Visual Cortex On Silicon

Visual Cortex On SiliconAn NSF Expedition in Computing


The Team

Team Members

Post-Docs

Benjamin

Benjamin Hanrahan

Penn State
Benjamin Hanrahan received his Ph.D. in Computer Science with a specialization in Human-Computer Interaction from Virginia Tech in 2014. His dissertation focused on the personal information practices of users of email, particularly how users wound up getting lost in email and spending more time than they intended. From 2012-2015 Benjamin was a Research Scientist in the Work Practice Technologies group at Xerox Research Centre Europe (XRCE). At XRCE Benjamin lead several projects related to better supporting the work practices of various groups of workers. In 2015 he joined Penn State University as a post-doc with John M. Carroll.
Bonev

Boyan Bonev

UCLA
Boyan Bonev received a Ph.D. in Computer Science in 2010 from the University of Alicante, Spain, where he has been lecturer in the Economics Department and researcher in the Computer Science and Artificial Intelligence Department. His research has been in the context of Mobile Robotics, Computer Vision and Natural Language Processing. Currently, he is a postdoctoral researcher in Prof. Alan Yuille's group in the Statistics Department, UCLA, working on image segmentation and object recognition.
Grant

Grant Mulliken

MIT
Grant Mulliken studies the neurobiological underpinnings of visual attention and sensorimotor integration. His postdoctoral research focuses on analyzing and modeling large multi-neuron data sets with an aim to uncover coding principles used by the visual system. For his doctoral research, he developed decoding algorithms for brain-machine interfaces. Mulliken obtained a Ph.D. in Computation and Neural Systems at the California Institute of Technology with thesis advisor Richard Andersen. He is currently a postdoctoral fellow at the McGovern Institute for Brain Research at the Massachusetts Institute of Technology with Bob Desimone.
Neftci

Emre Neftci

UCSD
Dr. Emre Neftci received his degree in Physics at the École Polytechnique de Lausanne (EPFL) and his Ph.D. in Neuroinformatics at the Institute of Neuroinformatics, UZH and ETHZ. His thesis focused on theoretical, computational, and modeling of neural systems, that best exploit the properties of neuromorphic spiking neural networks, and systematic methods for mapping these models onto the hardware. During his at post-doc at the Institute of Neuroinformatics and working on the development of a methodology enabling the systematic configuration of state-dependent behavior in multi-chip neuromorphic systems. In July 2012, Dr. Neftci joined the Institute of Neural Computation (INC), UCSD as a post-doctoral fellow to investigate models for probabilistic state-dependent sensorimotor processing in large-scale multi-neuron systems.
Engel

Jesse Engel

Stanford
Jesse Engel received a B.A. in Physics from the University of California Berkeley in 2006. In 2013, he received his Ph.D in Materials Science and Engineering from the University of California Berkeley in the laboratory of Paul Alivisatos, where he studied the controlled doping of semiconductor nanocrystals. He is currently a joint postdoc at Stanford and U.C. Berkeley, studying neuromorphic engineering with professors H.-S. Phillip Wong and Bruno Olshausen.He is currently interested in matching the rich statistical behavior of emerging nonvolatile memory technologies with statistical machine learning and neural network models to provide high capacity and robust information storage and retrieval.
Tina

Tina (Chien Wen) Yuan

Penn State
Tina Yuan received her Ph.D. in Communication from Cornell University in the lab of Susan R. Fussell in 2015, where she studied multilingual communication and social media use using both qualitative and quantitative methods. Her dissertation investigated the influence of multiple social network site use on social capital development and sociocultural adaptation. At Cornell, she also worked with researchers from Information Science on projects that looked at how to better support social interaction among acquaintances in different contexts using mobile technology. In 2015, she joined the Penn State University as a post-doc with John M. Carroll and Mary Beth Rosson, working on projects in the areas of human-computer interaction, assistive technology, and community informatics.

Students

Ororbia

Alexander Ororbia

Penn State
Alexander G. Ororbia II received his B.S. in Computer Science & Engineering at Bucknell University, with minors in Mathematics and Philosophy. Co-advised by Dr. C. Lee Giles and Dr. David Reitter, he is currently a Ph.D. graduate candidate of Information Sciences and Technology at the Pennsylvania State University and member of both the Intelligent Systems and Applied Cognitive Science laboratories. His research interests include linguistics, statistical learning and inference, and complex adaptive system models. His current research focuses on developing connectionist architectures capable of deep learning from large-scale image and text-based data.
Seel

Andrew Seel

University of Pittsburgh
Andrew Seel received his B.S. in Electrical Engineering and B.S. in Physics from the University of Pittsburgh in 2014. He has worked under Dr. Levitan since Fall 2013. He will be attending the Technische Universität München for a Masters in Satellite Engineering starting in Fall 2014.
Lin

Bing-Rong Lin

Penn State
Bing-Rong Lin is a Ph.D. candidate at Machine Learning Lab of Computer Science and Engineering at the Pennsylvania State University. His research interests include data privacy, machine learning, database and networking.
Jennings

