Minura Samaranayake | Bioinformatics | Best Researcher Award

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Mr. Minura Samaranayake | Bioinformatics | Best Researcher Award

Mr. Zhishui You | Brain-Computer Interface – South Dakota State University | United States

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Minura Samaranayake is a versatile engineer and researcher with a strong foundation in software development and satellite image processing. Currently pursuing a Master’s in Electrical Engineering at South Dakota State University, he works as a Graduate Research Assistant at the Image Processing Lab, focusing on hyperspectral and multispectral image analysis. He previously worked at Sysco LABS as a Software Engineer, building scalable cloud-based systems and AI-driven applications. Proficient in Java, Python, MATLAB, and AWS, Minura excels at creating robust pipelines and intelligent systems that bridge scientific research and real-world engineering.

🎓 Education

Minura is currently enrolled in the M.S. Electrical Engineering program at South Dakota State University (2023–2025), studying Machine Learning, Optical Sensors, and Deep Learning. He earned his B.Sc. in Computer Science from the University of Peradeniya, Sri Lanka (2018–2022), where he focused on Software Project Management, Functional Programming, and Image Processing. He received the Prize for Excellence in Computer Science and was listed on the Dean’s List. His education merges theoretical depth with applied skills in software engineering and signal processing.

💼 Experience

Minura has experience in both academia and industry. At SDSU, he developed automated Linux pipelines for radiometric calibration, MTF estimation, and hyperspectral analysis. At Sysco LABS, he built REST APIs and microservices using Java (Spring Boot), integrated Apache Kafka, and automated CI/CD with Docker and GitHub Actions. He also developed an AI-based safety wear detection system with TensorFlow. His contributions span scientific research and enterprise-grade solutions, showcasing his technical versatility and team collaboration skills.

🏅 Awards and Honors

Minura has received recognition for both academic excellence and leadership. He was awarded the Prize for Excellence in Computer Science (2022) and made the Dean’s List. In addition, he was the Rugby Team Captain (2021) at the University of Peradeniya. These honors reflect his multifaceted capabilities, commitment to personal development, and ability to balance academics and extracurriculars.

🔬 Research Focus

Minura’s research centers on satellite sensor calibration, particularly hyperspectral and multispectral imagery. At SDSU, he specializes in Trend-to-Trend cross-calibration, MTF modeling, and spectral band adjustment. He works with EPICS targets to ensure the harmonization of sensors like Landsat and Sentinel. His research supports global monitoring applications in climate, agriculture, and environmental science. His peer-reviewed publication in Remote Sensing underlines his scientific contributions and commitment to data accuracy in Earth observation.

📚 Selected Publication

Refinement of Trend-to-Trend Cross-Calibration Total Uncertainties Utilizing Extended Pseudo Invariant Calibration Sites (EPICS) Global Temporally Stable Target

  • Authors: Minura Samaranayake, Morakot Kaewmanee, Larry Leigh, Juliana Fajardo Rueda

  • Journal: Remote Sensing

  • Year: 2025

 

Jinpeng Chen | recommendation systems | Best Researcher Award

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Assoc Prof Dr. Jinpeng Chen | recommendation systems | Best Researcher Award

Beijing University of Posts & Telecommunications | China

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Biography of Assoc Prof Dr. Jinpeng Chen 👨‍💻

🎓 Education & Global Experience

Assoc. Prof. Dr. Jinpeng Chen began his academic journey with a Ph.D. in Computer Science from Beihang University (2011–2016). During his doctoral studies, he expanded his research horizons internationally—spending a year as a Visiting Ph.D. scholar at Aalborg University in Denmark (2014–2015), and also working as a Research Assistant at the University of Sydney in Australia (2013–2014). These global experiences laid the foundation for his collaborative and cross-cultural approach to research. 🌍📘

👨‍🏫 Academic Positions

Dr. Chen currently serves as an Associate Professor at the Beijing University of Posts and Telecommunications (BUPT), a position he has held since December 2018. Prior to that, he was an Assistant Professor at BUPT from 2016 to 2018. Over the years, he has been actively involved in teaching, mentoring graduate students, and leading innovative research projects. 🏫🔬

🔬 Research Interests & Projects

His research primarily focuses on Data Mining, Social Network Analysis, Crowdsourcing-based Data Processing, Machine Learning, and Artificial Intelligence. Dr. Chen has led and contributed to numerous high-impact research projects, including the Beijing Natural Science Foundation (2023–2026) and multiple grants from the National Natural Science Foundation of China. He also participated in the National Key R&D Program of China, contributing to the development of algorithms for user profiling, recommendations, traffic analysis, and intelligent marketing. 📊🤖

🧠 Academic Service & Community Contribution

Dr. Chen is a dedicated member of the global research community. He has served as a reviewer for prestigious journals such as ACM TOIS, TKDD, IEEE TNNLS, IEEE TFS, and TCC, among others. He is also a frequent external reviewer and program committee member for leading conferences like KDD, WWW, DASFAA, IJCAI, and BigData. His expert insights and evaluations have helped maintain the high standards of academic publishing. 📝🌐

🎤 Talks & Presentations

As a recognized thought leader in his field, Dr. Chen has been invited to speak at major academic events. Notable presentations include his talk at the KDD China 2023 Summer School on “Mandari: Multi-Modal Temporal Knowledge Graph-aware Sub-graph Embedding”, and his keynote at ICAIBD 2023 on “Sequential Intention-aware Recommender based on User Interaction Graph”. He has also shared his research at CGCM 2014 and during a special invitation to the School of Information Technologies at the University of Sydney. 🗣️📢

🚀 Impact & Vision

Assoc. Prof. Dr. Jinpeng Chen continues to drive innovation at the intersection of data science and artificial intelligence. His research not only contributes to academic advancement but also influences real-world applications in technology, business, and social platforms. With a passion for AI and a strong foundation in collaborative research, he is shaping the future of intelligent systems, one algorithm at a time. 🌟📈

📚 Top Notes Publications

Title: Automatic tagging by leveraging visual and annotated features in social media

Authors: J. Chen, P. Ying, X. Fu, X. Luo, H. Guan, K. Wei
Journal: IEEE Transactions on Multimedia
Year: 2021

