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Jaypee Institute of Information Technology, Noida
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  • Dr. K. Rajalakshmi
Associate Professor
k.rajalakshmi@jiit.ac.in

Education

  • PhD (CSE), Jaypee Institute of Information Technology, Noida
  • M.E. (CSE), Bharathiar University, Tamil Nadu
  • B.E. (EEE), Bharathiar University, Tamil Nadu

Biography

Dr. Rajalakshmi is a Senior Member of ACM, Senior Member of IEEE, Board Member of N2Women-COMSOC, and Professorial Member of IET, SIAM. She is currently affiliated as an Associate Professor, Dept of Computer Science and engineering, Jaypee Institute of Information Technology, Noida. She has more than 100 research publications in various reputed peer reviewed International Journal, Book Chapters, and International Conferences. She has served as Journal Guest Editor in Springer Nature and Recent Patents on Engineering. She has edited four books with Springer, Elsevier and IET. Her research interest includes Internet of Things, IoT Analytics, Cloud Computing, Wireless & Mobile networks, E-learning approaches.

Interest Area's

Internet of Things, IoT Analytics, Cloud Computing, Wireless & Mobile Networks, Soft Computing, Machine Learning, AI

Work Experience: (21+ years)

  • Associate Professor , Jaypee Institute of Information Technology, UP from Mar’21 – Present
  • Assistant Professor (Senior Grade), Jaypee Institute of Information Technology, UP from Sep’16 –Mar’21
  • Assistant Professor (Grade II), Jaypee Institute of Information Technology, UP from Apr’13 – Sep’16
  • Senior Lecturer, Jaypee Institute of Information Technology, UP from Apr’04 –Apr’13
  • Lecturer, Jaypee Institute of Information Technology, UP from  Jan’03 –Apr’04

Publications

Thesis and Project Supervision

  • No. of Ph. D’s Supervision: 05 (02 completed & awarded, 03 ongoing)
  • No. of M. Tech completed & awarded: 17
  • No. of Undergraduate Project supervised: more than 100 (completed)

Books

  • Krishnamurthi, Rajalakshmi,Adarsh Kumar, Sukhpal Singh Gill, and Rajkumar Buyya, eds. Serverless Computing: Principles and Paradigms. Vol. 162. Springer Nature, 2023.
  • Rajalakshmi Krishnamurthi, Adarsh Kumar, Sukhpal Singh Gill, eds. Autonomous and Connected Heavy Vehicle Technology, Academic Press, 2022.
  • Krishnamurthi, Rajalakshmi, Anand Nayyar, and Aboul Ella Hassanien, eds. Development and Future of Internet of Drones (IoD): Insights, Trends and Road Ahead. Springer, 2021.
  • Goyal, Mukta, Rajalakshmi Krishnamurthi, and Divakar Yadav, eds. E-learning Methodologies: Fundamentals, technologies and applications. Vol. 40. IET, 2021.

Journal Editorial

  • Krishnamurthi, Rajalakshmi,Rachna Jain, and Anand Nayyar. "Convergence of Big Data, Cloud and IoT for Real-time Applications." Recent Patents on Engineering, vol. 14, no. 4, pp: 520-520. 2020.  https://www.eurekaselect.com/article/111968
  • Anand Nayyar, Rachna Jain, Rajalakshmi Krishnamurthi, Noor Zaman, "Engineering: Big Data, Cloud Computing and IoT driven solutions for Real-Time Applications", SN Applied Sciences, Vol 2, Oct 2020.  https://link.springer.com/collections/cbceadijea.

