[logseq-plugin-git:commit] 2026-02-13T15:19:55.278Z

assets/16-2410516-cv_signed_1770807860005_0.edn

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assets/18-2400222-2025Ott_Curriculum_PRENCIPE_1770808005999_0.edn

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assets/18-2405760-Palomba_Curriculum_1770807961116_0.edn

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assets/8-2392411-cv-en-signed_1770807900202_0.edn

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assets/ALESII_Roberto_Prog_Ric_1770995900272_0.edn

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assets/Convocazione_DISIM_10.02.2026_INTEGRATO_1770729029569_0.edn

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+               :content {:text "9.1 Utilizzo finanziamento di Ateneo 2026 per rinnovo Assegni e nuovi Incarichi di Ricerca"},
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+               :content {:text "Researcher (RTDb) in Control System Engineering University of L’Aquila"},
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+               :content {:text " unified framework for the design of quantized sampled-data eventtriggered controllers taking into account state, input, and output delays is still missing in the literature"},
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+               :content {:text " digital controllers for nonlinear systems taking simultaneously into account: (i) the presence of both sampling and quantization (possibly non-uniform) in the input/output channels; (ii) the presence of state, input and output time-delays; (iii) the use of event-triggered strategies for the managing of the communication resources; (iv) the presence of uncertainties in the considered digital control scheme, such as actuation disturbances and sensors errors."},
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+               :content {:text "P. Pepe, S. Di Gennaro,"},
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+               :content {:text ", Alessia Di Fonso, Gabriele Di Stefano"},
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+               :content {:text " Il progetto propone di sviluppare modelli per stimare il rischio di incendio e formulare problemi di ottimizzazione utili a limitare l’impatto degli incendi sul territorio. "},
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+               :content {:text "progettare algoritmi di coordinamento e pianificazione per sistemi multi-robot da impiegare in attività di monitoraggio e intervento a supporto della gestione degli incendi."},
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+                                   :y2 431.125,
+                                   :width 992.2,
+                                   :height 1403.1999999999998}),
+                          :page 5},
+               :content {:text "i risultati scientifici maggiormente rilevanti in ambito internazionale;- le esperienze di organizzazione scientifica e direzione della ricerca;- le attività di insegnamento e di supervisione di tesi nell’ambito di programmi relativi al dottorato di ricerca e di post dottorato, anche in rapporto alle carriere accademiche successive dei soggetti supervisionati;- i ruoli e gli incarichi ricoperti presso organismi universitari o Enti pubblici di ricerca;- i rapporti con la ricerca industriale o di supporto scientifico ad organismi pubblici;- le attività di divulgazione scientifica"},
+               :properties {:color "green"}}
+              {:id #uuid "697ca90a-63d4-4fad-8860-7566462c9485",
+               :page 4,
+               :position {:bounding {:x1 94.39584350585938,
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+                          :page 4},
+               :content {:text "pubblicazioni scientifiche e il curriculum dell’attività scientifica e didattica presentati dalle candidate/dai candidati"},
+               :properties {:color "green"}}],
+ :extra {:page 2}}

assets/DR_nomina_commissione_PO_INFO-01_prot_1769777167323_0.edn

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+               :page 1,
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+                                   :height 1401.6}),
+                          :page 1},
+               :content {:text "Prof.ssa Tiziana Calamoneri, Sapienza Università di Roma;- Prof. Davide Di Ruscio, Università degli Studi dell’Aquila;- Prof.ssa Edith Elkind, Northwestern University"},
+               :properties {:color "green"}}
+              {:id #uuid "697caa12-4742-4dd9-9922-2f41ff5cbac3",
+               :page 1,
+               :position {:bounding {:x1 154.42709350585938,
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+                                   :height 1401.6}
+                                  {:x1 154.42709350585938,
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+                          :page 1},
+               :content {:text "Presidente di Commissione la Prof.ssa Tiziana Calamoneri e quale Segretario il Prof. Davide Di Ruscio"},
+               :properties {:color "green"}}],
+ :extra {:page 1}}

assets/Decreto_Ministeriale_n.226_del_14-12-2021_1711484078266_0.edn

@@ -981,4 +981,4 @@
                           :page 10},
                :content {:text "6. Gli oneri per il finanziamento delle borse di studio di cui al comma 5 possono essere coperti mediante convenzione con soggetti estranei all’amministrazione universitaria, secondo modalità e procedure deliberate dagli organi competenti delle università"},
                :properties {:color "green"}}],
- :extra {:page 1}}
+ :extra {:page 3}}

assets/Decreto_Ministeriale_n._630_del_24-04-2024_1714455918933_0.edn

@@ -188,4 +188,4 @@
                           :page 24},
                :content {:text "concorrenza del costo complessivo della borsa"},
                :properties {:color "green"}}],
- :extra {:page 1}}
+ :extra {:page 22}}

assets/PICCIONI_Alex_avv_ric_1770995626079_0.edn

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+                          :page 7},
+               :content {:text "Alla luce di queste considerazioni, il progetto si propone di studiare e valutare strategie di gestione dinamica della rete per supportare la connettività aerea dei veicoli UAM tramite architetture O-RAN e tecniche avanzate di Traffic Steering."},
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+                                   :height 1403.3333333333333}),
+                          :page 7},
+               :content {:text "garantire un collegamento stabile e continuo ai veicoli aerei in volo, assegnandoli dinamicamente alle gNB meno congestionate sulla base del carico della rete e delle traiettorie pianificate, con un’attenzione particolare al mantenimento della qualità del servizio per le comunicazioni critiche C2. "},
+               :properties {:color "green"}}],
+ :extra {:page 7}}

assets/REGOLAMENTO_Dottorati_Ricerca_Modifica_DR_rep_597_01_06_2023_1705409017565_0.edn