Brandon Jennings

University of Pittsburgh
Brandon Jennings graduated from the University of Maryland, Baltimore County in 2013 with a bachelor’s degree in computer engineering. He is now a graduate student studying in the computer engineering department at the University of Pittsburgh, researching image-processing architectures based on nano-oscillators in Dr. Steven P. Levitan’s lab.
Thomas

Christopher Thomas

University of Pittsburgh
Christopher Thomas is a second year Ph.D. student in the Department of Computer Science at the University of Pittsburgh. His past research has focused on methods for performing automatic observational medical analysis from brain imaging data. He is currently investigating biologically inspired saliency analysis algorithms. His research interests are in the areas of artificial intelligence and machine vision.
Dafang

Dafang He

Penn State
Dafang He is currently a first year Ph.D. student in the College of Information Science and Technology, Penn State University. He graduated from Tsinghua University, China with a Bachelor degree in automation. Now he is working with Professor Lee Giles on image and video indexing & searching project.
Xia

Fangting Xia

UCLA
Fangting Xia is a graduate student in Department of Statistics, UCLA. She has been a research assistant in UCLA Center for Cognition, Vision, and Learning since 2011, supervised by Prof. Alan L. Yuille. She received her BEng degree in Computer Science from University of Science & Technology of China in 2011, with some research and engineering experience on logic reasoning and robotic vision. Currently, her research interest lies in statistical modeling of articulated objects, human pose estimation and action understanding.
Madan

Himanshu Madan

Penn State
Himanshu Madan is a Ph.D. student at Nanoscale Device and Circuit Laboratory with Electrical Engineering at the Pennsylvania State University. His research interests include high frequency characterization of emerging device and understanding the scaling and frequency limitation of transition metal oxide.
Tanner

James Tanner

USC
James Tanner is currently working on his Ph.D. in computer science at the University of Southern California with Laurent Itti. His interests include computational neuroscience, top-down attention, neural networks, computer vision, and machine learning.
Windau

Jens Windau

USC
Jens Windau is a CS Ph.D. student at the University of Southern California working with Laurent Itti. His research interests include robotics with focus on wearable sensor systems, data fusion, machine learning, and classification.
Cho

Jongkil Park

UCSD
Jongkil Park received the B.S. degree in electical engineering from the Korea University, Seoul, Korea in 2007 and the M.S. degree in electrical and computer engineering from University of California, San Diego, La Jolla, CA, in 2010. He is currently working towards the Ph.D. degree in electrical and computer engineering at UCSD. His research interests lies in mixed-signal VLSI design for neuromorphic vision application.
Mao

 

Junhua Mao

UCLA
Junhua Mao is currently a PhD student in computer vision at UCLA. His research interest are appearance modeling, object detection and pose estimation. He received the B.E. degree with honors from University of Science and Technology of China.
Jerry

 

Matthew Jerry

Penn State
Matthew Jerry is a Ph.D. student at Nanoscale Device and Circuit Laboratory in the Electrical Engineering Department at the Pennsylvania State University. His research interests include emerging correlated oxide devices and understanding the scaling and frequency limitation associated the switching and oscillatory dynamics.
Nachi

Nachiappan Chidambaram N.

Penn State
Nachiappan Chidambaram received his B.E. degree in Computer Science and Engineering (CSE) from Anna University, India in 2010 and was a part of Waran Research Foundation, Chennai, India. He is currently doing his Ph.D. under the supervision of Prof. Chita R. Das and Prof. Mahmut Kandemir in PennState CSE department. His research spans the areas on platform-level SoC power/performance optimizations and heterogeneous computer architectures.
Cho

Nam-Gyu Cho

UCLA
Nam-Gyu Cho received the B.S. degree in Information and Communication Engineering from University of Incheon, Incheon, Korea and M.S. degree in Computer Science and Engineering from Korea University, Seoul, Korea, in 2009 and 2011, respectively. He is currently a Ph.D. candidate in the Department of Brain and Cognitive Engineering in Korea University and visiting graduate student at the Department of Statistics in University of California, Los Angeles. His research interests include computer vision, machine learning, and computational models of vision.
Nandhini

Nandhini Chandramoorthy

Penn State
Nandhini Chandramoorthy completed her B.E in Electronics & Communication Engineering from Anna University, Chennai, India. She is currently a Ph.D. student at the Microsystems Design Lab with Dr. Vijay Narayanan. Her research interests include design of heterogeneous platforms with performance and energy optimizations, shared memory design for heterogeneous processing elements and accelerator design for domain-specific platforms.
Natalie

Natalie Janosik

University of Pittsburgh
Natalie Janosik is working towards her undergraduate degree in Electrical Engineering. She has been performing undergraduate research since the summer of 2013. She spent the 2013-2014 school year working for the ECE IT department. She participated in the 2014 Cornell Cup competition and received a Mascaro Center for Sustainable Innovation’s scholarship for summer research exploring sustainability in engineering. She will continue her work with Dr. Levitan by exploring non-Boolean computer research in the realm of sustainability.
Barnett

 

Reggie Barnett

University of Pittsburgh

Reggie Barnett is a senior Computer Engineer at the University of Pittsburgh expected to graduate in 2015. He is working on a project to benchmark computer vision algorithms.

