Ammar Khaleel | Research Excellence | Research Excellence Award

Mr. Ammar Khaleel | Research Excellence | Research Excellence Award

Széchenyi István Egyetem | Hungary

Ammar Khaleel is a PhD student in Computer Science at Széchenyi István Egyetem, specializing in intelligent and autonomous transportation systems. His research focuses on reinforcement learning–based decision making for autonomous vehicles, with particular emphasis on autonomous driving and lane-changing strategies. He has strong expertise in deep reinforcement learning methods such as DDPG and PPO, as well as Model Predictive Control. Ammar actively works with traffic simulation environments using SUMO and the TraCI Python API to model and evaluate complex traffic scenarios. His technical skills include Python and C/C++, along with experience in Git, LaTeX, and scientific software tools.

Citation Metrics (Scopus)

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Featured Publications


A Multi-Levels RNG Permutation

– Indonesian Journal of Electrical Engineering and Computer Science


A New Permutation Method for Sequence of Order 28

– Journal of Theoretical and Applied Information Technology


N/A and Signature Analysis for Malwares Detection and Removal

– Indian Journal of Science and Technology

Mark Butlin | Research Excellence | Research Excellence Award

Dr. Mark Butlin | Research Excellence | Research Excellence Award

University of Southern Queensland | Australia

Mark Andrew Butlin is an accomplished education law academic and practitioner with extensive experience across tertiary and secondary education. He is a senior academic at the University of Southern Queensland, specialising in education law, teacher accountability, duty of care, assessment, and professional ethics. His expertise is widely recognised through expert witness engagements, legal consultations, media commentary, and advisory roles for schools, law firms, and government-related matters. He has authored influential books, journal articles, and chapters on education law and ethics, and regularly delivers professional learning for educators and leaders. He is actively involved in professional associations, governance committees, and higher degree research supervision.


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Mohamad Mousavi | Research Excellence | Research Excellence Award

Prof. Mohamad Mousavi | Research Excellence | Research Excellence Award

University of Tehran | Iran

Professor Mohammadali Ebrahimzadeh Mousavi is a leading expert in food science, biotechnology, and food engineering, affiliated with the University of Tehran. His work integrates advanced food processing, packaging technologies, rheology, mass and heat transfer modeling, and functional food development. He has made significant contributions to plant-based products, bioactive compounds, food hydrocolloids, encapsulation systems, and sustainable food technologies. Alongside extensive teaching at undergraduate, master’s, and doctoral levels, he has held numerous senior academic, policy-making, and industrial advisory roles. His research output, high citation impact, and technology transfer activities demonstrate strong influence in both academia and industry.

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Mohd Khaled Shambour | Computational Science | Research Excellence Award

Prof. Mohd Khaled Shambour | Computational Science | Research Excellence Award

Middle East University | Jordan

Mohd-Khaled Yousef Shambour is a Jordanian professor specializing in Intelligent System Techniques, optimization, and artificial intelligence. He holds a PhD in Intelligent Systems and advanced degrees in computer science, with extensive academic, research, and teaching experience across Jordan and Saudi Arabia. His research focuses on meta-heuristic and evolutionary optimization, data science, scheduling, and deep learning, with strong applications to large-scale real-world problems such as transportation, airport slot scheduling, resource allocation, and mega-event management. He has led and contributed to impactful community-oriented research, particularly in improving services for pilgrims during Hajj and Umrah using AI and data analytics. Prof. Shambour has published widely in high-quality international journals and conferences and serves as an associate editor and reviewer for leading scientific publishers. An experienced educator, he teaches courses spanning AI, machine learning, optimization, data analytics, and programming, and actively contributes to academic service, professional societies, and community development.

