Eduardo Coronel | Computer Science | Best Researcher Award

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Dr. Eduardo Coronel | Computer Science | Best Researcher Award

M.Sc. Eng. at Facultad Politécnica,  Paraguay

Eduardo Damián Coronel Torales, born on March 5, 1991, in Asunción, Paraguay, is a distinguished researcher and engineer specializing in electrical engineering, automation, and artificial intelligence applications. He has actively contributed to academia, industry, and international conferences, earning recognition for his innovative work in energy distribution and automation systems. His professional journey has taken him from academic research to practical implementations in one of the world’s largest hydroelectric plants, Itaipu Binacional. With a strong foundation in engineering and computational intelligence, Coronel Torales has made significant contributions to optimizing power distribution and developing automation solutions. His research extends beyond Paraguay, reaching international platforms and collaborations. He continues to push the boundaries of technology by integrating advanced optimization techniques, machine learning, and smart grid systems, positioning himself as a leader in his field.

Professional Profile

Education

Coronel Torales holds a Master’s degree in Electrical Engineering with an emphasis on Energy Systems Planning from the Facultad Politécnica of the Universidad Nacional del Este, obtained in 2021. His postgraduate research focused on optimizing power distribution using computational intelligence. He completed his undergraduate degree in Electronics Engineering with a specialization in Mechatronics at the Universidad Nacional de Asunción in 2017. During his academic career, he demonstrated exceptional analytical and problem-solving skills, engaging in multiple research projects related to automation, robotics, and energy systems. His academic journey reflects a strong commitment to technological advancements and interdisciplinary research. The combination of these degrees has provided him with a robust foundation in both theoretical and practical aspects of energy optimization, artificial intelligence, and industrial automation, equipping him with the expertise to tackle complex engineering challenges at both research and industrial levels.

Professional Experience

With extensive experience in academia and industry, Coronel Torales has worked as a research engineer at Itaipu Binacional, contributing to the modernization of automation systems. His expertise in failure analysis using PI tools and machine learning models has been instrumental in enhancing the reliability of large-scale energy infrastructure. He has also served as a postgraduate lecturer at the Universidad Nacional del Este, teaching heuristic optimization methods. Additionally, he has worked as an instructor at the Paraguay-Korea Advanced Technology Center (SNPP-KOICA), where he trained professionals in digital electronics and industrial automation. His work experience blends research, teaching, and industry applications, allowing him to bridge the gap between theory and practice. Through his diverse roles, he has been actively involved in developing intelligent systems, optimizing automation processes, and mentoring students and professionals in engineering disciplines.

Research Interests

Coronel Torales’ research interests lie at the intersection of power systems optimization, automation, and artificial intelligence. He has extensively explored the use of metaheuristic and multi-objective optimization techniques for enhancing the efficiency of electrical power distribution systems. His research also focuses on computer vision, machine learning, and control systems, particularly for applications in autonomous vehicles, industrial automation, and smart grids. Additionally, he is interested in the integration of AI-driven fault detection and predictive maintenance in large-scale energy infrastructures. His work contributes to improving the reliability and efficiency of energy management systems through data-driven solutions. By combining engineering principles with computational intelligence, he aims to develop sustainable and intelligent solutions for modern energy challenges. His forward-thinking research aligns with global trends in smart energy systems, IoT-enabled automation, and digital transformation in power distribution networks.

Awards and Honors

Coronel Torales has received international recognition for his research contributions, including multiple conference presentations at IEEE and other prestigious platforms. His work on remote-controlled switch optimization in power distribution systems has been published in IEEE Latin America Transactions and presented at international computing and engineering conferences such as CLEI, ICDIM, and INTERCON. He has been acknowledged for his contributions to automation failure analysis at Itaipu Binacional, influencing modernization decisions in one of the world’s largest hydroelectric plants. Additionally, his early research in autonomous vehicle navigation and fuzzy logic control earned him invitations to research symposiums in Argentina, Peru, South Korea, and the United States. His ability to translate research into practical applications has cemented his reputation as an emerging leader in electrical engineering and computational intelligence. His continued contributions are setting a benchmark for innovation in energy systems and industrial automation.

