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 Associate
Reza received his Ph.D. in Computer Science from George Mason University in 2018 and M.S. in Computer Science from Drexel University in 2011.He finished his B.Sc. in Computer Science & Engineering from Bangladesh University of Engineering and Technology (BUET) in 2007. His research focuses on developing novel algorithms for perception tasks such as semantic segmentation, object detection exploiting the 3D information.
Soon-heung Jung
Visiting Scholar
Soon-heung received Ph.D. and M.S. degrees in Electrical Engineering from Korea Advanced Institute of Science and Technology (KAIST), Korea, and the BS degree in Electronics from Pusan National University, Korea. Since 2005, he has been a principal researcher in Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea. His research interests include immersive media, computer vision, video coding, and realistic broadcasting system.

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. Candidate, Computer Science
Bardia is a Ph.D. candidate in Computer Science at IU. Back in Iran, he received his BS in Pure Mathematics and his MS in Computer Science both from University of Tehran. His research is focused on using Graph-Convolutional and Convolutional Neural Networks for 3D Reconstruction and Hand and Object Pose Estimation.
Ph.D. Student, Informatics
Sam Goree received his BA in Computer Science and Music Theory from Oberlin College in 2017, and is now a PhD student in Informatics. He is interested in applying machine learning to creative and analytical problems in the arts.
Ph.D. Student, Computer Science
I am Eman Hassan, a PhD candidate in Computer Science. My main research interests are Machine Learning, Deep Learning and Computer Vision. Currently I am focusing on the use of generative models for domain adaptation, small object detection, and cross-domain retrieval.
Ph.D. Student, Computer Science
Shujon Naha is a Ph.D. student at Indiana University. He received his M.Sc. from University of Manitoba, Canada and his B.Sc. from BUET, Bangladesh. He is interested in developing computer vision algorithms which can effectively use weakly labeled or unlabeled data.
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.
Chuhua Wang
Ph.D. Student, Computer Science
Chuhua received his M.S. in Technology Management from New York University in 2014 and M.S. in Data Science from Indiana University in 2018. He is now pursuing his Ph.D. in Computer Science and his research interest is focus on object recognition and generative adversarial networks.
Jingya Wang
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. Student, Intelligent Systems Engineering
Yuchen received his M.S. in Computer Science from Indiana University in 2017 and his B.E. in Software Engineering from Tongji University in 2011. He is currently pursuing his Ph.D. in Computer Engineering with a Statistics minor. He is interested in computer vision research, especially on action recognition and video understanding.
Qingyang (Keith) Xiao
Ph.D. Student, Computer Science
Keith received his M.E. in Computer Science from Tsinghua University in 2016, and he is currently pursuing Ph.D. in Computer Science at Indiana University. His research mainly focuses on video analysis, computer vision, mobile computing, and VR/AR.
Ishtiak Zaman
Ph.D. Student, Computer Science
Ishtiak is currently pursuing his PhD on CS at IU. He completed his MS on CS from IU as well in 2016. His research is focused on deep learning and generative adversarial network. During pastime, he loves to explore photography, play billiard, or solve puzzles.
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 computer vision and machine learning problems in videos as well as graph convolution networks.

Current M.S. Students

Griffin Halloran
M.S. Student, Computer Science
Griffin received his B.S in Computer Science from IU in 2019 and is currently pursuing a MS degree in Computer Science. He is interested in researching the intersection of computer vision and data visualization to produce more explainable definitions of AI.
Xiwen Li
M.S. Student, Computer Science
Xiwen received his B.S. in Computer Science at Rose-Hulman Institute of Technology. He is currently pursuing a MSCS degree in WUSTL and is visiting IU in Summer 2019. He is interested in designing deep learning models to solve computer vision problems. During his visit to the lab, he was mainly working on application of capsule network on image segmentation and satellite image 3D reconstruction.
Violet Xiang
M.S. Student, Computer Science
Violet received her B.S. in Informatics and BA in Mathematics from IU in 2016. She is currently pursuing a MS degree in computer science. She is interested in studying the intersection of human and machine vision, neuro-inspired machine learning and scientific applications of computer vision.

Current Undergraduates

Kai Chen
Undergrad, Computer Science
Kai is currently a Computer Science undergraduate student at Fudan University and visited the IU Computer Vision Lab in Summer 2019. His research is focused on computer vision applications using deep learning, especially in object detection and segmentation. During his visit in IU, he was mainly working on automatic image segmentation, human-inspired computer vision, and satellite image 3D reconstruction.
Zunaeed Salahuddin
Undergrad, class of 2021
Zunaeed is an undergrad at IU studying Computer Science w/ an AI specialization, while minoring in Mathematics. He is working at the Computer Vision lab to fulfill his Cox Scholarship work component, while simultaneously familiarizing himself with tools and applications of CV and AI as a whole. He will be interning at Discover Financial Services as a Software Developer in the summer of 2020.

