Felice Antonio Merra
Scholar

Felice Antonio Merra

Google Scholar ID: O4bDuG4AAAAJ
Data Science Manager @ Cognism
Recommender SystemsAdversarial Machine LearningTrustworthyAIAdversarial Recommendation
Citations & Impact
All-time
Citations
1,054
 
H-index
15
 
i10-index
16
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • Published multiple papers including an arXiv paper on Bayesian optimized prompt engineering, and a formalization of multimedia recommendation through multimodal deep learning in ACM Transactions on Recommender Systems. Graduated with a Ph.D. cum laude. Won Best Short Paper - Runner Up at CIKM 2021 and MIT-IBM Watson AI Lab best paper award at AdvML@KDD 2021.
Research Experience
  • Worked for 3 years as an Applied Scientist at Amazon.com, focusing on Generative AI (Rufus and AmazonQ), Information Retrieval (Amazon Search), Recommender Systems, and Natural Language Processing. Completed a Summer Internship as an Applied Scientist at Amazon in the Amazon Search and Personalization Team, and a research visit at the Knowledge Media Institute under the supervision of Prof. Enrico Motta.
Education
  • Ph.D. from the Department of Electrical Engineering and Information Technology, Polytechnic University of Bari, supervised by Prof. Tommaso Di Noia.
Background
  • Working as a Science Manager at Cognism.com, leading a team of 5+ scientists. Research interests mainly focus on artificial intelligence, particularly Trustworthy AI and Generative AI. Special attention is given to recommender systems applications to study the robustness of modern ML recommender models affected by adversarial threats.
Miscellany
  • Personal interests and hobbies not mentioned.