This special session showcases theoretical innovation and pragmatic application of fuzzy and hybrid fuzzy lore in decision-making. It is an invitation to those researchers whose research, case studies, and applications are beacons illuminating the shadowed corridors of ambiguity, crafting informed decisions dealing with ambiguity.

Suggested topics (But not limited to):

• Theoretical foundations of fuzzy systems in decision making.

• Hybrid fuzzy systems combining fuzzy logic with other decision-making frameworks.

• Case studies illustrating the impact of fuzzy systems on strategic decision making.

• Development of hybrid models for predictive analysis in uncertain environments.

• Practical applications of fuzzy and hybrid fuzzy systems in various industries.

• Ethical considerations in decision making using fuzzy and hybrid fuzzy logic.

Organizers of session:

Dr Rashmi Singh

Associate Professor

Amity Institute of Applied Sciences

Amity University Uttar Pradesh, Noida, India

Email: rsingh7@amity.edu

Dr Akhilesh Kumar Singh,

Assistant Professor

Department of Applied Sciences and Humanities

Kamla Nehru Institute of Technology

Sultanpur-228118

Email: akhilesh.singh@knit.ac.in

This special session invites researchers, practitioners, and experts to share and discuss the latest advancements in the optimization techniques. This session will  showcase practical applications and case studies demonstrating the impact of recent optimization advancements. Optimization techniques play an important role in complex engineering challenges, leading to improved efficiency, cost savings, and the development of more sustainable and reliable systems across diverse engineering disciplines.

Suggested topics (But not limited to):

• Evolutionary/Metaheuristic or Swarm Intelligence based algorithms and their applications in engineering problems.

• Optimization algorithms in Finance, Transportation, Healthcare, Environmental Management etc.

• Use of Hybrid Optimization Approaches for improved performance.

• Application of optimization techniques in the context of smart systems, including the Internet of Things (IoT) and cyber-physical systems.

• Machine learning-based optimization to optimize complex systems or processes. 

• Design and operation optimization for renewable energy sources, control systems and others.

• Optimization of production processes, scheduling, and resource allocation in manufacturing.

• Optimization in the development of machine learning models.

• Application of game theory to optimization problems.

Organizers of session:

Dr Vandana Khanna 

Associate Professor

Department of Multidisciplinary Engineering

The NorthCap University

Gurugram, India

Email: vandanakhanna@ncuindia.edu

Dr Yogita Gigras

Associate Professor

Department of Computer Science and Engineering

The NorthCap University

Gurugram, India

Email: yogitagigras@ncuindia.edu

The objective of this special session is to offer a global platform for the exchange of information and findings about the theory, practice, and uses of machine learning to develop predictive models for various engineering applications. Supervised machine learning models like Random Forests and Support Vector Machines, as well as unsupervised methods like clustering and dimensionality reduction handle complex prediction problems efficiently.

Particularly, deep learning demonstrates remarkable efficiency in managing large-scale datasets. By uniting researchers, practitioners, academics, and industry professionals from various disciplines related to machine learning models and their applications, this session endeavours to foster collaboration and knowledge exchange.

Suggested topics (But not limited to):

•  Predictive modelling

•  Using predictive modeling for accelerating materials design.

•  Applications of artificial neural networks

•  Artificial Intelligence

•  Computer Vision

•  Machine Learning

•  Deep learning applications

•  Computational Intelligence

•  Medical Diagnosis

•  Augmented/Virtual Reality

•  Mobile Robots

•  Data Science

Organizers of session:

Dr. Shaveta Arora

Associate Professor

Department of Computer Science and Engineering

The NorthCap University

Gurugram, India

Email: shavetaarora@ncuindia.edu

Dr. Vikas Mittal

Associate Professor 

ECE Department

Chandigarh University, Mohali, India.

Email: vikas.e14122@cumail.in

This session will delve into the cutting-edge research, breakthroughs, and practical implementations of machine learning techniques across various domains. From autonomous vehicles and natural language processing to personalized medicine and smart cities, we will delve into the transformative impact of machine learning algorithms. It aims to bring together researchers, industry professionals, and enthusiasts to explore the groundbreaking advancements and practical implementations of machine learning across various domains. From computer vision and natural language processing to predictive analytics and autonomous systems, this session will showcase the transformative power of machine learning algorithms in solving complex problems and driving innovation.

