Sharif Noor Zisad

PhD Candidate (ABD) · Computer Science

University of Alabama at Birmingham
Birmingham, Alabama, USA
szisad@uab.edu
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About

Sharif Noor Zisad is a PhD candidate in Computer Science at the University of Alabama at Birmingham and a recipient of the prestigious UAB Blazer Fellowship. His research focuses on artificial intelligence, cybersecurity, and healthcare data systems, with the goal of developing frameworks that make medical environments safer, more private, and more trustworthy.

Sharif is an Erasmus Mundus Scholar who earned a joint Master's degree in Green Networking and Cloud Computing (GENIAL) funded by European Union (EU), studying in France, the United Kingdom, and Sweden. He received his Bachelor's degree in Computer Science and Engineering from the University of Chittagong, Bangladesh.

Alongside academic research, Sharif has hands-on experience building production software, automated clinical data pipelines, web platforms, analytics dashboards, and AI-powered security tools for medical environment. He has also served as a guest lecturer and teaching assistant at UAB, mentoring students in networking, cloud computing, and systems design.

Research Interests

AI-Driven Cybersecurity

Security frameworks for healthcare infrastructure using LLMs, agentic AI, and threat modeling.

Healthcare IoT & Medical Data

Security and privacy of medical devices, clinical data pipelines, and EHR systems.

Privacy-Aware Access Control

Provenance-based and LLM-explainable access control for sensitive multi-stakeholder environments.

Edge Computing & IoT Security

Lightweight intrusion detection systems and secure deployment on resource-constrained devices.

Education

A timeline of degree programs, institutions, and scholarly awards.

2023 – Present

PhD Candidate in Computer Science (ABD)

University of Alabama at Birmingham · Birmingham, Alabama

UAB Blazer Fellow

Graduate Research Assistant, Division of Nephrology, School of Medicine

Research focus: AI-driven cybersecurity, healthcare IoT security, medical data privacy

2021 – 2023

Joint Master's in Green Networking and Cloud Computing

France · United Kingdom · Sweden

Erasmus Mundus Scholarship — EU funded

Semester 1: University of Lorraine, Nancy, France

Semester 2: Leeds Beckett University, Leeds, UK

Semesters 3 & 4: Luleå University of Technology, Sweden

2016 – 2020

B.Sc. in Computer Science and Engineering

University of Chittagong · Chattogram, Bangladesh

Academic Experience

Research, and teaching roles.

Blazer Graduate Research Fellow

Department of Computer Science, UAB

Aug 2023 – Present

Research on explainable, agentic AI systems that unify adaptive threat modeling, context-aware access control, and automated privacy compliance into a coordinated, auditable defense framework for healthcare and critical infrastructure.
Designed lightweight, resource-efficient AI/ML models for real-time intrusion detection and predictive clinical analytics, enabling reliable, explainable decision-making on constrained edge hardware and in high-stakes healthcare environments.

Graduate Research Assistant

Division of Nephrology, School of Medicine, UAB

Aug 2025 – Present

Developed an automated pipeline to decrypt and process 22,000+ CRRT machine log files — converting LOX binary format into structured CSV time-series data.
Designed a patient record matching system and successfully matched 1,800 CRRT treatment sessions to EHR data using weighted matching algorithms and temporal overlap analysis.

Interim Lecturer

Department of Computer Science, UAB

Jan 2025 – Feb 2025

Delivered lectures on Network Topology and Traffic Management, Communication Protocols and Switching, VLAN, and SDN for CS 334/534 Computer Networking.

Graduate Teaching Assistant

Department of Computer Science, UAB

Jan 2025 – Aug 2025

Courses: CS 334/534 Computer Networking (Spring 2025) and CS 403/633/733 Cloud Computing (Summer 2025).
Responsibilities included live lab sessions, video tutorials, assignment creation, grading, and mentoring.

Research Assistant

Sustainable Computing Lab, University of Chittagong

Sep 2019 – Aug 2021

Applied supervised and unsupervised machine learning techniques to detect anomalies and complex behavioral patterns.
Integrated structured data analysis with domain-specific knowledge to develop real-time decision-making intelligent systems.

News

Recent milestones, publications, awards, and academic activities.

