Dr. VIGHNESH SHENOY

sode-edu.in/smvitm \   Dr. VIGHNESH SHENOY
Assistant Professor (Selection Grade)
Artificial Intelligence and Machine Learning
+919972131077
vighneshshenoy.ec@sode-edu.in
https://sode-edu.in/smvitm/dr-vighnesh-shenoy/
  • Ph.D
  • M. Tech
  • B. E
4 Years 3 Months
6 Years 12 Months
1.6 Years

Student project proposals approved for sponsorship by the Karnataka State Council for Science and Technology (KSCST) by Indian Institute of Science Campus Bangalore for year 2024-25 under the title "Al Virtual mouse"

  • PG - 5
  • PhD -
4
11

  1. Santhosh, K. V., Shenoy, V., & Navada, B. R. (2016, August). Fault identification and isolation in pneumaticvalve using image processing. In 2016 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics(DISCOVER) (pp. 205-210). IEEE. DOI: 10.1109/DISCOVER.2016.7806219
  2. Shenoy, V., & Santhosh, K. V. (2021, January). Design Of Estimator For Level Monitoring Using Data Driven Model. In 2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM) (pp. 81-86). IEEE. (Best paper award). DOI: 1 109/1CCAKM50778.2021.9357704
  3. Santhosh, K., & Shenoy, V. (2016). Analysis of liquid viscosity by image processing techniques. Indian J.Sci. Technol, 9, 98693. DOI: 10.17485/ijst/2016/v9i30/98693
  4. Shenoy, V., & Vekata, S. K. (2022). Estimation of Liquid Level in a Harsh Environment Using Chaotic Observer. Journal of Robotics and Control (JRC), 3(5), 566-582. DOI: https://doi.org/10.18196/jrc.v3i5.16183
  5. Shenoy, V., Shenoy, P., & Venkata, S. K. (2024). Accurate Liquid Level Measurement with Minimal Error: A Chaotic Observer Approach. Computation, 12(2), 29. DOI: https://doi.org/10.3390/computation12020029
  6. Shenoy, V., & KV, S. (2025). Exploring fluid flow through an orifice in an asymmetric serpentine microfluidic channel. cogent Engineering, 12(1), 2482566. DOI: mtps://d0i.org/lO.1080/2331 1916.20252482566
  7. Shenoy, V., & Krishnan Venkata, S. (2025). An In-Depth Analysis of Liquid Level Measurement Techniques and Performance Evaluation Using Computational Fluid Dynamics. Journal of Sensors, 2025(1), 4412250. DOI: https://d0i.org/lO.1 155/js/4412250

  1. Santhosh, K., & Shenoy, V. (2016). Analysis of liquid viscosity by image processing techniques. Indian J. Sci. Technol, 9, 98693. DOI: IQ-IZ4ß5Lijt120.161y9.i.301.9ß.693
  2. Presented a paper in Manipal research colloquium 2018 titled “Simulation of current and voltage input signal diode equivalent photp voltanic module” held during April 2-5 2018.
  3. Shenoy, V., & Santhosh, K. V. (2021, January). Design Of Estimator For Level Monitoring Using Data Driven Model. In 2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM) (pp. 81-86). IEEE. (Best paper award). DOI: 1 109/1CCAKM50778.2021.9357704
  4. Shenoy, V., & Santhosh, K. V. (2021, October). Characterization of orifice performance using Computational Fluid Dynamics. In 2021 IEEE Mysore Sub Section International Conference (MysuruCon) (pp. 87-91). IEEE. DOI:1 109/MysuruCon52639.2021.9641603

  1. Recent Trends in Astrophysics and Cosmology Held at Manipal Centre for Natural Sciences, Manipal University 2014 | Manipal, Karnataka, India
  2. Data Acquisition and Processing for Instrumentation and Control Application Organized by the Department of Instrumentation and Control Engineering, Manipal Institute of Technology,Manipal 2016 | Manipal, Karnataka, India
  3. Sensor Fusion and Soft Sensors Organized by the Department of Instrumentation and Control Engineering, Manipal Institute of Technology 2017 | Manipal, Karnataka, India
  4. Basics of C.F.D. and Hands-on training using ANSYS Fluent FDP held at Shri Madhwa Vadiraja Institute of Technology and Management, Bantakal 2018 | Udupi, India
  5. Innovation Ambassador Training (Foundation Level) Completed training conducted by the M0E’s Innovation Cell and AICTE during the IIC calendar year 2022-2023.
  6. Incorporating Universal Human Values in Education An AICTE Initiative FDP 2023
  7. MATLAB for Robotics and Control Workshop As a part of 2nd International Conference on Robotics Control Automation and Artificial Intelligence 2023 |Manipal, Karnataka, India
  8. National workshop on unleashing innovation for and from grassroot organized by HBN,GIAN and NITK Surathkal on 24th February 2024.
  9. Innovation Ambassador Training (Advanced Level) Completed training conducted by the M0E’s Innovation Cell and AICTE during the IIC calendar year 2024-2025.
  10. Mastering Python: Emerging Trends and Innovations organized by Department of Electronics and Communication Engineering, Shri Madhwa Vadiraja Institute of Technology & Management, in association with Kakunje software, Mangalore, held from 3rd to 7th February 2025 at SMVITM, Bantakal
  11. Innovation Ambassador Training (Re-skilling Level) Completed training conducted by the M0E’s Innovation Cell and AICTE during the IIC calendar year 2024-2025.
  12. Engineering Intelligence: An Advanced Technique in MATLAB organized by Department of AI- ML & AI-DS Engineering, Shri Madhwa Vadiraja Institute of Technology & Management, in association with CoreEL Technologies and MathWorks, held from 27th January to 31st January 2025 at SMVITM, Bantakal
Assistant Professor (Selection grade)
Department of Artificial Intelligence and Machine learning
Shri Madhwa Vadiraja Institute of Technology and Management
Vishwothama Nagar, Bantakal
Udupi – 574 115
Karnataka, India.
1-32212461411

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