Advances in miniature sensors and wireless communications have opened the possibility for wearable, on-body sensors that remotely and continuously monitor physiological vital signs and transmit alerts to medical caregivers who can intervene in case of impending emergencies. The aim of this research is to study on-body electromagnetic wave propagations during human daily activities in order to guide the design of 3-D printed, reconfigurable, wearable antennas for unobtrusive, power-efficient, on-body wireless communications.
Deep neural networks use algorithms, big data, and the computational power of the graphics processing unit (GPU) to allow machines learn at speed, accuracy, and scale that drive artificial intelligence. Our research uses deep learning to help solve big-data problems in e-health and life science applications.
Power electronics, power systems, renewables, energy storage, fuel cells, electrical corona discharge processes (e.g., to convert waste methane into liquid fuels), variable speed drive application issues and impacts on motor insulation and bearing currents, electric vehicles, distributed generation.
We study hardware and software to implement parallel scientific computation algorithms on both traditional clusters using message passing and GPUs using CUDA. In particular we study large sparse iterative calculations, asynchronous methods of updating, transferring, calculating, and shortcutting, and entropy based methods to monitor and administer clusters.
Microbial communities in extreme environments (acidic, high temperature, etc.) grow in highly organized patterns, which we have been studying and modelling. These patterns can be used to study survivability, cooperation and there effects on diversity in refugia. The patterning is also a candidate universal bio indicator, that could be used to look for resource limited or even fossilized life on other planets. This work was part of the cover article in National Geographic Magazine in July 2014, and is in cooperation with NASA Ames.
From designing a patented precision optical dental measurement system with Loma Linda University to the design of a patent pending new surgical wires system with Baylor Scott and White doctors in Temple, our researchers and students are at the forefront of engineering better health solutions. We are working with Doctors at Baylor University Medical center in Dallas to improving the quality, affordability, and accessibility of colonoscopies, the most expensive routine procedure that is crucial in the fight against colon cancer. Our researchers and students are also working with Baylor Scott and White Doctors in Temple on improving brain health after cardiac surgery, fighting glioblastoma, and improving walkers for patients with mobility issues.
Microfluidic devices characterized by micron-scale channels have been received much attention in these days for various applications. The team at Baylor has an expertise to fabricate microfluidic devices using Polydimethylsiloxane (PDMS) and 3-D printing. Currently, the team is working on developing a micro injection device to study transfection of mosquito embryos.
Antimonide-based semiconductor materials are being employed for mid-infrared semiconductor laser development, with extensive applications in medicine (breath analysis, glucose monitoring) and defense (chemical sensing, infrared countermeasures). These materials are designed to emit efficiently in the 3–5 micrometer wavelength range, a region that is eye safe and in which chemical sensitivities are 100–10,000 times better than at shorter wavelengths. The most recent work has been with graphene—a two-dimensional hexagonal arrangement of carbon atoms that has very high thermal, electrical, and optical conductivity—to integrate these layers on gallium antimonide semiconductor surfaces, not only to study materials properties, but to improve device performance. Graphene-semiconductor interfaces are of fundamental interest for optoelectronic device development.
This research focuses on theory and modeling related to THz-speed, energy-efficient computational molecules known as molecular quantum-dot cellular automata (QCA). Studies include the treatment of power dissipation, electron transfer, and environmental interaction. Also, we are considering the role quantum mechanics may play in olfaction (the sense of smell).
Nanophotonic circuits based on surface plasmons have experienced rapid development with tighter confinement and more complex functionalities. The integration of plasmonic elements with electrical counterparts remains challenging. The two-dimensional (2D) materials display great potential for a range of applications, including electronic-photonic integrated circuits.
Early diagnosis of diseases such as cancers, cardiovascular, and infectious diseases is the key to improve survival rates of patients and lower the cost to treat them. Developing portable and low-cost biosensors which can be used near the patients is extremely important. The team at Baylor is currently working on developing point-of-care biosensors using optical and electrical detection methods.
Power systems, power plant control, smart grids, distributed generation with renewable energy and fuel cells, artificial intelligence, intelligent control using modern heuristic optimization techniques (such as neural networks, fuzzy logic, genetic algorithm, evolutionary computation), multi-agent systems, and their applications to power and energy systems.
Protons and other ions have many advantages to treat cancer and perform radio surgery, such as high dose conformity and the Bragg peak. Improved, adaptive treatment planning, precision localization and robotic patient alignment are a few key technologies we have and continue to work on as part of NAPTA (North American Particle Therapy Aliance) and the. Protons or ions can also be used to reconstruct three dimensional images of regions of the body similar in look to x-ray CT images, but at around 1/10th the radiation dose. The resulting images have improved information necessary for treatment planning in ion therapy. Our research team has been central in developing pCT as part of the pCT collaboration with Loma Linda University and UC Santa Cruz, and in collaboration with researchers at University of Haifa, University of Wollongong, Ludwig-Maximilians University in Munich, Northern Illinois University, and UCLA.
The emerging technology of chalcogenide glass fiber devices promises to transform mid-IR sensor technologies. The research on specialty optical fibers for mid-IR applications includes mid-IR supercontinuum generation, chalcogenide glass mid-IR fiber lasers, and hollow-core chalcogenide negative curvature fibers.
The Internet of Things (IoT) allows users to gather data from the physical environment. New information and communication technology makes the IoT scalable and reliable to support the emerging demand for smart cities, active health, and connected cars. Our research focuses on energy-efficient communications and networking, device energy harvesting, and security and trustworthiness of the IoT.