معرفی
Larry Pearlstein is an Associate Professor of Electrical and Computer Engineering at The College of New Jersey (TCNJ). He specializes in deep learning, neural networks, high-performance digital systems, and video/image processing. He served as Chairman of the ATSC Video Specialists Group, developing standards for digital TV in the US. With over 70 patents in video processing and high-performance computing, his work spans frame rate conversion, digital video recording, and embedded systems design.
Education:
- Ph.D. in Electrical Engineering, Princeton University (1987)
- M.S. in Electrical Engineering, Princeton University (1984)
- B.S. in Electrical Engineering, Drexel University (1982)
Research Interests: His research focuses on deep learning applications, high-performance digital systems, and video/image processing. He explores transfer learning for fault diagnosis, GAN-based synthetic image generation, and IoT anomaly detection. His work integrates AI into medical devices (e.g., mHealth smoking cessation tools) and cybersecurity (malware classification).
Publications: Recent work includes studies on transfer learning for bearing fault diagnosis, DCNN optimization for image fusion, and parameterized synthetic image generation via GANs. He also contributes to medical device development (e.g., T-COM) and video coding efficiency.
Advising & Grants: While no specific advisees are listed, he teaches advanced courses in neural networks, digital signal processing, and embedded systems, likely mentoring student projects. His patents and grants reflect industry-academia collaboration in video processing and hardware design.
