Curriculum vitæ of Dario Malchiodi

Personal information

Dario Malchiodi
Department of Computer Science, University of Milan
Room 5015 · Via Celoria 18, 20133 Milano ITALY

first . last at unimi . it
+39 02 503 16338
malchiodi.di.unimi.it · PGP key

Current position

Since 2011 I have been an associate professor at the Computer Science Department of the University of Milan.

Previous positions

2002–2011: Assistant professor at the Computer Science Department of the University of Milan.
2001–2002: Research assistant at the Computer Science Department of the University of Milan, within the Neural Networks Laboratory.

Education

2000: PhD in Computational Mathematics and Operations Research, University of Milan.
1996: MSc (cum laude) in Computer Science, University of Milan.

Awards

2026: Best Paper Runner-Up Award at the GLOW 2026 workshop (Graph-enhanced LLMs for trustworthy Web data management, The Web Conference 2026) (Emanuele Cavalleri, Miad Alavinezhad, Marco Mesiti and Dario Malchiodi, Better Negatives, Better Predictions: Negative Sample Selection Strategies for Enhancing Biomedical KG Edge Classification)
2018: CSEDU 2018 best poster award (Carlo Bellettini, Fabrizio Carimati, Violetta Lonati, Riccardo Macoratti, Dario Malchiodi, Mattia Monga and Anna Morpurgo, A Platform for the Italian Bebras)
2016: Informatics Europe Best Practices in Education Award (ALaDDIn laboratory)

Research activities

Reliable and efficient machine learning: Reliability and AI systems · Compression of machine learning models · Learned data structures
Fuzzy sets and learning from uncertain data: Data-driven induction of fuzzy sets
Machine learning for the life sciences: Knowledge graphs and LLM-based information extraction in biomedicine · Language models for protein and enzyme design · Negative sample selection in biological networks and knowledge graphs
Applications of machine learning: Machine learning in human and veterinary medicine, forensic sciences and cultural heritage
Earlier research lines: Computing education and popularization · Statistical learning and algorithmic inference · Hybrid and neuro-symbolic systems · Scientific computing and simulation

Membership to research projects

2026–now: DRIFTWISE: Deep and Robust Inference with Fuzzy representaTions, WIth anomaly detection and model comprESSion — University of Milan, INDACO 2026 call: 25,000 computing hours on A100 GPUs, INDACO · principal investigator
2024–now: DREAM: Mind your DRug: biobehavioral modEl towArd precision Medicine in depression — Italian Science Fund (Fondo Italiano per la Scienza), Starting Grant, LS5, FIS 2 · member
2024–2026: PRECOCO: Metodi di AI per diagnostica PRECOce del carcinoma squamoso del Cavo Orale basato su imaging label-free — Italian Ministry of University and Research, National Complementary Plan to the PNRR: cascade call of the ANTHEM project (AdvaNced Technologies for Human-centrEd Medicine), Spoke 2, PNRR · member
2019–2021: Multicriteria Data Structures and Algorithms: from compressed to learned indexes, and beyond — Italian Ministry of education and research, PRIN · member
2016–2018: Fostering a correct view of informatics — University of Milan, PSR · coordinator
2012–2015: SandS: Social AND Smart — European Commission, Erasmus Programme · member
2012–2014: VIOPE: Learning computer programming in virtual environment — European Commission, 6th Framework Programme · member
2008–2013: PASCAL2: Pattern Analysis, Statistical Modelling and Computational Learning — European Commission, 7th Framework Programme · member
2005–2008: PASCAL: Pattern Analysis, Statistical Modelling and Computational Learning — European Commission, 6th Framework Programme · member
2001–2003: ORESTEIA: mOdular hybRid artEfactS wiTh adaptivE functIonAlity — European Commission, 5th Framework Programme · member

International collaborations

2016–now: Visiting scientist at INRIA/Université de la Côte d'Azur within the WIMMICS project
2023–2024: Proposer of the research collaboration agreements between the I3S laboratory of Université Côte d'Azur and the Computer Science Department, University of Milan (2023 and 2024)

