Dr. Nuno Almeida | Research Excellence | Best Researcher Award | 2598

Published on by Scientist Day

Dr. Nuno Almeida | Research Excellence | Best Researcher Award

Dr. Nuno Almeida | Universidade do Algarve | Portugal

Dr. Nuno Miguel Forra Almeida is an academic and professional psychologist specializing in Work, Social, and Organizational Psychology. He serves as an Assistant Guest Lecturer at the Faculty of Human and Social Sciences of the University of Algarve (FCHS-UAlg) and holds specialist recognition from the Portuguese Psychologists Association (OPP) as well as EuroPsy qualification from the European Federation of Psychologists’ Associations (EFPA). He is also affiliated with FAROTESTE – Psychological Assessment.Currently pursuing a Ph.D. in Psychology at the University of Algarve, his research focuses on electoral abstention among young people, integrating psychological, behavioral, political, and communicational dimensions. He is actively involved as a Collaborating Researcher in two research centers: the Center for Research in Psychology (CIP) at Universidade Autónoma de Lisboa and the University Center for Psychological Research (CUIP) at the University of Algarve. In addition, he contributes to the OPP’s pool of psychologists for crisis and catastrophe intervention. Dr. Almeida has a robust academic background, holding a Master’s degree in Social and Organizational Psychology and a Bachelor’s degree in Psychology from the University of Algarve. His professional development includes extensive specialized training across diverse domains such as ergonomics, psychological evaluation, neuro-linguistic programming, information security, artificial intelligence workflows, and intervention with vulnerable populations including refugees and LGBTQ individuals. His teaching and research are complemented by practical involvement in supervision of academic and professional internships, psychometric testing, and consultancy in work and organizational settings. Through his academic and professional trajectory, he demonstrates a strong commitment to evidence-based practice, innovation in psychological assessment, and the integration of digital tools in psychological research and education. His scholarly and professional interests converge on understanding human behavior in social and organizational contexts, promoting psychological well-being in workplaces, and exploring the psychological underpinnings of civic engagement and political participation among youth.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Almeida, N., & Giger, J.-C. (2025). Unraveling the heterogeneity of electoral abstention: Profiles, motivations, and paths to a more inclusive democracy in Portugal. Social Sciences, 14(10), 601.

Giger, J.-C., Piçarra, N., Pochwatko, G., Almeida, N., & Almeida, A. S. (2025). Intention to work with social robots: The role of perceived robot use self-efficacy, attitudes towards robots, and beliefs in human nature uniqueness. Multimodal Technologies and Interaction, 9(2), 9.

Giger, J.-C., Piçarra, N., Pochwatko, G., Almeida, N., Almeida, A. S., Costa, N., & Duradoni, M. (2024). Development of the Beliefs in Human Nature Uniqueness Scale and its associations with perception of social robots. Human Behavior and Emerging Technologies, Article ID 5569587.

Gonçalves, G., Sousa, C., Fernandes, M. J., Almeida, N., & Sousa, A. (2023). Restorative effects of biophilic workplace and nature exposure during working time: A systematic review. International Journal of Environmental Research and Public Health, 20(21), 6986.

Almeida, N., & Giger, J.-C. (2025, January 23). The absent vote: Unraveling social representations of electoral abstention among students and non-student voters. In X Jornadas Internacionais de Iniciação à Investigação Científica em Psicologia (J3ICP).

 

Mikhail Samchukov | Research Excellence | Best Researcher Award

Published on by Scientist Day

Dr. Mikhail Samchukov | Research Excellence | Best Researcher Award

Dr. Mikhail Samchukov | Texas Scottish Rite Hospital for Children | Argentina

Dr. Mikhail L. Samchukov is an internationally renowned orthopedic surgeon recognized for his pioneering work in limb lengthening, deformity correction, and reconstructive surgery. A senior consultant and researcher with decades of experience, he has played a transformative role in advancing Ilizarov techniques, distraction osteogenesis, and the development of modern external fixation systems. Dr. Samchukov’s distinguished career bridges clinical innovation and biomedical engineering, focusing on precision alignment correction, bone regeneration, and patient-specific orthopedic solutions. He has authored and co-authored numerous peer-reviewed articles, book chapters, and monographs, and his research has influenced surgical practices and medical device development globally. As a recognized expert and mentor, Dr. Samchukov has led numerous clinical education programs, trained surgeons worldwide, and contributed to the integration of digital technologies into orthopedic modeling and treatment planning. His collaborations span premier medical institutions across North America, Europe, and Asia, strengthening the global network of orthopedic innovation. A frequent invited speaker at leading international congresses and symposiums, he continues to shape the future of reconstructive orthopedics through research leadership, mentorship, and clinical excellence. His career reflects a lifelong dedication to improving patient outcomes through science-driven surgical advancement.