Journals

  • Singh, Priya, and Rajalakshmi Krishnamurthi. "Empowering agricultural security with IoT and deep learning driven real-time alert systems." International Journal of Information Technology (2024): 1-9. [SCOPUS, SJR=0.74, H-Index=34].
  • Singh, Priya, and Rajalakshmi Krishnamurthi. "Enhanced Deep Learning Algorithm for Object Detection in the Agriculture Field." International Journal of Image, Graphics and Signal Processing 16, no. 3 (2024): 15-29.  [SCOPUS, SJR=0.32, H-Index=13].
  • Singh, Priya, and Rajalakshmi Krishnamurthi. "IoT-based real-time object detection system for crop protection and agriculture field security." Journal of Real-Time Image Processing 21, no. 4 (2024): 106.[SCIE, IF=2.9, SCOPUS, SJR=0.7, H-Index=43].
  • Ahlawat, Chanchal, and Rajalakshmi Krishnamurthi. "CRAQL: a novel clustering-based resource allocation using the Q-learning in fog environment." International Journal of Cloud Computing 13, no. 3 (2024): 243-266.[SCOPUS, SJR=0.17, H-Index=9].
  • Ahlawat, Chanchal, and Rajalakshmi Krishnamurthi. "HCDQN-ORA: a novel hybrid clustering and deep Q-network technique for dynamic user location-based optimal resource allocation in a fog environment." The Journal of Supercomputing 80, no. 8 (2024): 11014-11065..[SCIE, IF=2.5, SCOPUS, SJR=0.76, H-Index=81].
  • Singh, Priya, and Rajalakshmi Krishnamurthi. "AgriGuard: IoT-Powered Real-Time Object Detection and Alert System for Intelligent Surveillance." International Journal of Performability Engineering 20, no. 4 (2024).[SCOPUS, SJR=0.25, H-Index=28].]
  • Garg, Sherry, and Rajalakshmi Krishnamurthi. "Transfer learning: a cross domain LSTM way towards sustainable power predictive analytics." Multimedia Tools and Applications (2023): 1-27. [SCIE, IF=3, SCOPUS, SJR=0.2, H-Index=106].
  • Garg, Sherry, and Rajalakshmi Krishnamurthi. "A survey of long short term memory and its associated models in sustainable wind energy predictive analytics." Artificial Intelligence Review (2023): 1-50. SCIE (IF= 12), Scopus, H-Index=101
  • Singh, Priya, and Rajalakshmi Krishnamurthi. "Object detection using deep ensemble model for enhancing security towards sustainable agriculture." International Journal of Information Technology (2023): 1-14.  Scopus(SJR=0.44) ,H-Index=23
  • Garg, Sherry, and Rajalakshmi Krishnamurthi. "A CNN encoder decoder LSTM model for sustainable wind power predictive analytics." Sustainable Computing: Informatics and Systems 38 (2023): 100869. SCIE (IF= 4.5, Scopus) , H-Index=39
  • Kumar, Adarsh, Rajalakshmi Krishnamurthi, Gaurav Sharma, Saurabh Jain, P. Srikanth, Kriti Sharma, and Nagender Aneja. "Revolutionizing Modern Networks: Advances in AI, Machine Learning, and Blockchain for Quantum Satellites and UAV-based Communication."  arXiv:2303.11753 (2023).
