Mr. Federico D’ Asaro, Politecnico di Torino, Italy
Based on Mr. Federico D’Asaro’s background and achievements, he appears to be a strong candidate for the Research for Best Researcher Award. Here’s an evaluation of his suitability:
Publication profile
Education 🎓
- Polytechnic University of Turin: M.Sc. in Data Science and Engineering with a thesis on algorithm discrimination. Achieved a final grade of 110/110.
- University of Palermo: B.Sc. in Engineering and Management, graduating cum laude with a final grade of 110/110.
- Scientific Lyceum “Galileo Galilei”: High School Diploma with a grade of 83/100.
Work Experience 💼
- Ph.D. Student at Polytechnic University of Turin: Conducting research on Modality-Gap in multimodal feature space and submitting articles to prominent conferences.
- AI Applied Researcher at LINKS Foundation: Developed advanced applications in business analytics, sentiment analysis, retrieval systems, and speech emotion recognition. Engaged in proposal writing and reviewing conference papers.
- Intern at Technology Reply: Gained experience in NLP, sentiment analysis, and textual data modelization.
Skills and Competencies 🛠️
- Proficient in multiple programming languages and tools including Python, Java, TensorFlow, PyTorch, and SQL.
- Experienced in data visualization, machine learning, and deep learning.
- Competent in using various IT tools and frameworks like Apache Spark and Hadoop.
Other Information 🌍
- Languages: Fluent in Italian and proficient in English (B2 level).
- Interests: Diverse interests including sports, literature, and technology.
- Certifications: B2 First (FCE) and driving license.
Publication Top Notes
Zero-Shot Content-Based Crossmodal Recommendation System
Sensitive attributes disproportion as a risk indicator of algorithmic unfairness
Conclusion🏆
Mr. Federico D’Asaro demonstrates a solid academic background, relevant work experience, and a diverse skill set, aligning well with the criteria for the Research for Best Researcher Award. His ongoing research and contributions to AI applications show a strong potential for impactful research and innovation.