Membership to academic associations and research groups

2021–now: CINI Laboratory on Data Science
2020–now: CINI Laboratory on Artificial Intelligence and Intelligent Systems (AIIS)
2020–now: NIH National COVID Cohort Collaborative (N3C)
2020–now: COVID-19 International Research Team
2019–now: Data science research centre, University of Milan
2008–2019: ALaDDIn laboratory
2002–2013: Italian Society for Neural Networks

Publications

Overview: Books: 5 · Journals: 37 · International conferences: 82 · Chapters: 8 · Theses: 2 · Software: 5 · Other publications: 4
Bibliometric indices: OpenAlex: H-index 14, 970 citations · Google Scholar: H-index 21, 1549 citations · Scopus: H-index 14, 785 citations · Web of Science: H-index 10, 423 citations (as of 24/10/2026)

I authored about 140 papers in journals and international conference proceedings; the most relevant ones are listed below.

2027

Detecting LLM Hallucinations via Anomaly Detection on Latent Representations

D. Malchiodi, L. Dal Mas, M. Frasca, M. W. Rivolta and I. Mazzon

Modeling Decisions for Artificial Intelligence

DOI BibTeX
2026

ADAZOR: Hypothesis Testing for Concept Drift Detection in Machine Learning

A. M. Zanaboni, D. Malchiodi and A. Nasra

Engineering Applications of Neural Networks

DOI BibTeX
2026

Quantization-Aware Regularizers for Deep Neural Networks Compression

D. Malchiodi, M. Ferraretto and M. Frasca

IJCNN 2026 Proceedings. · In press

BibTeX
2026

Compression Techniques for Membership Functions to Fuzzy Sets Learned from Data

A. Dashti Genave, D. Malchiodi and M. Frasca

2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Pisa, Italy, 2026

DOI BibTeX
2026

Better Negatives, Better Predictions: Negative Sample Selection Strategies for Enhancing Biomedical KG Edge Classification

E. Cavalleri, M. Alavinezhad, M. Mesiti and D. Malchiodi

WWW Companion '26: Companion Proceedings of the ACM Web Conference · In press

DOI BibTeX
2025

Fine-tuning of conditional Transformers improves in silico enzyme prediction and generalization

M. Nicolini, E. Saitto, R. E. Jimenez Franco, E. Cavalleri, A. J. Galeano Alfonso, D. Malchiodi, A. Paccanaro, P. N. Robinson, E. Casiraghi and G. Valentini

Computational and Structural Biotechnology Journal 27

DOI BibTeX
2025

Quench detection and localization via interpretable machine learning

A. Biagiotti, D. Malchiodi, S. Mariotto and L. Rossi

Engineering Applications of Neural Networks. EANN 2025.

DOI BibTeX
2025

One-class vs binary machine learning classification of ceramic samples described by chemical element concentrations

D. Malchiodi, A. M. Zanaboni, A. Di Gioacchino and L. Bonizzoni

Journal of Cultural Heritage 71

DOI BibTeX
2025

Fatal fall from a height: is it possible to apply artificial intelligence techniques for height estimation?

A. Blandino, A. M. Zanaboni, D. Malchiodi, C. V. Di Francesco, C. Spada, C. Faraone, G. V. Travaini and M. B. Casali

International Journal of Legal Medicine 139

DOI BibTeX
2024

The role of classifiers and data complexity in learned Bloom filters: insights and recommendations

D. Malchiodi, D. Raimondi, G. Fumagalli, R. Giancarlo and M. Frasca

Journal of Big Data 11

DOI BibTeX
2024

SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning

E. Cavalleri, M. Soto-Gomez, A. Pashaeibarough, D. Malchiodi, H. Caufield, J. Reese, C. J. Mungall, P. N. Robinson, E. Casiraghi, G. Valentini and M. Mesiti

