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(Internet of Things)
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Vision & Mission PEOs, POs & PSOs HoD's Desk
Faculty Supporting Staff
Academic Regulations Academic Calendar Syllabus Class Teachers Fee Structure
Publications Guides & Scholars Patents Research Projects
Laboratories Dept. Library Value Added Courses
Pacements Internships Students Rolls

Mr. P. Prudhvi Kiran, Assistant Professor, Dept. of CSE(IoT)

Assistant Professor

Mr.P.Prudhvi Kiran
Assistant Professor

Full Name of Faculty: Pasam Prudhvi Kiran
Education Qualifications: B.Tech (CSE), M.Tech (IT), (Ph.D.) CSSE - 2022 Batch, Andhra University, Visakhapatnam, Andhra Pradesh, India.
Area of Specialization: IoT, Machine Learning
Research Interests: IoT, Machine Learning , Computer Networks
Number of Papers Published: 19 (Journals: 19)
Date of Joining: 10th October 12th, 2022
Subjects Handled: Internet of Things, Artificial Intelligence , Python, OOPS through Java, UNIX, Database Management Systems, Mobile Computing, Cloud Computing, Distributed Computing.
Profile Links:
       

Member of Committees/Bodies:

  • Class Coordinator, 2nd Year, CSE(IoT)

Patents (Published: 3)

Sl. No. Patent Title Applicant's/
Inventor's Name		 Country Name Patent Application No. Term of Patent Date of Filing Date of Publication Status
1 GAS-WATCH: INTELLIGENT GAS PIPELINE LEAKAGE AND SUPPLY DEMAND ESTIMATOR Mr. P. Prudhvi Kiran India 202141039033 A -- 28/08/2021 10/09/2021 Published
2 TEACHABLE OXYGEN FLOW CONTROL AND MONITORING SYSTEM Mr. P. Prudhvi Kiran India 202141031030 A -- 10/07/2021 16/07/2021 Published
3 LNUM- HUMAN IMMUNE DETECTION SYSTEM: HUMAN IMMUNE LEVEL DETECTION AND NOTIFICATION SYSTEM USING MOBILE PHONE Mr. P. Prudhvi Kiran Aistralia 2020103586 8 Years 20/11/2020 20/01/2021 Published

Book Chapters (Published: 1)

Sl. No. Year Chapter Title Book Title Publisher Name Status
1 2022 A NOVEL ELECTRICAL LOAD PREDICTION MODEL USING DEEP LEARNING APPROACH INTERNET OF ENERGY - A PRAGMATIC APPROACH TO SUSTAINABLE DEVELOPMENT Apple Academic Press (Taylor & Francis) publications. Accepted and to be Published

International/National Journal Publications:

  1. Kumar, N. A., Daniel, R., and Pasam, P. K. (2022). Contour Based X-Ray Image Classification System for Detection of Covid-19. i-manager’s Journal on Pattern Recognition, 9(1), 23-32.
  2. Gogineni Hima Bindu, Prudhvi Kiran Pasam, Dr.Bode Prasad, Dr.Ravuri Daniel. (2021). Quick and Accurate Forecasting of COVID-19 Cases using Prophet Model. Annals of the Romanian Society for Cell Biology, 18136
  3. Kiran, Pasam & Lydia, Laxmi. (2020). Sudden Unavailability of Water in Water Tank May Invite COVID-19 Improved Implementation of Low-Cost Internet of Things Solution. Journal of Computational and Theoretical Nanoscience. 17. 5250-5255. 10.1166/jctn.2020.9416.
  4. Pasam Prudhvi Kiran, E.Laxmi Lydia, N.Sharmili, Ravuri Daniel, Dr.A.Krishna Mohan, (2020). Simple Forecasting Model for COVID-19 Cases in India - Multilevel Model Evaluation with R2, MSE, and MAE. European Journal of Molecular & Clinical Medicine; 7(11): 2130-2142.
  5. Pasam Prudhvi Kiran, E. Laxmi Lydia, N. Sharmili, Ravuri Daniel, Dr. A. Krishna Mohan, (2020). 'Efficient and Short-Range Forecasting Model for COVID-19 Time Series Parameters - Daily Confirmed Cases, Deaths, Recoveries', European Journal of Molecular & Clinical Medicine, 7(11), pp. 2143-2153.
  6. Pasam Prudhvi Kiran, Ravuri Daniel, N. Sharmili, E.Laxmi Lydia, Dr. A. Krishna Mohan, (2020). 'COVID-19 Lockdown Devastated Livelihood - Safe Back to Normality with Smart Jacket Prototype', European Journal of Molecular & Clinical Medicine, 7(11), pp. 2154-2163.
  7. Pasam PrudhviKiran, Dr. E. Laxmi Lydia,Dr.T. Pavani. (2020). SEIR Model for Tracking Covid-19 Outbreak. International Journal of Advanced Science and Technology, 29(7s), 4519 - 4526.
  8. E.Laxmi Lydia, Gogineni Hima Bindu, Aswadhati Sirisham, Pasam Prudhvi Kiran, (2019). 'Electronic Governance of Housing Price using Boston Dataset Implementing through Deep Learning Mechanism', International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7 Issue-6S2.
  9. E.Laxmi Lydia, Gogineni Hima Bindu, Pasam Prudhvi Kiran, Kollati Vijaya Kumar, (2019). 'Artificial Way of Characterizing unsupervised Data using Auto-Encoders With Deep Learning Cluster Analysis', International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7 Issue-6S2.
  10. Ravi Kumar G2, P. P. K. (2017). 'Image Processing Based Student Attendance System using Raspberry PI'. International Journal of Engineering and Computer Science, 6(4).
  11. G Ravi Kumar, P Prudhvi Kiran. (2016). 'A Framework of Mobile Device Research in HCI'. International Journal of Computer Science and Mobile Computing, Vol.5 Issue.8, pg. 73-77
  12. Daniel, Ravuri & Mani, G. & Kiran, P.Prudhvi & Kumar, S.Praveen. (2016). 'A Framework for Ranking of Colleges Based on Unstructured Data using k-Anonymity Algorithm in Hadoop'. International Journal of Advanced Research. 4. 1151-1159. 10.21474/IJAR01/270.
  13. P.Prudhvi Kiran et al. (2015). 'Efficient Information Retrieval System using Incremental Approach'. International Journal of Computer Science and Mobile Computing, Vol.4 Issue.11, pg. 295-300
  14. Daniel, R., Kiran, P.P. and Nagoor, S. (2014). 'A COST EFFECTIVE MISUSE AVOIDANCE FOR BUS TRANSPORT SYSTEM USING RFID'. International Journal of Computer Science and Mobile Computing, Vol.3 Issue.6, June- 2014, pg. 666-673
  15. P. Prudhvi Kiran et al. (2014). 'A Cost Effective Automatic Online Bus Information System using RFID and ZigBee'. (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (3) , 4821-4825

MOOCS Certifications:Coursera

    Patents (Published: 3)

    Sl. No. Course Title Offered By
    1 IBM Data Science - 9 Courses Set IBM
    2 Unsupervised Machine Learning for Customer Market Segmentation Coursera Project Network
    3 AI For Everyone deeplearning.ai
    4 Machine Learning for All University of London