This research was conducted under the guidance of my mentor and formed the basis of a presentation to our cybersecurity community. It examines how AI copilots and autonomous agents are being integrated into modern Security Operations Centers to improve incident detection, triage, and response. The analysis covers implementations from Microsoft, Google, CrowdStrike, and Palo Alto Networks, focusing on natural-language threat hunting, AI-assisted rule generation, autonomous alert classification, and multi-step SOAR orchestration. It also evaluates operational impact alongside governance risks such as prompt injection, data leakage, least privilege enforcement, and human-in-the-loop controls.
The thesis investigates the development and physicochemical characterization of epoxy based polymer composites reinforced with lignocellulosic sawdust, emphasizing structure property performance correlations. An amine cured epoxy matrix is systematically modified through controlled filler incorporation, and the resulting systems are analyzed via DTA and TGA to elucidate thermo oxidative degradation mechanisms, mass loss kinetics, and residual stability. Rheological behavior, interfacial matrix filler interactions, and crosslink density effects are examined to understand their influence on thermal resistance and structural integrity, highlighting the engineering potential of waste biomass valorization in sustainable composite materials design.
Facultatea de Chimie și Inginerie Chimică, Universitatea Babeș-Bolyai
Cluj-Napoca, România
The project develops the integrated design of a continuous SO₂ separation unit based on an absorption–desorption cycle with solvent regeneration, grounded in rigorous mass transfer theory and thermodynamic balance calculations project copy . The system comprises packed absorption and stripping columns with Raschig rings, a multitubular heat exchanger for energy integration, a condenser, and an inertial mist eliminator. Equipment sizing is performed using HTU–NTU methodology under hydraulic constraints below flooding conditions. The analysis couples SO₂ dissolution equilibrium, real solvent consumption, steam requirements for stripping, and heat recovery optimization, resulting in a process architecture focused on operational stability and energy efficiency.
Facultatea de Chimie și Inginerie Chimică, Universitatea Babeș-Bolyai
Cluj-Napoca, România
The project consists of the conceptual design and dynamic analysis of a fully instrumented chemical process control architecture, grounded in systemic modeling, Laplace-domain transfer functions, and stability theory as developed in the Automation of Chemical Processes course. The proposed framework integrates sensor selection, unified signal transmission (4–20 mA), actuator nonlinear compensation, and PID-based feedback control, extended toward cascade and feedforward configurations for disturbance rejection. Process behavior is characterized through first and second order capacitive models with dead time, gain identification, and frequency response evaluation. The result is a control-oriented process design methodology that couples steady-state modeling with dynamic robustness and closed-loop stability optimization.
Facultatea de Chimie și Inginerie Chimică, Universitatea Babeș-Bolyai
Cluj-Napoca, România
The project develops a comprehensive optimization framework for chemical process systems, integrating analytical optimality conditions, gradient-based numerical methods, and mathematical programming strategies as presented in the Optimization of Chemical Processes course. The methodology begins with unconstrained optimization via Hessian-based Lagrange criteria for extremum classification, extends toward constrained formulations through linear programming structures, and advances to iterative gradient algorithms with constant and optimal step size selection governed by Himmelblau convergence criteria. The framework is further embedded into process simulation environments, enabling steady-state and dynamic optimization using industrial simulators such as CHEMCAD or Aspen Plus, thereby coupling mathematical rigor with computational process modeling for economically and operationally optimal decision-making.
Facultatea de Chimie și Inginerie Chimică, Universitatea Babeș-Bolyai
Cluj-Napoca, România