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Anja Feldmann

Researcher at Max Planck Society

Publications -  368
Citations -  18932

Anja Feldmann is an academic researcher from Max Planck Society. The author has contributed to research in topics: The Internet & Antigen. The author has an hindex of 67, co-authored 340 publications receiving 17422 citations. Previous affiliations of Anja Feldmann include Saarland University & AT&T.

Papers
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Journal ArticleDOI

Chimeric Antigen Receptor-Engineered T Cells for Immunotherapy of Acute Myeloid Leukemia

TL;DR: A new method based on a novel CAR-mediated strategy was developed for an efficient in vitro expansion restricted to CAR modified T cells from patients, which efficiently killed AML blasts derived from patients.
Proceedings ArticleDOI

FlowDNS: correlating netflow and DNS streams at scale

TL;DR: In this article , the authors leverage real-time DNS responses gathered by the clients' default DNS resolvers and correlate them with network-layer headers to translate CDN-hosted domains to the actual services they belong to.
Proceedings ArticleDOI

SecuSpot: Toward Cloud-Assisted Secure Multi-Tenant WiFi HotSpot Infrastructures

TL;DR: This paper proposes a Cloud-assisted multi-tenant and secure WiFi HotSpot infrastructure, called SecuSpot, based on a modular access point and features interesting deployment flexibilities that can be exploited, e.g., to move security critical functions to the Cloud, and hence prevent eavesdropping even when deployed across untrusted Access Points.
Proceedings ArticleDOI

Enabling Seamless Internet Mobility

TL;DR: The key ideas are to allow any new connection to use the current IP address and to take advantage of the heavy-tailed nature of connections, which implies that after a network change only a small number of connections need to be retained.
Patent

Method and system for controlling data communication within a network

TL;DR: In this article, a method for controlling data communication within a network with multiple interconnected network elements is proposed, which includes: generating a representation of the network; detecting changes in the network and updating the representation of network; receiving a request from a client network element, wherein the request comprises information which identifies a source network element and at least two destination network elements; determining for each identified destination network element a ranking value for the communication path between the source node and the respective identified destination node elements based on the represented network elements, and transmitting the ordered list to the client node element from the