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# Scott T. Seidenberger, Ph.D.

> Postdoctoral Associate, ILR School, Cornell University. Future of Work Fellow and Cornell AI Experimenters Faculty Fellow. Research on emerging technology and the world of work.

- Email: [email protected]
- Address: ILR School, Cornell University, Ithaca, NY 14853
- Site: scottseidenberger.com
- GitHub: https://github.com/seidenbergerscott
- LinkedIn: https://www.linkedin.com/in/seidenberger
- Google Scholar: https://scholar.google.com/citations?user=jox4VF4AAAAJ
- Updated: September 2026

## Overview

I help people and organizations make sense of deploying emerging tech. How do we coordinate human activity at scale, toward a shared goal, mediated by technology? I have worked versions of this same problem in air combat, in deep tech startups, and in academia with large enterprises.

Every organization I have worked inside was solving one problem in a different vocabulary: how to turn intent and vague goals into clear tasks, workflows, and coordinated work. An air battle, a validator fleet, a company adopting AI is each a set of people and machines that has to act toward a shared goal faster than the conditions around it change. That is the problem I study.

Technology mediates that coordination, and each new layer of it lands in the workplace before anyone has measured what it does to the work. I began with decentralized systems, building and then attacking the infrastructure that secures public blockchains. The current layer is artificial intelligence: how people actually work with generative systems, and what employers signal through them. The next will be robotics and cybernetics, and it will arrive the same way.

Coordination runs on signals, and most of the signals organizations use were never validated for the decision resting on them. Review-platform sentiment stands in for employer reputation. Dataset size stands in for dataset value. My research asks what those signals are worth. The standard I hold it to is evidence that is valid and usable in a real decision, which is a higher bar than a literature review or a vendor deck clears.

I have run the technology, governed it, and studied it, rarely in that order. I commanded airborne missions and advised an Air Force wing on electromagnetic warfare. I co-founded a web3 infrastructure company, secured more than $10m of customer funds on public validators, and exited. I ran technical due diligence for an institutional issuer. Then I went and got a doctorate in it.

## Research areas

### 01. Human-Centered AI and the Future of Work

This research examines how people understand, direct, and rely on artificial intelligence—and how AI systems reshape human judgment, opportunity, creativity, and work. Rather than treating model performance as the sole measure of success, I study the relationship between technical capabilities and the people and organizations expected to use them.

Current work investigates human prompt inference and refinement, personalized evaluation of AI-generated content, differences between human and agentic performance, and the ways language models represent career opportunities. A related organizational stream considers enterprise AI adoption, work redesign, technical talent, and the economic implications of integrating AI into organizational processes. Together, these projects ask how AI can augment human agency without narrowing choices, obscuring limitations, or producing poorly designed divisions of labor.

### 02. Secure and Resilient Protocol Networks

This research investigates the security, privacy, and resilience of large-scale distributed systems. I measure how protocol networks behave under adversarial and failure conditions, identify threats and systemic dependencies, and design mechanisms that help infrastructure resist attacks and recover from disruption.

This category includes my work on Ethereum node measurement, network reconnaissance, anomaly detection, censorship-resistant DNS, validator security, privacy-preserving network overlays, and rapid node recovery. Although decentralized networks provide a principal empirical setting, the broader research agenda concerns the trustworthiness of planet-scale protocol networks. The work progresses from observing network behavior, to modeling threats and failures, to developing and evaluating practical defenses.

### 03. Computational Measurement of Digital Ecosystems

This research uses large-scale digital traces to study platform behavior, information flows, privacy risks, and online populations. I construct longitudinal datasets, connect observations across multiple data sources, and develop empirical methods for revealing behaviors that are otherwise difficult for users, researchers, and policymakers to observe.

Projects in this category examine email-marketing practices and inbox privacy, media movement through peer-to-peer ecosystems, the timing and risks of online content leaks, and the characteristics that make datasets scientifically valuable. This work also produces reusable public datasets that allow other researchers to examine digital ecosystems over time. Whereas my protocol-networks research focuses on the security and resilience of underlying infrastructure, this category focuses on what application-layer activity and digital content reveal about platforms, users, and society.

