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Dr. Kashi Sai Prasad
Designation Associate Professor & HOD
Years of Experience 10 Years
Department Computer Science and Engineering- AI&ML
Email Id saiprasad.kashi@mlrinstitutions.ac.in
JNTUH Unique Id 8555-151222-120120
Areas of Specialization CSE-AI&ML
UG Degree B.Tech CSE
PG Degree M.Tech CSE
Ph.D Ph.D CSE
Joining Date 12/11/2015
Nature of Association Regular

Dr. Kashi Sai Prasad

Papers Published

 Publications:

  1. Prasad, K.S., Lydia, E.L., Rajesh, M.V. et al.Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks. Sci Rep 14, 30833 (2024). https://doi.org/10.1038/s41598-024-81162-y
  2. Sai Prasad & Rajender Miryala “Histopathological Image Classification Using Deep Learning Techniques” International Journal on Emerging Technologies 10(2): 467-473 (2019)
  3. Sai Prasad “A Framework for Diagnosing Kidney Disease in Diabetes Patients Using Classification Algorithms” March 2020 SN Computer Science 1(2) Article number: 101 (2020) DOI:10.1007/s42979-020-0096-7
  4. S. Prasad, S. Pasupathy, Deep Convolutional Neural Network Implementations For Efficient Brain Stroke Detection Using MRI Scans, Journal of Theoretical and Applied Information Technology, Vol.100. No 17, http://www.jatit.org/volumes/Vol100No17/14 Vol100 No17.pdf
  5. Kashi Sai Prasad, S Pasupathy, “Real-time Data Streaming using Apache Spark on Fully Configured Hadoop Cluster”, J.Mech.Cont.& Math. Sci., Vol.-13, No.-5, November-December (2018) Pages 164-176.
  6. Sai Prasad ” Analyzing and Prediction of Academic Performance of Students using Data Mining Techniques” JARDCS; Issue No:7 Special; ISSN No:1943–023X; 2018
  7. Sai Prasad “A New Document representation approach for gender prediction using author profile ” Springer ISBN 978-981-13-1580-0; 2018
  8. Sai Prasad ” An Automated mechanism For Smart Packaging Line Management” IJMET; Volume 8 ISSN No: 0976-6359; JUNE 2017
  9. Sai Prasad “Artificial Intelligence Approach For Classifying Molecular Dataset using Density based Technique with appropriate Euclidean Distance Measure” Elsevier Volume 4, Issue 8 ISSN: 2277–9655. 2016
  10. Sai Prasad “Clustering and Classification of Molecular data using Artificial Intelligence” Elsevier Journal ICAAMM 2016 ISSN: 2277–9655. 2016
  11. Sai Prasad “Research Article Authentic-Time Metropolis-Scale Taxi Ride sharing” IJCR; Volume 8, issue 11 Nov 2016.
  12. Sai Prasad “Mobile Recommendation System Using Mapreduce” Proceedings of the 6th International Conference on Communication and Electronics Systems, ICCES 2021, 2021, 9489212
  13. Sai Prasad “Privacy preserving and data publishing using tuple grouping algorithm” Journal of Engineering and Applied Sciences, 2018, 13(4), pp. 930–933.
  14. Sai Prasad “A geographical factor of interest recommended strategies in location based social networks” International Journal of Engineering and Technology(UAE), 2018, 7(3.27 Special Issue 27), pp. 32–35
  15. Sai Prasad “Fuzzy logics associated with neural networks in intelligent control for better world” International Journal of Reasoning-based Intelligent Systems, 2018, 10(3-4), pp. 322–327
  16. Sai Prasad “Impact of Active Learning in Engineering Education”, Proceedings of the 6th IEEE International Conference on MOOCS Innovation and Technology In Education, MITE 2018, 2018, pp. 107–114, 8747038
