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Department of Computer Science and Business Systems

The Department of Computer Science and Business Systems (CSBS) at Karpagam Academy of Higher Education (KAHE), Coimbatore, offers a unique industry-integrated B.Tech programme in collaboration with Tata Consultancy Services (TCS). Designed in accordance with the National Education Policy (NEP), the programme aims to bridge the gap between core computer science education and modern business requirements.

The CSBS programme equips students with strong technical expertise in computer science while nurturing a deep understanding of business principles and organizational processes. The curriculum addresses the evolving needs of the IT and business industries by integrating computer science fundamentals with business intelligence, data-driven decision-making, and emerging digital technologies. A distinctive feature of the programme is its industry-aligned curriculum, developed with active inputs from TCS. Faculty members handling the course are trained by TCS, ensuring effective delivery of contemporary industry practices and real-world problem-solving approaches.

The department emphasizes hands-on learning through real-life business projects, fostering innovation, analytical thinking, and successful project execution. Students gain a strong understanding of technology abstraction, enabling them to design scalable and efficient solutions. Along with technical and business competence, the programme instills ethics and life values, shaping responsible professionals ready to contribute meaningfully to society. Through this holistic approach, the CSBS department at KAHE prepares graduates to excel as versatile professionals at the intersection of technology and business in a rapidly changing global landscape.

Vision

To provide quality technical and managerial education to transform students into industry-ready professionals with strong computing, business, and analytical skills, innovative research capabilities, and ethical values to contribute effectively to a sustainable and digitally empowered nation.

Mission

  • Train students in the fundamentals and emerging technologies of Computer Science integrated with Business Systems, Analytics, and Management principles, and to develop industry-relevant skills, an entrepreneurial mindset, and problem-solving abilities through experiential learning and industry collaboration.
  • Promote creative and innovative research in interdisciplinary areas of computing and business to address real-world industrial and societal challenges.
  • Inculcate integrity, ethical values, leadership qualities, and social responsibility among students, enabling them to become responsible professionals and citizens.

Programme

Programmes

  1. Under Graduate Programmes
    • B.Tech Computer Science and Business Systems (Strength: 61)
Curriculum
  • B.Tech Computer Science and Business Systems
    1. 2025-2026

Faculty

Name Qualification Designation Profile
Dr.K.Vanitha Associate Professor and Head Ph.D Click Here
Dr.R.Hariharan Assistant Professor Ph.D Click Here

PSOs

PROGRAMME SPECIFIC OUTCOMES(PSOs)

Engineering Graduates will be able to

1) Apply the knowledge of mathematics, science, computer science, and business systems to develop sustainable solutions for complex engineering problems by upholding ethical values to satisfy community and business needs.

2) Utilize advanced technologies to solve real-world problems and excel in careers, research, and higher education, in alignment with changing global trends and the pursuit of innovation in business and technology

PEOs

PROGRAMME EDUCATIONAL OBJECTIVES(PEOs):

1) To equip well in their professional career by acquiring enough knowledge in the field of Computer Science and Business Systems.

2) To equip students with strong foundations in Computer Science along with industry relevant knowledge of Business Systems, enabling them to create technology-driven solutions, enhance employability, foster innovation, and pursue careers or higher studies.

3) To exhibit communication skills, follow professional ethics and collaborate effectively on teams within global, environmental, societal context.

Infrastructure

Programme Program Code Year Section Strength Block Room No.
B.Tech. Computer Science and Business Systems CSBS I – 60 I 103

