Prof. Dr. Chiachung Chen | Engineering | Best Researcher Award

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Prof. Dr. Chiachung Chen | Engineering | Best Researcher Award

Prof. Dr. Chiachung Chen | Engineering | Best Researcher Award

Dr. Chiachung Chen (陳加忠) is a Distinguished Professor in the Department of Bio-industrial Mechatronics Engineering at National Chung Hsing University in Taichung, Taiwan. With an impressive career devoted to agricultural engineering, Dr. Chen has contributed significantly to bio-industrial system integration and sustainable production processes. His expertise spans the optimization of production systems for various living organisms, from microorganisms and plants to animals and ecosystems, with applications extending even to advanced areas like space agriculture. Dr. Chen’s academic achievements have earned him global recognition, including multiple listings in Stanford University’s World’s Top 2% Scientists and numerous impactful publications. He has also actively contributed as a reviewer, earning the MDPI Top Reviewer Award and the Sensors Outstanding Reviewer Award. Dr. Chen’s dedication to promoting industrial research and global dialogue is evident through his administrative roles and prestigious invitations to international conferences.

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Summary of Suitability for the Research for Best Researcher Award

Dr. Chiachung Chen is an exemplary candidate for the “Research for Best Researcher Award” due to his outstanding achievements and impactful contributions in the field of Bio-industrial Mechatronics Engineering. As a distinguished professor at National Chung Hsing University, Dr. Chen’s academic credentials are robust, featuring a Ph.D. in Agricultural Engineering from the University of Minnesota and comprehensive degrees in Agricultural Engineering from National Taiwan University. His work stands out for its innovative approach, integrating and optimizing bio-industry production systems, with applications that range from advanced greenhouse technologies to space agriculture.

🎓 Education

Dr. Chiachung Chen holds a Ph.D. in Agricultural Engineering from the University of Minnesota, USA, where he developed a strong foundation in engineering principles and research methodologies essential for bio-industrial innovations. Prior to his doctoral studies, he completed his Master’s degree in Agricultural Engineering at National Taiwan University (NTU), Taiwan, where he focused on optimizing agricultural machinery and environmental engineering solutions. His undergraduate studies were also at NTU, where he obtained a Bachelor’s degree in Agricultural Engineering. Dr. Chen’s academic journey highlights his commitment to deepening knowledge in agricultural and bio-industrial systems, equipping him with expertise in designing and implementing technology-driven solutions for sustainable agricultural development. His education has positioned him as a thought leader in bio-industrial mechatronics engineering, fostering advancements in agricultural practices and contributing to the field’s evolution on a global scale.

💼  Professional Experience

Dr. Chiachung Chen has held key academic and leadership roles throughout his career. He served as the Head of the Department of Bio-industrial Mechatronics Engineering at National Chung Hsing University (2011-2014), where he championed academic excellence and research initiatives. He also led the Taiwan Commercial Orchid School (2007-2013), focusing on industry-academic collaboration to advance Taiwan’s orchid industry. As Director of the Africa Industrial Research Center (2019-2023), he facilitated international research projects and capacity-building programs. Dr. Chen’s professional experience includes extensive work on integrating bio-industrial systems and promoting global research collaboration. His research and leadership have resulted in impactful advancements in bio-industrial technology and sustainable agricultural practices, with a focus on enhancing production efficiency and ecological balance.

🏅  Awards and Recognitions

  1. World’s Top 2% Scientists (2020-2023): Recognized by Stanford University and Elsevier for significant contributions to science, Dr. Chen has appeared in lifetime and annual impact rankings from 1960 to 2023.
  2. 2020 MDPI Top Reviewer Award: Honored as one of 30 top reviewers from 369,916 scholars for contributions to MDPI journals.
  3. Top Cited Paper (2020): Co-authored a highly cited paper in the Sensors journal, titled “Investigation of the Impact of Infrared Sensors on Core Body Temperature Monitoring.”
  4. Sensors 2022 Outstanding Reviewer Award: Selected as one of five winners out of 25,000 reviewers, highlighting his influence in the field of sensor research.
  5. Kigali Global Dialogue (2023): Invited by the Observer Research Foundation to participate in a major global dialogue on sustainability in Kigali, Rwanda.

🌍 Research Skills

Dr. Chiachung Chen’s research skills are centered on the integration of bio-industrial systems, sustainable agricultural engineering, and the application of mechatronics in biological processes. He specializes in optimizing greenhouse technology and developing advanced sensors for agricultural monitoring. His work encompasses large-scale production systems, including microorganism cultivation, precision agriculture, and even space agriculture solutions. Dr. Chen is adept at interdisciplinary research, merging engineering principles with biological sciences to improve efficiency and sustainability. His innovative approach has resulted in numerous patents and scholarly publications, positioning him as a leader in using mechatronic solutions to address global agricultural challenges. His skills also include statistical analysis, system modeling, and experimental design, ensuring robust and replicable research outcomes.

📖 Publiaction Top Notes

  • Comparison of Classical and Inverse Calibration Equations in Chemical Analysis
  • The Effect of Temperature on the Inflorescence Formation Model for Phalaenopsis
  • Study on the Shape Characteristics and the Allometry of Phalaenopsis Leaves for Greenhouse Management
  • An Empirical Equation for Wet-Bulb Temperature Using Air Temperature and Relative Humidity
  • From Laboratory to Field: The Effect of Controlling Oscillations in Temperature on the Growth of Crops

Dr. SRINIVASA NAVEEN KUMAR G | Data Science | Best Researcher Award

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Dr. SRINIVASA NAVEEN KUMAR G | Data Science | Best Researcher Award

Dr. SRINIVASA NAVEEN KUMAR G | Data Science | Best Researcher Award

Dr. Srinivasa Naveen Kumar G is an Associate Professor and Dean of Data Science at Malla Reddy University, Hyderabad. He has over 16 years of teaching experience and a Ph.D. from Lincoln University College, Malaysia, specializing in Image and Video Processing. An accomplished academic leader, Dr. Kumar has organized numerous workshops, hackathons, and international conferences, contributing significantly to the fields of Data Science, Machine Learning, and Computer Vision. As an active member of professional bodies like IEEE and CSI, he is committed to academic excellence and innovation. His passion for research is evident in his numerous Scopus-indexed publications and workshops designed to bridge the gap between theoretical and practical knowledge.

