and applications in financial and physical systems. Her Q1-ranked publications in journals like Mathematics and Chaos, Solitons & Fractals highlight her command of complex Differentiation Equation frameworks. Recognized through her participation in international conferences and leadership programs, she exhibits strong analytical and computational skills, particularly in MATLAB and mathematical modeling. Her dedication to the Differentiation Equation field continues to influence emerging studies in nonlinear systems, fractional models, and applied mathematics. Overall, Assist. Prof. Dr. Reem Abdullah Sadan Aljethi’s scholarly path exemplifies excellence, innovation, and leadership in the global study of Differentiation Equation research and its expanding interdisciplinary applications.

Profiles: Google Scholar | ORCID

Featured Publications

1. Aljethi, R. A., & Kılıçman, A. (2022). Financial applications on fractional Lévy stochastic processes. Fractal and Fractional, 6(5), 278.

2. Aljethi, R. A., & Kılıçman, A. (2023). Analysis of fractional differential equation and its application to realistic data. Chaos, Solitons & Fractals, 171, 113446.

3. Aljethi, R. A., & Kılıçman, A. (2023). Derivation of the fractional Fokker–Planck equation for stable Lévy with financial applications. Mathematics, 11(5), 1102.

4. Aljedhi, R. A., & Kılıçman, A. (2020). Fractional partial differential equations associated with Lévy stable process. Mathematics, 8(4), 508.

5. Ejaz Hussain, U. Y., Aljethi, R. A., & Farooq, K. (2025). Optical multi-peakon dynamics in the fractional cubic–quintic nonlinear pulse propagation model using a novel integral approach. Fractal and Fractional, 9(10), 631.

Prof. Wenlong Song | Engineering | Best Scholar Award

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Prof. Wenlong Song | Engineering | Best Scholar Award

Associate Professor | Jining University | China

Prof. Wenlong Song, a distinguished figure in the field of Engineering, has made significant contributions to Mechanical Design, Manufacturing, and Automation. He earned his doctoral degree from Shandong University and serves as an Associate Professor and Graduate Supervisor at the School of Mechanical and Electrical Engineering, Jining University. His Engineering expertise focuses on efficient machining processes and advanced tool technology, where he has played a key role in leading multiple Engineering research initiatives. Prof. Song has successfully hosted several provincial, ministerial, and industrial Engineering projects, which have substantially advanced technological applications in precision machining and automation systems. His Engineering research has resulted in more than fifty academic publications and over forty authorized invention patents, reflecting his strong innovation capabilities and leadership in Engineering development. Recognized for his excellence, he has received multiple municipal and higher-level awards for his Engineering achievements. Prof. Song’s Engineering research skills encompass precision design, material optimization, process modeling, and manufacturing automation. His continued dedication to Engineering education and research demonstrates his commitment to nurturing the next generation of Engineering scholars while expanding the boundaries of modern mechanical systems. Through his extensive Engineering background and innovative approach, Prof. Wenlong Song stands out as a leading expert whose work continues to impact the Engineering community globally. 346 Citations, 33 Documents, 11 h-index.

Profiles: Scopus | Google Scholar

Featured Publications

1. (2025). Analytical and experimental investigation of vibration response for the cracked fluid-filled thin cylindrical shell under transport condition. Applied Mathematical Modelling.

2. (2025). Friction behavior of molybdenum disulfide/polytetrafluoroethylene-coated cemented carbide fabricated with a spray technique in dry friction conditions. Coatings.

3. (2024). Fabrication and tribology properties of PTFE-coated cemented carbide under dry friction conditions. Lubricants.

Yuyao Wang | Artificial Intelligence | Best Scholar Award

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Mr. Yuyao Wang | Artificial Intelligence | Best Scholar Award

Master's Candidate | Henan Polytechnic University | China

Mr. Yuyao Wang, a Master’s candidate in Cartography and Geographic Information Systems at Henan Polytechnic University, has made significant contributions to remote sensing and artificial intelligence integration for agricultural and environmental monitoring. His research primarily focuses on remote sensing image processing, land use classification, and artificial intelligence-driven multi-source data fusion. With strong expertise in applying artificial intelligence to satellite data interpretation, Mr. Wang has developed novel frameworks for rice field identification in mountainous regions and cloud removal techniques using SAR and optical imagery fusion. His innovative use of artificial intelligence in remote sensing enhances precision agriculture and sustainable land management practices. Mr. Wang’s professional journey reflects his commitment to applying artificial intelligence and geospatial analytics to complex real-world challenges. His works published in prestigious journals like Remote Sensing and PLOS ONE demonstrate robust analytical skills, methodological innovation, and interdisciplinary thinking powered by artificial intelligence. He continues to explore advanced artificial intelligence techniques for improving data accuracy and environmental insights, bridging gaps between technology and agricultural sciences. Mr. Wang’s achievements highlight excellence in artificial intelligence research, demonstrating potential for transformative advancements in geoinformatics and environmental sustainability. His dedication, scientific curiosity, and mastery of artificial intelligence tools reinforce his reputation as a promising researcher in remote sensing and GIS. 12 Citations, 3 Documents, 2 h-index.

