From 6e7f28ca9563584a0437f5c71b9f4834ab4616bd Mon Sep 17 00:00:00 2001 From: Nikolaos Passalis Date: Sat, 27 Jul 2024 09:05:22 +0300 Subject: [PATCH] Update about.md --- _pages/about.md | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/_pages/about.md b/_pages/about.md index f4fbc5a1bafd..3ecfe97e6ac2 100644 --- a/_pages/about.md +++ b/_pages/about.md @@ -20,21 +20,19 @@ social: true # includes social icons at the bottom of the page ### About me -

I am a postdoctoral researcher in the Department of Informatics of Aristotle University of Thessaloniki, working in the Computational Intelligence and Deep Learning (CIDL) group led by Prof. Anastasios Tefas.

+

I am an Assistant Proffesor in the Department of Chemical Engineering of Aristotle University of Thessaloniki, specializing in Computational Intelligence methods.


### Research Interests

-My research interests are centered on the broad area of computational intelligence, with a particular focus on Machine Learning and Deep Learning. My research contributions includes a wide range of works, e.g., from works on fundamental theory of learning to applied research in emerging fields. You can find more information in research page. Some indicative research topics are listed below: +My research interests are centered on the broad area of computational intelligence, with a particular focus on Machine Learning and Deep Learning, focusing especially on leveraging such approaches to tackle novel and challenging problems in the domain of Chemical Engineering. My research contributions includes a wide range of works, e.g., from works on fundamental theory of learning to applied research in emerging fields. You can find more information in research page. Some indicative research topics are listed below:

-- Information-theoretic Learning - Representation Learning -- Robotics Perception -- Computer Vision -- Lightweight Deep Learning +- Information-theoretic Learning +- Timeseries Analysis and Forecasting - Deep Reinforcement Learning -- Model-based and Data-driven Learning -- Timeseries Analysis +- Hybrid Mechanistic/Model-based and Data-driven Learning +- Robotics Perception and Computer Vision - Photonic Neuromorphic Deep Learning - ... and others