AI&DS HOD

Head of the Department of Computer Science and Engineering allied Branches like  CSE- Artificial Intelligent and Data Science, Artificial Intelligent and Machine Learning & CSE - Artificial Intelligent and  Machine Learning.

Qualifications:

• Presently doing Post Doctoral fellowship in Stock market Predictions using Deep Learning Techniques in University of South Florida, United States of America.
• Completed Ph.D in Computer Science and Engineering in the year 2022 with Specialization Deep Learning from Jawaharlal Nehru Technological University Kakinada
• Completed  Mater   of   Technology       (M.Tech.)   in    Computer Science and Engineering in the year 2010 from Avanthi Institute of Engineering and Technology, Narsipatnam affiliated Jawaharlal Nehru Technological University Kakinada
• Completed Master of Science in Computer Science in year 2007 from Andhra University College of Engineering, Visakhapatnam

Professional Career:

• Currently working as a Professor in Bonam Venkata Chalamayya Engineering College from 1^st February 2023 to till the date
• Worked as a Associate Professor in Kakinada Institute of Engineering and Technology from 06^th June 2016 to 31^st January 2023.
• Worked as Professor in Dept. of CSE, AIMS College of Engineering, Mummidivaram from 15^th November 2012 to 5^th June, 2016.
• Worked as Asst. Professor in Dept. of CSE, Aditya Engineering College, Kakinada from 30^th November 2011 to 14^th November
• Worked as Professor in Dept. of CSE, Centurion University College of Engineering, Parlakimundi from 14^th July 2011 to 29^th November 2011.
• Worked as Asst. Professor in Dept. of CSE, Koushik College of Engineering Visakhapatnam from 2^nd December 2010 to 13^th July 2011

Ph.D. Thesis Title: Forecasting Stock Market Prices using Novel Greedy Heuristic Optimized Multi-Instance Quantitative, Multi Model-Based Hybrid and Generative Adversarial Network.

Research Area: Artificial Intelligence, Deep Learning, Machine learning, Data Mining, Data Science and Financial Stock Prediction.

Subjects Handled:

Artificial Intelligence, Database Management Systems, Data Mining, Machine Learning, OOP through JAVA, Theory of Computation, Compiler Design, C and Data Structure, Python Programming and  Advanced Data Structures.

Academic and Administration Roles:

• HoD for B.Tech. CSE program in KIET. 
• Officer of Incharge Examinations in KIET under JNTUK Procedure
• NAAC coordinator for 6^th Criterions KIET.
• Officer of Incharge Examinations in AIMS under JNTUK Procedure

Project Guided/Supervised:

• Tech: 10
• Tech: 30

Citations:   Google Scholar / Scopus/Researchgate: 112/55/96

https://scholar.google.com/citations?user=OhBbKNAAAAAJ&hl=en

https://www.scopus.com/authid/detail.uri?authorId=57211397513

https://www.researchgate.net/profile/Dr-Polamuri/stats/recommendations

Science Citation Index Expanded (SCIE) Journals:

1. Subba Rao Polamuri, Kudipudi Srinivas, Dr. A. Krishna Mohan, Multi-Model Generative Adversarial Network Hybrid Prediction Algorithm (MMGAN-HPA) for stock market prices prediction, Journal of King Saud University - Computer and Information Sciences, 2021, ISSN 1319-1578, https://doi.org/10.1016/j.jksuci.2021.07.001. ISSN 0167-8655 (Impact Factor: 4.757). Q1-Journal.

http://www.sciencedirect.com/science/article/pii/S0167865514003146

2. Subba Rao Polamuri, Srinivas, & Mohan, A.K. Multi model-Based Hybrid Prediction Algorithm (MM-HPA) for Stock Market Prices Prediction Framework (SMPPF). Arab Journal for Science and Engineering (2020). https://doi.org/10.1007/s13369-020- 04782-2. ISSN 1611-2156 (Impact factor: 4.068) Q2-Journal.

