Tian Chen | Physics and Astronomy | Best Researcher Award

Published on by Citation Awards

Tian Chen | Physics and Astronomy | Best Researcher Award

Prof. Dr Tian Chen, Beijing Institute of Technology, China

Dr. Tian Chen is an Associate Professor at the Department of Physics, Beijing Institute of Technology. A leading researcher in quantum technology, Dr. Chen focuses on topological state control and quantum state manipulation, particularly through experimental quantum walk systems. He earned his Ph.D. from Tsinghua University under Prof. Xiangbin Wang and spent a year as a visiting scholar at Stevens Institute of Technology, USA, with Prof. Ting Yu. With over 50 publications in high-impact journals like Nature Communications, Light: Science & Applications, and Science Advances, Dr. Chen’s work has drawn attention from platforms such as MIT Technology Review and EurekAlert!. He plays a key role as an editorial board member for Research and a special-topic editor for Symmetry. His contributions are recognized widely within the scientific community, cementing his reputation as a pioneer in topological photonics and quantum sensing.

Publication Profile

orcid

Education

Dr. Tian Chen began his academic journey with a Bachelor’s degree from Nankai University (2006–2010), laying a strong foundation in physics. He then pursued his doctoral studies at Tsinghua University (2010–2015), one of China’s most prestigious institutions, under the mentorship of renowned physicist Prof. Xiangbin Wang. During his Ph.D., he gained international research experience as a visiting scholar (2013–2014) at Stevens Institute of Technology, USA, working with Prof. Ting Yu. This global exposure enriched his expertise in quantum mechanics and topological physics. His education integrated strong theoretical insights with experimental methodologies, particularly in quantum optics and quantum information. These formative years prepared him for a career at the forefront of modern quantum technology, where his interdisciplinary knowledge and early international collaboration have significantly shaped his research direction in quantum state control and topological phenomena.

Experience

Dr. Tian Chen has been serving at the Beijing Institute of Technology since 2015, first as an Assistant Professor (2015–2018) and currently as an Associate Professor (2018–present) in the Department of Physics. His professional career is distinguished by leadership in topological quantum systems, where he merges theory with experimental realization, particularly using quantum walks on opto-electronic platforms. He has spearheaded or participated in several national-level research projects, including grants from the National Natural Science Foundation of China and key R&D programs. His editorial roles include being a young board member of the journal Research and a guest editor for Symmetry. Dr. Chen is also actively involved as an external reviewer for Clarivate’s overseas research assessments. His rapid ascent in academia reflects both his research excellence and contributions to global scientific discourse, further amplified by media features in MIT Technology Review and Advanced Science News.

Awards and Honors

Dr. Tian Chen has received numerous accolades recognizing his excellence in quantum physics and scientific service. In 2023, he earned the prestigious “IOP Trusted Reviewer” certification from the Institute of Physics, acknowledging his dedication to maintaining high peer-review standards. He serves on the young editorial board of Research and is the editor-in-chief for the special issue “Symmetry/Asymmetry in Topological Phases” in the journal Symmetry. Additionally, he has been appointed as an external reviewer for Clarivate’s international research evaluations and contributes to Beijing Science and Technology initiatives. Dr. Chen’s cutting-edge research has been featured over 20 times by international science outlets such as MIT Technology Review, EurekAlert!, China Optics, and Advanced Science News. These recognitions underscore his leadership in advancing quantum technologies and establishing topological platforms with high scientific impact.

Research Focus

Dr. Tian Chen’s research centers on topological state control and its transformative applications in quantum technology. He specializes in the experimental implementation of quantum walk systems, utilizing them to explore novel topological phases and quantum state manipulation. His work leverages opto-electronic platforms to simulate quantum behavior, aiming to realize high-sensitivity quantum sensing and quantum-inspired algorithms. A significant portion of his work delves into non-Hermitian systems, exceptional points, and topologically protected phenomena. Dr. Chen’s interdisciplinary approach integrates quantum optics, condensed matter physics, and quantum information science, allowing the construction of complex topological networks with practical and computational applications. His innovations contribute to emerging areas like quantum simulators and topological quantum computing, positioning him as a key contributor in bridging theory and experiment in advanced quantum systems.

Publication Top Notes

  • 🧪 Ultra-sensitivity in reconstructed exceptional systems – Natl. Sci. Rev., 2024

  • 🔬 Quantum photonic solver for complicated vibronic spectra of large molecules – Nat. Commun., 2024

  • 🧭 Topologically protected entanglement switching around exceptional points – Light: Sci. & Appl., 2024

  • ⚡ Observation of hybrid higher-order skin-topological effect in non-Hermitian topolectrical circuits – Nat. Commun., 2021

  • 🧵 Experimental observation of classical analogy of topological entanglement entropy – Nat. Commun., 2019

 

Razia Khan Sharme | Materials Science | Best Researcher Award

Published on by Citation Awards

Razia Khan Sharme | Materials Science | Best Researcher Award

Razia Khan Sharme, Delaware State University, Bangladesh

Razia Khan Sharme is a dedicated materials scientist with a keen interest in thin films, semiconductors, and computational material science. She is currently pursuing her Master’s degree in Applied Optics at Delaware State University, maintaining a perfect 4.0 GPA. With a robust academic foundation, she completed her Bachelor of Science in Materials Science and Engineering from Khulna University of Engineering and Technology (KUET), Bangladesh. Razia is passionate about research and has already co-authored several journal articles and conference papers focused on advanced materials, particularly transparent conducting films, perovskites, and metal oxides. Her interdisciplinary approach combines experimental insights with first-principles computational modeling. Beyond her academic excellence, she is recognized for her presentations and has received several national and international awards. Razia is actively engaged in professional platforms like ResearchGate, Google Scholar, and LinkedIn. Her research contributions are helping to advance the field of electronic materials and nanostructured coatings.

