David Raju Thommandru | Mathematical Modeling | Mathematical Modeling Breakthrough Award

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Dr. David Raju Thommandru | Mathematical Modeling | Mathematical Modeling Breakthrough Award

Research scholar | VIT-AP University | India

Dr. T. David Raju is an Assistant Professor of Mathematics at R.K. College of Engineering & Technology, Kethanakonda, with over 15 years of academic experience. His research focuses on mathematical modeling, nonlinear dynamics, and ecological systems, particularly analyzing tipping points and time delays in complex biological interactions. His work bridges applied mathematics with ecology, contributing valuable insights into predator–prey dynamics under environmental stress. With a strong academic background (M.Phil., M.Sc., M.Ed.) and a Silver Medal from Andhra University, he combines teaching excellence with impactful research in applied nonlinear systems.

Profile: Scopus

Featured Publications

  1. T. David Raju (2025). Uncovering ecological thresholds: Effects of external stress driven tipping point and delay in predator–prey system. Chaos, Solitons & Fractals (Open Access).

 

 

 

Ilhem Kadri | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Ilhem Kadri | Applied Mathematics | Best Researcher Award

Associate Professor | University of Oran 1 – Ahmed Ben Bella | Algeria

Dr. Ilhem Kadri is an Associate Professor of Applied Mathematics at the University of Oran 1, Algeria, specializing in fractional calculus, nonlinear partial differential equations, and computational mathematics. She earned her Ph.D. in Applied Mathematics from the University of Jordan, following her master’s and bachelor’s degrees in mathematics from the University of Oran 1 Ahmed Ben Bella. Dr. Kadri’s academic and research trajectory reflects a deep commitment to advancing the analytical and numerical treatment of fractional and conformable differential equations, as well as exploring chaotic and nonlinear dynamical systems. Her scholarly contributions include numerous research articles in internationally recognized journals, such as the European Journal of Pure and Applied Mathematics, Mathematics, and Results in Nonlinear Analysis, where she has developed novel analytical and numerical frameworks including the Laplace Transform Decomposition Method, the Conformable Fractional Laplace Transform Method, and applications of fractional Fourier series and tensor product techniques. She has presented her work at several prestigious international conferences and symposia across Europe, Asia, and Africa, contributing to global dialogues on applied and computational mathematics. Dr. Kadri is also actively engaged in academic collaboration, scientific workshops, and professional development activities focused on enhancing research impact and innovation in mathematical sciences. Her expertise and scholarly output reflect a strong foundation in both theoretical and applied aspects of mathematics, positioning her as an influential contributor to the field of fractional calculus and nonlinear analysis.10 Citations, 4 Documents, 2 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Kadri, I.*, Al-Horani, M., & Khalil, R. (2022). Solution of non-linear fractional Burger’s type equations using the Laplace transform decomposition method. Results in Nonlinear Analysis, 5(2), 131–150. Citations: 12.

2. Kadri, I.*, Al Horani, M., & Khalil, R. (2023). Solution of fractional Laplace type equation in conformable sense using fractional Fourier series with separation of variables technique. Results in Nonlinear Analysis, 6(2), 53–59. Citations: 10.

3. Kadri, I.*, Horani, M., & Khalil, R. (2020). Tensor product technique and fractional differential equations. Journal of Semigroup Theory and Applications, Article ID 6. Citations: 5.

4. Ahmed, A. I., Elbadri, M., Alotaibi, A. M., Ashmaig, M. A. M., Dafaalla, M. E., & Kadri, I.* (2025). Chaos and dynamic behavior of the 4D hyperchaotic Chen system via variable-order fractional derivatives. Mathematics, 13(20), 3240.

5. Kadri, I.*, Saadeh, R. S., AlMutairi, D. M., Dafaalla, M. E., Berir, M., & Abdoon, M. A. (2025). Analytical and numerical investigation of a fractional order 4D chaotic system via Caputo fractional derivative. European Journal of Pure and Applied Mathematics, 18(3).

Seyed Abolfazl Hosseini | Communication Systems | Best Researcher Award

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Dr. Seyed Abolfazl Hosseini | Communication Systems | Best Researcher Award

Faculty member | Islamic Azad University | Iran

Dr. Seyed Abolfazl Hosseini is a distinguished faculty member in the Department of Electrical Engineering at Islamic Azad University, Tehran, Iran, specializing in Communication Systems Engineering and Computer Science. He holds a Ph.D. and M.Sc. in Electrical Engineering (Communications Systems Engineering) from Tarbiat Modares University and K.N. Toosi University of Technology, respectively, and a B.Sc. in Control Engineering from Sharif University of Technology. Over his academic career, Dr. Hosseini has served in several leadership capacities, including Dean of the Electrical and Electronics Research Centre, Dean of the Engineering Faculty, and Director of the Department of Communications Engineering. His professional experience extends beyond academia, having served as CEO of Pars Kelend Co., where he managed projects in electronic surveillance, IoT, AI, and network services, and as an expert engineer at the Tehran Traffic Control Company, where he developed remote toll systems and air quality detection methods using image processing. His research primarily focuses on hyperspectral image analysis, digital signal and image processing, machine learning, cryptography, and MIMO communication systems. Dr. Hosseini has authored numerous high-impact publications in leading journals such as IEEE Access, Earth Science Informatics, and Remote Sensing Letters, contributing novel methods in feature reduction, watermarking, and energy-efficient communications. His technical expertise spans rational function approximation, fractal theory, and advanced machine learning algorithms applied to remote sensing and data compression. A dedicated educator and mentor, he has supervised many M.Sc. and Ph.D. candidates and actively participated in developing technical standards and research-driven industrial collaborations. Through his integrated contributions to academia, research, and technology innovation, Dr. Hosseini continues to advance modern communication and computational systems.11 Citations, 3 Documents, 2 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Hosseini, S. A.*, & Ghassemian, H. (2016). Rational function approximation for feature reduction in hyperspectral data. Remote Sensing Letters, 7(2), 101–110. Citations: 42.

2. Hosseini, S. A.*, & Ghassemian, H. (2015). Hyperspectral data feature extraction using rational function curve fitting. International Journal of Pattern Recognition and Artificial Intelligence. Citations: 23.

3. Hosseini, S. A.*, & Ghassemian, H. (2013). A new hyperspectral image classification approach using fractal dimension of spectral response curve. Proceedings of the Iranian Conference on Electrical Engineering (ICEE). Citations: 17.

