Prof. Dr. Fathi Touati | Electrochemical Sensors | Most Liked Article Award

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Prof. Dr. Fathi Touati | Electrochemical Sensors | Most Liked Article Award

Prof. Dr. Fathi Touati | Electrochemical Sensors | National Institute for Physicochemical Research and Analysis | Tunisia

Prof. Dr. Fathi Touati is a distinguished Tunisian scholar and Professor at the Institut National de Recherche et d’Analyse Physico-Chimique in Sidi Thabet, Tunisia, renowned for his impactful contributions to the fields of materials chemistry, electrochemical sensing, and nanocomposite fabrication. He obtained his Ph.D. in Chemistry and later his Habilitation à Diriger des Recherches (HDR) from the Faculty of Sciences, Tunis, reflecting his exceptional academic dedication and research excellence. Over his career, Prof. Dr. Fathi Touati has held various academic positions including Assistant, Associate, and Full Professor, as well as serving as Director of the Materials Processing and Analysis Laboratory, where he leads innovative research in the design and synthesis of advanced nanomaterials for environmental and biomedical applications. His research interests primarily focus on photo-electrochemical and electrochemical sensing, nanostructured materials, wastewater treatment technologies, and green chemistry applications. His professional experience spans both academia and research, with more than 60 peer-reviewed publications and 40 scientific communications, contributing significantly to the global research community. He has supervised 8 Master’s, 7 Doctoral, and 3 HDR theses, nurturing the next generation of scientists in Tunisia and abroad. With an h-index of 13, 683 citations, and 55 Scopus-indexed papers, Prof. Dr. Fathi Touati has earned international recognition for his scientific rigor and innovation. His research skills encompass advanced nanocomposite synthesis, materials characterization, electrochemical analysis, photocatalysis, and environmental remediation. He has been an active reviewer for multiple IEEE, Elsevier, and Springer journals and a member of IEEE and the American Chemical Society (ACS), demonstrating his engagement in professional scientific networks. Awards and honors bestowed upon Prof. Dr. Fathi Touati highlight his leadership in research and contributions to materials science and sensing technology innovation. His recent publications in high-impact journals such as Materials Chemistry and Physics, Journal of Solid State Electrochemistry, and Inorganic and Nano Metal Chemistry reflect his commitment to high-quality, interdisciplinary research. In conclusion, Prof. Dr. Fathi Touati exemplifies excellence in scientific inquiry, academic leadership, and international collaboration, standing as a prominent figure in the advancement of sensing technology and sustainable materials science.

Professional Profiles: ORCID  | Scopus

Featured Publications (APA Format)

  1. Touati, F. (2026). Bi2WO6/WO3/g-C3N4 ternary nanocomposite-modified glassy carbon electrode for sensitive photo-electrochemical detection of dopamine. Materials Chemistry and Physics.

  2. Touati, F. (2025). Synthesis of CuO/WO3/g-C3N4 nanocomposite for the sensitive and selective electrochemical detection of H2O2. Journal of Solid State Electrochemistry. 3 citations.

  3. Touati, F. (2025). A three-dimensional Fe-doped BiVO4@Carbon nanosphere as modified indium tin oxide electrode for non-enzymatic paracetamol sensing. Journal of the Iranian Chemical Society. 1 citation.

  4. Touati, F. (2025). Vertical Constructed Wetlands Integrated with Biochar: A Green Nature-Based Solution for Wastewater Treatment. Chemistry Africa.

  5. Touati, F. (2025). Photocatalytic activity and electrochemical properties of a ternary-based-TiO2 nanocomposite. Inorganic and Nano Metal Chemistry. 1 citation.

  6. Touati, F. (2024). Development of Bi2O3/g-C3N4 heterojunction nanocomposites for efficient photocatalytic degradation of pollutants. Journal of Environmental Chemical Engineering. 7 citations.

  7. Touati, F. (2024). Fabrication of WO3/BiVO4 nanocomposite electrodes for enhanced photoelectrocatalytic sensing performance. Applied Surface Science. 5 citations.

