Milad Shirvaliloo | Cancer Epigenetics | Best Researcher Award

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Dr. Milad Shirvaliloo | Cancer Epigenetics | Best Researcher Award

Iran University of Medical Sciences | Iran

Dr. Milad Shirvaliloo is a physician-scientist and accomplished biomedical researcher recognized for his extensive contributions to the fields of epigenetics, nanomedicine, and cancer biology. His scholarly work bridges molecular medicine and translational research, focusing primarily on histone modifications, non-coding RNAs, and nanoparticle-based therapeutic interventions in cancer and pulmonary diseases. With a robust publication record of more than 40 peer-reviewed scientific articles and a book chapter, Dr. Shirvaliloo’s research has gained wide recognition in the global academic community. His studies have illuminated novel mechanisms of epigenetic regulation, particularly in the context of lung disease, viral infection, and tumor angiogenesis, advancing understanding in both basic and clinical medicine. On Google Scholar, he has achieved 1,074 citations (1,071 since 2020) with an h-index of 19 and an i10-index of 30, while Scopus indexes 819 citations across 717 documents with an h-index of 16, demonstrating his strong and consistent research influence. As an editorial board member of high-impact journals such as Epigenomics and Molecular and Cellular Biochemistry, and as a reviewer for over 60 Web of Science–indexed journals, he has played a significant role in advancing scientific communication and maintaining research integrity. Dr. Shirvaliloo’s dedication to innovative biomedical inquiry and his outstanding contributions to the field have earned him recognition for the Best Researcher Award, honoring his commitment to excellence, scientific leadership, and impactful discovery in medical research.

Publication Profile

Scopus | Orcid | Google Scholar

Featured Publications

  • Heris, R. M., Shirvaliloo, M., Abbaspour-Aghdam, S., Hazrati, A., Shariati, A., Youshanlouei, H. R., et al. (2022). The potential use of mesenchymal stem cells and their exosomes in Parkinson’s disease treatment. Stem Cell Research & Therapy, 13(1), 371.

  • Sheervalilou, R., Shirvaliloo, M., Dadashzadeh, N., Shirvalilou, S., Shahraki, O., Pilehvar-Soltanahmadi, Y., et al. (2020). COVID-19 under spotlight: A close look at the origin, transmission, diagnosis, and treatment of the 2019-nCoV disease. Journal of Cellular Physiology, 235(12), 8873–8924.

  • Aghbash, P. S., Eslami, N., Shirvaliloo, M., & Baghi, H. B. (2021). Viral coinfections in COVID-19. Journal of Medical Virology, 93(9), 5310–5322.

  • Shirvalilou, S., Khoei, S., Esfahani, A. J., Kamali, M., & Shirvaliloo, M. (2021). Magnetic hyperthermia as an adjuvant cancer therapy in combination with radiotherapy versus radiotherapy alone for recurrent/progressive glioblastoma: A systematic review. Journal of Neuro-Oncology, 152(3), 419–428.

  • Razlansari, M., Jafarinejad, S., Rahdar, A., Shirvaliloo, M., Arshad, R., Fathi-Karkan, S., et al. (2023). Development and classification of RNA aptamers for therapeutic purposes: An updated review with emphasis on cancer. Molecular and Cellular Biochemistry, 478(7), 1573–1598.

hao song | Multimodal Network | Best Researcher Award

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Dr. hao song | Multimodal Network | Best Researcher Award