  • Singh, Anuraj, Gaurav Sharma, Rajalakshmi Krishnamurthi, Adarsh Kumar, Surbhi Bhatia, and Arwa Mashat. "Cybersecurity for Battlefield of Things-A Comprehensive Review." Journal of Circuits, Systems and Computers (2022).SCI (IF= 1.278, Scopus)
  • Bathla, Gourav, Kishor Bhadane, Rahul Kumar Singh, Rajneesh Kumar, Rajanikanth Aluvalu, Rajalakshmi Krishnamurthi, Adarsh Kumar, R. N. Thakur, and Shakila Basheer. "Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities." Mobile Information Systems 2022 (2022).SCI (IF= 1.863, Scopus)
  • Garg, Sherry, and Rajalakshmi Krishnamurthi. "Powernet: A novel method for wind power predictive analytics using Powernet deep learning model." Journal of Renewable and Sustainable Energy 14, no. 4 (2022): 043301.SCI (IF= 2.847, Scopus)
  • Krishnamurthi, Rajalakshmi,Raghav Maheshwari, and Rishabh Gulati. "A Comprehensive Neural Network Model for Colorization and Captioning of Images Along with IoT Deployment." Wireless Personal Communications 121, no. 3 (2021): 2213-2231.SCI (IF= 2.017, Scopus)
  • Kumar, Adarsh, Rajalakshmi Krishnamurthi, Surbhi Bhatia, Keshav Kaushik, Neelu Jyothi Ahuja, Anand Nayyar, and Mehedi Masud. "Blended Learning Tools and Practices: A Comprehensive Analysis." IEEE ACCESS (2021): 85151-85197. SCI (IF= 3.367, Scopus)
  • Kumar, A, Rajalakshmi, K, Jain, S, Nayyar, A, Abouhawwash, M, “A novel heuristic simulation‐optimization method for critical infrastructure in smart transportation systems,” Int J Commun Syst. 2020; 33:e4397. https://doi.org/10.1002/dac.4397 [SCI, SCOPUS, IF=1.319, H-Index=44].
  • Rajalakshmi Krishnamurthi, RaghavMaheshwari, Rishabh Gulati, "Colorizing and Captioning Image Using Deep Learning Models via IoT Deployment Tools" International Journal of Information Retrieval Research,Volume 10, Issue 4, Article 3, 2020. [ESCI, Google Scholar].
  • Kumar, P. Srikanth, A. Nayyar, G. Sharma, R. Krishnamurthi and M. Alazab, "A Novel Simulated-Annealing Based Electric Bus System Design, Simulation, and Analysis for Dehradun Smart City," in IEEE Access, vol. 8, pp. 89395-89424, 2020, doi: 10.1109/ACCESS.2020.2990190. [SCI, SCOPUS, IF=4.098, H-Index=86].
  • Kumar, R. Krishnamurthi, A. Nayyar, K. Sharma, V. Grover and E. Hossain, "A Novel Smart Healthcare Design, Simulation, and Implementation Using Healthcare 4.0 Processes," in IEEE Access, vol. 8, pp. 118433-118471, 2020, doi: 10.1109/ACCESS.2020.3004790. [SCI, SCOPUS, IF=4.098, H-Index=86].
  • Kumar, Adarsh, Rajalakshmi Krishnamurthi, AnandNayyar, Ashish Kr Luhach, Mohammad S. Khan, and Anuraj Singh. "A novel Software-Defined Drone Network (SDDN)-based collision avoidance strategies for on-road traffic monitoring and management." Vehicular Communications (2020): 100313.
  • Krishnamurthi, Rajalakshmi, Adarsh Kumar, Dhanalekshmi Gopinathan, AnandNayyar, and Basit Qureshi. "An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques." Sensors, vol. 20, no. 21, pp.6076-6099,(2020).
