Dr. K. Lakshmi Prasanna | Engineering | Best Researcher Award

Dr. K. Lakshmi Prasanna | Engineering | Best Researcher Award

Visiting faculty at Birla Institute of Technology and Science Pilai, India

Dr. K. Lakshmi Prasanna ๐ŸŽ“ is a passionate researcher and academician in the field of High Voltage Engineering, with a strong command over system modeling, fault diagnostics, and parameter estimation using MATLAB/Simulink ๐Ÿ› ๏ธ. She brings a unique blend of theoretical insight and hands-on expertise in simulation, optimization, control systems, and signal processing. Her innovative Ph.D. work at BITS Pilani, Hyderabad focused on transformer winding modeling and inter-turn fault diagnostics ๐Ÿ”, proposing novel, non-intrusive algorithms with real-world applicability. With a foundation in Power Electronics and Electrical Engineering โšก, she also has teaching experience at multiple esteemed engineering colleges, nurturing minds in core subjects. Driven by curiosity and adaptability, she actively embraces new software tools and collaborative environments ๐Ÿ’ก. Her professional trajectory reflects a consistent commitment to academic excellence, technical rigor, and transformative innovation in electrical engineering. ๐Ÿš€

Professional Profile

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๐Ÿ“š Education

Dr. Lakshmi Prasannaโ€™s educational journey ๐ŸŒฑ reflects a steady and impressive rise through the academic ranks of electrical engineering. Beginning with a remarkable 96.9% in her Higher Secondary ๐Ÿซ, she pursued her B.Tech in EEE and M.Tech in Power Electronics from JNTUA, scoring 85.1% and 85%, respectively ๐ŸŽฏ. Her academic excellence culminated in a Ph.D. in High Voltage Engineering at BITS Pilani, Hyderabad Campus, where she maintained an impressive 8.0 CGPA ๐Ÿ“ˆ. Her doctoral thesis delved into cutting-edge research on transformer fault diagnosis and system modeling, placing her at the forefront of innovation in condition monitoring and electrical diagnostics. Throughout her educational path, she has consistently demonstrated not just technical brilliance but also a hunger for knowledge and an ability to bridge theory and application seamlessly ๐Ÿ“˜โš™๏ธ.

๐Ÿ‘ฉโ€๐Ÿซ Professional Experienceย 

With over a decade of dedicated service in academia and research, Dr. Lakshmi Prasanna has built a versatile and impactful professional portfolio ๐Ÿง . Beginning her journey as an Assistant Professor at Rami Reddy Subbarami Reddy Engineering College (2012โ€“2017), she laid her pedagogical foundations teaching essential subjects like Electrical Machines, Circuits, and Power Electronics ๐Ÿ”Œ. Her journey continued at St. Martinโ€™s Engineering College (2017โ€“2019), where she continued imparting technical knowledge with enthusiasm and clarity. From 2018 to 2025, her role as a Research Assistant at BITS Hyderabad marked a turning point, as she immersed herself in advanced simulation and transformer fault diagnostics ๐Ÿ”ฌ. Beyond teaching, her experience also includes proposal writing, technical documentation using LaTeX, and collaborative interdisciplinary projects, marking her as a well-rounded professional ๐ŸŒ๐Ÿ“.

๐Ÿ” Research Interestsย 

Dr. Lakshmi Prasannaโ€™s research is deeply rooted in the intelligent modeling of electrical systems, with a spotlight on transformer winding diagnostics, state-space modeling, and parameter estimation using non-intrusive techniques ๐Ÿงฉ. Her innovative Ph.D. work proposed the integration of subspace identification and similarity transformations to estimate transformer parameters and detect inter-turn faults purely from terminal measurements โš™๏ธ๐Ÿ”. Her expertise in MATLAB M-script development, COMSOL Multiphysics simulations, and system optimization reflects a rare proficiency in both simulation and real-world application. Additionally, she is intrigued by control systems, fault-tolerant design, and signal processing, with a strong drive toward creating robust, adaptive models for condition monitoring ๐Ÿง ๐Ÿ“Š. Her work directly contributes to the reliability and safety of electrical infrastructure, making her research highly relevant to modern power systems and smart grid innovation ๐ŸŒโšก.

