Miss. Nagamani Thanuboddi: Research scholar at vignan university, India
Dr. T. Nagamani is a passionate researcher and educator with a strong academic background in Electronics and Communication Engineering (ECE). Currently pursuing a Ph.D. in Artificial Intelligence (AI) and Machine Learning (ML) at VFSTR University, Guntur, she has an extensive teaching career spanning over a decade. Dr. Nagamani’s research focuses on applying AI and ML methodologies to address critical challenges in agriculture, specifically in crop disease detection and classification. Her work includes using cutting-edge deep learning techniques, such as YOLO and hybrid models, for real-time agricultural disease monitoring. Additionally, she is committed to contributing to the healthcare sector by applying machine learning techniques to medical image analysis and patient monitoring systems. Her passion for advancing AI in real-world applications has earned her recognition in both academic and professional communities.
Online Profiles
Since the start of my academic and research career, I have steadily gained recognition in the research community, as reflected by my citation metrics. As of now, my work has garnered 4 citations in total, all of which were achieved since 2020, showcasing the increasing visibility of my research contributions. My h-index stands at 1, indicating that at least one of my papers has been cited at least once, reflecting the early stage of my most-cited publications. These metrics are a testament to the ongoing impact of my work in the areas of Artificial Intelligence (AI), Machine Learning (ML), and their applications in agriculture and healthcare. I am committed to advancing these fields through innovative research that not only addresses current challenges but also paves the way for future technological advancements.
Education
Dr. Nagamani holds a Bachelor’s degree (B.Tech) and a Master’s degree (M.Tech) in Electronics and Communication Engineering from JNTU Hyderabad (JNTUH) and JNTU Kakinada (JNTUK), respectively. In addition to her academic excellence, she is currently pursuing her Ph.D. at VFSTR University in the field of Artificial Intelligence and Machine Learning, specifically focusing on agricultural applications. Her early academic background includes a diploma in Electronics and Communication Engineering from the Government Polytechnic for Women, Guntur, where she was recognized for her academic diligence. Her strong foundation in both theoretical and applied aspects of electronics and communication makes her well-equipped to bridge the gap between AI technologies and their real-world applications.
Research Focus
Dr. Nagamani’s research interests primarily lie in the integration of AI and ML to tackle real-world challenges in agriculture and healthcare. In the field of agriculture, her research focuses on developing AI-based solutions for the early detection and classification of crop diseases, a critical aspect of improving agricultural productivity. She has explored advanced techniques such as hybrid deep learning models, self-supervised hierarchical reconstruction, and attention-driven temporal analysis to improve accuracy and efficiency in crop disease diagnosis. Her work also extends into healthcare, where she applies deep learning models for medical image processing, including thyroid nodule recognition and dynamic CEUS imaging analysis. Dr. Nagamani is dedicated to advancing the use of AI for practical applications that contribute to sustainability and better healthcare outcomes.
Experience
With over 12 years of teaching experience in various esteemed academic institutions, Dr. Nagamani has honed her skills as an educator and researcher. Currently, she is a full-time research scholar at VFSTR University, where she leads cutting-edge research in AI/ML applications for agricultural technology. Prior to this, she served as an Assistant Professor in the Department of Electronics and Communication Engineering at SREC (2018-2022), GATE’s (2017-2018), SVIT (2015-2016), and several other institutions, where she developed and taught courses on subjects like Artificial Intelligence, Deep Learning, Digital Image Processing, Analog Communication, and VLSI Design. Throughout her academic career, she has guided numerous students on research projects and has contributed to curriculum development, aiming to bring the latest technological advancements into the classroom. Additionally, Dr. Nagamani has been actively involved in organizing national and international workshops and has played a key role in fostering research collaboration between academia and industry.
Research Timeline & Activities
Dr. Nagamani’s research journey began in the area of signal processing and communication systems during her early academic years, where she focused on the optimization of wireless communication protocols. Her transition to AI/ML was marked by her involvement in projects related to machine learning models for medical diagnostics and agriculture during her M.Tech and Ph.D. studies. In 2022, she shifted her focus toward crop disease detection using deep learning, which has since become the primary area of her research. Over the past few years, she has been actively engaged in developing AI-based solutions for precision agriculture, contributing to several publications and presentations at national and international conferences. Dr. Nagamani has also organized and participated in multiple faculty development programs and workshops related to AI and machine learning, further enhancing her expertise and impact in the field.
