Water and wastewater treatment: biological, physical, and chemical treatment processes
Indirect potable reuse (IPR) and direct potable reuse (DPR): Water quality, public health, and public perception
Advanced oxidation processes (AOPs): Ozone, ozone/H2O2, UV/H2O2, TiO2 photocatalysis
Trace organic contaminants (TOrCs), including pharmaceuticals and endocrine disrupting compounds
Environmental microbiology (disinfection and methods): Bacteria, viruses, and protozoan parasites
Erick R. Bandala, Assistant Research Professor for Advanced Water Technologies at the Desert Research Institute in Las Vegas, NV. Dr. Bandala holds PhD degree in Engineering, a Master degree in Organic Chemistry and a B.S. degree in Chemical Engineering. Before his current position, he was faculty member of the department of Civil and Environmental Engineering at Universidad de Las Americas Puebla (2007-2013) and the Department of Chemical, Food and Environmental Engineering (2013 to 2015) and titular researcher (1993-2007) at the Mexican Institute of Water Technology (belonging to the Ministry of Environment Mexico) in Morelos, Mexico. Dr. Bandala has taught graduate and undergraduate courses covering fundamentals and applications of environmental sciences and engineering with particular emphasis in water treatment processes for disinfection and decontamination, soil treatment and its application for site restoration. Dr. Bandala has been the recipient of several prestigious awards, Visiting Professor at the Department of Technology and Environmental Design at Appalachian State University (2014), the UDLAP Outstanding Teaching Award 2013, the Puebla State 2012 Science and Technology Award, Professional Hydrologist (Water Quality) by the American Institute of Hydrology, the Rice International Visiting Fellow on Energy, the Environment and Sustainability 2008-2009, National Researcher (Level II) on the National Council of Science and Technology-Mexico (2004-present), visiting Professor at the School of Civil and Agricultural Engineering. Universidad de Concepción, Chile 2004 and 2008 and Invited Researcher at the Plataforma Solar de Almería, Spain (2000). He has research interests in several different topics related with Environmental Engineering including A) Mechanistic aspects of the use and application of solar driven advanced oxidation processes (AOPs) for environmental restoration B) Development of advanced water and soil treatment for site restoration C) Synthesis, characterization and application of nanomaterials for Indoor Farming systems D) Development of Climate Change adaptation methodologies for water security. As result of his research activities, Dr. Bandala is author or co-author of over 100 international publication including 68 peer-reviewed papers in international journals with high impact index (average impact factor 2.7, >1490 citations, h-index 22); 5 books, 25 book chapters and 65 works published in proceedings of international conferences.
MER Lab focuses on the design, engineering, research, development and characterization of materials for electrochemical applications in sustainable energy generation and environmental protection. Our focus is on understanding electron transfer processes using spectroscopic techniques (including synchrotron-based techniques), and applying that knowledge to solve interdisciplinary materials and engineering problems. Electrochemistry and spectroscopy can be used to obtain complementary information; electrochemistry assesses the nature and kinetics of an electron transfer reaction and spectroscopy, often used simultaneously with electrochemistry in our research, provides chemical and molecular information of the same reaction. Our research is primarily in the area of materials for energy.
Dr Kuang is currently the Lincy Endowed Assistant Professor and American Board Radiology board certified therapeutic medical physicist in the CAMPEP accredited Medical Physics Program at the University of Nevada, Las Vegas (UNLV). He obtained his Ph.D. in Biomedical Engineering from Case Western Reserve University in 2009 and completed my medical physics postdoctoral training at the University of Michigan in 2010 and Stanford University in 2012. His clinical emphasis is on the routine external beam radiotherapy physics practice and SBRT techniques. His research focuses on the development and clinical integration of novel medical imaging devices with medical linear accelerator and proton therapy device; real-time image guided and adaptive radiation therapy; combining biological- and imaging- biomarkers for early detection of cancers and cancer Interventions; nanotechnology and its application in imaging and therapeutics; molecular imaging for radiation biology and clinical applications.
research in computationally efficient intelligent systems. The lab combines computer vision, machine learning, and pattern recognition to develop “real” solutions. Intelligent systems are those that are able to observe the world, learn from these observations, and understand the environment. The real-time systems are designed to operate continuously and robustly through all operating modes.
Research areas of interest include traffic monitoring and pedestrian safety, activity analysis and assessment, visual object recognition, self-driving cars.
David Feil-Seifer is an Assistant Professor in Computer Science at the University of Nevada, Reno. His primary research interests are Socially Assistive Robotics (SAR) and User Interface design for Unmanned Autonomous Systems (UAS-UI). His research is motivated by the potential for SAR to address health-care crises that stem from a lack of qualified care professionals for an ever-growing population in need of personalized care as well as the uses for aerial robots for disaster mitigation.
Dr. Mei Yang received her Ph. D. in Computer Science from the University of Texas at Dallas in Aug. 2003. She was an assistant professor in the Department of Computer Science at Columbus State University (CSU), GA before she joined UNLV as an assistant professor in the Department of Electrical and Computer Engineering (ECE) in Aug. 2004. At UNLV, she was tenured and promoted to associate professor in Jul. 2010. Her research interests include computer architectures, embedded systems, and networking. In these areas, she has published over 98 journal and conference papers with the total citation over 195. At UNLV, she has received seven research grants, from NSF, UNLV FOA/SPGRA/ARI/NIA, all as PI, with total fund over $1M. Together with other faculty, she has received three teaching grants, from NSF, NASA and Microsoft Research, with total fund over $240K. Dr. Yang also holds two US patents in router design. She has supervised two ongoing Ph. D. students, four graduated master students and three graduated visiting Ph. D. students in their thesis and dissertation work.
Dr. Jiang is a Professor of Electrical and Computer Engineering at the University of Nevada, Las Vegas. His research interests are algorithms, VLSI architectures, and circuit level techniques for the design of DSP, networking, telecommunications, and biomedical systems; computer architectures; biomedical signal processing, instrumentation, and medical informatics; BioMEMS/BioNEMS; wireless communications and security; nuclear sensors and real time, portable analytical instrument development; and renewable energy.
High Performance Computation and Visualization Lab Founded in 1996, the High Performance Computation and Visualization Laboratory performs research in the areas of bioinformatics, parallel computing, graphics, and the use of virtual reality to solve real-world problems. Our researchers consists primarily of graduate students and alumni of the University of Nevada, Reno who are actively developing improved ways to interface with and use existing virtual reality hardware and refining virtual reality application development. Brain Computation Lab Founded in 2001, the brain lab is a joint research center between the departments of Computer Science & Engineering, Medicine, Physiology & Cell Biology, and the program of Biomedical Engineering. It also has neurobiological collaborations with the Brain Mind Institute at the EPFL (Switzerland), the University of Cergy Pontoise (France), and the University of Bonn (Germany).
Our researchers consists primarily of undergraduate/graduate students and alumni of the University of Nevada, Reno. They are actively developing computational innovations to understand the physiological processes that give rise to neocortical memory, learning, and cognition. Our models and experiments help understand brain pathophysiology and create brain-like artificial intelligence and neural prosthetic devices.
Hanif Livani is Assistant Professor at the University of Nevada, Reno with affiliation in the Department of Electrical and Biomedical Engineering specializing in power system engineering. He received the BS and the MS degree in electrical engineering, both from the University of Mazandaran, Iran and the Ph.D. degree in electrical engineering from the Virginia Polytechnic and State university (Virginia Tech). He joined the faculty of the University of Nevada, Reno in Fall 2014.