Dr. Wei Jun Li | Attractiveness Processing | Best Researcher Award

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Dr. Wei Jun Li | Attractiveness Processing | Best Researcher Award 

Dr. Wei Jun Li | Attractiveness Processing | Liaoning Normal University | China

Dr. Wei Jun Li is a distinguished Chinese scholar specializing in cognitive neuroscience, psycholinguistics, and auditory-language processing, with a strong focus on the neural mechanisms underlying speech perception, prosody, and emotional cognition. He currently serves as an Associate Professor at the Center for Brain and Cognitive Neuroscience, Liaoning Normal University, where he has significantly contributed to the advancement of interdisciplinary research combining psychology, linguistics, and neuroscience. Li Weijun obtained his Ph.D. in Psychology from the Institute of Psychology, Chinese Academy of Sciences, where his doctoral research explored prosodic boundary perception and the cognitive mechanisms of Chinese speech comprehension. His educational journey began at Hebei Normal University, where he earned his undergraduate degree in Psychology, laying the groundwork for his future endeavors in experimental and cognitive sciences. Professionally, Li Weijun has built a notable academic trajectory, having held positions ranging from Assistant Researcher to Professor, and he has also served as an Exchange Scholar at the University of Maryland, collaborating on research concerning cross-linguistic prosody and auditory cognition. His research interests include speech perception, neural processing of language, emotion recognition, and multisensory integration, with an emphasis on ERP and EEG-based neural imaging techniques. His research skills encompass experimental design, neurocognitive modeling, and data analysis in electrophysiological and behavioral paradigms, which he has applied in over 30 peer-reviewed publications indexed in Scopus and Web of Science. Li Weijun has successfully led and completed several national and international research projects, including grants funded by the National Natural Science Foundation of China and the Ministry of Education Humanities and Social Sciences Fund, focusing on neural mechanisms of voice attractiveness, prosodic processing, and emotional communication. He has received multiple research honors for his scientific excellence and serves as a reviewer and member of professional societies such as the IEEE and Chinese Psychological Society. His works have been widely cited and recognized for advancing understanding of how the human brain processes speech and emotion through multimodal integration. In conclusion, Li Weijun’s contributions demonstrate a remarkable blend of academic rigor, leadership, and innovation in cognitive neuroscience, positioning him as a leading expert dedicated to bridging psychology, linguistics, and neural engineering to enhance human communication and understanding.

Professional Profiles: ORCID  

Featured Publications 

  1. Yuan, Y., Zheng, Z., Chien, Y., Gao, C., & Li, W. (2025). The neural processing of the interaction between accentuation and lexical prediction during spoken sentence comprehension. Language and Cognition. (Citations: 12)

  2. Xiang, L., Sommer, W., Yue, S., Liao, J., Liu, M., & Li, W. (2025). How personality traits affect the perception of facial and vocal attractiveness. Brain Sciences. (Citations: 8)

  3. Yuan, Y., Shang, J., Gao, C., Sommer, W., & Li, W. (2024). A premium for positive social interest and attractive voices in the acceptability of unfair offers? An ERP study. European Journal of Neuroscience. (Citations: 16)

  4. Li, T., Liang, Z., Yuan, Y., Sommer, W., & Li, W. (2024). The impact of facial attractiveness and alleged personality traits on fairness decisions in the ultimatum game: Evidence from ERPs. Biological Psychology. (Citations: 20)

  5. Liu, M., Sommer, W., Yue, S., & Li, W. (2023). Dominance of face over voice in human attractiveness judgments: ERP evidence. Psychophysiology. (Citations: 24)

  6. Zheng, Z., Chien, Y., Wang, W., Zhang, Z., & Li, W. (2022). The cognitive processing of tone sandhi in different information structural status during dialogue comprehension. Language, Cognition and Neuroscience. (Citations: 18)

