Milena Belloni – Urban policies – Best Researcher Award

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Milena Belloni - Urban policies - Best Researcher Award

University of Antwerp - Belgium

AUTHOR PROFILE

SCOPUS

MILENA BELLONI RESEARCH FIELDS

Milena Belloni is an expert in migration and refugee studies, focusing on ethnography, European asylum policies, transnationalism, gender and migration, and migration-related diversity within urban contexts. Her research encompasses migration dynamics, particularly related to the Horn of Africa.

MAIN PROFESSIONAL ACKNOWLEDGMENTS

Dr. Belloni has received significant accolades for her work, including an Honorable Mention for her book The Big Gamble: The Migration of Eritreans to Europe (UC Press, 2019) at the 2021 RC31 Book Award, as well as a 2021 ENMISA Honorable Mention for the Best Book in ethnicity, nationalism, and migration studies. She also received the IMISCOE Maria Baganha Doctoral Award for Migration Studies in 2016.

GRANTS, SCHOLARSHIPS, AND AWARDS

Dr. Belloni has been awarded numerous grants and scholarships throughout her career, including the FWO Postdoctoral Fellowship for Social Sciences (2020-2023), the American Academy in Rome - Italian Fellowship in Modern Italian Studies (2016), and the University of Trento Doctoral Dissertation Award (2015-2016). She was also a recipient of various doctoral scholarships, including a Doctoral Scholarship with the University of Trento.

SUPERVISION OF DOCTORAL STUDENTS

Dr. Belloni has been actively supervising doctoral students since 2021, with projects focusing on various aspects of migration and refugee governance. Current PhD candidates include Giovanni Penna, Woldegebriel Dagne, Roos Derrix, and others, addressing topics such as EU border externalization and refugee family integration.

TEACHING ASSIGNMENTS

Dr. Belloni has held lecturer positions at the University of Antwerp and the University of Trento, teaching courses in Anthropology, Migration and Development, and Qualitative Research Methods at both undergraduate and master's levels.

NOTABLE PUBLICATION

Title: Once We Relax, the Door of Trauma Is Open: Aaron’s Life Story
Author: Belloni, M.
Book: Finding Home in Europe: Chronicles of Global Migrants
Year: 2023

Title: Uneven Borders: Family Reunification Regulations and Their Implications in Europe
Authors: Bonizzoni, P., Belloni, M.
Book: Handbooks of Sociology and Social Research
Year: 2023

Title: Accumulated Homelessness: Analysing Protracted Displacement along Eritreans' Life Histories
Authors: Belloni, M., Massa, A.
Journal: Journal of Refugee Studies
Year: 2022

Title: The Right to Exit as National and Transnational Governance: The Case of Eritrea
Authors: Belloni, M., Cole, G.
Journal: International Migration
Year: 2022

Title: Much More Than Just Money: Investigating Remittances Across Time and Place in the Eritrean Context
Authors: Belloni, M., Fusari, V., Massa, A.
Journal: Modern Africa
Year: 2022

Fang Yang – Transportation Engineering – Best Researcher Award

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Fang Yang - Transportation Engineering - Best Researcher Award

Kunming University of Science and Technology - China

AUTHOR PROFILE

SCOPUS

EXPERT IN ELECTRIC VEHICLE CHARGING SAFETY

Fang Yang is a leading researcher in the field of electric vehicle technology, with a focus on enhancing the safety and efficiency of electric bike charging systems. His work explores innovative methods for detecting charging anomalies and promoting safe charging practices through advanced data analysis and machine learning techniques.

PROLIFIC AUTHOR IN ENGINEERING AND TRANSPORTATION

Fang has contributed significantly to academic literature with several high-impact publications. Notably, his paper on electric bike charging anomaly detection was published in Engineering Applications of Artificial Intelligence, highlighting his expertise in big data applications for transportation systems.

MAJOR PROJECT CONTRIBUTOR

Fang has played a pivotal role in various major projects, including evaluating traffic impacts and organizing traffic during the construction of Guiyang Rail Transit Line S2. His contributions extend to optimizing safety operations for new energy vehicle charging piles and researching big data public services for Kunming mobile signaling.

ADVANCING MACHINE LEARNING IN TRANSPORTATION

His research also includes leveraging machine learning to enhance the safety of electric bicycle charging systems. His work in this area has been featured in iScience, reflecting his commitment to applying cutting-edge technology to real-world transportation challenges.

RESEARCH IN URBAN RAIL TRANSIT DEMANDS

Fang's research extends to the predictability of passenger demands in urban rail transit. His study, published in Transportation, delves into short-term predictions for passenger origins and destinations, showcasing his expertise in optimizing urban transit systems.

FOCUS ON DATA-DRIVEN FORECASTING

His paper on battery swapping demands for electric bicycles, published in the Journal of Transportation Systems Engineering and Information Technology, underscores his proficiency in data-driven forecasting and its applications in improving transportation infrastructure.

DIVERSE RESEARCH EXPERIENCE

With extensive experience across multiple research projects, Fang Yang's work spans from safety analysis of new energy vehicle infrastructure to public service optimization using big data. His diverse expertise reflects a broad commitment to advancing transportation systems through innovative research.

NOTABLE PUBLICATION

Predictability of Short-Term Passengers’ Origin and Destination Demands in Urban Rail Transit.
Authors: F. Yang, C. Shuai, Q. Qian, M. He, J. Lee
Year: 2023
Journal: Transportation, 50(6), pp. 2375–2401

Online Car-Hailing Origin-Destination Forecast Based on a Temporal Graph Convolutional Network.
Authors: C. Shuai, X. Zhang, Y. Wang, F. Yang, G. Xu
Year: 2023
Journal: IEEE Intelligent Transportation Systems Magazine, 15(4), pp. 121–136

Intelligent Diagnosis of Abnormal Charging for Electric Bicycles Based on Improved Dynamic Time Warping.
Authors: C. Shuai, Y. Sun, X. Zhang, X. Ouyang, Z. Chen
Year: 2023
Journal: IEEE Transactions on Industrial Electronics, 70(7), pp. 7280–7289

Promoting Charging Safety of Electric Bicycles via Machine Learning.
Authors: C. Shuai, F. Yang, W. Wang, Z. Chen, X. Ouyang
Year: 2023
Journal: iScience, 26(1), 105786

Battery Swapping Demands Forecast for Electric Bicycles Based on Data-Driven.
Authors: C.-Y. Shuai, F. Yang, X. Ouyang, G. Xu
Year: 2021
Journal: Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 21(2), pp. 173–179