Publications

List of Papers Published in International Journals:

1. Akshat Agrawal, Aayush Agrawal, Nilesh Kumar Verma, Arepalli Peda Gopi, K. Jairam Naik, (2025), "A graph reinforcement LearningPowered Online-Computational task offloading and latency minimization framework for wireless mobile edge computing networks", Cognitive Systems Research, Volume 91, 2025, 101355, https://doi.org/10.1016/j.cogsys.2025.101355. (SCIE, IF = 2.1). ELSEVIER.
2. Arepalli, P.G., Naik, K.Jairam. Water quality classification framework for IoT-enabled aquaculture ponds using deep learning based flexible temporal network model. Earth Sci Inform 18, 351 (2025). https://doi.org/10.1007/s12145-025-01857-2.  (SCIE, IF = 2.7). SPRINGER.
3. Abhinav Khanna, Anjali Gandikota, Nilesh Kumar Verma & K. Jairam Naik.. (2025), “A GRL-aided federated graph reinforcement learning approach for enhanced file caching in mobile edge computing”. Computing, 107, 40 (2025). https://doi.org/10.1007/s00607-024-01396-6. (SCIE, IF = 3.3). SPRINGER.
4. Arepalli Peda Gopi, K. Jairam Naik & Amgoth Jagan. (2024). “An IoT Based Water Quality Classification Framework for Aqua-Ponds Through Water and Environmental Variables Using CGTFN Model”, International Journal of Environmental Research, 18, 73 (2024). https://doi.org/10.1007/s41742-024-00625-2. (SCIE, IF = 2.6). SPRINGER.
5. Venkatesh, K., & K. Jairam Naik. (2024). “An ensemble transfer learning for nutrient deficiency identification and yield-loss prediction in crop”. Multimedia Tools and Applications, 83, 78535–78561 (2024). https://doi.org/10.1007/s11042-024-18592-3. (SCIE, IF = 3.0). SPRINGER.
6. Venkatesh, K., & K. Jairam Naik. (2024). “Nutrient deficiency identification and yield-loss prediction in leaf images of groundnut crop using transfer learning”. Signal, Image and Video Processing, 18, 4553–4568 (2024). https://doi.org/10.1007/s11760-024-03094-4.  (SCIE, IF = 2.0). SPRINGER.
7. Venkatesh, K., K. Jairam Naik & Shankar, A. Quantum convolution neural network for multi-nutrient detection and stress identification in plant leaves. Multimed Tools Appl 83, 65663–65685 (2024). https://doi.org/10.1007/s11042-023-17992-1. (SCIE, IF = 3.0). SPRINGER.
8. Peda Gopi Arepalli, K. Jairam Naik (2023) "Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU", Ecological Informatics, 2023, 102405, ISSN 1574-9541,  https://doi.org/10.1016/j.ecoinf.2023.102405. (SCIE, IF = 5.1). ELSEVIER.
9. Peda Gopi Arepalli, & K. Jairam Naik, (2023). "An IoT‐based water contamination analysis for aquaculture using lightweight multi‐headed GRU model". Environ Monitoring and Assessment 195, 1516 (2023). https://doi.org/10.1007/s10661-023-12126-4. (SCIE, IF = 3.0). SPRINGER.
10. Nilesh Kumar Verma, & K. Jairam Naik, (2023). "Optimized fog community framework with advanced genetic algorithm for enhanced performance dynamics". The Journal of Supercomputing (2023). https://doi.org/10.1007/s11227-023-05769-0. (SCI, IF = 3.3). SPRINGER.