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Antonella Frassanito | Research Excellence | Best Researcher Award

Dr. Antonella Frassanito | Research Excellence | Best Researcher Award

Dr. Antonella Frassanito | Sapienza University of Rome | Italy 

Dr. Antonella Frassanito is an accomplished Italian pediatrician and pediatric pulmonologist with extensive clinical, academic, and research experience spanning nearly two decades. Born in Cosenza, she earned her Medical Degree with honors from Sapienza University of Rome, followed by specialization in Pediatrics, summa cum laude) and advanced master’s degrees in Pediatric Pneumology and Healthcare Management. She also holds certifications in pediatric emergency, life support, pediatric ultrasound, and European pediatric life support. Dr. Frassanito has built a robust clinical career across major Italian healthcare institutions, including Umberto I General Hospital, Bambino Gesù Children’s Hospital, and San Camillo de Lellis Hospital. she has served as a Medical Manager at the Pediatric Emergency and Short Observation Unit of the Maternal-Infant and Urologic Sciences Department in Rome. She has been a practicing pediatrician in nursery settings and actively substitutes for pediatricians. In academia, she has taught in the Pediatric Emergency Master’s Program and the Nursing Science Course at Sapienza University. Her research focuses on bronchiolitis, respiratory infections, bronchoscopy, pertussis, primary ciliary dyskinesia, and pediatric respiratory function. She has contributed to numerous national and international studies, including multicenter projects funded by SIMRI and Sapienza University. Dr. Frassanito is a member of the Italian Society of Pediatrics, SIMRI, and the European Respiratory Society. She serves on editorial boards and is a peer reviewer for international journals. She has presented extensively at major conferences, chaired sessions at ERS congresses, and delivered invited lectures on bronchiolitis, pneumonia, respiratory microbiota, and pediatric emergency topics. Her work has earned multiple SIMRI awards and scholarships recognizing excellence in pediatric respiratory research. Through her clinical leadership, scientific contributions, and educational roles, Dr. Frassanito continues to play a significant role in advancing pediatric respiratory medicine in Italy and beyond.

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Featured Publications

Congenital Tracheal Stenosis: Two Case Reports and Literature Review Matera, L., Nenna, R., Frassanito, A., Conti, M. G., Petrarca, L., Mancino, E., Di Mattia, G., La Regina, D. P., Iovine, E., Virgili, F., Spatuzzo, M., & Midulla, F. (2024). Congenital tracheal stenosis: Two case reports and literature review. Current RespiratoryMedicineReviews,20(4),351354.
https://doi.org/10.2174/011573398X282374240227040922

A Single Center Observational Study on Clinical Manifestations and Associated Factors of Pediatric Long COVID Mancino, E., Nenna, R., Matera, L., La Regina, D. P., Petrarca, L., Iovine, E., Di Mattia, G., Frassanito, A., Conti, M. G., Bonci, E., Spatuzzo, M., Ialongo, S., Zicari, A. M., Spalice, A., & Midulla, F., on behalf of the Long Covid Research Group. (2023). A single center observational study on clinical manifestations and associated factors of pediatric Long COVID. International Journal of Environmental Research and Public Health, 20(18), 6799. https://doi.org/10.3390/ijerph20186799

An Italian Multicenter Study on the Epidemiology of Respiratory Syncytial Virus During SARS-CoV-2 Pandemic in Hospitalized Children Nenna, R., Matera, L., Licari, A., Manti, S., Di Bella, G., Pierangeli, A., Palamara, A. T., Nosetti, L., Leonardi, S., Marseglia, G. L., & Midulla, F., for the ICHRIS Group. (2022). An Italian multicenter study on the epidemiology of respiratory syncytial virus during SARS-CoV-2 pandemic in hospitalized children. Frontiers in Pediatrics, 10, 930281. https://doi.org/10.3389/fped.2022.930281

Tang Qingjun | Scientific Breakthroughs | Best Researcher Award

Assoc. Prof. Dr. Tang Qingjun | Scientific Breakthroughs | Best Researcher Award

Assoc. Prof. Dr. Tang Qingjun | Technical Institute of Physics and Chemistry, Chinese Academy of Sciences | China