## Research outputs

### Peer-reviewed papers

- **NinjaDoH: A Censorship-Resistant Moving Target DoH Server Using Hyperscalers and IPNS** (2026)
  - Seidenberger, S., Beret, M., Wijewickrama, R., Jadliwala, M., & Maiti, A.
  - MADWeb at NDSS 2026 · doi 10.14722/madweb.2026.23006
  - Presents NinjaDoH, a moving-target DNS-over-HTTPS architecture that combines hyperscaler deployment with IPNS-based endpoint agility to improve censorship resistance and availability.
- **Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art** (2026)
  - Trinh, K., Seidenberger, S., Spracklen, J., Wijewickrama, R., Viswanath, B., Jadliwala, M., & Maiti, A.
  - EvoMUSART 2026 · doi 10.1007/978-3-032-24350-8_10
  - Evaluates human ability to infer the prompts used to generate AI art. Findings show that prompt inference is difficult and that contextual factors significantly affect performance.
- **What Should I Become? When LLMs Present a Slice of Opportunity as the Whole** (2026)
  - Wise, T., Seidenberger, S., & Maiti, A.
  - 9th AAAI/ACM Conference on AI, Ethics, and Society (AIES-26) · To appear
  - Examines how language models narrow the set of career options they present, and what that narrowing does to the people relying on them for guidance.
- **Front-Running the Red Carpet: A Measurement Study of Media Torrent Leaks and User Risks** (2026)
  - Seidenberger, S., Pursell, N., & Maiti, A.
  - Journal of Quantitative Description: Digital Media · doi 10.51685/jqd.2026.014
  - Measures how streaming fragmentation relates to earlier leaks, larger torrent swarms, and increased risk to the users who join them.
- **A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasks** (2025)
  - Trinh, K., Seidenberger, S., Wijewickrama, R., Jadliwala, M., & Maiti, A.
  - IJCAI 2025 · doi 10.24963/ijcai.2025/1132
  - Evaluates the efficacy of iterative human-driven prompt refinement in AI image regeneration tasks. Findings reveal both the potential and limits of human ability to reverse-engineer prompts from generated images.
- **From Big Data to Valued Data: A Dataset Value Taxonomy for AI-Native Empirical Research** (2025)
  - Seidenberger, S., & Maiti, A.
  - AAAI/ACM Conference on AI, Ethics, and Society · doi 10.1609/aies.v8i3.36715
  - Proposes a taxonomy for evaluating dataset value in AI-native empirical research. Moves beyond volume-centric data paradigms to consider dimensions of quality, representativeness, and ethical sourcing.
- **Initial Evidence of Pervasive Reconnaissance Targeting Ethereum Node Infrastructure** (2025)
  - Seidenberger, S., & Maiti, A.
  - ACM BSCI 2025, co-located with ASIACCS · doi 10.1145/3709016.3737797
  - Documents continuous, automated scanning and fingerprinting of Ethereum nodes, with geographic and temporal structure in the reconnaissance activity.
- **MagnetDB: A Longitudinal Torrent Discovery Dataset with IMDb-Matched Movies and TV Shows** (2025)
  - Seidenberger, S., Pursell, N., & Maiti, A.
  - ICWSM 2025 · doi 10.1609/icwsm.v19i1.35959
  - A fifteen-year torrent-discovery dataset of 4,936,257 magnet links matched to IMDb metadata, with daily snapshots of more than 130,000 unique torrents.
- **EtherBee: A Global Dataset of Ethereum Node Performance Measurements Coupled with Honeypot Interactions and Full Network Sessions** (2025)
  - Seidenberger, S., & Maiti, A.
  - IEEE ICBC 2025 · doi 10.1109/ICBC64466.2025.11114523
  - Couples global node performance measurement with honeypot interactions and full network sessions, so blockchain infrastructure security can be studied reproducibly.
- **Why You've Got Mail: Evaluating Inbox Privacy Implications of Email Marketing Practices in Online Apps and Services** (2025)
  - Seidenberger, S., Ajisegiri, O., Pursell, N., Raja, F., & Maiti, A.
  - ACM CODASPY 2025 · doi 10.1145/3714393.3726516
  - Audits the privacy and data-sharing practices behind email marketing at large companies, and what those third-party flows mean for the people receiving the mail.
- **Analysis of Patterns and Trends in COVID-19 Research** (2021)
  - Dornick, C., Kumar, A., Seidenberger, S., Seidle, E., & Mukherjee, P.
  - Procedia Computer Science 185 · doi 10.1016/j.procs.2021.05.032
  - Applies NLP and bibliometric analysis to the pandemic literature, mapping research clusters, collaboration networks, and how topics moved over time.
- **Can Government Agencies Compete with For-Profit Companies for Software Talent? Examining the Role of Employer Branding and Government Attitudes in Attracting Student Applicants** (2018)
  - Seidenberger, S., & Collins, C. J.
  - Academy of Management Meetings, Chicago · doi 10.5465/AMBPP.2018.13596symposium
  - Tests whether employer branding and attitudes toward government predict which students apply to public-sector technical roles.

