Dr RADHA SEELABOYINA

@gcet.edu.in

Associate Professor
Geethanjali College of Engineering and Technology

Dr RADHA SEELABOYINA


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https://researchid.co/radha.seelaboyina

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Science Applications, Computer Vision and Pattern Recognition, Artificial Intelligence
11

Scopus Publications

40

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Machine Learning-Enhanced Multiscale Computational Framework for Optimizing Thermoelectric Performance in Nanostructured Materials
    Udit Mamodiya, Indra Kishor, P. Satish Reddy, K. Lakshmi Kalpana, Radha Seelaboyina, Harish Reddy Gantla
    Computers Materials and Continua, 2026
    The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application is limited because of the challenge of ensuring a balance between the microstructural features at the quantum, mesoscale, and continuum scales. Current computational and machine-learning methods have a small design space, wherein few to no interactions between the electronic structure, phonon transport, and device-level are considered. This makes it difficult to discover stable high-figure of merit (ZT) settings that are manufacturable and strong in the actual working environment. This study presents a multiscale hybrid optimization framework that combines first-principles descriptors, synthetic microstructure optimization, machine-learning surrogate modeling, Finite Element Method (FEM)-based transport modeling and optimization, and an uncertainty-sensitive reinforcement-learning optimization framework. The results of the performance improvements are compared with those of physics-only, ML-only, and recent optimization baselines using hybrid thermoelectric. The integrated framework offers an accuracy of 97.2%–95.8% in predicting the transport coefficients and offering 18%–32% ZT improvements from the baselines. The optimized configurations remained stable under ±10% fabrication-style perturbations, confirming that the discovered designs were not fragile numerical artifacts. The proposed approach provides a valuable solution for finding a reliable way to obtain high-ZT, fabrication-tolerant thermoelectric designs, which opens the way to accelerated material discovery and the design of next-generation thermoelectric (TE) devices.
  • The Double-Edged Sword of Sustainability: Lithium-ion Batteries, Environmental Impacts and Opportunities for Improvement
    Gurram Shravya, Radha Seelaboyina, Shravya Adarapu
    E3s Web of Conferences, 2025
    This comprehensive study investigates the multifaceted impacts of LIBs(LIBs) and sustainable framework for repurposing used LIBs. The rapid proliferation of LIBs in electric vehicles and consumer electronics has raised concerns about their environmental footprint, disposal implications, and resource depletion. To address these issues, this paper aims to evaluate various technologies that facilitate an environmentally friendly method for prolonging battery life cycles. A systematic process for collecting, assessing, and refurbishing batteries will be developed to identify potential secondary uses such as home energy storage systems, backup power solutions, and small-scale renewable energy projects. The study will investigate the environmental consequences of LIB manufacturing and disposal, including electronic waste generation, resource depletion, and contamination risks, and explore the role of repurposed LIBs in reducing e-waste and conserving resources, this research seeks to contribute significantly To advance environmentally friendly battery management practices and foster a more circular economy, the research aims to provide valuable insights. These findings will have significant implications for various sectors, including industries, policymakers, and consumers. By promoting sustainable development, the research seeks to eliminate the impact of LIBs(LIBs) on the environment.
  • Smart Farming Innovations: AI-Enabled Automation and IoT-Driven Seeding, Monitoring for Efficient Paddy Cultivation
    Radha Seelaboyina, Tatiparthi Sunny, Rajashekar Reddy Samula
    Lecture Notes in Electrical Engineering, 2025
  • Secure Software Development Life Cycle: An Approach to Reduce the Risks of Cyber Attacks in Cyber Physical Systems and Digital Twins
    Radha Seelaboyina, Sai Prakash Chary Vadla, Sree Alekhya Teerthala, Veena Vani Pedduri
    Lecture Notes in Electrical Engineering, 2024
  • Different Thresholding Techniques in Image Processing : A Review
    Radha Seelaboyina, Rajeev Vishwakarma
    Lecture Notes in Electrical Engineering, 2023
  • Humanizing AI: The Importance of Effective Communication Skills in the Age of Automation
