Workshops

Friday, May 31, 2024
9:45 AM

 

Dr. Vivek Varma is a business and technology professional who has led global teams to grow multimillion dollar consulting business in Systems Integrations and Cloud Engineering Practice areas, and delivered Digital Transformation, M&A Integrations, Data & Analytics to Fortune-listed clients and Federal and State governments. He has over 20 years experience in industry and consulting (including 13+ years at Deloitte). At Nielsen IQ, he focused on serving global leaders in Consumer Packaged Goods industry. In the past, he has worked extensively in Financial Services, High Tech, Power & Utilities and Public Sector verticals. As a thought leader, he has presented his work at several international conferences and industry events. His topics of interest include Tech Trends, Applied AI, Disruptive Strategy/Innovation, and Leadership & Management. He holds BS and MS degrees in Industrial and Mechanical Engineering from Indian Institute of Technology, India, and Ph.D. from The University of Melbourne, Australia, in building Decision Support System for Sustainable Development. He has been active as mentor/coach (PMI Chicagoland et al.) and serves on the Boards of several not-for-profit organizations. Lives in Chicagoland with wife and children.

Success and challenges in enterprise Gen AI applications

 

This paper describes a couple of use-cases from the enterprises where OpenAI ChatGPT assistants were used in a limited manner. Two uses-cases are focused on project management and investment decisions. Benefits derived and the challenges faced are discussed. Live demo will also be performed as part of the presentation.

 

Friday, May 31, 2024
10:45 AM

 

Sanjaikanth, a Senior Member of the IEEE, is a results-driven and seasoned professional with over 19 years of extensive experience in developing applications using a diverse set of technologies, including Visual Studio C#, ASP.NET, VB.NET, MS SQL Server, Java, Python, and more. He has demonstrated leadership and expertise in academia as a Technical Program Committee Member for various IEEE conferences and serves as an Editorial Review Board Member for esteemed international journals.Sanjaikanth currently serves as the Associate Editor for the International Journal of Artificial Intelligence in Scientific Disciplines (IJAISD). He has published and presented first-author papers in prestigious conferences and journals.

 

His education includes a Master's in Software Engineering from The University of Texas at Austin (2021), and he is currently pursuing a Ph.D. in Computer Science at the University of North Dakota, with an expected completion in 2025.

 

Sanjaikanth is an accomplished professional acknowledged for outstanding contributions in the corporate sector, having received multiple awards for excellence, including recognition as a Release Champion. He holds a Microsoft Certified Professional (C#) certification, showcasing proficiency in the relevant technologies. Sanjaikanth possesses diverse industry knowledge, having worked in Banking, Telecom, Insurance, Medical, and Retail domains.

Privacy in Motion: Privacy-Preserved Secure Location-Based Services (LBS)

 

This is a hands-on workshop covering techniques to maintain privacy while using LBS facilities.

 

Friday, May 31, 2024
3:45 PM

 

 

Prasenjit lives in Naperville with his wife Tamalika and two kids who are now 5 and 7 years old, an English Creme Golden retriever named Gogol and a Persian cat named TinTin. While Prasenjit is not working, he enjoys outdoors either biking or running.

 

How to build a Composable Enterprise with APIs and Monetize it

 

In today's world, Organisations are running into serious problems dealing with the complexity that arises from the sheer number of applications, systems and data sources within their businesses. Industry benchmark report shows the average enterprise has data in 900 different systems, and only one-third of them are integrated. Business organisation's success lies in unlocking the data, wherever it exists (on-premises, in the cloud, legacy infrastructure) in a way that helps them go faster while still maintaining governance, visibility and security. Every capability that the business has or it needs to develop, can be encapsulated in the form of an API and these APIs can be leveraged internally as well as externally (if required) while taking care of governance, visibility and security. A Marketplace of APIs will serve as reusable building blocks and will allow for self-service . In this workshop, we will look at an API First approach to building a business

• How to think about APIs as Products instead of IT projects.
• How to build the API Strategy for the enterprise.
• How to design APIs as Lego building blocks to create an ecosystem of APIs
• How to make APIs Reusable, Discoverable
• How to manage your APIs to make them secure, resilient and scalable
• How to monetize or build chargeback models to generate revenue or cover IT costs

 

This is going to be an interactive session with real world examples of how businesses big and small have been able to turn their IT from a cost centre to an revenue generating asset by leveraging the principles of Composable enterprise.

 

Saturday, June 1, 2024
9:45 AM

 

Joe Wildenberg is a Vascular and Interventional Radiologist at the Mayo Clinic Health System. His clinical work combines the latest medical imaging technologies to accomplish procedures using a needle that used to require major surgery. In addition, his research into AI and medical informatics focuses on how these tools can augment medical professionals to improve patient access, efficiency and, someday, control the ever-increasing costs of healthcare.

How Modular AI tools can break into the Medical Industry

 

Although Medicine often lags other industries in the adoption of emerging technologies (and for good reasons), AI is finally having an impact on way medical professionals practice and interact with patients. There are many challenges, ranging from interoperability, highly specialized knowledge, hesitancy to add cost to an already-costly interaction and the unpredictability of dealing with patients (who are not just data). However, trust stands out as a hurdle that will be difficult to overcome. Trust in an algorithm will require not only that we believe it is accurate, but that we have a good understanding of its scope and failure modes. We will discuss how smaller, more modular, algorithms can fit into existing niches that do not require a complete rethink of the industry to become viable.

 

Saturday, June 1, 2024
1:15 PM

 

Dr. Lahdhiri received the degree of MS-EE in Communication Systems in 1990 and the PhD degree in Control Systems in 1995. Dr. Lahdhiri is currently working for General Motors LLC in Warren, Michigan, where he is holding the position of Global Strategy Leader for Real-Time Control Systems Simulations and Automation within the Global Validation Department.

 

Dr. Lahdhiri is a licensed Professional Engineer (PE) in the State of Michigan, licensed Project Management Professional (PMP) by the Project Management Institute (PMI), and Master Black Belt DFSS certified by General Motors LLC.

 

Dr. Lahdhiri authored and co-authored over 16 journal papers and 35 conference papers and his areas of interest include Control Systems, Systems Engineering, Real-Time Modeling and Simulation, and Engineering Management.

 

Dr. Lahdhiri is a Senior IEEE member and has been leading several activities within the IEEE organization. Currently, he is the IEEE Region 4 (Central USA) PACE Chair, member of the IEEE-USA Career Professional Development (CPD). Recently, Dr.Lahdhiri held the position of IEEE-USA Vice President of Career Member Services (2018-2019).

 

Dr. Lahdhiri is the recipient of the 2001 IEEE-USA Professional Achievement Award, the 2004 IEEE-USA Professional Leadership Award, and the 2007 IEEE-USA Citation of Honor Award, and the 2012 IEEE Region 4 Jack Sherman Award.

 

Contact Dr. T. Lahdhiri
e-mail: lahdhiri@ieee.org

Electronic Control Units Development: V-Cycle

 

This workshop introduces the V-Cycle for the development of Electronic Control Units (ECU) in industrial applications. The workshop will explain the different phases of the V-cycle: Starting with the requirements, Modeling, rapid-prototyping, Code generations, Hardware-in-the-loop (HIL) testing, and calibration. Participants will learn basic techniques and tools used in the V-cycle. The workshop will include several examples related to automotive applications.