Area of research
Artificial Intelligence · Signal Processing
Research interest
Research interests include Adversarial Robustness in Machine Learning, Advanced Malware Detection Techniques, Analytical chemistry methods development, and Anomaly Detection Techniques and Applications.
ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
Ultrasensitive fluorescent probe for copper ion based on cadmium selenide/cadmium sulfide quantum dots capped with dimercaprol
MalPat: Mining Patterns of Malicious and Benign Android Apps via Permission-Related APIs
Dithizone functionalized CdSe/CdS quantum dots as turn-on fluorescent probe for ultrasensitive detection of lead ion
Layer-by-layer self-assembly xylenol orange functionalized CdSe/CdS quantum dots as a turn-on fluorescence lead ion sensor
Determination of silver ion based on the redshift of emission wavelength of quantum dots functionalized with rhodanine