Dr. Suresh L is a highly skilled and result-oriented professional with over three decades of academic and administrative experience. He holds a Doctor of Philosophy ( in Computer Science.
He served as Principal for eight years at Cambridge Institute of Technology, significantly elevating the institute’s standards. Prior to that, he was a Professor and Head of the Department of Computer Science for 12 years at BMS College of Engineering.
Currently, he is the Professor and Head of the Department of Information Science and Engineering at RNS Institute of Technology. Over the years, he has taken on various roles, including teacher, mentor, principal, and administrator. He has also been actively involved in the Board of Examinations and the Board of Studies.
Dr. Suresh is widely regarded as an outstanding teacher, admired by students for his ability to simplify complex concepts and make learning engaging. He also assists students in securing paid internships and placements.
EDUCATION
B.E(CSE),
M.E(CSE),
M.S(CS),
P hD(CS)
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Science, Artificial Intelligence, Information Systems
39
Scopus Publications
201
Scholar Citations
8
Scholar h-index
7
Scholar i10-index
Scopus Publications
A Framework for Real-Time Semantic Duplicate Detection in Q&A Platforms using a Serverless Autonomous Agent Poorvi Srikanth, K G Deeksha, Pooja Sharma, Charulatha Reddy, L Suresh, Prashanth Kannadaguli Proceedings of 2025 6th International Conference on Communication Computing and Industry 6 0 C2i6 2025, 2025 The rapid growth of community-driven platforms, such as Stack Overflow, has resulted in vast amounts of unstructured and often redundant question-answer pairs, making it difficult for users to efficiently retrieve high-quality solutions. To address this challenge, we propose SO-Janitor-Agent, an intelligent system designed to automate the cleaning, organization, and retrieval of Stack Overflow content. In the first phase, raw data is collected through web scraping and processed into a curated golden data set by removing noise, duplicates, and inconsistencies. In the second phase, we develop a semantic search engine powered by natural language processing techniques to provide context-aware retrieval of relevant answers rather than simple keyword matches. To ensure scalability, portability, and ease of deployment, the third phase involves containerizing the application with Docker and deploying it to Google Cloud Run, enabling serverless and costefficient execution. In the next stage, the system is extended to a fully automated AI agent using the n8n workflow, allowing continuous monitoring, intelligent decision-making, and dynamic interaction with Stack Overflow data. The proposed system demonstrates how data cleaning, semantic search, and agentdriven cloud-native deployment can be combined to improve developer productivity and accessibility to high-quality technical knowledge.
Optimized Deep Learning for Enhanced Trade-off in Differentially Private Learning P. Geetha, C. Naikodi, L. Suresh Engineering Technology and Applied Science Research, 2021 Privacy and data analytics are two conflicting domains that have gained interest due to the advancements of technology in the big data era. Organizations in sectors such as finance, healthcare, and e-commerce take advantage of the data collected, to help them enable innovative decision making and analysis. What is sidelined is the fact that the collected data have associated private data of the individuals involved, and may be exploited and used for unjustified purposes. Defending privacy and performing useful analytics are two sides of the same coin, and hence achieving a good balance between these is a challenging scenario. This paper proposes an optimized differentially private deep learning mechanism that enhances the trade-off between the conflicting objectives of privacy, accuracy, and performance. The goal of this paper is to provide an optimal solution that gives a quantifiable trade-off between these contradictory objectives.
Optimal Min-Communication and Migration Cost Algorithm based Approach for Efficient Task Migration in Cloud Computing Manjunatha S, Suresh L 2021 International Conference on Circuits Controls and Communications Ccube 2021, 2021 As more endeavors and organizations use cloud conditions and administrations to lessen IT costs, cloud specialist co-ops need to limit their activity cost of server farms to acquire benefits while contending with one another. In this review, a proficient virtual machine provisioning system for cloud server farm is presented. In light of cloudsim 3.0 test system, our test results have shown that the proposed provisioning component is extremely effective as far as CPU use and delivers less number of virtual machine relocations in correlation with existing provisioning instruments like LrMmt(Local Regression and Minimum Migration Time Approach). The test results show that our Task relocations into virtual machine plainly improve the correspondence cost and movement cost. This implies that these three calculations further develop the organization execution and decrease the organization utilization in cloud-edge combination figuring conditions. They likewise beat existing calculations as far as activity time by 70% overall.
