Special Sessions
Special Session Organization is highly encouraged. The goal of these special sessions is to provide a forum for focused discussions on new topics or innovative applications of established approaches within the theme of the conference. The theme of the conference is given up. Each organized special session should have a minimum of 10 registered papers. The session organizers have full authority in soliciting and accepting papers for the session. Each session is limited to no more than 4 organizers and the session organizer can designate a chair and a co-chair for the session. The allocated presentation time for each paper is 15 minutes which includes the time for questions from the audience.
An Honorarium of 10% of the total registration amount collected for the registered paper in that special session will be provided to the session organizer (please note that a minimum of 10 papers should be registered and presented (either online or offline) to run a special session).
Please submit your special session proposals by email to the conference chairs at chaireamcon@gmail.com or at +918050362729. The proposals should include:
- Special Session Title
 - A short description (2-3 lines) & covered topics
 - Session organizer(s) with their affiliation
 
All the special session proposals will be reviewed by conference organizers and TPC chairs and the accepted proposal will be notified to the organizers within one week from the submission date. Once the proposal is accepted it will appear under this tab with the special session name and their organizer The last date to receive proposal for special session is 27th June, 2025.
Important Notes
- A dedicated track will be created in CMT for submission of paper in each special session. Special Session organizers are requested to communicate the same to their authors while doing publicity for their session.
 - If for a special session, the number of received papers is less than 10, then all those papers in that special session will be considered as a regular submission.
 
Title: Synergizing Artificial Intelligence and ESG for Future-Ready Business Transformation
Call for Papers for the topics mentioned below :
- AI-Enhanced ESG Scoring Systems for Investment Decision-Making
 - Ethical AI in Corporate Governance and Strategic ESG Alignment
 - AI-Powered Consumer Behavior Analysis for Sustainable Branding
 - Sustainable Supply Chains through AI-Driven Transparency and Traceability
 - Bias-Free AI in Recruitment and Inclusive Workforce Development
 - AI-Driven Risk Management Models for ESG Compliance and Forecasting
 - AI Applications in Circular Economy and Sustainable Operations
 - Real-Time ESG Crisis Detection and AI-Based Communication Strategies
 - AI-Augmented Leadership and Organizational Culture for ESG Integration
 - Transformative leadership development powered by AI to support ESG culture change.
 - Collaborative Innovation Platforms for AI and ESG Ecosystem Development
 
Session organizer(s)
- Prof. (Dr.) Loveleen Gaur
Director & Professor, Symbiosis Artificial Intelligence Institute (SAII), Symbiosis International (Deemed) University, Pune, India - Prof. Noorliza Md Noordin
London School of Business and Finance, LSBF Malaysia Campus
Malaysia Ir. Dr. Malathy Batumalay
Professor, INTI International University, MalaysiaDr. Ni Kadek Suryani
IDB – Bali Institute of Design and Business, IndonesiaDr. Udit Mamodiya
Poornima University, Jaipur, Rajasthan, IndiaNithesh Naik
Manipal Academy of Higher Education, Manipal, India
nithesh.naik@manipal.edu
Title: Engineering Data Analytics and Management: Models, Tools, and Applications
Call for Papers for the topics mentioned below:
- Engineering data processing pipelines and platforms
 - Predictive Analytics in Healthcare
 - Machine learning and AI in engineering applications
 - Digital twin models and real-time data integration
 - Big data storage and management in engineering systems
 - Semantic data modelling and engineering ontologies
 - IoT and sensor data fusion in industrial systems
 - Secure and privacy-preserving engineering data solutions
 - Visualization and interactive analytics in engineering workflows
 - Cloud, edge, and hybrid computing for engineering analytics
 - Data Analytics for Human Resource Management.
 - AI & Analytics in Supply Chain and Logistics.
