Andreas Savakis pic

Andreas Savakis

 

   Professor
   Department of Computer Engineering

   Office: GLE B9/3465           Map of RIT
   Email: andreas(dot)savakis(at)rit(dot)edu

 

  American Council on Education Fellow, 2011-12  

 


Experience

Research

Publications

Teaching

Service



Education

Ph.D. in Electrical Engineering with Mathematics Minor, North Carolina State University
M.S. in Electrical Engineering, Old Dominion University
B.S. in Electrical Engineering, Old Dominion University

 

Professional Experience

 

American Council On Education Fellowship, 2011-12


I had a fantastic year as American Council on Education Fellow during the 2011-12 academic year. 


During my ACE Fellowship, I explored the following areas of Higher Education through seminars, retreats, readings, projects and travels:


Professional Service

ABET Program Evaluator


ABET Program Evaluator for Computer Engineering and Electrical Engineering programs.

 

Honors and Awards



Teaching

Course material is posted at https://mycourses.rit.edu

Courses at RIT:

 


Research

Methods

Computer Vision

Image Processing and Multimedia

Hardware and Architectures



 

Publications

Journals and Book Chapters (selected)

1.    R. Ptucha and A. Savakis, “Manifold Based Sparse Representation for Facial Understanding in Natural Images”, Image and Vision Computing, May 2013.
2.    Tommy P. Keane, Eli Saber, Harvey Rhody, Andreas Savakis, and Jeffrey Raj, “Practical image registration concerns overcome by the weighted and filtered mutual information metric,” Journal of Electronic Imaging, vol. 21(2), Apr-Jun 2012.
3.    G. Tsagkatakis and A. Savakis, “Online Distance Metric Learning for Object Tracking,” IEEE Trans. Circuit and Systems for Video Technology, Nov. 2011.
4.    J. S. Schildkraut, N. Prosser, A. Savakis, J. Gomez, A. Singh, D. Nazareth, H. K. Malhotra, “Level Set Segmentation of Pulmonary Nodules in Megavolt Electronic Portal Images Using a CT Prior,” Medical Physics, Nov. 2010.
5.    G. Tsagkatakis and A. Savakis, “Face Detection in Resource Constrained Wireless Systems,” in Mobile Multimedia Processing: Fundamentals, Methods and Applications, X. Jiang, M. Ma and C. Chen Eds., Springer Verlag, 2010.
6.    J. Luo, A. Savakis and A. Singhal, “A Bayesian Networks-based Framework for Semantic Image Understanding,” Pattern Recognition Journal, pp. 919-934, June 2005.
7.    A. Savakis and J. Smith, “Multilevel Color Dropout: Algorithms and Media Processor Implementation, Journal of Electronic Imaging, vol 14(1), Jan-Mar 2005.
8.    N. Serrano, A. Savakis and J. Luo, “Improved Scene Classification Using Efficient Low-level Features and Semantic Cues,” Pattern Recognition, vol. 37, pp. 1773-1784, Sep. 2004.
9.    A. Loui and A. Savakis, “Automated Event Clustering and Quality Screening of Consumer Pictures for Digital Albuming,” IEEE Trans. Multimedia, pp. 390-402, Sep. 2003.
10.    A. Savakis, "Evaluation of Lossless Compression Methods for Continuous Tone Document Images," Journal of Electronic Imaging, pp. 79-86, Jan. 2002.

Conferences and Workshops (selected)

