Huifang Niu | Engineering and Technology | Best Researcher Award

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Dr. Huifang Niu | Engineering and Technology | Best Researcher Award

lecturer | North University | China

Huifang Niu, born in September 1986, is a Lecturer at North University of China with a strong academic background in automation and intelligent systems. She earned her Bachelor’s degree in Automation and her M.S. in Pattern Recognition and Intelligent Systems from Mongolian University, Hohhot, China, in 2010 and 2013 respectively. In 2023, she completed her Ph.D. in Complex System Modeling and Simulation at North University of China. Her current research focuses on the Remaining Useful Life (RUL) prediction of complex systems, an important area in predictive maintenance and reliability engineering. As an active researcher and educator in electrical engineering, she has published three SCI-indexed journal articles and continues to contribute to the advancement of intelligent system modeling and predictive analytics. Her interdisciplinary expertise bridges automation, simulation, and intelligent diagnostics, positioning her as a promising figure in applied engineering research.

Professional Profile 

Scopus Profile

Education 

Huifang Niu has pursued a progressive academic path in engineering and intelligent systems. She earned her Bachelor’s degree in Automation from Mongolian University, Hohhot, China in July 2010, laying the foundation for her expertise in control systems and automation technologies. She continued at the same institution to obtain her Master’s degree in Pattern Recognition and Intelligent Systems in July 2013, where she delved deeper into machine learning and intelligent algorithms. Most recently, she completed her Ph.D. in Complex System Modeling and Simulation from North University of China, Taiyuan, in June 2023, with a research focus on predictive modeling and the remaining useful life (RUL) of complex systems. Her academic journey reflects a strong.

Professional Experience 

Huifang Niu is currently serving as a Lecturer at North University of China, where she is actively involved in both teaching and research within the field of electrical engineering. Her professional work centers on the prediction of the Remaining Useful Life (RUL) of complex systems, a vital area in the domains of system reliability and intelligent maintenance. With a strong academic foundation and research focus, she contributes to the academic development of undergraduate and postgraduate students while also engaging in scholarly research. Her role bridges theory and application, combining complex system modeling with real-world engineering challenges. Through her work, she continues to expand her expertise in automation, intelligent diagnostics, and predictive system analysis.

Research Interests

Huifang Niu’s research interests lie at the intersection of complex system modeling, intelligent diagnostics, and predictive maintenance. She is particularly focused on the Remaining Useful Life (RUL) prediction of complex systems, which plays a crucial role in improving system reliability, optimizing maintenance strategies, and reducing operational risks in industrial settings. Her work leverages techniques from pattern recognition, machine learning, and simulation modeling to develop accurate and efficient predictive models. Driven by real-world engineering challenges, her research aims to enhance the performance, safety, and longevity of automated and intelligent systems, contributing meaningfully to the fields of electrical engineering, system reliability, and intelligent systems design.

Awards and Honors

As an emerging scholar in the field of intelligent systems and predictive maintenance, Huifang Niu has begun to establish her academic footprint through SCI-indexed publications and her contributions to complex system modeling. While she has not yet been widely recognized with major national or international awards, her recent completion of a Ph.D. in 2023 and her ongoing research work position her as a strong candidate for future honors. Her dedication to high-quality research, teaching excellence, and contributions to the engineering community suggest that further academic and professional recognition is likely as she continues to advance her scholarly career.

Publications Top Noted

Title: Remaining Useful Life Prediction for Multi-Component Systems with Stochastic Correlation Based on Auxiliary Particle Filter

Year: 2025

Conclusion

Hiufang Niu shows promising early-career researcher qualities, especially with a recent Ph.D. and specialized work in predictive modeling for complex systems. Her academic progression, SCI-indexed publications, and focused research direction provide a strong foundation. However, for a highly competitive “Best Researcher Award,” the scope and impact of contributions could be further enhanced.

Sergio Sandoval-Alarcon | Medicine and Health Sciences | Best Review Paper Award

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Mr. Sergio Sandoval-Alarcon | Medicine and Health Sciences | Best Review Paper Award

Mr. Sergio Sandoval Alarcon | Medicine and Health Sciences | PhD Student at Universidad de Valparaiso | Chile

Dr. Sergio Sandoval-Alarcón is a seasoned Chilean academic and Associate Professor at the School of Kinesiology, Faculty of Medicine, Universidad de Valparaíso. With over two decades of experience in teaching, clinical practice, and curriculum development, he has made significant contributions to the fields of clinical biomechanics, ergonomics, and anatomy education. His research emphasizes improving musculoskeletal health through ergonomic interventions, as demonstrated by his recent publication in the Q1-ranked Applied Ergonomics. Dr. Sandoval-Alarcón holds a Master’s degree in Clinical Biomechanical Assessment and numerous postgraduate diplomas in areas such as scientific research, university teaching, and manual therapy. He has pioneered educational innovations using digital platforms for anatomy instruction and has been a key figure in developing kinesiology programs across multiple Chilean universities. His dedication to health promotion, interdisciplinary collaboration, and pedagogical advancement underscores his commitment to both academic excellence and public health impact.

Professional Profile 

Education 

Dr. Sergio Sandoval-Alarcón has built a robust academic foundation grounded in health sciences and clinical biomechanics. He earned his Bachelor’s degree in Kinesiology with Highest Distinction in 1999 from the Universidad Católica del Maule, Chile, followed by his Master’s degree in Clinical Biomechanical Assessment in 2016 from the prestigious Instituto de Biomecánica de Valencia (IBV), Universitat Politècnica de València, Spain. To further enrich his expertise, he has completed a wide range of postgraduate diplomas and certifications in scientific research, manual therapy, university teaching, coaching, health promotion, and competency-based training. These include programs from the Universidad de Chile, Pontificia Universidad Católica de Chile, Universidad de Playa Ancha, and Universidad de Talca, among others. His diverse and continuous educational journey reflects a deep commitment to lifelong learning and academic excellence.

Professional Experience 

Dr. Sergio Sandoval-Alarcón brings over two decades of rich and diverse professional experience in academia, clinical practice, and health education. He currently serves as an Associate Professor at the School of Kinesiology, Faculty of Medicine, Universidad de Valparaíso, where he has been a tenured faculty member since 2006. His teaching portfolio includes key subjects such as Human Anatomy, Biomechanics, and Clinical Kinesiology, and he has also led curriculum design and innovation initiatives. Beyond the classroom, he has served as a lecturer at several Chilean universities including Universidad de Playa Ancha, Universidad Andrés Bello, and Universidad de Aconcagua. Clinically, he worked extensively in primary health care settings, specializing in musculoskeletal and cardiovascular rehabilitation. Additionally, he has held leadership roles such as Program Director of Kinesiology at Universidad del Mar and has supervised numerous clinical internships and teaching diplomas. His career demonstrates a strong commitment to integrating academic rigor with community health needs.

