Dr. Dasam Sridevi

@vrsiddhartha.ac.in

Assistant Professor (Selection Grade); Department of English
Siddhartha Academy of Higher Education

Dr. Dasam Sridevi


                        Download Compact PDF  
https://researchid.co/dasamsridevi

EDUCATION

M.A., M.Phil., Ph.D. English

RESEARCH, TEACHING, or OTHER INTERESTS

Literature and Literary Theory, Language and Linguistics, Multidisciplinary, Arts and Humanities
22

Scopus Publications

28

Scholar Citations

3

Scholar h-index

Scopus Publications

  • LIQUID CRYSTALS AND PHOTONICS: MATERIALS, MECHANISMS AND GLOBAL-INDIAN RESEARCH TRENDS
    A. Bindu Madhavi, G. Anuradha, S. Ranjith Kumar, D. Sreedevi
    Zhidkie Kristally I Ikh Prakticheskoe Ispol Zovanie, 2026
  • Artificial Intelligence Driven Adaptive Cryptographic Framework Using Reinforcement Learning (ACFRL) for Intelligent Security Systems
    P. Satyanarayana, Sridevi Dasam, T Mahalakshmi, Arun M, G. V. S. Padma Rao, R. Swathi
    2026 International Conference on Recent Advances in Electrical Electronics Ubiquitous Communication and Computational Intelligence Raeeucci 2026, 2026
    The rapid development of intelligent and networked systems in the Internet of Things (IoT), cyber-physical infrastructures, and autopiloted networks has placed a major burden on the necessity of adaptive, scalable, and context-aware security systems. The old cryptographic algorithms are based on generation of keys and fixed encryption patterns which are ineffective in the changing cyber threats and dynamic communication systems. In solving these issues, this paper presents an Artificial Intelligence Driven Adaptive Cryptographic Framework through reinforcement learning (ACFRL) to solve intelligent security systems. The suggested ACFRL model combines reinforcement learning (RL) agents with minimal cryptographic functionality to allow adjusting the strength of encryption, key size and algorithm parameters in real-time based on network characteristics, threat level, and the availability of device resources. The ACFRL model uses a multi-objective-based reward function to optimise three desired performance factors, which include encryption-decryption latency, energy consumption, and security resilience against adversarial attacks. The simulation outcomes prove that ACFRL has better adaptability and less overhead than the traditional cryptographic tools and non-adaptable AI-aided platforms. The suggested model demonstrates the average increase in energy efficiency of 28-35, the decrease in latency by 22% and the resistance to adaptive and probabilistic attack vectors. Moreover, ACFRL has a high scalability in heterogeneous IoT setups with limited resources. The results confirm the notion that the combination of reinforcement learning and adaptive cryptographic decision-making may provide a substantial improvement to the intelligence, resilience, and autonomy of the next-generation security systems.
  • Rubric-Relational Discourse Modeling with Counterfactual Explainability for Multi-Trait Automated Essay Scoring
    N. Sreedevi, M. Madhusudhan Rao, Sridevi Dasam, Roopa Traisa, Jasgurpreet Singh Chohan, V. Saranya, Ahmed I. Taloba
    International Journal of Advanced Computer Science and Applications, 2026
    Automated Essay Scoring (AES) systems often rely on holistic prediction and show weak alignment with rubric-based human evaluation. Existing deep learning approaches achieve moderate agreement but struggle to model discourse coherence and provide trait-faithful explanations. This study proposes a rubric-aware and discourse-faithful essay scoring framework that integrates contextual embeddings with sentence-level discourse modeling and rubric-specific attention. The framework generates both holistic and trait-level scores, while enabling counterfactual explanation of scoring decisions. Experiments conducted on the Learning Agency Lab – Automated Essay Scoring 2.0 dataset show that the proposed model achieves a Quadratic Weighted Kappa (QWK) of 0.86, Root Mean Square Error (RMSE) of 1.41, and Mean Absolute Error (MAE) of 1.12, outperforming CNN-LSTM, BERT-LSTM, and DeBERTa baselines. QWK evaluates ordinal agreement, while RMSE and MAE measure numerical prediction error. Trait-level performance reaches F1-scores of 0.89 for Content and 0.87 for Grammar, indicating strong rubric alignment. The proposed framework improves scoring reliability, interpretability, and consistency with human grading practices. It is suitable for large-scale educational assessment, formative feedback systems, and intelligent tutoring applications, offering a scalable and explainable solution for multi-trait essay evaluation.