This research portfolio centers on advancing space thermal control and cryogenic refrigeration technologies, with significant emphasis on precision temperature management, lightweight system design, and enhanced performance for scientific payloads in orbit. The work covers key technological domains such as flexible heat transfer, thermal matching for low-temperature devices, insulation support structures, contamination control, and integrated thermal–mechanical engineering for spacecraft. A major focus of the research involves developing high-precision low-temperature control systems for space missions, enabling stable operation of sensitive optical payloads in complex orbital environments. Through comprehensive mastery of mechanics, thermodynamics, electromagnetics, and automated temperature regulation, several critical engineering challenges were overcome. These include improving temperature stability, reducing micro-vibration output, and optimizing thermal interfaces for high-performance detection instruments. The resulting technologies enhanced the scientific capabilities of spaceborne payloads and earned recognition from international experts in spacecraft engineering. Another central contribution lies in the development of lightweight pulse tube cryocoolers for space applications. Under major scientific and engineering programs, extensive basic and applied studies were conducted to design and optimize compact refrigeration systems. A series of prototypes was successfully built, achieving significant reductions in mass while preserving cooling capacity, operational lifespan, and structural robustness. These innovations contribute to next-generation spacecraft refrigeration solutions, supporting advanced astronomical observations and deep-space scientific missions. The research integrates theoretical modeling, high-frequency performance analysis, experimental verification, and system-level optimization. Publications include studies on coaxial and single-stage pulse tube cryocoolers, micro-scale units capable of reaching extremely low temperatures, inertance tube phase-shifting characteristics, multi-cold-finger systems, and thermo-mechanical behavior of cryogenic components. The work has appeared in leading scientific journals and international conferences covering thermal engineering, cryogenics, refrigeration science, and astronomical instrumentation. Collectively, these contributions advance cutting-edge cryogenic and thermal control technologies essential to modern space science, supporting higher-accuracy payloads, more efficient cooling solutions, and improved performance of future spacecraft systems.

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Featured Publications

Liu, C., Tian, B., Ma, J., Niu, Y., Tang, Q., Ma, Y., & Cai, J. (2025). Experimental investigation of a single-stage micro pulse tube cryocooler operating at 59 Hz with liquid nitrogen precooling: Achieving 14.8 K under 5 W input power. International Journal of Refrigeration.

Tian, B., Liu, C., Ma, J., Niu, Y., Tang, Q., Ma, Y., & Cai, J. (2025). Investigation on a micro pulse tube cryocooler operating at 152 Hz. Cryogenics.

Maria Pinelli | Research Excellence | Best Researcher Award

Dr. Maria Pinelli | Research Excellence | Best Researcher Award

Dr. Maria Pinelli | Radboud University Medical Center | Italy

Dr. Maria Pinelli is an Assistant Professor Junior (RTDa) at the Politecnico di Milano (Italy) in the Department of Management, Economics, and Industrial Engineering (ING-IND/35). Her academic and research work focuses on technological innovation in healthcare, with particular attention to Health Technology Assessment (HTA), innovation management in hospitals, and the integration of scanning and assessment processes to enhance healthcare value creation. She earned her Ph.D. from Politecnico di Milano in 2025 with a thesis titled “MedTech Innovation in Hospitals: Re-Framing the Integration between Scanning and Assessment and the Determinants of Value.” During her doctoral studies, she was a Visiting Ph.D. Student at Radboud University (Netherlands), collaborating on international research exploring hospital technology strategies. Her academic background also includes a Master’s Degree in Management Engineering with specialization in Sustainable Operations Management and Social Innovation and a Bachelor’s Degree in Industrial Engineering, both completed with honors. Dr. Pinelli has published extensively in high-impact international journals such as Health Policy, Technological Forecasting and Social Change, PLOS ONE, IEEE Journal of Translational Engineering in Health and Medicine, and IJERPH. Her works contribute to understanding the strategic, clinical, and socio-economic evaluation of medical technologies and the role of digital transformation and sustainability in healthcare systems. She has been actively involved in teaching and coordinating courses such as Innovation in Health and Social Care, Healthcare Management, and Economia e Organizzazione Aziendale at Politecnico di Milano and Humanitas University. Her contributions extend to international conferences, including EURAM, ISPOR, IPDMC, and Health Technology Assessment International, where she presented cutting-edge research on hospital innovation, inclusive healthcare technologies, and decision-making frameworks. Dr. Pinelli also serves as a reviewer for several leading journals, including the Journal of Medical Internet Research and Health Services Management Research. Beyond academia, she has contributed to practitioner conferences addressing the impact of AI and MedTech innovation in healthcare. Through her multidisciplinary expertise, international collaboration, and commitment to advancing healthcare innovation, Dr. Maria Pinelli represents a new generation of scholars bridging management engineering and medical technology for sustainable, patient-centered care.

