Dr. S. Aasha Nandhini, Assistant Professor in the Department of Electronics and Communication Engineering, SSN School of Engineering, Shiv Nadar University, Chennai, has received her B.E. degree in Electronics and Communication Engineering from Anna University and M.E. degree in Communication Systems from Anna University. She obtained her Ph.D. degree from Anna University for her research work on Compressed Sensing based Secured Video Transmission in Wireless Multimedia Sensor Networks. She has joined SSN College of Engineering as an Assistant professor, she has served as an Assistant Professor at SRM Institute of Science and technology and Amrita School of Engineering, Chennai. She has around 10 years of teaching and research experience. Her research interests include Wireless Multimedia Sensor Networks, Image and Video Processing, Internet of Things, Machine Learning and Edge computing. She has three books, 17 book chapters, 17 publications in reputed international journals, 21 international conferences and a granted patent titled “A System, Device and Method for Plant Disease Detection and Alert” to her credit. She has around 13 years of teaching and research experience. Her research interests include Wireless Multimedia Sensor Networks, Image and Video Processing, Internet of Things, Machine Learning and Edge computing. She has three books, 17 book chapters, 17 publications in reputed international journals, 21 international conferences and a granted patent titled “A System, Device and Method for Plant Disease Detection and Alert” to her credit.

Experience: 14 Years (Teaching: 4.6 Years, Research: 9.8 Years)

• July 2026 – Present Assistant Professor, Department of Electronics and Communication Engineering, SSN School of Engineering, Shiv Nadar University, Chennai.
• July 2023 – June 2026 ,Assistant Professor, Department of Electronics and Communication Engineering, Sri Sivasubramaniya Nadar College of Engineering (SSNCE), Kalavakkam, Chennai.
• January 2023 – June 2023, Assistant Professor, Department of Networking and Communications, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai.
• January 2022 – December 2022, Assistant Professor (Selection Grade), Department of Computer Science and Engineering (Artificial Intelligence), Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai.
• June 2019 – January 2022, Research Associate I, SSN College of Engineering, under the DST–SSTP Scheme.
• April 2017 – November 2018, SSN Post-Doctoral Fellow, SSN College of Engineering.
• August 2016 – March 2017 ,Senior Research Fellow, SSN College of Engineering.
• February 2013 – January 2016, Junior Research Fellow, SSN College of Engineering.
• August 2012 – January 2013, Research Assistant, SSN College of Engineering.

Projects

Ongoing

Title: SmartAgriLink: AI and Multi-Protocol Connectivity System for Early Plant Disease Detection in Banana Farms, Investigators: Dr. S. Aasha Nandhini (PI), Funding Agency: IEEE Communications Society (ComSoc) – Tech4Good Program, Fund Allocated: USD 8,540, Project Duration: December 2025 – 2026, Status: Ongoing.

Title: AI-Based Smart Drone for Pest Detection in Chilli and Marigold Cultivation, Investigators: Dr. S. Radha (PI), Dr. R. Hemalatha (Co-PI), Dr. S. Aasha Nandhini (Co-PI), Funding Agency: FF-BioWorks (Consultancy Project), Fund Allocated: ₹27.85 Lakhs, Project Duration: 2025 – 2027, Status: Ongoing

Completed

Title: Development of Embedded Tiny Vision Mule for Smart Agriculture, Investigators: Dr. S. Aasha Nandhini (PI), Dr. R. Hemalatha (Co-PI), Funding Agency: SSN Trust (Internal Faculty Research Grant), Fund Allocated: ₹2.25 Lakhs, Project Duration: 2023 – 2025, Status: Completed.

Title: Development of Internet of Things Virtual Laboratory. Investigators: Dr. S. Aasha Nandhini (PI), Funding Agency: Ministry of Education (MoE, formerly MHRD), Fund Allocated: ₹20 Lakhs, Project Duration: 2022 – 2023, Status: Completed.

