Dr.PYDIMARRI PADMAJA

@tkrec.ac.in

PROFESSOR.ECE DEPARTMEN
TEEGALA KRISHNA REDY ENGINEERING COLLEGE

Dr.PYDIMARRI PADMAJA


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https://researchid.co/padmajavattem

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Computer Science Applications, Computer Networks and Communications, Speech and Hearing
19

Scopus Publications

136

Scholar Citations

6

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Scalable and Secure Remote Authentication for Resource-Constrained IoT-Based Smart Homes
    P. Padmaja, Phani Krishna Hari, A. Praneetha, Sivakumar Ponnusamy, Dhiraj Kapila
    Lecture Notes in Electrical Engineering, 2026
  • Enhancing Vegetable Crop Cultivation: Integrating Wireless Sensor Networks and Smartphone Applications for Efficient Irrigation Control
    S. Thanga Ramya, E. Baby Anitha, Narender Chinthamu, Aditya Verma, Suresh Babu Perli
    Technological Applications for Smart Sensors Intelligent Applications for Real Time Strategies, 2025
  • Improved Performance Analysis and Design of Dual Metal Gate FinFET for Low Power Digital Applications
    P. Padmaja, D. Vemana Chary, R. Erigela, G. Sirisha, S. K. ChayaDevi, M. C. Pedapudi, B. Balaji, S. Cheerala, V. Agarwal, Y. Gowthami
    International Journal of Engineering Transactions B Applications, 2024
    A High-K Dielectric Dual Metal Gate FinFET (DMG-FinFET) is proposed in this work to improve the drain current and electrical characteristics of the device. The proposed device employing dielectric materials such as Silicon dioxide, Hafnium oxide and Titanium oxide and investigated in 10 nm technology. The architecture represents a critical advancement in transistor design, addressing challenges posed by traditional high-K gate dielectric materials being HfO2 and TiO2. This work employs a comprehensive approach, incorporating simulation techniques to evaluate the performance metrics of DMG FinFET. This investigation encompasses key aspects being transistor characteristics, power consumption, and reliability. This high-k dielectric (HfO2) Dual material Gate –FinFET device achieving improved performance parameters such as Ion= 32.12 mA, Ioff= 33 μA, Gm(max) = 0.045 S, Gds(max) = 0.024 S and Ron(max) = 32.87 kΩ. Therefore this work is suitable for designing high performance devices with high-k dielectric materials being HfO2 and TiO2. The impact of dual metal gate materials on Ion, Ioff, Gm (max), Gds(max) and Ron(max) is calculated and improved 64% compared to conventional device.
  • Using social networking evidence to examine the impact of environmental factors on social Followings: An innovative Machine learning method
    SVN Murthy, P.S. Ramesh, Pydimarri Padmaja, Bechoo Lal, G.Jagadeeswar Reddy, Narender Chinthamu
    Entertainment Computing, 2024
  • Drain Current Characteristics of 6 H-SiC MESFET with Un-Doped and Recessed Area under the Gate: A Simulation Study
    Pydimarri Padmaja, Radhamma Erigela, D. Venkatarami Reddy, SK Umar Faruq, A. Krishnamurthy, B. Balaji, M. Lakshmana Kumar, Sreevardhan Cheerla, Vipul Agarwal, Y. Gowthami
    Transactions on Electrical and Electronic Materials, 2024
  • A novel framework for optimizing the edge network node for wearable devices
    Mude Sreenivasulu, J. Ashok, Rakesh Kumar Godi, Pydimarri Padmaja, Puneet Kumar Aggarwal, Dhiraj Kapila
    Measurement Sensors, 2023
