Advisory Board

The Innovations-IP team has played an integral collaborative role with principal scientist, Dr. Tal Lavian, for over a decade.

Professor Doan B. Hoang, Ph.D.

Professor Doan B. Hoang is a Professor of Computer Networks in the School of Computing and Communications, Faculty of Engineering and Information Technology, at the University of Technology, Sydney (UTS). He has also held various Visiting Professorships at: the University of California, Berkeley, USA; Nortel Networks Technology Centre, Santa Clara, USA; the University of Waterloo, Canada; and Nanyang Technological University, Singapore.

Currently, Professor Hoang is the Director of iNEXT - UTS Centre for Innovation in IT Services and Applications. He is also the Director of the Advanced Research in Networking (ARN) Laboratory.

Professor Hoang graduated from the University of Newcastle with a Ph.D in Computer Engineering, as well as a B.E with First Class Honours in Electrical and Electronic Engineering from the University of Western Australia. He taught Telecommunications at the Department of Communication Engineering, La Trobe University; Computer Programming, Computer Networks, and Software Engineering Projects at Basser Department of Computer Science, University of Sydney; and Introduction to Communication Networks (E122, 2000) at EECS, University of California, Berkeley. At the University of Technology, Sydney, he developed the Mobile Computing and Internetworking and Application majors.

Professor Hoang was involved in several DARPA-sponsored projects including Openet, Active Networks, and DWDM-RAM (A Data-Intensive Service-on-Demand Enabled by Next Generation Dynamic Optical Networks). His research has been sponsored through many competitive research grants, including Australian Research Council (ARC) Discovery Grants, Telecom Australia Grants, and Industry Linkages Grants.

Professor Hoang's industrial experience includes: Senior Architect, Nortel Networks; Voice & Data Communications Manager in Research and Development Department, Telecommunications, Fujitsu Australia Limited; and Radio-Communications Engineer, Telecom Australia.

His research interests include Next Generation Networks (Security, Quality of Service, Mobility, Service-Oriented Architecture, Peer-to-Peer), Broadband Service Architecture, Collaborative Grid Computing, Wireless Sensor Networks, and e-Health. He is currently leading research on establishing an innovation culture, reducing healthcare system costs through advanced information and communication technologies, and generating wealth through the innovative use of Broadband Internet.

http://www.research.uts.edu.au/strengths/inext/overview.html
http://www.inext.uts.edu.au

Phil Wang, Ph.D.

Dr. Phil Wang is an experienced scientific researcher, technological innovator, system architect, and software professional in computer and network disciplines, including Operating Systems, high-performance computing, Cloud/Grids, Virtual Machines, visualization, agile transport, secure communication, Web Services, databases, and related standards and protocols.

Dr. Wang received his Ph.D. of Engineering from Tsinghua University, Beijing, China, in 1990. Later, he was conferred the title of Full-Professor-Level Researcher at the MEI Research Institute of Computer Systems. He then became Chief Engineer of Beijing Huasun Computer Co., Ltd. From 1998 to 2000, he was a visiting research scientist at the Distributed Computing and Communications Lab, Computer Science Department, at Columbia University, New York. There, he conducted key DARPA, NSF, and other national research programs in distributed computing, network communication, QoS and resource control, and Active Networks.

From 2000 to 2009, as a Principal Network Architect, Dr. Wang joined the Bay Networks Architecture Lab and then the Advanced Technology Research Group, both at Nortel Networks. During his tenure, he investigated a number of leading technical research advances, architectural designs, and software developments. He contributed to the fields of enterprise and carrier network technologies, system products, and service solutions: as they applied across optical (DWDM/SONET/RPR), wireline (Ethernet/VLAN/IP/VPN), and wireless (2/3/4G) networks, as well as various computer platforms (Linux/Windows/VMs) and data storage systems. His accomplishments span the disciplines of network service platforms, network flow manipulation, Grid Computing/Cloud Virtualization, dynamic and on-demand services for computer/network/storage resources, QoS and L1~L4 network management, content and context-aware communication intelligence, smart phone applications, secure transport, real-time messaging, bandwidth efficiency and network compression, and Web services (SOA). Many of his technological showcases have been demonstrated in top-level conferences and exhibitions, such as SuperComputing, SuperComm, ITU Telecom, DARPA DANCE, Terena, iGrid, GlobusWorld, and HIMISS.