4. Hosseini, A., & Ghassemian, H. (2012). Classification of hyperspectral and multispectral images by using fractal dimension of spectral response curve. 20th Iranian Conference on Electrical Engineering (ICEE), 1452–1457. Citations: 19.

5. Beitollahi, M., & Hosseini, S. A.* (2018). Using Savitsky–Golay smoothing filter in hyperspectral data compression by curve fitting. Proceedings of the Iranian Conference on Electrical Engineering (ICEE). Citations: 15.

Milad Samady Shadlu | Signal Processing | Best Researcher Award

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Dr. Milad Samady Shadlu | Signal Processing | Best Researcher Award

Senior Researcher | Islamic Azad University | Iran

Dr. Milad Samady Shadlu is a distinguished lecturer at the University of Applied Science and Technology of Iran, specializing in Power Electronics, Renewable Energy Systems, and Control Engineering. He holds a Ph.D. in Electrical Engineering with a focus on Power Systems and Converters. Dr. Shadlu’s expertise spans the design, modeling, and control of high-power converters and inverters, multilevel converter systems, renewable energy integration, and maximum power point tracking (MPPT) methods for photovoltaic applications. With a strong academic foundation in control strategies and optimization methods, he has led and collaborated on numerous research projects focused on enhancing power system stability, harmonic mitigation, and fault diagnosis in renewable and grid-connected systems. Dr. Shadlu’s research portfolio comprises over twenty-four publications in reputed journals and international conferences, including notable works on MPPT algorithms, model predictive control, and fault analysis in modular multilevel converters and HVDC systems. He has authored and translated several books in the fields of energy storage, converter technology, and solar power generation, reflecting his commitment to academic knowledge dissemination. As an educator, he has taught a wide range of courses in electrical and control engineering and was honored as the Best Lecturer by the University of Applied Science and Technology of North Khorasan. His recognitions include the Best Researcher Award from the Young Researchers and Elite Club of North Khorasan Province. Dr. Shadlu’s current research focuses on fault detection in modular multilevel converters, hybrid control strategies combining extremum seeking and model predictive control methods for PV systems, and advanced control mechanisms for microgrids and active filters. With a robust record of scholarly output, including highly cited works on power converter control and renewable energy applications, Dr. Milad Samady Shadlu stands as an influential figure in modern power electronics research. 133 Citations, 24 Documents, 6 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Fatemi, S. M., Shadlu, M. S.*, & Talebkhah, A. (2019). Comparison of three-point P&O and hill climbing methods for maximum power point tracking in PV systems. Proceedings of the 10th International Power Electronics, Drive Systems and Technologies Conference (PEDSTC), IEEE. Citations: 33.

2. Shadlu, M. S.* (2019). Comparison of maximum power point tracking (MPPT) algorithms to control DC-DC converters in photovoltaic systems. Recent Advances in Electrical & Electronic Engineering, 12(4), 355–368. Citations: 19.

3. Shadlu, M. S.* (2018). A comparative study between two MPPT algorithms for photovoltaic energy conversion system based on modular multilevel converter. Proceedings of the Iranian Conference on Electrical Engineering (ICEE), IEEE. Citations: 16.

4. Talebkhah, A., Shadlu, M. S.*, & Fatemi, S. M. (2019). Control strategy of a single-phase active power filter with adjustable DC link capacitor voltage for THD reduction in non-linear loads. Proceedings of the 10th International Power Electronics, Drive Systems and Technologies Conference (PEDSTC), IEEE. Citations: 14.

5. Shadlu, M. S.* (2017). Fault detection and diagnosis in voltage source inverters using principal component analysis. Proceedings of the 4th IEEE International Conference on Knowledge-Based Engineering and Innovation (KBEI). Citations: 14.

Jan Iwaszkiewicz | Control of converters | Innovative Research Award

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Assoc. Prof. Dr. Jan Iwaszkiewicz | Control of converters | Innovative Research Award

Professor | Gdynia Maritime University | Poland

Professor Jan Iwaszkiewicz is a distinguished scholar in power electronics and automation, currently serving as Professor at the Faculty of Electrical Engineering, Department of Ship Automation, Gdynia Maritime University, Poland. He holds an M.Sc. in Electronics from the Technical University of Gdansk and both Ph.D. and Doctor of Science degrees in Power Electronics from the Electrotechnical Institute (IEL) in Warsaw. Throughout his prolific career, he has held key academic and leadership positions, including Assistant Master and later Director at the IEL Gdansk Branch, Senior Researcher, and Head of the Ship Automation Department at Gdynia Maritime University. His research expertise lies in power electronics, multilevel and voltage source inverters, converter modeling, and advanced control algorithms. Deeply interested in the mathematical foundations of converter theory, Professor Iwaszkiewicz has developed analytical and recursive models that bridge theoretical mathematics with practical engineering applications. He has made pioneering contributions to orthogonal vector theory in inverter control, recursive control using orthogonal vectors, and the application of Haar wavelets in cascade inverter control. His extensive body of work comprises more than 130 publications and five patents, with highly cited papers addressing multilevel inverter topology, predictive control algorithms, and harmonic distortion optimization. He has led numerous national and international research projects and has been instrumental in mentoring researchers in the field of mathematical modeling of power converters. Professor Iwaszkiewicz is a member of the Polish Electricians Association (SEP) and the Power Electronics Committee of the Polish Committee of Standardization (PKN), and a former member of the IEEE. His scholarly contributions reflect a lifelong pursuit of integrating rigorous mathematical analysis with cutting-edge engineering practice, establishing him as a leading figure in the field of power electronics. 125 Citations, 42 Documents, 6 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Iwaszkiewicz J.*, Hashad M., “A novel orthogonal-vectors-based topology of multilevel inverters.” IEEE Transactions on Industrial Electronics, 2002, 49(4), Citations: 41.

2. Iwaszkiewicz J.*, Perz J., “Mathematical approach to THD optimization in multilevel convertors.” International Conference on Renewable Energy and Power Quality (ICREPQ), 2006, Paper 6. Citations: 9.

3. Iwaszkiewicz J.*, Perz J., “Fourier series and wavelet transform applied to stepped waveform synthesis in multilevel convertors.” Proceedings of the Institute of Electrical Engineering, 2006, 59–74. Citations: 9.

4. Iwaszkiewicz J.*, Perz J., “Multilevel convertors for distributed power generation systems with DC voltage sources.” International Conference on Renewable Energy and Power Quality (ICREPQ), 2005, Paper 5. Citations: 17.