@@ -341,5 +341,40 @@
                                    :height 1391.6033057851237}),
                           :page 14},
                :content {:text "International Doctorate"},
-               :properties {:color "red"}}],
+               :properties {:color "red"}}
- :extra {:page 6}}
+              {:id #uuid "69861161-b7db-449c-b99b-0fc7aa524a2e",
+               :page 4,
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+                                  {:x1 73.08333841711283,
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+                                  {:x1 73.08333841711283,
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+                                  {:x1 73.08333841711283,
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+                          :page 4},
+               :content {:text "Possono far parte del Collegio dei Docenti, nella misura massima di un terzo della composizione complessiva del medesimo, anche esperti, pur non appartenenti a Università o Enti pubblici di ricerca, in possesso di elevata e comprovata qualificazione scientifica e professionale in ambiti di ricerca coerenti con gli obiettivi formativi del corso di dottorato, adeguatamente attestata dal Collegio dei Docenti"},
+               :properties {:color "blue"}}],
+ :extra {:page 4}}

assets/Regolamento_reclutamento_professori_GSSI_1769777122289_0.edn

@@ -0,0 +1 @@
+{:highlights [], :extra {:page 3}}

assets/blob.php.edn

@@ -206,4 +206,4 @@
                           :page 5},
                :content {:text "l’indicazione del trattamento economico complessivo"},
                :properties {:color "green"}}],
- :extra {:page 2}}
+ :extra {:page 1}}

assets/brogliaccio_seduta_del_20260210_1770729103693_0.edn

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+{:highlights [{:id #uuid "698b2f38-e712-44ee-b7f0-e5945fb65c86",
+               :page 138,
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+               :content {:text "9.2 Dottorato di Ricerca in Ingegneria e Scienze dell'Informazione – richiesta rinnovo - XLII Ciclo - a. a. 2026/2027"},
+               :properties {:color "green"}}
+              {:id #uuid "698b2f81-a9ad-4a20-a46f-4d93ebf673fe",
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+                          :page 207},
+               :content {:text "Requisiti di partecipazione"},
+               :properties {:color "yellow"}}
+              {:id #uuid "698b3bd2-eebf-477d-b06e-45ae18457fef",
+               :page 156,
+               :position {:bounding {:x1 96.18750508129597,
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+                          :page 156},
+               :content {:text "Posti richiesti n. 8 di cu"},
+               :properties {:color "green"}}
+              {:id #uuid "698b3bea-8a78-4627-94db-a3b37d0e9d04",
+               :page 139,
+               :position {:bounding {:x1 64.04166920483112,
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+                          :page 139},
+               :content {:text "Numero massimo di posti per il quale si richiede l’accreditamento: 15"},
+               :properties {:color "green"}}],
+ :extra {:page 217}}

journals/2026_01_29.md

@@ -10,7 +10,8 @@ boox-notes:: ![BOOX Notes](../assets/../../onyx/TabUltraCPro/Notepad/JOURNALING.
 	- ### Notes
 		- Meeting CM3 [[PROJECTS/MOSAICO]]
 		  type:: [[meeting]]
-			- WP4
+			- WP3
+			  collapsed:: true
 				- ![image.png](../assets/image_1769671414296_0.png)
 				- ![image.png](../assets/image_1769671513452_0.png)
 				- ![image.png](../assets/image_1769671605759_0.png)
@@ -49,6 +50,49 @@ boox-notes:: ![BOOX Notes](../assets/../../onyx/TabUltraCPro/Notepad/JOURNALING.
 						- This needs to be discusssed but the constraint based specifications will be trasleted as requests to the repository API
 				- ![image.png](../assets/image_1769674423475_0.png)
 					- For the consensus at certain point, humans might be involved. The reference agents will take care of this human-in-the-loop step
+				- ![image.png](../assets/image_1769675036866_0.png)
+				- ![image.png](../assets/image_1769675098624_0.png)
+					- ACL - Agent Communication Library
+				- ![image.png](../assets/image_1769675185370_0.png)
+				- ![image.png](../assets/image_1769675290508_0.png)
+				- ![image.png](../assets/image_1769675381847_0.png)
+				- ![image.png](../assets/image_1769675404747_0.png)
+					- They have developed a small DSL to specify what the agent does and they have also developed a transformation to generate the corresponding agent card.
+					- It seems we can simplify the agent data model by removing attributes related to BDI [[Notes]]
+			- WP4
+			  collapsed:: true
+				- ![image.png](../assets/image_1769677103771_0.png)
+				- ![image.png](../assets/image_1769677121726_0.png)
+				- ![image.png](../assets/image_1769677210875_0.png)
+				- ![image.png](../assets/image_1769677271502_0.png)
+				- ![image.png](../assets/image_1769677335081_0.png)
+				- ![image.png](../assets/image_1769677469777_0.png)
+				- ![image.png](../assets/image_1769677481214_0.png)
+					- "Run-time" metamodel
+				- ![image.png](../assets/image_1769677543799_0.png)
+				- ![image.png](../assets/image_1769677563832_0.png)
+					- Kubernetes becasuse they have an explicit governance process.
+				- ![image.png](../assets/image_1769677720969_0.png)
+				- ![image.png](../assets/image_1769677755937_0.png)
+					- That's interesting. Very few projects have an explicit governance process.
+				- ![image.png](../assets/image_1769677843753_0.png)
+					- Maybe this was not in 2015
+				- ![image.png](../assets/image_1769677975417_0.png)
+				- ![image.png](../assets/image_1769678283609_0.png)
+				- ![image.png](../assets/image_1769678392403_0.png)
+				- ![image.png](../assets/image_1769678441623_0.png)
+					- The idea is to translate this graphical notation towards more specific technologies like Claude-Flow, OpenAI Swarm, Langchain Deep Agents, etc.
+				- ![image.png](../assets/image_1769678841659_0.png)
+				-
+			- WP5
+				- ![image.png](../assets/image_1769681054539_0.png)
+				- ![image.png](../assets/image_1769681113918_0.png)
+				- ![image.png](../assets/image_1769681169969_0.png)
+					- It seems there is a problem with MS4 which is due at M18 even though in the description of work is due at M21
+					- It has been solved. At M18 we need to have all the components. At M21 we will have the first version of the integrated platform.
+				- ![image.png](../assets/image_1769681296351_0.png)
+				- ![image.png](../assets/image_1769681483919_0.png)
+				- ![image.png](../assets/image_1769683956961_0.png)
 				-
 			- ### **Questions**
 				- {{query (and [[question]] [[29-01-2026]] )[[question]]}}

journals/2026_01_30.md

@@ -0,0 +1,11 @@
+progress:: {{renderer :todomaster}}
+icon:: 📅
+boox-notes:: ![BOOX Notes](../assets/../../onyx/TabUltraCPro/Notepad/JOURNALING.pdf)
+
+	- ### Tasks
+		- {{query (and (task TODO) [[30-01-2026]])}}
+		  query-table:: true
+		  query-properties:: [:block]
+		- ...
+	- ### Notes
+		- [[SERVICES/2026 - Prima Fascia GSSI]]

