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2017 IEEE Region 4 Workshop on Big Data

Agenda Session Abstracts Presenters Committee business people looking at big data
Wednesday, October 25, 2017
Norris Center
Northwestern University, Evanston, IL

Workshop Co-Hosts:

Northwestern logo

AND

Institute for Cellular Engineering Technologies

This workshop is a balance of both Industry & Academia with:

  • Top level CEOs and Corporate Data Scientists local, national, and international
  • Northwestern University PhD scholar-practitioners seasoned in big data analytics
Mingle with the presenters during this interactive workshop in the beautiful environment of the Norris Center facility at Northwestern University

>>>>>>>>> You can register here <<<<<<<<<<<<<<

Workshop Fees:

  • IEEE Member: $150 *CEU/PDH included
  • IEEE Students & IEEE Life Members: $50
  • Workshop attendee: $300 *CEU/PDH Additional $25
  • Students: $75

The workshop will cover 4 areas of Big Data Analytics:

  1. Descriptive
    A comprehensive review of real time data and the pragmatic utilization of data mining with the utilization of dashboards and email reports
  2. Diagnostic
    A look at past history based on data analysis and the practical application of an analytical dashboard.to answer the question: Why?
  3. Prescriptive
    A way to analyze and transform data into recommended actions for a given situation
  4. Predictive
    An analysis of scenarios using statistical algorithms and machine learning techniques to forecast future results


----------- Sponsorship Information -----------


Top Session Abstracts Presenters Committee

Workshop Agenda

  • 8:15-8:45    |  Continental breakfast, meet, greet, find your seat
  • 8:45-9:00    |  Welcome Dr. Espinoza, NWU
  • 9:00-10:00   |  Session 1 Cynthia Fuller, CVSHealth
  • 10:05-10:40  |  Session 2 Dr. Klabjan, NWU
  • 10:40-10:50  |  Coffee Break
  • 10:50-11:50  |  Session 3 Chris Lambrou, Metro MLS
  • 11:55-12:35  |  Session 4 Dr. Luis Amaral, NWU
  • 12:35-1:35   |  Lunch
  • 1:35-2:35    |  Session 5 Vijitha Kaduwela, Kavi Global
  • 2:40-3:20    |  Session 6 Dr. Ankit Agrawal, NWU
  • 3:20-3:40    |  Afternoon Snack
  • 3:40-4:35    |  Session 7 Dr. Amponsah, Governors State University
  • 4:40-5:20    |  Session 8  Dr. Downey, NWU
  • 5:20-5:45    |  Awards/Wrap-up
  • 5:45-6:45    |  Social Hour/Networking


Top Session Abstracts Agenda Committee

>>>>>>>>> You can register here <<<<<<<<<<<

Workshop Presenters


Ankit Agrawal, Northwestern University

Ankit Agrawal is a Research Associate Professor in the Department of Electrical Engineering and Computer Science at Northwestern University. He got his PhD in Computer Science from Iowa State University in 2009 at 24 years of age, and B.Tech in Computer Science and Engineering from Indian Institute of Technology (IIT) Roorkee, India in 2006.

His research on high performance big data mining aims at a coherent integration of high performance computing and data mining to develop customized solutions for big data problems with an emphasis on interdisciplinary impact. His research has contributed to large-scale data-guided discovery in various science/engineering disciplines, such as materials science, healthcare, bioinformatics, and social media, with several interdisciplinary collaborations with domain scientists in respective fields. He has co-authored 100+ peer-reviewed journal and conference publications, including those at top-tier computer science venues such as KDD, ICDM, CIKM, SDM, ICDE, Supercomputing, HiPC, and interdisciplinary ones like Nature Scientific Reports, APL Materials, npj Computational Materials, JAMIA, PRB, and TCBB. He has also developed and released several open-source software, been on program committees of major research conferences, and has served as a PI/Co-PI on funded research grants from NSF, DOE, AFOSR, NIST, DARPA, and NU-DSI.
Luis Amaral PhD, Northwestern University

