Winter Research Internship 2019 under Center for Cognitive Computing (CCC)

A worthwhile, relevant and significant interaction demand the speaker to listen to the students. It is important for a teacher or a researcher to make the grounds of the students as strong as possible in his interest field. In future, these students and researchers also have the same responsibility for the budding scientists. This chain evolves the science through different stages as in Problem, Imagination, Experiment, Observation and Conclusion which is what we call the Science is.

The International Conference on Machine Intelligence and Signal Processing (MISP-2019) will be held at Indian Institute of Technology, Allahabad, India, on September 7-10, 2019. This conference is meant for researchers all over the globe interested in the areas of data mining, artificial intelligence, optimization, machine learning methods/ algorithms, signal processing theory and methods, and applications to human brain disorders like epilepsy, Alzheimer’s, sleep disorders etc. Other applications of machine learning and signal processing techniques are also welcome.

An Opportunity of learning as well as joining in IIIT-A's PhD Programme.

In today's world, Big data analytics and stream processing have taken great hype due to the digitization of the environment along with the integration of smart data computing services and interconnectivity. This digitized world offers huge applications especially in the fields of agriculture, healthcare, smart education, economy, energy, industry, and a lot more. Most of the required data is gathered by the countless number of sensor devices being applied in the vicinity of humans to identify certain activities or scenarios. In order to process such a huge never-ending stream of data, there is a need to re-think the way data is processed for both cases i.e. data-at-rest and data-in-motion. In order to have knowledge about the latest trend in this field, in this IEEE CIS Summer School on Big data analytics and stream processing is aimed at highlighting the tools, techniques, and applications from the perspective of future intensive applications. To serve this purpose, this IEEE CIS Summer School features a large number of keynote speakers/plenary/invited talks on advanced topics and also offers a good platform for the participants for the innovative and entrepreneurial ideas. For more details, please visit : https://bdasp.iiita.ac.in/index.html

The Workshop will focus on topics such as how to structure your manuscript with attractive title, write abstracts and compose the covering letter for the publisher including publication ethics and how to handle peer-review comments etc. This workshop will be beneficial for all faculty members and researchers interested and involved in getting their research published in international renowned publications. Who Can Participate? The workshop content is specifically designed for authors. The following group of Faculty members, research scholar sand M.Tech Students interested in writing and publishing manuscripts and journal articles will find the workshop suitable. Registration Link – https://springernatureauthorworkshopregistration.eventbrite.co.uk

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/ synthesizing the objects. The proposed one-week course will be comprising of approximately 20 lectures followed by 14 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.
Event Website: https://cvbl.iiita.ac.in/adasiva2019/

Behavioural 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 are lots of researches happening in the field of behavioural finance. The course has the objective of introducing the participants with fundamental of behavioural finance and intends to take them to a stage where they can apply this knowledge in everyday decision making.