Profile: Orcid

Featured Publications

Golshteyn, G., Oji, E., & Samchukov, M. (2025). Clinical guidelines for the application of tibial cortex transverse transport for diabetic foot ulcers. Foot & Ankle Surgery: Techniques, Reports & Cases, 100535. https://doi.org/10.1016/j.fastrc.2025.100535

Feraru, L. M., & Samchukov, M. (2025). Limb salvage with transverse tibial bone transport in a high-risk patient with a chronic Achilles tendon ulcer: A case report. Foot & Ankle Surgery: Techniques, Reports & Cases, 100575. https://doi.org/10.1016/j.fastrc.2025.100575

Stone, R., Samchukov, M., & Hutchison, B. (2025). Transverse tibial bone transport for treatment of calcaneal osteomyelitis: A case report. Foot & Ankle Surgery: Techniques, Reports & Cases, 100537. https://doi.org/10.1016/j.fastrc.2025.100537

Bafor, A., Iobst, C., Samchukov, M., Cherkashin, A., Singh, S., Aguilar, L., & Glatt, V. (2023, December 20). Reverse dynamization accelerates regenerate bone formation and remodeling in a goat distraction osteogenesis model. Journal of Bone and Joint Surgery. https://doi.org/10.2106/JBJS.22.01342

Glatt, V., Samchukov, M., Cherkashin, A., & Iobst, C. (2021, February 3). Reverse dynamization accelerates bone healing in a large-animal osteotomy model. Journal of Bone and Joint Surgery. https://doi.org/10.2106/JBJS.20.00380

Ernat, J. J., Wimberly, L., Samchukov, M. L., Cherkaskin, A. M., & Birch, J. G. (2019). Staged reconstruction for type IV tibial deficiency (distal tibiofibular diastasis). JBJS Case Connector. https://doi.org/10.2106/JBJS.CC.19.00088

Wallace, S. B., Cherkashin, A., Samchukov, M., Wimberly, R. L., & Riccio, A. I. (2019, July 3). Real-time monitoring with a controlled advancement drill may decrease plunge depth. Journal of Bone and Joint Surgery. https://doi.org/10.2106/JBJS.19.00111

Ludovica Di Renzo | Research Excellence | Women Researcher Award

Published on by Scientist Day

Dr. Ludovica Di Renzo | Research Excellence | Women Researcher Award 

Dr. Ludovica Di Renzo | Istittuto Zooprofilattico Sperimentale G.Caporale | Italy

Dr. Ludovica Di Renzo is an accomplished veterinary researcher specializing in marine animal health, wildlife pathology, and aquaculture sustainability. With a career devoted to understanding the effects of emerging diseases, pollutants, and environmental stressors on aquatic species, she has made significant contributions to marine ecosystem monitoring and animal welfare. Currently serving as a Researcher at the Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “G. Caporale”, she brings extensive experience in diagnostics of wild and stranded marine animals, including necropsy, histology, parasitology, cytology, and molecular diagnostics. Her research also extends to microplastics detection and the assessment of their biological impacts on marine organisms. Dr. Di Renzo holds a Doctor of Veterinary Medicine (DVM), a PhD in Veterinary Medical Sciences, Public Health, and Animal Welfare, along with postgraduate specializations in Laboratory Animal Science and Medicine and dual second-level master’s degrees in Aquaculture of the Future and Healthcare Management and Administration. Her interdisciplinary background bridges veterinary pathology, marine ecology, and environmental biotechnology, positioning her at the forefront of integrated marine health research. She is the author and co-author of over 35 peer-reviewed scientific publications featured in leading journals such as Pathogens, Marine Pollution Bulletin, Environmental Pollution, Animals, PLoS One, and Scientific Reports. Her impactful work on cetacean diseases, sea turtle health, microplastics contamination, and zoonotic pathogens has earned her international recognition, contributing to global marine conservation efforts. Beyond her research, Dr. Di Renzo actively participates in national scientific boards and committees on aquaculture and wildlife health, providing expert advisory input for policy and conservation strategies. She has delivered numerous presentations at international conferences including the European Cetacean Society, World Marine Mammal Conference, and International Sea Turtle Symposium, sharing insights into the health challenges facing marine wildlife. Fluent in Italian and English, with intermediate Portuguese proficiency gained through Erasmus experience at the University of Lisbon, she also dedicates her time to volunteer work with Centro Studi Cetacei Onlus and Sub Loto, supporting marine rescue and rehabilitation initiatives. Dr. Ludovica Di Renzo’s scholarly impact is reflected in 36 documents, 318 citations, and an h-index of 11, underscoring her sustained contributions to advancing veterinary and marine science globally.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Di Renzo, L., Mariani, G., Matiddi, M., Silvestri, C., Chiesa, S., Petochi, T., Marino, G., Pizzurro, F., Fazio, S., Rossi, E., et al. (2025, October 6). First survey on sea turtles’ interactions in mussel farms in Italy. Animals, 15(19), 2909. https://doi.org/10.3390/ani15192909

