Proceedings of the Conference on Bridging Engineering Disciplines with AI and Machine Learning (BEDAIML 2026)

111 authors
Agnihotri, Atul
Peer-Review Statements
Agrawal, Akansha
A Comprehensive Analysis of Machine Learning and Deep Learning Approaches in Detecting Plant Disease Diagnosis
Agrawal, Akansha
An Integrated Deep Learning Framework for Plant Disease Detection, Severity Analysis, and AI-Based Cure Recommendation
Agrawal, Yash
Sentiment Analysis of User Reviews for Swiggy and Zomato Using MHA-BiRCNN Model
Anand, Ishan
3D Concrete Printing of Structures: Mix Design with Partial Replacement of Sand with Raw Sewage Sludge
Arora, Yash Kumar
Cross-Platform Generalization in E-Commerce App Sentiment Analysis: A Large-Scale Comparative Study of Classical, Recurrent, and Transformer Architectures
Attri, Goldy
Implementation of Machine Learning and Deep Learning Techniques for Fake News Detection: A Novel Approach
Bahadur, Ram
Application of Machine Learning Techniques for Predicting the Compressive Strength of GGBS-Based Geo-polymer Mortar
Bansal, Divya
A Comparative Study of Machine Learning Approaches for Fraud Detection in Telecommunication Networks
Bansal, Divya
A Supervised Machine Learning Approach for Telecom Fraud Detection Using IPDR Data
Bhateja, Vidhi
Comparative Experimental Analysis of ML Based Surrogate Models for Predicting MR and PRR In WEDM of Shape Memory Alloys
Birgonda, Shreekanth
Advances and Future Trajectories of 3D Concrete Printing in the Construction Industry: A Systematic Review
Birgonda, Shreekanth
Application of Machine Learning Techniques for Predicting the Compressive Strength of GGBS-Based Geo-polymer Mortar
Birgonda, Shreekanth
Robotics and Automation in Precast Modular Housing: A Review of Technologies, Integration, and Challenges
Brar, Gurbinder Singh
Explainable and Fair AI-Based Models for Early Diabetes Risk Prediction: A Review
Dabra, Mamta
A Comparative Study of Machine Learning Approaches for Fraud Detection in Telecommunication Networks
Dabra, Mamta
A Supervised Machine Learning Approach for Telecom Fraud Detection Using IPDR Data
Dalla, Harpreet Singh
A Systematic Analysis and Taxonomy of Ethical AI Frameworks: Principles, Practices, and Future Directions
Dhakre, Vibhuti
FPGA Implementation of AES-256 Integrated with Block chain Framework for High-Security Data Applications
Ganesh, S.
3D Concrete Printing of Structures: Mix Design with Partial Replacement of Sand with Raw Sewage Sludge
Garg, Himanshu
Detecting Crop Maturity Stages from Field Images
Garg, Rachit
Federated Learning over Edge-Fog-Cloud Architectures for Distributed Intelligence
Gill, Harmandeep Singh
Intelligent Resume Screening from Resumes Using Hybrid Machine Learning Models
Gill, Jasmeen
Intelligent Resume Screening from Resumes Using Hybrid Machine Learning Models
Goyal, Saara
DiagniQ: An AI-Based Multi-Disease Prediction System Using Hybrid Machine Learning and Deep Learning Models
Gunjan, Gunjan
AI-Driven Smart Hydroponic Monitoring System for Water Quality and Disease Prediction
Gupta, Akansha
EDA-UNet++: EfficientNet-B4 Dual-Attention U-Net++ for Lesion-Wise DR Segmentation
Harivedi, Rrishabh Bhushan
A Comparative Study of Global and Local Damage Detection Techniques Used in Structural Health Monitoring of Civil Structures
Hiasaki, Yukiharu
Machine Learning Based ENSO Prediction Using Multivariate Ocean Atmosphere Data
Hiasaki, Yukiharu
PatchTSTSpike: A Patch-Based Transformer Framework for Cloudburst-Like Extreme Rainfall Detection Using ERA5 Reanalysis
Jain, Siddharth
Zero-Shot LLM Sentiment and Reasoning Feature Extraction for Stock Market Prediction: A Multi-Stock XGBoost Framework with SHAP Explainability
Jangra, Prince
Aligno: A Model Context Protocol Enabled Collaborative Ecosystem for Agentic Project Management