Professional Profile

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Summary of Suitability for the Award

Dr. Srinivasa Naveen Kumar G is a distinguished academic professional with a robust background in teaching and research, making him a strong candidate for the “Research for Best Researcher Award.” With over 16 years of teaching experience and a noteworthy academic journey, culminating in a Ph.D. from Lincoln University College, Malaysia, his expertise in Image and Video Processing, Data Science, Machine Learning, and Computer Vision stands out. Serving as an Associate Professor and Dean of the Data Science Department at Malla Reddy University, Hyderabad, Dr. Kumar has demonstrated a strong commitment to education and research.

🎓 Education

Dr. Kumar completed his Ph.D. in 2020 from Lincoln University College, Malaysia, where he focused on Image and Video Processing. He earned his M.Tech in Digital Electronics and Communication Systems from JNTU, Hyderabad, in 2008, and his B.Tech in Electronics & Communication Engineering from JNTUK, Kakinada, in 2006. His academic journey is marked by a dedication to understanding complex systems, with a strong emphasis on digital communication and electronics. Throughout his studies, he demonstrated exceptional skills in applying theoretical knowledge to real-world challenges, laying a strong foundation for his research and teaching career. His academic background has equipped him with expertise in Data Science, Machine Learning, and related fields.

💼   Professional Experience

With over 16 years of teaching experience, Dr. Kumar currently serves as Associate Professor and Dean of Data Science at Malla Reddy University, Hyderabad, a role he has held since July 2021. Before that, he worked as an Associate Professor at Malla Reddy College of Engineering & Technology, Secunderabad, from 2008 to 2021. His extensive experience includes teaching both undergraduate and postgraduate courses, such as Python Programming, Image & Video Processing, and Data Analytics. He has a keen interest in research areas like Image and Video Processing, Machine Learning, and Computer Vision. Dr. Kumar is a leader in organizing academic events, workshops, and conferences, fostering a culture of continuous learning and innovation among students and faculty.

🏅  Awards and Recognition

Dr. Kumar has been recognized for his academic leadership and contributions to Data Science and Engineering. His accolades include organizing high-profile international conferences like the Scopus-indexed Springer ICISSC series and leading national-level student technical fests such as “Technosplurge.” He is a sought-after organizer, having successfully coordinated events like Salesforce Development workshops and 24-hour hackathons. His work in bridging academic research with industry practices has gained widespread acclaim. Dr. Kumar is also an esteemed member of IEEE and CSI, reflecting his commitment to professional excellence and continuous learning. His contributions have elevated his institution’s profile in the global academic community.

🌍   Research Skills

Dr. Kumar is proficient in Data Science, Machine Learning, Computer Vision, and Image & Video Processing. He has developed expertise in Python, Java, and various data analytics tools, applying his skills to solve complex problems in digital communication and systems design. His research focuses on innovative solutions for real-time data analysis and intelligent system development. As an organizer of Scopus-indexed conferences, he stays updated with cutting-edge research trends, ensuring his work is relevant and impactful. His skills extend to coding theory, digital system design, and programming, making him a versatile researcher and educator dedicated to advancing the field of Data Science.

📖 Publication Top Notes

  • Title: Video shot boundary detection and key frame extraction for video retrieval
    Cited by: 18
  • Title: Detection of Shot Boundaries and Extraction of Key Frames for Video Retrieval
    Cited by: 17*
  • Title: Key frame extraction using rough set theory for video retrieval
    Cited by: 16
  • Title: High-performance video retrieval based on spatio-temporal features
    Cited by: 15
  • Title: Yoga pose recognition with real-time correction using deep learning
    Cited by: 10

 

Dr. Nurose Karim | Neuroscience | Research Excellence Award

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Dr. Nurose Karim | Neuroscience | Research Excellence Award

Dr. Nurose Karim, ECU Health Medical Center, United States

Dr. Nurose Karim is a dedicated neurologist based in Greenville, North Carolina, affiliated with Vidant Medical Center. With a medical degree from Dow University of Health Sciences and a decade of clinical practice, she specializes in vascular neurology, focusing on complex conditions such as cerebral aneurysms, strokes, and intracranial hemorrhages. Dr. Karim is passionate about raising awareness of stroke prevention and treatment, particularly in eastern North Carolina, an area known for its high stroke rates. As a social media ambassador for various national and international stroke conferences, she promotes knowledge and education within the field. Her advocacy extends to empowering women in neurology, aiming to inspire future generations of female medical professionals. Through her clinical expertise and community outreach, Dr. Karim plays a vital role in improving neurological health in her community.

Professional Profile

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Summary of Suitability for the Research for Research Excellence Award

Dr. Nurose Karim exemplifies the qualities of a strong candidate for the Research for Research Excellence Award due to her extensive expertise and impactful contributions in the field of neurology, specifically vascular neurology. With a medical degree from Dow University of Health Sciences and over ten years of clinical experience, Dr. Karim has established herself as a leader in treating complex neurological conditions, including cerebral aneurysms, strokes, and other vascular disorders. Her dedication to patient care in a region with one of the highest stroke rates in the United States highlights her commitment to addressing critical health challenges faced by the community.

 🎓  Education

Dr. Nurose Karim earned her medical degree from Dow University of Health Sciences, where she received comprehensive training in the medical field. Following her graduation, she completed her residency in neurology, gaining invaluable hands-on experience in diagnosing and treating various neurological disorders. During her residency, Dr. Karim developed a strong interest in vascular neurology, which led her to further specialize in this area. She has actively participated in continuing medical education and has attended numerous workshops and conferences to stay current with the latest advancements in neurology. This commitment to lifelong learning has enriched her clinical practice and research capabilities. Dr. Karim also engages in teaching and mentoring medical students and residents, sharing her knowledge and experiences in the field. Her educational background provides a solid foundation for her clinical expertise, enabling her to deliver high-quality patient care and contribute meaningfully to the advancement of neurology.

💼  Professional Experience

Dr. Nurose Karim has accumulated a wealth of professional experience over her ten-year career as a neurologist. At Vidant Medical Center in Greenville, North Carolina, she specializes in vascular neurology, treating a variety of complex conditions such as cerebral aneurysms, strokes, and carotid artery disease. Dr. Karim is known for her exceptional clinical skills and her ability to provide compassionate care to patients, particularly in high-risk populations. In addition to her clinical work, she actively participates in community outreach initiatives to raise awareness about stroke prevention and early recognition of symptoms. Dr. Karim is also involved in national and international stroke conferences, serving as a social media ambassador to promote education and engagement within the field. Her dedication to advancing the understanding of vascular neurology, along with her commitment to improving patient outcomes, underscores her significant contributions to the field and her ongoing influence on both patients and colleagues.

