Lluis Miquel | Operations Research | Mathematical Modeling Breakthrough Award

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 

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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. 🏆

Evgeny Kuznetsov | Mathematical Physics | Mathematical Physics Leadership Award

Prof. Dr. Evgeny Kuznetsov | Mathematical Physics | Mathematical Physics Leadership Award

Head of Laboratory of Mathematical Physics at Lebedev Physical Institute of RAS, Russia

Dr. Evgenii Alexandrovich Kuznetsov is a distinguished Russian physicist and mathematician, renowned for his groundbreaking research in nonlinear waves, turbulence, and integrable systems. He earned his Ph.D. in Mathematics and Physics in 1973 and has since contributed significantly to the fields of plasma physics, hydrodynamics, and nonlinear wave theory. Dr. Kuznetsov holds prominent academic positions, including his role as a Principal Research Fellow at the P.N. Lebedev Physical Institute and the Landau Institute for Theoretical Physics. He has been a leading figure in the Center for Nonlinear Studies and has served as Director of the Novosibirsk Department of the International Institute for Nonlinear Science. With extensive international experience as a visiting professor at top institutions worldwide, he is deeply engaged in promoting mathematical physics education. His legacy is marked by numerous publications, significant contributions to theoretical physics, and a strong commitment to advancing nonlinear science globally.

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Education

Dr. Evgenii Alexandrovich Kuznetsov’s educational journey began at Novosibirsk State University, where he completed his undergraduate studies in Physics in 1969. ‘Including Deputy Director of the Landau Institute of Theretical Physics and the Center of Nonlinear Studies”. His academic pursuits led to a Ph.D. in Mathematics and Physics in 1973 from the Institute for Nuclear Physics at the Siberian Branch of the USSR Academy of Sciences. His doctoral thesis focused on nonlinear waves in plasma, under the guidance of Prof. V.E. Zakharov. In 1981, he earned his Doctorate in Mathematics and Physics, with a thesis on the stability of nonlinear waves and turbulence, solidifying his expertise in nonlinear dynamics. His educational background laid the foundation for a distinguished career in theoretical physics, contributing significantly to both research and academic teaching in the field.
(i) Derivation of the so-called Zakharov-Kuznetsov (ZK) equation for describing ion-acoustic waves in a magnetzed plasma, finding within this equation 3D solitons with their Lyapunov stability proving with the help of the Sobolev integral estimation;
(ii) Finding first time exact anisotropic spectra of weak turbulence of the Kolmogorov type for ion-acoustic waves in strongly magnetized plasma with the help of the so called Zakharov-Kuznetsov transformation;
(iii) Construting first time exact solution for breathers of the 1D nonlinear Schrodinger equation by means of the inverse scattering transform.

Professional Experience

Dr. Kuznetsov’s professional experience spans over five decades, beginning as a trainee researcher in 1969 at the Institute for Nuclear Physics. He later became a senior research fellow and head of the Laboratory of Nonlinear Physics at the Institute of Automation and Electrometry. In 1992, he joined the Landau Institute for Theoretical Physics and the P.N. Lebedev Physical Institute, where he held pivotal roles, including Deputy Director of the Center for Nonlinear Studies. He has also been a visiting professor at renowned institutions like the Weizmann Institute of Science and the University of Colorado. Throughout his career, Dr. Kuznetsov has contributed immensely to research and education in nonlinear physics, turbulence, and integrable systems. His extensive career reflects his leadership in scientific research and his role as a mentor to future generations of physicists.

Research Interests

Dr. Kuznetsov’s primary research interests revolve around nonlinear wave dynamics, turbulence, and integrable systems. He has made significant contributions to the study of solitons, plasma physics, and nonlinear hydrodynamics. His research spans a variety of topics, including the stability of nonlinear waves, wave propagation in plasma, and the mathematics of integrable systems. He has pioneered the study of complex wave interactions and turbulence, particularly in plasma and fluid dynamics. Dr. Kuznetsov has also worked on the development of theoretical frameworks for nonlinear phenomena in various physical systems, including those in plasma, hydrodynamics, and integrable systems. His work continues to influence the understanding of nonlinear dynamics in both classical and quantum systems.

