Home

Institute video

Department

Officers & Staff

Academics

Innovation

International Relations

Placement

Research

Centers

In Media

centenary countdown

Faculty details

Prof.Dharavath Ramesh

Designation: Associate Professor

Department: Computer Science and Engineering

Email: drramesh[at]iitism[dot]ac[dot]in

Contact Number:

Office Number: +91-326-223-5795

Personal Page: Click Here

About Me: ********Welcome to my professional space************ || “You are what you believe in. You become that which you believe you can become” ― Bhagavad Gita || I am Dr. Ramesh Dharavath, currently serving as an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology (ISM) Dhanbad. My research interests lie at the intersection of Distributed Systems, Blockchain Technology, Cloud Security, and Machine Learning, with strong application domains in agriculture, healthcare, and digital infrastructure. Over the past 15+ years, I have been engaged in advancing both academic instruction and research-driven innovation. I have led and contributed to several funded research projects supported by national and international agencies including the SERB (Government of India), MeitY, and the PMU Cybersecurity Center (Saudi Arabia). My research has resulted in multiple patents and over 90 publications in reputed journals such as IEEE Transactions, ACM Transactions, Elsevier, and Springer. In addition to my role at IIT(ISM), I collaborate extensively through international visiting appointments at institutions including the University of Aberdeen (UK), Warsaw University of Technology (Poland), and the University of Southampton (UK). I also actively contribute to academic development through doctoral supervision, curriculum design, and executive training programs in emerging technologies. As a Senior Member of IEEE and ACM, I remain committed to impactful research and mentorship, with a focus on developing scalable and secure solutions to address societal challenges through advanced computing. || “It is better to live your own destiny imperfectly then to live an imitation of somebody else's life with perfection.” ― Bhagavad Gita ||

Research Interest: Distributed Databases, Distributed and Cloud Computing, Blockchain, Machine Learning, Modelling and Processing Big Data

Curriculum
Vitae
Publications

Teaching

Database Management Systems
Advanced Database Management Systems
Cloud Computing
Distributed Systems
Big Data Analytics
Ethereum and Smart Contracts - DApps Development and Blockchain
Advanced Operating Systems

Academics

Ph.D: [Computer Science and Engineering] -  Indian Institute of Technology (Indian School of Mines) Dhanbad, India
M.Tech: [Computer Science and Engineering (Spl. Software Engineering)] - Jawaharal Nehru Technological University Hyderabad, India
B.Tech: [Computer Science and Engineering] - Kakatiya Institute of Technology and Science Warangal, Telangana, India

Position

2022 - (Present) Associate Professor, Indian Institute of Technology (Indian School of Mines) Dhanbad.
2024 - (Nov-Dec) Visiting Lecturer, Warsaw University of Technology, Warsaw, Poland.
2024 - (May-July) Visiting Researcher, University of Aberdeen, Scotland, United Kingdom.
2023 - (May-July) Visiting Professor, University of Southampton, Southampton, United Kingdom.
2019–2022 Sr. Assistant Professor, Indian Institute of Technology (Indian School of Mines) Dhanbad.
2016–2019 Assistant Professor (Grade - I), Indian Institute of Technology (Indian School of Mines) Dhanbad.
2011–2016 Assistant Professor (Grade - II), Indian Institute of Technology (Indian School of Mines) Dhanbad.
2009–2011 Senior Lecturer, Swarna Bharathi Inst. of Technology, Khammam, India.
2005–2007 Lecturer, Dr. Paul Raj Engineering College, Bhadrachalam, Telangana, India.
2004–2005 (Database Developer), International Trade Links (South Africa, UAE, Mumbai)

Awards and Honors

  • Certified in Generative AI & Prompt Engineering by EDUX Labs in association with Mechanica of IIT Madras, January 2025. 
  • Received best paper award for the paper Redactable Blockchain-based EHR Enhancement Utilising Extended Chameleon Hashing and Additional Trapdoor Functionality at 5th International Conference on Data Analytics and Management (ICDAM-2024), 14-15 June 2024, London Metropolitan University, London, United Kingdom.
  • Received best paper award for the paper Redactable Blockchain-based EHR Enhancement Utilising Extended Chameleon Hashing and Additional Trapdoor Functionality at 5th International Conference on Data Analytics and Management (ICDAM-2024), 14-15 June 2024, London Metropolitan University, London, United Kingdom.
  • Received International research grant award for the project Solving the medicine price tampering supply chain struggle with blockchain: design of pharma drug model from PMU Cybersecurity Research Center, Prince Mohammad Bin Fahd University, Kingdom of Saudi Arabia, September 19, 2022.
  • Received Int. participation grant award for the paper RBDA: Redactable-Blockchain based Secure Data Aggregation Scheme for IoT enabled Cloud Paradigm. by 20th International conference Committee PerCom 2022, Pisa, Italy (during March 21-25, 2022).
  • Received best paper award for the paper DRP-DBAS: Dynamic Resource Provisioning for Deadline and Budget Aware Workflow Scheduling in IaaS Clouds. at 16th International Conference on Information Processing (ICInPro-2021), 23 October 2021, University Visvesvaraya College of Engineering, Bangalore University, Bangalore.
  • Received best paper award for the paper Ethereum MongoDB: Integrating Blockchain with Non- Relational Databases at 4th International Conference on Computational Intelligence & Data Engineering (ICCIDE-2021), 14 August 2021, VIT-AP University, Andhra Pradesh.
  • Elected to the grade of Senior Member, ACM United States of America. July, 29 2021.
  • Received International research grant award for the project Secure and dynamic privacy-preserving public auditing schemes for IOT enabled data in clouds from PMU Cybersecurity Research Center, Prince Mohammad Bin Fahd University, Kingdom of Saudi Arabia, April, 07 2021.
  • Received best paper award for the paper Correlated high average-utility itemset mining at 8th International conference on Frontiers of Intelligent computing: Theory and Applications (FICTA-2020), 04-05 January 2020, National Institute of Technology, Surathkal, Karantaka.
  • Received Empowerment and Equity Opportunities for Excellence in Science Award for the project Machine Learning based Agriculture Advent for Farmer Activity Development in India: An Application Approach from Science and Engineering Research Board (SERB), Govt. of India. January, 2019.
  • Received Best Researcher of the Year 2018 International award Idamas Learning Center, Malaysia. Under the agies of “Research Under Literal Access” August, 15 2018.
  • Elected to the grade of Senior Member, IEEE United States of America. February, 16 2019.
  • Received “Outstanding Scientist in Computer Science 2018” International award Venus International Foundation, India F. No. AAP-V/2018/O-ENNC2344, August, 11 2018.
  • Received Early Career Research award for the project Precision Agriculture Model to Increase Crop Productivity in India using Big Data from Science and Engineering Research Board (SERB), Govt. of India. Grant Number: ECR/2017/001273, June 2017.
  • Received best paper award for the paper IDPC-XML: Integrated Data Provenance Capture in XML at International conference on Latest Advances in Machine Learning and DAta Science (LAMDA -2017), National Institute of Technology, Goa.
  • Received best paper award for the paper Accelerating Airline Delay Prediction based P-CUDA Computing Environment at International conference on Latest Advances in Machine Learning and DAtaScience (LAMDA -2017), National Institute of Technology, Goa.
  • Received best paper award for the paper An Integrated Query Processing Approach for Transaction Protocols in Heterogeneous Distributed Database Environment from Interscience Research Network (IRNet), Bhubaneswar (INDIA), November 2011.

