News

The latest SAIL Lab news


SAIL Lab Presents at IRC Open House

October 5, 2018

The SAIL Lab and UMBC Psychology presented their collaborative VR project at the IRC (Imaging Research Center) Open House event on Thursday, October 5th. Represenatives from other organizations and institutions received an insider-look at the sensor technology and physiological data collection methods that SAIL will be utilizing for the study and projects.

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VR Prep at TrueGrits Buffet

September 13, 2018

Data collection for the SAIL Lab, UMBC Psychology, and IRC (Imaging Research Center) VR collaboration begins this month. This week, SAIL Lab and members from UMBC's Psychology department will be conducting preliminary tests in UMBC's TrueGrits buffet.


About

Learn about SAIL Lab and our research team

Our Mission

The Sensor Accelerated Intelligent Learning (SAIL) research lab is led by Dr. Jiaqi Gong at the University of Maryland, Baltimore County.

SAIL Lab is dedicated to inventing, developing and applying robust, adaptive and efficient cyber-physical-social systems through innovative data science insights and methodologies and innovative mobile and wearable sensing systems design with a provable guarantee to understand, examine and advance the relationship between human and technology. We conduct our research on the basis of data science and analytics and cyber-human systems. We have a variety of projects going on in the lab examining a wide range of human systems. Please visit our Research section to learn more news our exciting projects of the past and present!


Our Team

Jiaqi Gong, Ph.D.

Jiaqi Gong is a Assistant Professor at the University of Maryland, Baltimore County. He is also an affiliated faculty member in the NSF Nanosystems Engineering Research Center (NERC) for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST). His research is in data science and analytics and cyber-human systems, with a focus on developing robust, adaptive and efficient cyber-physical-social systems through innovative data science insights and methodologies and novel mobile and wearable sensing systems design with provable guarantee to understand, examine and advance the relationship between human and technology.

Varun Mandalapu

Varun is a first year PhD student in Information Systems at University of Maryland, Baltimore County. Varun has a master’s degree in Management Information Systems from University of Illinois at Springfield, Springfield, IL and a master’s degree in Sensor System Technology from Vellore Institute of Technology (VIT) University, Vellore, India. Varun worked as a Software Engineer at Accenture, India. His research interests include Artificial Intelligence in Health Care, Data Science, Decision Support, Machine Learning in Education and Wearable Technology.

Stephen Kaputsos

Stephen is in Information Systems and Psychology at the University of Maryland, Baltimore County. His primary areas are Neurorobotics, Computational Cognitive Science, and Computer Vision. Among his strengths are developing innovative extended reality and cognitive systems. His current research features swarm robotics, deep reinforcement learning in computer vision, and multi-robot knowledge exchange in various mission environments including land, sea and air. The American Management Association has awarded Stephen a certification in Strategic Leadership.

Munshi Mahbubur Rahman

Mahbub is a PhD student in Information Systems at University of Maryland, Baltimore County. He earned his Bachelor's degree in Electronics and Communication Engineering from Khulna University of Engineering and Technology, Khulna, Bangladesh. He worked as a Database Administrator in NCC Bank back in Bangladesh and has experience in the telecommunications industry. His research includes Artificial Intelligence, Data Analytics, Neural Network and more specifically Reinforcement Learning.

Jinnuo Jia

Jinnuo is a master student in Information Systems at University of Maryland, Baltimore County. Jinnuo has a B.S. degree in Information Systems from UMBC as well. Jinnuo is interested in applied machine learning, data science, wearables and health, social network analysis, recommender systems and natural language processing. She is also getting deep into markup and scripting languages including XHTML, CSS, JavaScript, and Ajax, server-side web technology, such as PHP, common databases used with web technology, and XML.

Claire Tran

Truc ‘Claire’ Tran is pursuing her M.S degree in Information Systems at the University of Maryland, Baltimore County (UMBC). She holds a Bachelor’s Degree in Business Technology Administration from UMBC. She is a young, passionate and self-motivated entrepreneur who founded two online businesses on Facebook in the past 3 years and is also a real estate investor. In addition, Claire is integrity-driven, multilingual, and IT analytics strong. She wants to apply her IT knowledge in the businesses sector to maximize corporate strengths and minimize weaknesses.

Research

More about SAIL Lab research projects

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Human Intervention for Optimized Deep Reinforcement Learning

Preprint

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Framework for Multi-Robot Knowledge Exchange using Shared Mental Models

Preprint

Contact

Interested in our research?

    • Mailing Address:
      SAIL Lab
      ITE 448
      Information Systems Department
      UMBC, 1000 Hilltop Circle
      Baltimore, Maryland 21250
    • Phone:
      (410) 455-6716

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