Faculty and researchers

Associate Professor
David received the Ph.D. in Computer Science from Cornell University in 2008 and the M.S. and B.S. degrees in Computer Science and Engineering from Penn State in 2001. He was a Postdoctoral Associate at Cornell from 2008-2010, and as a Research Scientist at Eastman Kodak Company from 2001-2003. His main research interests are in computer vision, applied machine learning, probabilistic graphical models, and data mining.
Postdoctoral Research Associate
Sven received a B.Eng. degree with a focus in media and imaging technology from Cologne University of Applied Sciences in Germany (2010). He came to Indiana in 2011 and received his M.S. in computer science in 2013 and PhD in both Computer Science and Cognitive Science 2016. His main research interest is in understanding egocentric video, from both technical and human perspectives.

Current Ph.D. Students

Zhenhua Chen
Ph.D. Student, Computer Science
Zhenhua received his B.E. in Computer Engineering from Northeastern University (China) in 2012, and started to pursue his Ph.D. in Computer Science in 2015. Before he joined IU, he also worked as a software engineer in HappyElements (Beijing) for two years and as an assistant researcher in NLPR (National Laboratory of Pattern Recognition, Beijing) for one year. His current research focuses on object detection.
Ph.D. Student, Computer Science
Bardia is a PhD student of Computer Science in IU where he also received his second MS. Back in Iran, he received a BS in Pure Mathematics and an MS in Computer Science both from University of Tehran. His research is focused on applying deep learning to culture analytics problems. His PhD minor is in Music Informatics and he is interested in interdisciplinary work of vision and music.
Ph.D. Candidate, Computer Science
Chenyou received his M.S. in Computer Science in 2014 from Indiana University and his B.S. in Computer Science from Nanjing University, China. He is currently pursuing his PhD in Computer Science with a Statistics minor and his primary research interest is image-sentence generation with deep learning methods.
Ph.D. Student, Computer Science
Eman is a PhD student in the school of Informatics Computing and Engineering, Indiana University, USA. Her undergrad was in Electrical and Computer Engineering, School of Engineering, Ain Shams University, Cairo, Egypt. Her main interest is to acquire new knowledge and employ it to create something interesting and new. She is also working towards acquiring a master degree in Mathematics.
Ph.D. Candidate, Informatics
Jangwon is a PhD candidate in the Intelligent and Interactive Systems track of Informatics. He was a software engineer at Samsung Electronics before coming to IU. He received his B.S. in Information and Communication Engineering from Sungkyunkwan University (SKKU) in 2006 and his M.S in Electrical and Computer Engineering from SKKU in 2008. His broad research interests are Human-Robot Interaction and computer vision for robotics.
Ph.D. Student, Informatics
Satoshi Tsutsui is a Ph.D. student at Indiana University. He is interested in computer vision and deep learning (broadly defined). He has worked on scientific figure mining, multi-language image captioning, object detection, and semantic segmentation. Check out his publications on his website.
Ph.D. Student, Computer Science
Jingya received her B.E. from Nankai University in 2009 and her M.S. in Computer Science from IU in 2011. Now she is pursuing her Ph.D in the Computer Science program. Her research interests are computer vision and social media data mining. More specifically, her passion is to find insights in images with object recognition and scene classification techniques.
Ph.D. Candidate, Computer Science
Mingze received his M.S. in Computer Science from Indiana University (2014) and his B.E. in Software Engineering from Jilin University (2012). He is currently pursuing his Ph.D. in Computer Science with a Statistics minor. His primary research interest is in applying deep neural networks to recognition tasks in videos. He is also working on understanding large-scale data from Polar Science, such as 3D object segmentation and reconstruction from sequential tomograms.
Zehua Zhang
Ph.D. Student, Computer Science
Zehua received his B.E. in Automation from Xi’an Jiaotong University in 2015 and came to IU to pursue his Ph.D. in Computer Science in 2016. As an undergraduate, he mainly focused on object tracking and applying machine learning and computer vision techniques to improving web security. Now he is interested in object recognition and generative adversial networks.​

Current M.S. Students

Benjamin Cutilli
M.S. Student, Computer Science
Ben graduated from Haverford College with a Bachelor of Science degree in computer science. He is a master’s student at Indiana University Bloomington focusing on computer vision. He worked for NVIDIA as a Solutions Architect intern in the summer of 2017, focusing on style transfer using deep learning. In his free time he runs, skis, and follows his unrealistic dream of becoming good at Counter-Strike: Global Offensive.
M.S. Student, Computer Science
Ramya is pursuing M.S. in Computer Science in Indiana University. She was a software engineer at Accenture Services Private limited before coming to Indiana University. She received her B.E. in Electronics and Communications Engineering from Visveswaraya Technological University in 2012.