Shijiazhuang Tiedao University | China

Dr. Hao Song is an emerging researcher in the field of logistics engineering, transportation systems, and management science, with a particular emphasis on sustainable and data-driven logistics development in China. His research integrates advanced quantitative methodologies such as DEA-BCC/Bootstrap, Malmquist index, entropy-TOPSIS, and econometric regression to evaluate logistics efficiency, railway transportation performance, and multimodal network resilience. Through his interdisciplinary approach, he bridges logistics theory and practice, contributing significantly to improving transportation governance, public-private partnership (PPP) operations, and urban rail systems. His recent studies have explored the impact of railway development on high-quality logistics growth, as well as decision-making mechanisms within livestreaming e-commerce supply chains using evolutionary game theory. Dr. Song’s scholarly works have been published in renowned international journals indexed in SCI and Scopus, such as Transportation Journal, IEEE Access, and Promet–Traffic & Transportation. His contributions extend beyond academia, involving collaborations with leading industrial and governmental bodies like China Railway Construction Corporation (CRCC) and Sino-Consulting, reflecting a strong linkage between academic insights and real-world logistics innovation. Dr. Song’s Google Scholar record shows over 65 citations, an h-index of 5, and a Scopus citation count of 40, demonstrating his growing influence in logistics and systems engineering research. His work continues to push the boundaries of sustainable logistics efficiency, advanced modeling, and network optimization for China’s evolving transportation infrastructure. In recognition of his outstanding research contributions, academic excellence, and impactful publications, Dr. Hao Song stands as a deserving candidate for the Best Researcher Award, celebrating his dedication to advancing innovation and excellence in the field of logistics and transportation science.

Publication Profile

Orcid

Featured Publications

Song, H., & Zhu, T.-X. (2026). The impact of railway development on high-quality development of China’s logistics industry: An analysis based on the entropy-TOPSIS method and econometric regression. Transportation Journal.

Song, H., Zhu, T., & Wu, J. (2025). The decision-making mechanisms of the livestreaming e-commerce supply chain based on a three-party evolutionary game. IEEE Access.

Arash NourbakhshSadabad | Solar Energy | Best Researcher Award

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Dr. Arash NourbakhshSadabad | Solar Energy | Best Researcher Award

university of tabriz | Iran

Dr. Arash Nourbakhsh Sadabad is an accomplished researcher and academic in the field of Mechanical Engineering, with a specialization in Energy Conversion, Fluid Mechanics, and Thermodynamics. His research primarily focuses on sustainable energy systems, hydrogen production and liquefaction processes, renewable energy integration, and advanced thermal system optimization. As a prolific author and innovator, Dr. Nourbakhsh Sadabad has contributed significantly to advancing green technologies and energy efficiency through numerical modeling, simulation, and exergy-based optimization approaches. He has published extensively in reputed international journals and conferences, demonstrating a strong commitment to scientific excellence and technological advancement. His recent works include studies on biodiesel production from industrial sludge, hydrogen liquefaction integrated with PRICO cycles, and solar-assisted clean energy generation systems. With a citation count of 19 on Google Scholar (h-index: 2, i10-index: 1) and 6 citations indexed in Scopus, his contributions reflect growing global recognition and academic influence. In addition to his research output, Dr. Nourbakhsh Sadabad has been honored with numerous academic distinctions, including recognition as an outstanding and exemplary student at Tabriz University, a member of the talented student group, and a multiple-time awardee at national scientific festivals. His inventive spirit is evidenced by several registered patents in mechanical design and renewable energy applications. Through his scholarly work and innovation-driven approach, Dr. Arash Nourbakhsh Sadabad continues to shape the future of sustainable energy technologies and mechanical system efficiency, earning him recognition under the prestigious Best Researcher Award category.

Publication Profile

Google Scholar

Featured Publications

Nourbakhsh, A., Nami Khalilehdeh, M., Faramarzi, S., & Mafi, M. (2021). Energy, exergy and economic analysis of a hydrogen liquefaction process integrated with a PRICO cycle. Gas Processing Journal, 9(2), 83–102.

Aryanfar, Y., Keçebaş, A., Sadabad, A. N., Alcaraz, J. L. G., Fernandez, J. B., & Wu, W. (2024). Production of biodiesel from industrial sludge: Recent progress, challenges, perspective. Processes, 12(11), 2517.

Castellanos, H. G., Aryanfar, Y., Sadabad, A. N., Keçebaş, A., Youssef, M., et al. (2025). Integrating solar energy in urban development: Strategies for sustainable and smart cities. International Transactions on Electrical Energy Systems, 2025(1), 6096036.

Nourbakhsh Sadabad, A., Radman, S., Ranjbar, F., & Nami Khalilehdeh, M. (2022). Thermoeconomic analysis and multi-objective optimization of a high-performance system based on gas turbine and Rankine equipped with thermoelectric generator cycles. Journal of Mechanical Engineering, 52(1), 197–206.

