Dr. S Gopal Krishna Patro

About

Dr. S Gopal Krishna Patro is working as an Assistant Professor, Department of CSE (AI & ML), School of Engineering, Sreenidhi University, Hyderabad, Telangana, India. He completed his Ph. D. in CSE (GIET University, India), M. Tech. in CSE & IT (VSSUT Burla, India), B. Tech. in CSE (BPUT, India), Diploma in CSE (SCTE & VT, India). Dr. Patro has more than 10 years of Academic Experience in Teaching, Research and Administration. Dr. Patro has published 43 Scientific Research Articles (Springer Nature, Elsevier, IEEE etc.) including journals, conferences, and 5 Authored Book Chapters, 1 Patent, and 1 Copyright. Dr. Patro has participated as a reviewer in more than 20 peer-reviewed Scientific Articles. Dr. Patro has been awarded numerous prizes for his exceptional presentation style and has attended over 5 professional expert talks and invited talk programs as a Resource Person. Dr. Patro has worked as an organiser and coordinator in more than 50 International Conferences, FDPs and Hackathon Programmes. Dr. Patro has also participated in more than 30 workshops and seminars.

Employment

• Sreenidhi University Assistant Professor
  2025 - Present
• Woxsen University Assistant Professor
  2024 - 2025
• GLA University Assistant Professor
  2023 - 2023
• K L University Assistant Professor
  2022 - 2023
• Parala Maharaja Engineering College Assistant Professor
  2015 - 2018
• Veer Surendra Sai University of Technology Lecturer
  2012 - 2013

Education

• GIET University Ph. D.
  2019 - 2023

Projects & Funding

Projects & funding information is unavailable.

Publications (40)

• Advancing educational data mining for enhanced student performance prediction: a fusion of feature selection algorithms and classification techniques with dynamic feature ensemble evolution
  Scientific Reports 2025 42 citations DOI: 10.1038/S41598-025-92324-X
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• Hybrid metaheuristic optimization for detecting and diagnosing noncommunicable diseases
  Scientific Reports 2025 10 citations DOI: 10.1038/S41598-025-91136-3
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• MutaSwarmClus: enhancing data clustering efficiency with mutation-enhanced swarm algorithm
  Cluster Computing 2025 14 citations DOI: 10.1007/S10586-024-04822-8
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• Dynamic Hybrid Recommendation Approach for Improving Accuracy in E-Commerce with Limited User Data
  Next-Generation Computing Systems and Technologies 2025 0 citations DOI: 10.62762/NGCST.2025.832339
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• Machine and deep learning methods for concrete strength Prediction: A bibliometric and content analysis review of research trends and future directions
  Applied Soft Computing 2024 52 citations DOI: 10.1016/J.ASOC.2024.111956
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• Removing fluoride ions from wastewater by Fe3O4 nanoparticles: Modified Rhodophytes (red algae) as biochar
  Journal of Water Process Engineering 2024 28 citations DOI: 10.1016/J.JWPE.2024.104776
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• Photo-Catalytic Reduction of Destructive U(VI) from Uranium-Defiled Wastewater: an Overview
  Water, Air, & Soil Pollution 2024 11 citations DOI: 10.1007/S11270-024-07077-6
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• Performance, Combustion, and Emission analysis of diesel engine fuelled with pyrolysis oil blends and n-propyl alcohol-RSM optimization and ML modelling
  Journal of Cleaner Production 2024 47 citations DOI: 10.1016/J.JCLEPRO.2023.140354
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• PETLFC: Parallel ensemble transfer learning based framework for COVID-19 differentiation and prediction using deep convolutional neural network models
  Multimedia Tools and Applications 2024 25 citations DOI: 10.1007/s11042-023-16084-4
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• MSCMGTB: A Novel Approach for Multimodal Social Media Content Moderation Using Hybrid Graph Theory and Bio-Inspired Optimization
  IEEE Access 2024 8 citations DOI: 10.1109/ACCESS.2024.3400815
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