  7. Li, W., & Yang, Y. (2010). Perception of Chinese poem and its electrophysiological effects. Neuroscience. (Citations: 42)

Prof. Dr. Hasan Huseyin Ozturk | Environment Control | Best Researcher Award

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Prof. Dr. Hasan Huseyin Ozturk | Environment Control | Best Researcher Award 

Prof. Dr. Hasan Huseyin Ozturk | Environment Control | Cukurova University | Turkey

Prof. Dr. Hasan Hüseyin Öztürk, an eminent academician at Çukurova University, Adana, Turkey, has established himself as a distinguished researcher in the field of Agricultural Machinery and Technologies, Renewable Energy Systems, and Environmental Sensing. With a Ph.D. in Agricultural Engineering from Çukurova University, Prof. Dr. Öztürk’s educational journey reflects a lifelong dedication to advancing agricultural science through innovation and sustainable technology. His professional experience spans decades of teaching, supervising graduate research, and leading interdisciplinary projects focused on the optimization of agricultural energy use, biomass conversion, and smart environmental sensing applications. He has been actively involved in numerous international collaborations exploring the use of geothermal resources, bioethanol production from agricultural biomass, and the combustion quality of various energy crops under different climatic conditions. His research interests include biomass energy optimization, sensor-based monitoring in agriculture, bioenergy sustainability, and precision farming technologies, contributing significantly to Turkey’s energy and agricultural innovation sectors. Prof. Dr. Öztürk’s research skills encompass experimental design, sensor calibration, agricultural machinery performance testing, and renewable energy modeling, combining practical engineering methods with environmental analytics. He has published 36 peer-reviewed papers indexed in Scopus, achieving over 1,047 citations and an h-index of 17, reflecting his strong global research influence. His publications in leading international journals such as Industrial Crops and Products, Agronomy, and Turkish Journal of Earth Sciences demonstrate his capacity for impactful, solution-oriented research. Prof. Dr. Öztürk has received several academic honors and recognitions for his scientific excellence and leadership in agricultural energy systems, and he continues to contribute as a reviewer and editorial board member in reputed journals. His leadership extends beyond academia through his participation in professional bodies such as the Institute of Electrical and Electronics Engineers (IEEE) and various agricultural and environmental research associations. Through his pioneering work, Prof. Dr. Hasan Hüseyin Öztürk has become a vital figure in advancing agricultural energy technologies and environmental sensing. His forward-looking research, mentorship, and global collaborations embody a commitment to innovation and sustainability, ensuring a lasting contribution to science, technology, and agricultural development both in Turkey and internationally.

Professional Profiles: Scopus | Google Scholar

Featured Publications 

  1. Öztürk, H. H., et al. (2022). Evaluation of harvest time effects on the combustion quality of warm- and cool-season perennial grasses in two contrasting semi-arid environments. Industrial Crops and Products. 9 Citations.

  2. Öztürk, H. H., et al. (2021). Use of geothermal resources in Konya Plain Project (KOP) region for tourism, health purposes, agricultural, industrial and district heating. Turkish Journal of Earth Sciences. 1 Citation.

  3. Öztürk, H. H., et al. (2020). Interactive effects of nitrogen and humic substances applications on bioethanol production from sweet sorghum and combustion characteristics of its bagasse. Agronomy. 9 Citations.

  4. Öztürk, H. H., et al. (2019). Determination of energy and exergy efficiencies of biomass-based systems for sustainable agriculture. Renewable Energy. 42 Citations.

  5. Öztürk, H. H., et al. (2018). Comparative analysis of biomass feedstocks for biofuel production under semi-arid climatic conditions. Energy Conversion and Management. 37 Citations.

  6. Öztürk, H. H., et al. (2017). Experimental investigation of energy use patterns and sustainability indicators in agricultural machinery operations. Journal of Cleaner Production. 54 Citations.

  7. Öztürk, H. H., et al. (2016). Assessment of environmental and energy efficiencies in geothermal-supported agricultural systems in the Mediterranean region. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 28 Citations.

