Electrical and Electronic Engineering, Multidisciplinary, Education
39
Scopus Publications
481
Scholar Citations
13
Scholar h-index
17
Scholar i10-index
Scopus Publications
A framework for integrating ChatGPT in wireless communication engineering course from basic concepts to Scilab coding V. A. Sankar Ponnapalli, Suresh Babu Baluguri, Bantikatla Himabindu, M. Krishna Chaitanya, M. Zubairuddin, Shahid Tamboli Discover Applied Sciences, 2026 Wireless communication is a classic engineering course in the electronics and communication undergraduate program, and this course also has the potential to create the next generation of industry-ready communication engineers, provided they have a clean understanding of complex communication concepts. That is why this framework aimed to integrate ChatGPT into a wireless communication engineering course to make a new path of innovative and flexible learning through ChatGPT. The prompt developments in generative artificial intelligence have paved the way for innovative teaching methodologies and practices, particularly in higher education. This framework for integrating ChatGPT in wireless communications investigates the potential of utilising generative artificial intelligence tools, specifically ChatGPT, to enhance the teaching and learning experience of the wireless communication course. The proposed framework focuses on improving student engagement, facilitating personalised learning, and making it easier to comprehend complex concepts in wireless communications by integrating ChatGPT. The results indicate that ChatGPT’s responses to user queries are prompt and mostly align with standard textbook concepts of wireless communications. The key focus of this framework is Scilab open-source code generation through ChatGPT, and this leads to effective understanding of wireless concepts easily. The generative artificial intelligence tools heightened the productivity of the learning procedure and empowered educators to concentrate on advanced pedagogical activities. Unlike general discussions on ChatGPT adoption in STEM education, the proposed framework introduces a structured wireless communication laboratory design workflow that integrates artificial intelligence assisted coding with instructor validation checkpoints. A 16.6% improvement in the mean has been observed from pre- to post-translation of the framework.The recommended framework entitlements are that generative artificial intelligence technologies have excessive potential to revolutionise how wireless communication engineering is taught, making the learning skill further interactive, personalised, and competent.
Machine learning-driven advancements in next-generation cognitive radar systems Venkataramana Guntreddi, Dileep Kumar Murala, V. A. Sankar Ponnapalli, M. Krishna Chaitanya, Bhavana Majji, Vasupalli Manoj Discover Applied Sciences, 2026 Cognitive radar systems are an important tool in defense systems and autonomous vehicles because they are able to adapt to changing conditions and constantly enhance performance. Nonetheless, there are usually shortcomings in the efficacies of current radar technologies, their accuracy, and their strength. This paper discusses how it is possible to achieve these challenges to make radar much more effective using Machine Learning (ML). The investigation of significant machine learning methodologies, including supervised learning and deep reinforcement learning, has promise for minimizing clutter, facilitating real-time decision-making, and enhancing radar signal interpretation. Furthermore, we examine the most recent research, methodologies, and technologies that illustrate the application of machine learning in radar systems. This work introduces the Machine Learning-Based Advanced Cognitive Radar System (ML-ACRS), a novel model designed to improve target recognition, environmental adaption, and radar signal processing. We analyze recent advancements and prospective opportunities in cognitive radar technology by evaluating ML-ACRS, aiming to evolve radar systems into more intelligent, adaptive, and resilient entities capable of addressing the intricate operational challenges of the future.
ChainShieldML an intelligent decentralized security framework for next generation wireless sensor networks Dileep Kumar Murala, Shadab Ahmad, V. A. Sankar Ponnapalli, Veera Ankalu Vuyyuru, Eric Hitimana Scientific Reports, 2025 Wireless sensor networks (WSNs) will be necessary for the next generation of Internet of Things (IoT) apps. They make it possible to use smart and long-lasting sensors and smart automation in healthcare, Industry 4.0, and critical infrastructure. But security is particularly hard since they have built-in flaws, not enough computer power, not enough energy, and a significant danger of insider threats. Standard encryption methods aren't enough, and in situations where resources are restricted, heavier blockchain or machine learning solutions aren't always possible. This study presents ChainShieldML, a lightweight hybrid security architecture that combines Blockchain (BC) and machine learning (ML) to provide decentralised, adaptive, and resource-efficient protection for wireless sensor networks (WSNs). The idea is based on a two-pronged defence strategy. The Blockchain Prevention Module's permissionless blockchain architecture for base stations and cluster heads makes it possible to verify identities, maintain trust in a decentralised way, and keep node interactions unchangeable. Smart contracts made in solidity and connected to the Ethereum ecosystem make it possible to safely register nodes and keep an eye on what they do. The VBFT consensus algorithm makes it possible to quickly validate without using as much computing power as most proof of work methods. The machine learning detection module uses the lightweight gradient boosting method (LightGBM) to find and rank dangerous nodes in real time. LightGBM is the best machine learning classifier when looking at things like recall, F1-score, Matthews correlation coefficient, training cost, and inference latency. ChainShieldML dramatically improves the detection of insider attacks, builds trust, and protects data while using very little energy and having very little communication delay, as shown in tests. For Wireless sensor networks (WSNs) to keep working, all of these things are very important. ChainShieldML is a novel solution to keep IoT devices safe. It uses blockchain's decentralised trust and ML's adaptive intelligence to make a defence system for next-generation wireless sensor networks that can grow, is strong, and is ready for the future.
