Seyyed Javad Hosseini-Vashan | Research Excellence | Research Excellence Award

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Assoc. Prof. Dr. Seyyed Javad Hosseini-Vashan | Research Excellence | Research Excellence Award

Assoc. Prof. Dr. Seyyed Javad Hosseini-Vashan | University of Birjand | Iran

Dr. Seyyed Javad Hosseini-Vashanis an Associate Professor of Animal Science at the University of Birjand, specializing in Poultry Science and Poultry Nutrition. With an academic path beginning with a diploma in Natural Sciences and progressing through B.Sc. and M.Sc. degrees in Animal and Poultry Science from the University of Birjand, followed by a Ph.D. in Poultry Science from Ferdowsi University of Mashhad, he has built a strong research portfolio in poultry nutrition, antioxidant strategies, heat-stress mitigation, feed additives, and improvement of poultry performance, immunity, lipid metabolism, skeletal health, intestinal morphology, and meat quality. His M.Sc. and Ph.D. dissertations focused on enriching egg yolk n-3 fatty acids and evaluating natural antioxidants in diets containing vegetable oils and tallow under heat stress in Arian broilers. Since joining academia in , Dr. Hosseini-Vashan has held key administrative roles as Head of the Animal Science Department and Head of the Animal Science Research Laboratory, and has served as Secretary of the First National Congress on Advances in Animal Sciences. He is an active member of several professional bodies including WPSA and the Iran Genetics Association. His teaching portfolio spans Poultry Production, Poultry Health, Nutrition, Biochemistry, Physiology, Diet Formulation, and Advanced Bioenergetics. He has authored numerous conference papers and peer-reviewed journal publications in prestigious Iranian and international journals, addressing nutritional interventions such as pomegranate peel, tomato pomace, turmeric, grape pomace, hempseed, nanoselenium, saffron petal extract, and functional feed additives in poultry and ostrich production systems. His research consistently emphasizes enhancing animal health and productivity under challenging environmental conditions, especially heat stress, and exploring natural, cost-effective, and sustainable dietary solutions for the modern poultry industry.

Profile: Google Scholar

Featured Publications

Hosseini-Vashan, S. J., Golian, A., & Yaghobfar, A. (2016). Growth, immune, antioxidant, and bone responses of heat stress-exposed broilers fed diets supplemented with tomato pomace. International Journal of Biometeorology, 60(8), 1183–1192.

Hosseini-Vashan, S. J., Golian, A., Yaghobfar, A., Zarban, A., Afzali, N., & … (2012). Antioxidant status, immune system, blood metabolites and carcass characteristic of broiler chickens fed turmeric rhizome powder under heat stress. African Journal of Biotechnology, 11(94), 16118–16125.

Safdari-Rostamabad, M., Hosseini-Vashan, S. J., Perai, A. H., & Sarir, H. (2017). Nanoselenium supplementation of heat-stressed broilers: Effects on performance, carcass characteristics, blood metabolites, immune response, antioxidant status, and jejunal morphology. Biological Trace Element Research, 178(1), 105–116.

Hosseini-Vashan, S. J., Safdari-Rostamabad, M., Piray, A. H., & Sarir, H. (2020). The growth performance, plasma biochemistry indices, immune system, antioxidant status, and intestinal morphology of heat-stressed broiler chickens fed grape (Vitis vinifera) pomace. Animal Feed Science and Technology, 259, 114343.

Sharifian, M., Hosseini-Vashan, S. J., Nasri, M. H. F., & Perai, A. H. (2019). Pomegranate peel extract for broiler chickens under heat stress: Its influence on growth performance, carcass traits, blood metabolites, immunity, jejunal morphology, and meat quality. Livestock Science, 227, 22–28.

Hosseini-Vashan, S. J., & Raei-Moghadam, M. S. (2019). Antioxidant and immune system status, plasma lipid, abdominal fat, and growth performance of broilers exposed to heat stress and fed diets supplemented with pomegranate pulp. Journal of Applied Animal Research, 47(1), 521–531.

