Trending Computer Science Research Topics for PhD

Hot Research and Thesis Topics in Internet of Things (IoT) for Masters and PhD

With the rapid advancements in the information society, numerous applications generate a large volume of data at high speed, including click-streams, network traffic data, stock data, Internet of Things (IoT) data stream, and so on. The research directions in handling the vast amount of IoT data streams generated by the variety of devices have opened great ways for innovative applications across different fields.

• IOT Enabling Technologies
• Service-oriented IoT Architecture
• Middleware Technologies for IoT
• Routing Protocols for IoT
• Mobility-aware RPL for Mobile IoT
• Securing RPL Routing Protocol in IoT
• Congestion Control Mechanisms in COAP Protocol
• DTLS Security for COAP Protocol
• Security Mechanisms for COAP Protocol
• Design and Analysis of MQTT Protocol
• Security Mechanisms for MQTT Protocol
• Data Access Control Framework for IoT
• DDoS Attack Detection in the IoT
• Identity-based Encryption in the IoT
• Lightweight Authentication for the IoT
• Ultra-Low-Power Sensing Framework for IoT
• Industrial IoT
• Edge Computing for Industrial IoT
• 6TiSCH Communication Architecture in Industrial IoT
• Big Data Management for IoT
• Internet of Vehicles
• Internet of Everything
• Federated learning for IoT
• Internet of Electric Vehicles
• Internet of Medical Things
• Satellite IoT
• IoT Cybersecurity
• IoT Future Internet Design
• IoT Enabled Business Models
• Context-Aware Computing for IoT
• IoT with Next Generation Wireless Systems
• IoT with Edge Computing
• IoT with Fog Computing
• IoT with Blockchain
• Internet of Underwater Things
• IoT Smart Applications
• Privacy Preserving Data Collection in the IoT
• Deep Reinforcement Learning for IoT
• Predictive Maintenance for Effective Resource Management in Industrial IoT
• Internet of Multimedia Things

Latest Research and Thesis Topics in Machine Learning for Masters and PhD

Machine learning has become a key component in providing potential benefits in the research area of Artificial Intelligence. The algorithmic decision-making ensures the penetration of automated decisions for the dynamically changing, massive, and variety of data modalities in every aspect of human life. The advancements in machine learning algorithms and the combination of the algorithms help to improve the classification, regression, and clustering outcomes.

• Natural Language Processing Algorithms and Applications
• Federated Learning for Natural Language Processing
• Federated Learning for Healthcare Data Analytics
• Machine Learning for Cyber Security
• Federated Learning for Cyber Security
• Machine Learning in Evolutionary Computation
• Machine Learning Methods for Pattern Recognition
• Recent Advances in Deep Recurrent Neural Networks
• Deep Autoencoder Architecture and Applications
• Advanced Deep Learning Methods for Medical Imaging
• Generative Deep Neural Networks
• Deep Neural Networks for Speech Recognition
• Federated Learning for Robotics and Automation
• Deep Neural Networks for Computer Vision
• Deep Learning for Data Stream Processing
• Deep Learning for Time Series Analysis
• Deep Ensemble Learning
• Deep Reinforcement Learning
• Convolutional Neural Networks
• Deep Learning for Malware Detection System
• Federated Learning for Computer Vision
• Federated Learning for Edge Computing
• Deep Learning for Recommendation Systems
• Deep Learning for Opinion Mining
• Federated Learning for Smart City Application
• Medical Machine Learning Algorithms for Healthcare
• Deep Learning for Sentiment Analysis
• Machine Learning for Disease Prediction
• Deep Learning for Intrusion Detection System
• Deep Learning for Intelligent Wireless Networks
• Deep Learning for Big Data Analytics
• Extreme Learning Machines
• Deep Learning for Intelligent Vehicular Networks
• Federated Learning for Vehicular Networks
• Deep Learning for Traffic Congestion Prediction
• Dynamic Neural Networks
• Optimizing and Fine-Tuning the Deep Neural Networks
• Deep Learning for Stock Market Prediction
• Deep Learning for Autonomous Vehicles
• Radial Basis Function Networks
• Long Short-Term Memory Networks
• Restricted Boltzmann Machines
• Self-Organizing Maps
• Personality-aware Recommendation Systems
• Transfer Reinforcement Learning
• Multi-Goal Reinforcement Learning
• Extreme Multi-Label Classification
• Generalized Few-Shot Classification
• Multimodal Deep Learning
• Hierarchical Reinforcement Learning
• Multiple Instance Learning
• Interpretable Machine Learning
• Imitation Learning
• Federated Transfer Learning
• Contextualized Word Representations
• Neural Architecture Search
• Meta-Learning
• Data, Image, and Text Augmentation
• Domain Adaptation for Machine Learning Models
• Representation Learning
• Object Detection With Deep Learning
• Attention Mechanism for Natural Language Processing
• Graph Neural Networks
• Multi-Objective Evolutionary Federated Learning
• Explainable Deep Neural Networks
• Evidential Deep Learning
• Graph Representation Learning
• Research Topics in Graph Convolutional Networks
• Hopfield Neural Networks
• Quaternion Factorization Machines
• Reservoir Computing
• Recurrent Neural Networks for Edge Intelligence
• Federated Learning for Smart Intrusion Detection Systems
• Deep Extreme Classification
• Neural Machine Translation
• Deep Reinforcement Learning for IoT
• Federated Learning for the IoT
• Hyperbolic Deep Neural Networks
• Few-Shot Class-Incremental Learning
• Non-Local Graph Neural Networks
• Deep Learning-based Semantic Similarity
• Deep Contextual Word Embedding Models for Semantic Similarity
• Distributed Active Learning
• Triple Generative Adversarial Network
• Shallow Broad Neural Network
• Pre-training of Deep Bidirectional Transformers for Language Understanding
• Federated Learning for Internet of Vehicles
• Spiking Neural Networks
• Bayesian Neural Networks