Conclusion

Eduardo Damián Coronel Torales has a strong research background with impactful contributions in energy systems optimization, automation, and AI applications. His publications, international recognition, and industry collaboration make him a strong candidate for the Best Researcher Award. However, to further strengthen his candidacy, he should aim for higher-impact journal publications, more independent research leadership, and broader contributions in emerging fields.

Publications Top Noted

  • Coronel, E., Barán, B., & Gardel, P. (2025). A Survey on Data Mining for Data-Driven Industrial Assets Maintenance Technologies. Journal article. DOI: 10.3390/technologies13020067.
  • Coronel Torales, E. D. (2024). Leveraging Machine Learning for Multi-Step Failure Forecasting in RTU Analog Modules and Estimating Key Performance Indicators to Support Management Decision-Making. CIGRE Paris Session 2024, Conference poster.
  • Coronel, E., Barán, B., & Gardel, P. (2022). Optimal Placement of Remote Controlled Switches in Electric Power Distribution Systems with a Meta-heuristic Approach. IEEE Latin America Transactions. DOI: 10.1109/TLA.2022.9675464.
  • Coronel Torales, E. D. (2021). Optimal Placement of Remote Controlled Switches in Electric Power Distribution Systems with a Multi-Objective Approach. 2021 XLVII Latin American Computing Conference (CLEI). DOI: 10.1109/clei53233.2021.9639970.
  • Coronel Torales, E. D. (2020). Optimización en la Ubicación de Seccionadores Tele-comandados en Sistemas de Distribución de Energía Eléctrica con enfoque meta-heurístico y soporte de decisión multi-criterio. Edited book. DOI: 10.13140/RG.2.2.32305.92002.
  • Coronel Torales, E. D. (2017). Estimación de disponibilidad de energía eléctrica de la Central Hidroeléctrica Itaipú y del crecimiento de la energía cedida al Paraguay hasta el 2023. Facultad Politécnica – Universidad Nacional del Este. DOI: 10.13140/RG.2.2.11838.79685.
  • Coronel Torales, E. D. (2015). Reliable navigation-path extraction system for an autonomous mobile vehicle. 2015 Tenth International Conference on Digital Information Management (ICDIM). DOI: 10.1109/icdim.2015.7381882.
  • Coronel Torales, E. D. (2015). PROTOTIPO DE VEHÍCULO AUTÓNOMO CON RNA Y VISIÓN POR COMPUTADORA. Simposio Argentino de Sistema Embebidos (SASE), Conference poster.
  • Coronel Torales, E. D. (2015). SISTEMA DE ALGORITMOS DE VISIÓN POR COMPUTADOR, APRENDIZAJE DE MÁQUINA, LOCALIZACIÓN Y NAVEGACIÓN DESARROLLADOS EN MATLAB, CON IMPLEMENTACIÓN EN VEHÍCULOS TERRESTRES PARA AUTO-CONDUCCIÓN. XXII Congreso Internacional de Ingeniería Eléctrica, Electrónica, Computación y Afines INTERCON 2015, Conference paper.
  • Coronel Torales, E. D. (2014). STABILITY COMMAND OF A TILT-ROTOR VEHICLE WITH A FUZZY LOGIC CONTROLLER. 3rd Conference of Computational Interdisciplinary Sciences – CCIS 2014, Conference poster. ISBN: 978-85-68888-00-1.
  • Coronel Torales, E. D. (2014). BALANCEADOR AERODINÁMICO CON LÓGICA DIFUSA. XXI Congreso Internacional de Ingeniería Electrónica, Eléctrica y Computación INTERCON 2014, Conference poster.

 

 

Mohsen Vahabi | Nanotechnology | Best Researcher Award

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Dr. Mohsen Vahabi | Nanotechnology | Best Researcher Award

First author, Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Semnan, Iran

Mohsen Vahabi, born on December 14, 1991, in Kerman, Iran, is a Ph.D. student in Electrical Engineering at Shahrood University of Technology. His research interests span nanoelectronics, quantum computing, and reversible logic. Mohsen has published extensively on quantum-dot cellular automata (QCA) technology and nanoelectronics design, contributing to advancements in low-power, high-efficiency computational circuits. His academic excellence is reflected in his perfect GPA during his M.Sc., where he ranked 1st in his class, and his ongoing doctoral research on quantum and molecular electronic devices. Vahabi’s work is highly interdisciplinary, collaborating with experts in nanoelectronics, computational models, and biomedical applications.