    The Multi-access edge computing (MEC) server would provide context-aware capabilities. When edge computing uses high-quality computing performance to supplement edge applications with vast IoT-based data services, substantial constraints are placed on the collaboration of edge nodes. Conversely to cloud computing, situational circumstances in the edge network are more complicated. In this paper, we provide a novel Edge Network (EDN) optimization (EDN-Opt) to boost the efficiency of edge computing jobs. In particular, we initially specify the parameters for cooperative assessment through the Internet of Things (IoT). Furthermore, the effectiveness of the proposed architecture is shown using real datasets collected from elderly individuals and various activity trackers. A comprehensive study on QoC intended with EDN is used to assess collaboration effectiveness. The cooperative optimization method developed provides improved efficiency To assess the effectiveness of EDN optimization, the discrepancy between the proposed equivalent and the real equivalent is examined. Investigation in this sector analyses several practical cases. The Spearman rank correlation factor is +1 or −1 when a perfect monotonic association is attained with no identifying data. The examination of this article demonstrates that trials show that our proposed edge cooperation optimization technique can quickly assess the EDN and then provide information on the collaborative relationship's replacement occurrences that can help the EDN's design.
  • Hybrid Fuzzy Rule Algorithm and Trust Planning Mechanism for Robust Trust Management in IoT-Embedded Systems Integration
    Nagireddy Venkata Rajasekhar Reddy, Pydimarri Padmaja, Miroslav Mahdal, Selvaraj Seerangan, Vrince Vimal, Vamsidhar Talasila, Lenka Cepova
    Mathematics, 2023
    The Internet of Things (IoT) is rapidly expanding and becoming an integral part of daily life, increasing the potential for security threats such as malware or cyberattacks. Many embedded systems (ESs), responsible for handling sensitive data or facilitating secure online activities, must adhere to stringent security standards. For instance, payment processors employ security-critical components as distinct chips, maintaining physical separation from other network components to prevent the leakage of sensitive information such as cryptographic keys. Establishing a trusted environment in IoT and ESs, where interactions are based on the trust model of communication nodes, is a viable approach to enhance security in IoT and ESs. Although trust management (TM) has been extensively studied in distributed networks, IoT, and ESs, significant challenges remain for real-world implementation. In response, we propose a hybrid fuzzy rule algorithm (FRA) and trust planning mechanism (TPM), denoted FRA + TPM, for effective trust management and to bolster IoT and ESs reliability. The proposed system was evaluated against several conventional methods, yielding promising results: trust prediction accuracy (99%), energy consumption (53%), malicious node detection (98%), computation time (61 s), latency (1.7 ms), and throughput (9 Mbps).
  • Machine Learningcloud-Based Approach to Identify and Classify Disease
    Brijendra Gupta, Vilas D. Alagdeve, Pydimarri Padmaja, T. Coumaressin, V. Naresh Kumar Reddy, R. Ganesh Kumar
    Mysurucon 2022 2022 IEEE 2nd Mysore Sub Section International Conference, 2022
    The term "Internet of Things" (IoT) describes the process of creating and modeling web-related physical objects across computing systems. IoT-based healthcare applications have offered multiple real-time products and benefits in recent years. For millions of people, these programmers provide hospitalization can get regular medical records and healthy lives. The introduction of IoT devices in the health sector has several technological developments. This study uses the IoT to construct a disease diagnostic system. Wearable sensors in this system initially monitor the patient's sympathy impulses. The impulses are then sent by a network environment to a server. In addition, a new hybrid approach to evaluation decision-making was presented as part of this research. This technique starts with the development of a set of features of the patient's pulses. Based on a learning approach qualifications are neglected. A fuzzy neural model was used as a diagnostic tool. A specific diagnosis of a particular ailment, such as the diagnosis of a patient's normal and abnormal pulse or the assessment of insulin issues, would be modeled to assess this technology.
