|Present||Professor, Nova Southeastern University ‐ College of Engineering and Computing|
Professional Service and Affiliations
|2017 - Present||Member, CEC Faculty Review Committee, Nova Southeastern University||2016 - Present||Member, CEC Faculty Advisory Council, Nova Southeastern University||2016 - Present||Member, CEC Nomination Committee, Nova Southeastern University||Present||Member, Association for Computing Machinery (ACM), Nova Southeastern University||Present||Member, Institute of Electrical and Electronics Engineers (IEEE), Nova Southeastern University||2012 - 2012||Internal Review Committee Member for Information Security MS Program, Nova Southeastern University||2011 - 2012||Chair, CS/CIS Curriculum Committee, Nova Southeastern University||2010 - 2010||Member, GSCIS Academic Integrity Panel, Nova Southeastern University||2009 - 2010||Advisor for NSU Chinese Student and Scholar Association (CSSA), Nova Southeastern University||2008 - 2008||Internal Review Committee Member for Information Security MS Program, Nova Southeastern University||Member, Blackboard Implementation Committee, Nova Southeastern University||Faculty representative, GSCIS, Nova Southeastern University||Admission Committee Member for CISD, DCIS program in GSCIS, Nova Southeastern University||Curriculum Committee Member for CS/CIS program in GSCIS, Nova Southeastern University|
|2004 - 2007||Ph.D., Electrical Engineering, Imperial College London|
|2001 - 2004||M.S., Computer Science, University of Central Florida|
|1998 - 2001||M.S., Computer Science, Peking University, China|
|1992 - 1996||M.E., Mechanical Engineering, Minor in Computer Science, China Jiliang University|
(800) 986-2247 Ext. 22088
Improving User Authentication with Fingerprint Biometrics and Biometric Personal Identification Number (BIO-PINTM) as a Multi-Factor Authentication Mechanism WISP 2015 Proceedings (2015)
Previous authentication methods of establishing ones’ identity to a computer system, by using a password or presenting a token are vulnerable to circumvention by misplacement or unauthorized sharing. Biometric authentication methods offer uniqueness and permanent ...
Cognitive and self-selective routing for sensor networks Computational Management Science (2011)
New approaches to Quality-of-Service (QoS) routing in wireless sensor networks which use different forms of learning are the subject of this paper. The Cognitive Packet Network (CPN) algorithm uses smart packets for path discovery, together ...
Genetic Algorithms for Route Discovery IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (2006)
Packet routing in networks requires knowledge about available paths, which can be either acquired dynamically while the traffic is being forwarded, or statically (in advance) based on prior information of a network's topology. This paper ...
CPN and QoS Driven Smart Routing in Wired and Wireless Networks Lecture Notes in Computer Science (2004)
There exists an increasing need for dynamic mechanisms that take into account quality of service provisions in the establishment of routes in communication networks. Recently, we introduced a quality of service (QoS) driven routing algorithm ...
Books and Book Contributions (1)
The Random Neural Network and its Learning Process in Cognitive Packet Networks Proceedings from International Conference on Natural Computation 2013 (2013)
The Random Neural Network (RNN) is a recurrent neural network in which neurons interact with each other by exchanging excitatory and inhibitory spiking signals. The stochastic excitatory and inhibitory interactions in the network make the ...
Cognitive and Self-Healing Routing for Sensor Networks Proceedings of 1st Annual Conference of International Technology Alliance in Network and Information Science (ITA) (2007)
New approaches to Quality-of-Service (QoS) Routing in wireless sensor networks which use different forms of learning are the subject of this paper. The Cognitive Packet Network (CPN) algorithm uses smart packets for path discovery, together ...
Recursive Routing in the Cognitive Packet Network Proceedings from Testbeds and Research Infrastructure for the Development of Networks and Communities, 2007 (2007)
Applications such as streaming multimedia, Voice over IP (VoIP) and video teleconferencing require quality of service (QoS), and developing algorithms that find routes from a source to a destination which meet the users' QoS requirements ...
Random Neural Networks for the Adaptive Control of Packet Networks Artificial Neural Networks - ICANN 2006: 16th International Conference, Athens, Greece, September 10-14, 2006 Proceedings, Part I (2006)
The Random Neural Network (RNN) has been used in a wide variety of applications, including image compression, texture generation, pattern recognition, and so on. Our work focuses on the use of the RNN as a ...
Genetic Algorithms for Autonomic Route Discovery Proceedings from Distributed Intelligent Systems: Collective Intelligence and Its Applications, 2006 (2006)
This paper describes an experimental investigation of adaptive path discovery using genetic algorithms (GA). We start with the quality of service (QoS) driven routing protocol called "cognitive packet network" (CPN) which uses smart packets (SPs) ...
QoS and Routing in the Cognitive Packet Network Proceedings from World of Wireless Mobile and Multimedia Networks, 2005 (2005)
We present experimental results on an autonomic network test-bed, the cognitive packet network (CPN), designed for research in adaptive quality-of-service (QoS) management. CPN is fully compatible at its edges with the Internet Protocol, while internally ...
Autonomous Smart Routing for Network QoS Proceedings from International Conference On Autonomic Computing (2004)
We present an autonomous adaptive quality of service (QoS) driven network system called a "cognitive packet network" (CPN), which adaptively selects paths so as to offer best effort QoS to the end users based on ...