The Faculty of Engineering comprises three institutes: Computer Science and Artificial Intelligence, Information Engineering, and Industrial and Energy Engineering. These institutes are subdivided into Macro Areas.
Our mission is to advance the frontiers of knowledge and technology in the field of Artificial Intelligence (AI) and Computer Science (CS), to shape the next generation of AI and CS leaders, and to leverage AI to solve the most pressing challenges of our society. We are guided by a culture of excellence, innovation, integrity, social responsibility, and diversity that empowers our researchers, stakeholders, and students to be lifelong learners, critical thinkers, and problem solvers. Members are world-renowned experts in formal and cognitive foundations of knowledge representation; intelligent information systems combining data and knowledge; business process modelling and mining; handling of Big Data using advanced data science and machine learning, including vision and database analytics; mathematical approaches, methods, tools to investigate issues arising in socio-economic, engineering, technological fields, including modelling, analytical study and numerical simulations. The Artificial Intelligence Laboratory (AI-Lab, head: Diego Calvanese - KRDB) is associated to the Institute. The goal of the AI-Lab is to aggregate the existing academic expertise at UniBZ in AI methodologies and bridge the gap between academic excellence and local needs. AI-Lab will offer consultancy services, knowledge transfer, feasibility studies, and training to promote innovation and the adoption of AI by the local environment and the scale-up of local SMEs.
We study foundational and applied techniques grounded in artificial intelligence, logics, and formal methods, to design, analyse, enact, and maintain intelligent information systems that combine data, information, knowledge, time, and processes.
Our mission is to lead innovation in machine learning, deep learning, computer vision, data science, and spatio-temporal data analysis to tackle fundamental challenges and drive impactful applications in artificial intelligence.
MATH pioneers different mathematical methods to solve technical and societal issues across various domains, aiming to contribute to the solution of problems and advance progress and welfare through rigorous research and innovative applications.
Our research encompasses the entire chain of Information Engineering. It starts from materials and devices for smart systems (perception), through software and autonomous systems (cognition) to their interaction with humans and the environment (action).
The field of applications ranges from industry and agriculture to healthcare and education in different contexts. They include shopfloors, schools, art exhibitions and greenhouses.
Within this diversity, the group embraces a shared vision intersecting technology and ethics, productivity and sustainability, security and emancipation. Interdisciplinarity is the guiding principle, and members are world-renowned scholars in their respective fields.
Together with our students, we collaborate with local, national and international partners while pushing forward a community of learning, research and development which will create the basis for a sustainable and responsible technological future.
Applied research on the realization of intelligent and sustainable systems with bespoke mechanical, electrical, optical, and biological properties for applications in automotive, healthcare, agriculture, or efficient industrial production processes.
SEAS focuses on critical and evolutionary systems operating in dynamic environments to advance the design, implementation, operation, control, and navigation of systems that are sustainable, responsible, trustworthy, reliable, robust, and secure.
HCIS researchers design and study the interaction among people and intelligent systems in different contexts to bring human capabilities, desires and rights to the forefront in the development of intelligent interactive systems.
The Institute for «Industrial and Energy Engineering» addresses the future societal challenges of a fast-changing context (twin transition, climate change, resilience, aging population, and inclusivity), contributing to the sustainable development of the local ecosystem through the most-advanced industrial and energy engineering research.
More in detail, we support manufacturing, construction, energy, logistics, and agriculture small and medium-size enterprises (SMEs) as well as policy makers in promoting product, production and logistics process optimization, efficient use of resources and health and safety issues.
We also provide highly qualified engineering graduates able to hold a variety of job positions and successfully address pivotal challenges ranging from product design, manufacturing, logistics, operations & supply chain management, safety engineering, energy production, to building physics. The institute is organized according to the following Macro Areas:
We focus on interdisciplinary engineering in design, production, and management, prioritizing sustainability, human-centric, intelligent, and resilient approaches especially in an application context for small and medium-sized enterprises.
To foster the energy transition for sustainability, efficiency, access and security, we focus on innovative generation, distribution and storage technologies based on renewable sources, for stationary and mobility applications.
Our research aims at studying and mitigating risks for people and infrastructures, in particular due to climate change, as well as defining sustainable methods, tools and solutions for improving safety and comfort in the built environment.
Further, the Faculty foresees of labs for the technology transfer of different competences: