Fatih Porikli
Vice President, Technology @高通
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WORK HISTORY
Vice President, Technology @高通
San Diego, CA, US
Global head of AI Research, spearheading generative AI projects (LLM, VLM, VLA, multi-modal, agentic, embodied, efficient, robustness), perception, computer vision, speech for mobile, compute, PC, robotics, cloud, AR/VR, camera, wireless, IoT.• Leading diverse teams (160+ members, 10+ core tracks) across three continents and six centers • Driving research in efficient AI solutions for multi-modal (text, image, video, 3D, audio, RF), multi-sensor (camera, radar, LiDAR, 5G), mobile platforms for mobile, auto, XR, IoT, compute BUs• Advancing generative AI commercialization, including LLMs, VLMs, LMMs, agentic, embodied• Steering R&D strategies, engineering, SW development, data collection, IP creation (multiple awards)• Directing university collaborations to build strategic partnerships and drive AI innovation
EDUCATION
New York University
PhD, Electrical and Computer Engineering, Computer Science
Bilkent University
BS, Electrical Engineering
New York University
MS, Electrical and Computer Engineering, Mathematics
SKILLS
ABOUT FATIH PORIKLI
I am a results-oriented leader with extensive experience in conceiving, negotiating, and delivering cutting-edge generative AI and perception solutions for corporate clients and end-users. I have played a pivotal role in developing and commercializing AI technologies across diverse industries such as autonomous vehicles, mobile devices, AR/XR, consumer electronics, video surveillance, biometrics, radiotherapy, industrial inspection, satellite systems, and defense. My expertise in multi-modal data analytics enables me to create substantial value and drive transformative outcomes in high-pressure, complex environments.With a proven track record of building and leading high-performing R&D teams, I consistently exceed expectations and advance the frontiers of technology. I have successfully managed cross-functional teams of senior leaders, project managers, researchers, developers, and systems engineers, combining technical leadership with hands-on execution. I am dedicated to empowering my teams to achieve excellence while cultivating a collaborative and high-impact work culture. Highlights:• Fellow (Computer Society)• R & D100 Awards Winner (Scientist of the Year Category)• Led teams of various sizes, from small groups to over 150 researchers and engineers• Leading expert in Generative AI, Machine Learning, Perception, Computer Vision, Speech • Developed world’s most efficient and capable generative AI models (including LLMs, VLMs, text-to-image/video/3D, multi-modal, reasoning, agentic, RAG, safety guards, tokenizers) distilled and fine-tuned for optimal performance on edge devices and accelerators • Spearheaded the development of E2E and hybrid AI architectures, spanning foundational CNNs, RNNs, GANs, SSMs, auto-encoders, transformers, MoEs, LoRAs, speculative and parallel decoding, CoT, and beyond. Leveraged large-scale and on-device fine-tuning, zero/few-shot learning, self/semi-supervised, and reinforcement/imitation learning • Applied AI to classification, segmentation, detection, tracking, saliency, super-resolution, denoising, deblurring, stylization, neural compression, personalization, domain adaptation, 3D estimation, activity recognition, change detection, always-on, ASR, TTS, voice cloning• Best Paper Awards: 8, Professional Awards: 8, US patents: 200+ • Authored 360+ papers, received citations, my Google Scholar: h-index: 93, i10-index: 319 • Served as Area Chair at conferences, Associate Editor for journals, co-organized 20+ workshops
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