Publication

Dr.K.Vanitha Publications

S.No Author Name Title of the Paper Journal Name Year of Publication Volume Issue No PP
1. N Thrimoorthy,
R Chandramma, Soumya Unnikrishnan,
K Vanitha		 Ornstein Uhlenbeck Cache Obliviousness Neural Congestion Control in Wireless Network for IOT Data Transmission INTERNATIONAL JOURNAL OF COMPUTER NETWORKS AND APPLICATIONS 2023 10 1 68-83
2. Dr. Heli Amit Shah,
Sweta Kumari Barnwal,
Ms. Sakshi Sharma,
Arjun Singh,
Dr. Monika Abrol,
Vanitha K		 A Time-Frequency Grounded ECG Feature Abstraction Systems based Advanced Design for Improvement of ANN for CA classification INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING 2023 11 8 319–327
3. K Chokkanathan,
TR Mahesh,
M Mohamed Musthafa, K Vanitha,
V Vivek		 IEEE Xplore – 2023 International Conference on Network, Multimedia and Information Technology (NMITCON)
4. TR Mahesh,
T Rajan,
K Vanitha,
HK Shashikala		 IEEE Xplore – 2023 International Conference on Network, Multimedia and Information Technology (NMITCON) – 2023 – – 1-8
5. Greeshma G. S,Dr. Bindiya, Ahuja, Harshita Samota ,
Dr.K. Vanitha,
Alok Dubey,
Sheetal Mujoo,
Saneesh P. S.		 A novel Approach for Biomedical Text Classification Using Deep
Learning and NLP for Disease Prediction https://ijisae.org/index.php/IJISAE/article/view/5196		 INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS AND APPLICATIONS IN
ENGINEERING		 2024 12 3 21-30
6. K Vanitha, A Manimaran, K Chokkanathan, K Anitha, TR Mahesh, V Vinoth Kumar, GN Vivekananda Attention-based feature fusion with external attention transformers for breast cancer histopathology analysis IEEE Access 2024 12 – 126296 – 126312
7. K Vanitha, Mahesh T R, S Sathea Sree, Suresh Guluwadi Deep learning ensemble approach with explainable AI for lung and colon cancer classification using advanced hyperparameter tuning BMC Medical Informatics and Decision Making 2024 24 1 222
8. AMJ MD Zubair Rahman, R Mythili, K Chokkanathan, TR Mahesh, K Vanitha, Temesgen Engida Yimer Enhancing image-based diagnosis of gastrointestinal tract diseases through deep learning with EfficientNet and advanced data augmentation techniques BMC Medical Imaging 2024 24 1 306
9. TK Anjana, K Vanitha, Reshma S Ravi Survey for Agriculture Crop Yield Prediction and Recommendation Based on Deep Ensemble Learning Models 2024 International Conference on Emerging Research in Computational Science (ICERCS)-IEEE Publisher 2024 – – 1-6
10. K Vanitha, A Balajee, TR Mahesh, V Vivek, Yogesh Kumar, Deepak Ramesh Kasai An Extensible CNN Model for Lung Cancer Diagnosis Using CT Images 2024 International Conference on Emerging Research in Computational Science (ICERCS) 2024 – – 1-5
11. K Vanitha, TR Mahesh, A Aafiya Thahaseen, B Manivannan, K Anitha, Arastu Thakur Enhancing MRI-Based Brain Tumor Classification Accuracy through EfficientNetB3 and Advanced Image Data Augmentation Techniques 2024 International Conference on Emerging Research in Computational Science (ICERCS)-IEEE Publisher 2024 – – 1-6
12. Reshma S Ravi, K Vanitha A Survey of Cardiovascular Disease Identification and Prediction Using Machine Learning and Deep Learning Methods 2024 International Conference on Emerging Research in Computational Science (ICERCS)-IEEE Publisher 2024 – – 1-5
13. K Chokkanathan, SM Karpagavalli, G Priyanka, K Vanitha, K Anitha, P Shenbagavalli 2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS)-IEEE Publisher 2024 International Conference on Emerging Research in Computational Science (ICERCS)-IEEE Publisher 2024 – – 1-6
14. T Dhakshnamoorthi, M Giriraj, S Gokul, K Vanitha Improving Cyberbullying Detection Accuracy with Advanced Machine Learning Models 2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS)-IEEE Publisher 2024 – – 1-5
14. T Dhakshnamoorthi, M Giriraj, S Gokul, K Vanitha Improving Cyberbullying Detection Accuracy with Advanced Machine Learning Models 2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS)-IEEE Publisher 2024 – – 1-5
