Herlin L T | IoT & Wireless Sensor Networks | Best Researcher Award

Posted on by Computer Vision Awards

Dr . Herlin L T | IoT & Wireless Sensor Networks | Best Researcher Award

Assistant Professor at Mar Ephraem College of Engineering and Technology, India

Dr. L.T. Herlin is a dedicated academician and researcher with over 15 years of experience in teaching, mentoring, and scholarly research in the field of Computer Science and Engineering. Currently serving as an Assistant Professor at Mar Ephraem College of Engineering and Technology, Tamil Nadu, she combines deep technical knowledge with innovative teaching practices. Her research focuses on cutting-edge technologies including Wireless Sensor Networks, the Internet of Things (IoT), and Machine Learning. She has published extensively in reputed journals and presented papers at numerous national and international conferences. Known for her strong organizational skills, she has successfully conducted technical workshops, faculty development programs, and seminars, contributing significantly to academic growth and peer learning. As a life member of the Indian Society of Systems for Science and Engineering (ISSE), she remains actively involved in advancing research and fostering a vibrant academic community. Her holistic approach makes her a valuable contributor to education and innovation.

Professional Profile 

Education🎓 

Dr. L.T. Herlin holds a Ph.D. in Computer Science and Engineering from Anna University, Chennai, awarded in 2024, specializing in wireless and IoT-based systems. She completed her M.Tech in Computer and Information Technology from Manonmaniam Sundaranar University, Tirunelveli, in 2010, graduating with first class and distinction, securing 77%. Her undergraduate education includes a B.Tech in Information Technology from CSI Institute of Technology, Thovalai, in 2007, where she achieved first class with distinction and an impressive score of 84%. Prior to her higher education, she displayed academic excellence with 88.83% in her HSC and 88.8% in Matriculation from Christuraja Matriculation Higher Secondary School, Marthandam. Her consistent academic performance reflects a strong foundation in analytical thinking, technical expertise, and problem-solving. With a combination of rigorous academic training and applied research, she has built a robust educational background aligned with her career in advanced computing and academic mentorship.

Professional Experience📝

Dr. L.T. Herlin brings over 15 years of experience in academia, with a proven track record in teaching, mentoring, and institutional development. She is currently serving as an Assistant Professor at Mar Ephraem College of Engineering and Technology, Elavuvilai, since August 2012. Prior to this, she worked as a Lecturer at Narayanaguru College of Engineering from 2011 to 2012 and at Vins Christian College of Engineering from 2007 to 2008 and again from 2010 to 2011. Throughout her career, she has delivered lectures across various core computer science subjects while guiding students in academic projects and research initiatives. She has organized and participated in numerous workshops, symposiums, and FDPs, reflecting her dedication to continuous learning and teaching excellence. Her long-standing association with engineering education has empowered her to impact hundreds of students and contribute meaningfully to curriculum development and academic governance within her institution.

Research Interest🔎

Dr. L.T. Herlin’s research interests lie at the intersection of intelligent systems and networked environments. Her primary areas of focus include Wireless Sensor Networks (WSNs), where she explores energy-efficient and fault-tolerant routing mechanisms, and the Internet of Things (IoT), particularly in precision agriculture and smart environments. She is also passionate about Machine Learning and its integration with sensor networks for real-time data analytics and decision-making. Her recent work includes developing a sensory system for soil macronutrient analysis and publishing algorithms using metaheuristics for agricultural applications. She actively seeks to solve real-world problems using computational intelligence, with a vision to contribute to sustainable and smart technological solutions. Her multidisciplinary approach brings together communication technologies, embedded systems, and AI for impactful research. Through her work, she aims to bridge the gap between theoretical models and practical deployment, aligning her research with industry needs and societal benefits.