Publications

Books Published

Book Chapters/Books: [Accepted/Published]
  1. Vamshikrishna, A., Ramesh, D., Mishra, R., & Mohammad, N. (2024). Sustainable Healthcare 5.0: Integration of IoT and Blockchain Technology with Federated Learning Model for Securing Healthcare Data. In Artificial Intelligence of Things for Achieving Sustainable Development Goals (pp. 161-180). Cham: Springer Nature Switzerland. DOI: https://doi.org/10.1007/978-3-031-53433-1_9.
  2. Amrita Naik, Damodar Reddy E, Chiranjeev Kumar, and Dharavath Ramesh. Deep Learning for Lung Nodule classification, Multi-Spectrum Publications, November 2023, India, ISBN: 978-81-19419-6-1.
  3. Ramesh, D., & Trivedi, M. C. (2022). MySQL Collaboration by Approving and Tracking Updates with Dependencies: A Versioning Approach. Book: Computational Science and Its Applications, LNCS, (pp. 380-395). Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-10548-7_28.
  4. Jayaramu, H. K., Ramesh D., & Sonal Jain. (2022). E-SMO based Plant Leaf Disease Identification: A Machine Learning Approach. Book: Computer Vision and Machine Learning in Agriculture Vol. 2. In the book series Algorithms for Intelligent Systems (AIS), Springer Nature. DOI: https://doi.org/10.1007/978-981-16-9991-7_10.
  5. Naik A., Edla D.R., Dharavath R. (2022) A Deep Feature Concatenation Approach for Lung Nodule Classification. In: Misra R., Shyamasundar R.K., Chaturvedi A., Omer R. (eds) Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021). ICMLBDA 2021. Lecture Notes in Networks and Systems, vol. 256. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-82469-3_19.
  6. Sneha Sarkar., Ramesh, D., & Hemika J., B. (2022). Ethereum MongoDB: Integrating Blockchain with Non-Relational Databases. In: Chaki, N., Devarakonda, N., Cortesi, A., Seetha, H. (eds) Proceedings of International Conference on Computational Intelligence and Data Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 99. Springer, Singapore. https://doi.org/10.1007/978-981-16-7182-1_2
  7. Rizvi N., Ramesh D. (2021) DRP-DBAS: Dynamic Resource Provisioning for Deadline and Budget Aware Workflow Scheduling in IaaS Clouds. In: Venugopal K.R., Shenoy P.D., Buyya R., Patnaik L.M., Iyengar S.S. (eds) Data Science and Computational Intelligence. ICInPro 2021. Communications in Computer and Information Science, vol 1483. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-91244-4_13.
  8. Ramesh D., Sethi K.K., Rathore A. (2021) Positive Correlation Based Efficient High Utility Pattern Mining Approach. In: Venugopal K.R., Shenoy P.D., Buyya R., Patnaik L.M., Iyengar S.S. (eds) Data Science and Computational Intelligence. ICInPro 2021. Communications in Computer and Information Science, vol. 1483. Springer, Cham. DOI:https://doi.org/10.1007/978-3-030-91244-4_22.
  9. Rao, G. M., & Ramesh, D. (2021). A Hybrid and Improved Isolation Forest Algorithm for Anomaly Detection. In Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (pp. 589-598). Springer, Singapore. DOI: https://doi.org/10.1007/978-981-15-7234-0_55.
  10. Rao, G. M., & Ramesh, D. (2021). Ranger Random Forest-Based Efficient Ensemble Learning Approach for Detecting Malicious URLs. In Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (pp. 599-608). Springer, Singapore. DOI: https://doi.org/10.1007/978-981-15-7234-0_56.
  11. Sethi, K. K., & Ramesh, D. (2021). Correlated High Average-Utility Itemset Mining. Evolution in Computational Intelligence (pp. 485-497). Springer, Singapore. DOI: https://doi.org/10.1007/978-981-15-5788-0_47.
  12. Santosh T., Ramesh D. (2020) DENCLUE-DE: Differential Evolution Based DENCLUE for Scalable Clustering in Big Data Analysis. In: Computer Networks and Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, Vol. 44. Pp. 436-445. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-37051-0_50.
  13. Rizvi N., Ramesh D. (2020) Design of a Scheduling Approach for Budget-Deadline Constrained Applications in Heterogeneous Clouds. In: Distributed Computing and Internet Technology. Lecture Notes in Computer Science, vol. 11969. Pp.198-213. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-36987-3_12.
  14. Dharavath R., Madhukar Rao G., Khurana H., Edla D.R. (2020) t-SNE Manifold Learning Based Visualization: A Human Activity Recognition Approach. In: Advances in Data Science and Management. Lecture Notes on Data Engineering and Communications Technologies, vol 37. Pp. 33-43. Springer, Singapore. DOI: https://doi.org/10.1007/978-981-15-0978-0_3.
  15. Dharavath R., Kumar A., Dharavath V. K. (2020) Capturing Anomalies of Cassandra Performance with Increase in Data Volume: A NoSQL Analytical Approach. In: Advances in Data Science and Management. Lecture Notes on Data Engineering and Communications Technologies, vol 37. Pp.3-20. Springer, Singapore. DOI: https://doi.org/10.1007/978-981-15-0978-0_1.
  16. Mishra R., Ramesh D. Sah M.K. (2020) Binary Binominal Tree Based Secure and Efficient Electronic Healthcare Record Storage in Cloud Environment. In: Rautaray, S., Eichler, G., Erfurth, C., Fahrnberger, G. (eds) Innovations for Community Services. I4CS 2020. Communications in Computer and Information Science, vol 1139. Springer, Cham. https://doi.org/10.1007/978-3-030-37484-6_10
  17. Naik D., Gorojanam N.B., Ramesh D. (2020) Community Based Emotional Behaviour Using Ekman’s Emotional Scale. In: Rautaray S., Eichler G., Erfurth C., Fahrnberger G. (eds) Innovations for Community Services. I4CS 2020. Communications in Computer and Information Science, vol. 1139. Pp.63-82. Springer, Cham.  DOI: https://doi.org/10.1007/978-3-030-37484-6_4.
  18. Ramesh D., Pasupuleti S.K. (2020) A Novel AckIBE-Based Secure Cloud Data Management Framework. In: Handbook of Computer Networks and Cyber Security. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-22277-2_4.
  19. Rao, G. M., Ramesh, D., & Kumar, A. (2020). RRF-BD: Ranger Random Forest Algorithm for Big Data Classification. In Computational Intelligence in Data Mining, Vol 990, pp. 15-25. Springer, Singapore. DOI: 10.1007/978-981-13-8676-3_2.
  20. Ramesh Dharavath, Rahul Mishra, Damodar Reddy Edla and Madhu Sake (2019). Secure Identity-Based Proxy Signature With Computational Diffie-Hellman for Cloud Data Management. Modern Principles, Practices, and Algorithms for Cloud Security. IGI-Global. Ch-4, PP.79-106. DOI: 10.4018/978-1-7998-1082-7.ch004.
  21. Rashmi Priya., & Ramesh, D. (2018, December). Adaboost.RT Based Soil N-P-K Prediction Model for Soil and Crop Specific Data: A Predictive Modelling Approach. In 6th International Conference on Big Data Analytics (pp. 322-331). Springer (LNCS), Singapore. DOI: 10.1007/978-3-030-04780-1_22.
  22. Ramesh, D., Mishra, R., & Pandit, A. K. (2018, April). An Efficient Stream Cipher Based Secure and Dynamic Updation Method for Cloud Data Centre. In International Conference on Soft Computing Systems (pp. 505-516). Springer, Singapore. DOI: 10.1007/978-981-13-1936-5_53.
  23. Santosh, T., & Ramesh, D. (2017, October). Spark Based ANFIS Approach for Anomaly Detection Using Big Data. In International Conference on Next Generation Computing Technologies (pp. 450-458). Springer, Singapore. Smart and Innovative Trends in Next Generation Computing Technologies, Springer. DOI: 10.1007/978-981-10-8660-1_34.
  24. Thakur, S., & Dharavath, R. (2018). KMDT: A Hybrid Cluster Approach for Anomaly Detection Using Big Data. In Information and Decision Sciences (pp. 169-176). Springer, Singapore. Advances in Intelligent Systems and Computing, Vol. 701. DOI: https://doi.org/10.1007/978-981-10-7563-6_18.
  25. Ramesh, D., Biswas, H., & Vallamdas, V. K. (2018). IDPC-XML: Integrated Data Provenance Capture in XML. In Advances in Machine Learning and Data Science (pp. 21-32). Springer, Singapore. DOI: 10.1007/978-981-10-8569-7_3.
  26. Ramesh, D., Patidar, N., Vunnam, T., & Kumar, G. (2018). Accelerating Airline Delay Prediction-Based P-CUDA Computing Environment. In Advances in Machine Learning and Data Science (pp. 9-20). Springer, Singapore. DOI: 10.1007/978-981-10-8569-7_2.
  27. Cheruku, R., Edla, D. R., Kuppili, V., & Dharavath, R. (2017, September). PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data. In International Conference on Artificial Neural Networks (pp. 411-419). Springer, Cham. Lecture Notes in Computer Science book series (LNCS, volume 10614). DOI: https://doi.org/10.1007/978-3-319-68612-7_47.
  28. Dharavath, R., & Raj, S. (2017). Quantitative Analysis of Frequent Itemsets Using Apriori Algorithm on Apache Spark Framework. In Computational Intelligence in Data Mining (pp. 261-272). Springer, Singapore.  DOI: 10.1007/978-981-10-3874-7_25.
  29. Sethi K.K., Dharavath R., Nyakotey S. (2018) PPS: Parallel Pincer Search for Mining Frequent Itemsets Based on Spark. In: Advances in Intelligent Systems and Computing, vol 614. Springer, Cham. doi.org/10.1007/978-3-319-60618-7_35.
  30. Sethi, K. K., & Ramesh, D. (2016). Delay Scheduling with Reduced Workload on JobTracker in Hadoop. In Innovations in Bio-Inspired Computing and Applications, Volume 424 of Advances in Intelligent Systems and computing (pp.371-381). Springer International Publishing. DOI: 10.1007/978-3-319-28031-8_32.
  31. Dharavath, R., & Singh, A. K. (2016). Entity Resolution-Based Jaccard Similarity Coefficient for Heterogeneous Distributed Databases. In Advances in Intelligent Systems and Computing, Volume, 379, ISSN: 2194-5357, (pp. 497-507). Springer India. DOI: 10.1007/978-81-322-2517-1_48.
  32. Ramesh, D., Gupta, H., Singh, K., & Kumar, C. (2015). Hash Based Incremental Optimistic Concurrency Control Algorithm in Distributed Databases. In Intelligent Distributed Computing Volume 321 of the series Advances in Intelligent Systems and computing pp 139-150. Springer International Publishing, Switzerland. DOI: 10.1007/978-3-319-11227-5 13.
  33. Dharavath R., Kumar, V., Kumar, C., & Kumar, A. (2014). An Apriori-Based Vertical Fragmentation Technique for Heterogeneous Distributed Database Transactions. In Intelligent Computing, Networking, and Informatics (pp. 687-695). Springer. DOI: 10.1007/978-81-322-1665-0 69.
  34. Dharavath, R., Jain, A. K., Kumar, C., & Kumar, V. (2014). Accuracy of Atomic Transaction Scenario for Heterogeneous Distributed Column-Oriented Databases. In Intelligent Computing, Networking, and Informatics (pp. 491-501). Springer. DOI: 10.1007/978-81-322-1665-0 47.
  35. Dharavath Ramesh, Chiranjeev Kumar, Amit Kumar Jain, Atomicity and Snapshot Isolation on Column Oriented Databases: a Transaction Approach, published by LAP Lambert Academic Publishing, 2013, Germany, ISBN: 978-3-659-37511-8, pp.1-50.
  36. Chiranjeev Kumar, Haider Banka & Dharavath Ramesh “Recent Advances in Information Technology,” (Proceedings of the 3rd IEEE International Conference RAIT-2016, March 03-05, 2016, Vol. I & II, IIT(ISM), Dhanbad, India), 2016, ISBN: 978-1-4799-8578-4.