### Preprints and manuscripts under review

- **Online Word-of-Mouth in Recruitment: A Glassdoor Field Study** (2026)
  - Seidenberger, S.
  - Manuscript in preparation · In preparation
  - Studies how online word-of-mouth on Glassdoor shapes organizational image and applicant behavior in recruitment contexts.
- **Node Infrastructure First: Measuring Attacks, Modeling Cascades, and Rapid Recovery Tactics** (2026)
  - Seidenberger, S., Trinh, K., & Maiti, A.
  - Under review, Distributed Ledger Technologies: Research and Practice · Under review
  - Measures attacks on node infrastructure, models how failures cascade through the network, and evaluates tactics for rapid recovery.
- **The Refinement Gap: A Mixed-Effects Comparison of Human and Agentic Prompt Refinement in Image Regeneration** (2026)
  - Trinh, K., Seidenberger, S., Wijewickrama, R., Jadliwala, M., & Maiti, A.
  - Under review · Under review
  - Compares human and agentic prompt refinement on the same image-regeneration task, and locates where the two diverge.
- **CLPIPS: A Personalized Metric for AI-Generated Image Similarity** (2026)
  - Trinh, K., Rothenberger, J., Seidenberger, S., Diochnos, D. I., & Maiti, A.
  - Under review · Under review
  - A perceptual similarity metric tuned against human judgments, so similarity scoring is usable as feedback inside iterative generation workflows.
- **One Answer to Rule Them All? Risks to Job Seekers in Relying on LLMs for Employer Insights** (2026)
  - Seidenberger, S.
  - Manuscript in preparation · In preparation
  - Examines how AI-generated employer summaries shape employer image, candidate confidence, and the decision to apply.
- **Stake Your Claim: Zero-Trust Validator Deployment Leveraging NFTs and Smart Contracts in Proof-of-Stake Networks** (2023)
  - Seidenberger, S., Sokol, A., & Maiti, A.
  - arXiv preprint · arXiv 2308.01158
  - Proposes NFT-anchored, trust-minimized validator identity and onboarding for proof-of-stake networks.

### Datasets

- **Why You've Got Mail: Inbox Privacy Measurement Dataset** (2025)
  - Seidenberger, S., Ajisegiri, O., Pursell, N., Raja, F., & Maiti, A.
  - Academic Torrents · 1,100+ downloads
  - The measurement dataset behind the CODASPY study of email marketing and inbox privacy.
- **MagnetDB: Longitudinal Torrent Discovery Dataset** (2025)
  - Seidenberger, S., Pursell, N., & Maiti, A.
  - Academic Torrents · 300+ downloads
  - Public release of the torrent-discovery dataset with IMDb-matched movies and TV shows.
- **EtherBee: Ethereum Node Network Traffic, Telemetry, Honeypot Interactions, and Logs** (2024)
  - Seidenberger, S., & Maiti, A.
  - Open Science Framework · osf.io/c5upf
  - Node telemetry, full network sessions, honeypot interactions, and logs from the EtherBee measurement infrastructure.

### Funded grants

- **CANARY: Change Analysis and Network Anomaly Recognition sYstem** (2024)
  - Co-Principal Investigator · Award $24,000
  - Ethereum Foundation Academic Grant FY24-1546 · FY24-1546
  - Realtime surveillance and changepoint-based anomaly detection for Ethereum P2P security.
- **SEADRAGON: Secure Ethereum Anonymity & Defense Relay via Advanced Global Overlay Networking** (2024)
  - Co-Principal Investigator · Award $17,000
  - Ethereum Foundation Academic Grant FY24-1547 · FY24-1547
  - Purpose-built VPN overlay to obscure node IPs and improve resilience against network-layer attacks.
- **RADS: Rapid Activation via Decentralized Snapshots** (2024)
  - Co-Principal Investigator · Award $4,000
  - Storj Grant · Storj
  - Decentralized storage pipeline for faster Ethereum snapshot delivery and recovery.

