Industrial and Systems Engineering

Industrial and Systems Engineering

Project Title #1: Healthcare Cost Transparency Tools
Department:  Industrial and Systems Engineering
Faculty Mentor: Michelle Alvarado, alvarado.m@ufl.edu
Ph.D. Student Mentor(s): Behshad Lahijanian
Terms Available: Summer
Student Level: Junior, Senior, 2 students a term
Prerequisites: Statistics, Interest in healthcare systems engineering and technology
Credit:  0-3credits via EGN 4912
Stipend: None unless selected for SURF
Application Requirements: Resume, UF unofficial transcripts, Statement of research interest, Faculty interview, email one pdf file of requirements to Michelle Alvarado, alvarado.m@ufl.edu
Application Deadline: April 15
Website:
N/A
Project Description: Due to recent U.S. healthcare reform, a number of healthcare cost transparency tools (HCTTs) have become available for patients to view and estimate costs of anticipated health services. This research will systematically a) identify a broad sample of HCTTs across different platforms (web, apps, etc.); 2) evaluate their accessibility (login required), data availability (number of conditions, geographic region), type of information displayed (statistics and integration with provider reviews), and user-friendly features; and 3) provide a case study comparison of the HCTTs for certain health conditions (e.g. knee surgery, labor and delivery).

Project Title #2: University Counseling and Wellness Center Scheduling Project
Department:  Industrial and Systems Engineering
Faculty Mentor: Michelle Alvarado, alvarado.m@ufl.edu
Ph.D. Student Mentor(s): Meserret Karaca 
Terms Available: Fall, Spring, and Summer
Student Level: Sophomore, Junior, Senior; 2 students a term
Prerequisites: This skills are desired, but not required: programming, statistics, simulation, OR 1 and OR 2.
Credit:  0-3credits via EGN 4912
Stipend: None unless selected for University Scholars or SURF
Application Requirements: Basic Online Application, Resume, UF unofficial transcripts, Statement of research interest, Faculty interview, email one pdf file of requirements to Michelle Alvarado, alvarado.m@ufl.edu
Application Deadline: April 1 for Summer and Fall; November 15 for Spring Term.
Website:
N/A
Project Description: The objective of this project is to support scheduling needs at the University of Florida Counseling and Wellness Center (UF-CWC). The UF-CWC has high levels of walk-in demand, some of which are for highly urgent needs and others are for new clients. This project uses methods from machine learning, simulation, and optimization to determine optimal staffing levels at the UF-CWC’s two campus locations.

Project Title #3: Simulation and Scheduling of Mohs Micrographic Surgery
Department:  Industrial and Systems Engineering
Faculty Mentor: Michelle Alvarado, alvarado.m@ufl.edu
Ph.D. Student Mentor(s): Behshad Lahijanian
Terms Available: Summer
Student Level: Junior, Senior, 2 students a term
Prerequisites: Statistics and Simulation
Credit:  0-3credits via EGN 4912
Stipend: None unless selected for SURF
Application Requirements: Resume, UF unofficial transcripts, Statement of research interest, Faculty interview, email one pdf file of requirements to Michelle Alvarado, alvarado.m@ufl.edu
Application Deadline: April 15
Website:
N/A
Project Description: Mohs Micrographic Surgery (MMS) is an iterative surgical method for removing skin cancer. Scheduling MMS is challenging due to the stochastic nature of layered skin removal. We have developed a stochastic sequential scheduling method and simulation model (Arena) of the scheduling and surgical processes. This research project will focus on data collection at a local MMS clinic, analysis of the data, and verification of the simulation model results using the real clinic data.

Project Title #1: Human motion analysis and activity recognition with multiple sensing technologies (multiple projects)
Department:  Industrial and Systems Engineering
Faculty Mentor: Boyi Hu, boyihu@ise.ufl.edu
Ph.D. Student Mentor(s): TBD based on project and availability
Terms Available: Fall, Spring, Summer
Student Level: Freshman, Sophomore, Junior, Senior, 2-3 students per semester.
Prerequisites:  Projects can be designed per student’s interest and background. Students considering graduate school are especially courage to apply. Desired skills include experiences working with human subjects (patient or aging population), good communication skill, coding fundamentals, basic data processing and statistical analysis experience.
Credit:  0-3credits via EGN 4912
Stipend: None unless selected for University Scholars for the 1st semester; then $12/hour up to 10 hours per week
Application Requirements: Resume, UF unofficial transcripts, statement of research interest, faculty interview, email one pdf file of requirements to Boyi Hu, boyihu@ise.ufl.edu to request an interview
Application Deadline: Applications are accepted on a rolling basis
Website:
N/A
Project Description: My lab works on identifying pathways that influence and improve human health. Our innovative research approach utilizes a systems framework that is driven by design of tools with the goal of improving human well-being and system performance. The primary outcome of much of my research is the prevention of work-related injuries and musculoskeletal disorders (MSDs). My research study designs are both observational/descriptive and experimental, based in both the laboratory and the real work environment. Current top priorities currently: (a) falling injury prevention for aging population and typical working groups; (b) implementation of wearable sensing technology in healthcare and rehabilitation area.