journals/2026_02_10.md

@@ -0,0 +1,33 @@
+progress:: {{renderer :todomaster}}
+icon:: 📅
+boox-notes:: ![BOOX Notes](../assets/../../onyx/TabUltraCPro/Notepad/JOURNALING.pdf)
+
+	- ### Tasks
+	  collapsed:: true
+		- {{query (and (task TODO) [[10-02-2026]])}}
+		  query-table:: true
+		  query-properties:: [:block]
+		- ...
+	- ### Notes
+		- **Consiglio Dipartimento [[SERVICES/ConsiglioDisim]]**
+			- type:: [[meeting]]
+			  external-links:: 
+			  tags:: [[SERVICES/ConsiglioDisim]]  [[Convocazioni]] 
+			  date:: [[10-02-2026]] - 14:08
+			  duration-min::
+			  file-brogliaccio:: ![brogliaccio_seduta_del_20260210.pdf](../assets/brogliaccio_seduta_del_20260210_1770729103693_0.pdf)
+			  file-odg:: ![Convocazione_DISIM_10.02.2026 INTEGRATO.pdf](../assets/Convocazione_DISIM_10.02.2026_INTEGRATO_1770729029569_0.pdf)
+				- ((698b3de6-8a12-43f3-82b3-737f5609c61d))
+				  collapsed:: true
+					- ![image.png](../assets/image_1770734010464_0.png)
+					- ![image.png](../assets/image_1770734163782_0.png)
+					- ![image.png](../assets/image_1770734176748_0.png)
+				- ((698b2f25-bea8-4077-8e63-25b424a316e2))
+				  collapsed:: true
+					- ((698b2f38-e712-44ee-b7f0-e5945fb65c86))
+					- 6 corsi ad-hoc aggiuntivi
+					- ((698b3bd2-eebf-477d-b06e-45ae18457fef))
+						- 8 posti 6 con borsa + 2 senza
+						- ((698b3bea-8a78-4627-94db-a3b37d0e9d04))
+				- ((698b2f58-171d-4d33-b79b-ed900d175434))
+					- ((698b2f81-a9ad-4a20-a46f-4d93ebf673fe))

journals/2026_02_12.md

@@ -0,0 +1,13 @@
+progress:: {{renderer :todomaster}}
+icon:: 📅
+boox-notes:: ![BOOX Notes](../assets/../../onyx/TabUltraCPro/Notepad/JOURNALING.pdf)
+
+	- ### Tasks
+		- {{query (and (task TODO) [[12-02-2026]])}}
+		  query-table:: true
+		  query-properties:: [:block]
+		- ...
+	- ### Notes
+		- **Meeting [[SoftwareMiningGroup]]**
+		  tags:: [[meeting]], [[SoftwareMiningGroup]]
+			-

pages/ECMFA2026_17.md

@@ -0,0 +1,24 @@
+type:: [[REVIEWS]]
+tags:: 
+year:: 2026
+venue:: 
+full-title:: **A Model-Driven Approach To Support The Understanding Of Machine Learning Pipelines**
+date-start:: [[04-02-2026]] - 10:16
+date-submitted::
+external-links::
+status:: [[DOING]]
+deadline-submission:: 
+file:: /zotero 
+parent::
+todoist:: https://app.todoist.com/app/task/14-nicolas-lacroix-mireille-blay-fornarino-philippe-collet-frederic-precioso-and-6frhCMhFhcFm3hPc
+
+	- ### [[Comments]]
+		- SUMMARY: This paper is about the critical challenge of keeping the consistency between a metamodel and its corresponding grammar during language evolution in model-driven engineering settings. The authors propose a method based on Large Language Models to automate grammar adaptation by learning from historical version changes, specifically by comparing an original generated grammar with its manually adapted counterpart to propagate those changes to a newly evolved version. The study evaluates three different models (i.e., Claude Sonnet 4.5, ChatGPT 5.1, and Gemini 3) against a rule-based baseline using six real-world domain-specific languages and a longitudinal case study of the QVTo language across four official versions. Results show that for small-to-medium scale grammars, the LLM-based approach achieves perfect rule-level adaptation consistency and output similarity, outperforming rule-based methods in complex scenarios such as those involving syntactic predicates or order-insensitive attribute combinations. However, the research also identifies that LLMs struggle with large-scale grammars like EAST-ADL, exhibiting systematic omissions despite having a sufficient context window.
+		- COMMENTS: The paper is about a critical problem, which has been investigated for years by the modeling and programming communities. I enjoyed reading the paper, which is well-written and structured. I liked the empirical demonstration of how LLMs compare to traditional rule-based tools. While rule-based approaches rely on predefined transformation rules that often fail when encountering nested optionality or complex backtracking structures, the LLM-based method successfully captures the underlying design intent by observing historical examples.  
+		  
+		  I have only a few suggestions for improvements:
+		-
+			- While the authors specify using the web interface of Claude Sonnet 4.5 for initial refinements, providing more detail on the automation (if any) of the subsequent cross-model evaluations would enhance the reproducibility of the experiments
+		- Additionally, the paper would benefit from explicitly summarizing the identified boundaries into actionable guidelines, clearly delineating the specific grammar constructs where LLMs are highly recommended versus the scale thresholds where they begin to fail. Such a recap would bridge the gap between theoretical findings and practical software engineering applications.
+		- The following sentence in the introduction: "Results show that on the 72 test set DSLs, all three LLMs achieved 100% Rule-level Adap- 73 tation Consistency (RAC) and 100% output similarity, while 74 the rule-based approach achieved 84.21% RAC ..." can be confusing because the metric name ("Rule-level...") sounds similar to the "rule-based" approach. Finding an alternative way to solve the confusion would help.
+-

