Software Engineering of Emerging Technologies

Second International Conference on Software Engineering of Emerging Technologies, SEET 2026, Behrend, PA, USA, August 10–11, 2026, Proceedings, Part I
Erscheinungsjahr 2026
ISBN: 978-3-032-39762-1
Verlag: Springer International Publishing

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

This volume 3125 - 3126 constitutes the refereed proceedings of the Second International Conference on Software Engineering for Emerging Technologies, SEET 2026, held at Behrend, PA, USA during August 10–11, 2026.

The 60 papers included in this book were carefully reviewed and selected from 147 submissions. They were organized into the following topical sections: 

Part 1: Regular Research; Idea and Vision; Short Research Paper; Student Research Competition.

Part 2 : Student Research Competition; Ph.D Research.

Zielgruppe

Research

Autoren/Hrsg.

Hussain, Shahid

Abdul Basit Ur Rahim, Muhammad

Khan, Arif Ali

Khan, Saif Ur Rehman

Inhaltsverzeichnis

.- Regular Research.
.- Dynamics of Artificial Intelligence and Its Impact on Modern Higher Education.
.- Driving Governance and Adoption in Custom Faculty Workload System Integrations within Cloud ERP for Community Colleges.
.- A Gate-Based Quantum Ising Model Approach to Solving KenKen Puzzles Using Binary Encoding.
.- Data Mesh as a Migration Strategy: A Federated Approach to Cloud-Native Data Engineering.
.- AI-Driven Autonomous Data Pipeline Orchestration in Cloud-Native Enterprise Platforms.
.- Engineering and Evaluating a Machine-Learning Monitoring Pipeline for Rare-Event Early Warning: A Reference Architecture and a Four-Layer Evaluation Methodology.
.- Unified DT–FL–DRL–Blockchain Framework for MEC Offloading.
.- Applying Metamorphic Testing to Machine Learning: A Systematic Mapping Study.
.- Anchoring Large Language Models and Digital- Twins in Designing Deeply Personalized mHealth Platforms.
.- Self-Adaptive Swarm-Driven Big Data Pipelines for Dynamic Workload Optimization in Spark Environments.
.- ARQM-LITE: A Small Tool for Requirements Quality Analysis.
.- FlowAttester: Towards a Runtime Flow Attestation Framework in Programmable NeoCloud Networks.
.- Machine Learning Techniques for Predominant Musical Instrument Recognition in Polyphonic Audio: A Survey of Time-Frequency Representations and Deep Learning Architectures.
.- Affective and Behavioral Computing for Autism Spectrum Disorder Detection: A Survey.
.- Indirect Feedback Alignment: A Viable Alternative for Deep Neural Networks Backpropagation.
.- RepoWise: A Conversational Framework for Open Source Repository Analysis with Retrieval-Augmented Generation and Structured Analytics.
.- An Explainable Neuro-Fuzzy Multimodal Fusion Approach for Lightweight Edge-based Plant Disease Detection in Precision Agriculture.
.- Scalable and Interpretable Text Intelligence for Fake News Detection.
.- SA-NET: A Self-Attention Approach for Early and Accurate Skin Cancer Diagnosis Toward Intelligent Dermatology.
.- HERO: Modelling Cost-Energy-Latency Trade-offs in Hybrid Quantum-Classical Cloud Workloads.
.- Engineering Reliable Image-Forgery Localization Systems: A Multi-Dataset Study of Topology-Aware Vision Transform.
.- The Effectiveness of Feedback Design for Improving LLM-based Code Generation in Quantum Optimization Algorithms.
.- Eye-RIS: Design and Evaluation of a Low-Latency Voice-Driven AR System for Real-Time Clinical Document Analysis on Smart Glasses.
.- VALS: A Model-Agnostic Virtual Reality Framework for Real-Time Annotation of 3D Anatomical Models.
.- Traditional anatomy education relies on two dimensional Phishing Attack Detection using Genetic Algorithms and Artificial Neural Networks.
.- A Hybrid-Simulation LoRaWAN Honeypot for Detecting RF and Protocol Attacks against IoT Networks: A Cyber-Electromagnetic Activities Perspective.
.- Generative AI, Agentic AI, MCP, and RAG for Improving Developer Productivity.
.- Large-scale enterprise software development is increasingly Human-Grounded AI-Assisted Software Engineering Education: An Empirical Study of Learning Outcomes.
.- An Empirical Investigation of Soft Skills and Corresponding Challenges in International Software Engineering Education.
.- AI Turning Static Exports into Actionable Health Intelligence.
.- Self-Healing Cloud Infrastructure: Integrating Multi-Agent Reinforcement Learning with Policy-Driven Autonomy for Resilient Enterprise Operations.
.- An Empirical Study of How Publication Context Relates to Repository Maintenance and Community Adoption in AI Research Repositories.
.- Idea and Vision.
.- Development of a Child-Friendly Constraint-Induced Movement Cast Using 3D Scanning and 3D Printing.
.- Intrinsic Training and Compounding Accuracy: Designing AI-Assisted SAS-to-R Migration in Clinical Trials.
.- AI Danger Perception, Ethical Use, and Professional Regulation: A Framework for Algorithmic Alignment and Risk Management.
.- Short Research Paper.
.- Comparative Study of Security Testing Tools for Distributed Web Applications.
.- CASL: A Software Framework for Gesture-Driven, Context-Aware Layout Design in Virtual Reality.
.- Closing the Inconsistency Trap: Unified Cross-Layer Deception via Adversarial LLM Transformation.
.- VirNetMTD: Programmable Moving Target Defense for Virtualized Networks.
.- Resource-Efficient Deep Learning for Type 2 Diabetes Mellitus Prediction: A Comparative Case Study.
.- Student Research Competition.
.- Collaborative Generation of Structural Bug Signatures via Privacy-Preserving Federated Diffusion Models.
.- Empirical Investigation of Cyber Attack Detection.
.- Biologically Plausible Learning in Spiking Neural Networks Using Indirect Feedback Alignment: A study of the implementation of Feedback Alignment methods into Spiking Neural Networks.
.- Enhancing Requirement Analysis with Hybrid AI-Based Question Answering Systems.
.- An Exploratory Machine Learning Approach for Mental-Health Related Text Classification.
.- A Locally Deployed AI Assistant with Natural Language and Symbolic Computation Capabilities.
.- Hyperdimensional Computing on Apple Neural Engine Chips.