Dr. Srividhya G is an experienced Computer Science academician, researcher, and technology professional with expertise spanning Artificial Intelligence, Machine Learning, Big Data Analytics, Operating Systems, Computer Programming, Artificial Neural Networks, and Bioinformatics. She has developed a substantial academic career across reputed institutions in India and has also gained international project exposure at the National University of Singapore.

Since October 2021, she has been serving as Senior Assistant Professor at New Horizon College of Engineering, Bangalore. Prior to this, she served as Associate Professor at AMC Engineering College, Bangalore, from August 2011 to September 2021. Her earlier academic appointments include Lecturer at BMS Institute of Technology and Sathyabama Deemed University. She also worked as a Project Trainee at the Department of Animal Husbandry Statistics and Computer Applications, Madras Veterinary College, and at the National University of Singapore.

Research & Areas of Expertise

Dr. Srividhya's research interests are strongly centered on Artificial Intelligence and Machine Learning, with applications in healthcare, cybersecurity, agriculture, cloud computing, computer vision, and intelligent systems. Her notable research includes the application of machine learning and deep learning for early detection of Autism Spectrum Disorder (ASD) using healthcare and facial-recognition data.

Her work has explored algorithms and models including Support Vector Machines, K-Nearest Neighbour, Decision Trees, Random Forest, CNN and VGG16, with research demonstrating promising classification and detection performance for ASD. Her broader expertise encompasses Big Data Analytics, Artificial Neural Networks, Bioinformatics databases and tools, wireless sensor networks, and cloud computing.

Publications & Scholarly Contributions

Dr. Srividhya has an extensive publication record covering AI, machine learning, healthcare, cybersecurity, wireless networks, cloud computing, augmented reality, agriculture, and data science. Her publications include research on:

• Machine-learning-based prediction of Autism Spectrum Disorder
• Sustainable healthcare communities and ASD prediction
• Facial-recognition-based autism detection
• Lung segmentation using computer-aided diagnosis
• Machine learning and deep learning for intrusion detection
• Energy-efficient routing in wireless sensor networks
• Secure cloud computing and outsourced encrypted data
• Augmented Reality as a visual aid for classrooms
• Blockchain-based agricultural data tracking
• AI-driven plant disease diagnosis
• Quantum-secure data pseudonymization and key management

Her recent publications in 2025–2026 demonstrate continued research activity in emerging technologies such as quantum security, blockchain, optimization algorithms, intelligent analytics, and AI-based agricultural applications.

Books & Academic Contributions

Dr. Srividhya has contributed to academic literature through book publications including “Advanced Data Science and Intelligent Analytics” and “Fundamentals of Computing System.” Her involvement in academic publishing and editorial activities further reflects her commitment to knowledge dissemination and computer science education.

Patents & Innovation

A significant aspect of her research profile is her contribution to intellectual property and technology innovation. She has been associated with multiple Indian Patent Office grants/applications involving AI and intelligent systems, including:

• AI-based collision avoidance in autonomous vehicles
• AI-based autonomous vehicle navigation and tracking
• AI-enabled detection of neurological disorders
• Early detection of Autism Spectrum Disorder using enhanced facial recognition
• Prediction of Autism Spectrum Disorder using machine-learning techniques
• Intelligent resource allocation for cloud computing using quantum-task optimization

These innovations demonstrate her ability to translate research concepts into practical technological solutions.

Awards & Academic Recognition

Dr. Srividhya has received several recognitions for her academic and research contributions. She received the Uttama Adhyapika Award from Bharat Education Excellence in 2025 and a Research Excellence Award from the Institute of Scholars. She also achieved University Second Rank in M.Tech. Bioinformatics from Sathyabama Deemed University.

Her academic engagement is further demonstrated through her recognition as an NPTEL Top Performing Mentor, service as a reviewer for IEEE conference papers, and editorial contributions to academic publications.

Professional Development & Academic Engagement

Dr. Srividhya has completed 50 Coursera certifications covering areas such as Machine Learning, Deep Learning, Big Data, Cybersecurity, IoT, JavaScript, Random Forest using R, and software engineering. She has additionally completed NPTEL, IGNOU, NITTT, AICTE-ATAL, and other professional development programmes.

She has organized national-level workshops, including programmes on Big Data Insights and DST-supported Big Data initiatives, while also participating in numerous workshops and faculty development programmes across India.

Research Impact

Dr. Srividhya G's research profile reflects a multidisciplinary approach to computer science, integrating AI and machine learning with healthcare, intelligent transportation, cybersecurity, agriculture, cloud computing, and data analytics. Her sustained academic experience, substantial publication portfolio, patents, book contributions, awards, mentoring activities, and engagement with emerging technologies establish her as an active researcher and educator.

Eligibility for Excellent Researcher Award 

Dr. Srividhya G is eligible for the Excellent Researcher Award in Scientific Laurels based on her sustained contributions to research, teaching, innovation, and academic development. Her eligibility is supported by her extensive academic experience, multidisciplinary research portfolio, publications in AI and machine learning, multiple patents/design grants, book publications, research excellence recognition, University Second Rank, professional certifications, IEEE reviewing activities, and research on socially significant applications such as Autism Spectrum Disorder detection.

Her continued research activity in Artificial Intelligence, Machine Learning, Big Data, Quantum Computing, Blockchain, Computer Vision, Healthcare Informatics, and Intelligent Systems, together with demonstrated innovation and academic leadership, makes her a strong candidate for recognition under the Excellent Researcher Award category of Scientific Laurels.