Dr. Chitradevi D – Health Informatics – Best Researcher Award

Dr. Chitradevi D - Health Informatics - Best Researcher Award

SRM Institute of Science and Technology - India

Author Profile

ORCID

Summary

Dr. Chitradevi D. is a seasoned academician with over 18 years of experience in engineering education and 2 years in the IT industry. She holds a Ph.D. in Computer Science and Engineering and has a strong academic background, including an M.E. with a university rank. She has worked extensively in teaching, research, and academic administration. Her research interests include digital image processing, biomedical engineering, machine learning, deep learning, and optimization techniques. She has guided numerous postgraduate projects and handled a wide range of technical subjects such as artificial intelligence, Python, Java, and data structures.

Her leadership roles include contributions to NAAC, IQAC, convocation committees, and curriculum development, while also serving as an examiner and validation committee member across institutions. She has also incorporated modern technologies like power electronics into computing systems, especially in embedded applications and smart solutions.

Early academic pursuits

Dr. Chitradevi D. began her academic journey with a strong foundation in the sciences, earning a B.Sc. in Chemistry from Holy Cross College in 1999 with a commendable 76%. She later shifted her focus to computing, pursuing a Master of Computer Applications (MCA) at the same institution, achieving 78% in 2002. Her academic excellence continued as she completed her M.E. in Computer Science from Hindustan College of Engineering (Anna University), securing the 15th University Rank in 2009. Her passion for computer science culminated in a Ph.D. in Computer Science and Engineering from Hindustan Institute of Technology and Science (HITS) in 2020. This educational trajectory, grounded in both theory and application, has played a vital role in shaping her Health Informatics contributions to teaching and research in emerging areas, including power electronics applications in embedded systems.

Professional endeavors

With over 18 years of academic experience, Dr. Chitradevi has held various key roles in renowned institutions. She currently serves as an Associate Professor at SRM Institute of Science and Technology, Trichy. Her earlier appointments include a long-standing tenure at Hindustan Institute of Technology and Science (2006–2023) and a prior role at Pavendar Bharathidasan College of Engineering. Complementing her academic journey is 2 years of IT industry experience, where she worked as a Health Informatics Software Programmer at Techzone Software Solutions and Jine Infotech. Her real-world experience continues to inform her teaching, particularly in programming, database systems, and digital systems integrated with power electronics.

Contributions and research focus

Dr. Chitradevi has made remarkable contributions in both academic coordination and research. She has handled a wide spectrum of subjects, including Artificial Intelligence, Data Science, Java, Python, Distributed Systems, and Design Thinking. She has actively guided postgraduate research projects in areas such as digital image processing, biomedical engineering, and machine learning. Her Ph.D. research primarily revolved Health Informatics around optimization techniques, artificial intelligence, and deep learning models — with applications spanning from bio-medical diagnostics to image recognition. Her involvement in newsletter editing, exam evaluation, NAAC, IQAC, and government-conducted exams reflects her holistic commitment to institutional excellence.

Impact and influence

Dr. Chitradevi's influence extends beyond her classroom. She has actively contributed to institutional development by holding various administrative and academic responsibilities — including Research Coordinator, IQAC & NAAC Coordinator, Convocation Committee Head, and more. Her contributions to organizing events like Millet Mela (Government Initiative) highlight her interest in community outreach. Furthermore, her leadership in curriculum design, examination validation, and faculty development has Health Informatics significantly impacted academic governance. Her academic service also includes acting as an Examiner for Anna University and Hindustan University, directly influencing quality assurance in technical education.

Academic cites and recognitions

Her role in academia has been backed by citations and validations from recognized bodies. Dr. Chitradevi has served as an examiner at both internal and external levels, contributed to central evaluation work, and actively participated in question paper validation committees. She has worked closely with governing boards in both university-level assessments and government service examinations, Health Informatics earning a reputation for diligence and expertise. These contributions ensure that the outcomes of examinations and course content uphold academic standards across institutions.

