TMRMResearch portfolio

Projects

Research systems and independent software. Open a project to read its overview.

  1. Multimodal elevator interaction: A digital interface combining touch, gaze and Hindi, Gujarati or English voice, alongside a hardware voice-control prototype. Evaluated with 30 healthy participants.
    HCIEye TrackingASREmbedded
  2. Gaze-driven Indic text entry: A hierarchical keyboard for Hindi and Gujarati, exploring gaze-driven selection, predictive language models and dwell-free interaction to reduce gaze travel and support assistive communication.
    Eye TrackingDwell-freeIndic ScriptsLanguage Models
  3. Confidence-aware intent inference: Ongoing PhD research combining gaze, speech, EMG and EEG with confidence-aware fusion to infer intent under noisy conditions for assistive communication and control.
    MultimodalEMG / EEGSpeechIntent Inference
  4. Aarekh: An independent workspace that connects a focus timer to tasks, records timestamped daily notes, organises a reading library and tracks progress toward long-range goals.
    Web appTimer & TasksDaily NotesLiterature Library

Collaborate

I’m open to research collaborations in HCI, multimodal interaction, assistive communication, gaze-driven and Indic-language interfaces, silent speech, and confidence-aware intent inference. I also welcome deployment and accessibility evaluation partnerships for public systems, and collaborations with clinical and language researchers on assistive communication.

ramanand.k@iitgn.ac.in
Confidence-aware intent inference · full overview

Ongoing PhD research · HAIx Lab, IIT Gandhinagar

Research with Dr. Yogesh Kumar Meena on combining gaze, speech, EMG and EEG to infer intent under real-world uncertainty.

Research approach

The work investigates confidence-aware multimodal fusion that accounts for signal quality, sensor noise, user context and task demands. It also explores EMG-based silent-speech decoding, including variability between people and electrode shifts.

Communication and control

The aim is to make assistive communication and control more reliable when individual input channels are noisy or uncertain. These are ongoing research directions rather than measured outcomes asserted here.

Ramanand · Yogesh Kumar Meena

ramanand.k@iitgn.ac.in
Aarekh · full overview

Live · Independently built and maintained by Ramanand

A workspace for focused, long-term work, bringing a timer, tasks, daily notes, a reading library and a long-range progress tracker onto one page.

How it works

  • Attach a task to a focus session to accumulate time without a separate log.
  • Timestamped notes keep a record of the day; completed days lock.
  • A literature library organises papers, datasets and labs, with tags, ratings and reflections.
  • A named long-range goal appears as a day grid against a target date.

Try the workspace

Independent software, separate from my doctoral research systems.

Open Aarekh →