With a distinguished teaching career spanning 15 years, Dr. Teerdala has played an instrumental role in shaping the future of aspiring engineers. His teaching journey commenced in 2010 at Abdul Kalam Institute of Technological Sciences, where he served as an Assistant Professor. Over the years, he continued to impart knowledge and mentor students, working as an Assistant Professor at Mallareddy Engineering College for Women, Medchel, and also as a Teaching Assistant at JNTUH Hyderabad. His dedication and expertise have culminated in his current role as an Associate Professor and the Head of the EEE Department at SMEC.
Dr. Rakesh’s research interests encompass a wide range of topics, including FACTS controllers, power electronics applications to power systems, optimization techniques, and power system operation & control. His contributions to the field are evident through his impressive body of work, which includes 2 Indian Patent Publications, 2 Text Books, and 27 National/Internati
EDUCATION
Dr. Rakesh Teerdala is an accomplished professional in the field of Electrical & Electronics Engineering, currently serving as an Associate Professor and the Head of the Electrical & Electronics Engineering Department at SMEC. With a rich educational background and a wealth of teaching experience, Dr. Teerdala has made significant contributions to the academic and research communities. Dr. Rakesh earned his PhD in Power Systems from Jawaharlal Nehru Technological University-Hyderabad in 2018, showcasing his commitment to advanced research and expertise in his field. Prior to his doctoral studies, he completed his Master’s degree, M.Tech in Electrical Power Systems, from the same renowned institution in 2011. His educational journey began with a Bachelor’s degree in Electrical & Electronics Engineering from ADAMS Engineering College, Paloncha in 2009.
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Electrical and Electronic Engineering, Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment
7
Scopus Publications
25
Scholar Citations
2
Scholar h-index
1
Scholar i10-index
Scopus Publications
Design of a distributed power system using solar PV and micro turbine-based wind energy system with a flywheel energy storage Tharinaematam Bhavani, Durgam Rajababu, Md Mujahid Irfan, T. Rakesh, P. Chandra Sekhar, Aymen Flah, Habib Kraiem Scientific Reports, 2026 As renewable energy sources gain distinction in distributed power generation, micro-grid systems integrating solar photovoltaic (PV), micro-turbine-based wind energy, and flywheel energy storage have developed as sustainable solutions. This paper presents a novel design methodology for a hybrid micro-grid system that optimally integrates these components, ensuring enhanced efficiency, resilience, and stability. In a grid outage or weak-grid scenario, a flywheel provides instant backup until wind/solar/storage catches up. The distributed nature ensures that local power supply is maintained, thereby reducing blackout risks. Flywheels avoid chemical waste, unlike batteries. The proposed hybrid micro-grid system represents an innovative approach to distributed power generation in terms of triple energy sources and storage type is in the form of mechanical and the response speed is ultra fast (few milli seconds), fast response time (milliseconds), ideal for voltage/frequency regulation Handling sudden load changes or source fluctuations high reliability due to multiple backups and high sustainability. This hybrid system is suitable for decentralized operation, which allows each unit to make local decisions. This research contributes to advancing micro-grid technology, supporting the transition towards sustainable and resilient energy infrastructures. A key contribution of this work is the design of a fuzzy logic controller (FLC) for dynamic energy management and control of DC–DC converters. Advanced control algorithms (like fuzzy logic, manage real-time source prioritization, power quality regulation, and energy storage control). It enables multi-input, multi-output decision-making that traditional PID or rule-based controllers can’t handle efficiently. Handles nonlinear, variable, and uncertain conditions better than conventional methods. Comparative analysis reveals that the FLC outperforms conventional PID controllers, offering a significantly faster dynamic response and reducing output ripples to a greater extent. This leads to improved power quality, enhanced system life, and optimized energy utilization.
Rasa-Powered Conversational AI Framework for Intelligent Electric Vehicle Trip Planning and Energy Management Phanendra T, Swapna G, Vishnuvardhan M, K V Govardhan Rao, T Rakesh, M Kiran Kumar Indonesian Journal of Electrical Engineering and Informatics, 2025 The rapid growth of Electric Vehicles (EVs) calls for intelligent solutions to optimize grid stability and enhance user experience. This paper proposes a geo-optimized, user-centric EV management system integrating open-source geospatial tools with Rasa-based Natural Language Understanding (NLU). Through an interactive conversational interface, EV owners receive real-time trip planning recommendations based on parameters such as State of Charge (SoC), charging point availability, and route efficiency. The system utilizes APIs for real-time geolocation, charging station data, and Battery Management System (BMS) insights to determine optimal charging locations, durations, and trip costs. Extensive testing demonstrates improved energy management and route planning efficiency, highlighting the system’s potential for smart and sustainable EV infrastructure development.