Publications

(Journals – 17, Conferences-21, Books – 3, Book chapters – 17)

1. Aasha Nandhini, G. M. D. Krishna, and M. Batumalay, “Design and Implementation of a Smart Outpass Management System Using Face Recognition,” Barekeng: J. Math. Appl., Online Publication: July 2026, vol. 20, no. 4, pp. 3487–3498, December 2026 [Article in Press].
2. Aasha Nandhini S, R. Karthick Manoj, M. Batumalay, “A Hybrid CNN-Transformer Model with Quantum-Inspired Fourier Transform for Accurate Skin Disease Classification”, Journal of Applied Data Sciences, Volume: 6, DOI: https://doi.org/10.47738/jads.v6i3.782, Pages: 1940-1952. Q2
3. Aasha Nandhini S, R. Karthick Manoj, M. Batumalay, “ Optimized AI-IoT Solution for Real-Time Pest Identification in Smart Agriculture”, Journal of Applied Data Sciences, Volume: 6, DOI: https://doi.org/10.47738/jads.v6i4.810, Pages: 3060-3074, Q2.
4. Aasha Nandhini, Manoj, R. Karthick, M. Batumalay, and Kiran Veernapu. “Bioinspired Quantum-Fuzzy NeuroGraph with Triple-Domain Entropy Adaptive Fusion for Robust and Interpretable Brain Tumor Classification.” Engineered Science (2026).Published Online May 2026, Q1, DOI: http://dx.doi.org/10.30919/es2307 .
5. Karthick Manoj S. Aasha Nandhini, Malathy Batumalay, “Automated Brain Tumor Analysis with Multimodal Fusion and Augmented Intelligence” in Journal of Applied Data Sciences, vol. 6 (2), pp. 1277-1290, May 2025. (IF:1.66, Q2)
6. Aasha Nandhini, R. Karthickmanoj, “Automated Plant Disease Detection Framework using Deep learning” Indian Journal of Natural Sciences, Tamilnadu Scientific Research Organization, Vol.15, Issue 83, pp. 72005- 72011, Apr 2024 (Clarivate Analytics)
7. Karthickmanoj, S. Aasha Nandhini, J. S. Ashwin, P. Siva Perumal, S. Satish Kumar, Deshinta Arrova Dewi, “Multi Sensor Data Fusion and Video Streaming Based Mine Safety Monitoring System Through Ip”, Journal of Engineering Science and Technology, Taylor’s University, Vol. 19, No. 1 (2024) 77 – 85, March 2024. (Clarivate Analytics, IF: 0.23, Q3)
8. Karthickmanoj, S. Aasha Nandhini, T. Sasilatha, J. Padmapriya, Rajermani Thinakaran, “Driver Drowsiness Inspection Framework Using Convolutional Neural Systems Models” Journal of Engineering Science and Technology, Taylor’s University, Vol. 19, No. 1 (2024), 67-76, March 2024. (Clarivate Analytics, IF: 0.23, Q3).
9. Aasha Nandhini; R. Hemalatha; S. Radha; R. Selvaraja; Shreya Gaur; “A Smart Agriculturing IoT System for Banana Plants Disease Detection through Inbuilt Compressed Sensing Devices” Springer’s Multimedia Tools and Communication 2023. (IF=3) 45519–45539, volume 82.
10. Flora, J. Blessy Annie, S. Radha, R. Hemalatha, and Aasha Nandhini. “Plant disease detection for banana using long-range wide area network.” International Journal of Security and Networks 16, no. 2 (2021): 129-134. (IF=1.4)
11. Aasha Nandhini; Radha S; Nirmala P; Kishore R “Compressive sensing for images using a variant of Toeplitz matrix for wireless sensor networks. J Real-Time Image Proc 16, 1525–1540 (2019) (IF=2.9)
12. Aasha Nandhini S; Hemalatha R; Radha S; Indumathi K; “Web Enabled Plant Disease Detection System for Agricultural Applications using WMSN”, Springer’s Wireless Personal Communications, Published online, pp. 1-16, December 2018. (IF=1.9)
13. Aasha Nandhini S; Radha S; “Efficient CS based Security Approach for Video Surveillance Application in WMSN”, Elsevier’s Computers and Electrical Engineering, 60, pp. 175-192, 2017.  (IF=4)
14. Aasha Nandhini S; Radha S; R. Kishore; “Efficient Compressed Sensing based Object Detection System for Video surveillance application in WMSN” Springer’s Multimedia Tools and Applications, Published Online, January 2017, pp 1-21.(IF=3)
15. Aasha Nandhini; Radha S; Manimozhi S; “Compressed Sensing based Foreground Detection Vector for Object Detection in Wireless Visual Sensor Networks” Elsevier’s AEUE International Journal of Electronics and Communications, Volume 72, Pages 216-224, 2017. (IF=3)
16. Aasha Nandhini S; Radha S; R. Kishore; “Video Compressed Sensing Framework for Wireless Multimedia Sensor Network using Combination of Multiple Matrices” Elsevier’s Computers and Electrical Engineering Journal, Volume 44, Pages 51–66, May 2015. (IF=4)
17. Aasha Nandhini; R. Kishore; S. Radha; “A Novel Frequency Hopping Spread Spectrum Technique using Random Pattern Table for WSN” Ad Hoc and Sensor Wireless Networks (AHSWN), Old City Publishing, volume 23, No:3-4, pp. 255-275, 2014. (IF=0.9)