 - Data Analytics in civil, mechanical, electrical, aerospace, and energy engineering
 
Session organizer(s)
- Dr. S Sudheer Mangalampalli
Manipal Institute of Technology, MAHE Bengaluru, India - Dr. Hitesh Panchal
Gujarat Technological University, Gujarat, India - Dr. K. Prasanna Kumar,
St. Peters Engineering College, Hyderabad, India - Prof. Nithesh Naik
Manipal Institute of Technology, MAHE Manipal, India - Dr. Kaiss Redouane 
Faculty of Economics and Management, Hassan 1st University, Settat, Morocco 
Title: AI-Driven Engineering Intelligence: Applications in Biomedicine, IIoT, Smart Cities, and Education
Call for Papers for the topics mentioned below:
AI-powered medical diagnostics and biomedical image analysis
Machine learning for biosignal processing
Wearable health monitoring
Predictive analytics for disease progression and personalized treatment
Edge AI and sensor fusion in Industrial Internet of Things (IIoT)
Real-time analytics and anomaly detection in industrial systems
Digital twins and smart maintenance in manufacturing environments
AI-based traffic control and intelligent transportation systems in smart cities
Urban sustainability and infrastructure planning through AI analytics
AI for energy-efficient buildings and smart grid integration
Smart surveillance and safety systems using computer vision
Adaptive learning systems and personalized education experiences
Intelligent tutoring systems and virtual learning environments
AI-driven institutional analytics and curriculum optimization
Ethics, fairness, and security in AI applications
Session organizer(s)
Prof. Ts. Dr. Wong Ling Shing
Pro Vice Chancellor, INTI International University, Malaysia
Dr. Pratikshya Bhandari
Shinawatra University, Bangkok, Thailand
Dr. Sarvesh Kumar
ICFAITech, Jaipur, Rajasthan, India
Dr. Sagar Dhanraj Pande
Pimpri Chinchwad University, Pune, India
Dr. Usha Desai
SEA College of Engineering and Technology, Bengaluru, IndiaProf. Nithesh Naik
Manipal Institute of Technology, MAHE Manipal, India
Title: Cloud and Edge Computing for Intelligent Data Management and Analytics
Call for Papers for the topics mentioned below:
Cloud-based enterprise resource planning (ERP)
Business intelligence systems
Edge computing for real-time decision-making
Data analytics for strategic business planning and forecasting
AI-powered financial analytics
Intelligent supply chain optimization
Customer behaviour analytics
Cloud and edge solutions for marketing intelligence
Human resource analytics
Sales and revenue optimization through predictive analytics
Performance monitoring and KPI dashboards
Secure data governance and compliance in business intelligence systems
Big data integration and visualization for executive decision support
AI in operations in business sectors
Management of hybrid cloud and edge infrastructure
Business process automation
Session organizer(s)
Dr. Babita Singla
Chitkara University, Punjab, IndiaDr. Amanpreet Kaur
Lovely Professional University, Punjab, IndiaDr. Chandra Singh
NMAM Institute of Technology, Nitte (Deemed to be University), Mangalore, India
Title: Artificial Intelligence and Emerging Computational Technologies for Smart, Health, Privacy, Edge and Intelligent Systems
Call for Papers for the topics mentioned below:
Artificial Intelligence & Deep Learning
• Internet of Things (IoT) and Edge Computing
• Quantum Computing and Quantum AI
• Blockchain and Distributed Systems
• Cybersecurity and Privacy
• Medical Imaging and Computational Biomedicine
• Data Analytics and Bioinformatics
• Edge and Fog Computing in Healthcare
• Blockchain for Secure Healthcare Systems
Session organizer(s)
Dr. Puranam Revanth Kumar
Assistant Professor
Department of Artificial Intelligence and Machine Learning,
Malla Reddy University, Hyderabad, India.
Email ID: revanth123451.rk@gmail.comDr. G. Gifta Jerith
Dean, Department of AI & ML,
Malla Reddy University, Hyderabad, India.
Email ID: ggiftajerith@gmail.comDr. A Pramod Kumar
Associate Professor
Department of Electronics and Communication Engineering,
CMR Engineering College, Hyderabad, India.
Email Id: pramodvce@gmail.comDr. Medikonda Asha Kiran
Assistant Professor
Department of Information Technology,
Anurag University, Hyderabad, India.
