Assistant Professor |
Ph.D. : CSE, Centurion University of Technology and Management, Odisha – 2023.
M.Tech. : CSE, Jawaharlal Nehru Technological University, Kakinada- 2012.
M.Sc. : Information System, Andhra University College of engineering – 2004
B.C.A : Computer Science, Nagarjuna University – 2002
Teaching Experience : 19 Years
SVECW Employee ID : 1208
AICTE Registration ID : 1-459470963
- Machine Learning
- Deep Learning
- Security
- Full stack application Developer
- ISTE Life Member
- CSI
- IEI
Dr.Suggala, Ravi Kumar. “Optimized Disease Recognition in Tomato Plants Using Attention‑Driven Neural Networks and YOLOv7 for Precision Agriculture.” Progress in Artificial Intelligence, Springer Science and Business Media Deutschland GmbH, Nov. 2025, https://doi.org/10.1007/s13748‑025‑00401‑z.
- Dr.S.Ravi Kumar. “Blockchain Technology for Digital Twin Security in Smart Grids Using Peer-to-Peer.” Peer-to-Peer Networking and Applications, Springer, May 2025. https://doi.org/10.1007/s12083-025-01929
- Dr. Ravi Kumar Suggala. “Design of Smart Tourism Systems to Forecast Foreign Tourist Arrival Rate.” Proceedings on Engineering Sciences, vol. 7, no. 1, Faculty of Engineering, University of Kragujevac, Mar. 2025, https://doi.org/10.24874/PES07.01B.001
- Dr.S. Ravi Kumar, “Effective Scheduling Algorithm for Workload Forecasting in Fog Environment Utilizing Dual Interactive Wasserstein Generative Adversarial Network.” IEIE Transactions on Smart Processing & Computing, Institute of Electronics Engineers of Korea, Oct. 2024. http://ieiespc.org/AURIC_OPEN_temp/RDOC/ieie03/ieietspc_202410_002.pd
- Ravi Kumar Suggala ; Suma Bharathi. M ; P.L.V.D. Ravi Kumar; NVS. Pavan Kumar, ” Effective Scheduling Algorithm for Workload Forecasting in Fog Environment Utilizing Dual Interactive Wasserstein Generative Adversarial Network”,IEIE Transactions on Smart Processing & Computing, https://doi.org/10.5573/IEIESPC.2024.13.5.435, pp.435-442, IEIESPC 2024-10(Vol.13 No.05)
- Ravi Kumar Suggala, Dr.M.Vamsi Krishna. (2019). A survey on prediction approaches for epidemic disease outbreaks based on social media data. International Journal of Advanced Trends in Computer Science and Engineering, 8(3), pp.897–908. doi:https://doi.org/10.30534/ijatcse/2019/86832019.
- Ravi Kumar Suggala, M. Vamsi Krishna and Swain, S.K. (2023). Reliable Epidemic Outbreak Prevention in Opportunistic IOT Based On Optimized Block Chain. International Journal of Automation and Smart Technology, 13(1), pp.2410–2410. doi:https://doi.org/10.5875/ausmt.v13i1.2410.
- Ravi Kumar Suggala, Krishna, M.V. and Swain, S.K. (2022). Health monitoring jeopardy prophylaxis model based on machine learning in fog computing. Transactions on Emerging Telecommunications Technologies. doi:https://doi.org/10.1002/ett.4497.
- Ravi Kumar Suggala, Dr.Vamsi Krishna. and Dr. Swain Sangram.K. (2023). Discover the New Factor for Dengue Fever Outbreaks and Predicted using Bayes Network-PSO (BN-PSO). Journal of Information Science and Engineering, [online] 39(6), pp.1383–1401. doi:https://doi.org/10.6688/JISE.202311_39(6).0009.
- Ravi Kumar Suggala., Krishna, M.Vamsi. and Swain, S.K. (2023). Automated outbreak prediction of epidemic diseases using Machine Learning based Global pre-emptive scheme. European Chemical Bulletin, 12(10), pp.1468–1489. doi:https://doi.org/10.48047/ecb/2023.12.10.099.
- Ravi Kumar Suggala, Swain, S.K., M. Vamsi Krishna and Ramchandrapur (2021). Time Series Data based COVID-19 Prognostic using Support Vector Machine. International journal of engineering research and technology, 9(5).
- Ravi Kumar Suggala, Vamsi, K. and Sangram Keshari, S. (n.d.). Deep Belief Neural Network (DBN) and Whale Optimization Algorithm (WOA) for the Prediction of Disease from EHR. TEST Engineering and management, 83(May – June 2020), pp.14268–14276.
- Dr.Suggala, Ravi Kumar, “Exploiting Random Forest Algorithm Toward Forecasting Chronic Obstructive Pulmonary Disease Exacerbations.” Lecture Notes in Networks and Systems, Springer Science and Business Media Deutschland GmbH, Sept. 2025. https://doi.org/10.1007/978-981-96-5535-9_1
- Dr.Suggala, Ravi Kumar. “Stereoscopic Scalable Quantum Convolutional Neural Networks with Banyan Tree Growth Optimization for Predicting IoT Security Attacks by Mirai Malware.” Proceedings of the 9th International Conference on Smart Trends in Computing and Communications (SmartCom 2025), Springer Science and Business Media Deutschland GmbH, Jan. 2026. https://doi.org/10.1007/978-981-96-7517-3_28.