Research Interests 

Dr. Sergio Sandoval-Alarcón’s research interests lie at the intersection of clinical biomechanics, ergonomics, and health education. He is particularly focused on the biomechanical assessment of human movement and the prevention of work-related musculoskeletal disorders, aiming to improve both clinical outcomes and workplace health. His studies often explore how ergonomic interventions can enhance physical function and reduce injury, especially in high-risk professions like dentistry. In parallel, he is deeply engaged in educational innovation, investigating digital methodologies for teaching anatomy and kinesiology, including the use of social media platforms for academic engagement. Through both applied clinical research and pedagogical development, Dr. Sandoval-Alarcón contributes to advancing health sciences in a multidisciplinary and impactful way.

Awards and Honors 

While Dr. Sergio Sandoval-Alarcón’s CV does not explicitly list formal awards or honors, his professional achievements reflect significant recognition through academic promotions, leadership roles, and scholarly contributions. His appointment as a tenured Associate Professor at the Universidad de Valparaíso highlights his respected status within the academic community. Additionally, his peer-reviewed publications in high-impact journals, such as Applied Ergonomics, and his involvement in national conferences on pedagogical innovation demonstrate professional acknowledgment of his research and teaching excellence. His selection as a tutor and lecturer in multiple postgraduate programs and diplomas further signifies his standing as a trusted expert and educator in the fields of kinesiology and clinical biomechanics.

Publications Top Noted

Title: Impact of ergonomic interventions on musculoskeletal health and work performance in dentists and dental students: a scoping review
Year: 2025

Conclusion

Dr. Sergio Sandoval Alarcón is a strong and competitive candidate for the Best Review Paper Award, primarily on the strength of his 2025 scoping review in a top-tier journal and his deep expertise in clinical biomechanics and ergonomics. His academic maturity, teaching leadership, and commitment to evidence-based practice support his candidacy.

Jaehyun Chung| Computer Science and Artificial Intelligence | Best Researcher Award

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Mr. Jaehyun Chung| Computer Science and Artificial Intelligence | Best Researcher Award

Computer Science and Artificial Intelligence | Korea University | South Korea

Jaehyun Chung is a highly promising M.S. student at Korea University’s Artificial Intelligence and Mobility Laboratory, specializing in Generative AI, Reinforcement Learning, and Quantum AI applications. His research focuses on autonomous systems, AI-based mobility, defense technologies, and intelligent control, reflected in his involvement in over ten major R&D projects funded by prestigious Korean institutions. He has co-authored several high-impact journal articles and conference papers, including works published or under review in IEEE Transactions and ACM venues, and has earned multiple student paper awards, such as the IEEE Seoul Section Bronze Paper Award. Jaehyun demonstrates strong interdisciplinary capability, applying advanced AI techniques to fields as diverse as torpedo evasion, space rocket stabilization, and stock market prediction. Although early in his academic career, his rapid research output, national recognition, and contributions to innovative, real-world AI applications position him as an outstanding young researcher with exceptional potential for future impact.

Professional Profile 

Educational 

Jaehyun Chung pursued both his undergraduate and graduate studies at Korea University, one of South Korea’s leading institutions. He earned his Bachelor of Science (B.S.) in Electrical and Computer Engineering from the College of Engineering, completing the program between March 2017 and August 2023. Following his undergraduate success, he continued at Korea University to pursue a Master of Science (M.S.) in Electrical and Computer Engineering, starting in September 2023, where he is currently engaged in advanced research in Artificial Intelligence and Mobility. His academic path reflects a strong and consistent focus on engineering and cutting-edge AI technologies.

Professional Experience 

Jaehyun Chung is currently serving as a Research Assistant at the Artificial Intelligence and Mobility Laboratory at Korea University since September 2023, under the guidance of Professor Joongheon Kim. In this role, he actively contributes to a wide range of advanced R&D projects focused on AI-based autonomous systems, reinforcement learning, and quantum AI technologies. His professional experience includes hands-on involvement in nationally funded initiatives such as the Quantum Hyper-Driving Project, AI Bots Collaborative Platform, and Learning-Based Swarm Mission Planning Algorithms, among others. Jaehyun’s work spans across various sectors including defense, mobility, construction, and education, highlighting his ability to apply AI innovations to real-world challenges through practical, cross-disciplinary research collaborations.

Research Interests 

Jaehyun Chung’s research interests lie at the intersection of Artificial Intelligence, Autonomous Systems, and Quantum Computing. He is particularly focused on Generative AI technologies, including Transformer-based architectures, and their application in dynamic environments. A key area of his work involves AI-based Autonomous Control, where he utilizes advanced Reinforcement Learning techniques to optimize decision-making in systems such as autonomous vehicles, robotic platforms, and defense mechanisms. Additionally, his growing involvement in Quantum Reinforcement Learning and Federated Learning reflects a forward-looking approach to building scalable and intelligent systems. His research is deeply interdisciplinary, targeting real-world problems in mobility, finance, aerospace, and military applications through the lens of cutting-edge AI innovation.

Awards and Honors 

Jaehyun Chung has received several prestigious awards recognizing his innovation and excellence in research at an early stage in his academic career. In December 2024, he was honored with the IEEE Seoul Section Best Student Bronze Paper Award for his impactful work on stock prediction using correlation graph-based proximal policy optimization. In November 2024, he received the Outstanding Paper Award from the Korean Institute of Communications and Information Sciences (KICS) for his research on reinforcement learning-based countermeasure tactics against torpedo threats. Additionally, he earned another Bronze Paper Award at the IEEE Seoul Section Student Paper Contest in December 2023 for developing reinforcement learning strategies for aircraft taxi routing. These accolades reflect Jaehyun’s strong analytical skills, innovative thinking, and significant contributions to the fields of AI and autonomous control.

