Fabrizia Devito | Data Quality Enhancement | Women Researcher Award

Dr. Fabrizia Devito | Data Quality Enhancement | Women Researcher Award 

Dr. Fabrizia Devito , Politecnico di Bari, Italy.

Publication Profile

Orcid
Scopus

Summary 🌍

A passionate researcher in Additive Manufacturing (AM) 🖨️, AI 🤖, and sustainability 🌱. With experience across international academic institutions 🌍, Fabrizia has worked on cutting-edge projects in manufacturing technology ⚙️ and energy systems 🔋, striving to improve production processes and environmental impact 🌎.

Education 🎓

  • Ph.D. Student in Sustainable Development & Climate Change 🌱, Polytechnic of Bari, Italy (2021-2025)
  • Master’s Degree in Management Engineering (Operations Management) ⚙️, Polytechnic of Bari, Italy (2021)
  • Bachelor’s Degree in Management Engineering, Polytechnic of Bari, Italy (2019)
  • Sustainable Development & Climate Change at IUSS-Scuola Universitaria Superiore, Pavia, Italy (2021-2024)

Professional Experience 💼

  • Researcher at Vantia S.r.l. (Spin-Off University of Bari) 🔬, Bari, Italy (2024–Present)
  • Research Assistant at University of Cantabria, Spain 🇪🇸 (2024)
  • Research Assistant at University of Sharjah, UAE 🇦🇪 (2022)
  • Internships at Jaggaer Academy and Fincons S.p.A. 🏢 (2021), and Polytechnic of Bari 🏛️ (2019)

Academic Citations 📚

  • Co-author of research on Additive Manufacturing and sustainable processes at Polytechnic of Bari 📝 (2021-Present)
  • Presentation at IFAC/INSTICC IN4PL 2024 (Porto, Portugal) 🇵🇹 and Global Conference on Sustainable Manufacturing 2023 🌍

Technical Skills 💻

  • Software: AutoCAD 🖥️, Solidworks ⚙️, MATLAB 📊, Python 🐍, Ansys 🏗️, CAE Tools, Rhinoceros 🦏, and more
  • Engineering & Energy Modeling: SimaPro 🌱, OpenLCA ♻️, Zenon, and CYPELUX 🔋
  • Programming: C, C++, Python, Arduino 🖧
  • Simulation & Optimization: Discrete & Continuous Simulation, Finite Element Analysis 🧑‍💻
  • Other Tools: Weka, PostgreSQL, Minitab 📈, RStudio, and more

Teaching & Research Interests On Data Quality Enhancement 🔬

  • Additive Manufacturing 🖨️, AI in Manufacturing 🤖, Sustainable Energy Solutions 🌞
  • Circular Economy ♻️ & Recycling in Additive Manufacturing 🔄
  • Energy System Modeling & Optimization 🔋
  • Machine Learning 📊 applications in Process Optimization

Extracurricular Activities ⚽️

  • Sports: Rowing 🚣‍♀️, Sailing ⛵, Yoga 🧘‍♀️
  • Hobbies: 3D Printing 🖨️, Robotics 🤖, AI 🤖, and Material Engineering 🧪
  • Leadership: Class representative 🗣️ during high school (2015-2016)

Publication Top Notes

Causal technological model for predicting void fraction and energy consumption in material extrusion process of polylactic acid
    • Authors: 🧑‍🔬 Devito, Mazzarisi, Dassisti, Lavecchia
    • Journal: 📚 Journal of Manufacturing Processes
    • Year: 📅 2024
Notch Effect in Acrylonitrile Styrene Acrylate (ASA) Single-Edge-Notch Bending Specimens Manufactured by Fused Filament Fabrication
    • Authors: 🧑‍🔬 Cicero, Devito, Sánchez, Arrieta, Arroyo
    • Journal: 📚 Materials (MDPI)
    • Year: 📅 2024
Business Models and Advanced Additive Manufacturing strategies for better sustainability
    • Authors: 🧑‍🔬 Devito, Copani, Natalicchio, Al-Alami, Lavecchia, Olabi, Dassisti
    • Journal: 📚 Energy Nexus
    • Year: 📅 2024
Advancing Sustainability in Electron and Laser Beam Powder Bed Fusion Technologies via Innovation: Insights from Patent Analysis
    • Authors: 🧑‍🔬 Devito, Natalicchio, Lavecchia, Dassisti
    • Journal: 📚 Computers & Industrial Engineering
    • Year: 📅 2024
In-process detection of defects on parts produced by laser metal deposition using off-axis optical monitoring
    • Authors: 🧑‍🔬 Mazzarisi, Guerra, Latte, Devito, Galantucci, Campanelli, Lavecchia, Dassisti
    • Journal: 📚 International Journal of Advanced Manufacturing Technology
    • Year: 📅 2023
Recent developments of Additive Manufacturing for circular economy
    • Authors: 🧑‍🔬 Devito, Al-Alami, Olabi, Lavecchia, Dassisti
    • Journal: 📚 Journal of Cleaner Production
    • Year: 📅 2024