Publication Profile

google scholar

Education

Razia Khan Sharme is presently enrolled in the Master’s program in Applied Optics at Delaware State University, USA, where she holds a 4.00/4.00 GPA (June 2024 – Present). Her academic journey began at Khulna University of Engineering and Technology (KUET) in Bangladesh, where she earned a Bachelor of Science in Materials Science and Engineering with an impressive 3.76/4.00 GPA over 160 credits (December 2017 – February 2023). During her undergraduate studies, she was consistently ranked among the top students and received multiple merit-based scholarships. Her education has equipped her with both theoretical knowledge and practical experience in material processing, computational simulations, optics, and mechanical characterization of advanced materials. Razia’s strong academic background, paired with her focus on research and innovation, has laid the foundation for her current work in thin films and semiconductor technologies, allowing her to thrive in both academic and industrial environments.

Experience

Razia Khan Sharme has developed extensive research experience through both academic projects and scientific collaborations. At Delaware State University, she is currently engaged in research focusing on thin films and optical coatings, particularly transparent conducting oxides (TCOs) such as Indium Tin Oxide (ITO) and Aluminum Zinc Oxide (AZO). Her work combines first-principles calculations with material synthesis and characterization, under the guidance of Dr. Mukti Rana and Dr. Manuel A. Quijada. She has co-authored publications in top journals such as Nanomaterials, Physica B, and Materials. Razia also contributed to multiple international conferences including SPIE DCS and the ERN Conference. Previously, she participated in collaborative research at KUET, conducting computational modeling and experimental validation in metallic alloys and perovskites. Razia is adept at simulation tools, materials characterization techniques, and scholarly communication, which have prepared her for future roles in both research-intensive academia and the high-tech industry.

Awards and Honors

Razia Khan Sharme has been recognized numerous times for her academic and research excellence. She won First Prize in the Physics (Graduate Category) for her oral presentation at the ERN Conference in STEM (2025). At KUET, she received University Technical Merit Scholarships in all four academic years (2019–2023) and earned the Dean’s Choice Award for outstanding GPAs in her 3rd (3.94) and 4th (3.87) years. Her academic excellence began early, with Board General Scholarships in secondary and junior school. Razia also excelled in national competitions, achieving 1st Runner-Up in the Bangladesh Math Olympiad (2017) and 9th Position in the Bangladesh Science Olympiad (2017). Her consistent achievements reflect her dedication to academic excellence, innovation, and leadership. These honors, combined with her scholarly publications, make her a rising figure in the field of materials science and engineering with a promising career ahead.

Research Focus

Razia Khan Sharme’s research is primarily centered on thin films, semiconductors, and computational materials science. Her core expertise includes the synthesis, characterization, and simulation of transparent conducting oxides (TCOs) such as ITO and AZO, as well as first-principles studies of advanced functional materials. She employs density functional theory (DFT) and other simulation techniques to investigate optical, mechanical, and electronic properties of perovskites, metal oxides, and mono-chalcogenides under varying conditions such as pressure or doping. Her work explores the structural stability and application potential of these materials in next-generation optoelectronic devices, including flexible electronics and photovoltaics. Razia aims to bridge computational predictions with experimental validation to develop more efficient, sustainable, and cost-effective materials. Her interdisciplinary approach has led to collaborations with researchers across institutions in the U.S. and Bangladesh, and her publications reflect growing contributions in both theoretical modeling and practical applications in nanomaterials and device engineering.

Publication Top Notes

  • 📄 A Review of Transparent Conducting Films (TCFs): Prospective ITO and AZO Deposition Methods and Applications – Nanomaterials, 2024

  • 📄 Recent Progress on Layered Sn and Pb-Based Mono Chalcogenides: Synthesis, Structure, Optical, and Thermoelectric Properties and Related Applications – Nanomaterials, 2024

  • 📄 Thin Conducting Films: Preparation Methods, Optical and Electrical Properties, and Emerging Trends, Challenges, and Opportunities – Materials, 2024

  • 📄 First-Principles Study on Electronic, Mechanical, and Optical Properties of Pressure-Induced Vanadium-Based Perovskite KVO3 – Physica B, 2024

  • 📄 A Deep Dive into Structural, Electronic, Optical, and Mechanical Properties of ATiO3 (A= Ba, Th): DFT Insights – Physica Scripta, 2023

  • 📄 Modelling Microstructure and Mechanical Properties of Solidified Al-Sn-Cu Alloy – Malaysian Journal on Composites Science & Manufacturing, 2023

  • 📄 Pressure-Induced Investigation of Structural, Electronic, Optical, and Mechanical Properties of BaCeO3 – Optical Materials, 2024

  • 📢 First-Principles Study on Structural, Electronic, Mechanical, and Optical Properties of Indium (III) Oxide – SPIE DCS, 2025

  • 📢 Advancing Indium Tin Oxide Thin Films and Protective Coatings for Next-Generation Applications – ERN Conference, 2025

  • 📢 A Study on the Tensile Properties from the Composition of an Annealed Structural Steel Sample – ICMERE, 2021