 Publications 

Title: Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse
Authors: S. Park, J. Chung, C. Park, S. Jung, M. Choi, S. Cho, J. Kim
Year: 2024
Cited by: 19

Title: Realizing Stabilized Landing for Computation-Limited Reusable Rockets: A Quantum Reinforcement Learning Approach
Year: 2024
Cited by: 17

Title: Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks
Authors: G. S. Kim, Y. Cho, J. Chung, S. Park, S. Jung, Z. Han, J. Kim
Year: 2024
Cited by: 4

Title: DDPG-based Deep Reinforcement Learning Tactics for Defending Torpedo Attacks
Authors: J. Chung, C. Im, J. Choi, Y. Yoon, S. Park
Year: 2024
Cited by: 1

Title: Correlation-Assisted Spatio-Temporal Reinforcement Learning for Stock Revenue Maximization
Year: 2025

Title: Multi-Modal LLM-Based Fully-Automated Training Dataset Generation Software Platform for Mathematics Education
Year: 2025

Title: Trends in Reinforcement Learning Methods for Stock Prediction
Year: 2024

Conclusion 

Jaehyun Chung is an exceptionally strong early-career researcher who demonstrates intellectual depth, research versatility, and practical relevance across AI domains. He possesses all the qualities sought in a Best Researcher Award.

Narin Derin | Neuroscience | Best Researcher Award

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Prof. Dr. Narin Derin | Neuroscience | Best Researcher Award

Akdeniz University | Turkey

Prof. Narin Derin is a distinguished academic and researcher in the field of medical sciences, specializing in neurophysiology, human physiology, and biophysics. With over two decades of experience at Akdeniz University, she has made significant contributions to understanding cognitive functions, ischemia-reperfusion injury, neurochemical pathways, and the impact of environmental factors such as electromagnetic radiation on brain health. Prof. Derin has published extensively in high-impact, peer-reviewed SCI/SCI-Expanded journals, supervised numerous postgraduate and doctoral theses, and actively participated in academic committees and university governance. Her work is characterized by interdisciplinary depth, methodological rigor, and a strong commitment to scientific mentorship. While her research is nationally prominent, continued international collaboration and translational innovation would further elevate her global academic profile. Overall, Prof. Derin stands out as a highly accomplished and impactful researcher in fundamental medical sciences.

Professional Profile 

Educational Background

Prof. Narin Derin began her academic journey in medicine at Ankara University, where she completed her undergraduate studies at the Faculty of Medicine between 1988 and 1995. She later pursued specialization in Physiology at Akdeniz University, earning her postgraduate degree from the Faculty of Medicine between 1997 and 2001. Her doctoral research focused on the protective effects of L-Carnitine against ischemia-reperfusion-induced gastric injury, reflecting her early interest in experimental and molecular medicine. Throughout her academic progression, she has combined a strong foundation in medical education with specialized training in neurophysiology and biophysics, laying the groundwork for her future research and teaching excellence.

Professional Experience 

Prof. Narin Derin has built a remarkable academic career at Akdeniz University, serving in various progressive roles across more than two decades. She began as a Research Assistant (1997–2001) in the Department of Basic Medical Sciences, followed by her role as an Expert and later Lecturer with PhD between 2001 and 2006. Her academic trajectory continued with appointments as Assistant Professor, Associate Professor, and finally Full Professor in 2012, a position she continues to hold. Beyond teaching and research, she has taken on significant administrative responsibilities, including serving as Director of the Institute of Health Sciences (2015–2020), Senate Member, Faculty Board Member, and BAP Scientific Commissioner. Her professional journey is marked by leadership, research excellence, and a strong commitment to institutional development and medical education.

Research Interests 

Prof. Narin Derin focuses her research on the intricate mechanisms of the nervous system, with particular emphasis on neurophysiology, human physiology, and biophysics. Her scientific investigations explore critical areas such as learning and memory, neurodegenerative diseases, ischemia-reperfusion injury, and the molecular effects of neuropeptides, sulfites, and glutamate. She has also conducted pioneering studies on transcranial direct current stimulation, radiofrequency radiation exposure, and oxidative stress-related neuronal damage. With a multidisciplinary approach, her work bridges experimental neurobiology and clinical implications, contributing valuable insights into the prevention and treatment of cognitive dysfunctions and brain injuries. Her research continues to evolve through collaborations and mentoring of graduate students in cutting-edge neuroscience topics.

Awards and Honors 

While specific individual awards and honors are not explicitly listed in the available records, Prof. Narin Derin has earned academic distinction and institutional trust through a series of prestigious appointments and leadership roles at Akdeniz University. Her selection as Director of the Institute of Health Sciences, Member of the University Senate, and Scientific Research Projects (BAP) Commissioner reflects high-level recognition of her academic excellence and leadership capabilities. Additionally, her repeated involvement in doctoral thesis juries, faculty appointment committees, and qualification panels across various years underscores her respected status in the scientific and educational community. These honors highlight her ongoing influence and commitment to advancing medical science and academic governance.

Publications Top Noted

Title: Effects of L-carnitine on aging-related learning changes and glutamate-mediated molecular mechanisms
Year: 2025

Title: Central treatment of neuropeptide-S attenuates cognitive dysfunction and hippocampal synaptic plasticity impairment by increasing CaMKII/GluR1 in hemiparkinsonian rats
Year: 2025

Title: The effects of short-term and long-term 2100 MHz radiofrequency radiation on adult rat auditory brainstem response
Year: 2025

Title: Unveiling placental development in circadian rhythm-disrupted mice: A photo-acoustic imaging study on unstained tissue
Year: 2024

Title: Chronic Nasal Administration of Kisspeptin-54 Regulates Mood-Related Disorders Via Amygdaloid GABA in Hemi-Parkinsonian Rats
Year: 2024

Title: Nasal application of kisspeptin-54 mitigates motor deficits by reducing nigrostriatal dopamine loss in hemiparkinsonian rats
Year: 2024

Conclusion

Prof. Narin Derin demonstrates outstanding merit in neuroscience research, particularly in neurophysiology, cognitive function, and neurochemical modulation. Her academic depth, sustained research output, and leadership in postgraduate education make her a very strong candidate for a Best Researcher Award in the field of Medical and Health Sciences.

Nisha Mathews | Humanities and Science Integration | Research Hypothesis Excellence Award

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Dr. Nisha Mathews | Humanities and Science Integration | Research Hypothesis Excellence Award

Nisha Mathews | Humanities and Science Integration | Assistant Professor of Nursing at University of Houston Clear Lake Texas | United States

Dr. Nisha Mathews, Ph.D., RN, is a distinguished nursing scholar, educator, and researcher with a strong commitment to advancing health equity, cultural competence, and public health within diverse communities. Currently serving as an Assistant Professor at the University of Houston–Clear Lake, she brings over two decades of clinical and academic experience across the U.S., Ireland, and India. A recipient of the prestigious Virginia Chandler Dykes Scholarship and a Scholar of the STTI Nurse Faculty Leadership Academy, Dr. Mathews also serves as the Research Chair of the National Association of Indian Nurses of America. Her research portfolio includes over a dozen peer-reviewed publications and numerous international and national presentations, with a focus on COVID-19 vaccine hesitancy, health disparities among South Asians, and nursing education innovation. Dr. Mathews’ interdisciplinary work and leadership reflect a deep dedication to empowering nurses, addressing healthcare inequities, and promoting culturally competent care across the healthcare continuum.