11. Peda Gopi Arepalli, & K. Jairam Naik, (2023). "An IoT based Smart Water Quality Assessment Framework for Aqua-Ponds Management using Dilated Spatial-Temporal Convolution Neural Network (DSTCNN)", Aquacultural Engineering, 2023, 102373, ISSN 0144-8609, https://doi.org/10.1016/j.aquaeng.2023.102373. (SCI, IF = 4.0). ELSEVIER.
12. Agrawal, S., Dubey, S. & Naik, K.J. (2023), "Deep reinforcement learning for forecasting fish survival in open aquaculture ecosystem". Environmental Monitoring and Assessment, Vol. 195 (1389). https://doi.org/10.1007/s10661-023-11937-9. (SCIE, IF = 3.0). SPRINGER.
13. Peda Gopi Arepalli, & K. Jairam Naik, (2023). "A deep learning-enabled IoT framework for early hypoxia detection in aqua water using light weight spatially shared attention-LSTM network". Journal of Supercomputing. https://doi.org/10.1007/s11227-023-05580-x.  Electronic ISSN: 1573-0484/Print ISSN: 0920-8542. (SCI, IF = 3.3). SPRINGER.
14. Peda Gopi Arepalli, & K. Jairam Naik, (2023). "An IoT framework for quality analysis of aquatic water data using time-series convolutional neural network". Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-023-27922-1.  Electronic ISSN: 1614-7499. (SCI, IF = 5.8). SPRINGER.
15. Mamidipaka Tejaswini, T. Hari Sumanth, K. Jairam Naik. (2023) "Single image deraining using modified bilateral recurrent network (modified_BRN)", Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-15276-2. (SCIE, IF = 3.6). SPRINGER.
16. Aman Gupta, Shashank Mishra, Sourav Chandan Sahu, Ulligaddala Srinivasarao & K. Jairam Naik. (2023) "Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net". New Gener. Comput. (2023). https://doi.org/10.1007/s00354-023-00217-2. (SCIE, IF = 2.6). SPRINGER.
17. Kanaparthi, S.D., Patle, A. & Naik, K.J. (2023) "Prediction and detection of emotional tone in online social media mental disorder groups using regression and recurrent neural networks". Multimed Tools Appl. https://doi.org/10.1007/s11042-023-15316-x. (SCIE, IF = 3.6). SPRINGER.
18. Bajpai, C., Sahu, R. and Naik, K.J. (2023) ‘Deep learning model for plant-leaf disease detection in precision agriculture’, Int. J. Intelligent Systems Technologies and Applications, Vol. 21, No. 1, pp.72–91. https://doi.org/10.10.1504/IJISTA.2023.10055077. (Scopus).
19. Yugbhanu Rajwade, Divi Arpit, and K Jairam Naik. (2023) Applications of Bluetooth and Wifi-Direct for Local Communication and their Performance Evaluation, Int. J. of Communication Networks and Distributed Systems. Vol. xx, No. xx, pp.xx–xx. DOI: 10.1504/IJCNDS.2024.10056567. (ESCI, Scopus, IF = 1.3)(InPress).
20. Ishu Rani, Bhushan Thakre, K. Jairam Naik (2024) "IoT Based Vehicular Accident Detection Using Deep Learning Model", International Journal of Autonomous and Adaptive Communications Systems, Vol.17, Issue.1, pp.1-23. DOI: 10.1504/IJAACS.2024.135931. [ESCI, Scopus, IF = 0.4].
21. K Jairam Naik (2022), An Adaptive Push-Pull for Disseminating Dynamic Workload and Virtual Machine Live Migration in Cloud Computing, International Journal of Grid and High Performance Computing (IJGHPC) 14(1), pp.1-25. DOI: 10.4018/IJGHPC.301591. (ESCI, Scopus, IF = 1.0).