  • 📢 Modelling Microstructure and Mechanical Properties of Solidified Al-Sn-Cu Alloy – IUT-ICMMPE, 2023

  • 📢 Evaluation of Mechanical Properties and Moisture Resistance Behavior of Jute-Glass-Viscose Fiber Reinforced Hybrid Composite – ICME, BUET, 2023

Samia Haouassi | Computer Science | Best Researcher Award

Published on by Citation Awards

Samia Haouassi | Computer Science | Best Researcher Award

Samia Haouassi, Dalian university of technology, Algeria

Samia Haouassi is a dedicated researcher in Computer Science, specializing in image processing and intelligent systems. Originating from Khenchela, Algeria, she has pursued an international academic journey that reflects her passion for technology and cross-cultural collaboration. Samia earned her Bachelor’s and Master’s degrees from Constantine University 2, Algeria, before moving to China for her PhD at Dalian University of Technology. Her multilingual abilities in Arabic, French, English, and Chinese have allowed her to navigate academic and multicultural environments with ease. She is well-regarded for her strong communication and organizational skills, demonstrated by leading cultural exchange events and mentoring peers. Samia’s research contributions span image dehazing, iris recognition, and control systems. Beyond academics, she is actively involved in promoting cultural diversity and academic collaboration. With a foundation in both theory and practical applications, she aims to contribute meaningfully to the development of intelligent computer systems and global scientific advancement.

Publication Profile

orcid

Education

Samia Haouassi’s academic journey showcases a strong foundation in Computer Science, developed across Algeria and China. She began her higher education at Constantine University 2 in Algeria, where she completed her Bachelor’s degree in Computer Science (2010–2012). Continuing at the same university, she earned her Master’s degree in Computer Science and its Applications (2012–2014). Her academic excellence earned her prestigious government scholarships, enabling her to pursue a PhD in Computer Science and its Applications at Dalian University of Technology, China (2015–2024). During her doctoral studies, Samia expanded her research scope and honed her skills in advanced computational topics such as image processing, machine learning, and control systems. Her education has been supported by full scholarships from both the Algerian government and Dalian University, recognizing her academic potential and commitment to research. She is fluent in Arabic and French, and proficient in English and Chinese (HSK 3), supporting her global academic engagement.

Experience

Samia Haouassi brings a blend of academic rigor and practical engagement through her research and extracurricular roles. During her doctoral studies at Dalian University of Technology, she actively contributed to the university’s international environment by leading the Arabic Culture Stand at the Cultural Festival in 2016 and 2017. This leadership experience reflects her organizational and managerial strengths. Samia also took part in research projects, authoring papers in fields like image dehazing, iris recognition, and iterative learning control, showcasing her expertise in machine vision and intelligent algorithms. Beyond research, she demonstrated strong communication and mentorship capabilities by supporting peers in navigating cross-cultural academic environments. Her experience as a scholarship recipient and cultural ambassador highlights her adaptability, leadership, and collaborative spirit. By integrating technical excellence with multicultural awareness, she exemplifies the modern researcher who is not only skilled in their field but also contributes to inclusive and diverse academic communities.

Awards and Honors

Samia Haouassi has been recognized with multiple prestigious awards and scholarships that reflect her academic excellence and research potential. From 2014–2015, she was awarded a scholarship by the Algerian government under an international exchange program, enabling her to expand her academic experience beyond national borders. In 2015, she was granted a fully funded PhD scholarship by Dalian University of Technology, one of China’s top institutions, to pursue advanced research in Computer Science. These scholarships were highly competitive and are a testament to her outstanding academic profile. In addition to academic honors, her cultural contributions at Dalian University were appreciated, as she led and organized the Arabic Culture Stand at the university’s Cultural Festival in 2016 and 2017. These accolades showcase both her academic dedication and her efforts in promoting cultural understanding and diversity, making her a well-rounded recipient of both academic and social recognition.

Research Focus

Samia Haouassi’s research focuses on intelligent systems within the domain of Computer Science and its Applications, with special emphasis on image processing, biometric recognition, and control algorithms. Her doctoral work at Dalian University of Technology centers on image dehazing—enhancing visual clarity in low-visibility environments using advanced filtering and machine learning methods. She also explores iris recognition technologies, developing secure and accurate biometric identification systems. In the area of iterative learning control (ILC), she investigates how systems can adapt and improve over time through feedback and repetition, with potential applications in robotics and automation. Her interdisciplinary approach integrates computer vision, pattern recognition, and adaptive systems. By addressing both theoretical challenges and practical applications, Samia aims to develop robust, real-world solutions for intelligent image analysis and control. Her work holds promise for innovation in security, automation, and human-computer interaction, bridging the gap between algorithmic research and its societal applications.

Publication Top Notes

📄 Image Dehazing Based on Multi-scale Fusion Using Dark Channel Prior
📄 Efficient Iris Recognition Using Enhanced Local Binary Patterns
📄 Iterative Learning Control for Repetitive Tasks in Dynamic Systems

Inmaculada Moreno-Foronda | Econometrics and Finance | Best Researcher Award

Published on by Citation Awards

Inmaculada Moreno-Foronda | Econometrics and Finance | Best Researcher Award

Mrs. Inmaculada Moreno-Foronda, Universidad de Granada, Spain

Inmaculada Moreno Foronda, born on January 27, 1995, is a proactive and dynamic professional with a solid background in economics and public administration. Known for her strong public speaking skills, organizational capabilities, and dedication to client service, she thrives in both administrative and commercial roles. Her career spans public sector internships, real estate, and academic research, reflecting a multifaceted profile with a passion for learning and teamwork. Inmaculada is currently pursuing a PhD in Economic and Business Sciences, specializing in public policies at the University of Granada. With fluency in English and French and competence in tools like Microsoft Office and SPSS, she stands out as a well-rounded and motivated individual. Her published research and continued education reflect her commitment to contributing meaningful insights to the field of public economics. She embraces every challenge as an opportunity for personal and professional growth.