List Of Research Publications (only in Peer-reviewed Journals)

International Journals: [Accepted/Published]
  1. Dharavath Ramesh., Sai. K., Debadatta. N., & Ramarao. N.  (2025). Harnessing HGWO-MultiQoS: A Hybrid Grey Wolf Optimization Approach for QoS-Constrained Workflow Scheduling in IaaS Clouds. Journal of Simulation Modelling Practice and Theory. Vol. 142, 103127. Elsevier, IF: 3.500. 
  2. Sreekant S., Ramahcandran M., & Dharavath Ramesh. (2025). Harnessing Digital Twins and Industrial-IoT for Cutting-Edge Mining Automation: A Methodological and Technology Assessment Prototype. Journal of Computers & Industrial Engineering. Vol. 201, 110871.  Elsevier, IF: 6.700.
  3. Shashi Raj., Dharavath Ramesh., & Prabhakar G. (2025). CrossFIM: A Spark-based hybrid frequent itemset mining algorithm for large datasets. Cluster Computing. Vol. 28(4), 231. Springer, IF: 3.600.
  4. Gabrijel et al. and Dharavath Ramesh. (2025). Metal contamination – a global environmental issue: sources, implications & advances in mitigation. Journal of Royal Society of Chemistry. Vol. 15, pages 3904-3927, RSC Advances. IF: 3.900. 
  5. Ramesh. D., Naela. R., Srinivasa Rao P. C., Sundararajan. E., Koushik. M., Srivastava. G., & L. Qi. (2024). Improved Chemical Reaction Optimization with Fitness based Quasi-reflection Method for Scheduling in Hybrid Cloud-Fog Environment. IEEE Transactions on Network and Service Management. Vol. 21, Issue 1. IEEE. IF: 4.700.             
  6. Xiao Liu, Shunmei Meng, Qianmu Li, Qiyan Liu, Qiang He., Dharavath Ramesh., & Lianyong Qi. (2024). FDGNN: Feature-aware Disentangled Graph Neural Network for Recommendation. IEEE Transactions on Computational Social Systems. Vol. 11, Issue 1. IEEE. IF: 4.500.  
  7. Che Le et al., and Dharavath Ramesh (2024). Digital Twins for Real-Time Monitoring and Operation of Coffee Value Chain and Supply Chain. Journal of Mechatronics and Applied Mechanics - IJOMAM. Hidraulica, Romania, IF: 9.24. 
  8. Rahul Mishra., Dharavath Ramesh., Nazeeruddin Mohammad., & Bhaskar M. (2024). Blockchain Enabled Secure Pharmaceutical Supply Chain Framework with Traceability: An Efficient Searchable PharmaChain Approach. Journal of Cluster Computing. Springer Nature, IF: 3.600. 
  9. Jain. S., Ramesh, D., Edla, D. R., Santosha, R., & Gabrijel Ondrasek. (2024). A Fast high throughput plant phenotyping system using YOLO and Chan-Vese segmentation. Soft Computing, Springer. IF: 3.1. 
  10. Rao, G. M., Ramesh, D., Sharma, V., Sinha, A., Hassan, M. M., & Gandomi, A. H. (2024). AttGRU-HMSI: enhancing heart disease diagnosis using hybrid deep learning approach. Scientific Reports, Vol. 14(1), 7833. Nature Research.  IF: 3.8.                                                       
  11. P. P. Dalvi., Edla, D. R., B. R. Purushothama., & Ramesh D. (2024). COVID-19 detection from Chest –X-ray images using a Novel Lightweight Hybrid CNN Architecture. Multimedia Tools and Applications, Springer 1-22. IF: 3.00.
  12. Edla, D. R., Bablani, A., Bhattacharyya, S., Dharavath, R., Cheruku, R., & Boddu, V. (2024). Spatial spiking neural network for classification of EEG signals for concealed information test. Multimedia Tools and Applications, Springer 1-22. IF: 3.0.
  13. R. Mishra., Ramesh. D., Paolo. B., & D. R. Edla. (2023). Redactable Blockchain-Assisted Secure Data Aggregation Scheme for Fog-enabled Internet-of-Farming-Things. IEEE Transactions on Network and Service Management. Vol. 20, Issue 4.   IEEE. IF: 4.700.
  14. R. Mishra., Ramesh. D., Salil. S. K., & D. R. Edla. (2022). Enabling Efficient Deduplication and Secure Decentralized Public Auditing for Cloud Storage: A Redactable Blockchain Approach. ACM Transactions on Management Information Systems. Vol. 14, Issue 3. ACM, IF: 2.500. 
  15. Pankaj P., Rashmi P. S., Sachin. T., C. Kumar., & Dharavath Ramesh. (2022). NSGA-III Based Heterogeneous Transmission Range selection for Node Deployment in IEEE 802.15.4 Infrastructure for Sugarcane and Rice Crop Monitoring in a Humid Sub-Tropical Region. IEEE Transactions on Wireless Communications. Vol. 22, Issue 6.  IEEE, IF: 8.900.
  16. Yuwen Liu., Huiping Wu., Khosro Rezaee., Mohammad R. Khosravi., Osama Khalaf., Arif Ali Khan., Dharavath Ramesh & Lianyong Qi. (2022). Interaction-enhanced and Time-aware Graph Convolutional Network for Successive Point-of-Interest Recommendation in Travelling Enterprises. IEEE Transactions on Industrial Informatics. Vol. 19, Issue 1. IEEE. IF: 11.700. 
  17. Naela Rizvi., Dharavath Ramesh., Lipo Wang., & Annappa, B. (2022). A Workflow Scheduling Approach with Modified Fuzzy Adaptive Genetic Algorithm in IaaS clouds. IEEE Transactions on Services Computing. Vol. 16, Issue 2.   IEEE. IF: 5.500.
  18. Naela Rizvi., Dharavath Ramesh., Srinivasa Rao P. C., & Koushik Mondal. (2022). Intelligent salp swarm scheduler with fitness based quasi-reflection method for scientific workflows in hybrid cloud-fog environment. IEEE Transactions on Automation Science and Engineering. Vol. 20, Issue 2. Page(s): 862 – 877. IEEE. IF: 5.900. 
  19. Pankaj P., Rashmi P. S., Sachin. T., C. Kumar., & Dharavath Ramesh. (2022). Machine Learning Regression for RF Path Loss Estimation Over Grass Vegetation in IoWSN Monitoring Infrastructure. IEEE Transactions on Industrial Informatics. Vol. 26, Issue 10.  IEEE. IF: 11.700. 
  20. Annushree B., Damodar R., E., V., Kuppili., & Ramesh., D. (2021). Lie detection using fuzzy ensemble approach with novel defuzzification method for classification of EEG signals. IEEE Transactions on Instrumentation and Measurement. Vol. 70, Pp. 1-13. IEEE, IF: 5.600.   
  21. Rashmi Priya., Dharavath Ramesh & Venkanna U. (2021). NSGA-2 Optimized Fuzzy Inference System for Crop Plantation Correctness Index Identification. IEEE Transactions on Sustainable Computing, Vol. 07, Issue 1, Pp. 172-188. IEEE Comp. Society, IEEE. IF: 3.000.  
  22. Amruta L., Damodar Reddy E., & Dharavath Ramesh. (2021). Fuzzy Rule Generation using Modified PSO for Clustering in Wireless Sensor Networks. IEEE Transactions on Green Communications and Networking, Vol. 5(2), Pp. 846-857. IEEE. IF: 5.300. 
  23. Rahul Mishra., Dharavath Ramesh., D. Reddy E., & Lianyong Qi. (2023). VaccineChain: A Check-point Assisted Scalable Blockchain based Secure Vaccine Supply Chain with Selective Revocation. Journal of Industrial Information Integration. Vol. 34,100485.  Elsevier. IF: 10.400.  
  24. Gabrijel Ondrasek., Jelena Horvatinec., and Dharavath Ramesh et al. (2023). Land Resources in Organic Agriculture: Trends & Challenges in the 21st Millennium from Global to Croatian Context. Journal of Agronomy. Vol.30 (6), 1544. MDPI. IF: 3.949.  