Nourbakhsh Sadabad, A., Nami Khalilehdeh, M., Ranjbar, S. F., & Faramarzi, S. (2022). Simulation, analysis and optimization of a non-emission process producing power, hydrogen gas and liquid hydrogen using solar energy and PEM electrolysis. Journal of Mechanical Engineering, 52(2), 173–182.*

Vasso Papadimitriou | Engineering | Best Researcher Award

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Ms. Vasso Papadimitriou | Engineering | Best Researcher Award

Aristotle University of Thessaloniki | Greece

Ms. Vasso Papadimitriou is an accomplished researcher and academic affiliated with the Aristotle University of Thessaloniki and the Region of Central Macedonia, Greece. Her research primarily focuses on construction project management, cost estimation models, and the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques, particularly Artificial Neural Networks (ANNs), in the field of building renovation and project planning. She has contributed significantly to the development of predictive and hybrid models that enhance accuracy in early-stage and final cost estimation for construction and renovation projects. Dr. Papadimitriou’s innovative work combines ANN methodologies, including Radial Basis Function (RBF) and Multilayer Perceptron (MLP) networks, with Multi-Criteria Decision-Making (MCDM) approaches such as the TOPSIS Methodology to create efficient, data-driven tools for project assessment and optimization. Her research also aligns with Sustainable Development Goals (SDG 9 and SDG 17), focusing on promoting innovation, infrastructure, and partnerships for sustainable growth. She has published in international peer-reviewed journals indexed in Scopus, Web of Science (SCI-Expanded, ESCI), and other scientific databases. According to Scopus, she has 6 publications, 3 citations, and an h-index of 1. On Google Scholar, she holds 14 total citations, an h-index of 3, and an i10-index of 1, while ResearchGate records 6 publications, 11 citations, and an h-index of 2. Her interdisciplinary approach bridges civil engineering, computer science, and digital construction, contributing to advancements in cost modeling and sustainable infrastructure management. Through her publications and research collaborations, Dr. Papadimitriou continues to make impactful contributions to the field of engineering innovation and AI-driven construction technology. Her outstanding achievements and innovative contributions to predictive modeling and sustainable construction management make her a deserving nominee for the Best Researcher Award.

Publication Profile

Scopus | Google Scholar

Featured Publications

Papadimitriou, V. E., & Aretoulis, G. N. (2024). A final cost estimating model for building renovation projects. Buildings, 14(4), 1072.

Papadimitriou, V. E., Aretoulis, G. N., & Papathanasiou, J. (2024). Radial Basis Function (RBF) and Multilayer Perceptron (MLP) comparative analysis on building renovation cost estimation: The case of Greece. Algorithms, 17(9), 390.

Papadimitriou, V., & Aretoulis, G. (2023). Neural network models as a cost prediction tool to prevent building construction projects from a failure—A literature review. Proceedings of the Erasmus+ PROSPER Project International Scientific Conference, 1–10.

Papadimitriou, V. E., & Aretoulis, G. N. (2025). An innovative approach regarding efficient and expedited early building renovation cost estimation utilizing ANNs and the TOPSIS methodology. Algorithms, 18(11), 696.

Kritikos, P., Papadimitriou, V., & Aretoulis, G. N. (2021). Required project designers’ attributes as perceived by male and female engineers. International Journal of Decision Support System Technology (IJDSST), 13(4), 1–15.

 

 

Samira Eslamizad | Pharmaceutical Science | Best Researcher Award

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Assoc. Prof. Dr. Samira Eslamizad | Pharmaceutical Science | Best Researcher Award

