1. Scientific Writing (32 hours)
Prof. Thomas M. Brown
Schedule: 17, 19, 21, 24, 25 of June from 9:30 to 13:00
8, 9 of July from 9:30 to 13:00
10 of July from 14:30 to 18:00
Main Topics : Expectations for PhD students, Careers for PhD students in and outside Academia in Engineering and Sciences, Understanding the publication process for peer-reviewed scientific articles: metrics, impact and impact factors, open access, selecting a journal, submission, cover letter, manuscript, peer review, response to reviewers, revisions, editorial processes. Understanding what makes research and your results publishable. Scientific communication: writing, presentations, finding information. Writing of a scientific article (with class exercises): structure of an article (title, abstract, introduction, results, discussion, conclusions etc.), graphing and images, writing a PhD thesis, writing a proceeding, preparing a poster, preparing an abstract for conferences.
2. Project Management (20 hours)
Prof. Vito Introna
Dott.ssa Annalisa Santolamazza
Schedule: 20, 27 of June from 14:00 to 18:00
4, 12, 17 of July from 14:00 to 18:00
Content: The Project Management course aims at providing students with the basic competencies for managing a project. The course starts with an introduction to Project Management. Then the course focuses on project management processes: initiating processes, planning processes, executing and controlling processes and closing processes. The course focus on processes belonging to different knowledge areas: Scope, Time, Cost, Quality, Resource, Risk, Purchasing, Communication, Stakeholder and Integration. The standard steps and tools needed to implement each processes are described. Finally the course focuses on general management basic competencies and behavioural competencies needed for project manager.
3. Exploitation and Protection of Research and Development
3.1 Introduction to Patents and related procedures; the role of the IPR consultant (2 hours)
Ing. Antonio Celona
Schedule: 27 of June, from 10:30 to 12:15
Curriculum Vitae - Antonio Celona - After graduating in 2001 at the University of Messina in Materials Engineering, he received a Master's Degree in Innovation and Development of Intellectual Property at the Istituto Guglielmo Tagliacarne in Rome in 2003. In 2008 he obtained the qualification as Italian Patent Consultant and he is qualified at the European Union Intellectual Property Office (EUIPO) in the field of designs. In 2012 he obtained the qualification as European Patent Attorney and he is enrolled in the European Patent Institute (EPI).
3.2 Design Your Start-Up (8 hours)
Dr. Roberto Giuliani
Schedule: 21 of June, from 14:00 to 18:00
5 of July, from 14:00 to 18:00
Main Topics
Introduction: key topics for a start-up
Design your Business Model Canvas: your company in one slide
The Business Plan structure and basic instructions about the economic and financial aspects of budgeting for your start-up. The start-up fund raising activities addressed to private investors.
4. Critical Tools (Data Analysis)
Artificial Intelligence and Machine Learning for Electronics Engineering (16 hours)
Dott. Sergio Spanò
Schedule: 3, 4, 10 of July, from 9:30 to 13:30
11 of July, from 14:30 to 18:30
Content: The course offers a comprehensive introduction to the foundational concepts of Artificial Intelligence (AI) and Machine Learning (ML). It covers key theories and equips students with the essential tools for developing practical Machine Learning applications. Throughout the course, students will explore various AI and ML methodologies, gaining hands-on experience with industry-standard software and frameworks. The curriculum is further enriched with the examination of real-world case studies, providing insights into how AI and ML are applied in practical scenarios, particularly in the context of Electronics Engineering. Overall, the course aims to build a solid understanding of AI and ML principles, while also fostering the skills necessary to apply this knowledge to address complex engineering challenges.
5. Examples of New Frontiers in R&D
5.1 Radio Frequency Identification and Sensing for the Digital Transition in Industry and Medicine (8 hours)
Prof. Gaetano Marrocco
Schedule: 11,12 of July, from 9:30 to 13:30
Content: This course introduces the basics of Radiofrequency Identification technology (RFID) from its assessed application in the logistic of goods and, above all, to the most advanced research trends in bio-engineering and in predictive maintenance. Indeed, an RFID system is one of the best scalable infrastructures that can handle a single device, like an implanted sensor and a fruit, but it can, however, be indefinitely replicated to control a multitude of entities in farms and even in process of huge complexity thus becoming an unprecedented source of big-data.
Curriculum Vitae: Gaetano MARROCCO is currently Full Professor of Electromagnetics at the University of Roma Tor Vergata, director of the Medical Engineering Degree and Chair of the Pervasive Electromagnetics Lab. His research is currently focused to the development of the wireless physical layer of the Medical and Industrial Internet of Things. He pioneered the extension of RFID technology to the batteryless sensing of deformation, temperature, humidity, volatile compounds, implanted bio prosthesis, skin parameters, human motion recognition and restoration of epidermal senses.
Associate Editor of IEEE RFID Journal and of IEEE Journal of Flexible Electronics, chair of the Commission D - Electronics and Photonics, Union RadioScience International (URSI) - Italy, Co-founder and President of the University spin-off RADIO6ENSE, active in Industry 4.0
5.2. Introduction to Quantum Computation for Engineers (16 hours)
Prof. Aldo Di Carlo -
Schedule: 15, 16, 17, 18 of July, from 9:00 to 12:00
Content: In this course I will review the basic concept of quantum computing and the new paradigm for computation introduced by the quantum mechanical concepts. The concept of qbit is introduced and a short discussion about the quantum algorithm is presented. An overview of present implementation of quantum computers will be given including quantum programming software.