Bachelor of Technology, Master of Technology in Computer Science and Systems Engineering, (Ph.D.) in Computer Science
College/University
Andhra University , Gitam Deemed To Be University
Dr. Gadu Srinivasarao is a highly accomplished academician and researcher with over 11 years of teaching experience in the field of Computer Science and Engineering. He specializes in Artificial Intelligence, Deep Learning, Medical Image Processing, and Quantum Computing applications. Currently serving as an Associate Professor at GD Goenka University, he also leads as the Assistant Director of the AVISHKAR Center for Innovation and Incubation and contributes as Program Chair and BOS Member for curriculum design.
Dr. Srinivasarao holds a Google Certified Project Management Professional credential and has an extensive research portfolio with numerous SCOPUS, Web of Science, and IEEE-indexed publications, as well as multiple patents in AI and IoT innovations. He actively participates as a reviewer and technical program committee member in reputed international conferences.
Recognized for his innovative contributions, he has received awards such as the Most Innovative Idea Award 2022 from the Venture Development Center for an AI-IoT model for clean drinking water. He is also an NPTEL-certified educator in NBA Accreditation and Research Methodology and has guided numerous projects in AI, IoT, and software systems.
Driven by a passion for technology-led learning and impactful research, Dr. Srinivasarao actively mentors students, fosters industry collaborations, and advances cutting-edge solutions for real-world challenges.
Education:
Ph.D – Computer Science and Engineering – Artificial Intelligence, Medical Image Processing
MTech – Andhra University , Compter Science and Technology
BTech – JNTU Kakinada , Computer science and engineering
Publications:
Science Citation Indexing / Scopus : Quartile 1
A Hybrid Generative Adversarial network with Quantum U-NET for 3D spine X-ray image registration SR Gadu , Healthcare Analytics 4, 100251
SCANet: Automated Cobb Angle Measurement using Deep learning model in X-ray images for Adolescent Idiopathic Scoliosis Patients. “Biomedical Signal Processing & Control” – Accepted.
RouteNet-TGNN: A Temporal Graph Neural Network for Delay and Loss Forecasting in Dynamic Communication Networks. Engineering, Technology & Applied Science Research. – Review in progress.
Scopus Indexed
An era: Review on emerging technologies for AR/VR/MR S Gadu, G Himaja, DHA Reddy, MDP Sai, BT Prashant AIP Conference Proceedings 3306 (1), 050002 2025
Detection of early-stage of lung cancer using machine learning classifiers S Gadu, G Himaja, AIP Conference Proceedings 3306 (1), 040001 2025
Leukemia Cancer Detection in Microscopic Blood Samples using Optimized Convolutional Neural Network G Himaja, GS Rao. 2024 Third International Conference on Intelligent Techniques in Control 2024
Vertebra Segmentation Based Vertebral Compression Fracture Determination from Reconstructed Spine X-Ray Images SR Gadu, CS Potala International Journal of Electrical and Electronics Research 11 (4), 1225-12391 2023
A Hybrid Generative Adversarial network with Quantum U-NET for 3D spine X-ray image registration SR Gadu Healthcare Analytics 4, 100251
Advancements in Imaging Techniques for Accurate Identification of VCF in Patients with Scoliosis SR Gadu, CS Potala International Conference on Internet of Things and Connected Technologies 2023
De-centralized cloud data storage for privacy-preserving of data using fog G Srinivasa Rao, G Himaja, V Murthy Intelligent System Design: Proceedings of Intelligent System Design: INDIA …
Recommendation system: national institute rank prediction using machine learning G Himaja, GS Rao, GA Naidu, T Nagothi, S Dalli Journal of Algebraic Statistics 13 (3), 146-152 , 3 2022
ML based disease identification and grain classification of rice. GS Rao, G Himaja, VN Mattaparthi, AM Monish, N Kamineni, P Vamsi, 2021
Research Interests Artificial Intelligence , Deep Learning , Medical Image Processing ,
Case Studies DBMS, Data Mining, AI
Books/ Book Chapters De-centralized cloud data storage for privacy-preserving of data using fog G Srinivasa Rao, G Himaja, V Murthy Intelligent System Design: Proceedings of Intelligent System Design: INDIA …
Conferences
An era: Review on emerging technologies for AR/VR/MR S Gadu, G Himaja, DHA Reddy, MDP Sai, BT Prashant AIP Conference Proceedings 3306 (1), 050002 2025
Detection of early-stage of lung cancer using machine learning classifiers S Gadu, G Himaja, AIP Conference Proceedings 3306 (1), 040001 2025
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