Shahid Beheshti University of Medical Sciences | Iran

Assoc. Prof. Dr. Samira Eslamizad is an accomplished researcher and Assistant Professor at the Food Safety Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Her research expertise lies in the fields of toxicology, food safety, and environmental health, focusing on the detection, quantification, and health risk assessment of chemical contaminants in food and environmental samples. She has made significant contributions to the development and validation of advanced analytical methods using LC-MS/MS, GC-MS/MS, and multiplex biochip array technologies to assess contaminants such as acrylamide, mycotoxins, polycyclic aromatic hydrocarbons, antibiotic residues, and pesticides in food matrices. Dr. Eslamizad’s innovative work on simultaneous screening and validation of multiple residues and toxins has advanced food safety monitoring standards in accordance with European Union regulations. Her collaborative research with international scientists has yielded impactful findings on public health risk assessment, including studies on occupational exposure and toxicological impacts of environmental pollutants. She has authored numerous scientific publications in high-impact journals, earning 350 Scopus citations (22 documents, h-index 11) and 577 Google Scholar citations (h-index 15, i10-index 18), reflecting the quality and influence of her scholarly contributions. Dr. Eslamizad’s research continues to play a vital role in improving food quality, developing safer consumption practices, and advancing analytical toxicology in Iran and beyond. This outstanding record of scientific excellence and impact makes her a deserving recipient of the Best Researcher Award.

Publication Profile

Scopus | Orcid | Google Scholar

Featured Publications

  • Eslamizad, S., Kobarfard, F., Tsitsimpikou, C., Tsatsakis, A., Tabib, K., & Yazdanpanah, H. (2019). Health risk assessment of acrylamide in bread in Iran using LC-MS/MS. Food and Chemical Toxicology, 126, 162–168.

  • Hooshfar, S., Khosrokhavar, R., Yazdanpanah, H., Eslamizad, S., Kobarfard, F., Nazari, F., Kokaraki, V., Kokkinakis, M., Goumenou, M., & Tsitsimpikou, C. (2020). Health risk assessment of aflatoxin M1 in infant formula milk in IR Iran. Food and Chemical Toxicology, 142, 111455.

  • Hadian, Z., Eslamizad, S., & Yazdanpanah, H. (2019). Pesticide residues analysis in Iranian fruits and vegetables by Gas Chromatography-Mass Spectrometry. Iranian Journal of Pharmaceutical Research, 18(1), 275–283.

  • Pournourmohammadi, S., Khazaeli, P., Eslamizad, S., Tajvar, A., Mohammadirad, A., & Abdollahi, M. (2008). Study on the oxidative stress status among cement plant workers. Human and Experimental Toxicology, 27(6), 463–469.

  • Karimi, A., Eslamizad, S., Mostafaee, M., Momeni, Z., Ziafati, F., & Mohammadi, S. (2016). Restrictive pattern of pulmonary symptoms among photocopy and printing workers: A retrospective cohort study. Journal of Research in Health Sciences, 16(2), 81–87.

 

Pramod Kumar Aylapogu | Wireless Communications | Best Researcher Award

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Dr. Pramod Kumar Aylapogu | Wireless Communications | Best Researcher Award

CMR Engineering College | India

Dr. A. Pramod Kumar is a distinguished researcher and academician specializing in Wireless Sensor Networks, Antenna Design, VLSI Systems, and the Internet of Things (IoT). His scholarly work spans across multiple interdisciplinary domains, including millimeter-wave antennas for underwater monitoring, soft-switching DC-DC converters for electric vehicles, and next-generation communication systems. academic and research experience, he has made significant contributions through 47 SCOPUS, SCI, and ESCI-indexed publications in reputed international journals and conferences. His research has been recognized with numerous accolades, including the NPTEL Discipline Star Award, the Best Paper Award at SPEEDAM in Italy, and appreciation for outstanding contributions to student success. Dr. Pramod Kumar’s citation metrics underscore his research impact Google Scholar reports 101 citations, an h-index of 5, and an i10-index of 1, while Scopus lists 86 citations with an h-index of 5 across 79 documents. He has co-authored several patents focusing on IoT-based smart systems, energy-efficient architectures, and cybersecurity frameworks. His research excellence is further reflected in his leadership roles in organizing IEEE and Scopus-indexed international conferences and serving as a reviewer for high-impact SCI journals such as Applied Soft Computing and Soft Computing. His dual doctoral research—spanning millimeter-wave antenna design and power electronics highlights his multidisciplinary expertise and dedication to innovation. His ongoing work integrates IoT and artificial intelligence for sustainable technological development, aligning with global trends in smart and connected systems. Dr. Pramod Kumar’s remarkable publication record, patents, and research influence establish him as a deserving candidate for the Best Researcher Award.

