KMOV TV interviews Dr. Talukder
Dr. Talukder was contacted by KMOV (Channel 4), a prominent television station in St. Louis, Missouri, affiliated with CBS and MyNetworkTV to provide his expert opinion on cybersecurity and ransomware.
In addition, a significant part of our work at SupremeLab is reinforcing security and user privacy in online and geosocial networks. We are committed to designing, developing, and implementing a secure, trustworthy, and privacy-enhanced AI-driven online ecosystem, adhering to the principle of AI for social good. We leverage machine learning to develop next-generation social network tools, focusing on advanced abuse detection and defense mechanisms against fraud and abuse on platforms like Facebook, Twitter, Instagram, LinkedIn, and WeChat. Our goal is to ensure a safe, reliable, and ethically responsible online social interaction space, demonstrating the power of AI in promoting positive social change.
Dr. Sajedul Talukder, director of the SupremeLab, is working on technologies to stop identity deception, which can lead to profile hacking, identity theft and other havoc in the lives of online social media users. Talukder recently received a $158,000 grant from the National Science Foundation to investigate ways to prevent so-called “sock puppet” connection requests on social media. Talukder aims to build a digital framework rooted in cognitive psychology, user-centric research and machine learning methods to defend against such accounts and requests in online social networks.
A team of Computer Science graduate students from SIU School of Computing, CyberSalukis (Team-108), placed 16th in the nation in Department of Energy’s CyberForce Competition held on November 5, 2022. The participating Salukis were Supremelab members Ismail Hossain (CS PhD) and Sai Mani Teja Puppala (CS PhD); Tyler Joseph (CS MS), Mohammad Mashud Nesary (CS MS), Trenton D. Spencer (CS MS), and Robert Wigfall (CS MS). CyberSalukis were mentored by Dr. Sajedul Talukder, Assistant Professor and Director of Security and Privacy Enhanced Machine Learning (SUPREME) Lab.
Dr. Talukder joins the faculty of The Center for Intelligent, Distributed, Embedded Applications and Systems (IDEAS), an NSF IUCRC multi-university research center comprising of ASU, SIU, and USC. IDEAS brings together the expertise of many accomplished researchers – faculty, post-doctoral scholars, graduate and undergraduate students – from leading Research universities to undertake a broad range of application-driven projects to advance the technologies of wearables, mobile devices, edge and cloud computing, and embedded systems targeting energy-efficiency and performance.
Dr. Talukder along with two other investigators receives NIST IMEC funding to create a “Testbed for Experimenting with Industrial IoT and Cybersecurity Integration in Small Manufacturing.” The grant will create a testbed at SIU to examine industrial IoT, a new concept in fully connected, transparent, automated and intelligent factory setup aimed at improving manufacturing processes and security. Dr. Talukder’s project would allow small and mid-size manufacturers in Southern Illinois to utilize a “sandbox” when exploring the integration of smart manufacturing in their own companies.
Dr. Talukder was contacted by KMOV (Channel 4), a prominent television station in St. Louis, Missouri, affiliated with CBS and MyNetworkTV to provide his expert opinion on cybersecurity and ransomware.
The 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, one of the top social computing conferences (acceptance rate ~13-18%).
A book on "Data-driven approaches to Medical Imaging", which will be published by Springer.
3rd IEEE International Conference on AI in Cybersecurity (ICAIC).
A book on "Blockchain and Smart-Contract Technologies for Innovative Applications", which will be published by Springer.
4th International Conference on Machine Learning & Applied Network Technologies (ICMLANT 2023).
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