This comprehensive program takes you on a journey through the theoretical foundations and practical applications of Artificial Intelligence, equipping you with the skills and knowledge in high demand across industries.

The rapid advancement of Artificial Intelligence (AI) and Deep Learning (DL) has significantly transformed various sectors, including computer vision, healthcare, finance, transportation, manufacturing, and education. To harness this transformative potential, it is essential to equip young researchers and students with advanced knowledge and hands-on skills in Deep Learning.

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.

Greetings from the Indian Institute of Information Technology Allahabad (IIIT-A), an Institute of National Importance established by an Act of Parliament. We are pleased to announce that admissions for the M.Tech programs in Biomedical Engineering and Bioinformatics for the 2026 batch are now OPEN. We invite your final-year undergraduate and postgraduate students, as well as faculty members, to explore these specialized programs designed to meet the growing demands of the healthcare and life sciences sectors. The recent global health challenges have underscored the critical need for innovation at the intersection of technology and biology. There is an unprecedented demand for skilled professionals who can engineer solutions for screening, diagnostics, drug discovery, telemedicine, and advanced medical instrumentation. An M.Tech from IIIT-A equips students to become part of this vital workforce. Why Choose IIIT Allahabad? Pioneering Interdisciplinary Focus: Our programs are uniquely positioned at the convergence of information technology, engineering, and life sciences. Expert Faculty: Learn from a pool of qualified and experienced faculty members actively engaged in cutting-edge research. World-Class Infrastructure: Benefit from state-of-the-art laboratories and computational resources. Excellent Placement Record: Our graduates are highly sought after in both industry and academia. Hands-on Training: Engage in vocational training programs at partner hospitals and industries. Robust Research Support: Access in-house project facilities, financial support for conferences, and mentorship for higher education (Ph.D.). Rich Academic Environment: Choose from an eclectic collection of electives and utilize our excellent library and e-resources. Professional Networking: Be associated with the "National Biomedical Engineering Society" chapter at IIIT-A. Who Can Apply? Admissions are through GATE-qualified candidates via CCMT. Eligible Qualifying Degrees: B.E./B.Tech in any branch of Engineering or Technology (e.g., Biotechnology, Biomedical, Electrical, Electronics, Computer Science, IT, Mechanical, Instrumentation, etc.) M.Sc. in Physics, Biophysics, Chemistry, Biochemistry, Biotechnology, Microbiology, Life Sciences, or allied areas. MBBS / B.Pharm. and other allied pharmaceutical sciences. Why Specialize in Biomedical Engineering or Bioinformatics at IIIT-A? Our curriculum and research labs are designed to prepare students for the future of healthcare. Active Research Areas include: For Biomedical Engineering: Bio-instrumentation, Biomechanics, Medical Imaging, Biosensors, Neural Engineering, Biomaterials, 3D Bioprinting, Organ-on-Chip, and Telemedicine. For Bioinformatics: Drug Design, Computational Biology, Genomics & Proteomics, Biological Data Mining, Molecular Modeling, and Systems Biology. Common & Collaborative Areas: Healthcare Telematics, Bio-MEMS, Drug Delivery Systems, Bio-nanotechnology, and Biomedical Optics. Possible Career Paths After Graduation Our alumni are well-prepared for diverse and impactful roles, including: Core R&D: Biomedical Researcher, Bioinformatics Scientist, Biomaterials Engineer, Drug Discovery Analyst. Clinical & Industry Roles: Clinical Engineer, Quality Engineer, Medical Imaging Specialist, Clinical Trials Coordinator. Tech & Software: Health Informatics Specialist, Software Engineer (Healthcare domain), Computational Biologist. Emerging Fields: Prosthetics Engineer, Neural Engineer, Tissue Engineering Specialist. Strategic Roles: Intellectual Property & Patents Officer, Regulatory Affairs Specialist. Contact Us for Queries For more information or any related queries, please feel free to contact us: Head of Department (Applied Sciences): +91-532-292-2197 | hod.as@iiita.ac.in Dr. Amit Prabhakar: +91-9838146642 | amit@iiita.ac.in Dr. Sangeeta Singh: +91-9458867034 | sangeeta@iiita.ac.in Dr. Ratan K Saha: +91-9532123153 | ratank.saha@iiita.ac.in We request your kind cooperation in disseminating this information to your students and colleagues.

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.

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.