Profiles: Scopus | ORCID

Featured Publications

1. Wang, Y., Cheng, J., Yuan, Z., & Zang, W. (2025). Research on rice field identification methods in mountainous regions. Remote Sensing, 17(19), 3356.

2. Wang, Y. (2025, March 19). A novel cloud removal method by fusing features from SAR and neighboring optical remote sensing images.

Assist. Prof. Dr. Milad Abdelnabi Salem | Social Sciences | Best Researcher Award

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Assist. Prof. Dr. Milad Abdelnabi Salem | Social Sciences | Best Researcher Award

Assistant Professor | Community College of Qatar | Qatar

Assist. Prof. Dr. Milad Abdelnabi Salem is a distinguished academic in the field of management and logistics, whose contributions to Social Sciences reflect a profound commitment to research excellence and educational development. His academic journey encompasses a Ph.D. in Operations Management, a Master’s in Management and Organisation, and a Bachelor’s in Business Management, which collectively underpin his extensive engagement with Social Sciences. Currently serving as an Assistant Professor at the Community College of Qatar, he has previously held academic and managerial positions across Malaysia and Libya, demonstrating his expertise in teaching and curriculum development within Social Sciences. His research interests span Supply Chain Management, Total Quality Management, Environmental Sciences, Human Resource Management, and Operations Management, each deeply interlinked with Social Sciences. Recognized with numerous awards, including the Outstanding Lecturer Award and a Fellowship from the Australian Academy of Business Leadership, his academic influence extends internationally. Assist. Prof. Dr. Milad’s research skills include advanced data analysis using SPSS and SEM, e-learning applications, and quantitative methodologies — essential competencies in the Social Sciences. His publications in peer-reviewed and Scopus-indexed journals highlight his commitment to integrating sustainability, competitiveness, and ethical leadership within organizational frameworks. In conclusion, Assist. Prof. Dr. Milad Abdelnabi Salem exemplifies excellence in Social Sciences through his scholarly achievements, research leadership, and dedication to developing innovative approaches that enhance global understanding and practical applications of management within the broader context of Social Sciences.

Profile: Google Scholar

Featured Publications

1. Basha, M. B., Mason, C., Shamsudin, M. F., Hussain, H. I., & Salem, M. A. (2015). Consumers attitude towards organic food. Procedia Economics and Finance, 31, 444–452.

2. Salem, M. A., Hasnan, N., & Osman, N. H. (2012). Balanced scorecard: Weaknesses, strengths, and its ability as performance management system versus other performance management systems. Journal of Environment and Earth Science, 2(2), 1–10.

3. Salem, M. A., Shawtari, F., Shamsudin, M. F., & Hussain, H. B. I. (2018). The consequences of integrating stakeholder engagement in sustainable development (environmental perspectives). Sustainable Development, 26(3), 255–268.

4. Salem, M. A., Shawtari, F. A., Shamsudin, M. F., & Hussain, H. I. (2016). The relation between stakeholders’ integration and environmental competitiveness. Social Responsibility Journal, 12(4), 755–769.

5. Shawtari, F. A., Salem, M. A., & Bakhit, I. (2018). Decomposition of efficiency using DEA window analysis: A comparative evidence from Islamic and conventional banks. Benchmarking: An International Journal, 25(6), 1681–1705.

Dr. M. Ramamurthy | Experimental Methods | Best Researcher Award

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Dr. M. Ramamurthy | Experimental Methods | Best Researcher Award