๐Ÿ… Awards and Honors

Dr. Lakshmi Prasannaโ€™s academic journey is marked by consistently high achievements and academic recognition ๐Ÿ†. From securing a 96.9% in her HSC to maintaining top scores through her undergraduate and postgraduate studies, her excellence has been evident from the outset ๐ŸŽ“. While formal awards during her doctoral years may not be listed, her selection and continuation at BITS Pilani, one of Indiaโ€™s premier institutions, is a distinction in itself ๐ŸŒŸ. Her progression into high-level research projects, including complex simulation and modeling of transformer systems, attests to her recognition within the academic and research community. Her teaching roles across reputed engineering colleges and involvement in technical proposal writing and collaborative research are testaments to her leadership and scholarly respect ๐Ÿฅ‡. She continues to be acknowledged for her dedication, depth of knowledge, and clarity in delivering technical content.

Publications Top Notesย 

1. Terminal-based method for efficient inter-turn fault localization and severity assessment in transformer windings

  • Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal

  • Year: 2025

  • DOI: 10.1016/j.prime.2025.100982

  • Source: e-Prime โ€“ Advances in Electrical Engineering, Electronics and Energy

  • Summary: This study introduces a non-invasive method for identifying and assessing the severity of inter-turn faults in transformer windings using only external terminal measurements. The approach enhances fault detection accuracy without requiring internal access to the transformer.


2. Radial deformation detection and localization in transformer windings: A terminal measured impedance approach

  • Authors: Lakshmi Prasanna Konjeti, Manoj Samal, Mithun Mondal

  • Year: 2025

  • DOI: 10.1016/j.prime.2025.100945

  • Source: e-Prime โ€“ Advances in Electrical Engineering, Electronics and Energy

  • Summary: The paper presents a novel, non-invasive method for diagnosing radial deformation faults in transformer windings by analyzing terminal impedance measurements, enabling effective detection and severity assessment based on capacitance changes.


3. A non-iterative analytical approach for estimating series-capacitance in transformer windings solely from terminal measured frequency response data

  • Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal

  • Year: 2025

  • DOI: 10.1016/j.epsr.2024.111086

  • Source: Electric Power Systems Research

  • Summary: This research proposes a non-iterative analytical method to estimate the series capacitance of transformer windings using only terminal frequency response data, simplifying the estimation process and improving accuracy.


4. Accurate Estimation of Transformer Winding Capacitances and Voltage Distribution Factor Using Driving Point Impedance Measurements

  • Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal

  • Year: 2024

  • DOI: 10.1109/ACCESS.2024.3460968

  • Source: IEEE Access

  • Summary: The study introduces an innovative methodology for precisely estimating winding capacitances and the voltage distribution factor using driving point impedance measurements, enhancing transformer modeling and analysis.


5. A Symbolic Expression for Computing the Driving Point Impedance and Pole-Zero-Gain of a Transformer from its Winding Parameters

  • Authors: K. Lakshmi Prasanna

  • Year: 2023

  • DOI: 10.1109/INDICON59947.2023.10440729

  • Source: 2023 IEEE 20th India Council International Conference (INDICON)

  • Summary: This paper presents a symbolic expression for computing the driving point impedance and pole-zero-gain of a transformer based on its winding parameters, facilitating efficient analysis of transformer behavior.


6. Analytical computation of driving point impedance in mutually coupled inhomogeneous ladder networks

  • Authors: K. Lakshmi Prasanna, Mithun Mondal

  • Year: 2023

  • DOI: 10.1002/cta.3839

  • Source: International Journal of Circuit Theory and Applications

  • Summary: The research introduces a new approach for computing the driving point impedance of inhomogeneous ladder networks with mutual coupling, enhancing the accuracy of electrical network modeling.


7. Analytical formulas for calculating the electrical characteristics of multiparameter arbitrary configurational homogenous ladder networks

  • Authors: K. Lakshmi Prasanna

  • Year: 2023

  • DOI: 10.1002/cta.3547

  • Source: International Journal of Circuit Theory and Applications

  • Summary: This paper presents generalized analytical formulas for computing the electrical properties of multiparameter arbitrary configuration homogeneous ladder networks, aiding in the design and analysis of complex electrical circuits.


8. Terminal Measurements-Based Series Capacitance Estimation of Power Transformer Windings Using Frequency-Domain Subspace Identification

  • Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal

  • Year: 2023

  • DOI: 10.1109/TIM.2023.3311074

  • Source: IEEE Transactions on Instrumentation and Measurement

  • Summary: The study proposes a method for estimating the series capacitance of power transformer windings using frequency-domain subspace identification based on terminal measurements, improving the accuracy of transformer diagnostics.