International conferences:

1. Aasha Nandhini, Manoj M, R, Lokeswar, ““IoT-Enabled Smart Water Meter Using Pressure Flow Sensing for Sustainable Resource Management” Springer 1st International Conference on Energy and Climate Optimization (ECO-2026) organized by School of Electrical Engineering, Gandhi Engineering College (GEC Autonomous) Bhubaneswar, India during 2nd-3^rd May 2026.
2. Aasha Nandhini, R Karthick Manoj, “Multi-Scale Generative Skin Image Analysis with Dermoscopy-Guided Self-Disentangling Networks for Early Melanoma Detection” IEEE International Conference on Emerging Technologies in Engineering Applications (ICETEA-2026), Sri Manakula Vinayagar Engineering College, Puducherry, India.
3. Aasha Nandhini, R Karthick Manoj, Prithiviraj Rajalingam, “Explainable Dual-Stream CNN for Pneumonia Detection from Degraded Chest Radiographs”, 2026 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), DOI: 10.1109/RAEEUCCI67649.2026.11504474.
4. Kiruthika Vajjiravelu, Medha D, Aasha Nandhini S, “Embedded Vision-Based Assistive Care for the Elderly” 2026 Second International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS), DOI: 10.1109/ICISCoIS62701.2026.11447852.
5. Aasha Nandhini, R. Karthick Manoj “A Comparative Analysis of Skin Cancer Image Denoising and Segmentation using Deep Learning Techniques” 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE) organized by R.M.K. Engineering College, Chennai on 08.05.2025.
6. Aasha Nandhini, R. Karthick Manoj“A Novel Skin Disease Classification Framework Using Template Matching and Stacked Ensemble Learning” 2025 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI) held at SRMIST, Kattankulathur.
7. R. Anjana, D. Medha, S. Aasha Nandhini, S. Radha, “Design of MEMS based sensor for fuel density measurement” 2025 1^st International Conference on Radio Frequency Communication and Networks (RFCoN) held at SASTRA Deemed to be university during June 19-20, 2025. They also received “Best paper award”
8. Aasha Nandhini, S., Karthickmanoj, R., Sasilatha, T. (2024). Plant Disease Diagnosis with Novel Segmentation and Multiple Feature Selection Based on Machine Learning. In: Satheeskumaran, S., Zhang, Y., Balas, V.E., Hong, Tp., Pelusi, D. (eds) Intelligent Computing for Sustainable Development. ICICSD 2023. Communications in Computer and Information Science, vol 2121. Springer
9. Aasha Nandhini, R. Karthickmanoj, “An efficient ensemble learning model-based plant disease detection for smart agriculture”, International Conference On Multidisciplinary Research And Development (ICMRD – 2023), Universiti Teknologi MARA, Puncak Alam Campus, Selangor, Malaysia, September 2023, ISBN: 978 – 93 – 90188 – 79 – 6.
10. R, S. Aasha Nandhini, T. Sasilatha, Dhyaneshwar.P “Artificial Intelligence based Plant Disease Detection System for Smart Agriculture”, International Conference on Fostering Sustainable Development Through Innovation and Smart Technologies (FSDIST 2023), ISBN:978-93-85434-94-5, November 2023.
