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.

Pengfei Ji | Artificial Neural Networks | Best Researcher Award

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Dr. Pengfei Ji | Artificial Neural Networks | Best Researcher Award

Chief Technician at Cancer Hospital of Dalian University of Technology, Shenyang, China

Dr. Pengfei Ji is currently serving as the Chief Technician at the Cancer Hospital of Dalian University of Technology (also referred to as Liaoning Cancer Hospital). With a strong background in medical sciences and radiotherapy, Dr. Ji has focused his professional career on advancing cancer diagnosis and treatment, particularly through the integration of Artificial Intelligence (AI) technologies. His research includes AI-based methods for tumor diagnosis, personalized treatment planning, and prognosis prediction, contributing significantly to the development of precision oncology in China.

Publication Profile 

Scopus

Educational Background 🎓

  • Institution: Dalian Medical University, China

  • Degree: Master’s Degree in Medical Sciences

  • Specialization: Cancer Radiotherapy and AI Applications in Oncology

Professional Experience 💼

  • Current Designation: Chief Technician

  • Institution: Cancer Hospital of Dalian University of Technology / Liaoning Cancer Institute

  • Key Roles:

    • Oversight of technical operations in cancer radiotherapy

    • Implementation and optimization of AI-assisted diagnostic protocols

    • Research and development in personalized cancer therapy systems

    • Supervision of collaborative clinical studies and trials

Research Interests 🔬

  • Artificial Intelligence in Medical Imaging and Oncology

  • Tumor Diagnosis and Prognosis Prediction

  • Radiotherapy Techniques and Planning

  • Predictive Modeling and Clinical Decision Support Systems

  • AI-based Clinical Workflow Optimization

  • Multi-modal Cancer Data Integration

Awards and Honors🏆✨

  • Recognized for contributions in AI-integrated Cancer Research

  • Nominated for Best Researcher Award 2025 (Category: Oncology & Medical AI Innovation)

  • Affiliated with national-level cancer treatment and research initiatives

Conclusion🌟

Dr. Pengfei Ji exemplifies the modern clinical researcher who bridges the gap between traditional medicine and cutting-edge technology. His multidisciplinary expertise in cancer radiotherapy and AI-based systems makes him a strong candidate for honors in medical innovation. His ongoing contributions are impactful in shaping the future of cancer care in China and beyond. With continuous advancements and strong institutional backing, Dr. Ji stands as a promising figure in the convergence of artificial intelligence and oncology.

Publications 📚

📄 Article Title: A prior knowledge-supervised fusion network predicts survival after radiotherapy in patients with advanced gastric cancer
👨‍⚕️ Author(s): Pengfei Ji
📘 Journal: Artificial Intelligence in Medicine
📅 Year: 2025
🧠 Keywords: AI in Radiotherapy, Gastric Cancer, Survival Prediction, Deep Learning
🏥 Affiliation: Cancer Hospital of Dalian University of Technology