High-Performance Computing for Big Data Analytics and AI Applications

Dear Colleagues,

The increasing volume, variety, and velocity of data across domains such as healthcare, defense, smart cities, and autonomous systems have elevated the importance of high-performance computing (HPC) for enabling scalable and reliable AI applications. HPC offers the computational backbone for managing large-scale signal and visual data, training deep learning models efficiently, and deploying real-time analytics systems in dynamic environments.

This Special Issue invites original research articles and comprehensive reviews on the convergence of AI, big data analytics, and high-performance computing. Of particular interest are methods and systems that leverage parallelism, hardware acceleration, distributed architectures, and edge–cloud collaboration to deliver trustworthy, interpretable, and low-latency AI for real-world tasks.

We encourage contributions that address challenges in signal and image processing, multimodal fusion, medical imaging, biometric identification, sensor data analysis, and autonomous platforms. Submissions may span algorithmic innovations, scalable learning architectures, performance benchmarking, and deployment strategies for data-intensive and compute-heavy AI workflows.

We invite original research articles and comprehensive reviews that present novel methods, architectures, and applications enabling intelligent systems to process signal and visual data reliably, efficiently, and robustly in real-world environments. Topics of interest include, but are not limited to, the following:

• High-performance computing architectures for AI and big data processing;
• Parallel and distributed machine learning for signal/image analytics;
• GPU/TPU-accelerated systems for scalable deep learning;
• Infrastructure-aware optimization and deployment of AI pipelines;
• Real-time AI inference on multimodal sensor and image streams;
• Edge–cloud collaboration for low-latency AI deployment;
• Trustworthy and explainable in AI and HPC-driven environments;
• Data-intensive medical imaging and bio-signal analysis using HPC;
• Hardware-aware scheduling and model compression for fast inference;
• Federated and decentralized learning for privacy-preserving AI;
• Big data analytics for cyber-physical and autonomous systems;
• Benchmarking and performance evaluation of AI systems at scale;
• AI-enhanced anomaly detection in high-dimensional signal data;
• Concept-based and interpretable AI for mission-critical deployments;
• Smart sensing, biometric recognition, and video analytics on HPC platforms;
• AI for medical imaging (MRI, ultrasound), EEG, and biosignals;
• Signal and image enhancement in biometric systems (e.g. fingerprint, face);
• Real-world deployment case studies in healthcare, autonomous systems, or smart infrastructure.

We look forward to receiving your contributions.

Dr. Mubeen Ghafoor
Guest Editor

Dr. Mubeen Ghafoor
Dr. Muhammad Kazim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• high-performance computing (HPC)
• signal, image, and video processing
• trustworthy AI
• explainable artificial intelligence (XAI)
• edge AI and embedded inference
• medical image analysis
• multimodal sensor fusion
• real-time and low-latency AI systems
• big data analytics
• scalable machine learning