Lokesh M R

@ajiet.edu.in

Professor Department of computer Science and Engineering
AJ institute of enigneering and technology, Mangalore

Lokesh M R


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https://researchid.co/lokeshmr.cse
I bring more than 22 years of academic experience in teaching, research, mentoring, and administration across reputed institutions including A J Institute of Engineering and Technology, Mangaluru, Vivekananda College of Engineering and Technology, Puttur, and Maharaja Institute of Technology, Mysore. My research interests include Cyber-Physical Systems, Artificial Immune Systems, Resiliency, and Fault-Tolerant Computing.
I have published extensively in journals and conferences, secured granted patents, contributed to funded research and sponsored projects, and am currently supervising Ph.D. scholars registered under VTU, Belagavi. I have also served in departmental and institutional committees, organised academic events, supported outcome-based education practices, and collaborated with industry partners for curriculum and skill development.

EDUCATION

Year Degree Institution
2019 Ph.D. in Computer Science and Engineering Sathyabama Institute of Science and Technology
2007 M.Tech in Information Technology National Institute of Engineering, Mysore
2001 B.E. in Electronics and Communication Engineering PES College of Engineering, Mandya

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Information Systems, Computer Networks and Communications
12

Scopus Publications

79

Scholar Citations

5

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • ESTIMATION OF MINIMAL INITIAL SAMPLE SIZE IN PROGRESSIVE SAMPLING FOR BIG DATA ANALYTICS
    Journal of Theoretical and Applied Information Technology, 2023
  • Implementation of GUI based Vital Track Ambulance for Patient Health Monitoring
    Dankan Gowda V, Lokesh M, H P Viraj, Rinkesh V Mailapur, Mahendra K
    Proceedings of the 8th International Conference on Communication and Electronics Systems Icces 2023, 2023
    Smart Ambulance and Patient Health Monitoring is a system designed to enhance the quality of medical care during patient transport. it is a cutting-edge technology that integrates healthcare with transportation It aims to improve the efficiency of emergency medical services. This work is an effort to address a critical issue in modern healthcare delivery. It consists of three major sections. First, sensors would be used to detect the patient's vitals; second, data would be sent to a cloud storage service; and third, the discovered data would be made available for remote viewing via a Java GUI. The ambulance is equipped with a real-time communication system that connects it with the database, enabling healthcare professionals to remotely monitor and advise on patient care in Java GUI. The patient's vital signs (heart rate, respiration rate, and temperature) are tracked in real time by sensors and wireless communication devices in the patient health surveillance system. This information is transmitted to the Java GUI including ambulance safety parameters like Fire sensor, IR sensor, GPS tracking and Gas sensor, enabling healthcare professionals to make informed decisions regarding patient care, and to enhance the ambulance's ability to reach the hospital safely. The system aims to improve patient outcomes by providing timely and accurate medical interventions during transport and may reduce the time between diagnosis and treatment.
  • Six sigma DMAIC approach based mobile application for statistical analysis of COVID-19 data
    Kavyashree Nagarajaiah, Supriya Maganahalli Chandramouli, Lokesh Malavalli Ramakrishna
    International Journal of Pervasive Computing and Communications, 2022
    Purpose Coronavirus disease 2019 is one of the novel diseases formed by a dreadful virus called Severe Acute Respiratory Syndrome Coronavirus 2. Various countries are affected by this viral disease, and many countries declare a lockdown with several rules and conditions. To prevent this rapid viral transmission, various researchers have introduced different mobile applications. This paper aims to study issues like viral transmission, mortality rates, vaccination rates, etc. and also provides suitable solutions based on the statistical analysis with the assistance of the Six-Sigma Define-Measure-Analyse-Improve-Control (DMAIC) concept. Design/methodology/approach Statistical analysis is done for different countries, and the required solutions are provided by using the DMAIC procedure. This application has the ability to represent the current risk status of the user and notify them to secure themselves. Findings The proposed work suggests the Aarogya Setu application to prevent large viral transmission by affording many preventive measures. This application also issues the current risk status of each individual user. Hence, it gives improved results in avoiding high viral transmission. Originality/value The proposed six-sigma DMAIC concept also affords the control measures to prevent viral transmission. Hence, the suggested application has the highest chance of avoiding the rapid viral transmission.
  • Mobile App Usage Behaviour based User Authentication using Fuzzy Random Forest
    Kavyashree Nagarajaiah, Supriya Maganahalli Chandramouli, Lokesh M. R, D Amalfitano, V Riccio, et al.
    Journal of System and Management Sciences, 2022
