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Final Executive Interview • Dean & Provost 10-Minute Self-Brief School of ITCS • Nile University

Teaching Excellence, Research Leadership &
Administrative Governance

Synthesizing US Federal Grant Leadership, High-Impact AI Scholarship, and Institutional Service for Nile University

Islam Akef Ebeid, Ph.D.

Candidate for Associate Professor of Artificial Intelligence • School of ITCS
Lead PI, National Science Foundation (NSF) CISE/CCF Grant | Director, Data2AI4LifeSciences Lab

BSc (Ain Shams Univ.) • Professional MSc (Arkansas Tech) • MSc & Ph.D. (UA Little Rock / UT Austin) • FE & ITIL Certified

Executive Profile & Career Trajectory

Bridging Egyptian engineering roots with 15+ years of US R1/R2 academia, federal grants, and global tech R&D

$671K
Total Grant Funding
($600K NSF / $210K Lead PI)
14 + 13
14 Refereed Papers
+ 13 Technical Reports
4.5 / 5
Mean Teaching Eval
(12+ Courses Across 4 Univs)
6+ Roles
Admin & Governance
(Search, AI, Curriculum)

Education, Honors & Certifications

2014 – 2022 | UA Little Rock & UT Austin (72 Transferred Ph.D. Cr)
MSc & Ph.D. in Computer & Information Science
Outstanding Doctoral Graduate (2022) • ACM ETRA Best Short Paper (2019) • UT Austin Recruitment & PD Fellowships • Data Science for Social Good Fellow (2020)
2003 – 2013 | Arkansas Tech Univ. & Ain Shams Univ.
Prof. MSc in CIS (ATU) • BSc in Computer & Systems Eng. (ASU)
Distinctive Capstone Award (2008) • Certifications: FE, ITIL, Egyptian Syndicate of Engineers, AAUP

Academic & Industrial Leadership

2022 – 2026 | US Faculty & Postdoctoral Appointments
Assistant Professor (TWU & SAU) • NIH Postdoc (UNT)
Founded Data2AI4LifeSciences Lab; won NSF CISE grant in Year 1 (TWU Hanover Grants Academy Award 2023); NIH R01 grant writing & GNN drug repurposing.
2005 – 2020 | Global R&D & Enterprise Engineering
AbbVie, Intel Corp (CA), TACC, Arkansas.gov, Orange, WeDo, Vodafone
Pharma KG link prediction (AbbVie), GPU Visual SLAM (Intel), Lockheed Martin eye-tracking cognitive load (UT Austin), & telecom billing systems.
Pillar 1 • Research & Grants

Research Leadership & Funded Lab Ecosystem

Director of the Data2AI4LifeSciences Lab • Multi-agency federal, institutional, and corporate funding

Active Federal Grant (2025–2028)

NSF CISE/CCF (#2523786)

$600,000 Total ($210K PI)

Lead PI: Auto-prompt textual annotations with domain knowledge for multimodal medical image segmentation (with UTRGV).

Institutional Awards (2023–2025)

Lab Startup & HPC Grants

$66,000 + $5,000

Principal Investigator: Established the Data2AI4LifeSciences Lab, GPU workstations, HPC memory upgrade, and student stipends.

Prior Sponsored R&D

NIH, NSF, Intel & Lockheed

4 Sponsored Programs

NIH Drug Repurposing & R01 dev (UNT); NSF Entity Resolution (UALR); Lockheed Martin Cognitive Load & Intel HPC (UT Austin/TACC).

Core Research Pillars

  • Data Quality & Entity Resolution (ER): Unsupervised graph clustering, spectral modularity optimization, and data observability for trustworthy AI.
  • Biomedical Knowledge Graphs & GNNs: Integrating multi-omics, proteomics, clinical imaging, and 35M+ PubMed citations for drug discovery.

