tel: 902 585 1192
fax: 902 585 1067
E-mail:
dr.sajid.hussain@gmail.com
Web: http://cs.acadiau.ca/~shussain
Area of Expertise
Wireless sensor networks, security, communication protocols, pervasive and ubiquitous computing, mobile and ad hoc networks, health informatics, smart homes, intelligent environments
Biography
Dr. Sajid Hussain is an Assistant Professor in the Jodrey School of Computer Science, Acadia University, Canada. He received Ph.D. in Electrical Engineering from the University of Manitoba, Canada. Dr. Hussain is investigating secure and energy efficient communication protocols in sensor networks for mobile, ubiquitous, and pervasive applications. He has published more than 70 refereed journal, conference, and workshop papers. The research is financially supported by several grants and contracts, such as NSERC Canada, NRC Canada, Atlantic Innovation Fund (AIF), and NSHRF. Dr. Hussain has co-organized several journal special issues, conferences, and workshops. He has served on many technical program committees and reviewed papers for several journals. Further, he has reviewed grant proposals for NSERC's Discovery, SPG, and RTI grants. He is a member of SPIE, IEEE, ACM, IET, Sigma Xi, and CAIAC societies.
Lecture Title(s)
Key Management in Wireless Sensor Networks
Wireless sensor Networks (WSNs) are commonly used as an enabling technology for unattended pervasive and ubiquitous applications such as military, surveillance, telehealth, and industry automation. Key management in WSNs is challenging because of limitations in computing, storage, and communication resources, as well as finite battery power supply. First, this talk will provide the general introduction to the security issues in WSNs including encryption, authentication, integrity, and confidentiality. Then, I will cover different aspects of key distribution, key management, key revocation, rekeying, and key generation. I will also address the usage and challenges of elliptic curve cryptography in WSNs. Finally, I will provide the examples of a few case studies of WSN applications and emerging research challenges.The talk will be useful for graduate students, undergraduate (senior) students, young researchers, and practitioners.
Information Processing for Energy Efficient Communication in Wireless Sensor Networks
Wireless sensor networks (WSNs) are commonly used for pervasive and ubiquitous applications. For scalability and easy maintenance, it is essential to provide information processing within WSNs, which is also known as in-network processing. In this talk, I will discuss the latest techniques for data aggregation and data management in WSNs, especially continuous query streams. I will also provide the details of using a few intelligent techniques, such as genetic algorithms, in generating energy efficient data aggregation trees and hierarchical clusters. We will discuss the protocols of different objective functions such as: minimizing total energy consumption, delaying the first node death, delaying the last node death, maintaining the given coverage or connectivity requirements. The talk will include the introduction of real WSN hardware and software solutions, including 6LoWPAN (IPv6 for WSNs). The talk will be useful for graduate students, undergraduate (senior) students, young researchers, and practitioners.