Profile

Scopus

Strengths for the Award

  1. Outstanding Academic Performance and Background:
    • Mohsen Vahabi has demonstrated exceptional academic abilities throughout his educational journey. He completed his M.Sc. in Electrical Engineering with a focus on quantum-dot cellular automata (QCA) technology, achieving an impressive GPA of 18.69 out of 20 and ranking 1st in his cohort. Additionally, he received a perfect grade (20 out of 20) for his thesis.
    • His B.Sc. research also demonstrated a high level of understanding and innovation in quantum cellular automata technology. This academic rigor establishes a strong foundation for his current doctoral research.
  2. Research Excellence and Innovation:
    • Vahabi’s research is at the forefront of nanoelectronics and quantum computing, particularly in the areas of quantum-dot cellular automata (QCA) and reversible computing. His thesis on Quantum and Molecular Electronic Devices under the supervision of Dr. Ehsan Rahimi reflects the cutting-edge nature of his work.
    • His publications in high-impact, open-access journals (such as Nano Communication Networks, Applied Sciences, Sustainability, and IEEE Access) demonstrate not only the quality of his research but also its relevance to multiple domains, including nanoelectronics, quantum computing, and biomedical applications. These papers have already attracted substantial citations (ranging from 2 to 15 citations per paper), further attesting to their significance in the scientific community.
  3. Collaborative and Interdisciplinary Work:
    • Vahabi’s work is notably collaborative, involving researchers from different fields (such as Dr. P. Lyakhov, A. Otsuki, and K.A. Wahid), indicating his ability to work effectively in interdisciplinary teams. His contributions have extended beyond theoretical and computational design, involving the implementation of practical systems (e.g., low-power QCA circuits and cardiac arrhythmia detection).
    • This interdisciplinary approach, which bridges nanoelectronics, signal processing, and biomedical applications, reflects a well-rounded and impactful research trajectory.
  4. Publications and Research Visibility:
    • His body of work covers both fundamental and applied aspects of quantum-dot cellular automata and reversible computing, which is highly relevant in the context of future nanoelectronics, energy-efficient computing, and quantum technology. Notable contributions include the design of novel gates, adders, and comparators that aim to reduce power dissipation—a key challenge in nanoelectronics.
    • The presence of his research in reputable journals and its open-access format ensures that his work is widely disseminated, making a significant contribution to the global scientific community.

Areas for Improvement

  1. Broader Research Diversification:
    • While Vahabi’s work in QCA and quantum computing is commendable, expanding his research to address practical challenges and real-world applications of these technologies, such as in industrial settings or consumer electronics, could further enhance the societal impact of his work.
    • Additionally, exploring more experimental validation of his theoretical designs could strengthen his work by bridging the gap between theory and practice.
  2. Engagement in Conferences and Workshops:
    • Participating more actively in international conferences and workshops, both in terms of presenting his research and engaging with the community, could help raise his profile as a leading researcher in the field of nanoelectronics and quantum computing.
    • While his publication record is strong, greater visibility through oral presentations and participation in workshops can stimulate further collaboration and attract external funding opportunities.
  3. Interdisciplinary Contributions:
    • While Vahabi has shown strength in interdisciplinary work, delving deeper into cross-disciplinary research, such as linking his work in nanoelectronics with emerging fields like artificial intelligence (AI) for optimizing QCA circuits or machine learning in biomedical applications (as demonstrated in his ECG arrhythmia detection work), could broaden the scope and impact of his research.
  4. Mentorship and Leadership Development:
    • Given his impressive research record, Vahabi could benefit from developing a more active role in mentoring younger researchers or graduate students. Engaging more deeply in supervisory roles and leading collaborative research projects would further solidify his leadership qualities in academia.

