ABOUT DEPARTMENT
The Department of AI & DS was established in the year 2023 with a sanctioned intake of 60 to offer B. Tech course. Data Science is transforming everything around us. Data Science is an interdisciplinary field with the ability to extract knowledge/insights from data – be it structured, unstructured, or semi-structured data. In today’s technical world where data is growing exponentially, data science ensures that the huge incoming data is properly handled, efficiently analyzed and extracts useful knowledge for business development.The Data Science Department delivers leading-edge, innovative methods for solving data-intensive science problems.
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.
Highly qualified and experienced faculty: The department has five teaching faculty with multidisciplinary expertise. Two of the faculty have completed their doctorate, and one pursuing Ph.D. Three faculty members are pursuing Diploma on Artificial Intelligence and MachineLearning at University of Hyderabad, Hyderabad(HCU).
Duration:4 years (Regular) / 3 years (Lateral Entry)
No. of Semesters:8 (Regular) / 6 (Lateral Entry)
No. of Seats: Total – 60 ( NRI Approval Status – Yes )
Eligibility:10+2 system of Education. Must have secured a pass in Physics, Chemistry and Mathematics in the qualifying examination.
Scope for Higher Studies: M.E. / M.Tech / M.B.A./ M.S.
VISION of The Department
To produce excellent standard, quality education of professionals by imparting cognitive learning environment, research and industrial orientation to become innovative Data Science Professional.
MISSION of The Department
- To develop professionals in the areas of math’s (probability and statistics, liner algebra and Calculus), natural language processing, text mining, and problem solving.
- To educate the students with latest technologies to update their knowledge in the field of AI and Data science.
- To impart quality and value based education and contribute towards the innovation of computing system, data science to raise satisfaction level of all stakeholders
- Enabling students to get expertise in critical skills with data science education and facilitate socially responsive research and innovation.
- Our effort is to apply new advancements in high performance computing hardware and software
FACULTY
Name of the Programme |
AI & DS |
|
| Approved Intake (2023) | 60 | |
| No. of Faculty Members | 13 | |
|
Cadre |
Number |
|
| Professor | 01 | |
| Assoc. Professor | 04 | |
| Asst. Professor | 09 | |
| Faculty Profile |
Qualification |
No. of Faculty |
| Ph.D | 02 | |
| Ph.D(Pursuing) | 05 | |
| Post Graduate | 13 | |
| Technical Staff | Technical Staff | 01 |
| Programmers | 01 | |
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List of Research Papers published for the AY 2023-24
JOURNALS
|
S. No. |
Name of the Faculty |
Title of the Paper |
Journal Name |
ISSN Number / DOI Number |
Publication Details |
Remarks |
|
1. |
Dr. R Suresh | GENETIC FEATURE SELECTION AND NAIVE BAYES FOR EFFICIENT HEART DISEASE PREDICTION | Journal of Theoretical and Applied Information Technology (JATIT) | Vol.101. No 12, ISSN: 1992-8645, E-ISSN: 1817-3195 |
www.jatit.org |
June 2023 |
|
2. |
P.Rajeshwari | Analysis of Optimization functions for Chest CT Image Super Resolution Using Deep Learning | INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS – IJCRT | Volume 11, Issue 10 October 2023 | ISSN: 2320-2882 |
https://ijcrt.org |
October 2023 |
BOOKS
|
Sl. No. |
Name of the Faculty
|
Title of Book |
ISBN |
Publisher |
Year |
| 1. | Dr R Suresh | Artificial Intelligence | Book Series Id: IIPV3EB09_G68 Future Trends in Artificial Intelligence | Indo-continental Academic Publishers
Registered Under MSME Government of India. ISBN 978-81-966517-3-2 |
October 2023 |
CONFERENCES
| Sl. No. | Name of the Faculty | Title of the Research Paper | Journal/Conference Name & Details | Publisher | Month & Year |
| 1. | Dr R Suresh | Post-COVID-Efficient and Reliable Cardiovascular Disease Prediction Using Random Forest and GA with KNN | Intelligent Computing and Communication, Advances in Intelligent Systems and Computing 1447, https://doi.org/10.1007/978-981-99-1588-0_13 | Springer Nature Singapore | September,
2023 |
| 2. | P Rajeshwari | Deep Learning Based Super-Resolution for Accurate COVID-19 diagnosis in chest CT Images | 2023 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES), by Siddaganga Institute of Technology, Tumkur, Karnataka. | IEEE Xplore | July,2023 |