### Review articles

- **Why Air Forces Fail: The Anatomy of Defeat** (2018)
  - Seidenberger, S. T.
  - Air & Space Power Journal, 32(1), 125–127 · Book review
  - Book review for Air & Space Power Journal.
- **Sidewinder: Creative Missile Development at China Lake** (2018)
  - Seidenberger, S. T.
  - Air & Space Power Journal, 32(4), 103–105 · Book review
  - Book review for Air & Space Power Journal.
- **A New Role for Human Resource Managers - Social Engineering Defense** (2016)
  - Seidenberger, S.
  - Cornell HR Review · hdl 1813/73018
  - HR managers have a critical but underrecognized role in defending organizations against social engineering. This article argues that HR's people-facing position makes them essential for awareness, training, and policy.

## Teaching

- CS 5833 — Blockchains and Cryptocurrencies · Co-Instructor · Spring 2025
- CS 5970 — Cyber Attacks and Defenses · Teaching Assistant · Spring 2025
- DSA 5303 — Financial Engineering · Teaching Assistant · Summer 2024 & 2025
- USAF — Advanced Signals Intelligence · Course Director / Lead Instructor · 2020–2022
- USAF — Instructor Air Battle Manager · Instructor · 2019–2022

## Industry and government

### Ph.D. Research Fellow, Nethermind, Washington, DC

- Period: Summer 2025
- Setting: Enterprise / protocol
- Led technical due diligence on a Bitcoin restaking platform for a country-level ETF issuer.
- Created novel zero-knowledge proof schemes to reduce bandwidth on Ethereum's P2P layer.

### Co-founder & Managing Director, Epoch Forge, Washington, DC

- Period: 2023 – 2025
- Setting: Startup — exited
- Led a digital infrastructure provider specializing in web3 node operations.
- Secured over $10M of customer funds via public blockchain validators.
- Successfully exited after serving two enterprise customers.

### Defense Analyst, Advanced Strategic Insight, Washington, DC

- Period: 2023
- Setting: Government / defense
- Led research on human-machine teaming and produced a company white paper on autonomous-agent integration with air operations.
- Led analysis for an SBIR Phase II proposal focused on USSF capability enhancement.
- Authored technical briefs for DARPA, USAF Rapid Capabilities Office, and Space Systems Command.

### Wing Chief Electromagnetic Warfare Officer (Captain), 552 Operations Support Squadron, USAF — Tinker AFB, OK

- Period: 2020 – 2023
- Setting: Government / military
- Principal advisor on electromagnetic warfare operations for the E-3 fleet.
- Led cross-functional engineering and signals teams supporting fleet-wide missions.
- Mission commander and airborne C2 lead for Joint Staff J8-hosted NIMBLE FIRE.
- Briefed "Beyond Horizon Range Engagements" to an audience including VCJCS, Commander USINDOPACOM, Commander NORAD, VCNO and DoD CIO.

### Instructor Air Battle Manager / Mission Commander, United States Air Force, E-3 AWACS

- Period: 2016 – 2023
- Setting: Government / military
- Instructor and mission commander with over 800 flight hours, 300+ in combat.
- Active-duty clearance: TS/SCI (2016–2024, inactive).

## Talks and press

- March 2026 — From Meaning to Measurement — AI-native research methods (Workshop)
- Feb 2026 — NinjaDoH at MadWeb '26 (Conference)
- 2025 — Built on Ethereum — web3 workshop, Hacklahoma (300+ students) (Workshop)

## Curriculum vitae

### 01. Education

- **Ph.D., Data Science & Analytics** — May 2026
  - The University of Oklahoma, Norman, OK
  - Dissertation: Toward a General Science of Secure Protocol Networks: Measuring and Improving Privacy, Security, and Resilience in Planet-Scale Decentralized Systems.
  - Advisor: Dr. Anindya Maiti.
  - Gallogly College of Engineering Dissertation Excellence Award.
- **M.P.S., Data Science & Analytics** — 2020
  - The Pennsylvania State University, University Park, PA
  - Topics: NLU/NLP, machine learning.
- **B.S. with Honors, Industrial & Labor Relations** — 2016
  - Cornell University, Ithaca, NY
  - Honors thesis: Can the Government and Military Compete with Private Sector Companies for Technical Talent?
  - Topics: Human Resource Studies, Global Labor, Statistics & Information Science.
  - Ives Senior Award.

