Niloofar Akbariansaravi | Circular Economy | Best Academic Researcher Award

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Dr. Niloofar Akbariansaravi | Circular Economy | Best Academic Researcher Award

Postdoctoral Researcher | University of British Columbia | Canada

Dr. Niloofar Akbariansaravi is a Postdoctoral Research Fellow and Sessional Lecturer at the University of British Columbia (UBC) Okanagan, specializing in Applied Operations Research, Business Analytics, and Sustainable Supply Chain Management. She holds dual PhDs in Mechanical Engineering from UBC and Industrial Engineering from the University of Tehran, complemented by a master’s in Industrial Engineering and a bachelor’s degree from Ferdowsi University of Mashhad. Her professional experience spans academia, industry, and entrepreneurship, including leadership roles in collaborative sustainability projects with bioenergy, bioplastic, and sawmilling sectors, and the founding of SustainPro Solutions Inc., a UBC spin-off promoting circular economy analytics. Dr. Akbariansaravi’s research focuses on developing data-driven Decision Support Systems (DSS), multi-criteria optimization frameworks, and techno-economic sustainability models to support environmentally responsible manufacturing and supply chain practices. She has authored multiple refereed journal articles, book chapters, and international conference papers, earning recognition through awards such as the Best Student Paper at the IISE Conference and competitive research fellowships from UBC, MITACS, and Lab-to-Market Canada. As an educator and mentor, she has guided numerous graduate students and contributed to interdisciplinary teaching in analytics and sustainability. Her professional affiliations and achievements include serving as a journal reviewer, conference chair, Lean Six Sigma Black Belt certification holder, and active member of leading research networks advancing sustainable industrial systems worldwide.

Profile: Google Scholar

Featured Publications

1. Rabbani, M., Oladzad-Abbasabady, N., & Akbarian-Saravi, N. (2022). Ambulance routing in disaster response considering variable patient condition: NSGA-II and MOPSO algorithms. Journal of Industrial & Management Optimization, 18(2), 148.

2. Rabbani, M., Saravi, N. A., Farrokhi-Asl, H., Lim, S. F. W. T., & Tahaei, Z. (2018). Developing a sustainable supply chain optimization model for switchgrass-based bioenergy production: A case study. Journal of Cleaner Production, 200, 827–843.

3. Akbarian-Saravi, N., Mobini, M., & Rabbani, M. (2020). Development of a comprehensive decision support tool for strategic and tactical planning of a sustainable bioethanol supply chain: Real case study, discussions and policy implications. Journal of Cleaner Production, 244, 118871.

4. Rabbani, M., Mokarrari, K. R., & Akbarian-Saravi, N. (2021). A multi-objective location inventory routing problem with pricing decisions in a sustainable waste management system. Sustainable Cities and Society, 75, 103319.

5. Rabbani, M., Momen, S., Akbarian-Saravi, N., Farrokhi-Asl, H., & Ghelichi, Z. (2020). Optimal design for sustainable bioethanol supply chain considering the bioethanol production strategies: A case study. Computers & Chemical Engineering, 134, 106720.

Ramtin Moeini | Energy Production | Best Researcher Award

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Dr. Ramtin Moeini | Energy Production | Best Researcher Award

Associate Professor | University of Isfahan | Iran

Dr. Ramtin Moeini is an Associate Professor in the Department of Civil Engineering at the University of Isfahan, specializing in water engineering, hydraulic systems, and optimization of water and wastewater networks. He earned his B.Sc. in Civil Engineering from Isfahan University of Technology, followed by M.Sc. and Ph.D. degrees in Civil Engineering with a focus on Water Engineering from Iran University of Science and Technology, where his research concentrated on intelligent optimization algorithms for reservoir operation and network design. Dr. Moeini has extensive teaching experience across undergraduate, postgraduate, and Ph.D. programs in subjects including fluid mechanics, hydraulic structures, water resource system analysis, and municipal water management. His professional experience encompasses leading advanced research projects on reservoir operation, water distribution networks, and urban water management, often integrating meta-heuristic algorithms such as ant colony optimization, artificial bee colony, and hybrid computational models. He has authored numerous high-impact publications in internationally recognized journals, contributed to conference proceedings worldwide, and actively participates in research collaborations addressing water resources and hydraulic system optimization. Dr. Moeini has received multiple recognitions for his contributions, holds editorial and reviewer roles in leading journals, and is a member of professional engineering associations. His innovative work in modeling, simulation, and optimization has significantly advanced the design and management of water systems, According to Scopus, his research record includes 848 citations, 48 documents, and an h-index of 16.

