Avaneeth Anil

MS Internet of Things · Northeastern University

Avaneeth Anil

I build AI systems for wireless networks — digital twins, radio map generation and channel modeling for the 5G/6G edge.

Researcher, Institute for the Intelligent Networked Systems

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Avaneeth Anil

I'm a graduate student pursuing my MS in Internet of Things at Northeastern University, following a Bachelor of Engineering in Electronics and Telecommunication Engineering. Outside the classroom I work as a researcher at the Institute for the Intelligent Networked Systems.

My research applies AI and machine learning to wireless communication systems, with an emphasis on digital twins, 5G/6G networks, channel modeling and radio map generation — plus embedded deep learning for real-time wireless testbeds and next-generation network optimization.

Education
MS Internet of Things, Northeastern University (expected Dec 2026 · GPA 4.0)
BE Electronics & Telecommunication Engineering, RV College of Engineering
Role
Research Assistant, Institute for the Intelligent Networked Systems
Focus
Digital twins · Radio maps · Channel modeling · Embedded deep learning
Based at
Northeastern University, Boston, MA
  1. Jun 2025 — Present Boston, MA

    Research Assistant

    Institute for the Intelligent Networked Systems · Northeastern University

    1. Jan — Jun 2026 AI Software Developer
    2. Jun — Dec 2025 Volunteer Researcher

    Digital twins for the radio access network — online radio map generation, channel modeling and emulation across 5G/6G testbeds. Also builds multi-modal deep learning pipelines on neural and physiological signals for real-time clinical prediction.

    • Digital Twins
    • Radio Maps
    • OpenAirInterface
    • 5G NR
    • Colosseum
    • GPU Channel Emulation
    • CNN / GRU / LSTM
  2. Jan — Jul 2024 Bengaluru, India

    Planner — Robotics Implementation

    K12 Technoservices Pvt. Ltd.

    Led robotics and IoT implementation for STEM education modules — designing circuits and PCBs through SPICE and EasyEDA, then turning them into robots for human-following, maze-solving and chatbot-assistant tasks. Built six competition bots for the Technoxian World Robotics Championship, one placing second among 500+ teams.

    • ROS
    • MQTT
    • Embedded Software
    • PCB Design
    • SPICE / EasyEDA
  3. Mar — Jul 2023 Bengaluru, India

    Hardware Engineer Intern

    Citriot Solutions Pvt. Ltd.

    Engineered hardware and firmware for industrial-grade products, leading to CogniSense — a machine health monitor patented by Citriot — which uses sensor fusion and deep learning for predictive analysis. Also shaped Par-King, a LoRaWAN sensor network for app-based smart parking deployed across selected lots in Bengaluru.

    • Sensor Fusion
    • LoRaWAN
    • MQTT
    • Kafka
    • PCB Design
    • RF Design
  1. May 2026 — Present

    Peer Reviewer

    IEEE Journal of Biomedical and Health Informatics · IEEE JBHI

  2. Sep — Dec 2025 Boston, MA

    Graduate Teaching Assistant

    EECE 5550 Mobile Robotics · Northeastern University

    Ran weekly office hours on SLAM, localization and path planning for 40+ graduate students, prepared course material, and handled grading and Canvas administration.

    • SLAM
    • Localization
    • Path Planning
  1. Feb 2026
    Poster

    SeizNet: A Multi-Modal AI-Based Seizure Prediction System

    Industry Day 2026 — Toward Open 6G Networks · Northeastern University Event page

  2. Sep 2025
    Poster

    SeizNet: A Multi-Modal AI-Based Seizure Prediction System

    MIT–MGB AI Cures 2025 · Samberg Conference Center, MIT Event page

In preparation.

New work from the Institute for the Intelligent Networked Systems is on the way. In the meantime, my profile lives on Google Scholar.

Wireless Systems
& IoT

  • 5G NR
  • Open RAN
  • OpenAirInterface
  • Digital Twin Frameworks
  • Radio Maps
  • Channel Modeling & Emulation
  • Ray Tracing
  • Colosseum Testbed
  • SDR (USRP)
  • LoRaWAN
  • BAN Sensor Networks
  • Edge Computing

Machine Learning
& DSP

  • TensorFlow
  • PyTorch
  • CNNs
  • RNNs
  • Transformers
  • Time-Series Signals
  • Signal Processing (EEG/ECG)
  • Real-Time DSP
  • Model Optimization (CUDA, TensorRT, ONNX)

Programming
& Infrastructure

  • Python (NumPy, pandas, SciPy, scikit-learn)
  • MATLAB
  • C/C++
  • JavaScript
  • Bash
  • FastAPI
  • Flask
  • Leaflet
  • Docker
  • Git
  • Linux / HPC
  • Nginx
  • Gunicorn

Let's put a network
on the map.

Open to research collaborations, graduate roles and anything at the intersection of wireless systems and machine learning.