Project Title #2: Validating the use of wearable technology and machine learning for exposure assessment of workers to uneven surfaces
Department:  Industrial and Systems Engineering, Computer and Information Science and Engineering, & Electrical and Computer Engineering
Faculty Mentor: Boyi Hu, boyihu@ise.ufl.edu
Ph.D. Student Mentor(s): TBD based on project and availability
Terms Available: Fall, Spring, Summer
Student Level: Junior, Senior, 1-2 students per semester.
Prerequisites:  Project details can be developed based on student’s interest and background. Students considering graduate school are especially courage to apply. Prerequisite skills include: 1) at least 1 year of programming experience (Matlab or Python preferred); 2) signal processing fundamentals; 3) machine learning fundamentals
Credit:  0-3credits via EGN 4912
Stipend: $12/hour up to 20 hours per week
Application Requirements: Resume, UF unofficial transcripts, statement of research interest, faculty interview, email one pdf file of requirements to Boyi Hu, boyihu@ise.ufl.edu to request an interview
Application Deadline: N/A
Website:
N/A
Project Description: The two main goals of this pilot project proposal are to: 1) determine if workers’ gait behavior as measured by wearable sensors in real workplace differs significantly on different walking surfaces experienced by typical workers; and, 2) determine if artificial deep learning network algorithms can detect walking surface categories using signals from wearable sensors mounted on workers’ body during typical walking tasks.

Project Title #1: Networks in Brain Research
Department:  Industrial and Systems Engineering
Faculty Mentor: Panagote (Panos) Pardalos, pardalos@ufl.edu
Ph.D. Student Mentor(s): Antony Kocheturov, antrubler@gmail.com
Terms Available: Fall, Spring, Summer
Student Level: Junior, Senior; 2 students per semester
Prerequisites:  None, but some knowledge on Data Analysis, and an interest on new subjects will help
Credit:  0-3credits via EGN 4912
Stipend: none unless selected for University Scholars
Application Requirements: Resume, faculty interview, visit my web page for related work; email all materials in one pdf file to Panagote (Panos) Pardalos, pardalos@ufl.edu
Application Deadline: Any time throughout the year – but beginning of semesters is typically best
Website:
  www.ise.ufl.edu/pardalos
Project Description: Many large (and massive) data-sets in neuroscience can be represented as a network. In these networks, certain attributes are associated with vertices and edges. The analysis of these networks often provides useful information about the internal structure of the datasets they represent.  We are working on several networks for the epileptic brain, the Parkinson brain, and in general we use Networks to study brain dynamics.

Project Title #2: Information Theory and Network Robustness
Department:  Industrial and Systems Engineering
Faculty Mentor: Panagote (Panos) Pardalos, pardalos@ufl.edu
Ph.D. Student Mentor(s): Arsenios Tsokas, artsokas@gmail.com
Terms Available: Fall, Spring, Summer
Student Level: Junior, Senior; 2 students per semester
Prerequisites:  None, but computer skills will help.
Credit:  0-3credits via EGN 4912
Stipend: none unless selected for University Scholars
Application Requirements: Resume, faculty interview, visit my web page for related work; email all materials in one pdf file to Panagote (Panos) Pardalos, pardalos@ufl.edu
Application Deadline: Any time throughout the year – but beginning of semesters is typically best
Website:
  www.ise.ufl.edu/pardalos
Project Description: A crucial challenge in network theory is the study of the robustness of a network when facing a sequence of failures.  We proposed a novel methodology to measure the robustness of a network to component failures or targeted attacks based on Information Theory, that considers measurements of the structural changes caused by failures of the network’s components providing a dynamical information about the topological damage. The methodology is comprehensive enough to be used with different probability distributions and provides a dynamic profile that shows the response of the network’s topology to each event, quantifying the vulnerability of these intermediate topologies. There are many applications for the smart grid, evacuation and disaster recovery, security, and biomedicine.

Project Title #3: Optimization: New Challenges in Theory and Practice
Department:  Industrial and Systems Engineering
Faculty Mentor: Panagote (Panos) Pardalos, pardalos@ufl.edu
Ph.D. Student Mentor(s): Zdanovskaya Victoria, vik-zdanovskaya@yandex.ru
Terms Available: Fall, Spring, Summer
Student Level: Senior; 1 student per semester
Prerequisites:  mathematics and an interest to learn optimization
Credit:  0-3credits via EGN 4912
Stipend: none unless selected for University Scholars
Application Requirements: Resume, statement of research interest, faculty interview, visit my web page for related work; email all materials in one pdf file to Panagote (Panos) Pardalos, pardalos@ufl.edu
Application Deadline: Any time throughout the year – but beginning of semesters is typically best
Website:
  www.ise.ufl.edu/pardalos
Project Description: Large scale problems in the design of networks, energy systems, medicine and drug design, in finance, and engineering are modeled as optimization problems. Humans and nature are constantly optimizing to minimize costs or maximize profits, to maximize the flow in a network, or to minimize the probability of a blackout in the smart grid.  Due to new algorithmic developments and the computational power of computers, optimization algorithms have been used to solve problems in a wide spectrum of applications in silence and engineering. In our long time effort we try to address new challenges in the theory and practice of optimization with focus on several applications.

