Faculty seminars:
  • Stanford, ISL (1/14)
    
Jacob Chakareski is Panasonic Professor of Computing at NJIT. His long-term vision is enabling ubiquitous networked immersion and virtual human teleportation to any remote corner of the world to assist humanity with societal challenges (see Figure). He synergistically investigates the emerging technologies of networked IoT drones, mobile virtual and augmented reality (VR/AR) systems, millimeter wave and free space optics wireless networking, fast reinforcement learning, edge computing, and scalable volumetric 360° video in pursuit of these objectives. He holistically explores the four key system aspects of such envisioned future applications for immersive communication: data capture, coding and signal representation, networking, and user reconstruction and interaction. His investigations span analysis, optimization, and implementation of concepts and techniques from communications and networking, signal processing, and machine learning. His interests include 5G and IoT network architectures, edge computing and caching in small-cell networks, and medical applications. He has eagerly pursued ultrasonic applications in telemedicine, remote sensing, and biomedicine, and integration of multi-view imaging into cyber-physical health care devices and systems, and is passionate about bridging science and technology via entrepreneurial activity.

On the personal side, Chakareski has broad interests spanning anthropology, history, foreign languages, travelling, healthy living and exercising, diverse music genres, and sports in general.

Important announcement: I have broad openings in my group spanning doctoral, postdoctoral, and developer positions.

    
NEWS:
Jan. 2021: Stanford ISL seminar on accelerated RL for emerging IoT systems and applications.
Prior news
Recent results:      (Please see Google Scholar for a comprehensive most up to date publication list.)
  • TIP 2020: "Viewport-Adaptive Scalable Multi-User Virtual Reality Mobile-Edge Streaming".
  • TSP 2020: "Accelerated structure-aware reinforcement learning for delay-sensitive energy harvesting wireless sensors".
  • TVT 2020: "Lifetime maximization in mobile edge computing networks".
  • TCOM 2019: "Delay-Sensitive Energy-Harvesting Wireless Sensors: Optimal Scheduling, Structural Properties, and Approximation Analysis".
  • TIP 2019: "UAV-IoT for next generation virtual reality".
Major awards & distinctions:
Media coverage:
Recent service:
  • Organizer: NSF Future VR/AR Network Workshop (April 2018)
  • Organizer: CPC-UAV Workshop @ IEEE SECON 2018
  • Organizer: SS Immersive VR/AR Experiences @ ACM MMSys 2017
  • Guest editor: IEEE TCSVT SI Mobile Visual Cloud (January 2017)
  • TP chair: IEEE Packet Video AR Workshop 2016
  • Demo/Expo chair: IEEE ICME 2016
Tech involvement:

COPYRIGHT © 2002 Jacob Chakareski. ALL RIGHTS RESERVED.