aanuoluwapo ojelade
Graduate Research Assistant at Virginia Tech Grado Department of Industrial and Systems Engineering
ergonomist | graduate researcher | safety engineer
web developer civil engineering structure designer . use highway engineering software ( civil 3d ) structural design software ( autodesk robot staad pro )
Virginia Tech Grado Department of Industrial and Systems Engineering
https://www.linkedin.com/company/virginia-tech-grado-department-of-industrial-and-systems-engineering
Occupational Ergonomics and Biomechanical Lab

Designed and conducted state-of-the-art experiments to assess the effects of passive back, arm, and leg supporting exoskeletons. 

Designed an experiment to test the effectiveness of Microsoft Azure Kinect in recognizing construction workers' tasks. 

Performed analysis on Physiological sensor and motion capture data using programming and statistical software.
Blacksburg, Virginia, United States
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Graduate Research Assistant
Freelance
Designed shopping website with ReactJS and NodeJS

Used PHP to create a dynamic website for appointment scheduling

Implemented an enterprise application for Development (C# and VB)

Data Analysis 
Created Business Dashboards for Stakeholders using Microsoft Reporting and Analysis Service (SSRS and Power BI Desktop)

Data Warehouse implementation
Web Developer and Data Analyst
Virginia Tech
https://www.linkedin.com/company/virginia-tech
Taught and Assisted Wireless Systems in Construction class

Assisted with teaching, organizing office hours, and proctoring exams for Introduction to Human Factors class