Ph.D. Student Alumni

Ph.D., 2016
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, Ph.D. in both Computer Science and Cognitive Science 2016, and was a Postdoc until 2018. His main research interest is in understanding egocentric video, from both technical and human perspectives. He is now with Nationwide Children’s Hospital.
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 Ph.D. in August 2014 and worked as a Computer Scientist at GE before joining Snap in 2016.
Ph.D., 2019
Chenyou received his Ph.D. in 2019 and his M.S. in 2014 in Computer Science from Indiana University. He received the B.S. in Computer Science from Nanjing University, China. He is now with Google.
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 Ph.D. 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 Ph.D. 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. 2018
Jangwon received the Ph.D. in the Intelligent and Interactive Systems track of Informatics in 2018. 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. He is now at ObjectVideo Labs.
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 an Assistant Professor at Oregon State University.
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., 2020
Mingze received his Ph.D. degree in Computer Science from Indiana University in 2020. Before that, he received his Master’s degree in Computer Science from Indiana University in 2014 and his Bachelor’s degree in Software Engineering from Jilin University in 2012. His research interests are primarily in the area of computer vision and deep learning, especially on temporal modeling and reasoning in videos. He is now at Amazon.
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 Ph.D. in August 2014 and is now an Assistant Professor at Shanghai Tech.

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 Ph.D. program at University of Texas at Dallas.
M.S., 2018
Gurleen completed his Master’s in Computer Science from IU. His focus area is deep neural network learning, object detection, and Generative Adversarial Networks. Currently he is working to deploy models on embedded systems. He interned at Google in summer 2017 and is now a Software Engineer at Microsoft. When not working, he sketches, follows video game releases, and watches rally-racing.
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.
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.
Ryder McMinn
M.S. Student, Computer Science
Ryder graduated from Indiana University with a Bachelor of Science degree in Computer Science. He is continuing his education with a Master’s of Science in Data Science at Indiana. When not studying, he enjoys playing fetch with his dog, fantasizing about space flight, and trying to find the best noodles in town.
Accelerated M.S./B.S. student
Katie is currently pursuing her degree in computer science, with research interests in anomaly detection, mathematics, data visualization, and applications of computer vision to health and education, like her thesis detecting dyslexia with neural networks. She worked at IBM Research in the summer of 2018 on neuromorphic computing, and will be returning there full-time. She hopes to potentially get a PhD and become a corporate research scientist.
M.S., 2018
Ramya received her M.S. in Computer Science from Indiana University. Previously she was a software engineer at Accenture Services Private limited, and received her B.E. in Electronics and Communications Engineering from Visveswaraya Technological University in 2012.
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 Ph.D. 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.
Jerry Gu
Research Intern, Fall 2019
Jerry Gu studies Computer Science and Technology at the University of Science and Technology of China, graduating in 2020. He was intern at IU in Fall 2019, working on image recognition and classification for several projects including an interdisciplinary application with the Department of Chemistry.
Emmanuel Klutse
Research Intern, Summer 2018
Emmanuel Klutse is an undergraduate majoring in Computer Science at Tougaloo College. His research focus for IU’s NSF REU program was Image Based Matching and Text Detection on Integrated Circuits. He plans on furthering his Computer Science education by earning a Master’s, and possibly a Ph.D. in either Computer Science or Software Engineering.
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.
Abraham Oliver
Undergrad, class of 2022
Abe worked in the Computer Vision Lab as a senior at Brown County High School, and is now an undergraduate student at Stanford University. 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.
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.
Gerald Pineda
Research Intern, Summer 2018
Gerald Pineda is a Computer Science and Studio Art double major at Depauw University, graduating in 2020. He worked with David Crandall and former partner, Emmanuel Klutse, in testing different approaches to do image matching for integrated circuits. He hopes to do more work with Computer Visions or User Experience Design in order to pursue his love for computers and the arts.
Research Intern, Summer 2019
Alejandra is an undergraduate at Case Western Reserve University. She interned at the IU Computer Vision Lab in the summer of 2019 focusing her research on computer vision for food recognition, studying both the models and their ethical implementations.
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.
Research Intern, Summer 2018
Anubhab Sen is a student at IIIT Hyderabad, India, studying Computer Science and Engineering, graduating in 2019. He worked with David Crandall in making a system that can identify notes played and fingers used from a piano video. His research is primarily focused on 3D reconstruction and pose estimation. He enjoys all the new exciting developments in computer vision and the underlying deep learning.
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.
The IU Computer Vision Lab's projects and activities have been funded, in part, by grants and contracts from the Air Force Office of Scientific Research (AFOSR), the Defense Threat Reduction Agency (DTRA), Dzyne Technologies, EgoVid, Inc., ETRI, Facebook, Google, Grant Thornton LLP, IARPA, the Indiana Innovation Institute (IN3), the IU Data to Insight Center, the IU Office of the Vice Provost for Research through an Emerging Areas of Research grant, the IU Social Sciences Research Commons, the Lilly Endowment, NASA, National Science Foundation (IIS-1253549, CNS-1834899, CNS-1408730, BCS-1842817, CNS-1744748, IIS-1257141, IIS-1852294), NVidia, ObjectVideo, Office of Naval Research (ONR), Pixm, Inc., and the U.S. Navy. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. Government, or any sponsor.