Publication Profile

Scopus | Orcid | Google Scholar

Featured Publications

  • Bevara, V., Bevara, S., Busi, S., Krishna, R. V. V. M., & Aylapogu, P. K. (2024). Ultra low power reversible arithmetic processor based on QCA. Optical and Quantum Electronics, 56(4), 586.

  • Bhajana, V. V. S. K., Drabek, P., & Aylapogu, P. K. (2019). Design and implementation of a zero voltage transition bidirectional DC–DC converter for DC traction vehicles. International Transactions on Electrical Energy Systems, 29(5), e2842.

  • Pramod Kumar, A., Suman, N., Koteswararao, Y. V., & Venkatachari, D. (2020). WITHDRAWN: Design and analysis of high beam forming MIMO antenna for 5G applications. Materials Today: Proceedings.

  • Kumar, A. P., Chiatanya, D. M. K., & Venkatachari, D. (2020). Design of high gain dual T-shaped stub antenna for satellite communication. TELKOMNIKA (Telecommunication Computing Electronics and Control), 18(3), XXX–XXX.*

  • Aylapogu, P. D., & Bhajana, V. V. S. K. (2016). A novel ZCS interleaved bidirectional buck-boost DC–DC converter for energy storage applications. Proceedings of ELEKTRO 2016, 180–185.

Omid Dehghan | Biology | Best Researcher Award

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Mr. Omid Dehghan | Biology | Best Researcher Award

Iranshahr University of Medical Sciences | Iran

Mr. Omid Dehghan is an accomplished researcher in the field of medical entomology and vector-borne diseases, with a particular focus on mosquito ecology, insect-borne infections, and integrated vector control strategies in Iran. His interdisciplinary research spans entomological surveillance, parasitology, and public health applications, contributing significantly to understanding the epidemiology of diseases such as dengue, malaria, leishmaniasis, and pediculosis. His studies explore vector ecology, larval habitat characterization, repellency effects of natural products, and maggot therapy innovations for wound healing. Through his collaborative and translational approach, Dr. Dehghan has advanced evidence-based control programs that align with One Health principles. His publication record demonstrates strong academic influence, with 162 Google Scholar citations (160 since 2020), an h-index of 8, and an i10-index of 6, while Scopus records 89 citations across 83 documents with an h-index of 6. His research excellence reflects not only his scientific rigor but also his commitment to developing locally adapted solutions for global vector-borne challenges. Dr. Dehghan’s scholarly output and innovative contributions to tropical disease research have established him as a leading figure among emerging entomologists in the Middle East, making him a strong candidate for the Best Researcher Award.

Publication Profile

Scopus | Orcid | Google Scholar

Featured Publications

Dehghan, O., Tabaie, S. M., Rafinejad, J., Toutounchi, M., Tiyuri, A., Azarmi, S., & Mehdi, T. S. (2024). A parallel randomized clinical trial for comparison of two methods of maggot therapy, free-range larvae and larval-bag, in diabetic ulcer (Wagner 2). The International Journal of Lower Extremity Wounds, 23(1), 133–139.

Azarmi, S., Akbarzadeh, K., Ekrami, A., Sheikh, Z., & Dehghan, O. (2024). Scalp myiasis associated with soft tissue sarcoma lesion: A case report and review of relevant literature. BMC Infectious Diseases, 24(1), 51.

Khoobdel, M., Dehghan, O., Bakhshi, H., & Moradi, M. (2022). Control and management of vector-borne diseases in disaster conditions. Journal of Military Medicine, 22(8), 778–798.

Jalali, H., Enayati, A. A., Fakhar, M., Motevalli-Haghi, F., Charati, J. Y., & Dehghan, O. (2021). Reemergence of zoonotic cutaneous leishmaniasis in an endemic focus, northeastern Iran. Parasite Epidemiology and Control, 13, e00206.