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases

BibTeX
2023

The promises of large language models for protein design and modeling

G. Valentini, D. Malchiodi, J. Gliozzo, M. Mesiti, M. Soto-Gomez, A. Cabri, J. Reese, E. Casiraghi and P. N. Robinson

Frontiers in Bioinformatics 3

DOI BibTeX
2023

Efficient and Compact Representations of Deep Neural Networks via Entropy Coding

G. C. Marinò, F. Furia, D. Malchiodi and M. Frasca

IEEE Access 11

DOI BibTeX
2023

Supervised learning algorithms as a tool for archaeology: classification of ceramic samples described by chemical element concentrations

G. Ruschioni, D. Malchiodi, A. M. Zanaboni and L. Bonizzoni

Journal of Archaeological Science: Reports 49

DOI BibTeX
2023

Deep neural networks compression: a comparative survey and choice recommendations

G. C. Marinò, A. Petrini, D. Malchiodi and M. Frasca

Neurocomputing 520

DOI BibTeX
2021

A pilot study for investigating the feasibility of supervised machine learning approaches for the classification of pedestrians struck by vehicles

M. Casali, D. Malchiodi, C. Spada, A. M. Zanaboni, R. Cotroneo, D. Furci, A. Sommariva, U. Genovese and A. Blandino

Journal of Forensics and Legal Medicine 84

DOI BibTeX
2020

Explainable machine learning for early assessment of COVID-19 risk prediction in emergency departments

E. Casiraghi, D. Malchiodi, G. Trucco, M. Frasca, L. Cappelletti, T. Fontana, A. A. Esposito, E. Avola, A. Jachetti, J. Reese, A. Rizzi, P. N. Robinson and G. Valentini

IEEE Access 8

DOI BibTeX
2020

Simultaneous Learning of Fuzzy Sets

L. Cermenati, D. Malchiodi and A. M. Zanaboni

Neural Approaches to Dynamics of Signal Exchanges

DOI BibTeX
2019

Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness

D. Malchiodi and A. M. Zanaboni

Fuzzy Logic and Applications — 12th International Workshop, WILF 2018 Genoa, Italy, September 6–7, 2018 — Revised Selected Papers

DOI BibTeX
2018

Evaluating the impact of topological protein features on the negative examples selection

P. Boldi, M. Frasca and D. Malchiodi

BMC Bioinformatics 19

DOI Open access link BibTeX
2017

Analysis of Informative Features for Negative Selection in Protein Function Prediction

M. Frasca, F. Lipreri and D. Malchiodi

Bioinformatics and Biomedical Engineering 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26–28, 2017, Proceedings, Part II

DOI BibTeX
2013

Learning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering

D. Malchiodi and W. Pedrycz

Fuzzy Logic and Applications. 10th International Workshop, WILF 2013, Genoa, Italy, November 19–22, 2013. Proceedings.

DOI BibTeX

Teaching activities

Current activities

2020–now: Algorithms for massive data (DSEH) — MSc in Data Science for Economics and Health, University of Milan (20 hours, 3 credits)
2019–now: Algorithms for massive datasets — MSc in Computer science, University of Milan (48 hours, 6 credits)
2015–now: Statistics and data analysis — BSc in Computer science, University of Milan (60 hours, 6 credits)

Past activities

2023–2024: Deep learning in bioinformatics — PhD in Computer Science, University of Milan (4 hours)
2023–2024: Efficacy and efficiency evaluation of machine learning models — PhD in Computer Science, University of Milan (10 hours)
2012–2019: Big scale analytics — MSc in Computer science, University of Milan (48 hours, 6 credits)
2018–2019: Data bases II — DUT in Statistics and business intelligence, Université de la Côte d'Azur (38 hours)
2018–2019: Data mining — DUT in Statistics and business intelligence, Université de la Côte d'Azur (18 hours)
2017–2018: Analysis of multidimensional data — PhD in Computer Science, University of Milan (10 hours)
2006–2017: Simulation — MSc in Computer science, University of Milan (24 hours, 3 credits)
2015–2016: Big data and digital methods — Ma in Public and corporate communication, University of Milan (40 hours, 3 credits)
2011–2016: Computer programming 3 — MSc in Mathematics, University of Milan (21 hours, 3 credits)
2010–2015: Operating systems — BSc in Computer science and music, University of Milan (48 hours, 6 credits)
2011–2012: Computer programming 1 — BSc in Computer science and music, University of Milan (72 hours, 9 credits)
2010–2011: Software design — MSc in Computer science for communication, University of Milan (48 hours, 6 credits)
2003–2010: Laboratory of computer programming 1 — BSc in Computer science and music, University of Milan (48 hours, 3 credits)
2006–2010: Computing systems 2 — MSc in Mathematics, University of Milan (24 hours, 4 credits)

