Dr. Amit Karbhari Mogal

Mogal, A. K. (2026). Multi-metric performance evaluation of edge and cloud computing for distributed IoT workloads. Goya Journal, 19(8), 81–95. https://doi.org/12.163022.Gj.2025.v19.08.008

Mogal, A. K., Patil, R. A., Shinde, S. N., & Shelar, M. N. (2026). Intelligent edge–cloud orchestration for IoT: A latency-optimized task offloading and scheduling approach. International Journal of Computer Application, 16(4), 17/1–17/14. 

Mogal, A. K., Patil, R. A., Shinde, S. N., & Shelar, M. N. (2026). Adaptive edge resource management through deep reinforcement learning techniques. International Journal of Innovative Science and Research Technology, 11(8), 1344–1354. https://doi.org/10.38124/ijisrt/26aug614 

Mogal, A. K. (2026). Secure IoT communication using lightweight cryptographic protocols in edge networks. International Journal of Emerging Trends in Engineering and Development, 16(4), 16/1–16/14. https://doi.org/10.5281/zenodo.21828335 

Mogal, A. K., Sonaje, V. P., Shinde, S. N., & Patil, R. A. (2026). Performance evaluation of container orchestration platforms for web services: Kubernetes vs. Mesos vs. Docker Swarm. ICTACT Journal on Soft Computing, 17(2). https://doi.org/10.21917/ijsc.2026.0583

Mogal, A. K. (2026). Speech emotion recognition using hybrid CNN-LSTM architectures. USR Journal of Multidisciplinary Research and Studies, 1(2), 100–123. https://www.usrpublisher.com/assets/articles/1784304605.pdf

Mogal, A. K. (2026). Evaluating the impact of network latency and I/O bottlenecks on the performance of Kubernetes-based microservices. International Journal of Research in Engineering & Science, 16(3), 5/1–5/11. https://doi.org/10.5281/zenodo.20063577 

Mogal, A. K. (2026). Scalable data mining architecture for real-time big data analytics using distributed frameworks. International Journal of Advanced Research in Science, Communication and Technology, 6(1).

Mogal, A. K. (2026). Reinventing cloud resource management with machine learning: A systematic review and future outlook. International Journal of Recent Development in Engineering and Technology, 15(6).

Mogal, A. K. (2026). Toward self-driving networks: A reinforcement learning framework for autonomous traffic engineering in SDN-based architectures. International Journal of Science and Research, 15(7). https://doi.org/10.21275/SR26705145140

Mogal, A. K. (2026). Data-driven decision intelligence: Enhancing decision-making with big data analytics. Kaav International Journal of Science, Engineering & Technology, 13(3), Article A01. https://www.kaavpublications.org/abstract/SAMPLE-0190.pdf

Mogal, A. K. (2026). State-of-the-art in container-based cloud virtualization: Issues, tools, and prospects. WADI: International Interdisciplinary E-Research Journal, 1(1), Special Issue. https://eduwadi.in/special-issues-2/

Mogal, A. K., Chauhan, K. H., & Deore, S. S. (2026). Evaluating automated machine learning pipelines against human-driven preprocessing: Insights from healthcare, retail, and financial data. InSight Bulletin: A Multidisciplinary Interlink International Research Journal, 3(2), 239–244.

Date, A. B., & Mogal, A. K. (2026). Cryptocurrency flows in illegal market. InSight Bulletin: A Multidisciplinary Interlink International Research Journal, 3(1), 257–260.

Mogal, A. K., Pagar, T. M., & Mahale, A. K. (2026). AI-driven transformation of labor markets: Skill shifts, hybrid employment, and governance. International Journal of Science and Research, 15(3), 277–282. https://doi.org/10.21275/SC26211090305

Gawali, M. S., & Mogal, A. K. (2026). Green AI: Strategies for mitigating carbon footprints in machine learning systems. International Journal of Science and Research, 15(3), 261–269. https://doi.org/10.21275/SC26211100444

Mogal, A. K., & Sonaje, V. P. (2025). Scalability and rollback efficiency of Kubernetes deployment patterns: A study of blue-green vs. canary approaches. International Journal of Advance and Applied Research, 6(38). https://ijaar.co.in/wp-content/uploads/2025/11/S063808.pdf 

Mogal, A. K., Aher, A. D., & Sawant, M. N. (2026). Performance evaluation of machine learning algorithms in robotic perception tasks: A comparative study for intelligent autonomous systems. International Journal of Advanced Research in Science, Communication and Technology, 6(1). https://www.ijarsct.co.in/Paper34744.pdf

Mogal, A. K., Adke, S. H., & Sawant, M. N. (2026). Comparative analysis of AI techniques for autonomous robotics applications. International Journal of Advanced Research in Science, Communication and Technology, 6(1). https://www.ijarsct.co.in/Paper34721.pdf
Negi, H. D., Pandey, B. S., Jadhav, R. D., & Mogal, A. K. (2025). Artificial intelligence in education: A systematic review of applications and impacts. International Research Journal of Engineering and Technology, 12(9). https://www.irjet.net/archives/V12/i9/IRJET-V12I942.pdf

Mogal, A. K., & Bhamare, A. D. (2026). Towards intelligent container orchestration in cloud computing: Open research issues. International Journal of Engineering Research & Technology, 14(2). https://www.ijert.org/research/IJERTCONV14IS020185.pdf

Mogal, A. K., & Shewale, B. S. (2026). Container management frameworks for distributed cloud infrastructures: A review. International Journal of Engineering Research & Technology, 14(2). https://www.ijert.org/research/IJERTCONV14IS020121.pdf

Barbade, O. S., Mogal, A. K., & Shelar, M. N. (2026). Hybrid intelligence in systematic detection of addictive design: A pattern-based approach. International Journal of Advance and Innovative Research, 13(1).