Current Undergraduates

Abraham Oliver
Undergrad, class of 2022
Abe is currently a senior at Brown County High School and hopes to study computer science and mathematics as an undergraduate. Although he is relatively new to the field, his research interests include reinforcement learning, data visualization, and the mathematical foundations of machine learning. His long-range goal is to study quantum computing and quantum algorithms.
Zunaeed Salahuddin
Undergrad, class of 2021
Zunaeed is an aspiring Computer Science major, who is interning at the Computer Vision Lab in order to fulfill his Cox Scholarship work component, while simultaneously familiarizing himself with high-level CS topics.

Ph.D. Student Alumni

Ph.D., 2014
Kun’s work has studied Conditional Random Field Models for Structured Visual Object Recognition, presenting novel CRF-based solutions for three computer vision applications: human pose recognition, large-scale multimodal image clustering, and local attribute discovery for object recognition. He received his PhD in August 2014 and worked as a Computer Scientist at GE before joining Snap in 2016.
Ph.D., 2017
Jeff’s research is in planning and decision making in multi-agent robotic systems. His thesis developed a general framework to efficiently compute navigation solutions in partially observable systems. He has since worked to integrate the framework tightly with computer vision to enable robust, camera-based navigation. He received his PhD in September 2017 and since 2012 has worked as a robotics and software engineer at major automotive and Silicon Valley companies.
Ph.D., 2015
Mohammed’s PhD research studied large scale textual and visual mining in social media under the supervision of Prof. David Crandall. His other research interests include Machine Learning, Computer Vision, Text Mining, Web Mining, and Soft computing. He received his PhD in June 2015 and is now a Data Scientist at CareerBuilder, Inc.
Ph.D., 2016
Stefan received his B.S. in Computer Science from the University of West Florida in 2011, his M.S. in Computer Science in 2013 from Indiana University, and his Ph.D. from IU in 2016. His thesis research was primarily focused on uncertainty in large-scale weakly labeled vision problems and inference in probabilistic graphical models. He is now a Postdoc at Georgia Tech, working on theory and applications of deep learning in computer vision.
Ali Varamesh
M.S., 2016
Ali received his B.S. in Software Engineering and M.S. in Information Technology from Amirkabir University of Technology (Iran). He joined IU in 2014, where his research focused on detecting objects and activities using deep neural networks, improving reliability and interpretability of deep models by understanding adversarial attacks, and studying mental health with social media. In January 2018, Ali transferred to KU Leuven (Belgium) as a Ph.D. student in Engineering Science.
Ph.D., 2014
Haipeng’s work has studied how to use online and mobile data to estimate properties of and find connections in the physical world, demonstrated with applications to predicting consumer behavior, ecological events, mobile user properties, and concept relationships. He received his PhD in August 2014 and is now working as a Research Scientist at IBM Research China.