https://www.excli.de/vol15/Annavarapu_01082016_proof.pdf

3. K Srinivas, K Pravallika, Dr Subba Rao Polamuri"COVID-19 Prediction based on hybrid Inception V3with VGG16 using chest X-ray images" Multimedia Tools and Applications (2023). https://doi.org/10.1007/s11042-023-15903-y

Communicated papers in SCIE journals:

4. Subba Rao Polamuri “Stroke Detection in the Brain using MRI and Deep Learning Models” Multimedia Tools and Applications. Manuscript Submitted and Under Review.
5. Mohammed Imtyaz Ahamed, G.Kannan, Subba Rao Polamuri “ LSITA: An Integrated Framwork for Leveraging Security of Internet of Things application with Remote Patient Monitoring System, DOI: http://dx.doi.org/10.21203/rs.3.rs-1948226/v1, World Wide Web. Manuscript Submitted and Under Review.

SCOPUS / Other Indexed Journals:

1. Subba Rao Polamuri, Dr. Kudipudi Srinivas, Dr. A. Krishna Mohan, Prediction of Stock Price Growth for Novel Greedy Heuristic Optimized Multi-Instances Quantitative (NGHOMQ), International Journal of System Assurance Engineering and Management2022 – https://doi.org/10.1007/s13198-022-01801-3
2. Mogili Siva, P Subbarao “Optimized Convolutional Neural Network for Fake News Detection”, International Journal Of Engineering In Advanced Research Science And Technology, Volume.03, 01, June-2022, Pages: 666-674.
3. Nunna Divya Manikantha Padmaja, P Subbarao, “ An approach to analyse and Forecast Social media data using Machine Learning and Data Analysis” The International journal of analytical and experimental modal analysis, Volume XIV, Issue VI, June/2022, 2347-235.
4. Marisetti Lalitha Indrani, P Subbarao, “Analytical Approach towards Prediction of Diseases Using Machine Learning Algorithms”, The International journal of analytical and experimental modal analysis, Volume XIV, Issue VI, June/2022, 2362-2368.
5. Satish, P Subbarao, “Automation of Traffic Control System Using Image Morphological Operations”, The International journal of analytical and experimental modal analysis, Volume XIV, Issue VI, June/2022, 2369-2375.
6. D S Ram Kiran, P Subbarao, “A Comparative Approach to Predictive Analytics with Machine Learning for Fraud Detection of Real-time Financial Data”, The International journal of analytical and experimental modal analysis, Volume XIV, Issue VI, June/2022, 2445-245.
7. Polamuri, S.R., Srinivas, K., Mohan, A.K.: Novel Greedy Heuristic Optimized Multi- instance Quantitative for the Prediction of Stock Price. Solid State Technology, volume 63, Issue 5. 4654-4672 (2020) ISSN 0973-4562. (SCOPUS Indexed) https://www.ripublication.com/ijaerspl3/ijaerv10n81spl_40.pdf
8. Polamuri, S.R., Srinivas, K., Krishna Mohan, A.: Stock market prices prediction using random forest and extra tree regression. J. Recent Technol. Eng. 8, 1224–1228 (2019). https://doi.org/10.35940/ijrte.C4314.098319. ISSN: 2198-5812 (SCOPUS Indexed).
9. Subba Rao Polamuri, Rama Sree, M.Rajababu “Fault Prediction in Object Oriented Systems using Conceptual Cohesion of Classes” International Journal of Computer Science and Information Technologies, Vol. 3 (4) , 2012,4684 – 4688.
10. Pratap Kumar Dakua, Manoranjan Pradhan, Subba Rao Polamuri “Hardware Implementation of Mix Column Step in AES”, Special Issue of International Journal of Computer Applications (0975 – 8887) on Communication and Networks, No.2. Dec.2011.
11. Srinivasa Rao, P. Subba Rao “Peer-to-Peer Environment – Indexing of Query on Spatial Data” International Journal of Computer Science and Technology Vol. 3, Issue 3, July - Sept 2012 ISSN : 0976-8491 (Online) | ISSN : 2229-4333 (Print). http://ijcst.com/vol33/2/a904.pdf
12. Anusha, P. Subba Rao “Visual Cryptography Schemes for Secret Image” International Journal of Engineering Research & Technology (IJERT) Vol. 1 Issue 5, July – 2012 ISSN: 2278-0181. https://www.ijert.org/research/visual-cryptography-schemes-for-secret-image-IJERTV1IS5412.pdf
13. Sri Ramya, P. Subba Rao “Collaborative Concealment of Spatio-Temporal Mobile Sequential Patterns” Global Journal of Computer Science and Technology Network, Web & Security. Volume 12 Issue 12 Version I.0 Year 2012. ISSN: 0975-4172 https://globaljournals.org/GJCST_Volume12/7-Collaborative-Concealment-of-Spatio-Temporal.pdf.
14. Sandhya Rani, P.Subba Rao “Dynamic Behavioral Pattern Mining from Point of Coverage Wireless Sensor Networks” International Journal of Computer Science and Information Technologies, Vol. 3 (4) , 2012, 4743-4746 in July – August Issues, https://ijcsit.com/docs/Volume%203/vol3Issue4/ijcsit2012030437.pdf.
15. Subba Rao Polamuri, Kudipudi Srinivas, Dr. A. Krishna Mohan, Stock Price Prediction for Hybrid Generative Adversarial Network Algorithm (HGANA) , International Journal of System Assurance Engineering and Management–Springer-Manuscript Submitted and Under Reveiw (SCOPUS Indexed).

