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Events for the 5th week of May
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PhD Defense - Seyed Jalal Kazemitabar Amirkolaei - "Scalable Processing of Spatial Queries"
Mon, May 30, 2016 @ 01:30 PM - 03:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Seyed Jalal Kazemitabar Amirkolaei, PhD Candidate
Talk Title: Scalable Processing of Spatial Queries
Abstract: In recent years, geospatial data have been produced in mass e.g., through billions of smartphones and wearable devices. Current exponential growth in data generation by mobile devices on the one hand, and the rate and complexity of recent spatial queries on the other hand, highlights the importance of scalable query processing techniques. Traditional database technology, which operates on centralized architectures to process persistent and less dynamic spatial objects does not meet the requirements for scalable geospatial data processing.
In this thesis, we specifically focus on two primary challenges in scaling spatial queries, i.e., the communication and computation costs, while guaranteeing the correctness of query results. We utilize techniques such as batch processing and use of parallelized framework to address these challenges.
We address the location tracking cost towards achieving scalability in communication-intensive queries. The location tracking cost between the moving objects and the query processing server is a key factor in processing many moving object continuous queries. The challenge is that increasing the number of queries and objects would require frequent location updates which results in draining the battery power on mobile devices. Thus, existing approaches would not scale unless query correctness is compromised. In this thesis, we propose batch processing of spatial queries as a method to optimize the location tracking cost to scale to large numbers of queries and objects without either compromising the query correctness or using excessive battery power. In our approach, the queries are categorized into independent groups and then processed in parallel. We specifically apply our approach to the proximity detection query and optimize the communication cost while processing millions of queries.
Processing some spatial queries has become more resource-intensive in recent years. This is due to various reasons such as the introduction of queries that are more computationally complex compared to the classic ones, as well as an increase in the input size (e.g., the number of GPS-enabled devices). In this thesis, we propose optimized algorithms and utilize MapReduce to process a complex spatial problem, i.e., the Multi-Criteria Optimal Location (MCOL) problem. First, we formalize it as a Maximal Reverse Skyline (MaxRSKY) query. For the first time, we present an optimized solution that scales to millions of objects over a cluster of MapReduce nodes. Specifically, rather than batch processing the query which is typical of a MapReduce solution, we first partition the space and run a precomputation phase where we identify potential regions hosting the optimum solution, and then load balance the regions across the Reducers in a dynamic way to reduce the total execution time.
Host: Seyed Jalal Kazemitabar Amirkolaei
Location: Henry Salvatori Computer Science Center (SAL) - 213
Audiences: Everyone Is Invited
Contact: Ryan Rozan
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
SERC TALKS: Systems Engineering Research Center
Wed, Jun 01, 2016 @ 10:00 AM - 11:00 PM
Astronautical Engineering, Systems Architecting and Engineering, USC Viterbi School of Engineering
Conferences, Lectures, & Seminars
Speaker: Babak Heydari, Assistant Professor, Stevens Institute of Technology
Talk Title: We Need a New Design Perspective for Socio-Technical systems. Can Complex Network Perspective Be a Viable Candidate?
Series: SERC Talks
Abstract: Complex Socio-technical systems (CSTS) rely on multiple types of localized resources, whose management is a crucial challenge for the optimal performance of the system. These systems are often operated in highly uncertain environments, because of this it is difficult to anticipate demand for resources in various parts of the system at every moment of time; this means that even if the total demand for a resource can be met, achieving an efficient distribution of the resource is not a trivial challenge. The efficient distribution of resources is a strong function of the system architecture, thus modeling this interdependency, that of the architecture and resource allocation mechanisms, becomes an important area of research in CSTS engineering. Having the connectivity structure as a lens in mind, one can ask a host of crucial questions: Which network architectures allow for most efficient resource access under uncertainty? How much the efficient architecture will be different if autonomous components have discretion to choose their interactions, which is the case in many human centric complex systems? How much efficiency can be lost this way? How can the architecture be designed to govern collective behavior of CSTS? i.e. To make them more cooperative, more trustworthy, etc?
In this webinar, we take a complex network perspective to introduce a framework for studying the interactions of (potentially) autonomous system components and the design of the connectivity structure in CSTS to facilitate resource management under uncertainty. We discuss resource sharing as a mechanism that adds a level of flexibility to distributed systems and describe the connectivity structures that enhance components' access to the resources available within the system. We discuss central and a distributed schemes that, respectively, represent systems in which a central planner determines the connectivity structure and systems in which distributed components are allowed to add and sever connections to improve their own resource access. Furthermore, we present how the role of connectivity structure on collective behavior can be captured, modeled, simulated and verified.