🏅Awards and Recognition 

Throughout her career, Dr. Nurose Karim has been recognized for her outstanding contributions to the field of neurology, particularly in vascular neurology and stroke prevention. She has received accolades for her role as a community advocate, raising awareness about the importance of recognizing stroke symptoms and promoting preventative measures, especially in high-risk populations in eastern North Carolina. Her engagement as a social media ambassador for numerous national and international conferences showcases her leadership in promoting education and collaboration in the field. Additionally, Dr. Karim has been acknowledged by her peers for her commitment to mentoring young women in medicine, further contributing to diversity and inclusion within the neurology specialty. These honors reflect her dedication to both her patients and the medical community, highlighting her impact on improving neurological health and her role as a pioneering advocate for women in neurology.

🌍  Research Skills 

Dr. Nurose Karim possesses a strong skill set in research, particularly within the domain of vascular neurology. Her clinical practice is underpinned by a commitment to evidence-based medicine, and she actively engages in research initiatives aimed at improving patient outcomes related to stroke and other vascular conditions. Dr. Karim is skilled in designing and conducting clinical studies, analyzing data, and translating findings into clinical practice to enhance patient care. Her participation in national and international conferences not only allows her to share her research findings but also to collaborate with other experts in the field. Dr. Karim is adept at utilizing social media to disseminate research knowledge and engage with the broader medical community. Her advocacy for women in neurology further enriches her research perspective, as she strives to address gaps in knowledge and care specific to female patients. Through her research efforts, Dr. Karim contributes to the advancement of understanding in vascular neurology.

 📖 Publication Top Notes

  • Title: Neurological predictors of clinical outcomes in hospitalized patients with COVID-19
    Cited By: 49
  • Title: Neurocritical care of the pregnant patient
    Cited By: 14
  • Title: Does the setting of external ventricular drain placement affect morbidity? A systematic literature review comparing intensive care unit versus operating room procedures
    Cited By: 10
  • Title: Role of rotavirus vaccine in reducing diarrheal episodes in infants visiting private primary health care clinics in Karachi, Pakistan: A mixed-methods study
    Cited By: 4
  • Title: Teaching neuroimage: Central pontine myelinolysis in diabetic ketoacidosis
    Cited By: 4

Dr. Jagannadha Rao D B | Graph Mining | Best Researcher Award

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Dr. Jagannadha Rao D B | Graph Mining | Best Researcher Award

Dr. Jagannadha Rao D B, Malla Reddy University, India

Dr. D. B. Jagannadha Rao is a dedicated academician and researcher in Computer Science and Engineering with over 15 years of experience. Currently serving as an Associate Professor and Research Coordinator at Malla Reddy University, Hyderabad, he is deeply involved in fostering research and academic excellence. Dr. Rao’s Ph.D. in Graph Mining focused on developing innovative methods for frequent subgraph mining from distributed databases using MapReduce, contributing significantly to advancements in big data analysis. His career reflects a balance of academic leadership, research supervision, and curriculum development, as he has organized international conferences and shaped postgraduate programs. A recognized Ph.D. mentor, he has actively participated in building a vibrant research community. His professional memberships and administrative roles underline his commitment to advancing computational research and education.

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Summary of Suitability for the Award

Dr. D. B. Jagannadha Rao stands out as a highly qualified and accomplished academic in the field of Computer Science and Engineering. With a strong academic foundation, including a Ph.D. in Graph Mining from Shri Jagdishprasad Jhabarmal Tibrewala University, Dr. Rao has demonstrated substantial expertise in frequent subgraph mining and large-scale data analysis using advanced computational techniques like MapReduce. His research contributes to the understanding and application of distributed database systems, a critical area in data science and big data analytics.

🎓 Education 

Dr. D. B. Jagannadha Rao holds a Ph.D. in Computer Science and Engineering from Shri Jagdishprasad Jhabarmal Tibrewala University, Rajasthan, specializing in Graph Mining. His doctoral research, completed in 2021, addressed frequent subgraph mining from horizontally partitioned distributed databases using MapReduce, demonstrating advanced skills in handling large-scale data. He earned an M.Tech in Computer Science from JNTU Hyderabad in 2008, graduating with distinction, and a Master of Computer Applications from Osmania University in 2002. His foundational studies in science culminated in a B.Sc. in Mathematics, Physics, and Chemistry from Andhra University in 1998. This educational journey reflects a strong emphasis on both theoretical and applied computer science, preparing him for impactful research in data science and big data analysis.

💼   Professional Experience

Dr. D. B. Jagannadha Rao’s professional experience spans over 15 years, showcasing a comprehensive background in teaching and research. He is currently an Associate Professor and Research Coordinator at Malla Reddy University, Hyderabad, where he has played a pivotal role in shaping the M.Tech curriculum and overseeing Ph.D. research programs. Previously, he was an Assistant Professor at Wolkite University, Ethiopia, and served as Associate Professor at Sreenidhi Institute of Science and Technology, Hyderabad, where he managed key academic and administrative responsibilities. He began his career as a lecturer at St. Xavier’s P.G. College and Sravanthi P.G. College in Hyderabad. His roles have involved curriculum design, conference coordination, and departmental leadership, demonstrating his capability to contribute significantly to academic and research excellence.

🏅  Awards and Recognition

Dr. D. B. Jagannadha Rao has been recognized for his academic and research contributions. As the Ph.D. Coordinator and R&D Coordinator at Malla Reddy University, he has made impactful contributions to the university’s research ecosystem. He has successfully coordinated prestigious international conferences, such as the 2nd and 3rd International Conferences on Intelligent Systems & Sustainable Computing, organized in collaboration with Springer. Additionally, he has been acknowledged as a research supervisor at Visvesvaraya Technological University and Malla Reddy University, mentoring numerous doctoral students. His active membership in esteemed organizations, including the Computer Society of India (Life Member) and the Computer Science Teachers Association, highlights his professional stature. His academic and research excellence has consistently brought him recognition as a key contributor to the development of computer science curricula and conference organization.

