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Dr. Mariana Hentea

Howard Rockman Registered Patent Attorney and Partner with Rockman, Videbeck & O'Connor

Howard B. Rockman is a registered patent attorney and partner with Rockman, Videbeck & O'Connor. Howard represents clients in litigation of patent, copyright, trademark and trade secret cases in Federal and State Courts, as well as clients seeking to secure domestic and foreign intellectual property rights before the U.S. Patent and Trademark Office, the U.S. Copyright Office, and similar intellectual property offices throughout the world.

Industry Experience
Howard began his legal career as a Patent Examiner at the U.S. Patent and Trademark Office before moving on to his role as an Assistant Attorney General at the U.S. Department of Justice. He worked in the Antitrust Division and Patent Litigation Sections of the Justice Department.

Teaching Positions
Adjunct Professor of Intellectual Property Law: John Marshall Law School, University of Illinois at Chicago College of Engineering, Northwestern University College of Engineering. Author of Textbook: "Intellectual Property Law for Engineers and Scientists," John Wiley & Sons (2004)

Professional Activities

• American Bar Association, Intellectual Property Law Section
• Institute of Electrical and Electronic Engineers (IEEE)
• U.S. Army Corps of Engineers and Judge Advocate General Corps 1960-1968

Education

• The George Washington University Law School, J.D. with Honors, 1963
• Drexel University, B.S. Mechanical Engineering, 1959

Bar and Court Admissions

• U.S. Patent and Trademark Office
• Supreme Court of Illinois
• Court of Appeals of Maryland
• U.S. Supreme Court
• U.S. Court of Appeals for the Federal Circuit
• U.S. Court of Appeals - Seventh Circuit
• U.S. District Court - Northern District of Illinois, Trial Bar

1. Introduction
1. Intellectual Property Basics
1. Patents
2. Trademarks
3. Copyright
4. Trade Secrets

Dr. John Talburt

• How to define data quality in terms of data requirements and data standards
• How to apply the proven principles of total quality management (TQM) to improve the quality of your data and data processes including a hands-on exercise
• How to get away from reactive supply-side data quality management and transform your operations into demand-side data quality management to get ahead of data quality issues and continually improve data operations
• Understand the new ISO 8000-61 reference model for data quality management and what is required to be in compliance with the standard
• How to interpret data profiling results - How to use column profiling, frequency profiling, pattern profiling, and data redundancy profiling to assess data, includes a hands-on exercise
• Introduction to the Data Quality Assessment Framework (DQAF) for building a comprehensive system for data quality measurement

Dr. Erik Baker Associate Professor of Aviation and Transportation, Lewis University

The Lewis University Aviation department is a national leader in aviation education, established in 1932, the Lewis University name is well known and highly regarded for giving aviation graduates a strong professional network to tap into and a competitive advantage. Lewis Aviation has active partnerships at both O'Hare and Midway International airports and has its very own regional airport right on-campus, providing students with total immersion into the aviation industry that is simply unmatched by programs in more rural locations.

Jason Keleher Professor and Chair of Chemistry Lewis University

Supramolecular nanocomposite materials have emerged as an interdisciplinary research area that exploits synergistic relationships at the nanoscale to enhance the electrochemical properties of next-generation responsive systems. Therefore, mechanistic understanding tailored to the nuances involved in synthesizing and characterizing these complex ensemble materials and correlating to macroscopic properties is greatly needed. This seminar will present two applications where an external stimulus activates a nanocomposite system to attain a desired response.

Chemical Mechanical Planarization (CMP) has emerged as a critical polishing process step for achieving angstrom-level uniformity in advanced integrated circuit manufacturing and has ultimately led to the extension of Moore's Law. Currently, the most common processing condition to modulate removal rate is using mechanical parameters (i.e. downforce, flow rate, and platen speed). However, these parameters may manifest in increased defectivity (i.e. scratches and surface contamination) due to increased shear force/friction and interfacial chemical activity. This work focuses on utilizing photo-switching mechanisms to tune the slurry nanoparticle surface to enhance its electrophilicity and ultimately increase the removal rate upon irradiation. More specifically, we will discuss two modes of photo-switching to modulate oxide removal rates selectively. One mode exploits a photo-induced adsorption/desorption mechanism to alter the oxygen vacancy availability to provide an "off/on" switch for removal. While another mode utilizes a light-induced ligand-metal charge transfer (LMCT) in which the particle is reduced, and the functional additive is desorbed, allowing for greater oxygen vacancies as well as less steric hindrance.

