Hisao Nakai | Disaster Management | Applied Scientist Award

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Dr. Hisao Nakai | Disaster Management | Applied Scientist Award

University of Kochi | Japan

Dr. Hisao Nakai’s research centers on public health, nursing science, mental health care, and disaster-related health outcomes, with a strong focus on vulnerable populations such as older adults, individuals with psychiatric disorders, family caregivers, and frontline healthcare workers. His work provides critical insights into how major public health emergencies—including the COVID-19 pandemic and the 2024 Noto Peninsula Earthquake—shape behavioral health patterns, continuity of medical care, evacuation decisions, and psychological well-being. Dr. Hisao Nakai’s has contributed impactful studies on outpatient care adherence among psychiatric patients following earthquakes, the factors associated with worsening psychiatric symptoms in home-based patients during disasters, and the complex proxy decision-making processes experienced by care managers supporting older adults living alone. His research also advances understanding of healthcare workforce sustainability by examining turnover intentions among nurses, employees assisting older adults living independently, and hospital staff caring for COVID-19 patients, identifying organizational, psychological, and environmental determinants that influence job retention. Additionally, he investigates caregiver burden among families of elderly cancer survivors and evaluates the relationship between quality of life, treatment experiences, and life satisfaction among aging populations undergoing medical care. Spanning disaster medicine, gerontology, community health, mental health nursing, and healthcare management, Dr. Hisao Nakai’s work frequently employs cross-sectional and retrospective methodologies to generate evidence-based recommendations for policy and clinical practice. With more than 110 citations, numerous peer-reviewed publications, and extensive interdisciplinary collaborations, his research consistently aims to strengthen patient safety, disaster preparedness, mental health continuity, and the overall well-being of patients, caregivers, and healthcare professionals within Japan’s rapidly aging society.

Profile: Orcid | Scopus

Featured Publications

  • Nitta, Y., Hashimoto, R., Shimizu, Y., Nakai, Y., & Nakai, H. (2025). Adherence to outpatient care among individuals with pre-existing psychiatric disorders following the 2024 Noto Peninsula Earthquake: A retrospective study. Psychiatry and Clinical Neurosciences Reports.

  • Itatani, T., Nakai, H., Takahashi, Y., & Togami, C. (2024). Factors associated with behavioral and weight changes across adult to elderly age groups during the COVID-19 pandemic. Nutrition Research and Practice, 18(4), 544–556.*

  • Nakai, H., Oe, M., & Nagayama, Y. (2024). Factors related to evacuation intention when a Level 4 evacuation order was issued among people with mental health illnesses using group homes in Japan: A cross-sectional study. Medicine.

  • Nakai, H., Ishii, K., & Sagino, T. (2024). Turnover intention among staff who support older adults living alone in Japan: A cross-sectional study. Social Sciences, 13(9), 463.*

  • Kitamura, Y., & Nakai, H. (2023). Factors associated with turnover intentions of nurses working in Japanese hospitals admitting COVID-19 patients. Nursing Reports, 13(2), 69–80.*

Binghui Xu | Machine Learning Assisted Computation | Best Researcher Award

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Prof. Binghui Xu | Machine Learning Assisted Computation | Best Researcher Award

Taizhou Vocational and Technical College | China

Prof. Binghui Xu is a researcher whose recent work focuses on machine learning, data-driven modeling, and computational intelligence, with applications across remote sensing, chemical engineering, environmental systems, and digital risk management. His research advances intelligent algorithms for solving complex real-world problems, emphasizing improved accuracy, predictive performance, and system-level optimization. In remote sensing, he has developed enhanced convolutional neural network architectures to achieve higher-precision image classification, addressing challenges related to feature extraction and large-scale datasets. His studies on cloud-based platforms highlight their critical role in supporting cancer-related research by enabling scalable data management, computational analytics, and collaborative scientific workflows. Prof. Xu has also applied supervised learning techniques to chemical and energy engineering, particularly for accurately predicting hydrogen content in bio-oil—an essential factor in assessing biofuel quality. His contributions to communication networks include proposing a quality-of-service control model for overlay convergence transmission, aimed at improving reliability and efficiency. Recently, he has extended machine learning methods to environmental research through the computation of water activity in ionic liquid–based aqueous ternary systems. He has also developed early warning systems for public risk perception and explored data association rule mining using genetic optimization, alongside graph attention–based image classification models. Collectively, Prof. Xu’s work integrates artificial intelligence, optimization algorithms, and applied modeling to deliver innovative solutions across multiple engineering and technological domains.