A versatile three-level CLLC resonant converter for off-board EV chargers with wide voltage adaptability contribution Chandra Babu Guttikonda, Pinni Srinivasa Varma, Malligunta Kiran Kumar, Kambhampati Venkata Govardhan Rao, Rakesh Teerdala, Santoshi Kanagala International Journal of Power Electronics and Drive Systems, 2025 The vehicle-to-grid (V2G) concept has gained significant attention in the last decade due to its potential to enhance direct current (DC) microgrid stability and reliability. Electric vehicles (EVs) play a central role in distributed energy storage systems, optimizing efficiency and enabling the integration of renewable energy sources. This study offers a unique three level CLLC resonant converter developed for off-board EV chargers to promote bidirectional power transfer between DC microgrids and EVs. The suggested converter uses resonant CLLC components and two three-level full bridges to effectively handle a broad range of EV battery voltages (200 V–700 V). To ensure effective power conversion, the first harmonic approximation (FHA) model is used to analyse the converter's resonant frequency characteristics. The proposed system achieves high efficiency (>95%), with voltage stability maintained at 750 V under various load conditions. The converter's performance was validated through MATLAB based simulations, comparing proportional integral (PI) and proportional integral derivative (PID) control strategies. The PID-controlled system demonstrated superior dynamic response, reduced current ripples, and enhanced voltage regulation compared to the PI-controlled system. This study demonstrates the viability of implementing a three-level CLLC resonant converter for efficient, bidirectional, and wide-voltage adaptation in EV charging infrastructure, thereby contributing to grid stability and renewable energy integration.
A Verified Synergistic Deep Learning Framework for Copyrighted Character Recognition Using CNN and Transformer Integration Jeevana Jyoth Pujari, Bikku Thulasi, Kunduru Anusha, Rakesh Teerdala, M Kiran Kumar, K V Govardhan Rao 2025 IEEE 4th World Conference on Applied Intelligence and Computing Aic 2025, 2025 In this paper, we proposed a novel deep learning framework, the Synergistic Deep Learning Model, for recognizing copyrighted characters with heightened accuracy and minimized overfitting. Traditional convolutional neural networks (CNNs) are widely used for image recognition tasks, yet they often suffer from overfitting, which limits their generalizability in complex datasets. Transformers, on the other hand, have shown promising improvements over CNNs, yielding higher accuracy with reduced overfitting; however, they still face challenges in fully minimizing loss in character recognition tasks. To address these limitations, we introduce a Synergistic model that combines the strengths of CNNs and Transformers to create a hybrid architecture aimed at achieving the best of both worlds. This model leverages the spatial feature extraction capabilities of CNNs alongside the contextual learning strengths of Transformers, resulting in a balanced framework that eliminates overfitting, maximizes accuracy, and minimizes loss. Experimental results demonstrate that the Synergistic model outperforms standalone CNN and Transformer models, offering a reliable solution for accurate and robust copyrighted character recognition. This framework has significant implications for improved model performance in character recognition applications, where precision and reduced error rates are crucial.
Grid Integration of Renewable Energy Sources Using GA Technique for Improving Power Quality International Journal of Renewable Energy Research, 2021
GA based PID controller: Design and Optimization Syed Inthiyaz, Rajesh Nalli, T Rakesh, K Subbarao, Sk. Hasane Ahammad, V Rajesh Proceedings of the 6th International Conference on Inventive Computation Technologies Icict 2021, 2021 As evolution in a natural tendency is extensive, in which the optimization technique like Genetic Algorithm (GA) has become the ubiquitous method. Generally, different controllers exist, where in the PI controller is widely used for its characteristics but due to its trial and error-based selection of parameters, where it has faced many challenges in achieving the optimization. So, there requires the search method called GA, which works on the concept of genetics and due to the iterative procedure and method that gives the improved result. The fitness function considered for every generation is based on the three aspects: Selection, crossover and mutation that achieves the optimizing process. Also, optimization is done on the theory of minimum mean square error [MMSE] to obtain the performance evaluation. This paper has implemented a control strategy for GA based PID and compares the proposed method with the classical Zeigler-Nichols [Z-N] method. The time specifications are noted and comparison is made between the proposed and existing method. It is observed that, the proposed method gives quick and accurate response with minimum steady state error.