Mohammadi, R., Khoobdel, M., Talebi, A. A., Negahban, M., Norani, M., & Dehghan, O. (2020). In vivo evaluation of the repellency effects of nanoemulsion of Mentha piperita and Eucalyptus globulus essential oils against mosquitoes. The Open Biotechnology Journal, 14(1), 45–52.*

Seyed Hassan Nikookar | Medical Entomology | Best Researcher Award

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Dr. Seyed Hassan Nikookar | Medical Entomology | Best Researcher Award

Mazandaran University of Medical sciences | Iran

Dr. Seyed Hassan Nikookar is a distinguished researcher and Assistant Professor at the Health Sciences Research Center, School of Public Health, Mazandaran University of Medical Sciences, Iran. His research primarily focuses on medical entomology, vector ecology, and the molecular mechanisms of insecticide resistance in disease-transmitting mosquitoes. He has made significant contributions to the understanding of vector biodiversity, ecology, and control strategies for arboviral and parasitic diseases such as dengue, malaria, leishmaniasis, and Crimean-Congo hemorrhagic fever in Iran. Dr. Nikookar’s research integrates field-based entomological surveillance with molecular diagnostic tools to develop innovative and sustainable approaches for vector monitoring and management. His pioneering work on invasive Aedes mosquitoes has supported national health authorities in developing effective strategies to mitigate vector-borne disease transmission, enhance community participation, and promote integrated vector management systems. With over 80 scientific publications in internationally recognized journals indexed in Scopus and Web of Science, he is among Iran’s leading experts in medical entomology and vector control. His scholarly impact is reflected by over 824 citations and an h-index of 16 on Google Scholar, along with 439 citations across 336 Scopus-indexed documents and an h-index of 13, demonstrating his sustained scientific influence. Beyond research, he contributes as an editorial board member and peer reviewer for several journals and collaborates with national and international institutions on multidisciplinary research projects. Dr. Nikookar’s work exemplifies scientific excellence and practical impact in public health entomology, earning him recognition as a Best Researcher Award recipient for his contributions to vector-borne disease research and control initiatives in Iran.

Publication Profile

Scopus | Orcid | Google Scholar

Featured Publications

Nikookar, S. H., et al. (2025). Laboratory evaluation of the larvicidal activity of essential oils from three Mentha species against Anopheles stephensi. Journal of Mazandaran University of Medical Sciences.

Nikookar, S. H., et al. (2024). Kdr genotyping and the first report of V410L and V1016I kdr mutations in voltage-gated sodium channel gene in Aedes aegypti (Diptera: Culicidae) from Iran. Parasites and Vectors, 17(1), Article 152.

Nikookar, S. H., et al. (2024). Molecular detection of Leishmania DNA in wild-caught sand flies, Phlebotomus and Sergentomyia spp. in northern Iran. Parasite Epidemiology and Control, 26, e00472.

Nikookar, S. H., et al. (2024). Association between fasting and anxiety: A systematic review and meta-analysis. Scientific Reports, 14(7), 11592.

Nikookar, S. H., et al. (2023). Current status of Crimean-Congo hemorrhagic fever and its vectors in Iran: A narrative review. Tropical Medicine and Infectious Disease, 8(12), 589.*

Andrei Kharchanka | Condensed Matter Physics | Best Researcher Award

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Dr. Andrei Kharchanka | Condensed Matter Physics | Best Researcher Award

Institute for Nuclear Problems, Belarusian State University | Belarus

Dr. Andrei Kharchanka is a distinguished physicist and materials scientist recognized for his significant contributions to the field of Condensed Matter Physics. His research focuses on the magnetotransport, electronic, and optical properties of nanostructured materials, particularly those based on carbon and graphene. Dr. Kharchanka’s scientific endeavors encompass the synthesis and modification of thin carbon layers and polymer composites through advanced methods such as ion implantation, CVD growth, and irradiation techniques, enabling controlled manipulation of charge carriers and intrinsic magnetic defects. His studies have deepened the understanding of magnetic interactions, electron transport phenomena, and the functional behavior of nanomaterials, advancing the design of materials for spintronics, nanoelectronics, and photonic applications. He has collaborated extensively with international research institutions, including the Joint Institute for Nuclear Research (Russia), contributing to multidisciplinary investigations on nanocomposites and magnetically active materials. With 25 publications indexed in Scopus, his work has been cited 82 times across 66 documents, reflecting an h-index of 5. His Google Scholar profile also highlights consistent academic impact through high-quality publications and collaborations in nanoscience and applied physics. Dr. Kharchanka’s recent research explores the correlation between structural features and magnetic behavior in metal oxide nanoparticles, and the influence of humidity and environmental factors on the electrical performance of diamond-like carbon coatings. His contributions have positioned him as an innovative researcher whose findings bridge fundamental material science with practical technological applications, making him a deserving candidate for the Best Researcher Award in the field of Condensed Matter Physics.

