Curriculum vitae et studiorum

Academic Curriculum (ITA) (PDF)

(Updated: January 2026)

1. Personal information

Surname
Coscia
Name
Pasquale
Email
pasquale [dot] coscia [at] unimi [dot] it
Web
https://coscia.di.unimi.it/
Address (Office)
Department of Computer Science
Via Celoria 18, 20133, Milan, Italy
Room 6021, 6th Floor
Phone
+39 02 503 16650

2. Short biography

2.1. Education

  • January 2019: Ph.D. in Industrial and Information Engineering (XXXI cohort) at the Università degli Studi della Campania “Luigi Vanvitelli”, Italy.
  • October 2014: M.Sc. Degree (cum laude) in Computer Engineering from the Università degli Studi della Campania “Luigi Vanvitelli”, Italy.
  • March 2011: B.Sc. Degree in Computer Engineering from the Università degli Studi della Campania “Luigi Vanvitelli”, Italy.

2.2. Employment history

  • November 2024 - Present: Tenure Track Researcher at the Università degli Studi di Milano, Department of Computer Science, Italy.
  • February 2022 - October 2024: Assistant Professor (Non-tenure Track: RTDa) at the Università degli Studi di Milano, Department of Computer Science, Italy.
  • February 2021 - January 2022: Postdoctoral Research Fellow (type A research grant) in the research program: “Human-motion prediction in the crowd”, at the Università degli Studi di Padova, Department of Mathematics, Italy.
  • February 2020 - January 2021: Postdoctoral Research Fellow (type A research grant) in the research program: “Human trajectory prediction using vision and contextual digital signals”, at the Università degli Studi di Padova, Department of Mathematics, Italy.
  • February 2019 - January 2020: Postdoctoral Research Fellow (type A research grant) in the research program: “Learning models for human-movement anomaly detection and physical threat prediction using computer vision and digital traces”, at the Università degli Studi di Padova, Department of Mathematics, Italy.
  • Research contract in the research project: “Sistemi per la gestione efficiente dei consumi energetici”, at the Università degli Studi della Campania “Luigi Vanvitelli”, Department of Engineering, Italy.

3. Research activity

The research activities have provided innovative contributions from theoretical, methodological, and applied perspectives in the field of information systems for signal and image processing and artificial intelligence. Within the theoretical study of artificial intelligence techniques, particular attention has been devoted to the development of innovative methods based on self-supervised learning to enhance the explainability of convolutional neural networks. Additional contributions concerned the development of methodologies for image generation for industrial applications and intelligent monitoring. The development of artificial intelligence methodologies has led to innovative solutions capable of processing signals and images using adaptive approaches.

The proposed solutions have been validated in several real-world and simulated scenarios, including systems for industrial and environmental monitoring, motion prediction in urban and/or crowded environments, and advanced maritime surveillance. These solutions have enabled the reduction of environmental constraints while ensuring high accuracy in the results. In the context of industrial and environmental informatics, the research optimized image processing through neural networks, reducing costs and improving usability. Solutions were proposed to overcome the limitations of image translation models on low-power devices. In the domain of human motion prediction, the use of recurrent networks and attention-based methods improved motion forecasting in urban environments, enhancing accuracy in scenarios involving multiple agents. Systems were developed to predict pedestrian trajectories and intentions, improving safety in crowded contexts. In the field of intelligent maritime surveillance, unsupervised methodologies were developed to create graphical representations of maritime traffic, improving monitoring and reducing accidents and fuel consumption. These systems enabled long-term forecasting and anomaly detection.

3.1. Explainability of Neural Networks

The study addressed industrial and environmental informatics with the objective of defining optimization strategies for image synthesis in industrial scenarios in order to reduce waste and improve product quality. The proposed solutions mainly involved neural networks for image processing, overcoming operational and environmental limitations. The research focused on effective methods for image synthesis and classification and on industrial monitoring systems. These methodologies also facilitated remote monitoring and forecasting systems, leading to lower management costs and improved usability. The research activities primarily investigated generative image translation models, known as image-to-image (I2I), based on generative adversarial networks, and their main weaknesses, such as domain imbalance, mode collapse, and training instability, which affect their deployment on edge devices. The proposed methods overcame the main limitations of commonly used training approaches for neural networks that require intensive computation and are difficult to adapt to different contexts, thereby limiting large-scale applicability. The studies focused on solutions to address these issues and investigated the implementation of I2I models on low-power devices using weight-sharing methods. Furthermore, artificial intelligence methods for the synthesis of industrial defects and for training automated quality control systems were analyzed and developed.

