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.

Kexue Sun | Graph Data Structures | Best Researcher Award 

Prof. Kexue Sun | Graph Data Structures | Best Researcher Award 

Nanjing University of Posts and Communications | China

Prof. Kexue Sun is a distinguished Professor at the School of Electronic and Optical Engineering and the School of Flexible Electronics (Future Technologies), Nanjing University of Posts and Telecommunications (NJUPT). He earned his Ph.D. in Acoustics from the School of Physics, Nanjing University (2012–2018), an M.E. in Software Engineering from the Beijing University of Posts and Telecommunications (2004–2006), and a B.E. in Electronic Information Engineering from the Artillery Academy of the Chinese People's Liberation Army, Hefei (1998–2002). Prof. Sun has served NJUPT in various academic roles, including Lecturer (2007–2013), Associate Professor (2013–2020), and currently as Professor since 2020, with international experience as a Visiting Scholar at the Chinese University of Hong Kong (2018–2019). He is an active member of IEEE, a technical expert for high-tech enterprises in Jiangsu Province, and a review expert for the Degree and Graduate Education Development Center of the Ministry of Education, while also serving on the Specialized Committee on Biomedical Information Detection and Processing of the Jiangsu Society of Biomedical Engineering. His research spans Electronic Technology, FPGA Applications, Electrical and Electronic Experiments, Optoelectronic Information Materials, and Acoustic Devices. Prof. Sun has participated in over ten national and enterprise research projects, co-authored one monograph and seven textbooks, published more than 100 academic papers, and holds over 20 authorized Chinese invention patents. Additionally, he has made significant contributions to higher education research and teaching reform, leading more than ten national and provincial projects, publishing over 20 papers in this field, and earning prestigious honors such as the Teaching Model Award, the First Prize for Teaching Achievements at NJUPT, and the Special Prize for Teaching Achievements of Jiangsu Province.

Profiles: Orcid ID

Featured Publications

"Pressure Vessel Design Problem Using Improved Gray Wolf Optimizer Based on Cauchy Distribution"

"Heart Sound Classification Network Based on Convolution and Transformer"

"Optimization of Indoor Luminaire Layout for General Lighting Scheme Using Improved Particle Swarm Optimization"