The 3-Day Workshop aims at inculcating the concept of Scientific Research amongst the researchers by focusing of the philosophical aspects of theory building and statistical aspects related to theory validation.

The course has the objective of introducing the participants with fundamental of entrepreneurship development so that they can understand the requirements and challenges in this area. The applied aspect of this workshop will be the practical sessions where they can apply this knowledge in decision making. Following are the key learning objectives of this workshop

The Internet of Things, or IoT, refers to the billions of physical devices around the world that are now connected to the internet, collecting and sharing data. Predictions are made that the number of such devices would reach to 25 billion by this decade and majority of the services would be available through IoT. Naturally, development and maintenance of such IoT based products and services would require sufficient workforce equipped with knowledge of IoT technologies, more so in countries like India where the IoT boom is yet to pick up. With an aim to develop workforce in IoT, this course introduces to students, researchers and academicians the basic concepts of IoT through a practical view with emphasis on design, requirement, data interfacing and capabilities. The course would cover IoT fundamentals, blended with industrial case studies, design and development of IoT systems, cloud computing, and data analysis. Lab sessions will supplement the lectures.

The Fifth IAPR International Conference on Computer Vision & Image Processing (CVIP2020) will be held at Indian Institute of Information Technology Allahabad, Prayagraj, India, from December 4-6, 2020. CVIP is a premier annual conference focused on Computer Vision and Image Processing. With its high quality, it provides a great platform to students, academia and researchers.

Deep architectures are playing the most important role in the area of machine learning and are considered as the future technology and anticipated a complete paradigm shift in the area of artificial intelligence by the researchers. It is considered to be one of the most active areas of research in signal, image, vision and biometrics and comprises of supervised and unsupervised models of approach for detection/ recognition/ classification/ synthesization of objects. With the advent of extraordinary computation power and huge data sets, it is possible to model the most complex processes using deep architectures. With the advent of Deep learning architectures, almost all areas of signal processing have undergone significant changes in their approach. This is primarily because machine learning is at the forefront of solving many problems in computer signal, image, vision and biometrics which were thought to be either unsolvable or highly computationally intensive in the past. One of the key ideas which have facilitated this is the introduction of deep architectures, which form the basis of present day pattern based recognition problems. The proposed one-week course will be comprising of approximately 25 lectures followed by 15 hours’ worth of lab demonstration and hands-on approach is intended to help the participants familiarise themselves with Signal & Image Processing, Computer Vision, Biometrics and Machine Learning and pertains to how all of the approaches can be applied to research problems in real life. The course also covers essentials of machine learning, deep neural networks as well as the other models how they can be applied to solve practical problems in computer vision so that more people become interested in signal processing. Objectives: 1. Providing a platform to showcase the research work through technical paper and poster presentation. 2. Building awareness towards deep learning architectures. 3. Building the technical capacity in the area of Signal, Image, and Vision Processing via deep architectures. 4. Building communities of research students, educator, R&D, and Industry persons in this emerging area of research and development. 5. Providing hands-on tutorial sessions, where the participants can experiment with concepts and methods.

Winter Research Internship 2020 under Center for Cognitive Computing (CCC)

Data science for IoT is a multidisciplinary area that uses scientific methods, algorithms and systems to extract hidden knowledge and insights from data (Structured and Unstructured). It is the study of where information comes from, what it represents and how it can be transformed into a valuable resource in the creation of business and IT strategies. Data Science is a confluence of mathematics, statistics and computer science disciplines, and incorporates techniques like machine learning, cluster analysis, data mining and visualization. Hence, it is important to bring awareness among researchers & academicians and train manpower on data sciences for IoT to do innovative research work, projects, and create knowledge base. Therefore, there is both a great need and an exciting opportunity for the fraternity to develop theory, models, and algorithms in the domain of data science for IoT. The AICTE Training And Learning (ATAL) Academy sponsored 5-day FDP will bring awareness among researchers & academicians to discuss existing key progress and promising new directions.

Nanomedicine is a branch of medicine that applies the knowledge and tools of nanotechnology to the prevention and treatment of diseases. Nanomedicine involves the use of nanoscale materials, such as biocompatible nanoparticles and nanorobots, for diagnosis, delivery, sensing or actuation purposes in living organism. This workshop is an introduction to the world of nano research for beginners. The idea is to attract students, young researchers to the area of nanotechnology. Link for registration: https://docs.google.com/forms/d/1WjbN5XN0sXi9eZqjWSMLhL3V5p1GXQOXv6doq8Vprxo/edit