Award and Honor🏆

Dr. L.T. Herlin has earned recognition through multiple academic and professional accomplishments. Notably, she has served as a mentor for a funded IEDC project titled Cling – A Mobile App for Locating Tree Climbers Nearby, which reflects her commitment to fostering student innovation and social impact. Her scholarly work has been published in reputed international journals, including Cybernetics and Systems, and presented at prestigious conferences such as AICERA/ICIS and ICCIDT. She has also been a resource person for seminars on career development and technical workshops. As a life member of the Indian Society of Systems for Science and Engineering (ISSE), she continues to actively engage with the research community. She has not only attended but also organized several faculty development programs and national-level symposiums. These contributions and recognitions collectively highlight her dedication to academic excellence, knowledge dissemination, and research-driven community engagement.

Research Skill🔬

Dr. L.T. Herlin possesses a robust set of research skills that span across data analysis, algorithm design, wireless network simulation, and sensor-based system development. Her Ph.D. work and subsequent publications demonstrate proficiency in developing energy-aware and fault-tolerant protocols using metaheuristic algorithms such as the Serial Exponential Newton method. She has applied these skills in practical contexts like agriculture, environmental monitoring, and health analytics. Her familiarity with tools such as MATLAB, Python, and simulation platforms supports the technical depth of her work. She is also skilled in conducting empirical research, literature reviews, and comparative performance analysis. Additionally, she has guided undergraduate and postgraduate students in research and prototype development. Her ability to combine theoretical knowledge with applied research ensures her projects are both innovative and practically viable. Her skills are further reflected in her successful participation and contribution to FDPs, workshops, and interdisciplinary collaborations that strengthen her capabilities as a researcher and mentor.

Conclusion💡

Dr. L.T. Herlin exhibits a well-rounded academic profile, characterized by strong research, teaching, mentoring, and community engagement. Her focus areas—Wireless Sensor Networks, IoT, and Machine Learning—are current, impactful, and technologically significant. With a recent Ph.D. and a growing body of scholarly work, she clearly aligns with the objectives of the Best Researcher Award.

Publications Top Noted✍

  • Title: A New Modified Fast Fractal Image Compression Algorithm in DCT Domain
    Authors: J.S. Jiji, L.T. Herlin, A.G. Singerji, S.W. Pillai
    Cited by: 3
    Year: 2017

  • Title: An Energy-Aware and Fault-Tolerant WSN Routing Approach Using Serial Exponential Newton Metaheuristic Algorithm for Agricultural Lands
    Authors: L.T. Herlin
    Cited by: 2
    Year: 2023

  • Title: Retinal Blood Vessel Extraction using ISODATA Clustering and Morphological Operations
    Authors: S.W. Pillai, L.T. Herlin, A.G. Singerji
    Cited by: 2
    Year: 2017

  • Title: An IoT based Portable Sensory System for the Accurate Analysis of Soil Macronutrients using Photometry
    Authors: C.T. Lincy, J. Jalbin, L.T. Herlin
    Year: 2023

  • Title: A Duty-Cycle based Cooperative Clustering Protocol for Energy Harvesting WSN
    Authors: Prof. Dr. A. Lenin Fred, J. Janila, L.T. Herlin, Austy B
    Year: 2022

  • Title: Optimizing Precision Agriculture with LoRa-Enabled Wireless Sensor Networks for Smart Irrigation and Fertilization Management
    Authors: L.T. Herlin, L.L. Laudis, J. Jalbin

kalaiselvi kaliannan | Wireless sensor networks | Best Researcher Award

Posted on by Computer Vision Awards

Dr . kalaiselvi kaliannan | Wireless sensor networks | Best Researcher Award

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✍

  • Title: An automation query expansion strategy for information retrieval by using fuzzy based grasshopper optimization algorithm on medical datasets
    Authors: R. Srivel; K. Kalaiselvi; S. Shanthi; Uma Perumal
    Year: 2023
    Citation: DOI: 10.1002/cpe.7418
    Note: Published in Concurrency and Computation: Practice and Experience

  • 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

  • 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

  • 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

  • Title: An efficient approach for the detection of link failures in WBAN system for health care applications
    Authors: K. Kalaiselvi; G.R. Suresh; V. Ravi
    Year: 2019
    Citation: DOI: 10.1002/dac.4112
    Note: Published in International Journal of Communication Systems