Sep

2026

Publication

TwinGuard accepted and presented at IEEE WF-PST 2026

Presented "TwinGuard: Digital Twin based Threat Simulation in Hospital Employee Pre-Onboarding for Public Safety" accepted at IEEE World Forum on Public Safety Technology, 2026

Aug

2026

Publication

PDFxRAY accepted at IEEE CARS 2026

"PDFxRay: A RAG-Enhanced LLM Framework for Explainable Malicious PDF Detection in Healthcare" accepted at IEEE Cyber Awareness & Research Symposium, 2026

May

2026

Achievement

Officially PhD Candidate (ABD)

Successfully passed PhD Candidacy exam and became PhD Candidate (All But Dissertation).

Apr

2026

Publication

Poster presented at AI in Nephrology Conference, 2026

"CRRT-MAPPER: A Scalable Machine-Driven Pipeline to Integrate Continuous Renal Replacement Therapy Machine Data with Electronic Health Records" has been presented at Artificial Intelligence in Nephrology Conference 2026.

Apr

2026

Award

AI in Nephrology Conference Travel Grant 2026

Received the Travel Grant to support AI in Nephrology Conference attendance, hosted by University of California, San Diego.

Apr

2026

Award

UAB Professional Development and Travel Award 2026

Received the UAB Professional Development and Travel Award to support conference attendance and research dissemination.

Apr

2026

Publication

LabOrchestrator accepted at IEEE COMPSAC 2026

"LabOrchestrator: An AI Framework for End-to-End Security in Medical Research Environments" accepted at IEEE Computer Society’s flagship conference on Computers, Software, and Applications, 2026

Jan

2026

Publication

ComplianceGPT accepted at IEEE ICC 2026

"ComplianceGPT: LLM driven Context-Aware Agent for Automated Medical Data Privacy Compliance" accepted at IEEE International (premier flagship) Conference on Communications, 2026.

Jan

2026

Publication

Poster presented at IEEE CCNC 2026

"IPBAC: Interaction Provenance-Based Access Control for Secure and Privacy-Aware Systems" has been presented at IEEE Consumer Communications & Networking Conference 2026.

Oct

2025

Publication

LLMAC accepted at IEEE CCNC 2026

"LLMAC: A Global and Explainable Access Control Framework with Large Language Model" has been accepted at IEEE Consumer Communications & Networking Conference 2026.

Sep

2025

Patent

Provisional Patent Filed — SmartWall

UAB Intellectual Property Disclosure filed for SmartWall: an infrastructure for sensory and computation-capable buildings using sustainable and low-cost smart materials.

Sep

2025

Best Paper

Best Paper Award at IEEE WF-PST 2025

Awarded Best Paper for "Trustworthy and Efficient P2P Updates in Drones and Autonomous Aircrafts to ensure Public Safety" at the IEEE World Forum on Public Safety Technology, 2025.

Sep

2025

Publication

ThreatGPT accepted and presented at IEEE WF-PST 2025

Presented "ThreatGPT: An Agentic AI Framework for Enhancing Public Safety Through Threat Modeling" at the IEEE World Forum on Public Safety Technology, 2025.

Aug

2025

Research

Joined Division of Nephrology as Graduate Research Assistant

Started new research role at the UAB School of Medicine, building automated clinical data pipelines for CRRT machine log analysis.

Jan

2025

Teaching

Graduate Teaching Assistant — CS 334/534 & CS 403/633/733

Appointed as Graduate Teaching Assistant for Computer Networking and Cloud Computing at UAB.

Mar

2024

Publication

First PhD research paper presented

First phd research paper entitled "Towards a security analysis of radiological medical devices using the mitre att&ck framework" has been accepted and presented at the IEEE SoutheastCon 2024.

Mar

2024

Award

UAB Barrett R. and Oceana A. Bryant Endowed Awards 2024

Received the UAB Barrett R. and Oceana A. Bryant Endowed Awards to support conference attendance and research dissemination.

Aug

2023

Fellowship

Started PhD at UAB as Blazer Fellow

Joined the UAB PhD program in Computer Science with the UAB Graduate Blazer Fellowship, focusing on AI-driven cybersecurity and healthcare data systems.

Contact

Open to academic collaboration, research partnerships, and industry opportunities in AI security and healthcare systems.

Available for remote collaboration globally.

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