  • Elite Oppositional Farmland Fertility Optimization Based Node Localization Technique for Wireless Networks
    N. Bharathiraja, Pydimarri Padmaja, S. B. Rajeshwari, Jagadish S. Kallimani, Ahmed Mateen Buttar, T. Bheema Lingaiah
    Wireless Communications and Mobile Computing, 2022
    Wireless networks include a set of nodes which are connected to one another via wireless links for communication purposes. Wireless sensor networks (WSN) are a type of wireless network, which utilizes sensor nodes to collect and communicate data. Node localization is a challenging problem in WSN which intends to determine the geographical coordinates of the sensors in WSN. It can be considered an optimization problem and can be addressed via metaheuristic algorithms. This study introduces an elite oppositional farmland fertility optimization-based node localization method for radio communication networks, called EOFFO-NLWN technique. It is the goal of the proposed EOFFO-NLWN technique to locate unknown nodes in the network by using anchor nodes as a starting point. As a result of merging the principles of elite oppositional-based learning (EOBL) and the agricultural fertility optimization algorithm (FFO), we have developed the EOFFO-NLWN approach, which is described in detail below. The EOBL concept makes it easier to populate the FFO algorithm’s population initialization, which results in an increase in the exploration rate. Various BNs and CRs were tested, and the findings revealed that the EOFFO-NLWN technique outperformed all other known techniques in all cases. A comprehensive experimental result analysis of the EOFFO-NLWN technique is performed under several measures, and the results described the sovereignty of the EOFFO-NLWN method associated to existing techniques.
  • Distribute the message over the network using another frequency and timing technique to circumvent the jammers
    Journal of Nuclear Energy Science and Power Generation Technology, 2021
  • Certain Investigation on Secured Data Transmission in Wireless Sensor Networks
    P. Padmaja, G.V. Marutheswar
    Sensor Technology Concepts Methodologies Tools and Applications, 2020
  • Design and implementation of a new routing algorithm for fault tolerance in network
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Minimizing energy consumption based on neural network in clustered wireless sensor networks
    N. Vadivelan, A. Ramamurthy, P. Padmaja
    Journal of Computational and Theoretical Nanoscience, 2019
  • Energy efficient data aggregation in wireless sensor networks
    P. Padmaja, G.V. Marutheswar
    Materials Today Proceedings, 2018
  • Detection of milicious node in wireless sensor networks
    P. Padmaja, G. V. Marutheswar
    2017 International Conference on Computer Communication and Informatics Iccci 2017, 2017
  • Detection of malicious node in wireless sensor network
    P. Padmaja, G.V. Marutheswar
    Proceedings 7th IEEE International Advanced Computing Conference Iacc 2017, 2017
  • Certain investigation on secured data transmission in wireless sensor networks
    P. Padmaja, G.V. Marutheswar
    International Journal of Mobile Computing and Multimedia Communications, 2017
  • Optimization of wireless sensor network
    P. Padmaja, G.V. Marutheswar
    International Conference on Electrical Electronics and Optimization Techniques Iceeot 2016, 2016
  • Secured data aggregation in wireless sensor networks
    International Journal of Applied Engineering Research, 2016

