Dr. S. I. Saheed Askar is a dedicated medical microbiologist, academician, researcher, and emerging interdisciplinary professional with expertise spanning clinical microbiology, infection prevention and control, antimicrobial resistance, infectious diseases, artificial intelligence in healthcare, and medical education. He has been serving as an Assistant Professor of Microbiology at Government Ramanathapuram Medical College, Ramanathapuram, Tamil Nadu, since June 2021. Prior to this, he worked as a Junior Resident in Microbiology at Tirunelveli Medical College from May 2018 to June 2021.

His commitment to multidisciplinary learning is reflected in additional qualifications and professional training in Artificial Intelligence and Machine Learning, Hospital Infection Prevention and Control, Higher Education, Diabetology, Tumor Immunology and Cancer Biology, Generative AI, and medical curriculum implementation. He has also undertaken advanced infection-control training through CAHO and an Advanced Post Graduate Diploma in Hospital Infection Prevention and Control from NHCA Singapore.

Research & Scientific Contributions

Dr. Askar has developed a research profile at the intersection of microbiology and emerging healthcare technologies. His recent work particularly emphasizes the application of AI and machine learning to clinical microbiology, including diagnostic accuracy, antimicrobial susceptibility testing, antimicrobial resistance prediction, workflow optimization, and precision clinical decision-making.

His research portfolio includes systematic reviews and meta-analyses addressing multidrug-resistant pathogens, metagenomic next-generation sequencing, rabies diagnosis, paediatric infectious diseases, dengue–scrub typhus co-infection, nanotechnology-based antimicrobial delivery, cholera, and hospital-community surveillance of enteric pathogens. His publications demonstrate a strong interest in translating technological and microbiological advances into clinically meaningful applications.

Publications & Scholarly Output

Dr. Askar has authored and co-authored numerous research articles published during 2025–2026, covering clinical microbiology, infectious diseases, antimicrobial resistance, AI-assisted diagnostics, molecular diagnostics, and healthcare technology. His work on AI-augmented diagnostics in clinical microbiology and AI in antimicrobial susceptibility testing highlights his efforts to modernize conventional microbiological practices through data-driven approaches.

Books & Academic Contributions

Dr. Askar has made significant scholarly contributions through authored books and book chapters that bridge clinical microbiology, infectious diseases, and emerging healthcare technologies. He is the author of Artificial Intelligence in Healthcare Systems: Clinical Diagnostics, Infectious Disease Insights, and Decision Support, which explores machine learning, deep learning, natural language processing, precision medicine, clinical decision-support systems, telemedicine, and the ethical and regulatory dimensions of artificial intelligence in healthcare.

He has also recently authored Artificial Intelligence in Clinical Microbiology: From Diagnostics to Digital Health Systems, a comprehensive work that examines the transformative role of artificial intelligence in modern microbiology. The book discusses AI-driven diagnostics, antimicrobial susceptibility testing, antimicrobial resistance prediction, laboratory automation, digital health integration, precision medicine, data analytics, and future innovations shaping clinical microbiology practice. This contribution further reflects his commitment to integrating advanced computational technologies with laboratory medicine and infectious disease management.

In addition, Dr. Askar contributed two chapters—Viral Infections and HIV & Opportunistic Infections in Children—to Diagnostics Frontier in Paediatric Infection – Strategies for Indian Clinicians, supporting the dissemination of contemporary diagnostic approaches and clinical knowledge relevant to pediatric infectious diseases in the Indian healthcare setting.

Awards, Recognition & Achievements

Dr. Askar's achievements extend beyond conventional academic research. He was associated with a Guinness World Records achievement for the most viewers of an Artificial Intelligence (AI) in Healthcare lesson livestream on YouTube conducted by the National Board of Examinations in Medical Sciences (NBEMS), Ministry of Health and Family Welfare, Government of India.

He has also received the NBS Anbu Maruthuvar Award and was recognized by the Canadian Intellectual Property Office as an Infection Control Strategy Advisor for a registered work concerning infection-related complications and management of artificial ocular prostheses.

Notably, his systematic review and meta-analysis on advancing rabies diagnosis received recognition in connection with the WHO “Zero by 2030” rabies campaign, highlighting the potential relevance of his research to global rabies elimination initiatives.

Ongoing Research

His current research activities include investigations into the clinical and immunological spectrum of HIV infection, including seroprevalence, opportunistic infections, CD4 dynamics, and molecular characterization. He is also involved in research examining the seroprevalence of HIV, hepatitis B, and hepatitis C among tuberculosis patients in a tertiary-care hospital in Tamil Nadu.

Interdisciplinary Expertise

A distinguishing feature of Dr. Askar's career is his integration of microbiology with artificial intelligence, infection control, molecular diagnostics, antimicrobial stewardship, and healthcare education. His combination of clinical microbiology experience, advanced professional training, research publications, book contributions, and technology-oriented scholarship demonstrates an innovative approach to contemporary healthcare challenges.

Eligibility for Innovative Researcher of the Year 

Dr. S. I. Saheed Askar is eligible for the Innovative Researcher of the Year Award in Scientific Laurels based on his demonstrated contributions to innovative and interdisciplinary research. His work combines clinical microbiology with artificial intelligence and emerging diagnostic technologies, particularly in AI-assisted diagnostics, antimicrobial resistance prediction, molecular detection, and precision healthcare. His extensive recent publication record, book authorship and chapter contributions, multidisciplinary qualifications, ongoing infectious-disease research, and recognition for work connected with global health initiatives collectively establish a strong profile for an award recognizing research innovation, interdisciplinary thinking, scientific advancement, and potential clinical impact.