3.2. Human Motion Prediction

The research activities focused on human motion prediction in urban environments using RGB cameras and drones. Recurrent neural networks (RNNs and LSTMs) as well as attention-based methods relying on Transformers were primarily adopted. The main objective was to examine the multiple factors influencing human motion in crowded environments. Artificial intelligence models were employed to acquire and process signals and images. The proposed solutions were applied in both real and simulated scenarios, enabling innovative applications in fields such as intelligent monitoring and control systems.
In particular, the research addressed human motion prediction, which is crucial in various applications such as video surveillance, behavioral analysis, intrusion detection, intelligent vehicles, and autonomous systems. Tracking systems automatically extract input trajectories, but their accuracy is limited in real-time applications due to occlusions and false detections. To overcome these limitations, the research focused on enhancing recurrent architectures with additional goal estimation modules and with semantic- and social-context-aware modules to infer multimodal, scene-compliant predictions. Knowledge distillation-based approaches were conceived to reduce the length of input trajectories while maintaining prediction accuracy and exploring the models’ ability to generalize across different scenarios. The research also aimed to predict pedestrians’ intentions to cross streets as early as possible, considering various input factors such as relative speed, pedestrian posture, and traffic signals. The proposed solutions, based on multimodal recurrent networks, effectively combined human action anticipation architectures and feature estimation modules to predict future characteristics to be fused with motion history. The research improved the evaluation protocol for this class of problems by extending the anticipation time to enhance human safety and social awareness. The contributions demonstrated the ability to predict pedestrian intentions several seconds in advance.
In the field of action anticipation with egocentric cameras, the research focused on reducing prediction uncertainty through smoothing methodologies. The research significantly improved action anticipation capabilities, enabling accurate analysis even in complex domains. In this context, the study emphasized the importance of the human ability to anticipate future events from visual observations and non-verbal signals, particularly in the fields of human--robot interaction and assisted and autonomous driving. Action anticipation in egocentric scenarios is a challenging task that requires modeling the hidden structure of the domain to reduce prediction uncertainty. The research proposed multimodal frameworks, mainly based on recurrent networks and 3-D convolutional neural networks, to summarize past observations and generate predictions at different time horizons. Furthermore, attention-based models were investigated to jointly evaluate slow- and fast-varying features from multiple modalities.

3.3. Intelligent Navigation

The research activities focused on the conception and development of innovative artificial intelligence techniques based on unsupervised learning. These techniques enable information processing without the need for manual and/or automatic data labeling, thus removing a significant constraint that typically limits the amount of usable data. The introduction of these innovative unsupervised techniques made it possible to process large volumes of data adaptively and with limited constraints on operational parameters, while ensuring high model scalability. In particular, the research explored unsupervised methodologies to extract graphical representations of vessel movements in order to create advanced intelligent monitoring systems. These systems aim to reduce accidents and fuel consumption in the maritime environment. The methods emphasized the importance of understanding the underlying structure of maritime traffic to support human users and decision-makers. By leveraging data from Automatic Identification Systems (AIS), the proposed methods constructed graphical representations of maritime traffic using probabilistic models.

4. Teaching and support activities

4.1. Teaching activities for undergraduate and graduate courses

Lecturer for the following courses within the M.Sc. degree course in Artificial Intelligence for Science and Technology (LM-91), Università degli Studi di Milano-Bicocca, Università degli Studi di Milano, Università degli Studi di Pavia, Italy:

  • A.Y. 2025/2026: Intelligent Monitoring and Control Systems (4 CFU, 32 hours).
  • A.Y. 2024/2025: Intelligent Monitoring and Control Systems (4 CFU, 32 hours).
  • A.Y. 2023/2024: Intelligent Monitoring and Control Systems (6 CFU, 56 hours).

Lecturer for the following courses within the M.Sc. degree course in Sicurezza informatica (LM-66 R), Università degli Studi di Milano:

  • A.Y. 2025/2026: Intelligenza artificiale per la sicurezza e la privatezza (1 CFU, 8 hours).

Lecturer for the following courses within the M.Sc. degree course in Sustainable Natural Resource Management (LM-73), Università degli Studi di Milano, Italy:

  • A.Y. 2025/2026: Data Management (3 CFU, 32 hours).
  • A.Y. 2024/2025: Data Management (0.5 CFU, 8 hours).
  • A.Y. 2023/2024: Data Management (0.5 CFU, 8 hours).
  • A.Y. 2022/2023: Data Management (3 CFU, 48 hours).

