Dr. S. Srijah, Thiagarajar College of Engineering, India

Srijah S is a Research Scholar under the Thiagarajar Research Fellowship at Thiagarajar College of Engineering, Madurai, affiliated with Anna University. Her research focuses on Artificial Intelligence, Deep Learning, Computer Vision, Explainable AI, Machine Learning, and AI-driven solutions for smart agriculture, with particular emphasis on plant disease detection, plant-stress assessment, mango disease diagnosis, and fruit-quality grading. Her current doctoral research explores an Artificial Intelligence-Based Decision Support System for Smart Agriculture.

Online Profiles

Srijah S maintains an ORCID profile (0009-0004-3192-8917) and a Google Scholar profile, providing platforms for documenting her academic research and scholarly publications. Her research portfolio is associated with Artificial Intelligence and Smart Agriculture, particularly deep-learning-based approaches for agricultural disease and quality assessment.

Education

Srijah S is pursuing a Ph.D. at Thiagarajar College of Engineering, Madurai, affiliated with Anna University, with research on an Artificial Intelligence-Based Decision Support System for Smart Agriculture, beginning in January 2024. She completed her M.E. in Computer Science and Engineering at Pavendar Bharathidasan College of Engineering and Technology, Anna University, during 2018–2020, with a thesis on securing cloud data under key exposure. She completed her B.E. in Computer Science and Engineering from the same institution during 2010–2013, with research on rapid energy-loss prevention using the PLGP algorithm in wireless ad hoc sensor networks, and a Diploma in Computer Engineering from Sudharsan Polytechnic College during 2008–2010, with a project on implementing the Decision Tree algorithm in data mining.

Research Focus

Her research is centered on the application of Artificial Intelligence and Deep Learning to smart agriculture, combining Computer Vision, Machine Learning, and Explainable AI techniques to develop intelligent agricultural decision-support solutions. Her research areas include mango leaf disease detection, plant-stress detection, fruit-quality assessment and grading, precision agriculture, and automated image-based agricultural analysis.

Experience

Srijah S has academic, teaching, coordination, and research experience across engineering and technical education. She served as Lecturer and Training & Placement Coordinator at Pavendar Bharathidasan Polytechnic College, contributing to learning materials, student development, seminars, administration, and placement activities, and subsequently served in a Head of Department and Training & Placement coordination role involving departmental management, resource planning, curriculum implementation, and student career development. She later worked as an Assistant Professor at Pavendar Bharathidasan College of Engineering from March 2022 to June 2023, contributing to teaching, curriculum improvement, collaborative research, and the education of more than 3,000 students. Since February 2024, she has been working as a Research Scholar at Thiagarajar College of Engineering, conducting doctoral research in AI-based smart agriculture and developing deep-learning models for leaf disease, plant stress, and fruit grading.

Research Timeline & Research Publications

Her research development spans computer science, machine learning, cloud security, wireless sensor networks, and Artificial Intelligence applications in agriculture. Her current doctoral research, initiated in 2024, focuses on AI-based decision support for smart agriculture, with recent research contributions addressing mango leaf disease detection, mango fruit grading, plant-stress detection, and tomato leaf disease classification. The nomination form reports 12 publications comprising 4 journal articles, 7 conference papers, and 1 book chapter, with the five publication records provided in the application representing selected research contributions from 2025 and 2026.

Research Impact

Srijah S’s research contributes to the development of automated and intelligent agricultural assessment systems designed to support disease diagnosis, plant-stress identification, and fruit-quality grading. Her work applies deep learning and computer vision to practical agricultural challenges, with research published in journal and conference venues. The application reports 12 total publications, an h-index of 1, an i10-index of 0, and 3 citations.

Innovation & Intellectual Property

Her innovative research lies in the development and application of deep-learning and hybrid computer-vision frameworks for agricultural intelligence, including custom CNN-based mango leaf disease detection, hybrid feature-fusion approaches for mango grading, and automated plant-stress detection. These approaches are directed toward improving the efficiency and reliability of image-based agricultural assessment.

Research Projects & Funding

Her principal ongoing research project is her doctoral work, titled “Artificial Intelligence Based Decision Support System for Smart Agriculture,” undertaken at Thiagarajar College of Engineering, Madurai, under Anna University. Her research activities include developing deep-learning models for leaf disease detection, plant-stress analysis, and fruit grading. She is also supported through the Thiagarajar Research Fellowship, under which she has been working as a Research Scholar since February 2024.

