Events

About : The IEEE Computational Intelligence Society Chapter - IEEE Gujarat Section brings in a Symposium series to foster exchange of ideas and experience by the young researchers. It provides a discussion forum for advancement of their research and gain feedback on research work in the domain of computational intelligence. This is an initiative by IEEE CIS chapter - IEEE Gujarat section to build community for intellectual exchange and support the budding researchers. Intended Participants: Anyone interested in Computational Intelligence Domain Details of the next Symposium talk Topic: Person Retrieval from unconstrained surveillance videos About Speaker: Hiren J Galiyawala is a PhD scholar at Ahmedabad University and working as a Data Scientist at Rydot Infotech Pvt. Ltd. He obtained a Bachelor's degree (ECE) in 2007 from VNSGU and a Master's degree (Digital Systems – Electronics) in 2010 from the College of Engineering Pune / University of Pune, India. He has 11+ years of experience including industry, research, and academic. His research interest is in computer vision, biometrics, and video analytics. His publications are in reputed conferences and journals with leading publishers – IEEE, Elsevier, and Springer. He also holds professional certifications like International Software Testing Qualifications Board (ISTQB) and IBM Certified Solution Designer – Rational Functional Tester for JAVA. Registration: Interested may please register at (http://enotice.ieee.org/link.cfm?r=IH5JMBxiqPsQhyLis94k0A~~&pe=DYEHkOxGGEGzTNkTsy0YV3NwgpkSIARooxZctSKSGOuq_1X7On6H04fvj7MKASCD578ktPGuKDuQHLWY-sWp9g~~&t=TpjUFN8yygsOi4w7SdEvvQ~~) and we will mail you the meeting details. Abstract: Recent advancement of research in biometrics, computer vision, and natural language processing has discovered opportunities for person retrieval from surveillance videos using a textual query. The prime objective of a surveillance system is to locate a person using a description, e.g., a tall man with a white t-shirt and blue jeans carrying a backpack. He has brown hair. Such a description contains attributes like gender, height, type of clothing, colour of clothing, hair colour, and accessories. Such attributes are formally known as soft biometrics. They help bridge the semantic gap between a human description and a machine as a textual query contains the person's soft biometric attributes. Traditional biometric (e.g., face) fails to locate a person in the surveillance video due to low resolution, distance, and unconstrained environment. In such cases, soft biometric attributes like gender, clothing colour, and type are still deducible. It is also not feasible to manually search through huge volumes of surveillance footage to retrieve a specific person. Hence, automatic person retrieval using vision and language-based algorithms is becoming popular. Date: 26.07.2021 Time: 11.00 am to 11.50 am: 35 Mins talk + 15 Mins. Q&A Speaker: Mr. Hiren Galiyawala, PhD Scholar, Ahmedabad University, India Supervisor: Dr Mehul S Raval, Professor, Ahmedabad University, India Speaker(s): Hiren J Galiyawala, Ahmedabad, Gujarat, India, Virtual: https://events.vtools.ieee.org/m/277905

"Security used to be an inconvenience sometimes, but now it's a necessity all the time". Greetings from Silver Oak University IEEE WIE Affinity Group, Silver Oak University IEEE WIE Affinity Group always supports its members and encourages them to learn and explore upcoming technologies and industries that are changing the world. Keeping this in mind, we are organizing a talk on “Cyber Sahay” which will guide you to understand all the emerging issues and threats people are facing, what security measures should be taken in the virtual world, and what laws and steps should be taken against Cybercrime and cyber attacks. This event is exclusively for Silver Oak University IEEE SB members and E-Certificate for participation will also be provided. Grab this opportunity to learn more about safety in the cyberworld. Event details: Date: 28th July 2021 Time: 5:00 PM IST Virtual: https://events.vtools.ieee.org/m/278301

IEEE Silver Oak University Student Branch along with the Department of Computer Engineering, Silver Oak University in association with TechDefence Lab, is coming up with an insightful talk on “Cyber Security - a game-changer career". This visionary event aims to give participants a broader view into the field of Cyber Security along with its importance in the professional world. For this webinar, we have eminent expert Mr. Sunny Vaghela, Ethical Hacker, Founder & CEO at TechDefence Labs, InfoSec Researcher, Trainer, and Cyber Crime Consultant. He has been included in the “ET Industry Leaders 2021” listed by Economic Times & Times of India Group for his excellence in the Cyber Security Services Sector. He is awarded the title of “Times Men Of The Year 2018 - Cyber Security” by Times of India Group and “Indian Ambassador of Cyber Security 2018” jointly by CMAI, Ministry of MSME, Govt of India, AICTE, TEMA, and Digital India Initiative and “Rajiv Gandhi Young Achievers Award” as an IT Expert of Gujarat. Event Details: Date: 15th August 2021 Time: 11:00 AM IST onwards Virtual: https://events.vtools.ieee.org/m/279611

IEEE VGEC Student Branch is bringing an amazing workshop to enhance the knowledge of the features of MATLAB and to explore their hardware skills. - Date: 21st August 2021 - Time: 10:00 AM to 5:00 PM (with breaks at convienent timing). - Fees details: 1. For IEEE members: FREE 2. For NON-IEEE members: Rs.55 - Registration link: https://docs.google.com/forms/d/e/1FAIpQLScnFeYQrWjELZeO8iJ2_DlL88sx-G3dFpokLuiLuEJSYYeVEQ/viewform?usp=sf_link Speaker(s): Prof. Divyesh Vaghela, Agenda: - To teach basic simulation fundamentals. - Configuration of MATLAB software for embedded code generation. - To teach interfacing of MATLAB with DSP/ARM/ARDUINO. - Implementation of inverter circuits. Virtual: https://events.vtools.ieee.org/m/279367

In this talk, we will present and discuss the current trends and researches in video analytics. As surveillance cameras have been widely installed worldwide, although the main purpose of those cameras is for monitoring, the most important task is to be able to analyze video contents and extract useful information. Artificial Intelligence (AI) and deep learning-based computer vision techniques utilizing multi-layer neural networks are drastically improving the performance of video analytics to a certain extent. Several on-going researches on deep learning-based video analytics such as image super resolution, real-time multiple face recognition system, video anomaly detection and several implementations of embedded video analytic systems on FPGA and Single Board Computers will be discussed. Some use cases of utilizing video analytics will also be mentioned. Co-sponsored by: Indus University Speaker(s): Supavadee, Virtual: https://events.vtools.ieee.org/m/280006