Professional Development Education

IEEE Computer Society Leading Professional Seminar Series

Expand your knowledge base by sitting in on a lecture from a distingushed professional or by taking a professional development course in your area of technical interest.

The IEEE Computer Society Leading Professional Seminar Series captures current, must-know topics and best practices for the advancement of the computing profession. Each lecture is approximately 30 minutes, and made available to professionals in the field at no charge through the sponsorship of the IEEE-CS Certification and Professional Education program.

Upcoming Seminars

Seminar title Lecturer Date Time Register

Data Science and Big Data Analytics:
From Sensors to Sense

Duration: 45 minutes

Seminar description

Kirk Borne Tuesday
25 November
10 a.m. PST
1 p.m. EST
6 p.m. UTC
Register

Moving from Vision to Design:
User-Centered Methods for New Product Definition

Duration: 45 minutes

Seminar description

Dorothy M. Danforth Tuesday
2 December
10 a.m. PST
1 p.m. EST
6 p.m. UTC
Register

Bridging the Gap between Agile Development and Data Governance

Duration: 45 minutes

Seminar description

Robert Seiner Thursday
4 December
10 a.m. PST
1 p.m. EST
6 p.m. UTC
Register

Predictive Analytics 101:
What You Need to Know Now That Big Data Is Hot

Duration: 45 minutes

Seminar description

Mike Gualtieri Tuesday
9 December
10 a.m. PST
1 p.m. EST
6 p.m. UTC
Register

Thinking Differently about Data and Data Careers in the Post Big Data Era

Duration: 45 minutes

Seminar description

Peter Aiken Thursday
11 December
10 a.m. PST
1 p.m. EST
6 p.m. UTC
Register

Does Bigger Data Mean Better Business Intelligence?

The old world of business intelligence (BI) is changing beyond recognition as novel business opportunities and new types of data come to the fore. Analytics is driving the recombination of operational and informational systems in a consistent and coherent IT environment for all business activities. Big data and the Internet of Things—despite the hype—introduce two very different types of information that transform how business interacts with the external world.

The outcome is a new biz-tech ecosystem of "Business unIntelligence" that reinvents all aspects of doing business. In this seminar, Dr. Barry Devlin offers a coherent approach to moving from the old world to the new, covering:

  • Business and technology drivers for change
  • A modern logical architecture for information, based on distinct information types
  • The move from data layers to information pillars.

Barry Devlin

Barry Devlin

Dr. Barry Devlin is among the foremost authorities on business insight and one of the founders of data warehousing, having published the first architectural paper on the topic in 1988. With over 30 years of IT experience, including 20 years with IBM as a Distinguished Engineer, he is a widely respected analyst, consultant, and lecturer, as well as author of the seminal book Data Warehouse—from Architecture to Implementation, the 2013 book Business unIntelligence—Insight and Innovation beyond Analytics and Big Data, and numerous white papers.

Barry is founder and principal of 9sight Consulting. He specializes in the human, organizational, and IT implications of deep business insight solutions that combine operational, informational, and collaborative environments. A regular tweeter (@BarryDevlin) and contributor to ITKnowledgeExchange and TDWI, Barry is based in Cape Town, South Africa, and operates worldwide.

Predictive Analytics 101:
What You Need to Know Now That Big Data Is Hot

Got big data? If so, you can use it to make smarter business decisions, sell more, make customers more loyal, and even avert disasters. Predictive analytics help do all that, but it isn't easy to apply the right data mining algorithms and create predictive rules that make a real difference to business outcomes. In this session, Forrester Research Principal Analyst Mike Gualtieri introduces the fundamentals of predictive analytics that every engineer should know.

Mike Gualtieri

Mike Gualtieri

Mike Gualtieri is a principal analyst serving application development and delivery professionals at Forrester Research.

Mike's research is focused on software technology, platforms, and practices that enable technology professionals to deliver prescient customer experiences and breakthrough operational efficiency. His key technology and platform coverage areas are big data strategy, Hadoop, advanced analytics, machine learning, data science practices, predictive apps design, and emerging technologies that make software faster and smarter. Mike is also a leading expert on the intersection of business strategy, architecture, design, and creative collaboration.