Title: Inferring tag co-occurrence relationship across heterogeneous social networks

Authors: J. Chen, Y. Liu, G. Yang, M. Zou
Journal: Applied Soft Computing
Year: 2018

Title: Sequential intention-aware recommender based on user interaction graph

Authors: J. Chen, Y. Cao, F. Zhang, P. Sun, K. Wei
Journal: Proceedings of the 2022 International Conference on Multimedia Retrieval
Year: 2022

Title: From tie strength to function: Home location estimation in social network

Authors: J. Chen, Y. Liu, M. Zou
Journal: 2014 IEEE Computers, Communications and IT Applications Conference
Year: 2014

Title: FePN: A robust feature purification network to defend against adversarial examples

Authors: D. Cao, K. Wei, Y. Wu, J. Zhang, B. Feng, J. Chen
Journal: Computers & Security
Year: 2023

Rosa M. Gil-Iranzo | Ethics in Data Analysis | Best Researcher Award

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Assoc Prof Dr. Rosa M. Gil-Iranzo | Ethics in Data Analysis | Best Researcher Award

Universitat de LLeida | Spain

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Current Position 🏫

Assoc Prof Dr. Rosa M. Gil-Iranzo is an Associate Professor at the Universitat de Lleida (UdL), Spain, in the Department of Computer Engineering and Digital Design. She has held this position since 2005, contributing to the advancement of education and research in computer science, with a focus on ethics in software design.

Summary 📝

Dr. Gil-Iranzo has a strong background in artificial intelligence (AI) and gamification, working on projects related to Down syndrome, ADHD, and autism. Her work also integrates ethical considerations, especially gender, ethnicity, and age, into the development of AI systems and software. She has always sought to promote intergenerational experiences and social inclusion through technology.

Education 🎓

Dr. Gil-Iranzo holds a Bachelor’s in Physics from the University of Barcelona (UB) (1996) and a Master’s in Digital Communication and Computing from ESUP (UPF) (2005). She further specialized with a Postgraduate in Emotional Therapy from Fundació Universitat de Girona (2018).

Professional Experience 💼

Dr. Gil-Iranzo has extensive experience in both teaching and research. Her work spans across multiple research projects, including AI’s role in the digital transformation of sectors like agriculture and healthcare. She has led and contributed to projects funded by the Spanish Ministry of Science and the European Union.

Academic Cites 📚

Dr. Gil-Iranzo has authored numerous influential publications in peer-reviewed journals and conferences, with a particular focus on the ethical impact of AI, gamification, and active aging. Her work has been widely cited in high-impact journals like Heliyon, Applied Sciences-Basel, and Soft Computing.

Technical Skills 💻

Dr. Gil-Iranzo is proficient in several key areas of computer science, including AI, gamification, ontology-based software design, and non-fungible tokens (NFTs) for copyright management. She also has expertise in data science and semantic web technologies, along with ethical software development.

Teaching Experience 📖

As a seasoned educator, Dr. Gil-Iranzo has taught various courses at Universitat de Lleida, specializing in computer science, software design, and artificial intelligence. She is committed to integrating ethical considerations into her teaching methods and engaging students in practical, hands-on projects.

Research Interests 🔬

Her primary research interests lie in the intersection of AI and ethics, exploring topics like intergenerational gaming, smart cities, and data reuse. She is also deeply interested in how technology can address social isolation and empowerment in vulnerable populations, including the elderly and those with developmental disorders.

Top Notes Publications 📚

A Review of Media Copyright Management Using Blockchain Technologies from the Academic and Business Perspectives

    • Authors: Roberto García, Ana Cediel, Mercè Teixidó, Rosa M. Gil

    • Journal: Information

    • Year: 2025

Sovereignty by design and human values in agriculture data spaces

    • Authors: Rosa María Gil, Mark Ryan, Roberto García

    • Journal: Agriculture and Human Values

    • Year: 2025

De la ansiedad al empoderamiento: Impacto del uso de la inteligencia artificial en la percepción de los estudiantes en educación superior

    • Authors: Rosa Gil Iranzo, Daniel Gutiérrez-Ujaque, Mercè Teixidó Cairol

    • Journal: REDU. Revista de Docencia Universitaria

    • Year: 2024

Analyzing the Metaverse: Computer Games, Blockchain, and 21st-Century Challenge

    • Authors: Rosa M. Gil, Daniel Gutiérrez-Ujaque, Mercè Teixidó

    • Journal: International Journal of Human–Computer Interaction

    • Year: 2024

Semantics and Non-fungible Tokens for Copyright Management on the Metaverse and Beyond

    • Authors: Roberto García, Ana Cediel, Mercè Teixidó, Rosa Gil

    • Journal: ACM Transactions on Multimedia Computing, Communications, and Applications

    • Year: 2024

Xin Su | Temporal Data Patterns | Best Researcher Award

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Assoc Prof Dr. Xin Su | Temporal Data Patterns | Best Researcher Award

Wuhan University | China

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EARLY ACADEMIC PURSUITS 📚

Dr. Xin Su’s academic journey began with his pursuit of a Ph.D. at Télécom ParisTech, where his foundational work in remote sensing and computer vision laid the groundwork for his later breakthroughs. His early research on multi-temporal image processing set the stage for his significant contributions in the field.

PROFESSIONAL ENDEAVORS 💼

Following his postdoctoral research at INRIA, Dr. Su took on the role of Associate Professor at Wuhan University. Over the years, his research has expanded into disaster management and urban development, where he has actively led projects with direct applications for societal benefit.

CONTRIBUTIONS AND RESEARCH FOCUS  ON Temporal Data Patterns🌍

Dr. Su’s most significant contributions are in multi-temporal remote sensing change detection and classification mapping. His research has had tangible effects in managing natural disasters, such as mapping the 2022 Henan flood and the 2023 Turkey earthquake. His focus on extracting actionable information from remote sensing data has provided critical insights for emergency responses and urban development.

IMPACT AND INFLUENCE 🌏

Dr. Su’s research has influenced not only academic thought but also practical applications in various industries. His involvement in projects funded by the National Natural Science Foundation of China has provided the government with tools for urban monitoring, disaster management, and land-use planning.

