Internet of Things (IoT) and intelligent factory transformation; Price recommendation and optimization using machine learning models; Image search engines and semantic segmentation; Applications of artificial intelligence in business; and Biomedical signal processing for healthcare applications
Multiphase thermal transport phenomena, acoustic wave bio and chemical sensors and actuators, thermal management of fibers and films, thermal energy storage materials and processing, microchannel cooling systems, nanoimprinting process and applications, MEMS/NEMS fabrication, microfluidics and bioMEMS; nanoscale magnetic assembly and applications
New magnetic and magnetoelectric materials and device physics; integrated magnetic, ferroelectric and multiferroic materials and microsystems for sensing, memory, power, RF and microwave electronics; novel electrochemical sensors for sensing different pathogens and biomarkers for the diagnosis of various diseases, including COVID-19, Alzheimer’s disease, lung cancer, drug abuse, diabetes, etc.
Sensor Devices and Smart Sensor Systems realized through interdisciplinary field of microelectromechanical systems (MEMS); including the design, optimization, fabrication, testing, and networking of such transducers; fabrication of novel micro and nano-sensors and actuators by integrating non-traditional materials using silicon planar microfabrication techniques and exploring phenomenon at the micro-nano interfaces; development of sustainable sensing solutions for biomedical applications including investigation of robust magnetic technologies for interfacing to the brain
Experimental and numerical research in gas turbine cooling technology, solar and wind energy, non-newtonian liquid droplet interactions with hydrophobic surfaces, nano-sensors
Drug delivery and targeting; Drug carriers; Pharmaceutical biotechnology; Experimental cancer immunology; Nanomedicine; Pharmaceutical carriers; Liposomes and micelles
applied machine learning for damage assessment in civil structures; multi-domain transfer learning; performance and structural assessment of offshore wind structures
Computational techniques that span multiple scales, atomic- to continuum, to quantify the structure property relations in established and emerging material systems, both in technology and nature