Dipartimento di Matematica e informatica

Andrea Loddo received a B.Sc. and M.Sc. in Computer Science from the University of Cagliari (Italy) in 2012 and 2014, respectively, and a Ph.D. in Mathematics and Computer Science from the University of Cagliari in 2019. Since 2015, he has been a member of the Computer Vision unit of the Department of Mathematics and Computer Science of the University of Cagliari. In 2021, he joined the IDE group. He is an Assistant Professor in the same department, teaching in the Laboratory of Programming 1 course (B.Sc. degree in Computer Science).

From A.Y. 2014/15 to 2015/16, he tutored Computer Networks (B.Sc. degree in Computer Science), and from A.Y. 2015/16 to 2020/21, he tutored Algorithms and Data Structures (B.Sc. degree in Computer Science). From A.Y. 2018/19 to 2019/20, he was a lecturer of Information and Elaboration Systems (B.Sc. degree in diagnostic technical health professions science and nursing and midwifery science) at the Faculty of Medicine. In A.Y. 2020/21, he was a lecturer of Fundamentals of Informatics (B.Sc. degree in Physics) at the Faculty of Science and Elements of Computer Studies (B.Sc. degree in Biotechnology) at the Faculty of Biology and Pharmacy.

From Sept. 2017 to Jan. 2018, he worked at Haute Ecole d’Ingénierie et de Gestion du Canton de Vaud (HEIG-VD) on medical image analysis, specifically on malaria parasite analysis from blood smear images acquired with microscopes.

His main area of expertise is the application of pattern recognition techniques to medical and life science fields. In particular, he contributed with automatic or semiautomatic diagnosis tools to medical activity (blood cells, histopathology, Alzheimer's disease, COVID-19) and agricultural-based tools (seeds/cheese cataloging systems). Among his interests are agriculture (plant diseases, seeds analysis), people safety and security (video surveillance), high-dimensional datasets (genomic data), and computer vision, machine, and deep learning techniques. He has contributed to more than 35 papers on these topics in international journals and conference proceedings.

Throughout his career, he was involved in several research projects:

  • “DENIS”: Dataspace Enhancing Next Internet in Sardinia, funded by Regione Autonoma della Sardegna;
  • “AMIS”: Algorithms and Models for Imaging Science, funded by Regione Autonoma della Sardegna;
  • “AGRIFOOD - IAPC”: (Ingegnerizzazione e Automazione del Processo di produzione tradizionale del pane Carasau mediante l'utilizzo di tecnologie IOT), funded by FSE, MISE;
  • “ADAM”: Activity recognition in Dual Acquisition Mode: analysis, feature extraction, and classification of actions and activities, funded by Fondazione di Sardegna;
  • “DEMON”: Detect and Evaluate Manipulation of ONline information (PRIN: PROGETTI DI RICERCA DI RILEVANTE INTERESSE NAZIONALE – Bando 2022), funded by MUR;
  • There is active collaboration with BiosAbbey S.r.l. under the BiosAbbey - DMI Agreement.

He is a member of the Italian Association for Research in Computer Vision, Pattern Recognition and Machine Learning (CVPL), the Italian section of the International Association for Pattern Recognition (IAPR).
He regularly acts as a reviewer for numerous international journals, including Computers in Biology and Medicine (Elsevier), Pattern Recognition (Elsevier), and Medical Image Analysis (Elsevier), and conferences (MICCAI, ICIAP, ICPR, VISAPP).

He is co-guest editor of the Special issue Synthetic Images to Support Computer-Aided Diagnosis Systems for the journal Pattern Recognition Letters published by Elsevier. He is on the editorial board of the Medical Image Analysis topic (with more than 100 articles) edited by MDPI aimed at medical image analysis, including publications in 5 international journals: Applied Sciences, Journal of Imaging, Electronics, Diagnostics, Biomedicines. He participates as co-editor in three Special Issues edited by MDPI; two are entitled “Image Processing Techniques for Biomedical Applications and Computer Aided Diagnosis”, both aimed at analyzing biomedical images, and the latter is “Machine Learning Approaches for Imbalanced Domains: Emerging Trends and Applications”. He co-organizes and co-chairs the AIRCAD Workshop series (International Workshop on Artificial Intelligence and Radiomics in Computer-Aided Diagnosis) with two editions in conjunction with ICIAP (International Conference on Image Analysis and Processing) in 2022 and 2023, respectively.

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