Education

  • Ph.D. in Electrical Engineering (2022 – Present)
    Shahrood University of Technology, Iran
    Thesis: Quantum and Molecular Electronic Devices
    Supervisor: Dr. Ehsan Rahimi
  • M.Sc. in Electrical Engineering (2014 – 2017)
    Islamic Azad University, Tehran, Iran
    Thesis: Designing a New Adder Based on Reversible Logic in Quantum Dot Cellular Automata Technology
    Supervisor: Dr. Amir Sabbagh Molahosseini
    GPA: 18.69/20 (1st Rank)
  • B.Sc. in Electrical Engineering (2010 – 2014)
    Islamic Azad University, Kerman, Iran
    Thesis: Efficient Design and Implementation of a Reversible Switched Network in Quantum Cellular Automata Technology

Research Focus

Mohsen Vahabi’s research focuses on the design and development of quantum-dot cellular automata (QCA) for low-power, high-efficiency nanoelectronic circuits. His work aims to push the boundaries of reversible logic and nanoelectronics, focusing on quantum and molecular electronic devices for future computing technologies. He is also exploring the application of quantum computing in medical signal processing, particularly for cardiac arrhythmia detection. His contributions to energy-efficient and power-dissipation analysis in QCA circuits are poised to revolutionize nanoelectronics, paving the way for more sustainable, scalable, and effective computing technologies in the future.

Publications

  1. Efficient Design and Implementation of a Reversible Switched Network in Quantum Cellular Automata Technology 📄
  2. A Novel QCA Circuit-Switched Network with Power Dissipation Analysis for Nano Communication Applications 🌐
  3. Novel Quantum-Dot Cellular Automata-Based Gate Designs for Efficient Reversible Computing ⚡
  4. Multimodal Neural Network for Recognition of Cardiac Arrhythmias Based on 12-Load Electrocardiogram Signals ❤️
  5. Novel Reversible Comparator Design in Quantum Dot-Cellular Automata with Power Dissipation Analysis 🔢
  6. Ultra-Low-Cost Design of Ripple Carry Adder to Design Nanoelectronics in QCA Nanotechnology 🧮
  7. Design and Implementation of New Coplanar FA Circuits Without NOT Gate and Based on Quantum-Dot Cellular Automata Technology 🛠
  8. Design and Implementation of Novel Efficient Full Adder/Subtractor Circuits Based on Quantum-Dot Cellular Automata Technology 🔧

Conclusion

Mohsen Vahabi has already established himself as a promising researcher with a strong academic background and a proven track record in nanoelectronics, quantum computing, and reversible logic design. His work demonstrates innovative thinking, an interdisciplinary approach, and a commitment to advancing quantum technologies. His high-quality publications, significant citations, and consistent performance in research highlight his potential to become a leading figure in his field.However, for Vahabi to further cement his place as a top researcher, there is room for broader application of his theoretical work, more active engagement in global scientific communities, and a greater focus on mentorship and leadership. Nevertheless, his current trajectory places him in strong contention for the Best Researcher Award, with the expectation that his future contributions will continue to drive innovation in both nanoelectronics and quantum technology.

Changqing Xia | Computer Science | Best Researcher Award

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Prof. Changqing Xia | Computer Science | Best Researcher Award

Researcher, Shen Zi Institute, Chinese Academy of Sciences, China

Dr. Changqing Xia is a leading researcher in the fields of cyber–physical systems, artificial intelligence (AI), and network computation. He has focused his career on advancing the integration of computing, communication, and control in smart manufacturing systems. Dr. Xia’s expertise lies in developing AI-driven solutions that optimize resource allocation, network scheduling, and real-time data management in industrial environments. With numerous publications in prestigious journals, Dr. Xia is at the forefront of intelligent system design and advanced production technologies.

Profile

Orcid

Strengths for the Award

Dr. Changqing Xia demonstrates outstanding contributions to the fields of cyber–physical systems (CPS), artificial intelligence, and network scheduling, particularly with a focus on industrial applications. His recent works such as Deterministic Network–Computation–Manufacturing Interaction Mechanism for AI-Driven Cyber–Physical Production Systems and Co-Design of Control, Computation, and Network Scheduling Based on Reinforcement Learning illustrate his innovative approach to merging computation with physical manufacturing environments. His expertise in using AI, reinforcement learning, and computational intelligence to improve production systems and real-time scheduling significantly advances the field. Moreover, his research on 5G-based positioning and data scheduling under mixed-criticality scenarios provides solutions to current industrial challenges, making him a forward-looking researcher whose work is at the cutting edge of smart manufacturing and industrial automation. His ability to integrate multiple domains such as control, communication, and computing positions him as a highly versatile and impactful researcher.

