معرفی
Edward K. Wong is an Associate Professor in the Department of Computer Science and Engineering at New York University's Tandon School of Engineering. He holds a Ph.D. in Electrical Engineering from Purdue University (1986), an Sc.M. from Brown University (1981), and a B.E. from SUNY Stony Brook (1979). His research focuses on image processing, computer vision, pattern recognition, and computer graphics, with notable contributions to steganalysis and assistive technologies for the visually impaired. He has published extensively, with over 50 journal and conference articles, and serves as an associate editor for Springer LNCS Transactions on Data Hiding and Multimedia Security. His work has been funded by federal agencies and private industry. He is affiliated with the NYS Center for Advanced Technology in Telecommunications (CATT) and professional organizations like IEEE, ACM, and SPIE.
Education:
- Ph.D., Electrical Engineering, Purdue University (1986)
- Sc.M., Electrical Engineering, Brown University (1981)
- B.E., Electrical Engineering, SUNY Stony Brook (1979)
Research interests include steganalysis techniques for document and image security, computer vision applications in assistive technologies, and deep learning for pattern recognition. His recent work explores generative adversarial networks (GANs) for image translation and real-time tracking systems. He has collaborated on projects such as Cross-Safe for pedestrian signal accessibility and DeepShape for 3D model retrieval.
Publications highlight trends in steganalysis using CNNs, GAN-based image processing, and sensor fusion for obstacle detection. Awards and grants are not explicitly mentioned, but his research has been sponsored by federal and industrial partners. He advises collaborations across medical and engineering domains, such as predicting optimal treatment positions in breast radiotherapy using SVM algorithms.
Labs and affiliations include the CATT Center at NYU, focusing on telecommunications and advanced technologies.