22. Shritesh Jamulkar, Milind Kumar Verma,  K. Jairam Naik  (2022), "An echo-based autonomous real-time system for efficient maintenance of students attendance (E.A.R)", International Journal of Intelligent Information and Database Systems, Vol. 15, No. 4, pp.353–376. DOI: 10.1504/IJIIDS.2022.10044370 [Scopus].
23. K Jairam Naik (2021), “A Deadline Based Elastic Approach for Balanced Task Scheduling in Computing Cloud Environment”, International Journal of Cloud Computing (IJCC), Vol. 10, Nos. 5/6, pp.579–602. DOI: 10.1504/IJCC.2021.10044188 [Scopus] 
24. K Jairam Naik, Mounish Pedagandham, and Amrita Mishra (2021), "Workflow Scheduling Optimization for Distributed Environment using Artificial Neural Networks and Reinforcement Learning (WfSo_ANRL)" , International Journal of Computational Science and Engineering (IJCSE), Vol. 24, No. 6, 2021, PP.653-670. DOI: 10.1504/IJCSE.2021.10041146. [ESCI, Scopus, IF = 2.0]. 
25. K Jairam Naik, Siddharth Chandra and Paras Agarwal (2021), "Dynamic workflow scheduling in the cloud using a neural network-based multi-objective evolutionary algorithm", Int. J. Communication Networks and Distributed Systems, Vol. 27, No. 4, 2021, pp.424-451. DOI: 10.1504/IJCNDS.2021.10040231 [ESCI, Scopus, IF = 1.3].
26. K Jairam Naik (2021), "A cloud-fog computing system for classification and scheduling the information-centric IoT applications", Int. J. Communication Networks and Distributed Systems, Vol. 27, No. 4, 2021, pp.388-423. DOI: 10.1504/IJCNDS.2021.10039780 [ESCI, Scopus, IF = 1.3].
27. K Jairam Naik, DH Naik “Minimizing Deadline Misses and Total Run-time with Load Balancing for a Connected Car Systems in Fog Computing”, (International Journal of) Scalable Computing: Practice and Experience, ISSN 1895-1767, ©2020 SCPE. Volume 21, Issue 1, pp. 73–84, DOI 10.12694:/scpe.v21i1.1616. [ESCI, Scopus]
28. K Jairam Naik, “A Group Tasks Scheduling Algorithm for Cloud Computing Network Based on QoS”, International Journal of Engineering & Technology, vol. 7, No 4.6 (2018): Special Issue 6, pp. 53-59, 2018. DOI: https://doi.org/10.14419/ijet.v7i4.6.20236. [Scopus]
29. K Jairam Naik (2018), “Workflow Scheduling Algorithm in Multi-Tenant Cloud Computing Environments (NCWSA)”, International Journal of Pure and Applied Mathematics, Volume 120, Issue 6, 2018, pp. 3653-3668.
30. K Jairam Naik, A Jagan, N Satyanarayana, “A Cost Greedy Price Adjustment based Job Scheduling and Load Balancing in Grids”, International Journal of Computing and ICT Research, vol.10, Issue 1, pp.19-31, 2016.
31. K Jairam Naik, A Jagan, N Satyanarayana, “A Novel Approach for Job Scheduling and Load Balancing in Grid Computing Environment”, Annals. Computer Science Series Journal, Vol. XIII fasc.2, pp. 55-64, 2015.
32. K Jairam Naik, A Jagan, N Satyanarayana, “An Optimal Ant Algorithm for Balanced Scheduling in Computing Grids”, i-Manager Journal on Software Engineering, Vol.10, Issue.2, pp. 6-19, 2015. DOI: https://doi.org/10.26634/jse.10.2.3731.
33. K Jairam Naik, K Vijaya Kumar, N Satyanarayana, “Scheduling Tasks on Most Suitable Fault tolerant Resource for Execution in Computational Grid”, International Journal of Grid and Distributed Computing (IJGDC), Vol.5, Issue. 3, pp. 121-132, 2012. [ESCI]

