What’s New

UNL research team works to ease internet congestion - KLKN-TV

Our research in collaboration with Dr. Batur and Dr. Ryan on dynamic pricing has been featured on KLKN-TV.

UNL research team works to ease internet congestion - KLKN-TV: https://www.klkntv.com/story/41493065/unl-research-team-works-to-ease-in...
Our dynamic pricing project on the UNL Annual Research Report

Our dynamic pricing project, in collaboration with Prof. Batur, is featured on the UNL Annual Research Report.More details can be found in this article from UNL Research.
Dr. Vuran will be serving as the TPC Chair of IEEE INFOCOM 2020.

Dr. Vuran will be serving as the TPC Chair of IEEE INFOCOM 2020.
Dr. Vuran will be serving as an Area TPC Chair in IEEE INFOCOM 2019

Dr. Vuran will be serving as an Area TPC Chair in IEEE INFOCOM 2019.
Local newspaper reports the announcement that Lincoln has been designated as a Smart Gigabit Community.

Lincoln Journal Star reported the launch of Smart Gigabit Community in Lincoln.

Link: Lincoln now a Smart Gigabit Community
Dr. Vuran will serve as the technical lead for Lincoln Smart Gigabit Communities project

Dr. Vuran will serve as the technical lead for Lincoln Smart Gigabit Communities project.

More details can be found in the article from research at UNL.
US Ignite, Inc. Announces Lincoln, Nebraska will Join Rapidly Growing Network of Smart Gigabit Communities

Today, US Ignite, Inc. announced that Lincoln, Nebraska is one of the newest participants in the US Ignite Smart Gigabit Communities (SGC) program. US Ignite is a nonprofit funded by NSF that spurs the creation of next-generation applications and services that leverage advanced networking technologies to build the foundation for smart communities. The technical development is led by Profs. Mehmet Can Vuran and Byrav Ramamurthy, and our Holland Computing Center at UNL.

For more information
Cyber Barrier Project highlighted by 2017 UNL research annual report

Dr. Vuran and our Cyber Barrier project is highlighted by UNL research annual report of 2017.

Dr. Vuran is also mentioned in the preface of the research annual report for his excellence in the field of computer science: "Our faculty are published in top journals, cited by their peers and recognized with prestigious awards. In 2016, computer scientist Mehmet Can Vuran was named to Clarivate Analytics’ Highly Cited Researchers list for a third consecutive year, an honor for authors who rank among the top 1 percent of most-cited works in their field. "

 

 
Dr. Vuran Named to 2016 Highly Cited Researchers List

Dr. Vuran has been named to the 2016 Highly Cited Researchers list.

The Highly Cited Researchers List by Thomson Reuters represents about 3,000 researchers who have been identified as some of the most valuable and significant contributors in 21 fields of science. These researchers’ reports have been officially designated by Essential Science Indicators as Highly Cited Papers that rank among the top 1 percent of most cited works in their subject area and year of publication.

This is the third time Vuran has received this distinction, as he was also named to the 2015 and 2014 lists. His research focuses primarily on wireless networks.

The full 2016 Highly Cited Researchers list can be viewed at http://hcr.stateofinnovation.thomsonreuters.com.

More details at: http://cse.unl.edu/vuran-named-2016-highly-cited-researchers-list
Dr. Vuran was a panelist at ICCCN 2016

Dr. Vuran was a panelist in the Research Challenges in Big Data and Cloud Computing panel at ICCCN 2016, Hawaii, HI.

Here is the title and abstract of the panel talk.

Cloud for Crops: A View From the Field

The projected increases in World population and the need for food have recently motivated novel information technology solutions to be deployed in crop fields within precision agriculture approaches. This will provide novel application areas and challenges for agricultural big data and cloud computing solutions. In this talk, developments in crop field sensing, data delivery from crop fields to the cloud, agricultural information fusion, and agricultural automation are discussed. This new paradigm facilitates seamless integration of underground sensors, machinery, and irrigation systems with the complex social networks of growers, agronomists, crop consultants, and advisors. Recent advances in the theory and applications of distributed in-field sensing are discussed. Major challenges related to agricultural big data applications are also highlighted.