 1.    R. Ptucha, S. Azary and A. Savakis, “Keypoint Matching and Image Registration using Sparse Representations,” Int. Conf. Image Processing, ICIP 2013, Melbourne Australia, 2013.
2.    C. Bellmore, R. Ptucha, and A. Savakis, “Fusing of Depth and Color for an Improved Active Shape Model,” ICIP 2013, Int. Conf. Image Processing, Melbourne Australia, 2013.
3.    S. Azary and A. Savakis, “Grassmannian Spectral Regression for Action Recognition,” ISVC 2013, Int. Symposium on Visual Computing, 2013.
4.    S. Azary and A. Savakis, “Grassmannian Sparse Representations and Motion Depth Surfaces for  3D Action Recognition,” CVPR Workshop on Human Activity Understanding from 3D Data, Portland OR, 2013.
5.    R. Ptucha and A. Savakis, “LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification,” CVPR Workshop on Analysis and Modeling of Faces and Gestures, Portland OR, 2013.
6.    R. Ptucha and A. Savakis, “Joint Optimization of Manifold Learning and Sparse Representations,” IEEE Int. Conf. Automatic Face and Gesture Recognition, FG2013, Shanghai, China, 2013.
7.    T. Knack and A. Savakis, “Real-time content-aware video retargeting for tunnel vision assistance,” IS&T and SPIE Electronic Imaging, San Francisco, CA, Feb. 2013.
8.    R. Ptucha and A. Savakis, “Fusion of Static and Temporal Predictors for Unconstrained Facial Expression Recognition,” IEEE International Conference on Image Processing, ICIP 2012, Orlando, FL, Sep. 2012.
9.    S. Azary and A. Savakis, “A Spatiotemporal Descriptor based on Radial Distances and 3D Joint Tracking for Action Classification,” IEEE International Conference on Image Processing, ICIP 2012, Orlando, FL, Sep. 2012.
10.    S. Azary and A. Savakis, “Multiview Action Classification Using Sparse Representations on Motion History Images,” IEEE Western New York Image Processing Workshop, Rochester NY, Nov. 2012.
11.    A. Savakis, M. Stump, R. Melton, G. Behm and G. Sterns, “Low Vision Assistance using Face Detection and Tracking on Android Smartphones,” IEEE Midwest Symposium on Circuits and Systems, Boise, ID, Aug. 2012. (Invited Paper)
12.    S. Azary and A. Savakis, “3D Action Classification Using Sparse Spatio-Temporal Feature Representations,” Advances in Visual Computing, Lecture Notes in Computer Science, Science, Int. Symp. Visual Comp. ISVC 2012, Vol. 7432, pp. 166-175, 2012.
13.    R. Ptucha and A. Savakis, “Towards the Usage of Temporal Features for Facial Expression Classification,” Advances in Visual Computing, Lecture Notes in Computer Science, Int. Symp. Visual Comp. ISVC 2012, Vol. 7432, pp. 388-397, 2012.
14.    R. Ptucha, G. Tsagkatakis, A. Savakis, “Manifold Learning for Simultaneous Pose and Facial Expression Recognition,” Int. Conf. Image Proc. ICIP 2011, Brussels, Belgium, Sep. 2011.
15.    T. Keane, E. Saber, H. Rhody, A. Savakis, and J. Raj, “Unsupervised automated panorama creation for realistic surveillance scenes through weighted mutual information registration,” SPIE Electronic Imaging, San Francisco, CA, Jan. 2011.
16.    G. Tsagkatakis and A. Savakis, “Face Recognition using Sparse Representations and Manifold Learning,” Int. Symp. Visual Computing, ISVC2010, Las Vegas, NV, Nov. 2010.
17.    S. Azari and A. Savakis, “View Invariant Activity Recognition with Manifold Learning,” Int. Symp. Visual Computing, ISVC2010, Las Vegas, NV, Nov. 2010.
18.    G. Tsagkatakis and A. Savakis, “Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition,” Int. Conf. Pattern Rec., ICPR 2010, Istanbul, Turkey, Aug. 2010.
19.    G. Tsagkatakis and A. Savakis, “A Framework for Object Class Recognition with No Visual Examples,” IEEE Western NY Image Processing Workshop, Rochester, NY, Nov. 2010. (Best Paper Award)
20.    G. Tsagkatakis and A. Savakis, “Sparse Representations and Distance Learning for Attribute based Category Recognition,” ECCV 2010 First Int. Workshop on Parts and Attributes, Heraklion, Greece, Sep. 2010.
21.    R. Ptucha and A. Savakis, “Pose Estimation using Facial Feature Points and Manifold Learning,” Int. Conf. on Image Proc., ICIP 2010, Hong Kong, Sep. 2010.
22.    N. Kholgade and A. Savakis, “Human Activity Recognition using the 4D Spatiotemporal Shape Context Descriptor,” Int. Symp. Visual Computing, ISVC2009, Las Vegas, NV, Nov. 2009.
23.    G. Tsagkatakis and A. Savakis, “Random Projections for Face Detection under Resource Constraints,” Int. Conf. on Image Proc., ICIP 2009, Cairo, Egypt, Nov. 2009.
