Yunwen Xu | Engineering | Best Researcher Award

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Dr. Yunwen Xu l Engineering
| Best Researcher Award

Shanghai Jiao Tong University | China

Dr. Yunwen Xu’s research focuses on advancing intelligent transportation systems, autonomous driving control, and predictive control for complex and embedded systems. Her innovative work integrates graph-based spatial-temporal modeling, data-driven control algorithms, and real-time optimization to enhance vehicle trajectory prediction, traffic signal management, and collaborative control in large-scale dynamic environments. Through over 50 high-impact publications, including 15 in top-tier journals and several ESI highly cited papers, Dr. Xu has significantly contributed to the theoretical and practical foundations of predictive control and intelligent mobility. Her research achievements include developing FPGA-based predictive controllers, robust model predictive frameworks, and reinforcement learning-based control systems for V2X-enabled autonomous vehicles. By leading national and provincial research projects and collaborating internationally with institutions like Purdue University and industrial partners such as Shanghai Electric Wind Power Group, she bridges the gap between academic innovation and industrial application. Her patents and successful technology transfers in microgrid energy management and advanced temperature control demonstrate the translational strength of her research. Recognized with prestigious honors, including the Best Paper Award at the Chinese Process Control Conference and championship at the Autonomous Driving Algorithm Challenge, Dr. Xu continues to pioneer next-generation control and automation technologies that drive the evolution of intelligent, efficient, and sustainable transportation ecosystems.

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Featured Publications

Gidado M. J | Agricultural and Biological Sciences | Young Scientist Award

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Dr. Gidado M. J. l Agricultura l and Biological Sciences
| Young Scientist Award

University Malaysia Perlis | Nigeria

Dr. Gidado M. J. is a distinguished researcher in postharvest technology, food innovation, and nanotechnology, with a focus on developing sustainable solutions for fruit quality preservation and food safety. His work integrates green chemistry, biopolymer-based coatings, and hydrophobic deep eutectic solvent nanoemulsions to extend shelf life, control postharvest pathogens, and improve the physiological and biochemical quality of horticultural produce. By combining experimental, computational, and AI-driven approaches, he has advanced understanding of fruit physiology, microbial inhibition, and smart packaging systems. His research contributions include the design of nanobiocomposite films, edible coatings functionalized with bioactive compounds, and intelligent sensing platforms for real-time monitoring of postharvest quality. With over 20 publications in high-impact journals, one patent, and multiple awards for scientific excellence, Dr. Gidado has demonstrated significant impact on sustainable agriculture, circular food systems, and postharvest innovation. His interdisciplinary work bridges academia and industry, fostering eco-friendly technologies, digital biotechnology integration, and knowledge transfer for enhanced food security and preservation practices worldwide.

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Featured Publications

Gidado, M. J., Gunny, A. A. N., Gopinath, S. C. B., Ali, A., Wongs-Aree, C., … (2024). Challenges of postharvest water loss in fruits: Mechanisms, influencing factors, and effective control strategies–A comprehensive review. Journal of Agriculture and Food Research, 101249. https://doi.org/10.1016/j.jafr.2024.101249

Gidado, M. J., Gunny, A. A. N., Gopinath, S. C. B., Wongs-Aree, C., Yusoff, N. H. A., … (2024). Effect of hydrophobic deep eutectic oil-in-water nano coating on the quality preservation of postharvest ‘Harumanis’ mango. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 691, 133818. https://doi.org/10.1016/j.colsurfa.2024.133818

Gidado, M. J., Gunny, A. A. N., Gopinath, S. C. B., Wongs-Aree, C., Makhtar, M. M. Z., … (2023). Formulation of selective hydrophobic deep eutectic oil-in-water nanoemulsion as green fungicides for mitigating anthracnose fungus Colletotrichum gloeosporioides. Process Biochemistry, 135, 40–49. https://doi.org/10.1016/j.procbio.2023.01.010

Gidado, M. J., Gunny, A. A. N., Sankari, R. S. A., Gopinath, S. C. B., … (2023). Delaying the ripening of banana fruit and increased storage shelf-life using hydrophobic deep eutectic oil (Menthol–Thymol)-In-Water nanoemulsion coating. International Conference on Biomass Utilization and Sustainable Energy, 13–22.

