13th International Conference on
Signal Processing and Integrated Networks (SPIN 2027)

Array signal processing, radar, sonar and acoustic signal processing, multimodal signal processing, distributed signal processing, adaptive signal processing, advancements in analog signal processors and DSP processors, architecture, implementation and applications of digital filters, biometric applications, signal compression & coding, multidimensional signal processing, multimedia tools, applications & security, multi-rate signal processing, non-stationary, non-linear and non-Gaussian signal processing, waveform diversity and multi-channel signal processing, signal processing in encrypted domain, signal processing using chaos, fractals and solitons, statistical signal processing, multimedia signal processing, signal reconstruction, real-time signal processing, noise reduction and feature extraction. Applied signal processing systems, speech signal processing, audio & acoustic signal processing, quantum signal processing, etc.

Image segmentation, edge detection, image restoration, image enhancement, histogram equalization, image denoising, feature extraction, object recognition, image compression, image registration. Computer-aided diagnosis, image analysis, multimedia information retrieval, imaging informatics for healthcare, research, and applications, biomedical imaging and visualization, biomedical image datasets, representation of pictorial data, visualization, feature extraction, segmentation, image guided surgery and intervention, texture, shape and motion measurements, spectral analysis, digital anatomical atlases, statistical shape analysis, computational anatomy, computational physiology, virtual and augmented reality for therapy planning and guidance, telemedicine with medical images, telepresence in medicine, tele-surgery and image guided medical robots. X-ray, magnetic resonance imaging (MR), computed tomography (CT), position emission tomography (PET), optical coherence tomography (OCT), and ultrasound etc.

Imaging and acquisition systems, illumination, sampling and scanning, quantization, colour reproduction, image rendering, display and printing systems, evaluation of image quality. Storage of images and video, database design, image retrieval, video annotation and editing, mixed media incorporating visual information, steganography, mathematical morphology, Markov models, image / video watermarking embedding and detection, graphics and visualization, holographic video, interpolation and super-resolution, mixed media incorporating visual information, multi camera fusion, multiframe image restoration, image formation, stereoscopic and 3-D processing, image pattern recognition, video analysis and event recognition, image representation and rendering, video annotation and editing, image / video compression, video segmentation and tracking, image / video coding and transmission. Motion Estimation, Video Compression (MPEG, H.264, H.265), Video Streaming, Frame Interpolation, Video Stabilization, Video Object Tracking, 3D Video Processing, Video Quality Assessment, Scene Detection, Video Summarization, Real-time video analysis

Applications: Precision agriculture, medical imaging, remote sensing, autonomous vehicles, augmented reality, surveillance systems, facial recognition, image forensics, biometric systems, satellite imaging, industrial vision systems, computer vision systems, astronomy, document processing, security, life sciences, earth sciences, weather forecasting.

AI: Natural Language Processing (NLP), Computer Vision (CV),Expert Systems ,Autonomous Systems, Knowledge Representation, AI Ethics and Bias, AI in Healthcare, Reinforcement Learning, AI in Robotics, AI in IoT, Swarm Intelligence, AI-driven Optimization,

Machine Learning (ML): Supervised Learning, Unsupervised Learning, Semi-supervised Learning, Self-supervised Learning, Transfer Learning, Ensemble Learning, Feature Engineering, Dimensionality Reduction, Model Explainability (XAI), Interpretability in ML, Meta-learning, Bayesian Networks, Kernel Methods, ML for Time Series, Generative Models

Deep Learning (DL): Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), Graph Neural Networks (GNNs), Transformer Networks, Generative Adversarial Networks (GANs), Autoencoders, Neural Architecture Search (NAS), Deep Reinforcement Learning, Deep Learning in Healthcare, Deep Learning for Natural Language Processing (NLP), Deep Learning in Autonomous Systems,

Federated Learning, Privacy-Preserving Machine Learning, Explainable AI (XAI), Edge AI, AI and Cybersecurity, AI Fairness and Bias Mitigation, AI and Ethics, AI for Social Good, AI in Climate Change, AI in Finance, Machine Learning in Signal/Image/Video Processing, Deep Learning for Image Recognition, AI-based Signal Denoising, Transfer Learning for Image Classification, Feature Learning, 

Multimodal Learning, Neuro-Symbolic AI, Causal Inference in ML, Few-Shot Learning, Zero-Shot Learning, Self-supervised Learning, Graph Neural Networks (GNN) Extensions, Foundation Models, Diffusion Models, Active Learning, Deep Equilibrium Models (DEQ), Energy-Based Models (EBMs), Sparse Neural Networks, Large-Scale Pretraining( e.g. OpenAI's GPT-4, Google's PaLM), NeRF (Neural Radiance Fields), Deep Reinforcement Learning for Real-Time Systems, AI-Generated Content (AIGC), Prompt Engineering, Edge AI Optimization, AI for Synthetic Biology, Digital Twins, Federated Learning with Differential Privacy, Adversarial Robustness in AI, Data Poisoning, AI Governance, Explainable Deep Learning, AI for Drug Discovery, AI in Quantum Computing, AI in Sustainability, AI for Personalization, Hardware-Software Co-Optimization, Neuromorphic Computing, AI Accelerators, Hyperparameter Optimization at Scale.