15. T Dhakshnamoorthi, M Giriraj, S Gokul, K Vanitha Novel Learning Approaches for Feature Representation and Classification Using Learning Approaches 2024 International Conference on Data Science and Network Security (ICDSNS)-IEEE Publisher 2024 – – 1-6
16. MD AL Mahedi Hassan, Md Forkan Hossain Fahim, Roshan Jha, K Vanitha, Noor Mohammed Abrar, Mahesh TR Optimizing deep learning based approach for brain tumor segmentation in magnetic resonance imaging (MRI) scans 2024 IEEE AITU: Digital Generation-IEEE Publisher 2024 – – 38-44
17. R Roopa Chandrika, K Vanitha, Aafiya Thahaseen, Vikram Neerugatti, Mahesh TR Number Plate Recognition Using OpenCV 2024 International Conference on Emerging Smart Computing and Informatics (ESCI)-IEEE Publisher 2024 – – 1-4
18. TR Mahesh, M Mohamed Musthafa, AMJ Md Zubair Rahman, J Viswanath, K Vanitha 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)-IEEE Publisher 2024 International Conference on Emerging Smart Computing and Informatics (ESCI)-IEEE Publisher 2024 – 2 1-5
19. K Vanitha, SM Karpagavalli, A Althaf Ali, K Anitha Performance Analysis of the Machine Learning Algorithms for the Early Detection of Breast Carcinoma 2024 International Conference on Emerging Smart Computing and Informatics (ESCI)-IEEE Publisher 2024 – 2 1-5
20. K Vanitha, M Abirami Detection and Prevention of Distributed Denial of Service Attack to IoT servers using Recurrent Neural Network with Long Short Term Memory 2025 5th International Conference on Soft Computing for Security Applications (ICSCSA) 2025 – 2 192-196
21. K. Vanitha; Vishwa.K; Sanjay. R; Sampath. S An Intelligent Crime Risk Prediction Framework using Behavioral Analysis and Advanced Machine Learning 2025 5th International Conference on Soft Computing for Security Applications (ICSCSA)- IEEE publisher 2025 – 2 1268-1273
22. K. Vanitha; Vishwa.K; Sanjay. R; Sampath. S Optimized LSTM-based Machine Learning Framework for Real-Time Crime Hotspot Prediction 2025 5th International Conference on Soft Computing for Security Applications (ICSCSA)-IEEE publisher 2025 – – 1289-1293
23. M Abirami, K Vanitha Graph Attention Network Towards Detection and Mitigation of Distributed Denial of Service Attack to IoT Servers 2025 International Conference on Inventive Computation Technologies (ICICT)-IEEE Publisher 2025 – – 1916-1921
24. K. Vanitha, T. R. Mahesh, V. Vinoth Kumar & Suresh Guluwadi Enhanced tuberculosis detection using Vision Transformers and explainable AI with a Grad-CAM approach on chest X-rays BMC Medical Imaging 2025 25 96 96(page 1 -18)
25. T Maragatham, K Vanitha, R Sivarajan Dual Space DTR-Net Learning Based Heart Disease Prediction 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)-IEEE publishers 2025 – – 1464-1471

Dr.R.Hariharan Publications

S.No Author Name Title of the Paper Journal Name Year of Publication Volume Issue No PP
1. R. HariharanD. Anto Maria Gideon Multiheaded Attention based Convolution Neural Network Towards Emotion Classification using Multimodal Datase International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) 2025
2. R Hariharan,
G Komarasamy,
S Daniel Madan Raja		 Implementation of ID-based Audit Protocols to Enhance Security and Productivity. Computer System Science and Engineering(CSSE) 2023 46 1 873-882
3. R Hariharan,
G Komarasamy,
S Daniel Madan Raja		 Public Auditing Using Identity Based Cryptosystems On Multi-Copy Data Integrity In Cloud. ICTACT Journal on Communication Technology 2022 13 3 2748-2752
4. R Hariharan,
G Komarasamy, S Daniel Madan Raja		 Enabling efficient cloud storage and privacy preservation with cloud auditing Annals of the Romanian Society for Cell Biology 2021 25 4 5730-5740
5. R Hariharan,
M Kalpana Devi,
K Umamaheswari		 Analysis of Spectrum Handoff in Cognitive Radio Network Using Spectrum Binary Particle Swarm Optimization spectrum 2020 8 11 115-123

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