5. Iwaszkiewicz J.*, “A predictive algorithm for current controlled voltage source inverter.” IEEE International Symposium on Industrial Electronics (ISIE), 1993, Budapest. Citations: 12.

Vitalii Babak | Mathematical Modeling | Best Researcher Award

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Prof. Vitalii Babak | Mathematical Modeling | Best Researcher Award

Director | General Energy Institute of National Academy of Sciences of Ukraine | Ukraine

Prof. Vitalii Babak is a renowned Ukrainian scientist and academic leader whose distinguished career spans more than four decades in the fields of mathematical modeling, energy systems optimization, and measurement technologies. He graduated from the Kyiv Polytechnic Institute in 1977 with a degree in Electrical Instrumentation and Computer Engineering, later earning the title of Doctor of Technical Sciences in 2005. Rising through the academic ranks, he began his professional journey at the Kyiv Polytechnic Institute, progressing from engineer to head of department (1977–1995), followed by serving as Deputy Minister of Education of Ukraine for Higher Education (1995–1998) and Rector of the National Aviation University (1998–2008). From 2008 to 2021, he worked at the Institute of Technical Thermophysics of the NAS of Ukraine as Chief Research Fellow and Deputy Director, and since 2022 he has been the Director of the General Energy Institute of the NAS of Ukraine. His primary research interests include the theory of measurements, information-measuring technologies, monitoring and optimization of thermophysical processes, and improving energy efficiency and environmental performance of energy systems. A skilled project manager and innovative problem solver, he has contributed significantly to international collaborations and has published extensively in IEEE and Scopus-indexed journals. According to Scopus, his scholarly impact includes 996 citations by 528 documents, 102 publications, and an h-index of 21, reflecting the wide recognition and influence of his research. His career is decorated with prestigious honors, including Academician of the NAS of Ukraine (2003), Laureate of the State Prize of Ukraine in Science and Technology (2001), Honored Worker of Science and Technology of Ukraine (1997), and honorary doctorates from universities in the USA, Spain, Germany, Lithuania, South Korea, and Georgia. As an IEEE member and respected research leader, Prof. Babak’s contributions continue to shape the advancement of energy research and mathematical modeling, making him a highly deserving recipient of international recognition for scientific excellence.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

  • Babak, V. P., Shchepetov, V. V., & Kharchenko, S. D. (2020). Wear resistance of self-lubricating coatings due to the formation of carbide graphite. Igor Sikorsky Kyiv Polytechnic Institute.
    Cited by 72 documents.

  • Babak, V. P., Babak, S. V., Eremenko, V. S., Kuts, Y. V., & Myslovych, M. V. (2021). Models and measures for measuring random angular quantities. Models and Measures in Measurements and Monitoring, 61–97.
    Cited by 69 documents.

  • Babak, V. P., Babak, S. V., Eremenko, V. S., Kuts, Y. V., & Myslovych, M. V. (2021). Models and measures in measurements and monitoring. Springer International Publishing.
    Cited by 69 documents.

  • Babak, V., Zaporozhets, A., Kuts, Y., Scherbak, L., & Eremenko, V. (2021). Application of material measure in measurements: theoretical aspects. Systems, Decision and Control in Energy II, 261–269.
    Cited by 57 documents.

  • Sokol, Y., Babak, V., Zaporozhets, A., Gryb, O., Karpaliuk, I., & Svetelik, O. (2024). Theoretical principles of acoustic radiation created by corona discharge. Detection of Corona Discharge in Electric Networks, 57–86.
    Cited by 1 document.

 

Junchang Li | Mathematical Modeling | Best Researcher Award

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Dr. Junchang Li | Mathematical Modeling | Best Researcher Award

Shanghai Polytechnic University | China

Dr. Junchang Li is a distinguished researcher in computer science and engineering with expertise in intelligent systems, data analytics, and advanced computing technologies. He holds a Ph.D. in Computer Science and has actively engaged in international collaborations that connect academia, industry, and research communities. His work is widely recognized through publications in reputed IEEE and Scopus-indexed journals and conferences, reflecting both depth and innovation. Alongside his scholarly achievements, Dr. Li has shown strong leadership through student mentorship, volunteer platforms, and active involvement in academic initiatives that promote knowledge sharing and professional growth. He is also a member of esteemed organizations such as IEEE and ACM, underscoring his global research engagement. With a blend of academic rigor and professional commitment, Dr. Li continues to contribute significantly to advancing research and society.

Professional Profiles

Scopus Profile | ORCID Profile 

Education

Dr. Junchang Li pursued his academic journey with a strong foundation in computer science and engineering, culminating in a Ph.D. in Computer Science from a reputed university. His doctoral research focused on advanced areas of intelligent systems, data processing, and computational models, providing him with deep expertise in both theoretical and applied dimensions of computer science. Prior to his Ph.D., he completed his undergraduate and master’s studies in related disciplines, building comprehensive knowledge in algorithms, programming, and emerging technologies. His education reflects a continuous pursuit of excellence and innovation, preparing him to tackle complex challenges in the digital era. By combining rigorous academic training with a passion for exploration, Dr. Li has established a strong scholarly background that supports his impactful research and professional accomplishments.

Experience

Dr. Junchang Li has built extensive professional experience as a researcher, academic, and collaborator in the field of computer science. He has been actively involved in leading and participating in international research projects, connecting global institutions and fostering innovation through cross-border collaborations. His academic journey has been complemented by teaching and mentoring roles, where he has guided students in research projects, publications, and professional growth. Dr. Li’s experience also includes active participation in conferences, workshops, and technical committees, where he has shared insights and contributed to shaping emerging research directions. Beyond academia, he has engaged with industry-oriented research, bridging theoretical knowledge with practical applications. His diverse experience highlights his ability to operate in multidisciplinary environments, lead collaborative efforts, and contribute meaningfully to the advancement of knowledge and technology.

Research Interest

Dr. Junchang Li’s research interests span multiple dynamic areas of computer science and engineering, with a focus on intelligent systems, data analytics, and advanced computational models. He is particularly interested in exploring how emerging technologies can be leveraged to solve complex real-world problems, with emphasis on efficiency, scalability, and innovation. His work addresses challenges in data-driven decision-making, algorithm optimization, and the integration of smart systems into modern digital infrastructures. He is also interested in interdisciplinary research that combines computer science with other domains, opening pathways to impactful applications across industries and society. Through these interests, Dr. Li aims to contribute to the evolution of next-generation technologies, enhance the role of computing in human-centered solutions, and promote knowledge that bridges theoretical concepts with practical implementation.

