mateboban.net valuation and analysis

Robots.txt Information
Robot Path Permission
GoogleBot /
BingBot /
BaiduSpider /
YandexBot /
Meta Tags
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
Server Information
WebSite mateboban faviconmateboban.net
Host IP 45.84.205.219
Location -
Related Websites
Site Rank
More to Explore
mateboban.net Valuation
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.

Traffic & Worth Estimates
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.
DNS Records
Host Type TTL Data
mateboban.net. A 14400 IP: 45.84.205.219
mateboban.net. AAAA 7199 IPV6: 2a02:4780:9:608:0:2d17:8081:2
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
HtmlToTextCheckTime:2023-05-20 07:03:30
--> 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:
HTTP Headers
HTTP/1.1 200 OK
Connection: Keep-Alive
Keep-Alive: timeout=5, max=100
content-type: text/html
last-modified: Wed, 08 Jun 2022 16:27:58 GMT
etag: "3deb-62a0ce0e-8ca6611ab553e90d;;;"
accept-ranges: bytes
content-length: 15851
date: Fri, 20 Jan 2023 09:22:52 GMT
server: LiteSpeed
platform: hostinger