Mike has more than 25 years' experience in the industry helping firms design and develop mission-critical applications in eCommerce, insurance, banking, travel/hospitality, manufacturing, healthcare, and scientific research for organizations including NASA, eBay, Bank of America, Liberty Mutual, Nielsen, EMC, and others. He has written thousands of lines of code, managed development teams, and consulted with dozens of technology firms on product, marketing, and R&D strategy.

Mike earned a BS in computer science and management from Worcester Polytechnic Institute. While a student, Mike was awarded three US patents for inventing an expert system used to train air traffic controllers around the world.

Data Science and Big Data Analytics:
From Sensors to Sense

In this program, Dr. Borne will present highlights from several research projects that students are pursuing in the George Mason University program in data science and informatics. These projects cover astronomy, medical research, finance, big data, climate science, text analytics, and more. He will demonstrate the strong transdisciplinary nature of the research problems, the research objectives, the data science methodologies being explored, and some early results from the projects. In all cases, scientific exploration, discovery, and computational modeling concepts are applied to large data sets—this is the common thread that unites such diverse data-driven research programs, with the goal of transforming scientific measurements (from sensors) into scientific knowledge and insights (sense).​

Kirk Borne

Kirk Borne

Dr. Kirk D. Borne is a Data Scientist and Professor of Astrophysics and Computational Science at George Mason University. He does research, teaches, and advises students in the theory and practice of data science. He is also an active consultant to numerous organizations in data science and big data analytics. He previously spent nearly 20 years supporting large scientific data systems for NASA astrophysics missions, including the Hubble Space Telescope. He was identified in 2013 as the Worldwide #1 Big Data influencer on Twitter at @KirkDBorne.

Bridging the Gap between Agile Development and Data Governance

Many organizations are applying the concepts of agile software development and data governance in many ways with differing levels of success. The practices often appear to be at odds with each other, with advocates of one stressing rapid process while the others stress quality and formalized stewardship of the data. The truth is that the practice of data governance, when applied in a non-invasive manner, can work in tandem and need not conflict with the agile approach to software development—at least to a certain degree.​

Join Bob Seiner for this webinar exploring ways to bridge the gap between agile and data governance. Both of these subjects spark interest from skeptics and believers alike. All viewpoints will be considered.

This session will cover the following:

  • Understanding the Agile Manifesto
  • Understanding non-invasive data governance
  • Applying non-invasive data governance to agile efforts

Robert Seiner

Robert Seiner

Robert (Bob) S. Seiner, president and principal of KIK Consulting & Educational Services (KIKConsulting.com) and the publisher of The Data Administration Newsletter (TDAN.com), specializes in Non-Invasive Data Governance™, data stewardship, and metadata management. Based in Pittsburgh, Mr. Seiner has been recognized by the International Data Management Association (DAMA-I) with the Professional Award for significant and demonstrable contributions to the data and information management industry. Mr. Seiner's new book, Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success, was published in September of 2014.

Moving from Vision to Design:
User-Centered Methods for New Product Definition

It's a common scenario: A company is planning a new product or significant redesign. There have been various discussions about how the product should have a "great user experience" and "focus on the user." But, there are also conflicting ideas on what a great experience might entail, along with competing priorities for what the product absolutely must do to be successful in the marketplace. ​

Where to begin? How do you break through the confusion and move towards a clarified product vision? Whether a large established corporation or lean start-up, organizations struggle with progressing from early ideation into clear requirements and a tangible design phase. This webinar will explore ways to leverage user experience design methods in the very early stages of the product life cycle.

This session will cover the following:

  • An overview of practical user research and design planning methods useful for early stage products and redesigns
  • Strategies for leveraging these methods to refine a product's vision and ensure features are tied to user goals
  • Examples of how keeping a focused eye on user needs can help resolve conflicting priorities and promote product team alignment

Dorothy M. Danforth

Dorothy M. Danforth

Dorothy is founder and principal for Danforth Media. A strategist with nearly 20 years in software user experience design and usability research, she is an active partner in helping clients improve their products. Dorothy has worked with a broad range of consumer applications and has special competency with B2B SaaS operational systems (CRM, payment, logistics, ERM, CMS, etc). She has produced substantive results for high-growth Cupertino start-ups, medium-sized software firms, and larger entities such as Astrazeneca, Bath & Body Works, Comcast, Toys"R"Us, and the University of Pennsylvania.

