Misha Sadeghi
Misha Sadeghi, M. Sc.
Researcher & PhD Candidate
Carl-Thiersch-Straße 2b
91052 Erlangen
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
- Fleischmann S., Holzwarth Correa V., Coppers B., Sadeghi M., Richer R., Kleyer A., Simon D., Bräunig J., Vossiek M., Schönau V., Schett G., Koelewijn A., Leyendecker S., Eskofier B., Liphardt AM.:
Classification of rheumatoid arthritis from hand motion capture data using machine learning
13. Kongress der Deutschen Gesellschaft für Biomechanik (DGfB) (Heidelberg, 24. April 2024 - 26. April 2024)
BibTeX: Download - Keinert M., Schindler-Gmelch L., Rupp L., Sadeghi M., Capito K., Hager M., Rahimi F., Richer R., Egger B., Eskofier B., Berking M.:
Facing depression: evaluating the efficacy of the EmpkinS-EKSpression reappraisal training augmented with facial expressions – protocol of a randomized controlled trial
In: BMC Psychiatry 24 (2024), Article No.: 896
ISSN: 1471-244X
DOI: 10.1186/s12888-024-06361-3
URL: https://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-024-06361-3
BibTeX: Download - Sadeghi M., Egger B., Agahi R., Richer R., Capito K., Rupp L., Gmelch LM., Berking M., Eskofier B.:
Exploring the Capabilities of a Language Model-Only Approach for Depression Detection in Text Data
Deutscher Psychotherapiekongress (DPK) (Berlin, 11. June 2024 - 15. June 2024)
URL: https://www.dgps.de/fileadmin/user_upload/PDF/Pressemitteilungen/DGPs-Pressemitteilung_DPK2024_20241606.pdf
BibTeX: Download - Sadeghi M., Richer R., Egger B., Schindler-Gmelch L., Rupp L., Rahimi F., Berking M., Eskofier B.:
Harnessing multimodal approaches for depression detection using large language models and facial expressions
In: npj Mental Health Research 3 (2024), p. 66
ISSN: 2731-4251
DOI: 10.1038/s44184-024-00112-8
URL: https://www.nature.com/articles/s44184-024-00112-8
BibTeX: Download - Schmidt M., Sadeghi M., Rahimi F., Eskofier B., Buglagil A., Schmauß B., Carlowitz C.:
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
- Rupp L., Capito K., Gmelch LM., Böhme S., Richer R., Sadeghi M., Rahimi F., Abel L., Eskofier B., Berking M.:
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)
BibTeX: Download - Sadeghi M., Egger B., Agahi R., Richer R., Capito K., Rupp L., Gmelch LM., Berking M., Eskofier B.:
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
- Capito K., Gmelch LM., Rupp L., Sadeghi M., Eskofier B., Berking M.:
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)
BibTeX: Download - Gmelch LM., Böhme S., Capito K., Rupp L., Richer R., Sadeghi M., Eskofier B., Berking M.:
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
BibTeX: Download - Gmelch LM., Capito K., Rupp L., Richer R., Sadeghi M., Eskofier B., Berking M., Böhme S.:
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)
BibTeX: Download - Weber N., Lennartz R., Knitza J., Bayat S., Sadeghi M., Ibrahim A., Karatastan C., Sudhakar A., Ramzezanzadegan N., Kahali S., Mirzayev A., Schuster L., Schett G., Eskofier B., Kleyer A.:
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
- Sadeghi M., Razavi SA., Saheb Zamani M.:
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
BibTeX: Download
- 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) |