  25. Debadatta Naik, Dharavath Ramesh., & Lianyong Qi. (2023). Quantum-PSO based Unsupervised clustering of Users in Social Networks using Attributes.  Journal of Cluster Computing. Springer Nature, IF: 3.600. (https://doi.org/10.1007/s10586-023-03993-0). 
  26. Sonal Jain, Dharavath Ramesh., Munesh C. T., & D. R. Edla. (2023). Evaluation of Meta-heuristic Optimization Algorithms for Optimal Allocation of Surface Water and Groundwater Resources for Crop Production. Vol. 279, 108181.  Agriculture Water Management Journal. Elsevier, IF: 6.70.  
  27. Dharavath Ramesh., Rahul Mishra., Pradeep K. Atrey., D. R. Edla, Sanjay Misra., & Lianyong Qi. (2023). Blockchain based Efficient Tamper-Proof EHR Storage for Decentralized Cloud-assisted Storage. Vol. 68, Pp. 205-226. Alexandria Engineering Journal. Elsevier, IF: 6.200.                                                       
  28. Rashmi P. S., Dharavath Ramesh., & Damodar Reddy. E. (2022). IoFT-FIS: Internet of farm things based prediction for crop pest infestation using optimized fuzzy inference system. Internet of Things. Vol. 26,100658. Elsevier. IF: 6.000.
  29. Debadatta Naik., Dharavath Ramesh., & Naveen B. G. (2022). Enhanced Link Prediction using Sentiment Attribute and Community Detection. Ambient Intelligence and Humanized Computing. Vol. 14, Pp. 4157–4174. Springer, IF: 3.662.
  30. Shashi Raj., & Dharavath Ramesh. (2022). PartEclat: An improved Eclat-based frequent itemset mining algorithm on Spark clusters using partition technique. Journal of Cluster Computing. Vol. 25, Pp. 4463-4480.   Springer Nature, IF: 3.600.
  31. R. Mishra., Dharavath Ramesh., D. R. Edla., & Lianyong Qi. (2021). DS-Chain: A Secure and Auditable Multi-Cloud Assisted EHR Storage Model on Efficient Deletable Blockchain. Journal of Industrial Information Integration. Vol. 26,100315. Elsevier, IF: 10.400. 
  32. R. Mishra., Dharavath Ramesh., D. R. Edla., & Nazeeruddin Mohd. (2022). Fibonacci Tree Structure based Privacy Preserving Public Auditing for IoT Enabled Data in Cloud Environment. Computers and Electrical Engineering. Vol. 100, 107890. Elsevier, IF: 4.000.
  33. Santosh T., Dharavath Ramesh., Achyut S, Prabhishek Singh, Manoj D, & Md. R. Khosravi. (2022). RST-DE: Rough sets-based new differential evolution algorithm for scalable big data feature selection in distributed computing platforms. Big Data, Volume 10. Issue 4. Marry Ann Libert, IF: 2.600.
  34. R. Mishra., Dharavath Ramesh., D. R. Edla., & Munesh Chandra.T. (2021). Blockchain assisted privacy-preserving public auditable model for cloud environment with efficient user revocation. Journal of Cluster Computing. Volume 25, Pp. 3103–3127. Springer, IF: 3.600.  
  35. Debadatta Naik., Dharavath Ramesh., Amir H. Gandomi., & Naveen B G. (2021). Parallel and Distributed Paradigms for Community Detection in Social Networks: A Methodological Review. Expert Systems with Applications. Vol. 187,115956. Elsevier, IF: 7.500. 
  36. Sonal Jain and Dharavath Ramesh. (2021). Memetic salp swarm optimization algorithm based feature selection approach for crop disease detection system. Journal of Ambient Intelligence and Humanized Computing, Springer, IF: 3.600. 
  37. Rashmi P. S., Dharavath Ramesh., Pankaj P., Sachin. T., & C. Kumar. (2021). IoT enabled IEEE 802.15.4 WSN monitoring infrastructure driven Fuzzy-logic based Crop pest prediction. IEEE Internet of Things Journal. Volume 9(4), Pp.3037-3045. IEEE. IF: 8.200.
  38. Ramesh, D., Rahul., & Munesh C.T. (2021). PCS-ABE (t,n):A Secure Threshold Multi Authority CP-ABE Scheme based Efficient Access Control Systems for Cloud Environment. Ambient Intelligence and Humanized Computing. Vol. 12(10), 9303-9322. Springer, IF: 3.600.   
  39. Sonal J., D., Ramesh., & Diptendu B. (2021). A multi-objective algorithm for crop pattern optimization in agriculture. Applied Soft Computing, Vol. 112, 107772. Elsevier, IF: 7.200. 
  40. Pankaj P., Rashmi P. S., Sachin. T., C. Kumar., & Dharavath Ramesh. (2021). 2.4 GHz RF Received Signal Strength Based Node Deployment for WSN Monitoring Infrastructure in Millet and Rice vegetation. IEEE Sensors Journal, Vol. 21(16), Pp. 18298-18306. IEEE. IF: 4.325. 
  41. Krishan Kr. Sethi., Dharavath Ramesh., & M.C.Trivedi. (2021). A Spark-based High Utility Itemset Mining with Multiple External Utilities. Cluster Computing. Vol. 21(2). Springer, IF: 3.600. 
  42. Amruta L., Damodar Reddy E., & Dharavath Ramesh. (2021). Prediction of malignancy in lung nodules using combination of Deep, Fractal and GLCM Features. Vol. 9(6), Pp. 480-498. Big Data, Marry Ann Libert, Inc. Publishers, IF: 2.600.
  43. Madhukar Rao G. & Dharavath Ramesh. (2021). DSSAE-BBOA: Deep learning-based weather big data analysis and visualization. Multimedia Tools and Applications, Vol. 80, pages 27471–27493. Springer, IF: 3.000.
  44. Pankaj P., Rashmi P. S., Sachin. T., C. Kumar., & Dharavath Ramesh. (2021). Genetic Algorithm Optimized Node Deployment in IEEE 802.15.4 Potato and Wheat Crop Monitoring Infrastructure. Scientific Reports, Vol. 11(1), 1-12. Nature Research, IF: 3.80.
  45. Naela R., Dharavath Ramesh & D. R. Edla (2021). Cost and makespan aware workflow scheduling in IaaS clouds using hybrid spider monkey optimization. Simulation Modelling Practice and Theory, Vol. 110, 102328. Elsevier, IF: 3.500.
  46. Amruta L., D Reddy E., & D. Ramesh. (2021). Energy Efficient Fuzzy Clustering and Routing using BAT algorithm. Wireless Networks, Vol. 27(4), 2813-2828. Springer, IF: 2.10.
  47. Rahul Mishra., Dharavath Ramesh., & Damodar R. Edla. (2020). BB-Tree based secure and dynamic public auditing convergence for cloud storage. Journal of Supercomputing, Vol. 77(5), 4917-4956. Springer, IF: 2.500. 
  48. Rahul Mishra., Dharavath Ramesh., & Damodar R. Edla. (2020). Dynamic Large Branching Hash Tree based Secure and Efficient Dynamic Auditing Protocol for Cloud Environment. Journal of Cluster Computing, Vol. 24(2), 1361-1379. Springer, IF: 3.600.
  49. Krishan Kr. Sethi., & Dharavath Ramesh. (2020). High average-utility itemset mining with multiple minimum utility threshold: A generalized approach. Engineering Applications of Artificial Intelligence, Vol. 96, 103933. Elsevier. IF: 7.500.
  50. Rashmi P., & Ramesh D. (2020). ML based sustainable precision agriculture: a future generation perspective. Sustainable Computing: Informatics and Systems, Vol. 28,100439. Elsevier. IF: 3.800.
  51. Diwakar, T., Edla, D. R., Kuppili, V., & Dharavath Ramesh. (2020). Binary BAT Algorithm and RBFN based Hybrid Credit Scoring Model. Multimedia Tools and Applications, Vol. 79, 31889–31912. Springer.  IF: 3.000.
  52. Naela R., & Ramesh D. (2020). HBDCWS: Heuristic based budget and deadline constrained workflow scheduling approach for heterogeneous clouds. Soft Computing, Vol. 24, 18971–18990. Springer.  IF: 3.100.
  53. Santosh T., Ramesh D., & Damodar Reddy Edla.