Conference Contributions

Srijah S has contributed to conference-oriented research through publications addressing computer-vision and deep-learning applications in agriculture. Her submitted publication record includes a paper on tomato leaf disease classification using an improved ResNet50 architecture, published in the Proceedings of ACIT 2025 by Springer Nature. She has also participated in academic and professional activities including faculty seminars and served as a reviewer for the International Conference on Sustainable Computing and Optimized Practices for Excellence (SCOPE 2025).

Academic Excellence

Her academic development demonstrates sustained engagement with Computer Science, Artificial Intelligence, Machine Learning, and Computer Vision. In addition to her doctoral research and academic qualifications, she completed the NPTEL 12-week course “Neural Networks for Computer Vision and Natural Language Processing” with a Gold and Elite Certificate during January–April 2026. The application also records NPTEL Elite Certificates in “Introduction to Machine Learning” and “Python for Data Science,” together with her role as a conference reviewer.

Societal / Industry Contribution

Her research has practical relevance to agriculture through the application of Artificial Intelligence and Computer Vision for automated plant disease diagnosis, plant-stress detection, and fruit-quality grading. By developing computational approaches for precision agriculture, her work supports the broader objective of improving agricultural monitoring and decision-making through intelligent technologies. Her teaching and academic roles have also involved student development, curriculum improvement, career development, and engagement with more than 3,000 students.

Global Recognition

Srijah S’s research has gained scholarly visibility through publications in international journal and conference venues, including Pakistan Journal of Agricultural Sciences, Scientific Reports, and Springer Nature conference proceedings. Her academic recognition also includes the Thiagarajar Research Fellowship, NPTEL certifications in advanced Artificial Intelligence and Machine Learning-related subjects, and professional service as a conference reviewer.

Publications

1. Smart Artificial Intelligence-Based Mango Leaf Disease Detection Using a Custom CNN with K-Fold Cross-Validation — Srijah S., Sridevi S., Rajaram S., & Diesy C. Pakistan Journal of Agricultural Sciences, 63, 459–468, 2026. DOI: 10.21162/PAKJAS/26.385.

2. A Hybrid Feature Fusion Framework Integrating HSM-CNN and GLCM-SVM for Real-Time Mango Grading — Srijah S. & Sridevi S. Scientific Reports, 2026. DOI: 10.1038/s41598-026-61228-9.

3. MobileNetV2: A Computationally Efficient Model for Mango Leaf Disease Diagnosis — Sasitharan S., Subbiah S., Malaichamy N. D., & Chelliah D. Premier Journal of Science (PJS), 14, Article 100164, 2025. DOI: 10.70389/PJS.100164.

4. Hybrid Deep Learning Framework for Automated Mango Leaf Stress Detection in Precision Agriculture — Srijah S. & Sridevi S. Thiagarajar Journal of Engineering, Science, Design and Technology, 2(1), 2026.

5. Tomato Leaf Disease Classification Using an Improved ResNet50 Architecture — Srijah S., Sridevi S., Ezhil G. R., & Saranya T. Proceedings of ACIT 2025, Springer Nature, pp. 529–539, 2025.

Professor Dr. Yash Paul Sharma is a distinguished cardiologist, academician, researcher, and interventional cardiology specialist with extensive expertise in clinical and preventive cardiology, complex coronary interventions, heart failure, cardiogenic shock, rheumatic heart disease, and innovative cardiovascular care. His professional work combines advanced clinical practice, medical education, cardiovascular research, innovation, and development of practical approaches for improving patient outcomes.

Online Profiles

Professor Dr. Yash Paul Sharma has contributed extensively to the international scientific and academic community through peer-reviewed publications, international scientific conferences, professional societies, academic collaborations, and cardiovascular research initiatives. His scholarly work encompasses clinical cardiology, interventional cardiology, cardiovascular disease prevention, heart failure, coronary artery disease, cardiogenic shock, cardiovascular genetics, biomarkers, and innovative treatment strategies.