Email ID: ashakiran2@gmail.comMr. Sai Prashanth Mallellu
Adjunct Professor
Symbiosis Institute of Technology, Hyderabad, India.
Email ID: saiprashanth@sithyd.si
Title: Leveraging Data Analytics for Driving Sustainable Development and Green Innovation
Call for Papers for the topics mentioned below:
Big data applications in sustainability and environmental monitoring
Predictive analytics for climate change mitigation and adaptation
AI and machine learning for smart cities and sustainable infrastructure
Data-driven approaches to circular economy and waste reduction
Energy consumption analytics and optimization models
Sustainable agriculture using IoT and precision data analysis
Real-time analytics for disaster risk reduction and early warning systems
ESG (Environmental, Social, and Governance) metrics and performance analysis
Data analytics in sustainable finance and green fintech
Policy modeling and impact assessment using data simulation
Sustainable supply chain and logistics optimization using data analytics
Citizen data science and participatory analytics for community sustainability
Session organizer(s)
Dr. Sheela Hundekari
Professor, Director R&D
School of Engineering And Technology
Pimpri Chinchwad University, Pune
Email. sheela.hundekari@pcu.edu.inDr. Rohit Bansal
Adjunct Faculty, Rockford College,
Sydney, Australia
Email: rohitbansal.mba@gmail.com
Title: Innovations in Health Analytics for Sustainable Development Goals
Call for Papers for the topics mentioned below:
AI & Big Data in Advancing Global Health and the SDGs
Predictive Analytics and Health Equity: Innovations for SDG
Smart Health Systems using Data-Driven Approaches to Universal Health Coverage
Health Informatics for Sustainable Development
Next-Gen Health Surveillance and Early Warning Systems
Machine Learning for Health in Low-Resource Settings
Real-Time Health Analytics for Crisis Response and Resilience
Digital Health Innovation for Achieving the SDGs
Health Data for Development and Bridging Policy and Practice
Transformative Health Analytics for Global Sustainability
Equity-Driven Health Data Solutions in the Global South
Scaling Health Innovations through Evidence, Ethics, and Equity
Technologies for Inclusive and Sustainable Health Systems
Cross-Sector Data Integration for Health and Sustainable Development
Health Analytics at the Nexus of Environment, Society, and Economy
Participatory and Community-Driven Health Data for the SDGs
Innovation, Insight, and Inclusion for the Future of Global Health Data
Session organizer(s)
Dr. Nagu Chandra Sekhar Reddy
Professor & Principal
Department of CSE (Artificial Intelligence and Machine Learning) St.Peter’s Engineering College, Hyderabad, India
Email ID: principal@stpetershyd.comDr. Amjan Shaik,
Professor & Dean (R&D)
Department of CSE
St.Peter’s Engineering College, Hyderabad, India
Email ID: rnd@stpetershyderabad.comDr. R. Vidya
Associate Professor & Dean (PLs)
Department of CSE(Artificial Intelligence and Machine Learning)
St.Peter’s Engineering College, Hyderabad, India
Email ID: vidyarajasekaran@stpetershyd.comDr. P. Amarendra Reddy
Associate Professor & HoD – CSE (AIML)
Department of CSE (Artificial Intelligence and Machine Learning)
St.Peter’s Engineering College, Hyderabad, India
Email ID: hod.aiml@stpetershyd.comDr. P. Deepan
Associate Professor & HoD – CSE (AIML)
Department of CSE (Artificial Intelligence and Machine Learning)
St.Peter’s Engineering College, Hyderabad, India
Email ID: hod.csds@stpetershyd.com
Title: Advancing Data Analytics, Predictive Modeling, and Large Language Models (LLMs)
Call for Papers for the topics mentioned below:
Data-Driven Decision Making with Machine Learning, Computer Vision, and Predictive Analytics
Enhancing Security, Transparency, and Automation in Data Models
Integrating Large Language Models (LLMs) for Enhanced Data Analytics and Insights
Leveraging Deep Learning and Computer Vision in Predictive Modeling for Real-Time Solutions
