Misha Sadeghi
Misha Sadeghi, M. Sc.
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Carl-Thiersch-Straße 2b
91052 Erlangen
- Phone number: +49 9131 85-27830
- Email: misha.sadeghi@fau.de
| 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“ |
2024
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Realtime Laser Beam Steering and Calibration Method for Coherent Biomedical Distance and Motion Sensing
CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics (Charlotte, NC, USA, 5. May 2024 - 10. May 2024)
In: CLEO: Science and Innovations, CLEO: S and I 2024 in Proceedings CLEO 2024, Part of Conference on Lasers and Electro-Optics 2024
BibTeX: Download
2023
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Efficacy of a smartphone-based reappraisal training against depression and benefits of enhancing it with facial expression
Society for Psychotherapie Research 54th International Annual Meeting (Dublin)
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Exploring the Capabilities of a Language Model-Only Approach for Depression Detection in Text Data
IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2023 (Pittsburgh, PA, USA, 15. October 2023 - 18. October 2023)
In: IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2023
DOI: 10.1109/BHI58575.2023.10313367
URL: https://ieeexplore.ieee.org/document/10313367
BibTeX: Download
2022
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Efficacy of a smartphone-based reappraisal training against depressed mood and benefits of enhancing it with facial expression–a feasibility study
Deutscher Psychotherapiekongress (Berlin, 7. June 2022 - 11. June 2022)
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EmpkinS - Empathokinästhetische Sensorik für Biofeedback bei Depression
Deutscher Psychotherapiekongress (DPK) (Berlin, 7. June 2022 - 11. June 2022)
URL: https://deutscher-psychotherapie-kongress.de/wp-content/uploads/2022/06/web_Programm_DPK2022_SS_09062022_final.pdf
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EmpkinS: empatho-kinesthetic sensory systems for biofeedback in depression
EmpkinS: empatho-kinesthetic sensory systems for biofeedback in depression (Freiburg, 16. June 2022 - 18. June 2022)
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AB1528-HPR FULL BODY HAPTIC BODYSUIT - AN INSTRUMENT TO MEASURE THE RANGE AND SPEED OF MOTION IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS (axSpA) - PRELIMINARY RESULTS
In: Annals of the Rheumatic Diseases 81 (2022), p. 1866.2-1867
ISSN: 0003-4967
DOI: 10.1136/annrheumdis-2022-eular.3069
BibTeX: Download
2019
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Reducing Reconfiguration Time in FPGAs
27th Iranian Conference on Electrical Engineering (ICEE) (Yazd, Iran, 30. April 2019 - 2. May 2019)
In: Iranian Conference on Electrical Engineering (ICEE), 2019 27th Iranian Conference on Electrical Engineering (ICEE): 2019
DOI: 10.1109/IranianCEE.2019.8786689
URL: https://ieeexplore.ieee.org/abstract/document/8786689
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- President’s Welcome Award, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) – 2021
- Scrum Master of RheoMotus team in the Innovation Lab for Wearable and Ubiquitous Computing
- Scrum Master of fireSense team in the Innovation Lab for Wearable and Ubiquitous Computing
- Scrum Master of GatewAI team in the Innovation Lab for Wearable and Ubiquitous Computing
- Scrum Master of TreeTelligent team in the Innovation Lab for Wearable and Ubiquitous Computing
| 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) |