    Smartphones are common among people and are also used for monitoring and controlling house appliances.Identity verification on smartphones is typically done once and the identification method is not repeatedly used.Extraction of data from mobile telephone usage, including authentication and authorization events can be used to find a resolution.In this method, Fuzzy logic with the Random Forest user authentication model is presented for a mobile application that uses events of application access.The real-world dataset has been employed to test the approach.The framework is tested for authenticated users using shared applications for a particular time.The proposed method considers that the users operate the mobile apps individually during weekend days.The proposed method is tested with alternative classifiers in terms of the identity of valid users.The proposed model has a higher F-measure of 99.98 % compared to the existing K-Nearest Neighbor has 96 % F-measure.
  • Implementation of live data analytics using machine learning techniques and FPGA
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • State awareness towards resiliency in cyber-physical system: A modified Danger Theory based deterministic Dendritic Cell Algorithm approach
    M R Lokesh, Y. S. Kumaraswamy
    2015 IEEE International Conference on Computer Graphics Vision and Information Security Cgvis 2015, 2016
    State awareness plays major role in developing resiliency in cyber-physical system where the environment is diverse in nature. Cyber-physical system is modeled with Multi Agent Paradigm and biological inspired Danger Theory based-Dendritic Cell Algorithm Methodology is applied towards developing state awareness. The proposed methodology uses, Threshold-based agent population concentration to define each state toward indicates different state awareness on resiliency in cyber-physical system. This achieves new proposal of state awareness algorithm. The Algorithm is validated with simulation results as well numerical analyses.
  • Healing process towards resiliency in cyber-physical system: A modified danger theory based artifical immune recogization2 algorithm approach
    M R Lokesh, Y.S Kumaraswamy
    2015 IEEE International Conference on Computer Graphics Vision and Information Security Cgvis 2015, 2016
    Healing Process is a major role in developing resiliency in cyber-physical system where the environment is diverse in nature. Cyber-physical system is modelled with Multi Agent Paradigm and biological inspired Danger Theory based-Artificial Immune Recognization2 Algorithm Methodology towards developing healing process. The Proposed methodology is implemented in a simulation environment and percentage of Convergence rates shown in achieving accuracy in the healing process to resiliency in cyber-physical system environment is shown.
  • Modified Danger Theory based optimized artificial immune network on resiliency in cyber-physical system
    Lokesh M R, Y.S Kumaraswamy
    Proceedings of the 2015 International Conference on Green Computing and Internet of Things Icgciot 2015, 2016
    Resiliency plays major role in developing reliable and robustness in cyber-physical system where the environment is diverse in nature. The cyber-physical system is model with Multi Agent Paradigm and biological inspired Danger Theory based-modified Artificial Immune Network Algorithm demonstrates on resiliency development. The propose algorithm defines resiliency as state awareness and healing process, with dendritic cells as Threshold-based agent population concentration and Artificial Recognization Ball as memory agent correspondingly. This algorithm is validated with simulation results as well numerical analyses.
  • Next State Prediction algorithm for the avionic systems using the hidden Markov models
    Lokesh M R, Y.S Kumaraswamy
    Proceedings of the 2015 International Conference on Green Computing and Internet of Things Icgciot 2015, 2016
    This paper covers increasing need for next state prediction in the field of the avionics system that will predict and overcome the faults caused by the avionics systems. “Next State Prediction” is used for the predication of the possible states that the system can exist. This paper explains about how Markov models and hidden Markov models can be used for the prediction of the state in which the system exist based on which it could be stated if it is in a safe state. In the current scenario, it is not possible to have 100% test coverage for all the test cases. There will be instances where some of the portions that will not be covered by the test coverage and may lead to catastrophic faults. A very good process of verification and validation is carried out before the software is operational. However, all these are carried out before the software is commissioned on the target for its stipulated use. Further, the V&V is carried out in a simulated environment. It is very difficult to simulate the environment into. There could be some environmental conditions which have not been simulated and which could trigger the software state to an unsafe condition. Hence we use this methodology so as to predict if the current state or any further states in which an aircraft could exist would be safer one, if not, necessary steps could be carried out so as to make it safer.
  • Line loss minimization in distant substations and multiple cycle distribution systems using UPFC
    International Journal of Control Theory and Applications, 2016
  • Demonstration of inner state awareness and outer self healing closed feedback loop for resiliency in traffic control cyber-physical system
    International Journal of Applied Engineering Research, 2014
  • On autonomic self healing architecture for resiliency in cyber physical system
    Lokesh M. R, Y. S. Kumaraswamy
    International Journal of Multimedia and Ubiquitous Engineering, 2014