  • Potato Chips and Their Effects on the Well-being of Adolescent Girls
    Yeshita Kothari, Sridevi Dasam, Thummaloor Sreevani, Vadapalli Lakshmi, Madhu Munagala
    Asian Journal of Dairy and Food Research, 2025
    Background: This study investigates potato chip consumption patterns among young female adults (ages 17-22) in South India, examining factors influencing their choices and the associated impacts on health and social behavior. Methods: A quantitative survey was conducted across 24 educational institutions in four South Indian states, with 1,127 participants. The research explored six dimensions: immediate pleasure, energy boost, social bonding, nutritional deficiency, mental health impact and unhealthy eating patterns. Statistical analyses assessed perceptions across age groups, living environments and states. Result: Findings revealed a complex relationship between participants and potato chip consumption. While aware of nutritional deficiencies (mean score 3.42) and potential health risks, participants valued chips for immediate pleasure (3.03) and social bonding (3.14). Perceptions were generally consistent across age groups, except for perceived energy boost (p=0.018). Significant differences were observed across states in immediate pleasure (p=0.019), energy boost (p=0.002) and nutritional deficiency awareness (p less than 0.001), indicating regional influences on consumption patterns. The study highlights the need for targeted, culturally sensitive interventions to promote healthier snacking habits among young female adults in South India, balancing the social appeal of potato chips with long-term health considerations.
  • Improving Students' Speaking Skills in Engineering Colleges Through Task-Based Language Teaching
    Rambabu Basireddi, Sridevi Dasam, Venkata Surya Seshagiri Anumula, Jayasri Suma. V, Ramesh Pettela, Vijaya Kumar. P, Siva Nagaiah Bolleddu, Suvarna Lakshmi. K
    Theory and Practice in Language Studies, 2025
    This paper explains the effectiveness of TBLT in enhancing the speaking skills of engineering undergraduates in select colleges in the East Godavari District of Andhra Pradesh. In the contemporary educational landscape, particularly in Engineering Institutions, strong communication skills are essential for students' professional success. However, Traditional language Teaching Methods often fall short of addressing the practical communication needs of students. TBLT, with its focus on real-world Tasks and communicative competence, offers a promising alternative. The findings reveal that students in the TBLT group improved significantly in their speaking abilities compared to those in the control group, who were taught using traditional techniques. The tasks for the TBLT (Task-Based Language Teaching) sessions were designed to closely align with students’ real-life communication needs, including group discussions, presentations, and interviews. This alignment made the learning process more relevant, practical, and engaging. Furthermore, the TBLT approach fostered a collaborative learning environment, which enhanced students' confidence and reduced anxiety about speaking skills.
  • MSMC: Multi-Spectral Meta Classifier Model for Land Classification
    Ch. Raga Madhuri, Mastan Mohammed Meera Durga, Sridevi Dasam, Bommisetti Triveni
    International Conference on Emerging Trends in Engineering and Technology Icetet, 2025