Jha, Durganand
Clustered Personalized Federated Crop Mapping for Sentinel-2 Crop-Type Time Series
Kaur, Amandeep
Clustered Personalized Federated Crop Mapping for Sentinel-2 Crop-Type Time Series
Kaur, Amitoj
An Explainable Deep Learning Framework for Robust Deepfake Detection in Video Streams
Kaur, Kamalpreet
Zero-Shot LLM Sentiment and Reasoning Feature Extraction for Stock Market Prediction: A Multi-Stock XGBoost Framework with SHAP Explainability
Kaur, Kamalpreet
Explainable and Fair AI-Based Models for Early Diabetes Risk Prediction: A Review
Kaur, Mandeep
Intelligent Brain Tumor Diagnosis from MRI Images via Transfer Learning and Advance Feature Optimization Techniques
Kaur, Prabhjot
Intelligent Resume Screening from Resumes Using Hybrid Machine Learning Models
Kaur, Satnam
A Comparative Study of Machine Learning Approaches for Fraud Detection in Telecommunication Networks
Kaur, Satnam
A Supervised Machine Learning Approach for Telecom Fraud Detection Using IPDR Data
Kavita, Kavita
Explainable and Fair AI-Based Models for Early Diabetes Risk Prediction: A Review
Kawade, Bharati
Data Analytics and Machine Learning Applications for Enhancing Strategic Decision-Making in Higher Education
Khanna, Vishal
Early Disease Prediction Using Artificial Intelligence
Kotnala, Aditya
Aligno: A Model Context Protocol Enabled Collaborative Ecosystem for Agentic Project Management
Kumar, Ajay
Peer-Review Statements
Kumar, Ajay
A Comparative Study of Global and Local Damage Detection Techniques Used in Structural Health Monitoring of Civil Structures
Kumar, Ajay
Advances and Future Trajectories of 3D Concrete Printing in the Construction Industry: A Systematic Review
Kumar, Ajay
Application of Machine Learning Techniques for Predicting the Compressive Strength of GGBS-Based Geo-polymer Mortar
Kumar, Ajay
Hybrid Taguchi- Machine Learning Based Optimization of Face Milling Parameters to Enhance Material Removal Rate of EN8 Steel
Kumar, Ajay
Robotics and Automation in Precast Modular Housing: A Review of Technologies, Integration, and Challenges
Kumar, Ajay
Seismic Analysis of Concrete Gravity Dam considering Massless Foundation
Kumar, Ankit
PatchTSTSpike: A Patch-Based Transformer Framework for Cloudburst-Like Extreme Rainfall Detection Using ERA5 Reanalysis
Kumar, Arun
Application of Machine Learning Techniques for Predicting the Compressive Strength of GGBS-Based Geo-polymer Mortar
Kumar, Pankaj
A Comparative Study of Global and Local Damage Detection Techniques Used in Structural Health Monitoring of Civil Structures
Kumar, Prashant
Machine Learning Based ENSO Prediction Using Multivariate Ocean Atmosphere Data
Kumar, Prashant
PatchTSTSpike: A Patch-Based Transformer Framework for Cloudburst-Like Extreme Rainfall Detection Using ERA5 Reanalysis
Kumari, Priyanka
AI-Driven Smart Hydroponic Monitoring System for Water Quality and Disease Prediction
Maharatha, Dibyadarshini
Machine Learning Based ENSO Prediction Using Multivariate Ocean Atmosphere Data
Maheshwari, Aastha
DiagniQ: An AI-Based Multi-Disease Prediction System Using Hybrid Machine Learning and Deep Learning Models
Malhotra, Jyoteesh
Machine Learning Based Early Power and Area Prediction for VLSI Circuits Using Regression Modelling
Mandloi, Aditya
FPGA Implementation of AES-256 Integrated with Block chain Framework for High-Security Data Applications
Mishra, Adarsh Kumar
Implementation of Machine Learning and Deep Learning Techniques for Fake News Detection: A Novel Approach
Mishra, Rajiv Kumar
DiagniQ: An AI-Based Multi-Disease Prediction System Using Hybrid Machine Learning and Deep Learning Models
Pal, Rupesh
Comparative Analysis of Multi-Objective Metaheuristic Algorithms for UAV Path Planning in Complex 3D Environments
Pandey, Ayush
Detecting Crop Maturity Stages from Field Images
Pandey, Tanmay