Thesis supervision

163 theses supervised as advisor or co-advisor: Master theses 66 · Bachelor theses 97. Full list on the website →

Service to the scientific community

Membership to editorial boards of international journals

2025–now: Frontiers in Genetics (Review Editor)
2008–now: International Journal of Computational Intelligence Studies
2010–2017: Mathematics and Computers in Simulation
2010–2014: Intelligent decision technologies

Conference organization

2026: Co-chair of the Doctoral Consortium of EANN 2026 (International Conference on Engineering Applications of Neural Networks)
2026: Member of the program committee of AIxIA 2026 (International Conference of the Italian Association for Artificial Intelligence)
2025: Member of the program committee of EANN-EAAAI 2025 (International Conference on Engineering Applications of Neural Networks)
2017–2023: Member of the program committee of DSIR: International Conference on Data Science and Institutional Research
2011: Member of the organizing committee of INFOCULT 2011
2011: Member of the program committee of KES2011
2010: Member of the program committee of ECML PKDD 2010 (European Conference on Machine Learning / Principles and Practice of Knowledge Discovery in Databases)

Tutorials, workshops, panels and special sessions

2023: Chair of the EANN2023 session CLASSIFICATION / SECURITY / ETHOLOGY
2018: Speaker in the round table Zadeh and the Future of Fuzzy Logic, organized during WILF2018
2018: Chair of the IWBBIO2017 session Computational systems for modelling biological processes
2013: Speaker in the panel Computational Intelligence Methods for Big Data Analysis, organized during WILF2013
2007: Chair of the KES2007/WIRN2007 special session Learning from uncertain data

Reviewing

Journals (18): Applied Sciences · BMC Bioinformatics · Computers and Operations Research · Data Science and Engineering · Engineering Science and Technology, an International Journal · IEEE Access · IEEE Transactions on Fuzzy Systems · IEEE Transactions on Neural Networks · Information Sciences · Intelligenza Artificiale · Journal of Fuzzy Optimization and Decision Making · Mathematics and Computers in Simulation · Neural Computing and Applications · Neural Networks · Neurocomputing · RAIRO – Theoretical Informatics and Applications · Scientific Reports · Theoretical Computer Science
Conferences (16): AIxIA: International Conference of the Italian Association for Artificial Intelligence · CSTST: International Conference on Soft Computing as Transdisciplinary Science and Technology · DSIR: International Conference on Data Science and Institutional Research · FUN: International Conference on Fun with Algorithms · HIS: International Conference on Hybrid Intelligent Systems · ICANN/ICONIP: Joint 13th International Concerence on Artificial Neural Networks and 10th International Conference on Information Processing · ICTAI: IEEE International Conference on Tools with Artificial Intelligence · IJCNN: IEEE International Joint Conference on Neural Networks · IPMU: Information Processing and Management of Uncertainty in Knowledge-Based Systems · ISSEP: International Conference on informatics in Schools. Situation, Evolution and Perspectives and Automation · IWBBIO: International Work-Conference on Bioinformatics and Biomedical Engineering and Automation · SOFSEM: International Conference on Current Trends in Theory and Practice on Computer Science · STACS2003: 20th International Symposium on Theoretical Aspects of Computer Science · The Web Conference · WCCI: IEEE World Congress on Computational Intelligence · WCICA: IEEE World Congress on Intelligent Control and Automation

