Dr. Sasikala S: Associate Professor at Paavai engineering College, India
Dr. S. Sasikala, M.E., Ph.D., is an accomplished researcher, academician, and technologist with extensive expertise in Artificial Intelligence, Machine Learning, and 5G Communication Networks. She is currently serving as an Associate Professor in the Department of Computer Science and Engineering at Paavai Engineering College, Namakkal, where she plays a key role in teaching, research supervision, and academic coordination. With over nine years of combined academic and industrial experience, Dr. Sasikala has developed a strong research foundation that integrates advanced computing models with real-time applications. Her scholarly contributions span AI-driven system optimization, data analytics, deep learning architectures, IoT-enabled healthcare, and network security. Dedicated to promoting innovation in engineering education, she continues to mentor students and collaborate on funded projects that address emerging technological challenges in smart systems and sustainable development.
Online Profiles
Google Scholar Profile
Dr. Sasikala’s research contributions have been well-received within the academic community, reflecting both the quality and impact of her scholarly work. According to Google Scholar metrics, she has a total of 185 citations, with an h-index of 5 and an i10-index of 4, all accumulated since 2020. These metrics demonstrate her consistent publication record and growing influence in the domains of Artificial Intelligence, Machine Learning, and 5G Networks. Her citation profile continues to expand through interdisciplinary collaborations, journal publications, and conference proceedings across reputed indexing platforms such as Scopus, IEEE, and Springer.
Education
Dr. Sasikala obtained her Doctor of Philosophy (Ph.D.) in Computer Science and Engineering as a full-time research scholar from Sona College of Technology, Salem, affiliated with Anna University (2017–2021). Her doctoral thesis titled “Real-Time Multi-Feature Streaming Approximation-Based Location Selection and Random Deployment for Improved Data Rate in 5G SDN Networks” explored novel optimization models for network performance enhancement. She earned her Master of Engineering (M.E.) in Computer Science and Engineering from Selvam College of Engineering and Technology, Namakkal, graduating with distinction and an 8.8 CGPA in 2014. She holds a Bachelor of Technology (B.Tech.) in Information Technology from Maharaja Prithvi Engineering College, Coimbatore, completed in 2010, and a Diploma in Information Technology from Thiagarajar Polytechnic College, Salem, completed in 2006. Her academic path demonstrates a consistent record of excellence and technical growth in the computing domain.
Research Focus
Dr. Sasikala’s research interests converge on the integration of Artificial Intelligence, Data Science, and Wireless Networks to develop adaptive, scalable, and intelligent systems. Her current research directions include AI-based medical image analysis, IoT-assisted healthcare monitoring, deep learning for agricultural automation, 5G-SDN optimization, and cybersecurity enhancement using neural models. She is deeply involved in exploring the applications of machine learning and computer vision for solving domain-specific problems in agriculture, industry, and medicine. With a vision to bridge academic research and societal impact, her studies contribute to the design of efficient algorithms and models that improve data transmission, system accuracy, and intelligent decision-making. She also leads initiatives that explore sustainable AI solutions for healthcare 4.0, industrial automation, and smart city applications.
Experience
With over nine years of professional experience, Dr. Sasikala’s career encompasses both industrial and academic achievements. Her industrial tenure includes roles such as Software Programmer at Genius IT Solutions Pvt. Ltd., Chennai (2010–2011) and Project Manager at SK Rebars Detailing, Salem (2014–2017), where she managed software development, project scheduling, and team coordination. Transitioning to academia, she has held progressive teaching and leadership positions including Assistant Professor at Excel Engineering College (2020–2022), Senior Assistant Professor at New Horizon College of Engineering, Bangalore (2022–2023), Assistant Professor at Muthayammal Engineering College (2023–2025), and presently, Associate Professor at Paavai Engineering College (2025–present). Her responsibilities have included curriculum development, NBA and NAAC coordination, project supervision, and mentoring of UG and PG students in cutting-edge computing technologies.
Research Timeline & Activities
Dr. Sasikala’s research journey began during her Ph.D. tenure (2017–2021), where she developed high-performance models for 5G network optimization. Post-Ph.D., she diversified her research into AI for medical imaging, drone-based smart agriculture, and cybersecurity applications. Between 2021 and 2025, she published more than ten papers in Scopus-indexed and Springer journals, including SN Computer Science, Journal of Ambient Intelligence and Humanized Computing, and Current Medical Imaging. She has presented her research at numerous IEEE international conferences, such as ICCES 2024 and SmartTechCon 2023 (Singapore). Beyond publications, she authored book chapters with IGI Global and Wiley, and has filed an Indian patent on IoT-based pregnancy monitoring systems. Her ongoing proposals to DST, CSIR, and BIRAC focus on AI-powered robotics, smart environmental monitoring, and healthcare innovations, with funding values ranging from ₹36 to ₹76 lakhs.
