Doctorate in Information Technology
The Ph.D. course in Information Technology aims at providing the Ph.D. students with a high level education in one of the research fields belonging to the area of the Information Technology. Such wide area includes Electronics, Computer Science, Telecommunications and all the related disciplines. The duration of the course is three years and in order to access it one must possess a Master Degree in one of the previously mentioned disciplines and has to pass an examination. During the three years the Ph.D. student follows some high level Ph.D. courses and some seminars to complete his own education, and he learns how to perform a scientific research by working within one of the research groups at the Department. The research activity can also be carried on by qualified Italian or foreign research centers. The Ph.D. activity is concluded by writing and discussing a thesis into which the three-year research activity is summarized.
Aurora Lab merges competences of automatic control and operating research to address academic and industrial problems. The main academic research topics are related to the theoretical aspects of the control of mechanical systems, of the control and optimization of interconnected distributed systems and of global optimization. In industrial applications, the lab is working on motion and velocity optimization problems for mobile vehicles (AGV and road vehicles) with special emphasis on the development of fast and efficient algorithm suited to real-time applications, and to the use of statistic learning and optimization methods in industry.
The Robotics and Intelligent Machines Laboratory (RIMLab) of the University of Parma pursues research and technology transfer in fields such as advanced robot teleoperation, human-machine interfaces, robot perception, object recognition, robot manipulation, mobile robotics and AGV navigation. In particular, the current research interests include virtual reality, advanced user interfaces suitable for industrial applications and mobile robot applications, such as self-localization and mapping.
Contact: Prof. Stefano Caselli – firstname.lastname@example.org
VisLab is one of the key groups worldwide providing top-notch theoretical and applied research on Environmental Perception in many different fields, and is specialized in Intelligent Vehicles. Thanks to its tight cooperation with top level companies in Europe, America, and Asia, VisLab has developed its own vision on products for different markets like automotive and drones. VisLab’s interests are mainly focused on computer vision applications for the perception of the environment surrounding any kind of vehicles.
Contact: Prof. Alberto Broggi – email@example.com
The Distributed Systems Group Laboratory (DSG lab) of the University of Parma has been established in 2005 stemming from the previous Multimedia and Parallel Computing labs. The research interests of the group focus on distributed and autonomic systems, peer-to-peer models and applications (particularly in the field of location-based services), mobile and pervasive middleware and systems, as well as mobile cloud computing and augmented reality applications. Additionally, the performance of such systems is evaluated by means of simulative and quantitative analysis, as well as the deployment of significant prototypes.
Contact : Prof. Francesco Zanichelli – firstname.lastname@example.org
The Intelligent Bio-Inspired System (IBIS) Laboratory studies and develops computer methods and models inspired to the intelligent and collective behaviours which can be observed in nature, based on which real-world applications are designed, developed and tested. In particular, the main research topics are related with soft computing methods (Evolutionary Computation, Swarm Intelligence, Neural Networks), with particular regard to bio-inspired stochastic optimization techniques. Regarding applications, such techniques have been traditionally (for the lab) used to solve computer vision and pattern recognition problems in medical and industrial environments. From a technological point of view, we have used GPU computing to obtain highly efficient implementations of such techniques More recently, research has been carried out also on sentiment analysis (also known as opinion mining), i.e., the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. A goal for the near future is to jointly apply image and text analysis to better characterize the emotional status of social network users based on both iconic and textual content of their posts.
Social web, intelligent and distributed systems engineering SoWIDE is a research group at the Department of Engineering and Architecture, University of Parma. We do research in the following fields: Social media analysis: sentiment analysis, emotion detection, information retrieval, troll detection, social network analysis. Artificial intelligence: machine learning, swarm intelligence, evolutionary computing, semantic web. Distributed systems: multi-agent systems, actor-based systems, web-based systems, peer-to-peer networks, distributed social networks, trust management. Software engineering: agent-oriented software engineering, object-oriented programming, programming paradigms and languages, computational thinking.
The research group IMPLab is devoted to different researches in the field of image processing, mobile vision and pattern recognition. The research at IMPLab covers topics including computer vision, image processing, multimedia analysis, machine learning, pattern recognition, vision-based human-computer interaction, applied to several fields such as video surveillance, landmark recognition from mobile devices, industrial applications of machine vision, mobile vision, etc.. IMPLab is actively involved in several national and international research projects and accounts collaborations with companies such as Adidas.
Contacts: Prof. Andrea Prati email@example.com
The group is specialized in the analysis and design of fiber optic long-haul high-capacity links in both terrestrial and submarine optical networks. The most recent focus of the group research is on the study of nonlinear Kerr effects on dispersion-uncompensated wavelengthg division multiplexed (WDM) coherent optical communications. The group has a continued 20-year-old collaboration with the Nokia (former Alcatel-Lucent) Bell-Labs France in Paris, where the best master/PhD students have the possibility of carrying out an internship. Other recent topics of research are the study of nonlinear effects in novel OAM multimode fibers for datacenter communications, within the framework of the European Horizon 2020 project “ROAM” (www.roam-project.eu) and in collaboration with the COPL research center of the Universitè Laval in Québec, Canada.