Profiles: Scopus | ORCID

Featured Publications

1. (2025). Pressure management and energy production approaches in urban water distribution networks using pumps as turbines. Energy Reports.

2. (2025). Optimal operation of the non-drinking water distribution network considering future conditions: Case study of Isfahan University non-drinking water distribution network. Results in Engineering.

3. (2025). Graph theory-based algorithm to define district metered areas considering hydraulic conditions. Journal of Water Resources Planning and Management.

4. (2025). Quality simulation of dam reservoir using GP model: Case study of ZayandehRoud dam reservoir. International Journal of Environmental Science and Technology

Diana Berman | Tribology | Best Academic Researcher Award

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Assoc. Prof. Dr. Diana Berman | Tribology | Best Academic Researcher Award

Associate Professor | University of North Texas | United States

Dr. Diana Berman, Associate Professor in the Department of Materials Science and Engineering at the University of North Texas and Director of the Tribology Center at the Advanced Materials and Manufacturing Processes Institute, is a leading expert in functional nanostructured materials and tribology. She earned her Ph.D. and M.S. degrees in Physics from North Carolina State University and her B.S. in Applied Physics and Mathematics from the Moscow Institute of Physics and Technology. Her professional trajectory spans key research roles at Argonne National Laboratory and leadership in academia, where she has directed transformative projects on multicomponent ceramics, carbon-based materials, and advanced coating technologies for friction and wear reduction. Dr. Berman’s research focuses on synthesis, structure–property relationships, and environment–material interactions, with a prolific record of publications, patents, and invited talks contributing significantly to the advancement of superlubricity and nanomaterials. Her work has earned her numerous prestigious awards, including the NSF CAREER Award, Fulbright Distinguished Scholar Award, and recognition among the Top 2% of scientists worldwide. She actively serves on editorial boards such as Nature Scientific Reports and Tribology Letters, and holds leadership positions in professional organizations including the American Vacuum Society and the Society of Tribologists and Lubrication Engineers. A dedicated mentor and innovator, she has supervised graduate and undergraduate researchers, contributed to major research funding initiatives, and advanced international collaborations. Professionally: 7,091 Citations, Documents 119, Documents 33 in Scopus.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Berman, D., Erdemir, A., & Sumant, A. V. (2014). Graphene: A new emerging lubricant. Materials Today, 17(1), 31–42.

2. Berman, D., Deshmukh, S. A., Sankaranarayanan, S. K. R. S., Erdemir, A., & Sumant, A. V. (2015). Macroscale superlubricity enabled by graphene nanoscroll formation. Science, 348(6239), 1118–1122.

3. Berman, D., Erdemir, A., & Sumant, A. V. (2013). Few layer graphene to reduce wear and friction on sliding steel surfaces. Carbon, 54, 454–459.

4. Berman, D., Erdemir, A., & Sumant, A. V. (2013). Reduced wear and friction enabled by graphene layers on sliding steel surfaces in dry nitrogen. Carbon, 59, 167–175.

5. Berman, D., Erdemir, A., & Sumant, A. V. (2018). Approaches for achieving superlubricity in two-dimensional materials. ACS Nano, 12(3), 2122–2137.

