Artur Dzeranov | Chemical Engineering | Best Researcher Award

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Mr. Artur Dzeranov | Chemical Engineering | Best Researcher Award

Federal Research Center of Problems of Chemical Physics and Medicinal Chemistry RAS | Russia

Mr. Artur Dzeranov is an accomplished researcher and Assistant Professor at the Moscow Aviation Institute (National Research University), specializing in nanomaterials chemistry, environmental remediation, and biotechnical systems. His research focuses on the synthesis and functionalization of iron nanoparticles, metal-organic frameworks, and hybrid nanocomposites, exploring their structural, catalytic, and biological properties. He employs advanced analytical methods such as XRD, Mössbauer spectroscopy, TEM, SEM, and IR spectroscopy to characterize materials with high precision. His studies address the interaction of nanocomposites with biological systems and ecotoxicants, advancing knowledge in sustainable nanotechnology and environmental safety. With 17 peer-reviewed publications, over 107 citations, and a strong collaborative research network, Mr. Artur Dzeranov has made notable contributions to areas such as ferroptosis mechanisms, ecotoxicity prediction using machine learning, and pollutant degradation via Fenton-based catalysis. His innovative approach bridges materials science, biotechnology, and environmental chemistry, marking him as a forward-thinking researcher with significant potential for global scientific impact.

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Featured Publications

Dzeranov, A. A., Pankratov, D. A., Bondarenko, L. S., Dzhardimalieva, G. I., Terekhova, V. A., Tropskaya, N. S., Dzhalmukhanova, A. S., & Kydralieva, K. A. (2025). Representative pH-dependent system based on humic acids-modified magnetite nanoparticles (Fe₃O₄-HA) for enhanced ciprofloxacin sorption. Separation and Purification Technology, 135808.

Bondarenko, L., Baimuratova, R., Dzeranov, A., Pankratov, D., Kicheeva, A., Sushko, E., Kudryasheva, N., Valeev, R., Tropskaya, N., & Dzhardimalieva, G. (2024). Fenton reaction-driven pro-oxidant synergy of ascorbic acid and iron oxide nanoparticles in MIL-88B(Fe). New Journal of Chemistry.

Dzeranov, A., Pankratov, D., Bondarenko, L., Telegina, L., Dzhardimalieva, G., Saman, D., & Kydralieva, K. (2024). Humic acids-modified mesoporous silica encapsulating magnetite: Crystal and surface characteristics. CrystEngComm.

Bondarenko, L., Baimuratova, R., Reindl, M., Zach, V., Dzeranov, A., Pankratov, D., Osmushko, I., Kydralieva, K., Dzhardimalieva, G., & Kolb, D. (2024). Designed magnetic nanoparticles for ferroptosis: Release of iron ions from metal-organic frameworks modified with iron oxides. Materials Today Chemistry, 102332.

Sidorov, M. Y., Gasanov, M. E., Dzeranov, A. A., Bondarenko, L. S., Kiryushina, A. P., Terekhova, V. A., Dzhardimalieva, G. I., & Kydralieva, K. A. (2024). Machine learning-enabled prediction of ecotoxicity (EC₅₀) of diverse organic compounds via infrared spectroscopy. Mendeleev Communications.

Eetela Sathyanarayana | Soil Science | Best Researcher Award

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Dr. Eetela Sathyanarayana | Soil Science | Best Researcher Award

Professor Jayashankar Telangana Agricultural University | India

Dr. Eetela Sathyanarayana is a highly accomplished agricultural scientist and Professor at Professor Jayashankar Telangana State Agricultural University, Hyderabad. His research primarily focuses on sustainable agriculture, soil fertility enhancement, integrated nutrient management, and plant responses to abiotic stresses. With expertise spanning crop improvement, microbial biocontrol, and nanotoxicology, he has contributed significantly to climate-smart agricultural practices. Dr. Eetela Sathyanarayana publications in reputed journals such as Scientific Reports, Chemosphere, and Frontiers in Plant Science reflect his dedication to advancing knowledge in soil–plant interactions, genotoxicity mechanisms, and eco-friendly pest management. He has authored influential book chapters and a book on ecosystem services, underscoring his interdisciplinary reach. As Chief Executive Editor of Nature Science Magazine, he actively promotes scientific discourse and innovation. With 12 publications, 167 citations, and collaborations with 82 co-authors worldwide, his scholarly impact and commitment to agricultural sustainability

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Featured Publications

1. Banerjee, S., Rajput, P., Naz, I., Anand, V., Rajput, V. D., Sathyanarayana, E., Chauhan, A., Mandzhieva, S., Minkina, T., & Sousa, J. R. (2025). Nanoparticles and plant DNA damage: A review of genotoxic mechanisms and research outlook. Chemosphere.

