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SwitchBraidNet:Quantisation-aware lightweight architecture for hybrid brain-computer interface
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Yogesh Kumar Meena, PhD
Assistant Professor, Computer Science & Engineering, IIT Gandhinagar
I am an Assistant Professor in the Department of Computer Science & Engineering at IIT Gandhinagar, where I have been leading the Human–AI Interaction (HAIx) Lab since February 2023. My lab develops intelligent, transparent, and user-centric human-machine interaction systems - technologies that people can trust, understand, and use on their own terms. I hold a B.Tech. and M.Tech. in Information Technology from IIITM Gwalior (2010) and a PhD in Computer Science from Ulster University (2018).
Before joining IIT Gandhinagar, I was a Senior AI Software Development Engineer at the University of Essex (2021–2023), working on an Innovate UK-funded project with Mersea Homes Ltd. Prior to that, I was a Postdoctoral Research Officer at the FIT Lab, Swansea University (2018–2021), on the EPSRC-funded PV Interfaces project in collaboration with Google, DST Innovations Ltd, and IIT Bombay. Earlier, I was a Postdoctoral Research Associate at the School of Computing, Engineering, and Intelligent Systems, Ulster University (2017–2018), on a GCRF UKRI-funded project, and a Visiting Research Fellow at the Center for Mechatronics, IIT Kanpur (2015–2018), on the UK–India Education and Research Initiative (UKIERI) project.
My research spans two directions: (1) delivering intelligent technologies and systems, and (2) transforming community health and care. I develop hybrid-multimodal human-computer and brain-computer interfaces for rehabilitation and assistive use - supporting stroke survivors, people with neuromuscular impairments, and people with neurodevelopmental conditions - alongside accessible technologies for users in low- and middle-income countries: groups that mainstream technology too often overlooks.
Research Interests
- Human-Computer Interaction
- Brain-Computer Interface
- Eye-Tracking
- Motor Control and Rehabilitation
- Explainable & Human-Centred AI
- Accessibility & Assistive Technology
- User Experience and Usability
Publications
67
From Dyad to Triad: Eliciting XAI Requirements in Stroke Rehabilitation
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66
A Hybrid Gaze-Motor Imagery BCI Framework for Effective Decision Communication
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65
Towards simultaneous decoding of kinetic and kinematic movement parameters during grasp and lift task by non-invasive brain imaging
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64
Joint Tokenised–Continuous Representation Learning for Subject-Independent Grasp Force Decoding
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63
A Multi-Objective Optimisation Framework for Corticomuscular EEG-EMG Pair Selection in Hybrid BCI
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62
Autonext: Optimised Recurrent and Context-Aware Statistical Models for Predictive Text Input in Low-Resource Indic Languages
61
Towards Enhancing Visual Reasoning through Gaze-Semantic Alignment and Attention Correction
60
Designing Culturally Grounded Reflection Cards That Explore Self-Perception of Aging and Automated Recommendations with Older Adults in India
59
Human-centered explainable AI for brain-computer interface-driven rehabilitation
58
Operationalizing Self-Perceptions of Aging Using Reflection Probe and SPA Design Cards with HCI Practitioners
57
Evaluation of the Impact of Image Mutations on the Origin Classification of Digital Images
56
Unveiling Design Spaces to Integrate UI/UX with Data-Driven Approach for Advanced e-Health App
55
Designing for Self-Perception of Aging in Low-Resource Settings: Leveraging Reflection, AI, and Cultural Contexts in HCI
54
Muteract: Interactive and Iterative Prompt Mutation Interface for LLM Developers and Evaluators
53
Design and Evaluation of a Multimodal Elevator System with Gaze and Multilingual Voice Controls
52
Adaptive Text Inputs: Contextual Hint-Text Generation for Enhancing Mobile Apps Accessibility using Text-to-Text Transformer Language Models and Q-learning
51
Multimodal Appearance-based Gaze-Controlled Virtual Keyboard with Synchronous–Asynchronous Interaction for Low-Resource Settings
50
Improving Continuous Grasp Force Decoding from EEG with Time-Frequency Regressors and Premotor-Parietal Network Integration
49
SkeySpot: Automating Service Key Detection for Digital Electrical Layout Plans in the Construction Industry
48
47
Predictive Tree-based Virtual Keyboard for Improved Gaze Typing
46
Towards Effective Deep Neural Network Approach for Multi-Trial P300 Detection in Brain-Computer Interfaces
45
Post-Training Quantization in Brain-Computer Interfaces based on Event-Related Potential Detection
44
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification
43
Explainable Artificial Intelligence Approaches for Brain-Computer Interfaces: A Review and Design Space
42
CNN-O-ELMNet: Optimized Lightweight and Generalized Model for Lung Disease Classification and Severity Assessment
41
Quantifying Spatial Domain Explanations in BCI Using Earth Mover's Distance
40
Towards Optimising EEG Decoding using Post-hoc Explanations and Domain Knowledge
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Can EEG Resting State Data Benefit Data-Driven Approaches for Motor-Imagery Decoding?