List of Papers Published in National & International Conferences:

1. Nilesh Kumar Verma, K. Jairam Naik , (2025), "Advancing Fog-Edge Continuum: A Hybrid Approach Using GRL and Stable Matching for Task Offloading, Procedia Computer Science", Volume 258, 2025, Pages 3523-3534, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2025.04.608.  4th International Conference on Machine Learning and Data Engineering (ICMLDE 2025), 6th-8th November 2025, School of Computer Science, UPES University, Dehradun, India. (BEST PAPER AWARD)
2. Bhawna Kol and K. Jairam Naik. (2025). "A Deep Reinforcement Learning-Based LSTM-Enhanced A3C Model for Predicting Bacterial Gill Disease in Aquaculture Water", 2024 International Conference on Decision Aid Sciences and Applications (DASA), 11-12 December 2024, Manama, Bahrain, 2024, pp. 1-7. https://doi.org/10.1109/DASA63652.2024.10836400.  IEEE Xplore.
3. Bhawna Kol, Khetavath Jairam Naik, (2025), "A Reinforcement Learning based Hybrid GR-DQN Model for Predicting Ichthyophthiriosis Disease in Aquaculture Through Water Quality Analysis", Procedia Computer Science, Volume 258, 2025, Pages 374-385, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2025.04.274. 4th International Conference on Machine Learning and Data Engineering (ICMLDE 2025), 6th-8th November 2025, School of Computer Science, UPES University, Dehradun, India.
4. K. Jairam Naik. (2024). "Deep Learning Based Segmentation of Weed Images in crop fields using U-Net", 2024 3rd International Conference for Advancement in Technology (ICONAT), 06-08 September 2024, GOA, India, 2024, pp. 1-6. https://doi.org/10.1109/ICONAT61936.2024.10774994. IEEE Explore.
5. N. Putta, T. S. Kumari and K. Jairam Naik. (2024). "Mask Region-Based Convolutional Neural Network for Disease Detection in Rice Leaf", 2024 3rd International Conference for Advancement in Technology (ICONAT), 06-08 September 2024, GOA, India, 2024, pp. 1-6. https://doi.org/10.1109/ICONAT61936.2024.10775189. IEEE Explore.
6. Peda Gopi Arepalli, Jairam Naik K, & Jitendra Kumar Rout. (2024). "Aquaculture Water Quality Classification with Sparse Attention Transformers: Leveraging Water and Environmental Parameters", ICSCA '24: 13th International Conference on Software and Computer Applications, Feb. 1-3, 2024, Bali Iland, Indonesia. Pages 318 – 325. https://doi.org/10.1145/3651781.3651829. ACM Digital Library. (BEST PAPER AWARD)
7. Nilesh Kumar Verma, & Jairam Naik K. (2024). “Exploring The Trade-off between Efficient Service Placement Time and Optimized Fog Colonies Utilizing Advanced Genetic Algorithm with Diverse Network Topologies”, ICSCA '24: 13th International Conference on Software and Computer Applications, Feb. 1-3, 2024, Bali Iland, Indonesia. Pages 373–378. https://doi.org/10.1145/3651781.3651838. ACM Digital Library.
8. K. Venkatesh, & Jairam Naik K. (2023). "Deep learning for macro-nutrient deficiency identification in the groundnut plants," 8th International Conference on Computing in Engineering and Technology (ICCET 2023), Hybrid Conference, 14-15 July 2023, Patna, India, 2023, pp. 193-198. https://doi.org/10.1049/icp.2023.1489. IET Conference Proceeding.
9. K. Venkatesh & Jairam Naik K. (2021) "An IoT Framework for Groundnut Crop Yield Prediction Using K-Means Algorithm", 2021 International Conference on Data Analytics for Business and Industry (ICDABI), 25-26 October 2021, Sakheer, Bahrain, 2021, pp. 266-271. https://doi.org/10.1109/ICDABI53623.2021.9655923. IEEE Xplore.
10. Nilesh Kumar Verma and K. J. Naik, "Optimized Fog Colony Framework for Efficient Service Placement using Hybrid Genetic Algorithm", 2023 International Conference on Decision Aid Sciences and Applications (DASA), Annaba, Algeria, 2023, pp. 652-657, doi: 10.1109/DASA59624.2023.10286602.
11. Tejaswini, M., Hari Sumanth, T., Jairam Naik, K. (2023). Linear Regression Model for Predicting Virtual Machine Consolidation Within the Cloud Data Centers (LrmP_VMC). Machine Intelligence Techniques for Data Analysis and Signal Processing. Lecture Notes in Electrical Engineering, vol 997. Springer, Singapore. https://doi.org/10.1007/978-981-99-0085-5_7.
    
