CSE FACULTY Dr.Vivek Veeriah

Dr. Vivek Veeraiah

Professor

Name of the faculty: Dr. Vivek Veeraiah

Designation: Professor

Qualifications: Ph.D.

Area of specialization: IoT, Machine Learning

Email id: Vivek@ssahe.in

Experience in years: 10

Membership in professional bodies: MISTE

Citations: 511
H-index: 12

DETAILS OF PH.D STUDENTS GUIDING

NameResearch AreaUniversityStatus
Shwetha M. KIoT& Image Processing SSAHE, Tumkur PURSUING
Deepak PaulswamyIoT& Image Processing SSAHE, Tumkur PURSUING
Bhargavi MMachine LearningSSAHE, Tumkur PURSUING

Papers published in Journals:

  • Veeraiah Vivek & Thejaswini, K. & .R, Dilip& Jain, Sanjiv &Sahu, Aradhana &Pramanik, Sabyasachi & Gupta, Ankur. (2023). The Suggested Use of Big Data in Medical Analytics by Fortis Healthcare Hospital. 10.4018/978-1-6684-5347-6.ch012.
  • Veeraiah V. ., K. O., T. ., Talukdar, V. ., Islam, S. ., Ajagekar, S. S. ., &Yellapragada, R. K. . (2023). Deep Learning-Based Classification for Healthcare-Based IoT System for Efficient Diagnosis. International Journal of Intelligent Systems and Applications in Engineering, 11(11s), 165–174. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3443
  • Veeraiah Vivek &Karthiga, B. &Akram, Chinnahajisagari&Koujalagi, Ashok &Nanthakumar, S. & Sharma, Vipin & Pandey, Digvijay. (2023). Role of Artificial Intelligence in Making Wearable Robotics Smarter. 10.1201/9781003317456-8.
  • K, V. Veeraiah, V., Pitambar Rane, K., Thumma, R., Sai Srinivas, T. A., & D. Bhange, A. (2021). Interpretive Mathematical And Structural Modeling Approach For Implementing Iot In Indian Logistics Applications. Int. J. of Aquatic Science, 12(1), 226-236.
  • Singh, Harinder&Veeraiah, Vivek & Khan, Huma & Singh, Dharmendra & Talukdar, Veera & Anand, Rohit &Sindhwani, Nidhi. (2023). Investigating Scope and Applications for the Internet of Robotics in Industrial Automation. 10.1201/9781003317456-7.
  • Pandey, Jay Kumar &Veeraiah, Vivek & Kumar, M. & Kumari, P. &Kotti, Jayasri& Dharani, M.K. & Gupta, Ankur. (2023). Emerging Soft Computing and Machine Learning Techniques Applicable in Industrial and Automated Applications. 10.1201/9781003317456-4.
  • Chellam, V. &Veeraiah Vivek & Khanna, Ashish &Sheakh, Tariq &Pramanik, Sabyasachi &Dhabliya, Dharmesh. (2023). A Machine Vision-Based Approach for Tuberculosis Identification in Chest X-Rays Images of Patients. 10.1007/978-981-99-3315-0_3.
  • Veeraiah, Vivek & Ravikumar, Dr & Gupta, Neeraj & Singh, Dr & Vinod, Mr& Rathod, Motiram &Yellapragada, Rama Krishna. (2023). International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING Diagnosing of Disease using Machine Learning in Healthcare by Internet of Things. International Journal of Intelligent Systems and Applications in Engineering. 11. 954-973.
  • V. Veeraiah and G. K. Ravikumar, “Integrated Health Care Delivery system with IoT Enabling Technology,” 2020 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 2020, pp. 836-842, doi: 10.1109/CSCI51800.2020.00156.
  • V. Veeraiah, G. P, S. Ahamad, S. B. Talukdar, A. Gupta and V. Talukdar, “Enhancement of Meta Verse Capabilities by IoT Integration,” 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 1493-1498, doi: 10.1109/ICACITE53722.2022.9823766.
  • V. Veeraiah, H. Khan, A. Kumar, S. Ahamad, A. Mahajan and A. Gupta, “Integration of PSO and Deep Learning for Trend Analysis of Meta-Verse,” 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 713-718, doi: 10.1109/ICACITE53722.2022.9823883.
  • V. Veeraiah, K. R. Kumar, P. Lalitha Kumari, S. Ahamad, R. Bansal and A. Gupta, “Application of Biometric System to Enhance the Security in Virtual World,” 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 719-723, doi: 10.1109/ICACITE53722.2022.9823850.
  • V. Veeraiah, A. B. Prasad, S. Sapna, D. Verma, S. PRANAVAN and A. I. Dasuki, “Monitoring and Controlling Data Through the Internet of Things (IOT) System: A Framework to Measure the Public Health,” 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 226-229, doi: 10.1109/ICACITE53722.2022.9823746.
  • V. Veeraiah, V. Suthar, A. Y. Reddy, O. Dahiya, M. Azam and M. Kumbhkar, “Evaluation of Block-Chain Transaction Accuracy using Neural Network Model,” 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 233-238, doi: 10.1109/ICACITE53722.2022.9823465.
  • V. Veeraiah, N. B. Rajaboina, G. N. Rao, S. Ahamad, A. Gupta and C. S. Suri, “Securing Online Web Application for IoT Management,” 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 1499-1504, doi: 10.1109/ICACITE53722.2022.9823733.
  • V. Veeraiah, A. Preetham, P. Karthikeyan, P. L. Kumari, K. Mehta and M. Kumbhkar, “Investigating the Role of Block Chain to Secure Identity in IoT for Industrial Automation,” 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 245-249, doi: 10.1109/ICACITE53722.2022.9823763.