4.2. Teaching activities for Ph.D. programs

Lecturer for the following courses within the Ph.D. School in Computer Science, Università degli Studi di Milano, Italy:

  • A.Y. 2025/2026: Advanced Deep Learning for Visual Understanding: Representation, Compression, and Explainability (2 CFU, 10 hours) (March 2026).
  • A.Y. 2024/2025: Optimized Artificial Intelligence in Edge Computing and IoT (2 CFU, 10 hours) (January 2025).
  • A.Y. 2023/2024: Advanced Artificial Intelligence Models and Methods (2 CFU, 10 hours) (March 2024).

4.3. Teaching support activities

Teaching support for the following courses within the M.Sc. degree course in Computer Science, Università degli Studi di Padova, Italy:

  • A.Y. 2021/2022: Vision and Cognitive Services (20 hours).
  • A.Y. 2020/2021: Vision and Cognitive Services (25 hours).
  • A.Y. 2019/2020: Vision and Cognitive Services (25 hours).

4.4. Ph.D. Co-supervision

  • Co-supervisor of the following Ph.D. student within the Ph.D. program in Computer Science, Università degli Studi di Milano:
    • Antonio Fusillo, “Trustworthy vision foundation models”, October 2024 - September 2027 (XL cohort).

4.5. Theses supervision / co-supervision

  • Supervisor of 6 M.Sc. theses for the M.Sc. in Artificial Intelligence for Science and Technology (LM-91) of the consortium composed by the Università degli Studi di Milano, Università degli Studi di Milano-Bicocca and Università degli Studi di Pavia. The theses focused on efficient methodologies for semantic segmentation in constrained environments, as well as AI techniques for generative and predictive modeling.
  • Co-supervisor of 2 M.Sc. theses for the M.Sc. in Artificial Intelligence for Science and Technology (LM-91) of the same consortium. The theses focused on guided approaches for pedestrian detection under heavy occlusions and on interpretable methods for depth estimation.
  • Co-supervisor of 8 M.Sc. theses at the Università degli Studi di Milano, Department of Computer Science, Italy. The theses focused on optimization techniques for efficient neural network training, as well as innovative monitoring systems for self-driving cars and video surveillance applications.
  • Co-supervisor of 8 M.Sc. theses at the Università degli Studi di Padova, Department of Mathematics, Italy. The theses focused on signal and image processing, autonomous driving, trajectory prediction in crowded environments, and attention-based and recurrent neural models.
  • Opponent of 4 M.Sc. theses within the M.Sc. degree course in Artificial Intelligence for Science and Technology (LM-91) of the Università degli Studi di Milano, Università degli Studi di Milano-Bicocca and Università degli Studi di Pavia, Italy.

5. Education and research activities in national and international institutes

5.1. Participation in international schools

  • IEEE-EURASIP Summer School on Signal Processing (S3P-2017), sponsored by the IEEE Signal Processing Society Italy Chapter, with attendance certification (with passing of final exam), Capri, Italy, September 4 - September 8, 2017.
  • PhD School on Advanced Topics in Deep Learning, University of Verona, Speakers: Timothy M. Hospedales and Henry Gouk, Verona, Italy, May 27 - May 31, 2019.

