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Ramaiah University of Applied Sciences

B K Swathi Prasad

Dr. Swathi Prasad B K

Assistant Professor

Dr. B K Swathi Prasad is a highly accomplished and dedicated professional with a strong background in Electrical and Electronics Engineering, particularly in the field of Control Systems. She holds a Ph.D. in Multi-Agent Control, earned from M.S. Ramaiah University of Applied Sciences in 2023. Her academic journey includes a B.E. in Electrical and Electronics from VTU and an M.Tech in Control Systems from Manipal Institute of Technology.

Throughout her career, Dr. Swathi Prasad has received numerous accolades, such as the Annual exemplary faculty award for service in Ramaiah University of Applied Sciences in 2018 and being recognized as a faculty achiever on RUAS Innovation Day in 2023. Her dedication to research and academia is evident in her impressive list of international and national conference papers, journal publications, and her Ph.D. dissertation on self-adaptive control strategies for robotic applications.

With extensive experience in academia, she has served as an Assistant Professor at M.S. Ramaiah School of Advanced Studies and M.S. Ramaiah University of Applied Sciences, where she also held the position of Associate Head at the Innovation Centre. Dr. Swathi Prasad’s areas of expertise include Control Systems, Machine Learning, and Finite Element Analysis of Electric Machines.

She is an active member of professional organizations such as IEEE and ISTE, reflecting her commitment to staying at the forefront of advancements in her field. Her passion for teaching and research is further demonstrated by her involvement in mentoring undergraduate and postgraduate thesis.

Dr. Swathi Prasad’s contributions extend beyond her academic work, as she has been involved in funded research projects and has filed multiple patents. Her commitment to education and research, coupled with her impressive list of achievements, marks her as a prominent figure in the field of Electrical and Electronics Engineering, particularly in Control Systems and Multi-Agent Control.

Qualifications

  • Ph.D. in Multi-Agent Control

    Ramaiah University of Applied Sciences, Bangalore

  • M Tech in Control Systems

    Manipal Institute of Technology

  • B E in Electrical and Electronics

    VTU

Experience

Total years of Experience : 14.34 Years

Academic Experience

  1. Teaching Assistant – Manipal Institute of Technology (2010 ‑2011)
  2. Assistant Professor Department of Electrical and Electronics Engineering – M S Ramaiah School of Advanced Studies (2012 — 2014)
  3. Assistant Professor — Ramaiah University of Applied Sciences — Bangalore (July 2014 ‑Present)
  4. Associate Head, Innovation Centre — M S Ramaiah University of Applied Sciences – 2017 – 2021 

Industry Experience:

  • Project Trainee – ISRO, HAL Main Road – 2011 – 2012

FDP Attended

  • FDP on LabVIEW in Jan 2018
  • FDP on FEM Analysis in Jan 2018
  • Development of core shell nanoparticles for tribiological applications in Jan 2020
  • IEEE AESS DL ON ​“Robust Adaptive Control for Autonomous Space Vehicle Proximity Operations” in Feb 2020
  • TI Embeded System Design using MSP430 MCU MOOC in 2021
  • Hands-on Python in ML:Webinar for Beginners in May 2023
  • Workshop on Grant Writing in June 2023
  • Empowering Engineering Excellence through MATLAB and Simulink in August 2023
  • TReE-Teaching Research and Empowering in March 2023

Training Experience

  • Invited Lectures: Introduction to Control Systems – CAIR, DRDO, Bangalore – January 2016
  • Invited Lectures: Modeling and Control for DC Machines — Centre for Professional Development and technology management, Robert Bosch, Bangalore – March 2015

  • Interest: Control Systems, Machine Learning, Finite Element Analysis of Electric Machines
  • Expertise: Control Systems

Ph.D. Dissertation: Development of Self- Adaptive Control Strategies for Polygonal Formation and Flocking in MAS for Robotic Applications

National Conference Papers

  • Anushree, R. and Prasad, B.S., 2016, December. Design and development of novel control strategy for trajectory tracking of mobile robot: Featured with tracking error minimization. In 2016 IEEE Annual India Conference (INDICON) (pp. 1 – 6). IEEE.
  • Prasad, B.S., Ramasangu, H. and Kadambi, G.R., 2023. Decentralized Control Strategy for Flocking of Multi-Agents in Polygonal Configuration in the Presence of an Obstacle. 20th India Council International Conference (INDICON) – 2023 (Accepted)
  • Pooja, Prasad, B.S., Jayahar, S., 2023. A Personalized E‑Learning System Using Reinforcement Learning Through Satellite. 20th India Council International Conference (INDICON) – 2023 (Accepted)

International Conference Papers

  • Prasad, B.S., Manjunath, A.G. and Ramasangu, H., 2017, February. Multi-agent Polygon Formation using Reinforcement Learning. In ICAART (1) (pp. 159 – 165). 
  • Prasad, B.S., Manjunath, A.G. and Ramasangu, H., 2016, July. Flocking trajectory control under faulty leader: Energy-level based election of leader. In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) (pp. 1 – 6). IEEE.
  • Prasad, B.S. and Ramasangu, H., 2017, September. Goal-based multi-agent tree formation using reinforcement learning. In 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 2180 – 2184). IEEE.
  • Prasad, B.S., Manjunath, A.G. and Ramasangu, H., 2016, September. Multi-agent trajectory control under faulty leader: Energy-level based leader election under constant velocity. In 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 2151 – 2156). IEEE.
  • Prasad, B.S., Sunil, D. and Gowda, A., 2019, August. Development of Integrated Health Care App for Non-Invasive Bio-Medical Application. In 2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) (pp. 1 – 5). IEEE.
  • Prasad, B.S. and Ramasangu, H., 2018, September. Trajectory Tracking by Multi-Agent in Octagonal Formation using Conventional and Adaptive Control. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 838 – 844). IEEE.
  • Vijayan, R., Prasad, B.S. and Sriram, A.T., 2015, August. Simulation of sliding mode controller of boost converter for fuel cell hybrid electric vehicle. In 2015 IEEE International Transportation Electrification Conference (ITEC) (pp. 1 – 5). IEEE.