  • Rajalakhmi Krishnamurthi,Adarsh Kumar, “Dynamic Load Balancing in Fog based IoT networks using Firefly Algorithm”, Future Generation Computing Systems (Under Review)
  • Krishnamurthi, R., Patan, R., &Gandomi, A. H., “Assistive pointer device for limb impaired people: A novel Frontier Point Method for hand movement recognition”, Future Generation Computer Systems, vol. 98, pp.650-659, 2019. [SCI, SCOPUS, IF=6.125, H-Index=105].
  • Rajalakshmi Krishnamurthi,NiyatiAggrawal, Lokendra Sharma, Diva Srivastava, Shivangi Sharma, “Importance of Feature Selection and Data Visualization towards Prediction of Breast Cancer”, Recent Patents on Computer Science, Bentham Science.vol. 12, no.1, pp. 1-12, 2019. [SCOPUS, H-Index=9]
  • MuktaGoyal, Rajalakshmi Krishnamurthi, “Intelligent Techniques for Prediction of Engineering Colleges after XII”, International Journal of Swarm Intelligence Research, vol. 11, no. 1(2), 2019.[ SCOPUS, H-Index=3]
  • Panda, A., Nayyar, A., Krishnamurthi, R., Sarkar, P., Palai, G. ,“Studies on coupling of optical power to graphene based nano waveguide at 1550 nm for application in photonic integrated circuit”, Optik.vol.185,pp.636-642, 2019.[SCI, SCOPUS, IF=1.191, H-Index=40].
  • Rajalakshmi Krishnamurthi, MuktaGoyal, “Dynamic Energy-saving Approaches in Mobile Cloud Computing: Issues, Challenges and Approaches" International Journal of Cloud Computing, 2019. [SCOPUS]
  • Rajalakshmi Krishnamurthi, MuktaGoyal, “Automatic Detection of Career Recommendation using Fuzzy Approach”, Journal of Information Technology Research, vol.11, no.4, pp:99-121, 2018.[SCOPUS , H-index=9]
  • Nagaraja, Hema, Krishna Kant, and K. Rajalakshmi, "Reconstruction of missing hourly precipitation data to increase training data set for ANN." International Journal of Agricultural and Environmental Information Systems (IJAEIS), vol. 9, no.1 pp. 62-84, 2018.[SCOPUS, ESCI, H-index=11]
  • Rajalakshmi, K.and Krishna Gopal, “Dual Homing based Link Level Failure Recovery in Mobile Access Network”, International Journal of Advanced Science and Technology, vol.79, pp.1-14 , June 2015.[SCOPUS]
  • Rajalakshmi, K.and Krishna Gopal, “A Survey on Cost Effective Survivable Network Design in Wireless Access Network”, International Journal of Computer Science and Engineering Survey, vol. 5, no. 1, pp 11-18, February 2014.
  • Rajalakshmi, K.,and HimaBindu, M., “On Cost-efficient Optimization of UMTS Access Subsystem using Extended Evolutionary Heuristic Algorithm”, International Journal of Mobile Network Design and Innovation, vol. 4, no. 3 pp. 130 - 137 , 2012.[SCOPUS,H-Index=10]
  • Rajalakshmi, K., Kumar, Prakash, and M. HimaBindu, “Hybridizing Iterative Local Search Algorithm for Assigning Cells to Switch in Mobile Network", International Journal of Soft Computing, vol. 5, No. 1, pp: 7-12, January 2010. [SCOPUS, H-Index=12]