Professional Profile 

Education 

Dr. Nisha Mathews holds a Ph.D. in Nursing Science from Texas Woman’s University (2020), where her dissertation focused on “Cultural Competence and Knowledge of South Asian Culture of Registered Nurses Working in an Urban Hospital Setting.” She earned her M.S.N. in Nursing Education from Walden University in 2013, completing a project on “Fall Prevention Among the Elderly.” Her foundational nursing education began at Delhi University’s R.A.K. College of Nursing, where she completed a B.Sc. (Hons.) in Nursing in 2003, researching “Knowledge of Waste Disposal Among Post-Natal Mothers in a Maternity Unit.” Her academic path reflects a consistent focus on culturally sensitive care and patient safety.

Professional Experience 

Dr. Nisha Mathews brings a rich and diverse professional background spanning clinical practice, nursing education, and research. She currently serves as an Assistant Professor in the R.N. to B.S.N. Program at the University of Houston–Clear Lake, where she contributes to shaping future nursing professionals through academic instruction and mentorship. Her clinical experience includes roles at H.C.A. Houston Clear Lake, where she provided interdisciplinary patient care across multiple units including Progressive Care and Geropsychiatry. She has also served as a pediatric and emergency RN in Ireland at Our Lady’s Hospital for Children, and as a cardiac and pediatric nurse at Escort Heart Institute in Delhi, India. Dr. Mathews is known for her collaborative approach, excellence in patient and family education, and leadership in culturally responsive care practices across international healthcare settings.

Research Interests 

Dr. Nisha Mathews’ research interests are rooted in advancing culturally competent healthcare, reducing health disparities, and improving public health outcomes among minority populations, particularly South Asian communities. Her scholarly work explores critical areas such as cultural competence in nursing, COVID-19 vaccine hesitancy, maternal health equity, and social determinants of health. She is especially passionate about examining racial and ethnic disparities in chronic disease management and patient outcomes. Additionally, Dr. Mathews is committed to transforming nursing education through innovative teaching strategies like HyFlex learning and critical thinking development. Her research reflects a strong interdisciplinary approach, combining nursing science, public health, and health informatics to drive systemic change and equity in healthcare delivery.

Awards and Honors 

Dr. Nisha Mathews has been recognized for her academic excellence and leadership in nursing through several prestigious honors. She was awarded the Virginia Chandler Dykes Scholarship in 2020 for her outstanding contributions to nursing education and research. Further affirming her leadership potential, she was selected as a Scholar of the Nurse Faculty Leadership Academy by Sigma Theta Tau International (STTI), a globally respected honor society of nursing. In addition, she currently serves as the Research Chair for the National Association of Indian Nurses of America (NAINA), reflecting her trusted expertise and commitment to advancing the profession through scholarly excellence and mentorship. These accolades highlight her ongoing dedication to impactful research, inclusive leadership, and community engagement within the field of nursing.

Publications Top Noted

Title: Cultural Competence Case Studies

Year: 2025

Title: An exploration of self-perception of weight status, weight-related variables, and preferences for weight management strategies among South Asians in the U

Year: 2025

Title: Obesity-Related Biases Among Health-Care Personnel in Radiological Examination Environment: Impact, Manifestations, and Solution

Year: 2024

Title: Expanding Educational Opportunities for Nurses: Faculty and Student Reflections of a HyFlex Pilot Program

Year: 2024

Title: Nurses Breaking Down Barriers to Sizeism

Year: 2024

Title: Racial Disparities in Diabetes Care and Outcomes for Patients with Blindness/Low Vision: A Descriptive Analysis of the TriNetX Research Network

Year: 2024

Title: Health Disparities Among the South Asians in the United States

Year: 2024

Title: Registered Nurses’ Cultural Competence and South Asian Culture Knowledge: A Quantitative Study

Year: 2023

Conclusion

Dr. Nisha Mathews is exceptionally qualified for the Research Hypothesis Excellence Award. Her consistent contributions to cultural competence, health equity, and education innovation in nursing underscore her dedication to formulating and testing socially impactful research hypotheses. With her growing scholarly output, national leadership, and commitment to underrepresented populations, she embodies the values this award seeks to recognize. Minor enhancements in hypothesis articulation and grant visibility would further elevate her candidacy—but her profile already meets a high standard of research excellence and societal relevance.

 

 

Rania Hamdani | Computer Science and Artificial Intelligence | Best Researcher Award

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Ms. Rania Hamdani | Computer Science and Artificial Intelligence | Best Researcher Award

AE3S | University of luxembourg | Luxembourg 

Rania Hamdani is a dynamic early-career research scientist specializing in software engineering, data management, and cloud architecture for Industry 5.0 applications. Currently based at the University of Luxembourg, she is engaged in advanced research on integrating heterogeneous data sources and optimizing decision-making in cloud-based systems. With a strong foundation in software development and operational research, Rania has already co-authored three research papers in Cloud-Edge AI and ontology-driven knowledge management. Her diverse technical skills span Python, Java, Docker, Kubernetes, and Azure DevOps, and she has gained international experience through roles in Luxembourg, Canada, France, and Tunisia. Passionate about both academic and applied innovation, she has contributed to multiple interdisciplinary projects in AI, human-computer interaction, and intelligent systems. Rania is also active in professional communities such as IEEE and youth science associations, reflecting her commitment to collaborative growth and scientific outreach.

Professional Profile 

Education Background

Rania Hamdani has a strong academic foundation rooted in engineering and scientific rigor. She earned her Engineering Degree in Software Engineering from the National Higher School of Engineers of Tunis (ENSIT) between 2021 and 2024, where she specialized in Advanced Design, Service-Oriented Architecture, Object-Oriented Programming, Database Management, and Operational Research. Prior to that, she completed a Preparatory Cycle for Engineering Studies at the Preparatory Institute for Engineering Studies of Tunis (2019–2021), focusing intensively on mathematics, physics, and core technology subjects—a rigorous program designed to prepare students for elite engineering schools. Rania also holds a Baccalaureate in Mathematics from Pioneer High School Bourguiba Tunis, where she graduated with distinction (Very Good) in 2019. This academic journey has laid a solid foundation for her multidisciplinary research and professional growth in software and data sciences.