2. Sathyanarayana, E. (2022). Ecosystem services: Types, management and benefits. Nova Science Publishers.

3. Sathyanarayana, E. (2022). Physiological mechanisms and adaptation strategies of plants under nutrient deficiency and toxicity conditions. In Plant Perspectives to Global Climate Changes (pp. [pages not specified]).

4. Sathyanarayana, E. (2022). Fungal endophytes to combat biotic and abiotic stresses for climate-smart and sustainable agriculture. Frontiers in Plant Science, 13, 953836.

5. Kumari, A., Sharma, B., Singh, B. N., Hidangmayum, A., Jatav, H. S., Chandra, K., Singhal, R. K., Sathyanarayana, E., Patra, A., & Mohapatra, K. K. (2021). Physiological mechanisms and adaptation strategies of plants under nutrient deficiency and toxicity conditions. In Plant Perspectives to Global Climate Changes: Developing Climate-Resilient Plants.

6. Sathyanarayana, E. (2021). Roles of nitric oxide in conferring multiple abiotic stress tolerance in plants and crosstalk with other plant growth regulators. Journal of Plant Growth Regulation.

Jialin Ma | Educational Psychology | Best Researcher Award

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Prof. Dr. Jialin Ma | Educational Psychology | Best Researcher Award

Henan University | Best Researcher Award

Prof. Dr. Jialin Ma is a distinguished cognitive psychologist whose research explores the intricate mechanisms of action memory, face recognition, prosopagnosia, and cognitive processes underlying educational involution. His interdisciplinary approach combines behavioral analysis, eye-tracking, and event-related potentials (ERP) to uncover how individuals perceive, encode, and recall information. With a growing academic portfolio of 13 publications, 34 citations, and an h-index of 4, his works in leading journals such as Quarterly Journal of Experimental Psychology, Cognitive Processing, International Journal of Psychology, and Behavioral Sciences contribute significantly to the understanding of facial cognition and learning behavior. As an active educator and academic leader, he teaches courses in Educational Psychology and Cognitive Processes and Learning, while serving as an editor for Psychological Research and a council member of the Student Development Professional Committee of the Henan Education Association. Recognized with multiple accolades, including the Outstanding Mentor Award and Excellent Scientific Paper Award

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Featured Publications

Ma, J., Tang, Y., Zhang, Y., Wang, X., Li, Y., & Hou, Y. (2025). Development and validation of the academic involution behavior scale for college students. Children and Youth Services Review, 159, 108652.

Zhang, R., Yang, B., Li, Y., & Ma, J. (2025). Individuals with developmental prosopagnosia tend to focus more evenly on facial features. Quarterly Journal of Experimental Psychology, 78(9), Article 17470218251327141.

Bu, H., Wang, X., Lei, G., Ye, X., Zhang, F., Li, Y., & Ma, J. (2024). Enactment encoding promotes relative temporal order memory. Cognitive Processing, 25(11), Article 01206.

Ma, J., Huang, J., & Li, Y. (2024). The other‐ethnicity effect in facial recognition of Tibetan and Han individuals: Evidence from behavioural and eye‐movement data. International Journal of Psychology, 59(10), Article 13141.

Ma, J., Zhang, R., & Li, Y. (2023). Age weakens the other-race effect among Han subjects in recognizing own- and other-ethnicity faces. Behavioral Sciences, 13(8), 675.

Wang Hongyuan | Artificial Intelligence | Best Researcher Award

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Mr. Wang Hongyuan | Artificial Intelligence | Best Researcher Award

Guangdong University of Science and Technology | China

Mr. Wang Hongyuan is an accomplished researcher at the Guangdong University of Science and Technology, Dongguan, China, whose work bridges the fields of artificial intelligence, Internet of Things (IoT), and intelligent computing systems. His research primarily emphasizes explainable AI, machine learning applications, edge computing, and data-driven fault detection systems for industrial and healthcare environments. Mr. Wang Hongyuan has authored 11 research publications indexed in Scopus with 10 citations and an h-index of 2, reflecting his growing influence in computational intelligence research. His recent contributions include studies on reinforcement learning-based computation offloading for wireless IoT, AI-based analysis of neurodegenerative disorders, and machine learning approaches for network security and IoT healthcare systems. He also led the Dongguan Songshan Lake Sci-Tech Commissioner Project, focusing on big data-based monitoring and early fault warning systems for electrical equipment. Through his innovative and interdisciplinary approach, Mr. Wang Hongyuan demonstrates a strong commitment to advancing AI-driven automation, smart industrial systems, and intelligent healthcare technologies—establishing himself as a promising and forward-thinking researcher in modern computational sciences.