  • 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

  • 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

  • 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

  • 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

  • Title: Improved clustering protocol for energy efficiency algorithms in wireless sensor networks
    Authors: K. Kalaiselvi; G.R. Suresh
    Year: 2013
    Citation: DOI: 10.1109/ICCCNT.2013.6726812
    Note: Presented at 4th International Conference on Computing, Communications and Networking Technologies (ICCCNT)

 

Abdul Wasay | Wireless Sensor Networks | Best Researcher Award

Posted on by Computer Vision Awards

Dr . Abdul Wasay | Wireless Sensor Networks | Best Researcher Award

Asst Professor at DCET, India

Mr. H. Abdul Wasay is a committed academician and researcher in the field of Electronics and Communication Engineering, with over 14 years of teaching and mentoring experience. Currently serving at Deccan College of Engineering and Technology, Hyderabad, he has contributed extensively to undergraduate and postgraduate education, academic development, and department-level leadership roles. He is presently pursuing a Ph.D. in Electronics and Communication Engineering with a focus on Wireless Sensor Networks, particularly on bio-inspired optimization algorithms. With a solid foundation in Communication and Signal Processing, he has published multiple research papers in Scopus-indexed and SCI journals and presented his work at IEEE international conferences. His approach to education is complemented by active participation in institutional development activities such as NBA accreditation, examination coordination, and student guidance. Mr. Wasay’s balanced engagement in research, teaching, and academic service highlights his dedication to both knowledge creation and dissemination.

Professional Profile 

Education🎓

Mr. Abdul Wasay has pursued a robust academic journey rooted in Electronics and Communication Engineering. He is currently pursuing a Ph.D. in Electronics and Communication Engineering from Sathyabama University, Chennai, with a research focus on Wireless Sensor Networks using bio-inspired algorithms. He holds a Master of Technology degree in Communication and Signal Processing from Sri Krishnadevaraya University, Anantapur, completed in 2011. His undergraduate studies were completed in 2009, earning a Bachelor of Technology degree in Electronics and Communication Engineering from Jawaharlal Nehru Technological University, Anantapur. His early academic credentials include intermediate education from the Board of Intermediate Education and secondary education (S.S.C.) from the Board of Secondary Education, both from Hyderabad. His academic foundation is strengthened by a combination of theoretical knowledge and hands-on experience, which has shaped his ability to teach complex engineering subjects and guide student research effectively.

Professional Experience📝

Mr. Wasay brings over 14 years of teaching experience at the undergraduate and postgraduate levels in the domain of Electronics and Communication Engineering. Currently serving at Deccan College of Engineering & Technology, Hyderabad, he has handled various core subjects such as Analog and Digital Communication, Electronic Devices and Circuits, Instrumentation Engineering, and Digital Electronics. He has also supervised laboratory sessions in Microwave Engineering, Microprocessors, and Basic Electronics. Beyond teaching, he has taken on key administrative and academic responsibilities, including department in-charge for NBA accreditation, university exam coordinator, group tutor, and member of the timetable committee. He has guided several student projects at both UG and PG levels, fostering research-based learning. His roles reflect not only academic excellence but also leadership, mentorship, and organizational capabilities. His dedication to creating a meaningful learning environment and developing technical competence among students has significantly enriched the institution’s academic reputation.

Research Interest🔎

Mr. Wasay’s research interests lie primarily in the area of Wireless Sensor Networks (WSNs), with a special focus on bio-inspired optimization algorithms. His Ph.D. research explores sensor deployment, coverage estimation, energy efficiency, and reliability using advanced algorithms like the Harris Hawk Optimization (HHO) technique. He is particularly interested in optimizing network performance by improving coverage and minimizing energy consumption, which are critical aspects in the design and operation of modern sensor-based systems. His research extends to addressing security challenges and resource allocation problems in WSNs, contributing towards sustainable and scalable IoT frameworks. Through the development and testing of hybrid optimization models, he aims to enhance the accuracy and efficiency of WSN deployments for real-world applications such as environmental monitoring and smart infrastructure. His work also involves simulation-based evaluations and algorithmic analysis, positioning him at the intersection of wireless communication, artificial intelligence, and embedded systems.