  17. Sai Prasad ” Featured Based Pattern Analysis using Machine Learning and Artificial Intelligence Techniques for Multiple Featured Dataset” Materials Today: Proceedings ICAAMM – 2016 4 (8), 9039–9048
  18. S. Prasad, S. Pasupathy, P. Chinnasamy and A. Kalaiarasi, “An Approach to Detect COVID-19 Disease from CT Scan Images using CNN – VGG16 Model,” 2022 International Conference on Computer Communication and Informatics (ICCCI), 2022, pp. 1-5, doi: 10.1109/ICCCI54379.2022.9741050.
  19. Sai Prasad ” The Development of 3D Fractal Shapes For MANdelbrot Snd Julia sets” IJPAM; Volume118; Issue No:15 Special; 2018
  20. Kashi Sai Prasad, Dr. S. Pasupathy, A Machine Learning Framework with Hybrid Feature Engineering for Leveraging Brain Stroke Detection Performance, Mathematical Statistician and Engineering Applications, Vol. 71 No. 3s2 (2022): Special Issue on Mathematics Theory and its Contribution in Robotics and Computer Engineering
  21. Sai Prasad, K., Pasupathy, S. (2023). Video-Based Abnormal Driving Behavior Detection and Risk Control Using Machine Learning. In: Mandal, J.K., Hinchey, M., Rao, K.S. (eds) Innovations in Signal Processing and Embedded Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1669-4_2
  22. Prasad, K.S., Pasupathy, S. (2023). A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management. In: Gunjan, V.K., Suganthan, P.N., Haase, J., Kumar, A. (eds) Cybernetics, Cognition and Machine Learning Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1484-3_1
  23. S. Prasad, K. Shekar, P. Chinnasamy, A. Kiran, M. J. K A and B. Rachana, “Plant Disease Prediction Using Convolutional Neural Networks,” 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India, 2023, pp. 1-5, doi: 10.1109/RMKMATE59243.2023.10369533.
  24. Madhuravani, B., Prasad, K.S., Srinivas Reddy, P., Student commentary using MAD and BigData, AIP Conference Proceedings,2023, 2492, 030003
  25. S. Prasad, C. V. Durga, A. Saxena, R. Read, S. Lakhanpal and A. K, “Integrating Advanced Machine Learning for Stable Real-Time Electricity Pricing in Smart Grids,” 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE), Gautam Buddha Nagar, India, 2024, pp. 1-6, doi: 10.1109/IC3SE62002.2024.10593099.
  26. Prasad, K. S., Kolli, M., Linga, B., Chikati, S. S., & Veeranki, T. (2024). Enhancing Medical Diagnosis Through Multimodal Medical Image Fusion. In A. Sharma, N. Chanderwal, S. Tyagi, P. Upadhyay, & A. Tyagi (Eds.), Enhancing Medical Imaging with Emerging Technologies (pp. 197-209). IGI Global. https://doi.org/10.4018/979-8-3693-5261-8.ch012
  27. V. Gopal, K. S. Prasad, D. K. Kumar, M. S. Prashanth, V. P. Kumar and I. Nikhil Sri Sai Teja, “A Deep Insight on Cricket Video to Text Summarization Using Neural Networks,” 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2024, pp. 1865-1872, doi: 10.1109/ICACCS60874.2024.10717135.
  28. V. Gopal, N. S. Kumar, K. S. Prasad, V. Vamsi, M. Raviteja and G. A. Goud, “Mindful Insights: Exploring an AI-Based Student Tracking System for In-Depth Analysis of Student behaviour,” 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2024, pp. 1891-1897, doi: 10.1109/ICACCS60874.2024.10717113.

