ICMLBDCC 2025

International Conference on Machine Learning, Big Data Management, Cloud, and Computing

Hosted by

Vishwakarma Institute of Technology, Pune

About the Conference

ICMLBDCC 2025 brings together leading academicians, researchers, and industry experts to explore the latest advancements, trends, and challenges in Machine Learning, Big Data Management, Cloud Technologies, and Computational Systems.

Machine Learning & AI

Deep Learning & Neural Networks
Reinforcement Learning
AI Ethics and Interpretability
NLP & Computer Vision

Big Data Management

Data Lakes & Warehousing
Real-time Analytics
Data Governance & Privacy
Scalable Storage Systems

Cloud Computing

Multi-Cloud Architecture
Cloud Security
Serverless Computing
Cloud-Native Applications

Computational Systems

Edge Computing
IoT Integration
Distributed Systems
High-Performance Computing

AI/ML Researchers and Scholars

Cloud & Data Engineers

IT Professionals and Data Analysts

Graduate Students in CS, IT, and related fields

Industry Innovators and Startups in Tech

Featured Speakers

Learn from leading experts and innovators in AI, ML, Big Data, and Cloud Computing

Keynote Speaker Dr. Shreenivas Londhe
10:30 AM - 11:00 AM EST

Session A

11:00 AM – 2:00 PM EST

Dwaraka Nath Kummari

AI-Driven Integrity: Transforming Compliance and Manufacturing Excellence Through Smart Infrastructure

Alejandro

Enhancing Deep Neural Networks Using Hybrid Attention-Based Optimization

Lakshminarayana Reddy Kothapalli Sondanti

Smarter Finance: Harnessing AI and ML to Revolutionize Payments and Financial Services

Sofia

A Federated Learning Framework for Privacy-Preserving Healthcare Analytics

Mahesh Recharla

Advancing Biomedical Frontiers: Integrated Research on Alzheimer’s, Kidney Disease, Postpartum Depression, Spinal Muscular Atrophy, and Bio Gen Innovations

Hiroshi

Explainable AI Models for Real-Time Decision Support Systems

Raviteja Meda

AI-Driven Supply Chain Optimization in Retail and Paint Manufacturing: Leveraging Machine Learning for Smarter Logistics

Isabella

Reinforcement Learning Approaches for Autonomous Edge Devices

Goutham Kumar Sheelam

Agentic AI and Intelligent Wireless Systems: Advancing Semiconductors and Telecommunications with AI/ML Integration

Aisha

Lightweight ML Models for Resource-Constrained IoT Environments

Rama Chandra Rao Nampalli

Intelligent Automotive Manufacturing in Railways: Advancing Precision Engineering and Smart Mobility Integration

Dimitri

High-Performance Data Pipelines for Large-Scale Distributed Systems

Venkata Krishna Azith Teja Ganti

Revolutionizing Healthcare with AI and Big Data: A New Era of Predictive and Personalized Medicine

Elena

Real-Time Anomaly Detection in Massive Streaming Data

Bharath Somu

Agentic AI in Banking: Redefining Infrastructure Services with Intelligent Autonomy

Prof. Diego Santoro

Cross-Cloud Optimization: A Deep Reinforcement Learning Approach

Someshwar Mahestty

AI-Powered Analytics in Mortgage-Backed Securities: Transforming Single-Family Mortgage Financing and Risk Management

Omar

Graph-Based Big Data Analytics for Social Network Insights

Srinivas Kalisetty

Cognitive Supply Networks: Leveraging AI and Cloud Intelligence for Retail and Manufacturing Optimization

Fatima

A Scalable Metadata Management System for Heterogeneous Data Lakes

Ramesh Inala

AI-Driven Financial Intelligence: Revolu tionizing Services through Predictive Analytics and Adaptive Automation

Carlos

Optimizing Query Processing in Multi-Model Big Data Platforms

Vamsee Pamisetty

Intelligent Fiscal Ecosystems: Leveraging AI, Big Data, and Cloud Integration for Next-Gen Taxation and Government Financial Management

Nadia

Cost-Efficient Cloud Resource Allocation via Predictive Algorithms

Session B

11:00 AM – 2:00 PM EST

Kiran Kumar Maguluri

Prescribing Intelligence: Redefining Healthcare Delivery through Adaptive AI Systems

Akira

Federated Continual Learning over Volatile Edge Clouds for Privacy-Preserving Analytics

Srinivasa Rao Challa

AI-Powered Finance: Transforming Wealth Management with Big Data, Cloud, and Machine Learning

Camila

Topology-Aware Sharding for Large-Scale Graph Neural Networks in Multi-Cloud Environments

Botlagunta Preethish Nandan

Integrating AI with Semiconductor Testing: A Data-Driven Approach to Improving Chip Performance and Reliability

Diego

Cost-Aware AutoML: Jointly Optimizing Accuracy and Cloud Expenditure for Big Data Pipelines

Tulasi Naga Subhash Polineni

AI in Healthcare: Revolutionizing Diagnosis, Treatment, and Patient Care

Ingrid

Self-Healing Data Lakes: Anomaly-Driven Schema Evolution for Petabyte-Scale Warehouses

Chandrashekar Pandugula

Intelligent Healing: The Convergence of AI Healthcare and Smart Data Centers

Viktor

GreenCloudML: Carbon-Aware Job Scheduling for Large Language Models in Geo-Distributed Data Centers

Venkata Bharadwaj Komaragiri

Intelligent Telecom Infrastructure: AI-Powered Security, Scalability, and Network Optimization in the Cloud Era

Amara

Adaptive Concept Drift Detection in Streaming Data Using Hierarchical Meta-Learners on the Cloud

Jai Kiran Reddy Burugulla

Transforming Financial Transactions: The Role of AI in Payment Systems

Dr. Sophia Mbaye

TrustLessML: Verifiable Machine Learning Inference over Untrusted Cloud Providers Using Lightweight Proofs

Sathya Kannan

Intelligent AgriTech Ecosystems: AI-Powered Cloud and Data Engineering Solutions for Next-Gen Agricultural Equipment and Beyond

Prof. Isabella Monteiro

Dynamic Knowledge Distillation for Edge–Cloud Collaborative Inference in Smart Cities

Ravi Kumar Vankayalpati

AI-Driven Cloud Computing and Data Centers: Shaping the Future of Intelligent Infrastructure

Santiago

Data-Centric Reinforcement Learning for Autonomous Resource Scaling in Kubernetes Clusters

Lahari Pandiri

Smart Insurance Ecosystems: AI-Driven Personal, Commercial, and Specialty Coverage for a Connected World

Yuki

Privacy-Preserving Synthetic Tabular Data Generation Using Diffusion Models on Federated Logs

Zakera Yasmeen

AI-Powered Big Data Analytics in Healthcare: Opportunities and Ethical Challenges

Paolo

Latency-Bounded Graph Processing: Hybrid In-Memory and Cloud Storage for Real-Time Social Analytics

Hara Krishna Reddy Koppolu

Enhancing Customer Experiences Across Telecom, Media, Cable, and Healthcare through Data Engineering, Analytics, and 5G Services

Amina

Auto-Partitioning Transformers: Big Model Training with Data and Pipeline Parallelism in Heterogeneous Clouds

Conference Schedule

June 7, 2025 – All times in EST

10:30 AM - 11:00 AM EST

Keynote Address

Speaker: Dr. Shreenivas Londhe

11:00 AM - 2:00 PM EST

Session A

Parallel session covering AI, ML, Big Data, and Cloud topics

11:00 AM - 2:00 PM EST

Session B