M.S. Student Alumni

M.S., 2015
Devendra received his M.S. degree in Computer Science from Indiana University in 2015. His Master’s thesis work was on ‘Morphological classification of galaxies into spirals and non-spirals’ using computer vision and machine learning techniques under the guidance of Prof. David Crandall. He is now in the PhD program at University of Texas at Dallas.
M.S., 2016
Sumit received his M.S. in Computer Science from Indiana University Bloomington in 2016. His master’s thesis work involved application of deep learning techniques in infrared spectrum images, fine-grained recognition and egocentric scene classification.
Harsh Seth
M.S., 2015
Harsh received the M.S. degree in Computer Science from Indiana University in 2015. His Master’s thesis work (under the guidance of Prof. David Crandall) involved developing automated answering apps for the visually impaired, using Google Glass. He is now at Sears.
M.S., 2016
Manu Singh received his Masters degree in Computer Science from the School of Informatics and Computing in 2016. His master’s thesis work involved investigating tag selection and propagation methods for large scale social image classification. His research interests include computer vision, machine learning and data mining. He now works as a Cognitive Engineer at IBM Watson.
Tiangang Song
M.S., 2015
Tiangang Song received his Masters degree in Computer Science from the School of Informatics and Computing in 2015, and
received his B.E. from Wuhan University in 2013. His Master’s work investigated semi-automatic recognition using Human-in-the-loop techniques. His research interests include computer vision and machine learning. He now works at ESRI.
Tingyi Wanyan
M.S., 2016
Tingyi is currently a PhD student in the Intelligent Systems Engineering department at IU. His current research direction is Artificial Intelligence, Computer Vision and Neural Imaging. He received his M.S degree at Indiana University in 2016, majoring in Computer Science and working in the Computer Vision Lab.

Undergraduate Student Alumni

Research Intern, 2014
Dennis is a senior in Electrical and Computer Engineering at Olin College. He was an undergraduate intern at IU during Summer 2014. His research interests include deep learning and applying computer vision to image classification problems.
Research Intern, 2015
Demetris studied Artificial Neural Networks at IU during the summer of 2015. He is an undergraduate student in the 5th year of his 3/2 engineering program, and plans to graduate in the Fall 2016 with degrees from Auburn University and Berea College in Electrical Engineering and Applied Math and Sciences.
B.S. Informatics, 2012
Russell, CEO and Founder of Ornicept, is a passionate entrepreneur and computer scientist. He left the lab to pursue the commercialization of his computer vision research created under Professor Crandall’s mentorship. This research continues today under a Department of Energy grant. At Ornicept, he leads the development of SPECTEO, an enterprise software package designed to improve the collection, processing, and accuracy of data and fieldwork for engineers, scientists, and researchers.
Tayla Frizell
Research Intern, Summer 2015
Tayla is an undergraduate student at Mississippi Valley State University. She studied handwriting recognition and scoring to study child development at IU in Summer 2015.
Gustavo Goncalves
Research Intern, Summer 2014
Gustavo is an undergraduate student at Dillard University. He studied object recognition and tracking for quadcopter at IU in Summer 2014.
Paul Grubbs
B.S. 2012
Paul is a Ph.D. student at Cornell University. He studied accelerating computer vision algorithms with GPUs in 2011-2012.
Research Intern, Summer 2017
Alan is a sophomore majoring in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC). He was a student in the summer of 2017 and worked on the project, Examining Computer Vision Techniques for Providing Useful Information to People with Visual Impairments. On the UIUC campus, Alan spends most of his free time involved in other research topics or in engineering groups.
Benjamin Newman
B.S., 2016
Ben is now a Ph.D. student at Carnegie Mellon University. At IU, he worked with Profs. David Crandall and Chen Yu on eye tracking for studying child learning.
Research Intern, Summer 2017
Ethan is a Computer Science and Mathematics double major at Rose-Hulman Institute of Technology, graduating in 2018. He worked with Dr. David Crandall to use deep learning to study attention in driving. The research focused on teaching a convolutional net to extract the most relevant regions in high-resolution video data.
Research Intern, Summer 2017
Tyler is a student at Rose-Hulman Institute of Technology, studying Computer Engineering and Computer Science, 2018. Personally interested in computer vision, artificial intelligence, deep learning, neural networks, and embedded systems.
Alex Seewald
Research Intern, Summer 2014
Alex worked on deep learning for scene classification in Summer 2014 while an undergraduate at Earlham College. He is now a Ph.D. student in Computer Science at Indiana University.
Joshua Sherfield
Research Intern, Summer 2013
Joshua investigated color distributions on Flickr at IU in Summer 2013, while an undergraduate at worked on deep learning for scene classification in Summer 2014 while an undergraduate at Norfolk State University.
Dylan Vener
Research Intern, Summer 2017
Dylan is a Computer Science and Mathematics double major at Rose-Hulman Institute of Technology, graduating 2019. He worked on evaluating viability and reliability of various computer vision techniques for application towards helping visually impaired people.
David Zhang
B.S., 2015
David investigated optical music recognition in summer and fall 2013.