EDBT 2026 Demo / reviewers in the wild / expert
Neelesh Bansod
dblp:95/2950
· DBLP profile ↗
3ranked-venue papers
2as first author
1since 2021 · last 2025
0009-0009-0332-3052ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 2 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Datacenter networks · 67% Transport protocols and congestion control · 33% | |
| Network and information security
1 paper |
Network security · 75% Privacy and data protection · 25% |
Topics — the 7 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Transport protocols and congestion control
delay-based congestion control |
0.9 | 1 | 2025 | Falcon: A Reliable, Low Latency Hardware Transport · SIGCOMM 2025 |
Datacenter networks › load balancing
multipath load balancing |
0.9 | 1 | 2025 | Falcon: A Reliable, Low Latency Hardware Transport · SIGCOMM 2025 |
Privacy and data protection
anonymity |
0.1 | 1 | 2005 | MuON: Epidemic Based Mutual Anonymity · ICNP 2005 |
Network security
anonymity networks |
0.1 | 1 | 2005 | MuON: Epidemic Based Mutual Anonymity · ICNP 2005 |
Network security › anonymity networks › anonymous communication
mutual anonymity |
0.1 | 1 | 2005 | MuON: Epidemic Based Mutual Anonymity · ICNP 2005 |
Network security › anonymity networks
peer-to-peer anonymity |
0.1 | 1 | 2005 | MuON: Epidemic Based Mutual Anonymity · ICNP 2005 |
Distributed systems
peer-to-peer systems |
0.0 | 1 | 2005 | MuON: Epidemic Based Mutual Anonymity · ICNP 2005 |
Methods — techniques the papers use, named apart from their topics
programmable engine · 0.9hardware retransmission · 0.9simulation · 0.1epidemic data dissemination · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Falcon: A Reliable, Low Latency Hardware TransportabstractHardware transports such as RoCE deliver high performance with minimal host CPU, but are best suited to special-purpose deployments that limit their use, e.g., backend networks or Ethernet with Priority Flow Control (PFC). We introduce Falcon, the first hardware transport that supports multiple Upper Layer Protocols (ULPs) and heterogeneous application workloads in general-purpose Ethernet datacenter environments (with losses and without special switch support). Key design elements include: delay-based congestion control with multipath load balancing; a layered design with a simple request-response transaction interface for multi-ULP support; hardware-based retransmissions and error-handling for scalability; and a programmable engine for flexibility. The first Falcon hardware implementation delivers a peak performance of 200 Gbps, 120 Mops/sec, with near-optimal operation completion times that are up to 8× lower than CX-7 RoCE under network congestion, and up to 65% higher goodput under lossy conditions. Arjun Singhvi, Nandita Dukkipati, Prashant Chandra, Hassan M. G. Wassel, Naveen Kr. Sharma, Anthony Rebello, Henry Schuh, Praveen Kumar 0003, Behnam Montazeri, Neelesh Bansod, Sarin Thomas, Inho Cho, Hyojeong Lee Seibert, Baijun Wu, Rui Yang 0034, Qianwen Yin, Srinivas Vaduvatha, Weihuang Wang, Masoud Moshref, David Wetherall, Amin Vahdat |
SIGCOMM | 10 |
| 2008 | MuON: Epidemic based mutual anonymity in unstructured P2P networks
Neelesh Bansod, Ashish Malgi, Byung Kyu Choi, Jean Mayo |
Comput. Networks | 1 |
| 2005 | MuON: Epidemic Based Mutual AnonymityabstractA mutually anonymous service hides the identity of a client from the service provider and vice-versa. Providing mutual anonymity usually requires a large number of participants. While peer-to-peer (P2P) networks are capable of recruiting a large number of participants, reliable anonymous communication in these architectures, with low bandwidth usage, still needs further investigation. This paper presents MuON, a protocol to achieve mutual anonymity in unstructured P2P networks. MuON leverages epidemic-style data dissemination to deal with the high churn (changes in system membership) characteristic of unstructured P2P networks. The results from our security analysis and simulation show that MuON provides mutual anonymity over unstructured P2P networks while maintaining predictable latencies, high reliability, and low communication overhead Neelesh Bansod, Ashish Malgi, Byung Kyu Choi, Jean Mayo |
ICNP | 1 |