Assisted with teaching, organizing office hours, and proctoring exams for Risk and Hazard controls class
Blacksburg, Virginia, United States
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Graduate Teaching Assistant
Virginia Tech
https://www.linkedin.com/company/virginia-tech
Blacksburg, Virginia
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Graduate Assistant
SNAPNET Limited
Application Developer
Data warehousing
Microsoft Reporting and Analysis Service (SSRS and Power BI)
System Administrator (Red Hat and Ubuntu Server)
Odoo ERP solution
Sharepoint administrator
1B, Abayomi Shonuga Street, Lekki
Team Lead - Data Analysis
Federal university of petroleum resources
Assisted In Lecturing and grading student
Misc. Office Administration work
Effurun
Graduate Research Assistant
Doctor of Philosophy - PhD
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Virginia Tech Grado Department of Industrial and Systems Engineering
https://www.linkedin.com/school/virginia-tech-grado-department-of-industrial-and-systems-engineering/
Master of Engineering - MEng
Industrial and Systems Engineering
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Virginia Tech Grado Department of Industrial and Systems Engineering
https://www.linkedin.com/school/virginia-tech-grado-department-of-industrial-and-systems-engineering/
Bachelor of Engineering (B.Eng.)
Civil Engineering
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Osun State University
https://www.linkedin.com/school/osun-state-university/
Involved in the development of long term and short-term diversity goals for the graduate school.
Involved in creating more awareness for the under-represented minority in the graduate school
Graduate Student Association Diversity Subcommittee
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Manage AGSO Wordpress website to deliver content to members in a timely mannaer
Manage AGSO Social media websites e.g., Facebook and Twitter, to approve posts and deliver news to members
Design event flyers and distribute those materials to create awareness
African Graduate Student Organization (AGSO)
Media Coordinator
Child and Green Foundation
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Human Factors and Ergonomics Society
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Visual field observations are critical in construction project management. Cost reduction and increases in data usability have made RGB cameras more prevalent on construction sites, expanding capabilities of the modern construction manager. The eyes of a construction manager are irreplaceable tools which monitor and subjectively evaluate construction activities. The variety of “right” and “wrong” ways to complete a construction task make the automation of visual field operations a difficult task. Existing vision-based methods are limited to RGB-depth cameras which are rarely used on construction sites. This paper presents a method for using deep learning techniques to aid the automatic recognition of construction worker activities from RGB camera footage and to what extent can computer vision accurately detect construction worker activity. OpenPose human estimation algorithm was used to create 2D human pose samples of construction activities using RGB cameras. The samples are used to train and test a time distributed feed forward neural network with LSTM Keras model classifier. The results of this work in progress set the stage for improving the usefulness of visual data for project management in a variety of construction scenarios and other labor-intensive sectors. Monitoring the safety and productivity of construction workers will become more efficient allowing much-needed increases in our capacity to develop and maintain infrastructure.
Construction Worker Posture Estimation Using OpenPose
2020
https://ascelibrary.org/doi/abs/10.1061/9780784482872.060
Currently, the U.S. construction workforce is aging faster than the next generation is being trained. While an insufficient workforce will cause major issues with the advancement of infrastructure, it also causes less discussed worker health safety hazards. Traditional experiential learning is a major limitation of the construction industry’s growth rate due to the non-availability of real environments, time, and training supervisors. Virtual reality (VR) allows for a virtual environment to efficiently mimic dangerous, expensive, and difficult to set up training scenarios. This paper presents an exploration of a virtual approach to training future construction workers. VR environments and a RGB camera based pose estimation pedagogical tool are evaluated for their ability to improve the training process of future construction workers. Study participants will be assessed on their ability to learn, identify, and assess health safety risks, specifically proper lifting and postural techniques associated with construction tasks. Findings of this work in progress will provide quantified learning gains by measuring training time, changes in behavior, and risk assessment ability; and a qualitative understanding of the experience in the virtual environment through participant interviews. Findings from this study transfer to a much-needed digitization of pedagogical approaches for blue collar industries.
Virtual Reality Postural Training for Construction
2020
https://ascelibrary.org/doi/abs/10.1061/9780784482872.061
This article describes how the high energy consumption associated with glass factories has been responsible for high cost of manufacturing of glass. However, there is a need for a systematic approach to assess energy consumption in the factory in order to avoid wastage. Previous methods of assessment could not take into cognizance of assessing the entire unit. Additionally, the methods are mostly complex and not straight forward"To overcome these constraints, an approach for audit energy consumption was developed. Energy study was conducted in a glass production plant in Ughelli, Nigeria to determine the energy requirements for the production of glass. The energy consumption patterns of the units operations were evaluated for production of 200 tonnes of glass bottles. The analysis revealed that there were ten defined units in a glass production. The electrical, thermal and manual energy required for the productions were 84.31, 15.59 and 0.10% of the total energy, respectively. The average energy intensity was estimated to be 818.53 MJ/tonne. The most energy intensive operation was identified as the melting process of the furnace with an energy intensity of 395.94 MJ/tonne, which accounts for 48.37% of the total energy required for glass production. Improvement on the design of the melting furnace is suggested to make the system more energy efficient.
Preliminary Energy Assessment of Glass Production in Nigeria
2018