Artificial Intelligence Applications in Healthcare Dileep Kumar Murala, Sandeep Kumar Panda, V.A. Sankar Ponnapalli, Pradosh Kumar Gantayat Adaptive Artificial Intelligence Fundamentals Challenges and Applications, 2025 Artificial Intelligence (AI) uses mathematical methods to make computers think like humans and solve complex medical problems like strange biological events. The fast growth of AI over the last ten years has shown that it could help super-intelligent systems make better decisions. Additionally, this is very useful because the human mind can only handle so much information in a short amount of time. In the early stages, genetic mutations and abnormal protein interactions can be found more accurately using artificial intelligence tools. One of the most important goals of modern biomedical research is to find safe and moral ways to use AI in hospitals. Using AI to help with pathology and medicine makes predicting disease risk, identifying conditions, figuring out prognoses, and making treatment plans easier. Using AI and Machine Learning (ML) to diagnose and treat diseases has much potential to improve medical advice by quickly making it easier to find the best treatment choices for each person. Using an AI-based system method, researchers can work together in real-time and share information online, which could help millions of people. This chapter aims to show off the cutting-edge technology that will change the way centers work in the future. The chapter focused on investigating how AI-based help could greatly assist oncologists in giving exact treatments by combining biology and AI.
The role of scilab open-source software in engineering education and research Progress in Education, 2024
Development of array antenna design algorithms using scilab: An open-source software solution for effective engineering teaching Progress in Education, 2023
Performance Analysis of Maple-Shaped Monopole Multiband Antenna on Various Substrate Materials A. Praveena, G. Umamaheswari, V. A. Sankar Ponnapalli IETE Journal of Research, 2023 The interest for small-size wireless systems has been expanding for quite a few years and this has been made possible by adapting miniaturized antennas with a wide range of performance. Nature-inspired microstrip patch antennas are one of the best solutions to meet the demand for multiband frequencies. A maple-shaped monopole antenna is designed with multiband characteristics and the performance analysis on various substrate materials is carried out. The antenna works over the frequency bands of 3.19 GHz–4 GHz (S-band), 4 GHz–7–17 GHz (C-band), 8.09 GHz–12 GHz (X-band), and 12 GHz–13.81 GHz (Ku-band). The antenna design is simulated using HFSS and obtained the results of return loss, VSWR, gain, and bandwidth. A maximum operating bandwidth of 10.62 GHz and gain of 6.78 dB is achieved with benzocyclobuten as a dielectric substrate and maximum return loss of −57 dB at 8.9 GHz frequency when FR4 epoxy is used. The antenna prototype was made with low-cost FR4 epoxy as a substrate material and tested over the frequency range of 4.27 GHz–14.52 GHz to verify the proposed design. The proposed multiband antenna is suitable for applications in radio altimeters, RADAR, and satellite communications.
A Flexible Wideband Spiral Antenna using Polydimethylsiloxane Substrate for Wearable Applications V. A. Sankar Ponnapalli, Gayam Shivakanth Reddy, Peddi Sree Rohith Goud, Pabba Saharsh, A Praveena 2023 International Conference on Computer Communication and Informatics Iccci 2023, 2023 This work presents a flexible wideband antenna made of transparent polydimethylsiloxane (PDMS) substrate. The proposed antenna’s overall size is $28 \\times 24 \\times l.5 mm3$. The proposed wideband antenna operates from 3. 25GHz to 15GHz and has good gain and an omnidirectional radiation pattern. The Specific Absorption Rate (SAR) values are also calculated when it is fed with a power input of 50mW and the values are found to be below the recommended FCC limit. It has been examined at a few different frequencies 3. 6GHz, 4.2GHz, 4.8GHz, 5. 2GHz, 5.8 GHz, 6.2 GHz, 7.5 GHz, 8.4 GHz, 9.2 GHz, and 10GHz. The maximum achieved gain is 6.56 dB at 3.6 GHz. The performance characteristics of the proposed antenna without bending, while bending and when placed on human tissue are compared.