Evaluation activities

PhD theses and defences

2027: Member of the doctoral defense committee for the PhD in Computer Science, 39th Cycle, University of Milano-Bicocca.
2024: Review of a PhD thesis — Università degli Studi di Milano Bicocca
2022: Review of a PhD thesis — Università degli Studi di Palermo
2018: Review of a PhD thesis — PhD program in Translational and Molecular Medicine (DIMET), Università degli Studi di Milano Bicocca
2017: Member of the PhD defense jury of the École doctorale des sciences et technologies de l'information et de la communication, Université de la Côte d'Azur.
2015: Member of the PhD defense jury of the École doctorale des sciences et technologies de l'information et de la communication, Université de Nice – Sophia Antipolis.

Research projects

2023: FAR (Fondo di Ateneo per la Ricerca) 2023 — University of Modena and Reggio Emilia · reviewer
2023: Ateneo per la ricerca 2023 — University of Parma · reviewer
2021: Research funding scheme A 2020/21 — University of Mauritius · reviewer
2019: Research funding scheme B 2019/20 — University of Mauritius · reviewer
2019: Bando SEED (Linea 3 del Piano di Sostegno alla Ricerca) — University of Milan · expert evaluator
2014: SIR 2014 (Scientific Independence of young Researchers) — Italian Ministry for education, university and research · reviewer and rapporteur

Institutional service

Roles and committees

2025–now: Member of the Technical-Scientific Committee of the University of Milan for the evaluation of the reports of PRIN projects.
2024–now: Member of the joint student-teacher committee (Commissione paritetica docenti-studenti) of the master in Data Science for Economics and Health (Data Science for Economics until 2024/25), University of Milan.
2024–now: Tutor for Erasmus+ exchanges and international mobility of the master in Data Science for Economics and Health (Data Science for Economics until 2024/25), University of Milan.
2024–now: Member of the faculty board of the PhD programme in Computer Science, University of Milan.
2021–now: Orientation tutor for the bachelor in Computer Science, University of Milan.
2017–2018: Member of the faculty board of the PhD programme in Computer Science, University of Milan.
2017–2018: Member of the steering committee of the specialization course in Data science for economics, business and finance of the University of Milan.
2013–2017: Coordinator of the commission for prospective students and vocational orientation of the Science and Technology division of the University of Milan.
2012–2017: Deputy Director of the Computer science Department of the University of Milan for activities related to cultural promotion and counseling for prospective students.
2010–2017: Coordinator of the committee for prospective students in computer science, Science Division, University of Milan
2013–2015: Member of the committee of the Specialization in Mathematics, Physics and Computer science Teaching, University of Milan.
2013–2014: Member of the workgroup for prospective students and vocational orientation of the Academic Senate of the University of Milan.

Selection committees

2022: Coordinator of the selection committee for access of foreign students to the master in Computer science of the University of Milan.
2020–2021: Member of the selection committee for access of foreign students to the master in Computer science of the University of Milan.
2020: Member of the selection committee for access to the 2nd-level specialization course in Bioinformatics and functional genomics of the University of Milan.

Third mission

Public engagement

Besides my research activities, for more than twenty years I have worked on several initiatives related to the popularization of the culture underlying computing and computer science at the University of Milan. Specifically, I am among the founders of the ALADDIN laboratory, between 2012 and 2017 I was appointed by the director of the Computer Science Department to be responsible for activities concerning prospective students and popularization, and between 2013 and 2017 I was in charge of the commission for prospective students and vocational orientation of the Science and Technology division. Details on the popularization page →

Contracts and consultancy

2025: Teacher training contract, Scuola Militare «Teulié», Milan — € 800.00
2024: Consultancy agreement «Intelligent processing of legal knowledge bases using large language models», PBV Monitor s.r.l. (scientific lead) — € 22600.00
2017: Osservatorio Milano Duomo — € 3000.00
2017: Social Thingum — € 540.00
2016: Consorzio Sardegna Ricerche — € 5162.30
2010: Centro Orientamento Scuola e Professioni, University of Milan — € 1006.57