Previous to her work as a consultant, Dorothy founded a SaaS company based on a (LAMP) CMS she invented (developed) in the mid '90s. She was a founding employee and directed Web services for a DSL provider, Telocity, through IPO and sale to DirecTV. She led creative services for a start-up systems integrator and was VP Product Management for PcFirst, a data transfer SaaS. Dorothy also co-founded the Taproot Foundation, a volunteer management nonprofit.

Thinking Differently about Data and Data Careers in the Post Big Data Era

It is a good time to pause and reflect on three items that current research indicates are still problematic for most organizations. First, is the growing understanding that data as an asset has certain characteristics that argue for better treatment. Second, the way in which data is taught should be reconsidered. Teaching future researchers and business leaders that data is solely a technical skill leads to directly to its poor treatment within organizations. Third, data research would benefit from a more socio-technical focus. Applying these items in concert will help organizations to recognize that we need to think differently about our organization's sole non-depletable, non-degrading, durable strategic asset. ​

Peter Aiken

Peter Aiken

Peter Aiken is acknowledged to be a top data management (DM) authority. As a practicing data consultant, author and researcher, he has been actively performing and studying DM for more than 30 years. His expertise has been sought by some of the world's most important organizations and his achievements have been recognized internationally. He has held leadership positions and consulted with more than 75 organizations in 21 countries across numerous industries, including defense, banking, healthcare, telecommunications, and manufacturing. He is a sought-after speaker and author of multiple publications, including his latest, the "Case for the CDO" and "Monetizing Data Management." Peter is the Founding Director of Data Blueprint, a consulting firm that helps organizations leverage data for competitive advantage and operational efficiencies. He is also Associate Professor of Information Systems at Virginia Commonwealth University (VCU), past President of the International Data Management Association (DAMA-I), and a Senior Member of the ACM.

Seminar Videos

Seminar title Lecturer Presentation Video

Does Bigger Data Mean Better Business Intelligence?

Seminar description

Barry Devlin

At the Nexus of Cybersecurity and Public Policy

Seminar description

Download references

Herb Lin

Systems Management:
Integrating Systems Engineering and Project Management Practices

Seminar description

Dennis Van Gemert

Building Security In:
Preparing for a Software Security Career

Seminar description

Download references

Nancy Mead

How Value Engineering Powers Innovation

Seminar description

Craig Squires

Developing Systems Engineering Workforce Capability

Seminar description

Download references

Heidi Davidz

Big Data Analytics for Security

Seminar description

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Alvaro Cardenas, Pratyusa Manadhata, and Sreeranga Rajan

Big Data Analytics for Security

Big data is changing the landscape of security tools for network monitoring, security information and event management, and forensics; however, in the eternal arms race of attack and defense, security researchers must keep exploring novel ways to mitigate and contain sophisticated attackers.

Systems Management: Integrating Systems Engineering and Project Management Practices

Covers project and cost drivers, requirements, and systems thinking.

Developing Systems Engineering Workforce Capability

Practical solutions for accelerating the development of senior systems engineers.

Heidi Davidz

Heidi Davidz

Heidi Davidz is a Principal Engineer in Systems Engineering at Aerojet Rocketdyne, where she leads the Model-Based Systems Engineering (MBSE) initiative. In addition to MBSE, her research interests include systems engineering workforce development and systems engineering capability enhancement. Davidz received a PhD in engineering systems from the Massachusetts Institute of Technology, where her dissertation addressed accelerating the development of senior systems engineers. She has a breadth of experience in the aerospace industry from supporting NASA Headquarters to running hot-fire rocket engine tests. Through several companies, she has worked in pre-acquisition planning, design, systems engineering, test, continuous improvement, and operational support. She is on the editorial board of the Body of Knowledge and Curriculum to Advance Systems Engineering (BKCASE) and is a member of the International Council on Systems Engineering.

How Value Engineering Powers Innovation

Optimizing an enterprise's technologically innovative projects through value engineering.