Dr. Marko Joksimovic | Sports | Young Scientist Sensor Award

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Dr. Marko Joksimovic | Sports | Young Scientist Sensor Award

Dr. Marko Joksimovic | Sports | University of Montenegro | Montenegro

Dr. Marko Joksimović is a renowned Montenegrin scholar and sports scientist affiliated with the University of Montenegro, Podgorica, whose academic and research journey has been characterized by innovation, precision, and interdisciplinary excellence. He earned his Ph.D. in Sports Science from the University of Montenegro, where his doctoral research focused on the application of sensing technologies and biomechanical modeling in optimizing athletic performance and reducing injury risks. Over the course of his professional career, Dr. Joksimović has developed extensive expertise in neuromuscular activation analysis, motion symmetry assessment, exercise physiology, and sensor-based sports diagnostics. His academic contributions have significantly advanced the integration of wearable sensors, force-velocity profiling, and data-driven approaches in performance monitoring and rehabilitation sciences. As a dedicated academic, he has served as a mentor, lecturer, and research supervisor for undergraduate and postgraduate students, fostering a new generation of scholars in sports science and human performance engineering. His research interests include biomechanics, kinematic sensing, sports data analytics, human motor control, and psychophysiological performance monitoring, with growing attention to AI and machine learning for predictive analytics in sports environments. Dr. Joksimović’s professional experience spans participation in several international collaborative projects related to sensing systems for athletic assessment, as well as interdisciplinary studies integrating neuroscience, physiology, and technology-driven evaluation models. His works have been published in prestigious Scopus- and IEEE-indexed journals, contributing to a total of 41 scientific documents, 162 citations, and an h-index of 8, underscoring his sustained research impact.

Professional Profiles: ORCID | Google Scholar | Scopus

Featured Publications 

  1. Joksimović, M. (2025). Impact of CrossFit intervention on mental health and well-being among first-year law students. Humanities and Social Sciences Communications.

  2. Joksimović, M. (2025). Neuromuscular activation and symmetry in isometric squats: Comparing stable and unstable surfaces. Symmetry.

  3. Joksimović, M. (2025). Determining power training needs using the force-velocity profile (imbalance) in elite female volleyball using different vertical jump. Balneo and PRM Research Journal.

  4. Joksimović, M. (2025). Morphological characteristics, somatotype, and body composition in soccer players in relation to playing position: A narrative review. International Journal of Morphology.

  5. Joksimović, M. (2024). Kinematic and physiological responses to variable resistance training in elite athletes. Journal of Sports Biomechanics.

  6. Joksimović, M. (2024). Biomechanical analysis of lower limb asymmetry during high-intensity resistance exercises. International Journal of Sports Science and Coaching.

  7. Joksimović, M. (2023). Sensor-based motion assessment and fatigue prediction using electromyographic signal analysis in trained athletes. IEEE Sensors Journal.

Prof. Rongbao Gao | Viral Disease | Best Researcher Award

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Prof. Rongbao Gao | Viral Disease | Best Researcher Award 

Prof. Rongbao Gao | Viral Disease | National institute for viral disease control and prevention | China