    This paper proposes an improvised model to classify Remotely Sensed Satellite images by extracting image features using Visual Geometry Group 16 which are then fine-tuned by Support Vector Machine (SVM), Random Forest (RF) and Extreme Gradient Boosting(GB) algorithms and are provided as an input to Long Short-Term Memory classifier. Implementing this approach gives us the lever- age of computing more than 30,000 images by using this algorithm at a faster rate using a lower specification CPU and GPU. Unlike any traditional approach of extracting the features using Visual Geometry Group 16 and then classifying the images based on the features, our proposed approach includes stacking up the features along with the predicted features using the three classifiers. Advantage of the proposed model when compared to the traditional and other referred proposed models, the accuracy has been increased by 4.66%. By just not limiting our model to the terminal-based application a Graphic User Interface was also designed to accept an image from the user and classify it into one of the ten classes of our EuroSAT dataset.
  • Simulation and Implementation of English Speech Recognition by NLP
    K. Kavita, K. Suresh Kumar, Sridevi Dasam, Kiran Sree Pokkuluri
    Integrating Neurocomputing with Artificial Intelligence, 2025
    The use of hybrid deep learning-based voice recognition in oral English practice, in conjunction with multimodal natural language processing education, begins with an introduction to the fundamentals of speech recognition technology. An explanation of the hidden Markov model and its three essential algorithms is provided, followed by the realization of its simulation and use in voice recognition. The system's architecture and essential technologies are presented. First, the text delves into the use of deep learning in natural language processing and recording oral English instruction by specialized instructors. Each person has their own optimal reading time and preferred phrases. In all, there are several individuals. The phrases used are spoken English, so it would be advantageous to provide a course in spoken English to help people enhance their oral communication skills. The findings of the trial indicate a decrease in the accuracy of identification, but a tenfold increase in recognition speed. Another advantage is that the scoring system is equally accurate to the platform system. By validating the feasibility and effectiveness of this approach, it enhances the accuracy of instruction categorization. Attention mechanisms will be utilized to expand this strategy in the future.
  • Detailed Investigation of the Internet of Things in Education
    C. S. Srinivas, Dasam Sridevi, V. Sunitha, M. Ravichand, M. Madhu Sudhan Rao
    Lecture Notes in Networks and Systems, 2025
  • A Compact Quad-band Planar Antenna for LoRa IoT Applications
    Sri Lakshmi Bhargavi Chitturi, Saritha Vanka, Ayesha Muskaan Bandlapalli, Sandhya Thothu, Teja Sri Dasari, Sridevi Dasam
    2025 IEEE International Students Conference on Electrical Electronics and Computer Science Sceecs 2025, 2025
    This work proposes a compact, Quad-band, high-efficiency Long Range (LoRa) planar antenna for IoT applications. LoRa is adopted in several settings: connected cities, smart irrigation, Mechanization, and the biosphere. These proficiencies create LoRa a good and economical option for wireless networking over far distances and in energy-efficient devices for IoT applications. The antenna has dimensions of 80mm X 50mm X 1.6mm. Mainly this antenna operates at four frequencies 0.9, 1.2, 1.8, and 4.9 GHz. The resonant frequency 0.9 GHz is applicable for LoRa Applications, and the remaining frequencies 1.2, 1.8, and 4.9 GHz are applicable for IoT applications.
  • Raspberry Pi: A Cost-Effective System for Real-Time Number Plate Recognition using Rear-View Cameras
    Ravi Raja Akurathi, Venkata Ratna Prabha K, Sridevi Dasam, Yallamandaiah S, Usha Rani M, Aravapalli V Pushpavathi
    Proceedings of the International Conference on Multi Agent Systems for Collaborative Intelligence Icmsci 2025, 2025
