Gregory D. Hager is a Professor and Chair of Computer Science at Johns Hopkins University. He received his BA from Luther College and his MSE and PhD from the University of Pennsylvania in 1986 and 1988, respectively. After a year as a Fulbright scholar at the University of Karlsruhe, he joined the faculty of Yale University in 1990. He moved to Johns Hopkins in 1999. His research interests include image-guided robotics, human-machine collaboration, and medical applications of image analysis and robotics. He has served as the Deputy Director of the NSF Engineering Research Center for Computer Integrated Surgical Systems and Technology, he serves on board of the International Federation of Robotics Research, and he is a fellow of the IEEE for his contributions in vision-based robotics. He serves as Chair of the Computing Community Consortium.
Selected Awards
2014, Elected Chair of the Computing Computing Consortium Council
2012, Elected Member, Board of the International Federation of Robotics Research
2006, Elected Fellow of the IEEE
2006, MICCAI Best Paper Award
1988, Fulbright Junior Faculty Award
1988, Morris Ruben Outstanding Dissertation Award
Research Interests
Robotics
Vision
Human-Machine systems
Medicine
Selected Publications
Zappella, Luca; Béjar, Benjamín; Hager, Gregory; Vidal, René: Surgical gesture classification from video and kinematic data. Medical Image Analysis 17 (7), 2013, 732-745.
Ahmidi, Narges; Hager, Gregory D.; Ishii, Lisa; Gallia, Gary L.; Ishii, Masaru: Robotic Path Planning for Surgeon Skill Evaluation in Minimally-Invasive Sinus Surgery. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. Springer Science + Business Media, 2012.
Tao, Lingling; Elhamifar, Ehsan; Khudanpur, Sanjeev; Hager, Gregory D.; Vidal, René: Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation. In: Information Processing in Computer-Assisted Interventions. Springer Science + Business Media, 2012.
Gao, Y.; Sedef, M.; Jog, A.; Peng, P.; Choti, M.A.; Hager, G.; Berkley, J.; Kumar, R.: Towards validation of robotic surgery training assessment across training platforms. IROS, 2011.
Ahmidi, Narges; Hager, Gregory D.; Ishii, Lisa; Fichtinger, Gabor; Gallia, Gary L.; Ishii, Masaru: Surgical Task and Skill Classification from Eye Tracking and Tool Motion in Minimally Invasive Surgery. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. Springer Science + Business Media, 2010.
Su, Li-Ming; Vagvolgyi, Balazs P.; Agarwal, Rahul; Reiley, Carol E.; Taylor, Russell H.; Hager, Gregory D.: Augmented Reality During Robot-assisted Laparoscopic Partial Nephrectomy: Toward Real-Time 3D-CT to Stereoscopic Video Registration. Urology 73 (4), 2009, 896-900.
Varadarajan, Balakrishnan; Reiley, Carol; Lin, Henry; Khudanpur, Sanjeev; Hager, Gregory: Data-Derived Models for Segmentation with Application to Surgical Assessment and Training. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. Springer Science + Business Media, 2009.
Reiley, Carol E.; Hager, Gregory D.: Task versus Subtask Surgical Skill Evaluation of Robotic Minimally Invasive Surgery. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. Springer Science + Business Media, 2009.
Lin, Henry C.; Shafran, Izhak; Yuh, David; Hager, Gregory D.: Towards automatic skill evaluation: Detection and segmentation of robot-assisted surgical motions. Computer Aided Surgery 11 (5), 2006, 220-230.
Coskun, Huseyin; Achilles, Felix; DiPietro, Robert; Navab, Nassir; Tombari, Federico: Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization. 2017 IEEE International Conference on Computer Vision (ICCV), IEEE, 2017 more…BibTeX
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Krishnan, Sanjay; Garg, Animesh; Patil, Sachin; Lea, Colin; Hager, Gregory; Abbeel, Pieter; Goldberg, Ken: Transition State Clustering: Unsupervised Surgical Trajectory Segmentation for Robot Learning. In: Springer Proceedings in Advanced Robotics. Springer International Publishing, 2017 more…BibTeX
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Rupprecht, Christian; Laina, Iro; DiPietro, Robert; Baust, Maximilian: Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. 2017 IEEE International Conference on Computer Vision (ICCV), IEEE, 2017 more…BibTeX
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2016
Chi Li; Bohren, Jonathan; Carlson, Eric; Hager, Gregory D.: Hierarchical semantic parsing for object pose estimation in densely cluttered scenes. 2016 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2016 more…BibTeX
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DiPietro, Robert; Lea, Colin; Malpani, Anand; Ahmidi, Narges; Vedula, S. Swaroop; Lee, Gyusung I.; Lee, Mija R.; Hager, Gregory D.: Recognizing Surgical Activities with Recurrent Neural Networks. In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016. Springer International Publishing, 2016 more…BibTeX
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Lea, Colin; Vidal, Rene; Hager, Gregory D.: Learning convolutional action primitives for fine-grained action recognition. 2016 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2016 more…BibTeX
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Rupprecht, Christian; Lea, Colin; Tombari, Federico; Navab, Nassir; Hager, Gregory D.: Sensor substitution for video-based action recognition. 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2016 more…BibTeX
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2015
Ghalamzan E., Amir M.; Paxton, Chris; Hager, Gregory D.; Bascetta, Luca: An incremental approach to learning generalizable robot tasks from human demonstration. 2015 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2015 more…BibTeX
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Lea, Colin; Hager, Gregory D.; Vidal, Rene: An Improved Model for Segmentation and Recognition of Fine-Grained Activities with Application to Surgical Training Tasks. 2015 IEEE Winter Conference on Applications of Computer Vision, IEEE, 2015 more…BibTeX
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2013
Zappella, Luca; Béjar, Benjamín; Hager, Gregory; Vidal, René: Surgical gesture classification from video and kinematic data. Medical Image Analysis 17 (7), 2013, 732-745 more…BibTeX
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