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

Dr. Fabrizia Devito , Politecnico di Bari, Italy.

Publication Profile

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

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

Fabrizia Devito | Data Quality Enhancement | Women Researcher Award