I am a core researcher since my under grad, I have hands on experience in design of experiments, robotics, bio mechanics, design and automation, image processing and computer vision. Have secured a couple of visa sponsored jobs from Germany in Robotics and Automation and multiple research admits such as PhD fellowships and Masters (merit scholarships) from few of the Russell Group & R1 Universities in UK, USA, France & Germany in Space, Aeronautical, Mechanical, Materials, ML, AI & Robotics.
Jul/2024 - Present.
Jul/2024 - Present.
Aug/2022 - Jun/2024.
MX08FRO665-00 (Led, R&D).
MX12FIT865-HG (Led, R&D)
MX08FRO865-00 (Assisted, R&D)
MX08FRO465-00 (Assisted, R&D)
Luneburg Lens (R&D)
Oct/2021 - Jun/2022.
Aug/2021 - Sept/2021
Oct/2020 - May/2021, Thesis.
Master of Technology, Mechatronics Engineering
Bachelor of Technology, Mechanical Engineering
Maths, Physics, Chemistry
High Schooling
AutoCAD, Solid Works, Fusion 360, Inventor, CATIA, Creo, NX, Solid Edge, Altium, Draft Sight
Ansys (Structural / Thermal / Modal / Harmonic / Dynamic / CFD), Hypermesh, Abaqus, LS- DYNA, COMSOL
C/C++, Python (Data Science, Computer Vision, ML), MATLAB / Simulink, SQL, MySQL, Labview, PLC (Ladder Logic), HTML, CSS, JS, Figma, Adobe XD
SAP, Salesforce Propel, Windchill, Trello, Miro.
Photoshop, Illustrator, Filmora, Premier Pro, Adobe Animate, Audition, Lightroom, Blender, Tableau, Power BI, Google Analytics
Cite as:
Uday Kiran Kandala, Ananta Venkata and Solomon, Darius Gnanaraj and Arulraj, Joseph Jeyapaul (2022) Advantages of taguchi method compared to response surface methodology for achieving the best surface finish in wire electrical discharge machining (WEDM) / Ananta Venkata Uday Kiran Kandala, Darius Gnanaraj Solomon and Joseph Jeyapaul Arulraj. Journal of Mechanical Engineering (JMechE), 19 (1): 15. pp. 185-200. ISSN (eISSN): 2550-164X
Cite as:
K A V Uday Kiran et al 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1128 012019
Cite as:
Uday Kiran K A V and Darius Gnanaraj Solomon*. A mini review on Magnetic Lead Screw Technologies. Adv in Rob & Mech Engin 3(1)- 2021. ARME.MS.ID.000154. DOI: 10.32474/ARME.2021.03.000154.
Cite as:
K A V Uday Kiran and D R S Raghuraman 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1128 012047
Presented at VIT VELLORE
Presented at VIT Vellore
Presented at VIT Vellore
Presented at VIT Vellore
Presented at ICSET-19, VIT VELLORE. Received 'Best Paper Award'.
Presented at ICSET-20, VIT VELLORE.
Presented at ICONACES - 20.
Color classification of leather using image processing.
Surface Defect Identification in Leather.
Wing actuation mechanism using Shape Memory Alloy mechanism.
Disease identification in OKRA plants using Image Processing / ANN & Drowsiness detection for Automobiles.
Reviewing research papers on 'Robotics, Computer Vision & ML' at the 'Journal of Mechatronics and Robotics'.
Secured a 'Fully Funded PhD' in Materials and Metallurgy at the University of Birmingham & Tokamak Energy (UK) under 'UKAEA fusion skills voucher program', in collaboration with IJC LAB, CNRS at University of Paris Saclay (France), University of Michigan, University of Tennessee and ORNL (USA) and Forschungszentrum Jülich (Germany).
Recipient of 'Vice Chancellor's International Scholarship' for MSc in Data Science and AI at the New Castle University.
Recipient of 'INDIA MERIT AWARD Scholarship' for MSc in Robotics and AI at the University of Glasgow.
Recipient of 'Leeds Business School Scholarship' for MSc in Business Statistics & SCM at the University of Colorado Boulder
Recipient of 'London Scholarship' for MSc in AI at the Northumbria University.
Recognized as 'Special Achiever' by the Vellore Institute of Technology, Vellore for representing the University at various international technical events, 2021.
Recognized as 'Achiever' by the Vellore Institute of Technology, Vellore for representing the University at various national technical events, 2021.
'Second Runner Up' at 'International Design Hackathon' conducted by University of Queensland & VIT Vellore, 2020.
Finalist in 'Hack The Crisis' hackathon, 7 out of 120 plus teams and 1000 plus members, conducted by MHRD INDIA & AICTE, 2020.
Gold recognition for a research presentation at 'International Conference on Applications in Computational Engineering Sciences', 2021.
Received 'Best Paper Award' for a research work on 'Leather Defect Detection using Image Processing', at ICSET - 19, VIT Vellore, 2019.
Certificate of Merit in 'National Interactive Math Olympiad', 2009 & 2010
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