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Canadian AI Conference - Mohamed Khattab!
Congratulations to Mohamed Khattab, Master's student at CILS lab, for presenting an extended abstract, "Pure Leveled CKKS for CNN Inference" at the 39th Canadian AI Conference in Vancouver on May 28th.
He formalized where leveled CKKS fails on deep residual networks without bootstrapping, and derived the exact exhaustion bound.
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WELCOMING MITACS GRI STUDENTS!
Our MITACS GRI students arrived on campus! Welcome to Acadia University and to the CILS Lab, Yassine Ezzaouia and Ahmed Sabbeh. The students started working on Privacy Preserving ML using Federated Learning and Differential Privacy on medical datasets.
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CILS Students Showcase Honours Thesis and Project Research
Here is the work completed by three CILS students this term:
-- Saif Miskin, co-suervised with Dr. Melanie Coombs from Biology, worked on “AI-based tool for real time peptide cytotoxicity prediction on Breast Cancer cells”
-- Brendan Toscano, worked on “Machine Learning Evaluation of Generative AI Debugging Feedback Plausibility for Introductory Python Programming”
-- Mohammod Ehsanul Haque,worked on “A SMOTE-based approach for minority attack detection in intrusion detection systems”
A strong set of projects spanning AI in healthcare, software engineering, and cybersecurity. Thanks to all students for their effort and presentations. We wish you all the best in what comes next :)
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CILS Students Present Research at IEEE SYSCON 2026
CILS Lab Day on January 22 featured six engaging student presentations showcasing innovative research in artificial intelligence, cybersecurity, healthcare, and machine learning. Topics included Homomorphic Encryption for Privacy-Preserving Machine Learning, AI-powered Apple Breeding, MRI-based early Dementia detection, AI-driven Intrusion Detection Systems, LLM hint generation assessment, and Interpretability-Oriented Neural Architecture Search. The event provided an excellent opportunity for students to share their ongoing work and foster research discussions within the CILS community
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CILS LAB DAY - JANUARY 2026
CILS Lab Day on January 22 featured six engaging student presentations showcasing innovative research in artificial intelligence, cybersecurity, healthcare, and machine learning. Topics included Homomorphic Encryption for Privacy-Preserving Machine Learning, AI-powered Apple Breeding, MRI-based early Dementia detection, AI-driven Intrusion Detection Systems, LLM hint generation assessment, and Interpretability-Oriented Neural Architecture Search. The event provided an excellent opportunity for students to share their ongoing work and foster research discussions within the CILS community
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