Assistant Professor | AMET University | India

Dr. M. Ramamurthy is a highly accomplished academician and researcher with extensive experience in Experimental Methods applied to mechanical and manufacturing engineering. His professional journey spans across several reputed engineering institutions, where he has contributed to Experimental Methods in teaching, research, and curriculum design. Holding a Ph.D. from Anna University with a focus on friction stir welding, Dr. M. Ramamurthy has published multiple papers in international journals emphasizing Experimental Methods for optimizing welding parameters, material characterization, and process analysis. His expertise extends to Experimental Methods in advanced materials, composite fabrication, and surface modification, reflecting a strong grasp of both theoretical and practical domains. He has participated in numerous conferences and workshops, showcasing his innovative applications of Experimental Methods in materials science and production engineering. Recognized for his contributions, he holds patents and authored book chapters on Experimental Methods for sustainable material development. His professional affiliations include ISTE, IAENG, and PMAI, demonstrating his commitment to continuous learning and collaboration. His research skills encompass Experimental Methods involving friction stir processes, multi-objective optimization, and mechanical testing. Dr. M. Ramamurthy’s awards and honors reflect his dedication to innovation and knowledge dissemination in Experimental Methods. With a balanced blend of academic and industrial exposure, he consistently integrates Experimental Methods into education, research, and technology development. In conclusion, Dr. M. Ramamurthy’s distinguished career exemplifies excellence in Experimental Methods, advancing engineering practices and inspiring future researchers.

Profiles: Google Scholar | ORCID

Featured Publications

1. Ramamurthy, M., Balasubramanian, P., Senthilkumar, N., & G. (2022). Influence of process parameters on the microstructure and mechanical properties of friction stir welds of AA2014 and AA6063 aluminium alloys using response surface methodology. Materials Research Express, 9, 70.

2. Senthilkumar, N., Thanikasalam, A., Stalin, K., Ramamurthy, M., & Lazar, P. (2024). Mechanical characterization of epoxy-nanoclay-kenaf fiber polymer composites. International Conference on Advanced Materials Manufacturing and Structures.

3. Ramamurthy, M., & Balasubramanian, P. (2022). Parametric optimization in friction stir joining of AA2014 and AA6061 alloys through entropy based multiobjective GRA approach. Materials Today: Proceedings, 59, 1249–1255.

4. Ramamurthy, M., Vasanthkumar, N. P., Perumal, G., & Senthilkumar, N. (2025). Formulation and features of chitosan and natural fiber blended bio-composite towards environmental sustainability. Journal of Environmental Nanotechnology, 14(1), 104–112.

5. Senthilkumar, N., Thanikasalam, A., Stalin, K., Ramamurthy, M., & Lazar, P. (2024). Thermal studies on palm fibre and rice husk ash-reinforced epoxy resin composite. International Conference on Advanced Materials Manufacturing and Structures.

Dr. Kammogne Djoum Nana Anicet | Physics and Astronomy | Best Researcher Award

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Dr. Kammogne Djoum Nana Anicet | Physics and Astronomy | Best Researcher Award

Assistant Lecturer | African Institute of Mathematical Sciences | Cameroon

Dr. Kammogne Djoum Nana Anicet is a distinguished scholar in Physics and Astronomy whose academic and research journey reflects deep expertise in theoretical condensed matter physics. Having earned his Ph.D. with highest distinction from the University of Dschang, his work in Physics and Astronomy encompasses teaching, research, and numerous publications in top journals such as Physics Letters A and Chinese Journal of Physics. His professional experience includes roles as a teaching assistant at AIMS Cameroon and lecturer at the University of Dschang, where he taught electromagnetism, electrostatics, quantum physics, and solid-state physics—core pillars of Physics and Astronomy. Dr. Kammogne’s research explores quantum transitions, level-crossing phenomena, and spontaneous emission models, all vital areas in modern Physics and Astronomy. His outstanding performance has earned him multiple awards, including Best Researcher recognitions from ScienceFather, Scifat, and WorldTopScientists, along with a Presidential Award for Excellence. His skills in Mathematica, Python, LaTeX, and computational tools like Qutip enhance his research capabilities in Physics and Astronomy. With active participation in international conferences and collaborations, Dr. Kammogne continues to contribute innovative insights to the global Physics and Astronomy community. His dedication, technical proficiency, and analytical acumen define him as a leading researcher advancing frontiers in Physics and Astronomy, where his commitment to knowledge and excellence embodies the essence of scientific achievement and innovation in this dynamic field.

Profiles: Google Scholar | ORCID

Featured Publications

1. Kammogne, A. D., Kenmoe, M. B., & Fai, L. C. (2022). Statistics of interferograms in three-level systems. Physics Letters A, 425, 127872.

2. Kammogne, A. D., Issofa, N., & Fai, L. C. (2024). Non-resonant exponential Nikitin models with decay. Chinese Journal of Physics.

3. Kammogne, A. D., & Fai, L. C. (2025). Spontaneous emission in an exponential model. Chinese Journal of Physics.

4. Tchapda, A. B., Kenmoe, M. B., & Fai, L. C. (2017). Landau-Zener transitions in a qubit/qutrit periodically driven in both longitudinal and transverse directions. arXiv preprint arXiv:1708.04184.