Education

Professor Dr. Yash Paul Sharma completed his MBBS in 1985, MD in Medicine during 1988–1990, and DM in Cardiology during 1994–1996 at the Postgraduate Institute of Medical Education and Research, Chandigarh, establishing a strong academic and specialist foundation for his subsequent career in cardiology, interventional medicine, research, and medical education.

Research Focus

His research interests encompass coronary artery disease, acute coronary syndromes, complex coronary intervention, cardiogenic shock, heart failure, rheumatic heart disease, cardiovascular genetics, biomarkers, restenosis, cardiovascular risk factors, atrial fibrillation, cardiomyopathies, cardiovascular devices, anemia in cardiovascular disease, COVID-19 and cardiovascular complications, and affordable approaches to advanced cardiovascular healthcare.

Experience

Professor Dr. Yash Paul Sharma has developed a long-standing academic and clinical career in cardiology, progressing through medical, residency, specialist, consultant, and academic faculty positions before assuming senior leadership responsibilities in cardiology. His experience includes clinical cardiology, interventional procedures, patient management, postgraduate teaching, doctoral supervision, research leadership, departmental development, academic administration, professional examinations, and national and international scientific activities.

Research Timeline & Research Publications

His research journey encompasses investigations into rheumatic heart disease, coronary artery disease, cardiovascular genetics, paraoxonase activity and polymorphisms, endothelial dysfunction, heart-rate variability, restenosis, antiplatelet therapy, acute coronary syndromes, cardiogenic shock, heart failure, anemia, complex coronary interventions, cardiovascular devices, COVID-19, and advanced diagnostic and therapeutic strategies. His scholarly contributions include original research articles, clinical studies, case reports, reviews, conference publications, technical reports, and innovative interventional techniques spanning several decades.

Research Impact

His research has contributed to improved understanding and management of complex cardiovascular conditions, particularly cardiogenic shock, heart failure, anemia associated with cardiovascular disease, coronary artery disease, restenosis, acute coronary syndromes, and complex coronary lesions. His work emphasizes evidence-based, innovative, and resource-conscious approaches designed to improve cardiovascular outcomes while expanding access to effective treatment strategies.

Innovation & Intellectual Property

His innovation activities include development of the Yash PGI Flow Guided Technique and an improved angioplasty assembly device kit for crossing complex coronary lesions, diagnostic tools for identifying patients at risk of restenosis or coronary disease, a novel low-cost formulation for cardiovascular and polysystemic diseases, an anti-thirst and hemodynamic stability device, and patented technology involving eating with the help of brain signals. His work also includes innovative techniques for complex coronary and peripheral lesions and advanced cardiovascular procedures.

Research Projects & Funding

His research portfolio includes projects involving rheumatic fever and rheumatic heart disease, acute coronary syndromes, cardiovascular genetics, restenosis, microarray-based genomic research, cardiogenic shock, heart failure, cardiovascular risk factors, atrial fibrillation, coronary stent registries, tele-cardiology, COVID-19 screening and serology, voice-based COVID-19 screening, device-detected atrial tachyarrhythmia, coronary intravascular lithotripsy, and inclusive, sustainable and affordable healthcare.

Conference Contributions

Professor Dr. Yash Paul Sharma has contributed to national and international cardiovascular conferences through scientific presentations, invited faculty participation, moderation, technical demonstrations, case presentations, and discussion of innovative interventional techniques. His international academic engagements have included scientific meetings and cardiovascular programs in countries including Singapore, Japan, the United States, China, Canada, and Taiwan.

Academic Excellence

His academic contribution includes teaching and mentoring medical students, postgraduate students, DM Cardiology trainees, PhD researchers, nursing students, and other healthcare professionals. He has contributed to structured cardiology education, clinical meetings, clinical-pathological discussions, public-awareness teaching, postgraduate examinations, academic assessment, doctoral committees, faculty selection, curriculum development, and professional training in value-based cardiology and innovative interventional techniques.

Societal / Industry Contribution

His societal contribution includes public cardiovascular awareness, medical education, interactions with policymakers and professional organizations, television and radio educational activities, and participation in initiatives addressing cardiovascular and broader healthcare challenges. His work has also focused on strategic screening, diagnosis, management, and healthcare delivery, including initiatives aimed at improving cardiovascular care and supporting affordable healthcare solutions.