 

Monika Sharma | Engineering | Best Academic Researcher Award

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Dr. Monika Sharma | Engineering | Best Academic Researcher Award

Associate Professor | The Technological Institute of Textile and Sciences | India

Dr. Monika Sharma, Associate Professor in the Department of Computer Science and Engineering at The Technological Institute of Textile & Sciences, Bhiwani, is a distinguished academic specializing in computer engineering with a strong focus on big data, computer networks, web engineering, and programming. She holds a Ph.D. and Pre-Ph.D. in Computer Engineering from Baba Mast Nath University, along with a Master of Technology in Computer Science and a Bachelor of Engineering in Information Technology, both with honors from Maharshi Dayanand University. With over seventeen years of teaching and mentoring experience, she has guided postgraduate scholars, supervised research projects, and actively contributed to academic leadership, including mentoring student societies and organizing technical events. Her research contributions span peer-reviewed journals and conference proceedings, complemented by authorship of book chapters and active engagement in professional development programs. She is a lifetime member of the Indian Society for Technical Education (ISTE) and an active member of the Association for Computing Machinery (ACM), with significant involvement in knowledge dissemination through guest lectures, workshops, and conferences. Dr. Sharma’s dedication to advancing knowledge and fostering academic excellence has earned her recognition as a respected educator and researcher. Her scholarly impact is demonstrated through 1,740 citations, 103 documents, and an h-index of 21, as indexed in Scopus.

Profile: Scopus

Featured Publications

1. Transition from hard to soft Co-Ni ferrites with Cr incorporation: Novel insights into cation distribution and ferromagnetic resonance. (2025). Journal of Magnetism and Magnetic Materials.

2. Indoor particle number concentration measurements across different income group households in urban region. (2025). Urban Climate.

3. A systematic study of polytypism in melt & solution grown crystals of cadmium iodide doped with anionic & cationic impurities. (2025). Journal of Theoretical and Applied Physics.

4. Impact of the odd–even scheme on particulate matter reduction in Delhi traffic intersections. (2025). Particulate Science and Technology.

5. Indoor air pollution and exposure analysis in different residential dwellings of a South Asian urban city. (2025). Particulate Science and Technology.

 

Liangliang Cai | Scanning Probe Microscopy | Best Researcher Award

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Assoc. Prof. Dr. Liangliang Cai | Scanning Probe Microscopy | Best Researcher Award

Associate Professor | Shanghai University | China

Prof. Liangliang Cai is an Associate Professor at the Materials Genome Institute, Shanghai University, specializing in surface science and on-surface synthesis of low-dimensional nanostructures. She received her PhD in Materials Science and Engineering from Tongji University, China, followed by a research fellowship in the Department of Physics at the National University of Singapore. Her professional experience encompasses leading advanced research projects, contributing to international collaborations, and serving on editorial boards, including the Journal of Materials Informatics. Dr. Cai’s research focuses on scanning probe microscopy, artificial intelligence in surface science, and precision fabrication of carbon nanostructures, with notable contributions in elucidating non-covalent interactions, activation of functional groups, and covalent couplings in on-surface reactions. She has authored 35 publications, including 12 in high-impact journals such as Nature Communications, J. Am. Chem. Soc., and Angew. Chem. Int. Ed., and contributed as first, co-first, or co-corresponding author to 11 papers, reflecting her leadership in the field. Her work has advanced fundamental understanding of reaction dynamics and enabled controlled synthesis of functional nanomaterials, recognized by the Ministry of Education Natural Science Award (2nd Class). She actively participates in peer review, mentorship, and international conferences, establishing herself as a leading researcher in materials science. Liangliang Cai’s scholarship has earned 1,159 citations across 36 documents in Scopus, with an h-index of 18.

Profiles: Scopus | ORCID

Featured Publications

1. Cai, L., Zhang, X., Lu, J., Xiang, J., Sun, Q., & Wee, A. T. S. (2025). Disorder−order transition of two-dimensional molecular networks by selenium doping. Chinese Chemical Letters. Advance online publication.

2. Cai, L., Gao, T., & Wee, A. T. S. (2024). Topology selectivity of a conformationally flexible precursor through selenium doping. Nature Communications, 15(1), Article 47614.

3. Cai, L. (2022). Supramolecular tiling of a conformationally flexible precursor. The Journal of Physical Chemistry Letters, 13(5), 1234–1240.

4. Yu, X., Sun, Q., Liu, M., Du, W., Liu, Y., Cai, L., Zha, Z., Pan, J., Kang, F., Gao, W., et al. (2022). Lattice-directed selective synthesis of acetylenic and diacetylenic organometallic polyynes. Chemistry of Materials, 34(4), 1567–1578.