5.2. Visits in international research centers

  • Visiting Researcher at the Multimedia Laboratory, University of Toronto, ON, Canada (June 1, 2024 - September 30, 2024).
    The research activity, carried out under the supervision of Prof. Konstantinos Plataniotis, focuses on the development and analysis of explainable Vision Transformer (ViT)-based models for industrial applications. Algorithms for searching efficient yet robust neural architectures were analyzed. The project also explored knowledge distillation methods and compact attention-based mechanisms to improve the training efficiency of neural networks.
  • Visiting Researcher at the Symbiosis Institute of Technology, Pune, 412115, India (May 2, 2023 - May 12, 2023).
    The research activities, conducted in collaboration with Prof. Kethan Kotecha and Prof. Rahee Walambe, as part of the project titled “Multimodal Explainability for Object Detection and Image Processing in Drone Imagery,” are related to the Executive Program for Scientific and Technological Cooperation between the Republics of Italy and India for the years 2022-2024, funded by the Indian Government and the Italian Ministry of Foreign Affairs and International Cooperation (MFAI). The project aimed to develop neural network-based models for intelligent monitoring using drones.
  • Visiting Researcher at the NATO Centre for Maritime Research and Experimentation (NATO STO-CMRE), La Spezia, Italy (August 22, 2016 - December 23, 2016).
    The research activities were performed under the supervision of Dr. Paolo Braca, Senior Scientist at the NATO STO-CMRE, and regarded the realization of novel unsupervised techniques to automatically extract graph-based models of commercial maritime traffic routes from historical Automatic Identification System (AIS) data. The research focused on the main elements of maritime traffic patterns, such as maneuvering regions and sea-lanes. Vessel motion dynamics were taken into account by multiple stochastic processes. The work aimed to reveal spatial points representative of velocity changes of cargo vessels. The research activities resulted in the publication of a conference paper and an article in an international journal.
  • Visiting Student at the Department of Mathematics, Università degli Studi di Padova, Italy (September 18, 2017 - November 18, 2017).
    The research activities, carried out under the supervision of Prof. Lamberto Ballan, focused on developing models for predicting pedestrian movement in complex scenarios. Innovative models for prediction in urban scenarios were developed by considering contextual information. The research led to the publication of an article in an international journal, an article in the proceedings of an international conference, and a book chapter.
  • Visiting Student at the Media Integration and Communication Center (MICC), University of Florence, Italy (April 2, 2017 - April 9, 2017).
    The research activity, carried out under the supervision of Dr. Lamberto Ballan, focused on the analysis of datasets for predicting pedestrian movement in urban scenarios.

6. National and international research projects

Principal Investigator (PI) of the following research projects funded by European Institutions.

  • 4EU+ European University Alliance - SEED4EU+ Call
    Project Title: Efficiency and Trustworthiness in Computational AI (ETIC-AI)
    Funding: €50,000
    Duration: January 2026 - December 2026

Task Leader of the following research projects funded by the European Commission.

  • EU Horizon Europe Framework Programme 2020 KDT JU Research and Innovation Actions (RIA)
    Project Title: Edge AI Technologies for Optimised Performance Embedded Processing (EdgeAI)
    Duration: September 2025 - June 2026

Head of Research Unit for the following research projects funded by the University of Milan.

  • Piano di Sostegno alla Ricerca (PSR) 2025
    Project Title: Data-driven and AI-based solutions for effective information governance
    Funding: €27,200
    Duration: 2025 - 2026

Participation as Researcher in the following research projects funded by the European Commission.

  • NextGenerationEU - Piano Nazionale di Ripresa e Resilienza (PNRR)
    Project Title: SEcurity and RIghts in the CyberSpace (SERICS)
    Duration: January 2023 - December 2025
  • EU Horizon Europe, HORIZON Research and Innovation Actions (RIA)
    Project Title: Green responsibLe privACy preservIng dAta operaTIONs (GLACIATION)
    Duration: October 2022 - September 2025
  • EU Horizon Europe Framework Programme 2020 KDT JU Research and Innovation Actions (RIA)
    Project Title: Edge AI Technologies for Optimised Performance Embedded Processing (EdgeAI)
    Duration: December 2022 - June 2026

Participation as Researcher in the following research projects funded by the Ministry of University and Research.

  • National Operational Programme (PON) “Research and Innovation 2014-2020”
    Project Title: Green Lean Production through Artificial Intelligence (GLEAN)
    Duration: February 2022 - February 2025
  • Projects of Relevant National Interest (PRIN) 2017
    Project Title: PRediction of activities and Events by Vision in an Urban Environment (PREVUE) - 2017N2RK7K_003 PE6
    Duration: September 2019 - September 2022
  • National Operational Programme (PON) - MAR.TE PON03PE_185_1
    Project Title: Integrating Sea-Land Logistics - Governance models, reconfiguration and monitoring of port and interport logistics activities
    Duration: October 2014 - January 2019

Participation as Researcher in the following research projects funded by the Ministry of Foreign Affairs and International Cooperation.

  • Italy-India Scientific and Technological Cooperation
    Project Title: Multimodal Explainability for Object Detection and Image Processing in Drone Imagery
    Duration: December 2022 - December 2024

7. Participation in national and international research groups

7.1. Organizational activities for research laboratories

  • Participation in the activities of the Industrial, Environmental, and Biometric Informatics Laboratory (IEBIL) at the Università degli Studi di Milano, Department of Computer Science, Italy (2022 - Present).
  • Participation in the activities of the Multimedia Laboratory, ECE Department, University of Toronto (June 2024 - Present).
  • Participation in the activities of the Visual Intelligence and Machine Perception (VIMP) group at Università degli Studi di Padova, Department of Mathematics, Italy (February 2019 - February 2022).
  • Participation in the activities of the Telecommunication Laboratory at Università degli Studi della Campania, Department of Industrial and Information Engineering, Italy (October 2014 - January 2019).

