Mitra Salimi | Graph Data | Research Excellence Award

Ms. Mitra Salimi | Graph DataResearch Excellence Award

University of Jyväskylä | Finland

Mitra Salimi is a marketing researcher specializing in consumer behavior, brand management, and business sustainability, with a strong focus on bridging academic insights and real-world impact. Her research explores artificial intelligence in sustainable marketing, brand crisis communication, social media dynamics, and biodiversity-respectful consumption. She also serves as a data analyst in the interdisciplinary BIODIFUL project, funded by the Academy of Finland, which examines the role of leadership in advancing sustainability and planetary well-being. Through her work, she aims to generate actionable insights that help organizations understand evolving customer expectations, respond to emerging market trends, and adopt more sustainable and responsible business practices.

Profiles: Google Scholar

Featured Publications

"Towards consumer behavior that prevents nature loss - How do risk perception and perception of the effectiveness of actions promote consumer action?", H Rouhiainen, MM Salimi, O Uusitalo, Kulutustutkimus. Nyt 18 (1-2), 2024.

"Artificial intelligence-assisted sustainable marketing: Contribution and agenda for research", J Do, O Uusitalo, M Skippari, M Salimi, Proceedings of the European Marketing Academy, 2023.

"Consumption and planetary well-being", J Do, M Salimi, S Baumeister, M Sarja, O Uusitalo, TA Wilska, Interdisciplinary perspectives on planetary well-being, 2023.

"To Forgive or Not? Consumers’ Responses to Brand Transgression", M Salimi, O Uusitalo, O Niininen, J Munnukka, American Marketing Association, 2023.

"Greenwashing and Social Media: An Examination of Consumer Responses on Twitter", M Salimi, F Tuscolano, O Niininen, O Uusitalo, Academy of Marketing Science.

Jiyoon Lee | Graph Data | Best Researcher Award

Ms. Jiyoon Lee | Graph Data | Best Researcher Award

Ewha Womans University | South Korea

Ms. Jiyoon Lee is a doctoral researcher in Big Data Analytics at Ewha Womans University, Seoul, Korea, with expertise in graph data structures, algorithms, and GeoAI applications. Her research explores urban mobility, safety, and congestion management through advanced spatiotemporal modeling. She has presented her work at major conferences, including SIGSPATIAL 2025, where she introduced a novel GraphLSTM-Attn framework for modeling stopped vehicle dynamics on urban backstreets, and Asiacarto 2024, where she proposed a CCTV-based trajectory algorithm for road congestion and alleyway safety. Her scholarly contributions include multiple publications in the ISPRS International Journal of Geo-Information, such as studies on pedestrian congestion and safety in urban alleyways and the development of PGTFT, a lightweight graph-attention temporal fusion transformer for predicting pedestrian congestion in shadow areas. Through her innovative research at the intersection of graph data and GeoAI, she continues to advance data-driven solutions for safer and more efficient urban environments.

Profiles: Orcid ID

Featured Publications

"PGTFT: A Lightweight Graph-Attention Temporal Fusion Transformer for Predicting Pedestrian Congestion in Shadow Areas"

"Correction: Lee, J.; Kang, Y. A Dynamic Algorithm for Measuring Pedestrian Congestion and Safety in Urban Alleyways. ISPRS Int. J. Geo-Inf. 2024, 13, 434"

"A Dynamic Algorithm for Measuring Pedestrian Congestion and Safety in Urban Alleyways"