ACADEMIC CITATIONS 📈

With over 1,000 citations to his work, Dr. Su has garnered recognition for his research, with more than 40 SCI papers published in top-tier journals. His research contributions have significantly advanced the fields of remote sensing and computer vision, ensuring their practical use in tackling global challenges.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Xin Su is poised to leave a lasting legacy in the fields of remote sensing and artificial intelligence. His ongoing research, particularly in urban development and disaster management, will continue to shape the future of environmental monitoring and response strategies.

KEY RESEARCH FOCUS 🔍

  • Remote sensing image processing
  • Multi-temporal remote sensing information extraction
  • Computer vision applications in disaster response and urban planning

COLLABORATIONS AND PARTNERSHIPS 🤝

Dr. Su collaborates with esteemed researchers like Prof. Florence TUPIN (Telecom ParisTech), Prof. Christine GUILLEMOT (INRIA), and others at Wuhan University, including Prof. Liangpei Zhang and Prof. Qiangqiang Yuan, to push the boundaries of remote sensing research.

PROFESSIONAL MEMBERSHIPS 🏅

  • IEEE Member
  • CSIG (China Society of Image and Graphics) Member

AWARD CATEGORY PREFERENCE 🏆

Dr. Su has applied for the Best Researcher Award, underscoring his groundbreaking contributions to remote sensing and AI-driven applications in environmental monitoring and urban planning.

TOP NOTES PUBLICATIONS 📚

Satellite video super-resolution via multiscale deformable convolution alignment and temporal grouping projection
    • Authors: Y Xiao, X Su, Q Yuan, D Liu, H Shen, L Zhang
    • Journal: IEEE Transactions on Geoscience and Remote Sensing
    • Year: 2021
Cloud removal with fusion of high resolution optical and SAR images using generative adversarial networks
    • Authors: J Gao, Q Yuan, J Li, H Zhang, X Su
    • Journal: Remote Sensing
    • Year: 2020
A coarse-to-fine boundary refinement network for building footprint extraction from remote sensing imagery
    • Authors: H Guo, B Du, L Zhang, X Su
    • Journal: ISPRS Journal of Photogrammetry and Remote Sensing
    • Year: 2022
Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer
    • Authors: Y Xiao, Q Yuan, J He, Q Zhang, J Sun, X Su, J Wu, L Zhang
    • Journal: International Journal of Applied Earth Observation and Geoinformation
    • Year: 2022
Two-Step Multitemporal Nonlocal Means for Synthetic Aperture Radar Images
    • Authors: X Su, CA Deledalle, F Tupin, H Sun
    • Journal: Geoscience and Remote Sensing, IEEE Transactions on
    • Year: 2014
DymSLAM: 4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation
    • Authors: C Wang, B Luo, Y Zhang, Q Zhao, L Yin, W Wang, X Su, Y Wang, C Li
    • Journal: IEEE Robotics and Automation Letters
    • Year: 2020

María Ortiz de Zúñiga | Data Analysis | Best Researcher Award

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Mrs. María Ortiz de Zúñiga | Data Analysis | Best Researcher Award

Mrs. María Ortiz de Zúñiga, UNED and Fusion for Energy, Spain

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🌟 Summary

Mrs. María Ortiz de Zúñiga With over 17 years of experience in Fusion for Energy, I have contributed to various complex, multidisciplinary projects such as the ITER program, leading and managing teams, technical contracts, and large-scale nuclear mechanical systems. My expertise spans across engineering disciplines, including mechanical and computer engineering, and I hold two Master’s degrees in Mechanical Engineering and Computer Engineering. I specialize in project management, leadership, and AI for engineering development, focusing on driving innovation in advanced manufacturing technologies, nuclear safety, and stakeholder management.

🎓 Education

  • Philosopher’s Degree (PhD) in Industrial Technologies
    Universidad Nacional de Educación a Distancia – UNED (2021–Present)
  • Master of Engineering in Mechanical Engineering in Advanced Manufacturing Technologies
    Universidad Nacional de Educación a Distancia – UNED (2017–2021)
  • Master of Engineering in Computer Engineering
    Universidad Pontificia de Comillas – ICAI (2002–2007)

💼 Professional Experience

  • Senior Technical Officer, Fusion for Energy (2022–Present)
    Leading AI for engineering developments in the ITER project, responsible for managing expert contracts and representing F4E in the RCC-MRx nuclear code subcommittee.
  • Deputy Program Manager, Antennas Programme for ITER (2021–2022)
    Managed the design, procurement, and manufacturing of the Electron Cyclotron Antenna, including stakeholder and contract management.
  • Project Manager, ITER Vacuum Vessel Sectors (2019–2021)
    Oversaw the manufacturing of the last 3 European Vacuum Vessel sectors, managing financial, administrative, and technical contract responsibilities.
  • Technical Project Coordinator, ITER Vacuum Vessel (2016–2019)
    Led a team managing technical data, project contracts, and the supply chain for the Vacuum Vessel’s nuclear mechanical systems.
  • Planning Officer, Fusion for Energy (2007–2015)
    Managed planning and scheduling for ITER-related projects, supported risk management, and developed procurement schedules.

📝 Academic Citations

  • Co-chair, Artificial Intelligence Track (CT-19) at ASME-PVP
  • Reviewer at international conferences like SMiRT, ITU, and IAEA
  • Published research on AI in manufacturing and engineering processes for ITER components.

💻 Technical Skills

  • Engineering Software: Proficient in CAD systems, Primavera, Enovia Smarteam PLM, and AI tools for engineering applications.
  • Project Management: Skilled in planning, scheduling, risk management, earned value management, and contract negotiations.
  • Nuclear Safety: Experienced in working with the RCC-MRx code, nuclear safety audits, and quality control for nuclear-related projects.
  • Languages: Fluent in up to 6 European languages.

👩‍🏫 Teaching Experience

  • Co-led the Artificial Intelligence Community within Fusion for Energy to raise awareness and promote AI usage in engineering projects.
  • Actively contributed to Diversity, Equity, and Inclusion initiatives within F4E, supporting training and workshops on these topics.

🔬 Research Interests On Data Analysis

  • Artificial Intelligence for manufacturing optimizations in nuclear components.
  • Data Analysis in high-tech engineering, focusing on predictive models for welding success, ultrasonic testing, and superconducting magnets.
  • Development and integration of advanced manufacturing technologies into nuclear engineering systems.