12. Patle, A., Kanaparthi, S.D., Naik, K.J. (2023). Enhanced Hybrid Optimization Technique to Find Optimal Solutions for Task Scheduling in Cloud-Fog Computing Environments. In: Venkataraman, R., Uthra, A., Sugumaran, V., Minu, R.I., Chelliah, P.R. (eds) Internet of Things. ICIoT 2022. Communications in Computer and Information Science, vol 1727. Springer, Cham. https://doi.org/10.1007/978-3-031-28475-5_10. (BEST PAPER AWARD)
13. Mishra, S., Gupta, A., Jairam Naik, K. (2023). Efficient Computing Resource Sharing for Mobile Edge-Cloud Computing Networks. In: Mandal, J.K., De, D. (eds) Frontiers of ICT in Healthcare. Lecture Notes in Networks and Systems, vol 519. Springer, Singapore. https://doi.org/10.1007/978-981-19-5191-6_42.
    
14. A. P. Gopi and K. J. Naik, "An IoT model for Fish breeding analysis with water quality data of pond using Modified Multilayer Perceptron model," 2022 International Conference on Data Analytics for Business and Industry (ICDABI), Sakhir, Bahrain, 2022, pp. 1-6, doi: 10.1109/ICDABI56818.2022.10041617.
15. Jairam Naik K, Sundar N., Agrawal S., Singhania N. (2022) Cloud-Based Smart Traffic Lights Monitoring and Controlling Using IoT, Advanced Computational Paradigms and Hybrid Intelligent Computing. Advances in Intelligent Systems and Computing, vol 1373. Springer, Singapore. https://doi.org/10.1007/978-981-16-4369-9_14. 
16. A. P. Gopi and K. J. Naik, "A Model for Analysis of IoT based Aquarium Water Quality Data using CNN Model," 2021 International Conference on Decision Aid Sciences and Application (DASA), Sakheer, Bahrain, 2021, pp. 976-980, doi: 10.1109/DASA53625.2021.9682251.
17. K Jairam Naik, An Alternate Switch Selection for Fault Tolerant Load Administration and VM Migration in Fog Enabled Cloud Datacenter, 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 29-30 September 2021 - Bahrain, University of Bahrain. DOI: 10.1109/3ICT53449.2021.9581964. IEEE Explore (2021)
18. K Jairam Naik, "Optimized Genetic Algorithm for Efficient Allocation of Virtualized Resource in Cloud (OGA_EAVRC)", International Conference onArtificial Intelligence and Smart Systems (ICAIS 2021), 25-27 March-2021, JCT College of Engineering and Technology, Coimbatore (T.N), India. (IEEE Explore, 2021). ISBN:978-1-7281-9537-7. DOI: 10.1109/ICAIS50930.2021.9395951
19. K Jairam Naik, "Classification and Scheduling of Information-Centric IoT Applications in Cloud-Fog Computing Architecture (CS_IcIoTA)", 2020 14th International Conference on Innovations in Information Technology (IIT), During Nov 17, 2020 - Nov 18, 2020, United Arab Emirates University (UAEU), Al Ain, United Arab Emirates (UAE). DOI: 10.1109/IIT50501.2020.9299006, ISBN:978-1-7281-8184-4, PP.82-87, IEEE Explore.
20. K Jairam Naik, "A Processing Delay Tolerant Workflow Management in Cloud-Fog Computing Environment (DTWM_CfS)", 2020 International Conference on Decision Aid Sciences and Application (DASA 20), During 8^th – 9^th  November 2020, College of Business Administration at the University of Bahrain, Kingdom of Bahrain. DOI:10.1109/DASA51403.2020.9317201, PP.908-913. IEEE Explore.
21. K Jairam Naik, "A Co-Scheduling System for Fog-node Recommendation and Load Management in Cloud-fog environment (CoS_FRLM)",  2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), During 26 to 27 October 2020, University of Bahrain, Kingdom of Bahrain. ISBN:978-1-7281-9675-6, DOI: 10.1109/ICDABI51230.2020.9325619. IEEE Explore
22. K Jairam Naik, “A Dynamic ACO based Elastic Load Balancer for Cloud Computing”, 3rd International Conference on Data Engineering and Communication Technology (ICDECT-2019) during 15^th  – 16^th March 2019 at Stanley College of Engineering and Technology for Women (SCETW), Abids, Hyderabad, Telangana, India. https://doi.org/10.1007/978-981-15-1097-7_2.
23. K Jairam Naik, Putta Narsaih, “Workflow Task Execution Time Prediction in the Cloud using Two-Stage Machine Learning Approach”, 1st  National Conference on Convergence of Emerging Technologies in Computer Science and Engineering (CETCSE2K17)”, Dec. 29-30, 2017, (NNRGI),  pp. 176-183, ISBN: 978-93-5291-230-8. 
24. K Jairam Naik, A Jagan, N Satyanarayana, “An enhanced mechanism for balanced job scheduling based on deadline control in computational grid”, Emerging Trends in Electrical, Communications and Information Technologies, Lecture Notes in Electrical Engineering 394 book series (LNEE, volume 394), Springer Nature Singapore, pp. 3-17, 2016. DOI: https://10.1007/978-981-10-1540-3_1, ISBN: 978-981-10-1540-3/978-981-10-1538-0.
25. K Jairam Naik, A Jagan, N Satyanarayana, “A novel algorithm for fault tolerant job Scheduling and load balancing in grid computing environment”, International Conference on Green Computing and Internet of Things (ICGCIoT 2015), pp.1113-1118,  8-10 Oct, 2015, Galgotia University, Noida. Published in IEEE Explore. DOI: 10.1109/ICGCIoT.2015.7380629. ISBN: 978-1-4673-7910-6/978-1-4673-7909-0.
26. K Jairam Naik, N Satyanarayana, “A Novel Fault-tolerant Task Scheduling Algorithm for Computational Grids”, 15th IEEE International Conference on Advanced Computing Technologies (ICACT-2013), pp. 13-18, 21-22 Sep, 2013, AITS, Rajampet, Andrapradesh. Published in IEEE Explore. DOI: 10.1109/ICACT.2013.6710529. ISBN: 978-1-4673-2818-0/978-1-4673-2816-6.
27. K Jairam Naik, K Vijaya Kumar, N Satyanarayana, “A Policy Evaluation Method for Multi Grid Resource Management”, National Conference INDIACom-2012, pp.36-41, 22-23 Feb, 2012, BVICAM, New Delhi. ISSN 0973-7529; ISBN 978-93-80544-03-8.
28. K Jairam Naik, “Maintenance of temporal Coherency in Disseminating Dynamic Web Data”, International Conference on ICMID–2010, 15 -16    Dec, 2010, GRIET, Hyderabad. 