 Books:

1. Subba Rao Polamuri, Makhan kumbhkar, Dr. D. Arul Pon Daniel, “ Introduction to Deep Learning” with first Edition,2022, AGPH books Publisher. Available in Amazon online store. ISSBN: 978-3-330-03063-3
2. Subba Rao Polamuri, I Lakshmi Manikyamba, Mohammed Imtyaz Ahamed, G. Siva Krishna, “ Data Science” with first Edition,2022, AGPH books Publisher. Available in Amazon online store. ISSBN: 978-6-203-02734-1
3. Yogesh Ramdas Hole, Subba Rao Polamuri, Anil E. Palve, Dr. Shobha Jonathan Prakash, “Challenges Opportunities of Global Market” with first Edition,2022, AGPH books Publisher. Available in Amazon online store. ISSBN: 978-6-203-04062-3.

Book Chapters:

1. P Srinivasa Rao, Pradeep Bheemavarapu, Swapna D and Subba Rao Polamuri, “Hybrid Neural Network Based Fuzzy Inference System Combined with Machine Learning to Detect and Segment Kidney Tumor” Computational Intelligence in Madical Decision Making and Diagnosis (CIMDMDTA-2023). 1^st Edition, CRC Press, Taylor Francis. (SCOPUS Indexed).

International Conferences:

1. Magesh Kumar B, Finney Daniel Shadrach ,  Poonkodi R,  M Sathish Kumar,  Subba Rao Polamuri,  Vasudeva Naidu Pudi, "A binary Bird Swarm Optimization technique for cloud computing task scheduling and load balancing," 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), 2022, pp. 1-6, doi: 10.1109/ICSES55317.2022.9914085 (IEEE Conference).
2. Subba Rao Polamuri., Srinivas , Mohan A.K. (2020) “A Survey on Stock Market Prediction Using Machine Learning Techniques”. In: Kumar A., Paprzycki M., Gunjan V. (eds) ICDSMLA 2019. Lecture Notes in Electrical Engineering, vol 601. Springer, Singapore. https://doi.org/10.1007/978-981-15-1420-3_101. Scopus Indexed. (SCOPUS Indexed)

1. “ROOK: Multi- session based Network Security Event Detector” for International seminar on Artificial Intelligence and Applications in GMRIT, Rajam, Srikakulam.      