    Radha Seelaboyina, Mudith Reddy Gudipelly, Maramamula Sai Sri Vishnu
    5th IEEE International Conference on Cybernetics Cognition and Machine Learning Applications Icccmla 2023, 2023
    Artificial intelligence (AI) has introduced new opportunities and difficulties to a number of businesses. However, the value of communication skills has been largely ignored in the focus on AI and its capabilities. In the age of AI, communication skills are crucial for allowing human-AI contact, addressing ethical problems, and encouraging effective AI adoption. This research article attempts to highlight the significance of communication skills in these contexts. In order to create AI systems that interact with people, the article first looks at the communication gap between humans and AI and the requirement for effective communication skills. It emphasizes human communication skills' significance in establishing trust with non-technical stakeholders and encouraging adoption of complicated AI concepts. After that, the study explores the ethical issues raised by AI and how strong communication skills are required to solve them. It emphasizes the significance of explaining the potential effects of AI on employment, privacy, and security as well as the necessity for responsible development and implementation of AI systems. The paper also underlines the importance of good communication skills in encouraging the use of AI. It underlines how crucial it is to convince stakeholders and employees of the advantages of AI, win their support, and handle change as AI systems are implemented. This study article emphasizes the crucial value of communication abilities in the era of AI in its conclusion. It highlights the necessity for businesses to understand these abilities are necessary to navigating opportunities and obstacles, and to engage in their development.
  • Feature Extraction for Image Processing and Computer Vision—A Comparative Approach
    Radha Seelaboyina, Rajeev Vishwkarma
    Cognitive Science and Technology, 2022
  • Sophisticated Embedding of Artificial Intelligence Techniques in Biomedical Engineering
    Puja S. Prasad, G. Soma Sekhar, Seelaboyina Radha
    Lecture Notes in Networks and Systems, 2022
  • Research on Student's Performance in Virtual Courses in the context of Artificial Intelligence
    Radha Seelaboyina, K. Durga Kalyani, Chandrakala, E. Swapna, P. Sobha Rani
    2022 IEEE North Karnataka Subsection Flagship International Conference Nkcon 2022, 2022
    We live in an artificial intelligence era. Virtual reality is an example of artificially intelligent technology. In every field, technology is opening up new possibilities. We will investigate research on student performance in virtual courses in the context of artificial intelligence in this research article A virtual learning environment is one in which the instructor and the learners are divided in time, and space. Course content is delivered using IT applications, digital materials, the Internet, video conferencing, and other technologies.
  • Independent Women Being Compassionate Towards Corporate Commitment
    S. Rajeswari, Seelaboyina Radha, K. Durga Kalyani, Botla Mamatha
    E3s Web of Conferences, 2021
    Increasing in opportunities for women has changed the world which fills workspace culture gap in several sectors. Empowering women is one of the most pressing criteria for economic and social needs of a nation. The study focuses on contributions of women in corporate sector and sustaining active engagement in their personal life. Women disruptions to employment, stimulating deeper thinking with targeted business actions and self-management brings the most possible change in society. The findings show that women have developed considerable effect on the academic front whereas ever-increasing work pressure is urging working women to spend less time for themselves. Women contributions in corporate sector is extremely important for prosperity and success of nations that make an incredible progress across the globe. The methods suggest that creating an envisioned process to improve gender parity in society by capitalizing human talents will make a better work place for women. This dearth of women in corporate boardrooms definitely steers the accountability. Results show that the presence of women in management positively with commitment and leadership affects significant untapped source of executive talent leading the way in decision and policy making.
  • Dimensionality reduction-supervised and `unsupervised approaches for facial recognition
    International Journal of Advanced Science and Technology, 2020