Patents: 

S.NO AUTHOR NAME PATENT NAME PATENT NUMBER AUTHOR’S
1 Dr. K. Sai Prasad

 

 AUDIBLE SIGHT

 

 202341067746

 

 Mr. J.Vijay Gopal

Mr. Y Aashrith Sai

Mr. R.Ajay

 
2 Mr. K. Sai Prasad WOMEN’S SAFETY APPLICATION WITH PARENT-CHILD CHAT, MOTION DETECTION, AND

EMERGENCY VOICE RECOGNITION FEATURES

 202341067749 Mr. VS. Pavankumar

Mr. Sk. Gouse Pasha

Mr. P. Manikanta

Mr. N. Hari Charan

Mr. V. Tarun Kumar
3 Dr. K Sai Prasad PREDICTION OF BIRDS AND ANALYSIS OF ENDANGERED BIRD SPECIES 202341067754 Mr. J Vijay Gopal

Mr. M Hemanth Sai

Ms. S Naga Preethi
4 Mr. K. Sai Prasad CROP SELECTION USING ARTIFICIAL INTELLIGENCE 202341067755 Mr. J. Vijay Gopal

Mr. R. Sharan

Ms. S Nagapreethi
5 Mr. K. Sai Prasad PALM PAYMENT PAY(PPP) 202341067758 Mr A. Lokeshwar Goud

Mr. Anessh Varma

Mr. Bhanoj
6 Mr. K. Sai Prasad CROP MONITORING WITH AI BASED AUTONOMOUS FARM ROVER 202341038965 Mr. J Vijay Gopal

Ms. Somayajula Nagapreethi

Mr. Madadapu Hemanth Sai

Mr. Mallela Sai Krishna

Ms. Vemuri Abhinaya

Mr. PVS Kisshhan
7 Mr. K. Sai Prasad EYE ROBOT FOR COMBAT SURVEILLANCE 202341038966 Mr. J Vijay Gopal

Dr. K Srinivas Rao

Dr. T.S Subashini

Mr. K. Sai Prasad

Mr. PVS Kisshhan

 

 
8 Dr. K. Sai prasad AI –

BASED WILD LIFE CONSERVATION MONITORING

 202341075642 DIVAKAR VENKATESH MIKKILINENI

G. RAGASRI HARSHITA

MODALA BHANU SAGAR

MADDULA SOUMYA

 
9 Dr. K. Sai prasad System/Method for Business Meeting Summary Generation (BMSG) 202341076489 ARJULA DHEERAJ REDDY

DONTHIREDDY SAKETH REDDY

ANUBROLU CHINMAYE

MOHAMMED IRFAN

 
10 Dr. K. Sai Prasad INTEGRATED MULTI-MODAL IMAGE FUSION AND TUMOR CLASSIFICATION APPLICATION FOR ENHANCED DIAGNOSIS 202341075643 Ms. Meghana                                                                           Ms.L. Bhargavi

Ms. C. Sai Shreeya

Subjects Taught

1. Cloud Computing

2. Bigdata Analytics

3. Predictive Analytics

4. Introduction to Analytics

5. Deep Learning

6. Discrete Mathematical Structures

7. Data Mining

8. Artificial intelligence

9. Machine Learning

10. Research Methodology & IPR

11. Natural Language Processing

12. Advanced Data Base Engineering

13. Neural Networks

14. Soft Computing

 

Books Published

1. Cryptography and Network Security- Hitech Publications https://www.amazon.in/Cryptography-Network-Security-B-Madhuravani/dp/8129801183
2. Sai Prasad, Kashi, and S. Pasupathy. “Video-Based Abnormal Driving Behavior Detection and Risk Control Using Machine Learning.” Innovations in Signal Processing and Embedded Systems. Springer, Singapore, 2023. 9-21.
3. Prasad, K. Sai, and S. Pasupathy. “A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management.” Cybernetics, Cognition and Machine Learning Applications. Springer, Singapore, 2023. 1-8.
4. Reddy, P.S., Keerthika, V., Prasad, K.S., Kumar, B.A. (2022). Monitoring Suspicious Discussion on Online Forum. In: Garcia Diaz, V., Rincón Aponte, G.J. (eds) Confidential Computing. Advanced Technologies and Societal Change. Springer, Singapore. https://doi.org/10.1007/978-981-19-3045-4_6
5. An Efficient Prediction of Kidney Disease Using Machine Learning Algorithms, By Ajmeera Kiran, C. Vinothini, C. Sathya, M. Jayanthi, K. Sai Prasad, P. Chinnasamy, Engineering, Science, and Sustainability, 1st Edition, 2023, CRC Press, eBook – ISBN9781003388982.
https://www.taylorfrancis.com/chapters/edit/10.4324/9781003388982-43/efficient-prediction-kidney-disease-using-machine-learning-algorithms-ajmeera-kiran-vinothini-sathya-jayanthi-sai-prasad-chinnasamy?context=ubx&refId=5b016597-f10a-476c-b4bb-a7641e565674
6. Prasad, Kashi Sai, et al. “Enhancing Medical Diagnosis Through Multimodal Medical Image Fusion.” Enhancing Medical Imaging with Emerging Technologies, edited by Avinash Kumar Sharma, et al., IGI Global, 2024, pp. 197-209. https://doi.org/10.4018/979-8-3693-5261-8.ch012
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