RECENT SCHOLAR PUBLICATIONS

  • Vascular Ectasia as a Cause of Gastrointestinal Bleeding in Primary Hemophagocytic Lymphohistiocytosis
    MR Lokesh, D Khera, DR Rangaswamy, A Shrivastava, PK Garg, S Didel
    Indian Journal of Pediatrics, 1-1 , 2026
    2026
  • Examining the Impact of Data Imbalance on the Effectiveness of the Proposed Algorithm for Real-Time Prediction of Heart Disease and Suggesting Solutions
    LMR Pragathi,Sneha Ghode,Nisha Hebbar,Bhoomika Surendra Naik
    International Journal of Scientific Research & Engineering Trends 11 (2 … , 2025
    2025
  • YoloV8 Based Traffic Violation Detection and Intelligent Signal Control using Roboflow
    NJM Lokesh M R , Devesh , Jyothi , Kanvika R
    International Journal of Advanced Research in Computer and Communication … , 2025
    2025
  • A Systematic Study on Extraction of Temporal Relation from Clinical Free Text
    LMR Vani K.B
    International Journal of Computer Applications 186 (41), 26-39 , 2024
    2024
  • A NOVEL ML BASED APPROACH FOR CLINICAL INFORMATION EXTRACTION BASED ON LEXICAL FEATURES AND CANDIDATE PAIRS
    LMR Vani K B
    INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH 13 (8), 1-4 , 2024
    2024
  • 3D Point-Cloud Processing Using Panoramic Images for Object Detection
    L MR, K Anushitha, D Ashok, K Deepak Raj, K Harshitha
    2024
  • Lip Reading using Computer Vision Techniques and Deep Learning Algorithms for Deaf and Dumb People
    KKG Lokesh M R , Arpitha C L , Hemalatha
    International Journal of Research Publication and Reviews 5 (5), 1858-1865 , 2024
    2024
  • Estimate Initial and Final Data Bounding for Big Data Progressive Sampling in Parallel Computing Environment
    BCY Aradhya, HA Dinesh, MR Lokesh
    International Conference on Intelligent Systems in Computing and … , 2023
    2023
  • Estimation of minimal initial sample size in progressive sampling for big data analytics
    YA BC, D HA, L MR
    J. Theor. Appl. Inf. Technol 101, 13 , 2023
    2023
    Citations: 1
  • Automatic Headlight Dimmer and Curve Lane Detection for Intelligent Transportation Systems
    SRSKS Lokesh M R, Rakshitha B V
    International Journal Of Engineering Research And Development 19 (3), 14-21 , 2023
    2023
  • Multi Label Based Feature Classification Model In Bigdata Information Extraction
    C Manjunatha Swamy, SM Sundaram, MR Lokesh
    International Journal of Research in Engineering and Science 11 (3), 271-279 , 2023
    2023
    Citations: 2
  • ENHANCED BINARY BAT ALGORITHM BASED FEATURE SELECTION MODEL FOR BIG DATA INFORMATION EXTRACTION
    DLMR MANJUNATHA SWAMY C,Dr. S. MEENAKSHI SUNDARAM
    The Seybold Report Journal 18 (02), 1512-1524 , 2023
    2023
    Citations: 2
  • Performance analysis of feature selection and classification in Big Data Information extraction
    C Manjunatha Swamy, SM Sundaram, MR Lokesh
    Saudi J Eng Technol 8 (3), 62-70 , 2023
    2023
    Citations: 1
  • Mobile App Usage Behaviour based User Authentication using Fuzzy Random Forest
    LMR Kavyashree Nagarajaiah , Supriya Maganahalli Chandramouli
    Journal of System and Management Sciences 12 (2), 497-511 , 2022
    2022
  • Ambient Air Quality Monitoring In Dumping Ground Using Cyber Physical System
    SKS Lokesh M R, Swathi M, Sahana K S, Chandan Babu
    International Journal of Emerging Technologies and Innovative Research 9 (7 … , 2022
    2022
  • Review on Iris Recognition Research Directions- A Brief Study
    HAD Dr. Lokesh M R, B K Amruth Gowda, Prajwal B L, Vaibhav M P
    International Journal for Research in Applied Science & Engineering … , 2022
    2022
  • Six sigma DMAIC approach based mobile application for statistical analysis of COVID-19 data
    K Nagarajaiah, S Maganahalli Chandramouli, L Malavalli Ramakrishna
    International Journal of Pervasive Computing and Communications 18 (3), 347-364 , 2022
    2022
    Citations: 1
  • A Device to Detect Dairy Product Freshness
    MR Lokesh, R Jahnavi, BU Puneeth, R Sthirya
    2022
  • Mobile App Usage Behaviour based User Authentication using Fuzzy Random Forest
    LMR Kavyashree Nagarajaiah , Supriya Maganahalli Chandramouli
    Journal of System and Management Sciences 12 (2), 497-511 , 2022
    2022
  • MACHINE LEARNING APPROACH FOR PROTECTING THE INFORMATION TRAFFIC WITH FIREWALL FOR SMART IOT DEVICES AND NETWORK
    RKS SAJJA, L MR
    2021