Profile: Scopus

Featured Publications

  • Xu, B. (2025). Machine learning-assisted computation of water activity for ionic liquid-based aqueous ternary elements. Desalination and Water Treatment, 10.

  • Xu, B. (2021). Improved convolutional neural network in remote sensing image classification. Neural Computing & Applications, 7, 8169–8180.

  • Xu, B., & Fengcheng. (2022). The roles of cloud-based systems on cancer-related studies: A systematic literature review. IEEE Access, 10, 64126–64145.

  • Xu, B., Chen, T.-C., & Danial, A. (2021). Application of a supervised learning machine for accurate prognostication of hydrogen contents of bio-oil. International Journal of Chemical Engineering, 7.

  • Xu, B., & Yan, W. (2020). A QoS control model in overlay convergence transmission. UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science, 82(4), 103–118.

Agata Kołodziejczyk | Microgravity Research | Best Paper Award

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Dr. Agata Kołodziejczyk | Microgravity Research | Best Paper Award

AGH University of Kraków | Poland

Dr. Agata Maria Kołodziejczyk is a distinguished neurobiologist and space life sciences researcher whose interdisciplinary expertise integrates neurobiology, astrobiology, and space technology. She earned her Ph.D. in Neurobiology from the University of Stockholm and has since become a leading innovator in bioastronautics and analog space research. Currently, Dr. Agata Maria Kołodziejczyk leads the Bioastronautics Group–Habitat at the Faculty of Space Technologies, AGH University of Krakow, where she develops advanced laboratories focused on studying biological responses to microgravity, radiation, and other space-like conditions. Her research encompasses plant physiology under microgravity, microbial adaptation in stratospheric environments, the development of biomaterials such as bacterial cellulose for radiation shielding, and human physiological responses during simulated space missions. A recipient of the prestigious FNP Rojszczak Prize for combining biology with astronomy, she has also been recognized as a three-time first-prize winner in the Global Space Balloon Challenge for pioneering astrobiological experiments conducted in the stratosphere. Dr. Agata Maria Kołodziejczyk’s contributions include high-impact publications in Food Chemistry, Cellulose, Applied Sciences, and European Journal of Applied Physiology. Beyond academia, she is the founder and co-owner of the Analog Astronaut Training Center in Rzepiennik Strzyżewski—the first analog space base simulator in Poland—where she trains analog astronauts and space professionals. Through her visionary research and leadership, Dr. Agata Maria Kołodziejczyk is shaping the future of space biology, sustainable life-support systems, and human adaptation for long-duration missions beyond Earth.

Profiles: Google Scholar | Orcid | Scopus

Featured Publications

  • Markiewicz, M., Galanty, A., Kołodziejczyk, A. M., Żmudzki, P., Prochownik, E., Zagrodzki, P., & Paśko, P. (2025). Bioactive compounds accumulation in Brassica sprouts grown under microgravity and darkness: A novel approach to functional foods. Food Chemistry, 145324.

  • Markiewicz, M., Galanty, A., Prochownik, E., Kołodziejczyk, A. M., & Paśko, P. (2025). Innovative production of bioactive white clover sprouts under microgravity: Towards functional foods supporting prostate health. Applied Sciences, 15(21), 11668.

  • Kołodziejczyk, A. M., Lewandowski, M., Nawrot, A., & Sobota, I. (2025). Polar stations as testing platforms for space analogue simulations: Case study for Polish potential. Arctic, Antarctic, and Alpine Research, 57(1).

  • Kołodziejczyk, A. M., Silarski, M., Kaczmarek, M., Harasymczuk, M., Dziedzic-Kocurek, K., & Uhl, T. (2024). Shielding properties of the kombucha-derived bacterial cellulose. Cellulose, 32(12), 1–15.

  • Giacon, T. A., Mrakic-Sposta, S., Bosco, G., Vezzoli, A., Dellanoce, C., Campisi, M., Narici, M., Paganini, M., Foing, B., Martinelli, M., & Kołodziejczyk, A. M. (2024). Environmental study and stress-related biomarkers modifications in a crew during analog astronaut mission EMMPOL 6. European Journal of Applied Physiology, 124(10), 2231–2245.