Luis Amaral is the Eratus Otis Haven Professor and a Professor of Chemical and Biological Engineering in the McCormick School of Engineering at Northwestern University. Amaral has served as the co-director of the Northwestern Institute on Complex Systems (NICO) since 2013 and as the chair of Northwestern's Data Science Initiative since 2014. Amaral's research interests include the emergence, evolution, and stability of complex social and biological systems; his research aims to address some of the most pressing challenges facing human societies and the world's ecosystems, including the mitigation of errors in healthcare settings, the characterization of the conditions fostering innovation and creativity, and the growth limits imposed by sustainability. Recently, Amaral proposed the development of cartographic methods for the representation of complex biological networks, which enable researchers to glean important information on a given system at the scale of interest to the researcher. Amaral received a CAREER award from the National Institutes of Health, was named a Distinguished Young Scholars in Medical Research by the W. M. Keck Foundation, and has been selected as an Early Career Scientist by the Howard Hughes Medical Institute. He is a Fellow of the American Physical Society and of the American Association for the Advancement of Science. Amaral earned his bachelor's and master's degrees in Physics from the Universidade de Lisboa and his PhD in Physics from the Universidade de Lisboa in 1996.
Doug Downey, Professor, Northwestern University

Doug Downey is an Associate Professor of Computer Science in the EECS Department of Northwestern University. His research focuses on natural language processing, machine learning, and artificial intelligence. His lab develops new methods for language modeling at scale, new methods for extracting knowledge from text with limited human input, and new Web search applications. His honors include being selected for the Defense Advanced Research Projects Agency (DARPA) Computer Science Study Group, a Microsoft New Faculty Fellowship, and a National Science Foundation (NSF) CAREER Award.
Cynthia Prescott Fuller, Enterprise Data Steward, Enterprise Data Archtecture and Services, CVSHealth

As an Enterprise Data Steward within EDAS, Cindy brings 23 years of PBM business and analytical experience to the table. In this role, Cindy works closely with I.T. and business to prioritize and onboard subjects/data domains for governance and stewardship. She also serves as a data librarian, maintaining metadata and acting as a data subject matter expert to end users throughout the enterprise organization.

Prior to CVS Caremark, Cindy worked in the hospital sector for 17 years. In her position as a pharmacy technician, she was schooled in the importance of providing accurate service to an in-patient population, where timeliness in the delivery of that service was often critical. She also has experience in the Home Health Care environment, where she served the pharmacy needs of patients in the Atlantic Seaboard region for acute and chronic illnesses, including cancer. In a voluntary capacity, Cindy spent a period of three years caring for infants with a variety of severe, chronic, and terminal illnesses. In addition to her knowledge base in the health care field, Ms. Fuller graduated summa cum laude at the University of Baltimore with a B.A. in History.
Vijitha Kaduwela, CEO & Founder, Kavi Global

Vijitha is the founder and CEO of Kavi Global, a firm that brings innovation to Data Analytics across platforms, Services and Solutions. Prior to starting Kavi in 2008, Vijitha spent 15 years in corporate America. He accepted a Data Scientist role (called R&D Analyst at the time) with United Airline’s Enterprise Optimization group he specialized in Revenue Management, Forecasting and Pricing Optimization. He also gained valuable exposure to Aircraft Scheduling, Crew Scheduling, Aircraft Maintenance and other applications of Data Analytics required for operating a large commercial airline.

Following United, Vijitha joined GE Capital, where he held several business and technology leadership roles supporting Finance, Asset Management, Risk, Sales, Marketing, Customer Service, Field Services and Pricing functions in Data Management and Analytics. At GE, his team won many prestigious external awards, including the Data Warehouse Institute (TDWI) Best Practice Award along with Boeing and CISCO in 2008. They were a finalist at the Computerworld Enterprise Intelligence Awards under the category of Industry Innovation and Gartner’s Enterprise Intelligent Award. The Data Analytics group Vijitha pioneered made a tremendous business impact at GE and was a recipient of the internal President’s Award.

Prior to his corporate career, at University of Arizona, Vijitha conducted fundamental research in Intelligent Vehicle Highway Systems funded by Federal Highways and California Department of Transportation. Vijitha received his MS degree in Systems Engineering from University of Arizona. He also received BS and MS degrees in Electrical Engineering from the Georgian Polytechnic Institute in Tbilisi, Georgia, a republic of former USSR.

