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.
π Education
-
π§ Ph.D. in Mechanical Engineering
Oregon State University, USA (2023βPresent) | π CGPA: 3.71/4.00 -
π§ͺ MS in Mechanical Engineering
Gwangju Institute of Science and Technology (GIST), South Korea (2020β2022) | π CGPA: 3.85/4.50 -
π B.Sc. in Industrial & Manufacturing Engineering
UET Lahore, Pakistan (2011β2015) | π CGPA: 3.37/4.00
π§ͺ Research Interests & Expertise
-
π© Metal Additive Manufacturing
-
π Scan Strategies in LPBF (Laser Powder Bed Fusion)
-
π§± Metal-Graphene Composites
-
π¬ Material Characterization & Optical Measurements
-
π§« Microfluidic Device Fabrication
π§βπΌ Research & Work Experience
π« Oregon State University (USA)
Graduate Research Assistant β Dec 2022 to Present
-
Laser scan strategies for LPBF
-
Development of metal-graphene composites via Binder Jetting
ποΈ KRISS, South Korea
Research Engineer β Sep 2022 to Nov 2022
-
Development of 300mm Wafer 3D Stacked Inspection Equipment
π§ͺ UMSL, GIST (South Korea)
Research Assistant β Sep 2020 to Aug 2022
-
Unmanned surface inspection using optical technologies
𧬠M3 Lab, GIST
Research Assistant β Sep 2019 to Aug 2020
-
Fabrication of microfluidic devices and micro-molding processes
π’ NESPAK, Pakistan
Junior Mechanical Engineer β Jan 2017 to Aug 2019
-
Tender and bid document prep, project estimation, field inspection
π Grays of Cambridge (Pak) Ltd.
Production Engineer β Jul 2015 to Jan 2017
-
Production planning, 5S implementation, product development
π§Ύ Publications & Patents
π Journal Articles
-
Advanced Functional Materials β Graphene-Metal Additive Manufacturing (Under preparation)
-
Journal of Materials Research and Technology β Scan Strategies Review (2025)
-
IJAMT β Lapping Surface using Specular Light (2022)
π Conference Proceedings
-
M&M 2025, ASPEN 2022, PRESM 2021
𧬠Patent (Under Review)
-
Metal-Graphene Composites in Additive Manufacturing, 2025
π Awards & Achievements
-
π₯ Best Paper Award, ASPEN 2022, Singapore
-
π GIST PR Ambassador β Pakistan (2020β2021)
-
π§ GIST Student Ombudsperson (2021β2022)
-
π°π· Korean Government Scholarship Recipient (2020β2022)
-
π PEEF Scholar (2011β2015, Punjab Education Endowment Fund)
π Academic Experience
-
π¨βπ« Teaching Assistant
-
Production Engineering (Fall 2023)
-
Intro to Eng. Programming (Spring 2022)
-
Solid Mechanics (Fall 2021)
-
π οΈ Skills & Tools
-
π‘ Personal Skills: Manufacturing Process Control, Teamwork, Critical Thinking
-
π₯οΈ Software: MATLAB, COMSOL, SolidWorks, AutoCAD, LabVIEW
-
π 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