Our Students

Discover the brilliant minds shaping the future

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Research Journey

Application Process
📝

Research Admission

Rigorous selection process focusing on signal processing aptitude, biomedical engineering background, and research potential in physiological signal analysis.

Coursework
📚

Specialized Training

Advanced courses in biomedical signal processing, machine learning for healthcare, digital signal processing, and medical instrumentation.

Research
🔬

Research Innovation

Cutting-edge projects in ECG/EEG analysis, speech processing for medical diagnosis, and development of novel signal processing algorithms for healthcare.

PhD Students

Sadegh Soleimani
Sadegh Soleimani
Doctoral Candidate
Mahsa Bahrami
Mahsa Bahrami
Doctoral Candidate
Shahrzad Abbasi Baharanchi
Shahrzad Abbasi Baharanchi
Doctoral Candidate

MSc Students

Fateme Jabari
Fateme Jabari
Master's Student

Graduated Students

Ali Kalantari
Ali Kalantari
Alumni
Arezoo Karimizadeh
Arezoo Karimizadeh
Alumni
Mahdis Hojjati
Mahdis Hojjati
Alumni
Mohammad Hossein Moghadamfar
Mohammad Hossein Moghadamfar
Alumni
Mohammad Koloushani
Mohammad Koloushani
Alumni
Mohammadreza Tajeddin
Mohammadreza Tajeddin
Alumni
Mohsen Fallahnejad
Mohsen Fallahnejad
Alumni
Mostafa Kavarizadeh
Mostafa Kavarizadeh
Alumni
Mozhde Firoozi Pouyani
Mozhde Firoozi Pouyani
Alumni
Shamim Mobram
Shamim Mobram
Alumni
Marzie Taheri
Marzie Taheri
Alumni

Research Focus Areas

🎤

Biomedical Speech Processing

Developing advanced algorithms for pathological voice detection, neurological disorder diagnosis through speech analysis, and voice-based health monitoring systems.

❤️

Cardiovascular Signal Analysis

ECG signal processing, heart sound analysis, and development of non-invasive cardiovascular monitoring systems using advanced DSP techniques.

🧠

Neural Signal Processing

EEG/EMG signal analysis, brain-computer interfaces, and neurological disorder detection through advanced signal processing and machine learning.

📊

Medical Data Analytics

Processing and analysis of large-scale physiological data, feature extraction, and pattern recognition for clinical decision support systems.

🩺

Biomedical Instrumentation

Design and development of medical devices for signal acquisition, wearable health monitors, and non-invasive diagnostic equipment.

🧬

Biomedical AI

Deep learning applications in healthcare signal processing, automated diagnosis systems, and predictive modeling of disease progression.

Research Impact

🏆

Algorithm Patents

Our lab has developed 8 patented signal processing algorithms for medical diagnosis, including novel techniques for heart sound separation and pathological voice detection.

🚀

Industry Applications

Alumni have implemented our signal processing techniques in medical devices used in hospitals worldwide, improving diagnostic accuracy for cardiovascular diseases.

📈

Clinical Impact

Our research has contributed to 12 clinical decision support systems currently used in neurology, cardiology, and speech pathology departments globally.

Research Facilities

Research Laboratory

Signal Processing Lab

State-of-the-art facility equipped with high-performance computing clusters for biomedical signal analysis and algorithm development.

Computer Lab

Medical Data Center

Secure facility housing extensive databases of physiological signals including ECG, EEG, and speech recordings for research purposes.

Library

Digital Signal Processing Library

Comprehensive collection of signal processing resources, medical datasets, and research publications in digital format.

Collaboration Space

Medical Instrumentation Lab

Specialized facility for developing and testing medical devices for physiological signal acquisition and processing.

Medical Equipment

Clinical Testing Suite

Facility for clinical validation of signal processing algorithms with proper IRB approval and patient participation.

Innovation Hub

AI Healthcare Hub

Interdisciplinary center for developing AI-powered healthcare solutions using advanced signal processing techniques.

Advancing Healthcare Through Signal Processing

Developing innovative solutions for medical diagnosis and patient monitoring

3 PhD Researchers
1 MSc Researchers
11 Lab Alumni