    Papers in conference abstract volumes / presented

    Peer Reviewed Conferences: [Published/Accepted]
    1. Ramesh, D., Santosh, T., Munesh C. Trivedi., & Chi Hieu Li. (2025). Ensuring Digital Sovereignty in Cross-chain EHR Sharing: A Relay-as-a-Service Approach for Secure Healthcare Interoperability. In 2025 International Conference on Digital Sovereignty (ICDS), Oslo Science Park, Gaustadalléen 21, 0349 Oslo, Norway by Elsevier Procedia Computer Science, Elsevier. https://doi.org/10.1016/j.procs.2025.02.063
    2. Manojit Dinda, Dharavath Ramesh, and Chi Hieu Li. (2025). Redactable Blockchain-based EHR Enhancement Utilising Extended Chameleon Hashing and Additional Trapdoor Functionality. In 5th Int. Conference on Data Analytics and Management (ICDAM-2024), June 14-15, London Metropolitan University, London, United Kingdom by Springer Proceedings. [Accepted & In Press]
    3. Kolla, S. S., Ramesh, D., Santosh, T., & Narvaneni, R. (2024, June). Hybrid Grey Wolf Algorithmic Approach for Optimizing Workflow Scheduling with Budget and Deadline Constraints in IaaS Clouds. In 2024 15th  Int. Conference on Computing Communication and Networking Technologies (ICCCNT), IIT Mandi, India. (pp. 1-10). IEEE. DOI: 10.1109/ICCCNT61001.2024.10724578.
    4. Srikanth. B., and Dharavath Ramesh., and Debadatta Naik. (2024). ML-based Roof Convergence Safety in Underground Coal Mines: An Ideological Approach. In Int. Conference on Communication Safe, Smart and Sustainable Mining (3SM-2023). Springer.
    5. Shashi Raj and Dharavath Ramesh. (2022). Applying partition method to adopt Spark-based Eclat algorithm for large transactional datasets. In 4th Int. Conference on Communication and Computational Technologies (ICCCT-2022). Springer. (https://doi.org/10.1007/978-981-19-3951-8_11).
    6. Dharavath Ramesh., & Munesh C. Trivedi. (2022). MySQL Collaboration by Approving and Tracking Updates with Dependencies: A Versioning Approach. In 22nd International Conference on Computational Science and Its Applications (ICCSA-2022) in collaboration with the University of Malaga, Spain. (pp. 380-395). Springer, Cham [CORE 2022 A* conference]. LNCS Springer. (https://doi.org/10.1007/978-3-031-10548-7_28).
    7. Rahul Mishra., Dharavath Ramesh., & Nazeeruddin Mohd. (2022). RBDA: Redactable Blockchain based Secure Data Aggregation Scheme for IoT Enabled Cloud Paradigm. In 20th International Conference on Pervasive Computing and Communications (PerCom 2022), (pp. 409-414). Pisa, Italy. [CORE 2022 A* conference]. IEEE. DOI: 10.1109/PerComWorkshops53856.2022.9767416.
    8. T. Gupta., Dharavath Ramesh., & Rahul Mishra. (2022). Gene Determination Algorithm: A Blockchain-based Case Study of Crypto Kitties. In 7th International Conference for Convergence in Technology (I2CT 2022). Pp. 1-4. IEEE Proceedings. DOI: 10.1109/I2CT54291.2022.9825042.
    9. Madhukar Rao G and Dharavath Ramesh. (2022). A novel approach for visualizing medical big data using variational autoencoders. In 3rd International Conference on Data Science, Machine Learning & Applications (ICDSMLA-2021). Springer Proceedings. (Accepted & In Press).
    10. S. Jain and D. Ramesh (2021). AI based hybrid CNN-LSTM model for crop disease prediction: An ML advent for rice crop. 12th Int. Conference on Computing Communication and Networking Technologies (ICCCNT), 2021, pp. 1-7. DOI: 10.1109/ICCCNT51525.2021.9579587.
    11. Sonal Jain & Ramesh, D. (2021). Machine learning convergence for weather based crop selection. In 2nd IEEE International Conference on Electrical, Electronics and Computer Sciences (SEEECS 2020). IEEE. DOI: 10.1109/SCEECS48394.2020.75.
    12. Rahul Mishra., Ramesh, D., & Damodar Reddy E (2020). Deletable Blockchain Based Secure EHR Storage Scheme in Multi-Cloud Environment. In 22nd IEEE International Conference on High Performance Computing and Communications (HPCC 2020). IEEE. DOI: 10.1109/HPCC-SmartCity-DSS50907.2020.00142.
    13. Ramesh, D. & Ekansh, K. (2020). Seasonal ARIMA to forecast fruits and vegetable agricultural prices. In 5th IEEE International Symposium on Smart Electronic Systems (iSES). Pp. 47-92. IEEE. DOI: 10.1109/iSES47678.2019.00023.
    14. Ramesh, D. Anand. K., and Ashu, K. (2020). Seasonal Similarity-aware EQUALS and IN operator in Cassandra and its application in Agriculture. In 5th IEEE International Symposium on Smart Electronic Systems (iSES). Pp. 34-40. IEEE. DOI: 10.1109/iSES47678.2019.00021.
    15. K K Sethi, Dharavath Ramesh, Aman Rathore and Shantanu Sarin. (2019). HUIM-SMP: High utility itemset mining based stock market analogy*. 10th International Conference on Computing, communications and Network Technologies (ICCCNT-2019). IEEE. DOI: 10.1109/ICCCNT45670.2019.8944752.
    16. Rashmi Priya, Ramesh, D., & Ekaansh Khosla. (2018). Crop Prediction on the Region Belts of India: A Naïve Bayes MapReduce Precision Agricultural Model. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 99-104). IEEE Conference Proceedings. DOI: 10.1109/ICACCI.2018.8554653.
    17. Rishabh T., & Ramesh, D. (2018). Ensemble Similarity based Collaborative Filtering Feedback: A Recommender System Scenario. In 2018 Int. Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 2398-2402). IEEE. DOI: 10.1109/ICACCI.2018.8554653.
    18. Ramesh, D., & Kumar, A. (2018, March). Query Driven implementation of Twitter base using Cassandra. In 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT). IEEE.  DOI: 10.1109/ICCTCT.2018.8551136.
    19. Ramesh, D., & Kumari, K. (2018, March). DEBC-GM: Denclue Based Gaussian Mixture Approach for Big Data Clustering. In 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) (pp. 1-8). IEEE. DOI: 10.1109/ICCTCT.2018.8550895.
    20. Ramesh, D., & Dey, S. (2018, March). SCLBA-CC: Slot Based Carton Load Balancing Approach for Cloud Environment. In 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) (pp. 1-5). IEEE. DOI: 10.1109/ICCTCT.2018.8550841.
    21. Sethi, K. K., Ramesh, D., & Edla, D. R. (2018). P-FHM+: Parallel high utility itemset mining algorithm for big data processing. Procedia Computer Science, 132, pp. 918-927, Elsevier. DOI:  10.1016/j.procs.2018.05.107.
    22. Khosla, E., & Ramesh, D. (2018, March). Phase classification of chronic myeloid leukemia using convolution neural networks. In 2018 4th International Conference on Recent Advances in Information Technology (RAIT) (pp. 1-6). IEEE. DOI: 10.1109/RAIT.2018.8389068.
    23. Chak, P., Behera, R. K., Naik, D., Rath, S. K., & Ramesh, D. (2018, March). Content matching problem in large scale network using weighted b-matching algorithm. In 2018 4th Int. Conference on Recent Advances in Information Technology (RAIT) (pp. 1-6). IEEE. DOI: 10.1109/RAIT.2018.8389077.
