Vasileios Kochliaridis, PhD Student
School of Informatics
Aristotle University of Thessaloniki
54124 Thessaloniki – Greece

Tel: +30 6943265892
E-mail:  vkochlia@gapps.auth.gr
GitHub: https://github.com/kochlisGit

Short CV

Vasileios Kochliaridis was born in Thessaloniki, Greece, in 1997.  He obtained his bachelor’s degree in computer science and engineering from University of Ioannina in 2021. In his undergraduated thesis, he studied and applied Deep Reinforcement Learning algorithms in order to consruct intelligent systems for Autonomous Vehicles. Later, he developed state-of-the-art object detection classifiers for video streams as a part of his internship program. Later in 2021, Vasileios joined the Intelligent Systems Lab at the School of Informatics, AUTh, as a PhD student. The subject of his doctoral thesis is Deep Reinforcement Learning. His vision is to apply Deep Reinforcement Learning in various field, such as economics, industry, autonomous vehicles, biology, physical simulations, in order to create intelligent agents that are able to overcome the existing issues with the current state-of-the-art algorithms.

Research Interests

• Deep Reinforcement Learning Algorithms
• Intelligent Agents
• Generative Adversarial Networks (GANs)
• Computer Vision
• Autonomous Vehicles
• Finance & AI
• Physical Simulations

Publications

1. Journal
   1. Combining Deep Reinforcement Learning with technical analysis and trend monitoring on cryptocurrency markets, V.Kochliaridis, L.Kouloumpris, I.Vlahavas, 2023
   2. UNSURE – A Machine Learning Approach to Cryptocurrency Trading,  Applied Intelligence, V.Kochliaridis, A. Papadopoulou, I.Vlahavas, 2024
   3. NADAS – Noise-Adaptive Driving Assistance System, Engineering Applications of Artificial Intelligence V.Kochliaridis, N.Chandrinos, G.Parlitsis, I.Vlahavas, 2024 (Submitted)
   4. GPS: A Generative Point Sampling Apporach for PINNs, Neural Computing and Applications, V.Kochliaridis, I.Dilmperis, A.Palaskos, I.Vlahavas, 2024 (Submitted)

   Conferences

   1. TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning, V.Kochliaridis, L.Kouloumpris, I.Vlahavas, AIAI 2022
   2. Vit2: Visual Timeseries Estimation using Visual transformers, V.Kochliaridis, I.Pierros, G. Romanos, I.Vlahavas, ICPR, 2024 
   3. Optimizing Pretrained Transformers for Autonomous Driving, V.Kochliaridis, E.Kostinoudis, I.Vlahavas, SETN 2024
   4. Predictive Maintenance Under Absence of Sensor Data, V.Kochliaridis, I.Pierros, I.Vlahavas, AIAI, 2024

   On Progress

   1. Multi-Scale Transformers in Real-World Autonomous Driving, V.Kochliaridis, F.Moutzinidis, N.Tsirigkoti, I.Vlahavas
   2. TraderEST: Trading Ensemble Strategy for Cryptocurrency Trading, L.Kouloumpris, V.Kochliaridis, I.Vlahavas, 2024