The leaders of tomorrow are defined by the clarity of thought in translating their vision into action. Their words reflect the undying spirit to make it big in life and brace up the world for unforeseen challenges in the times to come. Currently pursuing Master’s in Management at ESMT Berlin, Mr Aaditya Jain, the alumnus of Class of 2021, Computer Science and Engineering, is one such promising leader who is on an endeavour to gear up his personal and professional limits with a solid vision and impeccable work ethic. The high-end Business magazine of Europe, ‘Brainz’ has recently featured his article titled ‘How to Be A Leader Even If You Don’t Have A Title (Yet)’.

Brainz magazine is a global digital periodical that brings influential entrepreneurs, coaches, and business experts to share their knowledge and stories with the world. It features articles across various themes- exploring business innovations, leadership mindsets, aspirational lifestyles, and many more. The magazine aims to disperse inspiring content to augment the quality of life in all aspects. In an interview with Snježana “Ana” Billian, Aaditya shared the top four tips on how to show leadership at work, even if you don’t have a leadership title. As far as he is concerned, one must lead oneself before venturing out to lead others.

Aaditya pronounces the importance of self-awareness as it gives the opportunity to capitalize on one’s strengths and weaknesses to create as much value as possible in every situation. “One of the most powerful things I was told by one of my professors back during my undergrad is: We have all the resources within us. This statement inspired me to embark on a journey of self-discovery” he remarked. Aaditya is also aware of the huge benefit of the internet. Sharing one’s views and experiences online does not require a title. He regularly shares his experience at work and the lessons he learned on leadership online. This makes it easier for him to reach out to like-minded people and create a shared value.

“The need to mould oneself as a proactive communicator and concoct a support network at professional space is essential to ensure one’s career advancement”, says Aaditya. He believes, that asking out for help is a quality that must be encouraged. He further went on to divulge how moving to Germany and settling in was not an easy job. But according to him, the greatest challenge was how to make the most out of it. Success in the words of Aaditya is, “Living my values while continuously growing and inspiring human leadership at work”.

Here is the link to his article: https://www.brainzmagazine.com/post/how-to-be-a-leader-even-if-you-don-t-have-a-title-yet

In recent years, human activity recognition has gained significant attention inside the scientific community. The enhanced spotlight is on the ground of its direct application in multiple domains. The latest research at the Department of Computer Science validates this assumption. Assistant Professor Dr V M Manikandan, and the 4th year B Tech Student Chaitanya Krishna Pasula have published a chapter titled An analysis of human activity recognition systems and their importance in the current era in the book Computational Intelligence Based Solutions for Vision Systems. The book is published by IOP Publishing Ltd.

Explanation of the chapter

Human activity recognition is one of the most interesting and active research areas in computer vision. More research efforts are being put towards automatically identifying and analysing human activities due to their emerging importance in everyday applications. It serves applications in various areas like security video surveillance, smart homes, healthcare, human-computer interaction, virtual reality, robotics, and digital entertainment. Numerous papers have been published in the domain of human activity recognition. This book chapter discusses the various applications of human activity recognition, different methods available for automatic activity detection from videos, and the advantages of the human activity recognition system. It also describes the challenges in designing and implementing human activity detection schemes. Researchers further explain the publicly available datasets used for training and evaluating the systems for human activity recognition. The efficiency parameters used to evaluate the human activity recognition systems are also briefed in this chapter. The chapter is concluded by comparing the methodologies and speculating the possibilities of future research in this field.

In the future, the researchers are planning to design and implement an activity recognition system to identify abnormal activities in public places for safety purposes. This book chapter will be a helpful reference for UG/PG/Ph.D students who aspire to research in the domain of activity detection from video.