Home > Seminars > Mani Srivastava - Towards Pervasive Perception, Cognition, and Action

Mani Srivastava - Towards Pervasive Perception, Cognition, and Action


10/11/2018 at 3:30PM


10/11/2018 at 4:45PM


138 DeBartolo


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Dong Wang

Dong Wang

VIEW FULL PROFILE Email: dwang5@nd.edu
Phone: 574-631-3749
Website: http://www.nd.edu/~dwang5
Office: 214B Cushing


College of Engineering Assistant Professor
Big Data Analytics, Cyber-Physical Systems (CPS), Social Sensing, Smart Cities, Internet of Things (IoT), Network Science
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Nanoscale electronics, pervasive connectivity, and cloud computing have together ushered in the Internet of Things (IoT). The first generation of IoT has led to myriads of sensors in embedded, wearable, and mobile platforms collecting data to sense the state of various natural, engineered, and human systems with sensory information flowing through distributed multi-tiered networks and distributed computing architectures. A salient feature of IoT has been that connectivity between embedded devices and cloud services has revolutionized sensing systems. The ease with which sensor measurements and commands can flow between the sensors and the cloud allow sophisticated algorithms, massive computing resources, and large-scale data to be brought to bear on the task of sensemaking in multiple domains such as health, energy management, transportation, etc.

However, the first generation of sensing-focused IoT systems are precursors of a new generation of IoT systems where the sensor data will be used to influence and control the state of human-cyber-physical systems at multiple scales ranging from personal to societal. The sensor data, instead of being ingested primarily for slower time-scale knowledge discovery and decision making, is becoming part of a complex web of distributed autonomous and semi-autonomous feedback loops controlling and coordinating swarms of autonomous devices owned and managed by multiple parties and intelligently operating in shared spaces while interacting with humans and the physical world around them.

This emerging paradigm of pervasive perception, cognition, and action presents a broad spectrum of unprecedented challenges: extreme scale, unstable dynamics, variability and heterogeneity, time and location awareness, ultra-low latency requirements, intermittent resource availability, fragility to attacks and privacy risks. Our current information technology infrastructure – comprising the three distinct and largely independently developed technologies behind the Internet, datacenters, and embedded edge devices – can only suboptimally cope with these challenges. Addressing them requires a distributed computing substrate that takes an integrated view of the key functions - sensing, processing, learning, memory, dissemination, actuation - while optimizing across layers of processing and networking to achieve performance, security, and other guarantees.

In this talk I would seek to highlight various challenges and opportunities in the path towards developing an architecture for a networked and distributed computing substrate upon which future applications with perception-cognition-action loops at extreme and diverse spatiotemporal scales can be hosted with performance, security, robustness, and privacy guarantees. In particular, the talk will described recent work towards (i) A distributed system architecture which supports the new notion of Quality of Time which makes uncertainty in time observable and controllable in order to robustly support time-aware applications across the edge-middle-cloud tiers, (ii) Learning-enabled edge devices with efficient rich inferencing and data-driven modeling for enhancing performance, human-awareness, and security.

The ideas described in this talk have been developed and refined with the help of many close research collaborators through a series of collaborative research projects and proposals. The author would in particular like to thank Anthony Rowe, Paulo Tabuada, Rajesh Gupta, Saman Zonouz, Santosh Kumar, Supriyo Chakraborty, and Tarek Abdelzaher. Moreover, the generous support of funding agencies that have supported author’s research in recent years - ARL, DARPA, NSF, NIH, and SRC - is graciously acknowledged.

Seminar Speaker:

Mani Srivastava

Mani Srivastava


Mani Srivastava is on the faculty at UCLA where he is associated with the ECE Department with a joint appointment in the CS Department. His research is broadly in the area of networked human-cyber-physical systems, and spans problems across the entire spectrum of applications, architectures, algorithms, and technologies. His current interests include issues of energy efficiency, privacy and security, data quality, and variability in the context of systems and applications for mHealth and sustainable buildings. He is a Fellow of both the ACM and the IEEE. More information about his research is available at his lab’s website: http://www.nesl.ucla.edu and his Google Scholar profile at https://scholar.google.com/citations?user=X2Qs7XYAAAAJ.