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Featured Publications 

Pinelli, M., Moglia, A., Marsilio, L., Rossi, M., Lettieri, E., Mainardi, L., & Manzotti, A. (2023). Mixed reality and artificial intelligence: A holistic approach to multimodal visualization and extended interaction in knee osteotomy. IEEE Journal of Translational Engineering in Health and Medicine, 10. https://doi.org/10.1109/JTEHM.2023.3335608

Pinelli, M., Manetti, S., & Lettieri, E. (2023). Assessing the social and environmental impact of healthcare technologies: Towards an extended social return on investment. International Journal of Environmental Research and Public Health, 20(6), 5224. https://doi.org/10.3390/ijerph20065224

Di Francesco, A., Pinelli, M., Lettieri, E., Toletti, G., & Galli, M. (2023). Towards a more inclusive society: The social return on investment (SROI) of an innovative ankle–foot orthosis for hemiplegic children. Sustainability, 15(5), 4361. https://doi.org/10.3390/su15054361

Pinelli, M., Gerardi, C., Lettieri, E., Maioru, M., Marone, L., Bertoldi, L., Navanteri, G., Costantini, M., Botti, C., & Pellini, F. (2024). Comparison of indocyanine green with conventional tracers for sentinel lymph node biopsy in breast cancer: A multidisciplinary evaluation of clinical effectiveness, safety, organizational and economic impact. PLOS ONE, 19(8), e0309336. https://doi.org/10.1371/journal.pone.0309336

Pinelli, M., Lettieri, E., Boaretto, A., Casile, C., Citro, G., Zazzaro, B., & Ravazzoni, A. (2022). Glucometer usability for 65+ type 2 diabetes patients: Insights on physical and cognitive issues. Sensors, 22(16), 6202. https://doi.org/10.3390/s22166202

Yong Liu | Research Excellence | Innovative Research Award

Assoc. Prof. Dr. Yong Liu | Research Excellence | Innovative Research Award

Assoc. Prof. Dr Yong Liu | Tianjin University | China

Dr. Yong Liu is an Associate Professor at the School of Electrical and Information Engineering, Tianjin University, China. With an extensive record of scholarly contributions, he has authored and co-authored over 100 technical papers, three books or book chapters, and more than 50 patents in electrical engineering. His research primarily focuses on ageing evaluation, defect diagnosis, and performance monitoring of outdoor insulators and power cables under complex atmospheric and electrical conditions. Dr. Liu’s pioneering work integrates advanced sensing technologies, signal processing, and artificial intelligence to improve the reliability and safety of high-voltage power transmission systems. His studies on leakage current characteristics, surface discharges, and magnetic field-based condition evaluation have significantly advanced diagnostic techniques for high-voltage alternating current (HVAC) and direct current (HVDC) equipment. Notable recent contributions include research on multi-scale leakage current feature extraction using graph neural networks, magnetic field feature analysis for power cable evaluation, and dynamic discharge behavior of ice-covered insulators under DC voltages. He has made substantial progress in understanding the electro-thermal and mechanical ageing mechanisms of polymeric insulators and cables, developing novel monitoring strategies and predictive models for insulation failure. His publications in leading journals such as IEEE Transactions on Dielectrics and Electrical Insulation, IEEE Access, Energies, and Polymers demonstrate his sustained excellence and influence in high-voltage engineering and applied materials science. As a member of the Chinese Society for Electrical Engineering (CSEE) and the Institute of Electrical and Electronics Engineers (IEEE), Dr. Liu actively contributes to international collaboration and academic exchange. His innovative research continues to support the development of smart grid technologies, advanced cable diagnostics, and climate-resilient power systems, positioning him as a leading scholar in electrical insulation and power engineering research.