Optimizing Data-Driven Systems with Deep Learning, Predictive Analytics, and LLMs
LLMs as Data Analysts: Automating Insights from Unstructured Data
Fine-Tuning LLMs for Domain-Specific Predictive Tasks
LLMs for Code Generation in Predictive Model Pipelines
Prompt Engineering for Enhanced Predictive Accuracy in LLMs
Using LLMs for Augmented Data Exploration and Visualizations
Session organizer(s)
Dr. S. Priya
Assistant Professor,
School of Computer Engineering
Manipal Institute of Technology, Bengaluru
Manipal Academy of Higher Education, Bengaluru Campus
Karnataka, India
Email: s. priya@manipal.eduDr. Yuvaraj Natarajan
Associate Professor
School of Computer Science and Engineering,
Vellore Institute of Technology, Vellore,
Tamil Nadu, India
Email: yuvaraj.n@vit.ac.inDr. K.R. Sri Preethaa
Assistant Professor
School of Computer Science and Engineering,
Vellore Institute of Technology, Vellore,
Tamil Nadu, India
Email: sripreethaa.kr@vit.ac.inDr. M. Shyamala Devi
Research Professor
Department of Robot and Smart System Engineering
Kyungpook National University, Republic of Korea
Title: Intelligent Supply Chain Management: Big Data, IoT, and Machine Learning Integration
Call for Papers for the topics mentioned below:
Real-time Supply Chain Visibility and Tracking Systems using IoT Sensors and Analytics
Machine Learning Models for Demand Forecasting and Inventory Optimization
Predictive Maintenance in Supply Chain Assets using Big Data and AI
Blockchain Integration with IoT for Supply Chain Transparency and Traceability
Smart Warehouse Management Systems: Automation, Robotics, and Data Analytics
Supplier Risk Assessment and Management using Machine Learning Algorithms
Dynamic Pricing and Revenue Optimization in Digital Supply Chains
Anomaly Detection and Fraud Prevention in Supply Chain Operations
Dynamic Pricing and Revenue Optimization in Digital Supply Chains
Multi-modal Transportation Optimization using Big Data and AI
Session organizer(s)
Dr. Rekha R. Nair, Assistant Professor, Department of Computer Science and
Engineering, Alliance University, IndiaDr. Tina Babu, Assistant Professor, Department of Computer Science and Engineering,
Alliance University, India
Title: AI-Driven Data Analytics and Intelligent Management Systems for Sustainable Innovation
Call for Papers for the topics mentioned below:
Advanced Machine Learning and Deep Learning for Data Analytics
Big Data Management and Real-Time Processing
Data Mining and Predictive Analytics in Engineering Applications
Cloud, Edge, and Fog Computing for Scalable Data Management
5. Internet of Things (IoT) Data Analytics for Smart SystemsAI in Business Intelligence and Digital Transformation
Data Security, Privacy, and Ethical Issues in Analytics
Blockchain and Distributed Ledgers for Secure Data Management
Natural Language Processing (NLP) and Text Mining in Business Data
Intelligent Decision Support Systems and Automation
Data-Driven Supply Chain and Retail Management (with Drop Shipping)
Case Studies on AI-Driven Data Analytics in Healthcare, Agriculture, and Smart Cities
Session organizer(s)
Dr. Ramchandra Pujeri, Pro Vice Chancellor, MIT Art, Design and Technology
University , Pune , Maharashtra , IndiaDr. Ganesh Pathak, Professor and Dean, School of Computing , MIT Art, Design and
Technology , Pune , Maharashtra , IndiaDr. Shraddha Phansalkar, Professor and Associate Dean ( Academics), School of
Computing, MIT Art, Design and Technology, Pune , Maharashtra, IndiaDr. Reena Gunjan, Professor, School of Computing, MIT Art, Design and Technology, Pune, Maharashtra, India
Dr. Ayasha Butalia , Professor, School of Computing, MIT Art, Design and
Technology, Pune , Maharashtra, IndiaDr. Mukund Wagh, Professor, School of Computing, MIT Art, Design and
Technology, Pune, Maharashtra, IndiaDr. Ram Kumar Solanki, Associate Professor, School of Computing, MIT Art, Design
and Technology, Pune, Maharashtra, India