Dr. Yassine Maalej joins Longhorn IP

Longhorn IP is glad to welcome Dr. Yassine Maalej to the team. Mr. Maalej joins Longhorn IP as an Researcher, focusing on Video, Audio and AI Technologies.

Yassine Maalej is a researcher and inventor specializing in large‑scale video systems, applied AI, and real‑time perception. His work bridges academic research and production engineering to deliver scalable, AI‑enabled video solutions.

Mr. Maalej decade of work at the intersection of large‑scale video pipelines and applied artificial intelligence has shaped how video is processed, understood, and monetized at hyperscale. At Spectrum (Charter Communications), Maalej architected and delivered production systems that power high‑volume video workflows and analytics.

During his tenure at Spectrum, Maalej led engineering and research efforts across video encoding, quality instrumentation, and AI‑driven analytics. He designed burst transcoding pipelines for multi‑camera replay using NVIDIA NVENC across H.264, HEVC, and AV1, implemented VoD player quality metrics under hardware impairment, and built the computer‑vision and vision‑language systems behind Spectrum’s CDN video analytics and delivery platform. Key innovations include visual context summarization with vision‑language models, CLIP‑based hybrid video search, and LLM‑driven contextual video understanding.

Maalej’s technical foundation stems from his Ph.D. in Electrical and Computer Engineering at the University of Idaho, where his research focused on deep learning and 3D perception. His academic work covered object detection and tracking, video semantic segmentation, point‑cloud alignment, and real‑time video processing using frameworks such as Caffe, Darknet, OpenCV, ROS, and CUDA.

Earlier in his career, as a research assistant at Pennsylvania State University, Maalej contributed to hardware design for camera systems, developing automated Verilog/VHDL workflows to optimize circuits for power, area, and timing. That hardware‑level fluency, combined with his vision research and production video experience, gives him an unusually comprehensive, full‑stack perspective on video encoding and delivery systems.

Mr. Maalej’s work spans both industry invention and peer‑reviewed research. He is named on 16 granted U.S. patents and has authored academic publications that have collectively received over 200 citations, covering generative video, semantic video analysis, streaming delivery, and LLM‑driven video analytics.

Availability

More about the Longhorn IP team can be found here: https://www.longhornip.com/people