RECENT SCHOLAR PUBLICATIONS

  • Machine Learning-Enhanced Multiscale Computational Framework for Optimizing Thermoelectric Performance in Nanostructured Materials
    Radha Seelaboyina, Harish Reddy Gantla, Udit Mamodiya, Indra Kishor,P ...
    Computers, Materials & Continua, 1-30 , 2026
    2026
  • ETHICAL HACKING
    RDMAY Radha Seelaboyina , Sukhi, G. Hemanth Kumar Yadav Suneetha Bobbillapati
    NTL Publications https://www.amazon.in/dp/B0GFV4RTT6 1, 331 ISBN :978 … , 2026
    2026
  • Machine Learning-Driven Polymer Composite Smart Skin for Integrated Sensing in Soft Robotic Systems
    Radha Seelaboyina, Harish Reddy Gantla, Muthukumar Subramanian., M ...
    Journal of Polymer & Composites. 14 (01), 121-136 , 2026
    2026
  • AI-Driven Deepfake Detection: A Sequential Learning Approach with LSTM
    SK Radha Seelaboyina, Karnati Mysanthosh, K. Sri Vishnu Kshiraj
    ICRDICCT 2025(International Conference on Research and Development in … , 2026
    2026
  • Bridging Vision and Language: A CNN-Transformer Model for Image Captioning
    CYR Radha Seelaboyina, Naveen Rampa, Alle Sai Shivanandha
    ICRDICCT -2025(1st International Conference on Research and Development in … , 2026
    2026
  • ML-Driven Defect Detection in Additive Manufacturing of Polymer Composites Using Thermal Imaging
    Radha Seelaboyina,Harish Reddy Gantla, Vadakattu Prabhakar, Harish Chandra ...
    Journal of Polymer and Composites 13 (06), 201-215 , 2025
    2025
  • The Double-Edged Sword of Sustainability: Lithium-ion Batteries, Environmental Impacts and Opportunities for Improvement
    SA Gurram Shravya, Radha Seelaboyina
    E3S Web of Conferences ,International Conference on Civil, Environmental and … , 2025
    2025
  • Smart Farming Innovations: AI-Enabled Automation and IoT-Driven Seeding, Monitoring for Efficient Paddy Cultivation
    R Seelaboyina, T Sunny, RR Samula
    International Conference on Computational Intelligence in Machine Learning … , 2025
    2025
  • APILogGuard: A Dynamic API Logging and Monitoring System for Security Events
    KBK Dr. Radha Seelaboyina, Adepu Rahul, Abburi Bhavya Sri
    International Journal of Emerging Technologies and Innovative Research (www … , 2025
    2025
  • Blockchain Technology in Logistics and Supply Chain Management A Bibliometric and Co-Citation Analysis
    R Seelaboyina, M Govindaraj, MR Sirisha, S Sathyakala, SZ Rashid, ...
    ITM Web of Conferences, (ICSICE-2025) 76 (02008), 11 , 2025
    2025
  • Modified Artificial Bee Colony Optimization with SVM for Optimize the Selection and Classification of Heart Disease
    Dr. Radha Seelaboyina V.Sahiti Yellanki Neelima Gogineni Sireesha JastiBigul ...
    The Bioscan 19 (1), 338-343 , 2024
    2024
  • Enhance Image Quality with CAS-CNN: A Deep Convolutional Neural Network for Compression Artifact Suppression
    RSDRAH Khan
    Journal of Electrical Systems 20 (6s), 2432-2443 , 2024
    2024
  • Network Attack Detection Using Machine Learning
    BBS S. Radha , . G Sai Asritha
    International Journal of Science & Engineering Development Research 9 (Issue … , 2024
    2024
  • Enhancing Cyber Attack Resilience Using Machine Learning
    CHS S. Radha ,K. Aakanksha,G. Dhruti
    International Journal of Science & Engineering Development Research 9 (Issue … , 2024
    2024
  • Secure software development life cycle: an approach to reduce the risks of cyber attacks in cyber physical systems and digital twins
    R Seelaboyina, SPC Vadla, SA Teerthala, VV Pedduri
    International Conference on Computational Intelligence in Machine Learning … , 2024
    2024
  • Humanizing AI: The Importance of Effective Communication Skills in the Age of Automation
    R Seelaboyina, MR Gudipelly, MSS Vishnu
    2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine … , 2023
    2023
  • Impact of Metaverse on e-Learning Domain-A Survey
    PS Prasad, G Lokeshwari, A Shivajyothi, R Seelaboyina
    JOURNAL OF TECHNICAL EDUCATION 46 (4), 113-117 issn: 0971-3034 , 2023
    2023
  • Humanizing AI: The Importance of Effective Communication Skills in the Age of Automation
    R Seelaboyina, MR Gudipelly, MSS Vishnu
    2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine … , 2023
    2023
    Citations: 5
  • A FAST AND ROBUST COLOUR IMAGE ENCRYPTION SCHEME USING HUFFMAN COMPRESSION, 5D CHAOTIC MAP AND DNA ENCODING
    RSDRAH Khan
    Journal of Data Acquisition and Processing 38 (3), 3826-3844 , 2023
    2023
  • Research on Student's Performance in Virtual Courses in the context of Artificial Intelligence
    R Seelaboyina, KD Kalyani, E Swapna, PS Rani
    2022 IEEE North Karnataka Subsection Flagship International Conference … , 2023
    2023