Professional Experience 

Rania Hamdani has developed a rich and diverse professional portfolio across academia and industry, with hands-on experience in software engineering, research, and cloud-based technologies. She is currently a Research Scientist at the University of Luxembourg (since November 2024), where she focuses on optimizing decision-making processes in cloud environments through advanced data integration techniques. Prior to this, she served as a Research Intern at the same institution (May to October 2024), contributing to projects in Ontology-Driven Knowledge Management and Cloud-Edge AI, resulting in three published papers. Alongside her academic work, Rania worked as a Part-Time Software Engineer at CareerBoosts in Canada (2021–2025), where she honed her skills in DevOps, data analysis, test automation, and backend development using tools like Python, Docker, and Kubernetes. Her earlier internships include roles at Qodexia (France), Sagemcom (Tunisia), and Tunisie Telecom, where she worked on smart recruitment platforms, employee management systems, and server monitoring tools using full-stack technologies such as SpringBoot, Angular, and PostgreSQL. This blend of research and industry experience positions Rania as a versatile and forward-thinking technology professional.

Research Interests of Rania Hamdani

Rania Hamdani’s research interests lie at the intersection of software engineering, operational research, data integration, and cloud-edge intelligence, with a strong orientation toward Industry 5.0 applications. She is particularly passionate about developing intelligent systems that enhance decision-making in cloud-based and distributed environments, leveraging AI, machine learning, and ontology-driven knowledge frameworks. Her work focuses on enabling seamless management of heterogeneous data sources, scalable architectures, and adaptive human-computer interaction (HCI) systems. Rania is also deeply engaged in exploring Cloud-Edge AI ecosystems, recommender systems, and automation pipelines using modern tools like Docker, Kubernetes, TensorFlow, and Neo4j. Her multidisciplinary approach reflects a vision for integrating research-driven insights with real-world industrial challenges, making her contributions both academically valuable and practically impactful.

Awards and Honors of Rania Hamdani

While still in the early stages of her research career, Rania Hamdani has demonstrated exceptional academic and technical promise. She graduated with a “Very Good” distinction in her Baccalaureate in Mathematics from the prestigious Pioneer High School Bourguiba in Tunis, reflecting her consistent academic excellence. Rania has also earned multiple professional certifications from Microsoft, including Azure Fundamentals, Azure Data Fundamentals, Azure AI Fundamentals, and Azure Security, Compliance, and Identity Fundamentals, showcasing her dedication to staying at the forefront of cloud and AI technologies. Though formal research awards or honors are not yet listed, her early publications, research contributions, and international internships highlight a trajectory poised for future recognition in both academic and industry spheres.

Publications Top Noted

Title: Adaptive human‑computer interaction for Industry 5.0: A novel concept, with comprehensive review and empirical validation
Year: 2025

Conclusion

Rania Hamdani is highly suitable for the Best Emerging Researcher or Young Researcher Award category. She has excellent technical skills, promising early-stage research output, international exposure, and a forward-looking vision in areas like Industry 5.0, cloud-edge intelligence, and AI-based decision systems. While still building her publication track record and academic leadership, her current trajectory shows strong promise for future impactful contributions to scientific and industrial domains.

Shuokang Wang | Environmental Science | Best Researcher Award

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Dr. Shuokang Wang | Environmental Science | Best Researcher Award

Department of Mathematics and Physics at Hebei Petroleum University of Technology, China

Dr. Shuokang Wang is a Lecturer at Hebei Petroleum University of Technology, holding a Ph.D. in Mining Engineering. His research primarily focuses on water conservation mining and rock control, addressing the critical balance between coal extraction and ecological preservation in environmentally fragile regions of China such as Inner Mongolia, Shaanxi, and Shanxi. He has published 10 academic papers in reputed journals including Energies and the International Journal of Coal Science & Technology, and holds 8 authorized invention patents. His work has earned him a first and second prize from the Coal Industry Association, and he actively contributes to the scientific community as a reviewer for SCI-indexed journals and as a young editorial board member for Green Mining and Metallurgy. Dr. Wang has also contributed to major national research projects like the “973” Program and the National Natural Science Foundation of China, gaining interdisciplinary experience across geological, environmental, and engineering sciences. His innovations, such as methods for evaluating rock damage and permeability zoning post-mining, have significant implications for sustainable mining practices.

Professional Profile 

🎓 Education of Shuokang Wang

Dr. Shuokang Wang earned his Ph.D. in Mining Engineering, laying a solid academic foundation for his specialization in water conservation mining and rock control. His doctoral training equipped him with advanced knowledge in geomechanics, mining-induced stress evolution, and environmental sustainability in coal mining. This rigorous academic background has been instrumental in shaping his research contributions, enabling him to tackle complex challenges related to ecological protection in mining regions through both theoretical and applied innovations.

💼 Professional Experience of Shuokang Wang

Dr. Shuokang Wang currently serves as a Lecturer at Hebei Petroleum University of Technology, where he actively engages in teaching, research, and academic mentorship. His professional work is centered on water conservation mining and rock control, with a focus on improving ecological outcomes in coal mining operations. He has participated in major national projects such as the “973” Program and the National Natural Science Foundation of China’s general research initiative, collaborating across disciplines including geological engineering, environmental science, and materials development. In addition to his research roles, Dr. Wang contributes to the academic community as a peer reviewer for SCI-indexed journals like Scientific Reports and Science Progress, and as a young editorial board member of Green Mining and Metallurgy. His work bridges academic research and engineering practice, earning recognition and awards from national industry associations.

🔬 Research Interest of Shuokang Wang

Dr. Shuokang Wang’s research interests lie at the intersection of sustainable mining practices and environmental protection, with a strong emphasis on water conservation mining and rock control mechanisms. He is particularly focused on developing innovative methods to mitigate the ecological impact of coal mining in fragile regions such as Inner Mongolia, Shanxi, and Shaanxi. His work involves analyzing stress evolution, permeability changes, and damage characteristics of rock strata during and after mining activities. Dr. Wang also explores the application of acoustic emission testing, permeability zoning, and roof collapse prediction to improve mine safety and water resource management. His interdisciplinary approach integrates engineering mechanics, geological analysis, and environmental science to develop practical, science-backed solutions for the mining industry.