Wireless Sensor Networks (WSN), AI-driven networking, 5G/6G, mm Wave, Next-Generation Wireless Technologies (UWB, MIMO), Network Slicing, Massive MIMO, Non-Orthogonal Multiple Access (NOMA), Network Security, Threat Management, Quantum-safe Cryptography, Network Function Virtualization (NFV) and Software-Defined Networking (SDN)

Internet of Things (IoT) for Smart Cities, and Digital Health/Telemedicine etc., Edge and Cloud Computing, Edge Computing and IoT, IoT and 5G/6G Integration, AI-driven Network Optimization, Energy-efficient Communication, Cognitive Radio, and Spectrum Management in Next-Gen Networks

Advancements in RF and millimetre-wave circuits, Smart antennas for wireless communication. Nanotechnology, Metamaterials, THz technology, wireless power transfer. Computational electromagnetics, Remote sensing technologies, SAR, microwave photonics, and subsurface imaging.

Advancements in optical communication, Li-Fi, free-space optics, inter-satellite communication, Nano photonics, photonic crystals, and green photonics ,Integrated optics, optoelectronic devices, and fiber-optic sensors .Terahertz and microwave photonics

Autonomous Robotic Systems, Trajectory Planning, Modelling and Simulation, Bipeds and Humanoids, Swarm Robotics, AI in Robotics, Distributed and Cloud Robotics, Bio-inspired Systems, service robots, Biomedical Applications, Human Robot Interaction, Robot Vision, Intelligent Robotic Systems, AI and Computational Intelligence, Algorithms, Communications and Control, Computer structure, Computational Theory, Embedded Systems, High-Performance Computing, Internet and multimedia systems, Encoding programs of parallel algorithm and vectors, Fault tolerance and computation theories etc.

Electrochemical sensors, Biosensors, Electrical sensors, Thermal-based sensors, Mass-sensitive sensors, Gas sensors, Sensor applications, Sensor devices, Software for sensors, Mobility of nodes, Analytical methods for sensors, Analytical modeling for sensors, Sensor technology, New sensor principles, smart sensors, BioMEMS, MEMS, NEMS, IOT sensors, IIOT sensors, and Sensor Standards etc.

Modeling of complex systems, Control Applications, Motion Control, Optimal Control, Robust Control, Variable Structure Systems, Stochastic Control, Multivariable Control, Estimation and Identification, Industrial control, Intelligent and Al based control, Optimization Process Control, , Adaptive Control etc.

VLSI Architectures, Algorithms, Semiconductor device simulation and modelling, Semiconductor Technology, Functional and Formal Verification, Low power IC Design, Digital IC Design, Analog IC Design, mixed signal Design, Analog/Digital Integrated Circuits & Systems, Simulation Synthesis & Verification of Integrated Circuits and Systems, High-Level Synthesis for VLSI Systems, System on Programmable Chip Design, HDL (VHDL, Verilog etc.) Modeling, Processor Architecture and Modeling, ASIC Design, Testing and Design for Testability (DFT), FPGA Based Design, layout and synthesis, Test Generation Algorithms, Physical Design, Technology-related design, interconnect design, deep submicron design, asynchronous circuit design, memory design, Low-voltage, reliability-driven, Thermally-driven and radiation-hardening design, Dielectrics & Plasmas, power ICs and micro-sensors, IoT and Cyber-Physical Systems, RF Design, CMOS Technology and Devices, etc.

This track focuses on recent advances in signal processing, artificial intelligence, geospatial intelligence, environmental sensing, and computational earth sciences for addressing climate and environmental challenges and building resilient, sustainable systems. It provides an interdisciplinary platform for researchers, scientists, industry experts, and policymakers working in areas such as weather and climate prediction, ocean and atmospheric observation, early disaster warning, seismic and cryosphere monitoring, remote sensing, environmental informatics, and digital earth technologies. The track emphasizes AI-driven analytics, edge intelligence, high-performance computing, and multi-source data fusion for real-time environmental monitoring and climate resilience applications, while encouraging collaborative contributions from academia, research organizations, government agencies, startups, and industry.

Researchers working in, but not limited to, the following areas are encouraged to submit original research papers:

AI-enhanced weather signal analytics and climate forecasting, ocean intelligence and underwater signal processing, seismic signal intelligence and multi-hazard monitoring systems, remote sensing, SAR analytics and geospatial intelligence, environmental IoT and smart sensor networks, AI for disaster early warning and climate resilience, digital twin earth and high-performance environmental computing, atmospheric and geophysical data analytics, machine learning for environmental applications, climate informatics and spatio-temporal analytics, smart sensing technologies, edge AI for earth observation platforms, satellite communication and radar signal processing, environmental big data and cloud-based decision support systems, intelligent systems for flood, cyclone, and tsunami prediction, sustainable AI and green computing, autonomous oceanic and atmospheric monitoring systems, and digital earth infrastructure for advanced geospatial intelligence applications.