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Achraf Djemal

@achrafdjemal

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Dr.-Ing. electrical engineer specializing in sensor systems, real-time biosignal processing, and embedded AI.

Germany

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What I'm looking for

I seek R&D or research roles applying sensor fusion, embedded AI, and biosignal processing in collaborative, interdisciplinary teams with opportunities for clinical validation and grant-funded projects.

I am a Dr.-Ing. in Electrical Engineering and Information Technology with interdisciplinary expertise in intelligent systems, multimodal biosignal processing, and sensor technology for healthcare and industrial applications. I have led academic research, supervised international students, and coordinated bilateral collaborations between universities.

My work includes award-winning doctoral research on multimodal seizure classification, development of wearable and embedded sensor systems, and creation of real-time signal processing and machine learning pipelines for clinical and mobile applications. I have a strong record in grant preparation, international collaboration, and clinical validation.

I excel at translating research into robust prototypes and user-facing tools—GUI, embedded firmware, and low-power sensor hardware—while managing projects, writing reports, and communicating results effectively in multicultural teams.

Experience

Work history, roles, and key accomplishments

Senior Researcher

Chemnitz University of Technology

Jan 2025 - Jun 2025 (5 months)

Led interdisciplinary research in intelligent systems and multimodal biosignal processing for healthcare and industrial applications, prepared competitive grant applications (DFG, ZIM, BMBF, DAAD) and delivered courses on measurement systems and data analysis.

Signal Processing Machine Learning Python Embedded Systems BLE Communication Sensor Fusion

Sensor Systems Engineer

Chemnitz University of Technology

Jan 2024 - Jun 2025 (1 year 5 months)

Designed a smart CNT multi-sensor insole for accurate foot pressure measurement (5–800 kPa), implemented real-time gait analysis, machine learning classification, and an interactive GUI for clinical interpretation.

IMU Signal Processing Feature Extraction Machine Learning Embedded Systems Data Visualization

Project Coordinator

Chemnitz University of Technology

Jan 2022 - Dec 2024 (2 years 11 months)

Coordinated the DAAD KOSPIE program managing bilateral exchanges, student placements, workshops, and grant reporting to strengthen academic partnerships with Tunisian universities.

Project Coordination Intercultural Communication Grant Reporting Stakeholder Management Event Planning Student supervision

Researcher (PhD)

Chemnitz University of Technology

May 2019 - Dec 2024 (5 years 7 months)

Conducted PhD research on multimodal classification of epileptic seizures with real-time biosignal processing and clinical collaborations, awarded Summa Cum Laude (grade 1.0) and supervised international students.

Clinical Validation Feature Extraction Machine Learning Python Matlab Project supervision

M.Sc. Researcher

National School of Electronics and Telecommunications of Sfa

Jan 2017 - Dec 2019 (2 years 11 months)

Developed intelligent sensor solutions for activity recognition and optimized embedded AI systems for real-time biosignal processing on low-power mobile and wearable platforms.

Signal Processing Wearable Platforms Python C C++Embedded Systems

Education

Degrees, certifications, and relevant coursework

Chemnitz University of Technology

Postdoctoral Researcher, Measurements and Sensor Technology

2025 - 2025

Activities and societies: Leading academic research, teaching courses on measurement systems and sensor technologies, preparing grant applications and managing international collaborations.

Senior Researcher (Post-Doc) position at the Professorship of Measurements and Sensor Technology focusing on intelligent systems, data-driven analytics, and multimodal biosignal processing for healthcare and industrial applications.

Chemnitz University of Technology

Doctor of Engineering (Dr.-Ing.), Electrical Engineering and Information Technology

2019 - 2024

Grade: 1.0 (Summa Cum Laude)

Activities and societies: Research on multimodal sensor integration, supervision of students, collaboration with hospitals, grant writing (DFG, ZIM, BMBF, DAAD).

Awarded Dr.-Ing. in Electrical Engineering and Information Technology with summa cum laude for a dissertation on multimodal classification of epileptic seizures, focusing on real-time biosignal processing and AI-based seizure detection.

National School of Electronics and Telecommunications of Sfax (ENETCOM)

Master of Science, Information and Communication Technology

2017 - 2019

Activities and societies: Developed embedded AI systems for real-time bio-signal analysis and low-power wearable implementations.

Completed M.Sc. in Science and Technology of Information and Communication with work on intelligent sensor solutions and embedded machine learning for activity recognition and biosignal processing.

National School of Electronics and Telecommunications of Sfax (ENTCOM)

Bachelor of Arts, Telecommunication and Information Technology

2014 - 2017

Activities and societies: Projects on signal quality enhancement, power control mechanisms, and data compression techniques.

Completed B.A. in Telecommunication and Information Technology focusing on DSP, transmission protocols, power control in 4G/LTE, and image processing for communications.