pages/ECMFA2026_30.md

@@ -0,0 +1,22 @@
+collapsed:: true
+type:: [[REVIEWS]]
+tags:: 
+year:: 2026
+venue:: [[ECMFA]] 
+full-title:: Endotrophic Models: Formalizing Inter-Model Consistency and Semantic Overlap
+date-start:: [[05-02-2026]] - 21:41
+date-submitted::
+external-links::
+status:: [[DOING]]
+deadline-submission:: 
+file::
+parent::
+todoist:: https://app.todoist.com/app/task/30-colin-atkinson-mattias-ulbrich-romain-pascual-and-erik-burger-endotrophic-mod-6frhCMrvj87rRx9c
+
+	- ### [[Comments]]
+		- Summary: The paper addresses the problem that large systems are described through multiple heterogeneous artefacts (e.g., different models, schemas, constraints, rule fragments) that may partially overlap and evolve independently, making it hard to reason uniformly about what each artefact implies, where constraints fail, and what happens when artefacts are combined. To address this, the authors propose Endotrophic Models (EMs) as a small rule-based "semantic back-end" based on function-free Horn rules plus denial constraints. An EM computes (1) a least-fixpoint closure of what can be derived, (2) explicit witnesses that show which constraints are violated (with concrete bindings), and (3) a query interface that can behave in an open-world or closed-world way for facts that are not derived. The paper then defines several analysis notions for single models and for composed models (syntactic union), and illustrates them with a small running example.
+		- Comments: The paper is about a relevant problem, and the core idea of separating “what you can derive” from “which constraints are violated” is interesting because it makes violations explicit. However, my main concern about the paper is about the presentation as discussed below:
+			- The paper becomes technical very early (atoms, fixpoints, witnesses, policies), and the reader has to wait until later to see a concrete multi-model example. Even though Section 4 provides a running example, I suggest to add a very small, intuitive example in Section 1 or at the start of Section 2 involving two or three recognisable modelling artefacts (e.g., a small UML-ish domain model + OCL-like constraint + an access-policy rule set, or a schema+view+constraint combination). Then reuse this example to explain (i) what becomes a fact, (ii) what becomes a rule, (iii) what becomes a denial, (iv) what composition means, and (v) how a composite-only conflict/witness looks.
+			- The paper claims heterogeneous artefacts can be mapped into the EM kernel. A short, end-to-end walkthrough that maps one familiar modelling artefact (e.g., a diagram plus an invariant) into facts, derivation rules, and denials would clarify what is assumed from the user/tooling and how semantic overlap is established in practice. Table 1 aligns "modeler-facing" terms with formal terminology, but it is still not fully clear how this alignment relates to typical modelling stacks (model/metamodel, transformations/weaving, trace links, etc.), nor how semantic correspondences/overlap are obtained or assumed.
+			- The formal development and operators are well-structured, but the paper would benefit from stronger evidence that the operators (overlap, amplification, redundancy exposure, conflict sets) answer practitioners' questions effectively beyond the running example. Even a small "experience report" style discussion (e.g., what scale is feasible, typical numbers of predicates/facts/denials, what kinds of conflicts are found) would improve the overall quality of the paper.
+			-

pages/ECMFA_2026_15.md

@@ -0,0 +1,24 @@
+collapsed:: true
+type:: [[REVIEWS]]
+tags:: 
+year:: 2026
+venue:: [[ECMFA]] 
+full-title:: A Model-Driven Approach To Support The Understanding Of Machine Learning Pipelines
+date-start:: [[04-02-2026]] - 19:20
+date-submitted::
+external-links::
+status:: [[DONE]] 
+deadline-submission:: 
+file::
+parent::
+todoist:: https://app.todoist.com/app/task/14-nicolas-lacroix-mireille-blay-fornarino-philippe-collet-frederic-precioso-and-6frhCMhFhcFm3hPc
+
+	- ### [[Comments]]
+		- Summary: This paper proposes a model-driven approach to improve the understanding of ML pipelines. The core idea is to reverse-engineer pipeline code into a lightweight, UML-based representation, and then incrementally enrich it with semantic annotations produced by profiling functions. The authors introduce a dedicated pattern language (Canopus) to query and compare pipelines, and they validate the approach on a corpus of 105 Kaggle notebooks, illustrating use cases such as structural filtering, compliance checking, and iterative refinement for (anti-)pattern investigation.
+		- Comments: Overall, I find the paper interesting and well motivated. My main minor concern is about the positioning of the related work. Section 3 does a good job at covering model querying approaches (OCL, IncQuery) and graph query languages, and it argues that many of these approaches either assume a stable/rich metamodel or introduce accidental complexity when expressing ML-specific motifs over pipelines. However, I do not see an explicit discussion of existing, widely used "pipeline modeling languages" and environments from the data mining/data science tooling ecosystem (not necessarily from the MDE community) that already let users design and execute pipelines with reusable constructs (e.g., Knime, Orange, RapidMiner). Given the topic and the paper's claims about supporting pipeline understanding and analysis, I think the reader expects at least a short paragraph explaining why these systems are out of scope (e.g., prescriptive design/execution vs descriptive reverse engineering of arbitrary code) and what the conceptual relationship is (complementary, alternative, potential integration). Without this, the impression is that the language and tooling were devised in isolation from an important body of relevant practice.
+		- Related to this, I would like the paper to clarify more directly how Canopus relates to tools like Orange. Orange gives users a "language" (even if mostly graphical) to assemble pipelines out of reusable blocks, while Canopus is presented as a language to query reverse-engineered pipelines. That difference is likely the key novelty, but it is not stated clearly enough: are you trying to eventually model pipelines for execution, or are you strictly targeting understanding/quality control of existing pipelines? If the latter, it would help to say so explicitly and explain why importing/describing pipelines from Orange/Knime/RapidMiner is not the focus (and whether it could become a source of descriptive models in future work).
+		- On the modeling side, I understand the rationale for a lightweight structural core plus an extensible description mechanism, and I agree that this separation can be a good way to avoid overfitting to a fixed taxonomy. That said, the generalizability of the approach still looks fragile in practice, because the utility of the patterns depends heavily on the availability and correctness of the attached semantic descriptions (step categories, functions, libraries, etc.). The paper mentions that the metamodel can be extended with new Information subclasses (benchmarks, model properties such as number of layers or tree depth), but it is not clear "how" from an engineering point of view: does this extension require only (i) adding new Information types in the metamodel and (ii) writing new profiling functions, or do users also need to adjust extraction rules and migrations of the persisted knowledge base? A brief concrete example would make the extensibility claim much more convincing.
+		- The evaluation section also exposes a major threat to validity: classification quality. The whole pipeline querying story works only if the profiling functions and the mapping from code instructions to step categories are reliable. You reuse the parser and classification mapping from Biswas et al. and extend it with function-name extraction, but the paper does not provide enough detail on how the step classification is performed, and how robust the conclusions are to misclassification. Interestingly, later in the evaluation, you explicitly detect a classification issue (DMatrix being labeled as Modeling instead of Data Preparation), and you acknowledge that such issues can affect results and interpretation. This is good and honest, but I think it should be treated more explicitly as a limitation/threat earlier, because it underpins all compliance checking patterns such as "Data Acquisition" or "Data Preparation".
+		- I also have a minor presentation concern about the "findings" and "observations" and the numbering. The evaluation references "Finding 3/4/5" and then lists "Observation 1/2/3"; to me, they read very similar in nature, and the numbering starting at 3 is confusing. Please, also clarify what you mean by "finding" vs "observation", because as it stands, it is not obvious that the distinction is meaningful for the reader.
+		- Finally, the compliance-checking results raise a wording issue about "representative pipeline". You report that the strict pattern has no matches and that even a relaxed variant matches only 15 pipelines, which you correctly note is small for something presented as "representative" in the original article, and you explain (at least partially) via the infrequency of Evaluation steps. This is a valuable critique, but it would be good to be more explicit about the interpretation: is the point that the "representative pipeline" is more of an idealized template than an empirically common structure, or that the operationalization via your patterns does not align with the original study's notion of representativeness?
+-