7.2 Collaboration with national and international research groups

The research activities were also carried out in collaboration with the following national and international entities (including during participation in research projects or contracts): École Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Università degli Studi di Padova, Italy; Centre for Maritime Research and Experimentation (NATO STO-CMRE), Italy; Università di Modena e Reggio Emilia, Italy; Università degli Studi di Firenze, Italy; Università degli Studi di Catania, Italy; Stanford University, USA; University of Connecticut, USA; Wuyi University, China; Symbiosis Institute of Technology (SIT), India; STMicroelectronics, Italy; Robert Bosch GmbH, Germany; SINTEF, Norway; SCM Group, Italy.

The specific topics are outlined below, along with the various research groups and institutions.

  • Collaboration with the University of Toronto, Canada (June 2024 - Present).
    Within the collaboration with Prof. Konstantinos N. Plataniotis, the research activities focus on the development of explainable artificial intelligence methods, as well as on the analysis and application of artificial intelligence models in industrial contexts. This collaboration is also carried out through participation in the activities of the Multimedia Laboratory at the Electrical and Computer Engineering (ECE) Department.
  • Collaboration with Wuyi University, Guangdong, China (July 2021 - Present).
    Within the collaboration with Prof. Yikui Zhai, the research activities focus on the development and application of artificial intelligence methods to design innovative approaches for change detection (CD) systems. These systems evaluate differences in images captured at different times to assess changes in terms of structures, environmental variations, and intelligent monitoring. The research activities have led to the publication of several articles in international journals.
  • Collaboration with the University of Milan, Italy (June 2021 - Present).
    Within the collaboration with Prof. Vincenzo Piuri, the research activities are focused on the development and application of artificial intelligence methods aimed at reducing environmental impact, optimizing resource usage while maintaining unchanged performance, mainly tested in industrial contexts. The research activities have led to the publication of several journal articles, conference papers, and one book chapter.
  • Collaboration with STMicroelectronics, Catania, Italy (October 2022 - Present).
    Within the collaboration with Dr. Francesco Rundo, the research activities focus on innovative optimization approaches based on signal and image processing and artificial intelligence models, with particular attention to generative models for edge devices. The collaboration led to the publication of one conference paper.
  • Collaboration with the University of Padua, Italy (April 2016 - June 2022).
    Within the collaboration with Prof. Lamberto Ballan, the research activities focused on modeling complex systems characterized by human interactions, prediction of future intentions and positions, and fusion of contextual factors. The collaboration led to one journal article and seven conference papers.
  • Collaboration with the Symbiosis Institute of Technology (SIT), Pune, India (December 2022 - December 2024).
    The research activity, carried out with Prof. Kethan Kotecha and Prof. Rahee Walambe, aimed to develop methodologies and architectures for intelligent monitoring using drones, including tracking and prediction techniques in urban scenarios.
  • Collaboration with the “Enzo Ferrari” Department of Engineering, University of Modena and Reggio Emilia, Italy (February 2019 - June 2022).
    Research carried out within the PRIN project “PREVUE”, focusing on neural network-based time-series prediction, knowledge distillation, and pedestrian motion prediction. The collaboration led to one journal article and two conference papers.
  • Collaboration with the Department of Mathematics and Computer Science, University of Catania, Italy (February 2019 - January 2022).
    The collaboration focused on anticipating human actions in egocentric scenarios using knowledge distillation and multimodal LSTM-based frameworks, leading to one conference publication.
  • Collaboration with the NATO STO Centre for Maritime Research and Experimentation (CMRE), La Spezia, Italy (August 2016 - October 2018).
    Research carried out within the Visiting Research Program (VRP), focusing on pattern recognition and computational intelligence methods for extracting maritime routes from AIS data. The collaboration led to one journal article and one conference paper.
  • Collaboration with the Department of Industrial and Information Engineering, University of Campania “Luigi Vanvitelli”, Italy (October 2014 - January 2019).
    Research carried out with Prof. Francesco A.N. Palmieri, focusing on modeling interacting agents in urban and maritime scenarios and intelligent monitoring, leading to two journal articles and four conference papers.