 

Jacek Wilczyński | Posturology | Best Applied Science Award

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Prof. Jacek Wilczyński | Posturology | Best Applied Science Award

Jan Kochanowski University | Poland

Prof. Jacek Wilczyński is a prominent Polish scientist and academic recognized for his extensive research in posturology, physiotherapy, and corrective kinesiology. He serves as a Professor at the Jan Kochanowski University in Kielce, where he heads the Laboratory of Posturology within the Collegium Medicum. His distinguished academic journey includes a Master’s degree in Physical Education (1986), a Doctorate in Physical Culture Sciences (1997), a Habilitation (2010), and a Master’s in Physiotherapy (2012). Prof. Wilczyński’s research primarily explores posture defects, postural stability, balance and gait disorders, and the neurophysiological mechanisms involved in maintaining equilibrium. He investigates the complex interactions between vestibulospinal, vestibulo-optic, and vestibulo-oculomotor reflexes, as well as the autonomic nervous system’s role in children with scoliosis and postural abnormalities. His work also integrates spectral analysis of postural and cardiac responses, providing insights into the relationships between posture, stress resistance, and vagal tone. Author of more than 50 scientific works, including influential publications in Sensors, Journal of Clinical Medicine, and International Journal of Environmental Research and Public Health, Prof. Wilczyński employs advanced diagnostic technologies such as the Diers formetric III 4D system and Framiral Multitest Equilibre to analyze body alignment and stability. His innovative typology of body posture and evidence-based approaches have significantly influenced modern postural therapy, rehabilitation methods, and preventive health strategies, establishing him as a leading expert in the interdisciplinary field of postural and functional body assessment.

Profiles: Scopus | Orcid

Featured Publications

  • Wilczyński, J. (2025). Own typology of body posture based on research using the Diers Formetric III 4D system. Journal of Clinical Medicine, 14(2), 501.

  • Wilczyński, J., Habik Tatarowska, N., & Mierzwa-Molenda, M. (2023). Deficits of sensory integration and balance as well as scoliotic changes in young schoolgirls. Sensors, 23(3), 1172.

  • Wilczyński, J., Sowińska, A., & Mierzwa-Molenda, M. (2022). Physiotherapy as a specific and purposeful form of physical activity in children with idiopathic body asymmetry. International Journal of Environmental Research and Public Health, 19(22), 15008.

  • Wilczyński, J., Sobolewski, P., Zieliński, R., Kabała, M., & Lipińska-Stańczak, M. (2020). Body posture defects and body composition in school-age children. Children, 7(11), 204.

  • Wilczyński, J., Karolak, P., Janecka, S., Kabała, M., & Habik-Tatarowska, N. (2019). The relationship between the angle of curvature of the spine and SEMG amplitude of the erector spinae in young school-children. Applied Sciences, 9(15), 3115.*

Vladimir Chigrinov | Nanotechnology Innovations | Best Paper Award

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Prof. Dr. Vladimir Chigrinov | Nanotechnology Innovations | Best Paper Award

Hong Kong University of Science and Technology | Russia

Prof. Dr. Vladimir G. Chigrinov is a distinguished scientist and Professor Emeritus in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST). Renowned worldwide for his groundbreaking contributions to liquid crystal science and electro-optical technology, he has played a pivotal role in advancing photoalignment, photopatterning, and ferroelectric liquid crystal (FLC) research. His pioneering work has led to the development of innovative liquid crystal display (LCD) configurations, optically rewritable electronic paper, and adaptive photonic devices. Prof. Dr. Chigrinov’s research spans electro-optical effects in liquid crystals, surface alignment mechanisms, and modeling and optimization of liquid crystal device performance, contributing fundamentally to both theory and application in display and photonic technologies. He has authored or co-authored over 470 scientific publications, with a remarkable 19,312 citations, an h-index of 63, and an i10-index of 298, reflecting his profound global research impact. His studies have enabled major advances in fast-switching display technologies, tunable optical systems, and energy-efficient photonic elements, effectively bridging the gap between fundamental physics and modern engineering applications. Through extensive international collaborations, Prof. Dr. Chigrinov continues to lead innovation in liquid crystal photonics, smart optical materials, and next-generation display technologies, cementing his reputation as one of the foremost authorities in liquid crystal physics and device engineering.

Profiles: Google Scholar | Scopus | Orcid

Featured Publications

  • Schadt, M., Schmitt, K., Kozinkov, V., & Chigrinov, V. G. (1992). Surface-induced parallel alignment of liquid crystals by linearly polymerized photopolymers. Japanese Journal of Applied Physics, 31(7 R), 2155–2164.

  • Blinov, L. M., & Chigrinov, V. G. (1994). Electrooptic effects in liquid crystal materials. Springer.