11. Gokul Nath.A, R.KarthickManoj, Aasha Nandhini, D.Lakshmi, S.Jana, “Data acquisition in ships using light fidelity” International Conference on Fostering Sustainable Development Through Innovation and Smart Technologies (FSDIST 2023), ISBN:978-93-85434-94-5, November 2023.Chereddy Spandana, Venkata Srisurya Ippatapu, Priyadharshini A R, Krithika S, Aasha Nandhini S, Prasanna Kumar R and Bharathi Mohan G, “Underwater Image Enhancement and Restoration Using Cycle GAN”, Springer’s International Conference on Innovative Computing and Communication (ICICC), 2023.
12. Chereddy Spandana, Ippatapu Venkata Srisurya, Aasha Nandhini, R. Prasanna Kumar, G. Bharathi Mohan, Parathasarathy Srinivasan, “An Efficient Genetic Algorithm Based AutoML Approach for Classification and Regression”, IEEE International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT 2023). (Scopus Indexed)
13. Karthickmanoj R, Aasha Nandhini, T. Sasilatha, J, Padmapriya, “Driver Drowsiness Inspection Framework Using Convolutional Neural Systems Models”, 5th International Conference on Innovation and Technopreneurship (ICIT 2022), 2022.
14. Aasha Nandhini, R. Karthickmanoj, “AI-Enabled Technology for Smart Health” International Conference on Multidisciplinary Research and Innovation, 2022 
15. Deepika Devi, S. Aasha Nandhini, R. Hemalatha, S. Radha “IoT Enabled Efficient Detection and Classification of Plant Diseases for Agricultural Applications”, IEEE international Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2019.
16. Keerthana, S. Aasha Nandhini, S. Radha “Compressed Sensing based Cyber Physical System for healthcare applications”, International Conference on Power, Energy, Signal and Automation (ICPESA ’18), 2018.
17. Indumathi, R. Hemalatha, S. Aasha Nandhini, S. Radha, “Intelligent Plant Disease Detection System using Wireless Multimedia Sensor Networks”, IEEE international Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), March 2017.
18. Aasha Nandhini S, Radha S, “Compressed Sensing based object detection and tracking system using Measurement Selection Process for Wireless Visual Sensor Networks” IEEE international Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 1160-1165, March 2016.
19. Manimozhi S, Aasha Nandhini S, Radha S, “Compressed Sensing Based Background Subtraction for Object Detection in WSN” IEEE International Conference on Communication and Signal Processing (ICCSP), pp. 571-575, April 2015.
20. Aasha Nandhini S; Radha S; Reshma M; Shiwani Hariraman; Swathi P; “Video Compressed Sensing Framework for WMSN using a Combination of matrices” International Conference on Next Generation Computing and Communication Technologies (ICNGCCT 2014), proceedings of ICNGCCT 2014, PP. 131-135, Dubai, UAE.
21. Aasha Nandhini; R. Kishore; S. Radha; “An Efficient Anti jamming Technique for Wireless Sensor Networks” IEEE International Conference on Recent Trends in Information Technology (ICRTIT-2012), April 2012, pp. 361-366.

Book:

1. S. Aasha Nandhini, R. Karthick Manoj, D. Lakshmi, Malathy Batumalay ; Cognitive Computing with Intelligent Engineering Platforms;, Bentham Science Publishers (2026). https://doi.org/10.2174/97988988144101260101, Print ISBN979-8-89881-442-7, Online ISBN 979-8-89881-441-0

2. Karthickmanoj, T.Sasilatha, S. Aasha Nandhini, J. Padmapriya, D. Lakshmi, “Introduction to Robotics”, ESN publications 2022.
3. Radha S, Hemalatha R, Aasha Nandhini S, “Compressive Sensing for Wireless Communication: Challenges and Opportunities”, River publication, 2016.