24.    G. Tsagkatakis and A. Savakis, “A Random Projections Model for Object Tracking under Variable Pose and Multi-Camera Views,” Int. Conf. on Distributed Smart Cameras, ICDSC 2009, Aug. 2009, Como, Italy.
25.    B. Tillapaugh and A. Savakis, “Indirect Camera Calibration for Surgery Tracking,” IEEE Int. Symposium Biomedical Imaging, ISBI 2009, Boston, MA.
26. V. Hannak, A. Savakis, S. J. Yang and P. Anderson, “Concurrent Evolution of Feature Extractors and Modular Artificial Neural Networks,” Proc. SPIE Defense and Security Symposium, Orlando, FL, April 2009.
27.    G. Tsagkatakis, M. Zervakis, A. Savakis, “Multiple Description Wireless Image Transmission with Low Parity Check Codes,” Int. Conf. Image Proc., ICIP 2008, San Diego CA, Oct. 2008.
28.    N. Kholgade and A. Savakis, “Human Activity Recognition in Video using Two Methods for Matching Shape Contexts of Silhouettes,” Proc. SPIE Defense and Security Symposium, Intelligent Computing: Theory and Applications VI, Orlando, FL, March 2008.
29.    A. Savakis, M. Lukowiak and J. Pyle, “FPGA Implementation of a Lossless to Lossy Bitonal Image Compression System, Int. Conf. Mixed Design Integrated Circuits and Systems, MIXDES 2008, Poznan, Poland, June 2008.
30.    J. Hnatow and A. Savakis, “An Eye Model for Uncalibrated Eye Gaze Estimation Under Variable Head Pose,” Proc. SPIE Defense and Security Symposium, Biometric Technology for Human Identification IV, Orlando, FL, April 2007.
31.    A. Savakis, M. Erhard, J. Schimmel, and J. Hnatow “A Multi-Camera System for Real-Time Pose Estimation,” Proc. SPIE Defense and Security Symposium, Intelligent Computing: Theory and Applications V, Orlando, FL, April 2007.
32.    A. Savakis and D. Higgs, “Parts-based Face Detection at Multiple Views,” VISAPP 2nd International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 2007.
33.    S. K. Gupta, E. C. Hensel, A. Savakis, P. Tymann and D. Narayan, “Retaining STEM students with the EMC^2 Scholars' Program at RIT,” Proc. 9th International Conference on Engineering Education, July 23-28, 2006, San Juan, PR, July 2006.
34.    S. Lyshevski, J. Andersen, S. Boedo, L. Fuller, R. Raffaelle, A. Savakis and G Skuse, “Multidisciplinary Undergraduate Nano-Science, Engineering and Technology Course.” IEEE Nano 2006 Conf., Cincinnati, OH, July 2006.
35.    S. Gupta, E. C. Hensel, A. Savakis, P. Tymann, D. Narayan, “Retaining Female and Minority Students with EMC2 Scholars,” ASEE 2005 Annual Conference and Exposition, Portland, Oregon June 2005.
36.    S. Lyshevski, J. Andersen, S. Boedo, L. Fuller, R. Raffaelle, A. Savakis, G. Skuse, “New Nano-Science, Engineering and Technology Course at Rochester Institute of Technology,” 2005 ASEE St. Lawrence Section Conference, Binghamton, New York, April 2005.
37.    A. Savakis and S. Jackson, “Adaptive Multilevel Median Filtering of Image Sequences,” Int. Conf. Image Proc. ICIP’2005, Genoa, Italy, Sep. 2005.
38.    R. Carbone and A. Savakis, “Discrete Wavelet Transform Core for Image Processing Applications,” Real time Image Proc., SPIE Electronic Imaging, San Jose, CA, Jan. 2005.
39.    M. Kane and A. Savakis, “Bayesian Network Structure Learning and Inference in Indoor vs. Outdoor Image Classification,” Int. Conf. Pat. Rec. ICPR’2004, Cambridge, UK, Aug. 2004.
40.    P. Sniatala, R. Rudnicki, and A. Savakis, “FPGA based System for MPEG-7 Descriptor Extraction,” IWSSIP’04 11th International Workshop on Systems Signals and Image Processing, Poznan, Poland, Sep. 2004.
41.    P. Sherry and A. Savakis, “Improved Methods for Watermarking Halftone Images,” ICASSP’04, Int. Conf. Acoustics, Speech and Signal Proc., Montreal, Canada, May 2004.
42.    R. Narasimha, A. Savakis, R. Rao and R. deQueiroz, "A Neural Network Approach to Key Frame Extraction" SPIE Electronic Imaging, Jan. 2004.
43.    J. Sweet, S. Harrington , R. Price Jones , A. Savakis , F. Naveda , P. Roetling, “A System for the Identification of Multi-Page Web Documents,” Canadian Conf. Electrical and Computer Engineering, Niagara Falls, Canada, May 2004.
44.    C. Brown and A. Savakis, "High Performance Architecture for Color Error Diffusion," Real Time Image Pro. VII, SPIE Electronic Imaging, Santa Clara, CA, Jan. 2003.
45.    J. Luo, A. Singhal, and A. Savakis, "Efficient Mobile Imaging using Emphasis Image Selection," The PICS Conf. Rochester, NY., May 2003.

