We operate at the intersection of biomedical signal processing and cognitive neuroscience, combining AI and Machine Learning to decode the human brain. Our primary focus is the analysis of complex neural and physiological signals, such as EEG and EMG, to establish a deeper understanding of both normal human cognition (perception, attention, learning, and decision-making) and neurological/psychiatric conditions. Our work aims to unpuzzle a range of disorders, including epilepsy, dementia, sleep disorders, psychotic disorders, and mental states like stress and anxiety. By building computational models, we develop diagnostic tools and therapeutic approaches for research and clinic.

Our team applies computational techniques to tackle challenging biological questions at the molecular and cellular levels. By using tools such as molecular dynamics simulations, protein modeling, and omics bioinformatics analysis, we investigate topics ranging from cancer mechanisms to the discovery of novel enzymes and biomarkers. These allow us to model disease progression, predict molecular interactions, and guide the design of targeted laboratory experiments, accelerating the discovery of new therapeutic strategies and biomedical innovations.

Our research in molecular and cellular engineering focuses on precisely manipulating biological systems, from proteins and pathways to whole cells, to create solutions in medicine and biotechnology. A key area of interest is the engineering of CAR-T cells for advanced cancer treatment, along with the development of highly specific antibodies for targeted therapies. We also explore the integration of natural compounds, such as herbal extracts, to enhance cellular function, especially in immunotherapy. Additionally, we are developing sustainable solutions for environmental challenges, including engineering new-designed PETase enzymes to accelerate plastic degradation.

Translating our scientific discoveries into real-world solutions is a central goal of our lab. We actively design and develop cost-effective medical devices, user-friendly diagnostic tools, and automated smart laboratory systems. Our innovations include rapid disease detection, clinical monitoring devices, and AI-powered platforms. These technologies aim to enhance research capabilities and improve healthcare delivery, especially in resource-limited settings, by making biomedical tools more accessible, efficient, and impactful.