Advances and Future Trajectories of 3D Concrete Printing in the Construction Industry: A Systematic Review
Pinky, Pinky
Comparative Analysis of Multi-Objective Metaheuristic Algorithms for UAV Path Planning in Complex 3D Environments
Rajni, Rajni
Machine Learning Based ENSO Prediction Using Multivariate Ocean Atmosphere Data
Rajni, Rajni
PatchTSTSpike: A Patch-Based Transformer Framework for Cloudburst-Like Extreme Rainfall Detection Using ERA5 Reanalysis
Rattan, Sonal
A Systematic Analysis and Taxonomy of Ethical AI Frameworks: Principles, Practices, and Future Directions
Rawat, Arjun Singh
AI-Driven Smart Hydroponic Monitoring System for Water Quality and Disease Prediction
Rawat, Arjun Singh
EDA-UNet++: EfficientNet-B4 Dual-Attention U-Net++ for Lesion-Wise DR Segmentation
Rawat, Ayush
Aligno: A Model Context Protocol Enabled Collaborative Ecosystem for Agentic Project Management
Rehani, Gunjan
EDA-UNet++: EfficientNet-B4 Dual-Attention U-Net++ for Lesion-Wise DR Segmentation
Sachan, Abhishek Pratap Singh
Hybrid Taguchi- Machine Learning Based Optimization of Face Milling Parameters to Enhance Material Removal Rate of EN8 Steel
Sandhu, Prince Karndeep Singh
Peer-Review Statements
Shairy, Shairy
Federated Learning over Edge-Fog-Cloud Architectures for Distributed Intelligence
Sharma, Ankit
Implementation of Machine Learning and Deep Learning Techniques for Fake News Detection: A Novel Approach
Sharma, Arindam
Aligno: A Model Context Protocol Enabled Collaborative Ecosystem for Agentic Project Management
Sharma, Divya
A Comparative Study of Machine Learning Approaches for Fraud Detection in Telecommunication Networks
Sharma, Divya
A Supervised Machine Learning Approach for Telecom Fraud Detection Using IPDR Data
Sharma, Shivangi
An Explainable Deep Learning Framework for Robust Deepfake Detection in Video Streams
Shrivastava, Ritul
Machine Learning Based Early Power and Area Prediction for VLSI Circuits Using Regression Modelling
Sikka, Geeta
Sentiment Analysis of User Reviews for Swiggy and Zomato Using MHA-BiRCNN Model
Siligisetti, Durga Parvateesh
Robotics and Automation in Precast Modular Housing: A Review of Technologies, Integration, and Challenges
Singh, Akshay
Cross-Platform Generalization in E-Commerce App Sentiment Analysis: A Large-Scale Comparative Study of Classical, Recurrent, and Transformer Architectures
Singh, Amandeep
Explainable and Fair AI-Based Models for Early Diabetes Risk Prediction: A Review
Singh, Aniket Pratap
Detecting Crop Maturity Stages from Field Images
Singh, Jasjeevan
Hybrid Taguchi- Machine Learning Based Optimization of Face Milling Parameters to Enhance Material Removal Rate of EN8 Steel
Singh, Jastej
Intelligent Brain Tumor Diagnosis from MRI Images via Transfer Learning and Advance Feature Optimization Techniques
Singh, Jobanpreet
Detecting Crop Maturity Stages from Field Images
Singh, Jobanpreet
Intelligent Brain Tumor Diagnosis from MRI Images via Transfer Learning and Advance Feature Optimization Techniques
Singh, Kamaljeet
Hybrid Taguchi- Machine Learning Based Optimization of Face Milling Parameters to Enhance Material Removal Rate of EN8 Steel
Singh, Kshatrapal
Aligno: A Model Context Protocol Enabled Collaborative Ecosystem for Agentic Project Management
Singh, Kshatrapal
Implementation of Machine Learning and Deep Learning Techniques for Fake News Detection: A Novel Approach
Singhal, Tarun
Seismic Analysis of Concrete Gravity Dam considering Massless Foundation
Sohal, Harwinder Singh
Early Disease Prediction Using Artificial Intelligence
Soni, Hargovind
Comparative Experimental Analysis of ML Based Surrogate Models for Predicting MR and PRR In WEDM of Shape Memory Alloys
Srivastava, Varun
DiagniQ: An AI-Based Multi-Disease Prediction System Using Hybrid Machine Learning and Deep Learning Models