ARIA Safeguarded AI programme is running at full speed. Together with Bob Atkey, Matteo Capucci and Radu Mardare,
I am a co-creator in the project ``Predicate Quantitative Logics for Safe Machine Learning"
CDT D2AIR ( pronounced “dare”) is a joint 4-year PhD training programme offered by Heriot-Watt University and the University of Edinburgh.
CDT-D2AIR will train students in the latest methods in AI,
verification, design, and robotics, along with practical skills to ensure that robotic systems can be safely developed and deployed.
Research Project "Predicate Quantitative Logics for Safe Machine Learning", within the ARIA Safeguarded AI programme.
Grant holders: B.Atkey and E.Komendantskaya, other researchers: M. Capucci and R. Mardare.
Dependable
and Deployable AI for Robotics (D2AIR) Centre for
Doctoral Training, based at the Edinburgh Centre for Robotics (ECR),
and jointly held by Heriot-Watt University and the University of Edinburgh.
ECR includes the National Robotarium,
a world-leading centre for Robotics and Artificial Intelligence
based at Heriot-Watt’s Edinburgh campus, and the Bayes Centre,
the University of Edinburgh 's Innovation Hub for Data Science and Artificial Intelligence.
Research project AISEC:
AI Secure and Explainable by Construction, .
Funded as part of "Security for All in AI Enabled Society" call.
Grant holders: E.Komendantskaya, D.Aspinall, B.Atkey, V.Rieser, B.Schafer; universities of
Heriot-Watt, Edinburgh and Strathclyde.
UKRI-funded ICASE PhD Scholarship
with SLB Cambridge:
Reasoning about Complex Systems that use Statistical Machine Learning and AI. Industrial lead: Michael John Williams,
academic lead: Ekaterina Komendantskaya. Project Period: 2022- 2027.
Imandra-funded PhD Scholarship at the Edinburgh Center
for Robotics:
Verification of Neural Networks in Imandra. Industrial lead: Grant Passmore,
academic lead: Ekaterina Komendantskaya, PhD student: Remi Desmartin. Project Period: 2022-2026.
Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. Computer-Aided Verification (CAV), Montreal, Canada, 22-27 July 2024.
Parth Padalkar, Natalia Slusarz, Gopal Gupta, Ekaterina Komendantskaya, A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks. International Conference on Logic Programming, ICLP 2024. Journal Proceedings in the joutnal of
Theory and Practice of Logic Programming.
2024 -- 2026 PC membership:
ITP 2026: 17th International Symposium on Interactive Theorem Proving. Serving as PC Chair.
FLOPS 2026: 18th International Symposium on Functional and Logic Programming. Serving as PC Chair.
POPL 2026: the 53rd ACM SIGPLAN Symposium on Principles of Programming Languages
CPP 2025: Certified Proofs and Programs, affiliated with POPL'25
SAIV 2025: the 8th International Symposium on AI Verification affiliated with CAV'25
March 2024 April 2025: a member of the Editorial Board of Science of Computer Programming
Haskell 2024: the Haskell Symposium affiliated with ICFP'24
SAIV 2024: the 7th International Symposium on AI Verification affiliated with CAV'24
LOPSTR 2024: the 34th Symposium on Logic-Based Program Synthesis and Transformation
ICFP 2024: the 29th ACM SIGPLAN International Conference on Functional Programming
TYPES 2024: the 30th International Conference on Types for Proofs and Programs
FLOPS 2024: 17th International Symposium on Functional and Logic Programming
My selected publications (full list is given here):
J.Heras, E.Komendantskaya, M.Johansson, and E.Maclean.
Proof-Pattern Recognition and Lemma
Discovery in ACL2 19th International conference on Logic for Programming Artificial Intelligence and Reasoning,
LPAR'13, Stellenbosch, South Africa, 15-19 December 2013.
Springer LNCS 8312, pp. 389-406, 2013.