Associate Professor at SRM Institute of Science and Technology, India
Dr. K. Kalaiselvi is a seasoned academician and accomplished researcher with over 20 years of teaching and research experience in the field of Computer Science and Engineering. Currently serving as an Associate Professor at SRM Institute of Science and Technology, Chennai, she has consistently contributed to the advancement of wireless sensor networks and wireless body area networks. Her research portfolio includes more than 52 Scopus-indexed publications, 10 patents, and numerous international and national conference presentations. She is well-known for her leadership roles within academia, having served as a project coordinator, NBA coordinator, and industrial visit organizer, among others. Dr. Kalaiselvi has also demonstrated a strong commitment to mentoring, having guided several innovative student projects in advanced network protocols and security. Her contributions to applied research, academic excellence, and technical mentorship make her a highly respected figure in her field and a valuable asset to any institution or collaborative research initiative.
Professional Profile
Education🎓
Dr. K. Kalaiselvi holds a Ph.D. in Computer Science and Engineering from Anna University, Chennai, awarded in 2020, with her doctoral work focused on Wireless Body Area Networks (WBANs). Her postgraduate education includes a Master of Engineering (M.E.) in Computer Science and Engineering from Annamalai University, Chidambaram, where she graduated with distinction and an outstanding OGPA of 8.62 in the academic year 2003–2005. She earned her Bachelor of Engineering (B.E.) degree in Computer Science and Engineering, also from Annamalai University, between 1999 and 2003, with a commendable aggregate of 71%. Her educational background lays a solid foundation in both theoretical principles and applied computer science, which she has effectively translated into her teaching, research, and innovation. Throughout her academic journey, Dr. Kalaiselvi has demonstrated a keen interest in advanced computing technologies and has consistently worked on enhancing her domain knowledge through various certifications and technical training programs.
Professional Experience📝
Dr. K. Kalaiselvi brings with her a rich professional experience spanning over two decades in higher education. She is presently an Associate Professor at SRM Institute of Science and Technology, Chennai, where she has been instrumental in academic instruction, curriculum development, and research mentorship. Previously, she served for nine years at Saveetha Engineering College, Chennai, where she contributed significantly to student development and institutional initiatives. She also held academic positions at KSR College of Technology, Tiruchengode, and Kongu Engineering College, Perundurai, gaining diverse exposure across reputed engineering institutions. Over the years, she has taught a wide range of undergraduate and postgraduate courses, including Data Structures, Operating Systems, DBMS, Java, and Wireless Sensor Networks. Apart from teaching, she has actively participated in academic administration and event coordination, earning recognition for her leadership in organizing technical events, coordinating projects, and contributing to accreditation efforts such as NBA. Her experience reflects a balanced blend of academic rigor and organizational excellence.
Research Interest🔎
Dr. K. Kalaiselvi’s research interests lie predominantly in the domains of Wireless Sensor Networks (WSN), Wireless Body Area Networks (WBAN), Computer Networks, and Data Structures. Her doctoral work explored clustering algorithms aimed at enhancing energy efficiency within WBANs—a critical concern in healthcare-related sensor deployments. She is particularly focused on developing intelligent algorithms for energy optimization, secure data transmission, and robust communication in sensor-based environments. In addition, she has contributed to research in healthcare informatics, XML schema design, and spatio-temporal data mining. Her interest in applied research is evident in her paper presentations at IEEE conferences and her proposal to DST under the Women Scientist Scheme on real-time health monitoring systems. Dr. Kalaiselvi also explores interdisciplinary applications of data mining and network algorithms in biomedical engineering. Through continuous learning and active participation in technical workshops and conferences, she stays abreast of emerging trends in embedded systems, IoT, and mobile computing networks.
