Nicola Chinchella | Active Inference | Best Researcher Award

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Mr. Nicola Chinchella | Active Inference | Best Researcher Award

PhD at University of Bologna | Italy

Nicola Chinchella is a PhD candidate in Cognitive Science and Psychology at the University of Bologna, specializing in cognitive modeling, advanced data analysis, and neuroimaging. His research focuses on understanding moral perception, emotional reactivity, and cognitive processes in digital and therapeutic contexts. He has co-authored several works, including studies on moral desensitization through social media exposure, virtual reality applications in cognitive behavioral therapy, and the perceptual aspects of depersonalization. Nicola previously worked as a Scientific Editor for the Charité NeuroScience Newsletter in Berlin and as a Laboratory Assistant Manager at Technische Universität Berlin, where he honed his skills in research coordination, academic writing, and team collaboration. He earned his master’s degree in Cognitive Science and Psychology from Humboldt Universität zu Berlin and a bachelor’s degree in Philosophy from the University of Florence, combining philosophical inquiry with empirical methods in psychology. His technical expertise covers computational modeling, statistics, machine learning, and deep learning, using tools such as R, Python, Matlab, and PyTorch. Nicola is known for his strong communication and project management skills, along with his commitment to interdisciplinary research and innovation. He is proficient in Italian and English, with working knowledge of German and Spanish. According to Google Scholar, his work has received 13 citations, with an h-index of 2, reflecting his growing influence and contributions to the field of cognitive and psychological sciences.

Profile: Google Scholar

Featured Publications

Ferroni, F., Arcuri, E., Ardizzi, M., Chinchella, N., Gallese, V., & Ciaunica, A. (2025). Lost in time and space? Multisensory processing of peripersonal space and time perception in people with frequent experiences of depersonalisation. Quarterly Journal of Experimental Psychology, 78(6), 1177–1194.
Cited by: 7

Chinchella, N., & Hipólito, I. (2023). Substance addiction: Cure or care? Phenomenology and the Cognitive Sciences, 1–20.
Cited by: 6

Chinchella, N., & White, B. (2025). Enacting recovery: Virtual reality, active inference, and cognitive behavioural therapy for depression. Philosophical Psychology, 1–36.

Ferroni, F., Arcuri, E., Ardizzi, M., Chinchella, N., Gallese, V., & Ciaunica, A. (2023). Lost in time and space? Multisensory processing of peripersonal space and time perception in depersonalisation. PsyArXiv.

Xiao Wang | Embodied Intelligence | Best Researcher Award

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Prof. Dr. Xiao Wang | Embodied Intelligence | Best Researcher Award

Professor at Anhui University, China

Xiao Wang, a Senior Member of IEEE, is a distinguished researcher and educator specializing in intelligent transportation and cognitive computing. She has made remarkable contributions through her leadership in the development of advanced technologies for autonomous systems. With her work cited extensively (h-index: 33) and recognition as one of the “Top 2% of the World’s Most Influential Scientists” for two consecutive years, Prof. Wang combines technical expertise and academic excellence. Her dedication to innovation continues to shape the future of intelligent transportation systems and autonomous vehicle technologies. 🌟📚🤖

Publication Profile : 

Scopus

Education 🎓

Xiao Wang earned her B.E. degree in Network Engineering from Dalian University of Technology in 2011. She later pursued advanced studies in Social Computing, obtaining both her M.E. and Ph.D. degrees from the University of Chinese Academy of Sciences in 2016.

Professional Experience💼

Prof. Xiao Wang is currently a Professor at the School of Artificial Intelligence, Anhui University, and serves as the Director of the Anhui Province Engineering Research Center for Unmanned Systems and Intelligent Technology. She has spearheaded over ten research and industry projects focusing on areas such as autonomous driving, multimodal data fusion, and traffic accident prediction, collaborating with leading institutions and companies. With a prolific academic career, Prof. Wang has published more than 40 high-impact SCI papers in the past five years and holds 22 granted invention patents. Her editorial roles include Associate Editor of the IEEE Intelligent Vehicles Symposium, Column Editor of IEEE Intelligent Systems Magazine, and other notable journal appointments. She is a Senior Member of IEEE, CAA, and a Board Member of the IEEE Intelligent Transportation Systems Society. 🌐📊🚗

Research Interests 🔬

Prof. Wang’s research interests span social computing, autonomous driving, group behavior modeling, knowledge automation, parallel intelligence, and DAO-based computational social systems.

Publications Top Notes 📚

  1. Wang, X., Wang, Y., Yang, J., …, Ding, W., Wang, F.-Y. (2024). “The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0.” Information Fusion, 107, 102321.
  2. Wang, X., Huang, J., Ni, Q., …, Stapleton, L., Wang, F.-Y. (2024). “Society 5.0: Metaverse Facilitated Human-centric 5H Services Across Cyber-Physical-Social Spaces.” IFAC-PapersOnLine, 58(3), 159–164.
  3. Wang, X., Huang, J., Yang, J., Wang, X., Wang, F.-Y. (2024). “Prescriptive Manufacturing in Society 5.0: Human Autonomous Organizations and on-Demand Smart Services.” IFAC-PapersOnLine, 58(3), 139–144.
  4. Cao, Y., Wang, Y., Wang, J., …, Wang, X., Wang, F.-Y. (2024). “Parameter Identification and Refinement for Parallel PCB Inspection in Cyber-Physical-Social Systems.” IEEE Transactions on Computational Social Systems, 11(3), 3978–3987.
  5. Xue, X., Yu, X., Zhou, D., …, Wang, S., Wang, F.-Y. (2024). “Computational Experiments for Complex Social Systems: Integrated Design of Experiment System.” IEEE/CAA Journal of Automatica Sinica, 11(5), 1175–1189.
  6. Liang, X., Ding, W., Qin, R., …, Wang, X., Wang, F.-Y. (2024). “From cadCAD to casCAD2: A Mechanism Validation and Verification System for Decentralized Autonomous Organizations Based on Parallel Intelligence.” IEEE Transactions on Computational Social Systems, 11(2), 2853–2862.
  7. Xue, X., Yu, X., Zhou, D., …, Liu, D., Wang, F.-Y. (2024). “Computational Experiments for Complex Social Systems – Part III: The Docking of Domain Models.” IEEE Transactions on Computational Social Systems, 11(2), 1766–1780.
  8. Wang, X., Zhang, X.-Y., Zhou, R., …, Chen, L., Sun, C.-Y. (2024). “An Intelligent Architecture for Cognitive Autonomous Driving Based on Parallel Testing.” Zidonghua Xuebao/Acta Automatica Sinica, 50(2), 356–371.
  9. Wang, X., Tang, K., Dai, X., …, Wang, Y., Gu, W. (2024). “S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles.” IEEE Transactions on Intelligent Vehicles, 9(2), 3220–3231.
  10. Tian, Y., Zhang, X., Wang, X., …, Gu, W., Ding, W. (2024). “ACF-Net: Asymmetric Cascade Fusion for 3D Detection with LiDAR Point Clouds and Images.” IEEE Transactions on Intelligent Vehicles, 9(2), 3360–3371.