Profile: Scopus

Featured Publications

  • Wang, H. (2025). An adaptive computation offloading strategy for wireless IoT: A reinforcement learning-based solution. Journal of the Institution of Engineers (India) Series

  • Wang, H. (2024). Dongguan Songshan Lake Sci-Tech Commissioner Project: Research and industrialization of a monitoring and fault early-warning system for high and low voltage electrical equipment based on big data mining (Project ID: 20234415-01KCJ-G). [Completed Project].

  • Wang, H. (2025). Neurodegenerative disorders: A holistic study of the explainable artificial intelligence applications. Engineering Applications of Artificial Intelligence.

  • Wang, H. (2023). Machine learning-based centralized link coding attack detection in software-defined network. Wireless Networks.

  • Wang, H. (2023). MEC-IoT-Healthcare: Analysis and prospects. Computers, Materials & Continua, 75(1), 193–206.

Samuel Babatunde | English Language | Best Researcher Award

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Dr. Samuel Babatunde | English Language | Best Researcher Award

Redeemer’s University | Nigeria

Dr. Samuel Babatunde is a Nigerian linguist and Lecturer I at Redeemer’s University, Ede, Nigeria. His research lies at the intersection of Sociolinguistics, Applied Linguistics, New Media, and New English Native Speakers (NENS). He has contributed to the evolving understanding of English usage in postcolonial contexts, exploring themes like grammatical innovation, pragmatic variation, and linguistic identity across digital and social platforms. His publications in journals such as Issues in Language and Literary Studies, Howard Journal of Communications, and Language Matters highlight his analytical engagement with the dynamics of Nigerian and Ghanaian Englishes, multimodal discourse in online communication, and syntax-pragmatic features in regional English varieties. Dr. Samuel Babatunde has also examined topics like language shift among youths and the linguistic implications of digital communication. His academic work reflects a commitment to advancing critical discourse on English variation and digital sociolinguistic studies in Africa.

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Featured Publications

  • Babatunde, S. A., & Adebileje, A. O. (2024). Grammatical assessment of new English “native” speakers in Ghana and Nigeria. Issues in Language and Literary Studies, 8(1), 203–216.

  • Babatunde, S. A., & Obademi, P. O. (2025). “Let the poor breathe”: A multimodal discourse analysis of selected online images on economic hardship in Nigeria. Howard Journal of Communications, 36(4), 488–506.

  • Babatunde Akanbi, S., & Popoola Toluwalase, T. (2025). Regional assimilation of syntax-pragmatic markers of Nigerian English in contemporary literary texts. Linguistic Exploration, 2(1), 60–77.

  • Onmoke, E. A., & Babatunde, S. A. (2025). Conflict-motivated speech: An appraisal contrastive analysis of Putin’s and Zelensky’s speeches. LASU Journal of Humanities, 17(2), 22–46.

  • Babatunde, S., & Ojile, E. (2025). A survey of language shift in communicative domain preferences among Idoma youths. Language Matters, 55(3), 28–52.

 

Zhiwei Meng | Autonomous Driving | Best Researcher Award

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Dr. Zhiwei Meng | Autonomous Driving | Best Researcher Award

Jilin University | China

Dr. Zhiwei Meng is an accomplished researcher whose work focuses on autonomous driving, vehicle trajectory prediction, and artificial intelligence applications in intelligent transportation systems. His research integrates advanced deep learning frameworks, attention mechanisms, and generative adversarial networks (GANs) to enhance the precision and safety of autonomous vehicle navigation. Dr. Zhiwei Meng has authored and co-authored several SCI-indexed publications in high-impact journals such as Expert Systems with Applications, IEEE Transactions on Vehicular Technology, and the Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. His notable contributions, including the VectorNet-Interaction-GAN and Hierarchical Mamba frameworks, demonstrate innovation in predictive modeling and motion analysis. With 14 research papers, 39 citations, and an h-index of 4, Dr. Zhiwei Meng has established himself as a promising scholar in the field of intelligent mobility and computational vehicle dynamics, consistently contributing to advancements in data-driven decision-making for autonomous systems.

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Featured Publications

He, R., Meng, Z., Jia, R., Cui, S., Zhang, S., & Chang, Y. (2025). HMambaOcc: Hierarchical Mamba for occupancy flow field prediction in autonomous driving under mixed traffic environments. Expert Systems with Applications, 130056.

