Location: Dyson School of Design Engineering – Lecture theatre G01B, SW7 2AZ. (Enter through Fusion Cafe)
Date: Tuesday, May 31, 2022.
Lightning talks (~15 minutes), keynote preseantations, and networking!
Coffee/tea and snacks (vegan/gf options available) provided by the EEE department.
We invite all researchers within Imperial to attend.
(e.g. postgraduate students, researchers, and professors - and invited guests from this audience)
For further information please contact us on f[dot]alotaibi21[at]imperial[dot]ac[dot]uk.
Trustworthy Machine Learning... for Systems Security
Professor Lorenzo Cavallaro
Professor of Computer Science at UCL
Certified Federated Adversarial Training
Dr Giulio Zizzo
Research Staff Member at IBM Research
This symposium is composed of INFORMAL lightning talks by researchers at Imperial who work in the intersection of machine learning and cyber security. The talks should be about a current applied ML&Security research (COMPLETE OR NOT COMPLETE!!), which will be followed by brief Q&A.
The goal of this event is to connect those who work in this area; we look forward to your active participation.
If you are a speaker and the assigned time does not work for you, please contact Kate Highnam (kwh19[at]ic[dot]ac[dot]uk).
Ph.D. Student in Intelligent Systems and Networks within EEE
Kate is a Ph.D. Student under the joint supervision of Professor Nicholas R. Jennings CB, FREng, and Dr. Sergio Maffeis. Her professional experience in machine learning and cyber security motivates her current research into domain adaptation in intrusion detection with real world applications. She is also an Enrichment student with The Alan Turing Institute in London.
Ph.D. Student in Machine Learning for IoT security at the DE
Emaan is a Ph.D. candidate in the Dyson School of Design Engineering at The Faculty of Engineering. She is working under the supervision of Dr. Hamed Haddadi and Dr.David Boyle. Her research in the field of machine learning for a secured IoT environment. In 2017, She completed her MSc in Electromagnetic Sensor Networks at the University of Birmingham. The focus of the Masters was on electromagnetic, antennas, propagation, computer communications networks and RF and microwave engineering. Moreover, She completed her BA in Computer Systems Engineering from Birzeit University in Palestine.
Ph.D. Student in Renforcement Learning for Cyber Security at the DoC.
Myles is a PhD student at Imperial College London under the supervision of Dr. Maffeis. He received his MEng from University College London in Electronic Engineering with Computer Science, earning the ‘Outstanding MEng Graduating Student’ prize. Myles’ research is focused at novel - and exciting - ways of applying reinforcement learning to problems in cyber security.
Ph.D. Student in Learning-based Security Applications Security and Robustness at the DoC.
Fahad is a PhD student at Imperial College London under the supervision of Dr. Maffeis. He received his MSc from The University of York (UK) in Cyber Security, and his BCs from Shaqra University (KSA) in Computer Science. Fahad’ research is focused on robusting deep learning-based security applications againsts concept drift and poisoning attacks. Fahad is also interested in other areas such as digital forensics and ransomware prevention.