9. Elimination of Mutual Inductances from the State-Space Model of a Transformer Windingโ€™s Ladder Network Using Eigen Decomposition

  • Authors: K. Lakshmi Prasanna

  • Year: 2022

  • DOI: 10.1109/CATCON56237.2022.10077664

  • Source: 2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)

  • Summary: This paper presents a method to eliminate mutual inductances from the state-space model of a transformer winding’s ladder network using eigen decomposition, simplifying the analysis of transformer dynamics.

10. Internet Of Things (IOT) in Distribution grid using DSTATCOM

  • Authors: K. Lakshmi Prasanna

  • Year: 2019

  • DOI: 10.1109/RDCAPE47089.2019.8979044

  • Source: 2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)

  • Summary: The paper discusses the integration of Internet of Things (IoT) technology with DSTATCOM in distribution grids to improve power factor and enable real-time monitoring, enhancing the efficiency and reliability of power distribution systems.

โœ… Conclusionย 

In conclusion, Dr. K. Lakshmi Prasanna stands as a beacon of innovation, diligence, and academic integrity in the realm of electrical engineering and high voltage research ๐ŸŒŸ. Her journey from a stellar student to a dynamic researcher and dedicated educator is marked by technical excellence, innovative research, and a passion for teaching ๐ŸŽฏ. With deep expertise in MATLAB/Simulink, transformer modeling, and non-intrusive diagnostics, she contributes meaningfully to the future of smart and resilient power systems โšก๐Ÿ’ป. Her collaborative spirit, adaptability to emerging tools, and constant pursuit of knowledge ensure her continued relevance and impact in the scientific community ๐Ÿ“š๐Ÿš€. As she continues to explore new horizons in diagnostics and system modeling, her work promises to empower more efficient and intelligent energy systems of tomorrow ๐Ÿ”‹๐Ÿ”ฌ.

Shakil Ahmed | Engineering | Best Researcher Award

Prof. Shakil Ahmed | Engineering | Best Researcher Award

Assistant Processor, Term at Iowa State University, United States

Shakil Ahmed is an Assistant Teaching Professor in Computer Engineering at Iowa State University (ISU), specializing in AI/ML, cybersecurity, IoT, cloud computing, and advanced networking. With a Ph.D. in Computer Engineering from ISU (2023) and over 2,000 citations across 35+ publications, he leads cutting-edge research on AI-driven solutions, digital twins, and quantum networks. As a principal investigator (PI), he mentors undergraduate, MS, and Ph.D. students while actively securing external grants. His expertise spans reinforcement learning, large language models, explainable AI, and meta-learning, contributing to pioneering advancements in next-gen networking and intelligent systems. ๐Ÿš€๐Ÿ”

Professional Profile

Education & Experience ๐Ÿ“š๐Ÿ‘จโ€๐Ÿซ

  • Ph.D. in Computer Engineering โ€“ Iowa State University (2023) ๐ŸŽ“
  • M.S. in Electrical Engineering โ€“ Utah State University (2019) โšก
  • B.S. in Electrical and Electronic Engineering โ€“ Khulna University of Engineering & Technology, Bangladesh (2014) ๐Ÿ…
  • Assistant Teaching Professor โ€“ Iowa State University (2024โ€“Present) ๐ŸŽ“
  • Researcher & PI โ€“ Leading projects on AI, 6G, cybersecurity, IoT, and digital twins ๐Ÿ”ฌ
  • Advisor & Mentor โ€“ Supervising undergraduate, MS, and Ph.D. students in advanced networking and AI ๐Ÿง‘โ€๐ŸŽ“

Professional Development ๐Ÿ“ˆ๐Ÿง 

Shakil Ahmed actively contributes to AI-driven networking, secure systems, and IoT advancements. He plays a vital role in research funding, securing grants exceeding millions of dollars. As a guest editor at MDPI and reviewer for 150+ articles, he ensures high research standards. His teaching experience spans multiple STEM courses, where he integrates hands-on learning tools like Zybooks and Canvas. He has delivered invited talks on next-gen wireless technologies and collaborates with multidisciplinary teams to shape the future of AI, cloud computing, and quantum networking. His work has significantly impacted academia, research, and industry. ๐Ÿš€๐Ÿ”ฌ๐Ÿ“ก