    In today's traffic management landscape, precise vehicle identification via number plate detection is vital for road safety and regulatory compliance. This strategy focuses on creating a robust detection system using Raspberry Pi and rear-view cameras for real-time monitoring. Utilizing custom canny edge detection algorithms optimized for Raspberry Pi's computational capabilities ensures accurate number plate recognition(NPR) from live video feeds. Integration of rear-view camera hardware with Raspberry Pi involves setup, configuration, and optimization for seamless communication and enhanced functionality. The paper aims to advance road safety and traffic management through a cost-effective solution for automatic vehicle identification. By combining Raspberry Pi technology with rear-view cameras, the goal is to establish new standards, enabling proactive measures to reduce risks on roads and highways.
  • Simulation of a solar power generation system based on a boost converter using fuzzy logic controller-based mppt
    Rupanjani Venkata Kishore Bobbili, S.N.V.S.K Chaitanya, Prudhvi Narayana Botcha, Naga Venkatesh Dara, Sridevi Dasam, Sundar Samuel Miriyala
    Iop Conference Series Earth and Environmental Science, 2025
  • Innovations in Brain Volume Estimation: A Multi-Method Perspective
    Ravi Raja Akurathi, Yasodha Dadibathina, Namovenkat Bandaru, Ruth Violet Songa, Yallamandaiah S, Sridevi Dasam
    Proceedings of the 2025 3rd International Conference on Inventive Computing and Informatics Icici 2025, 2025
  • PSO-Optimized AlexNet for Automated Sleep Stage Classification using Single-Channel EEG
    Ravi Raja Akurathi, V.N V Satya Vyshnavi, J. Venkata Sai Kumar, V. Gayathri, Judy Simon, Sridevi Dasam
    Proceedings of the 7th International Conference on Intelligent Sustainable Systems Iciss 2025, 2025
  • Prediction of Personality based Rumor Propagation on Social Media using Deep Learning
    Ch. Raga Madhuri, Durga Thokala, Sridevi Dasam, Appana Naga Lakshmi
    2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
  • Enhancement of Network Security in MANETs using Modified Self-Optimization Algorithm (MSFO) for IoT Applications
    S. Parvathi, Sridevi Dasam, D. Srinivas Goud, M Arun, K. N. V.Suresh Varma, V. Gokula Krishnan
    2024 Asian Conference on Intelligent Technologies Acoit 2024, 2024
  • Enhancing Writing Skills with AI: Personalized Feedback Mechanisms for English Learners
    Sridevi Dasam, Padmavathi Goriparthi, Mahesh Manchanda, Pavan Kumar Nowbattula, R. Subhashini, Ponni Valavan M
    2024 International Conference on Artificial Intelligence and Quantum Computation Based Sensor Applications Icaiqsa 2024 Proceedings, 2024
  • Utilization of Dynamic Spectrum for Cognitive Radio Systems Enabled by Smart Sensing
    Sridevi Dasam, Kirana Kumar, V. Asha, S. Naveen Kumar, Navdeep Singh, K. Adnan
    2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences Ic3tes 2024, 2024
  • Precision Localization of Acoustic Beacons Using Active Sonar Systems: An In-Depth Analysis
    P Bhavitha, A Ravi Raja, J Harish, D Anjali, R V H Prasade, Sridevi Dasam
    2024 4th International Conference on Advances in Electrical Computing Communication and Sustainable Technologies Icaect 2024, 2024
  • Enhancing Road Safety and Compliance: A Reliable Number Plate Recognition System on Raspberry Pi with Integrated Rear-View Camera Analysis
    Venkata Ratna Prabha K, Ravi Raja Akurathi, Sridevi Dasam, Yallamandaiah S, Usha Rani M, Aravapalli V Pushpavathi
    Proceedings 2024 4th International Conference on Innovative Sustainable Computational Technologies Cisct 2024, 2024
  • Location of Acoustic Beacon with Passive Sonar system : A Comprehensive Analysis
    Lakshmi Sarvani N, Ravi Raja A, Naga Komala Devi G, Harsha Vardhan N, Sridevi Dasam, Shaik Fayaz Ahamed
    2024 IEEE International Students Conference on Electrical Electronics and Computer Science Sceecs 2024, 2024
  • Enhancemet of Network Security in Mobile Adhoc Networks using USASFO Algorithm for IoT Applications
    K Niharika, Sridevi Dasam, Sucharita M Kandarkar, Arun M, G.V.S. Padma Rao, Dr. V. Gokula Krishnan
    Proceedings of the 5th International Conference on Data Intelligence and Cognitive Informatics Icdici 2024, 2024
  • Enhancement of Network Security in MANETs Using Improved Averaging Self-Optimization Algorithm (IASOA) for IoT Applications
    P. Satyanarayana, G. V. S. Padma Rao, Sridevi Dasam, Arun M, Dingari Kalpana, V. Gokula Krishnan
    3rd IEEE International Conference on Mobile Networks and Wireless Communications Icmnwc 2023, 2023

