Dr.K.Dhayalini is currently serving as HOD-EEE at K.Ramakrishnan College of Engineering, Trichy. She has more than 24 years of good teaching and research experience with her areas of interest including Power system optimization, Renewable Energy systems, FACTS, and Power Electronics and drives. She has published more than 90 papers in reputed international journals and conferences, and has published four books and has five patents to her credit as well. She has been a recipient of Energy Excellence award, Vision 2020 award, Women achiever award and ISTE Periyar Best teacher award for the year 2020.

KRCE Trichy

What latest program do you offer that helps students stand apart from the crowd?

“AI and Data Science with advanced futuristic approaches”

Considering the need for Energy consumption and to meet the demand in the Energy sector, it is necessary to obtain deep knowledge on Energy availability and its related fields. The techniques associated with study on Energy availability are Artificial Intelligence, Machine Learning and Data Sciences. In this modern world of data handling, an Electrical engineer should be well versed and should possess vast knowledge on these new core sectors. So in our curriculum, Artificial Intelligence and Data Science are included in the course framework along with conventional programs in Engineering.

What are the factors that make this program the best for the students to opt?

“A step ahead for a better future and sustainable life”

In this data driven world, data analytics has extended its wings of application-oriented algorithms for renewable energy systems. The role of Data analytics in forecasting techniques for renewable energy systems is the need of the hour. The demand for energy is on a progressive rise every year. The need to consume and derive power from renewable sources such as wind and solar, needs effective and accurate forecasting techniques. It can be realized only by combining Artificial Intelligence and Data sciences to analyze and arrive at a solution. Artificial Intelligence and Data driven algorithms help an electrical engineer to realize the wind and solar farms to enhance production. The students as well find the course very interesting since many innovations, nature inspired algorithms and ideologies evolve during course work. 

What will you say are the best practices in the course you’re offering?

“Integration with best practical learning techniques”

The choice based credit system in the program provides an opportunity for the students to choose a course based on their interest. Syllabus is framed with course objectives and course outcomes which help to meet the industry demands and latest technologies like e-vehicle, smart grid etc. ICT enabled education is implemented and also processed successfully. MoU with core companies and industries, Industry Internship, Implant training is provided which will be helpful to understand the course in a better way. Content beyond the syllabus is framed for each course such that it provides awareness on current situations. Moreover, we are constantly examining our own practices to improve our courses.

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How does the program ensure that students are being prepared for the future?

“Upskilling and enabling students for career development”

Program is NBA Accredited and provides the basic understanding of the current trends like renewable energy, electric vehicle, smart grid, IoT, Machine Learning etc. It will help the students to be industry ready graduates. The coding skills of both circuit and Non circuit branches are being developed by using ICT labs. University approved research centres and research labs are available for students to perform experiments. It is very important to make students more adaptable to each and every current situation than looking at certifying them through the course. The courses were well designed with experts from industry and academia through MoUs and collaborations, which entitles the course to be more suitable for recruiters to consider students for their job openings. Also, with advanced and new design of curriculum, students are able to get intelligence.

How do you train your faculty to deliver this program to the students?

“Online and offline training programmes”

It is always necessary to understand the needs of the learners and look into the current scenario which necessitates educators to be well advanced. Both virtual learning and mobile technology play a vital role in requiring educators to equip themselves with technology advancements. Various faculty development programs, workshops, and training programs are conducted to make the educators more efficient and adaptable to deliver the program to the students. Sources like NPTEL, AICTE, SWAYAM and IITs offer good training programs for faculty members.

How do you tend to build an industry-connect with this program?

“Collaborations and industrial training courses”

Our college has signed different M.O.U with business entities and industrial companies. Business tourism, industrial tour and some industrial training can be imparted to the students. Industrial and business organizations' work can be screened visually inside the classroom that definitely provokes interest among the students. We incorporate the industrial and business training courses (NPTEL) run by the government into the student curriculum, and convert government-run industrial and business training classes to one credit course and add-on credits. These led to more student participation and thereby enhancing skills as per the industry needs and expectations. 