Pizzurro, F., Nerone, E., Di Domenico, M., Ancora, M., Mincarelli, L. F., Salini, R., Di Renzo, L., Fazio, S., & Recchi, S. (2025, April 3). Realistic environmental exposure of microplastics in European flat oyster, Ostrea edulis: Evaluation of accumulation and depuration under controlled conditions and molecular assessment of a set of reference genes. Water, 17(7), 1063. https://doi.org/10.3390/w17071063

Di Febo, T., Di Francesco, G., Grattarola, C., Sonsini, L., Di Renzo, L., Lucifora, G., Puleio, R., Di Francesco, C. E., Smoglica, C., Di Guardo, G., et al. (2025, January 2). Serological diagnosis of Brucella infection in cetaceans by rapid serum agglutination test and competitive ELISA with Brucella abortus and Brucella ceti as antigens. Pathogens, 14(1), 26. https://doi.org/10.3390/pathogens14010026

Grattarola, C., Pietroluongo, G., Belluscio, D., Berio, E., Canonico, C., Centelleghe, C., Cocumelli, C., Crotti, S., Denurra, D., Di Donato, A., et al. (2024, September). Pathogen prevalence in cetaceans stranded along the Italian coastline between 2015 and 2020. Pathogens, 13(9), 762. https://doi.org/10.3390/pathogens13090762

Di Renzo, L., De Angelis, M. E., Torresi, M., Mariani, G., Pizzurro, F., Mincarelli, L. F., Esposito, E., Oliviero, M., Iaccarino, D., & Di Nocera, F., et al. (2024, April 18). Genomic characterization of Listeria monocytogenes and other Listeria species isolated from sea turtles. Microorganisms, 12(4), 817. https://doi.org/10.3390/microorganisms12040817

Li Yu | Research Excellence | Best Researcher Award

Published on by Scientist Day

Prof. Li Yu | Research Excellence | Best Researcher Award

Prof. Li Yu | Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences | China

Dr. Yu Li is a distinguished Research Fellow at the Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), specializing in Food Science and Technology with a strong emphasis on mycotoxin prevention, detection, and safety assurance in agricultural products. Her research integrates advanced analytical techniques and immunological approaches to develop innovative detection systems for food contaminants. She has successfully led and participated in more  major national and provincial research projects, including those funded by the National Key R&D Program of China and the National Natural Science Foundation of China (NSFC). Her pivotal role in the award-winning project “Development of Targeted Antibodies and Ultrasensitive Detection Technologies for Aflatoxins in Agricultural Products” earned her team the Second-Class Prize of the National Technical Invention Award . Recognized for her excellence, Dr. Li has been selected for the Outstanding Young Talent Cultivation Program of OCRI-CAAS and the “Young Top Talent” Program of Hubei Province. Beyond her research, she contributes to scientific development as a Guest Editor for Molecules and as a member of the Science and Technology Expert Database of the Hubei Provincial Department of Science and Technology.

Profiles:  ORCID | ResearchGate

Featured Publications

Tang, F., Ma, F., Wang, D., Fang, M., Zhang, L., Li, P., & Yu, L. (2025). Highly efficient detoxification of aflatoxin B1 in peanut meals by attapulgite-supported laccase. Food Control, 164, 111759. https://doi.org/10.1016/j.foodcont.2025.111759

Ma, F., He, Y., Tang, F., Fu, L., Zhang, L., Li, P., & Yu, L. (2025). In-situ stabilization of conjugated microporous polymer on sieve plates for multifunctional applications: Detection and removal of aflatoxins. Journal of Hazardous Materials, 478, 139457. https://doi.org/10.1016/j.jhazmat.2025.139457

Liu, M., Wang, X., Yang, Y., Tu, F., Yu, L., Ma, F., Wang, X., Jiang, X., Dou, X., Li, P., & others. (2025). Authentication of edible oil by real-time one class classification modeling. Foods, 14(7), 1235. https://doi.org/10.3390/foods14071235

Dou, X., Tu, F., Yu, L., Yang, Y., Ma, F., Wang, X., Wang, D., Zhang, L., Jiang, X., & Li, P. (2024). Adulteration detection of edible oil by one-class classification and outlier detection. Food Frontiers, 5(1), Article e395. https://doi.org/10.1002/fft2.395

Huang, F., Liu, A., Fang, M., Wang, D., Yu, L., Ma, F., Wang, X., Zhang, L., & Li, P. (2024). Characteristic volatile flavors of high-oleic peanut oil and normal peanut oil. Microchemical Journal, 199, 110389. https://doi.org/10.1016/j.microc.2024.110389

Yu Lan Wang | Research Excellence | Best Researcher Award

Published on by Scientist Day

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.