Legacy and future contributions

Dr. Chitradevi’s legacy lies in her commitment to developing technically sound and ethically responsible graduates. She continues to focus on mentoring students in advanced domains like machine learning, artificial intelligence, and digital optimization. In the coming years, she aims to further her research and academic output, particularly by integrating power electronics into interdisciplinary Health Informatics computing applications — such as energy-efficient embedded systems and smart automation. Her dedication to collaborative growth and knowledge dissemination places her at the forefront of innovation-driven education.

Notable Publications

  1. Title: MR Brain Screening using Optimization Techniques – A Survey
    Authors: Chitradevi, D.; Prabha, S.
    Journal: Current Medical Imaging
    Year: 2023
  2. Title: Hybrid Whale and Gray Wolf Deep Learning Optimization Algorithm for Prediction of Alzheimer’s Disease
    Authors: Chitradevi D, Sathish Kumar Mani, Sandeep Kumar M, Senthilkumar Mohan, Prabhu Jayagopal, Saurav Mallik, Hong Qin
    Journal: Mathematics
  3. Title: Academic Performance Prediction Using Machine Learning: A Comprehensive & Systematic Review
    Authors: Chakrapani, P.; Chitradevi, D.
    Conference: International Conference on Electronic Systems and Intelligent Computing (ICESIC)
    Year: 2022
  4. Title: Predictive Analytics of Road Accidents Using Machine Learning
    Authors: Kaliraja, C.; Chitradevi, D.; Rajan, A.
    Conference: International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
    Year: 2022
  5. Title: Simulation of Machine Learning Techniques to Predict Academic Performance
    Authors: Chakrapani, P.; Chitradevi, D.
    Conference: International Conference on Electronic Systems and Intelligent Computing (ICESIC)
    Year: 2022

Conclusion

Dr. Chitradevi's career reflects a blend of academic excellence, technical depth, and administrative leadership. Her multifaceted contributions have significantly impacted both students and institutional frameworks. With a research-driven mindset and a future-oriented vision, she continues to integrate power electronics with intelligent computing to develop advanced educational and research practices. Her work not only strengthens the academic community but also paves the way for innovative interdisciplinary solutions in engineering and technology.

Mrs. Chittepu Sireesha – Deep Learning – Best Researcher Award

Mrs. Chittepu Sireesha - Deep Learning - Best Researcher Award

SR University - India

Author Profile

SCOPUS

ORCID

Summary

Sireesha Chittepu is a seasoned academic with over 15 years of teaching experience in computer science and engineering. Her educational background includes a B.Tech and M.Tech in software and computer sciences, and she is currently pursuing a Ph.D. in Computer Science and Engineering at SR University. Throughout her career, she has demonstrated strong proficiency in subjects ranging from data structures to NLP and software testing. Notably, she has contributed significantly to institutional development through her roles as a coordinator for national-level hackathons, class mentor, and virtual lab leader in collaboration with IITH. Her research interest is expanding into areas that blend software innovation with applied domains such as power electronics, where she aims to enhance the interaction between software systems and hardware frameworks. She has also designed internal tools such as attendance and feedback systems to streamline academic administration.


Early academic pursuits

Sireesha Chittepu laid the foundation of her academic journey with a strong focus on the sciences, securing 85.6% in her Intermediate studies and 82% in her SSC. She pursued her B.Tech in Computer Science and Information Technology from Rajiv Gandhi Memorial College of Engineering and Technology under JNTU, achieving 70%. Further strengthening her expertise, deep learning she completed an M.Tech in Software Engineering from VNR Vignana Jyothi Engineering College, Hyderabad, with 78%. Currently, she is pursuing a Ph.D. in Computer Science and Engineering from SR University, Telangana, aligning her research with cutting-edge trends including power electronics, AI integration, and automation.

Professional endeavors

With over 15 years of teaching experience, Sireesha Chittepu has been a cornerstone in the academic development of countless students. Her journey began in 2003 and includes tenure at Alpha College of Engineering, Sree Nidhi Institute of Science and Technology, and Stanley College of Engineering and Technology for Women. Since 2015, deep learning she has been serving as an Assistant Professor at Vasavi College of Engineering, Hyderabad, demonstrating excellence in pedagogy and department-level coordination. Her professional engagements frequently intersect with power electronics, where she integrates software systems to improve learning tools and virtual lab environments.

