WELCOME TO SPIN 2025
| Event Format : Hybrid (In-person and Virtual) |
All papers of SPIN-2014, SPIN-2015, SPIN 2016, SPIN 2017, SPIN 2018, SPIN 2019, SPIN 2020, SPIN2021, SPIN 2023 and SPIN 2024 have been published in IEEE Xplore Digital Library and have been indexed by Scopus, Google Scholar etc.)
In succession of International Conferences SPIN-2014, SPIN-2015, SPIN-2016, SPIN-2017, SPIN-2018,SPIN-2019, SPIN-2020,SPIN-2021,SPIN-2022, SPIN-2023, and SPIN -2024 the 12th International Conference on Signal Processing and Integrated Networks (SPIN 2025), will be organized by Amity University, Noida, on 20-21 February 2025. The Conference aims to bring together scientists, academicians and industrialists working in the field of Signal Processing and Integrated Networks to discuss new ideas and promote research work.
The conference will be devoted to all advancements in Signal Processing and Integrated Networks. Researchers from all over the country and abroad will gather in order to introduce their recent advances in the field and thereby promote the exchange of new ideas, results and techniques. The conference will be a successive catalyst in promoting research work, sharing views and getting innovative ideas in this field.
Objectives
The objective of SPIN-2025 is participation from Academia, Research Organizations and Industry in the following ways:
- Technical Sessions
- Panel Discussions
- Industry Forum
- Keynote Speeches, Invited & Submitted papers
- Special Sessions on Selected Topics
This two-day conference will offer a unique opportunity to gain insight into state-of-the-art technology in the field and to network with international researchers and scientists.
Previous editions of SPINs have attracted researchers from across the world in the form of Invited Talks, Contributory Papers, Participation from Reputed Institutes of India and Abroad, Research Labs, Industry etc. Some of the glimpses are given below:
Technical Tracks:
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, Microelectronics, Nanoelectronics, Semiconductor device simulation and modelling, Advanced Semiconductor Technologies, Semiconductor Materials, Verification and testing, 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, system Verilog etc.) Modelling, Processor Architecture and Modelling, ASIC Design, Design for Testability (DFT), FPGA Based Design, layout and synthesis, Test Generation Algorithms, Physical Design, deep submicron design, asynchronous circuit design, Emerging Memory Technologies and 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, MEMS, Quantum VLSI and Quantum Computing, Reliability and Security in VLSI, Flexible and Wearable Electronics, Artificial Intelligence (AI) in VLSI (Very Large Scale Integration) design and manufacturing etc
Gallery (Previous SPIN)
Click HereAcademic Partners of SPIN 2025
Flower Labs Cambridge University, UK
Academic Partners of Previous SPIN
Wireless Communication at Sheffield
Department of Electronics and Electrical Engineering
University of Sheffield, UK
Electromagnetics Laboratory, Chuo University, Tokyo, Japan
Department of Electrical Engineering, Mathematics, and Science