UTC RAVE Alert

Faculty Research

Scientific research is a critical tool to seek truth, explore areas for growth, and navigate a complex world. It is through systematic research that we move past preconceived notions and constraints to gain an objective understanding of our world and discover how it can be improved. At the College of Engineering and Computer Science, research is a pillar of our scholarly pursuits and we are proud to highlight the accomplishments of our esteemed faculty members.

 

Chemical Engineering

Dr. Sangwoo Yang

Research Fields:
  • Transparent insulating materials
  • Lightweight thermal and electrical additives
  • Modeling heat and mass transfer
  • Solar thermal energy conversion
  • Energy-efficient building Water harvesting
Selected journal papers Covered news
Civil Engineering

Dr. Osama Osman

Research Fields:
  • Smart simulation, analytics and modeling in intelligent transportation systems

VISIT RESEARCH WEBSITE >>

Computer Science and Engineering

Dr. Mina Sartipi

Center for Urban Informatics and Progress (CUIP) - Scientists from the University of Tennessee at Chattanooga will lead a team to create and test smarter intersections, where drivers will spend less time idling at red lights, and cars will know what speed to drive to clear every green light.
READ THE FULL STORY >>

Dr. Farah Kandah

Cyber Poverty - Financial and technological situation where small businesses, individuals, and groups are unable to afford the cybersecurity they need in order to safely operate their systems, devices, and processes safely.
Software development in the router, modem, and, where appropriate, other devices supplied by an ISP can be coupled with blockchain technology, machine learning, and common device vetting to create a "safer space" to operate without as many threats or as obvious threats simply overrunning users of the Internet. This infrastructure architecture and associated prototyping is ongoing research at the SimCenter in the Cybersecurity and Cyber-physical Systems
 

XiveNet - XiveNet, the testbed being developed, will comprise both real and simulated ECUs, to eliminate significant costs such as the need to purchase a separate vehicle for testing. The hybrid approach will allow the testbed not only to be flexible but also to mirror real-life scenarios by providing more realistic feedback than a software-based approach can. This project is funded by the National Security Agency.

In-vehicle networks are implemented via the ISO standard Controller Area Network (CAN) bus protocol, which is a message-based communication standard for connecting basic, low-powered micro-controllers called Electronic Control Units (ECUs) that are found in modern vehicles. Up to 100 ECUs communicating via the CAN can be found in one vehicle. Likewise, approximately 100 million lines of code can be required to control devices in the network and to keep the vehicle operating properly. CAN is popular throughout the manufacturing automation sector and other sectors other than automobiles such as in medical devices and industrial equipment.

CAN is a broadcast-based, low-cost, lightweight network that is designed for low-power computing devices with small message size and uses a protocol that has small network overhead. The existing CAN network fulfills the requirements for safety and reliability of a vehicle—but not for security. When modern vehicles are inevitably connected to the outside world by Wi-Fi or cellular networks, security issues arise because CAN was designed with no particular security model or architecture in mind. e simplistic design of CAN exposes various security vulnerabilities that can be exploited easily by a hacker in or near the vehicle. 

Electrical Engineering

Dr. Vahid Disfani

Research Fields:
  • Distributed Algorithms
  • Power Electronics Solutions
  • Transportation Electrification
  • Power System Stabilization
  • Distributions System Voltage Control
  • Microgrid Design

VISIT RESEARCH WEBSITE >>

Dr. Daniel Loveless

Research Fields:
  • Space Engineering and Radiation Effects

Research Award >>

Engineering Management and Technology

Dr. Erkan Kaplanoglu

Research Fields:
  • EMG Supported Pneumatic Actuated Balance Board
  • Bio-signal Controlled Biped Robot
  • Visual rehabilitation software for Mobile Devices
  • A Deep Learning Approach for Final Grasping State Determination from Motion Trajectory of A Prosthetic Hand (+Tennessee State University)
  • Wireless Hand Rehabilitation System (WHRS)
  • Development of Simulated Hippotherapy System for Cerebral Palsy Children (VR+EMG+Game) (+ Marmara University)
  • Design And Data-driven Predictive Control Of An Active Ankle-foot Orthosis
  • EMG-controlled Hand Exoskeleton for Rehabilitation
  • 24 DOF EMG Controlled Hybrid Actuated Prosthetic Hand (+Bogazici university)

VISIT RESEARCH WEBSITE >>

Dr. Serkan Varol

Research Fields:
  • Data enhancing and predictive analytics in manufacturing  
  • Analyzing healthcare data to generate useful insights
  • Predicting student retention & graduation 

VISIT RESEARCH WEBSITE >>

Dr. Khalid Tantawi

Research Fields:
  • Micro-Electro-Mechanical Systems (MEMS) for biotechnology applications
  • Investigating electrical properties of artificial membranes of biological cells
  • Mechatronics and advanced manufacturing education

VISIT RESEARCH WEBSITE >>

Mechanical Engineering

Dr. Trevor Elliott

Research Fields:

  • Additive Manufacturing
  • Automotive Engineering
  • Hydrodynamic Stability Analysis
  • Injection Driven Flows
  • Propulsion Systems

VISIT RESEARCH WEBSITE >>

Dr. Hamdy Ibrahim

Research Fields:
  • Materials science and engineering with a major focus on processing and characterizations of biomaterials for a wide range of applications including biomedical devices
  • Biodegradable composites
  • Biodegradable metals (magnesium)
  • Shape memory alloys (nitinol)
  • Additive manufacturing
  • Surface treatments
  • Corrosion behavior of biomaterials.

College of Engineering and Computer Science

College of Engineering and Computer Science