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France

USD 80 /hr

Researcher & Scientific Editor (PhD), Expert in AI, Machine Learning & Biomedical Research Writing

Profile Summary

I am a senior research scientist (PhD, HDR in Computer Science) with over 15 years of experience in artificial intelligence, machine learning, and biomedical data analysis. My work focuses on developing AI-based methods for early diagnosis and movement analysis in infants, using multimodal data such as video, audio, and physiological signals. I have coordinated and contributed to several international and European projects, including clinical validation studies and Horizon Europe proposals in digital health. I provide professional scientific editing and proofreading services for research papers, theses, and grant applications in the fields of computer science, AI, and medical technology. My expertise covers advanced data analysis, deep learning, and scientific writing tailored for high-impact journals (IEEE, Elsevier, Springer, Nature group). Key expertise: • Scientific editing and English proofreading (AI, health, neuroscience) • Research design and data analysis in AI and biomedical engineering • Preparation of responses to reviewers and journal resubmissions • Experience with international collaborations and multidisciplinary teams • Strong publication record and peer-review experience My goal is to help researchers clearly and effectively communicate their scientific contributions, ensuring clarity, structure, and publication-readiness while preserving scientific accuracy and author voice.

Subject Matter Expertise

• ☆ LaTex
• ☆ Health Technology Assessment
• ☆ E-Health & Telemedicine

Services

• Writing
• Research
• Data & AI

Writing Clinical Trial Documentation, Creative Writing, General Proofreading & Editing

Research Scientific and Technical Research

Data & AI Algorithm Design-ML, Data Visualization

Work Experience

Researcher

Université Paris-Saclay

December 2021 - Present

INSA

February 2018 - Present

Education

Ph.D

Ecole Nationale d'Ingénieurs de Tunis

September 2011 - March 2015

Certifications

• PhD in Computer Science (Machine Learning & Speech Analysis)

  INSA ROUEN

  January 2015 - Present

Publications

JOURNAL ARTICLE

Imen Trabelsi, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso (2025). Postural regulation and signal segmentation using clustering with TV regularization approach . Biomedical Signal Processing and Control.

Samuel Diop, François Jouen, Jean Bergounioux, Imen Trabelsi (2025). Fine-Tuned YOLO Model for Monitoring Children Across Medical Scenes Based on a Large-Scale Real-World Dataset for Children Detection . IEEE Access.

Samuel Diop, Nouha Essid, François Jouen, Jean Bergounioux, Imen Trabelsi (2024). Adapting Action Recognition Neural Networks for Automated Infantile Spasm Detection . IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Imen Trabelsi, Filipo Studzinski Perotto, Usman Malik (2022). Training universal background models with restricted data for speech emotion recognition . Journal of Ambient Intelligence and Humanized Computing.

Imen Trabelsi, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso (2022). Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach . Computers in Biology and Medicine.

Imen Trabelsi and Romain H{\'{e}}rault and H{\'{e}}loise Baillet and R{\'{e}}gis Thouvarecq and Ludovic Seifert and Gilles Gasso(2022). Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach . Computers in Biology and Medicine. 143. p. 105193. Elsevier {BV}

Filipo Studzinski Perotto and Imen Trabelsi and St{\'{e}}phanie Combettes and Val{\'{e}}rie Camps and Nicolas Verstaevel(2021). Deciding when to quit the gambler's ruin game with unknown probabilities . International Journal of Approximate Reasoning. 137. p. 16--33. Elsevier {BV}

Imen Trabelsi and Filipo Studzinski Perotto and Usman Malik(2021). Training universal background models with restricted data for speech emotion recognition . Journal of Ambient Intelligence and Humanized Computing. Springer Science and Business Media {LLC}

TRABELSI, IMEN and BOUHLEL, MED SALIM(2017). LEARNING VECTOR QUANTIZATION FOR ADAPTED GAUSSIAN MIXTURE MODELS IN AUTOMATIC SPEAKER IDENTIFICATION . Journal of Engineering Science and Technology. 12. (5). p. 1153--1164.

Imen Trabelsi, Med Salim Bouhlel(2016). Comparison of Several Acoustic Modeling Techniques for Speech Emotion Recognition . International Journal of Synthetic Emotions. 7. (1). p. 58--68. {IGI} Global

Imen Trabelsi, Med Salim Bouhlel(2016). Comparison of Several Acoustic Modeling Techniques for Speech Emotion Recognition . International Journal of Synthetic Emotions. 7. (1). p. 58--68.

Imen Trabelsi, Med Salim Bouhlel(2016). A multi features fusion support vector machine for classification of emotion issue in the design of an audio recognition system . International Journal of Applied Pattern Recognition. 3. (2). p. 181. Inderscience Publishers

Imen Trabelsi, Med Salim Bouhlel(2016). A multi features fusion support vector machine for classification of emotion issue in the design of an audio recognition system . International Journal of Applied Pattern Recognition. 3. (2). p. 181.

Trabelsi, Imen and Ben Ayed, D and Ellouze, Noureddine(2016). Comparison Between GMM-SVM Sequence Kernel And GMM: Application To Speech Emotion Recognition. Journal of Engineering Science and Technology. 11. (9). p. 1221--1233.

