activity
20202025
most citedUnmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements and Challenges

612 citations · 1.4k across the 36 of their papers we have counts for

collaborators

36 papers

cs.CY2025

Socio-technical aspects of Agentic AI

Praveen Kumar Donta, Alaa Saleh, Ying Li +15

Agentic Artificial Intelligence (AI) represents a fundamental shift in the design of intelligent systems, characterized by interconnected components that collectively enable autono…

quant-ph2025

Quantum Technologies for Beyond 5G and 6G Networks: Applications, Opportunities, and Challenges

Engin Zeydan, Chamitha De Alwis, Rabia Khan +4

As the world prepares for the advent of 6G networks, quantum technologies are becoming critical enablers of the next generation of communication systems. This survey paper investig…

cs.CY2025

Framework, Standards, Applications and Best practices of Responsible AI : A Comprehensive Survey

Thippa Reddy Gadekallu, Kapal Dev, Sunder Ali Khowaja +5

Responsible Artificial Intelligence (RAI) is a combination of ethics associated with the usage of artificial intelligence aligned with the common and standard frameworks. This surv…

cs.HC2024★ 11 cited

Spatial Computing: Concept, Applications, Challenges and Future Directions

Gokul Yenduri, Ramalingam M, Praveen Kumar Reddy Maddikunta +8

Spatial computing is a technological advancement that facilitates the seamless integration of devices into the physical environment, resulting in a more natural and intuitive digit…

cs.CY2023★ 7 cited

Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges

B. Prabadevi, N. Deepa, Nancy Victor +7

With the advent of new technologies and endeavors for automation in almost all day-to-day activities, the recent discussions on the metaverse life have a greater expectation. Furth…

cs.CR2023★ 2 cited

A Comprehensive Analysis of Blockchain Applications for Securing Computer Vision Systems

Ramalingam M, Chemmalar Selvi, Nancy Victor +8

Blockchain (BC) and Computer Vision (CV) are the two emerging fields with the potential to transform various sectors.The ability of BC can help in offering decentralized and secure…

cs.CL2023★ 64 cited

Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions

Gokul Yenduri, Ramalingam M, Chemmalar Selvi G +9

The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machin…

cs.CY2023★ 4 cited

From Assistive Technologies to Metaverse: Technologies in Inclusive Higher Education for Students with Specific Learning Difficulties

Gokul Yenduri, Rajesh Kaluri, Dharmendra Singh Rajput +4

The development of new technologies and their expanding use in a wide range of educational environments are driving the transformation of higher education. Assistive technologies a…

cs.CY2023★ 13 cited

A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions

Ali Kashif Bashir, Nancy Victor, Sweta Bhattacharya +7

Recent technological advancements have considerately improved healthcare systems to provide various intelligent healthcare services and improve the quality of life. Federated learn…

cs.NI2022★ 19 cited

Need of 6G for the Metaverse Realization

Bartlomiej Siniarski, Chamitha De Alwis, Gokul Yenduri +4

The concept of the Metaverse aims to bring a fully-fledged extended reality environment to provide next generation applications and services. Development of the Metaverse is backed…

cs.SE2022

A Multiple Criteria Decision Analysis based Approach to Remove Uncertainty in SMP Models

Gokul Yenduri, Thippa Reddy Gadekallu

Advanced AI technologies are serving humankind in a number of ways, from healthcare to manufacturing. Advanced automated machines are quite expensive, but the end output is suppose…

cs.SE2022★ 2 cited

A Systematic Literature Review of Soft Computing Techniques for Software Maintainability Prediction: State-of-the-Art, Challenges and Future Directions

Gokul Yenduri, Thippa Reddy Gadekallu

The software is changing rapidly with the invention of advanced technologies and methodologies. The ability to rapidly and successfully upgrade software in response to changing bus…

cs.AI2022★ 43 cited

Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions

Rajeswari Chengoden, Nancy Victor, Thien Huynh-The +7

The rapid progress in digitalization and automation have led to an accelerated growth in healthcare, generating novel models that are creating new channels for rendering treatment…

cs.LG2022★ 12 cited

Federated Learning for IoUT: Concepts, Applications, Challenges and Opportunities

Nancy Victor, Rajeswari. C, Mamoun Alazab +5

Internet of Underwater Things (IoUT) have gained rapid momentum over the past decade with applications spanning from environmental monitoring and exploration, defence applications,…

cs.NI2022★ 6 cited

Autonomous Vehicles in 5G and Beyond: A Survey

Saqib Hakak, Thippa Reddy Gadekallu, Swarna Priya Ramu +4

Fifth Generation (5G) technology is an emerging and fast adopting technology which is being utilized in most of the novel applications that require highly reliable low-latency comm…

cs.CR2022★ 59 cited

XAI for Cybersecurity: State of the Art, Challenges, Open Issues and Future Directions

Gautam Srivastava, Rutvij H Jhaveri, Sweta Bhattacharya +7

In the past few years, artificial intelligence (AI) techniques have been implemented in almost all verticals of human life. However, the results generated from the AI models often…

cs.SI2022★ 48 cited

Blockchain for the Metaverse: A Review

Thippa Reddy Gadekallu, Thien Huynh-The, Weizheng Wang +5

Since Facebook officially changed its name to Metaverse in Oct. 2021, the metaverse has become a new norm of social networks and three-dimensional (3D) virtual worlds. The metavers…

cs.NI2021★ 23 cited

Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges

Shen Wang, M. Atif Qureshi, Luis Miralles-Pechuán +3

When 5G began its commercialisation journey around 2020, the discussion on the vision of 6G also surfaced. Researchers expect 6G to have higher bandwidth, coverage, reliability, en…

cs.CR2021

Blockchain for Edge of Things: Applications, Opportunities, and Challenges

Thippa Reddy Gadekallu, Quoc-Viet Pham, Dinh C. Nguyen +6

In recent years, blockchain networks have attracted significant attention in many research areas beyond cryptocurrency, one of them being the Edge of Things (EoT) that is enabled b…

cs.LG2021★ 43 cited

Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions

Thippa Reddy Gadekallu, Quoc-Viet Pham, Thien Huynh-The +6

In the recent years, generation of data have escalated to extensive dimensions and big data has emerged as a propelling force in the development of various machine learning advance…

cs.AI2021★ 66 cited

Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning

Shaashwat Agrawal, Sagnik Sarkar, Mamoun Alazab +3

Federated learning (FL) is a distributed model for deep learning that integrates client-server architecture, edge computing, and real-time intelligence. FL has the capability of re…

cs.CR2021★ 5 cited

Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions

Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi +5

The rapid development of the Internet and smart devices trigger surge in network traffic making its infrastructure more complex and heterogeneous. The predominated usage of mobile…

cs.CR2021★ 89 cited

Security in Next Generation Mobile Payment Systems: A Comprehensive Survey

Waqas Ahmed, Amir Rasool, Neeraj Kumar +4

Cash payment is still king in several markets, accounting for more than 90\ of the payments in almost all the developing countries. The usage of mobile phones is pretty ordinary in…

cs.AI2021★ 34 cited

Genetically Optimized Prediction of Remaining Useful Life

Shaashwat Agrawal, Sagnik Sarkar, Gautam Srivastava +2

The application of remaining useful life (RUL) prediction has taken great importance in terms of energy optimization, cost-effectiveness, and risk mitigation. The existing RUL pred…