Andreas Savakis Headshot

Andreas Savakis

Professor

Department of Computer Engineering
Kate Gleason College of Engineering

Office Location

Andreas Savakis

Professor

Department of Computer Engineering
Kate Gleason College of Engineering

Education

BS, MS, Old Dominion University; Ph.D., North Carolina State University


Areas of Expertise

Select Scholarship

Published Conference Proceedings
Rahman, F., B. Vasu, and A. Savakis. "Resilience and Self Healing of Deep Convolutional Object Detectors." Proceedings of the International Conf. on Image Processing (ICIP). Ed. IEEE. Athens, Greece: IEEE, 2018. Web.
Minnehan, B. and A. Taufique. "Fully Convolutional Adaptive Tracker with Real Time Performance." Proceedings of the Defense and Commercial Sensing, Geospatial Informatics Conference. Ed. SPIE. Baltimore, MD: SPIE, 2019. Web.
Taufique, A. M. N. and A. Savakis. "Automatic Quantification of Facial Asymmetry Using Facial Landmarks." Proceedings of the IEEE Western New York Signal and Image Processing Workshop. Ed. IEEE. Rochester, NY: IEEE, 2019. Web.
Show 50 More ↓
Peer Reviewed/Juried Poster Presentation or Conference Paper
Vasu, B. and A. Savakis. "Visualizing the Resilience of Deep Convolutional Network Interpretations." Proceedings of the Computer Vision and Pattern Recognition (CVPR). Ed. IEEE. Long Beach, CA: IEEE`.
Journal Paper
Savakis, A., et al. "Change Detection in Satellite Imagery with Region Proposal Networks." Defense Systems Information Analysis Center (DSIAC) Journal. (2019): 22-28. Print.
Minnehan, B. and A. Savakis. "Deep Domain Adaptation with Manifold Aligned Label Transfer." Machine Vision and Applications 30. (2019): 473–485. Web.
Minnehan, B. and A. Savakis. "Grassmann Manifold Optimization for Fast-Norm Principal Component Analysis." Signal Processing Letters. (2019): 242-246. Print.
Show 9 More ↓
Book Chapter
Bacharidis, K., et al. "Methods for estimating the optical flow on fluids and deformable river streams: Α critical survey." Water Smart Grids: A Cyber-Physical Approach. Boca Raton, FL: CRC Press, 2018. 255-290. Print.
Ptucha, R. W. and A. Savakis. "Facial Expression Recognition." IGI Global Encyclopedia of Information Science and Technology. Hershey, PA: IGI Global, 2014. 536-547. Print.
Published Article
Tsagkatakis, G., and A. Savakis, “Face Detection in Resource Constrained Wireless Systems.” Mobile Multimedia Processing: Fundamentals, Methods and Applications. Lecture Notes in Computer Science, 5960 (2010):203-220. Print. "  *
Tsagkatakis, G., and A. Savakis, “Face Recognition using Sparse Representations and Manifold Learning.” Lecture Notes in Computer Science, 6453 (2010): 509-518. Web. "  É  *
Azari, S., and A. Savakis. “View Invariant Activity Recognition with Manifold Learning.” Advances in Visual Computer, Lecture Notes in Computer Science, 6454 (2010): 606-615. Web. "  *
Show 3 More ↓

Currently Teaching

CMPE-610
3 Credits
This course begins by reviewing signal and system analysis techniques for analyzing linear systems. It includes Fourier techniques and moves on to present fundamental computational techniques appropriate for a number of applications areas of computer engineering. Other topics include symbolic logic and optimization techniques.
IMGS-699
0 Credits
This course is a cooperative education experience for graduate imaging science students.
IMGS-790
1 - 6 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-890
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.

In the News

  • September 23, 2022

    student wearing a virtual reality headset.

    AI summit brings together an exciting range of research underway

    Applications being developed at RIT using artificial intelligence vary from sophisticated medical monitoring devices to the development of autonomous systems for Indy racecars. These represent some of the exciting and complex work underway at the university that will be featured prominently at the AI@RIT Summit: Discovering and Harnessing the Breadth and Depth of Artificial Intelligence at RIT.

  • March 13, 2019

    Head-and-shoulders view of man with glasses

    New research unlocking the secrets of how languages change

    New research is helping scientists around the world understand what drives language change, especially when languages are in their infancy. The results will shed light on how the limitations of the human brain change language and provide an understanding of the complex interaction between languages and the human beings who use them.