RECENT SCHOLAR PUBLICATIONS

  • IOT Based Automatic Ploughing, Seeding And Watering Robot
    TS Vandana, KS Reddy, S Nagireddy, P Padmaja, P Rashmitha, ...
    International Conference on Computer Science and Communication Engineering … , 2025
    2025
  • IOT Based Bike Transportation Safety System
    P Padmaja, PB Sri, N Vikas, S Nithin, S Lakpathi
    International Conference on Computer Science and Communication Engineering … , 2025
    2025
  • Scalable and Secure Remote Authentication for Resource-Constrained IoT-Based Smart Homes
    P Padmaja, PK Hari, A Praneetha, S Ponnusamy, D Kapila
    International Conference on Microelectronics, Electromagnetics and … , 2025
    2025
  • Enhancing Vegetable Crop Cultivation: Integrating Wireless Sensor Networks and Smartphone Applications for Efficient Irrigation Control
    C Choubey, N Chinthamu, P Padmaja, S Bhattacharya
    Technological Applications for Smart Sensors, 409-426 , 2025
    2025
  • SMART BATTERY MANAGEMENT SYSTEM FOR ELECTRIC VEHICLES USING IOT
    DRPP SANGISHETTI LAVANYA
    Journal of Interdisciplinary Cycle Research 17 (9), 80 , 2025
    2025
  • SUSTAINABLE DIGITAL LOGIC DESIGN WITH RAM ON KINTEX AND XA SPARTAN
    DPP KAMMAMPATI VANAJA
    The International journal of analytical and experimental modal analysis 17 … , 2025
    2025
  • A compendium of paediatric dermatoses with emphasis on seasonal significance in a tertiary care centre: a cross sectional study.
    MR Shree, KG Sree, BS Rani, P Padmaja, R Madhurima
    2025
  • Hybrid Adaptive Framework for Enhanced Weather Prediction Using Machine Learning
    B Harichandana, K Ramanjaneyulu, RR Chaudhari, R Soni, YA Mergiaw, ...
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
    Citations: 2
  • Predictive health monitoring using random forest and shap: A machine learning framework for enhanced patient insights
    A Devendran, B Lal, AR Prasad, S Ramachandra, A Kindie Awuraris, ...
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
    Citations: 2
  • Optimizing Wireless Power Transfer for Battery-Free IoT Devices using Ant Colony Optimization
    M Bhatnagar, N Chinthamu, P Padmaja, M Vaigundamoorthi
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
  • Comparative Study of Spatial and Frequency DomainImage Steganography Techniques on Grayscale Images
    P Padmaja, T Rajeshwari
    Disruptive technologies in Computing and Communication Systems, 308-312 , 2024
    2024
    Citations: 2
  • Using social networking evidence to examine the impact of environmental factors on social Followings: An innovative Machine learning method
    SVN Murthy, PS Ramesh, P Padmaja, B Lal, GJ Reddy, N Chinthamu
    Entertainment Computing 50, 100659 , 2024
    2024
    Citations: 3
  • Drain Current Characteristics of 6 H-SiC MESFET with Un-Doped and Recessed Area under the Gate: A Simulation Study
    P Padmaja, R Erigela, DV Reddy, SKU Faruq, A Krishnamurthy, B Balaji, ...
    Transactions on Electrical and Electronic Materials 25 (2), 210-217 , 2024
    2024
    Citations: 2
  • Comparative study of spatial and Frequency DomainImage Steganography Techniques on Grayscale Images
    TR Pydimarri Padmaja
    https://www.routledge.com/ , 2024
    2024
  • Improved performance analysis and design of dual metal gate FinFET for low power digital applications
    P Padmaja, CD Vemana, R Erigela, G Sirisha, DSK Chaya, MC Pedapudi, ...
    International Journal of Engineering 37 (6), 1059-1066 , 2024
    2024
    Citations: 5
  • AN INTEGRATED APPROACH TO DIGITAL COMPUTER NETWORKS
    DJSDRKYDPPWCDKSRDIKDKVSSSS Sairam
    2023
  • Hybrid fuzzy rule algorithm and trust planning mechanism for robust trust management in IoT-embedded systems integration
    NVR Reddy, P Padmaja, M Mahdal, S Seerangan, V Vimal, V Talasila, ...
    Mathematics 11 (11), 2546 , 2023
    2023
    Citations: 7
  • A novel framework for optimizing the edge network node for wearable devices
    M Sreenivasulu, J Ashok, RK Godi, P Padmaja, PK Aggarwal, D Kapila
    Measurement: Sensors 27, 100740 , 2023
    2023
  • FACE RECOGNITION AND OTP BASED DOOR UNLOCKING SYSTEM
    DPP Mannam Pallavi, Vanam Shoba Rani, Boddula Varun Tej, Balasani Akhilesh ...
    International Research Journal of Modernization in Engineering Technology … , 2023
    2023
  • GPS based Women Security System using ESP32
    CHR Dr. P. PADMAJA, M. SNEHA , K. PRAVEEN, K. MYNA
    INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 9 (Issue 11), 221-224 , 2023
    2023