International Conferences

  • Singh, Priya, and Rajalakshmi Krishnamurthi. "Chatbot-based android application towards security using FCM." In International Conference on Recent Developments in Cyber Security, pp. 485-498. Singapore: Springer Nature Singapore, 2023.
  • Priya Singh, Rajalakshmi Krishnamurthi, "Predictive Model for Object Classification and Detection using Deep Learning",14th International Conference on Contemporary Computing (IC3), Jaypee Institute of Information Technology (JIIT), Noida, India.2022.
  • Chanchal Ahlawat, Rajalakshmi Krishnamurthi, "Q-learning with Function Approximator for Clustering based Optimal Resource Allocation in Fog Environment",14th International Conference on Contemporary Computing (IC3), Jaypee Institute of Information Technology (JIIT), Noida, India.2022.
  • Gupta, Meenal, Ritik Goyal, Siddharth Shekhar, and Rajalakshmi Krishnamurthi. "Image Segmentation based Background Removal and Replacement." In 2021 Thirteenth International Conference on Contemporary Computing (IC3-2021), pp. 77-85. 2021.
  • R. Agrawal, M. Agarwal and R. Krishnamurthi, "Cognitive Number Plate Recognition using Machine Learning and Data Visualization Techniques," 2020 6th International Conference on Signal Processing and Communication (ICSC), Noida, India, 2020, pp. 101-107, doi: 10.1109/ICSC48311.2020.9182744.
  • Krishnamurthi, Rajalakshmi, and MuktaGoyal. "Energy Efficient Content Based Image Retrieval Recommender System in Mobile Cloud." International Conference on Recent Developments in Science, Engineering and Technology, pp. 186-203. Springer, Singapore, 2019.[SCOPUS].
  • Goyal, Mukta, Rajalakshmi Krishnamurthi, AparnaVarma, and IshitaKhare. "Classification of IRIS Recognition Based on Deep Learning Techniques." International Conference on Recent Developments in Science, Engineering and Technology, pp. 342-355. Springer, Singapore, 2019.[SCOPUS]
  • Rajalakshmi Krishnamurthi, RaghavMaheshwari, Rishabh Gulati, "Deploying Deep Learning Models via IOT Deployment Tools", 12th International Conference of Contemporary Computing (IC3), Noida, 2019.[SCOPUS]
  • JiteshPabla, VaibhavSharma,Rajalakshmi Krishnamurthi, "Developing a Secure Soldier Monitoring System using Internet of Things and Blockchain", 6th International Conference on Signal Processing and Communication (ICSC), Noida, 2019.[SCOPUS]
  • Rajalakshmi Krishnamurthi,Chandra Paul, RaghavMaheswari, “Developing a IoT based Prototype for Smart Restaurant System”, 2nd International Conference on Communication & Computational Technologies (ICCCT), Kota, 2019.[SCOPUS]
  • Krishnamurthi R.,Goyal M. , “Hybrid Neuro-fuzzy Method for Data Analysis of Brain Activity Using EEG Signals”, In: Wang J., Reddy G., Prasad V., Reddy V. (eds) Soft Computing and Signal Processing. Advances in Intelligent Systems and Computing, vol 900. Springer, Singapore, pp.165-173, 2019. [SCOPUS]
  • R. Krishnamurthi, "Teaching Methodology for IoT Workshop Course Using Node-RED," 2018 Eleventh International Conference on Contemporary Computing (IC3), Noida, pp. 1-3 , 2018. [SCOPUS]
  • Luv Sharma, Jitendra Singh, Rajalakshmi Krishnamurthi, “Trip-O-Plan: A Comprehensive Automatic Task Rescheduling based Mobile Application”, IcInPro, 2018. [SCOPUS]