  • Chigrinov, V. G., Kozenkov, V. M., & Kwok, H.-S. (2008). Photoalignment of liquid crystalline materials: Physics and applications. Wiley.

  • Chigrinov, V. G. (1999). Liquid crystal devices: Physics and applications. Artech House.

  • Kiselev, A. D., Pozhidaev, E. P., & Chigrinov, V. G. (2019). Polarization gratings and electro-optics of deformed helix ferroelectric liquid crystals. Photonics Letters of Poland, 11(1), Article 182.

Fatemeh Rezaei | Agricultural Technology | Best Review Paper Award

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Assoc. Prof. Dr. Fatemeh Rezaei | Agricultural Technology | Best Review Paper Award

K. N. Toosi University of Technology | Iran

Assoc. Prof. Dr. Fatemeh Rezaei is an Associate Professor of Physics at K.N. Toosi University of Technology (KNTU), Iran, whose research centers on laser–plasma interactions, photonics, and biophotonics. Her primary focus lies in Laser-Induced Breakdown Spectroscopy (LIBS), where she investigates the mechanisms of self-absorption, optically thick plasma formation, and plasma parameter determination through both experimental and computational approaches. She has developed advanced models and correction methods for plasma emission spectra and applied machine learning and deep learning algorithms to enhance the accuracy of LIBS-based elemental analysis. Dr. Rezaei’s interdisciplinary work extends to laser-assisted cancer therapy, integrating photothermal and photodynamic techniques with nanoparticles such as gold and curcumin–magnetic composites for effective tumor treatment. Her expertise also includes laser Doppler vibrometry, LIDAR systems, plasma diagnostics, and nano–bio laser interactions, bridging optical physics with biomedical and industrial applications. Through her extensive research and collaborations, Dr. Rezaei has made significant contributions to the advancement of laser spectroscopy, plasma science, and laser-based therapeutic technologies, with her findings published in leading international journals such as Spectrochimica Acta B, Scientific Reports, and Applied Optics.

Profile: Google Scholar

Featured Publications

  1. Rezaei, F., Cristoforetti, G., Tognoni, E., Legnaioli, S., Palleschi, V., & Safi, A. (2020). A review of the current analytical approaches for evaluating, compensating and exploiting self-absorption in Laser Induced Breakdown Spectroscopy. Spectrochimica Acta Part B: Atomic Spectroscopy, 169, 105878.

  2. Ashkbar, A., Rezaei, F., Attari, F., & Ashkevarian, S. (2020). Treatment of breast cancer in vivo by dual photodynamic and photothermal approaches with the aid of curcumin photosensitizer and magnetic nanoparticles. Scientific Reports, 10(1), 21206.

  3. Rezaei, F., Karimi, P., & Tavassoli, S. H. (2014). Effect of self-absorption correction on LIBS measurements by calibration curve and artificial neural network. Applied Physics B, 114(4), 591–600.

  4. Safi, A., Tavassoli, S. H., Cristoforetti, G., Legnaioli, S., Palleschi, V., & Rezaei, F. (2019). Determination of excitation temperature in laser-induced plasmas using columnar density Saha-Boltzmann plot. Journal of Advanced Research, 18, 1–7.

  5. Aberkane, S. M., Safi, A., Botto, A., Campanella, B., Legnaioli, S., Poggialini, F., Rezaei, F., & Palleschi, V. (2020). Laser-Induced Breakdown Spectroscopy for determination of spectral fundamental parameters. Applied Sciences, 10(14), 4973.

Fatemeh Rezaei | LIBS Spectroscopy | Best Review Paper Award

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Assoc. Prof. Dr. Fatemeh Rezaei | LIBS Spectroscopy | Best Review Paper Award

Researcher | K. N. Toosi University of Technology | Iran

Assoc. Prof. Dr. Fatemeh Rezaei  is an Associate Professor of Physics at K. N. Toosi University of Technology and Managing Director of Pars Laser Nasir Company. Her research focuses on laser–plasma interactions, biophotonics, plasma emissions, and laser-induced breakdown spectroscopy (LIBS). She has made significant contributions to understanding plasma dynamics through both experimental and numerical approaches, particularly in the modeling of laser ablation, plasma expansion, and self-absorption correction in thick plasmas. Assoc. Prof. Dr. Fatemeh Rezaei’s interdisciplinary expertise spans cancer therapy using laser irradiation and nanoparticles, laser Doppler vibrometry, and simulation of plasma parameters. She has applied advanced machine and deep learning methods for quantitative plasma analysis and material characterization. Her research extends to the development of optical diagnostic instruments and laser-based analytical techniques, with numerous publications in high-impact journals such as Applied Optics, Scientific Reports, Physics of Plasmas, and Spectrochimica Acta B. She has authored book chapters on plasma spectroscopy and nanofluid thermal conductivity and holds patents for laser-based measurement devices. Assoc. Prof. Dr. Fatemeh Rezaei’s pioneering work bridges physics, optics, and biomedical engineering, contributing to advancements in laser diagnostics, optical sensing, and photonic applications in both industrial and medical fields.