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Featured Publications 

Liu, Y., Lin, M., Wei, H., Duan, X., Li, Z., & Fu, Q. (2025). Cable outer sheath defect identification using multi-scale leakage current features and graph neural networks. Energies, 18(21), 5687. https://doi.org/10.3390/en18215687

Liu, Y., Wang, M., Huang, Y., Han, T., & Du, B. (2024). Feature extraction of magnetic field for condition evaluation of HVAC power cable. IEEE Transactions on Dielectrics and Electrical Insulation. https://doi.org/10.1109/TDEI.2023.3342774

Liu, Y., Li, C., Yin, F., Du, B. X., & Farzaneh, M. (2024). Nonlinear traits of leakage current and dynamic actions of surface discharges on ice-covered insulators under DC voltages. IEEE Transactions on Dielectrics and Electrical Insulation. https://doi.org/10.1109/TDEI.2024.3373549

Liu, Y., Guo, Y., Wang, B., Li, Q., Gao, Q., & Wan, Y. (2024). Research on influencing factors and wind deflection warning of transmission lines based on meteorological prediction. Energies, 17(11), 2612. https://doi.org/10.3390/en17112612

Liu, Y., Xin, Y., Huang, Y., Du, B., Huang, X., & Su, J. (2024). Optimal design and development of magnetic field detection sensor for AC power cable. Sensors, 24(8), 2528. https://doi.org/10.3390/s24082528

Liu, Y., Xin, Y., Du, B., Huang, X., & Su, J. (2024, March 22). Optimal design and development of magnetic field detection sensor for AC power cable [Preprint]. Preprints. https://doi.org/10.20944/preprints202403.1352.v1

Vandi Dlama Kamaunji | Research Excellence | Best Researcher Award

Dr. Vandi Dlama Kamaunji | Research Excellence | Best Researcher Award

Dr. Vandi Dlama Kamaunji | Tyeeli New Energy Company Limited | Nigeria

Dr. Vandi Dlama Kamaunji is a geologist and geochemist with a strong background in mineral exploration, petrology, geochemistry, and geological mapping. His professional experience spans academic, industrial, and research roles, focusing on the geological evolution, petrogenesis, and mineralization of alkaline and peralkaline complexes in Nigeria and China. He has served as an Exploration/Resource Geologist at Wanrun Mining Company Limited, where he led geological field surveys, core logging, mineral resource estimations, and geophysical data interpretation to support mineral exploration and development projects. His work also included environmental impact assessments, data management, and regulatory compliance. Previously, as a Part-Time Lecturer at Adamawa State University, he delivered courses in ore deposits and geochemistry, supervised research projects, and contributed to curriculum development and academic mentorship. Earlier in his career, he held a leadership role as Head of Geology at L&T Hydrogeo-Engineering Company, where he conducted geophysical surveys, oversaw mineral exploration operations, and managed multidisciplinary geological teams. Dr. Kamaunji’s research contributions include multiple publications in high-impact international journals such as Lithos, International Geology Review, Geological Journal, and Journal of African Earth Sciences. His studies cover diverse topics such as tectonomagmatic processes, isotopic geochemistry, remote sensing applications, and mineral resource potential in Nigeria’s basement complexes and ring structures. His scientific expertise encompasses mineralogy, isotope and trace-element geochemistry, ore deposit modeling, and analytical techniques such as EPMA, LA-ICP-MS, ICP-MS, XRF, and SEM. He is actively engaged in international collaborations and professional organizations, including the International Association of Geochemistry, European Association of Geochemistry, Society of Economic Geologists, and the Nigerian Mining and Geoscience Society. Dr. Kamaunji has received several academic and merit awards, including the Excellent Graduate Award (Ph.D.) and the Excellent Master’s Dissertation Award from the China University of Geosciences, as well as the prestigious Chinese Government Scholarships for both his Master’s and Doctoral studies.

