Affiliated Faculty

	Arbab, M. Hassan Assistant Professor hassan.arbab@stonybrook.edu Terahertz emission, detection and imaging technologies and their applications in biophotonics, medical imaging, non-destructive testing, material characterization and stand-off detection of chemicals
	DeLorenzo, Christine Associate Professor Christine.DeLorenzo@sbumed.org Biomarkers of Major Depressive Disorder, Antidepressant Treatment Response Prediction, Multimodal Brain Imaging, and PET Radioligands
	Goldan, Amir H. Assistant Professor amirhossein.goldan@stonybrookmedicine.edu X-Ray and PET Imaging, Digital Radiological Imaging Detectors, Single Photon Counting for Medical Imaging, Detector Modeling, Fabrication, Characterization and Instrumentation, Avalanche Amorphous Selenium Detectors, Quantum Mechanical Modeling of Charge Transport, Noise-Free Avalanche Detectors
	Liang, Jerome Professor Jerome.Liang@sunysb.edu Low-dose computed tomography image reconstruction, Quantitative image reconstruction for single photon emission computed tomography, High resolution positron emission tompgraphy image reconstruction, Segmentation of tissue mixtures from multi-spectral images, Computer aided detection of abnormality and diagnosis on the detected abnormality, Development of virtual colonoscopy systems
	Misewich, James Professor jim.misewich@stonybrook.edu
	Mofakham, Sima Assistant Professor Sima.mofakham@stonybrookmedicine.edu Trained as a computational neuroscientist, her laboratory focus is on developing a computational framework to understand the dynamical system that underlies coma and consciousness. Her laboratory will use this new framework to ultimately advance the current neuromodulatory therapeutic approaches for the recovery of consciousness.
	Park, Memming Assistant Professor memming.park@stonybrook.edu Memming Park designs statistical models and machine learning methods specialized for analyzing neural time series. He aims to understand how information and computations are represented and implemented in the brain, both at a single-neuron and at the systems level. His group collaborates with several experimental labs on important problems in neuroscience, such as sensory coding, recovery from coma, and perceptual decision-making.
	Sunar, Ulas SUNY Empire Innovation Associate Professor ulas.sunar@stonybrook.edu The development and applications of quantitative optical imaging tools for neuroimaging and cancer imaging in preclinical and clinical settings