The Daily Orange: 5G could revitalize Syracuse
Amir Esmailpour, assistant professor of electrical & computer engineering and computer science, explains the differences between 3G, 4G, and 5G while speaking of the major change 5G will bring.
Dr. Amir Esmailpour is an assistant professor in the department of Electrical and Computer Engineering and Computer Science (ECECS) at the University of New Haven, where he teaches computer and networking courses, while conducting research on the 4th Generation (4G) of wireless networks such as Long Term Evolution (LTE) and Worldwide Interoperability for Microwave Access (WiMAX).
Before coming to the University of New Haven, Dr. Esmailpour was a postdoctoral fellow at the Department of Electrical and Computer Engineering (ECE) at the University of Toronto, Canada. He received his Ph.D. from the faculty of Engineering and Computer Science at the University of Guelph, Canada, and his Master's and Bachelor's degrees from Ryerson University, Toronto, and University of Ottawa, Ottawa, respectively, both located in Canada. Dr. Esmailpour has several years of experience in research and teaching at universities across Canada and the U.S. Prior to returning to academic work, he also had several years of experience in industry, working for companies such as Nortel Networks and Daimler Chrysler.
Dr. Esmailpour has published several papers in reputable publications such as IEEE journals, magazines, and conferences. He has also reviewed more than 100 papers in the same journals and conferences. He has received several Canadian national, provincial and industrial awards and scholarships during his academic and professional careers, such as a grant from Canada's prestigious NSERC. In addition to his university education, he also holds several industrial certifications such as Microsoft Corporation, Cisco Systems, and Nortel Networks certifications.
Dr. Esmailpour's research interests include various areas of networking and wireless communication, such as next generation of wireless networks, LTE, WiMAX radio resource management, quality of service, and routing. He also has strong industrial affiliations with companies such as Ericsson, Cisco, and RIM.
My research interests are twofold: Networking/Wireless and Cloud Computing/Big Data. On the networking side, my focus is in different areas of wired and wireless networking, with special interest in Routing, Radio Resource Management (RRM), Quality of Service (QoS) Provisioning, Security, and Performance Evaluation of communication networks, protocols and algorithms. My students and I have special interest in wireless networks such as Wireless LAN (the IEEE 802.11ac/ad standard), WiMAX (the IEEE 802.16m standard), the 3GPP Long Term Evolution advanced (LTE-a), and we are working towards fifth generation (5G) of wireless mobile networks. Development and implementations are performed on several layers of TCP/IP stack such as Transport, Network, MAC, and cross-layer design. We have recently proposed new methods to integrate wireless networks from different technologies, and transmit the QoS from one network to the next seamlessly over a vertical hand-off. In another project, we have investigated the performance of wireless networks in presence and absence of Software Defined Networking (SDN) and Network Function Virtualization (NFV) solutions, controlled from a central Cloud Radio Access Network (C-RAN).
On the Cloud Computing and Big Data side, I along with my research students in the University of New Haven Could Computing and Big Data Research Group (DiSC) are interested in various applications of cloud computing and big data analytics, more specifically networking related applications. We are engaged in research and development of applications and network infrastructure that could potentially enhance performance of data centers hosting cloud computing and big data applications. We have proposed a new hybrid infrastructure for data center networking that combines electrical and optical connections using optical switches in aggregation layer. We have shown by simulation that such solution enhances data center performance. In another study, using big data analytics, we have proposed a predictive method to forecast energy consumption for states across the US that could significantly reduce energy over-generation and waste of generated power. This solution could potentially enhance power plant operation. Our research contributes to the broader area covered by the research community in future of data science fields. It will also prepare a cohort of researchers and technicians who contribute to cloud computing and big data research, while integrating research and education.
Industrial Research Papers
Dr. Esmailpour teaches the following courses. The first list is his specialization in the past few years and frequently taught. The next two lists are other computer science and mathematics courses of interests.
Specialized and Recently Taught Courses
Other Computer Science Courses