National Conferences:      

1. “Fault Prediction in Object Oriented Systems using Conceptual Cohesion of Classes” for National Conference on Computer Application and Managerial Excellence in Loyola College,
2. “Using the Conceptual Cohesion of Classes for Fault Prediction in Object Oriented Systems” for National Seminar on TECNOGRAIL-10 in Andhra University College of Engineering,

As a speaker/ Resource person:

• As Resource Person I given one week Job Training Programming on R analytics with Machine Learning from 7^th February, 2018 to 14^th February 2018 under Kaushal Godavari Skills Development cell on Collector Observation Cell, Kakinada, East Godavari-533003.

Patent details:

• Title of invention “Wearable device to Monitor dehydration” with application number: 201941013991 A, publication date: 26/04/2019 and International Classification: A61B5/00.
• Title of invention “Machine Learning Methodology for Database Migration in Cloud Computing Environment”. With Application No: 202211052282 and Publication Date : 16/09/2022.
• Title of invention “Analyses of how forth coming Budget can Revolutionise Jobs Market in India’s Population Spike” with Application No.202341003322 A, Publication Date : 20/01/2023 and G06Q0050260000,

As Organizer/Coordinator:

• Session Chairs 4: Dr. Umar Muhammad Modibbo, Dr. Fariba Goodarzian, Subba Rao Polamuri, Special Session on “Applications of Optimization Techniques and Intelligent Computing in Supply Chain Management, Stock Computing and Sustainable Development” in 2nd International Conference on Intelligent Engineering and Management (ICIEM-2021) 28th – 30th April 2021 at Amity University, 24 Bedford Square, Fitzrovia, London WC 1B 3HN, UK.

Attended Work Shops & FDPs:

• Attended “Data Analytics for Operations Research” from 14^th November 2018 to 18^th November 2018 workshop Conducted by IIT, Kanpur and Global Initiative Academic Networks at IIT, KANPUR.
• Attended “Faculty Enablement Program for IoT and R Analytics - 2017” Conducted by JNTUK at University College of Engineering, Kakinada.
• Participated in a Two – Day Saptahaant Shikshak Prashkshan on “Introduction to Machine Learning, 16^th December 2017 17^th December 2017 - ” Conducted by National Mision on Eduction trough ICT(MHRD) and IIT, Karagpur at KIET Korangi, Kakinada.

• Attended one week AICTE-ISTE Refresh Programme on “Computational Inteligence using Machine Leaning Techniques” from 23^rd July 2018 to 28^th July 2018 workshop Conducted by AICTE-ISTE at Matrustri Engineering College,

• I attended “Faculty Enablement Program - 2012” Conducted by Infosys Campus Connect at Aditya Engineering College, Kakinada.

Services as Reviewer:

• International Journal of System Assurance Engineering and Management.(Scopus)
• Wireless Personal Communications (SCIE)
• Imaging Science Journal .(Scopus)
• Applied Artificial Intelligence. (SCIE)
• Journal of the Franklin Institute. (SCIE)
• Imaging Science and Journal (SCIE)
• Engineering Applications of Artificial Intelligence (SCIE)
• Financial Innovation (SSCI)
• Journal of Data Science and Intelligent Systems(JDSIS)

Achievements:

• Qualified in Andhra Pradesh State Eligibility Test (APSET) with Computer Science and Application December 2020, which is conducted by APSCHE.
• GATE qualified with 63.21 percentiles in 2008 All India Rank 6513

Professional Member Ships/IDs:

• ORCID ID: https://orcid.org/0000-0002-2496-1581
• International Association of Engineers (IAENG)  - 310901
• A Life member of Indgiants Association of Educators & Professional Trainers.