He, R., Chang, Y., Zhang, S., Meng, Z., & Li, W. (2025). Personalized car-following strategy based on convolutional variational autoencoder and mildly conservative Q-learning. IEEE Transactions on Vehicular Technology, 3559314.

He, R., Meng, Z., Zhang, S., Cui, S., Chang, Y., Jin, X., Bai, R., & Xu, T. (2025). The SGC-Informer-based deep learning framework: Managing the efficiency–accuracy trade-off in vehicle trajectory prediction. IEEE Transactions on Vehicular Technology, 3561946.

Meng, Z., He, R., Wu, J., Zhang, S., Bai, R., & Zhi, Y. (2025). GIVA: Interaction-aware trajectory prediction based on GRU-improved VGG-attention mechanism model for autonomous vehicles. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

He, R., Chang, Y., Zhang, S., Meng, Z., Jin, X., Bai, R., & Li, K. (2025). Microscopic traffic flow modeling method based on driving style. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

Mohammad Sadegh Taghizadeh | Drug Discovery | Best Researcher Award

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Dr. Mohammad Sadegh Taghizadeh | Drug Discovery | Best Researcher Award

Shiraz University | Iran

Dr. Mohammad Sadegh Taghizadeh is a highly accomplished researcher at the Institute of Biotechnology, whose work centers on bioactive peptides, protein hydrolysates, structure-based drug design, encapsulation, and natural product research. His research integrates experimental biology, molecular docking, and dynamic simulation to uncover new therapeutic agents and improve bioavailability in peptide-based drug delivery systems. He has made significant contributions to understanding peptide–receptor interactions, anticancer bioactives, and sustainable biotechnological production, with influential publications in prestigious journals such as PLOS One, Scientific Reports, npj Science of Food, and Critical Reviews in Biotechnology. His innovative studies on cyclotide ligands, oral delivery systems, and plant-based bioactive compounds have advanced the fields of pharmaceutical biotechnology and functional food science, earning him strong citation impact and scholarly recognition. In addition to his research, Dr. Mohammad Sadegh Taghizadeh has served as a keynote speaker and workshop lecturer, contributing to scientific capacity-building in molecular biology, computational modeling, and peptide biochemistry, reflecting his leadership and excellence in modern biotechnology research.

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Featured Publications

  • Taghizadeh, M. S., Niazi, A., Moghadam, A., & Afsharifar, A. (2022). Experimental, molecular docking and molecular dynamic studies of natural products targeting overexpressed receptors in breast cancer. PLOS ONE, 17(5), e0267961.

  • Mirzapour-Kouhdasht, A., McClements, D. J., Taghizadeh, M. S., Niazi, A., & others. (2023). Strategies for oral delivery of bioactive peptides with focus on debittering and masking. npj Science of Food, 7(1), 22.

  • Mirzapour-Kouhdasht, A., Sabzipour, F., Taghizadeh, M. S., & others. (2019). Physicochemical, rheological, and molecular characterization of colloidal gelatin produced from common carp by-products using microwave and ultrasound-assisted extraction. Journal of Texture Studies, 50(5), 416–425.

  • Taghizadeh, M. S., Retzl, B., Muratspahić, E., Trenk, C., Casanova, E., & Gruber, C. W. (2022). Discovery of the cyclotide caripe 11 as a ligand of the cholecystokinin-2 receptor. Scientific Reports, 12(1), 9215.

  • Shahraki, Z., Taghizadeh, M. S., Niazi, A., Rowshan, V., & Moghadam, A. (2024). Enhancing bioactive compound production in Salvia mirzayanii through elicitor application: Insights from in vitro and in silico studies. Food Bioscience, 60, 104185.

Faujiah Nurhasanah Ritonga | Molecular Biology | Best Researcher Award

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Dr. Faujiah Nurhasanah Ritonga | Molecular Biology | Best Researcher Award

Universitas Sumatera Utara | Indonesia

Dr. Faujiah Nurhasanah Ritonga is an accomplished plant biologist and formerly associated with the Shandong Academy of Agricultural Sciences, China. Her research centers on plant molecular biology, genetics, and physiological adaptation to abiotic stresses, particularly focusing on cold, salt, and drought stress tolerance mechanisms. She employs genomic, transcriptomic, and metabolomic approaches to explore stress-responsive genes and regulatory networks in economically important species such as Betula platyphylla, Populus, and Brassica rapa. With 17 peer-reviewed publications, over 749 citations, and an h-index of 8, her studies published in reputed journals like Plants, Forests, Frontiers in Bioscience, and Physiology and Molecular Biology of Plants demonstrate a strong global research impact. Her scholarly contributions advance understanding in tree genetics, plant stress physiology, and molecular breeding, making her a leading researcher in the field of plant biotechnology and environmental adaptation.

