Our Data Science & System Security (DSSS) mission is to create innovative big-data solutions and service platforms that streamline the management of complex systems. We develop advanced information technology that drives groundbreaking applications, from big data analytics to the Internet of Things.

Our research spans a wide range of data science and system security fields, encompassing both experimental and theoretical approaches. Key focus areas include time series mining, deep learning, natural language processing (NLP) and large language models, graph mining, signal processing, and cloud computing. We strive to fully understand the dynamics of big data within complex systems, uncover patterns, and develop innovative solutions that empower users to better manage these systems. Our analytic engines and system solutions are designed to process and analyze big data, supporting applications for detection, prediction, and optimization. Our work has led to award-winning NEC products and publications in leading conferences.

The future of data science is on the brink of significant transformation. As data-driven decision-making becomes integral across industries, there will be a heightened focus on the ethical and responsible use of data. Ensuring privacy, security, and transparency is paramount. Additionally, automation and AI-driven analytics will continue to advance the field. Our team is committed to maintaining responsible data practices while leveraging these cutting-edge tools to drive innovation for our clients, partners, and collaborators. Read our DSSS blog posts below to learn more.

Posts

Graph Neural Networks, Explained: Our Role in the Future of AI

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NEC Laboratories America (NECLA) is advancing the frontier of Graph Neural Networks (GNNs), a transformative AI technology that processes complex, interconnected data. Through innovations like PTDNet for robust learning, novel frameworks for explainability, StrGNN for anomaly detection in dynamic graphs, and GERDQ for calibration with out-of-distribution nodes, NECLA is addressing critical challenges in GNN development. These breakthroughs have real-world implications in fields such as cybersecurity, bioinformatics, and recommendation systems, positioning NECLA as a leader in the evolution of graph-based AI.

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Introducing Our New Project: Time Series Language Model for Explainable AI

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Our new project, Time Series Language Model for Explainable AI, represents a significant leap forward in the field of forecasting and explainable AI. By combining advanced forecasting techniques with explainable AI, we are paving the way for a future where data-driven insights are not only accurate but also comprehensible and actionable.

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