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As computational thinking (CT) becomes increasingly acknowledged as an important skill in education, self-directed learning (SDL) emerges as a key strategy for developing this capability. The advent of generative AI (GenAI) conversational agents has disrup ...

Data races have long been a notorious problem in concurrent programming. They are subtle to detect, and lead to non-deterministic behaviours. There has been a lot of interest in type systems that statically guarantee data race freedom. Significant progress ...

Type inference in the presence of first-class or "impredicative" second-order polymorphism a la System F has been an active research area for several decades, with original works dating back to the end of the 80s. Yet, until now many basic problems remain ...

Today's continued increase in demand for processing power, despite the slowdown of Moore's law, has led to an increase in processor count, which has resulted in energy consumption and distribution problems. To address this, there is a growing trend toward ...

Formal verification of real-world software systems remains challenging for a number of reasons, including lack of automation, friction in specifying properties, and limited support for the diverse programming paradigms used in industry. In this thesis we m ...

High-level synthesis (HLS) tools typically generate statically scheduled datapaths. Static scheduling implies that the resulting circuits have a hard time exploiting parallelism in code with potential memory dependences, with control dependences, or where ...

Programming has changed; programming languages have not. Modern software embraced reusable software components, i.e., public libraries, and runs in the cloud, on machines that co-locate applications from various origins. This new programming paradigm leads ...

We present an automated approach to verify the correctness of programming assignments, such as the ones that arise in a functional programming course. Our approach takes as input student submissions and reference solutions, and uses equivalence checking to ...

Non-Volatile Memory (NVM) is an emerging type of memory device that provides fast, byte-addressable, and high-capacity durable storage. NVM sits on the memory bus and allows durable data structures designs similar to the in-memory equivalent ones. Expensiv ...

Adaptability and ease of programming are key features necessary for a wider spread of robotics in factories and everyday assistance. Learning from demonstration (LfD) is an approach to address this problem. It aims to develop algorithms and interfaces such ...

Resistive switching memory technologies (RRAM) are seen by most of the scientific community as an enabler for Edge-level applications such as embedded deep Learning, AI or signal processing of audio and video signals. However, going beyond a "simple'' repl ...

Trusted Execution Environments (TEEs), such as Intel SGX enclaves, use hardware to ensure the confidentiality and integrity of operations on sensitive data. While the technology is available on many processors, the complexity of its programming model and i ...

Energy efficiency remains a challenge for the design of non-volatile resistive memories (ReRAMs) arrays. This memory technology suffers from intrinsic variability in switching speed, programming voltages and resistance levels. The programming conditions of ...

With FPGAs facing broader application domains, the conversion of imperative languages into dataflow circuits has been recently revamped as a way to overcome the conservatism of statically scheduled high-level synthesis. Apart from the ability to extract pa ...

In the past, the use of tangible programming languages has shown several advantages compared to screen-based graphical programming languages. Especially when presented to novices, such interfaces may represent a more intuitive and straightforward alternati ...

Tasks routinely executed by humans involve sequences of actions performed with high dexterity and coordination. Fully specifying these actions such that a robot could replicate the task is often difficult. Furthermore the uncertainties introduced by the us ...

Recent developments in quantum hardware indicate that systems featuring more than 50 physical qubits are within reach. At this scale, classical simulation will no longer be feasible and there is a possibility that such quantum devices may outperform even c ...

The most successful systems for "big data'' processing have all adopted functional APIs. We present a new programming model we call function passing designed to provide a more principled substrate, or middleware, upon which to build data-centric distribute ...

Computer-graders have been in regular use in the context of MOOCs (Massive Open Online Courses). The automatic grading of programs presents an opportunity to assess and provide tailored feedback to large classes, while featuring at the same time a number o ...

As of today, programming has never been so accessible. Yet, it remains a challenge for end-users: students, non-technical employees, experts in their domains outside of computer science, and so on. With its forecast potential for solving problems by only o ...

Programming play into public space?

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Generative AI-Enabled Conversational Interaction to Support Self-Directed Learning Experiences in Transversal Computational Thinking

Degrees of Separation: A Flexible Type System for Safe Concurrency

When Subtyping Constraints Liberate A Novel Type Inference Approach for First-Class Polymorphism

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

Scaling Language Features for Program Verification

From C/C plus plus Code to High-Performance Dataflow Circuits

Trust as a Programming Primitive

Proving and Disproving Equivalence of Functional Programming Assignments

Software Support for Non-Volatile Memory (NVM) Programming

Product of experts for robot learning from demonstration

Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI Systems

Secured Routines: Language-based Construction of Trusted Execution Environments

Switching event detection and self-termination programming circuit for energy efficient ReRAM memory arrays

Speculative Dataflow Circuits

A Tangible Programming Language for the Educational Robot Thymio

Automatic extraction of constraints in manipulation tasks for autonomy and interaction

Programming Quantum Computers Using Design Automation

A Programming Model and Foundation for Lineage-Based Distributed Computation

A Comparison between Two Automatic Assessment Approaches for Programming: An Empirical Study on MOOCs

Interactive Programming by Example