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Title | Mate Boban - |
Description | About Mate Boban - |
Keywords | Mate Boban, Huawei Munich Research Center, wireless communications, vehicular communications, V2X, 5G, resource allocation, channel modeling, machine learning |
WebSite | mateboban.net |
Host IP | 45.84.205.219 |
Location | - |
Site | Rank |
US$1,470
Last updated: 2023-05-20 07:03:30
mateboban.net has Semrush global rank of 0. mateboban.net has an estimated worth of US$ 1,470, based on its estimated Ads revenue. mateboban.net receives approximately 169 unique visitors each day. Its web server is located in -, with IP address 45.84.205.219. According to SiteAdvisor, mateboban.net is safe to visit. |
Purchase/Sale Value | US$1,470 |
Daily Ads Revenue | US$1 |
Monthly Ads Revenue | US$40 |
Yearly Ads Revenue | US$488 |
Daily Unique Visitors | 11 |
Note: All traffic and earnings values are estimates. |
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mateboban.net. | A | 14400 | IP: 45.84.205.219 |
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mateboban.net. | NS | 86400 | NS Record: ns1.dns-parking.com. |
mateboban.net. | NS | 86400 | NS Record: ns2.dns-parking.com. |
mateboban.net. | MX | 14400 | MX Record: 5 mx1.hostinger.hr. |
mateboban.net. | MX | 14400 | MX Record: 10 mx2.hostinger.hr. |
mateboban.net. | TXT | 14400 | TXT Record: v=spf1 include:_spf.mail.hostinger.com ~all |
--> Mate Boban News About --> Research Publications Press --> Misc --> Mate Boban - Home --> Principal Research Engineer Huawei Munich Research Center Email: firstName.lastName (at) live.com Bio , CV , LinkedIn , Google Scholar Research interests Wireless communications Vehicular communications (V2X) Resource allocation Channel modeling Reinforcement learning About me I am a principal research engineer at Huawei Munich Research Center. I received my Ph.D. degree in electrical and computer engineering from Carnegie Mellon University in 2012. My current research interests are in resource allocation and channel modeling for wireless communication systems, in particular vehicular (V2X) and, as of recently, Industrial IoT (IIoT). Specifically, I am looking into how machine learning techniques can be used instead of (or alongside) heuristics to efficiently assign resources and predict wireless channels. Irrespective of the topic, my approach to research is applied in nature: |
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