Publications
Research & Innovation Output Distribution
Research Timeline & Citation Growth (2022–2026)
Hover or click year points to track publication counts and citation index progress.
2026 Research Footprint
Concluded high-resolution generative data augmentation frameworks. Received UGC Malaviya Mission Faculty Orientation Grade A+.
Annual Output Highlights:
Research & Patents
Automated Sensor-Driven Smart Mirror Cleaning and Anti-Fog Maintenance System
Duggar, R., A. Vashist, S. Sonal, V. Rastogi, S. K. Shivandu
Indian Patent (Published)
Technical Abstract / Details
A sensor-driven automated smart mirror maintenance system designed to prevent condensation and residue accumulation. The system utilizes real-time humidity, temperature, and optical clarity sensors to activate embedded micro-heating grids and mechanical wiping systems, maintaining mirror clarity under high-humidity conditions without manual intervention.
AI-Enhanced Multi-Sensor Wearable Watch for Real-Time Emotion Recognition and Personalized User Feed
Duggar, R., A. Vashist, S. Sonal, V. Rastogi, S. K. Shivandu
Indian Patent (Published)
Technical Abstract / Details
An AI-powered wearable multi-sensor smartwatch that performs real-time emotion recognition by analyzing biometrics such as heart rate variability (HRV), galvanic skin response (GSR), and skin temperature. Edge-based machine learning classifiers determine affective states and transmit signals to customize personalized user content feeds, music recommendations, or cognitive exercises.
Temperature-Adjustable Laptop Skin: Smart Polymer Nanocomposite-Based Adaptive Thermal Control Layer
Duggar, R., A. Vashist, S. Sonal, V. Rastogi, S. K. Shivandu
Indian Patent (Published)
Technical Abstract / Details
This patent discloses a temperature-adjustable laptop skin comprising an adaptive thermal control layer built from smart polymer nanocomposites. The system dynamically responds to heat signatures of laptop casings, altering its thermal conductivity and structural composition to cool electronic surfaces efficiently without additional electrical power.
Modular Furniture System
Duggar, R., A. Vashist, S. Sonal, V. Rastogi, S. K. Shivandu
Indian Patent (Published)
Technical Abstract / Details
An architectural modular furniture framework that incorporates embedded dynamic joints and load-balancing pivot structures, allowing effortless, customized manual reconfigurations by users while maintaining absolute structural integrity under high stress.
Universal Digital Key Ring
Duggar, R., A. Vashist, S. Sonal, V. Rastogi, S. K. Shivandu
Indian Patent (Published)
Technical Abstract / Details
This invention represents a hardware-backed cryptographically secure smart key ring designed to store, manage, and execute physical-digital lock handshake protocols. Integrates hardware BLE transmitters and multi-factor validation modules directly inside a durable key ring body.
Inhaler with AI-Based Real-Time Feedback and Respiratory Condition Prediction System
Duggar, R., A. Vashist, S. Sonal, V. Rastogi, N. Arora, S. Sharma, S. K. Shivandu
Indian Patent (Published)
Technical Abstract / Details
Introduces a clinical-IoT medical inhaler that measures acoustic properties and pressure shifts during inhalation, utilizing local edge micro-controllers to give real-time auditory feedback to patients. The integrated mobile app runs predictive AI models forecasting severe respiratory events based on historical usage.
Decentralized Password Management System
Duggar, R., A. Vashist, S. Sonal, V. Rastogi, N. Arora, S. Sharma, S. K. Shivandu
Indian Patent (Published)
Technical Abstract / Details
A distributed password storage vault that bypasses centralized databases. It segments security credentials across multiple blockchain ledger instances, verifying access through zero-knowledge proof cryptography to prevent decryption or data theft.
Crucial Role of Blockchain in Quantum Computing: Enhancing Security and Trust
Duggar, R., N. E. ElSayed
Book Chapter (International Publisher – De Gruyter)
Technical Abstract / Details
This book chapter examines the security vulnerabilities introduced in the quantum computing paradigm and demonstrates how distributed blockchain ledgers can act as trusted validators. Specifically, we investigate quantum-resistant cryptography, secure state validation, and decentralized consensus algorithms to safeguard network security against early quantum computing exploits.
Advanced Real-Time Simulation Framework for the Physical Interaction Dynamics of Production Lines Leveraging Digital Twin Paradigms
Bhati, N., Vyas, N., Dutt, V., Duggar, R., Pokhriyal, A.
Wiley Online Library (Book Chapter)
Technical Abstract / Details
This chapter presents an enterprise real-time simulation blueprint utilizing Digital Twins to simulate production line dynamics. By constructing virtual avatars of physical robotic arms and belts, and syncing them through low-latency telemetry pipelines, the framework yields highly accurate predictive physical stress analysis and failure-mode profiling.
Exploring Few-Shot Learning Approaches for Bioinformatics Advancements
Bhati, N., R. Duggar, A. Alzahrani
IGI Global (Book Chapter)
Technical Abstract / Details
This chapter explores few-shot meta-learning networks to address data-sparsity constraints in clinical gene classification and bio-informatics. We prove that using prototypical networks pre-trained on generic biological sequence vectors allows quick adaptation to novel rare disease patterns with fewer than 5 sample points.
Empowering Safety by Embracing IoT for Leak Detection Excellence
Bhati, N., R. Duggar, A. Saber
IGI Global (Book Chapter)
Technical Abstract / Details
Highlights how integrated micro-sensors (measuring flow humidity and acoustics) linked via LoRaWAN gateways provide real-time fluid leak detection across large municipal water infrastructure grids, deploying low-power machine learning on the edge node for leak classification.
A Machine Learning Framework for Accurate Prediction of Parkinson’s Disease from Speech Data
Burri, S. R., D. K. Agarwal, N. Vyas, R. Duggar
Proc. 2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT)
Technical Abstract / Details
This paper establishes a speech analysis diagnostics framework for early stage Parkinson’s disease. By analyzing vocal frequencies and calculating jitters/shimmers from phone-recorded speech, our random forest and XGBoost models achieved over 91% validation accuracy in identifying Parkinson’s signatures.
Exploring the Potential of Deep Reinforcement Learning for Autonomous Navigation in Complex Environments
Burugadda, V. R., N. Jadhav, N. Vyas, R. Duggar
Proc. 2023 7th International Conference on Computing, Communication, Control and Automation (ICCUBEA)
Technical Abstract / Details
Investigates double-deep Q networks (DDQN) for autonomous drone path navigation. Tested inside dense environments with physical obstacles, the agent utilizes synthetic LiDAR scans to formulate real-time velocity vector changes, significantly reducing collision rates compared to standard A* algorithms.
Optimizing Irrigation Efficiency with IoT and Machine Learning: A Transfer Learning Approach for Accurate Soil Moisture Prediction
Burri, S. R., D. K. Agarwal, N. Vyas, R. Duggar
Proc. 2023 World Conference on Communication & Computing (WCONF)
Technical Abstract / Details
Combines soil humidity sensors and local weather telemetry to predict short-term irrigation needs. By deploying Transfer Learning models trained on generic agricultural contexts, the local soil prediction adaptively matches specific localized crops with less than 24 hours of local training data.
Intelligent Healthcare: Using NLP and ML to Power Chatbots for Improved Assistance
R. Punugoti, Duggar, R., R. R. Dhargalkar, N. Bhati
Proc. 2023 International Conference on IoT, Communication and Automation Technology (ICICAT)
Technical Abstract / Details
Proposes an NLP dialog tree model matching patient symptom text to specific diagnostic recommendations. Using text classification and intent parsers, the system guides users to appropriate clinical departments, reducing patient triage queues.