Profile : Scopus | ORCID | Google Scholar 

Featured Publication

  • Rezaei, F., & Tavassoli, S. H. (2012). Numerical and experimental investigation of laser induced plasma spectrum of aluminum in the presence of a noble gas. Spectrochimica Acta Part B, 78, 29–36.

  • Rezaei, F., & Tavassoli, S. H. (2013). Developing the model of laser ablation by considering the interplay between emission and expansion of aluminum plasma. Physics of Plasmas, 20, 013301.

  • Rezaei, F., Karimi, P., & Tavassoli, S. H. (2013). Estimation of self-absorption effect on aluminum emission in the presence of different noble gases: Comparison between thin and thick plasma emission. Applied Optics, 52, 5088–5096.

  • Rezaei, F., Karimi, P., & Tavassoli, S. H. (2013). Effect of self-absorption correction on LIBS measurements by calibration curve and artificial neural network. Applied Physics B, 114, 591–600.

  • Rezaei, F., & Tavassoli, S. H. (2014). A new method for calculation of thick plasma parameters by combination of laser spectroscopy and shadowgraphy techniques. Journal of Analytical Atomic Spectrometry, 29, 2371–2378.

Gengfeng Jiang | Pollution Monitoring | Best Researcher Award

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Mr. Gengfeng Jiang | Pollution Monitoring |Best Researcher Award

Postgraduate | Guilin University of Technology |China

Mr. Gengfeng Jiang is an accomplished researcher affiliated with the China Education and Research Network and Guilin University of Technology, Beijing, China. His research primarily focuses on the complex interactions of high-temperature gases, combustion chemistry, and spectral modeling, contributing significantly to the advancement of low-carbon energy and environmental safety. Mr. Gengfeng Jiang’s work integrates experimental analysis with computational modeling to explore the spectral characteristics of chemical pool fires, offering valuable insights into pollutant formation, flame radiation, and combustion efficiency. His recent publication, “Investigating the Spectral Characteristics of High-Temperature Gases in Low-Carbon Chemical Pool Fires and Developing a Spectral Model,” published in Toxics, exemplifies his innovative approach to addressing pressing challenges in sustainable combustion and low-emission energy systems. Through interdisciplinary collaboration with experts in environmental science, chemical engineering, and materials research, Mr. Gengfeng Jiang contributes to developing predictive spectral models that can enhance the understanding and control of industrial combustion processes. His research outputs demonstrate a commitment to mitigating environmental risks associated with industrial emissions and advancing clean energy technologies. Recognized for his analytical precision and forward-thinking methodologies, Mr. Gengfeng Jiang continues to play a pivotal role in bridging scientific inquiry with practical applications for a greener, safer, and more energy-efficient future. His scholarly work embodies a synthesis of scientific rigor, environmental consciousness, and technological innovation, making him a distinguished figure in the field of combustion and low-carbon energy research.

Profile : ORCID

Featured Publication

Jiang, G., Chen, Z., Liang, Y., Li, P., Liu, Q., & Zhou, L. (2025). Investigating the spectral characteristics of high-temperature gases in low-carbon chemical pool fires and developing a spectral model. Toxics, 13(10), 877.

Yann Cao | wireless communication | Best Researcher Award

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Mrs. Yann Cao| wireless communication | Best Researcher Award

Teacher | Tianjin normal university | China

Mrs. Yanan Cao is a multidisciplinary researcher recognized for significant contributions spanning genomics, computational biology, artificial intelligence, and materials science. Affiliated with the University of Kentucky, Mrs. Yanan Cao’s work has garnered substantial academic impact, reflected in over 1,800 citations. Her early research made major advances in medical genetics, including the discovery of the  mutation linked to adrenal Cushing’s syndrome and the mutation in insulinoma, both published in Science and Nature. She later expanded her focus to large-scale population genomics through projects such as the China Map initiative, analyzing deep whole-genome sequences for metabolic and genetic insights. In computational research, Mrs. Yanan Cao has contributed to document-level relation extraction and graph neural network–based fraud detection, demonstrating expertise in machine learning and data-driven modeling. More recently, her collaborative work in energy materials has produced breakthroughs in hydrogen evolution catalysis and single-atom catalysts. Mrs. Yanan Cao’s interdisciplinary research portfolio reflects a strong emphasis on integrating computational methods with experimental and biomedical sciences to advance precision medicine and sustainable technologies.

