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Angelo Genovese
PeerJ Reviewer
85 Points

Contributions by role
Reviewer 85

Contributions by subject area
Bioinformatics
Artificial Intelligence
Computer Vision
Data Mining and Machine Learning
Neural Networks

Angelo Genovese

PeerJ Reviewer

Summary

Angelo Genovese was born in Benevento, Italy, on February 19th, 1985. He received the B.Sc., M.Sc., and Ph.D. degrees in Computer Science in 2007, 2010, and 2014 respectively, from Università degli Studi di Milano, Italy. From 2014 to 2019 he was a Postdoctoral Research Fellow and since 2015 he is a member of the Industrial, Environmental, and Biometric Informatics Laboratory (IEBIL) at the Università degli Studi di Milano, Italy. From June to August 2017, he was a Visiting Researcher at the University of Toronto, ON, Canada. Since 2019 he is Assistant Professor at Università degli Studi di Milano, Italy, Department of Computer Science.

His research interests include signal and image processing, three-dimensional reconstruction, computational intelligence technologies, and design methodologies and algorithms for self-adapting systems, applied to industrial and environmental monitoring systems and biometric recognition. In the biometrics field, his focuses are on highly usable touch-based and touchless fingerprint and palmprint recognition, as well as recognition based on soft biometric traits.

Computer Vision Data Mining & Machine Learning

Work details

Assistant Professor

Università degli Studi di Milano
Department of Computer Science

Websites

  • Personal page
  • Google Scholar
  • GitHub

PeerJ Contributions

  • Reviewed 1

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

December 5, 2025
Efficient hybrid CNN-transformer model for accurate blood cancer detection
Wiem Abdelbaki, Muhammad John Abbas, Fathimathul Rajeena P. P, Inzamam Mashood Nasir, Deema Mohammed Alsekait, Adel Thaljaoui, Diaa Salama AbdElminaam
https://doi.org/10.7717/peerj-cs.3335