Moore & Van Allen Law Firm, Attorneys
Practice Areas
  • J.D., University of North Carolina at Chapel Hill, 2019
  • M.S., University of Virginia, 2011
  • B.E., Anna University, 2008
  • North Carolina, 2019
100 North Tryon Street
Suite 4700
Charlotte, NC 28202-4003

Anup Shrinivasan Iyer

Associate
Overview
Professional Affiliations

Anup Iyer is an associate with Moore and Van Allen’s Intellectual Property group who focuses on helping clients secure patent and trademark rights.  Anup’s intellectual property expertise includes patent drafting (utility and design), patent prosecution, patent searching, client consultation, freedom to operate opinions, infringement analysis, due diligence analysis, invalidity opinions, and trademark clearance and registration.  Drawing on his electrical engineering background and experience, Anup prepares and prosecutes patent applications in the field of electrical, mechanical, and computer engineering, and works with clients in diverse areas of technology, including:

  • Machine learning and artificial intelligence technologies
  • Wireless communication technologies
  • Blockchain technology
  • Biomedical devices
  • Internet of Things (IOT) technologies
  • Wearable technology
  • E-commerce systems
  • Sensor technologies
  • Security, encryption, and decryption
  • Mobile applications and database management 

Anup received his J.D., from University of North Carolina at Chapel Hill.  While attending school full-time, he worked part-time for Moore and Van Allen’s Intellectual Property group as a Patent Agent, drafting and prosecuting patent applications.  Anup also served on the board of Carolina Intellectual Property Law Associated (CIPLA) during the 2017-2018 academic year, and provided patent prosecution services for under-resourced inventors under the law school’s pro bono program.

Anup received his M.S. in Electrical Engineering from the University of Virginia, where he studied and implemented signal processing algorithms to gait symptoms in patients with normal pressure hydrocephalus and examined the use machine learning techniques for effective diagnosis of the disease.  In addition, as a research assistant, Anup studied fiber nonlinearities in a wavelength division multiplexing channel and analyzed the applicability of machine learning techniques to compensate for the same. 

Publications:

  • Analysis of gait in patients with normal pressure hydrocephalus,” ACM Workshop on Mobile Systems, Applications, and Services for Healthcare, November 01, 2011, Seattle, Washington.

Professional Affiliations

USPTO-Patent Agent