Sagnik

Sagnik Ray Choudhury

Penn State
Sagnik Ray Choudhury is a 4th year Ph.D. working with Prof. C. Lee Giles in the College of Information Sciences and Technology. He is now working on text recognition/ data extraction in computer generated charts. He also works in text recognition in natural images.
Grant

Shane Grant

USC
Shane Grant is a Ph.D. student studying computer science at the University of Southern California. His advisor is Laurent Itti. His research interests are vision, robotics, and navigation. He is interested in the intersection of computer vision and human vision, especially in regards to how humans perceive space. His current work is focused on using top down information to improve the performance of neural networks in ambiguous situations.
Siddharth

 

Siddharth Advani

Penn State

Siddharth Advani received his B.E. degree in Electronics Engineering from Pune University, India and received his M.S. degree in Electrical Engineering from Penn State. He is currently pursuing his Ph.D. in the Department of Computer Science and Engineering under Dr. Vijay Narayanan at the Microsystems Design Lab. His research interests are computer vision, computer architecture and hardware-software codesign of embedded systems.

SiddharthJ

 

Siddharth Joshi

UCSD

Siddharth Joshi received his B.Tech. degree from Dhirubhai Ambani Institute of Information and Technology (DA-IICT), India and received his M.S. degree in Electrical Engineering from Univeristy of California, San Diego. He is currently pursuing his Ph.D. in the Department of Electrical and Computer Engineering at UCSD. His research explores algorithms and hardware enabling online learning algorithms under tight resource constraints with a focus on neuromorphic implementations.

Sooyeon

 

Sooyeon Lee

Penn State

Sooyeon received her B.S. degree in Information Sciences and Technology from the Pennsylvania State University. She is currently pursuing a Ph.D. in the department of Information Sciences and Technology working with Professor Jack Carroll, and Professor Mary Beth Rosson. Her research interests are in the areas of Human Computer Interaction for assistive technologies and community informatics.

Sukru

 

Sukru Burc Eryilmaz

Stanford University

Sukru Burc Eryilmaz is a Ph.D. candidate in the Department of Electrical Engineering at Stanford University. He received B.S degree in 2011 from Bilkent University, Turkey; and M.S degree from Stanford University in 2013, both in Electrical Engineering. S. Burc Eryilmaz worked at Micron technology during 2013 summer in emerging nonvolatile memory modeling. His research interests include brain inspired computing using nanoscale devices and nonvolatile memory fabrication, characterization and modeling.

Wenyi

 

Wenyi Huang

Penn State

Wenyi Huang is a 4th year Ph.D. working with Prof. C. Lee Giles in the College of Information Sciences and Technology. He is now working on deep learning architectures for text recognition in videos and also exploring indexing and retrieving techniques for video search.

Yang

 

Xiao Yang

Penn State

Xiao Yang is a Ph.D candidate in the Department of Computer Science and Engineering at Penn State University, under the direction of Prof. C. Lee Giles and Prof. Daniel Kifer. He received his B.S. degree in 2014 from Tsinghua University, China. He is now focusing on machine learning and computer vision technology for text recognition.

Yan

 

Yan Fang

University of Pittsburgh

Yan Fang received his B.S. degree in Electrical Engineering from Xidian University (China) in 2010 and received his M.S. degree in Electrical Engineering from University of Pittsburgh in 2013. He is currently working with Dr. Steven P. Levitan and pursuing his Ph.D. in the Department of Electrical and Computer Engineering at University of Pittsburgh. His research interests are unconventional computer architecture, neural computing, application on vision and learning.

Yang

 

Yang Xiao

Penn State

Yang Xiao received his B.E. degree in Electrical Engineering from Huazhong University(China) in 2005 and received his M.S. degree in Electrical and Computer Engineering from North Carolina State Univeristy in 2008. Currently, he is doing his Ph.D. in Prof. Vijaykrishnan Narayanan group in PSU. His research focuses on Bio-inspired accelerators design and the related architecture optimization in power/performance aspects.

 

Tanabe

 

Yasuki Tanabe

Toshiba

Yasuki Tanabe received his B.E., M.S., and Ph.D. degree in computer science in 2002, 2004 and 2007 respectively all from Keio university in Japan. He joined Toshiba Semiconductor and Storage Company in 2007 and designed a SIMD/VLIW processor for image processing and accelerators for image recognition and image signal processing. He is currently a visiting research scholar at the Microsystems Design Lab from Fall 2014. His interests are computer vision algorithms and hardware accelerator architecture/implementation.