Craig Squires

Craig Squires

Craig L. Squires, CVS, is Managing Partner of NWIS.net and Immediate Past President of SAVE International. He is a Certified Value Specialist (CVS), the highest certification level in value engineering (VE). He is recognized globally in the VE community for his contributions to advancing VE and related technologies. He completed his term as President in June 2013 after serving as Executive Vice President (2009-2011), VP - Global Affairs (2007-2009), and Houston SAVE Chapter President (2005-2007). In 2012, he was the third recipient of the "Distinguished VE Service Award" from SJVE, Japan's VE society. He was also the first non-Korean to be awarded SKVE's highest award for excellence in VE. In 2009, he was recognized with the "Rising Star Award" by SAVE International. He has a bachelor's degree in international relations and a minor in Japanese. Along with 25+ years in international business development, he speaks five languages, including Japanese (fluently) and Chinese (Mandarin).

Building Security In: Preparing for a Software Security Career

Carnegie Mellon University's Software Engineering Institute (SEI) has developed a set of software assurance curriculum guidance documents, which provides a foundation for preparing a software security workforce. This presentation describes the SEI Software Assurance Curriculum Project's work and the curriculum guidance documents. A case study illustrates how individuals could use the curriculum guidance.

Dennis Van Gemert

Dennis Van Gemert Twenty years' experience in program and project management; systems engineering; systems integration; mission assurance; process development and integration; flight mechanics and performance analyses; mechanical, structural, and ordnance systems design; payload accommodations; systems architecture; launch vehicle flight-worthiness certification; and proposal and source selection operations, for the DoD, NASA, and IC. Experience spans the Launch, Space, and Ground Segments of space systems. Also 8 years' experience lecturing at The University of California on the topics of Project Management, Systems Engineering, Risk Management, Procurement Management, and Earned Value Management. Project Management Professional (PMP) and Certified Systems Engineering Professional (CSEP) credentialed, with Masters Degrees in Aerospace Engineering and Project Management, and honored to be recognized as an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA), and awarded an Aerospace Corporation Spot Award for "Excellence in Multi-disciplinary Team Leadership."

Building Security In: Preparing for a Software Security Career

Carnegie Mellon University's Software Engineering Institute (SEI) has developed a set of software assurance curriculum guidance documents, which provides a foundation for preparing a software security workforce. This presentation describes the SEI Software Assurance Curriculum Project's work and the curriculum guidance documents. A case study illustrates how individuals could use the curriculum guidance.

Alvaro Cardenas, Pratyusa Manadhata, and Sreeranga Rajan

Alvaro A. Cárdenas

Alvaro A. Cárdenas is an Assistant Professor at the Department of Computer Science in the Erik Jonsson School of Engineering at the University of Texas at Dallas, where he is a member of the Cyber Security Research and Education Institute. He holds MS and PhD degrees from the University of Maryland, College Park. Before joining UT Dallas he was a postdoctoral scholar at the University of California, Berkeley, and a research staff at Fujitsu Laboratories of America in Sunnyvale California. His research interests focus on computer security, network intrusion detection, and big data.

Pratyusa K. Manadhata

Pratyusa K. Manadhata is a senior researcher at HP Labs. His research interests include security and privacy, with a current emphasis on big data analysis for security. Manadhata received a PhD in computer science from Carnegie Mellon University. He received a best paper award at MobiSec 2012. He has been on the program committees of many conferences and workshops. He is a member of the ACM, the IEEE, and the USENIX Association.

Sreeranga Rajan

Sree Rajan is serving as the Director of Software Systems Innovation Group at Fujitsu Laboratories of America (FLA), Sunnyvale, CA. Sree joined FLA in 1996 from Stanford Research Institute (SRI) International. He is the co-author of more than 25 patents and 30 refereed publications in top-tier conferences and journals in the areas of program analysis and symbolic execution. He has served on conference program committees and chaired standards committees. He is the co-recipient of President's award at Fujitsu. His work on symbolic execution was recognized by NASA as one of top 50 technologies in 2010. Sree served as the founding editor-in-chief of ACM Transactions on Storage from 2004 to 2010. Sree is the founding chair of a global big data research group with more than 50 researchers and practitioners from different organizations in cloud security alliance. Sree is a senior member of IEEE.