🌍  Research Skills

Dr. D. B. Jagannadha Rao is proficient in advanced research skills, particularly in the field of Graph Mining. His expertise in frequent subgraph mining and the use of MapReduce for distributed data processing showcases his ability to tackle complex big data challenges. He is skilled in data analysis, algorithm development, and distributed computing, which are critical for handling large-scale databases. His research involves applying these computational methods to optimize data retrieval and mining processes. Additionally, Dr. Rao is adept at research supervision, guiding Ph.D. students through comprehensive data science projects. His experience in academic program development, conference coordination, and curriculum design has further refined his research management capabilities, making him a valuable contributor to academic research in computer science.

📖 Publication Top Notes

  • Title: A Study on Dynamic Source Routing Protocol for Wireless Ad Hoc Networks
    Cited by: 43
  • Title: Lung Cancer Detection and Severity Level Classification Using Sine Cosine Sail Fish Optimization-Based Generative Adversarial Network with CT Images
    Cited by: 12
  • Title: Exponentially‐Spider Monkey Optimization Based Allocation of Resource in Cloud
    Cited by: 12
  • Title: Exponential Squirrel Search Algorithm-Based Deep Classifier for Intrusion Detection in Cloud Computing with Big Data Assisted Spark Framework
    Cited by: 3*
  • Title: Distributed Frequent Subgraph Mining Using Gaston and MapReduce
    Cited by: 3

Mr. Meysam Salehi | Psychology | Young Scientist Award

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Mr. Meysam Salehi | Psychology | Young Scientist Award

Mr. Meysam Salehi, Iran University of Medical Sciences, Iran

Meysam Salehi is a passionate and innovative researcher in the field of mental health and behavioral sciences. As a Graduated Research Assistant at the School of Mental Health and Behavioral Sciences, Iran University of Medical Sciences, Meysam has dedicated his academic career to exploring digital mental health, gamification, and violence prevention. He graduated with a Master of Science in Mental Health, specializing in domestic violence risk prediction through machine learning analysis of Persian social media content. Throughout his academic journey, Meysam has demonstrated exceptional leadership as a member of the Student Research Committee and the Student Scientific Association of Mental Health. His commitment to advancing mental health awareness extends beyond academia, co-founding Engarke, a Persian psychological website and podcast aimed at enhancing mental health literacy in Iran. Meysam’s work is marked by his dedication to leveraging technology and research to address pressing societal challenges and improve well-being within his community.

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Suitability for the Research for Young Scientist Award

Meysam Salehi is a promising and highly accomplished young researcher in the field of psychology and mental health, particularly focusing on digital mental health interventions, violence prevention, and cognitive psychology. His academic achievements demonstrate exceptional dedication, highlighted by his top-ranking graduation in the Master of Science program at Iran University of Medical Sciences. With a perfect GPA of 4.0 and a thesis on domestic violence risk prediction using machine learning, he has exhibited an ability to combine advanced technology with psychological research to address significant societal challenges.

🎓  Education 

Meysam Salehi’s educational background exemplifies his commitment to mental health and research. He earned his Master of Science in Mental Health from Iran University of Medical Sciences, graduating in 2022 with a perfect GPA of 4. His thesis focused on predicting domestic violence risk in Iran using machine learning and Persian social media content analysis. Meysam actively contributed to academic initiatives, serving as a member of the Student Research Committee and the Student Scientific Association of Mental Health. He was recognized as the top graduate student and received various honors. Before his master’s degree, he completed a Bachelor of Science in Psychology at Kharazmi University in 2020, where he was awarded a scholarship and graduated with a GPA of 3.7. His academic foundation began at Farhang High School for Elites, where he received a Diploma of Higher Education in Human Sciences. Meysam’s educational path is marked by outstanding achievements and accolades.

💼   Professional Experience 

Meysam Salehi has a diverse professional background focused on enhancing mental health awareness and research. He co-founded Engarke, a Persian psychological website, in 2017. The platform promotes mental health literacy in Iran, covering a wide array of psychological topics. Meysam’s strategic content promotion efforts increased website traffic by 30%, and collaborations with professionals boosted user engagement. He also launched the Engarke podcast in 2019, where he led content development, narration, and outreach. His efforts resulted in a 40% increase in podcast subscriptions. As a Psychological YouTuber since 2021, he creates Persian content to spread mental health awareness in Iran. Additionally, Meysam served as a Research Assistant for Iran’s National Elites Foundation, contributing to a project on transcranial electrical brain stimulation for treatment-resistant OCD patients. His work emphasizes research-driven strategies, public engagement, and collaboration with mental health professionals to make meaningful impacts on Iranian society.

🏅 Awards and Recognition

Meysam Salehi has received numerous awards and recognitions for his academic excellence and contributions to mental health research. In 2023, he graduated with a perfect GPA of 4 from Iran University of Medical Sciences and secured first place in his Master’s program in Mental Health. His outstanding thesis on domestic violence risk prediction was highly praised. Meysam has been a proud associate of the Iran National Elites Foundation, where he worked on esteemed projects, including research on OCD. His academic achievements include a top rank of 90th in General Psychology and 120th in Clinical Psychology in the Ministry of Science entrance exam in 2020. Additionally, he ranked 45th in the University of Tehran’s master’s entrance exam. Meysam has also been an Annual Educational Award recipient and participated in the prestigious Second Fakhteh Poetry and Short Story Festival. His excellence extends to his role as a PLOS ONE reviewer, showcasing his academic influence.

🌍  Research Skills 

Meysam Salehi’s research skills are deeply rooted in his expertise in digital mental health and cognitive psychology. He excels at leveraging technology-based interventions, including machine learning and topic modeling, to predict and analyze domestic violence patterns through Persian social media content. His skills encompass a comprehensive understanding of data analysis, risk assessment, and ensemble learning methods, which are pivotal in developing innovative solutions for violence prevention. Meysam’s research is driven by his fascination with gamification and its psychological impacts, utilizing interdisciplinary approaches to address mental health challenges. His proficiency extends to conducting systematic literature reviews, designing research methodologies, and interpreting complex data sets. Meysam is also skilled in collaborating with academic and professional teams, contributing to high-quality research outputs. His meticulous attention to detail, coupled with his creative problem-solving abilities, enables him to produce insightful research with practical applications. His work continues to inspire advancements in mental health research.