  • R. Krishnamurthiand M. Goyal, "Optimization of Capacity Allocation Problem in 4G LTE Mobile Networks," 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Gorakhpur, pp. 1-5, 2018. [SCOPUS]
  • Rajalakshmi Krishnamurthi,MuktaGoyal ,“Load Optimization in Femtocell using Iterative Local Search Heuristics in an Enterprise Environment”, International Conference on Smart Systems, Innovation and Computing (Springer), Jaipur, India, pp. 575-584, 2017. [SCOPUS]
  • K.Rajalakshmi,MuktaGoyal , “Location Based Services: Current State of Art and Future Prospects”, International Conference on Optical & Wireless Technologies (Springer), Jaipur, India, March 18-19, pp. 625-632, 2017. [SCOPUS]
  • Kumar, M. Goyal, K. Rajalakshmi and A. Aggarwal, "A simulation annealing based anti-collision protocol for RFID tag identification," 2016 9th International Conference on Contemporary Computing (IEEE), Noida, India, pp. 1-7, 2016. [SCOPUS]
  • S. Agarwal, M. Goyal, A. Kumar``K. Rajalakshmi, "Intuitionistic fuzzy ant colony optimization for course sequencing in E-learning," 2016 9th International Conference on Contemporary Computing (IEEE), Noida, India, pp. 1-6 2016. [SCOPUS]
  • Mathur, T. Saxena, R. Krishnamurthi, "Generating Subtitles Automatically Using Audio Extraction and Speech Recognition,"IEEE International Conference on Computational Intelligence & Communication Tech., India, pp.621-626, 2015. [SCOPUS]
  • Rajalakshmi, K, and Krishna Gopal, “Effective Optimization and Fault Tolerance using Multi-homed Link Assignment in Cellular Access Network”, 6th International Conference on Contemporary Computing (Springer), August 2013. [SCOPUS]
  • Badera P., Bhardwaj A., Rajalakshmi K. (2012) Range Grouping for Routing in Dynamic Networks. In: Parashar M., Kaushik D., Rana O.F., Samtaney R., Yang Y., Zomaya A. (eds) Contemporary Computing. IC3 2012. Communications in Computer and Information Science, vol 306. Springer, Berlin, Heidelberg [SCOPUS].
  • Bhardwaj A, Badera P, Rajalakshmi K. “Fault tolerant range grouping routing in Dynamic Networks”, In International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, pp. 218-227. Springer Berlin Heidelberg, Jan 2013. [SCOPUS].
  • Rajalakshmi, K,HimaBindu, M., "An Overview of Solution Approaches for Assignment Problem in Wireless Telecommunication Network", International Conference on Advances in Information Technology and Mobile Communication, CCIS, Springer, Volume 147, Part 3, pp. 407-410, April 2011. [SCOPUS]
  • Rajalakshmi Krishnamurthi,Prakash Kumar ,Hima M. Bindu, “Solving Base Station Subsystem Assignment Problem in Mobile Communication Networks Using Hybridized Heuristic Algorithm”, 6th International Conference on Intelligent Computing, Volume 93, Part 19, 334-342, 2010. [SCOPUS]
  • K. Rajalakshmi,Prakash Kumar, Hima M. Bindu, “Targeting Cells to switch assignment of Cellular mobile network using huristic algorithm”, 14th WSEAS international conference on Computers, vol. 1, pp: 75-80, USA, July 23-25, 2010.[SCOPUS]
  • Rajalakshmi, K., "Solving Assignment problem of Cellular Mobile Network using Iterative Local Search Algorithm", International Conference and Workshop on Emerging Trends in Technology, ACM Press, pp. 185-187, Feb 2010. [SCOPUS].