Awards and Honors

Dr. Junchang Li has received several awards and honors in recognition of his research excellence, academic achievements, and contributions to the global scientific community. His publications in IEEE and Scopus-indexed journals have been highly regarded, and his active involvement in international conferences has earned him appreciation from peers and experts in the field. He has also been recognized for his leadership in research collaborations, student mentorship, and contributions to academic development platforms. These honors reflect his dedication to advancing computer science through innovative and impactful work. In addition, his memberships in globally recognized organizations such as IEEE and ACM further highlight his professional standing and commitment to continuous growth. These recognitions collectively showcase his role as a highly accomplished researcher and respected academic professional.

Research Skill

Dr. Junchang Li possesses strong research skills that reflect both technical expertise and innovative problem-solving capabilities. He is proficient in designing, developing, and implementing advanced algorithms, as well as conducting data-driven analysis for intelligent systems. His skills extend to writing high-quality research papers, presenting at international conferences, and contributing to impactful publications. Dr. Li is experienced in managing collaborative projects, ensuring effective coordination between academic and industry partners to achieve significant research outcomes. He is adept in using modern research methodologies, analytical tools, and programming techniques to address complex computational challenges. In addition, his leadership skills allow him to mentor students and guide research groups effectively. This combination of technical proficiency, academic excellence, and collaborative ability makes him a well-rounded researcher with the capacity to deliver meaningful contributions.

Publication Top Notes

  • Title: Dynamic Pricing for Internet Service Platforms with Initial Demand Constraints: Unified or Differentiated Pricing?
    Authors: Junchang Li; Jiaqing Sun; Jiantong Zhang
    Year: 2025
    Citation: Journal of Theoretical and Applied Electronic Commerce Research, Journal Article, 2025-09-01

  • Title: Bilateral Pricing for Internet Healthcare Platform: Separating or Pooling Doctors?
    Authors: Junchang Li; Chengbin Chu; Jiantong Zhang; Jiaqing Sun
    Year: 2025
    Citation: Expert Systems with Applications, DOI: 10.1016/j.eswa.2025.128717, 2025-06-24

  • Title: Bilateral “pricing” for consultation companies’ competition considering customers’ switching behavior
    Authors: Junchang Li; Jiantong Zhang; Hongzhen Song
    Year: 2023
    Citation: RAIRO – Operations Research, DOI: 10.1051/ro/2023076, July 2023

  • Title: The impacts of subsidy strategies and recycling modes on the closed‐loop supply chain
    Authors: Hongzhen Song; Jiantong Zhang; Junchang Li
    Year: 2022
    Citation: Managerial and Decision Economics, DOI: 10.1002/mde.3658, December 2022

  • Title: Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China
    Authors: Junchang Li; Jiantong Zhang; Ye Ding
    Year: 2020
    Citation: International Journal of Environmental Research and Public Health, DOI: 10.3390/ijerph17082858, April 2020

Conclusion

Dr. Junchang Li stands as a distinguished researcher whose contributions to computer science and engineering have been both impactful and forward-looking. His strong academic foundation, extensive professional experience, and internationally recognized research highlight his value as a leader in his field. Through his innovative work in intelligent systems and data analytics, he has advanced knowledge that influences both academia and industry. His awards, honors, and active involvement in global research communities demonstrate his commitment to professional excellence and societal contribution. With proven skills in collaboration, leadership, and technical expertise, Dr. Li is well-positioned to continue making significant strides in research and innovation. His dedication, vision, and scholarly achievements make him highly deserving of recognition and a role model for future researchers.

Svilen Sabchevski | Dynamical Systems | Best Researcher Award

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Prof. Svilen Sabchevski | Dynamical Systems | Best Researcher Award

Head of Laboratory Plasma Physics and Engineering at Institute of Electronics of the Bulgarian Academy of Sciences, Bulgaria

Prof. Svilen Sabchevski 🎓, Associate Professor and Head of Laboratory at the Institute of Electronics, Bulgarian Academy of Sciences 🇧🇬, is a globally recognized expert in physical electronics, plasma physics, and terahertz (THz) science 🌐⚡. With a PhD in Physics and an MSc in Electronic Engineering (summa cum laude) 🧪📘, he has authored over 110 publications, including high-impact journal articles, book chapters, and patents 📚🔬. His pioneering research in gyrotron technologies supports applications in nuclear fusion, advanced spectroscopy, and medical imaging 🚀🏥. With 2,000+ citations and an h-index of 25 📈, Prof. Sabchevski leads major international collaborations across Europe and Asia. As a scientific editor, project coordinator, and THz technology advocate, he stands as a leading force in computational modeling and high-power electron-beam systems 💡👨‍🔬.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

🎓 Education

Prof. Svilen Sabchevski holds an MSc in Electronic Engineering (Electron Devices) from St. Petersburg State Electrotechnical University, graduating summa cum laude 🏅. He earned his Ph.D. in Physics from the Institute of Electronics at the Bulgarian Academy of Sciences (IE-BAS) in 1991 🧪. His academic foundation is deeply rooted in electron-device physics, laying the groundwork for his impactful research in plasma and physical electronics. His education combined rigorous theoretical grounding with strong applied engineering expertise, shaping his future trajectory in high-frequency radiation systems, gyrotrons, and THz technology ⚙️📡. This elite academic background has empowered him to lead complex research projects, engage in international collaborations, and contribute transformative work to the field of computational and experimental electron-beam physics 🌍🧠.

🏢 Professional Experience

Prof. Sabchevski is currently Head of the Plasma Physics and Engineering Laboratory at IE-BAS 🏛️, where he leads advanced research in gyrotron development, electron optics, and THz radiation. Over the past five years, he has served as visiting professor and scientist in prestigious institutions across Japan 🇯🇵, Germany 🇩🇪, and Switzerland 🇨🇭, collaborating on next-generation electron-beam technologies. His leadership roles in bilateral and global research initiatives, including the International Consortium for High-Power THz Science & Technology, have established him as a leading innovator in the field 🚀🌐. With more than three decades of experience in physical modeling, software development, and experimental science, Prof. Sabchevski blends academic depth with engineering prowess to pioneer cutting-edge solutions in applied radiophysics and nuclear fusion systems ⚡👨‍🔬.

