Dr. Paolo Ingallinella | Diagnostics | Best Researcher Award

Dr. Paolo Ingallinella | Diagnostics | Best Researcher Award

Diasorin | Italy

Dr. Paolo Nunzio Ingallinella is a distinguished biotech director at Diasorin Italia Spa, with over many years of expertise in peptide and protein chemistry for therapeutic and diagnostic applications. he holds a master’s degree in chemistry from the university of naples and began his career at irbm, where he contributed to groundbreaking antiviral research, developing potent hcv peptide inhibitors and an hiv fusion inhibitor that advanced antiviral drug design. He has been leading innovative diagnostic projects at diasorin, including the development of the first automated immunoassays for hdv and hev antibodies and Diagnostics broad-spectrum legionella antigen detection systems. his extensive research portfolio includes 25 completed or ongoing projects, 23 journal publications indexed, and 20 patents published or under process. According to scopus metrics, Dr. Ingallinella has an h-index of 19 with a total of 1,616 citations, reflecting his strong influence in the biotechnology and immunodiagnostics fields. his work focuses on recombinant protein and monoclonal antibody development, biomarker discovery, and molecular biology applications in diagnostics and therapeutic peptide chemistry. A member of the Italian peptide society, Dr. Ingallinella continues to shape the landscape of modern biotechnology through innovation and scientific leadership.

Profile: Scopus

Featured Publications

Ingallinella, P. N., et al. (2025). The LIAISON® Legionella Urinary Ag assay: A novel high-throughput, fully automated dual-antigen detection method with improved sensitivity and expanded Legionella species and serogroup coverage. Respiratory Investigation.

Ingallinella, P. N., et al. (2014). Development of a neuromedin U–human serum albumin conjugate as a long-acting candidate for the treatment of obesity and diabetes: Comparison with the PEGylated peptide. Journal of Peptide Science.

Ingallinella, P. N., et al. (2013). A PEGylated analog of the gut hormone oxyntomodulin with long-lasting antihyperglycemic, insulinotropic, and anorexigenic activity. Bioorganic & Medicinal Chemistry.

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.