Profile : Google Scholar
Featured Publication

  • Cao, Y., He, M., Gao, Z., Peng, Y., Li, Y., Li, L., Zhou, W., Li, X., Zhong, X., Lei, Y., Su, T., Wang, H., Jiang, Y., Yang, L., Wei, W., Yang, X., … Ning, G. (2014). Activating hotspot L205R mutation in PRKACA and adrenal Cushing’s syndrome. Science, 344(6186), 913–917.

  • Cao, Y., Li, L., Xu, M., Feng, Z., Sun, X., Lu, J., Xu, Y., Du, P., … (2020). The China Map analytics of deep whole genome sequences in 10,588 individuals. Cell Research.

  • Cao, Y., Li, L., Feng, Z., Wan, S., Huang, P., Sun, X., Wen, F., … (2020). Comparative genetic analysis of the novel coronavirus (2019-nCoV/SARS-CoV-2) receptor ACE2 in different populations. Cell Discovery, 6, 11.

  • Cao, Y., Ye, Q., Ma, M., & She, Q.-B. (2023). Enhanced bypass of PD-L1 translation reduces the therapeutic response to mTOR kinase inhibitors.

Bulent Yesilata | Energy | Best Researcher Award

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Prof. Bulent Yesilata | Energy | Best Researcher Award

Senior Researcher | Ankara Yildirim Beyazit University |Turkey

Prof. Bulent Yesilata is a distinguished professor and senior researcher specializing in renewable energy and energy efficiency technologies, with a strong foundation in thermo-fluid sciences and their applications to sustainable energy systems. His expertise encompasses thermodynamics, heat transfer, and fluid dynamics with significant contributions to solar photovoltaic systems, solar heating and cooling, and energy-efficient building technologies. He has led numerous national and international R&D projects focused on renewable energy integration, energy system optimization, and sustainable development strategies. Prof. Bulent Yesilata has served as an evaluator and rapporteur for European Commission research programs including FP7, Horizon, and Horizon Europe, and has consulted for organizations such as UNDP and GIZ on renewable energy policy and implementation. As founder and director of the GAP Renewable Energy and Energy Efficiency R&D Excellency Center at Harran University, he has played a pivotal role in advancing Turkey’s sustainable energy initiatives. He actively contributes to global scientific communities as Associate Editor of Solar Energy (Elsevier) and a member of several international professional bodies, including the International Energy Agency and the Association of Energy Engineers. His research has earned 1,015 citations across 941 documents, with 36 publications and an h-index of 16, reflecting his impactful contributions to renewable and sustainable energy research.

Profile : Scopus | ORCID | Google Scholar | Research Gate

Featured Publication 

Sarı, A., Nas, M., Yeşilata, B., Ustaoğlu, A., Erdoğmuş, E., Torlaklı, H., Hekimoğlu, G., & Gencel, O. (2024). A novel cement mortar comprising natural zeolite/dodecyl alcohol shape stable composite phase change material for energy effective buildings. Journal of Energy Storage, 87, 111266.

Onsomu, O. N., Terciyanlı, E., & Yeşilata, B. (2024). Comprehensive review of energy management strategies: Considering battery energy storage system and renewable energy sources. Engineering Reports. (In press).

Onsomu, O. N., Çetin, A., Terciyanlı, E., & Yeşilata, B. (2024). Integration of grid scale battery energy storage systems and application scenarios. Eurasian Journal of Science, Engineering and Technology, 5(1), 76–86.

Akkuş, M. S., & Yeşilata, B. (2023). Advances in synthesis and energy applications of conductive polymers. Journal of Optimization & Decision-Making, 2(2), 373–380.

Onsomu, O. N., & Yeşilata, B. (2023). Review of microgrid energy management techniques on virtual power plant system. Journal of Optimization & Decision-Making, 2(2), 381–388.

Aichotau, G. A., & Yeşilata, B. (2023). Photovoltaic-thermoelectric power for sustainable cold chains needed for COVID-19 vaccine delivery and use in Niger. Journal of Innovative Science and Engineering, 7(1), 74–87.