Azin Janani

Dr. Azin Janani is a Lecturer at the School of Electrical Engineering and Computer Science, University of Queensland. She is a member of the Electromagnetic Research Group where she conducts research on signal processing and disease classification using electromagnetic technologies for medical applications.

Her educational background includes:

• B.S. in Biomedical Engineering from Amirkabir University (Tehran Poly-Technique), Iran (2008)
• M.S. in Biomedical Engineering from Amirkabir University (Tehran Poly-Technique), Iran (2010)
• Ph.D. from Flinders University, Australia (2019)

Dr. Janani specializes in artifact removal, feature extraction, and disease classification from various biological signals including Electrocardiogram (ECG), Phonocardiogram (PCG), and Electroencephalogram (EEG). Her expertise in electromagnetic imaging has led to innovations in non-invasive diagnostic tools, particularly for liver disease detection. She is proficient in Python, Matlab, Java, and C programming languages, supporting her development of computer-aided diagnosis systems.

Her recent publications demonstrate a strong focus on portable electromagnetic devices for medical diagnostics, with particular emphasis on torso imaging and liver health monitoring. These works integrate antenna design, signal processing, and biomedical applications to create novel diagnostic approaches that could transform non-invasive medical testing.

Her notable recognition includes:

• Australian Endeavour Postgraduate Scholarship (2016)

Dr. Janani is actively involved in research supervision and grant-funded projects. She currently supervises PhD research on portable electromagnetic devices for dental vitality testing. Her current funding includes an NHMRC IDEAS Grant (2025-2027) for developing a Portable Electromagnetic Torso Scanner, demonstrating her leadership in translating research into practical medical applications.

As a key member of the Electromagnetic Research Group at the University of Queensland, Dr. Janani collaborates with interdisciplinary teams including Professor Amin Abbosh, Sasan Ahdi Rezaeieh, and Amin Darvazehban to advance electromagnetic sensing technologies for healthcare applications. Her work bridges electrical engineering, computer science, and medical diagnostics to create innovative solutions for challenging healthcare problems.