Reliability Beyond Benchmarks
I care about models that remain useful when data shifts beyond the training setting.
About
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.

I care about models that remain useful when data shifts beyond the training setting.
Many biomedical problems do not have clean ground-truth labels, so I study how models behave under weak or proxy supervision.
I am interested in AI systems that support their outputs with traceable evidence, especially in biomedical interpretation.
My goal is to develop methods that can support decisions in healthcare and biomedical research with rigor and transparency.
2025 – Present
University of Central Florida, Department of Industrial Engineering and Management Systems
Aug 2023 – May 2025
Worcester Polytechnic Institute, Worcester, MA
2025 – Present
University of Central Florida
Reliable machine learning, biomedical data science, foundation models
2023 – 2025
Worcester Polytechnic Institute
Healthcare AI, systematic reviews, chronic wound image annotation
2018 – 2021
Institute for Management and Planning Studies
Optimization, operations research, mathematical modeling
2010 – 2014
Islamic Azad University
Industrial engineering, project control, systems thinking
Feb 2021 – Jun 2021
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
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.
Dec 2019 – Apr 2023
Aalam Architectural & Structural Consultants
Jun 2018 – Dec 2019
Payasazeh Pasargad
Jan 2013 – Jul 2015
Aalam Architectural & Structural Consultants
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
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
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
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
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
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
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
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
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
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
2025
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
Worcester Polytechnic Institute
Received a full scholarship for Master of Science Information Technology (IT).
2019
Institute for Management and Planning Studies
Received full scholarship for Master’s degree study in Industrial Engineering at IMPS.
2018
Ranked within the top 1% among more than 20,000 participants in the Iranian Master's Entrance Exam.
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