- Working on parameter control policy research in Huawei's Autonomous Driving Network technology aiming to bring L4/L5 autonomy to 5G and beyond emerging mobile networks.- I am exploring new methods and techniques: - Generative AI based decision making (decision transformers, policy-guided diffusion, etc.) - Multi-objective, multi-agent, offline, continual reinforcement learning algorithms

• Led research and development in machine learning, optimization, mobile networks, cybersecurity, and space applications at Cognifinity.• Spearheaded the RAISE project supported by the National Cybersecurity Competence Center Luxembourg, enhancing real-time AI-driven intrusion detection.• Implemented advanced technology solutions to solve complex problems and improve security and efficiency in various fields.

Led research and development of machine learning algorithms to enhance ransomware protection inDataSecure anti ransomware system.

- Developed a GAN based algorithm for cloud removal in satellite imagery. Used high-performance computing infrastructure of University of Luxembourg- Worked on the optimal association of base stations to physical machines in the H-CRAN data-centers; the problem is formulated as an integer linear program and proposed an efficient heuristic that adopts a divide-and-conquer paradigm- Collaborated with a space company operating on satellite imagery. Developed a Graph Neural Network based optimization algorithm to solve the fleet scheduling problem.- Involved in teaching and research machine learning algorithms at Interdisciplinary Space Master program

- Solved a constrained multi-objective optimization problem in edge computing. Coded a multi-objective deep reinforcement learning framework using Tensorflow in Python.- Worked on umor source identification in social networks. Used GANs for missing Twitter data imputation.

- Worked on dynamic spectrum access, radio resource management and network measurement in the context of emerging wireless and mobile networks. Developed solutions for various problems using cooperative game theory, stochastic optimization and machine learning algorithms. - LTE-WiFi coexistence issues in a fairness context. Analyzed cooperation of LTE cells using a coalition formation game framework based on Shapley value.- Inter-operator interference problem in shared spectrum. Published seminal work applying supervised learning kernel method for forecasting of interference distribution.- Publications:ACM MobiHoc 2016 (acceptance rate %18), IEEE DySpan 2018, IEEE Transactions on Cognitive Communication and Networking, ACM Q2SWiNet 2016, NetGCoop 2016

- Worked in NSF project: Job-Centered Power Management Policies for Data Centers. - Analyzed the effect of the characteristics of the applications and their requirements on the design of the data centers' power management policies. Solved a combinatorial optimization problem and designed heuristic algorithms for deadline-aware energy optimization in cloud servers.- Publications:IEEE CloudCom 2016 (acceptance rate %24)