Madhavarao Kulkarni | Computational Fluid Dynamics | Best Researcher Award

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Dr. Madhavarao Kulkarni | Computational Fluid Dynamics | Best Researcher Award

Assistant Professor | B.V.V.S Basaveshwara Science College | India

Dr. Madhavarao Kulkarni is an accomplished mathematician and Assistant Professor with expertise in Computational Fluid Dynamics at Karnatak University, Dharwad. He earned his Ph.D. in Computational Fluid Dynamics, focusing on mixed convection nanoliquid flows, from Karnatak University, following an M.Sc. in Mathematics from Central University of Karnataka and a B.Sc. in Physics, Chemistry, and Mathematics from J. S. S. College, Dharwad. Dr. Kulkarni has extensive professional experience as an Assistant Professor and CFD trainer, contributing to academic instruction in numerical methods, differential equations, complex analysis, and fluid dynamics, while leading projects and mentoring students in advanced computational techniques. His research focuses on nonlinear mixed convection, Newtonian and non-Newtonian nanofluid flows, magnetohydrodynamics, and numerical simulations using finite difference methods, resulting in significant contributions to high-impact journals including Chinese Journal of Physics, Arabian Journal for Science and Engineering, and Indian Journal of Physics. He has actively presented his work at national and international conferences, participated in specialized workshops, and serves as a reviewer for reputed journals. Dr. Kulkarni’s work advances theoretical and computational modeling of complex fluid systems, providing valuable insights into applied mathematics, engineering, and energy systems. His scholarship is recognized with substantial academic influence, reflected in a Scopus profile with 349 citations, 17 documents, and an h-index of 9.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Patil, P. M., & Kulkarni, M. (2021). Analysis of MHD mixed convection in a Ag-TiO₂ hybrid nanofluid flow past a slender cylinder. Chinese Journal of Physics, 73, 406–419.

2. Patil, P. M., Kulkarni, M., & Tonannavar, J. R. (2021). A computational study of the triple-diffusive nonlinear convective nanoliquid flow over a wedge under convective boundary constraints. International Communications in Heat and Mass Transfer, 128, 105561.

3. Patil, P. M., Kulkarni, M., & Hiremath, P. S. (2020). Effects of surface roughness on mixed convective nanofluid flow past an exponentially stretching permeable surface. Chinese Journal of Physics, 64, 203–218.

4. Patil, P. M., & Kulkarni, M. (2020). Nonlinear mixed convective nanofluid flow along moving vertical rough plate. Revista Mexicana de Física, 66(2), 153–161.

5. Patil, P. M., & Kulkarni, M. (2022). MHD quadratic mixed convective Eyring-Powell nanofluid flow with multiple diffusions. Chinese Journal of Physics, 77, 393–410.

Ali Alhaj | Cryogenic System Design | Best Researcher Award

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Dr. Ali Alhaj | Cryogenic System Design | Best Researcher Award

Research Scholar | University Of Hyderabad | India

Dr. Ali Nadim Alhaj, Teacher Assistant and PhD researcher at the University of Hyderabad, specializes in network security and software-defined networking (SDN) with expertise spanning cybersecurity, programming, artificial intelligence, and data analytics. He holds a PhD (pursuing) in Computer Science with specialization in Network Security, a Master’s in Cybersecurity from Marwadi University, and a Bachelor’s in Informatics Engineering from Tishreen University, where he graduated top of his class. His professional experience includes academic roles as a teaching assistant and assistant lecturer guiding students in programming, networking, and AI, as well as industry contributions as a front-end and Android developer for international projects, and as co-founder of an IT training center. His research focuses on advanced methods for SDN security, heavy hitter detection, and adaptive network monitoring, with multiple Scopus-indexed publications in Q1 and Q2 journals, along with a recent international patent in AI-based legal decision support systems. Beyond research, he has demonstrated leadership in academic labs, supported innovation-driven projects, and contributed to capacity-building in IT education. He has been recognized for academic excellence, serves as a contributor to peer-reviewed publications, and is a member of professional research networks. Professionally, his Scopus profile reflects 31 citations across 5 indexed documents with an h-index of 2.