Areas for Improvement

While Dr. Xia’s research portfolio is robust, focusing on a broader application of his methodologies across different industries, outside of cyber-physical production systems, could further expand the impact of his work. His publications heavily concentrate on industrial environments, but applying his AI-driven methods to fields like healthcare, smart cities, or autonomous systems could diversify his research impact. Additionally, greater collaboration with other interdisciplinary fields could bring fresh perspectives and opportunities for expanding his work into more novel, groundbreaking areas. Another area of improvement could be increasing public engagement or educational outreach, which would help communicate his research more broadly to a non-specialist audience.

Publications Top Notes:

  1. Deterministic Network–Computation–Manufacturing Interaction Mechanism for AI-Driven Cyber–Physical Production Systems
    IEEE Internet of Things Journal (2024-05-15)
    DOI: 10.1109/JIOT.2024.3367350
  2. Co-Design of Control, Computation, and Network Scheduling Based on Reinforcement Learning
    IEEE Internet of Things Journal (2024-02-01)
    DOI: 10.1109/JIOT.2023.3305708
  3. A Self-Triggered Approach for Co-Design of MPC and Computing Resource Allocation
    IEEE Internet of Things Journal (2024)
    DOI: 10.1109/JIOT.2024.3392563
  4. Computational-Intelligence-Based Scheduling with Edge Computing in Cyber–Physical Production Systems
    Entropy (2023-12)
    DOI: 10.3390/e25121640
  5. Control–Communication–Computing Co-Design in Cyber–Physical Production System
    IEEE Internet of Things Journal (2023-03-15)
    DOI: 10.1109/JIOT.2022.3221932
  6. Indoor Fingerprint Positioning Method Based on Real 5G Signals
    Conference Paper (2023-01-05)
    DOI: 10.1145/3583788.3583819
  7. Mixed-Criticality Industrial Data Scheduling on 5G NR
    IEEE Internet of Things Journal (2022-06-15)
    DOI: 10.1109/JIOT.2021.3121251
  8. Real-Time Scheduling of Massive Data in Time Sensitive Networks With a Limited Number of Schedule Entries
    IEEE Access (2020)
    DOI: 10.1109/ACCESS.2020.2964690

Conclusion

Dr. Changqing Xia is a strong candidate for the “Best Researcher Award” due to his significant contributions to the fields of AI, network computation, and industrial CPS. His research innovations in optimizing industrial systems through cutting-edge computational and network scheduling methods provide solutions to contemporary challenges in smart manufacturing and data-intensive environments. With minor refinements in expanding his interdisciplinary reach and public engagement, Dr. Xia’s already impactful work could lead to even broader recognition in both the academic and industrial spheres. His achievements reflect not only technical depth but also practical applicability, making him highly deserving of this prestigious award.

Boris Menin | Information theory | Best Paper Award

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Dr. Boris Menin | Information theory | Best Paper Award

Beer-Sheva israel, Refrigeration Consultant, Israel

👨‍🔬 Boris Menin was born on July 13, 1951, in Saint Petersburg, Russia, and is an Israeli citizen. He has been residing in Israel since January 21, 1990, and currently works as a Mechanical & Refrigeration Consultant Expert in Beer-Sheva. With over four decades of experience in engineering and research, Boris has made significant contributions to the field of refrigeration technology, including numerous patents and publications. He is married with two children.

Profile

Orcid

Boris Menin’s extensive background in mechanical engineering, refrigeration technology, and theoretical modeling, coupled with his significant contributions to both academic and industrial research, makes him a strong candidate for a “Best Paper Award” in his field. Here’s a breakdown of the strengths, areas for improvement, and a conclusion regarding his suitability:

Strengths for the Award:

  1. Extensive Research Experience: Menin has a well-established research career, with a Ph.D. in Mechanical Engineering focused on heat and mass transfer, and decades of experience in the refrigeration industry. His work on developing and improving refrigeration systems and technologies has resulted in numerous patents and publications, demonstrating innovation and practical application.
  2. High-Impact Publications: Menin has published several papers in reputable journals and has authored multiple books. His recent work, particularly on cutting-edge technologies like thermal energy storage and information theory in physics, highlights his continued contribution to advancing scientific knowledge.
  3. Interdisciplinary Expertise: Menin’s research spans various fields, including mechanical engineering, thermodynamics, information theory, and even aspects of artificial intelligence. This interdisciplinary approach is a significant strength, as it demonstrates his ability to integrate concepts from different domains to address complex problems.
  4. Practical Impact: His work has practical implications, particularly in the design and development of industrial refrigeration systems, which are critical in various sectors. The application of his research in real-world scenarios enhances its relevance and impact.
  5. Recognition and Funding: Menin has received substantial grants from prestigious organizations like the EU and Israel’s Ministry of Industry, which further underscores the importance and recognition of his work in the scientific community.

