collaborators

5 papers

eess.SY2026

Evaluating the Exp-Minus-Log Sheffer Operator for Battery Characterization

Eymen Ipek

Odrzywolek (2026) recently introduced the Exp-Minus-Log (EML) operator eml (x, y) = exp(x) - ln(y) and proved constructively that, paired with the constant 1, it generates the enti…

cs.LG2026

Hardware-Efficient Neuro-Symbolic Networks with the Exp-Minus-Log Operator

Eymen Ipek

Deep neural networks (DNNs) deliver state-of-the-art accuracy on regression and classification tasks, yet two structural deficits persistently obstruct their deployment in safety-c…

eess.SY2026

Safe or Slow? The Illusion of Thermal Stability Under Reduced-Velocity Nail Intrusion

Eymen Ipek, Oliver Korak, Georg Gsellmann +1

This study investigates the effects of nail penetration speed on the safety outcomes of large-format automotive lithium-ion pouch cells. Through six controlled tests varying the sp…

eess.SY2026

Impact of Physics-Informed Features on Neural Network Complexity for Li-ion Battery Voltage Prediction in Electric Vertical Takeoff and Landing Aircrafts

Eymen Ipek, Mario Hirz

The electrification of vertical takeoff and landing aircraft demands high-fidelity battery management systems capable of predicting voltage response under aggressive power dynamics…

eess.SY2025

A Data-Driven Approach for Electric Vehicle Powertrain Modeling

Eymen Ipek, Mario Hirz

Electrification in the automotive industry and increasing powertrain complexity demand accelerated, cost-effective development cycles. While data-driven models are recently investi…