IIIT-Allahabad | Events

Events | Institute Happenings

3rd IEEE CVMI 2024 Conference

Published on 13th Feb, 2024

2024

20

Oct

3rd IEEE CVMI 2024 Conference on IIITA

bout: The present world is witnessing rapid advancements in the field of Information Technology, specifically, in the areas of Computer Vision and Machine Intelligence, cherished by society and industry. The amount of Research and Development activities across the globe has been drastically scaled up from the past one decade in these research areas. Hence, a new state-of-the-art Computer Vision and Machine Intelligence (CVMI) Conference avenue was conceived by Computer Vision and Biometrics Lab (CVBL), Department of Information Technology, Indian Institute of Information Technology Allahabad, India for the researchers to disseminate their research outcomes in 2022. 2nd CVMI 2023 was conducted by ABV-IIITM Gwalior. The 3rd version of CVMI is being organized during October 19-20, 2024 at IIIT Allahabad, Prayagraj, India.


Workshop on Advances in Internet of Everything (9th July to 14th July, 2024)

Published on 21st May, 2024

2024

09

July

Workshop on Advances in Internet of Everything

The primary aim of workshop is to provide participants with a comprehensive understanding and hands-on experience in the domain of Internet of Everythings (IoE). We aim to equip attendees with the knowledge, skills, and insights necessary to navigate and contribute to the ongoing technological revolution in industries across the globe. This workshop is to motivate researchers to work in the area of internet of things, sensor network, industrial IoT, and smart city applications. Bring academicians, researchers, industry practitioners and students to discuss the importance of Internet of things and Industrial IoT .Provide practical experience on technologies.At the end,a capstone will be given to the participants to encourage the utilization of the learnings.


7th Workshop on Machine Learning & Data Analytics (MLDA)

Published on 17th Apr, 2024

2024

01

July

7th Workshop on Machine Learning & Data Analyt

Aim of the workshop Motivate researchers to work in the area of Machine Learning, Data Analytics and Data Security. Objectives of the Workshop Bring academicians, researchers, industry practitioners and students to discuss the importance of machine learning, data mining and data security. Provide practical experience on technologies. About the workshop This is the sixth workshop in the series and will be conducted online. Workshop will address the basics and recent research work on machine learning, security and data analytics. In addition, the integration of three dimensions will be discussed with its importance and a project.


SUMMER TRAINING & PROJECT ON ARTIFICIAL INTELLIGENCE & ROBOTICS - 2024

Published on 22nd Mar, 2024

2024

26

June

SUMMER TRAINING ON ARTIFICIAL INTELLIGENCE & R

The Summer Training (4 Weeks Offline : 26 June 2024 – 23 July 2024) on Artificial Intelligence & Robotics will provide a comprehensive understanding of the four key areas of AI – Machine Learning, Deep Learning, Reinforcement Learning, and Robotics. Participants will learn how to design, develop, and deploy AI-based solutions for real-world problems. In addition to the core training, this program offers a project assistance program (2 Weeks Online : 24 July 2024 – 06 August 2024) focused on Machine Learning. This post-training support will guide you through the practical application of your newfound knowledge. Under the mentorship of experienced instructors, you'll tackle a real-world Machine Learning project, gaining valuable hands-on experience and solidifying your learning.


Summer Training Program on VLSI Design (STPVD 2024)

Published on 16th Apr, 2024

2024

24

June

Summer Training Program on VLSI Design (STPVD 2024

The rapid advancement in VLSI technology and system integration have made possible to design chips with more than a billion transistors. A specialized one-month summer training program from 24 th  June to 21 th July 2024 has been scheduled at IIIT-A. The 9 th edition of  STPVD 2024 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. The experts from Industry and academia shall be training the registered applicants.


8th Summer School on Behavioural Finance

Published on 09th Apr, 2024

2024

10

June

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 is a lot of researches happening in the field of behavioural finance.


Training in Linear Algebra, May 30 - June 01, 2024

Published on 21st May, 2024

2024

30

May

Training in Linear Algebra, May 30 - June 01, 2024

Linear algebra is the study of vectors and linear functions. It is considered a basic concept in the modern presentation of geometry. It is mostly used in Physics and Engineering as it helps to define the basic objects such as planes, lines, and rotations of the object. Overall, linear algebra is a basic and compulsory subject for BSc, MSc, and PhD students. The training program will consist of lectures from renowned experts nationwide followed by tutorial sessions. We also emphasize on the fact that a variety of topics ranging from vector spaces, systems of linear equations, inner product spaces, and such topics based on JAM, GATE, and UGC-CSIR NET exams will be covered in this program.


Conference on Graph Theory and Additive Combinatorics, May 03-05, 2024

Published on 05th Apr, 2024

2024

03

May

Conference on Graph Theory and Additive Combinato

This conference aims to motivate and expose PhD students and researchers from different areas of science and engineering to the area of Graph Theory and Combinatorics. It also aims to provide a platform for exchanging ideas and exploring the possibility of future collaboration for researchers working in different areas of Discrete Mathematics and Related Fields.