Alexander Loui

Professor of Practice

Department of Computer Engineering

Kate Gleason College of Engineering

acleec@rit.edu

585-475-5799

Office Location

GLE-3419

Alexander Loui

Professor of Practice

Department of Computer Engineering

Kate Gleason College of Engineering

Education

BS, MS, Ph.D., University of Toronto (Canada)

Bio

Alexander C. Loui received his B.A.Sc. (Honors), M.A.Sc, and Ph.D. all in Electrical Engineering from the University of Toronto, Canada. He is a Professor of Practice in the Department of Computer Engineering at Rochester Institute of Technology, and leads the Multimodal Analysis and Perception (MAP) Lab. Prior to that, he spent over 28 years in a number of technical and research leadership positions with Kodak Alaris (2013-18), Kodak Research Labs (1996-13), and Bell Communications Research (1990-96). Dr. Loui has been directing research and algorithm development on computer vision, image/video processing and analysis, video summarization, image management, and visual communications. His research interests also include machine learning and data mining algorithms for multimedia and AI applications. He has published over 100 refereed journal and conference papers and has been granted over 95 US patents in these areas.

Dr. Loui is a Senior Area Editor of IEEE Transactions on Image Processing, and a Senior Editor of SPIE/IS&T Journal of Electronic Imaging. He had served as an associate editor of IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia. He had been an elected member of the IEEE ICME Steering Committee, IVMSP, MMSP, and MSA Technical Committees. He was Chair of the IEEE Rochester Section (2010-11), and Chair of the Rochester Chapter of IEEE Signal Processing Society (2005). Dr. Loui was named a Kodak Distinguished Inventor for his contributions to image understanding and management technologies. He is a recipient of the IEEE Region 1 Technological Innovation Award and a Fellow of IEEE and SPIE.

Selected Publications:

A. Soni, A. Loui, S. Brown, and C. Salvaggio, "High-quality multispectral image generation using conditional GANs," Proc. IS&T Electronic Imaging – Special Session on Drone Imaging I, Burlingame, CA, Jan. 2020.
M. Kucer, A. Loui, and D. Messinger, "Leveraging expert feature knowledge for predicting image aesthetics," IEEE Trans. on Image Processing, Vol. 27, Issue 10, Oct. 2018.
C. Zhang and A. Loui, "A coarse-to-fine framework for video object segmentation," Proc. IS&T Electronic Imaging – Visual Information Processing and Communication Conference, San Francisco, CA, Jan. 2017.
M. Wood, M. Das, P. Stubler, and A. Loui, “Event-enabled intelligent asset selection and grouping for photobook creation,” Image and Vision Computing – Special Issue on Event-based Media Processing and Analysis, Vol. 53, Elsevier, Sept. 2016.
W. Jiang, and A. Loui, “Video concept detection by audio-visual grouplets,” International Journal of Multimedia Information Retrieval (IJMIR), Vol. 1, Issue 4, pp. 223-238, Springer, Dec. 2012.
M. Das, A. Loui, and A. Blose, “Visual feature localization for detecting unique objects in images,” book chapter on Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring, Wiley/IEEE Computer Society Press, Oct. 2012.

acleec@rit.edu

585-475-5799

Select Scholarship

Published Conference Proceedings

Soni, Ayush, et al. "High-quality Multispectral Image Generation Using Conditional GANs." Proceedings of the IS&T Electronic Imaging 2020, Special Session on Drone Imaging I. Ed. Andreas Savakis and Grigorios Tsagkatakis. Burlingame, CA, United States: n.p., 2020. Web.

Full Patent

Ptucha, Raymond, et al. "Imaging workflow using facial and non-facial features." U.S. Patent 10,528,795. 7 Jan. 2020.

Loui, Alexander and Chi Zhang. "System and method for coarse-to-fine video object segmentation and re-composition." U.S. Patent 10,540,568. 21 Jan. 2020.

Manico, Joseph, et al. "System and method for predictive curation, production infrastructure, and personal content assistant." U.S. Patent 10,546,229. 28 Jan. 2020.

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Currently Teaching

CMPE-480

Digital Signal Processing

3 Credits

This course introduces the basic elements of continuous and discrete time signals and systems and fundamental signal processing techniques, such as FIR and IIR Filtering, the Fourier transform, the Discrete Fourier transform and the z transform. Theory is strengthened through MATLAB-based projects and exercises.

CMPE-497

Multidisciplinary Senior Design I

3 Credits

This is the first in a two-course sequence oriented to the solution of real-world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow a systems engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, developing the details of the design, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. This first course focuses primarily on defining the problem and developing the design, but may include elements of build/ implementation. The second course may include elements of design, but focuses on build/implementation and communicating information about the final design.

CMPE-498

Multidisciplinary Senior Design II

3 Credits

This is the second in a two-course sequence oriented to the solution of real-world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow a systems engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, developing the details of the design, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. The first course focuses primarily on defining the problem and developing the design, but may include elements of build/ implementation. This second course may include elements of design, but focuses on build/implementation and communicating information about the final design.