Jun Ha has practiced intellectual property law since 2007 for Fortune 500 companies, medium-size companies, and start-ups.  Jun’s practice primarily focuses on patent and trademark law, which includes patent application preparation and prosecution as well as trademark application preparation and prosecution.  Jun routinely handles patent matters in the US and foreign jurisdictions for electrical, software, and mechanical inventions, as well as trademark matters for US and foreign clients.   He also prepares claim charts to map patent claims with industry standards and has experience in conducting patentability investigations, preparing non-infringement opinions, and reviewing patent license agreements.

His technical areas of expertise include:

• Wireless communications (5G, LTE, 3GPP, WiFi, Bluetooth)
• Computer systems
• Mobile devices
• Software
• Haptic devices
• Image/video processing
• Signal processing
• Printers and scanners
• Internet services
• Home appliances
• Medical imaging devices
• Neuromodulation

Prior to his legal career, Jun was an engineering researcher where he improved accuracy in 3D medical ultrasound imaging techniques and developed image processing algorithms to measure blood flow using an ultrasound Doppler. He also examined and compared the accuracy of two commercial medical imaging algorithms and developed a method to detect photomultipliers in a SPECT/PET medical imaging scanner.

While attending law school, Jun was an associate editor for Villanova’s Sports and Entertainment Law Journal.  He was also the recipient of the Deirdre L. Bailey Leadership Scholarship at Villanova University School of Law.  He has his bachelor’s degrees in electrical engineering and biomedical engineering, and his master’s degree in biomedical engineering.

PUBLICATIONS

• “Determination of an Optimal Image Frame Interval For Frame-To-Frame Ultrasound Image Motion Tracking,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Volume: 52, Issue: 3; March 2005
• “Detection of Lesions Using Differential Rates of Speckle Decorrelation,” Ultrasonic Imaging, Volume: 25; 2003
• “Quantitative 3D Diagnostic Ultrasound Imaging Using a Modified Transducer Array and an Automated Image Tracking Algorithm,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Volume: 49, Issue: 8; August 2002