    24. Diwakar Tripathi, D., Edla, D. R., Kuppili, V., Bablani, A., & Dharavath, R. (2018). Credit Scoring Model based on Weighted Voting and Cluster based Feature Selection. Procedia Computer Science, 132, pp. 22-31, Elsevier. DOI: 10.1016/j.procs.2018.05.055.
    25. Khosla, E., Ramesh, D., Sharma, R. P., & Nyakotey, S. (2018). RNNs-RT: Flood based Prediction of Human and Animal deaths in Bihar using Recurrent Neural Networks and Regression Techniques. Procedia Computer Science, 132, 486-497, Elsevier. DOI:  10.1016/j.procs.2018.05.001.
    26. Ramesh, D., Khosla, E., & Bhukya, S. N. (2016, December). Inclusion of e-commerce workflow with NoSQL DBMS: MongoDB document store. In Computational Intelligence and Computing Research (ICCIC), 2016 IEEE International Conference (pp. 1-5). IEEE. DOI: 10.1109/ICCIC.2016.7919652.
    27. Ramesh, D., Patidar, N., Kumar, G., & Vunnam, T. (2016, April). Evolution and analysis of distributed file systems in cloud storage: Analytical survey. In Computing, Communication and Automation (ICCCA), 2016 Int. Conference on (pp. 753-758). IEEE. DOI: 10.1109/CCAA.2016.7813828.
    28. Ramesh, D., Mishra, R., & Nayak, B. S. (2016, March). Cha-Cha 20: Stream Cipher Based Encryption for Cloud Data Centre. In Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies (pp.1-6). ISBN: 978-1-4503-3962-9, DOI:10.1145/2905055.2905098, ACM.
    29. Ramesh, D., Sinha, A., & Singh, S. (2016, March). Data modelling for discrete-time series data using Cassandra and MongoDB. In Recent Advances in Information Technology (RAIT), 2016 3rd International Conference on (pp. 598-601). IEEE.  IEEE. DOI: 10.1109/RAIT.2016.7507966.
    30. Ramesh, D., & Priya, R. (2016, January). Multi-authority scheme based CP-ABE with attribute revocation for cloud data storage. In Microelectronics, Computing and Communications (MicroCom), 2016 International Conference on (pp. 1-4). IEEE. DOI: 10.1109/MicroCom.2016.7522518.
    31. Ramesh, D., Suraj, P., & Saini, L. (2016, January). Big data analytics in healthcare: A survey approach. In Microelectronics, Computing and Communications (MicroCom), 2016 International Conference on (pp. 1-6). IEEE.  DOI: 10.1109/MicroCom.2016.7522520.
    32. Domodar Reddy Edla, Dharavath Ramesh, Sridhar K (2016). Application of Neural Networks for Routing in Mobile Wireless Sensor Network: A Case Study. In National conference on Enhancing Information Technology Education (EITE) at National Institute of Technology, Goa. Published by TaTa Mc-Graw Hill.
    33. Ramesh, D., & Kumar, C. (2013, December). A Scalable Matching Approach Based Density Function for Heterogeneous Database Integration. In Advanced Computing, Networking and Security (ADCONS), 2013 2nd International Conference on (pp. 117-123). IEEE Computer Society. DOI:10.1109/ADCONS.2013.15.
    34. Dharavath Ramesh and Chiranjeev Kumar, An Entity Resolution Approach for Integrating Heterogeneous Distributed Probabilistic Data, published in the Proceedings of 2nd International Conference on Computing, Communication and Sensor Network(CCSN - 2013), held at Dharmatala, Kolkata, India, November 22-24, ISBN 81-85824- 46-0, Vol. 4, Issue 1, 2013 by International Association of Science, Technology and Management, pp 119-125.
    35. Ramesh, D., Jain, A., & Kumar, C. (2012, December). Implementation of atomicity and snapshot isolation for multi-row transactions on column-oriented distributed databases using rdbms. In Communications, devices and intelligent systems, 2012 International Conference (pp. 298-301). IEEE. DOI: 10.1109/CODIS.2012.6422197.
    36. Dharavath Ramesh & Chiranjeev Kumar, “An algorithmic model scenario for fragment allocation to handle transaction conflicts in Heterogeneous distributed databases,” Published in International Journal of Computer Applications (IJCA) Special Issue on International Conference on Computing, Communication and Sensor Networks (CCSN 2012), held at PIET, Rourkela - India, November 22-23, 2012, ISSN (0975-8887) CCSN2012 – Number 4, pp. 34-39.
    37. Dharavath Ramesh & Chiranjeev Kumar, An incremental protocol approach for secure collaboration between Byzantine processes in Heterogeneous distributed processing systems, Abstract published on 3rd World Conference on Information Technology (WCIT - 2012), held at University of Barcelona, Barcelona, Spain, November 14-16, 2012.
    38. Ramesh, D., Kumar, K. C., & Ramji, B. (2012, October). Design of a transaction recovery instance based on bi-directional ring election algorithm for a crashed coordinator in distributed database systems. In Information and Communication Technologies (WICT), 2012 World Congress on (pp. 721-726). IEEE Conference Proceedings. DOI: 10.1109/WICT.2012.6409169.
    39. Ramesh, D., & Kumar, C. (2012). An optimal novel Byzantine agreement protocol (ONBAP) for heterogeneous distributed database processing systems. Procedia Technology, 6, 57-66. Elsevier. DOI: 10.1016/j.protcy.2012.10.008.
    40. Ramesh Dharavath., S. Sri Harsha & R. Suresh, “Recovery of Heterogeneous  Aggregation transaction failures between Byzantine Processes Using Shared Memory Object Invocation,” Published in the Proceedings of 3rd International Conference on IT and Business Intelligence (ITBI-2011), held at Hyderabad (INDIA), November 25-27, 2011, ISBN 978-93-81583-11-1, pp. 352-357.
    41. Ramesh Dharavath “Does a Symmetric Protocol Suffice for Heterogeneous Commit,” Published in the Proceedings of 3rd International Conference on IT and Business Intelligence (ITBI-2011), held at Hyderabad (INDIA), November 25-27, 2011, ISBN 978-93-81583-11-1, pp. 346-351.
    42. Ramesh Dharavath, R. Saritha & V. Swetha Reddy, “An Integrated Query Processing Approach for Transaction Protocols in Heterogeneous Distributed Database Environment,” Published in the Proceedings of 2nd International Conference on Computer Science and Engineering (ICCSE–2011) held at Hyderabad by Interscience Research Network (IRNet), Bhubaneswar (INDIA), November 13-14, 2011, ISBN 978-93-81693-01-8, pp. 26-31.
    43. Ramesh Dharavath, V. Swetha Reddy, “P2P Secure Collaboration between Byzantine Processes in Heterogeneous Distributed – Processing Systems”, 2nd National Conference on Computing, Communication and Sensor Network (CCSN-2011) held at Purushotham Institute of Engineering and Technology, Rourkela (INDIA), October 29-30, 2011, pp. 1-6, ISBN 81-85824-46-0.
    44. Dharavath Ramesh, “Measuring the Performance of heterogeneous Distributed Mining Platform with Cache coherence problem in Symmetric Memory,” 2nd National Conference on “Data mining: Emerging Technologies held at Vignan’s Lara Institute of Institute of Science and Technology, Guntur, Andhra Pradesh, 16-17 December 2011, pp. 7-13.