pages/GOALS-TODOIST.md

@@ -107,9 +107,8 @@ progress:: {{renderer :todomaster}}
 - TODO Richiesta afferenza al Collegio di Mauro Cappelli, ricercatore all’Enea
 - TODO [#C] Vedere per compenso per la De Masi
 - TODO [#B] [[PAPERS/Journal-Green-Paper]]
-- TODO [#C] Rivedere Composizione Collegio
+- TODO [#B] Rivedere Composizione Collegio
   todoist-id:: [8750396305](https://app.todoist.com/app/task/8750396305)
-  SCHEDULED: <2026-01-31 Sat>
   :LOGBOOK:
   CLOCK: [2025-06-04 Wed 21:44:39]--[2025-06-04 Wed 23:46:56] =>  02:02:17
   :END:

pages/GSSI Committee Documents – Draft Minutes and Regulation.md

@@ -0,0 +1,15 @@
+tags:: #todoist-task [[SERVICES]]  
+date:: [[11-02-2026]] - 10:57
+progress:: {{renderer :todomaster}}
+
+	- ### Tasks
+		-
+	- ### Notes
+		- [CONCORSO GSSI - Dropbox](https://www.dropbox.com/home/CONCORSO%20GSSI?sharing_recipient_info=ACm1hYHVKyVn3_xT6P_T5JhWiIebwTpdatp1xoLcSPXFfVkUf6Y0ekt5UoXxDLuyzrigm-iZdD6w9_sRAuH3Hnl1leWrFD2z8tQwO3JOUxV_X-xPffYhN6z4QF6TiNF_Z4So3i6hb1tA-YD4nSF7ikZNndJk3Lf2YSTOZjbTtZ3C-6V-6409dvSxRg8FEUnfYUM)
+		- ![DR 184-Bando prima fascia INFO-01 _prot (1).pdf](../assets/DR_184-Bando_prima_fascia_INFO-01_prot_(1)_1770815645570_0.pdf)
+			- ((698c80c5-dff0-4d3c-909a-2e39b9bf04af))
+		- **Candidati**
+			- ![CV CAFARO](../assets/16-2410516-cv_signed_1770807860005_0.pdf)
+			- ![CV D'ANGELO](../assets/8-2392411-cv-en-signed_1770807900202_0.pdf)
+			- ![CV PALOMBA](../assets/18-2405760-Palomba_Curriculum_1770807961116_0.pdf)
+			- ![CV PRENCIPE](../assets/18-2400222-2025Ott_Curriculum_PRENCIPE_1770808005999_0.pdf)

pages/KaraKeep-Highlights.md

@@ -1,5 +1,5 @@
 icon:: ✏️
-generation_time:: [[2026-01-29]] T08:00:25Z
+generation_time:: [[2026-02-13]] T15:00:45Z
 
 - # **TODOs and IDEAs**
 	- {{query (and [[TODO]] [[KaraKeep-Highlights]] (or [[Ideas]] [[KaraKeep-Highlights]]))}}
@@ -64,6 +64,28 @@ generation_time:: [[2026-01-29]] T08:00:25Z
 	  background-color:: green
 		- > **Note:** Il Coraggio di vivere
 
+- ## **LangChain Unveils Four Multi-Agent Architecture Patterns for AI Development**
+  source:: https://blockchain.news/news/langchain-multi-agent-architecture-patterns-guide
+  url:: https://karakeep.diruscio.org/dashboard/preview/fiaojtcvh7y42zbs9f5qt7ul
+  tags:: [[Artificial Intelligence]] [[Developer-Tools]] [[Machine Learning]] [[Multi-Agent Systems]] [[Software-Architecture]]
+	- detailed framework for building multi-agent AI systems, arriving as the AI infrastructure space heats up with competing approaches from Google and Microsoft in recent weeks
+	  background-color:: green
+	- Context management becomes the first bottleneck. Specialized knowledge for multiple capabilities simply won't fit in a single prompt. The second constraint is organizational—different teams need to develop and maintain capabilities independently, and monolithic agent prompts become unmanageable across team boundaries
+	  background-color:: green
+	- Anthropic's research validates the approach. Their multi-agent system using Claude Opus 4 as lead agent with Claude Sonnet 4 subagents outperformed single-agent Claude Opus 4 by 90.2% on internal research evaluations. The key advantage: parallel reasoning across separate context windows.
+	  background-color:: green
+		- > **Note:** This is important to support the seminar at Milano Bicocca
+	- The Four Patterns
+	  background-color:: blue
+		- > **Note:** #IMPORTANT #MOSAICO
+	- A supervisor agent calls specialized subagents as tools, maintaining conversation context while subagents remain stateless
+	  background-color:: blue
+	- Routers classify input and dispatch to specialized agents in parallel, synthesizing results. Enterprise knowledge bases querying multiple sources simultaneously benefit here. Stateless by design, which means consistent per-request performance but repeated routing overhead for conversations
+	  background-color:: green
+	- LangChain's Deep Agents
+	  background-color:: blue
+		- > **Note:** TODO Da vedere per #MOSAICO
+
 - ## **LangChain and LangGraph Agent Frameworks Reach v1.0 Milestones**
   source:: https://blog.langchain.com/langchain-langgraph-1dot0/
   url:: https://karakeep.diruscio.org/dashboard/preview/gfuwsnyaj3k8sglws9kncv27

pages/Lavori commissione Progetti di Ateneo per la Ricerca di Base e Avvio alla Ricerca per l'anno 2026.md

