With over 3 years of hands-on experience, Dr. Sowmya specializes in implementing cutting-edge machine learning and deep learning algorithms, particularly in areas like image recognition and ML-based optimization techniques. Her endeavors have yielded exceptional results, boasting accuracy rates exceeding 95% and significantly reducing resource consumption.
👩🏫 Academic Contributions:
Dr. Sowmya’s passion for teaching shines through her exceptional skills honed over 6 years in academia. She has not only imparted knowledge but also contributed significantly to research, presenting and publishing her findings in esteemed conferences and international journals.
📚 Publications & Presentations:
Her research contributions have left an indelible mark on the field, with notable publications and presentations including:
- Co-authoring a chapter on “Intelligent Machine Learning approach for CIDS – Cloud Intrusion Detection system” in Computer Networks, Big Data, and IoT 2021.
- Presenting papers at ICCBI 2020 and ICCIC 21 on intelligent machine learning approaches for intrusion detection systems and machine learning methods in Autism Spectrum Disorder.
- Co-authoring papers in reputable journals such as IJISAE and Measurement: Sensors, covering topics like network intrusion detection systems and AI-based security frameworks.
- Collaborating on innovative frameworks leveraging technologies like blockchain, machine learning, and artificial intelligence to counteract cybersecurity threats in smart cities.
🌐 Future Endeavors:
Awaiting publication of her latest work on “Detection of DoS Attacks Using Machine Learning Based Intrusion Detection System” in IEEE conference proceedings, Dr. Sowmya continues to push the boundaries of AI research, with a steadfast commitment to innovation and excellence.