Publication Top Notes

Project management techniques used in the European Vacuum Vessel sectors procurement for ITER

📑 Authors: M Losasso, MO de Zuniga, L Jones, A Bayon, JF Arbogast, J Caixas, …
📰 Journal: Fusion Engineering and Design
📅 Year: 2012

Artificial Intelligence for the Output Processing of Phased-Array Ultrasonic Test Applied to Materials Defects Detection in the ITER Vacuum Vessel Welding Operations

📑 Authors: M Ortiz de Zuniga, N Prinja, C Casanova, A Dans Alvarez de Sotomayor, …
📰 Journal: Pressure Vessels and Piping Conference
📅 Year: 2022

Artificial Intelligence for quality control in manufacturing applied to materials defects detection in the ITER Vacuum Vessel welding operations

📑 Authors: MO de Zúñiga López-Chicheri, M Febvre, ADA de Sotomayor, N Prinja, …
📰 Journal: IASMiRT
📅 Year: 2022

 

Jiao Kai | Data Science | Best Researcher Award

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Prof Dr. Jiao Kai | Data Science | Best Researcher Award

Department of Stomatology, Tangdu Hospital, China

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👨‍⚕️ Prof. Dr. Jiao Kai - A Leading Expert In Stomatology

Early Academic Pursuits 🎓

Prof. Dr. Jiao Kai’s academic journey in stomatology began with a deep commitment to the field. He pursued higher education, ultimately becoming a doctoral supervisor. His early research laid the groundwork for his future breakthroughs, with a focus on oral medicine and temporomandibular joint disorders. Through rigorous training, he became an expert in the intricacies of oral health, reconstructive techniques, and joint disorders, propelling his career to new heights.

Professional Endeavors 💼

Currently, Prof. Dr. Jiao serves as the Director of the Department of Stomatology at Tangdu Hospital, Air Force Medical University. His role encompasses both clinical practice and leading research initiatives. In addition, he is the Branch Secretary and Director of the Oral Medicine Teaching and Research Section. As a Doctoral Supervisor and member of various esteemed professional organizations, his influence spans across national and international levels.

Contributions and Research Focus 🔬

Prof. Dr. Jiao’s research primarily targets the prevention, treatment, and regenerative reconstruction of temporomandibular joint disorders. Leading numerous high-level research projects, his groundbreaking work in regenerative techniques has advanced the understanding and treatment of joint disorders, focusing on enhancing patient outcomes. His contributions have garnered numerous awards and recognition for scientific progress in stomatology.

Impact and Influence 🌍

Prof. Dr. Jiao has left a significant mark on the field, with his research being cited over 3,200 times globally. He has earned recognition as a scientist in the top 2% worldwide. His work has shaped clinical practices and continues to influence stomatology, earning him a reputation as a global leader in his field. He is also a sought-after reviewer and editor for numerous prestigious journals.

Academic Cites 📚

Over the last five years, Prof. Dr. Jiao’s research has been cited more than 3,200 times, with over 20 of his papers having an impact factor (IF) greater than 10. His extensive body of work has set new benchmarks in oral medicine, influencing clinical practices and advancing the understanding of temporomandibular joint disorders.

Legacy and Future Contributions 🌱

Prof. Dr. Jiao’s legacy is rooted in innovation, mentorship, and exceptional research. His groundbreaking studies and pioneering therapeutic techniques have solidified his position as a global leader in stomatology. Committed to advancing temporomandibular joint disorder research, he remains dedicated to the development of regenerative treatments and fostering international collaborations for future advancements.

Awards and Recognitions 🏆

Prof. Dr. Jiao has received multiple accolades, including the prestigious First Prize from the Chinese Stomatological Association and for Scientific Progress in Shaanxi Province. He has been recognized as a Young Top Talent of the National "Ten Thousand Talents Program" and a Distinguished Young Scholar in Shaanxi Province for his outstanding contributions to research and innovation.

Patents and Technology Transfer 🛠️

Prof. Dr. Jiao has contributed significantly to applied science, holding 29 invention patents, with 16 attributed to him as the primary inventor. His patents have led to the commercialization of advanced technologies, contributing to the academic and industrial sectors with a total transfer value exceeding 10 million yuan.

Collaborations and Professional Memberships 🤝

Prof. Dr. Jiao’s collaborations with global experts such as Professor Xu Cao (Johns Hopkins University) and Professor Jiang Chang (Chinese Academy of Sciences) have enhanced his international influence. He holds leadership positions in several national and regional scientific organizations, including the Shaanxi Provincial Stomatological Association and the Shaanxi Oral Physicians Association, contributing to the progress of the field.

Books Published and Editorial Appointments 📖

Prof. Dr. Jiao has actively contributed to academic literature, participating in the compilation and translation of 12 books, and serving as the chief editor for four of them. His editorial roles in national and international journals reflect his dedication to advancing knowledge in the field of stomatology.

Areas of Research 🔍

His ongoing research focuses on the prevention, treatment, and regenerative regeneration of temporomandibular joint disorders, striving to develop innovative therapies that improve patient care and outcomes globally. His work continues to shape the future of stomatology and has made a lasting impact on medical practices worldwide.

Top Noted Publications 📖

Pathological mechanism of chondrocytes and the surrounding environment during osteoarthritis of temporomandibular joint

Authors: Li B, Guan G, Mei L, Jiao K, Li H

Journal: Journal of Cellular and Molecular Medicine

Year: 2021

Crosstalk between Bone and Nerves within Bone

Authors: Wan QQ, Qin WP, Ma YX, Shen MJ, Li J, Zhang ZB, Chen JH, Tay FR, Niu LN, Jiao K

Journal: Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

Year: 2021

Matrix stiffening by self-mineralizable guided bone regeneration

Authors: Li J, Yan JF, Wan QQ, Shen MJ, Ma YX, Gu JT, Gao P, Tang XY, Yu F, Chen JH et al.