National Journal Papers

  • Rangapur, I., Prasad, B.S. and Suresh, R., 2020. Design and development of spherical spy robot for surveillance operation. Procedia Computer Science, 171, pp.1212 – 1220. 
  • Gandhi, S.U. and Prasad, B.S., 2020. Modelling and intelligent control of micro PMBLDC for surgical robotic applications. Procedia Computer Science, 171, pp.745 – 754.

International Journal Papers

  • Manickavasagam, K., Prasad, B.K.S. and Ramasangu, H., 2019. Assessment of power system security using Security Information Index. IET Generation, Transmission & Distribution, 13(14), pp.3040 – 3047.
  • Prasad, B.S., Ramasangu, H. and Kadambi, G.R., 2022. Decentralized Tribrid Adaptive Control Strategy for Simultaneous Formation and Flocking Configurations of Multi-agent System. International Journal of Advanced Computer Science and Applications, 13(6).
  • B.K. Swathi Prasad, Hariharan Ramasangu and Govind R. Kadambi, 2022 Characterization of Transient and Steady-State Behaviour of Leader-Follower Configuration of MAS with Varying Communication Range, International Review of Automatic Control (IREACO), 15 (3), 122 – 133 

Modules Taught:

Electrical Machines and Power Engineering, Control Systems Engineering, Controls and Servomechanisms, Linear Control Systems, Fuzzy and Neural Systems, Computer Aided Engineering for Electromagnetic analysis of Electric Machines, Control System Design and Development, Robotic System Design and Simulation

UG Thesis Advised:

  • Development of Hexapod robot to mimic Hexapoda locomotion 
  • Design and Development of Skate-bot for Carrying Payload
  • Development of Health Care App for Non – Invasive Biomedical Application
  • PG MS Thesis Advised:
  • Reverse Power Flow Control in DFIG for Grid Connected Wind Farm
  • Design and Development of Novel Sliding Mode Boost Converter for Automotive Applications
  • Design and Development of Compensator to improve Thermal Life Expectancy of Transformer
  • Design and Development of Control Strategy for Robot Motion Control Featured With Tracking Error Minimization
  • Design and Development of Driver Circuit for Electric Vehicle Applications
  • Gyroscope Based Weapon Targeting System on Combat Vehicle
  • Self – balancing Scooter
  • Modelling and Analysis of BLDC Motor and Controller to Minimise Pulsating Torque
  • Development of utility software to automate PID tuning for servo controller test systems
  • Design and Development of Power Train System for Three Wheeled Electric Vehicle
  • Design and Development of a Low-Cost Scalable Swarm Robots for Collective Behaviors
  • Modelling and design of micro motors for robotic applications
  • Development of spy robot for surveillance application
  • Modelling and Analysis of BLDC motor and control to minimize pulsating torque
  • Cleaning Robot using Reinforcement Learning
  • Design and Development of an Automated System for Face Mask and Temperature Detection for Potential Prevention of Covid-19
  • Flight Stability Analysis and Autopilot Design: Matlab Flight Gear Integration
  • Reviewer of Projects:
  • ü Simultaneous Allocation of Charging Stations and Capacitors in Distribution Networks Improving Voltage and Power Loss” For the Canadian Journal of Electrical and Computer Engineering , 2016
  • Optimal Scheduling of Energy Resources and Management of Loads in Isolated/​Islanded Microgrids.” For the Canadian Journal of Electrical and Computer Engineering, 2016
  • Cost Optimization Depending on Load Compositions in Isolated Wind Diesel Based Multi Units System for RDCAPE 2017
  • On the tracking of fast trajectories of a 3DOF Torsional Plant: A Flatness Based ADRC Approach” for Asian Journal of Control, 2019.
  • Flocking control of multi-agent systems with nonlinear velocity measurements and uncertainty, Neurocomputing journal, Elsevier, 2020
  • Robust flocking motion of multi-agent systems with matched/​mismatched disturbances, Information Sciences, Elsevier, 2020
  • In-house journal and conference publications
  • Techno Centre Project: Electromagnetic and Thermal Analysis of 5kW BLDC Generator — CVRDE — June 2014 — 2016
  • Professional Memberships: IEEE Student Member — 93329286, ISTE – LM 136868

Patent filed: 3 Published:1

  1. Annual exemplary faculty award for service in Ramaiah University of Applied Sciences – 2018 
  2. Faculty achiever on the occasion of RUAS Innovation Day — 2023
  3. Grant Application Acceptance for ICAART Conference – 134 EUR for registration — 2017
  4. Exemplifying performance certificate for project trainee at ISRO, Bangalore ‑2011
  5. Represented as Single Point Projector coordinator:
    1. Reviewed projects of 43rd series of KSCST in IISC, Bangalore and students received cash prize of 5000
    2. Reviewed projects and students received few 100$ worth products for TI Innovation projects
    3. Reviewed projects of WRO and students were selected to further rounds
    4. Reviewed projects of DRUSE, DRDO, Bangalore and students received cash prize of 10000Reviewed project of Thermal analysis of LV motors in ABB, Bangalore

6. Reviewed project of Thermal analysis of LV motors in ABB, Bangalore