Human-Centered & Translational AI

  • Cognitive & Eye-Tracking Modeling: Bayesian mixed-effects Markov models and real-time gaze transition entropy in high-stakes environments.
  • Industrial Translation: Predictive drug-target interaction pipelines validated with AbbVie and GPU computer vision with Intel.
Pillar 1 • Disseminated Scholarship

High-Impact Publications & Frontier AI

7 Refereed Journal Papers • 7 Peer-Reviewed Conference Papers (25% Mean Acceptance Rate) • 4 Theses • 13 Reports

Selected Refereed Journal Articles (n = 7)

  • Frontiers in Bioinformatics (2025): Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks (Ebeid, Tang, Gu).
  • Scientific Data — Nature (2020): Building a PubMed knowledge graph (35M+ papers disambiguated & linked to NIH grants).
  • Frontiers in Big Data (2022): MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding.
  • IJACSA (2022): ModER: Graph-based Unsupervised Entity Resolution using Composite Modularity Optimization & LSH.
  • Scientometrics (2021, 2022) & Voluntas (2021): Entity metrics on COVID-19 literature & computational social science toolboxes.

Selected Peer-Reviewed Conferences (n = 7)

  • IEEE CBMS (2025): Adapting a Segmentation Foundation Model for Medical Image Classification (Spatially Localized Channel Attention).
  • Springer ITNG (2022) & iConference (2021): Graph-based hierarchical record clustering for unsupervised ER & Biomedical KG refinement.
  • ACM SIGKDD Workshop (2020): Coronavirus Knowledge Graph: A Case Study.
  • ACM SIGCHI ETRA (2018, 2019): Bayesian mixed-effects Markov models (Best Short Paper Award) & Real-time gaze transition entropy.
  • Electronic Imaging EI (2016): Protein Chemical Cross-linking/Mass Spectrometry: Immersive CAVE visualizations (VisInt-X).

Personal Frontier Initiative: Taming the AI Parameter Explosion via Neuro-Symbolic GNNs

Addressing the unsustainable trillion-parameter scaling bottleneck in foundation models by replacing brute-force weight memorization with dynamically queried Graph Neural Networks and formal symbolic logic constraints—enabling verifiable, green, and compact AI at Nile University.

Pillar 2 • Teaching & Mentorship

Teaching Record, Curriculum & Advising

12+ Courses Taught Across 4 US Universities • Research-Led Guild Pedagogy • 7 Graduate Capstones/Theses Mentored

TWU (Eval: 4.2 / 5.0)

  • CSCI 5773: Artificial Intelligence (Course Developer)
  • CSCI 4823: Principles of Data Mining
  • CSCI 4623: Big Data & High-Perf. Computing
  • CSCI 3603/5173: Foundations of Data Science
  • CSCI 4513/5803: Data Warehousing
  • CSCI 5663: Statistical Programming
  • CSCI 5103 & 5001: Informatics & Prog.

SAU (4.5/5) & UT Austin (4.75/5)

  • UT Austin (Instructor): Fundamentals of Computer Vision & Machine Learning (2018, 2019)
  • SAU (Instructor): Computer Science II (Python OOP), Database Mgmt Systems, Unix OS
  • UT Austin (Grad TA, 7 Courses): AI in Healthcare, Human-AI Interaction, Data Semantics, Virtual Environments, Research
  • UALR & ATU (TA): Info Vis, Python, Networks

7 Advised Capstones (2024–25)

  • M. Karim (2025): Automated EDW for Cybersecurity Incident Analytics
  • P. Berko (2024): ML for Drug Repurposing
  • D. Pettway (2024): Oral Microbiome & CVD Risk
  • Y. Martinez (2024): First-Gen Student Success at R1s
  • H. Campbell & M. Bobo (2024): Credit Card Fraud Predictive Modeling
  • J. Frazier (2024): Alzheimer's Progression ML

Pedagogy & ITCS Readiness: Live-coding debugging, NSF dataset integration, and HyFlex delivery. Ready on Day 1 to teach undergraduate/graduate core courses (AI, ML, Deep Learning, Databases, Algorithms, Big Data/HPC) and launch new electives in AI in Life Sciences and Foundation Model Governance & MLOps.

