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MIT Institute of Design

Faculty Team

Asst. Prof. Jyoti Dixit

Pr

Jyoti Dixit

Asst. Prof. Jyoti Dixit


Animation Design
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Jyoti has completed her Master’s in Multimedia from JNFAU Hyderabad. She is a professional VFX Compositing, FX, and Motion Graphics artist with over 7 years of experience in training and course structure development, bringing diversified expertise as a VFX faculty member and instructor.
After completing her Diploma in ADVFX from MAAC Indore, she entered the industry as a active VFX artist. In 2018, she received an award in the experimental category at the 24FPS International Awards for the ‘Best of VFX Challenge 2018’.
Later, she joined Aptech under the T3 training program, initialy working as a Junior Instructor for post-production. Since then, she transitioned into a Technical Instructor role and has taught across various esteemed institutions, including Peacock Animations, Dream Merchant Academy (MAAC Drive-in), and as Senior VFX Faculty at Cinemac Animations, Delhi.
Since 2021, she has been serving as a Senior VFX Instructor at the Creative Multimedia College of Fine Arts. In this role, alongside academic instruction, she mentors student short film projects, including ‘Oh! No’, which received a prestigious award at the ‘VFX and More’ (VAM) Awards ceremony held at The Lalit, Mumbai on March 23, 2023. Furthermore, ‘Oh No!’ won the Best VFX Short Film Award in the student category at Asifa’s India Awards of Excellence (IAD).

Core Competencies
  • Eminent Leadership & Technical Expertise: Motion Design, Roto, Paint & Prep, Matchmove, Compositing, and 2D to 3D Conversion.
  • VFX Software Suite Mastery: Nuke, Fusion, After Effects, Silhouette, PFTrack, Mocha, Premiere Pro, etc.
  • Advanced Production Tools: Cinema 4D, Blender, Eon Vue, Houdini, etc.

Significant Achievements

  • Academic Research Publication: Received a Certificate of Participation from the 2nd International Conference on Recent Trends in Electrical, Electronics and Computer Technologies for the co-authored/presented research paper titled "Modeling Willingness to pay with Cultural Integrity Signals in AI Mediated Markets."