Assistant Professor

P N V Syamala Rao M

Department of Computer Science and Engineering

Interests

  1. Problem Solving Skills(C, C++, Java, Python, R, WT)
  2. Machine Learning
  3. Data Science.

Faculty Details

Education

2011

Affiliated to JNTU(Kakinada)
India
BTech

2013

Andhra University
India
MTech (CST-AI & R)

2024

Gandhi Institute of Technology and Management
India
PhD

Experience

  • Jan 2014- to Dec-2014- Worked as an Assistant Professor( Malla Reddy Engineering College (UGC- Autonomous))-Hyderabad
  • Dec-2014 to Aug-2022-Worked as an Assistant Professor(B V Raju Institute of Technology(UGC-Autonomous))-Narsapur-Hyderabad
  •  Aug-2022 to Aug-2023-Worked as an Assistant Professor(VNRVJIET(UGC-Autonomous))-Bachupally-Hyderabad
  •  Aug-2023 to July-2024-Workes as an Faculty Associate(ICFAI University)-Hyderabad

Research Interest

  • Stock Trading using Technical and Fundamental Analysis
  • Feature correlation and Extraction using Embedded Stacking Algorithm
  • Time Series Prediction Using LSTM and GRU Algorithms
  • Stock Trading Using Sentimental Analysis
  • A Linear and Nonlinear Framework based Deep Optimization algorithm for Effective Stock Price Prediction

Awards & Fellowships

  • Certificate of Appreciation Texas instruments, DST, AICTE and IIM-Bangalore are honoured to nominate P N V Syamala Rao M as member of the Prestigious confederation of Elite Academicians of IIDC for outstanding contributions and stellar commitment to inspiring engineering students to innovate and create ground breaking solutions(2020-B.V.Raju Institute of Technology)
  • Certificate of Appreciation-BVRIT –(Celebrating 1000+ placements of 2019 batch(For mentoring 2019 batch students and towards their success in placements)
  • Certificate of Appreciation-BVRIT-(Celebrating 700+ placements of 2016-17 batch(For mentoring 2017 batch students and towards their success in placements)
  • Secured University 2nd Rank in M.Tech Sem-III with S.G.P.A 9.81/10 (2012-13)
  • Worked as an Active Member in Development Team which worked on Automation of Andhra University Examination System(Cash Prize Worth-16,000-(2013)

Memberships

  • LM-CSI

Publications

 

  • P N V Syamala Rao M , N Suresh Kumar, S Anuradha & G Gautam, Bitcoin Analysis & Prediction Using Var, International Journal of Advanced Science and Technology, Vol. 28, No. 19, (Dec-2019), pp. 1141 - 1151, ISSN: 2005-4238[SCOPUS INDEXED]
  • P.N.V. Syamala Rao. M, N. Suresh Kumar, A Comprehensive Survey of Financial Data Modelling Processes & Data Cleaning Methods Using Composite Coefficient, Jour of Adv Research in Dynamical & Control Systems, Vol. 12, 01-Special Issue, 2020, Page No (882-899), (Jan-2020), ISSN 1943-023X [SCOPUS INDEXED]
  • P. N. V. S. Rao M and N. S. Kumar, "Predicting Stock Price and Risk using Embaded Stacking Algorithm," 2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT-2021), pp. 632-638. [SCOPUS INDEXED]
  • K. Purnachand, M. Shabbeer, P. N. V. Syamala Rao M and C. Madhu Babu, "Predictive Maintenance of Machines and Industrial Equipment," 2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT- 2021), pp. 318-324, [SCOPUS INDEXED]
  • P.N.V. Syamala Rao. M, N. Suresh Kumar, STOCK PRICE PREDICTION USING DEEP LEARNING TECHNIQUES, Journal of Theoretical and Applied Information Technology(JATIT), January (JATIT-2022) | Vol. 100 No.01, ISSN: 1992-8645, E- ISSN: 1817-3195, pp. 170-183. [SCOPUS INDEXED]
  • PV. Lakshmi , N. Suresh Kumar ,Golagani.A.V.R.C.Rao3, P N V Syamala Rao M A Deep Learning Approach for Sentiment Analysis of Movie Reviews, Test Engineering & Management Volume-83, Issue-March-April-2020, Page No (20074-20078), Apr - 2020, E-ISSN: 0193-4120.
  • P.N.V. Syamala Rao. M1, N. Suresh Kumar, Stock Price Prediction Using Sentimental Analysis &Deep Learning Optimizer Techniques, JOURNAL OF ALGEBRAIC STATISTICS, Volume13,No.3, 2022, p.1405-141,ISSN: 1309-3452 [WoS-EBSCO- INDEXED]
  • Srikanth Bethu M. Neelakantappa ,A. Swami Goud , B. Hari Krishna , and P.N.V. Syamala Rao M, An Approach for Person Detection along with Object Using Machine Learning, (JAIT-2023) Vol.14(3): 411-417, doi: 10.12720/jait.14.3.411-417[SCOPUS-INDEXED]
  • P. N. V. Syamala Rao M. N. Suresh Kumar, Purnachand Kollapudi ,Ch. Madhu Babu, Saikumar Tara, A Review of the techniques of fundamental and technical stock analysis, AIP Proc. 2477, 030062 (AIP-2023), https://doi.org/10.1063/5.0125210 [SCOPUS- INDEXED]
  • P. N. V. Syamala Rao M. N. Suresh Kumar, A Hybrid Linear and Non linear Framework based on Genetic Algorithm(HLN-FGS) for effective Stock Price Prediction, Journal of Artificial Intelligence and Soft Computing Research(2023)(JAISCR- SCI-ACCECPTED)
  • U. Ganesh Naidu, Vijaya Krishna Sonthi, M Murali Krishna, P N V Syamala Rao M, Segmentation Approach Using Hybrid Network Model for Optical Character Recognition, International Journal of Intelligent Systems and Applications in Engineering-2023,12(6s), 607–614. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3999[IJISAE- SCOPUS INDEXED]
  • P N V Syamala Rao M, Arram Sriram, Madhu Bandari Comparison Study on KNN Algorithm and Dynamic KNN Algorithm, Oxidation Communications- 47, N0 1, 1-9(2024)[SCOPUS INDEXED]

Contact Details

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