MOST CITED SCHOLAR PUBLICATIONS

  • Block chain based supply chain management for counterfeit drugs in pharmaceutical industry
    M Lokesh, S Ahmed, S Khan
    Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol 7 (1), 100-108 , 2021
    2021
    Citations: 16
  • A survey on li-fi technology
    R Bhavya, MR Lokesh
    An International Journal of Engineering & Technology 3 (1) , 2016
    2016
    Citations: 16
  • Challenges and current solutions of cyber physical systems
    MR Lokesh, YS Kumaraswamy, KN Tejaswini
    IOSR Journal of Computer Engineering 18 (2), 104-110 , 2016
    2016
    Citations: 9
  • On autonomic self healing architecture for resiliency in cyber physical system
    YS Kumaraswamy
    International Journal of Multimedia and Ubiquitous Engineering 9 (11), 75-84 , 2014
    2014
    Citations: 8
  • Site reliability engineering for IOS mobile application in small-medium scale industries
    N Kavyashree, MC Supriya, MR Lokesh
    2021
    Citations: 6
  • State awareness towards resiliency in cyber-physical system: A modified danger theory based deterministic dendritic cell algorithm approach
    MR Lokesh, YS Kumaraswamy
    2015 IEEE international conference on computer graphics, vision and … , 2015
    2015
    Citations: 5
  • Modified Danger Theory based optimized artificial immune network on resiliency in cyber-physical system
    MR Lokesh, YS Kumaraswamy
    2015 International Conference on Green Computing and Internet of Things … , 2015
    2015
    Citations: 5
  • Healing process towards resiliency in cyber-physical system: A modified danger theory based artifical immune recogization2 algorithm approach
    MR Lokesh, YS Kumaraswamy
    2015 IEEE international conference on computer graphics, vision and … , 2015
    2015
    Citations: 3
  • Multi Label Based Feature Classification Model In Bigdata Information Extraction
    C Manjunatha Swamy, SM Sundaram, MR Lokesh
    International Journal of Research in Engineering and Science 11 (3), 271-279 , 2023
    2023
    Citations: 2
  • ENHANCED BINARY BAT ALGORITHM BASED FEATURE SELECTION MODEL FOR BIG DATA INFORMATION EXTRACTION
    DLMR MANJUNATHA SWAMY C,Dr. S. MEENAKSHI SUNDARAM
    The Seybold Report Journal 18 (02), 1512-1524 , 2023
    2023
    Citations: 2
  • Critical success factor estimation for software security in small and medium scale industry using AHP and TOPSIS approach
    N Kavyashree, MC Supriya, MR Lokesh
    3rd International Conference on Integrated Intelligent Computing … , 2021
    2021
    Citations: 2
  • Estimation of minimal initial sample size in progressive sampling for big data analytics
    YA BC, D HA, L MR
    J. Theor. Appl. Inf. Technol 101, 13 , 2023
    2023
    Citations: 1
  • Performance analysis of feature selection and classification in Big Data Information extraction
    C Manjunatha Swamy, SM Sundaram, MR Lokesh
    Saudi J Eng Technol 8 (3), 62-70 , 2023
    2023
    Citations: 1
  • Six sigma DMAIC approach based mobile application for statistical analysis of COVID-19 data
    K Nagarajaiah, S Maganahalli Chandramouli, L Malavalli Ramakrishna
    International Journal of Pervasive Computing and Communications 18 (3), 347-364 , 2022
    2022
    Citations: 1
  • Dynamic Resource Scheduling In Cloud Computing Using Genetic Algorithm: A Survey
    C Manjunatha Swamy, SM Sundaram, MR Lokesh
    International Journal of Computer Science and Information Technologies … , 2015
    2015
    Citations: 1
  • Demontration of Inner state awareness and outer self healing closed feedback loop for resiliency in Traffic control cyber-physical system
    MR Lokesh, YS Kumaraswamy
    vol 9, 21133-21150 , 2014
    2014
    Citations: 1
  • Vascular Ectasia as a Cause of Gastrointestinal Bleeding in Primary Hemophagocytic Lymphohistiocytosis
    MR Lokesh, D Khera, DR Rangaswamy, A Shrivastava, PK Garg, S Didel
    Indian Journal of Pediatrics, 1-1 , 2026
    2026
  • Examining the Impact of Data Imbalance on the Effectiveness of the Proposed Algorithm for Real-Time Prediction of Heart Disease and Suggesting Solutions
    LMR Pragathi,Sneha Ghode,Nisha Hebbar,Bhoomika Surendra Naik
    International Journal of Scientific Research & Engineering Trends 11 (2 … , 2025
    2025
  • YoloV8 Based Traffic Violation Detection and Intelligent Signal Control using Roboflow
    NJM Lokesh M R , Devesh , Jyothi , Kanvika R
    International Journal of Advanced Research in Computer and Communication … , 2025
    2025
  • A Systematic Study on Extraction of Temporal Relation from Clinical Free Text
    LMR Vani K.B
    International Journal of Computer Applications 186 (41), 26-39 , 2024
    2024

