Martha Jimenez Martinez | Graph Theory | Best Research Article Award

Published on by Network Science

Dr. Martha Jimenez Martinez | Graph Theory | Best Research Article Award

Pedagogical and Technological University of Colombia | Colombia

Dr. Martha Jimenez Martinez is a distinguished clinical psychologist and academic with extensive experience in research, teaching, and program development. She began her professional career at the Foundation for Family and Community Strengthening as a Clinical Psychologist from 1998 to 2000. Since 2001, she has served as a Full Professor at the Pedagogical and Technological University of Colombia in the School of Psychology, specializing in Clinical Psychology and Basic Psychological Processes. Her leadership roles include Director of the Research Center (2009–2010), Director of the School of Psychology (2010–2012), and designer and coordinator of the Diploma in Training of Early Childhood Educational Agents (2011). She also formulated and coordinated the Comprehensive Early Childhood Care Program in collaboration with the Colombian Ministry of National Education (2010–2012) and leads the research group Psychological Measurement and Evaluation in Basic and Applied Contexts. A Senior Researcher in the latest Colciencias 2024 classification, she is an active member of the International Sex Survey Consortium since 2020. Dr. Martinez holds a Psychology degree from the Catholic University of Colombia, a Master’s in Behavior Therapy from UNED, Madrid, an IT and Multimedia specialization from Los Libertadores University Foundation, and a PhD in Applied Cognitive Neuroscience from Maimonides University, Argentina. She is currently pursuing postdoctoral studies in Social Sciences, Childhood, and Youth, and has completed international training, including a scholarship from Israel on “Children at Risk in Early Childhood” and an English immersion course at the University of Saint Thomas, USA. She is also the recipient of the prestigious Orchids Women in Science Scholarship 2024–2025 from the Colombian Ministry of Science and Technology.

Profiles: Scopus

Featured Publications

"Cross-cultural Validation of the Arizona Sexual Experience Scale (ASEX) in 42 Countries and 26 Languages", Martha Jimenez Martinez, Sexuality Research and Social Policy, 2025.

"Evaluating the factor structure and measurement invariance of the 20-item short version of the UPPS-P Impulsive Behavior Scale across multiple countries, languages, and gender identities", Martha Jimenez Martinez, Assessment, 2025

Kexue Sun | Graph Data Structures | Best Researcher Award 

Published on by Network Science

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"

Jiyoon Lee | Graph Data | Best Researcher Award

Published on by Network Science

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"