Trabelsi, Imen and Bouhlel, Med Salim and Nilanjan, Dey(2016). Discrete and continuous emotion recognition using sequence kernels. International Journal of Intelligent Engineering Informatics. 16. (7). inderscience

Yesmine Ben Amar, Imen Trabelsi, Nilanjan Dey, Salim Bouhlel(2016). Euclidean Distance Distortion Based Robust and Blind Mesh Watermarking . International Journal of Interactive Multimedia and Artificial Intelligence. 4. (2). p. 46. {IMAI} Software - International Journal of Interactive Multimedia and Artificial Intelligence

Trabelsi, Imen and Bouhlel, Med Salim(2016). Improving emotion recognition using spectral and prosodic features. International Journal of Imaging and Robotics. 16. (4). p. 49--61. ceser

Imen Trabelsi, Med Salim Bouhlel(2015). Feature Selection for GUMI Kernel-Based SVM in Speech Emotion Recognition . International Journal of Synthetic Emotions. 6. (2). p. 57--68. {IGI} Global

Imen Trabelsi, Med Salim Bouhlel(2015). Feature Selection for GUMI Kernel-Based SVM in Speech Emotion Recognition . International Journal of Synthetic Emotions. 6. (2). p. 57--68.

Imen Trabelsi, Dorra Ben Ayed, Noureddine Ellouze(2013). Improved Frame Level Features and SVM Supervectors Approach for The Recogniton of Emotional States from Speech: Application to Categorical and Dimensional States . International Journal of Image, Graphics and Signal Processing. 5. (9). p. 8--13. {MECS} Publisher

Trabelsi, Imen and Ben Ayed, Dorra(2013). A Multi Level Data Fusion Approach for Speaker Identification on Telephone Speech. International Journal of Signal Processing, Image Processing and Pattern Recognition. 6. (2).

Trabelsi, Imen and Bouhlel, Med SalimEvaluation of Influence of Arousal-Valence Primitives on Speech Emotion Recognition. International Arab Journal of Information Technology. 15. (5).

CONFERENCE PAPER

Imen Trabelsi, Jules Francoise, Yacine Bellik(2022). Sensor-based Activity Recognition using Deep Learning: A Comparative Study . Proceedings of the 8th International Conference on Movement and Computing. {ACM}

Rimah Amami, Imen Trabelsi, Noureddine Ellouze(2016). Possibilistic support vector machines for automatic phoneme recognition . 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). {IEEE}

Trabelsi, Imen and Amami, Rimah and Ellouze, Noureddine(2016). Automatic emotion recognition using generative and discriminative classifiers in the GMM mean space . Advanced Technologies for Signal and Image Processing (ATSIP), 2016 2nd International Conference on. p. 767--770.

Rimah Amami, Imen Trabelsi, Noureddine Ellouze(2016). Possibilistic support vector machines for automatic phoneme recognition . 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Imen Trabelsi, Dorra Ben Ayed(2012). On the use of different feature extraction methods for linear and non linear kernels . 2012 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT). {IEEE}

Imen Trabelsi, Dorra Ben Ayed(2012). On the use of different feature extraction methods for linear and non linear kernels . 2012 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT).

BOOK CHAPTER

Combining Bandits and Lexical Analysis for Document Retrieval in a Juridical Corpora @incollection{perotto:hal-03283484, TITLE = {{Combining Bandits and Lexical Analysis for Document Retrieval in a Juridical Corpora}}, AUTHOR = {Perotto, Filipo Studzinski and Verstaevel, Nicolas and Trabelsi, Imen and Vercouter, Laurent}, URL = {https://hal-normandie-univ.archives-ouvertes.fr/hal-03283484}, BOOKTITLE = {{40th SGAI International Conference on Artificial Intelligence}}, PAGES = {317-330}, YEAR = {2020}, MONTH = Dec, DOI = {10.1007/978-3-030-63799-6}, HAL_ID = {hal-03283484}, HAL_VERSION = {v1}, } .

OTHER

Yesmine Ben Amar, Imen Trabelsi, Nilanjan Dey, Salim Bouhlel (2016). Euclidean Distance Distortion Based Robust and Blind Mesh Watermarking . OpenAlex.

Yesmine Ben Amar, Imen Trabelsi, Nilanjan Dey, Salim Bouhlel (2016). Euclidean Distance Distortion Based Robust and Blind Mesh Watermarking . OpenAlex.

Yesmine Ben Amar, Imen Trabelsi, Nilanjan Dey, Salim Bouhlel (2016). Euclidean Distance Distortion Based Robust and Blind Mesh Watermarking . OpenAlex.

Imen Trabelsi, Med Salim Bouhlel Feature Selection for GUMI Kernel-Based SVM in Speech Emotion Recognition . Artificial Intelligence. p. 941--953. {IGI} Global

Imen Trabelsi, Med Salim Bouhlel Feature Selection for GUMI Kernel-Based SVM in Speech Emotion Recognition . Artificial Intelligence. p. 941--953.