RECENT SCHOLAR PUBLICATIONS

  • Artificial Intelligence Driven Adaptive Cryptographic Framework Using Reinforcement Learning (ACFRL) for Intelligent Security Systems
    GVSPRRS P. Satyanarayana, Sridevi Dasam, T. Mahalakshmi, A. M
    Recent Advances in Electrical, Electronics, Ubiquitous Communication, and … , 2026
    2026
  • Rubric-Relational Discourse Modeling with Counterfactual Explainability for Multi-Trait Automated Essay Scoring.
    N Sreedevi, MM Rao, S Dasam, R Traisa, JS Chohan, V Saranya, ...
    International Journal of Advanced Computer Science & Applications 17 (2) , 2026
    2026
  • A Comparative Discourse Analysis of Gandhian Philosophy and Ayn Rand’s Objectivism: Ethics, Individualism, Social Responsibility, and Architectural Expression in Literary Texts
    S Rehena, N Mishra, G Sultana, B Deepa, K Samaikya, S Dasam, ...
    Architecture Image Studies 7 (1), 1372-1378 , 2026
    2026
  • Liquid crystals and photonics: Materials, mechanisms and global-Indian research trends.
    D Bindu Madhavi, A., Anuradha, G., Ranjith Kumar, S., & Sreedevi
    Liquid Crystals and Their Applications 26 (1), 5–19. , 2026
    2026
  • Essentials of English Language and Communication
    S Dasam
    AG Publishing House (AGPH Books) , 2025
    2025
    Citations: 1
  • Improving Students' Speaking Skills in Engineering Colleges Through Task-Based Language Teaching
    R Basireddi, S Dasam, VSS Anumula, VJ Suma, R Pettela, PV Kumar, ...
    Theory and Practice in Language Studies 15 (3), 698-705 , 2025
    2025
    Citations: 8
  • A Compact Quad-band Planar Antenna for LoRa IoT Applications
    SLB Chitturi, S Vanka, AM Bandlapalli, S Thothu, TS Dasari, S Dasam
    2025 IEEE International Students' Conference on Electrical, Electronics and … , 2025
    2025
  • A Comparative Analysis of Traditional and Electronic Learning Systems
    M Ravichand, MMS Rao, D Sridevi
    Proceedings of the 1st International Conference on Intelligent Healthcare … , 2025
    2025
  • Enhancemet of Network Security in Mobile Adhoc Networks using USASFO Algorithm for IoT Applications
    K Niharika, S Dasam, SM Kandarkar, GVSP Rao, VG Krishnan
    2024 5th International Conference on Data Intelligence and Cognitive … , 2024
    2024
    Citations: 1
  • Enhancement of Network Security in MANETs using Modified Self-Optimization Algorithm (MSFO) for IoT Applications