📖 Publication Top Notes

  • Title: Domestic violence risk prediction in Iran using a machine learning approach by analyzing Persian textual content in social media
    Citations: 10

    Title: Classification of domestic violence Persian textual content in social media based on topic modeling and ensemble learning

  • Title: Psychoanalytic study of the function of cinema with emphasis on the concept of the gaze in the thought of Jacques Lacan

Mr. Hamid Abbasi | Dentistry | Best Researcher Award

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Mr. Hamid Abbasi | Dentistry | Best Researcher Award

Mr. Hamid Abbasi, Tabriz University of Medical Sciences, Iran

Hamid Abbasi is a dedicated Nutrition & Dietetics student at the Tabriz University of Medical Sciences. With a passion for clinical nutrition in neurology, Hamid has actively participated in research projects through the Student Research Committee and the Neurosciences Research Center. His academic focus revolves around conditions like multiple sclerosis, cognitive disorders, and epilepsy. Throughout his studies, Hamid has been involved in impactful scientific research, earning a notable H-index of 2 and contributing to numerous publications in peer-reviewed journals. His keen interest in exploring the dietary and neurological interface has led to significant insights into how nutrition influences neurological health. Alongside his studies, he has contributed as a reviewer for renowned journals, showcasing his analytical and scientific acumen. Hamid’s ongoing research, driven by curiosity and a commitment to advancing clinical nutrition, highlights his potential for making a transformative impact in the field.

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Summary of Suitability for the Research for Best Researcher Award

Hamid Abbasi, a Bachelor of Science student specializing in Nutrition and Dietetics at Tabriz University of Medical Sciences, demonstrates impressive research achievements and academic potential. Despite still being in his undergraduate studies, he has been actively involved in research that intersects clinical nutrition and neurology, with a particular focus on neurological disorders such as multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), epilepsy, and cognitive disorders. His research addresses vital aspects of nutrition in relation to neurological health, showcasing a depth of interest and expertise unusual for a student at this academic stage.

🎓 Education

Hamid Abbasi is currently pursuing a Bachelor of Science in Nutrition & Dietetics (2021-2025) at Tabriz University of Medical Sciences. His academic journey is anchored at two key institutions: the Student Research Committee and the Neurosciences Research Center, both situated in Tabriz, East Azerbaijan, Iran. His comprehensive education covers clinical nutrition with a focus on neurological disorders, emphasizing the interplay between dietary interventions and neurological health. Hamid’s commitment to academic excellence is evident in his impressive GPA of 3.43/4 as of his sixth semester. Throughout his education, he has demonstrated a strong inclination towards research, engaging in multiple studies and collaborations. His academic work has helped him develop a nuanced understanding of how nutrition impacts neurological conditions, preparing him to make meaningful contributions to clinical nutrition research.

💼  Professional Experience

Hamid Abbasi’s professional experience is deeply rooted in his research endeavors. He has been an active member of the Student Research Committee at Tabriz University of Medical Sciences, where he has contributed to projects examining the dietary impact on neurological disorders. Hamid has presented his findings at esteemed international congresses, including the 10th International Congress on Research and Technology of Iranian Medical Students. His engagement extends to reviewing manuscripts for journals such as the Journal of Clinical Neuroscience and Heliyon, showcasing his critical expertise in evaluating scientific literature. Additionally, Hamid has developed strong skills in statistical analysis, utilizing tools like IBM SPSS, STATA, and RStudio for data analysis. His experience reflects a commitment to advancing the field of clinical nutrition, with an emphasis on innovative research that bridges diet and neurology.

🏅Awards and Recognition

Hamid Abbasi has earned significant recognition for his contributions to the field of clinical nutrition and neurology. His research on Mediterranean-like diets for multiple sclerosis and the impact of trace elements on seizures has been widely acknowledged, with presentations at international congresses like the 10th International Congress on Research and Technology of Iranian Medical Students. His scientific insights and systematic reviews have placed him at the forefront of neurological nutrition research. Additionally, his H-index of 2 signifies the academic influence of his work, and he has been invited to review articles for journals such as Journal of Clinical Neuroscience and Heliyon. These achievements underline Hamid’s dedication to scientific excellence and his potential to advance understanding in nutrition and neurological health.

🌍   Research Skills

Hamid Abbasi possesses a wide array of research skills, with a focus on nutrition and its impact on neurological conditions. He is adept at systematic reviews and meta-analyses, having published studies on topics like the effects of trace elements on seizures and the role of cannabidiol in epilepsy. His skills extend to advanced statistical analysis using software such as IBM SPSS, STATA, and RStudio. Hamid is proficient in conducting comprehensive literature reviews and synthesizing research findings, which is crucial for evidence-based nutritional recommendations. His research interests cover multiple sclerosis, neuromyelitis optica spectrum disorder (NMOSD), amyotrophic lateral sclerosis (ALS), and cognitive disorders, where he explores dietary interventions. His strong analytical and methodological capabilities support his goal of contributing to clinical nutrition advancements.

 📖 Publication Top Notes

Title: Shining a Light on Trace Elements: A Systematic Review and Meta-analysis of Serum Concentrations in Febrile Seizure
Title: The Link Between Vitamin D and the Risk of Aneurysmal Subarachnoid Hemorrhage: A Systematic Review
Title: Effects of Coffee and Tea Consumption on Glioma Risk: An Umbrella Review of Systematic Reviews and Meta-analyses
Title: Exploring the Efficacy and Safety of Cannabidiol in Individuals with Epilepsy: An Umbrella Review of Meta-analyses and Systematic Reviews
Title: Iron-Status Indicators and HFE Gene Polymorphisms in Individuals with Amyotrophic Lateral Sclerosis: An Umbrella Review of Meta-analyses and Systematic Reviews

Prof. Dr. Haiyan Wang | Statistics | Best Researcher Award

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Prof. Dr. Haiyan Wang | Statistics | Best Researcher Award

Prof. Dr. Haiyan Wang, Kansas State University, United States

Professor Haiyan Wang, based at Kansas State University, is an esteemed academic in the Department of Statistics. With a Ph.D. from The Pennsylvania State University (2004), she has developed a robust research profile in statistical methods, specializing in nonparametric techniques for big data, image analysis, and high-dimensional data studies. Her scholarly journey encompasses profound contributions to advancing rank tests, functional data analytics, and data mining. At Kansas State University, Professor Wang has risen through the ranks from Assistant Professor to a full Professorship, illustrating her steadfast commitment to academic excellence and statistical innovation. Her research impacts not only theoretical statistics but also practical applications in data science, fostering collaboration across various disciplines. With a passion for teaching and mentoring, she continues to shape future statisticians while driving forward significant breakthroughs in her field.