Ambekar, S. B., Mogal, A. K., & Shelar, M. N. (2026). Advances in automated data preprocessing: Trends and challenges from 2020 to 2026. Page no 143-150 International Journal of Advance and Innovative Research, 13(1). https://iaraedu.com/pdf/ijair-volume-13-issue-1-xvi-january-march-2026.pdf

Janamanchi, B., Mogal, A. K., S, P. B., Sathiyamoorthy, C., Patil, P. A., & Mandal, P. (2025). Cost-efficient resource allocation in hybrid cloud environments using grey wolf optimizer and ant colony algorithms. In 2025 World Skills Conference on Universal Data Analytics and Sciences (WorldSUAS) (pp. 1–6). IEEE. https://doi.org/10.1109/WorldSUAS66815.2025.11198948

Mogal, A. K., & Sonaje, V. P. (2025). Workload distribution and API server optimization for cloud-native scaling in Kubernetes. International Journal of Computational and Experimental Science and Engineering, 11(3), 5050–5057. https://doi.org/10.22399/ijcesen.2820

Mogal, A. K., Anitha, V., Bhatt, P. N., Srivasatava, K., Devi, S. R., & Perada, A. (2025). Optimizing cloud security with CNN and XGBoost models for intrusion detection systems. In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS) (pp. 1–6). IEEE. https://doi.org/10.1109/ICICACS65178.2025.10968768

Kumar, G. N. K., Syed, S., Mogal, A. K., Abid, T., Perada, A., & Suneetha, S. (2025). Enhancing cloud infrastructure security with GraphSAGE-based intrusion detection systems. In 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN) (pp. 1–6). IEEE. https://doi.org/10.1109/ICISCN64258.2025.10934650

Mogal, Amit Karbhari and Umamaheswari, T.S. and Yadav, Sameer and Komalavalli, D and R Gadekar, Amit and M. Chipade, Amar, Machine Learning Approach for Air Quality Prediction in Smart Cities Using a Neural Network Logistic Leaf-Based Model (November 15, 2024). Proceedings of the 3rd International Conference on Optimization Techniques in the Field of Engineering (ICOFE-2024), Available at SSRN: https://ssrn.com/abstract=5091438 or http://dx.doi.org/10.2139/ssrn.5091438

Mogal, A. K., & Sonaje, V. P. (2024). A collaborative framework for intrusion detection in cloud computing based on HLA-CNN-BiLSTM-SVM model. In 2024 Asian Conference on Intelligent Technologies (ACOIT) (pp. 1–6). IEEE. https://doi.org/10.1109/ACOIT62457.2024.10939303

Mogal, A. K., Sonaje, V. P., Kumar, C. N. S., Devi, V. C., Gottumukkala, P., & D, S. K. (2024). Efficiency beyond limits: LSTM and k-NN synergy for forecasting energy needs in data centers. In 2024 Asia Pacific Conference on Innovation in Technology (APCIT) (pp. 1–7). IEEE. https://doi.org/10.1109/APCIT62007.2024.10673539

Mogal, A. K., & Sonaje, V. P. (2024). Dynamic resource allocation in cloud data centers using reinforcement learning for energy-efficient computing. African Journal of Biological Sciences, 6(13), 4866–4875. https://afjbs.com/uploads/paper/62dfc7848923f6778a303f564b3437e8.pdf 

Mogal, A. K., & Sonaje, V. P. (2024). Dynamic load balancing in cloud computing environments: A genetic algorithm approach. Nanotechnology Perceptions, 20(S6), 1–12. https://nano-ntp.com/index.php/nano/article/view/984/866

Mogal, A. K., & Sonaje, V. P. (2024). Predictive autoscaling for containerized applications using machine learning. In 2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU) (pp. 1–6). IEEE. https://doi.org/10.1109/IC-CGU58078.2024.10530773

Halde, M. L., & Mogal, A. K. (2020). Application of web technologies in academic libraries. Research Journey: International Multidisciplinary E-Research Journal, Special Issue 230.

Mogal, A. K., & Shinde, S. N. (2017). Cyber security: Threats, challenges and solutions for small business success. International Journal of Innovative Computer Science & Engineering, 4(1).

Shinde, S. N., & Mogal, A. K. (2015). A conceptual review of security issues in cloud computing. Kaav International Journal of Science, Engineering & Technology, 2(3), 90-100 https://www.kaavpublications.org/abstract/article-716.pdf

Mogal, A. K. (2012). Wireless communication technology: A study of 3G technology. International Journal of Advanced Networking and Applications, 3(5), 1–6. https://www.ijana.in/papers/ncetcsit2011-1.pdf

Indian Design granted for Device for Real-Time Cloud Resource Optimization — Application No. 467940-001; CBR No. 216532; applicants and inventors Dr. Amit Karbhari Mogal and Dr. Vaibhav P. Sonaje.

1. CEO (College Examination Officer) (9^th January 2017- 14^th June 2017, 2017-2020)
2. NSS Programme Officer (2014-15, 2015-16, 2016-17)
3. Worked as Nodal Officer AISHE(2016-17, 2017-2018, 2018-2019)
4. Worked as a MVP Samajpatrika co-ordinator of CMCS College.(2017-2018)
5. Worked as an Editor of CMCS College’s Annual Magazine Kshitij.(2016-2017, 2017-2018, 2018-19)
6. Worked as a member of examination Committee (2013-14)
7. Junior Supervisor for University Examination
8. Internal Senior supervisor for University Examination
9. CAP Co-ordinators for First Year Examination