Journal: Acta Biomaterialia

Year: 2021

miR-200-3p suppresses cell proliferation and reduces apoptosis in diabetic retinopathy via blocking the TGF-β2/Smad pathway

Authors: Xue L, Xiong C, Li J, Ren Y, Zhang L, Jiao K, Chen C, Ding P

Journal: Bioscience Reports

Year: 2020

The 14-3-3η/GSK-3β/β-catenin complex regulates EndMT induced by 27-hydroxycholesterol in HUVECs and promotes the migration of breast cancer cells.

Authors: Zhen J, Jiao K, Yang K, Wu M, Zhou Q, Yang B, Xiao W, Hu C, Zhou M, Li Z

Journal: Cell Biology and Toxicology

Year: 2020

Maame Yaa Yiadom | Data collection | Women Researcher Award

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Dr. Maame Yaa Yiadom | Data collection | Women Researcher Award

Stanford University, United States

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Early Academic Pursuits 🎓

Dr. Maame Yaa Yiadom’s academic journey began at Princeton University, where she earned her undergraduate degree in Public Health Policy and International Affairs, with a certificate in African Studies. This laid a strong foundation for her later research and clinical work in global health. Her commitment to expanding her expertise led her to advanced studies at Johns Hopkins School of Public Health and Harvard School of Public Health, where she obtained her Master of Public Health degree and further honed her focus on health systems and population health. Dr. Yiadom’s academic progression continued with a Doctor of Medicine degree from Robert Wood Johnson Medical School, solidifying her clinical expertise in emergency medicine.

Professional Endeavors & Contributions 🔬

Dr. Yiadom’s career spans over two decades and has seen her contribute in both administrative and clinical roles across multiple health systems. As a physician-scientist, she has focused on translating research into clinical practice through program development, health system optimization, and change management. Her research efforts are centered on improving clinical care delivery, with a particular emphasis on emergency medicine and health equity. She has led pivotal projects involving digital health integration, clinical practice epidemiology, and healthcare innovation, with significant contributions to artificial intelligence and algorithmic equity in health systems.

Throughout her career, she has applied a mix of analytical strategies and leadership to tackle issues like healthcare efficiency, financial sustainability, and clinical effectiveness, particularly in emergency departments across the U.S. and internationally. Her leadership roles in organizations like the Emergency Department Benchmarking Alliance (EDBA) and the Health Equity Action Leadership (HEAL) Network highlight her commitment to advancing healthcare innovation and equity. Additionally, her involvement in research grants and mentorship has further fueled the development of the next generation of health leaders.

Research Focus & Impact 📊

Dr. Yiadom’s research efforts are particularly focused on healthcare delivery operations, clinical workflows, and health equity, with ongoing projects spanning North America, Europe, and Africa. She leads a highly impactful lab, the Emergency Care Health Service Research Data Coordinating Center (HSR-DCC), which aims to improve clinical practice and workflow integration through cutting-edge digital health technologies. Through collaborations with multiple international institutions, Dr. Yiadom has made substantial contributions to improving emergency care systems and advancing equitable healthcare access across diverse populations. Notably, her projects tackle key issues such as algorithmic fairness and clinical decision support using artificial intelligence, particularly in heart attack screening.

Academic Citations & Recognition 📚

As a physician-scientist, Dr. Yiadom has gained recognition in the field for her contributions to research, evidenced by her leadership roles in numerous initiatives and her consistent engagement with funding bodies. Her work has earned citations in major academic journals, cementing her as a key figure in emergency medicine and health system research. Through her collaborations, both national and international, Dr. Yiadom has been integral in publishing impactful work on topics such as clinical data analytics, health policy reform, and healthcare access for underserved populations.

Technical Skills & Teaching Experience 💻

Dr. Yiadom’s technical skills are vast and varied, including expertise in clinical informatics, data analytics, and the integration of digital health tools into clinical environments. Her work in developing data-driven solutions to healthcare challenges has placed her at the forefront of innovative healthcare technologies. In her teaching roles, she has mentored numerous advanced trainees and faculty, providing guidance in research, clinical practice, and leadership development. Her educational impact extends beyond the classroom, as she also actively engages in mentorship programs, ensuring that the next generation of physicians and researchers is equipped to handle the evolving landscape of healthcare.

Legacy & Future Contributions 🔮

Dr. Yiadom’s legacy is rooted in her unwavering commitment to improving healthcare delivery, with a particular focus on emergency care, health equity, and digital health innovation. As she continues to advance research in algorithmic equity and healthcare policy, her work has the potential to significantly influence how emergency departments and other healthcare settings operate globally. Looking forward, Dr. Yiadom is poised to leave an indelible mark on health system transformation, especially through her leadership roles at Stanford University and beyond. Her involvement in cutting-edge initiatives such as the Center for Digital Health and her guidance in the fogarty innovation program ensures that her contributions will continue to shape the future of healthcare.

Teaching & Mentorship 🌱

Dr. Yiadom has demonstrated a strong commitment to mentorship and teaching, shaping future leaders in healthcare. She has mentored faculty members, trainees, and researchers, contributing significantly to academic and clinical environments. Her leadership in various academic programs has helped guide young professionals in their careers, particularly in emergency medicine and healthcare research. The knowledge and skills she imparts will undoubtedly have a long-lasting influence on the medical community.

 

 Top Noted Publications 📖

Influence of time‐to‐diagnosis on time‐to‐percutaneous coronary intervention for emergency department ST‐elevation myocardial infarction patients: Time‐to‐electrocardiogram matters

Authors: Maame Yaa A.B. Yiadom, Wu Gong, Brian W. Patterson, Christopher W. Baugh, Angela M. Mills, Nicholas Gavin, Seth R. Podolsky, Bryn E. Mumma, Mary Tanski, Gilberto Salazar et al.

Journal: JACEP Open

Year: 2024

Stanford Emergency Medicine Partnership Program: a novel approach to streamlining the evaluation and implementation of emerging health technologies through academic-industry partnerships

Authors: John Dayton, Maame Yaa A. B. Yiadom, Sam Shen, Matthew C. Strehlow, Christian Rose, Gabrielle Bunney, Ryan Ribeira

Journal: BMJ Innovations

Year: 2024

2023 Society for Academic Emergency Medicine Consensus Conference on Precision Emergency Medicine: Development of a policy-relevant, patient-centered research agenda

Authors: Matthew Strehlow, Michael A Gisondi, Holly Caretta-Weyer, Felix Ankel, Alexandria Brackett, Pawan Brar, Teresa M Chan, Adrene Garabedian, Bridget Gunn, Eric Isaacs et al.