    Patents

    Patents: [Granted/Filed]
    1. Apparatus for Image Capturing and Object Identification (Indian IP Granted). Design Number & Date: 436750-001 (8th November 2024).
    2. Portable Solar Heater (Indian IP Granted). Design Number & Date: 378678-001 (1st June 2023).
    3. Method and Device for Preparing Beverage. (Indian IP Granted). Patent Number & Date: 202231039594 A (29th July 2022).
    4. A system and a method for assessing mental ability of a user using an electroencephalogram. Patent Number & Date: 2021102774 (16th March 2022). (Australian IP Granted).
    5. Smart electricity saving system for home. (Australian IP Granted). Patent Number & Date: 2021100118 (31st March 2021).
    6. A Device for removing lacunas of existing image using in painting techniques.  CBR Number & Date: 201931051249 A (11-12-2019). (Indian IP Granted).
    7. Multilevel automated security system for prevention of accidents at unnamed railway crossings. CBR Number & Date: 10957 (08052017). (Indian IP).

Projects & Activities

Sponsored Research Projects (External Funded)

  1. Information Security Education and Awareness (ISEA) Phase - III. Sponsored by Ministry of Electronics and Information Technology (MeitY), Govt. of India. (Co-Investigator). (2024-2029) [Cost: Rs. 2,01,60,000.00]. (On Going)
  2. Solving the medicine price tampering supply chain struggle with blockchain: design of pharma drug model. Under Cybersecurity Center research grant. Sponsored by Prince Prince Mohammad Bin Fahd University, Kingdom of Saudi Arabia. (As a sole PI). (2022-2024) [Cost: $ 5000.00]. (Completed).
  3. Secure and dynamic privacy-preserving public auditing schemes for IOT enabled data in clouds. Under Cybersecurity Center research grant. Sponsored by Prince Mohammad Bin Fahd University, Kingdom of Saudi Arabia. (As a sole PI). (2021-2022) [Cost: $ 6000.00]. (Completed)
  4. Machine Learning based Agriculture Advent for Farmer Activity Development in India: An Application Approach. Under Empowerment and Equity Opportunities for Excellence in Science scheme. Sponsored by DST(SERB), Govt. of India. (As a sole PI). (2019-2022) [Cost: Rs. 20,46,500.00]. (Completed).
  5. Precision Agricultural Model to Increase Crop Productivity in India using Big Data. Under Early Career Research (ECR) scheme. Sponsored by DST(SERB), Govt. of India. (As a sole PI). (2017-2020) [Cost: Rs. 18,04,221.00]. (Completed).
  6. An Atomic Transaction Scenario for Heterogeneous Distributed Databases – A Synonym Application Approach for Reservation System. Sponsered by TEQIP-II(MHRD), Govt. of India. (2014-2015) [Cost: Rs. 100000.00]. (As a sole PI). (Completed).