Latest Research and Thesis Topics in Digital Forensics for Masters and PhD

In the digital world, the advancements in Web technologies create an opportunity for digital crimes. The digital forensics field has emerged under the admissibility of a legal court of law to trace or investigate electronic evidence. Nowadays, the research topics need to be focused on critically extracting the digital evidence to avoid unjustified decisions with the integration of intelligent computing techniques.

• Forensic Investigation Process
• Digital Forensic Readiness
• Criminal Analysis and Prediction using Machine Learning
• Mobile Device Forensics
• Cloud Forensics Investigation Framework
• Evidence Acquisition in Cloud Forensics
• Privacy-Preserving Cloud Forensics Model
• IoT Forensics

Latest Research and Thesis Topics in Cybersecurity for Masters and PhD

Over the decades, the cyber world or internet environment has become popular among people with social interactions. With the rapid adoption of web technology, individuals and organizations easily communicate with each other without great effort from a remote location. The World Wide Web (WWW) often confronts unauthorized access to sensitive data, personal safety risks, and different types of attacks. Hence, it is essential to model cyberspace with security measures to cope with the advancements in the vulnerabilities and threats over the Internet.

• Artificial Intelligence for Cyber Security Threats
• Blockchain Technology for Cyber Security Threats
• Cyber Security for IoT-based Smart Systems
• Federated Learning for Cyber Security Threats
• Intrusion Detection Systems for IoT Applications
• Cybersecurity for Connected Autonomous Vehicles

Latest Research and Thesis Topics in Artificial Intelligence for Masters and PhD

Artificial Intelligence (AI) has become a popular technology in the form of cognitive, social, or emotional intelligence through its humanized, analytical, or human-inspired behaviors. The development of the systems with AI inestimably enhances people’s lives in healthcare, employment, safety, education, homes, transportation, and entertainment. The design of AI-assisted systems also provides unprecedented business opportunities for inventing new business models, intelligent products, and service offerings.

• Uncertainty Modelling
• Knowledge Representation and Reasoning
• Robotics
• Multi-Agent Systems
• Explainable Artificial Intelligence
• Machine Learning and Deep Learning
• Natural Language Processing

Latest Research and Thesis Topics in Blockchain Technology for Masters and PhD

Blockchain technology allows the users to preserve, synchronize, and verify the data in a transaction ledger, increasingly adopted by the financial, healthcare, government, and manufacturing sectors. Blockchain technology emphasizes the revolutions and innovations of artificial intelligence and IoT (IoT) technologies, creating opportunities for all industries with enhanced business processes.

