About

About Me

I am a Ph.D. student in Industrial Engineering and Management Systems at the University of Central Florida, working at the intersection of machine learning, biomedical data science, computational biology, and healthcare AI.

My research is driven by a central question: how can we build machine learning methods that remain reliable when labels are weak, noisy, incomplete, or collected under changing conditions? This question is especially important in biomedical and healthcare settings, where data often shifts across populations, laboratories, timepoints, technologies, and clinical contexts.

My current work focuses on reliable machine learning for biomedical and transcriptomic data, including weak supervision, distribution shift, foundation models for gene regulation, single-cell transcriptomics, and decision-support methods for high-stakes prediction. I am particularly interested in methods that perform reliably beyond controlled benchmarks and remain interpretable and useful in real-world settings.

Before joining UCF, I completed my M.S. in Information Technology at Worcester Polytechnic Institute, where I worked on AI-assisted healthcare applications, systematic reviews, and chronic wound image annotation. I also have a background in industrial engineering, optimization, project control, and operations research, which shapes how I think about reliability, evaluation, and decision-making in applied AI systems.

Mehrdad Shoeibi
Mehrdad Shoeibi

01 /Research Philosophy

What I Care About

Reliability Beyond Benchmarks

I care about models that remain useful when data shifts beyond the training setting.

Weak and Noisy Supervision

Many biomedical problems do not have clean ground-truth labels, so I study how models behave under weak or proxy supervision.

Evidence-Grounded AI

I am interested in AI systems that support their outputs with traceable evidence, especially in biomedical interpretation.

Decision Support for High-Stakes Settings

My goal is to develop methods that can support decisions in healthcare and biomedical research with rigor and transparency.

02 /Research Experience

2025 – Present

Doctoral Researcher

University of Central Florida, Department of Industrial Engineering and Management Systems

  • Conduct research on reliable machine learning methods for biomedical data science, computational biology, and healthcare decision support.
  • Study model behavior under weak supervision, noisy proxy labels, and distribution shift across biological and real-world contexts.
  • Develop and evaluate reproducible ML pipelines for transcriptomic and biomedical datasets.

Aug 2023 – May 2025

Research Assistant, SmartWAnDS Project

Worcester Polytechnic Institute, Worcester, MA

  • Conducted systematic reviews on generative AI, foundation models, and machine learning applications in healthcare and biomedical research.
  • Developed and evaluated AI-assisted tools for chronic wound image annotation, classification, and clinical decision support.
  • Supported research workflows involving literature screening, data extraction, reproducibility assessment, and scientific writing.
Selected Moments

04 /Education

2025 – Present

Ph.D. in Industrial Engineering and Management Systems — in progress

University of Central Florida

Reliable machine learning, biomedical data science, foundation models

2023 – 2025

M.S. in Information Technology

Worcester Polytechnic Institute

Healthcare AI, systematic reviews, chronic wound image annotation

2018 – 2021

M.S. in Industrial Engineering

Institute for Management and Planning Studies

Optimization, operations research, mathematical modeling

2010 – 2014

B.S. in Industrial Engineering

Islamic Azad University

Industrial engineering, project control, systems thinking

05 /Teaching Experience

Feb 2021 – Jun 2021

Teaching Assistant, Game Theory

Institute for Management and Planning Studies, Tehran, Iran

Supported students in understanding strategic decision-making and equilibrium concepts.

Assisted in course preparation, student guidance, and evaluation in Game Theory, enhancing students' understanding of strategic decision-making processes.

Feb 2019 – Jun 2019

Teaching Assistant, Energy Pricing

Institute for Management and Planning Studies, Tehran, Iran

Supported students in understanding energy pricing and market mechanisms.

Supported teaching activities, prepared educational materials, and facilitated students' comprehension of complex concepts in energy market pricing strategies.

06 /Industry Experience

Dec 2019 – Apr 2023

Project Control Manager

Aalam Architectural & Structural Consultants

  • Managed project control activities, including scheduling, progress tracking, and cost estimation.
  • Supported BIM implementation and coordinated workflows across engineering and design disciplines.
  • Managed BIM implementation, interdisciplinary coordination, cost estimation, and optimized scheduling for major architectural projects.

