Sudip Misra

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Unclaimed · AI-structured profileORCID OpenAlex

Last-author contributor across semantic UAV communication and multimodal federated learning for medical imaging

papers here

reviewed by Evolve

first-author

corresponding

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works · OpenAlex

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h-index · OpenAlex

Bibliometric figures come from OpenAlex (2026-10-16) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.

Research profile

Output—

Insufficient data: no publication-volume metric is available in this snapshot beyond the two Evolve-reviewed 2026 preprints. This axis would measure total output — paper counts over time across venues — and it is left unscored rather than estimated.

Impact—

Insufficient data: no citation counts, h-index or download statistics are provided, so influence cannot be scored. This axis would measure the citation-based reach of the work across the literature; it stays unscored pending citation data.

Focus0/100

Scores 0/100 because the field distribution is perfectly split — 50% semantic communication and UAV networking, 50% machine learning (federated learning for medical imaging) — with no dominant field. The two 2026 papers sit in separate camps: AeroLat on UAV swarm communication, OmniMed-FL on clinical federated learning. This dual-track pattern suggests breadth across wireless communication and distributed machine learning rather than concentration in one line of work.

Collaboration32/100

Scores 32/100 from four distinct co-authors in the snapshot. Rajdeep Ghosh, Goparaju Venkata Seshachala Sree Vatsava, Ayush Debnath and Ruelia Saha recur across the record, and Misra takes the last author slot on both papers without a corresponding-author flag — a pattern consistent with a supervisory role over a small, stable team rather than large-scale cross-institution collaboration.

Activity—

Insufficient data: the snapshot contains no publication-frequency or yearly-volume measure — only two 2026 papers — so research tempo cannot be scored. This axis would measure output cadence over recent years; it remains unscored until a longer publication window is available.

Reproducibility55/100

Scores 55/100 as the mean across two scored papers, both rated medium reproducibility readiness. Evolve's review of AeroLat credits strong simulations but flags flight tests with only n=2–5 units per configuration, while OmniMed-FL runs just two seeds with a contradictory conclusion. Controlled designs and honest limitations help; thin sample sizes hold the score at mid-range.

Research summary

This profile is name-resolved from public bibliographic data linked to ORCID 0000-0002-2467-6414; no institution or country is recorded in the current snapshot. Sudip Misra appears in the Evolve catalog as the last-listed author of two 2026 arXiv preprints spanning two distinct fields: AeroLat, on channel-aware latent-space semantic communication for decentralized UAV swarms, and OmniMed-FL, a multimodal federated learning framework applied to chest radiographs and synthetic clinical notes. The field distribution is evenly split, 50/50, between semantic communication and UAV networking and federated learning for medical imaging, which yields a focus score of 0/100 — activity spread across two camps rather than concentrated. Collaboration scores 32/100 on four distinct co-authors, with Rajdeep Ghosh, Goparaju Venkata Seshachala Sree Vatsava, Ayush Debnath and Ruelia Saha recurring. Reproducibility scores a mean of 55/100 across the two scored papers, both rated medium readiness: Evolve's review of AeroLat flags strong simulations but small flight tests (n=2–5 per configuration), while OmniMed-FL is praised for unusually honest limitations yet weakened by two-seed runs and a contradictory conclusion. Output, impact and activity axes remain unscored for lack of sufficient data.

Collaboration pattern

Collaboration scores 32/100 on four distinct co-authors. Rajdeep Ghosh, Goparaju Venkata Seshachala Sree Vatsava, Ayush Debnath and Ruelia Saha are the recurring names, and Misra sits in the last author position on both 2026 papers without a corresponding-author flag — a small, stable team pattern consistent with a senior supervisory role rather than large cross-institution networks. No institution or country data is available to confirm affiliations.

Research keywords

semantic communicationlatent-space communicationUAV swarmsLLM multi-agent systemsrepresentational collapsetemplate whiteningmultimodal federated learningchest radiographssynthetic clinical notesnon-IID label skewFedAvgFedProx

Highlights

AeroLat: training-free whitening counters latent collapse in UAV swarms
The 2026 preprint proposes channel-aware latent-space semantic communication for decentralized UAV swarms, using template whitening to fix LLM representational collapse. Evolve's verdict: strong simulations, but the 'provably' framing overclaims and flight tests use only n=2–5 units per configuration.
OmniMed-FL: multimodal federated learning with unusually honest limits
The framework fuses chest radiographs with synthetic clinical notes under non-IID label skew, benchmarking FedAvg and FedProx. Evolve calls it a controlled proxy-corpus study that is unusually honest about its limits, but two seeds and a contradictory conclusion weaken the clinical-diagnosis claim.
A dual-track 2026 record spanning communication systems and medical ML
Both 2026 catalog entries list Misra as last author — one on latent-space semantic communication for UAV swarms, the other on federated learning for clinical imaging — matching the snapshot's even 50/50 field split and its focus score of 0/100.

Timeline

2026Posts AeroLat on arXiv as last author: channel-aware latent-space semantic communication for decentralized UAV swarms.
2026Posts OmniMed-FL on arXiv as last author: a multimodal federated learning framework combining chest radiographs and synthetic clinical notes for clinical diagnosis.
2026Both papers enter the Evolve catalog with medium reproducibility readiness; their 55/100 reproducibility mean anchors that dimension of this profile.

Papers in the Evolve catalog

Frequent co-authors

Rajdeep Ghosh×1 Goparaju Venkata Seshachala Sree Vatsava×1 Ayush Debnath×1 Ruelia Saha×1

About this profile

This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.

Dimension scores are derived from public bibliometric data only; no citation counts, h-index or venue history were provided in this snapshot.
Output, impact and activity axes are unscored (dimMissing) because the underlying bibliometric data is insufficient.
The profile is name-resolved from public bibliographic data via ORCID 0000-0002-2467-6414; institution and country are not recorded, and collisions with other researchers of the same name are possible.
Coverage is limited to the two 2026 arXiv papers reviewed by Evolve; earlier publications, if any, fall outside this snapshot.