JunYun Zhang | Data Quality | Best Researcher Award

Dr. JunYun Zhang l Data Quality | Best Researcher Award

Peking University, China

Author Profile

Scopus

👨‍🔬 Dr. JunYun Zhang – Academic Profile

Dr. JunYun Zhang is an Associate Professor at the School of Psychological and Cognitive Sciences at Peking University, China. He has been a key figure in the academic world since 2012, holding various positions, including Assistant Professor at Peking University and a visiting scholar/postdoc at the University of California, Berkeley. His diverse career also includes a lecturer role at the Institute of Cognitive Neuroscience & Learning, Beijing Normal University.

🎓 Educational Background

Dr. Zhang completed his Ph.D. in Neurobiology from the Institute of Neuroscience, Chinese Academy of Sciences, where he worked under the mentorship of Cong Yu. His academic journey began with a B.S. in Special Education from East China Normal University, laying the foundation for his future research in cognitive sciences.

🧠 Research Interests

His primary research areas encompass visual perception and cognition, as well as learning and memory. Notably, Dr. Zhang explores topics such as perceptual learning, amblyopia (a visual disorder), and visual crowding, where he investigates how the brain processes and learns visual stimuli, even in challenging conditions.

💡 Research Grants

Dr. Zhang has received several prestigious grants, including significant funding from the Natural Science Foundation of China for projects spanning 2024 to 2027, 2020 to 2023, and earlier years. These grants support his ongoing research into visual perception and learning mechanisms.

🎤 Conference Presentations & Moderation

Dr. Zhang has actively contributed to numerous conferences, where he not only presents his work but also moderates sessions. He has been a part of invited symposia and workshops worldwide, including events in Geneva, Switzerland, and Nara, Japan. His conference talks span high-profile events such as the Vision Science Society and European Conference on Visual Perception.

⚙️ Professional Activities

Dr. Zhang plays a vital role in the academic community through editorial duties. He is an Associate Editor for Frontiers in Psychology – Consciousness Research and reviews for multiple prestigious journals like Vision Research and PLOS One. He is a member of renowned organizations such as the Vision Sciences Society and the Society for Neuroscience.

📚 Teaching Contributions

Dr. Zhang’s commitment to education is evident through his involvement in both undergraduate and graduate courses. He teaches a variety of subjects, including Vision & Visual Arts, Experimental Psychology, and Perceptual Learning, and has developed specialized graduate courses on research methods and perceptual processing. His passion for cognitive sciences and his experience continue to inspire future generations of researchers.

Dr. Zhang is a dedicated scholar, deeply engaged in both research and teaching, with a significant impact in the fields of visual perception and cognitive neuroscience. 🌍

📖 Top Noted Publications 

Feature variability determines specificity and transfer in multiorientation feature detection learning

Authors: Zhu, J.-P., Zhang, J.-Y.
Journal: Journal of Vision
Year: 2024

Contour integration deficits at high spatial frequencies in children treated for anisometropic amblyopia

Authors: Jiang, S.-Q., Chen, Y.-R., Liu, X.-Y., Zhang, J.-Y.
Journal: Frontiers in Neuroscience
Year: 2023

The impact of training on the inner–outer asymmetry in crowding

Authors: Chen, Y.-R., Zhang, Y.-W., Zhang, J.-Y.
Journal: Journal of Vision
Year: 2023

Dichoptic perceptual training in children with amblyopia with or without patching history

Authors: Liu, X.-Y., Zhang, Y.-W., Gao, F., Chen, F., Zhang, J.-Y.
Journal: Investigative Ophthalmology and Visual Science
Year: 2021

Dichoptic de-masking learning in adults with amblyopia and its mechanisms

Authors: Liu, X.-Y., Zhang, J.-Y.
Journal: Investigative Ophthalmology and Visual Science
Year: 2019

Vernier learning with short- and long-staircase training and its transfer to a new location with double training

Authors: Zhang, J.-Y., Yu, C.
Journal: Journal of Vision
Year: 2018

Maame Yaa Yiadom | Data collection | Women Researcher Award

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

Stanford University, United States

Author Profile

Orcid

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