🔬 Research Interest

Prof. Sabchevski’s research is centered on physical electronics, intense electron beams, and terahertz (THz) science 🔬📡. He specializes in the development of gyrotrons for controlled thermonuclear fusion reactors, advanced diagnostics, and high-resolution imaging systems for technological and medical use 🧲💉. Additional areas include computational physics, CAD-based system optimization, and nonlinear dynamics of high-power electron-optical devices. He has significantly contributed to the understanding of mode interaction in gyro-devices and the generation of coherent THz radiation, crucial for spectroscopy and plasma heating 💥📈. His expertise also spans peniotron technologies and ECR-based microwave sources. By integrating theory, simulation, and practical experimentation, Prof. Sabchevski leads groundbreaking research with global scientific and industrial impact 🌍💡.

🏅 Awards and Honors

Prof. Sabchevski has earned widespread acclaim for his research excellence, international collaborations, and contributions to scientific communities 🎖️🌟. He serves on the editorial boards of prestigious journals such as Journal of Infrared, Millimeter, and Terahertz Waves (Springer) and Advances in Modern Oncology Research 📘🖋️. As editor of the International THz Consortium Newsletter and website, he has championed global efforts to advance THz science and technology. His research has been recognized in Bulgaria and internationally, including funding and leadership in bilateral projects with France and Japan 🧭🇫🇷🇯🇵. With over 2,000 citations and an H-index of 25, his scientific influence continues to grow. His dedication and visionary leadership make him a true ambassador of high-power THz technology and academic excellence 🔭💫.

🛠️ Research Skills

Prof. Sabchevski brings a rare combination of theoretical expertise, software development, and hands-on experimental capability 🔍🧮. He is a specialist in simulation-driven research, developing custom software packages for modeling electron beams, gyrotrons, and THz systems. His skillset includes electromagnetic theory, nonlinear wave interaction, CAD optimization, and plasma diagnostic techniques 📡🛠️. He excels in both frequency- and time-domain analysis of complex systems and is highly experienced with international research protocols and large-scale scientific instrumentation ⚙️🧪. His ability to conceptualize, simulate, and validate gyro-devices places him among the leading figures in modern terahertz science. These interdisciplinary strengths have enabled him to work on frontier applications in fusion energy, spectroscopy, and biomedical imaging 🌐📊.

📝Publications Top Note

  • Title: Development and applications of high-frequency gyrotrons in FIR FU covering the sub-THz to THz range
    Authors: T. Idehara, S.P. Sabchevski
    Year: 2012
    Citations: 122
    Source: Journal of Infrared, Millimeter, and Terahertz Waves, 33(7), 667–694

  • Title: A high harmonic gyrotron with an axis-encircling electron beam and a permanent magnet
    Authors: T. Idehara, I. Ogawa, S. Mitsudo, Y. Iwata, S. Watanabe, Y. Itakura, K. Ohashi, S.P. Sabchevski, et al.
    Year: 2004
    Citations: 121
    Source: IEEE Transactions on Plasma Science, 32(3), 903–909

  • Title: Development of THz gyrotrons at IAP RAS and FIR UF and their applications in physical research and high-power THz technologies
    Authors: M.Y. Glyavin, T. Idehara, S.P. Sabchevski
    Year: 2015
    Citations: 120
    Source: IEEE Transactions on Terahertz Science and Technology, 5(5), 788–797

  • Title: Novel and emerging applications of the gyrotrons worldwide: Current status and prospects
    Authors: S. Sabchevski, M. Glyavin, S. Mitsudo, Y. Tatematsu, T. Idehara
    Year: 2021
    Citations: 115
    Source: Journal of Infrared, Millimeter, and Terahertz Waves, 42(7), 715–741

  • Title: The gyrotrons as promising radiation sources for THz sensing and imaging
    Authors: T. Idehara, S.P. Sabchevski, M. Glyavin, S. Mitsudo
    Year: 2020
    Citations: 102
    Source: Applied Sciences, 10(3), 980

  • Title: Direct observation of the hyperfine transition of ground-state positronium
    Authors: T. Yamazaki, A. Miyazaki, T. Suehara, T. Namba, S. Asai, T. Kobayashi, et al.
    Year: 2012
    Citations: 99
    Source: Physical Review Letters, 108(25), 253401

  • Title: Porous silica derived from sago waste and its application for SiO₂/C composites in aluminum-air batteries
    Authors: H. Aripin, S. Sutisna, E. Priatna, I.N. Sudiana, E. Surahman, S. Sabchevski
    Year: 2022
    Citations: 4
    Source: International Journal of Electrochemical Science, 17(12), 221221

  • Title: Modelling, simulation and CAD of gyrotrons for high-power terahertz science and technologies
    Authors: S. Sabchevski, T. Idehara, M. Damyanova, I. Zhelyazkov, E. Balabanova, et al.
    Year: 2018
    Citations: 4
    Source: Journal of Physics: Conference Series, 992(1), 012001

  • Title: Beam–wave interaction from FEL to CARM and associated scaling laws
    Authors: E. Di Palma, G. Dattoli, E. Sabia, S. Sabchevski, I. Spassovsky
    Year: 2017
    Citations: 4
    Source: IEEE Transactions on Electron Devices, 64(10), 4279–4286

  • Title: Current status of the development of the problem-oriented software package GYREOSS
    Authors: M. Damyanova, S. Sabchevski, I. Zhelyazkov, E. Vasileva, E. Balabanova, et al.
    Year: 2014
    Citations: 4
    Source: Journal of Physics: Conference Series, 514(1), 012056

🌍📈Conclusion

Prof. Svilen Sabchevski stands as a globally respected scientist and research leader in the realm of high-frequency electron-beam systems and terahertz technologies 🌍📈. With over 110 publications, 2,000+ citations, and an influential editorial and research presence, he exemplifies the qualities of a visionary academic and innovative engineer 📚👨‍🔬. His deep expertise, collaborative spirit, and commitment to advancing THz science across disciplines and continents make him an outstanding candidate for honors like the Best Researcher Award 🏆. Continuously contributing to scientific knowledge, mentoring emerging scholars, and solving global challenges through cutting-edge research, Prof. Sabchevski’s impact reaches far beyond borders—illuminating the future of radiophysics, fusion energy, and medical technology 🚀💡.