    S Parvathi, S Dasam, DS Goud, M Arun, KNVS Varma, VG Krishnan
    2024 Asian Conference on Intelligent Technologies (ACOIT), 1-6 , 2024
    2024
    Citations: 2
  • Exploring the effectiveness of social media in language learning: A comprehensive review
    PK Nowbattula, BM Florence, D Sridevi
    Forum for Linguistic Studies 6 (1), 364-371 , 2024
    2024
    Citations: 3
  • Detailed Investigation of the Internet of Things in Education
    CS Srinivas, D Sridevi, V Sunitha, M Ravichand, M Madhu Sudhan Rao
    International Conference on Innovations in Bio-Inspired Computing and … , 2023
    2023
  • Enhancement of Network Security in MANETs Using Improved Averaging Self-Optimization Algorithm (IASOA) for IoT Applications
    P Satyanarayana, GVSP Rao, S Dasam, D Kalpana, VG Krishnan
    2023 3rd International Conference on Mobile Networks and Wireless … , 2023
    2023
    Citations: 8
  • The Evolution of Coursebook Evaluation Checklists
    MJP Mrs. Gogineni Aswini, Dr. Munagala Madhu Sudhan Rao, Dr. Dasam Sridevi
    Journal of Advanced Zoology 44 (S-2), 2867-2874 , 2023
    2023
  • Feminist Concerns in Nadine Gordimer's My Son's Story
    BR Dr. Dasam Sridevi, Dr. Padmavathi Goriparthi, Mr. Pavan Kumar Nowbattula ...
    Journal of Advanced Zoology 44 (S-2), 2779-2787 , 2023
    2023
  • A Comparative Analysis of Traditional and Electronic Learning Systems and Their Applications in New Education System
    M Ravichand, MMS Rao, D Sridevi
    International Conference on Intelligent Healthcare and Computational Neural … , 2022
    2022
  • Enhancing writing skills in ESL learners through the techniques of scaffolding.
    KVBR Babu, GN Rao, D Sridevi
    2022
    Citations: 4
  • Stupidity and Vanity of the Modern Women in Shobha De’s Socialite Evenings _
    GN Rao, D Sridevi
    Research Journal of English 7 (4), 336-345 , 2022
    2022
  • IELTS Aspirants' Writing Skills: Problems and Suggestions, https://dbdxxb.cn/2022-4-dr-dasam-sridevi/
    DS GN Rao, KVBR Babu, G Mohanacharyulu
    Journal of Northeastern University; https://dbdxxb.cn/ 25 (04), 1910-1915 , 2022
    2022
  • Transition in the Portrayal of Women Characters in Nadine Gordimer's The Lying Days and My Son's Story
    D Sridevi
    New Directions in Post Colonial Literature, 39-43 , 2016
    2016

