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Short biography

Angelo Genovese 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. Since 2022 he is Associate Professor at Università degli Studi di Milano, Italy, Department of Computer Science. From 2019 to 2022 he was Assistant Professor at the Università degli Studi di Milano, Italy. Since 2015 he is a member of the Industrial, Environmental, and Biometric Informatics Laboratory (IEBIL). He was a Visiting Researcher at the University of Toronto, ON, Canada from June 2017 to August 2017 and from December 2019 to March 2020.

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

He is an Associate Editor of the Springer Journal of Ambient Intelligence and Humanized Computing (AIHC) and Elsevier Array. He was a Member of the Editorial Committee for the Elsevier Book Trends in Deep Learning Methodologies. He has served as Program Chair/Co-Chair for the IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) (2020, 2019, 2018) and the IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) (2018, 2017).

He is a Senior Member of the IEEE, the IEEE Biometrics Council, the IEEE Computational Intelligence Society Task Force on Deep Learning, and the GRIN (Gruppo di Informatica). He was the Chair of the IEEE Italy Section Systems Council Chapter and was the Co-Chair of the IEEE Instrumentation and Measurement Society Technical Committee TC-22 - Intelligent Measurement Systems.

Articles and books

(With source code, when available)
	A decision support system for Acute Lymphoblastic Leukemia detection based on Explainable Artificial Intelligence in Elsevier Image and Vision Computing, 2024 [Project page] [Code (GitHub)]
	DL4ALL: Multi-task cross-dataset transfer learning for Acute Lymphoblastic Leukemia detection in IEEE Access, 2023 [Project page] [Code (GitHub)]
	ALL-IDB Patches: Whole slide imaging for Acute Lymphoblastic Leukemia detection using Deep Learning in IEEE Int. Conf. on Acoustics Speech and Signal Processing Workshops (ICASSPW 2023), Rhodes Island, Greece, 2023, June 4–10, 2023 [Project page] [Code (GitHub)]
	ALLNet: Acute Lymphoblastic Leukemia Detection using lightweight convolutional networks in 2022 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2022), Chemnitz, Germany, June 15–17, 2022 [Project page] [Code (GitHub)]
	Biliary atresia detection using color clustering and nearest neighbor classification: A user interactive approach in 2022 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2022) Chemnitz, Germany, June 15–17, 2022 [Project page] [Code (GitHub)]
	Photovoltaic energy prediction for new-generation cells with limited data: A transfer learning approach in 2022 IEEE Int. Instrumentation and Measurement Technology Conf. (I2MTC 2022) Ottawa, ON, Canada, May 16–19, 2022 [Project page] [Code (GitHub)]
	Iris deidentification with high visual realism for privacy protection on websites and social networks in IEEE Access, September 2021 [Project page] [Code (GitHub)]
	Acute Lymphoblastic Leukemia detection based on adaptive unsharpening and Deep Learning in 2021 IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP 2021) Toronto, Canada, June 6–11, 2021 [Project page] [Code (GitHub)]
	Histopathological transfer learning for Acute Lymphoblastic Leukemia detection in 2021 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2021) June 18–20, 2021 [Project page] [Code (GitHub)]
	I-SOCIAL-DB: A labeled database of images collected from websites and social media for Iris recognition in Image and Vision Computing, January 2021 [Project page] [Code (GitHub)]
	PalmNet: Gabor-PCA Convolutional Networks for touchless palmprint recognition in IEEE Trans. on Information Forensics and Security, December 2019 Included in the IEEE Biometrics Compendium, Issue 38, November 2019 [Project page] [Code (GitHub)] [Code (IEEE Code Ocean)]
	Touchless palmprint and finger texture recognition: A Deep Learning fusion approach in 2019 IEEE Int. Conf. on Computational Intelligence & Virtual Environments for Measurement Systems and Applications (CIVEMSA 2019), Tianjin, China, June 14–16, 2019 [Project page] [Code (GitHub)] [Demo (GitHub)]
	3-D granulometry using image processing in IEEE Trans. on Industrial Informatics, March 2019 [Project page] [Code (GitHub)]
	Age estimation based on face images and pre-trained Convolutional Neural Networks in 2017 IEEE Symp. on Computational Intelligence for Security and Defense Applications (CISDA 2017), Honolulu, HI, USA, November 27–30, 2017 [Project page] [Code (GitHub)]
	Enhancing the performance of multimodal Automated Border Control systems in 15th Int. Conf. of the Biometrics Special Interest Group (BIOSIG 2016), Darmstadt, Germany, September 21–23, 2016 [Project page] [Code (GitHub)]
	Wildfire smoke detection using computational intelligence techniques enhanced with synthetic smoke plume generation in IEEE Trans. on Systems, Man, and Cybernetics: Systems, July 2013 [Project page] [Smoke Simulation Code (GitHub)] [Wildfire Detection Code (GitHub)]
	Low-cost volume estimation by two-view acquisitions: A computational intelligence approach in 2012 IEEE-INNS Int. Joint Conf. on Neural Networks (IJCNN 2012), Brisbane, QLD, Australia, June 10–15, 2012 [Project page] [Code (GitHub)]