🏅 Awards and Honors of Shuokang Wang

Dr. Shuokang Wang has received notable recognition for his impactful research and contributions to the field of mining engineering. He was honored with a First Prize and a Second Prize by the Coal Industry Association, acknowledging his innovative work in water conservation mining and rock control. His scientific credibility and expertise have also earned him roles as a reviewer for high-impact SCI-indexed journals such as Scientific Reports and Science Progress, and as a young editorial board member of the academic journal Green Mining and Metallurgy. These accolades reflect both his technical excellence and his growing leadership within the academic and professional mining communities.

📚 Publications Top Noted

  1. Title: Study on Creep Characteristics of High-Volume Fly Ash-Cement Backfill Considering Initial Damage
    Authors: Shuokang Wang, Jingjing Yan, Zihui Dong, Hua Guo, Yuanzhong Yang, Naseer Muhammad Khan
    Year: 2025
    Citation: DOI: 10.3390/min15070759

  2. Title: Strategic Recovery of Titanium from Low-Grade Titanium-Bearing Blast Furnace Slag via Hydrothermal-Crystallization Coupling
    Authors: Zihui Dong, Ruichen Yang, Shuokang Wang, Changyong Chen, Mingming Zhao, Nannan Zhou, Peipei Zhang, Yingxin Wang
    Year: 2025
    Citation: DOI: 10.3390/min15050445

  3. Title: Characteristics and Control of Mining Induced Fractures above Longwall Mines Using Backfilling
    Authors: Shuokang Wang, Liqiang Ma
    Year: 2019
    Citation: DOI: 10.3390/en12234604

✅Conclusion

Dr. Shuokang Wang is highly suitable for the Best Researcher Award, especially in the domain of Mining Engineering with Environmental Sustainability Focus. His contributions are original, practical, and nationally recognized, with strong academic grounding and real-world impact

Genliang Xiong | Robotics and Automation | Best Researcher Award

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Prof. Genliang Xiong | Robotics and Automation | Best Researcher Award

Shanghai University of Engineering Science, China

Prof. Genliang Xiong is a distinguished robotics researcher and professor at the School of Mechanical and Automobile Engineering, Shanghai University of Engineering Science. With a Ph.D. in Mechanical and Electronic Engineering from the Harbin Institute of Technology, his career spans over two decades across academia and industry. His research expertise lies in human-robot interaction, intelligent control, medical robotics, force feedback systems, and machine vision. Prof. Xiong has led the design and control of advanced robotic systems, including a 6-DOF humanoid table tennis robot and a novel force feedback glove for teleoperation and virtual reality applications. He has an impressive portfolio of 70 Chinese patents, reflecting his strong orientation toward innovation and applied research. His work bridges theory and practice, with a focus on safety, adaptability, and precision in robotics. Through his contributions, Prof. Xiong continues to advance the field of robotics engineering with real-world impact in healthcare, automation, and human-machine collaboration.

Professional Profile 

🎓 Education Background 

Prof. Genliang Xiong holds a robust academic foundation in mechanical and electronic engineering. He earned his Ph.D. in Mechanical and Electronic Engineering in August 2010 from the State Key Laboratory of Robotics and System at Harbin Institute of Technology, with a dissertation focused on the control of lightweight robots with flexible joints. Prior to that, he completed his Master’s degree in December 2005 from the same institution, where his thesis explored the modeling and simulation of wafer automatic transport manipulators for IC testing technology. His academic journey began with a Bachelor’s degree in Mechanical and Electronic Engineering from Sichuan University in July 2001, where he developed a project on the synchronization control of a 30-ton pressing machine. This solid educational progression laid the groundwork for his advanced research in robotics, intelligent control, and human-machine interaction.

💼 Professional Experience of Prof. Genliang Xiong

Prof. Genliang Xiong has accumulated over 20 years of diverse professional experience in both academia and industry, showcasing leadership and innovation in robotics and intelligent systems. Since January 2021, he has been serving as a Professor at the School of Mechanical and Automobile Engineering, Shanghai University of Engineering Science, where his research focuses on medical robotics, physical human-robot interaction, and path planning. From 2010 to 2020, he worked at Nanchang University as a Lecturer and later Associate Professor, leading projects in robotics control and intelligent systems. Earlier in his career, between 2003 and 2010, he was a graduate researcher at the State Key Laboratory of Robotics and System, Harbin Institute of Technology, where he pioneered work on flexible joint manipulators, sensor-integrated robots, and real-time force feedback systems. Additionally, from 2001 to 2003, he gained valuable industry experience as a Senior Engineer at Lite-On Electronics Co., Ltd., focusing on the design and analysis of switching power supplies. This comprehensive blend of academic and industrial roles highlights his expertise in designing, controlling, and implementing advanced robotic systems.

🔬 Research Interests of Prof. Genliang Xiong

Prof. Genliang Xiong’s research interests are deeply rooted in the fields of robotics and intelligent systems, with a strong emphasis on human-robot interaction, robot design and control, and intelligent feedback mechanisms. He is particularly focused on developing medical and assistive robots, exploring safe and adaptive control strategies that enable robots to operate effectively in dynamic and unstructured environments. His expertise extends to biomechanics, computer vision, and machine vision, which he integrates into robotic systems for enhanced perception and decision-making. Additionally, he works on force feedback technologies, including the design of advanced exoskeleton gloves, and contributes to physical human-robot collaboration, allowing for more intuitive and responsive robotic behaviors. His interdisciplinary approach bridges engineering, control theory, and artificial intelligence, positioning him at the forefront of innovation in intelligent robotic systems.

🏅 Awards and Honors of Prof. Genliang Xiong

Prof. Genliang Xiong has been widely recognized for his innovative contributions to robotics and intelligent systems. He holds an impressive portfolio of 70 authorized Chinese patents, reflecting his strong commitment to technological innovation and applied research. These patents span critical areas such as human-robot interaction, force feedback systems, and intelligent control devices, showcasing his role as a leading inventor in the field. While specific international awards or academic honors are not detailed, his appointment as a Professor at Shanghai University of Engineering Science and his sustained leadership in advanced robotics projects highlight his professional distinction. His consistent academic and research excellence continues to earn him recognition within China’s engineering and robotics research community.