Eric Howard | Research Excellence | Research Excellence Award

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Dr. Eric Howard | Research Excellence | Research Excellence Award

Dr. Eric Howard | Macquarie University | Australia

Dr. Eric Howard is an accomplished academic leader, researcher, and innovator with nearly three decades of combined experience across computational physics, astronomy, quantum computing, data science, and cybersecurity. He has made influential contributions through teaching, curriculum design, research supervision, and interdisciplinary program development across multiple higher-education sectors. His academic leadership includes directing programs and advancing pedagogical frameworks for undergraduate, postgraduate, and MBA-level studies. Dr. Howard’s research portfolio reflects significant advancements in emerging technologies. His completed and ongoing projects span quantum machine learning for fraud detection, hybrid quantum-classical neural networks for intrusion detection, quantum Bayesian inference models, variational simulations of molecular ground states, holographic beam shaping with AI optimization, and quantum graph neural networks for complex systems. He has published more than sixty peer-reviewed papers in respected SCI and Scopus-indexed journals, covering quantum information science, artificial intelligence, cosmology, cryptography, and computational physics. He also contributes to global scholarship as an editor for international journals in physics and theoretical mathematics, while serving as a peer reviewer for prominent scientific publishers and organizations. In addition, Dr. Howard maintains strong collaborative ties with national research institutes, quantum technology networks, and centers of excellence, advancing high-impact interdisciplinary projects. In industry, Dr. Howard has demonstrated entrepreneurial leadership as CEO of companies specializing in AI-powered cybersecurity and data-driven digital automation. His consultancy experience includes developing secure e-learning ecosystems, threat intelligence platforms, cloud security frameworks, and advanced analytics solutions for enterprise and academic clients. Dr. Howard’s key contributions include pioneering quantum-enhanced cybersecurity models, designing AI-driven threat intelligence frameworks, and leading competitive grant-funded projects in quantum sensing, VQE simulations, and digital security. His sustained commitment to innovation, mentorship, and research excellence underscores his significant impact on scientific, technological, and educational advancement.

Profile: Orcid | Google Scholar

Featured Publications

Howard, E. (2025). Data imputation with deep learning: AI techniques for handling missing or noisy data. Eksplorium. https://doi.org/10.52783/eksplorium.65

Howard, E. (2025). End-to-end visibility in global supply chains: Blockchain and AI integration [Dataset]. figshare. https://doi.org/10.6084/m9.figshare.28528676

Howard, E. (2025). Leveraging computer vision and data science for enhanced operational efficiency in smart enterprises. Tangence. https://doi.org/10.52783/tangence.6

Ramshankar, P., Howard, E., Srinivasan, V., Prabu, D., Dhanraj, J. A., Kumar, M. J., & Rajendiran, M. (2025). Nanoscale characterization and imaging techniques for material analysis. AIP Conference Proceedings. https://doi.org/10.1063/5.0277578

Howard, E. (2025). Optimization of heat transfer in mechanical systems using AI in neural networks. Tangence. https://doi.org/10.52783/tangence.3

Howard, E. (2025). Real-time image-based data processing and its applications in managerial decision-making and risk analysis. Eksplorium. https://doi.org/10.52783/eksplorium.181

Tang Qingjun | Scientific Breakthroughs | Best Researcher Award

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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.

Profile: Scopus

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.

Yong Liu | Research Excellence | Innovative Research Award

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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.

Profile: Orcid

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

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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.

Profile: Google Scholar

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

 

Enrico Petretto | Research Excellence | Best Researcher Award

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Assoc. Prof. Enrico Petretto | Research Excellence | Best Researcher Award

Assoc. Prof. Enrico Petretto | University Of Cagliari | Italy

Profiles:  Scopus |  Orcid

Featured Publications

Prof. Enrico Peiretti is an internationally recognized expert in Medical Retina and Vitreous-Retina surgery, with experience in clinical practice, teaching, and research. He has contributed significantly to the advancement of ophthalmology through his extensive scientific work, including more than 107 publications, which have been cited 1,698 times across 1,522 documents, reflecting a strong impact in the field (h-index 23). Prof. Peiretti’s expertise spans complex retinal surgeries, clinical trials, and innovative surgical techniques such as the pioneering “Dry Vitrectomy.” He has received numerous awards, including recognition for the best surgical video in vitreo-retina surgery (“Densiron bubbles under the retina in a recurrent retinal detachment,” GIVRE Society, Genova), and has been a principal investigator or co-investigator in multiple high-profile international studies sponsored by leading pharmaceutical companies. His work combines clinical excellence, academic mentorship, and impactful research, making him a leading authority in ophthalmology worldwide.

