Misha Sadeghi

Misha Sadeghi, M. Sc.

Researcher & PhD Candidate

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Room: Room 01.025
Carl-Thiersch-Straße 2b
91052 Erlangen

Since 10/2021 Ph.D. Candidate

Machine Learning and Data Analytics Lab

Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany.
10/2013 – 03/2016 M.Sc. Computer Architecture

Department of Computer Engineering

Amirkabir University of Technology (AUT) – (Tehran Polytechnic), Tehran, Iran

Thesis: “Speeding up Reconfiguration of FPGA Chips“
09/2009 – 09/2013 B.Sc. Computer Engineering

Department of Computer Engineering

Amirkabir University of Technology (AUT) – (Tehran Polytechnic), Tehran, Iran

Thesis: “Implementation of Hiding Countermeasures to Protect AES Hardware Module Against Power Analysis Attacks“

Empatho-Kinaesthetic Sensor Technology (EmpkinS) – D02

2025

2024

2023

2022

2019

  • President’s Welcome Award, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) – 2021

Month/Year Name Title
(Ongoing) Akash Kumar

Comparative Analysis of Emotion Detection: Evaluating the Efficacy of OpenFace and Biosignal Fusion against Face Reader’s Gold Standard

(Master’s thesis)
(Ongoing) Shivam Singh

Exploring Biosignals for Depression Detection: Analyzing EMG, ECG, and Respiration Patterns

(Master’s thesis)
(Ongoing) Pragati Biradar

Detecting Depression through Emotions, Facial Expressions, Eye Gaze, and Head Pose

(Master’s thesis)
(Ongoing) Aditya Narendra Integrated Data Processing for Questionnaire and Video Analysis Using OpenDBM 
(Research internship)
11/2023 Vivien Holzwarth Correa Classification and Assessment of Rheumatoid Arthritis from Motion Capture Data Using Machine Learning

(Bachelor’s thesis)
11/2023 Nishanth Jain Statistical Analysis of Mood During Positive and Negative Thoughts Using Face Reader Extracted Features based on EmpkinS D02 Data
(Research internship)
10/2023 Ahmed Aboelela Statistical Analysis of Facial Action Units, Head Pose, and Eye Gaze in Different Phases of the Experiment Using the OpenFace Tool based on EmpkinS D02 Data
(Research internship)
10/2023 Akash Kumar Emotion Recognition Based on Facial Action Units, Eye Gaze, and Head Pose: A Novel Approach
(Research internship)
10/2023

Supraja Ramesh

 Analysis of Biosignal Data (EMG, ECG, and Respiration) in Different Phases of the Experiment based on EmpkinS D02 data
(Research internship)
09/2023

Arda Buglagil

 Design of a Point Tracking System with Depth Camera for Directional Control of a Mirror Galvanometer for Laser-based Detection of Muscle Movements
(Research internship)
04/2023

Fateme Atayi

Real-time Age, Gender, and Emotion Recognition Using Deep Neural Network Approach

(Research internship)
01/2023

Mohammad Hamza

Predicting Emotional States Through Facial Expressions and Body Gestures

(Research internship)