Gidado, M. J., Gunny, A. A. N., Gopinath, S. C. B., Devi, M., Jayavalli, R., Ilyas, R. A. (2025). Challenges in selecting edible coating materials for fruit postharvest preservation and recent advances in edible coating techniques: A review. Journal of Food Science and Technology, 1–11. https://doi.org/10.1007/s13197-025-07015-4

Vanlalhmangaihsanga | Veterinary | Young Scientist Award

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Assist. Prof. Dr. Vanlalhmangaihsanga l Veterinary
| Young Scientist Award

Skisha ‘O’ Anusandhan | India

Assist. Prof. Dr. Vanlalhmangaihsanga research focuses on livestock production management, with particular emphasis on swine and poultry performance, welfare, and sustainable animal husbandry practices. His studies explore the physiological, behavioral, and production impacts of various management interventions such as castration methods, weaning systems, and stocking density optimization under Indian farming conditions. He has conducted comparative evaluations of surgical and chemical castration agents (AgNO₃ and KMnO₄) on growth and carcass quality in pigs, providing valuable insights for humane and cost-effective production systems. His research extends to assessing the effects of environmental and management factors—such as flooring type, weaning age, and feed conversion efficiency—on animal welfare and productivity. In poultry science, his collaborative studies analyze the performance and economic viability of different broiler and layer strains (COBB 430 Y and BV 300) under intensive rearing systems, focusing on feed conversion ratio, mortality rate, and financial sustainability. His contributions also include the molecular detection of haemoprotozoan pathogens in ticks, highlighting his interdisciplinary approach that connects animal health with production efficiency. Dr. Vanlalhmangaihsanga’s research outcomes, published in journals such as Veterinaria, Journal of Advances in Biology & Biotechnology, and International Journal of Chemical Studies, contribute significantly to optimizing livestock productivity, improving animal welfare, and promoting sustainable farming practices. His ongoing investigations in livestock behavior, stress mitigation, and performance enhancement aim to support evidence-based strategies for efficient, ethical, and resilient animal production systems in tropical environments.

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Featured Publications

Roy, N. K., Praharaj, N., Mohanty, S., & Majumder, S. (2025). Performance and financial analysis in broiler (COBB 430 Y strain): A case study on the feed conversion ratio and mortality rate. Veterinaria, 74(1), 113–123.

Sandhu, K., Singh, A. K., Singh, Y., Chahal, U., & Malik, D. S. (2024). Impact of stocking density on welfare, behavior, and growth performance of Large White Yorkshire pigs under Indian condition. Journal of Advances in Biology & Biotechnology, 27(12), 21–30.

Vanlalhmangaihsanga, L. H. (2021). Comparison of carcass characteristics between KMnO₄ and AgNO₃ as chemical castration in finisher pigs. Journal of Veterinary Medicine & Surgery, 5(3), 37.

Vanlalhmangaihsanga, L. H., Kalita, G., Goswami, R., & Samanta, A. K. (2019). Effect of surgical castration and chemical castrations (AgNO₃ and KMnO₄) on the production performance of growing finishing pigs. International Journal of Chemical Studies (IJCS), 7(4), 2819–2821.

Majumder, S., Vanlalhmangaihsanga, S. S., & Kumar, N. (n.d.). A comprehensive study on production performance in COBB 430 Y strain of broiler and BV 300 strain layer reared in intensive poultry farm of IVSAH, SOA.

Jing Fan | Environmental Science | Best Researcher Award

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Assoc. Prof. Dr. Jing Fan l Environmental Science
| Best Researcher Award

Zhaotong University | China

Assoc. Prof. Dr. Jing Fan the research focuses on advancing understanding of geological and hydrological disaster mechanisms with particular emphasis on rock fracture behavior, structural evolution, and fluid migration in complex subsurface environments. Central themes include the analysis of structural plane connectivity in landslide-prone rock masses and the development of models to predict multi-factor disaster-pregnancy mechanisms in tectonically active regions such as the Jinsha River Basin. By integrating field investigations, laboratory experiments, and numerical simulations, the studies aim to reveal how geological structures influence water conduction, stability, and energy transfer within fractured rock systems. Recent work explores the coupling effects between mechanical stress, fluid flow, and seismic responses to improve risk assessment and early warning for geological disasters. A key contribution includes the development of a double-layered seismo-electric method for characterizing groundwater seepage fields in high-level waste disposal sites, offering a novel approach to detect and evaluate subsurface hydrogeological conditions. The research collectively contributes to disaster prevention, sustainable resource management, and environmental safety by providing quantitative frameworks and innovative methodologies to understand, model, and mitigate risks associated with complex geological processes.

