Dr. Nalini Manogara | Artificial Intelligence |  Best Academic Researcher Award

Associate Professor  at S.A. Engineering College, India

Dr. M. Nalini is a distinguished academician with over 14 years of teaching and research experience in Computer Science and Engineering. Currently serving as an Associate Professor, she has demonstrated excellence in academia through her impactful publications in high-ranking SCI and Scopus-indexed journals, focusing on areas like wireless sensor networks, cloud healthcare systems, and network security. Dr. Nalini has received several prestigious awards, including the Best Research Award (2019) and Academic Excellence Award (2024). She has actively contributed to academic leadership by organizing symposiums, FDPs, and conferences, while also mentoring Ph.D. scholars and engineering students. A recipient of multiple IEEE-sponsored grants, she is an active member of several professional bodies such as IEEE, ISTE, and ACM. Her commitment to academic growth, curriculum development, and research funding showcases her dedication to advancing education and technology. Dr. Nalini is a highly deserving candidate for the Best Academic Researcher Award.

Professional Profile 

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Education🎓

Dr. M. Nalini has a strong academic foundation in Computer Science and Engineering, marked by consistent academic excellence throughout her educational journey. She earned her Ph.D. in Computer Science and Engineering from St. Peter’s Institute of Higher Education and Research in 2018, where she conducted research on efficient anomaly detection and data redundancy elimination. Prior to that, she completed her M.Tech in Computer Science and Engineering from B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, in 2012 with an impressive CGPA of 9.1, securing the University’s third rank. Her undergraduate studies were completed at V.P.M.M. College for Women, affiliated with Anna University, where she received a B.E. in Computer Science and Engineering in 2010. She also demonstrated academic excellence in her school years, securing 91% in SSLC and 73.42% in HSC. In 2024, she further enriched her academic credentials by completing a Post-Doctoral Fellowship, expanding her research expertise.

Professional Experience📝

Dr. M. Nalini brings over 14 years of diverse professional experience in academia and industry, showcasing a progressive career in teaching, research, and leadership. She began her academic journey as a Lecturer at Sakthi Mariamman Engineering College (2010–2012), followed by roles as Assistant Professor at RVS Padhmavathy College and Sri Nandhanam College of Engineering and Technology, where she contributed to academic excellence and student mentoring. In 2018, she gained valuable industry exposure as a Software Trainee at J.J. Automation Pvt. Ltd., enriching her practical understanding of technology. She then served as Assistant Professor at Saveetha School of Engineering until mid-2022, where she was actively involved in research and faculty development programs. Currently, she is an Associate Professor at S.A. Engineering College, where she leads academic initiatives, mentors Ph.D. scholars, and coordinates national and international academic events. Her well-rounded experience highlights her dedication to both academic advancement and professional excellence.

Research Interest🔎

Dr. M. Nalini’s research interests lie at the intersection of advanced computing technologies and real-world applications, with a strong focus on data mining, machine learning, wireless sensor networks, and network security. Her scholarly work explores intelligent systems capable of detecting anomalies, optimizing data storage, and enhancing communication protocols, particularly in the context of large-scale data environments. She has conducted extensive research on intrusion detection systems, cloud-based healthcare applications, and AI-driven behavioral prediction models, contributing significantly to the fields of cybersecurity and smart computing. Dr. Nalini is also deeply interested in emerging areas such as explainable artificial intelligence (XAI), Internet of Things (IoT), and edge computing. Her projects emphasize both theoretical frameworks and practical implementation, aimed at developing scalable and efficient solutions for complex problems. Through her research, she aims to bridge the gap between academic innovation and industrial application, fostering technological advancement and societal impact.

Award and Honor🏆

Dr. M. Nalini has been widely recognized for her academic excellence and impactful contributions to research and education. She received the prestigious Best Research Award in 2019 from the International Association for Science and Technical Education (IASTE), acknowledging her innovative work in computer science. In 2020, she was honored with the Best Women Faculty Award by the Amaravathi Research Academy’s Faculty Excellence Awards, highlighting her dedication to teaching and mentoring. Most recently, she earned the Academic Excellence Award in 2024 from the Association of Intellectual Professionals (AIP), a testament to her consistent academic performance and leadership in scholarly activities. In addition, she has served as a resource person in ATAL Faculty Development Programs, completed multiple certifications including NPTEL courses, and has received significant funding and sponsorships for technical events and faculty development initiatives from reputed bodies such as IEEE, ACM, and CSI. These accolades reflect her outstanding professional achievements and leadership in academia.