Contributions and research focus

Sireesha’s teaching expertise spans a wide range of computer science subjects such as Compiler Construction, Data Structures, Software Engineering, and Natural Language Processing. She has developed and implemented innovative tools such as an attendance tracking system and a feedback management system, both of which enhance academic management deep learning. Her research focus aligns with emerging technologies and includes interdisciplinary studies where software engineering intersects with hardware systems like power electronics, emphasizing system-level integration and smart computing applications.

Impact and influence

In her role as Department Coordinator for Hackathons, Co-curricular and Extracurricular Activities, and SPOC for Smart India Hackathons (2019–2020), Sireesha has mentored students in national-level innovation challenges. Her coordination with institutions like IIT-Hyderabad for virtual labs reflects her impact on advancing academic infrastructure. She also contributes to curriculum development and exam preparation, influencing academic delivery deep learning across several institutions. These contributions indirectly support power electronics education by encouraging cross-domain thinking and system-oriented learning approaches among students.

Academic cites

While her Ph.D. is ongoing, Sireesha Chittepu's academic involvement includes preparing university-level question papers, developing lesson plans, and assessing student performance through structured evaluation methods. Though no formal citation index was mentioned, her continuous evaluation roles, seminar engagements deep learning, and project mentorships suggest a strong academic presence that is evolving towards publication and citation in future academic platforms.

Legacy and future contributions

Sireesha aims to bridge the gap between education and innovation, with a long-term vision of contributing to academia through research, digital tools, and cross-disciplinary teaching. Her future goals include publishing impactful research, particularly in the convergence of software engineering and power electronics, and mentoring future educators and deep learning researchers. As she continues her doctoral research, she is poised to leave a legacy defined by practical innovation, academic excellence, and a deep commitment to student-centric learning.

Notable Publications

  1. Title: Enhancing Medicinal Plant Prediction Through Deep Neural Network Algorithms
    Authors: Munigala Swapna, Sireesha Chittepu, Sanjana Gavada, Sreeja Barigela
    Publication: Communications in Computer and Information Science (CCIS) – Book Chapter
    Year: 2025
  2. Title: Improving Air Quality Prediction: A Study on Data-Driven Techniques and Advanced Sensing Technologies
    Authors: Yeshwanth Reddy, C. Sireesha
    Publication: Lecture Notes on Data Engineering and Communications Technologies – Book Chapter
    Year: 2025
  3. Title: Dynamic Conditional Encoding and Feature Frequency Parsing in Diffusion Probabilistic Models for Diabetic Foot Ulcer Detection Using Thermographic Imaging
    Authors: Kousar Nikhath A, Sireesha C, Swapna M, Vijayetha Thoday, Esther Rani D
    Publication: Journal of Biomedical Photonics & Engineering
    Date: 2025-03-31
  4. Title: A ResNet Based Plant Disease Diagnosis Platform
    Authors: Sireesha Chittepu, Suchith B, Deepthi M
    Publication: 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC)
    Date: 2025-03-06
  5. Title: Enhancing the Surveillance, Assessment, and Tracking of Mental Health and Well-being Using Deep Learning Techniques
    Authors: Sireesha Chittepu, Sheshikala Martha
    Publication: 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC)
    Date: 2025-03-06

Conclusion

Sireesha Chittepu's career reflects a commitment to academic excellence, hands-on innovation, and student empowerment. Her proactive involvement in research, curriculum design, and co-curricular coordination showcases her holistic approach to education. As she continues her Ph.D., her contributions are expected to deepen, particularly in interdisciplinary research areas including power electronics, where her experience in software systems can offer new insights. Looking ahead, Sireesha is well-positioned to influence future educational practices, mentor the next generation of engineers, and contribute meaningfully to research that connects computation with real-world systems.