Research
Published work
Peer-reviewed research on applied AI, computer vision and natural language.
- [1]
An AI-Driven Approach to Enhancing Plant Health: Real-Time Detection and Secure Data Integration
Core Focus: Proposes an AI system using Region-based Convolutional Neural Networks (RCNN) for real-time plant disease and pest detection via uploaded images. Key Features: Incorporates robust data encryption for security alongside multiple integrated AI models to deliver accurate diagnostics. Implementation: Details the full development lifecycle—including data sampling, model training, and system integration—to advance automated crop health monitoring.
Research publication · September 2024Read - [2]
Blockchain and Cloud Computing: Powering the Future of Digital Transformation
Core Focus: Explores the integration of blockchain technology and cloud computing to merge decentralized security with scalable infrastructure. Key Topics: Covers blockchain fundamentals, public/private network types, cloud architecture, technical integration protocols, and implementation challenges like privacy and latency. Practical Insights: Outlines best practices and includes a case study on the IBM Blockchain Platform to illustrate real-world, secure deployment.
Research publication · September 2024Read - [3]
Unleashing the power of (NLP): Automated Summarization and Question Answering
Static Code Analysis: Benchmark results identify SonarLint (for Java, C/C++) and Bandit (for Python) as top-performing tools for detecting early security vulnerabilities and code errors. NLP Applications: Empirical testing demonstrates the strong capabilities of SpaCy and Pegasus in advancing automated summarization and question-answering systems.
Research publication · 2024Read - [4]
Generative AI in Real Estate
An examination of generative model applications across real-estate valuation, listing generation and market analysis.
Research publication · September 2024Read - [5]
Resolution Revolution: Unleashing AI for Superior Image Quality
A luminance-first super-resolution architecture using Residual Dense Blocks on the Y channel of YUV, achieving high-quality upscaling at substantially reduced training cost versus RGB-based models.
Super Image Quality Enhancer — technical paper · 2024Read - [6]
Comparing source code analysis tools to detect security flaws and code vulnerabilities
Software applications face growing code issues like security vulnerabilities, syntax/semantic errors, and deadlocks. Early detection using static code analysis tools simplifies resolving these vulnerabilities during development. Empirical evaluation shows SonarLint is highly effective for Java/C++ and Bandit is superior for Python.
Research publication · Oct 2024Read - [7]
Emotion Deciphered: Unveiling the Tapestry of Textual Sentiment with NLP, ML and Cultural Context Integration
Sentiment analysis that treats cultural context as a first-class signal rather than noise, combining classical ML with NLP pipelines.
Research publication · 2024Read