  • V. Veeraiah, R. Anand, K. N. Mishra, D. Dhabliya, S. Sanjay Ajagekar and R. Kanse, “Investigating Scope of Energy Efficient Routing in Adhoc Network,” 2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC), Solan, Himachal Pradesh, India, 2022, pp. 681-686, doi: 10.1109/PDGC56933.2022.10053344.
  • V. Veeraiah, G. K. Ravikumar, D. Bhuva, R. Singh, A. M. Raju and U. Joshi, “Definitions, Difficulties and Current Research Directions for the Internet of Things,” 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 1672-1676, doi: 10.1109/IC3I56241.2022.10072500.
  • V. Veeraiah, A. Pankajam, E. Vashishtha, D. Dhabliya, P. Karthikeyan and R. R. Chandan, “Efficient COVID-19 Identification Using Deep Learning for IoT,” 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 128-133, doi: 10.1109/IC3I56241.2022.10073443.
  • V. Veeraiah, G. K. Ravikumar, R. Kalpana, K. Sreenivasulu, Y. Singh and S. K. Shukla, “Medical Internet of Things using Deep Learning Techniques for Skin Cancer Detection,” 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 317-321, doi: 10.1109/IC3I56241.2022.10073052.
  • V. Veeraiah, G. K. Ravikumar, D. P. Singh, A. Chaudhary, G. Elkady and D. S. Ross, “A Descriptive Research on Internet of Things Implementation in Healthcare Sector,” 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 308-312, doi: 10.1109/IC3I56241.2022.10073463.
  • P. Venkateshwari, V. Veeraiah, V. Talukdar, D. N. Gupta, R. Anand and A. Gupta, “Smart City Technical Planning Based on Time Series Forecasting of IOT Data,” 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET), Ghaziabad, India, 2023, pp. 646-651, doi: 10.1109/ICSEIET58677.2023.10303480.
  • Mamta, V. Veeraiah, D. N. Gupta, B. S. Kumar, A. Gupta and R. Anand, “Prediction of Health Risk Based on Multi-Level IOT Data Using Decision Trees,” 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET), Ghaziabad, India, 2023, pp. 652-656, doi: 10.1109/ICSEIET58677.2023.10303560.
  • V. Veeraiah, V. Talukdar, S. B. Talukdar, J. Kotti, M. K. Dharani and A. Gupta, “IoT Framework in a Blockchain dependent Cloud Environment,” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6, doi: 10.1109/ICCCNT56998.2023.10308158.
  • V. Veeraiah, J. Kotti, V. Jain, T. Sharma, S. Saini and A. Gupta, “Scope of IoT in Emerging Engineering Technology during Online Education,” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6, doi: 10.1109/ICCCNT56998.2023.10308107.
  • Pandey, J. K., Veeraiah, V., Talukdar, S. B., Talukdar, V. B., Rathod, V. M., &Dhabliya, D. (2023). Smart City Approaches Using Machine Learning and the IoT. In S. Pramanik& K. Sagayam (Eds.), Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities (pp. 345-362). IGI Global. https://doi.org/10.4018/978-1-6684-6408-3.ch018
  • Khan, H., Veeraiah, V., Jain, V., Rajkumar, A., R., G. K., Gupta, A., & Pandey, D. (2023). Integrating Deep Learning in an IoT Model to Build Smart Applications for Sustainable Cities. In S. Pramanik& K. Sagayam (Eds.), Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities (pp. 238-261). IGI Global. https://doi.org/10.4018/978-1-6684-6408-3.ch013.
  • Regulagadda, R. ., Veeraiah, V. ., Muthugurunathan, G. ., Madupu, L. N. K. S. ., Satyanarayana, S. V. ., &Muniyandy, E. . (2024). Predictive Analytics in Stock Markets: Unleashing the Power of IoT and Machine Learning. International Journal of Intelligent Systems and Applications in Engineering, 12(12s), 414–422. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4527.
  • Bhattacharya, D. ., Veeraiah, V. ., Praveenkumar, S. ., Prasad, S. ., John, J. ., Kumar, B. S. ., & Gupta, A. . (2024). Role of IoT based Kitchen Automation System in Real World. International Journal of Intelligent Systems and Applications in Engineering, 12(10s), 217–225. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4364.
  • Veeraiah, V. ., G. K., R. ., Talukdar, V. ., Islam, S. ., Sharma, S. ., Tulasi, R. ., & Gupta, A. . (2024). Fake News Detection using Natural Language Processing and TensorFlow in IoT System. International Journal of Intelligent Systems and Applications in Engineering, 12(10s), 199–207. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4362
  • Vivek Veeraiah, Mohammed Rahmath, Karunendra Verma, Umesh Pratap Singh, Ankur Gupta, Malik Bader Alazzam; Deep learning integration to inject intelligence in network routing mechanism. AIP Conf. Proc. 21 November 2023; 2587 (1): 050021. https://doi.org/10.1063/5.0150642.
  • Regulagadda, R., Veeraiah, V., Muthugurunathan, G., Satyanarayana, S.V., Muniyandy, E.,Predictive Analytics in Stock Markets: Unleashing the Power of IoT and Machine LearningInternational Journal of Intelligent Systems and Applications in Engineering, 2024, 12(12s), pp. 414–422.
  • Ramesh, J.V.N., Veeraiah, V., Shrivastava, G., … Jain, S.K., Gupta,A , Blockchain-Based Internet of Things: Machine Learning Suspicious Object Traceability System .Lecture Notes in Electrical Engineering, 2025, 1281 LNEE, pp. 467–479.
Book Chapters:

