Research

Faculty Research and Development – Internet of Things (FRD-IoT) Award Announcement

The Office of Research would like to congratulate the following faculty members on their successful FRD-IoT proposals:

Nick Zingale; Kenneth Loparo; Benjamin Clark
Maxine Goodman Levin College of Urban Affairs; Case Western Reserve University; University of Oregon
Department of Urban Studies; Electrical Engineering and Computer Science – CWRU; Public Management-Oregon

Smart Cities & Data Bricolage: How the Internet of Things and Crowdsourcing Can Be Leveraged to Improve City Management

This project seeks to better understand how smart city technology (primarily IoT deployment) can aid public managers in adding another layer of intelligence to their decision-making portfolio. We seek to compare how human generated data (crowdsourced data and administrative data) compare to and complements IoT generated data in the management of institutions. Our goal is to create a framework populated with an experimental design, as well as a set of rich case studies.


Wenbing Zhao
Washkewicz College of Engineering
Department of Electrical Engineering and Computer Science

A Multi-Modal Sensing Platform for Behavior and Emotion Monitoring

For neuro- and cognitive sciences, observing a person's behaviors and emotions is essential for accurate assessment of potential diseases. According to the current state of the practice, recent history of a patient's behavioral and emotion symptoms is obtained via interviews with the patient or the patient's caregiver. In this project, we aim to develop a multi-modal sensing platform that can be used to coUect direct evidence of a patient's behavioral and emotion symptoms continuously.


Hongxing Ye
Washkewicz College of Engineering
Department of Electrical Engineering and Computer Science

Cyber-physical Security in IOT-Enabled Microgrid

The objective is to explore the cyber-physical security in an Internet of Things (loT) enabled Microgrid. loT is the inter-networking of physical devices, vehicles, buildings, and other items with the capability to collect and exchange data. loT allows the objects to be sensed or controlled remotely via data network infrastructure. On the other hand, the energy system is a physical network. The integration of loT and the energy system is a perfect instance of cyber-physical systems in engineering. However, while loT brings more visibility and controllability to the Microgrid, it also poses significant security challenges at the cvber and physical level.


Ye Zhu
Washkewicz College of Engineering
Department of Electrical Engineering and Computer Science

On Security and Privacy of IoT Devices

The Internet of Things (loT) is captivating organizations because of its potential to rapidly transform businesses and people's lives. The security and privacy of loT devices need special attention since the devices are vulnerable to security attacks and the devices may collect sensitive data of people's lives. In this project we plan to develop algorithms to protect security and privacy of FRD-loT devices.


Miyuki Tedor; Patricia Stoddard-Dare; Wenbing Zhao
College of Liberal Arts and Social Sciences; College of Liberal Arts and Social Sciences; Washkewicz College of Engineering
Department of Criminology, Anthropology, and Sociology; Social Work; Electrical Engineering and Computer Science

Development of a Mobile App/Web for Matching Drug Addiction Treatment Services

One crucial way to deal with the opioid epidemic is to remove a major roadblock to recovery, which is the difficulty in finding an available substance abuse treatment facility in a timely manner. To do this, we attempt to create a mobile app (and a web service) that will serve as a "one-stop virual shop" for substance users, their family members, and others to instantaneously find local treamtent facilities and other services for drug addiction.


Kelle DeBoth; Cigdem Slankard; Anne Berry; Madalynn Wendland; John Schaefer
College of Sciences and Health Professions; College of Liberal Arts and Social Sciences; College of Liberal Arts and Social Sciences; College of Sciences and Health Professions; College of Education and Human Services
Department of Health Sciences; Film and Media Arts; Art & Design; Health Sciences; Teacher Education

Using interactive media and an augmented reality app to increase access to community spaces for children with mobility and sensory impairments

This project will develop interactive media and utilize an augmented reality app to provide video demonstrations of leveled, adapted activities for children with special needs attending CSU community events. Two technologies will be employed; an augmented reality app (Layar) pairing with visual media in a brochure to prepare for the events, and interactive streaming media for on-site activity suggestions. Both technological supports will be based on the motor or sensory processing abilities of attendees.


Xiongyi Liu; Wenbing Zhao
College of Education and Human Services; Washkewicz College of Engineering
Department of Curriculum and Foundations; Electrical Engineering and Computer Science

Development of a Web-Based System for Supporting Home-Based Care and Treatment of Children with Autism Spectrum Disorder (ASD)

The number of children diagnosed with Autism Spectrum Disorder (ASD) has significantly increased in recent years. The responsiblity of attending treatment sessions and providng daily care often leave the parents financially and mentally challenged. The purpose of the proposed project is to develop a web-based system for supporting home-based care and treatment of children with ASD. Our proposed system will use an avatar to deliver training sessions to improve specific social and communication skills of ASD children as well as prompts for engaging ASD children in anxiety reducing, mood lifting activities whenever needed.


Linda Francis
College of Liberal Arts and Social Sciences
Department of Criminology, Anthropology, and Sociology

Putting the Person in the Program- Using Social Science to Tailor a Virtual Training Program to Individual Users

Affective memory includes a person's self-esteem and self-efficacy, and is crucial to emotional wellbeing - but is not well-supported by the structure of residential care. We are creating a computer program that will incorporate each resident's unique affective memory profile and simulate supportive interactions based on that profile. This study will convert qualitative findings to numeric data for programming the simulation: this conversion is the crucial bridge to enable tailoring of the program to individual respondents.