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Dr. Garimella Sai Manikiran

ABOUT
NAME: Dr. Garimella Sai Manikiran

M.TECH: NIT Jaipur

E- MAIL: gmanikiran@gmail.com

POSITION: Adhoc Faculty

PhD: IIT Hyderabad

PHONE: +91 9493467528


AREAS OF INTEREST: Applied Mathematics; Complex Fluids Rheology; Mathematical Modelling; Computational Fluid Dynamics; Microfluidics; Machine Learning

PERSONAL WEB PAGE: https://scholar.google.com/citations?user=5CzJOSoAAAAJ&hl=en&oi=ao , https://www.linkedin.com/in/sai-manikiran-garimella-a100a766/
PROFILE

Publications

  1. Ravichandran, A., Harika, N. P. S. V. S., Garimella, S. M., & Anand, M. (2025). Classification of multiphase f lowregime in a horizontal pipe using supervised machine learning and bayesian optimization. In. 2025 International Conference on Data Science, Agents Artificial Intelligence (ICDSAAI), pp. 1–6. https://doi.org/10.1109/ICDSAAI65575.2025.11011882
  2. Anand, M., Kiranmai, P., & Garimella, S. M. (2024). Stability of fully developed pipe flow of a shear-thinning fluid that approximates the response of viscoplastic fluids. Applications in Engineering Science, 19, 100191, 2.2, 10, https://doi.org/10.1016/j.apples.2024.100191
  3. Garimella, S. M., Ameenuddin, M., & Anand, M. (2023). Computational fluid dynamics study of kaolin–water flow in a T?junction using a novel shear?thinning fluid model. The Canadian Journal of Chemical Engineering, 101(6), 3624-3633, 2.1, 81, https://doi.org/10.1002/cjce.24755
  4. Garimella, S. M., Anand, M., & Rajagopal, K. R. (2022). Start-up shear flow of a shear-thinning fluid that approximates the response of viscoplastic fluids. Applied Mathematics and Computation, 412, 126571, 4, 174, https://doi.org/10.1016/j.amc.2021.126571
  5. Garimella, S. M., Anand, M., & Rajagopal, K. R. (2022). Jeffery–Hamel flow of a shear-thinning fluid that mimics the response of viscoplastic materials. International Journal of Non-Linear Mechanics, 144, 104084, 3.2, 100, https://doi.org/10.1016/j.ijnonlinmec.2022.104084
  6. Garimella, S. M., Anand, M., & Rajagopal, K. R. (2022). A new model to describe the response of a class of seemingly viscoplastic materials. Applications of Mathematics, 67(2), 153-165. 0.8, 32, https://doi.org/10.21136/AM.2021.0163-20

Awards & Achievements

  1. Mar 2025: Paper Presentation, International Conference on Data Science, Agents, and Artificial Intelligence, ICDSAAI2025, CIT, Chennai.
  2. Oct 2023: Expert Talk, Latex and providing Hands-On Presentation, NIT Andhra Pradesh.
  3. Dec 2021: Oral Presentation Talk, International Conference on Complex Fluids and Soft Matter, Compflu2021, IIT Gandhinagar.
  4. Mar 2019: Gold Medal, Excellence in Table Tennis, Department of Chemical Engineering, IIT Hyderabad.
  5. Jan 2018: Gold Medal, Highest CGPA in M.Tech., Department of Chemical Engineering, MNIT, Jaipur.
  6. Apr 2016: Executive member, Two-day workshop, Fuel Cells, Department of Chemical Engineering, MNIT Jaipur.

UG Courses Taught:

  • Aug 2024 – Present:  CH1011, Introduction to Chemical Engineering, NIT AP
  • Jan 2024 – May 2024: CH361, Computational Fluid Dynamics, NIT AP
  • Aug 2023 – Present: CH301, Chemical Engineering Thermodynamics-II, NIT AP
  • Aug 2023 – Dec 2023: CH411, Process Modelling and Simulation, NIT AP
  • Aug 2022 – May 2023: CH376, Fuel Cell Technology, NIT AP
  • Jan 2023 – May 2025: CH252, Chemical Engineering Thermodynamics-I, NIT AP
  • Aug 2022 – Present: CH404, Design and Simulation Lab, NIT AP
  • Jan 2023 – May 2025: CH353, Process Dynamics and Control Lab, NIT AP
  • Jan 2025 – May 2025: CH256, Chemical Reaction Engineering Lab, NIT AP
  • Aug 2022 – Dec 2022: CH204, Fluid Mechanics Lab, NIT AP
  • 2019 – 2020: Teaching Assistant (TA) for CH1030, Fluid Mechanics, IITH
  • 2019 – 2022: TA for CH6420, Non-Newtonian Fluid Mechanics, IITH
  • 2019 – 2021: TA for CH3070 & CH3090, Chemical Engineering Thermodynamics, IITH

Supervised Undergraduate Projects

YearStudentsThesis/Project TitleCurrent Status
2023P. Kiranmai, SrinuComputational fluid dynamics study of bio-diesel purification in microchannels using deep eutectic solventsP. Kiranmai: M.Tech., Chemical Engineering, IIT Madras (2024–present)
2024K. Abhiram, N. Teja Sree, PravallikaA simulation study of surface temperature influence on localized atmospheric flows and dispersion using shallow water equations

K. Abhiram: M.Tech., Chemical Engineering, IISc Bangalore (2024–present)

N. Teja Sree: Senior Engineer, Tata Consulting Engineers

2025R. Abhilash, Anusha, Veda LakshmiClassification of Multiphase Flow Regimes in Horizontal and Vertical Pipes Using Supervised Machine Learning and Convolutional Neural NetworksR. Abhilash: SciML Engineer, ZenteiQ.ai, AIREX lab, IISc Bangalore