Book Chapters:

1. Karthick Manoj, R., and Aasha Nandhini.;Predictive Maintenance and Fault Diagnosis of Wind Turbines Using AI; AI and Wind Power 1: A Multifaceted Approach to Sustainable Energy (2026): 139-157. June 2026, DOI: https://doi.org/10.1002/9781394464241.ch6
2. Karthick Manoj, R., Aasha Nandhini, S. (2026). Emotion Detection in Human-Machine Interaction Using ML Techniques. In: Slimani, K., Aseri, V., Khoulji, S.
3. (eds) Emotion and Facial Recognition in Artificial Intelligence: Sustainable Multidisciplinary Perspectives and Applications. Information Systems Engineering and Management, vol 78. Springer, Cham. https://doi.org/10.1007/978-3-032-14778-3_5
4. Manoj, R.K., Aasha Nandhini, S. (2026). Digital Twin-Driven Predictive Models for Crop Disease Detection. In: Srivastav, A.L., Kumar, N., Zinicovscaia, I. (eds) Digital Twin Technology for Sustainable Agriculture. Springer, Singapore. https://doi.org/10.1007/978-981-95-5915-2_7
5. Manoj, R. Karthick, and Aasha Nandhini. “A Novel Transfer Learning‐Based Composite AI Model for Skin Disease Classification”; Composite Artificial Intelligence: Fundamentals, Challenges, and Applications (2026): 199-221, May 2026, DOI: https://doi.org/10.1002/9781394393060.ch9
6. Manoj, R. Karthick, Aasha Nandhini, G. Abirami, and Ganesan Krishnan.;Cognitive Industrial IoT in Healthcare Revolutionizing Intelligent Care Delivery; In Cognitive Computing with Intelligent Engineering Platforms, pp. 192-213. Bentham Science Publishers, 2026. DOI: https://doi.org/10.2174/97988988144101260101
7. Karthick Manoj, R., Aasha Nandhini, S., Ananth Kumar, T., Ajagbe, S.A. (2026). Integrating Explainable AI and Blockchain for Secure and Transparent Skin Disease Diagnosis in Virtual Healthcare. In: Kumar, A., Rathore, P.S., Moreira, F. (eds) Blockchain Enabled Metaverse for Smart Wireless Sensor Networks. Information Systems Engineering and Management, vol 72. Springer, Cham. https://doi.org/10.1007/978-3-032-07305-1_15
8. Manoj, R.K., Nandhini, S.A. (2026). Computer Vision and AI-Based Apple Plant Disease Detection Framework in Smart Farming. In: Kumar, S.R., Gayathri, N., Yendapalli, V., Rocha, A. (eds) AI-Driven IoT Solutions in Agriculture: New Insights. Studies in Computational Intelligence, vol 1236. Springer, Cham. https://doi.org/10.1007/978-3-032-05603-0_12
9. Karthick Manoj, R., Aasha Nandhini, S. (2026). DeepFex: Explainable and Secure Deepfake Detection System. In: Kumar, A., Batta, D.P., Kumar, T.A., Manoj, S.O. (eds) Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions. Blockchain Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-95-1394-9_4
10. Ravichandran, Karthickmanoj, Aasha Nandhini, and T. Sasilatha. “Investigation of automated plant disease detection framework using machine learning classifier with novel segmentation and feature extraction strategy.” In Hyperautomation in Precision Agriculture, pp. 313-321. Academic Press, 2025.
11. Karthickmanoj, R., Aasha Nandhini, D. Lakshmi, R. Rajasree, and T. Ananth Kumar. “Transforming deep learning-based skin disease detection and classification with AI-based diagnostic framework in the era of Industry 5.0.” Industry 5.0: Design, standards, techniques and applications for manufacturing, IET, 449-469. DOI: https://doi.org/10.1049/PBME026E_ch20
12. Karthickmanoj.R; T.Sasilatha; S.Aasha Nandhini; D.Lakshmi; “Computational Intelligence based Optimize Feature Selection Techniques for Detecting Plant Diseases” Computational Intelligence : Theory and Applications, Wiley Publisher, 2024 145-159 (Scopus Indexed)
13. R. Karthickmanoj, S. Aasha Nandhini, T. Sasilatha, “Automated Plant Disease Detection Using Efficient Deep Ensemble Learning Model for Smart Agriculture” in book Using Traditional Design methods to Enhance AI-driven Decision Making, IGI Global, ISBN13: 9798369306390, pp:318-336, January 2024, doi: 10.4018/979-8-3693-0639-0 (Scopus Indexed)
14. Karthickmanoj.R; T.Sasilatha; S.Aasha Nandhini; D.Lakshmi; “Smart Cyber Physical System Based Plant Disease Detection for Agriculture” Contemporary Developments in Agricultural Cyber-Physical Systems, IGI Global, 2024. (Scopus)
15. Karthickmanoj R; S. Aasha Nandhini; T. Sasilatha; “Investigation of Banana Plant Diseases Detection using Transfer Learning” Smart Agritech: Potential of Robotics, AI and Internet of Things in agriculture, Wiley Publisher, 2023,393-418 (Scopus and Web of Science)
16. K. Keerthana, S. Aasha Nandhini, S. Radha Chapter 8 – Cyber physical systems for healthcare applications using compressive sensing, Editor(s): Mahdi Khosravy, Nilanjan Dey, Carlos A. Duque, In Advances in ubiquitous sensing applications for healthcare, Compressive Sensing in Healthcare, Academic Press, 2020, Pages 145-164. (Scopus indexed)
17. Radha S, Aasha Nandhini S, Hemalatha R, “Efficient Anomaly Detection System for Video Surveillance Application in WVSN with Particle Swarm Optimization” Book chapter, Springer’s Studies in Computational Intelligence Series, Computational Intelligence in Wireless Sensor Networks: Recent Advances and Future Challenges (CIWSN 2017), pp. 153-177. (Scopus Indexed)

