Recent News

17/Jan/2026 - Our paper "Ultra-reliable risk-aggregated sum rate maximization via model-aided deep learning" has been accepted for publication on ICASSP 2026.

17/Jan/2026 - Our paper "Data-driven two-stage IRS-aided sumrate maximization with inexact precoding" has been accepted for publication on ICASSP 2026.

1/Jan/2026 -  Our paper "Inexact zeroth-order nonsmooth and nonconvex stochastic composite optimization and applications" has now appeared on the Journal of Nonlinear and Variational Analysis.

17/Nov/2025 - New version of our preprint "Strong duality in risk-constrained nonconvex functional programming" is now available on arXiv.

18/Sep/2025 - Our paper "Risk-averse constrained reinforcement learning with optimized certainty equivalents" has now been accepted for publication on NeurIPS 2025.

29/Aug/2025 - Our paper "Data-driven learning of two-stage beamformers in passive IRS-assisted systems with inexact oracles" has now been accepted for publication on the IEEE Access journal. 

15/Aug/2025 - New paper "Inexact zeroth-order nonsmooth and nonconvex stochastic composite optimization and applications" is now available on arXiv.

7/May/2025 - I led a panel session on data science at the following event: Using maths to tackle challenges in energy, green economy & data science.

29/Apr/2025 - Our paper "An efficient active-set method with applications to sparse approximations and risk minimization" has now been accepted for publication on the Journal of Scientific Computing.

16/Apr/2025 - Registration is now open for the workshop "An afternoon of stochastic optimization" which I am co-organizing at King's College London. 

31/Oct/2024 - New paper "Data-driven learning of two-stage beamformers in passive IRS-assisted systems with inexact oracles" is now available on arXiv.

01/Aug/2024 - I have joined the Department of Mathematics of King's College London as a Lecturer in Optimization.

16/Apr/2024 - I am happy to announce that I was shortlisted as a finalist for the EURO Doctoral Dissertation Award. As a result, I will be presenting my work at the EDDA special sessions.

15/Jan/2024 - Our paper "Strong duality relations in nonconvex risk-constrained learning" was accepted on the 58th Annual Conference on Information Sciences and Systems (CISS), 2024.

11/Dec/2023 - Our paper "Model-free learning of  two-stage beamformers for passive IRS-aided network design" was accepted on IEEE Transactions on Signal Processing.

18/Oct/2023 - I am the winner of the 2022 Operational Research (OR) Society's Doctoral Award for the "Most Distinguished Body of Research leading to the Award of a Doctorate in the field of OR". 

16/Oct/2023 - Our paper "A zeroth-order proximal stochastic gradient method for weakly convex stochastic optimization" has now appeared on SIAM Journal on Scientific Computing.

15/Sep/2023 - I have started a new position as Lecturer in Mathematics at the University of Dundee.

28/Feb/2022 - New paper series "An active-set method for sparse approximations. Part I: Separable ℓ1 terms" ,  "Part II: General piecewise-linear terms" is now available on arXiv.

16/Feb/2023 - Our paper "Model-free learning of optimal beamformers for passive IRS-assisted sumrate maximization" was accepted on ICASSP 2023.

14/Nov/2022 - Our paper "General-purpose preconditioning for regularized interior point methods" is now available on Computational Optimization and Applications.

02/Nov/2022 - Our paper "Sparse approximations with interior point methods" is now available on SIAM Review.

23/Mar/2022 - My PhD thesis with title "Regularized Interior Point Methods for Convex Programming" is now available on ERA.