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DEPARTMENT OF ARTIFICIAL INTELLIGENCE


ABOUT THE DEPARTMENT 

K.Ramakrishnan College of Technology proudly launches an innovative Department Artificial Intelligence  during the academic year 2020 - 21. Due to the exploration of the Internet, AI and DS deliver data-driven solutions using computational principles, methods, and systems for extracting information from data and modern computational systems that reveal capabilities of insight, way of thinking, learning and action that are typical of human intelligence. This course has been introduced to the students with the vision to provide them with holistic knowledge and applications in the field of AI and DS.

The basic objectives of this course are to train the students to acquire the skills to perform intelligent data analysis which is a key component in numerous real-world applications. With the tremendous amount of data generated every day and the computing power available, Data Science plays a seminal role in helping every business organization in identifying business trends and changes through advanced Big Data Analytics. Interpretation and prediction of business results and the future are no longer rocket science with a variety of techniques and tools such as statistical analysis, data aggregation, and data mining.

 

Programmes Offered
  • B.Tech – Artificial Intellgence and Data Science – 4 Years

  • B.Tech – Artificial Intellgence and Machine Learning – 4 Years

Vision
  • To be a center of eminence in imparting global knowledge and budding competent software professionals with research and innovative skills aimed towards betterment of society.
Mission
  • To impart quality education to learn and practice various hardware and software platforms prevalent in industry.

  • To Provide learning ambience to generate innovative skills and expose the students to broad research experience.

  • To groom our young students to become professionally and morally sound engineers to the society

FACULTY DETAILS


S. No.

Name

PAN No.

Qualification

Area of Specialization

Designation

Date of Joining

Date on which Designated as Professor/ Associate Professor

Currently Associated

(Y/N)

Nature of Association

(Regular/Contract/ Adjunct)

Date of Leaving

(In case Currently Associated is “No”)

1 Dr.T.AVUDIAPPAN BCQPA1081C M.E., Ph.D Image Processing Head and Associate Professor 24.11.2016 09.01.2017 Y Regular  

2

Ms.S.Murugavalli

BWPPM5495P

ME

CSE

Associate Professor

16/02/2022

28.6.2019

Y

Regular

-

3

Mrs.M.A.Reetha JeyaRani

BEKPR9934R

ME

CSE

Assistant Professor

16/02/2022

-

Y

Regular

-

4

Mr.V.Kumaran

BCNPK5780K

ME

CSE

Assistant Professor

20/06/2022

 

Y

Regular

-

5

Mrs. E.Sri Santhoshini

FPWPS7473P

ME

CSE

Assistant Professor

15/07/2022

-

Y

Regular

-

6

Mrs.D.Deena Rose

BZMPD3464M

M.E

CSE

Assistant Professor

25/7/2022

 

Y

Regular

-

7

Mr.P.B.Aravind Prasad

BPKPA9921A

M.Tech

CSE

Assistant Professor

01/09/2022

-

Y

Regular

 

 

LABORATORY DETAILS


Centre for Digital Analytics & Decision Science

Overview

The goal of the Center for Digital Analytics and Decision Science is to stimulate discussion and develop new ideas in digital marketing strategy & analytics. Through its various components, the Center will help industry and academic researchers develop new theories and implement them in their respective fields.

Organizations may now acquire data at a granular level because to the availability of digital technology. As a result, data-assisted judgments have become an integral aspect of every condition. However, 70% of all data acquired by organisations is never utilised. The amount of data necessitates the use of scientific approaches to examine the data and support judgments. Digital analytics has solved several complicated challenges in this area by using relevant scientific methodologies to the data generated. The use of statistical and mathematical approaches to create insights and recommendations regarding a problem is known as analytics.

Aims and objectives

Through the sharing of vital information and expertise as insights, the proposed centre attempts to make commercial sense of the massive data accessible and create value for the associated parties. The center's goals in this direction are as follows:

To aid the objective the following purposes are established:

● Organize Faculty Development Programs (FDP) and workshops on digital analytics for academicians, research scholars, practitioners, and entrepreneurs.

● Collaborate with organizations for value co-creation - applying contemporary practices and extending the frontiers of analytics and digital transformation through continuous engagement

Our Role

● Create a hub for research and applied knowledge in the burgeoning field of digital marketing strategy and analytics.

● Facilitate dialogue and exchange among academics and the business community.

● Accumulate distinctive industry resources through active participation and exchange between member companies.

● Focus on interdisciplinary research (marketing, strategy, statistics, computer science, etc.)

AI&DS CURRICULUM AND SYLLABUS


REGULATION 2020   -    CURRICULUM AND SYLLABUS

 

AI&ML CURRICULUM AND SYLLABUS


REGULATION 2020   -    CURRICULUM AND SYLLABUS

FACULTY PUBLICATION


1. T.Avudaiappan,” Clinical Application of Augmented Reality in Computerized Skull Base Surgery” Hindawi Plant-Derived Bioactive Compounds as an Antidiabetic Agent, Indexed bySCI.
2. T.Avudaiappan, “Empirical Investigation for Predicting Depression from Different Machine Learning Based Voice Recognition Technique” Hindawi Evidence-Based Complementary and Alternative Medicine, Volume 2022, Indexed by SCI.
3. T. Avudaiappan, “Hybrid Deep Learning Enabled Air Pollution Monitoring in ITS Environment” Computers, Materials & Continua ISSN: 1546-2226 Vol.72, No.1, 2022, pp.1157-1172, Indexed by SCI.
4. T. Avudaiappan, “An Improved Sparrow Search Algorithm for Node Localization in WSN” Computers, Materials and Continua, 2022, 71(1), pp. 2037–2051, Indexed by SCI.

FACULTY PARTICIPATION


FDP

1.

Dr.T.Avudaiappan

 

Practices On Deep Learning Models, Simulation Tools and Data Visualization Techniques in Cloud Computing

 

 

  1. Completed AWS Certified Solutions Architect – Associate

 

 

14.02.2022-19.02.2022

Online Mode,

SRM Institute of science and Technology

2.

M. A. Reetha JeyaRani

Artificial  Intelligence and Machine learning

09.05.2022 -14.05.2022

Online Mode,

M.Kumaraswamy  College of Engineering

 

 

 

 

 

 

 

 

 

 

 

 

 

 

vents Organized by department of AI

  • Foundation of Cloud Computing using aws on April 7th & 8th, 2022.

 

 

STUDENTS PARTICIPATION


EVENT EVENT NAME NO OF STUDENTS PARTICIPATED
Workshop Deep learning in Python-PUNE Cummins College 34
Workshop SCRS-Workshop on Python programming 50
Workshop Artificial Intelligence 42
NPTEL NPTEL Exams 4/11 - cleared
  • We have actively enrolled the students of AI & DS as the members  in “SOFT COMPUTING RESEARCH  SOCIETY”.