AtlasBar-Ilan Research Atlas

wireless communications and information theory

Benjamin M. Zaidel

בני זיידל

Identity: verified

Bar-Ilan's CRIS record and engineering page identify Benjamin M. Zaidel; the roster's בני is a familiar-form mapping to the faculty record בנימין and is therefore recorded explicitly. [102]

Documented foundation

Research & experience

Bar-Ilan engineering faculty member whose official profile describes information-theoretic analysis of multiuser detection, MIMO channels and cooperative wireless networks using random-matrix and statistical-physics tools.[102]

multiuser detectionMIMO channelscooperative wireless processingrandom-matrix methods

CV and official profile

The institutional CRIS page provides education and employment history but no standalone CV link was verified.[102]

Selected work

Representative records, not a complete publication list. Metadata confirms attribution; it does not independently replicate a result.

2023 · paper

Sparse NOMA: An Achievable Region via Random Coordinate Transformations

The institutional record lists Zaidel as co-author of an IEEE Information Theory Workshop paper on an achievable region for sparse non-orthogonal multiple access.[102]

Patent evidence

0 catalogued patent records

Coverage: No attributable record found in this search

Benjamin M./Benjamin/Benny name variants and the institutional career profile were examined. No attributable numbered patent was located. Results about Lynette or Simon Zaidel were not attributed. Government laboratory, NTNU and Technion history do not make the institutional output list exhaustive.

No publication records verified in this search; this does not establish absence of patents.

Original report snapshot

Original evidence: not verified

No attributable patent record was verified in the bounded search; this does not establish nonexistence.

Records are counted separately from identified families. Author-reported entries are labelled and may still need publication verification. Inventorship, publication-time applicant and current ownership are different facts. No legal-status, patentability or freedom-to-operate conclusion is made.

Scores prioritize research fit from 1–10; they are not probabilities.

Review: Reviewed with limitations

Proposed capability matches, not confirmed relationships. Scores are analyst judgments with low forecast confidence; researcher interests, capacity and feasibility need confirmation.

Internal connections

10 candidates

Connection 1

Amir Leshem

Research fit

Original proposal

Proposal hypothesis: Zaidel's multiuser/MIMO analysis can bound the interference regime in which Leshem's distributed resource-allocation method should be evaluated.[102][111][112]

First test and score details

First test

Proposed first test: Simulate a fixed multiuser uplink and compare distributed allocation with static allocation and a capacity-informed reference under congestion.

Score components

complementarity
3
feasible first test
3
topic overlap
4

Why this rank

Rank 1/10; fit 10/10 (4 topic overlap + 3 complementarity + 3 feasible first test). Preserved original co-membership proposal in o09. No strictly higher-scoring candidate displaces this original. Feasible analytical/simulation comparison; attack resilience requires a separately specified adversary. No automatic score boost for original membership. Equal scores use existing-first, then stable researcher ID.

Conditions

Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.

Connection 2

Amir Weiss

Research fit

Original proposal

Proposal hypothesis: Zaidel can characterize a constrained multiuser link while Amir Weiss chooses compressed sensing messages according to estimation loss.[102][108][109]

First test and score details

First test

Proposed first test: Compare raw and task-compressed transmissions over the same simulated uplink on localization error, total bits and outage sensitivity.

Score components

complementarity
3
feasible first test
3
topic overlap
3

Why this rank

Rank 2/10; fit 9/10 (3 topic overlap + 3 complementarity + 3 feasible first test). Preserved original co-membership proposal in o09. Higher-scoring Amir Leshem (10/10) precedes this original; its own rank reflects the following limitation: The compressed estimator needs a specified sensing target; capacity alone is not sensing quality. No automatic score boost for original membership. Equal scores use existing-first, then stable researcher ID.

Conditions

Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.

Connection 3

Yair Noam

Research fit

Original proposal

Proposal hypothesis: Zaidel's multiuser-channel models and Noam's interference and spectrum-management work meet on shared-spectrum limits.[102][130][131]

First test and score details

First test

Proposed first test: Compare cooperative and uncoordinated access in a small MIMO interference model; report rate loss and estimation sensitivity.