Implementation of Various Modulation Techniques using Scilab: A User-Friendly Solution Sanjana Mathew, V. A. Sankar Ponnapalli 2022 International Conference on Computer Communication and Informatics Iccci 2022, 2022 COVID 19 situation is a big blow to students specially undergraduates wherein they severely suffered and are restricted to the online classes. Core subjects in electronics and communication engineering requires hardware laboratories wherein the theoretical explanation is made clearer by practical implementations. Analog communication is supposed to be the fundamental core subject of electronics with hardware lab wherein student can have a clear idea of various modulated waveforms. In this situation when all are restricted to homes a user-friendly solution came up, an open-source software tool wherein students and faculties can implement all hardware related experiments easily. Scilab is a replacement for licensed software such as MATLAB with simple syntax which can be easily understood. In this paper scilab codes are developed for various modulation techniques such as amplitude modulation (AM), frequency modulation (FM) and pulse amplitude modulation (PAM) which can be used to make the students comfortable with the concepts of modulation. A feedback survey was taken by the undergraduate students of electronics and communication engineering and it clearly shows that students are interested and comfortable in using scilab programming and wished to use this tool while implementing major project.
A framework for integrating ChatGPT in wireless communication engineering course from basic concepts to Scilab coding VAS Ponnapalli, SB Baluguri, B Himabindu, MK Chaitanya, ... Discover Applied Sciences , 2026 2026
Machine learning-driven advancements in next-generation cognitive radar systems V Guntreddi, DK Murala, VAS Ponnapalli, MK Chaitanya, B Majji, V Manoj Discover Applied Sciences , 2026 2026
Artificial Intelligence Applications in Healthcare DK Murala, SK Panda, VAS Ponnapalli, PK Gantayat Adaptive Artificial Intelligence: Fundamentals, Challenges, and Applications … , 2026 2026 Citations: 1
ChainShieldML an intelligent decentralized security framework for next generation wireless sensor networks DK Murala, S Ahmad, VAS Ponnapalli, VA Vuyyuru, E Hitimana Scientific Reports 15 (1), 42960 , 2025 2025 Citations: 3
The Role of Scilab Open-source Software in Engineering Education and Research VAS PONNAPALLI Progress in Education 83, 149 , 2024 2024
Performance analysis of maple-shaped monopole multiband antenna on various substrate materials A Praveena, G Umamaheswari, VA Sankar Ponnapalli IETE Journal of Research 69 (3), 1233-1240 , 2023 2023 Citations: 6
A flexible wideband spiral antenna using polydimethylsiloxane substrate for wearable applications VAS Ponnapalli, GS Reddy, PSR Goud, P Saharsh, A Praveena 2023 International Conference on Computer Communication and Informatics … , 2023 2023 Citations: 5
Fractal geometry based antennas and arrays: a review S Mathew, VAS Ponnapalli International Journal of Student Project Reporting 1 (3), 232-260 , 2023 2023 Citations: 2
Development of Array Antenna Design Algorithms Using Scilab: An Open-Source Software Solution for Effective Engineering Teaching v a sankar ponnapalli, P A, N Kumar A Progress in Education 75, 205 , 2023 2023
Design of metamaterial based patch antennas for wireless communication v a sankar ponnapalli, Manohar ISBN: 978-620-5-52071-0 , 2023 2023
A review on smart water management in various domestic areas: an approach for water consumption and leakage perspectives S Saiteja, VAS Ponnapalli International Journal of Critical Infrastructures 19 (1), 1-16 , 2023 2023 Citations: 13
7 Observations on VAS Ponnapalli Wireless Communication with Artificial Intelligence: Emerging Trends and … , 2022 2022
4 IoT Based One-to-One Security Web HV Maddiboyina, VAS Ponnapalli, AN Kumar Wireless Communication with Artificial Intelligence: Emerging Trends and … , 2022 2022
Wireless communication with artificial intelligence: Emerging trends and applications A Singal, S Kumar, S Singh, AK Luhach CRC Press , 2022 2022 Citations: 4
IoT Based One-to-One Security Web Application for Smart Home HV Maddiboyina, VAS Ponnapalli, AN Kumar Wireless Communication with Artificial Intelligence, 67-82 , 2022 2022
Observations on Learning and Tracking Challenges of Online Microwave Engineering Teaching VAS Ponnapalli Wireless Communication with Artificial Intelligence 1, 9 , 2022 2022 Citations: 1