Book Chapters

  • Krishnamurthi, Rajalakshmi,Adarsh Kumar, Sukhpal Singh Gill, and Rajkumar Buyya. "Serverless Computing: New Trends and Research Directions." Serverless Computing: Principles and Paradigms (2023): 1-13.              
  • Krishnamurthi Rajalakshmi, Kumar Adarsh, Gill Sukhpal Singh, "Autonomous and Connected Heavy Vehicle Technology", Academic Press, 2022.
  • Garg, Sherry, and Rajalakshmi Krishnamurthi. "Smart Health Analytics for Sustainable Energy Monitoring Using IoT Data Analytics." In Advanced Computational Techniques for Sustainable Computing, pp. 107-121. Chapman and Hall/CRC, 2022.
  • Krishnamurthi, Rajalakshmi,Arpita Jadhav Bhatt, and Neetu Sardana. "A Comprehensive Overview of Quantum Internet: Architecture, Protocol and Challenges." Quantum and Blockchain for Modern Computing Systems: Vision and Advancements (2022): 223-247.
  • Jain, Saurabh, Adarsh Kumar, Keshav Kaushik, and Rajalakshmi Krishnamurthi. "Autonomous driving systems and experiences: A comprehensive survey." Autonomous and Connected Heavy Vehicle Technology (2022): 65-80.
  • Krishnamurthi, Rajalakshmi, Dhanalekshmi Gopinathan, and Adarsh Kumar. "Using wavelet transformation for acoustic signal processing in heavy vehicle detection and classification." In Autonomous and Connected Heavy Vehicle Technology, pp. 199-209. Academic Press, 2022.
  • Verma, Suyash, Akash Soni, Vaibhav Mishra, Vatsal Gupta, Rajalakshmi Krishnamurthi, and Adarsh Kumar. "Smart automated system for classification of emergency heavy vehicles and traffic light controlling." In Autonomous and Connected Heavy Vehicle Technology, pp. 245-262. Academic Press, 2022.
  • Singh, Anuraj, Priyanka Chawla, Rajalakshmi Krishnamurthi, and Adarsh Kumar. "Cybercrimes and defense approaches in vehicular networks." In Autonomous and Connected Heavy Vehicle Technology, pp. 37-63. Academic Press, 2022.
  • Sharma, Kriti, Usman Naeem, Rajalakshmi Krishnamurthi, and Adarsh Kumar. "Lightweight and heavyweight technologies for autonomous vehicles: A survey." In Autonomous and Connected Heavy Vehicle Technology, pp. 3-36. Academic Press, 2022.
  • Gupta, Naman, Aayush Tiwari, Kushagra Pathak, Rajalakshmi Krishnamurthi, and Adarsh Kumar. "Pulse oximeter-based machine learning models for sleep apnea detection in heavy vehicle drivers." In Autonomous and Connected Heavy Vehicle Technology, pp. 183-198. Academic Press, 2022.
  • Ahlawat, Chanchal, and Rajalakshmi Krishnamurthi. "Internet of Things-based smart helmet to detect possible COVID-19 infections." In Cyber-Physical Systems, pp. 15-36. Academic Press, 2022.
  • Nagaraja, Hema, Krishna Kant, and K. Rajalakshmi. "Reconstruction of missing hourly precipitation data to increase training data set for ANN." In Research Anthology on Artificial Neural Network Applications, pp. 242-265. IGI Global, 2022.
  • Krishnamurthi, Rajalakshmi, and Dhanalekshmi Gopinathan. "Wavelet Transformation and Machine Learning Techniques for Digital Signal Analysis in IoT Systems." In Machine Learning in Signal Processing, pp. 339-359. Chapman and Hall/CRC, 2021.
  • Kumar, Adarsh, Saurabh Jain, Keshav Kaushik, and Rajalakshmi Krishnamurthi. "Patient-centric smart health-care systems for handling COVID-19 variants and future pandemics: technological review, research challenges, and future directions." The Internet of Medical Things: Enabling Technologies and Emerging Applications (2021): 181.
  • Krishnamurthi, Rajalakshmi,and Dhanalekshmi Gopinathan. "E-learning through virtual laboratory environment: developing of IoT workshop course based on Node-RED." E-learning Methodologies: Fundamentals, Technologies and Applications 40 (2021): 197.
  • Krishnamurthi, Rajalakshmi, Dhanalekshmi Gopinathan, and Adarsh Kumar. "Wearable devices and COVID-19: state of the art, framework, and challenges." Emerging Technologies for Battling Covid-19 (2021): 157-180.
  • Kumar, Adarsh, Kriti Sharma, Harvinder Singh, P. Srikanth, Rajalakshmi Krishnamurthi, and Anand Nayyar. "Drone-based social distancing, sanitization, inspection, monitoring, and control room for COVID-19." In Artificial Intelligence and Machine Learning for COVID-19, pp. 153-173. Springer, Cham, 2021.