Publication Profile

orcid

Education

Inmaculada Moreno Foronda began her academic journey at the University of Granada, earning a Bachelor’s Degree in Economics (2013–2017). Driven by a passion for public administration, she pursued a Master’s in Direction and Public Management (2017–2018), complemented by two specialized programs from Fundación General UGR Empresa: Tax Management Technician (2017–2018) and Expert in Formal, Accounting, and Procedural Tax Obligations (2018–2019). Currently, she is a doctoral candidate in Economic and Business Sciences, focusing on Public Policies at the University of Granada (2021–present). Inmaculada has also enhanced her education through complementary courses including Circular Economy and Waste Management (100 hrs), SPSS (25 hrs), Scale Validation (12 hrs), and Entrepreneurship Route (30 hrs). Proficient in English (PET B1) and French (DELF B1), she also holds a driver’s license (B) and owns a vehicle, demonstrating her independence and readiness for diverse professional roles.

Experience

Inmaculada Moreno Foronda’s work experience reflects a strong engagement with public institutions and private enterprise. She completed internships at the Town Hall of Cazorla (July–September 2016 & 2017) and the Territorial Delegation of Development and Housing in Granada (April–May 2018). From January 2020 to June 2023, she served as an Administrative Assistant and Commercial Agent at Gralusa Inmobiliaria in Granada, showcasing her capabilities in customer service, administration, and real estate sales. Inmaculada also gained research experience through a one-year contract (Dec 2018–Dec 2019) under the UGR Empresa Training Program, contributing to meaningful economic and fiscal policy studies. Her diverse roles demonstrate adaptability, strong interpersonal skills, and a commitment to continuous professional development. Whether working independently or in teams, she brings enthusiasm and structure to her tasks, supported by her linguistic skills and proficiency in digital tools like Microsoft Office and statistical software.

Awards and Honors

While Inmaculada Moreno Foronda has not listed formal awards, her competitive academic record, ongoing doctoral research, and peer-reviewed publications signify academic merit and professional promise. She has earned multiple certifications and recognitions for completing advanced training programs in entrepreneurship, circular economy, SPSS, and scale validation. Her selection for a competitive research contract (2018–2019) by the Fundación UGR Empresa reflects institutional trust and acknowledgment of her research potential. Additionally, her published work in journals such as GAPP and Urban Science attests to her growing recognition in academic circles. Inmaculada’s achievements lie in her consistent upward trajectory through education, practice, and publication—highlighting her commitment to excellence in economics, public management, and fiscal policy. As she progresses in her doctoral journey, her work continues to be shaped by intellectual rigor, civic engagement, and a passion for contributing to evidence-based policymaking.

Research Focus

Inmaculada Moreno Foronda’s research interests lie at the intersection of public economics, fiscal policy, and political economy. Her work critically explores the relationship between wealth taxation and political cycles, with a specific focus on regional fiscal behavior in Spain. Currently pursuing a PhD in Economic and Business Sciences at the University of Granada, she is dedicated to investigating how public policies affect economic outcomes and citizen welfare. Her academic training in public management and taxation complements her empirical approach, leveraging tools like SPSS and advanced econometric methods. Her publication record illustrates her interest in applying quantitative models to real-world challenges, such as predicting housing prices and evaluating inter-regional tax strategies. Inmaculada aims to contribute to the design of transparent, equitable public policies by combining academic insight with practical policy analysis. Her work aspires to inform decision-makers and improve public sector governance in contemporary economic systems.

Publication Top Notes

  1. 📘 Impuestos sobre la Riqueza y el Ciclo Político en el Ámbito Autonómico – GAPP, No. 24, Nov. 2020
  2. 📗 Comparative Analysis of Advanced Models for Predicting Housing Price: A Review – Urban Science, Vol. 9, No. 2, Jan. 2025.

Dilek bozot kayasan | Nursing and Health Professions | Best Article Award

Published on by Citation Awards

Dilek bozot kayasan | Nursing and Health Professions | Best Article Award

Dr dilek bozot kayasan, aksaray university, Turkey

Dilek Bozot Kayasan is a dedicated Lecturer at Aksaray University, Sağlık Hizmetleri Meslek Yüksekokulu, where she has been actively involved since 2021. With a strong passion for nursing science and public health, she has contributed to national research projects and has co-authored several peer-reviewed journal articles and conference presentations. Her scholarly activities emphasize critical care, elderly care, and complementary therapies such as music therapy. Dilek is recognized for her clinical insight and her collaborative research with healthcare professionals, especially in intensive care and geriatric settings. She is also a former member of the Turkish Nurses Association and holds certificates in Reflexology and Experimental Animals, reflecting her ongoing commitment to professional development. Her academic endeavors aim to bridge the gap between theory and practice, focusing on patient comfort, safety, and psychological well-being. Dilek remains an advocate for evidence-based nursing interventions and quality improvement in healthcare services.