Mli power topologies and voltage eminence: An exploratory review Rakesh Teerdala Indonesian Journal of Electrical Engineering and Informatics, 2017 Due to their performances and inherent edges, particularly in medium-voltage and dynamic applications, multilevel inverters have received associate degree increasing attention in universe industrial applications. This paper deals with a review of the most structure electrical converter topologies additionally their commonest derived and hybrid structures quoted in previous analysis works. It additionally encompasses associate degree investigation on voltage harmonic elimination and THD estimation. For that reason, the paper summarizes the foremost relevant modulation techniques used to date to boost the output voltage quality. Theoretical formulas elicited within the literature, for calculating the output voltage THD higher and lower bounds area unit reportable and verified by adequate simulations.
RECENT SCHOLAR PUBLICATIONS
Design of a distributed power system using solar PV and micro turbine-based wind energy system with a flywheel energy storage T Bhavani, D Rajababu, MM Irfan, T Rakesh, PC Sekhar, A Flah, ... Scientific Reports , 2025 2025 Citations: 1
Rasa-Powered Conversational AI Framework for Intelligent Electric Vehicle Trip Planning and Energy Management MKK Phanendra T1, Swapna G2, Vishnuvardhan M3, K V Govardhan Rao4, T Rakesh5 Indonesian Journal of Electrical Engineering and Informatics (IJEEI) 13 (4 … , 2025 2025
A Verified Synergistic Deep Learning Framework for Copyrighted Character Recognition Using CNN and Transformer Integration MKK Jeevana Jyoth Pujari,Bikku Thulasi,Kunduru Anusha,Rakesh Teerdala 2025 IEEE 4th World Conference on Applied Intelligence and Computing (AIC) , 2025 2025
High Voltage DC up to 2 KV from AC by using Diode and Capacitor in Voltage Multiplier Circuit Dr T Rakesh1 IN Patent 202,541,032,673 , 2025 2025
Innovative Spatio-Temporal Resolution Adaptation for Video Compression DT Rakesh IN Patent 202541039014 A , 2025 2025
AI Based Dual Axis Solar Tracking System with Weather Sensor DT Rakesh IN Patent 202,541,032,669 A , 2025 2025
A Hybrid Deep Learning and XAI-Driven Framework for Accurate Estimation of Battery SOC AND SOH MKK N Sumana Keerthi 1, B. Jyothi 1, Kalyan D.1, K. V. Govardhan Rao 2 ... International Journal of Basic and Applied Sciences 14 (8), 284-301 , 2025 2025
Configurable FIFO Buffer ASIC Flow with Gate-Level Simulation & Assertions RCR T Rakesh Journal of Science Engineering Technology and Management Science 1 (01), 209-216 , 2024 2024
Control Strategy Research of D-STATCOM Using Active Disturbance Rejection Control Based on Total Disturbance Error Compensation DLDT Rakesh2 The International journal of analytical and experimental modal analysis 15 … , 2023 2023
A FLC Based Control Scheme for PV Systems in Multi machine for Enhancing System Stability VBDT Rakesh2 The International journal of analytical and experimental modal analysis 15 … , 2023 2023
“A Novel Four Level 3-Phase Multilevel Inverter in Low and Medium Power Applications” DTR B Divya1 Journal of Interdisciplinary Cycle Research 15 (Issue XI), pp-557-567 , 2023 2023
A Novel PID Controller Based SAHF for Enhancing Power Quality in Solar Systems DTR G Ramya1 The International journal of analytical and experimental modal analysis 15 … , 2023 2023
Speed Control IM drive with Neural Network based Solar PV Fed Modular Multilevel Inverter in water pumping applications DTR K Suma1 The International journal of analytical and experimental modal analysis, 15 … , 2023 2023
Smart Parking System for Optimized Vehicle Space Allocation Using Sensors, IoT and Edge AI RCR T Rakesh International Journal of Engineering Science and Advanced Technology (IJESAT … , 2023 2023
SENSORLESS VOLTAGE BALANCING IN MULTILEVEL CONVERTERS WITH SYMMETRICAL HALF-BRIDGE SUBMODULES: MODELING AND DESIGN DT Rakesh ResMilitaris 13 (04), 8848-8855 , 2023 2023