1. Veeraiah, V., Ahamad, S., Ramesh, J.V.N., Pramanik, S., Gupta, A; Deep learning-based cancer detection technique Handbook of Research on Thrust Technologies? Effect on Image Processing https://www.igi-global.com/book/handbook-research-thrust-technologies-effect/314629  pp. 222-243

2. Veeraiah, V., Shiju, D.J., Ramesh, J.V.N., Pandey, D., Gupta, A.; Healthcare cloud services in image processingHandbook of Research on Thrust Technologies? Effect on Image Processinghttps://www.igi-global.com/book/handbook-research-thrust-technologies-effect/314629pp. 332-347.

3. Veeraiah, V., Pandey, J.K., Das, S., Khan, H., Gupta, A.; Integrating IoT based security with image processing, The Impact of Thrust Technologies on Image Processinghttps://novapublishers.com/shop/the-impact-of-thrust-technologies-on-image-processing/pp. 25-57.

4. Veeraiah, V., Singh, H., Anand, R., Jaiswal, S., Gupta, A; Simulating the integration of compression and deep learning approaches in IoT environments for security systemshttps://novapublishers.com/shop/the-impact-of-thrust-technologies-on-image-processing/ pp. 269-302.

5. Veeraiah, V., Talukdar, V., Manikandan K., Talukdar, S. B., Solavande, V. D., Pramanik, S., & Gupta, A. (2023). Machine Learning Frameworks in Carpooling. In M. Hossain, R. Ho, & G. Trajkovski (Eds.), Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics (pp. 160-182). IGI Global. https://doi.org/10.4018/978-1-6684-7105-0.ch009

6. Dhabliya, D., Veeraiah, V., Dari, S.S., Pramanik, S., Gupta, A.,Creating a data lakehouse for a South African government sector learning control enforcing quality control for incremental extractload-transform pipe ,Big Data Quantification for Complex Decision-Making, 2024, pp. 88–109.

7. Dhabliya, D., Veeraiah, V., Dari, S.S., Pramanik, S., Gupta, A.,Virtual and augmented reality applications for healthcare and goodness Inclusivity and Accessibility in Digital Health, 2024, pp. 260–274.

8.Dhabliya, D., Veeraiah, V., Dari, S.S., Gupta, A., Pramanik, S.,An investigation on the utilization of blockchain in the field of digital forensics Revolutionizing the Global Stock Market: Harnessing Blockchain for Enhanced Adaptability, 2024, pp. 1–28.

9. Veeraiah, V., Dhabliya, D., Dari, S.S., Pramanik, S., Gupta, A.,Overcoming the digital frontier: An examination of Indonesia’s NHS e-health plan and medical revolution Improving Security, Privacy, and Connectivity Among Telemedicine Platforms, 2024, pp. 162–178.

10. Manikandan, K., Veeraiah, V., Dhabliya, D., Gupta, A., Pramanik, S.,Investigation into the use of IoT technology and machine learning for the identification of crop diseases .The Ethical Frontier of AI and Data Analysis, 2024, pp. 211–224.

11. Veeraiah, V., Dhabliya, D., Dari, S.S., Pramanik, S., Gupta, A.,The impact of data science and participated geographic metadata on improving government service deliveries: Prospects and obstacles.The Ethical Frontier of AI and Data Analysis, 2024, pp. 320–342.

12. Namdev, A., Veeraiah, V., Dhamodaran, S., Gupta, A., Pandey, D.,Cloud computing applications in biomedicine Emerging Trends in Cloud Computing Analytics, Scalability, and Service Models, 2024, pp. 291–311.