Profiles: Scopus | ORCID

Featured Publications

Alhaj, A. N., Bhukya, W. N., & Lal, R. P. (2025). Adaptive network-wide superspreader detection using programmable switches. AEU – International Journal of Electronics and Communications.

Alhaj, A. N., Bhukya, W. N., & Lal, R. P. (2025, January 4). Advanced method for flow frequency estimation and Top-k heavy hitters detection in SDN leveraging programmable switch. In Proceedings of the 26th International Conference on Distributed Computing and Networking (ICDCN).

Alhaj, A. N., Patel, N. D., Singh, A., Bondugula, R. K., Dar, M. F., & Ahamed, J. (2024). Design and analysis of a robust security layer for software defined network framework. International Journal of Sensor Networks, 44(2), 119–129.

Alhaj, A. N., & Dutta, N. (2022). Analysis of security attacks in SDN network: A comprehensive survey. In K. Chaturvedi, V. Kumar, & A. Kumar (Eds.), Lecture Notes in Networks and Systems (Vol. 293, pp. 23–39). Springer.

Muhammad Bilal | Mathematical Physics | Best Researcher Award

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Dr. Muhammad Bilal | Mathematical Physics | Best Researcher Award

Researcher | Shanghai University | China

Dr. Muhammad Bilal, Postdoctoral Fellow at the School of Science, Shanghai University, is a distinguished mathematician specializing in applied mathematics with a focus on soliton theory, nonlinear wave phenomena, and qualitative analysis of nonlinear partial differential equations. He earned his Ph.D. in Applied Mathematics from Zhengzhou University, an M.Phil. in Mathematics from Minhaj University, and advanced degrees in Mathematics and Science Education from the University of the Punjab, building a strong academic foundation for his research career. His professional journey spans teaching, academic administration, and advanced research, where he has successfully led projects on the dynamical behavior of optical solitons, nonlinear wave structures, and complex dynamical models with applications in physics and engineering. Dr. Bilal’s research contributions are reflected in his extensive portfolio of high-impact publications across leading international journals, advancing theoretical and computational methods in mathematical physics. He is actively engaged in mentorship, scientific collaboration, and conference participation, strengthening global research networks. His scholarly achievements have been recognized through awards, professional certifications, and invitations to serve in collaborative and editorial capacities. With demonstrated expertise in mathematical modeling, stability analysis, bifurcation theory, and optical soliton dynamics, Dr. Bilal continues to contribute significantly to advancing mathematical sciences. He has earned wide recognition in the academic community with 2,230 Citations, 70 Documents, and an h-index of 30.

Profiles: Scopus | Google Scholar

Featured Publications

1. Bilal, M. (2025). Some novel optical pulses in hydrodynamical nonlinear complex equation using M-truncated fractional derivative. Scientific Reports. Advance online publication.

2. Bilal, M. (2025). Gross-Pitaevskii systems of fractional order with respect to multicomponent solitary wave dynamics. Scientific Reports. Advance online publication.

3. Bilal, M. (2025). On the study of multiple wave profiles and hybrid phenomena to the newly developed multi-component Gross-Pitaevskii system and stability analysis. Ain Shams Engineering Journal. Advance online publication.

4. Bilal, M. (2025). Analytical analysis of 2D couple stress flow of blood-based nanofluids with the influence of viscous dissipation over a stretching surface. Modern Physics Letters B. Advance online publication.

5. Bilal, M. (2025). Quantization of dissipative anisotropic harmonic oscillators. European Journal of Pure and Applied Mathematics. Advance online publication.

Abdullo Ahadov | Superconductivity | Best Researcher Award

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Mr. Abdullo Ahadov | Superconductivity | Best Researcher Award