5. Kammogne, A. D. (2025). Effect of spontaneous emission on a tanh model. Chinese Journal of Physics.

Dr. Aman Bhatia | Plasma Physics | Best Researcher Award

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Dr. Aman Bhatia | Plasma Physics | Best Researcher Award

Postdoctoral Fellow | Institute for Plasma Research | India

Dr. Aman Bhatia, a distinguished researcher in Plasma Physics, has demonstrated outstanding contributions to the field through her extensive work on laser–plasma interactions, nonlinear optics, and theoretical plasma modeling. With a Doctorate in Plasma Physics from Dr. B. R. Ambedkar national institute of technology, jalandhar, Her currently serves as a postdoctoral fellow at the institute for plasma research, ahmedabad. Her Plasma Physics expertise is reflected in numerous publications across reputed journals like Physics of Plasmas, Optik, and The European Physical Journal Plus. Dr. Bhatia’s professional experience encompasses both teaching and advanced computational research, with proficiency in Plasma Physics simulation tools such as SMILEI, MATLAB, Mathematica, and Python. Her active engagement in international conferences and workshops, including ICTP–IAEA Fusion Energy Schools, has further deepened her understanding of Plasma Physics phenomena and their applications. Recognized for her excellence, Her has received several prestigious awards, including Best Poster Presentation honors and an Outstanding Research Award from NIT Jalandhar. Her research interests lie in nonlinear wave propagation, second harmonic generation, and terahertz radiation in Plasma Physics systems. With exceptional research skills in analytical modeling, computational simulations, and laser–plasma coupling studies, Dr. Bhatia continues to advance the boundaries of Plasma Physics with innovative theoretical insights and practical relevance. Her dedication, scholarly rigor, and academic achievements mark him as a rising figure in modern Plasma Physics. 64 Citations, 9 Documents, 5 h-index.

Profiles: Scopus | Google Scholar

Featured Publications

1. Bhatia, A., Walia, K., & Singh, A. (2021). Influence of self-focused Laguerre–Gaussian laser beam on second harmonic generation in collisionless plasma having density transition. Optik, 245, 167747.

2. Bhatia, A., Walia, K., & Singh, A. (2021). Second harmonic generation of intense Laguerre–Gaussian beam in relativistic plasma having an exponential density transition. Optik, 244, 167608.

3. Bhatia, A., Walia, K., & Singh, A. (2022). Laguerre–Gaussian laser beam guiding and its second harmonics in plasma having density ramp. Physics of Plasmas, 29(9).

4. Kad, P., Choudhary, R., Bhatia, A., Walia, K., & Singh, A. (2022). Study of two cross focused Bessel–Gaussian laser beams on electron acceleration in relativistic regime. Optik, 271, 170117.

5. Bhatia, A., Jangir, N., Kad, P., Walia, K., & Singh, A. (2022). Second harmonic generation of zeroth-order Bessel–Gaussian laser beam in collisionless plasma. Optik, 269, 169867.

Dr. Bin Song | Experimental Methods | Best Researcher Award

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Dr. Bin Song | Experimental Methods | Best Researcher Award

Associate Professor | Southwest Petroleum University | China

Dr. Bin Song, an accomplished scholar in Experimental Methods, holds a Doctor of Engineering and serves as an Associate Researcher and Master’s Supervisor at Southwest Petroleum University. His work in Experimental Methods has greatly advanced gas safety and integrity assessment, hydrogen storage and transportation, and efficient utilization processes. Through his innovative use of Experimental Methods, he has produced over twenty high-level publications, sixteen of which are SCI-indexed, demonstrating his consistent excellence in research dissemination. His involvement in Experimental Methods also extends to securing four national invention patents, one of which achieved successful technological transformation, showcasing his strong applied research capabilities. Furthermore, he has contributed to the compilation of two industry and township standards, reinforcing the practical impact of his Experimental Methods-based investigations. His recognition in the scientific community stems from his ability to integrate Experimental Methods with engineering innovation, improving safety, performance, and sustainability in petroleum and hydrogen systems. His analytical expertise, technical precision, and interdisciplinary collaboration highlight his strong research skills and commitment to advancing Experimental Methods for industrial and academic excellence. Dr. Bin Song continues to inspire future researchers through his dedication to innovation, knowledge transfer, and technological development in Experimental Methods-driven research. 207 Citations, 18 Documents, 7 h-index.

Profile: Scopus

Featured Publication

1. Novel method for optimizing emergency response facility layouts in gas pipeline networks. (2025). Journal of Pipeline Systems Engineering and Practice.