This special session aims to explore the intersection of secure intelligent systems and emerging technologies. As technology evolves, the integration of intelligent systems becomes more prevalent in various domains. This session will focus on ensuring the security and resilience of intelligent systems in the context of emerging technologies, fostering discussions among researchers, practitioners, and industry experts.

Suggested topics (But not limited to):

• The topics of interest for this session include but are not limited to:

• Information and Cyber security

• Security in Machine learning and Artificial Intelligence applications

• Computational intelligence

• IOT Enabling technologies and its applications

• Real-world intelligent applications.

• Hybrid intelligent systems

• Network and communication Security

• Blockchain and its applications

• Risk Assessment and Analysis

• Quantum Computing

• Applied Cryptography

Organizers of session:

Dr. Shilpa Mahajan 

Department of Computer Science and Engineering

The NorthCap University

Gurugram, India

Email: Shilpa@ncuindia.edu

Dr. Mehak Khurana

Department of Computer Science and Engineering

The NorthCap University

Gurugram, India

Email: mehakkhurana@ncuindia.edu

Mathematics is an extremely significant language for providing the analytical and problem-solving tools necessary to design, analyze, and optimize systems, ensuring that they meet safety, efficiency, and performance requirements. The recent era really magnifies that Mathematics, along with Artificial Intelligence, Social Emotional Intelligence, has become the giant game changer for remarkable advancements, permeating various aspects of our lives. Concurrently, the significance of mathematics in Artificial Intelligence and Social Emotional Intelligence have become increasingly evident, as sophisticated mathematical techniques are indispensable for developing and optimizing Artificial Intelligence and Social Emotional Intelligence models. 

This special issue aims to delve into the profound synergy between mathematics, Artificial Intelligence and Social Emotional Intelligence highlighting the latest breakthroughs and discoveries in this dynamic field. By bringing together leading experts from both disciplines, we aim to foster novel collaborations and ignite innovative ideas that propel the advancement in respective fields.

Suggested topics (But not limited to):

• Mathematical foundations of AI

• Optimization and control theory for AI systems

• Deep learning and neural networks

• Reinforcement learning and control theory

• Graph theory and network analysis

• Bayesian inference and probabilistic modeling

• Optimization algorithms for AI

• Mathematics for natural language processing

• Socio-emotional abilities and their relation to intelligence and/or individual differences in basic cognitive processes

• Interrelations among socio-emotional abilities

• New methodologies to measure socio-emotional abilities, including new performance-based tasks or scoring approaches

• Identification and Predictive validity of socio-emotional abilities

Organizers of session:

Prof. (Dr.) Amit Srivastava

Department of Mathematics, 

Jaypee Institute of Information Technology, Noida, India

 Email: amit.srivastava@mail.jiit.ac.in, amit90554@gmail.com

Dr. Lakhveer Kaur

Department of Mathematics, 

Jaypee Institute of Information Technology, Noida, India 

Email: lakhveer.kaur@mail.jiit.ac.in,  lakhveerscholar@gmail.com

This unique session highlights both the theoretical advancements and practical applications of dynamics in fluid flow processes. Researchers are invited to present their work, encompassing studies, case analyses, and applications that serve as guiding lights through the obscure realms of uncertainty, aiding in formulating well-informed decisions related to simulation and modeling. We are excited to invite researchers, scholars, and experts in the fields of Computational Fluid Dynamics (CFD), Hydrodynamics, and Numerical Methods to submit their articles for presentation at our upcoming event. This platform provides an excellent opportunity to showcase cutting-edge research, advancements, and innovative applications in the dynamic realms of fluid dynamics. 

Whether you focus on turbulence modeling, heat transfer simulations, multiphase flow, or numerical methods, we welcome contributions that span the breadth of CFD and related disciplines. Share your insights, methodologies, and findings contributing to understanding and applying computational techniques in fluid dynamics and hydrodynamics. Join us in fostering a collaborative environment where researchers can exchange ideas, present their work, and engage in discussions that push the boundaries of knowledge in these fields. Submit your abstracts and be part of a vibrant community driving advancements in Computational Fluid Dynamics, Hydrodynamics, and Numerical Methods.

Suggested topics (But not limited to):

• Hydrodynamics of fluids in the analysis of the flow process.

• Computational Fluid Dynamics

• Artificial Neural Networks, Fuzzy Logic and Genetic Algorithm approaches in the flow process.

• Numerical methods and solutions of typical flow processes and Process Engineering.

• Turbulence Modeling.

• Mesh Generation.