Journal: Academic Emergency Medicine: Official Journal of the Society for Academic Emergency Medicine

Year: 2024

 Shorter Door-to-ECG Time Is Associated with Improved Mortality in STEMI Patients

Authors: Maame Yaa A. B. Yiadom, Wu Gong, Sean M. Bloos, Gabrielle Bunney, Rana Kabeer, Melissa A. Pasao, Fatima Rodriguez, Christopher W. Baugh, Angela M. Mills, Nicholas Gavin et al.

Journal: Journal of Clinical Medicine

Year: 2024

 Changes in low-acuity patient volume in an emergency department after launching a walk-in clinic

Authors: Divya Kurian, Vandana Sundaram, Anna Graber Naidich, Shreya A Shah, Daniel Ramberger, Saud Khan, Shashank Ravi, Sunny Patel, Ryan Ribeira, Ian Brown et al.

Journal: Journal of the American College of Emergency Physicians Open

Year: 2023

Xibing Xu | Data Science | Best Researcher Award

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Dr. Xibing Xu | Data Science | Best Researcher Award

Shenzhen Medical Academy of Research and Translation, China

Author Profiles

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Early Academic Pursuits 🎓

Dr. Xibing Xu’s academic journey began with a solid foundation in biological sciences, leading to his Master’s degree from Shandong University in 2012. His Master’s thesis focused on the two-component signal transduction systems of Streptomyces hygroscopicus. This foundational research sparked his interest in bacterial biology and set the stage for his doctoral studies at Sichuan University. Dr. Xu’s Ph.D. thesis, completed in 2015, centered on “Protein homeostasis regulation and ubiquitin-like systems in bacteria,” deepening his expertise in bacterial systems and protein regulation.

Professional Endeavors 💼

his Ph.D., Dr. Xu expanded his research horizons by embarking on various international and prestigious roles. In 2017-2018, he was awarded a visiting scholarship by the China Scholarship Council, enabling him to work as a visiting scholar at the Laboratoire de Microbiologie et Génétique Moléculaire (LMGM) in Toulouse, France. This experience enhanced his research capabilities and fostered a deeper understanding of bacterial molecular mechanisms. From 2020 to the present, Dr. Xu has served as a Postdoctoral Fellow at LMGM, where he leads the ANR project M-Tox, which investigates translational control by HigB1 and MenT toxins in Mycobacterium tuberculosis.

Contributions and Research Focus 🔬

Dr. Xu’s research is at the cutting edge of microbiology, focusing on bacterial growth inhibition mechanisms mediated by toxins in toxin-antitoxin systems. Specifically, his work on deleterious tRNA nucleotidyltransferase toxins, like MenT in Mycobacterium tuberculosis, has unveiled novel bacterial mechanisms that regulate translation and protein homeostasis. His research involves exploring the role of tRNA biology in bacterial growth control and the interaction between tRNA and toxin proteins, a focus that has the potential to inform future therapeutic strategies for bacterial infections. His expertise extends to RNA-seq, enzymology, and protein-RNA/DNA interactions, all of which contribute to a deeper understanding of bacterial survival and virulence.

Impact and Influence 🌍

Dr. Xu’s work has far-reaching implications in microbial Microbiologie and therapeutic development. By identifying key mechanisms that control bacterial growth through toxin-antitoxin systems, his research addresses critical challenges in combating drug-resistant bacterial infections. His investigations into tRNA biology have provided insights into how bacteria regulate protein synthesis, which could lead to the development of novel antimicrobial strategies. His innovative research has garnered attention within the scientific community, reflected in invitations to present at major international conferences such as the 29th International tRNA Conference in 2024.

Academic Citations 📚

Dr. Xu’s contributions to the field have not only enhanced scientific knowledge but have also been widely recognized and cited in academic publications. His work on toxin-antitoxin systems and tRNA nucleotidyltransferase toxins has attracted significant attention in the microbiology and biochemistry fields. As his research continues to influence studies on bacterial translation control, his citation index is expected to grow, cementing his reputation as an expert in bacterial growth regulation and antibiotic resistance mechanisms.

Technical Skills 🛠️

Dr. Xu possesses a broad array of technical skills in biochemistry and molecular biology, enabling him to conduct complex experimental research. He is proficient in RNA-seq library design and construction, protein-DNA/RNA interaction analysis, and toxin protein purification and activity assays. Additionally, he has extensive experience in cell-free transcription and translation assays, essential for studying the mechanistic details of translation regulation in bacteria. His technical prowess underpins the success of his innovative research in bacterial biology and protein homeostasis.

Teaching Experience 👨‍🏫

Dr. Xu has a strong track record in teaching and academic supervision. From 2015 to 2020, he taught various courses such as Medical Biology, Medical Genetics, and Medical Cell Biology at Henan University of Science and Technology. His teaching not only involved extensive classroom hours but also practical experimental courses, allowing students to gain hands-on experience in molecular biology techniques. Since 2024, Dr. Xu has been supervising Master’s students at the University Paul Sabatier in Toulouse, mentoring students on projects related to phage peptides and protein homeostasis in bacteria, ensuring the next generation of scientists is equipped with the necessary research skills.

Legacy and Future Contributions 🌟

Dr. Xu’s current and future research promises to continue his legacy of groundbreaking work in microbiology, particularly in the areas of bacterial toxin-antitoxin systems and translation control. As a postdoctoral fellow and researcher at LMGM, he is leading projects that could revolutionize our understanding of bacterial growth regulation, with direct applications in combating drug-resistant Mycobacterium tuberculosis. His ongoing research, mentorship, and commitment to expanding scientific knowledge will ensure that his contributions to the field of microbiology will continue to grow in impact and influence.

