Invited Speaker
Dr. Vinayakumar Ravi

Dr. Vinayakumar Ravi

Assistant Research Professor, Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia
Speech Title: To be updated

Biography: Vinayakumar Ravi is an Assistant Research Professor at the Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. My previous position was as a Postdoctoral research fellow in developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining with Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA from September 2019 to September 2020. He received his PhD degree in computer science from Computational Engineering & Networking, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India. His PhD work centres on the Application of Machine learning (sometimes Deep learning) for Cyber Security and discusses the importance of Natural language processing, Image processing and Big data analytics for Cyber Security. His current research interests include applications of data mining, Artificial Intelligence, machine learning (including deep learning) for biomedical informatics, Cyber Security, image processing, and natural language processing. More details are available at https://vinayakumarr.github.io/. He has more than 50 research publications in reputed IEEE conferences, IEEE Transactions and Journals. His publications include prestigious conferences in the area of Cyber Security, like IEEE S&P and IEEE Infocom. He has given many invited talks on deep learning applications at IEEE conferences and Industry workshops in 2018. He has got a full scholarship to attend Machine Learning Summer School (MLSS) 2019, London. Dr. Ravi has served as a Technical Program Committee (TPC) member at international conferences including SSCC Symposium, IEEE TrustCom-2020, and IEEE SmartData-2020. He is an editorial board member for the Journal of the Institute of Electronics and Computer (JIEC), International Journal of Digital Crime and Forensics (IJDCF), and he has organized a shared task on detecting malicious domain names (DMD 2018) as part of SSCC'18 and ICACCI'18. He received the Chancellor's Research Excellence Award in AIRA 2021 and was included in the World's Top 2% Scientists by Stanford University published in PLoS Biology