@@ -0,0 +1,31 @@
+- **Avvio Alla Ricerca**
+	- ING	DI FERDINANDO 	Mario	R T D B
+		- ![DI FERDINANDO_Mario_Avvio_ric.pdf](../assets/DI_FERDINANDO_Mario_Avvio_ric_1770994985511_0.pdf)
+	- ING	DI FONSO	Alessia	Assegnista di ricerca
+		- ![DI FONSO_Alessia_Avvio_Ric.pdf](../assets/DI_FONSO_Alessia_Avvio_Ric_1770995179290_0.pdf)
+	- ING	PICCIONI 	Alex	Assegnista di ricerca
+		- ![PICCIONI Alex_avv_ric.pdf](../assets/PICCIONI_Alex_avv_ric_1770995626079_0.pdf)
+- **Progetti di Ricerca di Base**
+	- ING	ALESII	Roberto	RTD A
+		- ![ALESII_Roberto_Prog_Ric.pdf](../assets/ALESII_Roberto_Prog_Ric_1770995900272_0.pdf)
+	- INF	BILO'	Davide	PA
+		- ![BILO'_Davide_PROG_Ric.pdf](../assets/BILO'_Davide_PROG_Ric_1770995907108_0.pdf)
+	- ING	CICERONE	Serafino	PA
+		- ![CICERONE_Serafino_Prog_Ric_signed.pdf](../assets/CICERONE_Serafino_Prog_Ric_signed_1770995917300_0.pdf)
+	- INF	COSTANTINI	Stefania	PO
+		- ![COSTANTINI_Stefania_Signed (1).pdf](../assets/COSTANTINI_Stefania_Signed_(1)_1770995924292_0.pdf)
+	- INF	DI MARCO	Antinisca	P A
+		- ![DI MARCO_Antinisca_prog_ric.pdf](../assets/DI_MARCO_Antinisca_prog_ric_1770995933623_0.pdf)
+	- INF	NGUYEN	Phuong	PA
+		- ![NGUYEN Phuong_Thanh_Prog_Ric.pdf](../assets/NGUYEN_Phuong_Thanh_Prog_Ric_1770995942325_0.pdf)
+	- INF	PERSIA	Fabio	PA
+		- ![PERSIA_Fabio_Prog_Ric.pdf](../assets/PERSIA_Fabio_Prog_Ric_1770995948765_0.pdf)
+	- INF	PIERANTONIO 	Alfonso	P O
+		- ![PIERANTONIO Alfonso_Prog_Ric.pdf](../assets/PIERANTONIO_Alfonso_Prog_Ric_1770995955665_0.pdf)
+	- ING	POMANTE	 Luigi 	P A
+		- ![POMANTE_Luigi_prog_ric.pdf](../assets/POMANTE_Luigi_prog_ric_1770995961763_0.pdf)
+	- INF	TRAINI	Luca	RTD A
+		- ![TRAINI_Luca_Prog_Ric..pdf](../assets/TRAINI_Luca_Prog_Ric._1770995969803_0.pdf)
+	-
+- Progetti di Ricerca
+-

pages/Planner.md

@@ -1,12 +1,16 @@
 icon:: 📅
 
 - ## Tasks
+	- Concorso GSSI
+	- Valutazione Progetti di Ateneo
+	- PhD
+		- Stato Review tesi
+		- Dottorato industriale
+		- Check piattaforma PNRR Dottorato
 	- Reviews
-	- Condividere offerta formativa dottorato con EULIST
+	-
-	- Check piattaforma PNRR Dottorato
 	- ---
-	- Dare un push alla questione Paco
+	- Questione Paco
-		- Quanto deve essere l'importo dell'incarico di ricerca per una mensilità di circa 2'200?
 	- Organizzazione Tool demo track at MODELS
 	- Organizzazione Workshop RadioLabs
 		- Sentire Simone Gianfranceschi

pages/SERVICES___2026 - Prima Fascia GSSI.md

@@ -0,0 +1,11 @@
+- ![Regolamento reclutamento professori GSSI.pdf](../assets/Regolamento_reclutamento_professori_GSSI_1769777122289_0.pdf)
+- ![DR nomina commissione_PO INFO-01_prot.pdf](../assets/DR_nomina_commissione_PO_INFO-01_prot_1769777167323_0.pdf)
+- ![DR 184-Bando prima fascia INFO-01 _prot.pdf](../assets/DR_184-Bando_prima_fascia_INFO-01_prot_1769777225667_0.pdf)
+	- **Commissione**
+		- ((697caa03-8593-4e26-8af4-c0214d455c26))
+		- ((697caa12-4742-4dd9-9922-2f41ff5cbac3))
+	- **Medaglioni**
+		- ((697ca85d-d5d1-48d2-abe5-165b48f338d8))
+	- **Titoli**
+		- ((697ca90a-63d4-4fad-8860-7566462c9485))
+		- ((697ca8d5-b938-4a1d-abaf-68411d0c0439))

pages/SERVICES___PHDICT.md

@@ -160,6 +160,7 @@ progress:: {{renderer :todomaster}}
 	  query-table:: true
 	  collapsed:: true
 - ## **TASKS**
+  collapsed:: true
 	- {{query (and [[SERVICES/PHDICT]] (task TODO DOING) (not [[GOALS-TODOIST]]) (not [[TODOIST-LOGSEQED]]))}}
 	  query-table:: true
 	  query-sort-by:: block
@@ -572,12 +573,13 @@ progress:: {{renderer :todomaster}}
 - ## 2022/2023 #DM351 #DM352 #[[XXXVIII Ciclo]]
 	- Decreti Ministeriali n. 351, n. 352 del 9 aprile 2022 e n. 925 del 29 luglio 2022
 - ## REGOLAMENTI
-  collapsed:: true
 	- [[@REGOLAMENTO_Dottorati_Ricerca_Modifica_DR_rep_597_01_06_2023.pdf]] [[STAR]]
 		- ![REGOLAMENTO_Dottorati_Ricerca_Modifica_DR__rep_597_01_06_2023.pdf](../assets/REGOLAMENTO_Dottorati_Ricerca_Modifica_DR_rep_597_01_06_2023_1705409017565_0.pdf)
 			- ((65a67a30-5794-4a02-83cc-94275264adb3))
 				- ((65a67a51-c86c-41fd-a93d-44df652a7c01))
 				  id:: 65a67a37-1862-4c97-b497-ac9883e8281a
+			- ((69861161-b7db-449c-b99b-0fc7aa524a2e))
+				- [Elenco Enti - Miur](https://www.istruzione.it/archivio/web/ricerca/enti-di-ricerca/elenco-enti.html)
 	- [Decreto Ministeriale n.226 del 14-12-2021 | Ministero dell'Università e della Ricerca (mur.gov.it)](https://www.mur.gov.it/it/atti-e-normativa/decreto-ministeriale-n226-del-14-12-2021)
 		- ![Decreto Ministeriale n.226 del 14-12-2021.pdf](../assets/Decreto_Ministeriale_n.226_del_14-12-2021_1711484078266_0.pdf) [[STAR]]
 		  id:: 68584ed7-9cdb-439a-a339-9a61640037df