• Blockchain Standards, Software Tools, and Development Platforms
• Protocols and Algorithms for Blockchain
• Smart Contracts in Blockchain
• Consensus Mechanisms in Blockchain
• Blockchain Security for IoT
• Blockchain for Industrial IoT
• Blockchain in Supply Chain Management

Latest Research and Thesis Topics in Metaheuristic Computing for Masters and PhD

   Metaheuristic computing has become a popular optimization method in the scientific community and proved the superior and viable solution to traditional mixed-integer optimization methods. Over the decades, most scientific tasks have increasingly adopted metaheuristic algorithms. The adoption of metaheuristic computing offers a trade-off between the quality of the solution and the computation time by searching for the optimal solutions for complex problems.p>

• Meta-Heuristics for Cloud Computing
• Multi-Objective Metaheuristic Optimization in Cloud Computing
• Meta-heuristics for Scheduling and Load Balancing in Fog Computing
• Metaheuristic for Edge Computing
• Meta-heuristics for Mobile Cloud Offloading
• Metaheuristic Computing for Routing in Wireless Sensor Networks
• Optimization of Routing Protocols in VANET using Metaheuristics
• Metaheuristics for Feature Engineering in Machine Learning

Latest Research and Thesis Topics in Vehicular Ad Hoc Networks (VANET) for Masters and PhD

VANET is a wireless multi-hop network consisting of self-organizing vehicles as mobile nodes. A main constraint of VANET is frequent topology changes due to the high node mobility. With increasing vehicles equipped with computing technologies and smart devices, inter-vehicle communication has become a promising field of research in wireless communication. VANETs provide various applications from entertainment to safety, such as dynamic route prediction with less traffic, blind crossing, lane changing assistance, parking payment, and real-time traffic condition monitoring. Another important application for VANETs is the provision of Internet connectivity to vehicular nodes.

• Federated Learning for Internet of Vehicles
• Artificial Intelligence Techniques for VANET
• Blockchain Models for VANET
• Localization System for VANET
• VANET for Intelligent Transportation Systems
• Security in Service-oriented VANET
• Sybil Attack Detection in VANET
• Opportunistic Routing in VANET
• Congestion Control in VANET
• Internet of Vehicles

Latest Research and Thesis Topics in Wireless Sensor Networks (WSN) for Masters and PhD

In recent years, Wireless Sensor Networks (WSN) have gained considerable attention in different applications involving the military, security, environment, and health. WSN-based solutions have been recognized as promising solutions for smart applications and their powerful capabilities. The research topics in the WSN penetrate a novel way for researchers to develop WSN-based applications and models.

• Clustering Techniques in WSN
• Data Aggregation in WSN
• Energy-efficient MAC protocol for WSN
• Routing Protocols for Underwater Sensor Networks
• Attack Detection and Prevention Schemes in WSN
• Congestion Control in WSN
• Multipath Routing Protocols for WSN
• Energy-efficient Routing Protocols in WSN
• Secure Key Management for WSN
• QoS in Wireless Multimedia Sensor Networks

Latest Research and Thesis Topics in Software-Defined Networks (SDN) for Masters and PhD

Software Defined Networking (SDN) has attracted significant attention from academia and industry. In recent years, service providers, vendors, and network operators have increasingly adopted the SDN paradigm and architecture with programmability characteristics on the control plane and decoupling control and data planes. The SDN research is growing to standardize the SDN for the different infrastructure modeling and implementation concepts.

Latest Research and Thesis Topics in Cloud Computing for Masters and PhD

The business and internet realms have been greatly revolutionized by the Cloud computing technology that impacts the e-commerce, e-learning, and healthcare fields with the advantage of low-cost and high-quality services. In recent years, various research topics, particularly cloud computing technology, have globally expanded with different technologies by integrating the characteristics of the different techniques to provide outstanding performance.

• Federated Cloud Computing
• Cloudlet Computing
• Serverless Computing
• Task Scheduling and Resource Allocation in Cloud Computing
• Load Balancing in Cloud Computing
• Energy Management in Cloud Computing
• Virtual Machine Selection and Placement
• Workflow Scheduling in Cloud Computing
• Multi-Objective Optimization in Cloud Computing
• Game Theory-based Methods for Cloud Computing

Latest Research and Thesis Topics in Fog Computing for Masters and PhD

Fog computing is one of the recent digital innovations in the real world with the potential advantage of providing an ultra-fast response for the end-users with the system privacy by offering the benefits of executing the high computation tasks such as the multimedia streaming and game rendering near the device itself without transferring the data into the cloud servers. The wide variety of research topics in the domain of fog computing assists fog computing researchers in developing energy-efficient fog systems for resource-constrained devices.