List of Books/Book-Chapters:

1. K Jairam Naik, Avani Mishra, “Filter Selection for Speaker Diarization using Homomorphism: Speaker Diarization”, Book Title: Artificial Neural Network Applications in Business and Engineering (300919-093756), Chapter DOI: 10.4018/978-1-7998-3238-6.ch005, DOI: 10.4018/978-1-7998-3238-6, ISBN13: 9781799832386|ISBN10: 1799832384, IGI Global Publishers, 2020. 
2. K Jairam Naik, Annukriti Soni, "Video Classification using 3D Convolutional Neural Network", Book Title: Advancements in Security and Privacy Initiatives for Multimedia Images, IGI Global Publishers, (BOOK DOI: 10.4018/978-1-7998-2795-5, ISBN13: 9781799827955, ISBN10: 179982795X, EISBN13: 9781799827979), 2020. CHAPTER DOI: https://10.4018/978-1-7998-2795-5.ch001, Pages 1-18. 
3. Chapter-11: Spammer Detection Based on a Heterogeneous Multiple-mini-graph Neural Network By Kavita Jatwar, Rishabh Dadsena, Sajal Ranjan Chakravarty, K. Jairam Naik, in Book: Applied Computer Vision and Soft Computing with Interpretable AI, Edition: 1st, First Published 2023, Imprint Chapman and Hall/CRC, Taylor & Francis Group. Pages 23.  Chapter DOI: 10.1201/9781003359456-11. BOOK  https://doi.org/10.1201/9781003359456. eBook ISBN: 9781003359456. 
4. Chapter-14: A Review of Sentiment Analysis Applications and Challenges By Ulligaddala Srinivasarao, R. Karthikeyan, Aakanksha Sharaff, K. Jairam Naik, in Book: Applied Computer Vision and Soft Computing with Interpretable AI, Edition: 1st, First Published 2023, Imprint Chapman and Hall/CRC, Pages12.  Chapter DOI: 10.1201/9781003359456-14. Taylor & Francis Group. https://doi.org/10.1201/9781003359456. eBook ISBN: 9781003359456.