  • Sharma, Kriti, Harvinder Singh, Deepak Kumar Sharma, Adarsh Kumar, Anand Nayyar, and Rajalakshmi Krishnamurthi. "Dynamic models and control techniques for drone delivery of medications and other healthcare items in COVID-19 hotspots." In Emerging Technologies for Battling Covid-19, pp. 1-34. Springer, Cham, 2021.
  • Krishnamurthi, Rajalakshmi,and Dhanalekshmi Gopinathan. "A Comprehensive Overview of Blockchain-Driven IoT applications." Blockchain, Internet of Things, and Artificial Intelligence (2021): 85-107.
  • Krishnamurthi, Rajalakshmi,Dhanalekshmi Gopinathan, and AnandNayyar. "A Comprehensive Overview of Fog Data Processing and Analytics for Healthcare 4.0." In Fog Computing for Healthcare 4.0 Environments, pp. 103-129, 2020, Springer, Cham.
  • Krishnamurthi, Rajalakshmi,and Parmeet Kaur. "Big Data Storage Systems for IoT–Perspectives and Challenges." The Internet of Things and Big Data Analytics, pp. 173-192. Auerbach Publications, 2020.
  • Beena, T. Lucia Agnes, D. Sumathi, Rajalakshmi Krishnamurthi, and PrabhaSelvaraj. "Big Data Management Solutions for IoT: Case Study–Connected Car." The Internet of Things and Big Data Analytics, pp. 301-318. Auerbach Publications, 2020.
  • Maheshwari, Raghav, andK. Rajalakshmi. "A Comparative Study of Deployment Tools from IoT Perspective." Advances in Computational Intelligence and Communication Technology, pp. 293-306. Springer, Singapore, 2020.
  • T Poongodi, Rajalakshmi Krishnamurthi, R Indrakumari, P Suresh, BalamuruganBalusamy, “Wearable Devices and IoT”, A Handbook of Internet of Things in Biomedical and Cyber Physical System, pp: 245-273, 2020.
  • Rajalakshmi Krishnamurthi, G Dhanalekshmi, “A Comprehensive Overview of IoT-Based Green Buildings: Issues, Challenges, and Opportunities”, Green Building Management and Smart Automation,pp: 111-127, 2020.
  • Rajalakshmi Krishnamurthi,Tuhina Shree, “A Brief Analysis of Blockchain Algorithms and Its Challenges”,Architectures and Frameworks for Developing and Applying Blockchain Technology, pp: 69-85, 2019.
  • Rajalakshmi Krishnamurthi,"Swarm Intelligence and Evolutionary Algorithms for Heart Disease Diagnosis",Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development, 2019.
  • Rajalakshmi Krishnamurthi,MuktaGoyal, “Enabling Technologies for IoT: Issues, Challenges and Opportunities”, Handbook of Research on Cloud Computing and Big Data Applications in IoT, pp: 243-270, 2019.
  • Bandana Mahapatra1, Rajalakshmi Krishnamurthi,AnandNayyar, "Healthcare models and algorithms for privacy and security in healthcare records", Security and Privacy of Electronic Healthcare Records: Concepts, paradigms and solutions,2019.
  • Rajalakshmi Krishnamurthi,AnandNayyar, Arun Solanki, “Innovation Opportunities through Internet of Things (IoT) for Smart Cities”,Emerging Green and Smart Technologies for Smart Cities, 2019.
  • Rajalakshmi Krishnamurthi, Adarsh Kumar, "Modeling and Simulation of Industry 4.0", A Roadmap to Industry 4.0: Smart Production, Sharp Business and Sustainable Development, 2019.
  • MuktaGoyal, Rajalakshmi Krishnamurthi, “An Enhanced Integration of Voice, Face and Signature based Authentication System for Learning Content Management System”, Biometric Authentication in Online Learning Environments, pp: 70-96, 2019.
  • Rajalakshmi Krishnamurthi,“Cloud Computing- Simulation”, Handbook of Cloud Computing, pp. 265-295, 2019.
  • MuktaGoyal, Rajalakshmi Krishnamurthi, “Pedagogical Software Agents for Personalized E-Learning Using Soft Computing Techniques” Nature-Inspired Algorithms for Big Data Frameworks, pp. 319-338, 2019.
  • Mukta Goyal, K. Rajalakshmi, “Optimizing Student Engagement in Online Learning Environments”, Intuitionistic Fuzzy Logic in Student Modeling, pp.671-702,2018.
  • Mukta Goyal, K. Rajalakshmi, “Personalization of Test Sheet Based on Bloom’s Taxonomy in E-Learning System Using Genetic Algorithm”, Recent Findings in Intelligent Computing Techniques, pp. 409-414, 2018.
  • Krishnamurthi R.,Kumar P., Bindu H.M., “Solving Base Station Subsystem Assignment Problem in Mobile Communication Networks Using Hybridized Heuristic Algorithm”, Advanced Intelligent Computing Theories and Applications, vol 93, pp. 185-187, 2010.

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