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Update about.md
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passalis authored Aug 18, 2024
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layout: about
title: about
permalink: /
description: Postdoctoral Researcher
description: Assistant Professor

profile:
align: right
image: me.jpg
address: >
<p align="center">(Me at <a href=https://en.wikipedia.org/wiki/Kedrinos_Lofos>Seich Sou</a>)</p>
# <p>123 your address street</p>
# <p>Your City, State 12345</p>
<p>Room 402a, E13 Building</p>
<p>University Campus, Thessaloniki</p>
news: false # includes a list of news items
selected_papers: false # includes a list of papers marked as "selected={true}"
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### About me

<p align="justify">I am an Assistant Proffesor in the <a href="https://cheng.auth.gr/en/">Department of Chemical Engineering</a> of <a href="http://www.auth.gr/en">Aristotle University of Thessaloniki</a>, specializing in Computational Intelligence methods. </p>
<p align="justify">I am an Assistant Proffesor in the <a href="https://cheng.auth.gr/en/">Department of Chemical Engineering</a> of <a href="http://www.auth.gr/en">Aristotle University of Thessaloniki</a>, specializing in computational intelligence. </p>

<br/>
### Research Interests
<p align="justify">
My research interests are centered on the broad area of <b>computational intelligence</b>, with a particular focus on <b>Machine Learning</b> and <b>Deep Learning</b>, 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 <a href="research">research</a> page. Some indicative research topics are listed below:
My research interests are centered on the broad area of <b>computational intelligence</b>, with a particular focus on <b>Deep Learning</b>, focusing especially on leveraging such approaches to tackle novel and challenging problems in various fields. 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 <a href="research">research</a> page. Some indicative research topics are listed below:
</p>
- Representation Learning
- Information-theoretic Learning
- Timeseries Analysis and Forecasting
- Surrogate Modelling
- Deep Reinforcement Learning
- Hybrid Mechanistic/Model-based and Data-driven Learning
- Robotics Perception and Computer Vision
- Photonic Neuromorphic Deep Learning
- ... and <a href="research">others</a>


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