Score components

complementarity
2
feasible first test
3
topic overlap
4

Why this rank

Rank 3/10; fit 9/10 (4 topic overlap + 2 complementarity + 3 feasible first test). Preserved original co-membership proposal in o09. Higher-scoring Amir Leshem (10/10) precedes this original; its own rank reflects the following limitation: The work is directly related but roles overlap substantially; satellite deployment is outside this first test. No automatic score boost for original membership. Equal scores use existing-first, then stable researcher ID.

Conditions

Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.

Show 7 moreShow fewer internal connections

Connection 4

Ephraim Zehavi

Research fit

Proposal hypothesis: Zehavi's coded modulation and Zaidel's multiuser detection share an uplink reliability problem with coding and interference-analysis roles.[19][20][102]

First test and score details

First test

Proposed first test: Compare coded multiuser reception with orthogonal access in one fixed channel model on error rate and achievable throughput.

Score components

complementarity
2
feasible first test
3
topic overlap
4

Why this rank

Rank 4/10; fit 9/10 (4 topic overlap + 2 complementarity + 3 feasible first test). New pairing outside the frozen portfolio co-member graph. Similar communications expertise makes the roles partly overlapping. Equal scores use existing-first, then stable researcher ID.

Conditions

Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.

Connection 5

Ran Gelles

Research fit

Proposal hypothesis: Gelles's interactive coding can be evaluated against Zaidel's multiuser link constraints when many nodes contend for communication.[57][58][102]

First test and score details

First test

Proposed first test: Compare coded interaction and retransmission over a synthetic multiuser channel on completed tasks per unit bandwidth.

Score components

complementarity
3
feasible first test
3
topic overlap
3

Why this rank

Rank 5/10; fit 9/10 (3 topic overlap + 3 complementarity + 3 feasible first test). New pairing outside the frozen portfolio co-member graph. The interactive protocol must fit the channel's access and noise assumptions. Equal scores use existing-first, then stable researcher ID.

Conditions

Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.

Connection 6

Anelia Somekh-Baruch

Research fit

Proposal hypothesis: Somekh-Baruch's reliability and decoding theory and Zaidel's multiuser information theory directly meet on mismatched multiuser reception.[87][102]

First test and score details

First test

Proposed first test: Compare two decoders in a fixed sparse multiuser channel and report achievable rate and error under model mismatch.

Score components

complementarity
2
feasible first test
3
topic overlap
4

Why this rank

Rank 6/10; fit 9/10 (4 topic overlap + 2 complementarity + 3 feasible first test). New pairing outside the frozen portfolio co-member graph. Strong topic overlap but partly redundant theoretical roles reduce complementarity. Equal scores use existing-first, then stable researcher ID.

Conditions

Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.

Connection 7

Shahar Somin

Research fit

Proposal hypothesis: Somin's temporal network analysis could identify bursty coordination that changes Zaidel's multiuser interference assumptions.[64][65][102]

First test and score details

First test

Proposed first test: Generate synchronized and independent user activity with equal mean load; compare throughput prediction with and without temporal features.

Score components

complementarity
3
feasible first test
3
topic overlap
2

Why this rank

Rank 7/10; fit 8/10 (2 topic overlap + 3 complementarity + 3 feasible first test). New pairing outside the frozen portfolio co-member graph. Activity patterns do not reveal identities or intent, and their value must exceed a simple burst model. Equal scores use existing-first, then stable researcher ID.

Conditions

Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.

Connection 8

Moti Medina

Research fit

Proposal hypothesis: Medina's distributed and online algorithms can test how Zaidel's multiuser-network performance changes when nodes fail as well as links degrade.[100][102]

First test and score details

First test

Proposed first test: Compare static and adaptive routing in a small multiuser network with independent node failures; measure completed transfers and rerouting cost.

Score components

complementarity
3
feasible first test
3
topic overlap
2

Why this rank

Rank 8/10; fit 8/10 (2 topic overlap + 3 complementarity + 3 feasible first test). New pairing outside the frozen portfolio co-member graph. Routing and physical-layer models must use a consistent notion of capacity. Equal scores use existing-first, then stable researcher ID.

Conditions

Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.

Connection 9

Adam Teman

Research fit

Proposal hypothesis: Teman's low-power digital memory constraints could expose the implementation cost of Zaidel's multiuser detection choices.[1][102]

First test and score details

First test

Proposed first test: Compare memory traffic and fixed-point error for two small MIMO detectors under identical channel assumptions.