Award and Honor🏆

While Mr. Wasay has not listed formal awards or honors in the traditional sense, his recognition comes from his academic contributions and institutional responsibilities. He has earned professional credibility by publishing research in Scopus and SCI-indexed journals and presenting at IEEE international conferences, which signifies the value and acceptance of his work within the global research community. His selection as the Department NBA Accreditation In-charge is a mark of trust in his leadership and organizational capabilities. In addition, his role as University Examination Coordinator and active participation in student mentoring reflect his standing as a respected faculty member. Being entrusted with these key academic and administrative duties serves as a testament to his dedication, competence, and positive impact on the academic environment. Continued publication in high-quality journals and further conference participation are likely to lead to formal recognitions and research awards in the near future.

Research Skill🔬

Mr. Wasay possesses a well-rounded set of research skills, particularly in the areas of wireless sensor network optimization, algorithm development, simulation modeling, and academic writing. He has demonstrated proficiency in applying bio-inspired algorithms like the Harris Hawk Optimization (HHO) for sensor deployment and energy-efficient data transmission. His research work reflects a strong understanding of mathematical modeling, algorithm analysis, and system simulation for communication systems. He has successfully published in reputable journals and conferences, indicating his ability to conduct independent research, synthesize information, and present findings in a scholarly manner. Additionally, his skills extend to technical documentation, project supervision, and collaborative research, which are essential for academic growth and interdisciplinary engagement. His continued publication efforts and Ph.D. progress show his ability to integrate theory with application, conduct literature reviews, and identify impactful research problems. These capabilities make him a valuable contributor to both academic research and technological innovation.

Conclusion💡

Mr. H. Abdul Wasay is a dedicated academician and emerging researcher with a strong foundation in wireless sensor networks and bio-inspired optimization. His teaching experience, ongoing Ph.D., and multiple indexed publications qualify him as a strong candidate for the Best Researcher Award—especially at the institutional or early-career level.

However, for a top-tier or national-level research recognition, it is advisable to:

  • Publish more in high-impact SCI/SCIE journals.

  • Enhance research diversity and impact.

  • Seek grants, collaborations, and increase academic visibility through talks, workshops, and editorial contributions.

Publications Top Noted✍

  1. Title: Estimation of Coverage and Energy in Bio Inspired Wireless Sensors Using Harris Hawk Algorithm

    • Authors: H. Abdul Wasay, Kavi Priya

    • Year: 2023

    • Journal: Indonesian Journal of Electrical Engineering and Computer Science

    • DOI: 10.11591/ijeecs.v30.i3.pp1813-1820

    • ISSN: 2502-4752 / 2502-4760

    • Type: Journal Article

  1. Title: Effective Coverage Optimization Techniques in WSN Using the Harris Hawk Algorithm

    • Authors: H. Abdul Wasay, P. Kavi Priya

    • Year: 2022

    • Conference: 2022 International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC)

    • DOI: 10.1109/icmacc54824.2022.10093669

    • Type: Conference Paper

  1. Title: Optimization for Bio Inspired Wireless Sensors Using Hybridization

    • Authors: H. Abdul Wasay, Dr. P. Kavi Priya

    • Year: 2022

    • Journal: Computer Integrated Manufacturing Systems

    • DOI: 10.24297/j.cims.2022.12.32

    • Type: Journal Article

  1. Title: A Study of Energy Efficient Security Algorithm for Heterogeneous Clusters

    • Author: H. Abdul Wasay

    • Year: 2020

    • Journal: Test Engineering and Management

    • Publication Date: April 22, 2020

    • Type: Journal Issue or Edition