ACM Distinguished Speakers Porgram:  talks by and with technology leaders and innovators

Computing Topic:
Databases & Information
Addresses all aspects of large-scale data management, including: data modeling, mining, and warehousing; database query and programming languages; query and transaction processing; and new applications of database technology. See ACM's Special Interest Group on Management of Data, SIGMOD.

Available Speakers on this Topic


Available Lectures

  • Big, Open, Data and Semantics for a Real-World Application Near You:
    State-of-the-art Artificial Intelligence (AI) and data management techniques have been demonstrated to process large volumes of noisy data to extract meaningful patterns and drive decisions in diverse applications ranging from space exp...
  • Data, Analytics, and the Dawn of the Cognitive Era of Computing. :
    We are poised on the brink of a new era of computing, one in which computers will increasingly partner with people to improve our lives and enhance our ability to solve complex problems.  These new systems will feed on data and leverage a divers...
  • "Telco Big Data: Current State & Future Directions":
    A Telecommunication company (Telco) is traditionally only perceived as the entity that provides telecommunication services, such as telephony and data communication access to users. However, the radio and backbone infrastructure of such entities span...
  • A Secure Data Aggregation based Trust Management Approach for Dealing with Untrustworthy Motes in Sensor Network:
    Efficient power management is vital for increasing the life of wireless sensor networks (WSN). The main reason is that the radio transmission consumes energy approximately three times comparing to other operations. Thus, techniques such as data aggre...
  • A Secure Data Sharing and Query Processing Framework via Federation of Cloud Computing :
    Due to cost-efficiency and less hands-on management, data owners are outsourcing their data to the cloud which can provide access to the data as a service. However, by outsourcing their data to the cloud, the data owners lose control over their data ...
  • A Transaction Model and Multiversion Concurrency Control For Mobile:
    Transaction management on Mobile Database Systems (MDS) has to cope with a number of constraints such as limited bandwidth, low processing power, unreliable communication, and mobility etc. As a result of these constraints, traditional concurre...
  • Accelerating Data Discovery for Better Health:
    The volumes of healthcare data are sky-rocketing, and new sources and types of patient, biology, medical and contextual information are proliferating; we can now get more data on patients and disease than ever before. But that data is only valuable f...
  • Accelerating the Discovery of Insights from Data:
    Today, businesses and scientists alike struggle to get to the value in their data. Their challenges include finding and gaining access to the data they need, “wrangling” the data into a form they can use, and setting up the systems...
  • Big Data 2.0 Processing Engines:
    For a decade, the MapReduce framework, and its open source realization, Hadoop, has emerged as a highly successful framework that has created a lot of momentum such that it has become the defacto standard of big data processing platforms. However, in...
  • Big Data Science as a Service:
    Recently, big data science has emerged as a modern and important data analysis discipline. It is considered as an amalgamation of classical disciplines such as statistics, artificial intelligence and computer science with its sub-disciplines includin...
  • Big Data? Big Promise, Big Problems:
    The data that we record daily about ourselves through our cell phones, credit card purchases, emails, social media postings, etc., helps us connect with each other and improve our life quality. But we do not own nor control most of this data. ...
  • Crowdsourcing for Entity-centric Information Access:
    Crowdsourcing is a novel approach used to obtain data processing at scale. In this talk I will introduce the dynamics of crowdsourcing platforms and provide examples of their use to build hybrid human-machine systems. I will then present ZenCrowd: an...
  • Data Analytics for Healthcare Services:
    The last decade has seen huge advances in the scale of data we routinely generate and collect in pretty much everything we do, as well as our ability to use technology to analyze and understand it. The intersection of these trends is what we call Big...
  • Dynamic Data Management in Mobile P2P Networks:
    ynamic Data management has become a necessity in emerging networks (e.g., mobile ad hoc networks and mobile P2P networks) to address fragile wireless connections and devices with very limited capacity.  Moreover, traditional methods of da...
  • Dynamic Data Replication Using Aperidoc Updates in MANET:
    Traditional replication schemes are passive in nature, and rarely
    consider the characteristics of mobile ad hoc network environment. In
    this talk, I will present three dynamic data replication schemes for
    mobile ad-hoc netw...
  • Economic Models for Data Management in Mobile P2P Computing:

    Data Management in Mobile Peer to Peer (M-P2P) systems needs dynamic data management due to mobility and fragile wireless connection connecting resource constraint devices. Traditional methods of data management and services in mobile P2P...

