Personal profile
Research Interests
RESEARCH THEMES
- Organoid Intelleignce, Artificial Intelligence & Machine Learning, Data Science
RESEARCH INTEREST:
1) Computational Neuroscience
2) Foundation Models
3) Physics-Infused Learning
4) Meta & Transfer Learning
APPLICATIONS:
1) Healthcare (Diagnosis & Disease Modelling)
2) Energy (Fusion)
3) Optics (Metasurface Design)
Education/Academic qualification
Electrical Engineering, Control Theory, Ph.D., Aalborg University
Award Date: 1. May 2008
Electrical Engineering, Control Theory, MSc., Sharif University of Technology
Award Date: 1. Feb 2004
Current external positions
Chair Data Analytics @ SDU eScience Center
Visiting Prof. , Harvard University
Industrial PhD & Postdoc, Innovationsfonden
SNSF Medicine & Biology, Swiss National Science Foundation
SNSF Health & Well-being, Swiss National Science Foundation
Keywords
- Modern Artificial Intelligence
- Machine Learning
- Medical image processing
- Mathematic modelling
- Statistics
- Computer Vision
- Stochastic models
Fingerprint
- 1 Similar Researchers
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FINU: Fisher-Informed Noise Injection for Efficient Zero-Shot Unlearning
Kumar, V. S., Nadimi, E. & Gogineni, V. C., 2026, (Accepted/In press) FINU: Fisher-Informed Noise Injection for Efficient Zero-Shot Unlearning.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile2 Downloads (Pure) -
Higher Diagnostic Accuracy of an AI Model for Colposcopy Compared With Conventional and Digital Colposcopic Evaluation
Booth, B. B., Khare, S. K., Blanes-Vidal, V., Bor, P., Nadimi, E. S. & Petersen, L. K., 1. Apr 2026, In: Journal of Lower Genital Tract Disease. 30, 2, p. 118-123Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile4 Downloads (Pure) -
On the Path Dependence of Gradient Ascent-Based Unlearning
Kumar, V. S., Nadimi, E. & Gogineni, V. C., 2026, (Accepted/In press).Research output: Contribution to conference without publisher/journal › Paper › Research › peer-review
Open AccessFile6 Downloads (Pure) -
RKLU: Redistributive KL Distillation for Efficient Retain-Free Machine Unlearning
Kumar, V. S., Nadimi, E. & Gogineni, V. C., 2026, (Accepted/In press).Research output: Contribution to conference without publisher/journal › Paper › Research › peer-review
Open AccessFile8 Downloads (Pure) -
An explainable attention model for cervical precancer risk classification using colposcopic images
Khare, S., Booth, B. B., Blanes-Vidal, V., Nadimi, E. & Petersen, L. K., Nov 2025, In: Computer Methods and Programs in Biomedicine. 271, 12 p., 108976.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile20 Downloads (Pure)
Press/Media
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SDU-forskeres algoritme kan blive et vigtigt skridt mod privatliv i en AI-tid
19/02/2026
1 Media contribution
Press/Media: Press / Media
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SDU-forskeres algoritme kan blive et vigtigt skridt mod privatliv i en AI-tid
18/02/2026
1 Media contribution
Press/Media: Press / Media
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SDU-forskeres algoritme kan blive vigtig i kampen for et privatliv
18/02/2026
1 Media contribution
Press/Media: Press / Media
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SDU-forskeres algoritme kan sikre privatlivet i en AI-tid
17/02/2026
1 Media contribution
Press/Media: Press / Media
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SDU-forskere udvikler ny algoritme til effektiv maskinaflæring
17/02/2026
1 Media contribution
Press/Media: Press / Media
Teaching & Supervision
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PhD co-supervision KPL
S. Nadimi, E. 01/01/2019 → 31/12/2021
Course: Teaching and supervision › Supervision
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PhD co-supervision MLC
S. Nadimi, E. 01/04/2016 → 01/05/2019
Course: Teaching and supervision › Supervision
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SM-DSC-U2 Data Science
Herp, J., Blanes-Vidal, V. & S. Nadimi, E. 01/09/2017 → 01/01/2019
Course: Teaching and supervision › Teaching
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