The year 2025 marks the 100 years of the development of modern quantum mechanics since Heisenberg published his seminal paper in 1925. Recognizing the impact of quantum science and technologies in present day world UNESCO declared 2025 as "The International Year of Quantum Science and Technology (IYQ 2025)". Quantum science & Technology has dramatically reshaped our understanding of the universe, offering insights into the behavior of particles at atomic and subatomic levels. As quantum technologies continue to evolve, they hold the potential to revolutionize fields such as computing, communication, and sensing, ushering in advancements that could have a profound impact on our society.

Welcome to the IEEE SPS Seasonal School on Explainable AI and its Applications to Biometric Signal Processing! This program offers a unique opportunity to explore the intersection of advanced AI techniques and the analysis of biometric data. Through expert-led discussions and interactions, the participants will gain valuable insights into how explainable AI can enhance the transparency and trustworthiness of biometric signal processing, paving the way for more accurate, interpretable, and ethical AI-driven solutions in fields like healthcare, security, and personal identification. This seasonal school aims to give the participants hands-on experience, right from the foundations, from some of the leading experts in the fields in the areas of Explainable AI (XAI), Biometric Signal Processing, advances in deep architectures and applications using different modality of data.

The 7th Summer School on Advances in Deep Architectures for Signal, Image and Vision Applications (ADASIVA 2025) is being organized by Computer Vision and Biometrics Lab, Indian Insttiute of Information Technology, Allahabad during July 07-12, 2025 in virtual mode. ADASIVA 2025 is an advanced training program designed to provide participants with a comprehensive understanding of the latest trends and techniques in deep learning as applied to signal, image, and vision domains. Taking place in a collaborative and interdisciplinary environment, the school brings together leading researchers and practitioners to deliver a rich mix of theoretical lectures and practical sessions. Topics covered include state-of-the-art deep architectures such as convolutional neural networks (CNNs), vision transformers, generative models, and diffusion model, with a focus on their applications in fields like computer vision, biometrics, medical imaging, remote sensing, and multimedia analysis.

The faculty workshop on "Exploring the Role of Electroceramics in Future Communication Landscapes" aims to bring together academicians and researchers to delve into the pivotal role of electroceramic materials in advancing next-generation wireless technologies. With the rapid evolution of 5G, 6G, and mm-wave communication systems, this workshop will explore the design, synthesis, and application of electroceramics in high-frequency components such as filters, resonators, and antennas. Participants will gain insights into recent developments, challenges, and interdisciplinary opportunities in this dynamic field. The workshop encourages collaborative discussions to foster innovation at the intersection of materials science, electronics, and communication engineering.

The Summer Training program (June 23 – July 20, 2025) on Artificial Intelligence & Robotics will provide a comprehensive understanding of four key areas in AI – Machine Learning, Deep Learning, Reinforcement Learning, and Robotics. Participants will learn how to design, develop, and deploy AI-based solutions for real-world challenges. In addition to the core training, the program includes a Project Assistance Phase (July 21 – August 4, 2025), delivered online, focusing on Machine Learning and Robotics. This post-training component will help participants apply their newly acquired knowledge to solve a real-world ML problem, under expert mentorship.

This workshop aims to offer a comprehensive introduction to deep learning techniques and their applications in medical image analysis. Through this workshop, participants will gain a foundational understanding of how deep learning methods can be leveraged to analyze medical images, improving diagnostic accuracy and advancing research in the healthcare sector. The workshop sessions will cover essential concepts, tools and practical insights, enabling faculty to explore the potential of deep learning in their own academic and research pursuits.

Bioengineering is a bridge between multi-disciplinary engineering and medicine. The workshop has been designed to provide the theoretical background as well as recent developments in the field of biomedical engineering to young people's minds. The importance of engineering applications in the field of health care and medicine, cannot be overstated, against the backdrop of the unprecedented health crisis that this world is emerging from. The covid-19 pandemic has clearly identified the need for skilled manpower and solutions, particularly in screening, diagnostics, telemedicine, drug discovery, medical instrumentation etc. Our goal is to introduce the basics as well as the state-of-art research happening in this field. We want to ignite discussion about potential opportunities in this domain with an aim to inspire the new generation of engineers.

The rapid advancement in VLSI technology and system integration have made possible to design chips with more than a billion transistors. A specialized one-month summer training program from 16 th  June to 13 rd July 2024 has been scheduled at IIIT-A. The 10 th edition of  STPVD 2025 is technically co-sponsored by IEEE Circuit and System Society, Chapter UP Section. This training program will cover analog and digital integrated circuit design using commercial technology kits and simulation tools and exposure to fabrication methods and PCB design. The experts from Industry and academia shall be training the registered applicants.