 Top Noted Publications 📖

Title: Inducible auto-phosphorylation regulates a widespread family of nucleotidyltransferase toxins

Authors: Tom J. Arrowsmith, Xibing Xu, Shangze, Ben Usher, Peter Stokes, Megan Guest, Agnieszka K. Bronowska, Pierre Genevaux, Tim R. Blower
Journal: Nature Communications
Year: 2024

Title: MenT nucleotidyltransferase toxins extend tRNA acceptor stems and can be inhibited by asymmetrical antitoxin binding

Authors: Xibing Xu, Ben Usher, C. Gutierrez, R. Barriot, T.J. Arrowsmith, X. Han, P. Redder, O. Neyrolles, T.R. Blower, P. Genevaux
Journal: Nature Communications
Year: 2023

Title: Substrate recognition and cryo-EM structure of the ribosome-bound TAC toxin of Mycobacterium tuberculosis

Authors: Moïse, Emmanuel Giudice, Xibing Xu, Hatice Akarsu, Patricia Bordes, Valérie Guillet, Donna-Joe Bigot, Nawel Slama, Gaetano D’Urso, Sophie Chat et al.
Journal: Nature Communications
Year: 2022

Title: ClpXP-mediated Degradation of the TAC Antitoxin is Neutralized by the SecB-like Chaperone in Mycobacterium tuberculosis

Authors: Pauline Texier, Patricia Bordes, Jyotsna Nagpal, Ambre Julie Sala, Moise Mansour, Anne-Marie Cirinesi, Xibing Xu, David Andrew Dougan, Pierre Genevaux
Journal: Journal of Molecular Biology
Year: 2021

Title: The ubiquitin-like modification by ThiS and ThiF in Escherichia coli

Authors: Xibing Xu, Tao Wang, Yulong Niu, Ke Liang, Yi Yang
Journal: International Journal of Biological Macromolecules
Year: 2019

Title: BAH1 an E3 Ligase from Arabidopsis thaliana Stabilizes Heat Shock Factor σ32 of Escherichia coli by Interacting with DnaK/DnaJ Chaperone Team

Authors: Xibing Xu, Ke Liang, Yulong Niu, Yan Shen, Xuedong Wan, Haiyan Li, Yi Yang
Journal: Current Microbiology
Year: 2018

Lucia Grumetto | Predictive Analytics | Best Researcher Award

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Prof. Lucia Grumetto | Predictive Analytics | Best Researcher Award

Università di napoli Dipartimento di Farmacia, Italy

👨‍🎓 Author Profiles

🎓 Academic Foundations and Professional Development

Prof. Lucia Grumetto’s academic path began at the University of Naples Federico II, where she completed dual degrees in Pharmacy and Biological Sciences. Over her extensive career, she gained considerable experience as a Researcher, later advancing to Associate Professor in the same institution. Her qualifications are further reinforced by a Master’s Degree in Food Law (2014), underscoring her ability to integrate scientific knowledge with legal and regulatory expertise, particularly in food safety.

💼 Professional Endeavors and Expertise

Throughout her career, Prof. Grumetto has contributed significantly to both pharmaceutical research and education. Her professional journey spans multiple roles, including Researcher, Professor, and Consultant in the areas of toxicology, pharmacokinetics, and environmental health. She has been actively involved in key research initiatives aimed at understanding the behavior of endocrine disruptors in biological systems, including the human blood-brain barrier and ocular barriers. Her research projects on sustainable drug formulations and environmental monitoring are crucial in addressing both public health and ecological concerns.

🔬 Research Focus and Scientific Contributions

Prof. Grumetto’s research has a broad scope, ranging from drug development to environmental health. She has led investigations into the pharmacokinetics of pharmaceutical compounds, focusing on their absorption, distribution, and metabolism in different biological systems. Her work on the interaction of endocrine disruptors in food and environmental matrices has positioned her as a leading expert in toxicology. Notable projects include the study of pharmaceutical permeation through biological membranes and the development of novel drug delivery systems targeting cancer therapies. Her contributions have been widely recognized through numerous publications, awards, and collaborations with international research networks.

🌍 Impact on Academia and Scientific Communities

Prof. Grumetto has profoundly impacted the scientific community through her research, teaching, and publications. With over 80 peer-reviewed papers and presentations at global conferences, she has shared her expertise in pharmacokinetics, endocrine toxicology, and drug testing. Her work on endocrine disruptors has not only influenced academic research but also shaped policies on environmental safety and public health. Her Most Cited Paper Award from the European Journal of Pharmaceutical Sciences and the Best Poster Award at various symposia are testaments to her influence. Additionally, she serves on the Editorial Boards of several high-impact journals, further contributing to the academic world.

👩‍🏫 Teaching and Pedagogical Innovations

Prof. Grumetto is deeply committed to education, having taught various specialized courses at the University of Naples Federico II. Her courses, such as Quality Control and Food Safety Regulations and Xenobiotic Analysis, are integral parts of the curricula for students pursuing degrees in Nutraceutical Sciences and Pharmaceutical Sciences. Beyond her classroom responsibilities, she has taken on leadership roles in shaping internship programs and curricular development, ensuring students gain hands-on experience and the necessary skills to succeed in their professional careers.

🔧 Technical Expertise and Analytical Innovations

One of Prof. Grumetto’s strengths lies in her technical expertise, particularly in the field of analytical chemistry. Her pioneering work with HPLC, mass spectrometry, and immobilized artificial membranes (IAM) has significantly advanced pharmacokinetic research. She has developed innovative methodologies for studying drug interactions and their bioavailability, especially for substances that cross biological barriers like the blood-brain barrier. These techniques are essential for understanding drug absorption and improving drug delivery systems.

🏆 Recognition, Awards, and Achievements

Prof. Grumetto’s contributions have been recognized with numerous awards and honors. In addition to her Best Poster Awards at international conferences, she received the Most Cited Paper Award from the European Journal of Pharmaceutical Sciences. She holds several patents, including one for a dermatological patch test device to identify allergic reactions to medications. Her innovations have extended beyond the academic realm, influencing practical applications in medicine, environmental monitoring, and sustainability.

🚀 Future Contributions and Vision

Looking ahead, Prof. Grumetto continues to push boundaries in both pharmaceutical research and sustainability. Her current projects, such as FRUIPAD, aim to create biodegradable food packaging from fruit by-products, highlighting her commitment to both environmental sustainability and public health. Her ongoing studies in endocrine disruptors and drug delivery systems hold the potential to influence future healthcare strategies, particularly in personalized medicine and targeted therapies. As she continues to lead innovative projects and collaborate internationally, her future contributions will likely reshape the way pharmaceuticals and environmental health issues are addressed globally.

