People
Everyone who has built the lab.
LDQIS is the work of every researcher who has passed through it. Each name links to that person's research, publications, and projects.
Current team
Working on federated learning and agentic AI.
Lab Director · Professor of Computer Science · RIT
Faculty Collaborator · Assistant Professor · UTRGV
2021–present
RIT PhD Researcher · Sphragis · Pharos · Phalanx-FL
Research Collaborator · UTRGV
Past researchers
These researchers led work that remains foundational to LDQIS today, including our Android security apps, the NSF Data Quality & Security Evaluation Framework, and the wearable-sensors and computational-intelligence research lines that preceded today's federated learning work.
- Akhil Killawala
Computational intelligence · FUZZ-IEEE 2018
- Akshay Pudage
Sensor selection optimization · 2019
- Akshay Salunke
Sentiment analysis · MS thesis
- Andrew Heyman
Fuzzy systems + CI software · 2015-18
- Andrew Hoffman
Mobile trust evaluation · 2015
- Ankan Mookherjee
Data quality + Android security · 2017
- Ashish Kumar
Android security framework · 2017
- Chris Soravilla
RIT Graduate Researcher · InteFL contributor
- Darrel Pollard
Mobile trust evaluation · 2015
- Deepak Naidu Talapaneni
RIT Graduate Researcher
- Dmitri Yudanov
Alumnus · Neural network architectures
- Dr. Igor Khokhlov
2018 NSF Webinar Co-Presenter
- Karan Manghi
Multi-modal sensor selection · 2022
- Michael Perez
Android anomaly detection · 2019
- Ninad Ligade
RNNs for Android attacks · 2020
- Rohan Dalvi
Android security framework · 2017
- Rohit Bhaskar
Wearable sensors + ML · 2018-19
- Rustom Adil Makoojina
RIT Graduate Researcher
- Srujan Shetty
Transfer learning + ML systems · 2022
- Suresh Babu Jothilingam
Wearable sensor design · 2018
- Tyler Black
RIT Graduate Researcher · InteFL contributor
- Yash Gulab Rathod
RIT Graduate Researcher