Profiles:  Scopus  | Orcid

Featured Publications

Tatti, F., Demarinis, G., Dore, S., Sacchi, M., Fossarello, M., Peiretti, E., & Giannaccare, G. (2025). Intrableb pigmentation following XEN implantation: A case series. European Journal of Ophthalmology. https://doi.org/10.1177/11206721241310267

Carta, V., Lixi, F., Loiudice, P., Frongia, F., Tatti, F., Delpiano, C., Cremonesi, P., & Peiretti, E. (2024). The usefulness of 55° wide-field spectral-domain optical coherence tomography in monitoring the features of peripheral subretinal fluid remnants after rhegmatogenous retinal detachment surgery. Diagnostics, 14(13), 1385. https://doi.org/10.3390/diagnostics14131385

Tatti, F., Tronci, C., Lixi, F., Demarinis, G., Kuzmich, S., Peiretti, E., Fossarello, M., & Giannaccare, G. (2024). No changes in keratometry readings and anterior chamber depth after XEN gel implantation in patients with glaucoma. Journal of Clinical Medicine, 13(9), 2537. https://doi.org/10.3390/jcm13092537

Loiudice, P., Siotto Pintor, E., Tronci, C., Tatti, F., Casini, G., Figus, M., Demarinis, G., & Peiretti, E. (2023). Safety and efficacy of cryopexy during pars plana vitrectomy in rhegmatogenous retinal detachment. European Journal of Ophthalmology. https://doi.org/10.1177/11206721231166976

Demarinis, G., Tatti, F., Taloni, A., Giugliano, A. V., Panthagani, J., Myerscough, J., Peiretti, E., & Giannaccare, G. (2023). Treatments for ocular diseases in pregnancy and breastfeeding: A narrative review. Pharmaceuticals, 16(10), 1433. https://doi.org/10.3390/ph16101433

Yu Lan Wang | Research Excellence | Best Researcher Award

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Prof. Dr. Yu Lan Wang | Research Excellence | Best Researcher Award

Prof. Dr. Yu Lan Wang | Inner Mongolia University of Technology | China

Professor Yu Lan Wang is a distinguished researcher at Inner Mongolia University of Technology, recognized for her impactful contributions to computational mathematics, numerical analysis, and nonlinear science. She has published 61 scholarly works, which have been cited in over 839 publications, 16 h-index, Demonstrating her strong influence and academic reach. Her research has been acknowledged through a solid citation record and a notable research index, highlighting both the quality and depth of her contributions. By advancing high-precision methods for fractional-order systems and uncovering novel chaotic behaviors, she continues to inspire innovation across mathematics, physics, and engineering.

Profile: Scopus | Orcid

Featured Publications

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of a fractional phytoplankton–zooplankton ecological model. Networks and Heterogeneous Media, 20(2), Article 028.

Zhang, H., Wang, Y., Bi, J., & Bao, S. (2025). Novel pattern dynamics in a vegetation–water reaction–diffusion model. Mathematics and Computers in Simulation. Advance online publication.

Wang, X., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of the fractional Hastings–Powell model with the Grünwald–Letnikov differential derivative. International Journal of Bifurcation and Chaos. Advance online publication.

Han, Y., Zhang, J., & Wang, Y. (2024). Dynamic behavior of a two-mass nonlinear fractional-order vibration system. Frontiers in Physics, 12, 1452138.

Ning, J., & Wang, Y. (2024). Fourier spectral method for solving fractional-in-space variable coefficient KdV–Burgers equation. Indian Journal of Physics, 98, 1865–1875.

Tian, F., Wang, Y., & Li, Z. (2024). Numerical simulation of soliton propagation behavior for the fractional-in-space NLSE with variable coefficients on unbounded domain. Fractal and Fractional, 8(3), 163.

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2024). Research on dynamical behavior of a phytoplankton–zooplankton ecological model. Research Square. Preprint.

Gao, X., Zhang, H., Wang, Y., & Li, Z. (2024). Research on pattern dynamics behavior of a fractional vegetation–water model in arid flat environment. Fractal and Fractional, 8(5), 264. 

Zhao, L., & Zhang, W. (2024). Fourier spectral method for the fractional-in-space coupled Whitham–Broer–Kaup equations on unbounded domain. Open Physics, 22(1), 781–795.

Gao, X., Li, Z., & Wang, Y. (2024). Chaotic dynamic behavior of a fractional-order financial system with constant inelastic demand. International Journal of Bifurcation and Chaos, 34(7), 2450111.

Zhang, W., Wang, H., Zhang, H., Li, Z., & Li, X. (2024). Dynamical behavior of the fractional BBMB equation on unbounded domain. Fractal and Fractional, 8(7), 383.

Gao, X., Wang, Y., & Li, Z. (2023). High-precision numerical methods for a class of fractional-order financial systems with constant inelastic demand. SSRN.

Tang, W., Wang, Y., & Li, Z. (2023). Numerical simulation of fractal wave propagation of a multi-dimensional nonlinear fractional-in-space Schrödinger equation. Physica Scripta, 98(2), 025212.

Dai, D., Li, X., Li, Z., Zhang, W., & Wang, Y. (2023). Numerical simulation of the fractional-order Lorenz chaotic systems with Caputo fractional derivative. Computer Modeling in Engineering & Sciences, 135(2), 481–499.