Sina Safari | Mathematical Modeling | Best Researcher Award

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Dr. Sina Safari | Mathematical Modeling | Best Researcher Award

Senior research associate at University of Bristol, United Kingdom

Dr. Sina Safari 🎓 is a dynamic Senior Research Associate in Data Science for Material Engineering at the University of Bristol 🇬🇧, specializing in nonlinear dynamics, structural integrity, and AI/ML applications in engineering 💡🤖. With a Ph.D. in Dynamics and Control from the University of Exeter and a Global Talent Visa, he has authored numerous impactful publications 📚 in top-tier journals and conferences. His research integrates physics-informed machine learning, multiscale modeling, and fatigue testing to address real-world engineering challenges 🔬⚙️. A passionate educator 👨‍🏫 and Associate Fellow of the Higher Education Academy, he has also contributed to multiple high-profile research projects including SINDRI and ADDISONIC partnerships. Dr. Safari’s international collaborations, innovation in structural modeling, and leadership in research bids make him a rising force in computational and experimental mechanics 🌍🏗️.

Professional Profile 

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🎓 Education

Dr. Sina Safari holds a Ph.D. in Dynamics and Control from the University of Exeter, UK 🇬🇧, where his research focused on data-driven, physics-informed modeling of nonlinear dynamical systems from vibration data 📈🔬. Prior to this, he earned an M.S. in Hydraulic Structures from the University of Tabriz, Iran 🇮🇷, where he specialized in vibration control and fluid-structure interaction 🌊🏗️. He also holds a B.S. in Civil Engineering from Azarbaijan Shahid Madani University, focusing on structural design and earthquake engineering 🏛️🌍. His academic journey showcases a solid foundation in structural mechanics, coupled with advanced analytical techniques and interdisciplinary knowledge, preparing him for high-level research in modern mechanical and civil engineering domains. His global education trajectory reflects both depth and diversity in the fields of engineering and applied sciences 📚🧠.

💼 Professional Experience

Dr. Sina Safari has built a rich professional portfolio across academia, industry, and research sectors 🌐. Currently a Senior Research Associate at the University of Bristol 🇬🇧, he contributes to the SINDRI Partnership with EDF on data-driven structural integrity assessment 🧪🔧. Previously, he served as a postdoctoral researcher at Bournemouth University, leading fellowship bids and industrial consultancy projects. His earlier roles include research assistantships, teaching assistant positions at the University of Exeter, and engineering roles in Iran 🏗️. From MATLAB instruction to technical site engineering and structural design, his career spans hands-on construction to high-impact computational research. With consistent involvement in collaborative, cross-disciplinary environments, Dr. Safari combines engineering intuition, academic rigor, and project leadership, bridging the gap between traditional structural mechanics and modern computational intelligence 🤝💡.

🔬 Research Interests

Dr. Safari’s research is driven by a passion for solving complex engineering problems through intelligent modeling and data science 🚀📊. His core interests include nonlinear system identification, structural dynamics, fatigue testing, and multiscale modeling of materials and assemblies 🧩⚙️. He integrates machine learning and artificial intelligence—especially physics-informed neural networks and recurrent neural operators—into engineering workflows for predictive diagnostics and design optimization 🤖🛠️. Additionally, he works on shape optimization, vibration-based structural health monitoring, and uncertainty quantification of bolted joints. His research aligns with pressing challenges in aerospace, nuclear, and civil sectors, contributing toward digital twins and smart engineering systems. With a balance of experimental insight and data-driven innovation, Dr. Safari is advancing the frontier of next-generation materials and structures 🏗️📐🔍.

🏅 Awards and Honors

Dr. Sina Safari was awarded a fully funded Ph.D. studentship at the University of Exeter, recognizing his potential in advanced structural dynamics research 🎓🌟. He is a recipient of the prestigious UK Global Talent Visa, which honors individuals making significant contributions to science and innovation on an international scale 🌍🏆. His selection as a key researcher within UK-funded initiatives like the SINDRI and ADDISONIC projects reflects peer recognition of his scientific excellence and leadership. Moreover, his roles in winning and leading high-level fellowship proposals, including submissions to the Royal Academy of Engineering and Leverhulme Trust, highlight his proactive contribution to competitive research landscapes 🧪📜. These accolades underscore Dr. Safari’s outstanding scholarly impact, cross-border relevance, and dedication to transformative engineering research 💡🌐.

🛠️ Research Skills

Dr. Safari possesses a robust arsenal of technical and analytical skills that empower his research in both experimental and computational domains 🧠💻. He is proficient in MATLAB, Simulink, Python, LabVIEW, and C programming for advanced simulations and modeling tasks 📊🔬. His expertise spans finite element tools such as ABAQUS, ANSYS, OpenSees, and SAP2000, enabling precise modeling of complex materials and assemblies 🏗️🧪. Skilled in vibration testing, signal processing (using tools like MEscope, SeismoSignal), and data analysis, he tackles problems in structural health monitoring and nonlinear dynamics with confidence 📉📈. His experience also includes digital image correlation, machine learning implementation, and optimization techniques for structural design. With strong communication and collaborative research project management, Dr. Safari demonstrates both technical depth and practical innovation across multiple domains 🧰📘.

📝Publications Top Note

  • Parametric Study of Stochastic Seismic Responses of Base-Isolated Liquid Storage Tanks under Near-Fault and Far-Fault Ground Motions
    Authors: S. Safari, R. Tarinejad
    Year: 2018
    Citations: 38
    Published in: Journal of Vibration and Control, Vol. 24, Issue 24, pp. 5747–5764

  • Estimation of Inelastic Displacement Ratio for Base-Isolated Structures
    Authors: S. Yaghmaei-Sabegh, S. Safari, K.A. Ghayouri
    Year: 2018
    Citations: 28
    Published in: Earthquake Engineering & Structural Dynamics, Vol. 47, Issue 3, pp. 634–659

  • Direct Optimisation-Based Model Selection and Parameter Estimation Using Time-Domain Data for Identifying Localised Nonlinearities
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2021
    Citations: 19
    Published in: Journal of Sound and Vibration, Vol. 501, Article 116056

  • Data-Driven Structural Identification of Nonlinear Assemblies: Structures with Bolted Joints
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2023
    Citations: 18
    Published in: Mechanical Systems and Signal Processing, Vol. 195, Article 110296

  • Characterization of Ductility and Inelastic Displacement Demand in Base-Isolated Structures Considering Cyclic Degradation
    Authors: S. Yaghmaei-Sabegh, S. Safari, K.A. Ghayouri
    Year: 2019
    Citations: 18
    Published in: Journal of Earthquake Engineering, Vol. 23, Issue 4, pp. 557–591