Publication Profile

Scopus | Orcid

Featured Publications

  • Kharchanka, A. A., Fedotov, A. K., & Fedotova, J. A. (2025). Carrier transport and induced magnetism in nanostructured carbon-based material manufactured by PECVD method. Next Materials, 101081.

  • Zur, I. A., Fedotova, J. A., Fedotov, A. S., Shmanay, Y. Y., Fedotov, A. K., Kharchanka, A. A., Gorbachuk, N. I., Ermakova, E. A., & Movchan, S. A. (2025). Influence of humidity on the electrophysical properties and charge transfer mechanism in nanoscale diamond-like carbon coatings. Carbon, 120100.

  • Luu Huu, N., Linh, P. H., Fedotova, J. A., Nhung, N. H., Kharchanka, A. A., Degtyarik, M. M., Mitskevich, Y. D., Thi Huong, T., Thi Ngoc Anh, N., & Son, H. A. (2025). A comprehensive evaluation of the correlation between structure and magnetic properties of Gd-substituted Fe3O4 nanoparticles. Advances in Natural Sciences: Nanoscience and Nanotechnology, 2043–6262.

  • Haiduk, Y. S., Petrova, E. G., Fedotova, J. A., Lapchuk, N. M., Kharchanka, A. A., Korobko, E. V., Usenka, A. E., & Pankov, V. V. (2025). Ferrites of cobalt and cobalt-zinc for magnetorheological materials: Preparation and properties. Next Materials, 100652.

  • Zur, I. A., Fedotova, J. A., Fedotov, A. S., Shmanay, Y. Y., Fedotov, A. K., Kharchanka, A. A., Gorbachuk, N. I., Ermakova, E. A., & Movchan, S. A. (2025). Corrigendum to “Influence of humidity on the electrophysical properties and charge transfer mechanism in nanoscale diamond-like carbon coatings”. Carbon, 120246.

Jinping Xue | Artificial Intelligence | Best Researcher Award

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Ms. Jinping Xue | Artificial Intelligence | Best Researcher Award

Renergy Overseas Limited | China

Ms. Jinping Xue is an emerging researcher and engineer specializing in the integration of Artificial Intelligence with sustainable urban environments. Her research focuses on Smart Cities, Industrial AI, Edge Intelligence, and Environmental AI—fields that explore how data-driven intelligence can transform urban infrastructure into more adaptive, efficient, and sustainable systems. She has made significant contributions to the development of a privacy-preserving AI framework for smart city environmental monitoring, integrating federated learning with LSTM and genetic algorithms to achieve high pollution source traceability accuracy while maintaining data privacy. Her interdisciplinary expertise bridges environmental modeling, urban systems optimization, and AI-driven perception technologies, contributing to innovative solutions in sustainable city management and smart mobility. Xue’s scholarly work demonstrates a strong interest in the application of distributed sensing and federated learning for pollution source analysis, contributing to the broader goal of achieving clean, data-secure, and intelligent urban ecosystems. She has collaborated with experts in environmental sensing and intelligent perception to enhance the real-time adaptability of urban monitoring systems. Her publications, indexed in Scopus and Google Scholar, reflect her growing impact in the domains of computational intelligence and environmental systems. With research outputs recognized in peer-reviewed international journals such as Sensors, her work has begun to gain citations across the environmental AI research community. Her citation records are progressively expanding, with verified documentation and indexing available through Scopus and Google Scholar, and her h-index count demonstrates her early but impactful research trajectory. Through her interdisciplinary approach, Xue continues to push the boundaries of AI applications for sustainable development and smart city transformation.

Publication Profile

Google Scholar

Featured Publications

Xue, J., Hu, X., Liu, Q., Yin, C., Ni, P., & Bo, X. (2025). Air pollutant traceability based on federated learning of edge intelligent perception agents. Sensors, 25(19), 6119.