8. Invited speaker at international institutions, conferences, and research centers

Keynote speaker at the following international institutions, conferences, and research centers:

  • “Transparent and Reliable AI for Visual Industrial Anomaly Detection”, 9th International Conference on Advances in Artificial Intelligence (ICAAI 2025), Manchester, United Kingdom, November 14-16, 2025.
  • “Optimized Image Synthesis for Industrial Scenarios”, 14th International Conference on Cloud Computing, Data Science & Engineering (CONFLUENCE 2024), technically co-sponsored by Springer, Virtual, January 18-19, 2024.

Invited seminars at the following international institutions, conferences, and research centers:

  • “Image Synthesis for Industrial and Environmental Scenarios,” Tata Institute of Fundamental Research, Colaba, Mumbai, India, May 10, 2023.
  • “Predictive Models for Urban Monitoring,” Vidyalankar Institute of Technology, Wadala, India, May 9, 2023.
  • “Image-to-Image Translation for Industrial Applications,” St. Francis Institute of Technology, Borivali, India, May 8, 2023.
  • “Trajectory Forecasting for Crowded Scenarios,” Symbiosis Institute of Technology, Pune, India, May 4, 2023.

Tutorial at the following international conference:

  • Artificial Intelligence for Image Synthesis in Smart Manufacturing and Environmental Applications, IEEE I2MTC International Instrumentation and Measurement Technology Conference, Glasgow, Scotland, May 20-23, 2024.

Speaker at the following conferences and workshops:

  • “Synthetic and (Un)Secure: Evaluating Generalized Membership Inference Attacks on Image Data”, 22nd International Conference on Security and Cryptography (SECRYPT), Bilbao, Spain, June 11-13, 2025.
  • “Features Disentanglement for Explainable Convolutional Neural Networks”, 31st International Conference on Image Processing (ICIP 2024), Abu Dhabi, UAE, October 27-30, 2024.
  • “Adversarial Defect Synthesis for Industrial Products in Low Data Regime”, 30th International Conference on Image Processing (ICIP 2023), Kuala Lumpur, Malaysia, October 8-11, 2023.
  • “Tree-based Optimization for Image-to-Image Translation with Imbalanced Datasets on the Edge”, IEEE CIVEMSA 2023, Virtual, June 12, 2023.
  • “Applications and Limits of Image-to-Image Translation Models”, 24th International Conference on Digital Signal Processing (DSP 2023), Island of Rhodes, Greece, June 11-13, 2023.
  • “A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata”, 25th International Conference on Pattern Recognition (ICPR 2020), Virtual, January 10-15, 2021.
  • “Unsupervised Maritime Traffic Graph Learning with Mean-Reverting Stochastic Processes”, 21st International Conference on Information Fusion (FUSION 2018), Cambridge, England, July 10-13, 2018.
  • “Spatial Model for Maritime Traffic Representation Using Multiple Ornstein-Uhlenbeck Processes”, 1st Italian Radar and Remote Sensing Workshop (GTTI), Università di Napoli Parthenope, Naples, Italy, May 25-26, 2017.
  • “Linear Artificial Forces for Human Dynamics in Complex Contexts”, 26th Italian Workshop on Neural Networks (WIRN 2018), Vietri sul Mare, Italy, June 13-15, 2018.
  • “Point-based Path Prediction from Polar Histograms”, 19th International Conference on Information Fusion (FUSION 2016), Heidelberg, Germany, July 5-8, 2016.
  • “3-D Hand Pose Estimation from Kinect's Point Cloud Using Appearance Matching”, 23rd Italian Workshop on Neural Networks (WIRN 2015), Vietri sul Mare, Italy, May 18-20, 2015.

9. Awards for the research activities

  • Best Paper Award 2021 from the Image and Vision Computing Journal (Elsevier) for the article “Long-term path prediction in urban scenarios using circular distributions”, P. Coscia, F. Castaldo, F. A.N. Palmieri, A. Alahi, S. Savarese and L. Ballan.
  • Outstanding Reviewer Award for the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
  • IEEE Senior Member (2024).
  • Best Paper Candidate for the article “Synthetic and (Un)Secure: Evaluating Generalized Membership Inference Attacks on Image Data”, P. Coscia, S. Ferrari, V. Piuri and A. Salman, presented at the 22nd International Conference on Security and Cryptography (SECRYPT), Bilbao, Spain, June 11-13, 2025.