What type of projects are students working on through this program?

“Differential projects whetting diverse skills”

Students work on different IoT projects such as Health and Lifestyle Wearable Electronics, Industry Indoor Air Quality Monitoring using wireless network, IoT Retail Smart Vending Machines, Biometric System, Security Camera and Door Unlock System, etc. Smart Irrigation Systems that can improve crop yields while saving water has also been devised. Touch Based Home Automation System, Smart Cities/Power Grid/Street Lighting, IoT Based Weather Reporting System, Traffic Management System, Early Flood Detection and Avoidance, and Energy Prognostics are some recent projects where students take part. In addition, various Machine Learning Projects that include Stock Price Prediction, Wine Quality Testing, Bitcoin Price Predictor, Titanic Survival etc. are designated for students in the respective discipline. Moreover, Data Science Projects such as Driver Drowsiness Detection, Movie Recommendation System, Traffic Signs Recognition, Image Caption Generator and Handwritten Digit Recognition are taking league among students as well. Deep Learning is probably the most prominent technique in the field of Machine Learning and includes Image Classification, Gender Recognition Using Voice, Human Activity Recognition with Video Classification, Human Neural Network, etc. These projects will let students dive deep into this field and enhance their skills to another level. All these projects will assist in making a career in the wonderful professional world of the 21st century.

What are the benefits and career options after pursuing this course?

“Advanced skills with large scale job perspectives”

The Internet is a helm of things and with advancements in technologies; it is creating great opportunities with domains like Artificial Intelligence and IoT in both the public and private sector. By doing M.Tech in Artificial Intelligence, students get an opportunity to obtain the knowledge about both foundational and experimental components of AI and Machine Learning. Apart from the courses which offer specialization in Artificial Intelligence, the students are also provided with an option to explore some applied areas like natural language processing, computer vision, and robotics and software analysis. Industry careers including innovation and problem solving using Artificial Intelligence (AI) and Machine Learning (ML) technologies and research careers in Computer Science areas are awaiting for specialized students. IoT also helps entrepreneurial pursuits reach the market faster and interact with their customers in a whole new way. It also gives entrepreneurs an uncanny ability to remotely manage and monitor Internet connected things and services that they offer to customers. 

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How can you say the program prepares students for the future?

“Possibilities of solving day-to-day issues”

Engineering streams like Mechanical, Electronic and Electrical have a direct connection to AI and IoT. Strong analytical skills, Technical knowledge, Soft skills with effective communication, creative thinking and problem-solving capability are few of the other requirements that would fetch a desired career in AI and IoT. The Internet of things is a platform where regular devices are connected to the Internet, so they can interact, collaborate and exchange data with each other. While the Internet of things equipped multitude of domains and millions of devices with connectivity everyday there are still more domains that are quite interesting, they are IoT in everyday life, IoT in HealthCare, IoT in Smart Cities, IoT in Agriculture, IoT in Industrial Automation, IoT in Disaster Management. The IoT has amalgamated hardware and software to the internet and provides knowledge and hands-on training to students to create a smarter world. 

What employment opportunities are available for students pursuing this course?

“Faster developing technological fields in AI and IoT”

Data, being the primary and vital part of AI and IoT, a data analyst is the fastest growing job perspective for younger students. One needs to have the skill of managing, analyzing, and storing the data. A data analyst should also have the skills needed to effectively communicate findings through visualization. UX Specialists are experts in understanding how humans interact with tools and equipment, thus helping the computer scientists develop new advanced software. Computer scientists and researchers have varied responsibilities depending on the specializations and field of operations. Also, IoT involves internetworking of various physical devices in a complex way. Hence the requirement for network engineering, planning, management, support becomes utmost important. IoT also offers lucrative jobs to hardware engineers, designers, and network security personnel. Engineers, designers with wireless, Bluetooth and other connectivity solutions are welcomed here. An important aspect of AI, this is a growing field and the world is short of people to work on this. Individuals in this role use their complex understanding of both language and technology to develop systems through which computers can successfully communicate with humans.