Inan Research Lab


Principal Investigator

Omer T. Inan, PhD

Linda J. and Mark C. Smith Chair in Bioscience and Bioengineering
Associate Professor of Electrical and Computer Engineering
Adjunct Associate Professor of Biomedical Engineering
Program Faculty Bioengineering


Ph.D., Electrical Engineering, Stanford University, Stanford, CA, 2009
M.Sc., Electrical Engineering, Stanford University, Stanford, CA, 2005
B.Sc., Electrical Engineering, Stanford University, Stanford, CA, 2004


Major Awards
Fellow, American Institute for Medical and Biological Engineering (AIMBE), 2022
Outstanding Doctoral Thesis Advisor Award, Georgia Tech, 2021
Academy Award for Technical Achievement, American Academy of Motion Picture Arts and Sciences (Oscars), 2021
Office of Naval Research Young Investigator Award (ONR YIP), 2018
National Science Foundation CAREER Award, 2018
IEEE Sensors Early Career (Young Professional) Award, 2018
Sigma Xi Young Faculty Award, Georgia Tech, 2017
Lockheed Dean’s Excellence in Teaching Award, Georgia Tech, 2016
G. J. Lieberman Fellowship, Stanford University, 2009


Samer Mabrouk, PhD

My research interests are to use embedded systems and machine learning to develop miniaturized sensors that can be used in and outside the clinic. My main focus is to develop a miniaturized bioimpedance sensor to detect IV infiltration and evaluate joint health.

Nordine Sebkhi, PhD

My main research interests are embedded systems and assistive robotics.

Quentin Goossens, PhD
My research interests focus on developing non-invasive objective measurement methods to assess and detect total knee arthroplasty (TKA) complications by analyzing joint acoustic data using signal processing algorithms. More specifically, these methods are designed for postoperative at home monitoring.

Goktug Cihan Ozmen, PhD
I am interested in wearable biomechanics to enable patient monitoring in real world settings. My main focus is the development of wearable technologies for measuring novel biosignals. By using signal processing and machine learning methods to analyze these novel biosignals, I aim to help people improve their health and performance.


Oludotun Ode
My research interests center around the development of embedded systems and statistical signal processing algorithms for bio-medical applications. Specifically, I am currently working on developing methods for detecting local muscle fatigue during physical exercise.

Hewon Jung
My research interest focus on biomedical sensing system for home monitoring. This includes developing novel wearable devices, measuring bio-signals, and analyzing those through signal processing algorithms to get clinically useful data.

Jacob Kimball

My research interests include machine learning and bio-signal processing for applications in wearable health monitoring, particularly for detecting and monitoring trauma and assisting in triage.

Luis Rosa
My research interests involve the development of better sensing modalities for real-time gait optimization and joint health assessments. More specifically, on combining machine learning with ultrasound and joint acoustical emissions to extract important physiological information that was previously only obtained through post-processing to be used in-the-loop.  

Sungtae An

My research interests focus on deep learning with less supervised environments, including weakly supervised, semi-supervised, and transfer learning, particularly for human activity recognition and physiological signal analysis.

Sevda Gharehbaghi

My research interests include designing circuits and systems for sensing biological signals, and finding biomarkers for quantifying the biomedical condition through signal processing techniques. Designing such systems and miniaturizing them to a wearable size helps with health monitoring for both clinical and at-home settings.

Asim Gazi
My research interests include systems and controls, machine learning, and non-invasive sensing and modulation in the context of affective computing. I aim to develop closed-loop systems that non-invasively improve mental health and enhance human performance by automatically equilibrating latent responses to feelings such as stress and anger. 

Kristy Scott Richardson
My research interests focus mainly on developing a quantitative method for joint assessment using data provided from wearable devices. I have been using joint sounds, kinematic data, and bioimpedance data as well as machine learning techniques to differentiate severity of rheumatoid arthritis in the knee.

David Lin

My research interests lie in the hardware development of non-invasive wearable devices and the application of signal processing techniques to get clinically useful data from them.