The Internet of Things (IoT) Lab tries to coordinate the various on-going activities and collaborations, in the area of networked smart things, between the Department of Information Engineering of the University of Parma and private companies (both Italian and International), other Italian and International universities, and national/regional institutional agencies. As of today, there are about eight full-time members (faculty, post-docs, PhD students, research associates), together with several active collaborators. The current research activity of IoTLab focuses on three main interwoven research areas: (i) signal processing, (ii) advanced communication and networking, (iii) Internet of Things. Interdisciplinarity is a key principle of all research activities. The scientific output of the IoT Lab has led to a large number of scientific publications and a few best paper/technical awards at leading international conferences. The IoTLab is currently equipped with a large IoT testbed (150+ nodes), encompassing many wireless connectivity standards (WiFi, IEEE 802.15.4, UltraWideBand Bluetooth, NFC, SubGHz, RFID). The used devices (based also on generous donations from manufacturers) include: TelosB (IEEE 802.15.4), Shimmer (BT), Xsens (BT), Zolertia (IEEE 802.15.4), Arduino (WiFi), Rapsberry Pi (WiFi/IEEE 802.15.4), UDOO (IEEE 802.15.4), Time Domain (UWB), Intel Galileo (Ethernet/WiFi), CAEN (RFID), OpenMote (IEEE 802.15.4), Texas Instruments Smart Nodes (IEEE 802.15.4/BTLE/WiFi/SubGHz), Xbee (SubGHz/WiFi), and others.
Contact: Prof. Gianluigi Ferrari – firstname.lastname@example.org
The SPADiC (Signal Processing for Advanced Digital Communications) group has a strong research and development expertise in the area of physical layer design and evaluation of wireless, and in particular satellite, communication systems. In more details, it has a strong expertise in the following techniques: (i) iterative detection and decoding, (ii) synchronization, (iii) graph-based detection/decoding, (iv) adaptive demodulation and decoding techniques for channels with unknown parameters (phase and frequency uncertainty, fading, Doppler shift), (v) multiuser detection, (vi) multiple-antenna transmission systems and space-time codes; (vii) information theory.
Contact: Prof. Giulio Colavolpe - email@example.com
The DEAS Lab is involved in the following activities 1. Reliability: accelerated life tests, failure analysis, electrical and thermal characterization 2. Modeling: 2.1 Process 2.2 Physical 2.2.1 Electrical and electro-optical 2.2.2 Electromagnetic 2.2.3 Heat transfer 2.3 Circuit 2.4 Logical-functional 3. Power and Wide-Bandgap (GaN, SiC) devices 4. Power converters 5. Renewable energies 6. Smart grids 7. Sensors 8. Thin-film solar cells (CIGS) Contact: Roberto Menozzi firstname.lastname@example.org
The group’s research activity is focused on the applications of power electronics to static and dynamic energy conversion.
Research topics include:
- power converters and inverters for electric machine control, industrial automation, electric propulsion;
- static power converters for stand-alone and grid-connected photovoltaics and other renewable energy sources;
- modeling and control of power flow aboard electric and hybrid-electric vehicles;
- application of cutting-edge wide-bandgap semiconductor technology to power conversion and advanced gate drivers;
- diagnostics and prognostics applied to electric machines and drives.
Contact: Prof. Carlo Concari – email@example.com
The staff of AnalogIC lab is involved in the design of Analog and Mixed-Signal Integrated circuits. Main research topics are: ultra low-power Sigma-Delta A/D converters, integrated sensor nodes, RFID devices, power harvesting techniques and circuits for IoT sensor nodes, high-performance pipeline A/D converters, analog cells for auto-motive applications. The group cooperates with ST Microelectronics and AMS.
Contact: Prof. Andrea Boni - firstname.lastname@example.org
The research is focused on the design of digital systems based on microcontrollers, microprocessors and programmable devices. In particular DoTA lab is active in researches aimed at applying information technologies to support safety and care needs of elderly and disabled people. Home management systems based on wireless sensor networks capable of supporting daily living activities and providing safety and monitoring features are studied and developed. Wearable sensors, exploited for detecting falls of elderly people, for indoor localization of people or providing information about individual physical activity of a person are implemented. All the sensors are connected to a cloud platform, embodying an IoT (Internet of Things) approach, behavioural analysis and anomaly detection techniques are currently under development.
Prof. Paolo Ciampolini - email@example.com
The research activity of the Group of Applied ElectroMagnetics (GAEM) spans a wide range of subjects in the field of optical fibers, lasers and amplifiers, and sensing devices. In recent years, GAEM has been involved in the study and the modelling of optical fibers, mainly the so-called photonic crystal fibers, and of fiber-based lasers and amplifiers for telecommunication and industrial applications. GAEM has also developed many different kinds of fiber biosensors for the detection and the identification of DNA and other specific analytes. The group runs a clean room laboratory with facilities and equipment for fiber-based device analysis, and for characterization and development of fiber lasers and amplifiers. Moreover, it runs a numerical laboratory for the development of high performance simulators of fiber guiding properties and of light propagation in amplifiers and lasers.
Contact: Prof. Federica Poli - firstname.lastname@example.org
RESEARCH DOCTORATE UNIPR: http://www.unipr.it/didattica/post-laurea/dottorati-di-ricerca
GUIDELINES FOR GOOD SCIENTIFIC PRACTICE: https://www.unipr.it/node/21810