Profile:  Orcid  

Featured Publications

Fan, J., Meiliya, Y., Wu, S., Du, G., & Chen, L. (2025, September). A double-layered seismo-electric method for characterizing groundwater seepage fields in high-level waste disposal. Water. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/w17192848

Fan, J., Wang, R., & Hua, J. (2025, September 22). Ground sound recognition method for evolution of post-sliding fractures at the slope edge based on GIS and machine learning models. Proceedings of the 2025 Annual Conference of the Chinese Geographical Society.

Meiliya, Y., Fan, J., & Zhang, H. (2025, July 9). Legal regulation of algorithm discrimination and construction of digital fairness platform. Law.

Fan, J., Yusuupjiang, M., & Lv, X. (2025, June 14). Characteristics of permeable structure of Beishan granite and three-dimensional detection research by high-density electromagnetic method. Soil Science.

Mujeeb Abiola Abdulrazaq | engineering | Young Scientist Award

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Mr. Mujeeb Abiola Abdulrazaq l engineering
| Young Scientist Award

University of North Carolina at Charlotte | United States

Mr. Mujeeb Abiola’s research focuses on advancing transportation safety and efficiency through data-driven methodologies and emerging technologies. His work extensively employs large-scale traffic and crash data, including millions of federal highway administration records, to investigate the spatiotemporal dynamics of pedestrian crashes and the evolution of crash hotspots. Utilizing advanced statistical and machine learning models, he has developed predictive frameworks that outperform traditional Highway Safety Manual standards, providing robust insights into risk factors and injury severity in both human-driven and autonomous vehicle contexts. His research on connected and autonomous vehicles (CAVs) has led to the development of traffic control algorithms that significantly enhance safety, operational efficiency, and environmental sustainability in freeway work zones. Furthermore, his studies integrate GPU-accelerated data processing, simulation-based optimization, and multi-level heterogeneity modeling to evaluate vulnerable road user behavior and assess dynamic collision risks. Through simulation platforms such as VISSIM and SUMO, combined with Python-based data analysis and GIS applications, his work systematically addresses complex traffic scenarios, including merging, diverging, and weaving segments, while also accounting for seasonal variations and temporal constraints in crash determinants. His contributions include empirical analyses of autonomous vehicle incidents, methodological advancements in microsimulation accuracy, and development of actionable strategies for real-world traffic management, ultimately aiming to improve roadway safety, inform policy, and guide evidence-based planning in modern transportation systems.

Profile:  Google Scholar 

Featured Publications

  • Abdulrazaq, M. A., & Fan, W. D. (2024). Temporal dynamics of pedestrian injury severity: A seasonally constrained random parameters approach. International Journal of Transportation Science and Technology, 9.

  • Abdulrazaq, M. A., & Fan, W. (2025). A priority based multi-level heterogeneity modelling framework for vulnerable road users. Transportmetrica A: Transport Science, 1–34. https://doi.org/10.1080/23249935.2025.2516817

  • Abdulrazaq, M. A., & Fan, W. (2025). Seasonal instability in crash determinants: A partially temporally constrained modeling analysis. SSRN 5341417. https://doi.org/10.2139/ssrn.5341417

ABDALLAH ALDAHOUK | Biomedical engineering | Best Researcher Award

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Mr. ABDALLAH ALDAHOUK l Biomedical engineering
| Best Researcher Award

Istanbul University-Cerrahpaşa | State of Palestine

Mr. ABDALLAH ALDAHOUK , the research conducted focuses on the validation and application of Monte Carlo simulation techniques using GATE (Geant4 Application for Tomographic Emission) software for modeling computed tomography (CT) imaging systems. This work aims to enhance the accuracy and efficiency of CT imaging through advanced computational modeling, allowing precise evaluation of image quality parameters and radiation dose distribution. By employing the Catphan CTP404 phantom, the study investigates the reliability of simulated data in replicating clinical imaging conditions, ensuring that virtual simulations closely mirror real-world CT performance. The research contributes to the optimization of CT imaging protocols, reduction of patient radiation exposure, and improvement of diagnostic accuracy. It further explores the integration of simulation-based calibration and validation methods in biomedical imaging, providing a framework for developing next-generation imaging systems with enhanced resolution and safety. The findings demonstrate the potential of GATE-based Monte Carlo simulations as a powerful tool for medical physicists and biomedical engineers to design, assess, and refine imaging systems without the need for extensive experimental trials. This work represents a significant advancement in computational biomedical engineering, bridging theoretical modeling and clinical imaging applications for improved healthcare diagnostics and imaging innovation.

Profile:  Orcid 

Featured Publication

Aldahouk, A. W., Sezdi, M., & Demir, M. (2026, February). Validation of GATE-based Monte Carlo simulation for clinical CT imaging using the Catphan CTP404 phantom. Radiation Physics and Chemistry, 218, 113364. https://doi.org/10.1016/j.radphyschem.2025.113364

María José Montaño Zuñiga | Psychology | Best Researcher Award

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Mrs. María José Montaño Zuñiga
l Psychology | Best Researcher Award

Universidad Manuela Beltran | United States

Mrs. María José Montaño Zuñiga is a dedicated psychologist and independent researcher recognized for her strong leadership, communication, and commitment to social transformation, mental health, and human rights advocacy. A graduate in Psychology from Universidad Manuela Beltrán, Bogotá, she also holds advanced certifications in Forensic Psychology, Suicide Prevention and Intervention, and Psychological First Aid, complemented by training from international institutions such as the Supreme Court of Justice of Mexico, UNICEF, and the Pan American Health Organization. Her professional journey spans diverse contexts—clinical, psychosocial, legal, and forensic—with significant contributions to the Defensoría del Pueblo, where she worked on human rights verification for incarcerated populations and the development of post-penitentiary psychosocial programs. She has presented research at national conferences, including the Congreso Colombiano de Psicología, and achieved first place at the VI Encuentro de Semilleros de Investigación for her study on post-penitentiary interventions. Her current research, accepted for publication in the Journal of Forensic Psychology Research and Practice (Taylor & Francis, 2025), explores psychosocial, criminal, and penitentiary factors influencing ex-inmates’ attitudes toward crime. Through an international cultural exchange as an Au Pair in the United States (2024–2026), she continues to develop intercultural communication, adaptability, and child development competencies, embodying ethical, human-centered practice and a passion for transformative psychology.

Profile: Orcid 

Featured Publication 

Montaño-Zuñiga, M. J., Mendivelso-Gómez, L. F., Suescún-Torres, P. D., & Botero-Giraldo, M. P. (2025). Psychosocial, criminal, and penitentiary factors associated with attitudes toward crime in Colombian ex-offenders. Journal of Forensic Psychology Research and Practice. Advance online publication. https://doi.org/10.1080/24732850.2025.2563230

Vijayalakshmi Pandurangan | Chemistry | Young Scientist Award

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Dr. Vijayalakshmi Pandurangan l Chemistry | Young Scientist Award

SIMATS Deemed University | India

Dr. Vijayalakshmi Pandurangan is a distinguished researcher in Chemistry with a strong focus on nanocomposite synthesis, photocatalysis, and environmental sustainability. She earned her Ph.D. in Chemistry (2020–2024) from Tamil Nadu Open University, Chennai, for her highly commended doctoral research titled “Synthesis of Nanocomposites and Its Photocatalytic Degradation Efficiency on Organic Pollutants.” She also holds an M.Sc. in Chemistry from the University of Madras, a B.Ed. in Physical Science from Pondicherry University, and an M.Ed. in Education from The Tamil Nadu Teacher Education University. Dr. Vijayalakshmi is currently preparing for a prestigious three-month IIPP Research Internship at the National Taipei University of Technology, Taiwan (July–September 2025). Her research interests encompass energy storage and conversion, CO₂ reduction, water splitting, electrochemistry, and molecular docking. Skilled in advanced characterization tools such as XRD, SEM, TEM, FTIR, and UV-Vis spectroscopy, she has authored 10 scientific publications in high-impact journals, including Ionics, ChemistrySelect, Electrochimica Acta, and Langmuir. Her research has been cited 7 times by 7 documents, with a Scopus h-index of 2 (Scopus ID: 57197218673; ORCID: 0009-0003-0232-7621). Dr. Vijayalakshmi has actively participated in international conferences and workshops, contributing to global scientific discourse. She remains committed to advancing green technologies and developing sustainable solutions for environmental and energy challenges through innovative, interdisciplinary research.