Research Focus ๐Ÿ†๐Ÿ”

Shakil Ahmedโ€™s research is at the intersection of AI, networking, and cybersecurity, with a focus on:

  • AI/ML & Deep Learning โ€“ Reinforcement Learning (RL), Large Language Models (LLM), Explainable AI (XAI) ๐Ÿค–
  • Cybersecurity & Quantum Networking โ€“ Secure network protocols, quantum neural networks (QNN) ๐Ÿ”’
  • IoT & Cloud Computing โ€“ System design for connected environments, mobile edge computing โ˜๏ธ
  • Digital Twin & 6G+ Networks โ€“ AI-driven tactile internet, smart infrastructure, and futuristic networking ๐ŸŒ๐Ÿ“ก
    His work integrates cutting-edge AI techniques, optimization frameworks, and network simulations to solve real-world challenges.

Awards & Honors ๐Ÿ…๐ŸŽ–๏ธ

  • Professional Development Fund โ€“ Iowa State University ($10,000) ๐Ÿ’ฐ
  • Presidential Fellowship โ€“ Utah State University ($90,000) ๐Ÿ†
  • Best Paper Award โ€“ IEEE International Conference on Informatics, Electronics, and Vision (2016) ๐Ÿฅ‡
  • Graduate & Professional Student Senate Research Award โ€“ ISU ($700) ๐Ÿ“œ
  • ECpE Department Support Grant โ€“ ISU ($600) ๐ŸŽ“
  • Professional Advancement Grant (PAG) โ€“ ISU ($400) ๐ŸŽ–๏ธ
  • Military Communications Conference Student Travel Grants โ€“ 2021 & 2022 ($1,000) โœˆ๏ธ
  • Graduate & Professional Student Council Grant โ€“ ISU ($750) ๐Ÿ…
  • ECE Department Support Grant โ€“ Utah State University ($1,000) ๐Ÿ†

Publication Top Notes

  1. 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions

    • Authors: Mostafa Zaman Chowdhury, Md. Shahjalal, Shakil Ahmed, Yeong Min Jang
    • Journal: IEEE Open Journal of the Communications Society
    • Year: 2020
    • Citation: Chowdhury, M. Z., Shahjalal, M., Ahmed, S., & Jang, Y. M. (2020). 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions. IEEE Open Journal of the Communications Society, 1, 957โ€“975.
  2. Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks

    • Authors: Shakil Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
    • Journal: IEEE Access
    • Year: 2020
    • Citation: Ahmed, S., Chowdhury, M. Z., & Jang, Y. M. (2020). Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks. IEEE Access, 8, 21215โ€“21225.
  3. Energy-Efficient UAV Relaying Communications to Serve Ground Nodes

    • Authors: Shakil Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
    • Journal: IEEE Communications Letters
    • Year: 2020
    • Citation: Ahmed, S., Chowdhury, M. Z., & Jang, Y. M. (2020). Energy-Efficient UAV Relaying Communications to Serve Ground Nodes. IEEE Communications Letters, 24(4), 849โ€“852.
  4. Non-Orthogonal Multiple Access in a mmWave Based IoT Wireless System with SWIPT

    • Authors: Hao Sun, Qiang Wang, Shakil Ahmed, Rose Hu
    • Conference: IEEE Vehicular Technology Conference (VTC Spring)
    • Year: 2017
    • Citation: Sun, H., Wang, Q., Ahmed, S., & Hu, R. (2017). Non-Orthogonal Multiple Access in a mmWave Based IoT Wireless System with SWIPT. In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring) (pp. 1โ€“5).
  5. A Disaster Response Framework Based on IoT and D2D Communication Under 5G Network Technology

    • Authors: Shakil Ahmed, Md Rashid, Farzana Alam, B. Fakhruddin
    • Conference: 2019 29th International Telecommunication Networks and Applications Conference (ITNAC)
    • Year: 2019
    • Citation: Ahmed, S., Rashid, M., Alam, F., & Fakhruddin, B. (2019). A Disaster Response Framework Based on IoT and D2D Communication Under 5G Network Technology. In 2019 29th International Telecommunication Networks and Applications Conference (ITNAC) (pp. 20โ€“25).