Global Recognition

Professor Dr. Yash Paul Sharma has achieved international professional recognition through fellowships and memberships in leading cardiovascular and medical organizations, including the Society for Cardiovascular Angiography and Interventions, Cardiological Society of India, Indo-European Intervention Council, International Society of Heart Research, Indian College of Interventional Cardiology, Association of Physicians of India, and Indian Medical Association.

Publications

1. Sharma YP, Kasinadhuni G, Santosh K, Parashar NK, Sharma R, Bootla D, Kanabar K, Krishnappa D. Prognostic role of procalcitonin in ST-elevation myocardial infarction complicated by cardiogenic shock. Asian Cardiovascular and Thoracic Annals. 2021;29(8):751–757. DOI: 10.1177/0218492320987918.
2. Sharma YP, Vemuri KS, Bootla D, Kanabar K, Pruthvi CR, Kaur N, Nevali KP, Panda P, Kasinadhuni G, Uppal L, Mohanty S. Epidemiological profile, management and outcomes of patients with acute coronary syndrome: Single centre experience from a tertiary care hospital in North India. Indian Heart Journal. 2021;73(2):174–179.
3. Batta A, Panda P, Singh H, Sharma YP. Role of PET/CT scan in identifying late-onset graft infection following Bentall procedure. BMJ Case Reports. 2021;14(9):e243834.
4. Sharma YP, Kasinadhuni G, Santosh K, Parashar NK, Sharma R, Bootla D, Kanabar K, Krishnappa D. Prognostic role of procalcitonin in ST-elevation myocardial infarction complicated by cardiogenic shock. Asian Cardiovascular and Thoracic Annals. 2021. DOI: 10.1177/0218492320987918.
5. Navneet Arora, Prashant Kumar Panda, Pruthvi CR, Lipi Uppal, Atul Saroch, Navneet Sharma, Yash Paul Sharma, Rajesh Vijayvergiya, Manoj Kumar Rohit, Ankur Gupta, Bhupinder Kumar Sihag, Ashok Kumar Pannu. Changing Spectrum of Infective Endocarditis in India: An 11-year Experience from an Academic Hospital in North India. Indian Heart Journal. 2021. ISSN 0019-4832.
6. Yash Paul Sharma, Lipi Uppal, Prashant Panda, Soumitra Mohanty, Naga Ganeshkumar Kasinadhuni, Darshan Krishnappa, Saurabh Mehrotra, Ankur Gupta, Krishna Prasad, Krishna Santosh, Dinakar Bootla, Soumitra Ghosh. One-year Outcomes of Novel BioMime Morph Tapered Stent in Long and Multiple Coronary Artery Lesions. Anatolian Journal of Cardiology. Ahead of Print. Article No. AJC-05763.
7. Pattanaik S, Malhotra S, Sharma YP, Pandhi P. Comparison of alternate-day atorvastatin treatment to daily treatment in maintaining LDL-cholesterol targets in patients with variable coronary risk profile. Journal of Cardiovascular Pharmacology. 2012;59(5):479–484. DOI: 10.1097/FJC.0b013e31824ba699.
8. Dhibar DP, Sharma YP, Bhadada SK, Sachdeva N, Sahu KK. Association of Vitamin D Deficiency with Coronary Artery Disease. Journal of Clinical and Diagnostic Research. 2016;10(9):OC24–OC28. DOI: 10.7860/JCDR/2016/22718.8526.
9. Panda P, Prasad K, Jaswal V, Gupta K, Pruthvi CR, Santosh K, Bootla D, Sharma YP. Angio-cardiographic Demonstration of Right Atrial Myxoma. 2021;5(2):181–182.
10. Uppal L, Barwad P, Sharma YP. Acute vertebral occlusion in a case of subclavian artery stenting. IHJ Cardiovascular Case Reports. 2021;5(2):105–107.
11. Sharma YP, Panda P, Uppal L. Rapid Response: Albumin and its potential role in COVID-19. BMJ. 2020;368:m810.
12. Sharma YP, Panda P, Kaur N. COVID-19: Reply to European countries suspend use of Oxford-AstraZeneca vaccine after reports of blood clots. BMJ. 2021;372:n699.