Profile: Scopus | Orcid 

Featured Publication 

Mariappan, K., Sivaji, S. P., Chen, S. M., Sakthinathan, S., Chen, C. L., Vijayalakshmi, P., Mariappan, C., Murugan, S. B., & Chiu, T. W. (2025). An experimental method for the sensitive detection of carbendazim using a glassy carbon electrode modified with bismuth ferrite anchored on carbon black composites. Microchemical Journal, 114500. https://doi.org/10.1016/j.microc.2025.114500

Shubham Verma | Physics | Best Researcher Award

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Mr. Shubham Verma l Physics | Best Researcher Award

Sam Higginbottom University of Agriculture, Technology and Sciences | India

Mr. Shubham Verma, a Physics Author from Prayagraj, Uttar Pradesh, India, is a dedicated academic with a strong background in science and management. He completed his 10th and 12th education from the Uttar Pradesh Board with a science specialization in 2003 and 2005, respectively, and later earned a BBA (Hons) degree with a finance specialization from AAI-DU in 2010. His passion for scientific exploration led to the publication of his research paper titled “Advance Studies in Mathematical and Theoretical Physics” under IEEE-SEM (International European Extended Enablement in Science, Engineering, and Management) in October 2023. His research is accessible through his IEEE-SEM publication link and Google Scholar profile. Mr. Verma was also nominated for the prestigious Vigyan Yuva Shanti Swarup Bhatnagar Puraskar (National Science Award) in Physics, reflecting his growing recognition in the scientific community. Apart from physics, he holds a basic understanding of Earth Sciences, Biology, and Chemistry. Known for his hardworking nature, honesty, optimism, and self-confidence, he combines analytical thinking with a positive attitude. In his leisure time, he enjoys listening to music and watching scientific videos that enhance his intellectual curiosity and creativity.

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Featured Publication 

Haneen Alamirah | Engineering | Best Researcher Award

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Ms. Haneen Alamirah l Engineering
| Best Researcher Award

United Arab Emirates University | United Arab Emirates

Ms. Haneen Alamirah is an accomplished Architectural Engineer and researcher from the United Arab Emirates, specializing in occupant comfort in the built environment and sustainable building design. She holds a Bachelor’s degree in Architectural Engineering from the UAE University, a Master’s degree in Sustainable Critical Infrastructure from Khalifa University, and is currently pursuing her Ph.D. in Architectural Engineering at the UAE University . Her professional experience includes serving as a Graduate Teaching and Research Assistant at both Khalifa University and UAE University, where she has been involved in teaching, mentoring, and conducting advanced research in sustainability and human–environment interaction. Ms. Alamirah’s research contributions focus on the integration of immersive virtual environments for evaluating occupant comfort, adaptive behavior, and personal comfort models in shared spaces. Her scholarly work has been featured in high-impact journals such as Building and Environment and presented at international conferences including the Building Simulation Conference (2023, Shanghai; 2025, Brisbane) and the UAE Graduate Students Research Conference. With 68 citations and an h-index of 1 (Scopus ID: 57288505500), she continues to advance knowledge at the intersection of architecture, sustainability, and digital simulation tools, contributing to more resilient and human-centered design practices.

Profile: Scopus 

Featured Publication 

Alamirah, H. (2023, September). A bibliometric analysis of immersive virtual environment applications for occupant comfort and behavior research. In Proceedings of the Building Simulation Conference 2023 (p. 1397). Shanghai, China. https://doi.org/10.26868/25222708.2023.1397