Dr. Wang received 5 national awards from MEI and 9 invention awards from Nortel. His publications include over 40 journal and conference papers, 5 books, 11 patent filings, and many presentations. He is very skilled at large-scale software development using C/C++, Java, Fortran, Python, Perl, ActionScript, JavaScript, SQL, XML, UML, DOS/Windows batch, and Linux/Unix scripting languages.

 

Nissim Ozer, Ph.D.

Dr. Nissim Ozer has a proven track record of leading technology companies to innovative and award-winning products. He offers comprehensive technological knowledge along with an excellent ability to manage and drive technology. Into all his endeavors, he incorporates market vision, creative innovation, business strategy, and hands-on marketing expertise. He possesses over 20 years of diverse and advanced engineering experience, including technical sales and support, in the computer industry.

At present, Dr. Ozer leads a Telematics/Data Analytic venture. Previously, Dr. Ozer served as EVP and CTO of Eggs Overnight. This startup provides a comprehensive loss-prevention solution for express shipping of high-value, prone-to-damage products. The loss-prevention system utilizes reusable containers and cutting edge technology to track shipments in real-time. Dr. Ozer set the product vision, strategy, and road map; built the Product Development, Sales Support, and IT organizations; architected the system’s software and hardware; and quickly implemented an efficient customer deployment.

From 2000 to 2007, Dr. Ozer served as CTO and EVP at RF Code, an RFID solutions business. There, he was instrumental to raising Tier 1 venture capital financing and delivering premier RFID hardware and software products to market. He was responsible for managing all aspects of product strategy, IP, development, execution, pre-sales support, QA, and IT operations.  Dr. Ozer also developed the company's cutting-edge algorithms for real-time RF signal mapping.

Dr. Ozer serves on various advisory boards. Previously, he served as the chair of the 5-M Software/Middleware Work Group within the AIM Global RFID Experts Group, the largest RFID industry organization. Dr. Ozer's achievements were recognized by Supply Demand Chain magazine, a leading Auto-ID periodical, which selected him as the “Pro to Know” for three years in a row (2005, 2006, and 2007).

Dr. Ozer received his doctorate degree from the School of Engineering at Purdue University.  As a post-doctorate at Purdue, he developed, investigated, and programmed methods to enhance the training of computerized classifiers (such as neural networks, fuzzy logic, and parametric classifiers) controlled by an expert system, for better interpretation of machine vision and sensing of aromatic volatiles. During his tenure as a research assistant, Dr. Ozer supervised and directed R&D experiments under stringent schedules. He also managed the personnel and budget of a binational project, between the U.S. and Israel, to develop a real time multi-sensor system. Additionally, he detailed a quality-sorting-system concept, identifying and integrating the necessary hardware and software components. His research was accepted and broadly acknowledged in international conferences.

Before his doctoral work, Dr. Ozer served as an Analysis and Design Engineer in El-Op, Inc., where he applied analytical and numerical (finite element and finite differences) methods to evaluate IR  (infra-red) cameras, detectors, and electronic  equipment. He also advised mechanical and electronic engineers in proper equipment design, to meet products' required performance criteria.

Dr. Ozer's Areas of Expertise

  • Artificial Intelligence
  • Machine Learning
  • Pattern Recognition
  • Sensor Fusion
  • Algorithms Development
  • Data Mining
  • Data Analytics
  • Database Design
  • System Architecture
  • Telamatics
  • RFID
  • GPS