Score components

complementarity
3
feasible first test
2
topic overlap
2

Why this rank

Rank 9/10; fit 7/10 (2 topic overlap + 3 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. Information-theoretic performance does not establish energy-efficient implementation. Equal scores use existing-first, then stable researcher ID.

Conditions

Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.

Connection 10

Alex Fish

Research fit

Proposal hypothesis: Fish's low-power memory and sensor circuits can constrain the precision and duty cycle of Zaidel's cooperative wireless receiver.[89][90][102]

First test and score details

First test

Proposed first test: Sweep receiver precision in a multiuser detector model and compare symbol error, stored state and circuit-energy proxies.

Score components

complementarity
3
feasible first test
2
topic overlap
2

Why this rank

Rank 10/10; fit 7/10 (2 topic overlap + 3 complementarity + 2 feasible first test). New pairing outside the frozen portfolio co-member graph. A receiver architecture and measured circuit assumptions are needed before energy claims. Equal scores use existing-first, then stable researcher ID.

Conditions

Analyst proposal hypothesis, not an established collaboration, commitment, evidence-confidence rating or assessment of researcher quality; confirm participation and access before work.

External connections

10 candidates

Connection 1

Andrea Goldsmith

Stony Brook University

Research fit

Original proposal

Her official profile describes information theory, communication theory and signal processing for wireless and interconnected systems, complementing Zaidel's sparse multiuser communication focus; no existing relationship is implied.[21][102][103][456]

First test and score details

First test

Model a ward-scale uplink with heterogeneous sensor rates and compare sparse NOMA and orthogonal access under energy and latency constraints.

Score components

complementarity
3
feasible first test
3
topic overlap
4

Why this rank

Rank 1/10 after semantic revision; analyst score 10 = max(1, 4+3+3): topic overlap 4/4, complementarity 3/3, feasible first test 3/3. A bounded offline comparison is specified; required datasets and domain assumptions must still be checked. Original remains first under these components; original status breaks equal-score ties only, without a prestige bonus.

Conditions

Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified.

Connection 2

Elza Erkip

New York University

Research fit

Proposed capability match: Benjamin M. Zaidel's multiuser detection, MIMO channels can be paired with Elza Erkip's documented information theory, communication theory for adaptive spectrum sharing for clinical wearables. The specific contribution is wireless channel and reliability analysis; this transfer is an analyst hypothesis.[102][451]

First test and score details

First test

Compare two cooperative or non-cooperative link models with matched rate and power constraints using a ward-scale multiuser uplink simulation with heterogeneous sensor rates and channel assumptions. Compare outage probability, achievable rate and power sensitivity with orthogonal access at the same transmit energy.

Score components

complementarity
3
feasible first test
3
topic overlap
4

Why this rank

Rank 2/10 after semantic revision; analyst score 10 = max(1, 4+3+3): topic overlap 4/4, complementarity 3/3, feasible first test 3/3. A bounded offline comparison is specified; required datasets and domain assumptions must still be checked.

Conditions

Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified.

Connection 3

Robert Calderbank

Duke University

Research fit

Proposed capability match: Benjamin M. Zaidel's multiuser detection, MIMO channels can be paired with Robert Calderbank's documented space-time coding, quantum error correction for adaptive spectrum sharing for clinical wearables. The specific contribution is structured redundancy and error correction; this transfer is an analyst hypothesis.[102][444]

First test and score details

First test

Compare structured coding with a repetition baseline under a fixed corruption/noise model using a ward-scale multiuser uplink simulation with heterogeneous sensor rates and channel assumptions. Compare error rate, decoding cost and redundancy budget with orthogonal access at the same transmit energy.

Score components

complementarity
3
feasible first test
3
topic overlap
3

Why this rank

Rank 3/10 after semantic revision; analyst score 9 = max(1, 3+3+3): topic overlap 3/4, complementarity 3/3, feasible first test 3/3. A bounded offline comparison is specified; required datasets and domain assumptions must still be checked.

Conditions

Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified.