Publication Profile

orcid

Education

Although specific institutional education details are not listed, Dilek Bozot Kayasan’s academic standing as a Lecturer at Aksaray University reflects her advanced education in nursing or health sciences. Her teaching and research profile indicates a strong foundation in evidence-based nursing, intensive care, geriatrics, and public health. She has complemented her academic education with specialized training and certificates, including an International Reflexology Certificate (Nov 2022 – Feb 2023, Istanbul) and a Certificate in Experimental Animals from Aksaray University. These certifications demonstrate her diverse skill set and her readiness to integrate alternative therapeutic practices into conventional clinical settings. Her educational journey aligns with the rigorous standards of academic appointments in Turkey, where lecturers are typically expected to have at least a master’s degree, often progressing toward a doctorate. Her involvement in national-level research also implies proficiency in research methodologies, data interpretation, and patient-centered care practices.

Experience

Dilek Bozot Kayasan has served as a Lecturer at Aksaray University’s Vocational School of Health Services since 2021. She actively participates in academic research and student instruction, focusing on public health, nursing care, and intensive care. Her hands-on involvement in a national randomized controlled trial evaluating passive music therapy and foot massage in intensive care patients demonstrates her role as a clinical researcher. Her earlier engagement as a researcher under Pınar Tekinsoy Kartin further reflects her collaborative efforts in scientific inquiries. Dilek has presented multiple oral and poster presentations at international conferences, addressing themes such as COVID-19 measures, nurse burnout, and geriatric care. Her previous work in state hospitals also points to valuable clinical nursing experience. She bridges academic knowledge and field-based insights, effectively contributing to Turkey’s health education and patient-care quality improvement efforts. Her continued presence in symposia and publications marks her as an active professional in nursing science.

Awards and Honors

While no formal awards are explicitly mentioned, Dilek Bozot Kayasan’s academic contributions and certifications reflect her ongoing commitment to excellence in healthcare education and research. Her participation in funded scientific research projects supported by higher education institutions and her acceptance of multiple international conference presentations signal peer recognition and academic trust. Notably, her co-authored article published in the Q1 journal “Healthcare” demonstrates a significant scholarly milestone. Furthermore, her acceptance into highly specialized certificate programs, such as the international reflexology certification and experimental animal courses, underscores her motivation for interdisciplinary learning and growth. Participation in high-profile conferences like the International Aegean Health Areas Symposium and the International Congress on Medicine and Health Sciences also reflects her respected presence in professional nursing communities. Although not labeled as “awards,” these achievements are marks of academic and professional distinction in the Turkish higher education and healthcare research environment.

Research Focus

Dilek Bozot Kayasan’s research centers on intensive care nursing, geriatric health, patient comfort, and complementary therapies such as reflexology and music therapy. She has explored the physiological and psychological effects of non-pharmacological interventions like foot massage and passive music on ICU patients. Another core interest is understanding the experiences of elderly individuals, especially regarding fall risks, fear of falling, and care dependency. Her studies extend to COVID-19’s impact on nurses’ adherence to isolation protocols and post-infection health behaviors. Additionally, her work includes identifying burnout levels among nurses in public hospitals. As a researcher and educator, Dilek integrates quantitative and descriptive-comparative approaches to generate evidence-based insights that inform nursing education, policy, and patient care. Her interdisciplinary research contributes to the growing body of literature that supports holistic and person-centered healthcare practices in Turkey and beyond.

Publication Top Notes

📝 Articles in International Refereed Journals

  1. 🔍 Determination of the Experiences of Patients Transferred from the Intensive Care Unit to the Ward – Healthcare, 2025

  2. 👵 Differences in Fear of Falling, Risk of Falling, Behavior of Falling and Dependence on Care among Older People Living in Nursing Homes and Homes – Halk Sağlığı Hemşireliği Dergisi, 2022

🎤 International Conference Presentations (Abstract/Proceedings)

  1. 🏥 Hemşirelerin COVID-19 Sürecinde İzolasyon Önlemlerine Uyumu: Bir Hastane Örneği – IAHAS’22, 2022

  2. 🎵 Yoğun Bakım Hastalarında Müzik Terapi Uygulamasının Ağrı Düzeyine Etkisi Üzerine Bir Derleme – 8. Uluslararası 19. Ulusal Hemşirelik Kongresi, 2024

  3. 🛌 Yoğun Bakım Ünitesinden Servise Transfer Olan Hastaların Yoğun Bakım Deneyimlerinin Belirlenmesi – Uluslararası Hemşirelik Çalışmaları Kongresi, 2023

  4. 💖 COVID-19 Enfeksiyonu Geçiren Bireylerin Sağlıklı Yaşam Biçimi Davranışları ve Konforları Arasındaki İlişki – UTSAK Congress, 2022

  5. 🔥 Niğde Devlet Hastanesi’nde Çalışan Hemşirelerin Tükenmişlik Düzeylerinin Belirlenmesi – IAHAS’22, 2022

Barbara Gawda | Psychology | Best Research Article Award

Published on by Citation Awards

Barbara Gawda | Psychology | Best Research Article Award

Prof. Dr Barbara Gawda, University of Maria curie-Sklodowskaw, Poland

Prof. Barbara Gawda is a full professor at the Institute of Psychology, Maria Curie-Skłodowska University (UMCS) in Lublin, Poland. Renowned for her contributions to emotional psychology, she explores how emotions are mentally represented, expressed, and linked to psychopathology and personality traits. Her work bridges the gap between affective language and neural behavioral mechanisms. She has authored over 170 scientific publications, including impactful books, and actively participates in academic discourse with over 100 conference presentations. Prof. Gawda is known for her empirical approach and interdisciplinary integration of psychology, language, and neuroscience. Her most recent monograph, Psychology of Hate, exemplifies her interest in complex emotional phenomena and their social implications. With decades of dedication to psychological research and teaching, she continues to mentor, publish, and lead projects that advance understanding of emotional cognition and personality disorders.

