The Institute for Electronics and Computer Science (EDI) invites students from Riga Technical University, University of Latvia, and other universities (including from abroad) to develop their master’s and bachelor’s thesis using the institute’s resources and scientific guidance.
We can match you with a supervisor: simply write to info@edi.lv or call +371 67554500.
The development of master’s and bachelor’s works are managed by experienced scientific staff, and facilities are provided for the carrying out of theoretical studies and experimental developments. Writing your master’s or bachelor’s thesis can be combined with work in projects at the institute!
Detailed information on selecting a thesis topic, internships, and work opportunities at EDI (FAQ).
Topics
Extremely accurate measurement of event timing
- Super-high precision (picosecond) time and time-amplitude measurement systems, as well as time synchronization systems
Remote research and processing of space data
- Treatment of hyperspectral images with applications for classification of objects, such as forest classification
- Using the information theory to classify hyperspectral image objects
Machine Learning and Machine Perception
- Computer vision and deep learning (artificial neural networks) for detecting, localizing, and segmenting objects in images and video (1D, 2D, 3D)
- Clustering of unlabeled data with artificial neural networks or Deep Learning
- Extending training data with 3D computing and simulation software and generative neural networks
- Methods of interpretative artificial intelligence systems, explanations for decision-making of artificial intelligence systems (“black box”), software and methods for explaining artificial intelligence (functional, local, structural, perturbation, modular), interpretation and explanation
- Data compression with artificial neural networks / Deep Learning
- Realtime RGB/IR data fusion
- Embedded implementation of drone indoor localization algorithms
- Classification of medical images using deep neural networks
- Federated learning-based algorithms for efficient system and component model building
- Implementation of neural networks on multiple energy-constrained devices (edge devices)
- Particle systems for physical simulation of gases and liquids
- Machine learning with differentiable physics
- Deep machine learning for program code generation
- Combinatorial optimization with graph neural networks
- Applications of generative artificial intelligence in training-data synthesis
- Interpretability of neural networks using a discretization technique
- Application of neural networks for decision-making and optimization in power-transmission networks
- Can neural networks learn algorithmic tasks?
Robotics
- Computer vision and industrial robot applications in the management of various types of industry, etc., and the development of a human tracking system using an industrial robot and a camera
- Applications of stimulated learning in the control of industrial and mobile robots
- Manipulation of soft objects by robots
- Use of physical simulation of gases and liquids in robotics
- Design and development of self-driving car systems – improving the driving and steering controller, implementing various autonomous manoeuvres, efficiently creating a 3D point-cloud map of the surroundings from Lidar, GPS and video camera data
- Grasp Planning and Execution Using Dexterous Robotic Hand
- Evaluation of Force Feedback for Grasping using Dexterous Robotic Hand. Focus: use tactile sensors and interpret their output to detect grasp success/failure
- Teleoperation of a Dexterous Robotic Hand via Human Glove Interface. Focus: map hand tracking data to the Shadow Hand
- Multi-Modal Sensor Fusion for Enhanced Object Manipulation in Dexterous Robotic Hands. Focus: combine vision, and tactile for better control
- Mobile manipulator approach pose estimation
- Autonomous Grasping of Objects in Dynamic Reference Frames
- Autonomous Grasping of Objects from Variable Containers
- Robot Skills for Container Manipulation
- Robot Skills for Operating Fixed Storage Units
- Force-Controlled Robotic Assembly
- Unknown object manipulation / Open-set object manipulation
Signal processing and embedded intelligence
- Ultra-broadband (UWB) signal generation, recording, processing methods, and sub-technical solutions for applications of the “Through-wall imaging”, terrestrial mapping, contact-free diagnostics, small-object motion detection, aerial selection for ultrawide-band signal discharge using the impactor method, etc.
- Handling of signals from various sources (radar, medical, sports, social, etc.) using the Karhunen-Loeve method
- Generating pulses ranging from parts of the volt to a thousand volts and fronts from hundred picoseconds to more than one nanosecond
- The human body as a data-transmission environment: experimental measurements on the spread of an electrical field and magnetic field through the human body
- Application-specific integrated processor design for image processing related tasks
- Applications of zero-knowledge protocols
- Magnetic field quantum sensor applications for localisation
- Using artificial neural networks to recognise muscle composition from ultrasound testing data
- Using artificial neural networks to detect bone porosity from ultrasound testing data
Smart sensors and the Internet of Things
- Development of wireless sensing networks and IoT to improve quality of life (including for people with special needs), smart house, smart class, smart laboratory, environmental improvements, and/or industrial equipment performance (Industry 4.0)
- Protocols (BLE, IEEE 802.15.4, LoRa etc.) for low-power wireless networks with a large number of nodes and dense deployment
- Detecting/monitoring human activity using wearable devices equipped with accelerometers and other sensors
- Wearable sensors in healthcare. Investigate the use of wearable sensors for monitoring vital parameters (heart rate, blood pressure, oxygen saturation) and compare them with traditional medical devices
- Wearable sensors in sports. Examine the use of wearable sensors for assessing athletic performance (speed, distance, workload, fatigue). Investigate how these sensors can be used to prevent injuries or optimize training plans
- Wearable sensors in human-computer interfaces. Investigate how wearable sensors can be used to detect user gestures, facial expressions, and other non-verbal control commands
- Human-machine interface based on body-coupled communication
- Detection and identification of wireless transmitters based on radio frequency signals
- Software-Defined Radio as a gateway for IoT nodes
- Radio frequency channeliser implementation on GPU and CPU: comparison
Energy
- Application of mathematical modelling tools for long-term scenario modelling in the energy and transport sectors
- Analysis of the impact of new technologies and GHG reduction strategies with mathematical models
- Analysis of energy efficiency, renewable energy and climate policies and their implementation and impact assessment tools
- Social, technical and economic aspects of the development of renewable energy communities in Latvia
- Technological performance of electricity demand flexibility measures in energy communities
- Socially acceptable transformation of the energy system in Latvia
- Application of graph neural networks for early detection of instability in electricity transmission networks
Sensors
- Investigation of broadband ultrasonic transducers in the kilohertz frequency range
- Investigation of the radiation spectrum of ultrasonic transducers depending on the excitation signal
The Institute for Electronics and Computer Science is a national scientific body that handles research in the fields of electronics, signal processing, telecommunications, and computer science, and conducts the development of science-intensive electronic equipment and software using modern technologies and solutions. In line with the cooperation agreements concluded with the Riga Technical University, University of Latvia, and Venstpils University of Applied Sciences , the Institute is a research base for these universities and has equivalent rights and responsibilities in the management of academic works. The activities of the Institute are based on the execution of projects financed by various sources of Latvia, the European Commission, the European Structural Funds, etc., in which original solutions are found for the tasks assigned.