An Ensemble Learning Approach for Privacy-Quality-Efficiency Trade-Off in Data Analytics Geetha Peethambaran, Chandrakant Naikodi, L Suresh Proceedings International Conference on Smart Electronics and Communication Icosec 2020, 2020 Privacy is an issue of concern in the electronic era where data has become a primary source of investment for businesses and organizations. The value generated from data is put to use in a number of ways for economic benefit. Customer profiling is one such instance, where data collected is used for targeted marketing, personalized purchase recommendations and customized product deliveries. In such applications, the risk of individual sensitive information disclosure always prevails, affecting the privacy of individuals involved. Hence privacy preserving analysis demands suppressing or transforming data before it is published for analysis, thus curbing data leak. Subsequently, data quality degrades, and operative analytics is affected. With Big data, algorithms that offer a reasonable qualityprivacy trade off need enhancements in terms of efficiency and scalability. In this paper, the work proposed uses a privacy based composite classifier model to analyze the accuracy of classification. The diverse characteristics of algorithms in the composite classifier are found to balance the classification accuracy that is likely to get affected by privacy model. Further, the model’s performance with respect to execution time is then evaluated using the parallel computing framework Spark.
Building scalable and flexible cluster managers using declarative programming Proceedings of the 14th Usenix Symposium on Operating Systems Design and Implementation Osdi 2020, 2020
Elmo: Source routed multicast for public clouds Muhammad Shahbaz, Lalith Suresh, Jennifer Rexford, Nick Feamster, Ori Rottenstreich, Mukesh Hira SIGCOMM 2019 Proceedings of the 2019 Conference of the ACM Special Interest Group on Data Communication, 2019 We present Elmo, a system that addresses the multicast scalability problem in multi-tenant datacenters. Modern cloud applications frequently exhibit one-to-many communication patterns and, at the same time, require sub-millisecond latencies and high throughput. IP multicast can achieve these requirements but has control- and data-plane scalability limitations that make it challenging to offer it as a service for hundreds of thousands of tenants, typical of cloud environments. Tenants, therefore, must rely on unicast-based approaches (e.g., application-layer or overlay-based) to support multicast in their applications, imposing bandwidth and end-host CPU overheads, with higher and unpredictable latencies.
Evaluation of Data Efficacy in Privacy-aware Computing P. Geetha, Chandrakant Naikodi, L. Suresh Proceedings of the 4th International Conference on Communication and Electronics Systems Icces 2019, 2019 The Digital era marked by the unparalleled growth of Internet and its services with day-to-day technological advancements has paved way for a data driven society. This digital explosion offers huge market value to organizations and business processes who gain valuable information from the collected data to promote futuristic decision making. The aftermath of this large scale analytics is the privacy breach of sensitive information of individuals. The confidential information of people is at a risk of disclosure when it is used for a purpose not intended. Not only should privacy techniques guard classified data, but also ensure that it does not weaken data value when considered for analytical purposes. The proposed work focuses on assessing the expediency of sanitized data for analytics, using a threshold based optimal strategy for improving anonymization with large data. Classification models are trained on the anonymized data using benchmark algorithms and its accuracy is determined. The work is extended to evaluate the performance aspects of the proposed technique on diverse parallel execution environments, Hadoop and Spark.