Jun 2018 – Dec 2019

Project Control Specialist

Payasazeh Pasargad

  • Prepared project schedules and progress reports for construction and engineering projects.
  • Provided value engineering recommendations to support budget objectives.
  • Conducted construction coordination, scheduling, progress reporting, and value engineering for Atieh Gharb Hospital.

Jan 2013 – Jul 2015

Project Control Engineer

Aalam Architectural & Structural Consultants

  • Supported project control, scheduling, reporting, and coordination for architectural and structural projects.
  • Assisted in tracking progress and preparing documentation for management review.
  • Provided project scheduling, resource and cost optimization, and reporting for major infrastructure projects.

Selected project contributions

CFT Complex

As the Project Control Engineer, I was responsible for developing the initial project schedule and performing cost estimation for this large-scale telecom complex.

I designed a comprehensive timeline that aligned the efforts of architecture, structural, MEP, and permitting teams. One of my key contributions was organizing and facilitating coordination among disciplines to streamline the preparation and delivery of technical execution drawings, ensuring timely handoffs to the construction team.

Client: Iran Telecommunication Co. & KBM Sturdy Concrete Co. · Area: 135,000 m² · Location: Seyed Khandan, Tehran

Sepehr Elahiyeh Tower

I oversaw the project control and planning operations during the construction of this iconic high-rise commercial-administrative tower.

My responsibilities included developing the master schedule, performing budget planning, and coordinating with multiple teams to mitigate delays. I led progress tracking and variance analysis sessions, allowing the management team to make informed, data-driven decisions. The use of critical path method (CPM) and resource-leveling techniques played a key role in ensuring efficiency and preventing cost overruns.

Developer: Sepah Tehran Investment Co. & Kharazmi Development Co. · Area: 67,212 m² · Type: High-rise Commercial-Administrative · Location: Elahiyeh, Tehran

Moghadas Project

I was an integral member of the project control team for this commercial-administrative building, responsible for the baseline schedule and cost estimates.

I initiated and moderated coordination meetings between mechanical, electrical, architectural, and structural design teams to ensure all deliverables met internal deadlines and project dependencies were resolved. My planning work helped improve inter-team visibility and reduced design conflicts during early execution phases.

Client: Sepah Tehran Construction Investment Company · Built-Up Area: 6,656 m² · Location: Tehran, Iran

Iran Telecommunication Twin Towers (TCI)

I led cost and schedule planning, and oversaw BIM coordination for one of the most complex and large-scale infrastructure projects in Iran's telecom sector.

I led cost and schedule planning, while also overseeing BIM coordination between architecture, structural, MEP, and façade teams. Weekly technical meetings under my management enhanced synchronization across design disciplines and reduced bottlenecks in the approval pipeline. My efforts contributed to significantly higher design accuracy and time savings in the structural stage.

Client: Iran Telecommunication Company · Area: 240,000 m² · Location: Valfajr Town, Tehran

Ronika Palace Apartment Hotel

As the Project Control Lead, I supervised the construction schedule, budget, and cost control for this mixed-use hospitality and residential complex.

My responsibility also included maintaining real-time tracking of milestones and resource planning to support smooth coordination among contractors and suppliers.

Type: Mixed-use Hospitality & Residential · Units: 85 Apartments + 75 Villas · Location: Chalous, Iran

Pasargad Residential Tower

I managed project control planning and reporting, including drafting and refining the project timeline with cross-functional teams.

I also organized and led weekly coordination meetings, focusing on resolving discipline-level issues early in the planning process to prevent conflicts during the structural build.

Client: Passenger Terminals & Riders Park-Organization · Area: 19,000 m² · Location: Morvaridshahr, Tehran

Atieh Gharb Hospital

As project controller, I developed and maintained the project schedule, conducted progress reporting, and implemented value engineering strategies.

Created and maintained construction schedules and progress reports.