Buildings are typically designed to be aesthetically pleasing and cost effective, leaving out maintainability. This is partly because existing tools do not permit the involvement of facility managers or their inputs in the design phase. This has often resulted in the design of buildings with components or systems that cannot be accessed or are too costly to maintain. Such non-functional building components affects the performance and often, satisfaction of building occupants. Maintenance of inaccessible buildings components have also been known to have implications on the safety of facility managers. Therefore, this paper presents an approach that uses a gaming platform to engage facility managers in the design phase, while capturing their knowledge and experience for the purpose of improving existing design tools and platforms. The functionality and usability of the developed approach is demonstrated.
Gaming Approach to Designing for Maintainability: A light Fixture Example
2018
https://pdfs.semanticscholar.org/4252/7c3f5e788c4d262e780e38d973c1417a747d.pdf
Construction laborers perform multiple labor intensive and physically demanding tasks, which exposes them to the risk of work related musculoskeletal disorders. When construction laborers sustain these injuries, they are typically reassigned to other tasks. The body motion involved in carrying out the assigned task should have limited use of the affected body part(s). This has implications on the productivity and health of a reassigned laborer. Traditional approach to reassigning laborers are subjective and ignores the effect of the tasks on the affected body part. To address this limitation, an ergonomic analysis framework is proposed to quantify the risk factors associated with body parts during the execution of construction tasks, so as to enable the reassignment of construction laborers to tasks that will impose the least strain on the affected body part. Preliminary results are provided to demonstrate feasibility.
Reassigning Construction Laborers based on Body Motion Analysis
2018
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HC & C W Watson Scholarship
Osun State University
Best Graduating Student Civil Engineering
Epidemiology and Quantitative Methods in Public Health
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Graph Theory and Network Flows
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Human Factors Research Design
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Human Factors in System Design
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Human Information Processing
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Human Physical Capabilities
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Linear Optimization
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Occupational Health Safety Practicum
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Psychosocial Human Factors
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Work Physiology
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Created Data Warehouse for NLNG
Successfully created ETL package to extract data from Excel sheet to Sql Server 2012.
Modelled Data Using DAX
Developed Power BI Custom Visual for NLNG KPI 
Connected Power BI to data warehouse
Created the report with Power BI.
NLNG Microsoft Power BI Reporting Service
Implemented Power BI desktop report for UBA GMD Dashboard. 
Used DAX to model the data from Sql Server and Oracle DB.
UBA Power BI Reporting Service
Created Data Warehouse for NLNG
Successfully created ETL package to extract data from Oracle Db to Sql Server 2012.
Modelled Data Using DAX and Power Query M
Developed Power BI Custom Visual for NLNG KPI 
Connected Power BI to data warehouse.
Created the report with Power BI.
Oando Microsoft Power BI Report
https://www.linkedin.com/in/shiyu-deng-07b23613a
Blacksburg, VA
Shiyu Deng
Graduate Teaching Assistant at Virginia Tech
https://www.linkedin.com/in/chihab-nadri-178814a7
Blacksburg, VA
Chihab Nadri
Graduate Research Assistant in Human Factors Engineering at Virginia Tech
https://www.linkedin.com/in/anthonyobinnaugwu
Blacksburg, VA
Obinna Ugwu
PhDing at Virginia Tech
https://www.linkedin.com/in/gfitch
San Francisco Bay Area
Greg Fitch
Head of Safety Research, Android Auto at Google
https://www.linkedin.com/in/kevinliang-1
San Francisco Bay Area
Kevin Liang
Senior UX Researcher | Mentor & Educator | Founder at Zero to UX | YouTube Creator | Speaker
https://ng.linkedin.com/in/davidoladeji
Nigeria
David O.
1x.engineer
https://ch.linkedin.com/in/janahrend
Zurich, Switzerland
Jan Ahrend
Senior UX Researcher at YouTube
https://www.linkedin.com/in/noamsegal
Pompano Beach, FL
Noam Segal
I ❤️ research (and 🍕)
https://www.linkedin.com/in/aonayang
San Francisco, CA
Aona Yang
UX Research @ Google | Creator of @AonaTalks - a YouTube channel for all UXRs
https://www.linkedin.com/in/deepahsmith
Greater Seattle Area
Deepa Smith
Recruiter at Meta (PKA Facebook)
https://www.linkedin.com/in/bensontrenh
Los Angeles Metropolitan Area
Benson Trenh
Emerging Talent Recruiting @ Meta
https://ng.linkedin.com/in/akinwale-akinkunmi-53045b86
Nigeria
Akinwale Akinkunmi
Attended LAUTECH
https://ng.linkedin.com/in/samuel-oyedele-b031b5177
Nigeria
Samuel Oyedele
Student at Osun state University
https://ng.linkedin.com/in/tony-wemton-50a92275
Nigeria
tony wemton
director of program and research. at wemton agricultural development & advisory services
https://ng.linkedin.com/in/abdullahi-jamiu-057074205
Lagos
Abdullahi jamiu
Company Owner at as-sunnah hi-technology
https://www.linkedin.com/in/kewala
San Francisco, CA
Kewal Agarwalla, PMP®, CMIT
Cost Manager at Cumming | Project Controls| Estimation| Data Analysis| Program Management| Quantity Surveying
https://www.linkedin.com/in/namanahuja
Greater Seattle Area
Naman Ahuja
Software Engineer at Meta | Infra
https://www.linkedin.com/in/manastewani
New York, NY
Manas Tewani
Digital Delivery Coordinator/Project Engineer at Jacobs
https://www.linkedin.com/in/prabal-malviya-aa5629100
Boston, MA
Prabal Malviya
Machine Learning / Computer Vision Engineer
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I am excited to share that I have completed a Product Design course at Torilo Academy,It was a great learning experience as it helped shaped my…
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“There is no force more powerful than a woman determined to rise.” — Korhan ErdolHappy International Women's Day! #iwd2022 #phdlife #womeninstem…
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This semester ended with a bang for me!I was assigned to teach a course - Introduction to Human Factors Engineering - in Fall 2021. My advisor…
Civil Engineering & Construction
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https://www.linkedin.com/groups/118269
Institution of Civil Engineers
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Grad School Info Enclave
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