📚 Publications Top Noted

  1. Research on Adaptive Fuzzy Impedance Control of Human‑Massage Robot Interaction Based on Kelvin‑Voigt Modeling
    • Authors: Xiaoqing Zhang; Jixian Zhang; Genliang Xiong; Yanfeng Gao; Yan Feng
    • Journal: IEEE Access
    • Year: 2024
    • Citation: DOI 10.1109/ACCESS.2024.3419177

  2. Numerical Simulation on Porosity Formation and Suppression in Oscillation Laser Welding of Ti‑6Al‑4V Alloy
    • Authors: Donglin Tao; Yanfeng Gao; Hao Pan; Yilin Zhou; Jinhua Xiao; Genliang Xiong; Hua Zhang
    • Journal: Journal of Laser Applications
    • Year: 2024 (Nov 1)
    • Citation: DOI 10.2351/7.0001517

  3. Aluminum Alloy Oxidation Prediction During Laser Welding Process Based on Random Forest Regression Analysis of Spectral Signals
    • Authors: Lixue Zeng; Yanfeng Gao; Genliang Xiong; Hua Zhang; Hao Pan; Zhiwu Long; Donglin Tao
    • Journal: Journal of Laser Applications
    • Year: 2023 (Nov 1)
    • Citation: DOI 10.2351/7.0001167

  4. Sensor‑Based Skeleton Modeling and MVEEs Approach of the Redundant Manipulator for Reaction Motion
    • Authors: Lan Ye; Genliang Xiong; Hua Zhang; Cheng Zeng
    • Journal: Advances in Mechanical Engineering
    • Year: 2022 (Jan)
    • Citation: DOI 10.1177/16878140221074287

  5. Cascaded Control of Flexible‑Joint Robots Based on Sliding‑Mode Estimator Approach
    • Authors: Genliang Xiong; Jingxin Shi; Haichu Chen; Arturo Buscarino
    • Journal: Journal of Robotics
    • Year: 2020 (Oct 26)
    • Citation: DOI 10.1155/2020/8861847

  6. Trajectory Tracking Control of 7‑DOF Redundant Robot Based on Estimation of Intention in Physical Human‑Robot Interaction
    • Authors: Lan Ye; Genliang Xiong; Cheng Zeng; Hua Zhang
    • Journal: Science Progress
    • Year: 2020 (Jul)
    • Citation: DOI 10.1177/0036850420953642

  7. Null‑Space Impedance Control of 7‑Degree‑of‑Freedom Redundant Manipulators Based on the Arm Angles
    • Authors: Genliang Xiong; Yang Zhou; Jiankang Yao
    • Journal: International Journal of Advanced Robotic Systems
    • Year: 2020 (May 1)
    • Citation: DOI 10.1177/1729881420925297

  8. Joint Torque Control of Flexible Joint Robots Based on Sliding Mode Technique
    • Authors: Gen‑Liang Xiong; Hai‑Chu Chen; Jing‑Xin Shi; Fa‑Yun Liang
    • Journal: International Journal of Advanced Robotic Systems
    • Year: 2019 (May 1)
    • Citation: DOI 10.1177/1729881419846712

🏁Conclusion

Prof. Genliang XIONG is a highly suitable candidate for the Best Researcher Award in Engineering, Robotics, or Applied Sciences categories—especially in innovation-driven or patent-focused awards. His rich contribution to human-robot interaction, force control systems, and robotics applications exemplifies advanced research with real-world relevance.

 

Bilal Blissag | Environmental Science | Excellence in Research Award

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Dr. Bilal Blissag | Environmental Science | Excellence in Research Award

Researcher at CTS /ASAL , Algeria

Bilal Blissag is a dedicated Algerian researcher and engineer specializing in the application of remote sensing and GIS in hydrology and hydraulic modeling. With an academic background that includes a Magister degree in hydraulic development from USTO MB and ongoing doctoral studies, he has consistently contributed to both academic and applied research in environmental and water resource engineering. He serves as a Principal Engineer at CTS-ASAL and lectures in hydrology and water infrastructure at various institutions. His research focuses on soil erosion, watershed management, flood risk modeling, and land use/land cover dynamics, leading to numerous national and international conference presentations and publications in reputable journals such as Modeling Earth Systems and Environment and Physics and Chemistry of the Earth. Blissag has played a key role in several national-level hydrological projects and collaborates actively with peers in multi-institutional research efforts. His work bridges scientific innovation and practical impact, positioning him as a strong contributor to sustainable environmental management in semi-arid regions.

Professional Profile 

🎓 Education 

Bilal Blissag has pursued a focused academic path in the field of hydraulic and environmental engineering. He began his studies in 2005 in Public Works and Construction, followed by earning a Diplôme d’Études Appliquées (DEA) in Urban Hydraulics from the University of M’sila in 2008. In 2011, he advanced to become a State Engineer in Urban Hydraulics, further solidifying his technical expertise. His academic journey culminated in 2015 with a Magister degree in Hydraulic Development from USTO MB University. Currently, he is pursuing a PhD in the same domain, focusing on the integration of remote sensing and GIS technologies in hydrological modeling. His educational background forms a strong foundation for his applied research and engineering contributions in water resource management.

💼 Professional Experience 

Bilal Blissag brings over a decade of professional experience in hydraulic engineering and applied environmental research. Since April 2018, he has been serving as a Principal Engineer at CTS-ASAL, where he specializes in the use of remote sensing and GIS for hydrological and hydraulic modeling. His work involves critical national projects such as flood risk assessment, watershed erosion evaluation, and the delimitation of hydraulic public domains. In addition to his engineering role, he has also contributed to higher education as a lecturer, teaching modules like Hydrology, Hydraulic Infrastructure, and Urban Development at institutions including CTS and ENSGTS from 2018 to 2024. Through this dual role in industry and academia, Blissag has successfully merged research innovation with practical environmental problem-solving on a national scale.

🔬 Research Interests 

Bilal Blissag’s research interests lie at the intersection of environmental engineering, hydrology, and geospatial technologies. He focuses on the application of remote sensing and Geographic Information Systems (GIS) in the modeling of watershed dynamics, with particular emphasis on soil erosion, surface runoff estimation, land use/land cover (LULC) changes, and hydraulic risk assessment. His work often integrates empirical models like RUSLE and SCS-CN with machine learning approaches such as ANN-MLP to enhance the accuracy of environmental predictions in semi-arid and arid regions. He is also deeply involved in developing spatiotemporal analysis frameworks to assess the impact of climate and land use changes on water resources. Blissag’s research contributes valuable insights for sustainable watershed management and disaster mitigation in North African terrains.

🏆 Awards and Honors 

While Bilal Blissag has not listed specific individual awards or formal honors in his curriculum vitae, his repeated selection to present at prestigious international conferences—such as IUGG (Berlin), M2GARSS (Tunis), and ICEOGI (Algiers)—reflects strong peer recognition and academic credibility. His work has been published in internationally indexed journals, and he has been entrusted with key roles in national hydrological projects, highlighting the institutional trust placed in his expertise. His growing reputation in the field of hydrological modeling and remote sensing positions him as a strong candidate for future academic and professional distinctions in environmental research and engineering.