Delivered daily, weekly, and monthly updates to the client.

I also managed logistics planning, site staging, and compliance tracking to ensure the hospital met healthcare facility regulations throughout the construction process.

Facilities: 25 Clinical Depts + 9-Level Parking · Area: 8,122 m² · Type: Healthcare Facility · Location: Tehran, Iran

Saba Commercial & Recreational Complex (Saba Mall)

I was in charge of preparing the master construction schedule and developing a detailed cost estimation plan for this high-traffic commercial complex.

My work played a pivotal role in financial forecasting and procurement planning for this high-traffic commercial complex.

Client: Saba Insurance Investment · Built-Up Area: 75,000 m² · Status: Completed · Location: Iran

SmartWAnDS

Smartphone Wound Assessment and Decision Support (SmartWAnDS) is an AI-driven research initiative focused on wound assessment and decision support. As a Research Assistant at WPI, I contributed to developing machine learning models for clinical decision support in wound care, with emphasis on generative AI and systematic reviews.

Key contributions: applied deep learning techniques in wound image analysis and computer vision; built annotation tools for clinical datasets to support machine learning model training; conducted a systematic review of clinical decision support for wound infection detection; published and presented medical AI research at academic conferences; developed generative AI solutions for healthcare applications.

Institution: Worcester Polytechnic Institute (WPI) · Role: Research Assistant · Focus Area: AI in Healthcare, Wound Assessment · Technologies: Deep Learning, Computer Vision, Generative AI

Ronika Palace Kohak

As Project Control Manager, I led an 8-member team in overseeing the planning and coordination of Ronika Palace, a large-scale residential development featuring eight multi-story towers with a total of 2,000 units in Kohak. The project was characterized by its modern high-rise design and advanced architectural and engineering systems.

I led the project planning, including timeline development, coordination among architecture, structure, MEP, and permitting teams, ensuring smooth execution. Oversaw integration of residential layouts with amenities like kindergartens, green belts, fitness trails, and helipad logistics.

Site Area: 40,000 m² · Blocks & Floors: 8 blocks, 16 residential floors · Units: 2,000 units (100–125 m², 2BR) · Parking: 2,600 spaces across 3 floors · Location: District 22, near Chitgar Lake & Metro

07 /Honors & Awards

2025

Doctoral Fellowship

University of Central Florida

Received a full doctoral fellowship to pursue Ph.D. research in Industrial Engineering and Management Systems, focusing on reliable machine learning for biomedical data science and healthcare decision support.

2023

Full Scholarship, M.S. in Information Technology

Worcester Polytechnic Institute

Received a full scholarship for Master of Science Information Technology (IT).

2019

Full Scholarship, M.S. in Industrial Engineering

Institute for Management and Planning Studies

Received full scholarship for Master’s degree study in Industrial Engineering at IMPS.

2018

Ranked in the top 1% among 20,000+ applicants in the Iranian National Graduate Entrance Exam for Master’s Programs

Ranked within the top 1% among more than 20,000 participants in the Iranian Master's Entrance Exam.

08 /Technical Skills

Programming & Machine Learning
Python · PyTorch · Scikit-learn · Keras · NumPy · Pandas
Data Science & Research Tools
Jupyter Notebook · Google Colab · GitLab · Git / GitHub · Docker · Minitab · MATLAB
Biomedical AI & Research Methods
Biomedical data analysis · Transcriptomic data analysis · Systematic reviews · Literature screening · Scientific writing · Reproducibility assessment
Analytics, Optimization & Visualization
Tableau · Statistical analysis · Operations research · Mathematical programming · Process optimization
Industrial Engineering Tools
MS Project · Primavera P6 · Navisworks · Vensim · Visio

09 /Get in touch

I am open to research collaborations, internships, and applied research opportunities in machine learning, biomedical data science, genomics, transcriptomics, and healthcare AI. I am especially interested in projects involving reliable learning, weak supervision, distribution shift, foundation models, evidence-grounded AI, and decision-support systems for high-stakes settings.

Mehrdad.Shoeibi@ucf.edu