Arpan Bhavsar
I’m interested in assistive technology that helps enable new forms of mobility, communication, and computer interaction. My technical interests lie in hardware design and embedded systems for bio-engineering applications and I look forward to further developing my skills in this space.

Keaton Scherpereel

My research is focused on the quantification and modulation of joint load, specifically how joint acoustic emissions could be used to estimate load and in turn provide physiological feedback to exoskeletons.

J Antonio Sánchez-Pérez

My research interests center around the development of non-invasive wearable biomedical devices for improving diagnosis and remote monitoring of patients. I am particularly interested in developing embedded systems for monitoring cardiopulmonary health.

Michael Chan

My research interests focus on solving common biomedical problems such as scarcity of data, domain discrepancies, and data fusion using deep learning. I am also interested in incorporating prior knowledge of physiological signals to neural network architecture by leveraging its expressiveness.

Mohammad Nikbakht

My research interests include hardware and embedded systems development for miniaturized wireless non-invasive wearables, remote detection via image sensing technologies, and the application of machine learning techniques in conjunction with the above to effectively monitor health and detect disease. I also enjoy designing GUIs for the systems that I develop.

John Berkebile

My research is focused on the development of wearable physiological sensing devices by integrating embedded systems and pairing them with signal processing techniques, with a specific interest in quantifying cardiopulmonary health.

Christopher Nichols

My research interests revolve around using non-invasive bio-signal sensing and measurement techniques to help improve patient outcomes. I am especially passionate about acoustics, signal processing, and device design that empowers patients to take ownership of their health both inside and outside of the clinic.

Emily Moise

My research interests focus on wearable device hardware design and signal processing techniques to improve health and accelerate performance recovery.

Tamara Lambert

My research interests lie at the interface of engineering and public health. I aim to understand how vagal nerve stimulation can decrease opioid dependency in individuals suffering with opioid use disorder. In the future, I hope to use my work to promote healthcare equity for marginalized populations.

Cem Okan Yaldiz

My research focuses on applications of signal processing, machine learning, and deep learning in time series signals for the domain of wearables.

Trask Crane

Currently transitioning to assist with the development of a miniaturized bioimpedance sensor to detect IV infiltration and evaluate joint health.

Afra Nawar

My research interests are focused on biomedical sensing systems for investigating stress and mood disorders such as PTSD. This includes assessing and developing non-invasive technology as treatment options and investigating signal processing methods to uncover more about the underlying processes involved in mental health.

Farhan Rahman

My research interests focus on the development of non-invasive hardware for wearable biomedical sensing systems, specifically in neural engineering applications such as stress management, psychiatric disorders, and nerve stimulation therapy. I am also interested in applications of machine learning and signal processing in the non-invasive healthcare space.

Seyedeh Fereshteh Shahmiri

My research interest lie at the intersection of ML, HCI, and novel sensing technologies to address and improve the challenges in the area of human activity recognition and wearable joint health monitoring with specific focus on non-invasive joint kinematics assessments.


Shlok Natarajan

Srirakshaa Sundararaj

Georgia Saks

Alexis Seith

Lan Lan

Thomas Contis


Abdul Qadir Javaid

PhD, 2016

Jambu Jambulingam

M.Sc., 2015

Sreenidhi Muthu

M.S., 2016

Jordan Conant

M.S., 2016

Dr. Maziyar Pouyan

Post-Doc, 2016-2017

Hazar Ashouri

PhD, 2017

Daniel Whittingslow

Andrew Carek

PhD, 2019

Dr. Sinan Hersek

PhD, 2017
Post-Doc, 2017-2020

Caitlin Teague

PhD, 2020

Nick Bolus

PhD, 2020

Dr. Mohsen Safaei

Post-Doc, 2019-2020

Brandi Nevius

MS, 2020

Daniel Hochman

MS, 2021

Hyeon Ki Jeong

PhD, 2021

Venu Ganti

PhD, 2021