Show 7 moreShow fewer external connections

Connection 4

Muriel Medard

Massachusetts Institute of Technology

Research fit

Proposed capability match: Benjamin M. Zaidel's multiuser detection, MIMO channels can be paired with Muriel Medard's documented network coding, reliable communication for adaptive spectrum sharing for clinical wearables. The specific contribution is coding and decoding under communication errors; this transfer is an analyst hypothesis.[88][102][474]

First test and score details

First test

Compare a coded protocol or decoder with an uncoded/retransmission baseline under burst errors using a ward-scale multiuser uplink simulation with heterogeneous sensor rates and channel assumptions. Compare block-error rate and redundancy per successful computation with orthogonal access at the same transmit energy.

Score components

complementarity
3
feasible first test
3
topic overlap
3

Why this rank

Rank 4/10 after semantic revision; analyst score 9 = max(1, 3+3+3): topic overlap 3/4, complementarity 3/3, feasible first test 3/3. A bounded offline comparison is specified; required datasets and domain assumptions must still be checked.

Conditions

Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified.

Connection 5

Gregory Wornell

Massachusetts Institute of Technology

Research fit

Proposed capability match: Benjamin M. Zaidel's multiuser detection, MIMO channels can be paired with Gregory Wornell's documented signal processing, statistical inference for adaptive spectrum sharing for clinical wearables. The specific contribution is joint statistical inference and information constraints; this transfer is an analyst hypothesis.[102][110][503]

First test and score details

First test

Compare full-data inference with task-specific compressed statistics at fixed communication or storage budget using a ward-scale multiuser uplink simulation with heterogeneous sensor rates and channel assumptions. Compare estimation error, calibration and bits per valid decision with orthogonal access at the same transmit energy.

Score components

complementarity
3
feasible first test
3
topic overlap
3

Why this rank

Rank 5/10 after semantic revision; analyst score 9 = max(1, 3+3+3): topic overlap 3/4, complementarity 3/3, feasible first test 3/3. A bounded offline comparison is specified; required datasets and domain assumptions must still be checked.

Conditions

Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified.

Connection 6

Bernhard Haeupler

ETH Zurich and INSAIT

Research fit

Proposed capability match: Benjamin M. Zaidel's multiuser detection, MIMO channels can be paired with Bernhard Haeupler's documented interactive coding, distributed algorithms for adaptive spectrum sharing for clinical wearables. The specific contribution is noise-resilient distributed protocols; this transfer is an analyst hypothesis.[59][102][459]

First test and score details

First test

Simulate message corruption and dropped participants with a fixed communication budget using a ward-scale multiuser uplink simulation with heterogeneous sensor rates and channel assumptions. Compare correct-completion rate and communication overhead with orthogonal access at the same transmit energy.

Score components

complementarity
3
feasible first test
3
topic overlap
2

Why this rank

Rank 6/10 after semantic revision; analyst score 8 = max(1, 2+3+3): topic overlap 2/4, complementarity 3/3, feasible first test 3/3. A bounded offline comparison is specified; required datasets and domain assumptions must still be checked.

Conditions

Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified.

Connection 7

Michael Mitzenmacher

Harvard University

Research fit

Proposed capability match: Benjamin M. Zaidel's multiuser detection, MIMO channels can be paired with Michael Mitzenmacher's documented algorithms and theory, systems and networks for adaptive spectrum sharing for clinical wearables. The specific contribution is algorithmic and systems baselines; this transfer is an analyst hypothesis.[101][102][478]

First test and score details

First test

Compare two explicit sampling, load-balancing or scheduling algorithms under the same adversarial event trace using a ward-scale multiuser uplink simulation with heterogeneous sensor rates and channel assumptions. Compare tail latency, failure rate and sensitivity to the event distribution with orthogonal access at the same transmit energy.

Score components

complementarity
3
feasible first test
3
topic overlap
2

Why this rank

Rank 7/10 after semantic revision; analyst score 8 = max(1, 2+3+3): topic overlap 2/4, complementarity 3/3, feasible first test 3/3. A bounded offline comparison is specified; required datasets and domain assumptions must still be checked.

Conditions

Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified.

