// Research Impact Radar
Dr. Aashi's research breadth across 8 societal domains — scored by depth of contribution and citation density
// Citation by Research Domain
Which academic fields are citing Dr. Aashi's work most — based on Google Scholar & Scopus analysis
// Geographic Reach of Citations
Countries where Dr. Aashi's research is actively cited — demonstrating global academic influence
🏥
// Healthcare & Medicine
Saving Newborn Lives — Neonatal Jaundice Prediction
Dr. Aashi's ML model for neonatal mortality prediction achieves 91% accuracy, directly assisting doctors in resource-constrained hospitals across India and developing nations. Each correct prediction can mean the difference between life and death for a premature infant. Cited by 6+ healthcare AI papers globally.
91% Accuracy · 6+ Citing Papers
👁️
// Ophthalmology & Blindness Prevention
Fighting Diabetic Blindness — AI Retinopathy Detection
Diabetic retinopathy is the leading cause of preventable blindness globally. BigoEye's EfficientNet-B5 model detects DR at 95.2% accuracy with less than ₹100 per scan cost — making early diagnosis accessible to rural India's 77 million diabetics who cannot afford specialist visits. Cited in IEEE Access 2024.
95.2% Accuracy · Rural Healthcare Access
🔒
// Cybersecurity & Digital Safety
Protecting Organisations from Data Breaches
Dr. Aashi's 2022 paper on malicious attacks and data breach impact has 24 citations — the most cited work in her portfolio. Organizations worldwide use this research to quantify cyber-risk, justify security investments, and understand the financial cascade of breaches. Referenced in corporate security policies across 10+ countries.
24 Citations · Most Cited Work
🌊
// Environmental Monitoring & Marine Science
Cleaner Oceans — Underwater Image Enhancement for Marine Research
Oceanographers, marine biologists, and underwater ROV operators worldwide cite Dr. Aashi's multi-fusion underwater enhancement framework. The work enables clearer coral reef monitoring, species detection, and pollution tracking — contributing to UN Sustainable Development Goal 14 (Life Below Water). IEEE CSNT 2020, 3+ citations.
Marine Conservation · IEEE Published
🌾
// Agriculture & Food Security
Feeding Billions — Smart Agriculture & Crop Disease Detection
India loses 15–25% of crop yield annually to disease and suboptimal irrigation. Dr. Aashi's IoT-WSN agriculture research (ISCMCTR-2023) and plant/fruit disease detection models give small-scale farmers AI tools previously only available to industrial agribusiness. Directly supports SDG 2 (Zero Hunger).
SDG 2 — Zero Hunger · IoT Published
🏙️
// Smart Cities & Urban Safety
Securing Smart Cities — UAV + Blockchain Data Collection
As cities worldwide deploy IoT sensors and UAV networks, secure data pipelines are critical. Dr. Aashi's blockchain-enabled UAV smart city framework (Dec 2024) addresses data tampering, privacy, and security in urban infrastructure — directly applicable to India's 100 Smart Cities Mission and similar global programs.
Smart Cities Mission · 2024
🧠
// Mental Health & Student Wellbeing
Student Mental Health — Early ML Intervention
1 in 7 Indian students experience mental health issues, yet most go undetected. Dr. Aashi's Springer-published ML model predicts at-risk students at 87% accuracy from behavioural signals — enabling early counselling interventions before crisis. Cited in Springer LNCS 2024 and adopted by 2 universities for student welfare programs.
87% Accuracy · 2 Universities Adopted
💰
// Healthcare Economics
Hospital Resource Optimization — 18–22% Cost Savings
Hospital bed shortages cost lives. Dr. Aashi's Springer MTAP paper (12+ citations, Scopus Q1) predicts patient length-of-stay and mortality, enabling hospitals to optimise bed allocation. Demonstrated 18–22% cost reduction in pilot deployments — cited by healthcare analytics researchers across 8 countries.
12+ Citations · 18–22% Cost Saving
📱
// Education Technology & Employment
ResumeCraft — Democratizing Job Access for 10K+ Users
Millions of job-seekers lose opportunities not due to poor skills but because their resumes fail automated ATS filters. ResumeCraft's ML-powered platform achieves a 40% ATS score improvement, helping 10,000+ users — particularly first-generation graduates and rural students — compete in the job market on equal footing.
40% ATS Improvement · 10K+ Users
Technical Stack
C++
JavaScript / TypeScript
R
TensorFlow / Keras
PyTorch
OpenCV
HuggingFace
AWS (EC2/S3/SageMaker)
Azure ML
GCP AI
Docker
Kubernetes
React / Angular
Node.js
Django / Flask
FastAPI
GraphQL / REST APIs
MongoDB
PostgreSQL
Redis
Blockchain (Ethereum)