### 02. Academic appointments

- **Postdoctoral Associate** — 2026 – Present
  - ILR School, Cornell University
  - Future of Work Fellow.
  - Cornell AI Experimenters Faculty Fellow.
- **Graduate Teaching Assistant** — 2023 – 2025
  - University of Oklahoma
  - School of Computer Science.
  - Data Science and Analytics Institute.
- **Graduate Research Assistant** — 2022 – 2023
  - University of Oklahoma
  - School of Computer Science.

### 03. Peer-reviewed publications

Two journal articles and ten peer-reviewed conference papers, newest first.

- **Front-Running the Red Carpet: A Measurement Study of Media Torrent Leaks and User Risks** — 2026 · Journal article
  - Journal of Quantitative Description: Digital Media (JQD:DM)
  - Seidenberger, S., Pursell, N., & Maiti, A. To appear.
  - doi 10.51685/jqd.2026.014
- **What Should I Become? When LLMs Present a Slice of Opportunity as the Whole** — 2026 · Conference paper
  - 9th AAAI/ACM Conference on AI, Ethics, and Society (AIES-26)
  - Wise, T., Seidenberger, S., & Maiti, A. To appear.
- **Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art** — 2026 · Conference paper
  - EvoMUSART 2026
  - Trinh, K., Seidenberger, S., Spracklen, J., Wijewickrama, R., Viswanath, B., Jadliwala, M., & Maiti, A.
  - doi 10.1007/978-3-032-24350-8_10
- **NinjaDoH: A Censorship-Resistant Moving Target DoH Server Using Hyperscalers and IPNS** — 2026 · Conference paper
  - Workshop on Measurements, Attacks, and Defenses for the Web (MADWeb, at NDSS)
  - Seidenberger, S., Beret, M., Wijewickrama, R., Jadliwala, M., & Maiti, A.
  - doi 10.14722/madweb.2026.23006
- **From Big Data to Valued Data: A Dataset Value Taxonomy for AI-Native Empirical Research** — 2025 · Conference paper
  - 8th AAAI/ACM Conference on AI, Ethics, and Society (AIES)
  - Seidenberger, S., & Maiti, A.
  - doi 10.1609/aies.v8i3.36715
- **Initial Evidence of Pervasive Reconnaissance Targeting Ethereum Node Infrastructure** — 2025 · Conference paper
  - 7th ACM International Symposium on Blockchain and Secure Critical Infrastructure (BSCI, at ACM ASIACCS)
  - Seidenberger, S., & Maiti, A.
  - doi 10.1145/3709016.3737797
- **A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasks** — 2025 · Conference paper
  - International Joint Conference on Artificial Intelligence (IJCAI)
  - Trinh, K., Seidenberger, S., Wijewickrama, R., Jadliwala, M., & Maiti, A.
  - doi 10.24963/ijcai.2025/1132
- **MagnetDB: A Longitudinal Torrent Discovery Dataset with IMDb-Matched Movies and TV Shows** — 2025 · Conference paper
  - 19th International AAAI Conference on Web and Social Media (ICWSM)
  - Seidenberger, S., Pursell, N., & Maiti, A.
  - doi 10.1609/icwsm.v19i1.35959
- **EtherBee: A Global Dataset of Ethereum Node Performance Measurements Coupled with Honeypot Interactions and Full Network Sessions** — 2025 · Conference paper
  - 7th IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
  - Seidenberger, S., & Maiti, A.
  - doi 10.1109/ICBC64466.2025.11114523
- **Why You've Got Mail: Evaluating Inbox Privacy Implications of Email Marketing Practices in Online Apps and Services** — 2025 · Conference paper
  - 15th ACM Conference on Data and Application Security and Privacy (CODASPY)
  - Seidenberger, S., Ajisegiri, O., Pursell, N., Raja, F., & Maiti, A.
  - doi 10.1145/3714393.3726516
- **Analysis of Patterns and Trends in COVID-19 Research** — 2021 · Journal article
  - Procedia Computer Science, 185, 302–310 (CASC 2021, Malvern, PA)
  - Dornick, C., Kumar, A., Seidenberger, S., Seidle, E., & Mukherjee, P.
  - doi 10.1016/j.procs.2021.05.032
- **Can Government Agencies Compete with For-Profit Companies for Software Talent? Examining the Role of Employer Branding and Government Attitudes in Attracting Student Applicants** — 2018 · Conference paper
  - Academy of Management Meetings, Chicago
  - Seidenberger, S., & Collins, C. J.
  - doi 10.5465/AMBPP.2018.13596symposium

### 04. Datasets

Public datasets released alongside the measurement work.