Awards and Honors

Dr. Kuznetsov has received numerous awards and honors throughout his career, recognizing his outstanding contributions to theoretical physics and nonlinear science. He has been a principal research fellow at prestigious Russian institutes, including the P.N. Lebedev Physical Institute and the Landau Institute for Theoretical Physics. He has received recognition for his role in advancing nonlinear physics, particularly in the areas of wave dynamics, turbulence, and solitons. His work has also led to invitations as a visiting professor at esteemed institutions worldwide, further attesting to his global influence in the field. His leadership in the Center for Nonlinear Studies and his involvement in international research collaborations have solidified his reputation as a leader in mathematical physics. He was awarded by the L.I. Mandelstam Price of the Russian Academy of Sciences for the cycle of works “Wave collapses in plasma, optics and hydrodynamics” (2012), elected as a full member of the Russian Academy of Sciences (2016).

Conclusion

Dr. Evgenii Kuznetsov’s career is marked by groundbreaking research, leadership in the scientific community, and a deep commitment to advancing the field of nonlinear physics. His extensive academic experience, both as a researcher and educator, has made him a prominent figure in theoretical physics. He has significantly contributed to our understanding of nonlinear waves, turbulence, and integrable systems, leaving a lasting legacy in these fields. His leadership roles at major Russian institutes and his involvement in international collaborations have established him as a key figure in the global scientific community. Dr. Kuznetsov’s continued work and mentorship will undoubtedly inspire future generations of physicists, ensuring that his impact on the field of mathematical physics endures for years to come.

Publications Top Noted

  • Title: Three-Dimensional Acoustic Turbulence: Weak Versus Strong
    Authors: E.A. Kochurin, Evgeny A. Kuznetsov
    Year: 2024
    Citations: 3
    Source: Physical Review Letters

  • Title: Mathematical Methods of Physics: Problems with Solutions
    Authors: I.V. Kolokolov, E.A. Kuznetsov, A.I. Milstein, D.A. Shapiro, E.G. Shapiro

  • Title: Magnetic Filaments: Formation, Stability, and Feedback
    Authors: E.A. Kuznetsov, E.A. Mikhailov
    Year: 2024
    Source: Mathematics

  • Title: Quasiclassical Dynamics of Nonlinear Wave Systems
    Authors: E.A. Kuznetsov
    Year: 2023
    Source: Radiophysics and Quantum Electronics

  • Title: Reply to the Comment to the Paper “Symmetry Approach in the Problem of Gas Expansion into Vacuum”
    Authors: E.A. Kuznetsov, M.Y. Kagan

  • Title: Nonlinear Dynamics of Slipping Flows
    Authors: E.A. Kuznetsov, E.A. Mikhailov, M.G. Serdyukov
    Year: 2023
    Source: Radiophysics and Quantum Electronics

  • Title: Formation of Droplets of the Order Parameter and Superconductivity in Inhomogeneous Fermi–Bose Mixtures (Brief Review)
    Authors: M.Y. Kagan, S.V. Aksenov, A.V. Turlapov, V.M. Silkin, E.A. Burovski
    Year: 2023
    Citations: 3
    Source: JETP Letters

  • Title: Direct Numerical Simulation of Acoustic Turbulence: Zakharov–Sagdeev Spectrum
    Authors: E.A. Kochurin, E.A. Kuznetsov
    Year: 2022
    Citations: 10
    Source: JETP Letters

  • Title: Slipping Flows and Their Breaking
    Authors: E.A. Kuznetsov, E.A. Mikhailov
    Year: 2022
    Citations: 8
    Source: Annals of Physics

  • Title: Instability of Solitons and Collapse of Acoustic Waves in Media with Positive Dispersion
    Authors: E.A. Kuznetsov
    Year: 2022
    Citations: 5
    Source: Journal of Experimental and Theoretical Physics

  • Title: Turbulence of Ion Sound in a Plasma Located in a Magnetic Field
    Authors: E.A. Kuznetsov
    Year: 1972
    Citations: 58
    Source: Soviet Physics JETP, Vol. 35, p. 310
  • Title: Solitons in a Parametrically Unstable Plasma
    Authors: E.A. Kuznetsov
    Year: 1977
    Citations: 655
    Source: Doklady Akademii Nauk SSSR, Vol. 236, pp. 575–577
  • Title: Three-Dimensional Solitons
    Authors: V.E. Zakharov, E.A. Kuznetsov
    Year: 1974
    Citations: 500
    Source: Soviet Physics – Journal of Experimental and Theoretical Physics