PATENTS FILED: 

 Patent Title: Fish Pond Water Quality Monitoring Device 

 @THE PATENT OFFICE, Department of Industrial Policy and Promotion, Ministry of Comers and Industry, GOVERNMENT OF INDIA. Journal No: 04/2023, Class: 0-05, Design No.: 375537-001, Date: 13/12/2022, Sr.No: 127296.

                                            Authors: 1. Arepalli Peda Gopi, and 2. K. Jairam Naik.

Ph.D SCHOLARS

Thesis Awarded: 02 

1. Thesis Title:  A Deep Learning Framework for Quality Analysis of Water in IoT-surveillance Aquaculture, AREPALLI PEDA GOPI (Roll No: 20315002), Awarded in APRIL-2024.  

2. Thesis Title: A Framework for Crop Yield Prediction and Nutrient Deficiency Identification in Precision Agriculture using Deep learning Approaches. KUMMARI VENKATESH (Roll No: 20315007),

       Awarded in FEB/MARCH-2025. 

Thesis Submitted: 00 

Ongoing: 04

1. Reg.No: 22315005 (Work Profile: Exploring the Service Placement Optimization for Improved Performance Dynamics in Edge-Fog Continuum)

2.   Reg.No: 23315003 (Work Profile: Development of Deep-reinforcement Learning Models for Early Disease Prediction in Aquaculture Species Based on Water Quality Parameters)

3.   Reg.No: 24315002 (Work Profile: ---- Literature survey)

4.   Reg.No: 24315003 (Work Profile: ---- Literature survey)

List of Workshops/Seminars/Conferences Organized:

1. 2^nd International Conference on Computational Intelligence and Network Security (ICCINS-2025) scheduled to be held during 3-4 April, 2025. (Role: Organizing Secretary).
2. National Workshop on "Blockchain, Fintech and Cyber Security: Shaping the Future of Secure Digital Finance (BFC-25)” during 6th - 16th January, 2025, at Dept. of CSE, NIT Raipur, (Role: Coordinator). 
3. 1^st International Conference on Computational Intelligence and Network Security (ICCINS-2022)-(VIRTUAL), During 3-4 March, 2022, @Dept. of CSE, National Institute of Technology Raipur, Chhattisgarh, INDIA.
4. National Workshop on "Computational Intelligence & Blockchain Technologies” during 4^th- 8^th  October, 2021 at Dept. of CSE, NIT Raipur.
5. National Workshop on "Cloud Computing & Network Security” during 14^th- 18^th   October, 2019 at Dept. of CSE, NIT Raipur.

Google Scholar Profile

 https://scholar.google.com/citations?user=yyE-OBwAAAAJ&hl=en

Educational Qualifications: 

1. Ph.D(Computer Science & Engineering) in 2017 from Jawaharlal Nehru Technological University Hyderabad (JNTUH), Telangana. Thesis Title: Novel Algorithms for Balanced Job Scheduling in Grids
2.  M.Tech(Computer Science & Engineering) in 2009 from College of Engineering, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Telangana.
3. B.Tech(Computer Science & Engineering) in 2003 from SSJEC, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Telangana.

Work Experience: 18 Years of Teaching Experience in Various Engineering Colleges, Telangana.

 Department level committee chairman/members: 

Professional Affiliations: 

1. Life Member, Computer Society of India (CSI). Associate Membership No. 00174875

Certification Courses: 

1. Cloud Computing (NPTEL )
2. Introduction to Internet of Things (NPTEL )

Significant Outreach Institute Activities (2020 onwards...)