- Dr.Suggala, Ravi Kumar. “Multi-relational Graph Attention-Based Depth Wise Separable Convolutional Neural Network for Spatio-Temporal Epidemic Forecasting.” Proceedings of the 9th International Conference on Smart Trends in Computing and Communications (SmartCom 2025), Springer Science and Business Media Deutschland GmbH, Jan. 2026. https://doi.org/10.1007/978-981-96-7517-3_26
- Dr.Suggala, Ravi Kumar. “Enhanced Dental Cavity Detection Using Riemannian Residual Networks and Improved Sooty Tern Optimization.” Proceedings of the 9th International Conference on Smart Trends in Computing and Communications (SmartCom 2025), Springer Science and Business Media Deutschland GmbH, Jan. 2026. https://doi.org/10.1007/978-981-96-7517-3_30.
Dr.Suggala, Ravi Kumar, Srinivasa Rao Dangeti, and Pavan Kumar Vadrevu. “Secure Pool Mining through SVM-Based Miner Classification and Computation Validation in Blockchain Networks.” 22nd OITS International Conference on Information Technology (OCIT 2024), Institute of Electrical and Electronics Engineers (IEEE), Dec. 2024. https://doi.org/10.1109/OCIT65031.2024.00102.
- Dr.S. Ravi Kumar. “Strategic Miner Selection for Optimizing Block Generation Time in PoW-Based Blockchain Pool.” 22nd OITS International Conference on Information Technology (OCIT 2024), Institute of Electrical and Electronics Engineers (IEEE), Dec. 2024. https://doi.org/10.1109/OCIT65031.2024.00125
- Ravi Kumar Suggala, Vadrevu. P.K. and Gadiraju, T.V. (n.d.). Big Data Expansion and Challenges. International Journal of engineering Research and Technology, 4(34), pp.58–68.
- Ravi Kumar Suggala, Vadrevu.P.K. And Gadiraju, T.V. (n.d.). Contemporary Energy Optimization for Mobile and Cloud Environment. International Journal of Computational Engineering Research, 6(09), pp.6–16
- Dr. Ravi Kumar Suggala was elected as the Leading Professor and Academician of 2024 by BusinessTalkz Magazine. https://www.businesstalkz.com/2024/01/leading-professors-academicians-2024.html
- Completed NPTEL-AICTE FDP on “Data structures and Algorithms Using Python in Jan-March 2024. from IIT Madras
- Achieved as NPTEL “ Elite ” Certificate on “Programming in C++ (8 Weeks) Course” in the Jul-Sept 2016 ,Conducted by IIT Kharagpur
- Completed the 2-Day Live Training on Agentic AI Automation and has demonstrated the ability to design, build, and deploy practical AI automation workflows using leading no-code platforms, from 24.11.2025
- Participated and Completed 6 days AICTE Training&Learning(ATAL) Academy-EduSkills FDP on “Juniper Mist – AI”, from 24.11.2025 to 29.11.2025
- Completed the 40 hours of Virtual APEX Faculty Development Program on Artificial Intelligence (AI) and recognized as a mentor in AI, from 18.08.2025 to 17.09.2025
- Participated in the Professional Development Programme(PDP) on ” Incorporating Media and Technology into Teaching and Learning Methods”, from 28.07.2025 to 01.08.2025
- Participated in the 3 Day online fdp on “Bridging Academia and Industry: Strategic Synergies for Multidisciplinary Excellence”, from 28.07.2025 to 30.07.2025
- Participated in Faculty Enablement Program(FEP) Phase-3 on Machine Learning & NLP using Python using Infosys Springboard Platform,24.06.2024-28.06.2024
- attended the FDP on Power of visualization in analytics conducted by BVRIT Hyderabad on 16 Aug- 21 Aug 2023.
- Completed five day National Level FDP on ” Machine Learning & Deep Learning “, Organized by Aditya Engineering College (A) in association with Computer Society of India, from 26.12.2023-30.12.2023
- participated in a FDP on “Large Language Models in Artificial Intelligence ” conducted by Andhra Pradesh Information Technology Academy from 4th Oct 2023- 7th Oct 2023.
- participated in two week Refresher Course on “Machine learning and Data Science” conducted by JNTUH from 11th Sept 2023- 25th Sept 2023.
- participated in one week FDP on “Machine learning and Deep learning” conducted by Aditya Engineering college from 26th Dec 2023- 30th Dec 2023.
- Dr. Ravi Kumar Suggala acted as a reviewer for the “18th INDIACom, 11th 2024 International Conference on Computing for Sustainable Global Development” in February 2024.
- Dr. Ravi Kumar Suggala acted as a reviewer for the “Journal of Supercomputing.
- Dr. Ravi Kumar Suggala reviewed a book Chapter titled “ Recognition of Corona Virus Disease (COVID-19) using Deep Learning Network” from BP International Publishers
- Guest Lecture on Java Programming to Final Year Polytechnic students at Smt. B. Seetha Polytechnic College, Bhimavaram
- A patent published titled “AI-Powered System for Dynamic Resource Allocationin Cloud Networks” as an inventor on 18.10.2024 with Application no: 202441075546
- A patent published titled “System for Autonomous Network Configuration and Optimization Using Machine Learning Algorithms” as an inventor on 18.10.2024 with Application no: 202441075542
- A patent published titled “A Block chain-Based Smart Contract System for Automated
- Crop Insurance and A Method Thereof” as an inventor on 29.05.2024with Application no: 202441091789
- A patent published titled “System and Method for Automated Index Generation for Answer Booklets Using Deep Learning” as an inventor on 22.11.2024 with Application no: 202441088721
