Greeshma Sharma
Associate Professor, School of Design
greeshma.s@rishihood.edu.in
About
Dr. Greeshma Sharma is an Associate Professor at the School of Design, Rishihood University, with expertise in cognitive neuroscience, human factors, and immersive media. Her work integrates neurophysiological methods, UX research, and design pedagogy across academia, government, and industry, focusing on evidence-based design, digital wellbeing, and emerging technologies in education and human–machine interaction.
Work Experience
1. Associate Professor, School of Design, Rishihood University
2. Visiting Faculty IIT Delhi
3. Visiting Faculty NID Haryana
4. Principal Project Scientist UX Lab, DoD, IIT Delhi (2023 -2025)
5. Senior UX Consultant May 2024 – Dec 2024 BIASINC
6. Adjunct Engineer CDAC – Delhi (2022 - 2023)
7. Consultant (Neurophysiological Expert) STREAM project (Scalable TRansdiagnostic Early Assessment of Mental Health) SANGATH, Harvard University, and University of Reading, UK (2022)
Education
B.Tech, Converging Technologies (Cognitive & Neuroscience)
M.Tech in Converging Technologies
Cognitive Neuroscience
University of Rajasthan (2011)
University of Rajasthan (2012)
Delhi University (2018)
Research Areas
User Research, Digital Wellbeing, NeuroDesign, Cognitive Ergonomics, AI and UX
Publications
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11.
Awards & Recognitions
Impact Fellow and MBA Scholar, GGI – 2023
Second Prize, GGI Startup Weekend – 2023
Second Prize, Biotech-Brainstorm (All India Biotech Project Contest) – 2010 Proposal: “Contact lenses that change color to inform diabetes about blood sugar levels using silver nanoparticles”
Others
Impact Assessment for AR-based Curriculum in Anganwadi Centres (3–6 years)
Funded by CSC (Ongoing)
Development of pedagogical tools, curriculum, and assessment methods across five Indian states (MP, UP, Chhattisgarh, Jharkhand, Haryana).Development of Competency Learning Model for AI-enabled Learning Management System
Funded by CSC (Ongoing)
Design of an AI-enhanced, competency-based LMS for academic and job-related skill development.
Neurophysiological-based Usability Testing of Electric Two-Wheelers
Funded by Hero MotoCorp (Ongoing)
EEG and eye-tracking–based evaluation of rider behavior and interface safety.
Impact Assessment of Digital Village Initiative
Funded by MeitY (Completed)
Large-scale socio-ecological impact evaluation across 70 villages using adoption and diffusion models.
Cognitive Load Assessment of Infotainment Keyboard Accessibility While Driving
Funded by Maruti Suzuki India Ltd. (Completed)
EEG, eye-tracking, and GSR-based evaluation of infotainment interfaces under real driving conditions.
Impact Assessment Study of USHA Silai School Program
Funded by USHA International Ltd. (Completed)
Social and financial ROI analysis involving 13,000+ stakeholders.
Development of Preschool Curriculum (3–6 years) for CSC-BV Centres (PAN India)
Funded by CSC
Curriculum design, psychometric evaluation, and cognitive testing for 20,000 preschoolers.
Development of Digital Media and Design (DMD) Curriculum for Classes IX–XII
Funded by Delhi Government (DBSE)
Curriculum, assessment rubrics, and learning outcomes for 11 Delhi government schools.
CDAC – Delhi (Technical Lead, NeuroXR Group)
Brain–Machine Interface Enabled Assistive System for Children with Special Needs
Funded by MeitY (2022–2025)
Multi-Modal Neurophysiological Framework for Behaviour Analysis and Lie Detection
Funded by MeitY (2022–2024)
Development of interview protocols, verbal cue models, and cognitive lie tests.
IIT Delhi (Post-Doctoral Projects)
Impact Assessment of Atal Tinkering Lab (ATL)
Funded by IBM (2022)
Mixed-method evaluation involving principals, teachers, students, mentors, and NGOs.
Neurocognitive Model for Cognitive Workload in Language Translation
Funded by eBhashaSetu
EEG and eye-tracking–based workload modelling for interpreters.
Entrepreneurial Competency Scale for Village Level Entrepreneurs
Funded by CSC
Development of psychometric scale for service providers.
DRDO – INMAS Lab (Research Scholar)
Human–Machine Teaming for Defence Systems
Funded by Ministry of Defence (Completed)
VR & CBRNE Training Systems
Funded by Ministry of Defence (Completed)
Cognitive Tools for Automated Target Detection
Funded by Ministry of Defence (Completed)
Vision Research Using VR/AR and 360° Sensor Systems
Funded by Ministry of Defence (Completed)
Neurocognitive Disorder Assessment in Defence Forces Using Non-Invasive Imaging
Funded by Ministry of Defence (Completed)