13. Vikas K, Rupesh K, Yash Paul Sharma, Barwad P. Iatrogenic diversion of inferior vena cava to left atrium—A rare complication of surgical ASD repair. IHJ Cardiovascular Case Reports. 2018;2(3):221–223.
14. Barwad P, Singhal M, Sharma YP. Clinical Spectrum of Acute or New-Onset Atrial Fibrillation. Journal of the Association of Physicians of India. 2016;64(8 Suppl):16–20.
15. Sharma YP, Barwad P. Use of Cut Pigtail Catheter for Difficult LV Lead Placement in a Patient Undergoing CRT-D – A Novel Technique. APHRS 2018, Taipei, Taiwan.
16. Barwad P, Sharma YP. Percutaneous intervention for chronic total occlusion in resource limited settings. Asia Intervention. 2019;5:81.
17. Barwad P, Sharma YP. Innovative techniques to stabilise LV lead in difficult coronary sinus anatomy – a single-centre experience. India Live Abstracts. 2019:93.
18. Kumar R, Sharma YP, Chakraborti A. Streptococcal pharyngitis, rheumatic fever and rheumatic heart disease: Eight-year prospective surveillance in Rupnagar district of Punjab, India. National Medical Journal of India. 2014.
19. Arora M, Kaul D, Sharma YP. Human coronary heart disease: importance of blood cellular miR-2909 RNomics. Molecular and Cellular Biochemistry. 2014;392(1):49–63.
20. Maturu VN, Gupta N, Singh G, Gill K, Sharma YP, Singh S. Serum Paraoxonase (PON1) activity in North-West Indian Punjabi’s with acute myocardial infarction. Indian Journal of Clinical Biochemistry. 2013;28(3):248–254.
21. Chauhan NS, Sharma YP, Bhagra T, Sud B. Branchial fistula arising from pyriform fossa: CT diagnosis of a case and discussion of radiological features. Clinical Imaging. 2012;36(5):591–594.
22. Toor D, Leal K, Kumar R, Sharma YP, Chakraborti A. Association of HLA-DRB114 with rheumatic heart disease patients from Chandigarh, North India.* Biomarkers. 2012;17:160–165.
23. Malhotra S, Bhargava VK, Grover A, Pandhi P, Sharma YP. A randomized trial to compare the efficacy, safety, cost and platelet aggregation effects of enoxaparin and unfractionated heparin (the ESCAPEU trial). International Journal of Clinical Pharmacology and Therapeutics. 2001;39(3):110–115.
24. Kumar R, Sharma YP, Gupta I. Tricuspid regurgitation in a pair of twins at birth secondary to antenatal indomethacin. Indian Pediatrics. 2001.
25. Grover A, Bhatnagar A, Sharma YP, Ganguly NK. Mechanisms of involvement of T+ cells and B-cells in rheumatic heart disease. European Heart Journal. 2000.
26. Malhotra S, Karan RS, Bhargava VK, Pandhi P, Grover A, Sharma YP. A meta-analysis of controlled clinical trials comparing low-molecular-weight heparins with unfractionated heparin in unstable angina. Indian Heart Journal. 2000;53(2):197–202.
27. Namboodiri KN, Sharma YP, Bali HK, Grover A. Re-use of Explanted DDD Pacemakers as VDD – Clinical Utility and Cost Effectiveness. 2000.
28. Kaushik NK, Sharma YP, Negi A, Jaswal A. Images—Gastric Trichobezoar. Indian Journal of Radiology and Imaging. 1999;9(3):137.
29. Kaushik NK, Mehta V, Negi A, Sharma YP, Sharma RK. Radiological Quiz Gastro-intestinal. Indian Journal of Radiology and Imaging. 1997;7:117–118.
30. Sharma YP, Kaur N, Kasinadhuni G, et al. Anemia in heart failure: still an unsolved enigma. Egyptian Heart Journal. 2021;73:75. DOI: 10.1186/s43044-021-00200-6.
31. Panda P, Sharma YP, Singh N, Kaur N, et al. Delay in Seeking Medical Treatment Among Patients With Acute Coronary Syndrome. Cureus. 2021;13(8):e17369. DOI: 10.7759/cureus.17369.
32. Sharma YP, Prasad K, Patel N, et al. Acute myocardial infarction in a young patient with triple valve replacement. 2021.