  • HMACs for Graphs:
    Graphs are widely used in the representation and processing of data in several domains. Assurance of integrity of graph data is essential. Related work has shown that the digital signatures for graphs are expensive operations. While digital signature...
  • Human Computation in Data Science:
    As a novel computation paradigm, human computation (a.k.a. crowdsourcing) is being actively pursued in diverse academic disciplines. Within computer science, many sub-fields have also embraced the concept of human computation with open arms and appli...
  • Information Retrieval Challenge Problems:

    The Text REtrieval Conference (TREC) is a series of workshops designed to advance the state-of-the-art in information retrieval by providing the infrastructure necessary for large-scale evaluation of retrieval methodologies. Each TREC consists ...

  • Internet-based Indoor Navigation Services:
    This talk presents the fundamental mobile data management concepts behind the realization of innovative indoor information services that deal with all aspects of handling indoor data as a valuable resource, including data modeling, data acquis...
  • Large Scale Graph Processing Systems:
    Recently, people, devices, processes, and other entities have been more connected than at any other point in history. In general, a graph is a natural, neat, and flexible structure to model the complex relationships, interactions, and interdependenci...
  • Privacy-preserving Authentication of Graphs on Cloud:
    Leakages of structural information in trees and graphs due to (redactable) signatures lead to privacy and confidentiality breaches. So leakage-free redactable signatures are an important topic especially for third-party data management and cloud comp...
  • Reciprocity between Compilers and Machine Learning:
    In this talk, Dr. Xipeng Shen will discuss two fundamental questions in two different disciplines: (1) Machine learning (ML) researchers have devoted decades of manual efforts, documented in hundreds of research papers, in creating more effici...
  • Replicated Data Integrity Verification in Cloud:
    Cloud computing is an emerging model in which computing infrastructure resources are provided as a service over the Internet. Data owners can outsource their data by remotely storing them in the cloud and enjoy on- demand high quality applicat...
  • SNAzzy - Social Network Analysis for Telecom Business Intelligence:
    SNAzzy is for analysing the social networks induced by calling patterns of the customers of Telecom Service Providers. It builds a social network of the telecom subscribers from the “who-calls-whom” CDR data. By analyzing th...
  • THE POWER OF SEARCH ENGINES:
    Search engines are the premier tools when it comes to finding information on the Internet. Newer technological developments show how search is changing from the query-results paradigm to search as an underlying technology for a great variety o...
  • The Power Behind the Throne: Information Integration in the Age of Data-Driven Discovery:
    Integrating data has always been a challenge. The information management community has made great progress in tackling this challenge, both on the theory and the practice.  But in the last ten years, the world has changed dramatically. &n...
  • The Power of Big Data:
    More and more data is being generated around us by every activity we do in our daily life. Such large amounts of data are changing the way we do things and are used to make data-driven decisions by companies and organisations. From mobile phones, wea...
  • The Semantic Web:
    For more than a decade now, the Semantic Web community has been listening to one critic after another explain why the technology will not work.  The good news is that we have now exceeded the expectations of all of our early critics, and the tec...
  • The Text REtrieval Conference:
    The Text REtrieval Conference (TREC) project at the National Institute of Standards and Technology has created standard test sets and evaluation methodology to support the development of methods for content-based access to material structured ...
  • Understanding Ontologies and Ontology Engineering:
    Computer science borrows the term ontology from a branch of philosophy (metaphysics) that studies the nature of “being” and “existence.” For philosophers, ontology aims at explaining all things in the world by systematically e...
  • Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup:
    This paper presents Yinyang K-means, a new algorithm for K-means clustering. By clustering the centers in the initial stage, and leveraging efficiently maintained lower and upper bounds between a point and centers, it more effectively avoids unnecess...
Featured Speaker


Keith Cheverst
Lancaster University

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