Angik Sarkar

About Angik Sarkar

Physical AI needs a nervous system: a way for devices to sense, coordinate, and respond in real time without paying the battery tax of radiated wireless.At Ixana, we are building Wi‑R, a non‑radiative physical layer that keeps connectivity localized near devices using electric fields. The goal is simple: enable always-on, low-latency interaction that feels “wired,” but works in the real world.‑ • ‑ : continuous wearable-to-wearable connectivity designed for ultra-low power • ‑ (Near Field Electric): high-speed near-field link for “touch” and near-touch (<20cm) experiences, positioned as 5 Mbps at sub-milliwatt power and 10x faster than legacy NFC ‑2001 and 23 chips are live and sampling If you are building wearables, XR, hearables, or device-to-device experiences for Physical AI, I am happy to connect.Explore the platform and demos: https://ixana.ai/?utm_source=angik_linkedin

Experience

1. Co-founder and CEO

   Ixana

   Nov 2022 — Present · US

   We are building Wi‑R, a non‑radiative connectivity PHY designed for wearable and near-field communication, enabling real-time interaction without relying on power-hungry radiated RF. • ‐ : continuous wearable-to-wearable links designed for ultra-low power • ‐ (Near Field Electric): “near-touch” link for fast, local exchange, positioned as 5 Mbps and 10x faster than legacy NFC Profile‐ and transceivers are live and sampling (lowest SWaP in class) ‐ • Always-on Physical AI interaction without staring at a screen • New near-field experiences: touch-to-transfer, touch-to-connect, portless service workflows • Localized connectivity that reduces broadcast exposure versus radiated RFLearn more and see demos: https://ixana.ai/?utm_source=angik_linkedin

Education

• Purdue University

  PhD, Electrical and Computer Engineering

  2007 — 2012

• Indian Institute of Technology(IIT) (Kharagpur, India)

  Bachelor of Technology, Electrical Engineering

  2003 — 2007

Skills

• Python
• Latex
• Artificial Intelligence
• Start-Ups
• Modeling and Simulation of Magnetic Logic Devices.
• Vlsi
• Designing Quantum Logic Processors.
• Simulations
• Linux
• C++
• Machine Learning
• Programming in Matlab, Simulink, Spice, Basics of C/C++
• C
• Programming
• Simulink
• Data Analysis
• Matlab
• Device Physics
• Algorithms
• Thermodynamic Analysis of Switching Energy and Delay.
• Physics