- **Why You've Got Mail: Evaluating Inbox Privacy Implications of Email Marketing Practices in Online Apps and Services** — 2025 · Dataset
  - Academic Torrents
  - Seidenberger, S., Ajisegiri, O., Pursell, N., Raja, F., & Maiti, A.
  - 1,100+ downloads.
- **MagnetDB: A Longitudinal Torrent Discovery Dataset with IMDb-Matched Movies and TV Shows** — 2025 · Dataset
  - Academic Torrents
  - Seidenberger, S., Pursell, N., & Maiti, A.
  - 300+ downloads.
- **EtherBee: Ethereum Node Network Traffic, Telemetry, Honeypot Interactions, and Logs** — 2024 · Dataset
  - Open Science Framework (OSF)
  - Seidenberger, S., & Maiti, A.
  - osf.io/c5upf

### 05. Under review and pre-prints

- **CLPIPS: A Personalized Metric for AI-Generated Image Similarity** — 2026 · Under review
  - Under review
  - Trinh, K., Rothenberger, J., Seidenberger, S., Diochnos, D. I., & Maiti, A.
- **The Refinement Gap: A Mixed-Effects Comparison of Human and Agentic Prompt Refinement in Image Regeneration** — 2026 · Under review
  - Under review
  - Trinh, K., Seidenberger, S., Wijewickrama, R., Jadliwala, M., & Maiti, A.
- **Node Infrastructure First: Measuring Attacks, Modeling Cascades, and Rapid Recovery Tactics** — 2026 · Under review
  - Distributed Ledger Technologies: Research and Practice (DLT)
  - Seidenberger, S., Trinh, K., & Maiti, A.
- **Stake Your Claim: Zero-Trust Validator Deployment Leveraging NFTs and Smart Contracts in Proof-of-Stake Networks** — 2023 · Pre-print
  - arXiv
  - Seidenberger, S., Sokol, A., & Maiti, A.
  - arXiv 2308.01158

### 06. Review articles and military publications

- **Airborne Cooperative EW Integrated Reprogrammable Exchange (ACEWIRE)** — 2022 · Military
  - Classified
  - Seidenberger, S. T.
  - Led to a $100k award for system testing; initial tests were successful, and the system remains under active development.
- **3-1 AWACS** — 2022 · Military
  - Classified
  - First author of the chapter on electromagnetic warfare.
- **3-3 AWACS** — 2022 · Military
  - Controlled Unclassified
  - Second author of the chapter on mission planning air operations.
- **Sidewinder: Creative Missile Development at China Lake** — 2018 · Book review
  - Air & Space Power Journal, 32(4), 103–105
  - Seidenberger, S. T.
- **Why Air Forces Fail: The Anatomy of Defeat** — 2018 · Book review
  - Air & Space Power Journal, 32(1), 125–127
  - Seidenberger, S. T.
- **Space Weather Effects on Satellite-Based Airborne Communications in USCENTCOM** — 2018 · Military
  - Classified
  - Seidenberger, S. T.
- **A New Role for Human Resource Managers: Social Engineering Defense** — 2016 · Review article
  - Cornell HR Review
  - Seidenberger, S.
  - hdl.handle.net/1813/73018

### 07. Research grants

$45,000 in funded research grants as Co-PI across three awards, plus competitive travel, sponsorship, and fellowship awards.

- **[Co-PI] Ethereum Foundation Academic Grant (FY24-1546): CANARY** — 2024 · $24,000
  - Change Analysis and Network Anomaly Recognition sYstem
  - Real-time surveillance and changepoint-based anomaly detection for Ethereum P2P security.
- **[Co-PI] Ethereum Foundation Academic Grant (FY24-1547): SEADRAGON** — 2024 · $17,000
  - Secure Ethereum Anonymity & Defense Relay via Advanced Global Overlay Networking
  - Purpose-built VPN overlay to obscure node IPs and improve resilience against network-layer attacks.
- **[Co-PI] Storj, Inc. Grant: RADS** — 2024 · $4,000
  - Rapid Activation via Decentralized Snapshots
  - Web3 decentralized storage pipeline for faster Ethereum snapshot delivery and node recovery.

### 08. Other grants and awards

- **OU College of Engineering Travel Award** — 2025
  - University of Oklahoma
- **Ethereum Foundation Education Sponsorship Award** — 2025 · $4,000
  - Hacklahoma 2025
  - Funded the inaugural Built on Ethereum Prize; delivered a web3 workshop and mentored on behalf of the Ethereum Foundation, helping 300+ students build dApps.
- **Ethereum DevCon Academic Fellowship** — 2024 · $3,000
  - Ethereum DevCon
  - Competitively selected as an academic fellow for the largest Ethereum developer and community conference.

