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.
B.Tech – Artificial Intellgence and Data Science – 4 Years
B.Tech – Artificial Intellgence and Machine Learning – 4 Years
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
| 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 |
| 1 | Dr.T.Avudaiappan | BCQPA1081C | M.E., Ph.D | Machine learning, Gen AI and Cloud Computing | Associate Professor | 19.01.2017 | Yes | Regular | ||
| 2 | S.Murugavalli | BWPPM5495P | M.E | Machine Learning ,Computer vision , Internet of Things and Image processing | Assistant Professor | 16.02.2022 | Yes | Regular | ||
| 3 | M A Reetha Jeyarani | BEKPR9934R | M.E | Machine Learning | Assistant Professor | 16.02.2022 | Yes | Regular | ||
| 4 | D.Deena Rose | BZMPD3464M | M.E | Cloud security, Machine Learning, IOT, Deep Learning | Assistant Professor | 25-07-2022 | Yes | Regular | ||
| 5 | P.B.Aravind Prasad | BPKPA9921A | M. Tech | Machine Learning, Deep Learning and Computer vision. | Assistant Professor | 1/9/2022 | Yes | Regular | ||
| 6 | P.Jasmine Jose | AUTPJ5420A | M.E | IoT, Data Science | Assistant Professor | 15-12-2022 | Yes | Regular | ||
| 7 | Muthukumaran C | CNAPM0673A | M.E | Wireless Sensor Networks (IOT, MANET), Machine Learning | Assistant Professor | 19-01-2023 | Yes | Regular | ||
| 8 | T.Praveen Kumar | BGGPP5684L | M.E | Deep Learning | Assistant Professor | 05/06/2023 | Yes | Regular | ||
| 9 | A.Sumathi | GFCPS9433A | M.E | Machine Learning, Cyber Security | Assistant Professor | 5/6/2023 | Yes | Regular | ||
| 10 | R.Roshan Joshua | ERRPR6778G | M.E | Machine learning | Assistant Professor | 14/06/2023 | Yes | Regular | ||
| 11 | A Joshua Issac | ATHPJ6669E | M.E | Cyber Security & Network Security | Assistant Professor | 12-12-2023 | Yes | Regular | ||
| 12 | S.Geetha | BKGPG5481A | M.E | Cryptography and Network Security, Artificial Intelligence | Assistant Professor | 22-01-2024 | Yes | Regular | ||
| 13 | R.Tharchius | AHOPT4869R | M.E | Cyber Security & Network Security | Assistant Professor | 1.7.2024 | Yes | Regular | ||
| 14 | M.Arunprasath | ATUPA6615L | M.E | Cryptography and Network Security, Artificial Intelligence | Assistant Professor | 1.7.2024 | Yes | Regular | ||
| 15 | Joany Franklin | AJZPJ7075J | M.E | Operating System, Machine Learning | Assistant Professor | 23.04.2024 | Yes | Regular | ||
| 16 | G.Nalina Keerthana | AFIPN4149J | M.E | IoT, Web development , MAD, Network security | Assistant Professor | 22-01-2024 | Yes | Regular | ||
| 17 | SHYAMSUNDAR T | NXEPS5939A | M.E | Machine learning and software development | Assistant Professor | 08-07-2024 | Yes | Regular | ||
| 18 | M.Bharathi | GBFPB5314E | M.E | Data Science ,Data Mining | Assistant Professor | 19-07-2024 | Yes | Regular | ||
| 19 | S.Prabhasri | BEBPP9852F | M.E | IoT, Web development , MAD, Network security | Assistant Professor | 03-04-2023 | Yes | Regular | ||
| 20 | S.Chris Lavanya | AQSPC4432C | M.E | Machine learning and software development | Assistant Professor | 03-04-2023 | Yes | Regular | ||
| 21 | E.Sri Santhoshini | FPWPS7473P | M.E | Cloud computing, Cyber security | Assistant Professor | 15-07-2022 | Yes | Regular |
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:
â— Organize Faculty Development Programs (FDP) and workshops on digital analytics for academicians, research scholars, practitioners, and entrepreneurs.
â— Collaborate with organizations for value co-creation - applying contemporary practices and extending the frontiers of analytics and digital transformation through continuous engagement
Our Role
â— Create a hub for research and applied knowledge in the burgeoning field of digital marketing strategy and analytics.
â— Facilitate dialogue and exchange among academics and the business community.
â— Accumulate distinctive industry resources through active participation and exchange between member companies.
â— Focus on interdisciplinary research (marketing, strategy, statistics, computer science, etc.)
REGULATION 2020 - CURRICULUM AND SYLLABUS
REGULATION 2020 - CURRICULUM AND SYLLABUS
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.
FDP
|
1. |
Dr.T.Avudaiappan |
Practices On Deep Learning Models, Simulation Tools and Data Visualization Techniques in Cloud Computing
|
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
| 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 |
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