C3: Cutting tail latency in cloud data stores via adaptive replica selection Proceedings of the 12th Usenix Symposium on Networked Systems Design and Implementation Nsdi 2015, 2015
Demo: Programming enterprise WLANs with odin Lalith Suresh, Julius Schulz-Zander, Ruben Merz, Anja Feldmann SIGCOMM 12 Proceedings of the ACM SIGCOMM 2012 Conference Applications Technologies Architectures and Protocols for Computer Communication, 2012
Towards programmable enterprise WLANS with Odin Lalith Suresh, Julius Schulz-Zander, Ruben Merz, Anja Feldmann, Teresa Vazao Hotsdn 12 Proceedings of the 1st ACM International Workshop on Hot Topics in Software Defined Networks, 2012
Efficient compression of encrypted grayscale images D.N. Monica, K.L. Shunmuganathan, L. Padma Suresh 2011 International Conference on Signal Processing Communication Computing and Networking Technologies Icsccn 2011, 2011
Acceleration of functional validation using GPGPU Lalith Suresh, Navaneeth Rameshan, M. S. Gaur, Mark Zwolinski, Vijay Laxmi Proceedings 2011 6th IEEE International Symposium on Electronic Design Test and Application Delta 2011, 2011
Single Source Shortest Path Algorithm-Based on Reverse Tracking from Destination, using Dynamic Programming M Srihari, L Suresh, B Ambore, K Sunitha 2024 International Conference on Knowledge Engineering and Communication … , 2024 2024
Ford fulkerson and Newey West regression based dynamic load balancing in cloud computing for data communication BK Prabhakara, C Naikodi, L Suresh Int J Comput Netw Inf Secur 15 (5), 81-95 , 2023 2023 Citations: 4
Hybrid meta-heuristic technique load balancing for cloud-based virtual machines BK Prabhakara, C Naikodi, L Suresh Int J Intell Syst Appl Eng 11 (1), 132-139 , 2023 2023 Citations: 7
Improving Energy Efficiency Using Optimized Energy Model Virtual Machine Algorithm in Cloud Computing S Manjunatha, L Suresh Journal of Interconnection Networks 22 (Supp01), 2141033 , 2022 2022
Optimal Min-Communication and Migration Cost Algorithm based Approach for Efficient Task Migration in Cloud Computing S Manjunatha, L Suresh 2021 International Conference on Circuits, Controls and Communications … , 2021 2021
-Anonymization-Based Temporal Attack Risk Detection Using Machine Learning Paradigms G Peethambaran, C Naikodi, SL Narasimha Setty Journal of Circuits, Systems and Computers 30 (03), 2150050 , 2021 2021 Citations: 3
Optimized deep learning for enhanced trade-off in differentially private learning P Geetha, C Naikodi, L Suresh Engineering, Technology & Applied Science Research 11 (1), 6745-6751 , 2021 2021 Citations: 6
Detection and classification of objects in satellite images using custom CNN S Deepthi, K Sandeep, L Suresh International Journal of Engineering Research & Technology 10 (6), 629-635 , 2021 2021 Citations: 23
Minimization of energy using heuristic resource allocation and migration for cloud computing S Manjunatha, L Suresh International Journal of Knowledge and Systems Science (IJKSS) 12 (1), 74-83 , 2021 2021 Citations: 5
A Comprehensive Review Of Predictive Vm Migration Schemes Using Forecasting Techniques In Cloud Computing S Manjunatha, L Suresh Solid State Technology 63 (6), 15934-15951 , 2020 2020
An ensemble learning approach for privacy–quality–efficiency trade-off in data analytics G Peethambaran, C Naikodi, L Suresh 2020 International Conference on Smart Electronics and Communication (ICOSEC … , 2020 2020 Citations: 6
Fault-resilient and QoS centric dynamic network sensitive routing protocol for mobile-WSNs DR Ganesh, KK Patil, L Suresh International Journal of Autonomous and Adaptive Communications Systems 13 … , 2020 2020 Citations: 22
Design of big data privacy framework—a balancing act P Geetha, C Naikodi, SLN Setty Advances in Data Sciences, Security and Applications: Proceedings of ICDSSA … , 2019 2019 Citations: 22
Comprehensive analysis of students’ performance by applying machine learning techniques BH HemaMalini, L Suresh, M Kushal Smart Intelligent Computing and Applications: Proceedings of the Third … , 2019 2019 Citations: 6
Novel model for boosting security strength and energy efficiency in internet-of-things using multi-staged game B Ambore, L Suresh International Journal of Electrical and Computer Engineering 9 (5), 4326 , 2019 2019 Citations: 11
A multicast transmission routing protocol for low power lossy network based IoT ecosystem DR Ganesh, KK Patil, L Suresh International Conference on Intelligent Data Communication Technologies and … , 2019 2019 Citations: 18
Integrated Model of Bandwidth Optimization and Energy Efficiency in Internet-of-Things B Ambore, L Suresh Proceedings of the Computational Methods in Systems and Software, 379-388 , 2019 2019 Citations: 1