46.    N. Serrano, A. Savakis and J. Luo, "A Computationally Efficient Approach to Indoor/Outdoor Scene Classification", ICPR Int. Conf. Pattern Recognition, Quebec, Canada, 2002.
47.    A. Savakis and M. Pioriun, "Benchmarking and Hardware Implementation of a JPEG-LS codec," ICIP'02, Rochester, NY, Sept. 2002.
48.    J. Luo and A. Savakis, “Indoor vs. Outdoor Classification of Consumer Photographs,” ICIP’01 Int. Conf. Image Proc., Thessaloniki, Greece, Oct. 2001.


Patents (issued)

1.      U.S. Patent 6,847,733, “Retrieval and browsing of database images based on image emphasis and appeal,” with R. Mehrotra,  Eastman Kodak Co., issued January 2005.

2.      U.S. Patent 6,832,006, “System and method for controlling image compression based on image emphasis,” with M. Rabbani, Eastman Kodak Co., issued December 2004.

3.      U.S. Patent Number 6738494, “Method for varying an image processing path based on image emphasis and appeal,” with E. Gindele and S. Etz, Eastman Kodak Co., issued May 2004.

4.      U.S. Patent Number 6748097, “Method for varying the number, size, and magnification of photographic prints based on image emphasis and appeal,” with E. Gindele and S. Etz, Eastman Kodak Co., issued June 2002.

5.      U.S. Patent 6671405, “Method for Automatic Assessment of Emphasis and Appeal in Consumer Images,” with S. Etz, Eastman Kodak Co., issued December 2003.

6.      U.S. Patent 6631212, “Two stage scheme for texture segmentation based on clustering using a first set of features and refinement using a second set of features,” with J. Luo, Eastman Kodak Company, issued November 2003.

7.      U.S. Patent 6535636, “Method for automatically detecting digital images that are undesirable for placing in albums,” with A. Loui, Eastman Kodak Company, issued March 2003.

8.      U.S. Patent Number 6323956, "Adaptive quantization of grayscale images," Eastman Kodak Company, issued November 2001.

9.      U.S. Patent Number 6044179, "Document Image Thresholding using Foreground and Background Clustering," Eastman Kodak Company, Issued March 2000.

10.  U.S. Patent Number 6035058, "Automatic Color Form Dropout using Luminance / Chrominance Space Processing," with J. Madigan, Eastman Kodak Company, Issued March 2000.

11.  U.S. Patent Number 4786168, "Frequency Domain Laser Velocimeter Signal Processor," with J. Meyers et al., NASA, Issued November 1988.


US Patent Database

 


Last updated June 2013