Award and Honor🏆
Dr. K. Kalaiselvi has received several recognitions and honors that underscore her excellence in academic and research endeavors. She has published over 52 research papers indexed in Scopus and has been an active participant in many prestigious IEEE and international conferences, presenting innovative solutions in the field of wireless sensor networks. One of her major recognitions includes funding support from CSIR to organize a seminar on “Research Challenges in Grid Computing,” which reflects her capability to lead academic events of national relevance. She has submitted a proposal under the DST’s Women Young Scientist scheme, emphasizing her proactive approach toward impactful societal research. Dr. Kalaiselvi has also served as a judge and mentor in various inter-collegiate events and has led numerous institutional initiatives such as NBA coordination and curriculum development. Her patented innovations and commitment to both student success and institutional growth further exemplify her standing as a leading researcher and educator in her domain.
Research Skill🔬
Dr. K. Kalaiselvi possesses a comprehensive set of research skills that contribute to her distinction as a forward-thinking academic. She is proficient in algorithm design, data mining, and simulation tools for evaluating wireless network performance. Her expertise spans sensor network protocols, energy-efficient clustering techniques, and healthcare data analysis. She demonstrates strong technical writing skills, evident in her prolific publication record in Scopus-indexed journals and conferences. Dr. Kalaiselvi is skilled in using tools like NS2, MATLAB, and other network simulators, which support her experiments in wireless communication systems. She is also experienced in patent drafting and proposal writing, having authored multiple patents and submitted national-level funding proposals. Beyond technical competencies, she exhibits research leadership by mentoring student projects and facilitating research workshops. Her ability to combine theoretical knowledge with practical implementation equips her to address real-world problems in healthcare monitoring, embedded systems, and smart sensor applications with innovation and precision.
Conclusion💡
Dr. K. Kalaiselvi is a highly suitable candidate for the Best Researcher Award. Her prolific publication record, impactful patents, long-standing academic contributions, and dedication to applied research in wireless technologies make her a strong contender. With minor enhancements in global outreach, citation impact, and research funding, she is poised for even higher recognition in the academic research landscape.
Publications Top Noted✍
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Title: RETRACTED ARTICLE: Performance Analysis of Malicious and Link Failure Detection System Using Deep Learning Methodology
Authors: K. Kalaiselvi; L. Vanitha; K. Deepa Thilak; T. Rajesh Kumar; S. Saranya; K. Kumaresan
Year: 2022
Citation: DOI: 10.1007/s11277-021-08790-9
Note: Published in Wireless Personal Communications
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Title: Dynamic convolutional neural network based e‐waste management and optimized collection planning
Authors: C. Jenifa Latha; K. Kalaiselvi; S. Ramanarayan; R. Srivel; S. Vani; T. V. M. Sairam
Year: 2022
Citation: DOI: 10.1002/cpe.6941
Note: Published in Concurrency and Computation: Practice and Experience
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Title: An adaptive predictor with Kalman filter based energy efficient protocol for WSN
Authors: P. Tamil Selvan; S. Shaul Hammed; K. Kalaiselvi
Year: 2019
Citation: DOI: 10.5373/JARDCS/V11SP12/20193302
Note: Published in Journal of Advanced Research in Dynamical and Control Systems
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Title: Detection of faults in flying wireless sensor networks using adaptive reinforcement learning
Authors: G. Kiruthiga; K. Kalaiselvi; R.S. Shudapreyaa; V. Dineshbabu
Year: 2019
Citation: EID: 2-s2.0-85069902688
Note: Published in International Journal of Recent Technology and Engineering
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Title: Genetic algorithm based sensor node classifications in wireless body area networks (WBAN)
Authors: K. Kalaiselvi; G.R. Suresh; V. Ravi
Year: 2019
Citation: DOI: 10.1007/s10586-018-1770-6
Note: Published in Cluster Computing
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Title: Distance based clustering algorithm for energy efficiency in wireless sensor networks
Authors: K. Kalaiselvi; G.R. Suresh
Year: 2014
Citation: DOI: 10.4028/www.scientific.net/AMM.626.20
Note: Published in Applied Mechanics and Materials
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Title: Survey on data aggregation based algorithms for energy efficiency in wireless sensor networks
Authors: K. Kalaiselvi; G.R. Suresh
Year: 2014
Citation: EID: 2-s2.0-84939553673
Note: Published in International Journal of Applied Engineering Research