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Different thresholding techniques in image processing: A review
    R Seelaboyina, R Vishwakarma
    ICDSMLA 2021: Proceedings of the 3rd International Conference on Data … , 2023
    2023
    Citations: 23
  • Humanizing AI: The Importance of Effective Communication Skills in the Age of Automation
    R Seelaboyina, MR Gudipelly, MSS Vishnu
    2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine … , 2023
    2023
    Citations: 5
  • Secure software development life cycle: an approach to reduce the risks of cyber attacks in cyber physical systems and digital twins
    R Seelaboyina, SPC Vadla, SA Teerthala, VV Pedduri
    International Conference on Computational Intelligence in Machine Learning … , 2022
    2022
    Citations: 4
  • Feature extraction for image processing and computer vision—A comparative approach
    R Seelaboyina, R Vishwkarma
    Proceedings of the International Conference on Cognitive and Intelligent … , 2022
    2022
    Citations: 4
  • Research on Student's Performance in Virtual Courses in the context of Artificial Intelligence
    R Seelaboyina, KD Kalyani, E Swapna, PS Rani
    2022 IEEE North Karnataka Subsection Flagship International Conference … , 2023
    2023
    Citations: 2
  • Independent Women Being Compassionate Towards Corporate Commitment
    S Rajeswari, S Radha, KD Kalyani, B Mamatha
    E3S Web of Conferences 309, 01013 , 2021
    2021
    Citations: 2
  • Machine Learning-Enhanced Multiscale Computational Framework for Optimizing Thermoelectric Performance in Nanostructured Materials
    Radha Seelaboyina, Harish Reddy Gantla, Udit Mamodiya, Indra Kishor,P ...
    Computers, Materials & Continua, 1-30 , 2026
    2026
  • ETHICAL HACKING
    RDMAY Radha Seelaboyina , Sukhi, G. Hemanth Kumar Yadav Suneetha Bobbillapati
    NTL Publications https://www.amazon.in/dp/B0GFV4RTT6 1, 331 ISBN :978 … , 2026
    2026
  • Machine Learning-Driven Polymer Composite Smart Skin for Integrated Sensing in Soft Robotic Systems
    Radha Seelaboyina, Harish Reddy Gantla, Muthukumar Subramanian., M ...
    Journal of Polymer & Composites. 14 (01), 121-136 , 2026
    2026
  • AI-Driven Deepfake Detection: A Sequential Learning Approach with LSTM
    SK Radha Seelaboyina, Karnati Mysanthosh, K. Sri Vishnu Kshiraj
    ICRDICCT 2025(International Conference on Research and Development in … , 2026
    2026
  • Bridging Vision and Language: A CNN-Transformer Model for Image Captioning
    CYR Radha Seelaboyina, Naveen Rampa, Alle Sai Shivanandha
    ICRDICCT -2025(1st International Conference on Research and Development in … , 2026
    2026
  • ML-Driven Defect Detection in Additive Manufacturing of Polymer Composites Using Thermal Imaging
    Radha Seelaboyina,Harish Reddy Gantla, Vadakattu Prabhakar, Harish Chandra ...
    Journal of Polymer and Composites 13 (06), 201-215 , 2025
    2025
  • The Double-Edged Sword of Sustainability: Lithium-ion Batteries, Environmental Impacts and Opportunities for Improvement
    SA Gurram Shravya, Radha Seelaboyina
    E3S Web of Conferences ,International Conference on Civil, Environmental and … , 2025
    2025
  • Smart Farming Innovations: AI-Enabled Automation and IoT-Driven Seeding, Monitoring for Efficient Paddy Cultivation
    R Seelaboyina, T Sunny, RR Samula
    International Conference on Computational Intelligence in Machine Learning … , 2025
    2025
  • APILogGuard: A Dynamic API Logging and Monitoring System for Security Events
    KBK Dr. Radha Seelaboyina, Adepu Rahul, Abburi Bhavya Sri
    International Journal of Emerging Technologies and Innovative Research (www … , 2025
    2025
  • Blockchain Technology in Logistics and Supply Chain Management A Bibliometric and Co-Citation Analysis
    R Seelaboyina, M Govindaraj, MR Sirisha, S Sathyakala, SZ Rashid, ...
    ITM Web of Conferences, (ICSICE-2025) 76 (02008), 11 , 2025
    2025
  • Modified Artificial Bee Colony Optimization with SVM for Optimize the Selection and Classification of Heart Disease
    Dr. Radha Seelaboyina V.Sahiti Yellanki Neelima Gogineni Sireesha JastiBigul ...
    The Bioscan 19 (1), 338-343 , 2024
    2024
  • Enhance Image Quality with CAS-CNN: A Deep Convolutional Neural Network for Compression Artifact Suppression
    RSDRAH Khan
    Journal of Electrical Systems 20 (6s), 2432-2443 , 2024
    2024
  • Network Attack Detection Using Machine Learning
    BBS S. Radha , . G Sai Asritha
    International Journal of Science & Engineering Development Research 9 (Issue … , 2024
    2024
  • Enhancing Cyber Attack Resilience Using Machine Learning
    CHS S. Radha ,K. Aakanksha,G. Dhruti
    International Journal of Science & Engineering Development Research 9 (Issue … , 2024
    2024