Originally from Sri Lanka, Vijitha is fluent in Sinhala (one of the languages spoken in Sri Lanka), Russian and English. Vijitha loves to champion innovation and cherishes nurturing why-not thoughts at every level. An avid practitioner of Data Analytics, Vijitha is passionate about encouraging and operationalizing new ideas. Outside of work, he is an accomplished violinist with an extensive eastern and western classical music repertoire.
Diego Klabjan, PhD, Professor, Northwestern University

Diego Klabjan is a professor at Northwestern University Department of Industrial Engineering and Management Sciences. He is also Founding Director for the Master of Science in Analytics program.

After obtaining his doctorate from the School of Industrial and Systems Engineering of the Georgia Institute of Technology in 1999 in Algorithms, Combinatorics, and Optimization, in the same year he joined the University of Illinois at Urbana-Champaign. In 2007 he became an associate professor at Northwestern and in 2012 he was promoted to a full professor.

His research is focused on machine learning, deep learning and analytics with concentration in finance, transportation, sport, and bioinformatics. Professor Klabjan has led projects with large companies such as Intel, Baxter, AbbVie, FedEx Express, General Motors, United Continental, and many others, and he is also assisting numerous start-ups with their analytics needs. He is also a founder of Opex Analytics LLC.
Chris Lambrou, CIO MetroMLS

An award-winning software architect, a customer service activist, an IT mongrel, an accomplished musician (in his own mind), a baseball enthusiast and daddy of two (the most challenging task of all).

Fascinated with real estate technology and the powerful role it plays in the everyday lives of of many different people, Chris is currently the CIO of Metro MLS in Milwaukee, WI. Chis is also a workgroup chair for RESO (Real Estate Standards Organization) an IEEE member and volunteer.
Top Agenda Session Abstracts Presenters

>>>>>>>>> You can register here <<<<<<<<<<<

Workshop Committee


Director, IEEE Region 4, Bernard T Sander, Jr.

Dr. Bernard (Bernie) Sander retired from Bell Laboratories and Lucent Technologies where he spent over 31 years in the development of radar and switching systems. Bernie has held several technical and management positions with Bell Labs-Lucent, including hardware and software development in wire-line and CDMA switching, systems engineering and project management. Projects included many successful international deliveries. In retirement, Bernie has consulted at Northwestern and Marquette Universities in the design and construction of equipment used for research in human movement studies.
Bernie has been recognized for outstanding personal commitment and contributions to Affirmative Action at Bell Labs-Indian Hill. He was also recognized in 2013 with the IEEE Regional Professional Leadership Award. Bernie and his wife Toni of 49 years have volunteered in outreach programs to couples preparing for marriage and in marriage enrichment. They have 4 children and 9 grandchildren. Dr. Sander has degrees in Electrical Engineering from St. Louis University (BS), California Institute of Technology (MS) and Washington University in St. Louis (DSc).
2018 Director-Elect, IEEE Region 4, David Koehler

David received his Bachelor’s degree in Chemistry from Indiana University and obtained his MBA. He is the Technical Manager for the Doble Engineering Company Insulating Materials Laboratories. He has 19 years of experience in the testing of insulating fluids and management of analytical laboratories. He has provided numerous technical presentations and published technical articles within the power industry. He also serves on the ASTM D-27 Technical Committee on Electrical Insulating Liquids and Gases.
David was an executive committee member of the Indiana American Chemical Society in 2011 and remains active within the organization. As an IEEE Sr. Member, he is extremely active as a volunteer in IEEE both at the section and region levels. He is the IEEE Region 4 Director-Elect and serves as the chair for both the IEEE Region 4 Strategic Planning and Conference Committees.
Program Chair, Vickie Peters

Vickie is employed as a consultant at a leading healthcare corporation where she specializes in IT Project management and clinical implementations and is the lead consultant for one of their largest clients. She has held several technical, management and lead analytical positions with the Office of the Honorary Counsel General, Motorola, Blue Cross/BlueShield, BearingPoint, and the Chicago Board of Education among other clients. Vickie studied at Youngstown State University for a Bachelor of Science in Chemistry and earned degrees from University of Phoenix, AZ (BSIT & MIS) and completed PhD studies in Information Systems (Capella University).
Academic Event Planner, Northwestern University, Lana Kiperman

