About the workshop: Algebra and Analysis are two fundamental pillars of Mathematics, forming the foundation of numerous advanced areas with significant applications across almost all disciplines in which Mathematics is involved. The main aim of this training program is to provide students with a comprehensive understanding of fundamental concepts and applications of algebra and analysis through a series of structured lectures, interactive discussions, and collaborative problem-solving sessions, and prepare them for competitive exams such as JAM, NET, GATE, and NBHM Fellowship.

ADASIVA is an annual short-term course organized by the Computer Vision and Biometrics Lab. The course will be useful for PG and PhD Students and Young Professionals working with recent state-of-the-art methods in AI/ML/DL for a variety of applications in signal, image, and biometric processing, and will address how these approaches can be applied to real-world research problems. The course covers the essentials of machine learning and deep neural networks, as well as other models and their applications to practical problems in signal, image, and computer vision.

The Department of Applied Sciences, Indian Institute of Information Technology Allahabad (IIIT-A) is going to organise a workshop on Machine Learning in Survival Analysis with Hands-on R during July 06-11, 2026. This workshop integrates classical survival analysis with modern machine learning techniques for time-to-event data. Topics include regularized Cox models, survival trees, random survival forests, gradient boosting. Applications span healthcare, reliability engineering, finance, and social sciences. In the workshop, the participants will get enough exposure to build survival prediction models using ML methods, handle high-dimensional and non-linear survival data.

Generative Artificial Intelligence (GenAI) encompasses a class of computational models capable of producing novel content across multiple modalities, including text, images, audio, video, and synthetic data. These systems acquire representational knowledge from extensive training datasets through advanced deep learning techniques and subsequently generate outputs that exhibit statistical and structural similarity to the learned data distributions. The operational workflow of generative AI can be conceptualized in three primary phases: model training, task-specific tuning, and content generation. During the training phase, large-scale “foundation models” are developed by exposing neural architectures to diverse and voluminous datasets. The tuning phase further adapts these models to specialized tasks through approaches such as fine-tuning or reinforcement learning from human feedback. In the final phase, the model produces outputs that are iteratively evaluated and refined, often supplemented by mechanisms such as Retrieval-Augmented Generation (RAG) to enhance factual grounding and reduce error propagation.

Quantum computing research is at a high pace across the globe since it can solve many problems efficiently when compared with classical computing. The quantum features such as superposition, entanglement and interference are dangerous for classical cryptography algorithms (public key cryptosystem) that are used in real life secure communication. Even though technologists know about this danger, quantum insecure algorithms are used in the majority of the communication. There is a need to bring awareness to implement the quantum safe algorithms for the secure communication regardless of the complexity, cost and other factors. Also, there is a need for the development of quantum secure techniques to overcome the quantum attacks that can arise in the future. Hence, it is required for the researchers, industry practitioners and academicians to know about the need and present research and development in Quantum communication and information security.

Behavioral finance is an emerging area of study which considers the theories based on psychology to elucidate the anomalies in the financial market. Of late there is a lot of researches happening in the field of behavioral finance.

Department of Applied Sciences and Department of Information Technology are jointly organizing a Two-day workshop/FDP on "Next-Gen Computation: Harnessing AI and HPC for Breakthroughs in Biomedical and Bioinformatics Domains" from 28-29th March, 2026. The workshop is focused on recent advances at the intersection of artificial intelligence and high-performance computing for life-science applications.