Shengjie Zhai

Dr. Shengjie (Patrick) Zhai is an Assistant Professor of Electrical and Computer Engineering at the University of Nevada, Las Vegas. His research expertise is centered around five key areas: 1) Novel nanomaterials and patterning techniques for bioelectronics, optoelectronics, and photovoltaics, 2) Plasmonic-enhanced biosensors for single-molecule biomedical analysis, 3) Micro/Nanoelectromechanical systems (MEMS/NEMS), 4) Physiological organ biomimetic systems built on microfluidic chips and multi-external driven, scaffold-free engineered human tissue models, and 5) Artificial intelligence-assisted health assessment.
His research contributions include the development of micro-engineered multichannel organ-on-a-chip devices, AI-reinforced biomimetic biosensors, and novel biomaterials for low-noise, comfortable personal health wearable monitor bioelectronics (PHWMB). Dr. Zhai has authored over 20 peer-reviewed articles published in respected journals such as Advanced Optical Materials, ACS Applied Materials & Interfaces, and IEEE COMPSAC, and holds nine patents in his field.
Among his accolades, Dr. Zhai is a recipient of two National Science Foundation Fund Awards (2021, 2019), the Nevada Governor’s Office of Economic Development Fund Award (2020), the NASA-Colgate Funding Award (2019), and a Department of Energy Research Award (2022). He has also served as an editor for the Journal of Renewable Materials and as a contributing reviewer for the Royal Society of Chemistry Advances. His academic services extend to numerous other academic journals, and he has participated as a panelist for NSF, DOE, and NASA grant review processes.

Monika Gulia-Nuss

The long-term interest of my research program is to understand the biology of disease vectors to identify novel strategies for vector control and pathogen transmission. My lab focuses on two arthropod vectors of human diseases: mosquitoes and ticks. Our research spans multiple disciplines, including ecology, biochemistry and physiology, genetics, genomics, and computational biology, to investigate questions related to arthropod biology. We employ techniques that encompass molecular, cellular, and organismal levels of studies. Since setting up my lab at UNR in 2016, the most significant research contributions of my program have been 1) pioneering an embryo injection protocol for ticks, 2) the first successful use of CRISPR/Cas9-based genome editing in ticks, 3) producing the first chromosome-level genome assembly for a tick species, and 4) adapting and optimizing a RADseq protocol (Rapture) for genome-wide markers to understand population genetic structure of mosquitoes and ticks. In addition, we have recently initiated a project for the identification of biomarkers for early diagnostics of Lyme disease.

M. Rashed Khan

Khan Lab@UNR aims to study, design, and develop soft materials, unconventional processes, and reconfigurable micro/nanodevices that can be harnessed and optimized further for advanced biochemical, biomedical, and physicochemical applications. The lab is also keen to establish a multidisciplinary smart-manufacturing research group, including researchers from various backgrounds. Through short and long-term active collaboration, Khan Lab@UNR would like to address fundamental challenges associated with soft micro-device fabrication, 3D/4D (bio)printing, and patterning, advanced hybrid sensor manufacturing, biomedical device development – which are still unnoticed and under-explored, and need further investigation.

Additionally, our group also focuses on computational neuroscience and neurobioengineering. Under this research direction, we study human brain, brain functions, brain structure so that the established knowledge can be broadly applicable to general biomecical science and knowledge of the brain and brain-diseases.