Lana Kiperman has been with EECS Department of Northwestern University since 2002. Lana plans and oversees majority of EECS Department events - Distinguished and regular seminars, mini and large conferences-workshops on and off campus, poster fairs, and students' social events. She oversees and manages departmental academic schedule consisting of over 55 courses with 360 sections quarterly. Mrs. Kiperman received M. Ed. in 2001 from DePaul University and B.A. in 1996 from University of Illinois at Chicago.
Registration Chair, Victor Salomon

Victor Salomon is a Field Applications Engineer at Texas Instruments in the Chicago area where he supports engineers in various states in the Midwest. He was previously a Systems Engineer responsible for developing reference design solutions for the Industrial Test and Measurements sector. Victor earned his Bachelor of Science Electrical Engineering (BSEE) from University of Central Florida in Orlando, FL. Victor is a member of the Institute of Electrical and Electronics Engineers (IEEE) and IEEE-Eta Kappa Nu (IEEE HKN).
Awards Chair, Dr. Alan Sahakian

Alan V. Sahakian received the Ph.D. in ECE with a minor in CS, and the MSEE from U.W. Madison. During his graduate study he was also a Senior Electrical Engineer at Medtronic, Inc. His BS was in Applied Science and Physics from the University of Wisconsin-Parkside. He is currently John A. Dever Professor and the Chair of EECS and Professor of BME at Northwestern University. He is also the Director of the EECS Signals and Systems Division and a member of the academic affiliate staff at NorthShore University HealthSystem (Evanston Hospital). He has served as a resident visiting scholar in the Center for Excellence in Reliability and Maintainability at the Air Force Institute of Technology. He was a Distinguished Lecturer of the IEEE Engineering in Medicine and Biology Society and served that society for two terms as Vice President for Publications and Technical Activities. He is a Fellow of AIMBE and of the IEEE “for contributions to electrophysiology of atrial cardiac arrhythmias.” In addition to cardiac electrophysiology, his lab studies electromagnetic and photonic methods of medical imaging and diagnostics, irreversible electroporation for tumor ablation, and spintronic and other beyond-CMOS logic circuits. His recent research is funded by the NIH, NSF, DoD Breast Cancer Research Program, the Defense Intelligence Agency, Intel and Medtronic.
Technical Activity Chair, Horacio Espinosa, Ph.D.

Horacio D. Espinosa is the James and Nancy Farley Professor of Manufacturing and Entrepreneurship, Director of the Institute for Cellular Engineering Technologies, and Director of the Theoretical and Applied Mechanics Program at the McCormick School of Engineering and Applied Sciences at Northwestern University. He received his Ph.D. in Applied Mechanics from Brown University.

Dr. Espinosa has made contributions in the areas of dynamic failure of advanced materials, micro, and nanomechanics. He is a foreign member of the European Academy of Arts and Sciences, the Russian Academy of Engineering, and Fellow of AAAS, AAM, ASME, and SEM. He received numerous awards and honors including the ASME THURSTON award, the Society for Experimental Mechanics LAZAN, HETENYI and SIA NEMAT-NASSER awards. He was the Timoshenko visiting Professor at Stanford University in 2011, President of the Society of Engineering Science in 2012, and currently serves on two committees of the National Academies, the U.S. National Committee on Theoretical and Applied Mechanics and the Panel on Materials Science and Engineering to advise the Army Research Lab.
Operations/Logistics Chair, Anthony Ehiri

Anthony Ehiri was born in Nigeria in 1984. He received his B.Sc. in Physics from Federal University of Technology Owerri, Nigeria and M.Sc. in Electrical Power Engineering from BTU Cottbus, Germany in 2007 and 2011, respectively. He has held engineering positions in several engineering companies and currently with Morton Salt Inc, Chicago, USA, as a Procurement Engineer. Anthony is a member of the Institute of Electrical and Electronics Engineers (IEEE), currently the Chair of Chicago Section Professional Activity for Engineers (PACE). He is also a member of the National Society for Black Engineers (NSBE) and currently serving as the Chicago Section Director of Corporate Partnership.
Website and Marketing, Pete Salerno

