Embedding Rasa in edge Devices: Capabilities and Limitations. - Nikolaos Malamas; Andreas L. Symeonidis (KES, 2021)

Machine Learning for Fatigue Detection using Fitbit Fitness Trackers. - Erik Johannes Husom; Rustem Dautov; Adela-Aniela Nedisan; Fotis Gonidis; Spyridon Papatzelos; Nikolaos Malamas (icSPORTS, 2022)

A Methodology for Enabling NLP Capabilities on Edge and Low-Resource Devices. - Andreas Goulas; Nikolaos Malamas; Andreas L. Symeonidis (NLDB, 2022)

Bridging the Gap Between Java and Python in Mobile Software Development to Enable MLOps. - Rustem Dautov; Erik Johannes Husom; Fotis Gonidis; Spyridon Papatzelos; Nikolaos Malamas (WiMob, 2022)

dFlow: A Domain Specific Language for the Rapid Development of open-source Virtual Assistants. - Nikolaos Malamas; Konstantinos Panayiotou; Andreas L. Symeonidis (CoRR, 2023)

A Multilayer Architecture towards the Development and Distribution of Multimodal Interface Applications on the Edge. - Nikolaos Malamas; Konstantinos Panayiotou; Apostolia Karabatea; Emmanouil G. Tsardoulias; Andreas L. Symeonidis (Sensors, 2024)

Upon Conversationalizing Information Systems. - Nikolaos Malamas; Haralabos Metaxas; Konstantinos Panayiotou; Andreas L. Symeonidis (HCI (10), 2025)

Towards Secure, Privacy-Enhanced and Configurable Conversational Assistants: An Enterprise-Focused Approach. - Dimosthenis Natsos; Nikolaos Malamas; Andreas L. Symeonidis (HCI (50), 2025)