Pillar 3 • Administrative & Governance Roles

Academic Administration & Institutional Service

Proven leadership in faculty recruitment, university AI strategy, curriculum governance, and scholarly review

Departmental & University Governance

2023 – 2024 | Division of Computer Science, Texas Woman's University
Recruitment Coordinator — Faculty Search Committee
Directed faculty recruitment workflows, job announcements, candidate screening rubrics, campus interview schedules, and faculty onboarding.
2024 | Texas Woman's University
Member — University AI Initiative Committee
Shaped university-wide administrative policies, ethical guidelines, and academic strategies for generative and applied AI adoption.
2024 | Division of Computer Science, Texas Woman's University
Member — Division Curriculum Committee
Evaluated degree requirements, audited course syllabi, and spearheaded graduate AI curriculum modernization.
2018 – 2024 | TWU, SAU & UT Austin
Sustainability, Diversity & Student Organization Leadership
University Sustainability Committee (TWU, 2024) • Faculty Advisor, CS Club (SAU, 2023) • Diversity & Inclusion Committee (UT Austin, 2018–19).

Editorial Governance, Peer Review & Civic Service

  • Editorial Boards & Editing:
    • Editorial Board Member: Research in Biomedical Engineering & Technology (2025–Present)
    • Editorial Fellow: Journal of Information & Culture, UT Press (2019)
    • Publication Editor: IEEE MeMeA Symposium (2017)
  • Journal Referee (5 Venues):
    • Nature Quality & Quantity (2025) • Journal of Supercomputing (2025)
    • Cambridge Univ. Press J. Natural Language Engineering (2022–2023)
    • J. Nonprofit Mgmt & Leadership (2024) • J. Imaging Sci. & Tech.
  • Conference Referee & Representation:
    • ACM SIGKDD, ACM CIKM, IEEE BIBM, ACM SIGCHI ETRA
    • Institutional Representative at Supercomputing (SC), TACCSTER, ACM SIGCSE, & MCBIOS.
  • Community Leadership: Resala Foundation (Cairo), Refugee Services of Texas, Dallas CASA, Citizens' Climate Lobby.

Strategic Value Proposition for Nile University

Integrating research funding, curricular innovation, and administrative leadership at ITCS

1. Research & Funding Engine

External Grant Leadership

  • Establish the Data2AI4LifeSciences Lab at Nile University.
  • Translate US NSF PI track record into winning STDF, ASRT, and EU Horizon proposals.
  • Engage NU students in active international US-Egypt collaborative publications.
2. Curricular Excellence

Industry-Ready AI & CS

  • Deliver high-enrollment core CS/AI courses and graduate seminars with 4.5+ teaching rigor.
  • Bridge academic theory with industrial MLOps, Data Observability, and Bio-AI.
  • Train MSc/PhD theses aligned with Egypt's healthcare and tech sectors.
3. Institutional Builder

Accreditation & Governance

  • Contribute immediately to ABET / NAQAAE accreditation, curriculum review, and faculty recruitment.
  • Build R1/R2 international partnerships (UT System, TWU, UALR) and local industry consortia.
  • Advance Egypt Vision 2030 in AI sovereignty and digital transformation.

Long-Term Commitment: Finalizing permanent relocation to Egypt—bringing a proven blend of US federal grant leadership, evaluated teaching mastery, and proactive administrative citizenship to serve Nile University.

Thank You • 10-Minute Self-Brief

Questions & Executive Discussion

Thank you to the Dean, the Provost, and the Final Interview Committee • Nile University

Islam Akef Ebeid, Ph.D.

Email: iaebeid@gmail.com | iaebeid@utexas.edu

Academic Portal: iebeid.github.io • Lab: Data2AI4LifeSciences Lab

Scholarly Profiles: Google Scholar | ResearchGate | DBLP

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