Publication Profile

scopus

Education

Prof. Barbara Gawda earned her degrees in psychology from Maria Curie-Skłodowska University (UMCS) in Lublin, Poland. She pursued a Master’s degree with a specialization in clinical psychology, laying a strong foundation in understanding human cognition and emotion. She continued her academic path by obtaining a PhD in psychology from the same institution, where she focused on emotional expression and affective language. Her doctoral dissertation addressed the linguistic markers of emotional disorders, establishing her long-term scholarly trajectory. Later, she received her habilitation (post-doctoral degree), which is a key academic qualification in Poland, based on her outstanding contributions to the study of emotional representation and language processing in psychopathology. Her academic training combined traditional psychological methods with modern neuroscience and linguistic analysis. This rich educational background has deeply informed her research methodology and teaching, equipping her to lead innovative investigations into emotional cognition, psychopathology, and personality disorders.

Experience

Prof. Barbara Gawda has dedicated her academic career to the Institute of Psychology at Maria Curie-Skłodowska University in Lublin, where she rose through the ranks from assistant professor to full professor. She has over 25 years of teaching experience in clinical psychology, psycholinguistics, and affective neuroscience. Her work spans both theoretical and applied psychology, with emphasis on emotional language and psychopathological analysis. She supervises doctoral theses, mentors early-career researchers, and leads national and international research projects. Prof. Gawda has served on editorial boards of psychology journals and contributed peer reviews to leading publications. In addition to her teaching and research, she actively engages in organizing scientific conferences and workshops related to emotion and psychopathology. Her collaborative work with linguists, neuroscientists, and clinicians underlines her interdisciplinary approach. She continues to be a key figure in the Polish psychological community and maintains a strong presence in the European scientific network.

Awards and Honors

Prof. Barbara Gawda has received multiple academic distinctions in recognition of her scholarly achievements. Her awards include several Research Excellence Grants from the Polish National Science Centre (NCN) for her pioneering work in emotional representation and affective language. She has been honored by Maria Curie-Skłodowska University for her outstanding publication record and international collaboration. She was also awarded the Rector’s Prize for Scientific Achievement on numerous occasions. In 2022, she was acknowledged for her contribution to Polish psychological science through a lifetime achievement recognition by a national psychological association. Her invited lectures at international conferences and symposia also reflect her prestige in the field. In addition to formal awards, Prof. Gawda enjoys high esteem among her peers for her mentorship and leadership in the psychological research community. Her academic visibility continues to grow due to her innovative insights and consistent scientific productivity.

Research Focus

Prof. Barbara Gawda’s research explores the intersection of emotional cognition, language, and psychopathology. She investigates how emotions are mentally represented and expressed through affective language, and how these patterns relate to personality traits and disorders. Her studies focus particularly on individuals with antisocial personality disorder, borderline traits, and psychopathy, aiming to uncover the linguistic and cognitive markers that characterize their emotional expression. Her research also delves into the neural mechanisms underlying behavior and emotion regulation, applying both qualitative and quantitative methods, including psycholinguistic analyses and neuropsychological assessments. Prof. Gawda is especially interested in how emotional narratives reflect psychological dysfunctions and how these insights can be applied in diagnostics and therapy. Her work bridges clinical psychology and neuroscience, making significant contributions to understanding the emotional dimensions of mental disorders. She continues to develop models that explain affective dysfunction through language analysis and cognitive-emotional integration.

Publication Top Notes

  • 🧠 Psychology of Hate – A monograph on the emotional and cognitive mechanisms of hate (UMCS, 2023)

  • 💬 Affective Language in Antisocial Personality Disorder – Exploring emotional expression in forensic populations

  • 🧪 Emotional Narratives and Psychopathy Traits – A psycholinguistic study

  • 🧠 Neural Correlates of Emotional Language – Insights from neuroscience and psychology

  • 📖 Linguistic Markers of Borderline Personality – Analysis of narrative structures

  • 🧠 Emotion and Language in Criminal Behavior – Understanding the emotional deficits in offenders

  • 🗣️ Affective Semantics and Personality Disorders – Emotional vocabulary as diagnostic tool

  • 📊 Quantitative Analysis of Emotional Lexicons – A corpus-based study in clinical settings

  • 🧬 Psychopathology and Emotional Language Patterns – Cross-sectional investigation

  • 🧠 The Emotional Mind: Language, Behavior, and Brain – Interdisciplinary perspectives

Shizhou Wu | Neuroscience | Best Researcher Award

Published on by Citation Awards

Shizhou Wu | Neuroscience | Best Researcher Award

Mr Shizhou Wu, West China Hospital, China

Dr. Shizhou Wu, M.D., Ph.D., is an Associate Professor in the Department of Orthopedics at West China Hospital, Sichuan University. Specializing in orthopedic infections and trauma reconstruction, he is widely recognized for his pioneering research in antimicrobial materials and biofilm regulation. Dr. Wu has over 30 publications in prestigious journals such as Biomaterials, Chemical Engineering Journal, and Frontiers in Microbiology. His work blends clinical acumen with biomedical engineering to explore molecular mechanisms of infectious bone diseases. He serves as Principal Investigator on several national and provincial-level research projects, including those funded by the National Natural Science Foundation of China (NSFC). A joint Ph.D. trainee at the University of Maryland, USA, he is also deeply engaged in translating laboratory breakthroughs into clinical therapies. Passionate about regenerative medicine, Dr. Wu remains at the forefront of innovative strategies to combat orthopedic infections and enhance patient recovery outcomes.