CURRENCY RECOGNITION WITH DEEP LEARNING TECHIQUES RCR T Rakesh International Journal of Engineering Research and Science & Technology 18 … , 2022 2022
OPTIMIZED CURRENT CONTROL FOR SMALL-SCALE DC MICROGRIDS USING MULTILEVEL CONVERTERS DT Rakesh Neuroquantology 20 (04), 1792-1797 , 2022 2022
“Calculating the Energy Produced by Solar PV Modules: A New Mathematical Model” DVR Dr T Rakesh1 DogoRangsang Research Journal, 12 (Vol-12 Issue-01) , 2022 2022
“Municipal E-Government Security: Insights from Municipalities in Orange County, California” P Dr T Rakesh1 Journal of Management & Entrepreneurship, 11 (Issue-02) , 2022 2022
“Information System Hosted in the Cloud to Promote Rural Tourism” P Dr T Rakesh1 Journal of Management & Entrepreneurship 11 (Vol-11 Issue-0 1) , 2022 2022
MOST CITED SCHOLAR PUBLICATIONS
“Grid Integration of Renewable Energy Sources Using GA Technique for Improving Power Quality” FA B. Srikanth Goud1, T. Rakesh2, Rajesh Nalli3, Ch. Rami Reddy4, Ch. Naga ... INTERNATIONAL JOURNAL of RENEWABLE ENERGY RESEARCH 11 (03) , 2021 2021 Citations: 18
MLI Power Topologies and Voltage Eminence: An Exploratory Review T Rakesh, V Madhusudhan, M Sushama Indonesian Journal of Electrical Engineering and Informatics (IJEE) 5 (1), 1-15 , 2017 2017 Citations: 2
An Exploration of MLI Topology and Control Techniques T Rakesh, V Madhusudhan, M Sushama, K JNTUH, K JNTUCEH International Electrical Engineering Journal (IEEJ) 7 , 2016 2016 Citations: 2
Design of a distributed power system using solar PV and micro turbine-based wind energy system with a flywheel energy storage T Bhavani, D Rajababu, MM Irfan, T Rakesh, PC Sekhar, A Flah, ... Scientific Reports , 2025 2025 Citations: 1
Distribution Systems Reliability Analysis with Power Quality issues and Neutral Currents Compensation Mistreatment MLI-DSTATCOM T Rakesh, V Madhusudhan, M Sushama i-Manager's Journal on Circuits & Systems 4 (2), 1 , 2016 2016 Citations: 1
A versatile three-level CLLC resonant converter for off-board EV chargers with wide voltage adaptability contribution CB Guttikonda, PS Varma, MK Kumar, KVG Rao, R Teerdala, S Kanagala Int J Pow Elec & Dri Syst ISSN 2088, 8694 , 1777 1777 Citations: 1
Rasa-Powered Conversational AI Framework for Intelligent Electric Vehicle Trip Planning and Energy Management MKK Phanendra T1, Swapna G2, Vishnuvardhan M3, K V Govardhan Rao4, T Rakesh5 Indonesian Journal of Electrical Engineering and Informatics (IJEEI) 13 (4 … , 2025 2025
A Verified Synergistic Deep Learning Framework for Copyrighted Character Recognition Using CNN and Transformer Integration MKK Jeevana Jyoth Pujari,Bikku Thulasi,Kunduru Anusha,Rakesh Teerdala 2025 IEEE 4th World Conference on Applied Intelligence and Computing (AIC) , 2025 2025
High Voltage DC up to 2 KV from AC by using Diode and Capacitor in Voltage Multiplier Circuit Dr T Rakesh1 IN Patent 202,541,032,673 , 2025 2025
Innovative Spatio-Temporal Resolution Adaptation for Video Compression DT Rakesh IN Patent 202541039014 A , 2025 2025
AI Based Dual Axis Solar Tracking System with Weather Sensor DT Rakesh IN Patent 202,541,032,669 A , 2025 2025
A Hybrid Deep Learning and XAI-Driven Framework for Accurate Estimation of Battery SOC AND SOH MKK N Sumana Keerthi 1, B. Jyothi 1, Kalyan D.1, K. V. Govardhan Rao 2 ... International Journal of Basic and Applied Sciences 14 (8), 284-301 , 2025 2025
Configurable FIFO Buffer ASIC Flow with Gate-Level Simulation & Assertions RCR T Rakesh Journal of Science Engineering Technology and Management Science 1 (01), 209-216 , 2024 2024
Control Strategy Research of D-STATCOM Using Active Disturbance Rejection Control Based on Total Disturbance Error Compensation DLDT Rakesh2 The International journal of analytical and experimental modal analysis 15 … , 2023 2023