Evaluation of Data Efficacy in Privacy-aware Computing P Geetha, C Naikodi, L Suresh 2019 International Conference on Communication and Electronics Systems … , 2019 2019
Game-Decision Model for Isolating Intruder and Bridging Tradeoff Between Energy and Security B Ambore, L Suresh Computer Science On-line Conference, 11-20 , 2019 2019 Citations: 1
Q-FRPML: QoS-centric fault-resilient routing protocol for mobile-WSN based low power lossy networks DR Ganesh, KK Patil, L Suresh Wireless Personal Communications 105 (1), 267-292 , 2019 2019 Citations: 23
MOST CITED SCHOLAR PUBLICATIONS
Detection and classification of objects in satellite images using custom CNN S Deepthi, K Sandeep, L Suresh International Journal of Engineering Research & Technology 10 (6), 629-635 , 2021 2021 Citations: 23
Q-FRPML: QoS-centric fault-resilient routing protocol for mobile-WSN based low power lossy networks DR Ganesh, KK Patil, L Suresh Wireless Personal Communications 105 (1), 267-292 , 2019 2019 Citations: 23
Fault-resilient and QoS centric dynamic network sensitive routing protocol for mobile-WSNs DR Ganesh, KK Patil, L Suresh International Journal of Autonomous and Adaptive Communications Systems 13 … , 2020 2020 Citations: 22
Design of big data privacy framework—a balancing act P Geetha, C Naikodi, SLN Setty Advances in Data Sciences, Security and Applications: Proceedings of ICDSSA … , 2019 2019 Citations: 22
A multicast transmission routing protocol for low power lossy network based IoT ecosystem DR Ganesh, KK Patil, L Suresh International Conference on Intelligent Data Communication Technologies and … , 2019 2019 Citations: 18
Energy aware multipath AODV routing protocol for mobile ad hoc network NM Lutimath, L Suresh, C Naikodi International Journal of Engineering Research ISSN, 2319-6890 , 2016 2016 Citations: 12
Novel model for boosting security strength and energy efficiency in internet-of-things using multi-staged game B Ambore, L Suresh International Journal of Electrical and Computer Engineering 9 (5), 4326 , 2019 2019 Citations: 11
Data mining in higher education system and the quality of faculty affecting students academic performance: a systematic review HM BH, L Suresh International Journal of Innovations and Advancement in Computer Science 7 … , 2018 2018 Citations: 9
Hybrid meta-heuristic technique load balancing for cloud-based virtual machines BK Prabhakara, C Naikodi, L Suresh Int J Intell Syst Appl Eng 11 (1), 132-139 , 2023 2023 Citations: 7
Optimized deep learning for enhanced trade-off in differentially private learning P Geetha, C Naikodi, L Suresh Engineering, Technology & Applied Science Research 11 (1), 6745-6751 , 2021 2021 Citations: 6
An ensemble learning approach for privacy–quality–efficiency trade-off in data analytics G Peethambaran, C Naikodi, L Suresh 2020 International Conference on Smart Electronics and Communication (ICOSEC … , 2020 2020 Citations: 6
Comprehensive analysis of students’ performance by applying machine learning techniques BH HemaMalini, L Suresh, M Kushal Smart Intelligent Computing and Applications: Proceedings of the Third … , 2019 2019 Citations: 6
Sentiment analysis of product attribute using social media BN Raju, C Naikodi, L Suresh International Journal of Engineering Research 5 (4), 790-991 , 2016 2016 Citations: 6
Minimization of energy using heuristic resource allocation and migration for cloud computing S Manjunatha, L Suresh International Journal of Knowledge and Systems Science (IJKSS) 12 (1), 74-83 , 2021 2021 Citations: 5
Efficient source initiated multipath routing protocol for manet NM Lutimath, L Suresh, C Naikodi 2016 International Conference on Signal Processing, Communication, Power and … , 2016 2016 Citations: 5
Ford fulkerson and Newey West regression based dynamic load balancing in cloud computing for data communication BK Prabhakara, C Naikodi, L Suresh Int J Comput Netw Inf Secur 15 (5), 81-95 , 2023 2023 Citations: 4
Efficient power aware multipath routing protocol for MANETs NM Lutimath, L Suresh, C Naikodi 2016 International Conference on Circuits, Controls, Communications and … , 2016 2016 Citations: 4
-Anonymization-Based Temporal Attack Risk Detection Using Machine Learning Paradigms G Peethambaran, C Naikodi, SL Narasimha Setty Journal of Circuits, Systems and Computers 30 (03), 2150050 , 2021 2021 Citations: 3
Water Level Indicator using Smart Bluetooth A Kumar, C Naikodi, L Suresh Int. Journal of Engineering Research 5, 790-991 , 2016 2016 Citations: 3
Integrated Model of Bandwidth Optimization and Energy Efficiency in Internet-of-Things B Ambore, L Suresh Proceedings of the Computational Methods in Systems and Software, 379-388 , 2019 2019 Citations: 1
