Fellowship Alumni

Alfred E. Mann Innovation in Engineering Doctoral Fellowships

Matthew Black

Matthew Black received his PhD in Electrical Engineering at the USC Viterbi School of Engineering. Matt’s thesis under Professor Shri Narayanan was on the development of a quantitative, automated framework that emulated human observational processes to describe subjective human judgments made on speech signals. It concentrated on real-world problems with societal significance: children’s literacy, marital therapy, and autism. This pioneering work represented a major step toward a shift in engineering from modeling and recognizing objective human behaviors to quantifying subtler and abstract ones, a central theme to the emerging area of behavioral signal processing.

Dr. Black is Co-Founder and CEO of Behavioral Informatix.

Daniel Bone

Daniel Bone received his PhD in Electrical Engineering at the USC Viterbi School of Engineering. His research concerned human-centered signal processing and machine learning with an emphasis on developing engineering techniques and systems to characterize and eventually treat developmental disorders such as Autism (which has a high prevalence of 1 in 68). He worked with Dr. Shrikanth Narayanan in the interdisciplinary Signal Analysis and Interpretation Lab (SAIL) at USC.

He received Bachelor of Science degrees in Electrical Engineering and Computer Engineering from the University of Missouri-Columbia in 2009, and a Master of Science degree in Electrical Engineering from USC in 2011. He was an NSF GK-12 Body Engineering Fellow during 2012-2013.

Danny has first-authored five journal papers, nine conference papers, and one book chapter. He has led and been a part of two teams that won international engineering competitions (Interspeech 2011, 2015). His work has been featured on KPCC off-ramp, SFARI.org, and USC media.

Dr. Bone is a Postdoctoral Research Scholar in the Signal Analysis and Interpretation Laboratory at USC.

Ta-Shun Chu

Ta-Shun Chu worked on developing a miniature CMOS sensor chip to remotely detect pulse rate blood pressure and pulmonary ventilation rates of multiple individuals simultaneously. This work was done in the laboratory of Dr. Hossein Hashemi (Assistant Professor, Ming Hsieh Department of Electrical Engineering). Ta-Shun incorporated advances in radio frequency integrated circuit design that he spearheaded in Dr. Hashemi’s laboratory into his vision of a working prototype of the biometric sensor.

Professor Chu joined the Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, as an Assistant Professor.

Joyita Dutta

Joyita Dutta worked to develop a novel 3-D in vivo imaging system for fluorescence tomography. This work was done in the laboratory of Dr. Richard M. Leahy (Professor, Ming Hsieh Department of Electrical Engineering) in collaboration with Dr. Simon Cherry at the University of California, Davis. She was developing theoretical computational methods for forward modeling and image reconstruction that could improve image resolution. Her approach to developing this system was both theoretical and practical.

Professor Dutta is an Assistant Professor at the University of Massachusetts and an Instructor in Radiology at Harvard Medical School and Massachusetts General Hospital.

Erica Greene

Erica Greene developed novel statistical machine learning methods to analyze and develop predictive models of fMRI scans in Dr. Fei Sha’s (Assistant Professor, Computer Science) laboratory. The goal of the research was to reveal scalable, accurate, and robust models of functional networks in the human brain using resting state fMRI data. She applied techniques from statistical machine learning such as graphical models to improve the state-of-the-art techniques by incorporating multivariate relationships among individual voxels. Multitask learning was incorporated as a tool to improve the robustness of her model.

Ms. Greene is a Developer at The New York Times. She is currently working with the newsroom data team.

Markus Hauschild

Markus Hauschild, as a biomedical engineering graduate student in Dr. Gerald Loeb’s lab, designed and implemented real-time computational platforms for the simulation of musculoskeletal and mechanical systems in stereoscopic 3D virtual reality environments.

Markus earned his Ph.D. in Biomedical Engineering from the University of Southern California (USC) in 2010. He received his Master of Science Degree in Medical Device and Diagnostic Engineering from USC in 2006. He advanced neural prosthetics and brain-machine interfaces while at the California Institute of Technology as a graduate student and postdoctoral scientist.

Currently, Dr. Hauschild assists both corporate and institutional clients with prosecuting patents in the aerospace, automotive, electronics, medical device, and information technology industries at Osha Liang LLP.

Hsiu-Sheng Hsu

Hsiu-Sheng Hsu worked on developing a label-free microlaser sensor platform in Dr. Andrea Armani’s (Assistant Professor, Mork Family Department of Chemical Engineering and Materials Science) laboratory. The novelty in this technology was in the development of an “active” optical resonant microcavity technology. This technology’s capability characterized the structural dynamics of biomolecules, their functional implications without labeling the biomolecule in real time.

Dr. Hsu is an Engineer at Taiwan Semiconductor Manufacturing Company Limited.

Philip Kwong

Philip Kwong developed paper-based microfluidic devices for use in “lab-on-a-chip” and “point-of-care” applications. His research was conducted under the guidance of Dr. Malancha Gupta (Assistant Professor, The Mork Family Department of Chemical Engineering and Materials Science). Polymeric architectures on paper were created using the initiated chemical vapor deposition (iCVD) process with use of metal salt inhibitors to direct polymer growth.

Dr. Kwong is a Product Engineer, Productivity, Dielectric Etch at Lam Research Corporation, Fremont, CA.

Simin Mehrabani

Simin Mehrabani received her PhD in Chemical Engineering in Professor Andrea M. Armani’s research group. Her research was focused on the development of environmental monitoring optical sensors based on whispering gallery mode optical microresonators.

Dr. Mehrabani is an Air Quality Engineer at the South Coast Air Quality Management District (SCAQMD).

Alfred E. Mann Biomedical Engineering Doctoral Fellowships

Arvind Iyer

Arvind Iyer used computational models of the early visual system to characterize neural encoding schemes which could inform image enhancement and annotation approaches for visual rehabilitative technologies, at the Visual Processing Laboratory under the guidance of Professor Norberto M. Grzywacz.

Dr. Iyer is a Postdoctoral Research Associate in the Department of Psychology at the University of Pennsylvania.

Anika Joseph

Anika Joseph investigated the use of hyperspectral image processing and analysis of tissues for pathological diagnosis at Cedars-Sinai Medical Center under the supervision of Dr. Daniel Farkas (Director, Minimally Invasive Surgical Technologies Institute).

Dr. Joseph is a Global Regulatory Affairs Associate at Grifols.

Jay Mung

Jay Mung received his PhD in Biomedical Engineering. Dr. Jesse Yen was his advisor and they collaborated with Dr. Fred Weaver. His dissertation title was Ultrasound-based Localization System for Endovascular Aortic Aneurysm Repair.

Dr. Mung is in Health Technologies at Apple.