pages/TODOIST P1.md

@@ -0,0 +1,2 @@
+-
+- <iframe src="https://app.todoist.com/app/filter/today-p1-2356742764" style="width: 100%; height: 600px"></iframe>

pages/TODOIST-LOGSEQED.md

@@ -47,7 +47,7 @@ progress:: {{renderer :todomaster}}
   :LOGBOOK:
   CLOCK: [2025-06-20 Fri 22:58:39]--[2025-06-30 Mon 15:43:41] =>  232:45:02
   :END:
-- TODO [#A] [[Call per posizioni MOSAICO]]
+- DONE [#A] [[Call per posizioni MOSAICO]]
   todoist-desc:: logseq://graph/Logseq?page=Call%20per%20posizioni%20MOSAICO
   todoist-id:: [8663268357](https://app.todoist.com/app/task/8663268357)
   :LOGBOOK:
@@ -73,7 +73,7 @@ progress:: {{renderer :todomaster}}
   SCHEDULED: <2025-06-19 Thu>
 - TODO [#B] [[Aggiornamento uso fondi progetti]]
   todoist-id:: [9143259271](https://app.todoist.com/app/task/9143259271)
-  SCHEDULED: <2026-01-31 Sat>
+  SCHEDULED: <2026-02-14 Sat>
 - DONE [#A] [[Invited talk at LLMA4SE Summer School website]]
   todoist-desc:: From: chemacm@unex.es
   todoist-id:: [9201031612](https://app.todoist.com/app/task/9201031612)
@@ -136,7 +136,7 @@ progress:: {{renderer :todomaster}}
   todoist-id:: [9277838289](https://app.todoist.com/app/task/9277838289)
 - TODO [#A] [[Acquisto CASA Pescara]]
   todoist-id:: [9401023109](https://app.todoist.com/app/task/9401023109)
-  SCHEDULED: <2026-02-02 Mon 09:00>
+  SCHEDULED: <2026-02-25 Wed 09:00>
 - DONE [#A] [[PAPERS/2026-SANER-RENE-PERFORMANCE-BUG-DETECTION]]
   todoist-desc:: Paper submission deadline: 16 Ottobre
   todoist-id:: [9402725388](https://app.todoist.com/app/task/9402725388)
@@ -174,7 +174,7 @@ progress:: {{renderer :todomaster}}
   SCHEDULED: <2025-11-21 Fri>
 - TODO [#B] [[Benchmarking framework]]
   todoist-id:: [9524235429](https://app.todoist.com/app/task/9524235429)
-  SCHEDULED: <2026-01-30 Fri 12:00>
+  SCHEDULED: <2026-02-12 Thu 12:00>
   :LOGBOOK:
   CLOCK: [2025-12-16 Tue 16:19:32]--[2025-12-17 Wed 16:06:00] =>  23:46:28
   :END:
@@ -192,7 +192,7 @@ progress:: {{renderer :todomaster}}
 - TODO [[MODELS 2027]]
   todoist-desc:: From: daniel.varro@liu.se
   todoist-id:: [9794701704](https://app.todoist.com/app/task/9794701704)
-  SCHEDULED: <2026-01-31 Sat>
+  SCHEDULED: <2026-02-14 Sat>
 - DONE [#A] [[PAPERS/2025-IEEESOFTWARE-AGENTIC-SI]]
   todoist-desc:: Resubmission of ELSEVIER IST: Your Submission - INFSOF-D-25-00633
   todoist-id:: [9322035676](https://app.todoist.com/app/task/9322035676)
@@ -203,11 +203,11 @@ progress:: {{renderer :todomaster}}
 - TODO [[Deliverable D3.2]]
   todoist-desc:: [MOSAICO D3.2 - Online LaTeX Editor Overleaf](https://www.overleaf.com/project/693c083f94f20a5d73e1824c)
   todoist-id:: [9822333606](https://app.todoist.com/app/task/9822333606)
-  SCHEDULED: <2026-01-28 Wed>
+  SCHEDULED: <2026-02-12 Thu>
 - TODO [#A] [[TOOL DEMO TRACK - MODELS 2026 Organizing Committee]]
   todoist-desc:: From: lolaburgueno@uma.es
   todoist-id:: [9789940282](https://app.todoist.com/app/task/9789940282)
-  SCHEDULED: <2026-01-31 Sat>
+  SCHEDULED: <2026-02-12 Thu>
 - DONE [#B] [[PAPERS/J-2026-JSS-RAGGuard]]
   todoist-desc:: *Paper rifiutato a SANER 2026 (I commenti sono* [Document shared with you: ‘SANER2026-RAGGuard-Reviews’ - davide.diruscio@gmail.com - Gmail](https://mail.google.com/mail/u/0/#all/FMfcgzQdzmXLPrtWwckTPvVSQhrHDXGf))
   todoist-id:: [9892059786](https://app.todoist.com/app/task/9892059786)
@@ -215,4 +215,8 @@ progress:: {{renderer :todomaster}}
 - TODO [#B] [[PAPERS/J-Collaborative-Development]]
   todoist-desc:: WebLink: [Outlook](https://outlook.office365.com/owa/?ItemID=AAMkADM1NGNiNjk0LTY0ZGUtNDgzOC04MDM5LWNhODNkYWNjNjU4YwBGAAAAAACT6qp78kRgRKuUMBdWEga%2FBwCOhWlC8F7PRKzlljZYZYQmAAAAAAEMAACOhWlC8F7PRKzlljZYZYQmAAiaRHodAAA%3D&exvsurl=1&viewmodel=ReadMessageItem)
   todoist-id:: [9919300374](https://app.todoist.com/app/task/9919300374)
-  SCHEDULED: <2026-01-30 Fri>
+  SCHEDULED: <2026-02-13 Fri>
+- TODO [#A] [[GSSI Committee Documents – Draft Minutes and Regulation]]
+  todoist-id:: [9819317769](https://app.todoist.com/app/task/9819317769)
+  todoist-desc:: [Web Link](https://outlook.office365.com/owa/?ItemID=AAkALgAAAAAAHYQDEapmEc2byACqAC%2FEWg0AjoVpQvBez0Ss5ZY2WGWEJgAIgIklWAAA&exvsurl=1&viewmodel=ReadMessageItem)
+  SCHEDULED: <2026-02-11 Wed>

