Although the title of question asked seems weird. Its been a time I have stayed out of touch with research. I have been building on the basics of the above topics. I am looking for recent research topics to work or collaborate on any of the above topics.
Wishing you all a HAPPY NEW YEAR 2025.
Looking forward for the support and good wishes
Dear Neeraj Gupta,
some ideas for current research topics to address the problems you have mentioned can be found at:
Intelligent IoT - Replicating human cognition in the Internet of Things
https://www.researchgate.net/publication/380376116
See these figures:
Fig. 1: Generelle logical multilayer architecture of the IoT
Fig. 2: Importance of Cloud Computing, Fog Computing and Edge Computing in the IoT
Fig. 4: Logical model of human cognition – i.e. the process of information processing in the human brain
Fig. 5: Logical model of Distributed CAC (Context-Aware Computing) in the IIoT – illustrates the replication of human cognition using distributed information processing
Best regards and good luck in the new year
Anatol Badach
Recent research opportunities in cloud computing include exploring frameworks for optimizing multi-cloud architectures to enhance workload distribution and seamless integration, developing AI-driven methods for energy-efficient cloud data centers, and investigating the scalability and security of serverless architectures integrated with edge computing. Additionally, blockchain’s role in enhancing data security and auditing within cloud storage presents an interesting avenue. In machine learning and data science, promising topics involve advancing explainable AI (XAI) for transparency in decision-making, addressing privacy challenges in federated learning, and leveraging AI for social good, such as disaster prediction or healthcare improvements. Research on AutoML for real-time applications and ethical data science focusing on bias detection is also gaining traction. In the Internet of Things (IoT), key areas include developing smart city systems for traffic and energy management, employing blockchain for IoT security, and researching sustainable energy solutions for powering IoT devices. Other impactful topics include real-time IoT data analytics for predictive maintenance and wearable IoT devices in healthcare. Within networks, cutting-edge research topics cover 5G and 6G technologies, particularly network slicing and resource allocation, as well as the use of software-defined networking (SDN) for dynamic traffic management. Quantum communication networks and AI-driven network optimization are also gaining attention, alongside green networking to minimize energy consumption throu
In cloud computing, there exists a necessity to create latency-aware and bandwidth-efficient data migration techniques for dynamic multi-cloud settings, scalable fault-tolerant mechanisms for real-time applications, and compliance-aware data management strategies for cross-border legislation. In machine learning and data science, key areas include enhancing model generalizability through the integration of domain-specific knowledge, developing robust bias-mitigation strategies for underrepresented demographics, and formulating efficient federated learning frameworks with better communication efficiency and adversarial strength. For IoT, research should concentrate on energy-efficient protocols for large-scale, heterogeneous networks, scalable blockchain-based frameworks for safe and decentralized data sharing, and lightweight authentication methods for devices with limited resources. In networks, vital topics involve optimizing resource allocation for network slicing in 5G and IoT integration, creating proactive intrusion detection systems for software-defined networks, and ensuring ultra-low latency and high dependability in 5G-enabled IoT communication frameworks.
To know more: https://researchbrains.com/
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