📄 Publications Top Noted

Title: Urban expansion and its environmental impacts in northwestern Algeria using cellular automata‑Markov‑chain modeling
Authors: Akila Cherigui, Amel Talia, Iméne Benstaali, Bilal Blissag, Bilel Zerouali, Mohamed Meddi
Journal: Modeling Earth Systems and Environment
Year: 2025 (Vol. 11, No. 3, Article 159) ouci.dntb.gov.ua+15colab.ws+15arxiv.org+15

Citation Count: 1

✅Conclusion

His career demonstrates a strong blend of academic, applied, and collaborative research, with practical outcomes for water resource management and environmental modeling. While further growth in terms of citation metrics and global leadership is still ongoing, his profile clearly meets the standards of a mid-career researcher showing excellence and sustained contributions.

 

 

Aysegul Kilicli | Medical Hypotheses | Best Researcher Award

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Assist. Prof. Dr. Aysegul Kilicli | Medical Hypotheses | Best Researcher Award

Assist. Prof. Dr. Aysegul Kilicli Medical Hypotheses | Health sciences faculty at mus alparslan university, Turkey

Dr. Ayşegül Kılıçlı is an Assistant Professor of Nursing at Muş Alparslan University, specializing in women’s health and reproductive care. With a Ph.D. from Gaziantep University, her research focuses on postpartum well-being, maternal mental health, reflexology, breastfeeding, and the use of psychological techniques such as neurolinguistic programming to improve maternal outcomes. She has published numerous high-impact articles in internationally indexed journals (SCI-Expanded, Q2/Q3), contributed to several national projects supported by TÜBİTAK, and presented at more than a dozen international conferences. Her work demonstrates a strong commitment to community-centered research, especially among vulnerable populations such as rural women and seasonal workers. In addition to her research, Dr. Kılıçlı is actively involved in academic teaching, university committees, and continuous professional development through diverse certifications. Her interdisciplinary approach, grounded in both clinical and psychological perspectives, positions her as a promising scholar making significant contributions to women’s health and nursing science.

Professional Profile 

🎓 Education Background of Dr. Aysegul Kilicli

Dr. Ayşegül Kılıçlı has built a strong academic foundation in the field of nursing, beginning with her Bachelor’s degree in Nursing from Harran University in 2011. She continued her specialization with a Master’s degree, also from Harran University, in 2016, where she focused her thesis on urinary incontinence among seasonal agricultural worker women. Her academic journey culminated with a Ph.D. in Nursing from Gaziantep University in 2021, where her doctoral research explored the effects of reflexology on postpartum recovery, including pain, fatigue, sleep quality, and lactation. Each stage of her education reflects a deepening commitment to improving women’s health and advancing evidence-based nursing practices.

💼 Professional Experience of Dr. Aysegul Kilicli

Dr. Ayşegül Kılıçlı brings over a decade of experience in healthcare and academia, beginning her career as a nurse at Şanlıurfa Mehmet Akif İnan Training and Research Hospital, where she served from 2011 to 2021, gaining hands-on clinical expertise in patient care and women’s health. In 2021, she transitioned into academia as an Assistant Professor at Muş Alparslan University, Faculty of Health Sciences, in the Department of Women’s Health and Diseases Nursing. Since then, she has been actively engaged in undergraduate nursing education, research, and institutional service. Her dual background in clinical nursing and academic leadership allows her to bridge theory and practice, enriching the learning experiences of her students while contributing meaningfully to community-based health research and scientific development.

🔬 Research Interests of Dr. Aysegul Kilicli

Dr. Ayşegül Kılıçlı’s research interests lie at the intersection of women’s health, maternal care, mental well-being, and complementary health practices. She focuses extensively on improving health outcomes in the postpartum period, exploring innovative non-pharmacological interventions such as reflexology, neurolinguistic programming (NLP), mindfulness, and progressive muscle relaxation to alleviate pain, fatigue, anxiety, and enhance breastfeeding success. Her work also addresses public health issues in underserved communities, including rural maternal care, urinary incontinence among agricultural workers, and emotional health during pandemics. Driven by a commitment to holistic and evidence-based nursing, Dr. Kılıçlı aims to empower women through preventive healthcare models and psychosocial support strategies that improve both physical and emotional aspects of well-being.

🏅 Awards and Honors of Dr. Aysegul Kilicli

As of now, Dr. Ayşegül Kılıçlı has not listed any formal awards or honors in her academic curriculum vitae. However, her significant contributions to high-impact research publications, leadership in TÜBİTAK-supported scientific training programs, and active participation in national and international congresses highlight her growing recognition within the academic and healthcare communities. Her steady progress and dedication to women’s health, nursing education, and interdisciplinary research position her as a strong candidate for future academic honors and prestigious research awards.

✅ Conclusion

Assist. Prof. Dr. Ayşegül Kılıçlı is a highly promising and impactful researcher, particularly in the nursing and women’s health sciences field. Her consistent publication record, applied and community-focused research, and multidisciplinary training make her a strong candidate for recognition—especially under categories such as Early-Career Researcher, Women in Science, or Applied Health Research.

📝Publications Top Noted

1.Title: Women’s reproductive behaviour and perspectives on fertility, and their modifying factors, in a Turkish province with a high fertility rate

    Authors: K. Eroğlu, F. Koruk, İ. Koruk, K. Çelik, P. Güner, A. Kiliçli

    Year: 2021

    Citations: 27

2.Title: Stigmatizing attitudes, beliefs, and actions of women towards abortion in rural regions with high fertility

   Authors: Ş. Akbulut, A. Kılıçlı

   Year: 2022

   Citations: 8

3.Title: Stress, anxiety, and Postpartum Depression in parents with premature infants in neonatal intensive care unit

   Authors: A. Kılıçlı, G. Saraçoğlu, A.Ç. Büyükbodur

   Year: 2023

   Citations: 5

4.Title: Şanlıurfa’da kadın sağlık çalışanlarının doğurganlık özellikleri ve doğurganlığa bakış açıları

   Authors: F. Koruk, İ. Koruk, Ö. Güner, S. Ayhan, A. Kılıçlı, S. Aytekin, D.U. Altun

   Year: 2017

   Citations: 5

5.Title: Şanlıurfa’da Mevsimlik Tarım İşçisi Kadınlarda Üriner İnkontinans Prevelansı, Tedavi Alma Durumları Ve Etkileyen Faktörler, Hemşirelik Anabilim Dalı

   Authors: A. Kılıçlı

   Year: 2016

   Citations: 5