Welcome to Ubiquitous Data Mining (UDM) Lab! Advances in mobile, wearable, and IoT technologies pose significant challenges in daily life. UDM lab excavates inherent patterns from the data to build applications to improve quality of life. More specifically, our focus is on designing, developing, and evaluating intelligent systems and applications with the help of artificial intelligence in practice. The research pursues the junction of pervasive and mobile sensing and computing-based data analytics, signal processing, human-computer interaction (HCI), and text analysis.
Here is the overview of the key research focus of our lab, which aims to build applied machine learning systems for the betterment of human life.
Understanding Context and Problem: Fundamental understanding of people and the environment through smart devices and user interaction warrants specific research problems. Environment and context are the determinants of people’s involvement in the now and future. How we can understand and predict activities in a complex environment with limited information.
Health and wellness Research and Design: Health and wellness Research and Design: To improve the quality of life - human health and wellness, we envision integrating innovative sensing paradigm technology with the key healthcare settings. Our goal is to design, develop, and deliver smart systems adaptable to people of different needs and connect with clinicians and community members to assist people.
Long term Learning: Any data-driven application depends on the user data. Sensed data changes over time. These changes may be due to environmental settings, adaptation, people preferences, etc. How can we adapt our system to such changes? Can we infer possible changes and learn these parameters. How can we engage and improve user interaction over time?
Our research themes combine multiple disciplines - such as sensor technology, human-computer interaction, healthcare engineering, machine learning system design, and natural language understanding. In short, our lab engages in algorithm design, novel application building, prototype development in real-world settings.
We are always looking for motivated students to join our UDM lab.
If you are interested, please drop me an email.
PhD, Graduate and Undergraduate Students:
PhD Students
- Abm. Adnan Azmee
- Martin Brown
Current Students:
Will be updated soon!
Past Students:
- Manohar Murikipudi (Grad)
- Ryann William (Grad)
- Vamsi Krishna Dhulipalla (Grad)
- Naga Sai Krishna Adatrao (Grad),
- Akula Sai Shashank (Grad)
- Sreekanth Gopi (Grad)
- Donovan McGregor (Undergad)
- Cesar Lucena Trujillo (Undergad)
- Megan Vo (Undergrad)