Patents:

1. Filed an Indian patent for the invention titled “A System, Device and Method for Plant Disease Detection and Alert”, 2023. (Granted)
2. Filed an Indian Patent for the invention titled “ System and Method Thereof for Real-Time Plant Disease Detection in Agricultural Fields Using a Movable Edge-Processing Device” 2025 (Published)

Awards

1. Recognized as an IEEE Humanitarian Technologies Board (HTB) Reviewer for evaluating R&D proposals submitted under the IEEE Communications Society (ComSoc) and Tech4Good Funding Program.
2. Established the IEEE SSN SIGHT Group by securing official charter approval and USD 250 in seed funding from the IEEE Humanitarian Technologies Board (HTB) to support humanitarian engineering initiatives.
3. Recognized as an Honorary Research Fellow by INTI International University, Malaysia, for promoting international research collaborations.
4. Received IEEE Workshop Grant of ₹15,000 for conducting student workshops during 2024 and 2026.
5. Mentored the Anna University Naan Mudhalvan Niral Thiruvizha student project, which received ₹10,000 towards prototype development in 2025.
6. Received National Recognition at IInvenTiv 2024 for the project in Agriculture & Food Processing Innovation, selected through a rigorous nationwide screening process.
7. Mentored the winning team in the Inventor’s Challenge 2024, organized by Arm and STMicroelectronics, and secured an STM development board for prototype development.
8. Received the Best Researcher Award at SSN College of Engineering in 2016.
9. Received the Best Oral Presentation Award during SSN Doctoral Scholars’ Day in 2015 and 2016.
10. Received Merit Scholarship during the M.E. programme for the academic years 2010–2011 and 2011–2012 at SSN College of Engineering.

Area of Research

• Wireless Multimedia Sensor Networks
• Internet of Things (IoT)
• Edge Computing
• Artificial Intelligence and Machine Learning
• Computer Vision
• Image and Video Processing
• TinyML and Edge AI
• Wireless Communication
• Sustainable Smart Farming Technologies