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Call For Papers: Second International Sustainability Conference 2023

Updated: Nov 20, 2023

Dear Colleagues:

We are pleased to announce the second edition of the International Sustainability Conference.

SCOPUS Indexed
Scopus Indexed book

Second International Sustainability Conference | 2023- ISC 2023 | Focus Theme: Science & Engineering Mode-Online | Worldwide | December 29 & 30, 2023

About The second edition of the International Sustainability Conference (ISC) will continue to promote sustainability through the exchange of ideas emerging from academia. However, there is a notable change for this edition as it will be dedicated exclusively to the fields of Science & Engineering. History The First International Sustainability Conference (ISC) 2022 was chaired by Prof Ravindra Pratap Singh, Prof Dr. Amarendra Partap Singh of IGNTU India and Prof. Dr. Dimitrios A Karras, NKUA-Greece. The mission of the ISC organizers remains unchanged—to promote academic research that offers technological, scientific, management, and business practices, as well as insights into policy merits and disruptions. The framework of exchanging ideas will be specifically geared towards the adoption of deep technologies, fundamental sciences, engineering, energy research, energy policies, advances in medicine, and related case studies. This framework will enable round table discussions between academia, industry, and policy makers, fostering collaboration and knowledge sharing. Focused Theme By dedicating the conference to Science & Engineering, the ISC aims to delve deeper into the scientific and technological aspects of sustainability, paving the way for practical solutions and advancements. The event will serve as a valuable opportunity for participants to engage in meaningful conversations, share research findings, and contribute to the overall goal of promoting sustainability within the context of Niti-Aayog policies. Overall, the second International Sustainability Conference promises to be a thought-provoking and impactful event, bringing together academia, industry, and policy makers to foster interdisciplinary collaboration and drive sustainable practices in Engineering.

Tracks & Scope

​Computer Science & Engineering | Information Technology for Sustainability

Machine learning, Artificial Intelligence, Algorithms, Data analytics, Computations, and their applications to sustainability. Intelligent Computations. Soft Computing and AI-driven Process Automation. Genetic Algorithms and Programming

Evolutionary Multi-Objective Optimization, Evolution Strategies, Evolutionary Robotics and Intelligent Agents

Hybrid Systems, evolutionary Rule-based systems, Memetic Algorithms, Hyperheuristics, Biocomputing and Complex Adaptive Systems, Swarm/Collective Intelligence, Bioinformatics and life sciences, Computer vision, image processing and pattern recognition, Dynamic environments, time series and sequence learning, Visualizing and improving the interpretability of machine learning models, Generalization and overfitting, Policy search and reinforcement learning, Fuzzy Logic, Rough Sets and Bayesian Methods, Cognitive Learning, Learning Paradigms, Memory Paradigms and Reasoning Models, Explainable AI, and adversarial Machine Learning, Extreme Learning Machines, Quantum Computing, Generative Adversarial Models, Natural Language Processing, Computational Genomics, Recommendation Systems, Smart Cities and Systems,, Music Information Retrieval

Big Data Analytics, Deep Learning Concepts Modelling, Soft Computing and Nature inspired computing, Human Machine Interaction, Web Intelligence and Social Networking, Cognitive systems and cognitive modelling, Biocomputing and Complex Adaptive Systems, Bio-Inspired Hardware and Networks, Swarm/Collective Intelligence, Cloud, Fog and Cluster computing, Ubiquitous Intelligence and Mobile computing, Emerging tools, technologies and Security, Data mining, Bioinformatics and life sciences; Computer vision, image processing and pattern recognition; Dynamic environments, time series and sequence learning;

Cognitive systems and cognitive modelling; Game Theory and Applications; Augmented & Virtual Reality; Industry 4.0; Social and Crowd Computing; Robotic Process Automation; Cybersecurity and cybernetics; Intelligent E-learning systems; Neural Networks and Pattern Recognition; Security, Authentication and Privacy; Block Chain and Cryptocurrency; Sentiment Analysis.

Electrical and Electronics | Telecommunications for Sustainability

Industry 4.0; Hardware; Internet of Things; 5G/6G Communications; Robotics; Internet of Medical Things (IoMT) and Smart Healthcare; wireless power transfer; wireless technologies, systems science and automation; power station; substations; high voltage engineering; power electronics; electrical machines and drives; Embedded system design; FPGA; Microelectronics, Radio Frequency; Microwave, Signal Processing, Nano-electronic Devices, Digital Signal Processing.

​Advances in Mathematics for Deep Technologies

Deep Learning (DL) and Machine Learning (ML) is now one of the fastest growing fields of research both in academia and Industry. However, the underlying principles of mathematics, statistics and computer sciences is still being understood by the researcher community and the industry across the globe. We, therefore, encourage submissions from researchers from diverse disciplines.

Broad Areas Topics may address any area of deep learning research such as:

  • Expressivity

  • Generalization

  • Optimization

  • Representations

  • Computation

  • Network architectures​

  • Recurrent networks

​Basic Sciences for Sustainability

​Chemistry, Physics, Materials Sciences, Geology, Geography, Medical and Life Sciences. Oceanography, Rock Mechanics, Engineering Geology, Water Resources, pollution studies, toxicology, pharmacy, Nano-Sciences Nano-Engineering and Nanotechnology. Sensors and Systems.

​General Engineering & Industry 4.0 Technologies

Other branches of Engineering- Mechanical, Civil, Structural, Thermal. This track focuses on various branches of Engineering and technology that are classified as the aspects of 4th Industrial revolution.

Important Dates

Full Manuscript Submission



First Review


T1+17 Days



T1+24 Days

First Proof Copies for Authors

February 2024

​T1+80 Days

Second Proof Copies for Authors

March 2024

T1+100 Days


April 2024

T1+130 Days


May 2024

T1+160 Days

Indexing Outcome

August-October 2024

T1+250 to T1+320 Days

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