ICSIT 2026 (International Conference on Sustainability, Innovation & Technology) is an academic conference held in Nagpur, MH, India on 2026-09-18. The paper submission deadline is 2026-05-10. Acceptance notifications are sent on 2026-06-15.
The conference will provide an opportunity for practicing engineers, academicians, and researchers to meet in a forum to discuss various issues and the future direction of various Emerging Technologies related to Sustainability, Innovation, and Technology with the following outcome:
To strengthen the industry-academia bond and enhance collaborative and meaningful research on issues of current relevance.
Expose the participating delegates to emerging technologies through presentations.
To organize expert talks by domain experts of global eminence.
To recognize the eminent global achievers for their remarkable achievements and contributions in their respective domains by SIT awards of excellence.
The conference will cover a wide range of topics related to sustainability, innovation, and technology (but not limited to):
Track 1: Sustainable Computing and Information Technology
Information security, natural language processing, language technologies and information retrieval, computer systems organization, and communication networks, information systems and communication service, software engineering and operating systems, management of computing and information systems, green IT, eco-friendly materials, cloud & grid computing, recycling and disposal of e-waste, environmental footprint, awareness drive, energy-efficient data center design, telecommuting, mobile computing, application security.
Track 2: Computational Intelligence & Machine Learning
Optimization techniques, system modeling, and simulation fuzzy systems, evolutionary computational methods, Machine Learning, artificial neural networks, Bayesian learning, hybrid intelligent systems, soft computing, smart computing, Internet of Things (IoT), Big data, data mining, signal, image, and video processing, robotics & computer vision, Deep Learning, and peer-to-peer computing.
Track 3: Innovative Computing and Sustainable Engineering Systems
Ambient intelligence, computational neuroscience, artificial life, virtual worlds and society, cognitive science and systems, self-organizing and adaptive systems, e-learning and teaching, recommender systems, knowledge-based paradigms, Smart Engineering Solutions for waste management, sustainable architecture, data analytics, AI in industry, optimization techniques smart grid technologies, communication, control, power electronics, energy storage, demand control, and response.
Track 4: Advances in Technology
Signal and Image Processing, Biomedical Engineering and Systems, Embedded Systems, Neural Networks and Intelligent Systems, MEMS Design, Satellite and Wireless Communications, Antennas and Propagation, Next Generation Mobile Communications, Communication, 5G Applications and Emerging, 6G Technologies, Sensors, Biosensors, Signal Processing and Applications, Solid State Devices and Materials, Optical Communications and Photonics, RF and Microwave Circuits and Devices, Wireless/Radio Access Technologies, Massive MIMO Communication Systems, Cognitive Radar Systems, Industrial Informatics, Electronic Devices and Circuits, Microelectronics, VLSI Design and Technology, Applications of Compressive Sensing Theory, Advanced drone technology and 3-D printing, Cyber-Physical system, Software Engineering and Agile Development, Multimedia, and Web Services Agents, Quantum computing, Vehicular Technology, Ubiquitous Computing, Global Software Engineering, Knowledge-based Systems, Pervasive Computing and Ambient Intelligence, Bioinformatics, Heuristic and AI Planning Strategies and Tools, Computational Theories of Learning, Recent Trends and Developments
Track 5: Bioinformatics and Computation
Bio-Medical Imaging, Bioinformatics, Computational Genomics and Proteomics, Computing for Bioinformatics, Big Data Analytics in Biological Research, Quantum Computing Applications in Bioinformatics, Wearable Technologies and IoT in Health and Biological Monitoring, Blockchain in Bioinformatics Data Management, Advanced Algorithms for Structural Bioinformatics, High-Performance Computing in Molecular Simulations, Machine Learning in Drug Discovery and Development, Computing for DNA Analysis.
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