For the PhD students of the cycle XL, the study plan includes:

1. INDIVIDUAL RESEARCH, guided by at least one Tutor, which culminates with the defense of an original PhD dissertation. The Academic Board appoints one Tutor for each student. In some cases, more Tutors may be appointed. Students will have daily contact with the research group to which they belong. They should expect a formal meeting with their Tutor(s) at least once a month. 
   All PhD students will present their research regularly throughout their three years of the programme in seminars, annual reviews, summer schools, and scientific meetings both in Italy and abroad. Students will get some funding to attend scientific schools, conferences and workshops.
2. SPECIALIZED COURSES, of 1, 2 or 3 credits, for a total of 15 credits to be acquired in the first two years (each credit corresponds to either 8 hours of lectures or 15 hour of practice). The student chooses the courses of interest to be attended on each one of the first two years; four of such courses, for at least a total of 8 credits, require a final exam to be given by the end of the second year of the PhD Programme. By the end of the first year, the student has to pass at least two exams. The specialized courses may also include international schools of interest for the individual research.
3. SEMINARS on various topics, to be attended during the three years of the PhD Programme, for at least 40 hours: a) 10 hours on topics related to advanced information technology; b) 10 hours on scientific research writing; c) 20 hours on topics related to research programs, knowledge sharing with industry, copyright and patents. Such seminars are part of the student education, as required by article 4, section 1. f)  of the 14th Dec 2021 Ministerial Decree n. 226 ("Regulations concerning ... criteria for the creation of PhD Programmes by registered institutions”).

 

Timetable October-April 2024 (last updated Octobre 17, 2024)

• Scientific Research Writing (10 hours).
  Teacher: Prof. Antonietta Bagnardi
  Period: October 2024, November 2024
  (scheduled lessons on the chart below)

• Artificial Intelligence Techniques for Remote Sensing (16 hours)
  Teacher: Dr. Giuseppina Andresini, Prof. Annalisa Appice
  Period: June 2025
  (scheduled lessons on the chart below)
• Control of Degenerate and Singular Parabolic Equations (16 hours).
  Teacher: Prof. Genni Fragnelli
  Period: October 2025
  (scheduled lessons on the chart below)
• Digital Twin Design and Development (16 hours).
  Teacher: Dr. Lucio Colizzi
  Period: October 2024
  (scheduled lessons on the chart below) 
• Emotion recognition using non-invasive biometrics (16 hours).
  Teacher: Prof. Nicole Novielli
  Period: February 2025, March 2025
  (scheduled lessons on the chart below)
• The role of AI in Modern Business Process Management (31 hours).
  Teacher: Dr. Vincenzo Pasquadibisceglie
  Period: March 2025
  (scheduled lessons on the chart below)
• AI Ethics vs. AI Justice (31 hours).
  Teacher: Dr. Antonio Carnevale
  Period: November 2024, December 2024, January 2025
  (scheduled lessons on the chart below)
• Data modeling for AI applications in healthcare (31 hours).
  Teacher: Dr. Gianluca Zaza
  Period: November 2024
  (scheduled lessons on the chart below)
• Assessing the understandability of AI solutions in psychiatry (31 hours).
  Teacher: Dr. Cristina Berchio
  Period: January 2025, February 2025
  (scheduled lessons on the chart below)
• Advanced Topics in AI: Machine Learning, Symbiotic AI, and Behavioral Biometrics (31 hours).
  Teacher: Dr. Vincenzo Dentamaro
  Period: October 2024, November 2024
  (scheduled lessons on the chart below)
• Introduction to Noncommutative Probability (16 hours).
  Teacher: Dr. Maria Elena Griseta
  Period: March 2025, April 2025
  (scheduled lessons on the chart below)
• Human-Centered Natural Language Processing (23 hours).
  Teacher: Dr. Marco Polignano
  Period: May 2025
  (scheduled lessons on the chart below)
• Fourier Analysis on some unimodular Lie groups (16 hours).
  Teacher: Dr. Alessandro Palmieri
  Period: February 2025, March 2025
  (scheduled lessons on the chart below)
• History and Philosophy of Symbiotic AI (31 hours).
  Teacher: Dr. Antonio Lombardi
  Period: October 2024, November 2024, December 2024
  (scheduled lessons on the chart below)
• Big Data Analytics for Text Mining (31 hours).
  Teacher: Dr. Zafar Saeed
  Period: November 2024, December 2024
  (scheduled lessons on the chart below)
• Legal foundation of symbiotic AI (31 hours).
  Teacher: Prof. Piero Marra, Dr. Lorenzo Pulito
  Period: October 2024, November 2024, December 2024
  (scheduled lessons on the chart below)
• Design of a Symbiotic AI System (31 hours).
  Teacher: Dr. Luigi Quaranta
  Period: January 2025
  (scheduled lessons on the chart below)
• Mathematical Models and Numerical Methods for Omics Data Analysis (23 hours)
  Teacher: Dr. Flavia Esposito
  Period:  October 2024, November 2024 (The period has been changed, the course will be offered on a date to be determined)
  (scheduled lessons to be determined)
• Theories and research methods in STEM education (31 hours).
  Teacher: Prof. Eleonora Faggiano, Prof. Antonella Montone
  Period: (Still to be assigned)
  (scheduled lessons on the chart below)
• Symbiotic AI: Low Rank solutions to improve the data quality and AI algorithms (31 hours).
  Teacher: Prof. Cristiano Tamborrino
  Period: November 2024, Dicember 2024
  (scheduled lessons on the chart below)
• Fractional operators on homogeneous spaces (16 hours)
  Teacher: Prof. Dimiter Vassilev, Prof. Annunziata Loiudice
  Period: January 2025
  (scheduled lessons on the chart below)
• Random matrix theory and applications (24 hours)
  Teacher: Prof. Fabio Deelan Cunden, Prof. Giovanni Gramegna 
  Period: March 2025, April 2025
  (scheduled lessons on the chart below)