pages/hls__16-2410516-cv_signed_1770807860005_0.md

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+file:: [16-2410516-cv_signed_1770807860005_0.pdf](../assets/16-2410516-cv_signed_1770807860005_0.pdf)
+file-path:: ../assets/16-2410516-cv_signed_1770807860005_0.pdf

pages/hls__18-2400222-2025Ott_Curriculum_PRENCIPE_1770808005999_0.md

@@ -0,0 +1,2 @@
+file:: [18-2400222-2025Ott_Curriculum_PRENCIPE_1770808005999_0.pdf](../assets/18-2400222-2025Ott_Curriculum_PRENCIPE_1770808005999_0.pdf)
+file-path:: ../assets/18-2400222-2025Ott_Curriculum_PRENCIPE_1770808005999_0.pdf

pages/hls__18-2405760-Palomba_Curriculum_1770807961116_0.md

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+file:: [18-2405760-Palomba_Curriculum_1770807961116_0.pdf](../assets/18-2405760-Palomba_Curriculum_1770807961116_0.pdf)
+file-path:: ../assets/18-2405760-Palomba_Curriculum_1770807961116_0.pdf

pages/hls__8-2392411-cv-en-signed_1770807900202_0.md

@@ -0,0 +1,2 @@
+file:: [8-2392411-cv-en-signed_1770807900202_0.pdf](../assets/8-2392411-cv-en-signed_1770807900202_0.pdf)
+file-path:: ../assets/8-2392411-cv-en-signed_1770807900202_0.pdf

pages/hls__ALESII_Roberto_Prog_Ric_1770995900272_0.md

@@ -0,0 +1,2 @@
+file:: [ALESII_Roberto_Prog_Ric_1770995900272_0.pdf](../assets/ALESII_Roberto_Prog_Ric_1770995900272_0.pdf)
+file-path:: ../assets/ALESII_Roberto_Prog_Ric_1770995900272_0.pdf

pages/hls__Convocazione_DISIM_10.02.2026_INTEGRATO_1770729029569_0.md

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+file:: [Convocazione_DISIM_10.02.2026_INTEGRATO_1770729029569_0.pdf](../assets/Convocazione_DISIM_10.02.2026_INTEGRATO_1770729029569_0.pdf)
+file-path:: ../assets/Convocazione_DISIM_10.02.2026_INTEGRATO_1770729029569_0.pdf
+
+- 9.2 Dottorato di Ricerca in Ingegneria e Scienze dell'Informazione – richiesta rinnovo - XLII Ciclo - a.a.2026/2027
+  ls-type:: annotation
+  hl-page:: 1
+  hl-color:: green
+  id:: 698b2f25-bea8-4077-8e63-25b424a316e2
+- 9.4 Richiesta emissione Bando per n.1 Incarico di Ricerca Sviluppo di approcci Model-Driven per la definizione di framework di benchmarking per agenti LLM-based a supporto dell'Ingegneria del Software – responsabile scientifico prof. Davide Di Ruscio
+  ls-type:: annotation
+  hl-page:: 1
+  hl-color:: green
+  id:: 698b2f58-171d-4d33-b79b-ed900d175434
+- 9.1 Utilizzo finanziamento di Ateneo 2026 per rinnovo Assegni e nuovi Incarichi di Ricerca
+  ls-type:: annotation
+  hl-page:: 1
+  hl-color:: green
+  id:: 698b3de6-8a12-43f3-82b3-737f5609c61d

pages/hls__DI_FERDINANDO_Mario_Avvio_ric_1770994985511_0.md

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+file:: [DI_FERDINANDO_Mario_Avvio_ric_1770994985511_0.pdf](../assets/DI_FERDINANDO_Mario_Avvio_ric_1770994985511_0.pdf)
+file-path:: ../assets/DI_FERDINANDO_Mario_Avvio_ric_1770994985511_0.pdf
+
+- Researcher (RTDb) in Control System Engineering University of L’Aquila
+  ls-type:: annotation
+  hl-page:: 1
+  hl-color:: green
+  id:: 698f3d3f-b245-49be-9ea6-0a811bbf7af9
+- unified framework for the design of quantized sampled-data eventtriggered controllers taking into account state, input, and output delays is still missing in the literature
+  ls-type:: annotation
+  hl-page:: 4
+  hl-color:: green
+  id:: 698f3d66-998d-4775-aa9a-221e779ccf98
+- digital controllers for nonlinear systems taking simultaneously into account: (i) the presence of both sampling and quantization (possibly non-uniform) in the input/output channels; (ii) the presence of state, input and output time-delays; (iii) the use of event-triggered strategies for the managing of the communication resources; (iv) the presence of uncertainties in the considered digital control scheme, such as actuation disturbances and sensors errors.
+  ls-type:: annotation
+  hl-page:: 4
+  hl-color:: green
+  id:: 698f3d74-be06-4b30-bfbf-ebba3bf0d157
+- P. Pepe, S. Di Gennaro,
+  ls-type:: annotation
+  hl-page:: 2
+  hl-color:: green
+  id:: 698f3e0e-22b9-47de-a2bb-c8a9201b0896

pages/hls__DI_FONSO_Alessia_Avvio_Ric_1770995179290_0.md

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+file:: [DI_FONSO_Alessia_Avvio_Ric_1770995179290_0.pdf](../assets/DI_FONSO_Alessia_Avvio_Ric_1770995179290_0.pdf)
+file-path:: ../assets/DI_FONSO_Alessia_Avvio_Ric_1770995179290_0.pdf
+
+- , Alessia Di Fonso, Gabriele Di Stefano
+  ls-type:: annotation
+  hl-page:: 3
+  hl-color:: green
+  id:: 698f3e28-c774-4d85-91d9-c74c23e3d393
+- Il progetto propone di sviluppare modelli per stimare il rischio di incendio e formulare problemi di ottimizzazione utili a limitare l’impatto degli incendi sul territorio. 
+  ls-type:: annotation
+  hl-page:: 4
+  hl-color:: green
+  id:: 698f3e49-2265-4057-b335-6453f28697f7
+- progettare algoritmi di coordinamento e pianificazione per sistemi multi-robot da impiegare in attività di monitoraggio e intervento a supporto della gestione degli incendi.
+  ls-type:: annotation
+  hl-page:: 4
+  hl-color:: green
+  id:: 698f3e51-b670-4176-b16d-74cba026bff0