Satellite Image Processing is a prominent field of research and development that has attracted researchers' interest over the past few decades. There are various applications where satellite imaging is the only tool to produce effective results, e.g., land cover mapping, deforestation maps, urban area growth, flood mapping, etc., since satellite imagery can monitor large geographical areas. India has a long history of satellite missions, which were successfully operated in the past and continue to operate with a larger number of satellites every year. This shows the strength of our country in satellite missions and, thus, the satellite imaging system, which is as rich as that of any other country. Accordingly, a variety of satellite data is now available in the country for research purposes. The digital image processing and analysis techniques applied to the satellite images produce very useful information that can be utilized for various land cover applications. The proposed program is for beginners to learn the basics of satellite image processing and analysis tools effectively by providing exposure to various tools and discussing contemporary problems for future research.

The rapid advancement in VLSI technology and system integration has enabled the design of chips with more than a billion transistors. A specialized one-month summer training program from 19th June to 18th July 2026 has been scheduled at IIIT-A. The 11th edition of STPVD 2026 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. Experts from Industry and academia shall train the registered applicants.

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.

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.

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.