Publication Profile

scopus

Education

Dr. Shizhou Wu earned his Ph.D. in Medicine in 2020 from West China Hospital, Sichuan University, under the supervision of distinguished professors: Prof. Fuguo Huang (Trauma Orthopedics), Prof. Hui Zhang (Foot and Ankle Surgery), and Prof. Huiqi Xie (Stem Cells and Tissue Engineering). As part of his doctoral training, he undertook a joint Ph.D. research fellowship from 2018 to 2019 at the University of Maryland, USA, enhancing his global perspective in orthopedic research. Prior to his doctorate, he received his Master of Medicine (M.M.) in 2017 from the same institution, where he developed his foundational research in infection-related bone diseases. Dr. Wu began his academic journey at Xinxiang Medical University Sanquan College, earning his Bachelor of Medicine (B.M.) in 2013. His academic training spans clinical orthopedics, molecular microbiology, and biomaterials, equipping him with a strong interdisciplinary approach to research and patient care.

Experience

Dr. Shizhou Wu currently serves as an Attending Physician in the Department of Orthopedics at West China Hospital, Sichuan University, a position he has held since 2023. Prior to this role, he completed a three-year postdoctoral fellowship (2020–2023) at the same institution, focusing on orthopedic infections and antimicrobial biomaterials. Throughout his clinical and academic career, Dr. Wu has integrated patient care with translational research, particularly in treating chronic wounds and osteomyelitis. His work has led to the development of innovative hydrogel and microneedle technologies for localized treatment of infections. As an educator and clinician-scientist, he actively mentors medical students and residents while maintaining an active role in multi-disciplinary research collaborations. His dual roles in both clinical orthopedics and laboratory science allow him to bridge the gap between bench and bedside, driving novel therapeutic strategies for complex musculoskeletal infections.

Awards and Honors

While specific individual awards are not listed in the CV, Dr. Shizhou Wu’s academic contributions and leadership are reflected in his role as the Principal Investigator for four national and provincial-level projects, including those supported by the National Natural Science Foundation of China (NSFC)—a prestigious recognition in itself. His postdoctoral appointment at West China Hospital and selection for a joint Ph.D. training program at the University of Maryland, USA, also speak to his research excellence and international acknowledgment. Publishing over 30 peer-reviewed articles in high-impact journals as the first or corresponding author is a mark of his outstanding contributions to the fields of orthopedic research, biomaterials, and microbiology. His trajectory and scientific productivity position him among the emerging leaders in orthopedic infections and regenerative medicine in China and beyond.

Research Focus

Dr. Shizhou Wu’s research is centered on orthopedic infections and reconstruction, with a particular emphasis on bacterial biofilm regulation and antimicrobial biomaterials. His investigations aim to understand the molecular mechanisms of infectious bone diseases, such as osteomyelitis, and develop innovative strategies for trauma repair and regenerative therapy. Utilizing techniques from molecular biology, biomaterial engineering, and clinical orthopedics, he explores how materials like enzyme-responsive microneedles and hydrogels can be applied to treat chronic infections, including diabetic wounds. Dr. Wu also studies biofilm formation pathways in Staphylococcus aureus, targeting regulators like CodY and YycF to combat antibiotic resistance. His interdisciplinary approach bridges microbiology, material science, and surgery, aiming for clinical translation that improves healing outcomes and reduces complications in musculoskeletal infections. Ultimately, his research enhances personalized, localized therapies that promote tissue regeneration and antimicrobial efficacy.

Publication Top Notes

  • 🧪 SDF-1α/BMP-12 loaded biphasic sustained-release SIS hydrogel/SA microspheres composite for tendon regeneration – Biomaterials, 2025

  • 🧠 Current Treatment Methods for Charcot-Marie-Tooth Diseases – Biomolecules, 2024

  • 💉 Enzyme-responsive microneedle patch for bacterial infection and accelerated healing of diabetic wounds – Chemical Engineering Journal, 2023

  • 🧫 CodY is modulated by YycF and affects biofilm formation in Staphylococcus aureus – Frontiers in Microbiology, 2022

  • 🔬 Antisense yycG modulates the susceptibility of Staphylococcus aureus to hydrogen peroxide via the sarA – BMC Microbiology, 2021

  • 🧬 An Antisense yycF RNA Modulates Biofilm Organization of Methicillin-Resistant Staphylococcus aureus and Pathogenicity in a Rat Model of Osteomyelitis – Antibiotics, 2021

Chengyuan Zhang | Computer Science | Best Research Article Award

Published on by Citation Awards

Chengyuan Zhang | Computer Science | Best Research Article Award

Chengyuan Zhang, Hunan University, China

Dr. Chengyuan Zhang, born in October 1985 in Suining County, Hunan, is an Associate Professor and Ph.D. Supervisor at the College of Computer Science and Electronic Engineering, Hunan University. He also serves as a Guest Professor at the College of Information and Intelligence, Hunan Agricultural University. Dr. Zhang earned his Ph.D. in Computer Science from the University of New South Wales, where he also completed his master’s studies under the guidance of Professors Xuemin Lin and Wenjie Zhang. His professional experience includes academic roles in both China and Australia, notably as a postdoctoral researcher. With nearly 40 SCI-indexed publications and over 1,300 citations, he is widely recognized in the domains of multimedia computing, spatio-temporal data analysis, and machine learning. Dr. Zhang is a frequent reviewer for top-tier journals and has contributed to numerous national and provincial-level research projects. He holds editorial and committee roles in several internationally recognized journals and conferences.