Publications

Recent Zenodo Publications:
1. Malavalli Ramakrishna, Lokesh. "Maven & Gradle Build Automation for Java Applications: From Installation to Production-Grade Builds - Version v1. Zenodo, April 15, 2026. .
2. Malavalli Ramakrishna, Lokesh. "Introduction to Jenkins: Continuous Integration & Automated Builds on WSL - Module 2 Laboratory Version v1.0. Zenodo, April 16, 2026. .
3. M. R., L. (2026). Ansible configuration management laboratory manual: DevOps Laboratory (BCSL657D), Module 3, Programs 7–8 (Report No. 3). Zenodo.
4. Lokesh, M. R. (2026). Azure DevOps services: Module 4 laboratory manual (BCSL657D): DevOps Laboratory, VTU 2021 Scheme, Programs 9–12. Zenodo.
5. Lokesh, M. R. (2026). Introduction to AI and Applications (Module 1) (Version 1.0) [Technical note]. Zenodo.

GRANT DETAILS

Project / Programme Agency / Scheme Year / Status
3-Day Workshop on Hydrogen Energy for a Sustainable Future: Empowering a Greener Tomorrow; Co-Coordinator; Sanctioned Rs. 2,00,000 AICTE-VAANI, AJIET Mangaluru 2026

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

• Innovative/entrepreneurship activities: Spirulina Energy Bar; Trainer-Trainee Start-up for skill development programmes.

CONSULTANCY

• EDspire Research, Mysore - add-on course modules on XR Development, Augmented Reality, and Virtual Reality.
• RobotGuru Education Technologies Pvt. Ltd. - add-on course on robotic-related languages

Industry, Institute, or Organisation Collaboration

• EDspire Research, Mysore - add-on course modules on XR Development, Augmented Reality, and Virtual Reality.
• RobotGuru Education Technologies Pvt. Ltd. - add-on course on robotic-related languages.
• DeepRoot Linux Pvt. Ltd., Bengaluru - project proposal writing.
• Life Member, Computer Society of India (CSI), 2019; Life Member, ISTE, 2019; Member, Government School Computer Learning Programme.

INDUSTRY EXPERIENCE

Engineer Project Associate Tata Consultancy Services, Bengaluru 2007 - 2008
Service Engineer SUGE Control System, Bengaluru 2001 - 2003

STARTUP

• Projects guided include MedAssist, VIDHIKPATH, Real-Time ECG-Based Heart Disease Prediction, Smart Traffic Control and Violation Detection, 3D Point-Cloud Processing, Lip Reading System, Automatic Headlight Dimmer, Milk Product Quality Monitoring, Waste Dump Yard Segregation, Air Quality Monitoring, Counterfeit Drug Detection using Blockchain and Machine Learning, IoT authentication using secure vaults, and VANET/privacy-preservation projects.

SOCIAL, ECONOMIC, or ACADEMIC BENEFITS

• Participated in professional development programmes on Google Gemini Academy, Cyber Security and Intrusion Detection Forensics, Cybersecurity in Blockchain Technologies, Deep Learning, Research Methodology and IPR, Start-up Ecosystem, Mobile Application Development, International Research Orientation, Cyber-Physical Production Systems, Soft Computing Techniques, AICTE Quality Initiatives, Brain Computer Interface, Cyber Privacy and Security Engineering, Data Science Applications, Teaching Methodology, TCS Academic Interface Programme, IEEE IMSAA 2010, High Impact Presentation Skills, ISO training, Infosys FDP, Leadership Programme, and VHDL trends.