Thesis projects in collaboration with foreign universities

COSMIC Lab proposes a number of thesis projects in collaboration with research groups in foreign universities 

Please contact Prof. Maurizio Valle for details 

In the following the proposed topics:

 1) Prof. Sandro Carrara, 

Bio/CMOS Interfaces (BCI) Group @LSI


Lausanne (CH)

Topics: The group is one of the worldwide leader groups in the field of design and fabrication of biosensors-on-chip and bio-interfaces, with target on DNA and protein based arrays. The research is specially focused on the development of new bio/CMOS interfaces by also integrating new and innovative nano- and bio- materials in the electrochemical-sensing surface. Research involves both the design of novel biosensing devices, intimate integration of highly heterogeneous systems, and development of electronics with the CMOS technology. The novel approach proposed by this leading group corresponds to a co-design of the different layers (bio, nano, and CMOS frontend) to improve the integration of these highly heterogeneous systems in order to overcome the usual biosensors limits in terms of specificity and sensitivity.



2) Prof. Massimo Alioto

GREEN IC group homepage

(Green Resilient Energy Efficient Nanoscale Integrated Circuits )

Dept. of Electrical and Computer Engineering 

National University of Singapore

Topics: The Green IC group aims to develop cutting-edge research on extremely energy-efficient integrated circuits for high-performance, mobile and ubiquitous micro and nano systems. The group focuses on four fundamental energy-centric research thrusts:

• energy-autonomous systems and wireless sensors with nearly perpetual operation (including ultra-low power analog interfaces, digital processing, power management), for biomedical applications, distributed surveillance, smart cities, smart buildings, structural monitoring, smart cameras, and many others

• error-resilient near-threshold VLSI circuits and systems for 10X improvement in energy efficiency for mobile applications (both error-free and error-aware computing are of interest)

• circuit- to system-level techniques to enhance the energy efficiency of high-speed VLSI circuits to enable continued performance enhancements under a tight power budget

• circuit and system integration with emerging and post-CMOS technologies for green computing.



3) Prof. Dario Farina,

Department Bioengineerin (

Imperial College London

London, United Kingdom

Topics: basic neuromuscular mechanisms mediating movements and their changes underlying both acute adjustments (e.g. muscle fatigue) and chronic adaptations (e.g. training, stroke) (movement neurophysiology). Moreover, we develop methods to restore, replace, and modulate lost or impaired motor functions (neurotechnologies). Our approach is interdisciplinary and is based on expertise in computer modeling (bioelectricity, biomechanics, neural networks), neural signal processing (machine learning), electrode and sensor design (high-density intramuscular and surface EMG electrodes), hardware design (multi-channel general-purpose amplifiers), neurophysiology of human movement (spinal circuitries, motor units and motor neurons, motor control modularity) and neurotechnologies (FES, BCI, robotics, active prostheses).



4) Prof. Ravinder Dahiya

Electronics and Nanoscale Engineering (

Room 533a, James Watt Building (South),

University of Glasgow, UK

Topics: multidisciplinary research interests include Flexible and Printable Electronics, Electronic Skin, Robotic Tactile Sensing, Micro / Macroelectronics, Wearable Systems and System Integration.



5) Prof. Gaetano Di Caterina

Centre for Excellence in Signal and Image Processing 

Department of Electronic and Electrical Engineering 

University of Strathclyde, Glasgow, UK

Topics: EMG signal processing, Image and video processing, DSP embedded systems, Video analytics for surveillance, Speech processing, Medical image processing



6) Prof. Strahinja Dosen

Faculty of Medicine, Aalborg University, Denmark



7) Prof. Alberto Nannarelli

Embedded Systems Engineering

Department of Applied Mathematics and Computer Science

Technical University of Denmark (DTU), Lyngby, Denmark

Topics: Arithmetic Units and Numerical Processors, Hardware Acceleration on Reconfigurable Platforms, Power Efficient Digital Signal Processors, Power and Thermal Management of Systems-on-Chips


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