10. Professional and service activities

10.1. Memberships

  • IEEE Senior Member
  • IEEE Young Professionals

He obtained a Professional Engineer License and is registered in the Italian Order of Information Technology Engineers (Section A, No. 4619).

10.2. Organizational activities for scientific associations

Co-chair:

  • IEEE Instrumentation and Measurement Society, TC-22: Intelligent Measurement Systems (July 2023 - Present).

Secretary:

  • Computational Intelligence Society (CIS) Chapter IEEE Italy Section (January 2024 - December 2027).
  • Systems Council Chapter IEEE Italy Section (January 2024 - December 2025).
  • IEEE Instrumentation and Measurement Society, TC-22: Intelligent Measurement Systems (January 2023 - June 2023).

Member of commissions for scientific awards:

  • Best Paper Awards 2024, promoted by the Computational Intelligence Society (CIS) Chapter - IEEE Italy Section.

10.3. Organization of international conferences

Program Co-Chair organizer in international conference:

  • 2025 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (IEEE CIVEMSA), June 12 - 14, 2025.

Workshop co-organizer in international conferences:

  • Workshop on Edge Intelligence: Smart, Efficient, and Scalable Solutions for IoT, Wearables, and Embedded Devices (SEEDS), in conjunction with the International Conference on Image Processing (ICIP), Anchorage, Alaska, September 14 - 17, 2025.
  • 2nd Workshop on Benchmarking Trajectory Forecasting Models (BTFM), in conjunction with the International Conference on Computer Vision (ICCV), Virtual, October 16, 2021.
  • 1st Workshop on Benchmarking Trajectory Forecasting Models (BTFM), in conjunction with the European Conference on Computer Vision (ECCV), Virtual, August 28, 2020.

Special session organizer in international conference:

  • “AI for Industrial and Environmental Applications”, 24th International Conference on Digital Signal Processing (DSP 2023), Island of Rhodes, Greece, June 11-13, 2023.

Session Chair in international conference:

  • 2025 22nd International Conference on Security and Cryptography (SECRYPT 2025), Bilbao, Spain, June 11-13, 2025.
    • Session “Security and Privacy”
  • 2025 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2025), Pireo, Greece, June 12-14, 2025.
    • Sessions: “Industry 2”, “Security 2”, “Health 2”, “Methodologies”, “Health 3”.
  • 2023 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2023), Virtual, June 12, 2023.
    • Session “Medical Imaging”

Associate TPC Chair in international conference:

  • IEEE I2MTC International Instrumentation and Measurement Technology Conference, Nancy, France, May 25-28, 2026.
    • Track: “Digitalization, Machine Learning and Big Data for Instrumentation and Measurement”.
  • IEEE I2MTC International Instrumentation and Measurement Technology Conference, Chemnitz, Germany, May 19-22, 2025.
    • Track: “Digitalization, Machine Learning and Big Data for Instrumentation and Measurement”.

Program committee member of international conferences/workshops:

  • 2026 23rd International Conference on Security and Cryptography (SECRYPT), Porto, Portugal, July 16-18, 2026.
  • 2026 IEEE International Conference on Artificial Intelligence, Systems, and Emerging Technologies (IEEE/ICAISET26), AlShorouk Academy, Egypt, April 21-23, 2026.
  • 2026 1st IEEE International Conference on Speech, Multimodal, and Advanced Communication Systems (ICSMACS), Algiers, Algeria, June 29-30, 2026.
  • 2026 7th Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC), Dalian, China, May 22-24, 2026.
  • 2025 IEEE International Conference on AI for Sustainable Innovation (IEEE AI-SI), Kuala Lumpur, Malaysia, August 26-28, 2025.
  • 2025 22nd International Conference on Security and Cryptography (SECRYPT), Bilbao, Spain, June 11-13, 2025.
  • 2025 7th IEEE International Conference on Computer and Applications (IEEE-ICCA), Arab Open University, Bahrain, December 22-24, 2025.
  • 2025 30th International Conference on Information, Communication and Automation Technologies (ICAT), Sarajevo, Bosnia and Herzegovina, September 2-4, 2025.
  • 2025 6th Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC), Dalian, China, April 18-20, 2025.
  • 2024 7th International Conference on Artificial Intelligence and Pattern Recognition (AIPR), Xiamen, China, September 20-22, 2024.
  • 12th IEEE International Conference on Intelligent Systems (IS), Varna, Bulgaria, August 29-31, 2024.
  • 2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), Xi’an, China, June 14-16, 2024.
  • 2024 5th Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC), Dalian, China, April 12-14, 2024.
  • 2023 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), Virtual, June 12, 2023.
  • 29th International Conference on Information, Communication and Automation Technologies (ICAT), Sarajevo, Bosnia and Herzegovina, June 11-14, 2023.
  • 10th International Workshop on Assistive Computer Vision and Robotics (ACVR), Tel Aviv, Israel, October 24, 2022.
  • 9th International Workshop on Assistive Computer Vision and Robotics (ACVR), Montreal, Canada, October 11, 2021.
  • 8th International Workshop on Assistive Computer Vision and Robotics (ACVR), Glasgow, UK, August 28, 2020.
  • 2nd Workshop on Long-term Human Motion Prediction (LHMP), Virtual, June 2, 2020.
  • 27th ACM International Conference on Multimedia (ACMMM), Nice, France, October 21-25, 2019.