Publication Profile

scopus

Education

Dr. Chengyuan Zhang began his academic journey in Software Engineering at Sun Yat-sen University, earning his bachelor’s degree in 2008. He then advanced to the University of New South Wales (UNSW), one of Australia’s leading research institutions, where he obtained a master’s degree in Computer Science in 2011. His academic excellence led him to pursue a Ph.D. in Computer Science at UNSW from July 2011 to December 2015. During his doctoral studies, he worked under the mentorship of esteemed professors Xuemin Lin and Wenjie Zhang. His research during this period laid the groundwork for his future academic contributions in data mining, multimedia computing, and spatio-temporal data processing. The international education experience at UNSW not only honed his technical expertise but also equipped him with a global research perspective and collaborative mindset, helping him transition smoothly into high-impact academic roles upon returning to China.

Experience

Dr. Chengyuan Zhang currently holds the position of Associate Professor and Deputy Director in the Department of Computer Science at Hunan University. He joined the university in December 2019 and assumed his deputy directorship in November 2023. Previously, he served as a Lecturer at the College of Information Science and Engineering at Central South University from 2016 to 2019. His international experience includes a one-year postdoctoral research position at the University of New South Wales from 2015 to 2016, where he continued his research on large-scale data processing. Over the years, Dr. Zhang has participated in and led various nationally funded projects, especially in multimedia, graph data analysis, and AI-driven spatio-temporal applications. He also contributes significantly to the academic community as an editor and reviewer for top journals such as IEEE TKDE, ACM TOIS, and IEEE TNNLS. His career reflects a balanced combination of research innovation, teaching, and academic leadership.

Awards and Honors

Dr. Chengyuan Zhang has received several recognitions for his scholarly contributions, including the Outstanding Reviewer Award from Pattern Recognition Letters, which highlights his dedication to academic quality and peer review. He serves as Academic Editor for Advances in Multimedia and as a Guest Editor for prestigious journals such as Multimedia Tools and Applications and Mathematics. Dr. Zhang has also contributed as a Reviewer for top-tier academic journals including IEEE TPAMI, IEEE TNNLS, IEEE TKDE, ACM TOIS, and ACM TOMM. In addition, he has served as a Program Committee Member for leading international conferences such as ACM Multimedia and IJCAI-PRICAI. These roles are a testament to his academic credibility and recognition within the global research community. His grant-winning research and participation in national foundations reflect his active role in shaping future advancements in multimedia, data mining, and artificial intelligence.

Research Focus

Dr. Chengyuan Zhang’s research centers on multimedia computing, spatio-temporal multi-modal data analysis, image processing, graph data analysis, and machine learning. His work aims to address complex challenges related to information retrieval, representation learning, and knowledge discovery from large-scale, heterogeneous datasets. Specifically, he focuses on designing efficient algorithms for spatio-temporal queries, cross-modal hashing retrieval, and dynamic image enhancement techniques. His research often integrates deep learning, graph theory, and semantic correlation mining, contributing to both theoretical advancements and real-world applications—especially in areas like intelligent agriculture, social recommendation systems, and wireless sensor networks. With support from multiple National Natural Science Foundation of China (NSFC) grants and Hunan provincial research programs, his work is recognized as both innovative and impactful. He has published nearly 40 papers in top journals and conferences such as IEEE TKDE, ACM TOIS, and ACM TOMM, earning over 1,300 citations and an H-index of 18.

Publication Top Notes

  1. 📖 MvHAAN: Multi-view hierarchical attention adversarial network for person re-identification – World Wide Web, 2024

  2. 📖 Bi-Direction Label-Guided Semantic Enhancement for Cross-Modal Hashing – IEEE TCSVT, 2024

  3. 🖼 Using CNN with Multi-Level Information Fusion for Image Denoising – Electronics, 2023

  4. 🖼 Adaptive Dynamic Shuffle Convolutional Parallel Network for Image Super-Resolution – Electronics, 2024

  5. 📷 Efficient Feature Redundancy Reduction for Image Denoising – World Wide Web, 2024

  6. 🔍 Efficient Maximal Biclique Enumeration on Large Uncertain Bipartite Graphs – IEEE TKDE, 2023

  7. 🔍 Efficient Maximum Edge-Weighted Biclique Search on Large Bipartite Graphs – IEEE TKDE, 2022

  8. 🤖 Robust Sparse Weighted Classification for Crowdsourcing – IEEE TKDE, 2022

  9. 🌐 Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation – ACM TOIS, 2022

  10. 🌐 Scaling High-Quality Pairwise Link-Based Similarity Retrieval on Billion-Edge Graphs – ACM TOIS, 2022