A FLC Based Control Scheme for PV Systems in Multi machine for Enhancing System Stability VBDT Rakesh2 The International journal of analytical and experimental modal analysis 15 … , 2023 2023
“A Novel Four Level 3-Phase Multilevel Inverter in Low and Medium Power Applications” DTR B Divya1 Journal of Interdisciplinary Cycle Research 15 (Issue XI), pp-557-567 , 2023 2023
A Novel PID Controller Based SAHF for Enhancing Power Quality in Solar Systems DTR G Ramya1 The International journal of analytical and experimental modal analysis 15 … , 2023 2023
Speed Control IM drive with Neural Network based Solar PV Fed Modular Multilevel Inverter in water pumping applications DTR K Suma1 The International journal of analytical and experimental modal analysis, 15 … , 2023 2023
Smart Parking System for Optimized Vehicle Space Allocation Using Sensors, IoT and Edge AI RCR T Rakesh International Journal of Engineering Science and Advanced Technology (IJESAT … , 2023 2023
SENSORLESS VOLTAGE BALANCING IN MULTILEVEL CONVERTERS WITH SYMMETRICAL HALF-BRIDGE SUBMODULES: MODELING AND DESIGN DT Rakesh ResMilitaris 13 (04), 8848-8855 , 2023 2023
Publications
1) T Rakesh “A Hybrid Deep Learning and XAI-Driven Framework for Accurate Estimation of
Battery SOC AND SOH” International Journal of Basic and Applied Sciences, 14 (8) (2025) 284-
301, Website: , (Scopus).
2) T Rakesh “Rasa-Powered Conversational AI Framework for Intelligent Electric Vehicle Trip
Planning and Energy Management” Indonesian Journal of Electrical Engineering and Informatics
(IJEEI), Vol. 13, No. 4, December 2025, pp. 911~922, ISSN: 2089-3272, DOI: 10.52549/ijeei.
(Scopus)
3) T. Rakesh, “Design of a Distributed Power System using Solar PV and Micro Turbine-based
Wind Energy System with a Flywheel Energy Storage” Scientific Reports,
(SCI)
4) Dr. Rakesh Teerdala2, “A versatile three-level CLLC resonant converter for off-board EV
chargers with wide voltage adaptability contribution” International Journal of Power Electronics
and Drive System (IJPEDS), Vol. 16, No. 3, September 2025, pp. 1775~1788, ISSN: 2088-8694,
DOI: 10.11591/ (Scopus)
5) Dr.T RAKESH “Sensor less Voltage Balancing in Multilevel Converters with Symmetrical
Half-Bridge Sub modules: Modeling and Design” Res Militaris European Journal of Military
Studies n°, 4 ISSN: 2265-6294 spring (2023). (Scopus)
DOI:
6) Vathsavai Bindu1 Dr T Rakesh2 “A FLC Based Control Scheme for PV S
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
1. Title of the invention: “Innovative Spatio-Temporal Resolution Adaptation for Video
Compression”
Application 202541039014 A Applied Country: INDIA
Date of filing of Application: 23/04/2025 Publication Date: 16/05/2025
2. Title of the invention: “An Advanced Dual Power Generation Solar Plus Windmills Generator”
Application A Applied Country: INDIA
Date of filing of Application: 02/04/2025 Publication Date: 02/05/2025
3. Title of the invention: “Preparation Of Hallow Bricks Using Waste Plastic”
Application A Applied Country: INDIA
Date of filing of Application: 02/04/2025 Publication Date: 11/04/2025
4. Title of the invention: “High Voltage DC up to 2 KV from AC by using Diode and Capacitor in
Voltage Multiplier Circuit”
Application A Applied Country: INDIA
Date of filing of Application: 02/04/2025 Publication Date: 02/05/2025
5. Title of the invention: “AI Based Dual Axis Solar Tracking System with Weather Sensor”
Application Applied Country: INDIA
Date of filing of Application: 02/04/2025 Publication Date: 25/04/2025
6. Title of the invention: “IOT Based Performance Improvement of Electric Vehicles Energized By
Smart Grids”.
Application A Applied Country: INDIA
Date of filing of Application: 02/01/2021 Publication Date: 29/01/2021
7. Title of the invention: “Single Phase Power Factor Correction Rectifier System with Three Level
Series Modified Capacitor Buck”.
Application
INDUSTRY EXPERIENCE
KAYGEE CONTRACTORS Worked as Site Engineer 06/2010 to 12/2014