Prof. Rongbao Gao is a senior virologist at the National Institute for Viral Disease Control and Prevention, China CDC, whose education culminated in a Ph.D. in Virology from a leading Chinese university. His professional experience spans national and international work in influenza virus surveillance, viral immunology, pathogenesis of viral pneumonia and the development of novel diagnostic and vaccine technologies. Early in his career, he served as a guest researcher fellow in the Infectious Diseases Pathology Branch of the U.S. Centers for Disease Control and Prevention (CDC) during the 2009 H1N1 pandemic, where he contributed to global response efforts. Over the years, his research interests have focused on zoonotic influenza emergence, viral host-pathogen interactions, antiviral diagnostic platform development, and broad-spectrum vaccine design and evaluation. He has developed strong research skills in molecular virology (including RT-PCR, viral isolation, reverse genetics), animal modelling, immunological assay development, bioinformatic sequence analysis and network surveillance systems. His leadership experience includes heading national influenza surveillance laboratory networks, coordinating multi-centre international projects on avian and human influenza viruses and serving on advisory committees of international virology and public health organisations. Major awards and honours include the CDC NCEZID Recognition Award for his work on the 2009 pandemic H1N1, and several Chinese national scientific and technological honours for his contributions on H5N1 and H7N9 work. He is a member of IEEE/ACM-aligned professional society groups (for example virus diagnostics working groups), and holds an ORCID ID (0000-0003-1139-3607) and SciProfiles ID (2719750). With more than 100 peer-reviewed publications in high-impact journals (e.g., NEJM, The Lancet, Nature, Clinical Infectious Diseases) he has established a strong citation record and international research network. Looking ahead, Prof Gao is well positioned to further advance sensing and diagnostic technologies for emerging viruses, foster interdisciplinary collaborations integrating biosensing, nanotechnology and AI, and mentor the next generation of global health scientists. In conclusion, Prof Rongbao Gao’s distinguished academic credentials, sustained high-impact research, leadership in international collaborations and strong future trajectory make him an outstanding candidate for major awards in sensing technology and viral diagnostics.

Professional Profiles: ORCID

Featured Publications 

  1. Zhou, J., Wang, L., … Gao, R. (2014). Epidemiology of Human Infections with Avian Influenza A(H7N9) Virus in China. The New England Journal of Medicine, 370(6), 520-532. [Citations ~2361]

  2. Gao, R., Gao, Y., Wen, L., Shao, M., Zou, S., Li, C., Yang, L., Li, X., Wang, W., & Shu, Yuelong. (2011). Development and implementation of the quality control panel of RT-PCR and real-time RT-PCR for avian influenza A (H5N1) surveillance network in mainland China. BMC Infectious Diseases, 11, 67. [Citations ~500+]

  3. Zou, S., Guo, W., Pu, S., Dong, L., Zhu, W., Gao, R. (2025). The Development of a Novel Broad-Spectrum Influenza Polypeptide Vaccine Based on Multi-Epitope Tandem Sequences. Vaccines, 13(1), 81.

  4. Zou, S., Guo, W., Pu, S., Dong, L., Zhu, W., Gao, R. (2025). Construction and Research Progress of Animal Models and Mouse Adapted Strains of Seasonal Influenza Virus. Vaccines, 13(10), 1077.

  5. Zhu, W., Li, X., Dong, L., Gao, R. (2022). Epidemiologic, Clinical, and Genetic Characteristics of Human Infections with Influenza A(H5N6) Viruses, China. Emerging Infectious Diseases, 28(7).

  6. Zou, S., Guo, W., Pu, S., Dong, L., Gao, R. (2013). Inactivation of the novel avian influenza A (H7N9) virus under physical conditions or chemical agents treatment. Virology Journal, 10, 289. [Citations ~300+]

  7. Zhou, J., Wang, L., … Gao, R. (2013). Biological features of novel avian influenza A (H7N9) virus. Nature, 499, 500-503. [Citations ~1500+]

Mr. Zhi-Wei Zhang | Vibration Energy Harvesting | Best Researcher Award

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Mr. Zhi-Wei Zhang | Vibration Energy Harvesting | Best Researcher Award 

Mr. Zhi-Wei Zhang | Vibration Energy Harvesting | Beijing Forestry University | China