• Computational Offloading in Fog Computing
• Scheduling in Fog Computing
• Fog Device Virtualization
• Cloud-fog Collaborations
• Adaptive Fog Computing
• Green Fog Computing
• IoT Data Processing in Fog Computing
• Reliability-aware Fog Computing
• Delay-aware Fog Computing
• Quality of Experience-based Fog Computing
• Context-aware Fog Computing
• Container-based Virtualization in Fog Computing
• Mission-Critical Application Execution in Fog Computing
• Proactive Service Discovery using Fog Computing
• Resource Management and Provisioning in Fog Computing
• Resource Discovery and Selection in Fog Computing
• Resource Monitoring and Allocation in Fog Computing
• Resource Estimation and Sharing in Fog Computing
• Profit-aware Resource Allocation in Fog Computing
• Load Balancing and Migration in Fog Computing
• Dynamic Load Balancing in Fog Computing
• VM Migration for Load Balancing in Fog Computing
• VM Selection and Placement in Fog Computing
• Energy-aware Task Scheduling in Fog Computing
• Energy Efficient Resource Provisioning in Fog Computing
• Energy-aware Load Balancing in Cloud Computing
• Energy-Efficient VM Selection and Placement in Fog Computing
• Application and Service placement in Fog Computing
• Optimization of Task Scheduling in Fog Computing
• Optimization of Resource Allocation in Fog Computing
• Multi-Objective Optimization in Fog Computing
• QoS-aware Control and Monitoring in Fog Computing
• Security and Privacy in Fog Computing

Hot PhD Research and Thesis Topics in Edge Computing for Masters and PhD

  Edge computing provides the desired services to the end-users by enabling the data processing on edge due to the increasing demand for low-cost and high-quality computing services. The significant reduction of the delay during data transmission and traffic or load of the network bandwidth, greatly accomplished by the edge computing technology, guarantees the secure and efficient computation of time-critical applications for intelligent devices

• Reliable Edge Data Analytics
• Privacy in Edge Computing
• Blockchain-based Privacy Preservation in Edge Computing
• Intelligent Edge Computing for Internet of Vehicles
• Computation Offloading in Edge Computing
• Edge Computing Service Orchestration
• Resource Allocation in Edge Computing
• Load Balancing in Edge Computing
• Lightweight Security Architecture in Edge Computing

Latest Research and Thesis Topics in Cloud Security for Masters and PhD

With the rapid and massive adoption of cloud computing technology by individuals and business organizations, Cloud security has become a primary concern in the technological world. The remarkable growth of cloud services potentially impacts data losses, malware injections, insecure Application Programming Interfaces (APIs), and data breaches. The advancements in cloud security research directions are imperative to cope with the growth of cloud computing technology.

• Security for Cloud Infrastructure and Services
• Blockchain Technology for Cloud Security
• Intrusion Detection and Prevention in Cloud
• Deep Learning Solutions for Cloud Security
• Encryption and Key Management in Cloud Security
• Data Integrity and Availability in Cloud Security
• Security Monitoring for Virtual Machines in Cloud
• Secure Data Forwarding in Cloud Storage
• Privacy Preservation in Public Auditing of Cloud Storage

Latest Research and Thesis Topics in Mobile Cloud Computing (MCC) for Masters and PhD

Mobile cloud computing has gained significant attention among mobile users due to the explosive growth of accessing mobile applications over resource-constrained mobile devices. To handle the obstacles in improving the Quality of Service (QoS) of the application, mobile cloud computing models need to be enhanced in the offloading, task scheduling, resource allocation, optimization, and resource management to enable the elastic utilization of the on-demand cloud resources by the mobile users.