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Featured Publications

Kamaunji, V. D., Wang, L. X., Ahmed, H. A., Zhu, Y. X., Vincent, V. I., & Girei, M. B. (2020). Coexisting A1 and A2 granites of Kudaru Complex: Implications for genetic and tectonic diversity of A-type granite in the Younger Granite Province, north-central Nigeria. International Journal of Earth Sciences, 109(2), 511–535. https://doi.org/10.1007/s00531-020-01818-8

Kamaunji, V. D., Wang, L. X., Ma, C. Q., Liu, J., & Zhu, Y. X. (2021). Petrogenesis and tectonic implication of the Permian–Triassic syenogranites from the eastern segment of the East Kunlun Orogen, China. Lithos, 402, 105932. https://doi.org/10.1016/j.lithos.2020.105932

Vincent, V. I., Wang, L. X., Zhu, Y. X., Kamaunji, V. D., Ahmed, H. A., Ntekim, E. E., & Cao, L. (2022). Onset of the anorogenic alkaline magmatism in the Nigerian Younger Granite Province: Constraints from the Daura and Dutse complexes. Lithos, 410, 106561. https://doi.org/10.1016/j.lithos.2021.106561

Vincent, V. I., Li, H., Girei, M. B., Förster, M. W., & Kamaunji, V. D. (2023). Tourmaline and zircon trace the nature and timing of magmatic-hydrothermal episodes in granite-related Sn mineralization: Insights from the Libata Sn ore field. American Mineralogist, 108(3), 552–571. https://doi.org/10.2138/am-2023-8334

Ahmed, H. A., Wang, L. X., Ma, C. Q., Abdallsamed, M. I. M., Girei, M. B., Zhu, Y. X., Vincent, V. I., & Kamaunji, V. D. (2021). Contrasting Neoproterozoic and Mesozoic granitoids in Zaranda Complex (Nigeria): Insights into the distinct origins, tectonic settings, and mineralization potential. International Journal of Earth Sciences, 110(4), 1389–1413. https://doi.org/10.1007/s00531-021-02021-z

 

Alexander Migdal | Scientific Breakthroughs | Best Researcher Award

Prof. Alexander Migdal | Scientific Breakthroughs | Best Researcher Award 

Prof. Alexander Migdal | Institute for Advanced Study | United States

Alexander A. Migdal is a renowned theoretical physicist with a lifetime of pioneering contributions to mathematical and theoretical physics. Currently a Member of the School of Mathematics at the Institute for Advanced Study, Princeton, he has advanced key areas of physics including quantum field theory, gauge theory, turbulence, and quantum gravity. Educated at the Landau Institute for Theoretical Physics, Migdal has held leading academic positions at prestigious institutions such as Princeton University and New York University. His groundbreaking work includes the Migdal–Kadanoff recursion equations, the Makeenko–Migdal loop equations in large-N QCD, the matrix model solution of two-dimensional quantum gravity, and recent advances in the exact solution of turbulence. Internationally recognized for his achievements, he has received distinguished honors such as the Landau–Weizmann Award and has delivered invited lectures across the globe, continuing to shape modern physics and inspire new generations of researchers.

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Featured Publications

Migdal, A. (2025). Spontaneous quantization of the Yang–Mills gradient flow. Nuclear Physics B. Advance online publication.

Migdal, A. (2025). Duality of Navier–Stokes to a one-dimensional system. International Journal of Modern Physics A. Advance online publication.

Migdal, A. (2024, December 23). Fluid dynamics duality and solution of decaying turbulence. Preprints.

Migdal, A. (2024, November 12). Duality of the Navier–Stokes dynamics and lack of finite-time explosion (Version 2). Preprints.

Migdal, A. (2024, November 5). Duality of the Navier–Stokes dynamics and lack of finite-time explosion (Version 1). Preprints.

Migdal, A. (2024). Quantum solution of classical turbulence: Decaying energy spectrum. Physics of Fluids, 36(9), 095117.

Migdal, A. (2024, August 4). Quantum solution of classical turbulence: Decaying energy spectrum (Version 3). Qeios.

Migdal, A. (2024, July 9). Quantum solution of classical turbulence: Decaying energy spectrum (Version 14). Preprints.

Migdal, A. (2024, July 9). Quantum solution of classical turbulence: Decaying energy spectrum (Version 2). Qeios.

Migdal, A. (2024, July 3). Quantum solution of classical turbulence: Decaying energy spectrum. Qeios.

Migdal, A. (2024, June 3). Quantum solution of classical turbulence: Decaying energy spectrum (Version 12). Preprints.

Migdal, A. (2024, May 6). Quantum solution of classical turbulence: Decaying energy spectrum (Version 11). Preprints.