/publications
RESEARCH
PUBLICATIONS
Peer-reviewed research across Machine Learning, Computer Vision, AI Systems, and Robotics.
8
Publications
27+
Citations
4
Venues
6+
Years
Integrating AG-IoT for Advanced Robotics of Automation
Systemic Analytics
Mursal Furqan Kumbhar
Explores the intersection of Artificial General Intelligence and IoT to optimize autonomous robotic systems within industrial automation frameworks.
Soft Computing and Its Engineering Applications
Springer Nature | icSoftComp 2024, Bangkok
Mursal Furqan Kumbhar
Selected for publication in the Revised Selected Papers for icSoftComp 2024, contributing to global discourse on advanced soft computing methodologies and engineering applications.
Image Denoising Using Autoencoders
CRC Press | Artificial Intelligence & Knowledge Processing
Mursal Furqan Kumbhar
Researched and implemented Deep Learning Autoencoders to improve image clarity and data integrity in computer vision pipelines. Develops a framework for noise reduction applicable to medical and industrial imaging.
An Efficient Approach for User Profiling Through Social Media Analytics
Thesis | Mehran UET
Mursal Furqan Kumbhar, Hiba Rajput
Proposes an efficient machine learning approach for building user profiles from social media data, with applications in personalization, security, and behavioral analytics.
Heart Disease Prediction using Machine Learning Algorithms
IEEE | Smart Gen Computing (INCCST'20)
Mursal Furqan Kumbhar, Hiba Rajput, Sanam Narejo, Adnan Ashraf, Kanwal Awan
Engineered a high-accuracy predictive model achieving 87.88% accuracy for cardiovascular risk assessment using multi-variate clinical data. Presented at the International Conference on Smart Generation Computing.
PIA Accidents Analysis Using Naïve Bayes Classifier
INCCST'20 | Mehran UET
Jamsher Bhanbhro, Faiez Yousuf, Sanam Narejo, Mursal Furqan Kumbhar
Applies Naïve Bayes classification to analyze historical PIA aviation accident data, identifying key risk factors and patterns to support aviation safety improvements.
Detecting and Relieving Anxiety On-The-Go Using Machine Learning Techniques
Research Poster
Mursal Furqan Kumbhar, Zonera Aleem
Presents an ML-based mobile approach for real-time anxiety detection and relief using physiological and behavioral markers, with on-device inference for privacy-preserving diagnostics.
Industrial Robotic Claw for Cottage Industries
ICCME | iCoMET'19, Sukkur IBA
Mursal Furqan Kumbhar, Mahaveer Rathi
Designed and built an automated robotic interface specifically for small-scale cottage industries, democratizing industrial automation for resource-constrained environments.
For the most up-to-date list of publications and citations, visit my ResearchGate profile or Google Scholar.