Areas for Improvement:

  1. Focus on a Singular Research Area: While Menin’s interdisciplinary work is a strength, it can also be a weakness if it dilutes the focus of his research. Concentrating on a specific area or theme for his submissions to the “Best Paper Award” could make his contributions more coherent and impactful.
  2. Recent Publications: Although he has published recently, focusing on more groundbreaking or novel aspects of his research might enhance the impact of his submissions. Ensuring that his most recent work is aligned with the current trends and challenges in his field would be beneficial.
  3. Engagement with Current Research Communities: Active participation in recent conferences and collaborations with other researchers could further elevate the visibility and impact of his work. Engaging more with the global research community could provide opportunities for feedback and improvement.

Education

🎓 Boris Menin holds a Ph.D. in Mechanical Engineering with a specialization in Heat and Mass Transfer from the Technological Institute of Refrigeration Industry, St. Petersburg, Russia (1981). His thesis focused on the theoretical and experimental research of heat transfer in thin layer fish paste freezing in drum freezers. He also earned a Master of Science degree in Electrical Engineering from the Electro-Technical Communication Institute, St. Petersburg, Russia (1973), where his thesis was on the optimal discretization of signals.

Professional Experience

💼 Boris Menin has a robust career in both academia and industry. He has been a Mechanical & Refrigeration Consultant Expert in Beer-Sheva, Israel, since 2009. Previously, he served as the CTO and Deputy CEO of Crytec Ltd. (1999-2008) and held various research and development leadership roles, including Director of the Department of Research and Development at Ontec Ltd. (1992-1998). His early career included significant positions in the Soviet Union, such as Director of the Freezing Units Department at the State Research and Project Corporation of Fishing Industry in St. Petersburg.

Research Interests

🔬 Boris Menin’s research interests lie in refrigeration technology, particularly in the development of thermal energy storage systems, pumpable ice technology, and industrial liquid ice generators. He has extensively worked on the design, development, and testing of various refrigeration systems, including flake ice generators, drum freezers, and beverage cooler-dispensers. His recent work focuses on improving energy efficiency in refrigeration and air-conditioning systems.

Awards and Grants

🏆 Boris Menin has received several prestigious grants for his innovative work in refrigeration technology. Notable among them is the EU R&D FP6 program grant of €680,000 (2006-2008) for developing “Bubble Slurry Ice” technology. He also received a grant from the EUREKA program and the Chief Scientist Office of Israel’s Ministry of Industry, amounting to 998,000 NIS (2005-2006), for developing compact wiped surface crystallizer systems.

Publications Top Notes

📚 Boris Menin has an extensive list of publications, contributing significantly to the fields of mechanical engineering and refrigeration technology. Below are some of his recent works:

Menin, B. (2024). Innovative Technologies for Large-Scale Water Production in Arid Regions: Strategies for Sustainable Development. Journal of Applied Mathematics and Physics, 12(7), 2506-2558. Read here.

Menin, B. (2024). Unlocking the Universe: Cutting-edge Approaches to Discovering Extraterrestrial Life. Information Matters, 4(7). Read here.

Menin, B.M. (2024). Unveiling the Cosmos: A Multifaceted Search for Extraterrestrial Intelligence (SETI) in the Era of Advanced Technologies. European Journal of Science, Innovation and Technology, 4(3), 262-278. Read here.

Menin, B. (2024). Navigating Uncertainty: The Finite Information Quantity Approach to Objective Model Selection in Physics. Information Matters. Read here.

Menin, B. (2024). Objective Model Selection in Physics: Exploring the Finite Information Quantity Approach. Journal of Applied Mathematics and Physics, 12(5), 1848-1889. Read here.

Conclusion:

Boris Menin’s long-standing contributions to mechanical engineering and refrigeration technology, his interdisciplinary approach, and his continued innovation in the field make him a strong contender for a “Best Paper Award.” However, focusing his efforts on a specific research area and engaging more with the current scientific community could further strengthen his position as a leading researcher in his field.