Specialization

Quantum Machine Learning, Medical Imaging, Computer Vision, AI and Machine Learning

Email

gveswara.rao@thapar.edu

Education:
1.    Ph.D. in Computer Science and Engineering from Motilal Nehru National Institute of Technology Allahabad, Prayagraj (U.P)
2.    M. Tech. in CSIT from University college of JNTUKV. (A.P)
3.    B. Tech in Computer Science and Engineering from JNTUK, Kakinada (A.P)

Awards & Achievement:
•    UGC NET (June 2019) Qualified.
•    MHRD-Full Time Research Fellowship (2020-2025) awarded.
•    Ratified as Assistant Professor under Andhra University and JNTU Kakinada
•    MTA: Microsoft Technology Associate certified in Python Programming

Experience:
1.  Working as Assistant Professor in Thapar Institute of Engineering & Technology (Deemed to be University), Patiala, Punjab, Pin -147004, India (July 2024 – Present). 
2.   Worked as Assistant Professor in Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar (March 2023- July 2024).
3.   Worked as Assistant Professor in Anil Neerukonda Institute of Technology & Sciences(A), Andhra Pradesh (June 2016 – June 2020).

Journal Publications:
1.    G V Eswara Rao, et al. "Hybrid framework for respiratory lung diseases detection based on classical CNN and quantum classifiers from chest X-rays." Biomedical Signal Processing and Control 88 (2024): 105567. (SCI)
2.      G V Eswara Rao, and B. Rajitha. “A Hybrid Metaheuristic Aware Modified Mobile Net with Enriched Feature Extraction for Covid-19 Severity Detection and Classification.” Wireless Pers Commun 136, 1047–1077 (2024). (SCI)
3.    G V Eswara Rao, and B. Rajitha. "HQF-CC: hybrid framework for automated respiratory disease detection based on quantum feature extractor and custom classifier model using chest X-rays." International Journal of Information Technology (2024): 1-9. (Scopus)
4.    Arora Riya, GV Eswara Rao, Shashwati Banerjea, and B. Rajitha. "MLDC: multi-lung disease classification using quantum classifier and artificial neural networks." Neural Computing and Applications (2023): 1-14. (SCI)
5.    R Maurya, G V Eswara Rao, B Rajitha “Visual cryptography for securing medical images using a combination of hyperchaotic-based pixel, bit scrambling, and DNA encoding” in International Journal of Information Technology,2020(Scopus).
6.    G.V. Eswara Rao “Secure Data Transmission Using Elliptic Curve Cryptography” in International International Journal of Research and Analytical Reviews (2020).
7.    G.V. Eswara Rao, Kambam Priyanka,” Designing a High-Level Corporate Network Infrastructure with MPLS Cloud” in International Research Journal of Engineering Technology (2020).
8.    G V Eswara Rao, K V Chandra Sekhar “The Energy Efficient Routing and High Security Transmission in Mobile Ad-hoc Networks” in International Journal of Computer Science and Technology (2018).
9.    G V Eswara Rao, D. Kamal Kumari et al.” CACS:Closed Anonymous communication system for MANETS” in International Journal of Latest Trends in Engineering and Technology(2013).

Conference:
1.    K. B. V. B. Rao, Y. Bhardwaj, GV Eswara Rao, "Early Lung Cancer Prediction by AI - Inspired Algorithm," 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Gautam Buddha Nagar, India, 2023, pp. 1466-1469. (IEEE)
2.    Singh, Raunaq, Vipin Singh, Pooja Verma, GV Eswara Rao, and Rajitha Bakthula. "Real-Time Mood-Based Music Auto-Play System from Facial Expressions." In International Conference on Computational Intelligence in Pattern Recognition, pp. 363-373. Singapore: Springer Nature Singapore, 2022. (Scopus)
3.    Kinjal Jain, G. V. Eswara Rao et al. “Detecting COVID-19 from Chest X-rays Images using Modified Inception Deep Learning Model “is accepted for MCCS-2022 conference. (Scopus)

Book Chapter:
1.    G. V. Eswara Rao, B. Rajitha, “Transferred Learning-based ResNet Model for COVID-19 Detection Using Chest X-ray Images” in Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications, CRC Press, 2022, Pages 219-234.
2.    Sivaranjani Reddi, G.V. Eswar, “Fake news in social media recognition using Modified Long Short-Term Memory network” In Intelligent Data-Centric Systems, Security in IoT Social Networks, Academic Press, Elsevier 2021, Pages 205-227. 

Patent: (Grant/Publish)
1.    “A NOVEL DEEP LEARNING BASED TECHNIQUE FOR IDENTIFYING COVID-19 USING IMAGES OF CHEST X-RAY”, 202211044394, Published, 33/2022.
2.    “Measurement Of Fuel Level in Tank Using IR Sensors And Reporting Using Iot”, 202041012980, Published, 5/2020.
3.    “SMART HYBRID MOUNTAIN BICYCLE” 369577-001, Granted, 03/2023.
4.    “Intelligent Food Waste and Renewable Energy Management System” , Granted with design number 630949, 08/2023.