Awards & Honors
Dr. Nagamani has received several prestigious awards and recognitions throughout her academic and research career. She was awarded a gold medal for best presenter at the SRM University Research Summit in 2024 for her work on crop disease detection. She has received multiple NPTEL certificates with distinctions in subjects like Remote Sensing Essentials, Machine Learning, and Deep Learning Applications. Dr. Nagamani is also credited with the issuance of a patent in 2021 for her innovative work in the field of healthcare technology. Her contributions to the academic community have been recognized through her roles as a reviewer for IEEE INDICON 2024 and her participation in international conferences. She was ratified by JNTUA in 2019 and JNTUK in 2009, further establishing her credibility and expertise in her field.
Top Noted Publication
Dr. Nagamani has authored several significant papers in high-impact journals, particularly in the fields of AI, ML, and agricultural technology. Among her top publications are:
- T. Nagamani
Spinach Variety Identification System Employing CNN Based Image Processing
Algebraic Statistics, Vol. 13, No. 1, pp. 923–931, 2022. Citations: 4 - Usharani Nelakuditi, T. Nagamani Thanuboddi
Hybrid Deep Learning for Smart Paddy Disease Diagnosis Using Self-Supervised Hierarchical Reconstruction and Attention-Based Temporal Analysis
Scientific Reports, Vol. 15, No. 1, 2025. - Usharani Nelakuditi, T. Nagamani Thanuboddi
Harnessing Thermal Imaging with Hybrid Deep Learning for Early Paddy Disease Detection
IEEE International Conference on Computing Technologies & Data Communication (ICCTDC), 2025. - T. Nagamani, U.R. Nelakuditi
Multi-Crop Multi-Disease Classifier Using Hybrid Model
2024 IEEE International Conference on Future Machine Learning and Data Science, 2025. - T. Nagamani
Plant Leaf Disease Identification and Categorization Using Deep Learning Methods: A Survey
Journal of Technology, Vol. 12, No. 8, pp. 1009–1022, 2024. - T. Nagamani
Segmentation Technique in Image Processing
Journal of Emerging Technologies and Innovative Research (JETIR), Vol. 10, No. 7, pp. 832–834, 2023.
strength and impact of a female researcher like Dr. T. Nagamani:
1. Breaking Barriers in STEM Fields
Dr. T. Nagamani has emerged as a trailblazer in the traditionally male-dominated fields of Electronics, Communication Engineering, and Artificial Intelligence. Her academic journey from a diploma holder to a Ph.D. scholar exemplifies her determination to overcome gender-based barriers. By excelling in cutting-edge AI and machine learning research, she inspires other women to pursue STEM careers, proving that gender is no limitation to scientific achievement and innovation.
2. Driving Real-World Impact through Research
With a profound commitment to societal betterment, Dr. Nagamani’s research tackles some of the most pressing challenges faced by communities today. Her work in developing AI models for early crop disease detection helps safeguard food security and empowers farmers with timely interventions. Similarly, her contributions to medical image analysis support healthcare providers in delivering faster and more accurate diagnoses. Through this, she bridges the gap between technology and social impact, demonstrating the transformative potential of female-led research.
3. Mentorship and Empowerment of Future Women Technologists
Beyond her research, Dr. Nagamani is a dedicated mentor and educator who actively nurtures the next generation of female engineers and researchers. Her guidance helps young women navigate the complexities of technical education and research careers, boosting their confidence and skills. By fostering an inclusive academic environment, she promotes diversity and gender equality in STEM, empowering more women to enter and thrive in fields traditionally underrepresented by females.
4. Resilience and Consistency in a Dual Role
Balancing a demanding research agenda alongside over a decade of teaching experience, Dr. Nagamani exemplifies resilience, discipline, and unwavering commitment. She has successfully published influential papers, secured a patent, and continuously upgraded her skills through certifications, all while shaping young minds in the classroom. Her ability to maintain excellence across multiple responsibilities reflects the unique strength and perseverance of women in academia and research.
5. Pioneering AI Solutions for Underserved Sectors
Dr. Nagamani’s focus on agriculture and healthcare highlights her visionary approach to leveraging AI for underserved yet vital sectors. By developing hybrid deep learning models for crop disease detection and medical imaging, she addresses real-world problems that directly impact human well-being and sustainability. Her work champions the integration of advanced technology with social responsibility, demonstrating how female researchers can lead innovation that benefits communities on a global scale.