School of Computer Science Engg and Technology, Bennett University, India

24/09/2026

24/09/2026

Congratulations to Dr. Shahnawaz Ahmad and Dr. Arvind Mewada (Assistant Professors, ) for the publication of the paper, “A Comprehensive Survey on Fog Computing: Architectures, Techniques, Challenges, and Future Directions” in Archives of Computational Methods in Engineering, Springer.
The work forms part of the doctoral research of Ms. Prachi Chaturvedi (PhD Scholar, ), carried out under faculty guidance. The paper synthesizes existing studies to construct a structured taxonomy encompassing architectural models, service abstractions, task scheduling strategies, resource allocation mechanisms, Artificial Intelligence (AI)-enabled optimisation, security solutions, and energy-aware designs. Empirical results reported in the literature indicate that fog-based frameworks demonstrate improvements over prior cloud-centric systems, achieving latency reductions of up to 70%, bandwidth savings approaching 80%, and energy-efficiency improvements ranging from 15% to 50% across diverse domains including smart healthcare, vehicular networks, smart cities, and industrial IoT. Particular attention is given to learning-driven approaches, including Reinforcement Learning (RL) and Federated Learning (FL), which enable adaptive, scalable, and privacy-preserving fog operations. Based on identified research gaps, we propose FogAI-Optimizer, an integrated conceptual framework synthesized from systematic literature evidence that integrates multiple FC architectural and optimisation dimensions, green AI optimisation, edge intelligence, cloud integration, and dataset-driven validation into a cohesive model for next-generation fog systems. The survey concludes by identifying persistent challenges related to scalability, sustainability, and security, and outlines concrete future research directions, including FogAI-Optimizer implementation, Artificial Intelligence of Things (AIoT) integration, and 6 G-enabled fog deployments.
https://link.springer.com/article/10.1007/s11831-026-10579-7

21/09/2026

Congratulations to Dr. Harsh Bhasin (Assistant Professor, ) and Aman Shukla (MCA 2025-2027) for the publication of the paper, “Applicability of Universal Sentence Encoder in Diagnosing Depression” in Smart Trends in Computing and Communications. This work uses text data from the DAIC-WOZ dataset and applies sentence encoders along with heuristic feature selection to develop an efficient, effective, and useful model for depression detection. It affects the lives of the patients, their families, and the vicinity. Text-based depression diagnosis is useful for clinicians for triage and is also computationally challenging owing to its complex nature.
https://link.springer.com/chapter/10.1007/978-3-032-28293-4_40

17/09/2026

Congratulations to Dr. Shahnawaz Ahmad and Dr. Arvind Mewada (Assistant Professors, ) for the publication of the paper, “Engineering interconnected cyber-physical-human systems for IoT applications: a review” in the International Journal of System Assurance Engineering and Management, Springer.
This paper evaluated and analyzed approximately 170 articles (100 journals, 50 conference papers, and 20 reports) related to the importance and limitations of cyber-physical human systems in the IoT ecosystem. In addition, the study incorporated data from 50 IoT devices of different types, along with information on their applications. Additionally, a semi-structured interview was conducted with 10 experts in IoT and engineering cyber-physical human systems, representing diverse industries such as healthcare, transportation, and manufacturing. The interviews aimed to gather insights on the state of IoT and engineering cyber-physical human systems, their applications, and future trends. It aims to underline the unrealized potential of technology and to bring forth difficulties and potential areas for engineering cyber-physical human systems in the IoT ecosystem. The study concludes by discussing essential findings, evaluating previous research and its limitations, and offering suggestions for future work on IoT ecosystem-based engineering of cyberphysical human systems.
https://link.springer.com/article/10.1007/s13198-026-03317-6

15/09/2026

Congratulations to Dr. Simar Preet Singh (Associate Professor, ), Ajit Patel, and Ayush Kumar (B.Tech. CSE 2022-2026 students) for the publication of paper, “GCNShield: Advanced Fraud Detection in Payment Systems Using Graph Convolutional Networks” in the International Conference on Intelligent Systems in Engineering, Secured Systems and Cybersecurity (ICISESSC).

As digital payment systems continue to evolve and grow in scale, fraudsters take advantage and exploit the hidden patterns, making traditional methods insufficient. The study proposes GCNShied, an advanced Graph Convolutional Network (GCN) driven model. This is done by integrating tabular data with topological graph features in order to improve precision and accuracy, helping it outperform baseline models.

https://ieeexplore.ieee.org/document/11542599

14/09/2026

From letters that shaped the map of our nation to stories passed down through generations, Hindi connects us across every corner of India. Let us honor the rich heritage of our language and keep its spirit alive in our thoughts and expressions.
आप सभी को हिन्दी दिवस की हार्दिक शुभकामनाएं!