  • Benchmarking of Optimisation Methods for Model Selection and Parameter Estimation of Nonlinear Systems
    Authors: S. Safari, J.L. Monsalve
    Year: 2021
    Citations: 4
    Published in: Vibration, Vol. 4, Issue 3, pp. 648–665

  • Nonlinear Function Selection and Parameter Estimation of Structures with Localised Nonlinearities – Part I: Numerical Analysis
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2020
    Citations: 3
    Published in: Nonlinear Structures and Systems, Proceedings of the 38th IMAC Conference on Structural Dynamics

  • Data-Driven Structural Identification of Nonlinear Assemblies: Asymmetric Stiffness and Damping Nonlinearities
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2025
    Citations: 2
    Published in: Mechanical Systems and Signal Processing, Vol. 222, Article 111745

  • Importance of Virtual Sensing and Model Reduction in the Structural Identification of Bolted Assemblies
    Authors: S. Safari, J.M. Londoño Monsalve
    Year: 2023
    Citations: 1
    Published in: Proceedings of the Society for Experimental Mechanics Annual Conference, pp. 33–36

  • Statistical Calibration of Ultrasonic Fatigue Testing Machine and Probabilistic Fatigue Life Estimation
    Authors: S. Safari, D. Montalvão, P.R. da Costa, L. Reis, M. Freitas
    Year: 2025
    Published in: International Journal of Fatigue (under review), Article 109028

  • Data-Driven Structural Identification of Nonlinear Assemblies: Uncertainty Quantification
    Authors: S. Safari, D. Montalvão, J.M.L. Monsalve
    Year: 2025
    Published in: International Journal of Non-Linear Mechanics, Vol. 170, Article 105002

  • A New Design for Mitigating Interfering Modes in Cruciform Specimens to Enhance Ultrasonic Fatigue Testing
    Authors: D. Montalvão, S. Safari, W. Chidzikwe, P. Sewell, P. Costa, L. Reis, M. Freitas
    Year: 2025
    Published in: Procedia Structural Integrity, Vol. 68, pp. 472–479

📘 Conclusion

Dr. Sina Safari is a forward-thinking, globally engaged researcher whose work bridges structural mechanics and intelligent computing 🤝🧠. With a solid foundation in civil and mechanical engineering, advanced training in nonlinear system dynamics, and cutting-edge applications of AI/ML in modeling and diagnostics, he exemplifies the modern multidisciplinary engineer of the future 🌐🔧. His dedication to scientific innovation, impactful teaching, and international collaboration positions him as a strong leader in the evolving fields of smart structures and material intelligence 🏆📡. As he continues his journey at the University of Bristol and beyond, Dr. Safari is poised to make transformative contributions to digital engineering, helping shape a safer, smarter, and more sustainable world 🌍⚙️🔍.

Lluis Miquel | Operations Research | Mathematical Modeling Breakthrough Award

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Prof. Dr. Lluis Miquel | Operations Research | Mathematical Modeling Breakthrough Award

Departamento Matemática at Pla-Aragones Universidad de Lleida, Spain

Dr. Luis Miguel Plà-Aragonès 🇪🇸 is a renowned expert in Operations Research 🔍 and Decision Analysis 🧠, with a focus on applications in agriculture 🌾, economics 💹, and health systems 🏥. As a professor at the University of Lleida, Spain, he has made significant contributions through multi-criteria decision-making, optimization modeling, and policy analysis. His interdisciplinary approach bridges the gap between theory and real-world impact, particularly in areas like agricultural planning, resource allocation, and cost-effectiveness analysis. 📊 With numerous publications 📚 and collaborations across Europe and Latin America 🌍, Dr. Plà-Aragonès is recognized for advancing the role of decision science in solving complex societal challenges. He is a dedicated mentor 👨‍🏫, respected academic, and a driving force behind the integration of quantitative models into sustainable decision-making practices. ♻️

Professional Profile 

Google Scholar
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🎓 Education

Dr. Luis Miguel Plà-Aragonès holds a Ph.D. in Agricultural Engineering 🧑‍🔬 from the University of Lleida, Spain 🇪🇸, where he also earned his undergraduate and master’s degrees. His academic journey has been deeply rooted in applying mathematical and decision-analytic tools 📐 to complex agricultural systems 🌾. With a strong foundation in statistics, optimization, and operations research, he further enriched his expertise through postdoctoral training and international research exchanges across Europe 🌍. His educational background blends technical rigor with practical insight, laying the groundwork for his interdisciplinary research. His early academic excellence and commitment to innovation have made him a respected scholar in quantitative decision-making 🧠, particularly within the agricultural and environmental sectors. 📊 His educational path has continuously evolved toward bridging scientific research and real-world problem solving. 🧑‍🏫

💼 Professional Experience

Dr. Plà-Aragonès serves as a Professor of Operations Research and Decision Analysis at the University of Lleida 🏛️, with more than two decades of academic experience 👨‍🏫. He has held leadership roles in multiple international research networks, including coordinating the EURO Working Group on Operational Research in Agriculture and Forest Management 🌳. His career spans collaborative projects with both academic and industry stakeholders, particularly in the pig and dairy farming sectors 🐖🐄. As a principal investigator, he has led EU and Latin American research consortia in modeling and AI-driven agricultural innovation 🤖. He also mentors Ph.D. students and has developed decision-support systems used in real-world agribusiness. His dynamic professional profile showcases a balance of teaching, research, consultancy, and technological transfer across interdisciplinary domains. 🌍

🔬 Research Interests

Dr. Plà-Aragonès’s research revolves around mathematical modeling, multi-criteria decision-making, and operations research applied to agriculture, healthcare, and resource management 🌾🏥📊. He is especially known for his work in livestock logistics, sow replacement optimization, and agri-food supply chain modeling using Markov Decision Processes, stochastic optimization, and AI-enhanced systems 🤖. His interests also extend to cost-effectiveness analysis in healthcare, bridging economic modeling with decision science 💊. He is a key advocate for integrating AI, cloud computing ☁️, and IoT into agricultural modeling, ensuring smarter and more sustainable farm management. Through international collaborations 🌍 and cross-sector applications, his research continually addresses real-world challenges in food systems, environmental sustainability ♻️, and public health policy using rigorous quantitative methods. 📈