MOST CITED SCHOLAR PUBLICATIONS

  • Elite Oppositional Farmland Fertility Optimization Based Node Localization Technique for Wireless Networks
    AMBTBL N. Bharathiraja,Pydimarri Padmaja, S. B. Rajeshwari, Jagadish S ...
    Wireless Communications and Mobile Computing 2022 (5290028), 9 pages , 2022
    2022
    Citations: 33
  • Energy efficient data aggregation in wireless sensor networks
    P Padmaja, GV Marutheswar
    Materials Today: Proceedings 5 (1), 388-396 , 2018
    2018
    Citations: 22
  • Distribute the Message Over the Network Using Another Frequency and Timing Technique to Circumvent the Jammers
    SKLT Dr.Pydimarri Padmaja, E Justin Sophia I, S Hari Charan, S Senthil Kumar
    Journal of Nuclear Energy Science & Power Generation Technology 10 (9), 1-4 , 2021
    2021
    Citations: 17
  • Detection of Malicious Node in Wireless Sensor Network
    P Padmaja, GV Marutheswar
    IEEE,Advance Computing Conference (IACC), 2017 IEEE 7th International, 193-198 , 2017
    2017
    Citations: 9
  • detection of malicious node in wireless sensor network
    DGVM p.padmaja
    INDIAN JOURNAL OF APPLIED RESEARCH 6 (9), 557-561 , 2016
    2016
    Citations: 9
  • Optimization of wireless sensor network
    P Padmaja, GV Marutheswar
    IEEE,Electrical, Electronics, and Optimization Techniques (ICEEOT … , 2016
    2016
    Citations: 8
  • Hybrid fuzzy rule algorithm and trust planning mechanism for robust trust management in IoT-embedded systems integration
    NVR Reddy, P Padmaja, M Mahdal, S Seerangan, V Vimal, V Talasila, ...
    Mathematics 11 (11), 2546 , 2023
    2023
    Citations: 7
  • PWM closed loop controlled multi-output push-pull converter
    K Deepa, PJ Padmaja
    2013 International Conference on Control Communication and Computing (ICCC … , 2013
    2013
    Citations: 6
  • Improved performance analysis and design of dual metal gate FinFET for low power digital applications
    P Padmaja, CD Vemana, R Erigela, G Sirisha, DSK Chaya, MC Pedapudi, ...
    International Journal of Engineering 37 (6), 1059-1066 , 2024
    2024
    Citations: 5
  • RSA Based Secured Image Steganography Using DWT Approach
    EY Kumar, P Padmaja
    Int. journal of Engineering Research and Applications 4 (8), 01-04 , 2014
    2014
    Citations: 5
  • Using social networking evidence to examine the impact of environmental factors on social Followings: An innovative Machine learning method
    SVN Murthy, PS Ramesh, P Padmaja, B Lal, GJ Reddy, N Chinthamu
    Entertainment Computing 50, 100659 , 2024
    2024
    Citations: 3
  • Certain Investigation on Secured Data Transmission in Wireless Sensor Networks
    P Padmaja, GV Marutheswar
    International Journal of Mobile Computing and Multimedia Communications … , 2017
    2017
    Citations: 3
  • Optimization Of Wireless Sensor Networks In Secured Data Aggregation
    P Padmaja, GV Marutheswar, KS Niharika
    International Journal of Electrical and Electronis Engineering Research 7 (2 … , 2016
    2016
    Citations: 3
  • Prevalence of endometrial tuberculosis in infertility cases
    S Sri, N Khannum, P Padmaja, FN Taraporewalla
    International Journal of Science and Research 4 (6), 278-9 , 2015
    2015
    Citations: 3
  • Hybrid Adaptive Framework for Enhanced Weather Prediction Using Machine Learning
    B Harichandana, K Ramanjaneyulu, RR Chaudhari, R Soni, YA Mergiaw, ...
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
    Citations: 2
  • Predictive health monitoring using random forest and shap: A machine learning framework for enhanced patient insights
    A Devendran, B Lal, AR Prasad, S Ramachandra, A Kindie Awuraris, ...
    Proceedings of the 3rd International Conference on Optimization Techniques … , 2024
    2024
    Citations: 2
  • Comparative Study of Spatial and Frequency DomainImage Steganography Techniques on Grayscale Images
    P Padmaja, T Rajeshwari
    Disruptive technologies in Computing and Communication Systems, 308-312 , 2024
    2024
    Citations: 2
  • Drain Current Characteristics of 6 H-SiC MESFET with Un-Doped and Recessed Area under the Gate: A Simulation Study
    P Padmaja, R Erigela, DV Reddy, SKU Faruq, A Krishnamurthy, B Balaji, ...
    Transactions on Electrical and Electronic Materials 25 (2), 210-217 , 2024
    2024
    Citations: 2
  • Secured Data Aggregation In Wireless Sensor Networks
    P Padmaja, GV Marutheswar
    International Journal of Applied Engineering Research 11 (7), 4740-4745 , 2016
    2016
    Citations: 2
  • Minimizing energy consumption based on neural network in clustered wireless sensor networks
    N Vadivelan, A Ramamurthy, P Padmaja
    Journal of Computational and Theoretical Nanoscience 16 (2), 496-502 , 2019
    2019
    Citations: 1