Connection 8

Andrea Montanari

Stanford University

Research fit

Proposed capability match for Benjamin M. Zaidel with Andrea Montanari: High-dimensional estimation directly complements multiuser detection when the channel/symbol target and common error metric are specified.[102][479]

First test and score details

First test

Generate a multiuser MIMO uplink with known channel matrix, pilots and transmitted symbols. Compare regularized linear detection with matched-filter detection using identical channels, powers and user activity; vary antenna/user ratio and pilot count. Measure symbol error and channel-estimation error, with a perfect-channel reference. Orthogonal access is a separate system-level comparison.

Score components

complementarity
3
feasible first test
2
topic overlap
3

Why this rank

Rank 8/10 after semantic revision; analyst score 8 = max(1, 3+3+2): topic overlap 3/4, complementarity 3/3, feasible first test 2/3. High-dimensional estimation directly complements multiuser detection when the channel/symbol target and common error metric are specified. A bounded offline comparison is specified; required datasets and domain assumptions must still be checked.

Conditions

Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. Post-review scope: High-dimensional estimation directly complements multiuser detection when the channel/symbol target and common error metric are specified. This revised proposal awaits independent targeted re-review; simulated outcomes would establish model behavior only, not biological, clinical or deployed benefit.

Connection 9

David Tse

Stanford University

Research fit

Proposed capability match: Benjamin M. Zaidel's multiuser detection, MIMO channels can be paired with David Tse's documented information-theoretic methods, decentralized systems for adaptive spectrum sharing for clinical wearables. The specific contribution is first-principles data and decentralized-system modelling; this transfer is an analyst hypothesis.[102][496]

First test and score details

First test

Compare a decentralized or information-constrained algorithm with a centralized reference on a small reproducible workload using a ward-scale multiuser uplink simulation with heterogeneous sensor rates and channel assumptions. Compare communication cost, correctness and sensitivity to missing participants with orthogonal access at the same transmit energy.

Score components

complementarity
2
feasible first test
3
topic overlap
3

Why this rank

Rank 9/10 after semantic revision; analyst score 8 = max(1, 3+2+3): topic overlap 3/4, complementarity 2/3, feasible first test 3/3. A bounded offline comparison is specified; required datasets and domain assumptions must still be checked.

Conditions

Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified. His refreshed lab page describes wireless as a previous application and current work on decentralized systems; no active wireless project is assumed.

Connection 10

Jan M. Rabaey

University of California, Berkeley

Research fit

Proposed capability match: Benjamin M. Zaidel's multiuser detection, MIMO channels can be paired with Jan M. Rabaey's documented low-power integrated circuits, wireless sensor systems for adaptive spectrum sharing for clinical wearables. The specific contribution is acquisition, computation and radio power budgeting; this transfer is an analyst hypothesis.[4][102][488]

First test and score details

First test

Replay two duty-cycle policies across the acquisition, compute and radio stages using a ward-scale multiuser uplink simulation with heterogeneous sensor rates and channel assumptions. Compare energy per valid result and recovery latency with orthogonal access at the same transmit energy.

Score components

complementarity
3
feasible first test
2
topic overlap
2

Why this rank

Rank 10/10 after semantic revision; analyst score 7 = max(1, 2+3+2): topic overlap 2/4, complementarity 3/3, feasible first test 2/3. The experiment, numerical inputs or identity/scope needs confirmation before execution.

Conditions

Proposed fit, not an assertion of a new or active relationship. Independent review pending; forecast confidence low. Partner interest, capacity, data access and any required experimental approvals/resources are unverified.

Evidence & open questions

Inspect claim ratings and independent review

Benjamin M. Zaidel researches information-theoretic multiuser detection, MIMO and cooperative wireless processing. [102]

Moderate confidenceReview: reviewed

The profile does not provide a standalone current CV.

Review record
  • root: supports. The BIU CRIS biography explicitly lists multiuser detection, MIMO, cooperative processing and random-matrix methods. Publication list confirms the 2023 sparse NOMA item.

Adaptive spectrum sharing for dense clinical wearables is a prospective application hypothesis for Zaidel's communication-theory methods. [102][103]

Low confidenceReview: reviewed

Clinical constraints and empirical channel data have not been assessed.

Review record
  • root: supports. Zaidel’s methods and Goldsmith’s wireless/interconnected-systems interests are documented. Her inspected Princeton page identifies her current Stony Brook presidency and visiting role. The clinical-wearable application remains speculative.
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