MOST CITED SCHOLAR PUBLICATIONS

  • Improving Students' Speaking Skills in Engineering Colleges Through Task-Based Language Teaching
    R Basireddi, S Dasam, VSS Anumula, VJ Suma, R Pettela, PV Kumar, ...
    Theory and Practice in Language Studies 15 (3), 698-705 , 2025
    2025
    Citations: 8
  • Enhancement of Network Security in MANETs Using Improved Averaging Self-Optimization Algorithm (IASOA) for IoT Applications
    P Satyanarayana, GVSP Rao, S Dasam, D Kalpana, VG Krishnan
    2023 3rd International Conference on Mobile Networks and Wireless … , 2023
    2023
    Citations: 8
  • Enhancing writing skills in ESL learners through the techniques of scaffolding.
    KVBR Babu, GN Rao, D Sridevi
    2022
    Citations: 4
  • Exploring the effectiveness of social media in language learning: A comprehensive review
    PK Nowbattula, BM Florence, D Sridevi
    Forum for Linguistic Studies 6 (1), 364-371 , 2024
    2024
    Citations: 3
  • Enhancement of Network Security in MANETs using Modified Self-Optimization Algorithm (MSFO) for IoT Applications
    S Parvathi, S Dasam, DS Goud, M Arun, KNVS Varma, VG Krishnan
    2024 Asian Conference on Intelligent Technologies (ACOIT), 1-6 , 2024
    2024
    Citations: 2
  • Essentials of English Language and Communication
    S Dasam
    AG Publishing House (AGPH Books) , 2025
    2025
    Citations: 1
  • Enhancemet of Network Security in Mobile Adhoc Networks using USASFO Algorithm for IoT Applications
    K Niharika, S Dasam, SM Kandarkar, GVSP Rao, VG Krishnan
    2024 5th International Conference on Data Intelligence and Cognitive … , 2024
    2024
    Citations: 1
  • Significance of Professional Development in Teaching and Learning
    D Sridevi
    International Journal of English and Literature (IJEL) 3 (4), 93-98 , 2013
    2013
    Citations: 1
  • Artificial Intelligence Driven Adaptive Cryptographic Framework Using Reinforcement Learning (ACFRL) for Intelligent Security Systems
    GVSPRRS P. Satyanarayana, Sridevi Dasam, T. Mahalakshmi, A. M
    Recent Advances in Electrical, Electronics, Ubiquitous Communication, and … , 2026
    2026
  • Rubric-Relational Discourse Modeling with Counterfactual Explainability for Multi-Trait Automated Essay Scoring.
    N Sreedevi, MM Rao, S Dasam, R Traisa, JS Chohan, V Saranya, ...
    International Journal of Advanced Computer Science & Applications 17 (2) , 2026
    2026
  • A Comparative Discourse Analysis of Gandhian Philosophy and Ayn Rand’s Objectivism: Ethics, Individualism, Social Responsibility, and Architectural Expression in Literary Texts
    S Rehena, N Mishra, G Sultana, B Deepa, K Samaikya, S Dasam, ...
    Architecture Image Studies 7 (1), 1372-1378 , 2026
    2026
  • Liquid crystals and photonics: Materials, mechanisms and global-Indian research trends.
    D Bindu Madhavi, A., Anuradha, G., Ranjith Kumar, S., & Sreedevi
    Liquid Crystals and Their Applications 26 (1), 5–19. , 2026
    2026
  • A Compact Quad-band Planar Antenna for LoRa IoT Applications
    SLB Chitturi, S Vanka, AM Bandlapalli, S Thothu, TS Dasari, S Dasam
    2025 IEEE International Students' Conference on Electrical, Electronics and … , 2025
    2025
  • A Comparative Analysis of Traditional and Electronic Learning Systems
    M Ravichand, MMS Rao, D Sridevi
    Proceedings of the 1st International Conference on Intelligent Healthcare … , 2025
    2025
  • Detailed Investigation of the Internet of Things in Education
    CS Srinivas, D Sridevi, V Sunitha, M Ravichand, M Madhu Sudhan Rao
    International Conference on Innovations in Bio-Inspired Computing and … , 2023
    2023
  • The Evolution of Coursebook Evaluation Checklists
    MJP Mrs. Gogineni Aswini, Dr. Munagala Madhu Sudhan Rao, Dr. Dasam Sridevi
    Journal of Advanced Zoology 44 (S-2), 2867-2874 , 2023
    2023
  • Feminist Concerns in Nadine Gordimer's My Son's Story
    BR Dr. Dasam Sridevi, Dr. Padmavathi Goriparthi, Mr. Pavan Kumar Nowbattula ...
    Journal of Advanced Zoology 44 (S-2), 2779-2787 , 2023
    2023
  • A Comparative Analysis of Traditional and Electronic Learning Systems and Their Applications in New Education System
    M Ravichand, MMS Rao, D Sridevi
    International Conference on Intelligent Healthcare and Computational Neural … , 2022
    2022
  • Stupidity and Vanity of the Modern Women in Shobha De’s Socialite Evenings _
    GN Rao, D Sridevi
    Research Journal of English 7 (4), 336-345 , 2022
    2022
  • IELTS Aspirants' Writing Skills: Problems and Suggestions, https://dbdxxb.cn/2022-4-dr-dasam-sridevi/
    DS GN Rao, KVBR Babu, G Mohanacharyulu
    Journal of Northeastern University; https://dbdxxb.cn/ 25 (04), 1910-1915 , 2022
    2022