Ekaterina Golovkina or Kate is a graduate student in Health Informatics at DePaul, with a background in Health Science/Health Education and Promotion. Her current research focuses on integrating motion capture (Vicon), inertial measurement units (IMUs), and portable ultrasound (POCUS) systems to develop synchronized data acquisition pipelines. She works on collecting, aligning, and analyzing multimodal sensor data to support research in applying SLAM movement tracking and clinical applications. Her interests include applied machine learning, digital health technologies, robotics, bioengineering and the use of AI to enhance data based decision making in healthcare. 

Abdul Azeez is a Graduate Research Assistant in the lab and an M.S. Health Information Technology candidate at DePaul University’s Jarvis College of Computing and Digital Media. With a clinical background as a licensed dentist, Abdul brings a distinctive perspective to health technology research — one that bridges patient-facing care and data-driven systems.

His interests go beyond innovation for its own sake. Abdul is passionate about taking research ideas all the way — from conception and development through to market deployment, growth strategy, and real-world impact. He sees health IT not just as a technical discipline, but as one that demands consulting acumen, strategic thinking, and an understanding of how solutions actually reach the people who need them.

In the lab, Abdul contributes to research on physiological state estimation for pulmonary rehabilitation, with a focus on COPD monitoring using mobile sensors and machine learning. 

Intelligent Systems Engineering undergraduate student with hands-on experience and published research in embedded systems, PCB design, and custom electronics: passionate about building hardware that bridges physical and digital.

An undergraduate junior data science student at DePaul, I am interested in the overlap between machine learning, analytics, and applied mathematics. In this project, I am contributing to data capture and synchronization pipelines and supporting the technical setup of study equipment. This project is my first experience with healthcare-related research, which captured my interest as I aim to apply data science to issues with direct human impact.  

John “Jack” Ryan is an undergraduate student at DePaul University’s Jarvis College of Computing and Digital Media, majoring in Intelligent Systems Engineering. Jack’s previous in-class experience includes PCB design, signal processing, and breadboard tomfoolery. His current project is to develop a non-invasive wearable biosensor for rodent research that tracks multiple real-time biometrics in a continuous manner for months at a time. 

Mohammad Shakir is an undergraduate research assistant and Intelligent Systems Engineering student at DePaul University’s College of Computing and Digital Media. His prior in-class background includes microcontroller programming, circuit design, and signal processing. As a research assistant, Mohammad will facilitate in the circuit board design and embedded firmware development for a non-invasive wearable biosensor for rodent research.

Martin Velev is an Intelligent Systems Engineering undergraduate student at DePaul. Martin has had hands-on experience with designing and prototyping PCBs for a variety of fields, including but not limited to systems deeply embedded in existing environments, 3D design for such systems, and automotive technology. Martin’s current research is aimed towards combining robotics and fiber optics to pave the way for the future of bronchoscopies.

I am a graduate student pursuing an M.S. in Health Informatics at DePaul University. I hold bachelor’s degrees in Business Administration and Nursing and am a registered nurse (RN) licensed in both Taiwan and the United States. My interdisciplinary background in nursing, business, and health informatics allows me to approach healthcare research from both clinical and systems-level perspectives.

My research interests lie at the intersection of healthcare, technology, and data. I am particularly interested in health informatics, healthcare data analytics, digital health, and the use of emerging technologies to support clinical decision-making and improve patient outcomes. Through my research, I hope to explore practical ways to connect clinical experience with data-driven healthcare innovation.

Dagmawe Amare Haileslassie, or Dag, is an MS student in Software Engineering at DePaul University, with a BA in Computer Science and Mathematics from St. Olaf College. His research background includes robotics and combinatorial mathematics. In robotics, he studied how communication quality in wireless ad-hoc mesh networks is affected by physical interference, informing multi-robot exploration. He has over four years of professional experience as a software engineer at Morningstar, Inc. His interests include software engineering, multi-robot exploration, and computational optimization.

In this lab, his current research integrates fiber-optics with robotics to improve navigation in robotic bronchoscopy. The work aims to enable more precise and safer access to peripheral lung lesions.