Biomimetic nanocomposite matrices have emerged as a polymeric scaffold that exploits synergistic relationships at the nanoscale to enhance physiochemical properties for next-generation sensing applications. These composite systems can be synthesized from natural biopolymers (i.e., polysaccharides and cellulose) which take advantage of their well-defined, three-dimensional network and intrinsic properties. The diversity in molecular structure (i.e., pendant functional groups) present make these backbones ideal for synthetic modification and incorporation into covalent and non-covalent networks. This work will discuss the strategic design of hydrogels, emphasizing the selection of the biopolymer network and the critical role of incorporating additives, such as biomimetic crosslinking agents (lactones/amino acids) and antimicrobial nanoparticles (NPs), have on the resultant properties of the nanocomposite. Results have shown that the biomimetic additives' hydrogen bonding capacity impacts the hydrogel network's packing density and therefore modulates the resultant swellability. Furthermore, adding Ag/TiO2 nanoparticles provided contact-based antimicrobial activity and enhanced closure rates of simulated wounds in adult human dermal fibroblasts (HDFa). Subsequent functionalization of the backbone will be done via metal-coordination assisted photopolymerization of conductive polymers (i.e., aniline, pyrrole) to add surface sensing capabilities. Upon the addition of simulated wound exudate, the swelling capacity of the biopolymer network enabled the detection (i.e., surface impedance) of changes in the local ionic strength. The resultant electrochemical change can be tracked and sent to an external signal source (i.e., an LED or Bluetooth signal), indicating that the surface is saturated with wound exudate.

Dr. Vivek Varma VP Consulting, Integrated Analytic Solutions, Chicago

Tarek Lahdhiri, PhD, PE, PMP, BB-DFSS, SM-IEEE

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

Dr. Gina Martinez Associate Professor of Computer Engineering and the Director of Electrical and Computer Engineering programs at Lewis University

Dr. Gina Martinez is an Associate Professor of Computer Engineering and the Director of Electrical and Computer Engineering programs at Lewis University. She earned a Ph.D. in Electrical Engineering and M.S. in Computer Engineering from Illinois Institute of Technology, and a B.S. in Computer Engineering from University of Illinois at Urbana-Champaign. As an educator, Gina is interested in engineering curriculum design, especially in providing accessible and inclusive engineering education to students of diverse backgrounds and learning styles. Her technical areas of interest include the internet of things (IoT), computer architecture and embedded systems. Dr. Martinez's current research involves the application of IoT and pervasive computing in engineering educational spaces and was recently awarded $206K by the National Science Foundation to develop smart classroom technologies and study their impact in engineering education.

Dr. Alvin Chin is currently the Chair of IEEE Chicago and Principal Data Scientist at RXO in Chicago where he is working with other Data Scientists for creating and deploying data science and machine learning pricing models in production. Previously, he worked for BMW as Innovation Engineer, AI and Emerging Technology Researcher and Senior Machine Learning Researcher. Dr. Chin's research interests and expertise are in data science and machine learning, artificial intelligence, ubiquitous computing and automation. Dr. Chin has authored more than 30 publications and 10 patents, including pending. He received a PhD in Computer Science from the University of Toronto, MASc in Computer Engineering from the University of Waterloo and BASc from the University of Waterloo. He has previously worked for Nokia and Microsoft in Beijing, China. Dr. Chin is active in the community in data science and machine learning meetups, as member of various program committees of academic conferences, and has given more than 50 talks to universities, meetups and conferences.

Dr. RJ Nowling is an assistant professor of Computer Science at the Milwaukee School of Engineering (MSOE). Dr. Nowling earned his Ph.D. in Computer Science & Engineering from the University of Notre Dame with research in numerical simulations for computational chemistry and applications of machine learning and statistical algorithms to genomics. In between his Ph.D. and faculty position, Dr. Nowling was a software engineer at Red Hat with a focus on open-source scalable data-processing infrastructure and data science engineer at AdRoll (now NextRoll) with a focus on building and maintaining ML production systems for digital advertising. Dr. Nowling's research focuses on the application of machine learning and data science to genomics, provided research experiences for 15 undergraduate students, and is heavily collaborative with biologists at Midwestern research universities. Dr. Nowling teaches courses on algorithms, machine learning, and data science.

Dr. Dan Ezenekwe is currently an Associate Director in the New Product Introduction group of Embedded Controls Engineering with Collins Aerospace, a division of Raytheon Technologies. Dan is an experienced engineer with backgrounds in Telecommunications, Aerospace and Defense Technologies. Dan has been primarily engaged in new product development, supporting the design, qualification, testing and manufacturing of fiber optic, Electro-Optic, Missile Warning Sensors and Airborne electronic products. More recently, Dan has been involved in the development of military ISR Sensor products to support the warfighter. He is currently in a lead role at Collins Aerospace building the next generation airborne products to support the warfighter. Dan holds a PhD in Mechanical Engineering (Mechatronics) from Georgia Institute of Technology and is an active member of ASME, IEEE, sits on the board of SAE-Chicago and has several publications.

Dr. Ibrahim M. Abdel-Motaleb is a Professor and Director of Microelectronics Laboratory at Northern Illinois University. Dr. Abdel-Motaleb has extensive administrative experience both in academia and industry. At NIU, he has chaired or served on almost every committee at the department, college and university levels and has previously served as the Chairman of the Department of Electrical Engineering and as Director of the Biomedical Engineering program. Dr. Abdel-Motaleb has held various consulting positions, and has previously served as president of a construction company for civil and electrical construction works with more than 40 employees. As a researcher, Dr. Abdel-Motaleb research interests include modeling, simulation, and manufacturing of semiconductor devices, materials growth and characterization, IC fabrication, and many more, and has extensive publications in this and other areas. Dr. Abdel-Motaleb holds a Ph.D. in Electrical and Electronics Engineering from the University of British Columbia.