Nancy Mead

Nancy Mead

Nancy R. Mead is a Fellow and Principal Researcher at the Software Engineering Institute (SEI). Mead is an Adjunct Professor of Software Engineering at Carnegie Mellon University. She is currently involved in the study of security requirements engineering and the development of software assurance curricula. She also served as director of education for the SEI from 1991 to 1994. Her research interests are in the areas of software security, software requirements engineering, and software architectures.

Prior to joining the SEI, Mead was a senior technical staff member at IBM Federal Systems, where she spent most of her career in the development and management of large real-time systems. She also worked in IBM's software engineering technology area and managed IBM Federal Systems' software engineering education department. She has developed and taught numerous courses on software engineering topics, both at universities and in professional education courses.

Mead has more than 150 publications and invited presentations, and has a biographical citation in Who's Who in America. She is a Fellow of the Institute of Electrical and Electronic Engineers, Inc. (IEEE) and the IEEE Computer Society, and a Distinguished Member of the ACM. Mead serves on the Editorial Board for the International Journal on Secure Software Engineering, and has been a member of numerous advisory boards and committees.

Mead received her PhD in mathematics from the Polytechnic Institute of New York, and received a BA and an MS in mathematics from New York University.

At the Nexus of Cybersecurity and Public Policy

This talk explores how fundamental aspects of information technology affect cybersecurity, the nature and structure of adversarial activities in cyberspace, approaches to enhance cybersecurity, inhibitors of policy progress with respect to cybersecurity, and some findings of the National Academies about cybersecurity today.

Herb Lin

Herb Lin

Herbert Lin is Chief Scientist at the Computer Science and Telecommunications Board, National Research Council of the National Academies, where he has been study director of major projects on public policy and information technology. His projects also have included a number of studies related to cybersecurity: At the Nexus of Cybersecurity and Public Policy: Some Basic Concepts and Issues (2014); Proceedings of a Workshop on Deterring Cyberattacks: Informing Strategies and Developing Options (2010); Technology, Policy, Law, and Ethics Regarding US Acquisition and Use of Cyberattack Capabilities (2009); Toward a Safer and More Secure Cyberspace (2007); Engaging Privacy and Information Technology in a Digital Age (2007); Realizing the Potential of C4I: Fundamental Challenges (1999); and Cryptography's Role in Securing the Information Society (1996). Prior to his NRC service, he was a professional staff member and staff scientist for the House Armed Services Committee (1986-1990), where his portfolio included defense policy and arms control issues. He received his PhD in physics from MIT.

Does Bigger Data Mean Better Business Intelligence?

The old world of business intelligence (BI) is changing beyond recognition as novel business opportunities and new types of data come to the fore. Analytics is driving the recombination of operational and informational systems in a consistent and coherent IT environment for all business activities. Big data and the Internet of Things—despite the hype—introduce two very different types of information that transform how business interacts with the external world.

The outcome is a new biz-tech ecosystem of "Business unIntelligence" that reinvents all aspects of doing business. In this seminar, Dr. Barry Devlin offers a coherent approach to moving from the old world to the new, covering:

  • Business and technology drivers for change
  • A modern logical architecture for information, based on distinct information types
  • The move from data layers to information pillars.

Barry Devlin

Barry Devlin

Dr. Barry Devlin is among the foremost authorities on business insight and one of the founders of data warehousing, having published the first architectural paper on the topic in 1988. With over 30 years of IT experience, including 20 years with IBM as a Distinguished Engineer, he is a widely respected analyst, consultant, and lecturer, as well as author of the seminal book Data Warehouse—from Architecture to Implementation, the 2013 book Business unIntelligence—Insight and Innovation beyond Analytics and Big Data, and numerous white papers.

Barry is founder and principal of 9sight Consulting. He specializes in the human, organizational, and IT implications of deep business insight solutions that combine operational, informational, and collaborative environments. A regular tweeter (@BarryDevlin) and contributor to ITKnowledgeExchange and TDWI, Barry is based in Cape Town, South Africa, and operates worldwide.