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Featured Publications

  • Ritonga, F. N., & Chen, S. (2020). Physiological and molecular mechanism involved in cold stress tolerance in plants. Plants, 9(5), 560.

  • Khoso, M. A., Hussain, A., Ritonga, F. N., Ali, Q., Channa, M. M., Alshegaihi, R. M., Meng, Q., Ali, M., Zaman, W., Brohi, R. D., & Manghwar, H. (2022). WRKY transcription factors (TFs): Molecular switches to regulate drought, temperature, and salinity stresses in plants. Frontiers in Plant Science, 13, 1039329.

  • Ritonga, F. N., Ngatia, J. N., Wang, Y., Khoso, M. A., Farooq, U., & Chen, S. (2021). AP2/ERF, an important cold stress-related transcription factor family in plants: A review. Physiology and Molecular Biology of Plants, 27(9), 1953–1968.

  • Ritonga, F. N., Zhou, D., Zhang, Y., Song, R., Li, C., Li, J., & Gao, J. (2023). The roles of gibberellins in regulating leaf development. Plants, 12(6), 1243.

  • Ritonga, F. N., Ngatia, J. N., Song, R. X., Farooq, U., Somadona, S., Lestari, A. T., & Chen, S. (2021). Abiotic stresses induced physiological, biochemical, and molecular changes in Betula platyphylla: A review. Silva Fennica, 55(3).

Jose Luis Reyes Barragan | Materials Science | Leadership in Research Excellence Award

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Prof. Dr. Jose Luis Reyes Barragan | Materials Science | Leadership in Research Excellence Award

Universidad Politécnica de la Zona Metropolitana de Guadalajara | Mexico

Prof. Dr. José Luis Reyes Barragán is a prominent materials scientist and nanotechnology researcher at the Universidad Politécnica de la Zona Metropolitana de Guadalajara, Mexico. His research focuses on nanostructured coatings, thermomechanical processing of metals, corrosion behavior, and advanced ceramic and metallic composites. He has contributed to six peer-reviewed publications in high-impact journals such as Metals, Applied Sciences, Materials, and Advances in Materials Science and Engineering, accumulating 19 citations and an h-index of 2. His innovative projects bridge fundamental and applied research, including the development of gel-based cleaning agents for cultural heritage restoration, hydrotherapy and whey treatment technologies, and sustainability initiatives in materials engineering. As a member of the National System of Researchers (SNI-CONACYT) and contributor to industrial standards through CANACERO, Prof. Dr. José Luis Reyes Barragán exemplifies leadership in advancing nanoscience, metallurgy, and sustainable materials research in Mexico.

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Featured Publications

Porcayo-Calderon, J., Rodriguez-Diaz, R. A., de la Vega Olivas, J., Arrieta-Gonzalez, C. D., Gonzalez-Rodriguez, J. G., Chacón-Nava, J. G., & Reyes-Barragán, J. L. (2025). Effect of Cu and Ag content on the electrochemical performance of Fe40Al intermetallic alloy in artificial saliva. Metals, 15(8), 899.

Calderón, J. P., Reyes Barragán, J. L., Barraza Fierro, J. I., Cruz Mejía, H., Arrieta González, C. D., Ravelero Vázquez, V., Sánchez, K. P., Torres-Mancera, M. T., & Retes-Mantilla, R. F. (2022). Corrosion behavior of Al modified with Zn in chloride solution. Materials, 15(12), 4229.

Rodríguez Díaz, R. A., Gonzaga Segura, S. R., Reyes Barragán, J. L., Ravelero Vázquez, V., Molina Ocampo, A., Porcayo Calderón, J., Cruz Mejía, H., González Rodríguez, C. A., & Barraza Fierro, J. I. (2021). The synthesis of aluminum matrix composites reinforced with Fe–Al intermetallic compounds by ball milling and consolidation. Applied Sciences, 11(19), 8877.

Reyes Barragán, J. L., Rodríguez Díaz, R. A., Ojeda Martínez, M. L., Gaona Jiménez, S., & Juárez Islas, J. A. (2019). Effect of isothermal treatment on microstructure and mechanical properties of cold-deformed IF steel. Advances in Materials Science and Engineering, 2019(1), 8674323.

Rodríguez-Díaz, R. A., Reyes-Barragán, J. L., Arrieta-González, C. D., & Porcayo-Calderón, J. (2020). Corrosion assessment of Ag and Cr modified Fe40Al intermetallic alloy in Hank’s solution by electrochemical noise. International Journal of Electrochemical Science, 15(8), 7228–7241.