Pete is a PMI certified PMP and an IEEE Senior Member with over 30 years of experience in computer systems & software, telecommunications, and avionics. He has performed a broad range of roles from design engineer and project manager to product marketing and business development.
Pete has held a wide range of positions from hardware and software design & development engineering, project management, pre- and post-sales engineering, product marketing, business development, and strategic alliance management. and has a BS in Engineering Science from the University of Steubenville.
He is the Founder & Principal Consultant for Stratus Concept and a Senior Advisor for Tier1 Technology Solutions.
Top Agenda Session Abstracts Presenters Committee

Session Abstracts


Descriptive Analytics


Cynthia Fuller, Enterprise Data Scientist, CVSHealth

The Essentials of Working with Big Data and Practical Use

This session is geared for the understanding and in-depth knowledge of the pragmatic utilization of data mining with the use of dashboards and reports from a healthcare industry perspective. A general overview of general terms and usage, data structure, relational databases, and queries via structured query language (SQL) demonstrating how to get desirable results will be discussed.

Chris Lambrou, CIO, MetroMLS

The Anatomy of Public Data

At the forefront of big data initiatives from local and state-wide levels and at the federal level (eGov, data.gov movement) stands one common denominator - Public Data. Public data will be examined from its hand-written origin to practical use in the real world. The session will also compare data management and reporting tools being utilized today and tools that are currently under development. The speaker will give a demonstration of a tool that processes raw public data from the 72 counties and 1200+ municipalities of the State of Wisconsin. Discussion will include the practical use that comes from this giant ecosystem.

Diagnostic Analytics


Dr. Ankit Agrawal, NWU

High Performance Data Mining: An Essential Paradigm for Interdisciplinary Big Data Analytics

The ability to collect huge amounts of data (popularly known as big data) in practically all fields has greatly surpassed our analytical capability to make sense of it, underscoring the emergence and popularity of the fourth paradigm of science, which is data-driven science and discovery. This session will present ongoing research on high performance data mining, which aims at a coherent integration of what is considered to be the two enabling technologies for big data analytics - high performance computing and data mining - with an emphasis on solving real-world problems via interdisciplinary collaborations with domain experts. Particular highlights will include areas of research results both in high performance data mining and in interdisciplinary application domains like materials informatics, healthcare informatics and social media analytics.

Prescriptive Analytics


Dr. Doug Downey, NWU

Deep Learning,-Appropriate Use and Limitations: How Organizations Can Make Effective Business Decisions

In recent years, the machine learning technique known as Deep Learning has set new benchmarks on many tasks, such as recognizing objects in images or translating sentences from one language to another. This talk will cover what makes deep learning different from analytics, and how organizations can use deep learning to help make decisions today. Examples will be drawn from recent results in using deep learning for text processing. Finally, the talk will clarify the limitations of deep learning - when the technique is appropriate, and when it is not.

Predictive Analytics


Dr. Diego Klabjan, NWU

New Applications for Images and Video Processing with Deep Neural Networks

Convolutional neural networks are the de-factor standard for image processing with deep neural networks. Their performance is excellent for object recognition from images. However business and scientific applications often deviate from textbook examples. The session will review the convolutional neural networks and select extensions. Based on applications with business collaboration, the discussion will focus on several new tweaks to standard networks. In addition to the actual models, training tricks will also be presented.

Vijitha Kaduwela, CEO Kavi Global, LLC

A Day in the Life of a Data Scientist: A Preview of Next Generation Data Analytical Tools Utilizing Quantitative Techniques

Harvard Business Review has proclaimed data science "the sexist job of the 21st Century." Human and smart machines are working in tandem to drive the next wave of business efficiencies through the application of analytics. This interactive session is designed to offer the audience a sneak preview of a day in the life of a data scientist in the near future. The audience will have an opportunity to see the next generation tools in action - how data scientists will use them for data acquisition and management along with advanced analytics to efficiently solve complex business problems.


Dr. Luis Amaral, NWU




Dr. Nana Amponsah, Governor State University






Top Agenda Session Abstracts Presenters Committee

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