PhD Candidate | Bukhara State Medical Institute | Uzbekistan

Mr. Abdullo Ahadov, Assistant Professor at Bukhara State Medical Institute, is a physicist specializing in condensed matter physics, theoretical physics, and the theory of superconductivity, with additional expertise in electronic, optical, and magnetic materials. He holds a Master’s degree in Physics from Bukhara State University, where he focused on challenges in hydrogen energy and superconductivity, and is currently pursuing a Ph.D. in Physics with research centered on pressure-induced variations in high-temperature superconductors within advanced theoretical frameworks. His academic foundation also includes a Bachelor’s degree in Management from Bukhara Engineering Technological Institute, complementing his interdisciplinary approach. Professionally, he has served as a physics teacher and now contributes to higher education and research through teaching, mentoring, and collaborative projects. His research addresses critical aspects of superconductivity, energy transfer, and structural materials, leading to multiple peer-reviewed publications in respected journals such as Brazilian Journal of Physics, European Physical Journal B, and Solid State Communications. He has made notable contributions to the understanding of pressure effects on superconducting critical temperatures, Casimir energy-induced superconductivity, and the interplay between hydrogen energy and superconductivity. Through his scholarly work and academic engagement, Ahadov continues to advance knowledge in theoretical and applied physics, fostering innovation and future applications in energy and material sciences. According to Scopus, he has 2 citations, 5 indexed documents, and an h-index of 1.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Ahadov, A., & Dzhuraev, D. (2025). Understanding and calculating the effects of uniaxial and hydrostatic pressure on the critical temperature of YBa₂Cu₃O₇−δ (Y-123) superconductor within the framework of the Casimir energy scenario and the Kempf equation. Solid State Communications.

2. Ahadov, A., & Dzhuraev, D. (2025). Uniaxial pressure derivatives of the critical temperature in Casimir energy-induced superconductivity. The European Physical Journal B.

3. Ahadov, A. (2023). Classification of modern superconductors and their theory based on thorough experiments conducted on cuprates. E3S Web of Conferences, 460, 07030.

Wenxin Li | Applied Superconductivity | Best Academic Researcher Award

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Dr. Wenxin Li | Applied Superconductivity | Best Academic Researcher Award

Assistant Researcher | Institute of Electrical Engineering | China

Dr. Wenxin Li, Assistant Researcher at the Institute of Electrical Engineering, Chinese Academy of Sciences, is a dedicated scholar whose expertise lies in applied superconductivity, focusing particularly on superconducting magnets, cables, and fault current limiters. He received his Ph.D. in high-temperature superconducting application technologies from Tianjin University, building a strong academic and technical foundation in cryogenic science and engineering. His professional career is marked by active participation in multiple high-impact projects funded by national and provincial agencies, including those under the National Key R&D Program of China and the National Natural Science Foundation of China. Through these initiatives, he has contributed to the design and optimization of next-generation superconducting systems aimed at improving the reliability, efficiency, and scalability of advanced power technologies. His research on superconducting energy storage and conversion devices has achieved international recognition, with one of his works highlighted by Advances in Engineering as a key scientific breakthrough. Wenxin Li has authored 39 peer-reviewed publications and is the holder of four patents, underscoring both his theoretical insight and practical innovation in the field. His service as a reviewer for prestigious journals, such as IEEE Transactions on Applied Superconductivity and Heliyon, reflects his standing in the global research community. His academic impact, according to Google Scholar, includes 322 citations, an h-index of 11, and an i10-index of 14.

Profile: Google Scholar

Featured Publications

1. Xin, Y., Li, W., Dong, Q., Yang, T., Tian, B., & Li, Q. (2020). Superconductors and Lenz’s law. Superconductor Science and Technology, 33(5), 055004.

2. Li, G., Li, C., Xin, Y., Hong, W., Li, W., Yang, T., & Li, B. (2021). Dynamic modelling methodology for an HTS energy converter using moving mesh. Superconductor Science and Technology, 34(10),

3. Li, W., Yang, T., Li, G., Lu, J., & Xin, Y. (2021). Experimental study of a novel superconducting energy conversion/storage device. Energy Conversion and Management, 243, 114350.

4. Zhang, H., Yang, T., Li, W., Xin, Y., Li, C., Iacchetti, M. F., Smith, A. C., & Mueller, M. (2022). Origin of the anomalous electromechanical interaction between a moving magnetic dipole and a closed superconducting loop. Superconductor Science and Technology, 35(4), 045009.

5. Wen, Y., Xin, Y., Hong, W., Zhao, C., & Li, W. (2020). Comparative study between electromagnet and permanent magnet rails for HTS maglev. Superconductor Science and Technology, 33(3), 035011.