Research Skill🔬

Dr. M. Nalini possesses a robust set of research skills that reflect her deep expertise in computer science and engineering. Her proficiency spans key domains such as data mining, machine learning, artificial intelligence, cloud computing, and network security. She is skilled in developing innovative algorithms for intrusion detection, anomaly detection, and data deduplication, with proven results published in SCI and Scopus-indexed journals. Dr. Nalini is adept at using various programming languages including C, C++, Java, and tools like XML, HTML, and PHP for web-based applications. Her ability to conduct high-quality empirical research, design complex experimental setups, and apply optimization models to real-world challenges demonstrates her analytical depth. She is also experienced in guiding Ph.D., M.Tech, and B.E. students in research projects, helping them translate ideas into tangible outcomes. With strong writing, critical thinking, and technical documentation skills, Dr. Nalini effectively communicates her findings to both academic and professional communities.

Conclusion💡

Dr. M. Nalini possesses the scholarly depth, leadership, technical expertise, and academic service credentials to deserve strong consideration for the Best Academic Researcher Award. Her consistent record of research, publication in reputed journals, mentoring roles, academic event leadership, and recognized contributions to the academic community affirm her excellence in academia.

Publications Top Noted✍️

1. An efficient cloud‐based healthcare services paradigm for chronic kidney disease prediction application using boosted support vector machine

   • Authors: J. Aswini, B. Yamini, R. Jatothu, K.S. Nayaki, M. Nalini

   • Year: 2022

   • Citations: 57

2. Characterization of Rubia cordifolia L. root extract and its evaluation of cardioprotective effect in Wistar rat model

   • Authors: B.S. Chandrashekar, S. Prabhakara, T. Mohan, D. Shabeer, B. Bhandare, et al.

   • Year: 2018

   • Citations: 56

3. Energy-efficient cluster-based routing protocol for WSN based on hybrid BSO–TLBO optimization model

   • Authors: K. Krishnan, B. Yamini, W.M. Alenazy, M. Nalini

   • Year: 2021

   • Citations: 51

4. A comprehensive survey on Naive Bayes algorithm: Advantages, limitations and applications

   • Authors: P.J.B. Pajila, B.G. Sheena, A. Gayathri, J. Aswini, M. Nalini

   • Year: 2023

   • Citations: 26

5. Opportunities for improving crop water productivity through genetic enhancement of dryland crops

   • Authors: C.L.L. Gowda, R. Serraj, G. Srinivasan, Y.S. Chauhan, B.V.S. Reddy, K.N. Rai, et al.

   • Year: 2009

   • Citations: 25

6. Predictive modelling for lung cancer detection using machine learning techniques

   • Authors: B. Yamini, K. Sudha, M. Nalini, G. Kavitha, R.S. Subramanian, R. Sugumar

   • Year: 2023

   • Citations: 22

7. AI and IoT applications in medical domain enhancing healthcare through technology integration

   • Authors: K. Sudha, C. Ambhika, B. Maheswari, P. Girija, M. Nalini

   • Year: 2023

   • Citations: 19

8. Energy harvesting and management from ambient RF radiation

   • Authors: M. Nalini, J.V.N. Kumar, R.M. Kumar, M. Vignesh

   • Year: 2017

   • Citations: 18

9. Accuracy Analysis for Logistic Regression Algorithm and Random Forest Algorithm to Detect Frauds in Mobile Money Transaction

   • Authors: G.M. Kumar, M. Nalini

   • Year: 2021

   • Citations: 11

10. Anomaly Detection Via Eliminating Data Redundancy and Rectifying Data Error in Uncertain Data Streams

• Authors: S.A. M. Nalini

• Year: 2014

• Citations: 11