Mr. Zhi-Wei Zhang is a distinguished researcher and faculty member at Beijing Forestry University, China, with extensive expertise in structural engineering, material mechanics, seismic metamaterials, and innovative concrete structures. He obtained his Ph.D. in Civil Engineering and has developed a strong academic and professional career combining rigorous theoretical research with practical experimentation. Mr. Zhang has accumulated significant professional experience through his involvement in national and international research projects, where he has collaborated with leading institutions to advance knowledge in earthquake-resilient construction, multifunctional building materials, and adaptive structural systems. His research interests focus on structural innovation, seismic metamaterials, multifunctional concrete sandwich shells, dynamic load response, and sustainable construction materials, reflecting a commitment to addressing real-world engineering challenges. He demonstrates exceptional research skills, including numerical modeling, experimental mechanics, structural analysis, computational simulation, and material characterization, enabling him to translate complex theoretical concepts into applicable engineering solutions. Mr. Zhang’s scholarly contributions are evidenced by over 26 peer-reviewed publications, with a cumulative citation count of 535 and an h-index of 11, underscoring his influence and impact in the field. His work has been recognized for advancing understanding in structural vibration mitigation, material optimization, and seismic safety, and he has actively contributed to academic mentoring, student guidance, and interdisciplinary collaborations, highlighting his leadership and commitment to nurturing emerging researchers. He has participated in professional forums, workshops, and collaborative platforms to disseminate knowledge and promote best practices in engineering design and materials science. While already accomplished, Mr. Zhang has opportunities to further enhance his impact by increasing publications in top-tier journals, expanding international collaborations, and participating in keynote lectures and editorial boards, which would amplify his global research visibility. In conclusion, Mr. Zhang, Zhiwei is highly deserving of recognition due to his substantial contributions to civil engineering research, structural innovation, and sustainable construction practices.

Professional Profile: Scopus

Selected Publications

  1. Zhang, Z., et al. (2025). Seismic metamaterials as foundations for buildings subjected to incident plane and bending waves: Simulation and experiment. Engineering Structures.

  2. Zhang, Z., et al. (2025). Flexural behavior of innovative multifunctional concrete sandwich shells with different types of connectors. Structural Concrete.

Dr. Mateusz Winder | Radiology | Best Researcher Award

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Dr. Mateusz Winder | Radiology | Best Researcher Award 

Dr. Mateusz Winder | Radiology | Medical University of Silesia | Poland

Dr. Mateusz Winder is a distinguished clinician and researcher at the Medical University of Silesia and affiliated hospitals in Katowice, Poland, with extensive expertise in radiodiagnostics, interventional radiology, internal medicine, and oncological chemotherapy. He obtained his medical degree from the Medical University of Silesia, with additional specialized training in anaesthetics at the University of Edinburgh and internal medicine and endocrinology at the American University of Beirut, complemented by studies in healthcare management at the University of Economics in Katowice, reflecting a strong interdisciplinary foundation. Dr. Winder’s professional experience spans over a decade in clinical practice and research, including leadership roles in radiology and nuclear medicine departments, where he has contributed to optimizing imaging protocols, advancing diagnostic accuracy, and improving physician ergonomics. His primary research interests encompass medical imaging innovations, ultrasound biomechanics, kinematic assessment of physicians during procedures, contrast-enhanced mammography, and patient-centered diagnostic optimization, highlighting a focus on the intersection of technology, human factors, and clinical outcomes. Dr. Winder possesses strong research skills in quantitative imaging analysis, data-driven evaluation of musculoskeletal loads, AI-assisted diagnostic systems, and design of observational clinical studies, enabling him to integrate cutting-edge technology with practical clinical applications. He has contributed more than 40 peer-reviewed publications indexed in Scopus, with citations reflecting growing academic influence, and has collaborated internationally to enhance knowledge exchange in radiology and oncology. Dr. Winder has been recognized for his innovative contributions to medical diagnostics, mentorship of emerging clinicians, and involvement in interdisciplinary projects promoting evidence-based healthcare practices.

Professional Profile: ORCID | Scopus

Selected Publications 

  1. Winder, M., et al. (2025). Breast neuroendocrine neoplasms – characteristics in contrast-enhanced mammography. Endokrynol. Pol.

  2. Winder, M., et al. (2025). Kinematic assessment of the physician’s body position and musculoskeletal loads during breast and abdominal ultrasound examinations. Journal of Clinical Medicine.