🏅 Awards and Honors

Dr. Luis Miguel Plà-Aragonès has been honored for his outstanding contributions to operations research and agricultural modeling 🌍. He is a recipient of various research leadership recognitions, including the prestigious coordination role in the CYTED BigDSSAgro Network and awards from international agricultural and engineering bodies 🧪. His work has earned accolades for bridging research and practice in farming systems, and he has been frequently invited as a keynote speaker 🎤 at global conferences in AI for agriculture and decision support systems. Under his leadership, several European Union and international collaborative projects have won funding and academic praise 💼💡. His active role in mentoring, publishing, and innovating across disciplines has made him a respected and decorated figure in decision science and sustainable development. 🥇

🧰 Research Skills

Dr. Plà-Aragonès possesses advanced skills in mathematical modeling, optimization, stochastic processes, and simulation modeling 🔢. He is adept in applying Markov Decision Processes, Multi-Criteria Decision Analysis (MCDA), and AI algorithms to develop decision-support tools for agriculture and health sectors 🌱🏥. His programming capabilities span R, Python, and MATLAB, while his modeling expertise extends to GAMS, LINGO, and AnyLogic 💻. He’s proficient in integrating data analytics, machine learning, and cloud-based architectures for developing scalable, digital decision systems ☁️🤖. Dr. Plà’s multidisciplinary skills allow him to lead cross-border research, publish in top-tier journals 📚, and translate theory into practical tools for industry. His ability to synthesize quantitative methods into actionable solutions defines his technical excellence. ⚙️

Publications Top Note 📝

  • Title: Operational research models applied to the fresh fruit supply chain
    Authors: WE Soto-Silva, E Nadal-Roig, MC González-Araya, LM Plà-Aragonès
    Year: 2016
    Citations: 337
    Source: European Journal of Operational Research, 251(2), 345-355

  • Title: Sugar cane transportation in Cuba, a case study
    Authors: EL Milan, SM Fernandez, LMP Aragones
    Year: 2006
    Citations: 132
    Source: European Journal of Operational Research, 174(1), 374-386

  • Title: Optimizing fresh food logistics for processing: Application for a large Chilean apple supply chain
    Authors: WE Soto-Silva, MC González-Araya, MA Oliva-Fernández, et al.
    Year: 2017
    Citations: 123
    Source: Computers and Electronics in Agriculture, 136, 42-57

  • Title: A perspective on operational research prospects for agriculture
    Authors: LM Plà, DL Sandars, AJ Higgins
    Year: 2014
    Citations: 101
    Source: Journal of the Operational Research Society, 65(7), 1078–1089

  • Title: Review of mathematical models for sow herd management
    Authors: LM Plà
    Year: 2007
    Citations: 66
    Source: Livestock Science, 106(2–3), 107–119

  • Title: New opportunities in operations research to improve pork supply chain efficiency
    Authors: SV Rodríguez, LM Plà, J Faulin
    Year: 2014
    Citations: 63
    Source: Annals of Operations Research, 219, 5–23

  • Title: A Markov decision sow model representing the productive lifespan of herd sows
    Authors: LM Plà, C Pomar, J Pomar
    Year: 2003
    Citations: 53
    Source: Agricultural Systems, 76(1), 253–272

  • Title: Environmental assessment of a pork-production system in North-East of Spain focusing on life-cycle swine nutrition
    Authors: C Lamnatou, X Ezcurra-Ciaurriz, D Chemisana, LM Plà-Aragonès
    Year: 2016
    Citations: 52
    Source: Journal of Cleaner Production, 137, 105–115

  • Title: Optimal transport planning for the supply to a fruit logistic centre
    Authors: E Nadal-Roig, LM Plà-Aragonès
    Year: 2015
    Citations: 51
    Source: Handbook of Operations Research in Agriculture and the Agri-Food Industry

  • Title: Modeling tactical planning decisions through a linear optimization model in sow farms
    Authors: SV Rodríguez-Sánchez, LM Plà-Aragonès, VM Albornoz
    Year: 2012
    Citations: 50
    Source: Livestock Science, 143(2–3), 162–171

  • Title: Production planning of supply chains in the pig industry
    Authors: E Nadal-Roig, LM Plà-Aragonès, A Alonso-Ayuso
    Year: 2019
    Citations: 42
    Source: Computers and Electronics in Agriculture, 161, 72–78

  • Title: A two-stage stochastic programming model for scheduling replacements in sow farms
    Authors: SV Rodríguez, VM Albornoz, LM Plà
    Year: 2009
    Citations: 42
    Source: TOP, 17, 171–189

  • Title: Handbook of operations research in agriculture and the agri-food industry
    Author: LM Plà-Aragonès
    Year: 2015
    Citations: 41
    Source: Springer New York

  • Title: Selection of slaughterhouse to deliver fattened pigs depending on growth curves
    Authors: Y Bao, P Llagostera, D Babot, LM Plà-Aragonès
    Year: 2025
    Source: Agricultural Systems, 229, 104406

  • Title: Mathematical methods applied to the problem of dairy cow replacements: a scoping review
    Authors: O Palma, LM Plà-Aragonès, A Mac Cawley, VM Albornoz
    Year: 2025
    Source: Animals, 15(7), 970

  • Title: A genetic algorithm for site-specific management zone delineation
    Authors: F Huguet, LM Plà-Aragonès, VM Albornoz, M Pohl
    Year: 2025
    Source: Mathematics, 13(7), 1064

  • Title: A deep learning approach for image analysis and reading body weight from digital scales in pigs farms
    Authors: NA Reyes-Reyes, MC Doja, P Llagostera-Blasco, LM Plà-Aragonès, et al.
    Year: 2025
    Source: IEEE Access

  • Title: Mathematical Methods Applied to the Problem of Dairy Cow Replacements: A Scoping Review
    Authors: O Palma, LM Plà-Aragonès, A Mac Cawley, VM Albornoz
    Year: 2025
    Source: System, 26, 11

🧭 Conclusion

Dr. Luis Miguel Plà-Aragonès exemplifies the fusion of theoretical innovation and practical impact in mathematical modeling 🌍. With a foundation built on rigorous education 🎓 and two decades of professional excellence 💼, he has become a global leader in using operations research to solve real-world problems in agriculture, environment, and health 🌾💊♻️. His interdisciplinary collaborations, influential publications, and award-winning leadership reflect a visionary commitment to data-driven decision-making 📈. By integrating AI, cloud systems, and analytics into sustainable frameworks, Dr. Plà is shaping the future of intelligent agriculture and policy modeling 🤖. His dedication to mentorship, international outreach, and technological innovation makes him not only a researcher of high distinction but also a catalyst for global scientific progress. 🏆