Consultancy Project

Consultancy Project Funding History:
  • Project Expense for TCSiON, Tata Consultancy Services, India. Project No. : CONS 7434 E (24-02-2025) [Cost: Rs. 104020.00]. (CI)
  • Ethereum and Smart Contracts - DApps Development (Live lectures and content creation), Tata Consultancy Services, India. Project No. : EDP/6/35/2023-24 (21-02-2024) [Cost: Rs. 253700.00] (CI).
  • Content creation and live lectures on Ethereum and Smart Contracts - DApps Development, Tata Consultancy Services, India. Project No. : EDP/7084/2023-24 (28-06-2023) [Cost: Rs. 322750.0] (CI).
  • Enterprise solution constructs for CMPF portal - Coal Mines Provident Fund, Govt. of India. Project No. (R) : CONS/6034/2020-21 (18-01-2021) [Cost: Rs. 531000.00]. (Co-CI). 
  • Executive Development Programs History:
  • FDP on Conceptual Blockchain: An Application Portfolio (Series - II) Sponsored by ISEA Project Phase-III, MieTy, Govt. of India. (19-23, October, 2024). (As a Coordinator).
  • Online Workshop: Conceptual Blockchain: An Application Portfolio (Series - I) , (21, September, 2023). (As a Coordinator).
  • ST Webinar: Cloud and Network Security Mechanisms, Sponsored by ISEA Project Phase-II, MieTy, Govt. of India. (02-06, November, 2020). (As a sole PI).
  • STC: Conceptual Big Data, No. CONS/3532/2017-18. (07-09, June, 2017). (As a sole PI).
  • STC: Data Storage and Processing Techniques in Cloud Environment, No. CONS/3214/2016-17. (01-03, June, 2016). (As a sole PI).

Membership of Scientific Societies

Senior Member IEEE (SM-IEEE).
Senior Member ACM (SM - ACM).
Life Member - India Society for Technical Education (LM - ISTE)
Member - International Association for Engineers (M-IAENG)

Other Academic and Administrative Activities

Professional Activities:
  1. Program Co-Chair of 6th IEEE International Conference on Recent Advances on Information Technology (RAIT-2025), Indian Institute of Technology (ISM), Dhanbad, 06-08 March, 2025.[
  2. Organized a FDP on Conceptual blockchain: An application Portfolio (CBC-2024), Series-II, Indian Institute of Technology (ISM), Dhanbad, 19-23, October, 2024.
  3. Organized a workshop on Conceptual blockchain: An application Portfolio (CBC-2023), Indian Institute of Technology (ISM), Dhanbad, 21 September, 2023.
  4. Established an association with the Tata Consultancy Services (TCS), as an academic SME for Ethereum and Smart Contracts (Blockchain Course) (20 June 2023).
  5. Established a collaboration with the University of Economics and Human Sciences, Warsaw, Poland, as a visiting academician and researcher (15 June 2023).
  6. Guest Editor (Special Issue) on “Artificial Intelligence/Machine Learning in Wireless Communications and Networking” Journal of Telecom, MDPI, (ISSN 2673-4001), 15 March 2023.
  7. Guest Editor (Special Issue) on “AI Powered Human-centric Computing with Cloud and Edge” Journal of Computers, Materials & Continua, Tech Science Press, (ISSN:1546-2218), 01 March 2023.
  8. Organizing Chair (Special Session on Blockchain) at 2nd Int. Conference on Emerging Techniques in Computational Intelligence, ICETCI 2022: Mahindra University, Hyderabad, India, 25-27 August, 2022.
  9. Publication Chair of 4th ISEA Virtual Int. Conference on Security and Privacy 2021 (ISEA-ISAP 2021): Indian Institute of Technology (Indian School of Mines), Dhanbad, 27-30 October 2021.
  10. Organizer (Special Session on Communications and Networking) at 22nd Int. conference on High Performance Computing and Communications, HPCC-2020: Shangri-La’s Fijian Yanuka Island, Coral coast, Fiji, 14-16 December, 2020.
  11. Coordinator AMDOCS Innovation Lab 2019: Indian Institute of Technology (ISM), Dhanbad, 6 April, 2019.
  12. Organized HACKFEST’18: Indian Institute of Technology (ISM), Dhanbad, 23-25 March, 2018.
  13. Organizing Co-Chair of 4th Int. Conference on Recent Advances on Information Technology (RAIT-2018), Indian Institute of Technology (ISM), Dhanbad, 15-17 March 2018.
  14. Organized Intel® Nervana™ AI Academy Student Workshop, Under Student development program by INTEL Artificial Intelligence, 6th, September, 2017.
  15. Organizing Co-Chair of 3rd International Conference on Recent Advances on Information Technology (RAIT-2016), Indian Institute of Technology (ISM), Dhanbad, 15-17 March, 2016.
  16. Program Committee member and Reviewer of International Conference on Computing Communication and Automation (ICCCA-2016), Galgotia University, 29-30 April 2016.
  17. Technical session co-chair of World Congress on Information and Communication Technology (WICT-12), Indian Institute of Information Technology (IIIT-M), Oct. 30 2012-Nov. 2, India.
  18. Technical session co-chair of 1st Int. Conference Recent Advances on Information Technology (RAIT-2012), RAIT-2012, IIT(ISM), Dhanbad.

Guidance

Ongoing and Awarded:
  1. [2024 - Cont.] K Srinivas: Cyber Physcial Systems - ( On Going).
  2. [2023- Cont.] Amit Kr. Upadhyay: Modelling Exascale Computing Paradigms - (On Going)
  3. [2017- 2023]  Debdadata Naik: Study and Design of Computational Strategies for Social Network Analysis. (Awarded: May 2024). (Works @ University of  Economics and Human Sciences, Warsaw, Poland).
  4. [2018- 2023] Rahul Mishra: Developing Security Paradigms for Secure and Efficient Data Storage in Cloud Environment. (Awarded: May 2023). (Works @ National Institute of Advanced Manufacturing Technology, Ranchi).
  5. [2017- 2022] Rashmi Priya: Study and Optimization of Big Data Processing Models for Crop Productivity in India. ( Awarded: June 2022). (Works @ Columbia Univeristy, USA).                                                                                                                                                                                              
  6. [2017-2022]. Naela Rizvi: Study and Provisioning Resource Management Modalities in Cloud Environment. (Awarded: April 2022). (Works @ TechnoMain Salt Lake).
  7. [2015-2023] Shashi Raj: Study and Development of Spark-based Frequent Itemset Mining Algorithms. (Awarded: July 2023). (Works @ Bakhtiyarpur College of Engg., Govt. College, Patna).
  8. [2016-2023] G Madhukar Rao: Study and Visualization of Big Data using Machine Learning Algorithms. (Awarded: July 2023). (Works @ KL University, Hyderabad).
  9. [2015-2021] Krishan Kr. Sethi: Study and Development of Pattern Mining Techniques for Standalone and Distributed Environment. (Awarded: Sep 2021). (Works @ National Institute of Technology, Patna).
  10. [2015-2021] Thakur Santosh: Study of Knowledge Capturing and Analysis of Big Data. (Awarded: June 2021). (Works @ Mahindra University, Hyderabad).

 

Copyright © 2025 All Rights Reserved || Designed & Developed by - WEBSTEP TECHNOLOGIES PRIVATE LIMITED