  3. Galus, W., Winder, M., et al. (2025). Does vitamin D supplementation slow brain volume loss in multiple sclerosis? A 4-year observational study. Nutrients.

  4. Suchoń, S., Burkacki, M., Chrzan, M., Winder, M. (2025). What ranges of probe pressure are applied during ultrasound examinations? A systematic review. Sensors.

  5. Winder, M., et al. (2024). Subcapital femoral neck fracture in a professionally active patient undergoing palliative treatment for endothelial cell-derived epithelioid haemangioendothelioma (EHE). Reports.

Prof. Xiaoying Li | Design | Best Researcher Award

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Prof. Xiaoying Li | Design | Best Researcher Award 

Prof. Xiaoying Li | Design | Hubei University of Technology | China

Prof. Xiaoying Li is a distinguished academic and accomplished researcher at Hubei University of Technology, Wuhan, China, with recognized expertise in sensing technology, knowledge graph systems, human-centered design, and artificial intelligence applications. Her educational background reflects an advanced specialization in Information and Communication Engineering, where she developed a strong foundation in intelligent systems, data-driven modeling, and computational design methodologies. Through her academic and professional journey, Prof. Li has established herself as a leading figure in the integration of AI-driven sensing systems, semantic computing, and aging-friendly design technologies, contributing meaningfully to the creation of adaptive, efficient, and socially beneficial solutions. Professionally, she has been deeply engaged in university-level research and instruction, guiding students and collaborative teams in interdisciplinary projects that merge design innovation with real-world technological challenges. Her professional experience demonstrates a strong capacity to lead collaborative research initiatives and drive the translation of academic insights into practical technological advancements. Prof. Li’s research interests include knowledge graph construction for intelligent decision-making, emotion-sensing models, user-adaptive interfaces, and cognitive assistive systems. Her work emphasizes how technology can enhance accessibility, communication, and autonomy for aging populations, positioning her at the intersection of design thinking and digital intelligence. With more than seven publications indexed in Scopus, an h-index of 2, and 14 citations, Prof. Li’s research demonstrates measurable academic influence and growing recognition in the international research community. Her analytical and technical research skills include machine learning model development, multimodal data integration, semantic knowledge representation, and signal interpretation for sensing applications, as well as practical experience in designing data-driven systems for human-computer interaction.

Professional Profile: Scopus

Selected Publications

  1. Li, X. (2025). Aging-friendly design research: Knowledge graph construction for elderly advantage applications. Applied Sciences, 15(20), 11287. [Cited by 1]

Mr. Haoyu Zhang | Design Awards | Best Researcher Award

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Mr. Haoyu Zhang | Design Awards | Best Researcher Award

Mr. Haoyu Zhang | Design Awards | Hubei University of Technology | China

Mr. Haoyu Zhang is a dedicated researcher in the field of Biomedical Signal Processing, Artificial Intelligence, and Human-Centered Sensing Systems, currently affiliated with Hubei University of Technology, Wuhan, China. His academic foundation reflects strong interdisciplinary expertise, integrating computer science, neuroscience, and engineering principles to develop innovative sensing and AI-driven solutions. Educated in information technology and biomedical engineering, Mr. Zhang’s academic journey has been shaped by a deep interest in understanding and enhancing the interaction between humans and intelligent systems. His research primarily focuses on EEG-based emotional recognition, knowledge graph construction, and personalized sensing systems, all of which aim to bridge the gap between cognitive neuroscience and computational modeling. Professionally, he has contributed to several academic projects that combine machine learning algorithms, signal acquisition, and data-driven healthcare systems to create impactful applications for real-world medical and assistive contexts. At Hubei University of Technology, he is actively involved in research that explores advanced human-sensing technologies, neuroadaptive interfaces, and AI-driven decision-support mechanisms. Mr. Zhang’s research interests include brain-computer interface (BCI), emotion-aware AI models, multimodal data fusion, and health monitoring systems, making him a valuable contributor to the global sensing technology community. His research skills encompass EEG signal processing, Python-based AI programming, deep learning model development, and integration of cloud-based sensor networks, with proficiency in implementing algorithms for feature extraction, pattern recognition, and human affective computing. Demonstrating excellence in research communication, he has published influential papers in Scopus-indexed and peer-reviewed journals, including Applied Sciences (MDPI), which highlight his ability to translate theoretical understanding into practical, data-driven solutions.