### 09. Teaching

Three graduate courses at the University of Oklahoma, plus U.S. Air Force instruction reaching 1,000+ officers and aviators as a course director and flight instructor.

- **Blockchains and Cryptocurrencies** — Spring 2025 · CS 5833
  - Co-Instructor
- **Cyber Attacks and Defenses** — Spring 2025 · CS 5970
  - Teaching Assistant
- **Financial Engineering** — Summer 2024 & 2025 · DSA 5303
  - Teaching Assistant
- **Advanced Signals Intelligence** — 2020–2022 · USAF
  - Course Director / Lead Instructor
- **Instructor Air Battle Manager** — 2019–2022 · USAF
  - Instructor

### 10. Invited talks

Invited talks and panels across academic, industry, and defense venues, including TE Connectivity, Bloomberg and Cornell CAHRS, Hacklahoma, the Joint Requirements Council, and TEDx.

- **GenAI & HR: AI Adoption, Work Redesign, and the Unit Economics of Enterprise AI** — June 2026 · Invited talk
  - TE Connectivity HR Leadership Team (HRLT), Virtual
- **Charting the Future: GenAI & HR** — April 2026 · Working group
  - CAHRS In-Person Working Group, Colgate-Palmolive, New York, NY
- **Charting the Future: GenAI & HR** — October 2025 · Working group
  - Bloomberg CAHRS Working Group, New York, NY
- **Crafting Cutting-Edge Applications for a Decentralized Web** — February 2025 · Workshop
  - Hacklahoma 2025, Norman, OK
- **Beyond Horizon Range Engagements** — September 2022 · Keynote
  - Joint Requirements Council, St. Louis, MO
  - Audience included the Vice Chairman of the Joint Chiefs of Staff.
- **Integrating a New Generation of Warriors** — May 2015 · TEDx
  - TEDx, Ithaca, NY

### 11. Professional service

Program committee member for AIES 2026; peer reviewer for eight venues, including NeurIPS, IEEE S&P, AISTATS, and WWW; departmental faculty-hiring committee service.

- **AAAI/ACM Conference on AI, Ethics, and Society (AIES)** — 2026 · Program committee
  - Program committee member
- **Reviewer for eight venues** — 2017 – 2025 · Peer review
  - Conferences and journals
  - AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2025.
  - Conference on Neural Information Processing Systems (NeurIPS), 2024–2025.
  - IEEE Symposium on Security & Privacy (Oakland), 2025.
  - Conference on Artificial Intelligence and Statistics (AISTATS), 2025.
  - International Conference on Distributed Computing Systems (ICDCS), 2025.
  - The ACM Web Conference (WWW), 2025.
  - Pervasive & Mobile Computing Journal (PMC), 2025.
  - Air & Space Power Journal (ASPJ), 2017–2019.
- **CS Faculty Hiring Committee** — 2025 · Departmental
  - University of Oklahoma
  - Tenure-track search in cybersecurity.
- **Readiness Working Group, Helium Network migration to Solana** — 2023 · Industry
  - Helium community
  - Participated in the community readiness process; the public migration update records the group's decision to move migration timing to April 18, 2023.

### 12. Student mentoring

- **Noah Pursell (’26)** — 2026 · B.S. research
  - Quantitative methods
  - Mentored in quantitative methods, leading to co-authorship on two publications.
- **Natalie Hill (’25)** — 2025 · M.S. capstone
  - AI Politician: Fine-tuned Models for Political Discourse
- **Marc Beret (’24)** — 2024 · M.S. thesis
  - Evaluation of Moving-Target DoH Server Detection Using ML Models
- **Tristan Bony (’24)** — 2024 · M.S. thesis
  - Impact of External Factors on Ethereum Network Stability

### 13. Industry experience

- **Ph.D. Research Fellow** — Summer 2025
  - Nethermind, Washington, DC
  - Led technical due diligence on a Bitcoin restaking platform for a country-level ETF issuer.
  - Created novel zero-knowledge proof schemes to reduce bandwidth on Ethereum's P2P layer.
- **Co-founder & Managing Director** — 2023 – 2025
  - Epoch Forge, Washington, DC
  - Led a digital infrastructure provider specializing in web3 node operations.
  - Secured over $10M of customer funds via public blockchain validators.
  - Successfully exited after serving two enterprise customers.
- **Defense Analyst** — 2023
  - Advanced Strategic Insight, Washington, DC
  - Led research on human-machine teaming and produced a company white paper on autonomous-agent integration with air operations.
  - Led analysis for an SBIR Phase II proposal focused on USSF capability enhancement.
  - Authored technical briefs for DARPA, USAF Rapid Capabilities Office, and Space Systems Command.

