Research & Innovation
A comprehensive record of my contributions to AI, Machine Learning, and Robotics research, spanning academic publications, patents, and conference presentations.
📜 US Patents

Systems and methods for generating a chatbot

US Patent US11676044B1 • Arnon Mazza, Christos Melidis • Ada Support Inc.
Priority: 2022-08-16 • Filed: 2022-08-16 • Granted: 2023-06-13 • Published: 2023-06-13

Patent granted for innovative chatbot generation technology, enabling automated creation and deployment of conversational AI systems.

Systems and methods for generating automatic training suggestions

US Patent 20230297887A1 • Armand Silviu Gurgu, Christos Melidis • Ada Support Inc.
Filed: 2022-12-15 • Published: 2023-09-21

Patent for automated training suggestion generation, improving chatbot training efficiency through intelligent recommendation systems.

📚 Journal Publications

Effective Behavioural Dynamic Coupling through Echo State Networks

Melidis, C., & Marocco, D. (2019)
Applied Sciences, 9(7), 1300.

Explores the use of Echo State Networks for effective behavioral dynamic coupling in robotics, enhancing the adaptability of robotic systems through novel neural architectures.

A test of the adaptive network explanation of functional disorders using a machine learning analysis of symptoms

Melidis, C., Denham, S. L., & Hyland, M. E. (2017)
Biosystems

Machine learning analysis validating adaptive network theory for understanding functional disorders, demonstrating novel applications of AI in healthcare diagnostics.

Intuitive control of mobile robots: an architecture for autonomous adaptive dynamic behaviour integration

Melidis, C., Iizuka, H. & Marocco, D. (2017)
Cognitive Processing, Springer
doi: 10.1007/s10339-017-0818-5

Presents a novel architectural framework for integrating autonomous adaptive dynamic behaviors in mobile robots, enabling more natural and effective human-robot interactions.

🎤 Conference Papers & Presentations

KURE: Kinematic universal remote interface a human centred remote robot control paradigm

C. Melidis and D. Marocco (2016)
IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Budapest, Hungary • pp. 003130-003135

Introduces KURE, a kinematic universal remote interface prioritizing human-centered design for intuitive remote robot control.

KURE: a Two-Way Adaptive System for Intuitive Robot Control

C. Melidis and D. Marocco (2016)
Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics
IEEE RO-MAN 2016 • New York City, USA

Presents KURE as a bidirectional adaptive system enabling mutual adaptation between human operators and robotic systems.

A Human Centric Approach to Robotic Control

C. Melidis and D. Marocco (2015)
IEEE International Conference on Systems, Man, and Cybernetics
Kowloon, Hong Kong • pp. 2441-2446
doi: 10.1109/SMC.2015.427

Develops control interfaces leveraging intuitive human movement patterns and cognitive models for improved robot operation.

An Exploration on Intuitive Interfaces for Robot Control Based on Self Organisation

Melidis C., Marocco D. (2015)
Artificial Life and Intelligent Agents (ALIA 2014)
Communications in Computer and Information Science, vol 519. Springer, Cham
Bangor, Wales, UK

Explores self-organization principles in designing intuitive robot control interfaces that adapt to user interaction patterns.

📊 Research Impact
7+
International Publications
Top-tier venues: IEEE, Springer, Applied Sciences
2
US Patents
Conversational AI & Chatbot Technologies
10+
Years of Research
Academic & Industry Innovation

Research Themes

  • 🤖 Human-Robot Interaction • Intuitive control interfaces and adaptive systems
  • 🧠 Neural Network Architectures • Echo State Networks, RNNs, LSTMs
  • 💬 Conversational AI • Chatbot generation and dialogue systems
  • 🎯 Applied Machine Learning • Healthcare, robotics, NLP applications

📄 ResearchGate Profile
🎓 PhD Thesis - University of Plymouth
🔗 LinkedIn Publications