Professional Profile

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Summary of Suitability for the Research for Best Researcher Award

Professor Haiyan Wang, a distinguished researcher in the Department of Statistics at Kansas State University, brings a wealth of expertise in statistical methods that are highly relevant in the current era of big data. Her research contributions span several critical areas, including nonparametric methods for big data, high-dimensional data analysis, image analysis, and computational statistics. These research domains are crucial in addressing the challenges posed by the explosion of data in science and industry, making her work both timely and impactful.

🎓   Education

Haiyan Wang earned her Ph.D. in Statistics from The Pennsylvania State University in 2004, where she focused on testing in multifactor heteroscedastic ANOVA and repeated measures designs with a large number of levels. Under the guidance of Professor Michael G. Akritas, she honed her expertise in statistical modeling and data analysis. Prior to her doctoral studies, she completed both her Master of Science (1999) and Bachelor of Science (1996) degrees at Beijing University, China. Her education laid a strong foundation for her analytical acumen, blending rigorous theoretical knowledge with applied methodologies. Through her studies, Professor Wang gained proficiency in complex statistical approaches, equipping her to tackle challenges in high-dimensional data, computational statistics, and advanced nonparametric techniques, which have become central to her research and academic endeavors.

💼  Professional Experience

Haiyan Wang began her academic career as a Graduate Teaching Assistant at The Pennsylvania State University from 1999 to 2003, transitioning to a Graduate Research Assistant role until 2004. She joined Kansas State University as an Assistant Professor in 2004, where she demonstrated exceptional research and teaching capabilities. Her commitment earned her tenure as an Associate Professor in 2010. In 2016, she was promoted to Professor, a testament to her continued excellence in statistical research and academic service. Throughout her career, she has actively engaged in teaching, curriculum development, and mentorship, shaping the future of statistics students. Her professional journey is marked by significant scholarly output, leadership roles in research collaborations, and active involvement in academic and research committees, further enhancing the reputation of Kansas State University in the field of statistics.

🏅 Awards and Recognition

Professor Haiyan Wang has received several accolades acknowledging her contributions to statistics and academia. Her research, often groundbreaking in nonparametric and high-dimensional data analysis, has been recognized through grants and publication awards. Her ability to innovate in computational and data-driven statistical methods has drawn acclaim from academic peers and professional organizations. In addition to research honors, she has been celebrated for her excellence in teaching and mentorship, fostering a new generation of statisticians and researchers. As a leading scholar at Kansas State University, she has also been acknowledged for her contributions to cross-disciplinary projects that leverage statistical analysis for broader scientific discoveries, securing her place as a respected voice in the global statistical community.

🌍   Research Skills

Professor Wang’s research skills are diverse and comprehensive. She specializes in nonparametric methods for big data analysis, including techniques for high-dimensional datasets, image analysis, and the development of rank tests. Her expertise extends to longitudinal and functional data analysis, crucial for understanding time-dependent and complex structured data. She is also adept in computational methods, utilizing advanced algorithms to facilitate large-scale data mining. Her skill set includes analyzing clustered and structured data, essential for applications in bioinformatics and social sciences. A visionary researcher, she combines rigorous theoretical development with practical applications, pushing the boundaries of what is possible in statistical analysis, machine learning, and big data interpretation.

📖 Publications Top Notes

  • Title: New two-sample tests for skewed populations and their connection to theoretical power of Bootstrap-t test

 

Assoc. Prof. Dr. Ozra Tabatabaei-Malazy | Medicine | Best Researcher Award

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Assoc. Prof. Dr. Ozra Tabatabaei-Malazy | Medicine | Best Researcher Award

Assoc. Prof. Dr. Ozra Tabatabaei-Malazy, Tehran University of Medical Sciences, Iran.

Dr. Ozra Tabatabaei Malazy is a distinguished researcher and academic in endocrinology and metabolism, associated with the Tehran University of Medical Sciences (TUMS) Endocrinology & Metabolism Research Institute (EMRI). Born in Iran in 1966, Dr. Tabatabaei has dedicated her career to improving clinical and public health outcomes, particularly in diabetes and metabolic disorders. With an impressive h-index of 23 (Scopus) and 33 (Google Scholar), she has contributed significantly to scientific knowledge through her expertise in clinical trials, cross-sectional studies, and meta-analyses. Her academic achievements include an MD, MPH, and PhD in Pharmacology, culminating in her current position as Assistant Professor. Dr. Tabatabaei’s influence extends to editorial roles in prominent journals, reflecting her commitment to advancing research quality and ethics. Her work is characterized by a focus on translating research into effective treatments and preventive measures, particularly for non-communicable diseases prevalent in Iran and worldwide.

Professional Profile

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summary of suitability for Best Researcher Award

Dr. Ozra Tabatabaei Malazy demonstrates an impressive track record in medical research, particularly in endocrinology and metabolism. Her extensive educational background, including an MD, an MPH focused on Knowledge Transfer Exchange, and a PhD in Pharmacology, aligns well with the research and clinical demands of the field. With over two decades of dedicated research experience at Tehran University of Medical Sciences, she has contributed to numerous studies on topics like diabetes, metabolic disorders, oxidative stress, and systematic reviews of therapeutic interventions. Her ongoing involvement in research projects, particularly in clinical trials, cross-sectional studies, and meta-analyses, highlights her commitment to advancing scientific knowledge and clinical practices.

🎓 Education 

Dr. Tabatabaei Malazy’s educational background underscores her dedication to both medical practice and research. She earned her General Medical Doctor (MD) degree in 1993, providing a strong foundation in clinical medicine. In 2006, she pursued a Master of Public Health (MPH) at Tehran University of Medical Sciences (TUMS), where her dissertation focused on Knowledge Transfer Exchange (KTE), a critical area for implementing research findings into healthcare practice. Driven by her passion for pharmacology and therapeutic interventions, she further advanced her academic qualifications with a PhD in Pharmacology in 2016. These degrees equipped her with the skills to integrate clinical insights with a population health perspective, fostering her development as a versatile researcher. Today, as an Assistant Professor, Dr. Tabatabaei combines her expertise in medicine, public health, and pharmacology to contribute to the fields of endocrinology and metabolism through her research and clinical trials.