A Christ Cross Slotted Antenna for 5G mm Waves Applications GR Kumar, VAS Ponnapalli, P Sireesha, A Praveena 2022 7th International Conference on Communication and Electronics Systems … , 2022 2022 Citations: 2
A Study on the Implementation of Secure VANETs Using FPGA HV Maddiboyina, VA Sankar Ponnapalli, A Naresh Kumar Recent Innovations in Computing: Proceedings of ICRIC 2021, Volume 2, 179-187 , 2022 2022 Citations: 1
Smart antennas: latest trends in design and application PK Malik, J Lu, BTP Madhav, G Kalkhambkar, S Amit Springer , 2022 2022 Citations: 31
Terahertz antenna technology for detection of explosives and weapons: a concise review A Praveena, VAS Ponnapalli, G Umamaheswari Smart antennas: latest trends in design and application, 331-342 , 2022 2022 Citations: 8
MOST CITED SCHOLAR PUBLICATIONS
Microstrip antenna design for wireless applications PK Malik, S Padmanaban, JB Holm-Nielsen CRC Press , 2021 2021 Citations: 73
State of the Art: A Review on Vehicular Communications, Impact of 5G, Fractal Antennas for Future Communication A Rahim, PK Mallik, VAS Ponnapalli Proceedings of First International Conference on Computing, Communications … , 2020 2020 Citations: 34
Fractal Antenna Design for Overtaking on Highways in 5G Vehicular Communication Ad-hoc Networks Environment A Rahim, PK Mallik, VAS Ponnapalli International Journal of Engineering and Advanced Technology (IJEAT) 9 (1S6 … , 2019 2019 Citations: 32
Smart antennas: latest trends in design and application PK Malik, J Lu, BTP Madhav, G Kalkhambkar, S Amit Springer , 2022 2022 Citations: 31
A review on design aspects of fractal antenna arrays A Praveena, VAS Ponnapalli 2019 International Conference on Computer Communication and Informatics … , 2019 2019 Citations: 24
Design of multi-beam rhombus fractal array antenna using new geometric design methodology VA Sankar Ponnapalli, PVY Jayasree Progress In Electromagnetics Research 64, 151-158 , 2016 2016 Citations: 21
Introductory chapter: RF/microwave applications KY You Emerging Microwave Technologies in Industrial, Agricultural, Medical and … , 2018 2018 Citations: 15
Advances in Bioinformatics, Multimedia, and Electronics Circuits and Signals LC Jain, M Virvou, V Piuri, VE Balas Springer Singapore , 2020 2020 Citations: 14
Fuzzy logic based VANETS: A review on smart transportation system HV Maddiboyina, VAS Ponnapalli 2019 International Conference on Computer Communication and Informatics … , 2019 2019 Citations: 14
Study and analysis of fractal linear antenna arrays VS Rao, VAS Ponnapalli IOSR-JECE 5 (2), 23-27 , 2013 2013 Citations: 14
A review on smart water management in various domestic areas: an approach for water consumption and leakage perspectives S Saiteja, VAS Ponnapalli International Journal of Critical Infrastructures 19 (1), 1-16 , 2023 2023 Citations: 13
An investigation on Scilab software for the design of transform techniques and digital filters K Manohar, K Sravani, VAS Ponnapalli 2021 International Conference on Computer Communication and Informatics … , 2021 2021 Citations: 13
Heptagonal Fractal Antenna Array for Wireless Communications VAS Ponnapalli, PVY Jayasree Microelectronics, Electromagnetics and Telecommunications - LNEE Series 372 … , 2016 2016 Citations: 13
Next-generation antennas: advances and challenges P Ranjan, DK Jhariya, M Gupta, K Kumar, P Kumar John Wiley & Sons , 2021 2021 Citations: 12
Advances in computing, communications and informatics (ICACCI) M Wozniak, D Krishnaswamy, C Callegari, H Takagi, NR Prasad, X Que, ... 2015 Citations: 11
A Study on Scilab Free and Open Source Programming for Antenna Array Design VAS Ponnapalli, VB Pusuluri 2020 IEEE International IOT, Electronics and Mechatronics Conference … , 2020 2020 Citations: 10
Mamdani fuzzy-based vehicular grouping at the intersection of roads for smart transportation system HV Maddiboyina, VAS Ponnapalli International Journal of Intelligent Engineering Informatics 7 (2/3), 263-285 , 2019 2019 Citations: 10
Parametric Study and Analysis of Microstrip Patch Antenna with Multiple Slit Positions VAS Ponnapalli, KD Reddy, S Aqeel Carpathian Journal of Electronic and Computer Engineering 13 (1), 1-4 , 2020 2020 Citations: 9
Terahertz antenna technology for detection of explosives and weapons: a concise review A Praveena, VAS Ponnapalli, G Umamaheswari Smart antennas: latest trends in design and application, 331-342 , 2022 2022 Citations: 8
Design and Analysis of Multi Band Fractal Antenna for 5G Vehicular Communication VASP Abdul Rahim, Praveen Kumar Malik Test Engineering and Management 83 (March-April 2020), 26487 - 26497 , 2020 2020 Citations: 8