10.4. Editorial activities for international journals

Associate Editor of one international journal:

  • IEEE Systems Journal (May 2025 - Present).

Guest Editor of Special Issues:

  • “Deep Learning for Industrial Applications”, in Frontiers in Computer Science, Frontiers Media, 2024. Co-editors: Konstantinos Plataniotis (University of Toronto, Canada), Bijaya Panigrahi (Indian Institute of Technology, India), Yikui Zhai (Wuyi University, China).

Co-Editor of international conference proceedings:

  • “International Conference on Innovations in Engineering and Emerging Technologies” (ICIEET 2025), in IOS Press, book title: “Advancements in Smart Innovations, Intelligent Systems, and Technologies” in the series Frontiers in Artificial Intelligence and Applications (FAIA).

Reviewer for international conferences:

  • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR); IEEE International Conference on Computer Vision (ICCV); IEEE Winter Conference on Applications of Computer Vision (WACV); International Conference on Pattern Recognition (ICPR); International Conference on Image Analysis and Processing (ICIAP); ACM International Conference on Multimedia (ACMMM); IEEE International Conference on Robotics and Automation (ICRA); International Conference on Information Fusion (FUSION); IEEE International Radar Conference (RadarConf); IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

Reviewer for international journals:

  • IEEE Transactions on Big Data; IEEE Transactions on Signal Processing; IEEE Transactions on Information Forensics & Security; IEEE Transactions on Human-Machine Systems; IEEE Transactions on Multimedia; Springer The Visual Computer; IEEE Aerospace and Electronic Systems Magazine; Elsevier Neural Networks; IEEE Communications Letters; Springer Machine Vision and Applications.

10.5. Teaching activities in summer schools

  • Seminar “Explainable and generative modelling on the edge for industrial applications”, EDGE AI Academy Summer School - 2025, Scuola Superiore Sant'Anna, Pisa, Italia, July 7-8, 2025.
  • Seminar “Predictive Modeling in Urban Context” (1.5 hours), 4EU+ Summer School on Artificial Intelligence, Gargnano del Garda, August 15-19, 2022.

10.6. Service activities

President of committees:

  • Committee “Orientamento in entrata” within the Consiglio di Coordinamento Didattico of the M.Sc. degree in Artificial Intelligence for Science and Technology (LM-91), Università degli Studi di Milano, Università degli Studi di Milano-Bicocca and Università degli Studi di Pavia (November 2023 - Present).

Member of the doctoral program boards for the following PhD courses:

  • Ph.D. in Computer Science, Università degli Studi di Milano (2024/2025 - Present).

Member of academic boards:

  • M.Sc. degree in Artificial Intelligence for Science and Technology (LM-91) (2022/2023 - Present).
  • M.Sc. degree in Sustainable Natural Resource Management (LM-73), Università degli Studi di Milano (2022/2023 - Present).
  • M.Sc. degree in Informatica (LM-18), Università degli Studi di Milano (2023/2024 - Present).

Member of committees for international student admissions:

  • M.Sc. degree in Informatica (LM-18), Università degli Studi di Milano (2024/2025 - Present).

10.7. Winner of public selection processes

  • Tenure-Track researcher, Università degli Studi di Milano, Italy.
  • Researcher (Non-Tenure Track), Università degli Studi di Milano, Italy.
  • 3 research grants, Università degli Studi di Padova, Italy.
  • Three-year scholarship for the funding of doctoral research programs (XXXI cohort), Università degli Studi della Campania, Italy.
  • Research contract, Università degli Studi della Campania, Italy.

11. Publications

See the Publications page.