💼    Experience 

Dr. Tabatabaei has a robust career in endocrinology and metabolism, with over two decades at the Tehran University of Medical Sciences’ Endocrinology & Metabolism Research Institute (EMRI). Since 1998, she has served as a research fellow, contributing to groundbreaking research in diabetes and lipid disorders. Additionally, she has been an active reviewer for journals like Iranian Journal of Diabetes & Lipid Disorders and Plos One, among others. Her influence extends to editorial roles, including Section Editor for the Journal of Diabetes and Metabolic Disorders and Plos One. Dr. Tabatabaei’s contributions are enriched by her membership on EMRI’s peer-review committee and her involvement as a guest editor. These positions showcase her commitment to advancing scientific standards. Through her editorial and peer-review work, Dr. Tabatabaei is shaping the quality of research published in her field, ensuring its relevance and integrity in endocrinology and metabolic sciences.

🏅Awards and Honors 

Dr. Tabatabaei’s outstanding contributions to endocrinology and metabolism have earned her numerous awards and honors, recognizing her influence in clinical research. Her editorial appointments across renowned journals such as Plos One and the Journal of Diabetes and Metabolic Disorders underline her authority in the field. Additionally, Dr. Tabatabaei’s role as a guest editor for Frontiers in Endocrinology highlights her expertise and leadership in metabolic research. Her efforts in reviewing and overseeing high-impact research have further contributed to her esteemed status within the academic community. With her impressive h-index metrics—23 in Scopus and 33 in Google Scholar—she is well-regarded for her scholarly impact. Dr. Tabatabaei’s recognitions underscore her commitment to advancing research and influencing global health perspectives, particularly within endocrinology and non-communicable disease prevention.

🌍   Research Focus 

Dr. Tabatabaei’s research primarily centers on non-communicable diseases, particularly diabetes and metabolic disorders. Her studies explore the underlying mechanisms of these conditions, emphasizing risk factors, preventive measures, and therapeutic interventions. Dr. Tabatabaei has contributed to numerous clinical trials and cross-sectional studies, providing valuable insights into the epidemiology and management of metabolic diseases. Her work often includes systematic reviews and meta-analyses, establishing her as a pivotal figure in evidence-based medicine. Dr. Tabatabaei is also actively involved in scientometric studies that analyze research trends and their impact on healthcare practices. Her commitment to research extends to the field of pharmacology, where she examines the effects of natural and synthetic compounds on metabolic health. Through her extensive research, Dr. Tabatabaei aims to develop practical solutions for managing and mitigating the global burden of diabetes and related metabolic disorders.

📖 Publication Top Notes

  • Title: Nurses’ role in diabetic foot prevention and care; a review
    Citation: 259
  • Title: New horizons in treatment of osteoporosis
    Citation: 211
  • Title: Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the …
    Citation: 185
  • Title: Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in …
    Citation: 161
  • Title: Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease .
    Citation: 149

Mr. Shuaikang Chang | thermal | Best Researcher Award

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Mr. Shuaikang Chang | thermal | Best Researcher Award

Mr. Shuaikang Chang, CHONGQING UNIVERSITY, China

Shuaikang Chang is a dedicated Ph.D. candidate at Chongqing University, China, specializing in Safety Science and Engineering. His research focuses on the transformative potential of ultra-high-pressure abrasive waterjet machining, particularly its application for thermosensitive and hard-to-machine materials. With a strong foundation in Safety Engineering from his undergraduate studies, Chang has contributed significantly to the field through his pioneering research on the thermal deformation mechanisms in abrasive waterjet machining. He has actively participated in national and special technology innovation grants, where his work addresses advanced engineering solutions for challenging machining processes. Chang’s research collaborations with fellow experts have yielded insights into the thermal effects, cycling mechanisms, and microstructural transformations associated with machining titanium alloys, enhancing their applicability across industries.

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Summary of Suitability for the Research for Best Researcher Award

Shuaikang Chang’s focused research, early contributions through publication, and engagement in high-impact projects position him as a competitive candidate for the Research for Best Researcher Award. His work aligns with the award’s objective to honor outstanding research contributions and innovation, making him a strong contender for this recognition.

🎓 Education

Shuaikang Chang is currently pursuing his Ph.D. in Safety Science & Engineering through an integrated Master’s and Ph.D. program at Chongqing University. He completed his Bachelor of Engineering (BEng) in Safety Engineering at the same institution, where he developed a solid grounding in engineering principles and safety protocols. During his postgraduate studies, Chang has been associated with the School of Resources and Safety Engineering, Chongqing University. His academic journey reflects a progressive focus on machining technologies and material safety, driven by an interdisciplinary approach. Chang’s coursework and practical experience have centered on the innovative application of waterjet machining, supported by his participation in specialized research projects and high-impact studies that push the boundaries of conventional engineering. He has skillfully leveraged academic resources to deepen his expertise, aligning with his aspiration to create safer and more effective industrial solutions.

💼  Experience 

Shuaikang Chang has been an active postgraduate researcher at the School of Resources and Safety Engineering, Chongqing University, since 2021. His experience primarily revolves around developing advanced abrasive waterjet machining techniques tailored for complex materials. Chang’s research evaluates ultra-high-pressure abrasive waterjets for thermosensitive and hard-to-machine materials, focusing on thermal cycling mechanisms and deformation behaviors. His expertise also extends to cryogenic techniques, investigating the effects of liquid nitrogen-assisted waterjet machining on material properties. Throughout his studies, he has contributed to multiple high-profile research grants, including a National Natural Science Foundation of China project that examined rock fracturing mechanisms using flash boiling liquid carbon dioxide jets. Chang’s insights have informed safer, more efficient machining processes, as evidenced by his publications in respected journals. His work reflects both technical rigor and a commitment to advancing machining technology for industrial applications.

