Mr. Junaid Dar | Microstructure characterization | Best Researcher Award
Junaid Dar at Oregon state univeristy, United States
Mr. Junaid Dar is a research scholar at the School of Mechanical, Industrial and Manufacturing Engineering, Oregon State University, USA, where he focuses on metal additive manufacturing, graphene-metal composites, and laser-based scanning strategies. He holds an M.S. in Mechanical Engineering from the Gwangju Institute of Science and Technology (GIST), South Korea, and a B.Sc. in Industrial and Manufacturing Engineering from UET Lahore, Pakistan. His research contributions span across 3D printing, microfabrication, precision engineering, and optical surface evaluation, with publications in top-tier journals like Advanced Functional Materials, Materials Today Communications, and International Journal of Advanced Manufacturing Technology. He has received the Best Paper Award at ASPEN 2022 in Singapore and is a recipient of prestigious scholarships including the Korean Government Scholarship and PEEF. Mr. Dar brings rich industrial experience from NESPAK and Grays of Cambridge, combining practical insights with cutting-edge research in next-generation manufacturing technologies.
Professional Profile:
Summary of Suitability for Best Researcher Award: Mr. Junaid Dar
Mr. Junaid Dar exemplifies the qualities of a top-tier candidate for the Best Researcher Award through his outstanding academic, research, and industrial track record in advanced manufacturing technologies. Currently pursuing his Ph.D. at Oregon State University, he has a solid foundation with advanced degrees from Gwangju Institute of Science and Technology (South Korea) and UET Lahore (Pakistan), demonstrating global research exposure and excellence.
🎓 Education
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🧠 Ph.D. in Mechanical Engineering
Oregon State University, USA (2023–Present) | 📊 CGPA: 3.71/4.00 -
🧪 MS in Mechanical Engineering
Gwangju Institute of Science and Technology (GIST), South Korea (2020–2022) | 📊 CGPA: 3.85/4.50 -
🏭 B.Sc. in Industrial & Manufacturing Engineering
UET Lahore, Pakistan (2011–2015) | 📊 CGPA: 3.37/4.00
🧪 Research Interests & Expertise
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🔩 Metal Additive Manufacturing
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📊 Scan Strategies in LPBF (Laser Powder Bed Fusion)
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🧱 Metal-Graphene Composites
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🔬 Material Characterization & Optical Measurements
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🧫 Microfluidic Device Fabrication
🧑💼 Research & Work Experience
🏫 Oregon State University (USA)
Graduate Research Assistant – Dec 2022 to Present
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Laser scan strategies for LPBF
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Development of metal-graphene composites via Binder Jetting
🏛️ KRISS, South Korea
Research Engineer – Sep 2022 to Nov 2022
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Development of 300mm Wafer 3D Stacked Inspection Equipment
🧪 UMSL, GIST (South Korea)
Research Assistant – Sep 2020 to Aug 2022
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Unmanned surface inspection using optical technologies
🧬 M3 Lab, GIST
Research Assistant – Sep 2019 to Aug 2020
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Fabrication of microfluidic devices and micro-molding processes
🏢 NESPAK, Pakistan
Junior Mechanical Engineer – Jan 2017 to Aug 2019
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Tender and bid document prep, project estimation, field inspection
🏭 Grays of Cambridge (Pak) Ltd.
Production Engineer – Jul 2015 to Jan 2017
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Production planning, 5S implementation, product development
🧾 Publications & Patents
📄 Journal Articles
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Advanced Functional Materials – Graphene-Metal Additive Manufacturing (Under preparation)
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Journal of Materials Research and Technology – Scan Strategies Review (2025)
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IJAMT – Lapping Surface using Specular Light (2022)
📑 Conference Proceedings
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M&M 2025, ASPEN 2022, PRESM 2021
🧬 Patent (Under Review)
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Metal-Graphene Composites in Additive Manufacturing, 2025
🏆 Awards & Achievements
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🥇 Best Paper Award, ASPEN 2022, Singapore
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🎓 GIST PR Ambassador – Pakistan (2020–2021)
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🧭 GIST Student Ombudsperson (2021–2022)
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🇰🇷 Korean Government Scholarship Recipient (2020–2022)
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🎓 PEEF Scholar (2011–2015, Punjab Education Endowment Fund)
📚 Academic Experience
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👨🏫 Teaching Assistant
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Production Engineering (Fall 2023)
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Intro to Eng. Programming (Spring 2022)
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Solid Mechanics (Fall 2021)
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🛠️ Skills & Tools
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💡 Personal Skills: Manufacturing Process Control, Teamwork, Critical Thinking
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🖥️ Software: MATLAB, COMSOL, SolidWorks, AutoCAD, LabVIEW
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🌐 Languages: Urdu (Native), English (IELTS Band 7), Korean (Level 2)
Publication Top Notes
Field surface roughness levelling of the lapping metal surface using specular white light
CIted : 6
A review on scan strategies in laser-based metal additive manufacturing
Cited : 1
Specular reflection based on-machine surface roughness rating of machined surface
Surface finish levelling of a free form mold surface adopting specular light based vision technique