• Offloading and Application Partitioning in MCC
• Machine Learning-based Offloading in MCC
• Resource Allocation and Optimization in MCC
• Load Balancing in MCC
• Energy Efficiency in MCC
• Task Scheduling in MCC
• SLA-based Resource Allocation in MCC
• Automatic Resource Management using Machine Learning in MCC

Latest Research and Thesis Topics in Data Mining for Masters and PhD

With the dramatic increase of the information available on the World Wide Web, mining or extracting the potential information from the massive data is a prerequisite. Automated mining of structured, unstructured, and semi-structured data becomes essential in various real-time applications, such as question answering, natural language processing, recommender system, sentiment analysis, and so on.

• Classification and Clustering Algorithms
• Text Mining and Summarization
• Topic Modeling
• Fraud Detection
• Sentiment Analysis in Data Mining
• Graph Mining
• Stream Data Mining
• Recommender Systems in Data Mining
• Time-Series Data Mining
• Multimedia Data Mining

Latest Research and Thesis Topics in Big Data for Masters and PhD

With the rapid proliferation of data-driven decision-making worldwide, the notion of big data has emerged among technological people anywhere. The growing amount of voluminous and variety of digital data increases the difficulties in data analysis and analytics. The big data management and decision-making task demand potential solutions in the different real-time application fields.

• Big Data Analytics
• Big Data Visualization
• Parallel Programming Techniques for Big Data Processing
• Hadoop Programming and Map Reduce Architecture
• Cloud Computing Platforms for Big Data Adaptation and Analytics
• Machine Learning Methods for Big Data
• Security and Privacy Issues in Big Data
• Privacy Preserving Big Data Analytics
• Anomaly Detection in Very Large Scale Systems

Latest Research and Thesis Topics in Mobile Computing for Masters and PhD

Over the past decades, the incredible development of mobile devices such as Smartphones, tablets, and laptops with an internet connection has emerged due to its primary advantage of mobility. Mobile computing is the self-governing computing of the mobile user, often confronted with the limited resource capabilities in the mobile device during the execution of complex tasks or applications. The mobile computing research topics allow the researchers to enhance the computation process of mobile devices.

• Generations of Mobile Communication Technologies
• Applications of Mobile Computing
• Energy-efficient Mobile Computing
• Security-aware Mobile Commerce
• Android Malware Detection
• Privacy-risk Assessment of Mobile Applications

Latest Research and Thesis Topics in Social Networks for Masters and PhD

The social network has become an emerging online communication medium among people over the Internet. The information generated or exchanged between the individuals or groups involves the text, image, audio, and video. Analyzing such social network data and the structure of the social network provides insights into the numerous real-time applications such as customer personalization, marketing, trend prediction, stock market prediction, and so on.

• Contextual Social Network Analysis
• Machine Learning Techniques for Social Media Analytics
• Mining Social Networks
• Social Influence Analysis
• Security and Privacy in Social Networks
• Social Network Personalization and Recommendations for E-Commerce

Latest Research and Thesis Topics in Web Technology for Masters and PhD

With the increasing utilization of Web technology by most individuals and organizations, managing the data and processing over the web-based applications is essential. The developments in web technology focus on creating, delivering, or managing massive web content. To assist the seamless execution of the Web-based applications, handling the dynamically changing the Web data has become a hot research area over the rapid expansion of the data in the society.

• Web Services Modeling and Performance
• Business Process Integration using Web Services
• Resource Management for Web Services
• Security in Web Services
• Semantic Web Technologies
• Knowledge Access and the Semantic Web
• Natural Language Generation from Ontologies

Latest Research and Thesis Topics in Mobile Ad Hoc Networks (MANET) for Masters and PhD

Mobile Ad-hoc wireless NETworks (MANETs) provide a high probability of creating ad-hoc, independent, and temporary networks without supporting any centralized infrastructure. Due to the unpredictable node movement, the MANET nodes provide an unstable topology, and the connection between the nodes can be broken unexpectedly. Thus, the strategies for designing MANET protocols depend on node mobility and scalability. The MANET nodes are free to join and leave the network anytime. The node can join the network when any node is in the radio range of the node. MANET has no secure boundaries, so attacks can easily target it.

• Self-Organizing Network Architectures and Protocols
• Proactive and Reactive Routing Protocols in MANET
• Opportunistic Routing in MANET
• Energy Efficient Routing Protocols in MANET
• Trust And Reputation Based Approaches in MANET
• Intrusion Detection Mechanisms in MANET
• Privacy Preserving Routing in MANET