Project Title: VA Clinic Process Improvement
Department:  Industrial and Systems Engineering
Faculty Mentor: Xiang Zhong, xiang.zhong@ise.ufl.edu
Ph.D. Student Mentor(s): N/A
Terms Available: Fall, Spring
Student Level: Junior, Senior, 1 student per semester.
Prerequisites: COP 2271 Computer Programming For Engineers, STA 4322 Introduction to Statistics Theory
Credit:  0-3 credits via EGN 4912
Stipend: none unless selected for University Scholars
Application Requirements: Basic online application, resume, UF unofficial transcripts, email one pdf file of requirements to xiang.zhong@ise.ufl.edu to request an interview
Application Deadline: N/A
Website:
N/A
Project Description: The objectives of this project were to model patient flow in Gainesville VA Medical Clinics, evaluate resource utilization rate and waiting times, identify major areas of inefficiency within the VA clinic system, and improve patient flow and the scheduling of resources. A simulation model will be developed, which is capable of transforming inputs into objective data-driven outputs. These objective data-driven outputs can include queue length, clinic utilization rate, and provider utilization rate. Policy makers could use the data to recognize areas of inefficiency within the clinic and exploit those areas with new policies.

Project Title: Aeromedical Research: Hypoxia Sensitivity
Department:  Industrial and Systems Engineering
Faculty Mentor: Nicholas Napoli, n.napoli@ufl.edu
Ph.D. Student Mentor(s): N/A
Terms Available: Fall, Spring, Summer
Student Level: Freshman, Sophomore, Junior, or Senior
Prerequisites: Looking for students motivated in learning statistics, signal processing, machine learning and physiology.
Credit:  0-3 credits via EGN 4912
Stipend: none unless selected for University Scholars
Application Requirements: Statement of Research Interest and Faculty Interview; Email Nicholas Napoli directly at n.napoli@ufl.edu or stop by the office Weil 446 
Application Deadline: N/A
Website:
N/A
Project Description: For this Undergraduate Research Assistant position, we are seeking a motivated student who is interested in aero-medical research. Our primary research goal is to understand how heart rate dynamics can be used to evaluate the sensitivity of pilots becoming severely hypoxic, a condition which can lead to catastrophic consequences in the air. Specifically, we are exploring how Premature Ventricular Contractions (PVCs) within Electrocardiogram (ECG) Telemetry data could indicate a pilot’s sensitivity to hypoxia. Initial work for Undergraduate Research Assistant would include annotating ECG data, applying standard statistical analyses, and possibly more executing advanced machine learning methods. If interested, contact Dr. Nicholas Napoli ( n.napoli@ufl.edu ) with a statement of interest and a resume or visit the office in Weil 446A

Project Title: Human-Aware Path Planning and Avoidance for Better Human-Robot Interaction  
Department:  Industrial and Systems Engineering
Faculty Mentor: Boyi Hu, boyihu@ise.ufl.edu 
Ph.D. Student Mentor(s): Yuhao Chen
Terms Available: Fall, Spring, Summer
Student Level: Junior and Senior
Prerequisites: Familiarity with ROB system; or
Have experience in 3D print prototyping (solidworks etc.); or
Have experience in electronic prototyping; or
Have experience in computer vision (OpenCV, PCL, etc.); or
Have experience in machine learning (prefer TensorFlow with TensorFlow); and
Have passion for cool research projects
Credit:  0-3 credits via EGN 4912
Stipend: none unless selected for University Scholars the 1st semester. Subsequently, based on the performance, $10 per hour up to 10 hours per week. In addition, faculty mentor will assist mentee in seeking college or federal fellowship (e.g. NSF graduate research fellowship). 
Application Requirements: Resume, UF unofficial transcripts, statement of research interest, faculty interview, and sample work; email one pdf file with all application requirements to Boyi Hu, boyihu@ise.ufl.edu  
Application Deadline: N/A
Website:
N/A
Project Description: The primary aim of the current study is to investigate how mobile robots’ path planning and collision avoidance modes (human-aware or robot-centered) affect human safety perception, perceived workload, job performance and human-robot collaboration fluency in a mock up warehouse setting with a fully autonomous robot. With robot-human ratio approximately 1:1 and plenty of state-of-the-art Human Factor and Ergonomics research devices, my lab welcomes all talented students to work with me on human-robot interaction projects.