NOTE: All Talks will be broadcast on WebEx. For those unable to access WebEx, please register in order to receive dial-in instructions. A copy of the presentation will be made available on the SERC website prior to the session.
Biography: Babak Heydari is an assistant professor at the School of Systems and Enterprises, at Stevens Institute of Technology and the director of Complex Evolving Networked Systems Lab. He holds a PhD in Electrical Engineering from University of California at Berkeley with a minor in management and economics and has three years of industry experience in Silicon Valley. Dr. Heydari has a diverse set of research interests and academic backgrounds and does interdisciplinary research at the intersection of engineering, economics and systems sciences. His current research, is on developing model-driven approach in analysis, design and governance of complex Networked systems. His research interests are network resource sharing formation and diffusion of collective behavior, modularity, emergence and evolution of collective behavior and the co-evolution of structure and behavior in complex networks. His research has been funded by NSF, DARPA, INCOSE, SERC and a number of private corporations. He is the recipient of NSF CAREER Award in 2016.
Host: Systems Engineering Research Center
More Info: http://www.sercuarc.org/
Webcast: https://stevensinstitute.webex.com/mw3100/mywebex/default.do?service=1&siteurl=stevensinstitute&nomenu=true&main_url=%2Fmc3100%2Fe.do%3Fsiteurl%3Dstevensinstitute%26AT%3DMI%26EventID%3D483320817%26UID%3D0%26Host%3DQUhTSwAAAAIQDVMIcs5g1gIM_SzIzC9rsbzM1FWKsLocation: Webex Webinar
Audiences: Everyone Is Invited
Contact: Barry Boehm
Event Link: http://www.sercuarc.org/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Big Data Industry Seminar (IMSC 20th Anniversary Retreat)
Wed, Jun 01, 2016 @ 03:45 PM - 05:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Mark E. Dixon, Farnaz Azmoodeh, Dave Schrader, Ali Khoshgozaran, IBM Global Business Services, Snapchat, Teradata University Network, Teradata University Network
Talk Title: Big Data Industry Seminar
Series: IMSC Big Data Industry Seminar
Abstract: Speaker: Mark E. Dixon
Solutions Architect , Watson Healthcare
IBM Global Business Services
Title: Enthralled by the Immediate - why humans need cognitive systems
The talk asserts that human beings are designed to survive today, but not necessarily tomorrow - we do not do a good job of creating our future our engineered and complex world. The talk offers some examples of vestigal neuroanatomical issues and cognitive challenges we must overcome to proceed in a more enlightened manner.
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Speaker: Farnaz Azmoodeh
Eng. Director on Monetization,
Snapchat
Title: Digital advertising
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Speaker: Dave Schrader
Sports Analytics Educator,
Teradata University Network
Title: Big Data and Sports Analytics
It's the Golden Age of Sports Analytics, especially because of
wearables and better video analytics for Baseball, Basketball,
Football, and Soccer. Big data is also helping improve injury
prediction and prevention - as I'll show using case studies.
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Speaker: Ali Khoshgozaran
CEO,
Tilofy Inc.
Title: Trend Forecasting:
Are You Ready for Your Unfair Advantage?
In a world where data and communication move at the speed of light, businesses struggle to remain relevant due to their inability to stay ahead of every curve. We have built a trend forecasting platform that identifies emerging trends long before they become mainstream to assist businesses in
transforming insights from the future into triggers for the right course of action today.
Host: IMSC
Location: Ronald Tutor Campus Center (TCC) - Grand Ballroom
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
NL Seminar- Memorization and Exploration in Recurrent Neural Language Models
Fri, Jun 03, 2016 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Ke Tran, University of Amsterdam
Talk Title: Memorization and Exploration in Recurrent Neural Language Models
Series: Natural Language Seminar
Abstract: In this talk, I will focus on two important aspects in language modeling: memorization and exploration. First, I will present Recurrent Memory Network, a recurrent language model augmented with an external memory block. I will show that by explicitly addressing the memory, RMN not only amplifies the power of recurrent neural network but also facilitate our understanding of its internal functioning and allows us to discover underlying patterns in data. Furthermore, our experiments demonstrate that using external memory allows RMN capturing sentence coherence better than previous models on sentence completion task. In context of language generation (e.g. using conditional recurrent language models), memorization might hurt the performance of the whole system especially when recurrent models start hallucinating. In the second part, I will present preliminary findings in training neural machine translation (NMT) to avoid this pitfall. Particularly, we allow NMT to explore during training using REINFORCE/deep Q-network/minimum risk training.
Biography: Ke is a third year PhD candidate at University of Amsterdam, advised by Christof Monz and Arianna Bisazza. Before that, he received Msc degree from University of Groningen and Charles University in Prague. He is interested in neural machine translation.
Host: Xing Shi and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
