CSIR Skill Initiative

As a part of CSIR Integrated Skill Initiative, CSIR NIIST is offering several skill development courses for graduates, diploma holders, people from industries in various disciplines of Science and Engineering. Basic Knowledge generation, hands on experience in operation and maintenance of sophisticated equipments are the highlights of the course. The aim is to develop manpower to cater to the needs of scientific organisations and industries.

Admission 2021 Apply Online

Vision

Envision new challenges and opportunities in areas of core strength of the institution and thereby emerging as:

 Institution of international reputation through symbiotic alliance with industries and academia for high impact science, techno commercially important IP, technologies and products with direct impact on society.

 Pioneers in delivering innovative, cost competitive and environmentally acceptable processing technologies based on the expertise in functional materials, agro-products, bioactive molecules and mineral processing.

 Center of Excellence for advanced materials in energy, security, diagnostics and strategic applications.

 Consultant and service provider to MSMEs and industries thus becoming a solution provider to societal and environmental issues such as (air/water) pollution, waste management, effluent treatment etc.

Courses

Application of Artificial Intelligence in Environmental and Process Engineering

Methods of Teaching

Mode of training: Online

The theory classes will be taught in English.

Smart classroom tools will be used for conducting theory classes and course materials will be given to candidates.

Course Fee

Application of Artificial Intelligence in Environmental and Process Engineering

Students: 500/-

Companies/Faculties/Govt. bodies: 1000/-

Payment Mode: Online

For Account Details click here

Mission

To remain as a dynamic, vibrant and responsive public organization serving public, private, social and strategic goods through interdisciplinary research in the areas of Chemical Sciences & Technology, Materials Science & Technology, Agroprocessing & Technology, Microbial Processes and Technology, Environmental Technology and Phytopharmaceuticals & Drug intermediates.

Course Objectives

Application of Artificial Intelligence in Environmental and Process Engineering

Knowledge in Artificial Intelligence will be useful to run efficient analysis of complex data arrays for achieving higher production performance, quick product innovation, scale up of process and production systems. One of the benefit of AI is generating all of the relevant data for a process and its influencing environment, and making this information available for a ‘big data’ solution, so that it can be utilized to its full extent. AI can help support participants by providing soft skill, that enhance their learning experience. Once participants gather AI knowledge they are going to expect the same or better best-of-breed technology to be present. By introducing to them to AI, early in their education/research can help them properly and prepare for real-life scenarios they may face in the future professional carrier. Knowledge in AI will benefits to better understanding of processes which will encourage the development of new models, improve operating conditions, generate better- products quality, process operations, yield improvements and increased process performance etc.

Topics Covered

Application of AI in Environmental and Process Engineering

Applications of AI in chemical/ Biochemical/environmental and related process.
Process optimization techniques
Response Surface Methodology, Artificial Neural Networks (ANN), Genetic Algorithm (GA), Fuzzy Logic, Fuzzy control, etc.
Data mining, Data statistics, Big data analysis
Heuristic knowledge; Rule-based knowledge; Decision trees; Object Oriented Programming, etc.
Case studies, etc.

Resource persons

Application of AI in Environmental and Process Engineering

Dr. Raghunathan Rengaswamy, IIT Madras

Dr. Vimal Kumar Srivastava, IIT Roorkee

Dr. Shankar Narasimhan, IIT Madras

Dr. Prabirkumar Saha, IIT Guwahati

Dr. Vimal Kumar, IIT Roorkee

Dr. Madhusree Kundu, NIT Rourkela

Dr. Tarak Patra, IIT Madras

Dr. Partha Kundu, Sr. Scientist, CSIR-NIIST

Mr. Dhani babu Talakala, Scientist, CSIR-NIIST