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

Samprit Banerjee | Data Cleaning | Excellence in Research

Assoc Prof Dr. Samprit Banerjee | Data Cleaning | Excellence in Research

Weill Medical College of Cornell University | United States

Author Profile

Orcid

Google Scholar

📍 Current Academic Appointment

Dr. Samprit Banerjee is currently an Associate Professor in the Division of Biostatistics at Weill Medical College, Cornell University since January 2020. In May 2023, he also became an Associate Professor of Biostatistics in the Department of Psychiatry at the same institution.

📝 Articles in Preparation

Dr. Banerjee is preparing several significant research articles, including one on predicting adherence to psychotherapy homework using mHealth data. Another focuses on a functional data analysis framework for analyzing mobile health data, while a third article explores clustering functional data with applications to mHealth data.

🩺 Extramural Professional Activities

Dr. Banerjee has contributed to multiple FDA advisory panels, including the Neurological Devices Panel in 2023 and the Patient Engagement Advisory Committee in 2021. He is also a standing member of the Effectiveness of Mental Health Interventions (EMHI) Study Section of NIMH from 2022-2025 and has been involved in scientific review groups for NIMH.

👨‍🏫 Past Positions Held

Dr. Banerjee served as the Founding Director of the PhD Program in Population Health Sciences at Weill Cornell from 2020-2024. Additionally, he was the Founding Director of the MS Program in Biostatistics & Data Science from 2016 to 2020.

🎓 Educational Background

Dr. Banerjee holds a Ph.D. in Biostatistics from the University of Alabama at Birmingham (2008), following his M.Stat and B.Stat degrees from the Indian Statistical Institute in Kolkata, India.

🧑‍🏫 Teaching & Mentorship

Dr. Banerjee is actively involved in teaching, including directing courses like Big Data in Medicine for the MS program in Biostatistics. He mentors post-doctoral associates and junior researchers, including Younghoon Kim, PhD, and Soohyun Kim, PhD, in areas of mHealth data modeling and deep learning in psychiatry.

📑 Administrative Activities On Data Cleaning

Dr. Banerjee contributes to Weill Cornell Medical College’s PhD Director’s Committee and co-chairs the Diversity, Equity, and Inclusion sub-committee of the General Faculty Council.

🛡️ Special Government Employment

Since 2014, Dr. Banerjee has served as a Special Government Employee at the FDA’s Center for Devices and Radiological Health (CDRH).

📊 Professional Affiliations

Dr. Banerjee is an elected Council of Sections Representative for the Mental Health Statistics Section of the American Statistical Association (ASA).

📑 Notable Publications 

Examining Healthy Lifestyles as a Mediator of the Association Between Socially Determined Vulnerabilities and Incident Heart Failure
    • Authors: Nickpreet Singh, Chanel Jonas, Laura C. Pinheiro, Jennifer D. Lau, Jinhong Cui, Leann Long, Samprit Banerjee, Raegan W. Durant, Madeline R. Sterling, James M. Shikany et al.
    • Journal: Circulation: Cardiovascular Quality and Outcomes
    • Year: 2025
Effects of Geography on Risk for Future Suicidal Ideation and Attempts Among Children and Youth
    • Authors: Wenna Xi, Samprit Banerjee, Bonnie T. Zima, George S. Alexopoulos, Mark Olfson, Yunyu Xiao, Jyotishman Pathak
    • Journal: JAACAP Open
    • Year: 2023
Relation of a Simple Cardiac Co-Morbidity Count and Cardiovascular Readmission After a Heart Failure Hospitalization
    • Authors: Aayush Visaria, Lauren Balkan, Laura C. Pinheiro, Joanna Bryan, Samprit Banerjee, Madeline R. Sterling, Udhay Krishnan, Evelyn M. Horn, Monika M. Safford, Parag Goyal
    • Journal: The American Journal of Cardiology
    • Year: 2020
Examining Timeliness of Total Knee Replacement Among Patients with Knee Osteoarthritis in the U.S.
    • Authors: H.M.K. Ghomrawi, A.I. Mushlin, R. Kang, S. Banerjee, J.A. Singh, L. Sharma, C. Flink, M. Nevitt, T. Neogi, D.L. Riddle
    • Journal: Journal of Bone and Joint Surgery
    • Year: 2020
Race and prostate imaging: implications for targeted biopsy and image-based prostate cancer interventions
    • Authors: Michael D Gross, Bashir Al Hussein Al Awamlh, Jonathan E Shoag, Elizabeth Mauer, Samprit Banerjee, Daniel J Margolis, Juan M Mosquera, Ann S Hamilton, Maria J Schumura, Jim C Hu
    • Journal: BMJ Surgery, Interventions, & Health Technologies
    • Year: 2019
Long-term active surveillance of implantable medical devices: an analysis of factors determining whether current registries are adequate to expose safety and efficacy problems
    • Authors: Samprit Banerjee, Bruce Campbell, Josh Rising, Allan Coukell, Art Sedrakyan
    • Journal: BMJ Surgery, Interventions, & Health Technologies
    • Year: 2019

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