🏅  Awards and Honors

Shuaikang Chang has received recognition for his contributions to engineering and safety science. His achievements include awards related to his pioneering research on abrasive waterjet machining, where he has advanced the understanding of thermal effects and deformation mechanisms on complex materials. Through his involvement in significant research grants from the National Natural Science Foundation of China and the Special Key Project for Technological Innovation in Chongqing, Chang has demonstrated excellence in both academic and applied research settings. His work has been acknowledged for its impact on the field of high-pressure waterjet technology, earning him the esteem of his peers and supervisors. Chang continues to receive commendations for his studies on material properties and safety protocols in machining processes, solidifying his reputation as a leading researcher within his field.

🌍  Research Focus 

Shuaikang Chang’s research focuses on the development and application of ultra-high-pressure abrasive waterjet machining for materials that are traditionally difficult to process. His work investigates the thermal deformation and material property changes induced by high-pressure jet technology, with a particular emphasis on thermosensitive alloys like Ti-6Al-4V. Chang’s research explores how varying jet pressures and the introduction of liquid nitrogen affect the microstructure and macro-properties of materials, aiming to extend the applicability of this machining technology. His studies on the deformation mechanisms and thermal cycling behaviors have the potential to influence several industries by improving safety, efficiency, and material integrity in manufacturing processes. Chang’s research is backed by notable grants, including projects under the National Natural Science Foundation of China, allowing him to push the boundaries of abrasive machining for broader, innovative applications.

📖 Publications Top Notes

Title: Thermal effects and deformation mechanisms in abrasive waterjet machining: insights from Ti-6Al-4V alloy for broader applications

 

Dr. Yilie Liao | Metabolism | Best Researcher Award

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Dr. Yilie Liao | Metabolism | Best Researcher Award

Dr. Yilie Liao, Zhongshan Institute for Drug Discovery (ZIDD), China

Yilie Liao is an accomplished scientist specializing in metabolic research and integrative biology. Currently, she serves as an Assistant Research Scientist at the Zhongshan Institute for Drug Discovery under the Shanghai Institute of Materia Medica, part of the Chinese Academy of Sciences. With a Ph.D. in Biology from Tsinghua University, Yilie has a rich background in life sciences, particularly focusing on metabolic disease, neurodevelopment, and tumorigenesis. Her research, conducted in collaboration with leading institutions, including Duke-NUS Medical School, delves into metabolic reprogramming, revealing significant insights into the biological mechanisms underlying health and disease. She is recognized for her innovative approach, evidenced by her pioneering work in metabolic pathways and proteomic studies. Through her dedication to research and collaboration, Yilie continues to push the boundaries of biological sciences, making notable contributions to the understanding and potential treatments for complex metabolic conditions.

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Suitability for the Research for Best Researcher Award

Yilie Liao’s dedication to addressing vital biological questions in metabolic health and his breadth of expertise in both technical and conceptual aspects of biology position him as an exceptional candidate for the Research for Best Researcher Award. His innovative findings, technical versatility, and contributions to high-impact publications underscore his potential for continued advancements in biology.

🎓  Education 

Yilie Liao obtained her Ph.D. in Biology from the School of Life Sciences at Tsinghua University in 2020, where she conducted groundbreaking research under the mentorship of Dr. Suneng Fu. Her doctoral studies focused on metabolic reprogramming in metabolic diseases and neural development. Previously, she earned her B.Sc. in Biological Science from Nanjing Agricultural University in 2013. Her undergraduate education laid the foundation for her interest in integrative biology and metabolic research. Throughout her academic journey, Yilie acquired a robust skill set, encompassing molecular biology techniques, data analysis, and metabolomic profiling. Her proficiency in multi-omics data analysis, combined with a strong foundation in biological sciences, has enabled her to explore complex biochemical pathways and cellular processes. Her educational background reflects her commitment to advancing scientific knowledge and tackling complex issues in metabolic diseases and cellular biology.

💼   Experience

Yilie Liao’s research career spans several prestigious institutions and roles, each contributing to her expertise in metabolic biology. She is currently an Assistant Research Scientist at Zhongshan Institute for Drug Discovery under the Shanghai Institute of Materia Medica. From 2021 to 2023, she worked as a Postdoctoral Fellow at Bioland Laboratories, investigating neurodevelopmental and metabolic disease mechanisms under Prof. Peng Li. In 2022, she was a visiting researcher at Duke-NUS Medical School, exploring novel metabolic pathways with renowned scientists Prof. Weiping Han and Dr. Alfred Sun. Her projects have included identifying SLC transporters in the central nervous system and studying metabolic substrates impacting liver and brain health. Through these roles, Yilie has acquired extensive experience in experimental design, data mining, and integrative biology, making her a leading expert in her field with substantial contributions to metabolic disease research.

🏅 Awards and Honors 

Yilie Liao’s contributions to metabolic biology and her dedication to advancing scientific understanding have earned her numerous accolades. Her work on hepatic lipogenesis and metabolic reprogramming has been recognized with prestigious awards from leading scientific societies, highlighting her impact in biomedical research. She has received notable recognition from the Chinese Academy of Sciences for her innovative work in translational research and metabolic disease. As a testament to her expertise, she has been a recipient of research grants supporting her studies on cellular metabolism, neurodevelopment, and tumorigenesis. Yilie’s publications in high-impact journals such as Cell Metabolism and Hepatology further underscore her prominence in the field. Her academic and professional honors reflect her commitment to scientific excellence and her potential to drive significant advancements in biological and metabolic research.

🌍 Research Focus

Yilie Liao’s research centers on uncovering the intricate mechanisms of metabolic reprogramming in health and disease. She investigates how metabolic pathways influence conditions such as obesity, neurodevelopmental disorders, and cancer, with a particular focus on the role of amino acids in hepatic lipogenesis. Her recent work explores SLC transporters’ influence in the central nervous system and their impact on brain functions. Additionally, her research extends to the identification of metabolic markers in Alzheimer’s disease, using single-cell sequencing to reveal early dysfunctions. She is also involved in studying tumor microenvironment metabolic changes, with implications for early diagnosis and treatment of liver cancer. Through her work, Yilie aims to provide insight into metabolic diseases and develop novel therapeutic approaches that address metabolic imbalances, contributing to the broader field of translational medicine.

📖 Publication Top Notes

  • Amino acid is a major carbon source for hepatic lipogenesis
  • Hepatic mitochondrial NAD+ transporter SLC25A47 activates AMPKα mediating lipid metabolism and tumorigenesis
  • Genetic Ablation of LAT1 Inhibits Growth of Liver Cancer Cells and Downregulates mTORC1 Signaling