Professional Profile: ORCID

Selected Publications

  1. Zhang, H., & Li, X. (2025). A family emotional support system for MCS patients based on an EEG-to-visual translation mechanism: Design, implementation, and preliminary validation. Applied Sciences, 15(20), 11149. [Cited by 4]

Prof. Dr. Ettore D’Aleo | Psychology | Top Researcher Award

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Prof. Dr. Ettore D’Aleo | Psychology | Top Researcher Award 

Prof. Dr. Ettore D’Aleo | Psychology | Niccolo Cusano University | Italy

Prof. Ettore D’Aleo is an accomplished clinical psychologist, psychotherapist, and sexologist based at Università degli Studi Niccolò Cusano, Rome, Italy, where he serves as a Contract Professor specializing in Personality Assessment (SSD M-PSI/07) within the master’s program in Clinical and Rehabilitation Psychology (LM-51). His academic journey is rooted in a strong foundation in both psychology and theology, holding a Baccalaureate in Religious Sciences from Pontificia Università Lateranense, Rome, and an M.Sc. in Clinical and Rehabilitation Psychology. Throughout his academic and professional career, Prof. D’Aleo has developed a distinctive humanistic-bioenergetic approach that integrates evidence-based methodologies with person-centered therapeutic practices, emphasizing empathy, body awareness, and the holistic understanding of mental health. His professional experience extends to teaching in the Departments of Psychology and Sports Sciences, contributing to advanced programs such as the II-Level Master’s in Psychology of Chronicity, where he addresses Psychobiology, Clinical Psychology, and Health Communication. In addition to his academic roles, Prof. D’Aleo is an active lecturer and public speaker affiliated with the Order of Psychologists of Lazio, delivering influential talks on sexuality, gender identity, prejudice, and chronic illness. His research interests span weight stigma and body image, psychopathology in university populations—including eating disorders, anxiety, depression, and suicidal tendencies—gender and sexual diversity, and the integration of humanistic and evidence-based psychotherapy models. He has contributed to multiple international peer-reviewed journals indexed in Scopus and APA databases, with works cited for their psychometric rigor and social relevance. Prof. D’Aleo’s research skills encompass psychometric scale development, clinical data analysis, and advanced diagnostic assessments that merge psychological theory with applied practice. His methodological expertise reflects a commitment to advancing the reliability of mental health measurement tools, as seen in his studies on the Italian Doomscrolling Scale and the Tendency to Avoid Physical Activity and Sport Scale. His cross-disciplinary engagement combines psychological insight with educational initiatives targeting youth inclusion, cyberbullying prevention, and emotional intelligence development inspired by the CASEL Social-Emotional Learning (SEL) framework.

Professional Profile: ORCID | Scopus

Selected Publications

  1. D’Aleo, E. (2025). Psychometric analysis of the Italian Doomscrolling Scale. Current Psychology. Citations: 22

  2. D’Aleo, E. (2025). Psychological and physical correlates after gender-affirming mastectomy. Journal of Health Psychology. Citations: 17

  3. D’Aleo, E. (2024). Psychometric properties of the Italian Tendency to Avoid Physical Activity and Sport Scale. Applied Psychology: Health and Well-Being. Citations: 35

  4. D’Aleo, E. (2024). Symptoms of eating disorder, anxiety, depression, suicidal risk, and self-esteem in Italian university students. Journal of Clinical Psychology. Citations: 41

  5. D’Aleo, E. (2024). Prov. Identity: Exploring gender and self-perception in Italian contexts. Roma Tre Psychological Studies. Citations: 14