Associate professor of Computer Science at Politecnico di Milano, Dep. of Management, Economics and Industrial Engineering (Present)

Assistant professor of Computer Science at Politecnico di Milano, Dep. of Management, Economics and Industrial Engineering (until May 2019)

Assistant professor at Università degli Studi di Milano, Dep. of Economics, Management and Quantitative Methods (until October 2008)

Research fellow at Politecnico di Milano, Dep. of Management, Economics and Industrial Engineering (until December 2004)

Master of Science: Management Engineering, Politecnico di Milano.

The research activity has been focused on the development of novel models and methods for machine learning and pattern recognition and their application in several domains ranging from life sciences to marketing and finance. Two major research strands were explored. From one side, the development of classification algorithms in the context of statistical learning theory. Main research achievements in this area focused on discrete variants of support vector machines (SVM) and on their combination with classification trees. Specifically, algorithms for time series classification, multi-class discrimination and polyhedral methods for binary classification tasks were proposed and effectively applied on several benchmark problems. From the other side, the design of non-linear dimensionality reduction techniques for high-dimensional data embedding. Major research goals were achieved in the context of manifold learning where effective variants of Isometric feature mapping (Isomap) and novel out-of-sample projection techniques were proposed and applied in several domains. Recent research efforts have been devoted to sentiment and emotion recognition through machine learning algorithm and the development of deep learning techniques for fault detection in manufacturing systems.

Recent publications:

1. Jalayer R., Jalayer M., Orsenigo C., Tomizuka M., A review on deep learning for vision-based hand detection, hand segmentation and hand gesture recognition in human–robot interaction, Robotics and Computer-Integrated Manufacturing (2026)
2. Jalayer, R., Chen, Y., Jalayer, M., Orsenigo, C., Tomizuka, M., Testing human-hand segmentation on in-distribution and out-of-distribution data in human–robot interactions using a deep ensemble model, Mechatronics (2025)
3. Jalayer, R., Jalayer, M., Mor, A., Orsenigo, C., Vercellis, C., ConvLSTM-based Sound Source Localization in a manufacturing workplace, Computers and Industrial Engineering (2024)
4. Mor, A., Orsenigo, C., Soto Gomez, M., Vercellis, C., Shaping the causes of product returns: topic modeling on online customer reviews, Electronic Commerce Research (2024)
5. Jalayer, M., Kaboli, A., Orsenigo, C., Vercellis, C., Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery, Machines (2022)
6. Araño, K.A., Gloor, P., Orsenigo, C., Vercellis, C., 'Emotions are the Great Captains of Our Lives': Measuring Moods Through the Power of Physiological and Environmental Sensing, IEEE Transactions on Affective Computing (2022)
7. Araño, K.A., Gloor, P., Orsenigo, C., Vercellis, C., When Old Meets New: Emotion Recognition from Speech Signals, Cognitive Computation (2021)
8. Jalayer, M., Orsenigo, C., Vercellis, C., Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms, Computers in Industry (2021)

Best paper award, EVO BIO 2007.

Co-organizer of the "Women in Machine Learning and Data Science-Milan" chapter (Home - WiMLDS).