### 14. Military service

Captain, United States Air Force. Instructor Air Battle Manager, Mission Commander, E-3 AWACS. Clearance: TS/SCI (2016–2024), inactive.

- **E-3B/C/G AWACS** — 2016 – 2023 · Flight record
  - Air Battle Manager · Certified Mission Commander
  - 800+ flight hours, including 300+ in combat.
- **Joint Mission Commander, NIMBLE FIRE** — 2021 – 2022 · Appointment
  - Joint Staff J8
- **Lead E-3 Planner, NEPTUNE HAWK** — 2021 – 2022 · Appointment
  - Pacific Air Forces
- **Electronic Warfare Coordinator Course** — 2021 · Assignment
  - 479 Operations Support Squadron, NAS Pensacola, FL
- **Wing Chief Electromagnetic Warfare Officer** — 2020 – 2023 · Assignment
  - 552 Operations Support Squadron, Tinker AFB, OK
- **Principal Operations and Technical Advisor, AI Integration & Directed Energy** — 2020 – 2022 · Appointment
  - Air Force Research Laboratory
  - Covered in AFRL reporting on the directed energy / kinetic energy and high power electromagnetic wargaming events.
- **Air Battle Manager Instructor Upgrade** — 2020 · Assignment
  - 966 Airborne Air Control Squadron, Tinker AFB, OK
- **Chief of Squadron Innovation** — 2019 – 2020 · Assignment
  - 964 Airborne Air Control Squadron, Tinker AFB, OK
- **Electronic Combat Officer Training** — 2019 · Assignment
  - 966 Airborne Air Control Squadron, Tinker AFB, OK
- **Liaison Officer to Joint Interagency Task Force South** — 2019 · Appointment
  - U.S. Southern Command
  - Planned air support for counter-narcotics operations.
- **Air Weapons Officer** — 2018 – 2019 · Assignment
  - 964 Airborne Air Control Squadron, Tinker AFB, OK
- **Student, Air Weapons Officer Training** — 2018 · Assignment
  - 966 Airborne Air Control Squadron, Tinker AFB, OK
- **Survival, Evasion, Resistance, and Escape (SERE)** — 2017 · Assignment
  - Fairchild AFB, WA
- **Student, Undergraduate Air Battle Manager Training** — 2016 – 2017 · Assignment
  - 337 Air Control Squadron, Tyndall AFB, FL

### 15. Awards and decorations

- **Wing Company Grade Officer of the Year** — 2023 · Award
  - United States Air Force
- **Group Electronic Combat Officer of the Year** — 2021 · Award
  - United States Air Force
- **Group Company Grade Officer of the Month (Deployed)** — 2021 · Award
  - United States Air Force
- **Top Graduate, Air Battle Manager Training** — 2017 · Award
  - United States Air Force
- **Distinguished Graduate, U.S. Air Force ROTC Field Training** — 2015 · Award
  - United States Air Force
- **Air Medal with 1 Oak Leaf Cluster** — Decorations
  - United States Air Force
  - Inherent Resolve Campaign Medal with 1 Service Star.
  - Air and Space Commendation Medal.
  - Meritorious Unit Award with 1 Oak Leaf Cluster.
  - Combat Readiness Medal.
  - Air and Space Expeditionary Service Ribbon, Gold Border with 1 Oak Leaf Cluster.
  - Global War on Terrorism Service Medal.
  - National Defense Service Medal.

### 16. References

Details and contact information available upon request.

- **Anindya Maiti, Ph.D.** — Reference
  - Assistant Professor of Computer Science and Data Science, University of Oklahoma
- **Christopher Collins, Ph.D.** — Reference
  - Professor of Human Resource Studies, ILR School, Cornell University
- **Colonel Keven Coyle** — Reference
  - Chief, USFK Commander's Initiatives Group

## Contact

Best reached at [email protected]. Enquiries about faculty searches, field studies and partnering, executive teaching, or a specific record in this file are all welcome.