📖 Top Noted Publications

 The combined use of biological investigations, bio chromatographic and in silico methods to solve the puzzle of badge and its derivative’s toxicity
  • Authors: Ilaria Neri, Marialuisa Piccolo, Giacomo Russo, Maria Grazia Ferraro, Vincenzo Marotta, Rita Santamaria, Lucia Grumetto
    Journal: Chemosphere
    Year: 2024
Phenylalanine Butyramide: A Butyrate Derivative as a Novel Inhibitor of Tyrosinase
  • Authors: Ritamaria Di Lorenzo, Vincenzo Di Lorenzo, Teresa Di Serio, Adua Marzocchi, Lucia Ricci, Eleonora Vardaro, Giovanni Greco, Maria Maisto, Lucia Grumetto, Vincenzo Piccolo et al.
    Journal: International Journal of Molecular Sciences
    Year: 2024
Investigating the Effect of Surface Hydrophilicity on the Destiny of PLGA-Poloxamer Nanoparticles in an In Vivo Animal Model
  • Authors: Teresa Silvestri, Lucia Grumetto, Ilaria Neri, Maria De Falco, Sossio Fabio Graziano, Sara Damiano, Daniela Giaquinto, Lucianna Maruccio, Paolo de Girolamo, Fabrizio Villapiano et al.
    Journal: International Journal of Molecular Sciences
    Year: 2023
Dermocosmetic evaluation of a nutricosmetic formulation based on Curcuma
  • Authors: Ritamaria Di Lorenzo, Lucia Grumetto, Antonia Sacchi, Sonia Laneri, Irene Dini
    Journal: Phytotherapy Research
    Year: 2023
Validation of an LC-MS/MS Method for the Determination of Abscisic Acid Concentration in a Real-World Setting
  • Authors: Elisabetta Schiano, Ilaria Neri, Maria Maisto, Ettore Novellino, Fortuna Iannuzzo, Vincenzo Piccolo, Vincenzo Summa, Lucia Grumetto, Gian Carlo Tenore
    Journal: Foods
    Year: 2023

Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

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Assist Prof Dr. Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

Assist Prof Dr. Ying-Chih Sun at East Central University, United States

👨‍🎓Professional Profiles

📚 Summary

Dr. Ying-Chih Sun is an Assistant Professor of Business Administration – Information Technology Management at East Central University. With a Ph.D. in Information Systems Engineering and Management and a strong academic background in economics, data analytics, and IT management, his research focuses on AI applications in healthcare, telehealth, and supply chain management. He is passionate about integrating business analytics with IT solutions to improve operational efficiencies across industries.

🎓 Education

Dr. Sun holds a Ph.D. in Information Systems Engineering and Management (ISEM) from Harrisburg University of Science and Technology (2023), where he graduated with a perfect 4.0 GPA. He also earned M.S. degrees in Economics from the University at Buffalo (2018) and Texas A&M University (2010), and an M.B.A. in Applied Economics (Summa Cum Laude) from National Taiwan Ocean University (2005). He completed his undergraduate studies in International Trade at Tamkang University (2003).

💼 Professional Experience

Dr. Sun is currently serving as an Assistant Professor at East Central University, teaching courses in Business Economics, Data Analytics, and Cloud Management. Before this, he was an Assistant Professor in Residence at Bradley University (2023-2024), where he contributed to research and teaching in business analytics. He also worked as a Research Assistant at Harrisburg University (2019-2023), conducting research on telehealth and healthcare delivery. Previously, he served as an IT Research Data Analyst at SUNY Buffalo and held roles at the Institute of Economics, Academia Sinica and Tri-Service General Hospital in Taiwan.

📝 Academic Publications & Conferences

Dr. Sun has presented at major conferences like the DSI Conference 2024, AMCIS 2024, and MWAIS 2024. His research papers focus on a range of topics, including telehealth efficiency, AI in healthcare, digital reputation in business schools, and supply chain optimization. His recent work on “Evaluating Telehealth Efficiency” and “Enhancing Judicial Decision-Making with AI” exemplifies his interdisciplinary approach to solving complex business and healthcare challenges.

💻 Technical Skills

Dr. Sun possesses advanced proficiency in data analytics tools like SQL, STATA, and Excel for statistical modeling and large data analysis. He is also familiar with Python and has hands-on experience in cloud management and telehealth technology. His technical skills enable him to approach research from both an analytical and technological perspective, focusing on improving efficiency in healthcare and business operations.

👨‍🏫 Teaching Experience

Dr. Sun has extensive teaching experience, having taught courses at East Central University (2024-present) in Business Economics, Data Analytics, and Cloud Management. He previously taught at Bradley University (2023-2024), covering Business Analytics and Business Analytics Software. Additionally, during his time at SUNY at Buffalo (2015-2018), he served as a Grader and Teaching Assistant for various econometrics courses and contributed to graduate-level teaching in Computational Econometrics.

🔬 Research Interests

Dr. Sun’s primary research interests lie at the intersection of AI, telehealth, and business analytics. He explores how data-driven decision-making can enhance healthcare delivery and operational efficiency, with a focus on telemedicine applications and the use of machine learning for healthcare and business management. His work on optimizing AI investments and supply chain management has important implications for improving cost-effectiveness and decision-making in businesses and healthcare systems.

 

📖 Top Noted Publications

A stochastic production frontier model for evaluating the performance efficiency of artificial intelligence investment worldwide

Authors: Sun, Y.-C., Cosgun, O., Sharman, R., Mulgund, P., Delen, D.
Journal: Decision Analytics Journal
Year: 2024

The impact of policy and technology infrastructure on telehealth utilization

Authors: Sun, Y.-C., Cosgun, O., Sharman, R.
Journal: Health Services Management Research
Year: 2024

The Effect of Varying User Risk Levels on Perceived Social Presence in Mental Health Chatbots

Authors: Thimmanayakanapalya, S.S., Singh, R., Mulgund, P., Sun, Y.-C., Sharman, R.
Conference: 29th Annual Americas Conference on Information Systems (AMCIS 2023)
Year: 2023