Awards & Honors
Throughout her career, Dr. Sasikala has received recognition for her research excellence, leadership, and project contributions. Her project titled “Drone-Based Smart Agriculture and Animal Monitoring System” was selected by the Tamil Nadu State Council for Science and Technology (TNSCST) in 2022. She has been appointed as a reviewer for high-impact international journals such as the International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM) and Frontier Medicine (Q1). She has also delivered invited lectures, including a guest talk on “Research Challenges and Future Scope of 6G Technology” at Kumaraguru College of Technology, Coimbatore. Her active participation in AICTE and NITTTR FDPs further demonstrates her commitment to lifelong learning and faculty development.
Top Noted Publication
Among her numerous publications, one of Dr. Sasikala’s most notable works is her 2025 article, “A Novel Stock Data Market Prediction Using Hybrid LSTM-RBFN Model”, published in SN Computer Science (Springer Nature), which presents a hybrid deep learning framework for financial forecasting. Another impactful paper, “Tri Feature Streaming Approximation Based Random Placement and Location Selection for Macro Cells Units for Improved Data Rate in 5G-SDN Networks” (2022), showcases her expertise in 5G network design and optimization. Her research on “A Convolution Neural Network Approach for Rice Leaf Disease Detection in India Using Deep Learning” (Scopus, 2025) further highlights her interdisciplinary contributions to agricultural technology. Collectively, these works represent her vision of applying AI-driven intelligence across domains to improve accuracy, efficiency, and societal well-being.
Raspberry Pi-enabled Wearable Sensors for Personal Health Tracking and Analysis
K. Karthika, S. Dhanalakshmi, S.M. Murthy, N. Mishra, S. Sasikala, et al.
2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
Citations: 61 | Year: 2023Drunk Driving Detection and Automatic Car Ignition Locking System
T.S. Kumar, R. Raman, M. Karthikeyan, C.J. Rawandale, S. Sasikala, et al.
2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
Citations: 48 | Year: 2023IoT Controlled Device to Manage the EMG Signals of the Patient and Alert in Real Time
G. Arunsankar, B. Gopi, R. Sampathrajan, S. Sasikala, A. Vanathi, et al.
2023 Second International Conference on Smart Technologies for Smart Nation (SmartTechCon), Singapore
Citations: 47 | Year: 2023A Convolutional Neural Network Approach for Rice Leaf Disease Detection in India Using Deep Learning
K.K. Kumar, S. Sasikala, G. Maheswari, M.K.B. Suthar, P. Sridevi, D. Kavitha, et al.
Journal of Neonatal Surgery, Vol. 14(4S), Scopus Indexed
Citations: 21 | Year: 2025RETRACTED ARTICLE: Adaption of 5G Networks in Industrial Sector with Improved Bandwidth Utilization
S. Sasikala, S. Sakthivel
Journal of Ambient Intelligence and Humanized Computing, Vol. 12(6), Springer
Citations: 6 | Year: 2021
Strengths for the Best Researcher Award
Consistent Research Productivity:
Dr. Sasikala has demonstrated sustained scholarly output through more than a dozen publications in reputed Scopus, IEEE, and Springer-indexed journals, achieving 185 citations, an h-index of 5, and an i10-index of 4 since 2020, reflecting the growing impact of her contributions in Artificial Intelligence and 5G technologies.Interdisciplinary Innovation:
Her research bridges multiple domains—AI, IoT, Deep Learning, Data Analytics, and Wireless Networks—addressing societal and industrial challenges in healthcare, agriculture, and communication systems through practical and deployable intelligent models.Active Research Leadership and Mentorship:
As an Associate Professor, she leads student research teams, coordinates funded proposals (DST, CSIR, BIRAC), and mentors both undergraduate and postgraduate projects, fostering innovation and cultivating a strong research culture within the institution.Recognized Research Excellence and Service:
Dr. Sasikala’s selection of her TNSCST-funded project, appointment as a reviewer for Q1 international journals, and invitations for guest lectures underscore her recognition as a thought leader and contributor to India’s research ecosystem.Global Research Visibility and Impact:
Through her participation in international conferences (Singapore, IEEE ICCES 2024), publication of book chapters (IGI Global, Wiley), and patent filing in IoT-based healthcare systems, she continues to build a global academic presence that strengthens the visibility of Indian research in advanced computing.