What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
His main research concerns Computer network, Embedded system, Mobile computing, Mobile device and Software deployment.
The Computer network study combines topics in areas such as Internetworking, Overlay network and Publication.
His study in Embedded system is interdisciplinary in nature, drawing from both Composite services, Service mobility, Terminal, Energy and Operating system.
His Mobile computing study combines topics from a wide range of disciplines, such as Network performance, Cellular network, Computer security, Network management and Cloud computing.
His research in Mobile device intersects with topics in Energy consumption and Software.
His work in Mobile search addresses issues such as Distributed computing, which are connected to fields such as Automatic summarization.
His most cited work include:
- Theory and Practice of Bloom Filters for Distributed Systems (334 citations)
- Accelerometer-based transportation mode detection on smartphones (311 citations)
- A gap analysis of Internet-of-Things platforms (246 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Computer network, Distributed computing, Mobile device, Mobile computing and World Wide Web.
His Computer network research includes themes of Wireless, Enhanced Data Rates for GSM Evolution, The Internet and Computer security.
His work deals with themes such as Scalability and Cloud computing, which intersect with Distributed computing.
In Mobile device, Sasu Tarkoma works on issues like Energy consumption, which are connected to Embedded system.
The study incorporates disciplines such as Server, Mobile search and Mobile telephony in addition to Mobile computing.
His Publication research extends to World Wide Web, which is thematically connected.
He most often published in these fields:
- Computer network (30.00%)
- Distributed computing (13.68%)
- Mobile device (13.16%)
What were the highlights of his more recent work (between 2019-2021)?
- Data science (4.21%)
- Enhanced Data Rates for GSM Evolution (5.26%)
- Pollutant (2.11%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Data science, Enhanced Data Rates for GSM Evolution, Pollutant, Real-time computing and Computer network.
As part of the same scientific family, Sasu Tarkoma usually focuses on Data science, concentrating on Data collection and intersecting with Usage data and Network switch.
His research on Enhanced Data Rates for GSM Evolution also deals with topics like
- Taxonomy together with Data processing,
- Set and related Probabilistic logic, Bloom filter, Algorithm and Traverse.
His research integrates issues of Battery, Battery capacity, Augmented reality and Calibration in his study of Real-time computing.
His work in Augmented reality addresses subjects such as Server, which are connected to disciplines such as User experience design.
As part of his studies on Computer network, Sasu Tarkoma often connects relevant subjects like Laptop.
Between 2019 and 2021, his most popular works were:
- 6G White Paper on Edge Intelligence (19 citations)
- IoT-KEEPER: Detecting Malicious IoT Network Activity Using Online Traffic Analysis at the Edge (19 citations)
- A Survey on Edge Intelligence (12 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
Sasu Tarkoma mainly focuses on Pollutant, Enhanced Data Rates for GSM Evolution, Data science, Field and Real-time computing.
His Enhanced Data Rates for GSM Evolution study incorporates themes from Anomaly detection, Cluster analysis and Testbed, Computer network, Network security.
Sasu Tarkoma has researched Data science in several fields, including Edge computing, The Internet, Software development and Smart device.
His studies in Field integrate themes in fields like Intelligent sensor, Set and Taxonomy.
His Real-time computing research incorporates themes from Augmented reality, Calibration, Communication channel and Network packet.
His studies deal with areas such as Wireless sensor network and Open research as well as Calibration.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
