
The Intelligent Systems and Software Engineering Labgroup (ISSEL) belongs to the Information Processing Laboratory (IPL) of the Department of Electrical and Computer Engineering at the Aristotle University of Thessaloniki. Consists of 3 subgroups, i- Dare Group, R4A Group & Softeng Group.
| THE GROUPS |
| GENERAL INFORMATION |
Founded on January 2001
2 Faculty members
5 Post Doctoral Researchers
7 PhD Candidates
1 Permanent Lecturer
3 Software Engineers
2 Administrative Staff
30+ Undergraduate
Students (more than 200 since 2001)
1 spin-off company
https://www.cyclopt.com
3.3 million € in EU
National and private funding for R&D since 2011
| RESEARCH STRANDS |


Software Engineering
Software Automation
Automatic Code Generation
Requirements Elicitation
& Specification Extraction
& Specification Extraction
Mining for Functional Requirements
Automated Requirements Annotation
User Scenarios Mining

Infrastucture
Big Data (Cenote)
Deployments (VM / Containers)
Platforms & Algorithms as a service

Data Mining /
Machine Learning
Machine Learning
Source Code Analytics
Reusable Components Mining
Source Code Semantics
Writing Improvement via Collective
Intelligence
API Usage Mining
Applied Machine Learning
eCommerce
Natural Language Processing
Database / Knowledge Discovery /
Ontologies
Operation Analytics
Quality Assessment
Maintainability Branch Prediction
UI Design Elements Mining
User Behavior Patterns Mining

Mobile Applications
/ Sensors
/ Sensors
Native Mobile Applications Creation
Sensors Measurements Capture and
Dispatching
Crowd Sourcing Applications based on
GNSS

Robotics
Ground Vehicles / Drones
ROS / ROS2
Algorithms (Navigation, Target Selection,
Path planning etc.)
Perception (SLAM, Localization, Machine
Vision etc.)

Cyber Physical
Systems
Systems
Custom Devices Creation
Sensors Incorporation Based on the Task
Devices Custom Middleware
Cloud Robotics
Internet of Brokered / Robotic Things
Systems Creation
Resources Abstraction
Configuration / Inspection / Management /
Deployment via IoT Brokers
Remote Execution of System Applications
Machine Learning on Systems Generated
Data
Augmented Reality
Software Automation / Model Driven
Engineering
Low/No Code Frameworks (applied and
generic)

Self Driving
Cars
Cars
Finite State Machines / Driving Behaviors
Sensors [pre] processing
Crowd Sourcing Techniques