Time-dependent sequential data emerge in many key real-world problems, including areas such as climate, robotics, economics, entertainment, healthcare and transportation. The increasing volume and complexity of time series data in modern applications highlight the importance of scalable and flexible time series learning techniques. Predominant methods in machine learning often assume i.i.d. observations, which is generally not appropriate for time series data. Therefore, there is both a great need and an exciting opportunity for the machine learning community to develop theory, models, and algorithms for processing and analyzing large-scale complex time series data. This Workshop will bring awareness among researchers & academicians at the forefront of time series analysis and algorithms to discuss existing key progress and promising new directions.

2-days self financed workshop to provide an insight to learning of computational biology. The workshop shall provide some idea of computational biology to researchers, students and academicians. It will provide conceptual knowledge of protein structure prediction and molecular docking. The participants shall get to know more about the topic through lectures as well as hands-on experience. This will help them to innovate and improve their skills in computational biology. LAST DATE OF REGISTRATION: 26th August 2020 Registration Link: https://docs.google.com/forms/d/1hgPT2xVSmc_1_CFUp8pWu69pCy8BDpgY6-WPaiu7-vo/edit

The colloquium aims to provide a platform for the students, researchers and academicians to share the knowledge and ideas on recent trends in the field of technology and management on the issues and challenges presently faced in the networking folklore particularly in the prevailing pandemic scenario that has given quantum jump to the flow of information and social networking. Moreover, the economic and political issues in the international level also provided a boost to the phenomenon of information flow and accordingly created various sentiments and moods in the social network environment. Therefore, the objective to hold this colloquium on information flux is to connect the stakeholders and identify trends on how information is shaping the society and how abundance of information is making an impact on societal resilience.

The FDP is aimed to motivate the faculty in CS and IT, largely from North Eastern Region of Karnataka, and VTU affiliated Institutions, to adopt good practices in implementing effective Teaching, Learning and Evaluations of CS/IT Courses

Innovation Management and Entrepreneurship Development is gradually becoming very significant in various areas of business. Innovative start-ups and new enterprises act as a catalyst for the economy. Novel opportunities and market gaps are identified and resources are allocated to them to produce something new and useful. The present firms innovate in order to beat the competition and have an edge from their counterparts. The need of the hour is to develop effective policies to cater to the new challenges such that the modern day problems can be solved. The workshop focuses on the basic and advanced techniques of innovation and entrepreneurial development and how it can be imbibed to the participants.

Sexual equality or Gender equality is a fundamental human right which is required to achieve peaceful societies with full human potential. It also shows that empowering women leads in enhancing productivity and economic growth. But, unfortunately there is along way towards achieving the full equality(rights and opportunities) between women and men.
Registration Link

Wireless Sensor Networks Lab Integrated with Internet of Things and Aerial Mesh Networks is organizing a workshop on Internet of Things on June 20, 2020. The objective of workshop is to equip Research and Engineering students with the essential tools for designing and configuring IoT related projects. The workshop will comprise of hands-on related to system configuration, with theoretical description

Organizations today operate in a world surrounded by data and data that is understood and analyzed smartly can play a pivotal role in determining the success of many businesses. Data Science, through its various inherent tools and techniques, is successfully adding value to all the business models by using statistics and deep learning to make better, relevant and timely decisions. Understanding the dynamics of data and knowing how to deal with data has therefore become a critical skill in an organizational context. No wonder that Harvard Business Review has termed Data Scientist as the Sexiest Job of the 21st Century!