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NOvA is a long-baseline accelerator-based neutrino oscillation experimentthat is optimized for $\nu_\mu\to\nu_e$ measurements. It uses the upgraded NuMIbeam from Fermilab and measures electron-neutrino appearance and muon-neutrinodisappearance at its Far Detector in Ash River, Minnesota. The $\nu_e$appearance analysis at NOvA aims to resolve the neutrino mass hierarchy problemand to constrain the CP-violating phase. The first data set of$2.74\times10^{20}$ protons on target (POT) equivalent exposure taken by NOvAhas been analyzed. The first measurement of electron-neutrino appearance inNOvA provides solid evidence of $\nu_\mu\to\nu_e$ oscillation with the NuMIbeam line. Electron-neutrino identification is the key ingredient for the$\nu_e$ appearance analysis. The electron-identification algorithm used toproduce the primary results presented here compares 3-D shower-energy profileswith Monte Carlo prototypes to construct likelihoods for each particlehypothesis. Particle likelihoods, among other event-topology variables, areused as inputs to an Artificial Neural Network for the final electron-neutrinoidentification. The design and implementation of this algorithm is alsopresented.

First Results of $\nu_e$ Appearance Analysis and Electron Neutrino Identification at NOvA