Ferdinando di martino | Computational Methods | Computational Science Excellence Award

Prof. Ferdinando di martino | Computational Methods | Computational Science Excellence Award

Associate professor at Federico II University of Naples, Italy

Ferdinando Di Martino is an associate professor of computer science at Federico II University of Naples, specializing in fuzzy-based models and computational intelligence for data and image analysis. He has authored over one hundred research papers published in international journals and holds editorial roles in leading academic publications. Di Martino is a member of EUSFLAT and actively contributes to its Research Working Group on soft computing in image processing. He directs a specialization course on advanced spatial analysis in GIS for urban and complex systems and manages research projects funded by Italian and European bodies, focusing on AI applications in managing environmental and climate risks.

Professional Profiles

Associate Professor of Computer Science

Ferdinando Di Martino serves as an associate professor of computer science at the Department of Architecture of the Federico II University of Naples.

Academic Leadership

Di Martino contributes significantly to academic programs and research initiatives: Member of the Italian national doctoral college in Artificial Intelligence within the agricultural-environmental sector. Director of the specialization course on advanced spatial analysis technologies in Geographical Information Systems (GIS) for urban systems and complex systems management.

Project Management

He leads research groups and tasks in both Italian and European funded projects. His projects focus on applying artificial intelligence and computational intelligence techniques to manage urban and complex systems, particularly in addressing environmental and climate-related risks.

Research Focuse

Ferdinando Di Martino’s research focuses on the application of fuzzy transforms and computational intelligence in image and data analysis. He has contributed extensively to methods for image coding and decoding using fuzzy transforms, as well as compression techniques and fragile watermarking for tamper detection. His work spans diverse applications including climate vulnerability assessment models for urban systems, segmentation methods, and predictive data analysis. Di Martino’s expertise also extends to spatial GIS applications, particularly in developing tools for vulnerability modeling and analysis in complex systems like aquifers. His research is pivotal in advancing the intersection of fuzzy logic, computational intelligence, and practical applications in various domains.

Publications

  1. A novel quantum inspired genetic algorithm to initialize cluster centers in fuzzy C-means, Publication date: 2022.
  2. Improving the emotion‐based classification by exploiting the fuzzy entropy in FCM clustering, Publication date: 2021.
  3. Graphical views of intuitionistic fuzzy double-controlled metric-like spaces and certain fixed-point results with application, Publication date: 2022.
  4. D-nisq: a reference model for distributed noisy intermediate-scale quantum computersPublication date: 2022.
  5. A fuzzy partition-based method to classify social messages assessing their emotional relevance, Publication date: 2022.
  6. Fuzzy-Based Spatiotemporal Hot Spot Intensity and Propagation—An Application in Crime Analysis, Publication date: 2022.
  7. A theoretical development of cubic pythagorean fuzzy soft set with its application in multi-attribute decision making, Publication date: 2022.
  8. A GIS-based fuzzy multiclassification framework applied for spatiotemporal analysis of phenomena in urban contexts, Publication date: 2022.
  9. A GIS-Based Hot and Cold Spots Detection Method by Extracting Emotions from Social Streams, Publication date: 2022.
  10. A GIS-based framework to assess heatwave vulnerability and impact scenarios in urban systems, Publication date: 2023.
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