37
An Automatic and Personalized Recommendation Modelling in Activity eCoaching with Deep Learning and Ontology
36
Multimodal Interaction and IoT Applications
35
Detection of Dyslexic Children Using Machine Learning and Multimodal Hindi Language Eye-Gaze Assisted Learning System
34
ProHealth eCoach: User-Centered Design and Development of an eCoach App to Promote Healthy Lifestyle with Personalized Activity Recommendations
33
Light-In-Light-Out (Li-Lo) Displays: Harvesting and Manipulating Light to Provide Novel Forms of Communication
32
Interactive Solar Cells: Will Hybrid Organic Photovoltaics Power the Internet of Things?
31
PV-Pix: Slum Community Co-design of Self-Powered Deformable Smart Messaging Materials
30
PViMat: A Self-Powered Portable and Rollable Large Area Gestural Interface Using Indoor Light
29
PV-Tiles: Towards Closely-Coupled Photovoltaic and Digital Materials for Useful, Beautiful and Sustainable Interactive Surfaces
28
SelfSustainableCHI: Self-Powered Sustainable Interfaces and Interactions
27
Photovoltaic Materials for the Design of Self-Powered Interfaces and Interactions using Shadow Detection
26
Perovskite Powered Internet of Things
25
Potential of Large Area Photovoltaic Sheets as Indoor Interactive Surfaces
24
Design and evaluation of a time adaptive multimodal virtual keyboard
23
Brain-Machine Interface Driven Post-stroke Upper-limb Functional Recovery Correlates with Beta-band Mediated Cortical Networks
22
An EEG-EMG Correlation-based Brain-Computer Interface for Hand Orthosis Supported Neuro-Rehabilitation
21
A Multiscript Gaze-based Assistive Virtual Keyboard
20
Towards Optimization of Gaze-Controlled Human-Computer Interaction: Application to Hindi Virtual Keyboard for Stroke Patients
19
Hand-Exoskeleton Assisted Progressive Neurorehabilitation using Impedance Adaptation based Challenge Level Adjustment Method
18
Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability
17
A Hindi Virtual Keyboard Interface with Multimodal Feedback: A Case Study with a Dyslexic Child
16
A Multimodal Virtual Keyboard Using Eye-Tracking and Hand Gesture Detection
15
Functional Whole-brain Connectivity using Magnetoencephalography to Identify the Neuro-biomarkers of Brain-machine Interface Driven Stroke Recovery
14
MEG Resting State Functional Connectivity Based Correlates of Brain-Machine Interface Driven Upper-limb Stroke Recovery
13
Online Covariate Shift Detection based Adaptive Brain-Computer Interface to Trigger Hand Exoskeleton Feedback for Neuro-Rehabilitation
12
A Multimodal Interface to Resolve the Midas-Touch Problem in Gaze Controlled Wheelchair
11
Hybrid Brain-Computer Interface for Effective Communication of Decisions
10
Combining Mental and Physical Practice Using Brain Computer Interface Driven Hand Exoskeleton for Personalized Post-Stroke Neuro-Rehabilitation
9
A Novel Multimodal Gaze-Controlled Hindi Virtual Keyboard for Disabled Users
8
EMOHEX: An Eye Tracker Based Mobility and Hand Exoskeleton Device for Assisting Disabled People
7
Powered Wheelchair Control with a Multimodal Interface Using Eye-Tracking and Soft-Switch
6
Towards Increasing the Number of Commands in a Hybrid Brain-Computer Interface with Combination of Gaze and Motor Imagery
5
Simultaneous Gaze and Motor Imagery Hybrid BCI Increases Single-Trial Detection Performance: A Compatible Incompatible Study
4
Exploring Gaze-Motor Imagery Hybrid Brain-Computer Interface Design
3
2
Distributed Multi-Tier Energy-Efficient Clustering
1
Classification using Redundant Mapping in Modular Neural Networks
Patents
3
Multimodal Elevator System with Gaze and Multilingual Voice Controls
202521122791
2
System for Augmentative and Alternative Communication for People with Severe Speech and Motor Disabilities
1
A System and Method for Optimizing Gaze-Controlled GUI for Human Computer Interface
Contact
- E-mail: yk.meena@iitgn.ac.in; [middlename][lastname][iiitm]@gmail.com
- Telephone: +91 (0) 79 2395 2609 (internal: 2609)
- Office: AB 13/401A
- Address: Indian Institute of Technology Gandhinagar, Palaj, Gandhinagar, Gujarat, 382055, India