• Solver Development.

• Heat Transfer Simulations.

• Multiphase Flow.

• Optimization in CFD.

• Verification and Validation (V&V) in CFD.

Organizers of session:

Dr. K. Lavanya

Assistant Professor (Process and Food Engineering)

Department of Processing and Food Engineering

Acharya N.G. Ranga Agricultural University, Guntur-522034, A.P, India.

Email: lavanya.turagaa@gmail.com

Er. M. Mohan Raju, M.Tech., MIAH, MIE

Assistant Executive Engineer, 

Nagarjunasagar Dam

Irrigation & Command Area Development Department

Government of Telangana, India.

Email: mmraju.swce@gmail.com

This distinctive session emphasizes that mathematics plays a crucial role in understanding and addressing various aspects of climate change and the management and analysis of water resources. Researchers are encouraged to share their work, incorporating studies, case analyses, and applications illuminating uncertain landscapes. These contributions are instrumental in making well-grounded decisions concerning the role of mathematics in the extraction, and prediction of climate data and mathematical-based modeling in water resources. We eagerly welcome researchers, scholars, and experts in the domains of climate change and applications in water resources to submit their articles for presentation at our upcoming event. This platform offers an exceptional opportunity to present state-of-the-art research, advancements, and inventive applications in the ever-evolving domains of water resources, mathematical modeling, and climate change. 

Mathematics plays a crucial role in understanding and addressing various aspects of climate change. Certain mathematical applications in the context of climate change are essential for the prediction of rainfall, temperature, and other atmospheric parameters. Whether you focus on hydrological modeling, hydraulic modeling, climate science, climate change, and impacts on various areas (ex. Sea level rise, extreme weather events, social and economic impacts, mitigation and adaptation, etc.), we welcome scientists and researchers from various disciplines to contribute to understanding the causes, impacts, and potential solutions to sustainable water resources in changing climate change. Share your insights, methodologies, and findings contributing to understanding and applying climate change's impact on water resources. Join us in fostering a collaborative environment where researchers can exchange ideas, present their work, and engage in discussions that push the boundaries of knowledge in these fields. Submit your abstracts and be part of a vibrant community driving advancements in mathematical models for climate data extraction and applications in Water Resources.

Overall, the application of mathematics in water resources, climate change research, and policy provides valuable tools for understanding the complex interactions within the earth's climate system and developing effective strategies for mitigation and adaptation.

Suggested topics (But not limited to):

• Climate Modeling

• Data Analysis and Statistics

• Optimization

• Economics of Climate Change

• Remote Sensing and GIS

• Hydrologic and hydraulic modeling

• Climate Change Adaptation Strategies

Organizers of session:

Dr. A. Naresh

Engineering Staff College of India, IEI (India)

Old Bombay Road, Gachibowli, Hyderabad - 500032

Telangana State, India 

Email: ayyaure@gmail.com

Dr. M. Harini Reddy, 

Department of Civil Engineering

Guru Nanak University, Ibrahimpatnam, R. R. District

Hyderabad – 501 506. Telangana State, India.

Email: harinireddy589@gmail.com

Distribution theory is a branch of mathematics that provides a rigorous framework for dealing with generalized functions or distributions. Unlike traditional functions, distributions can be more flexible and inclusive, allowing mathematicians to extend their methods to a wider class of objects. Introduced by mathematicians like Laurent Schwartz in the mid-20th century, distribution theory addresses challenges arising in the analysis of irregular functions, such as those with discontinuities or singularities. Distributions provide a powerful tool for solving partial differential equations, and they play a crucial role in diverse fields such as physics, engineering, and signal processing. By refining the concept of derivatives and integrals, distribution theory offers a systematic approach to handle mathematical objects that do not fit neatly into classical function spaces, contributing to a deeper understanding of complex phenomena and enhancing the analytical toolkit of mathematicians and scientists alike.

Suggested topics (But not limited to):

• Fourier Transform of Distributions 

• Data Analysis and Statistics

• Wavefront Set 

• Tempered Distributions 

• Singular Support 

• Convolution of Distributions 

• Distributions in Quantum Mechanics 

Organizers of session:

Dr. Rama Shanker

Department of Statistics,

Assam University,

Silchar, Assam, India 

Email: shankerrama2009@gmail.com 

Dr. Kamlesh K. Shukla

Department of Mathematics

Jaypee Institute of Information Technology, Noida

Email: kkshukla22@gmail.com