What is he best known for?
The fields of study he is best known for:
- Operating system
- The Internet
- Artificial intelligence
The scientist’s investigation covers issues in Cloud computing, Computer security, World Wide Web, Data mining and Big data.
His Cloud computing research is multidisciplinary, relying on both Ontology, Scalability, Database, Volume and Information privacy.
His Computer security research is multidisciplinary, incorporating elements of Service delivery framework, Web service, Distributed computing and Internet privacy.
The concepts of his World Wide Web study are interwoven with issues in Middleware, Software system and Service.
His work deals with themes such as Interpretability, MNIST database, Deep learning, Exploit and Randomness, which intersect with Data mining.
His research investigates the connection with Big data and areas like Distributed database which intersect with concerns in Real-time computing, Network topology, Symmetric multiprocessor system and Edge computing.
His most cited work include:
- A survey of trust in social networks (428 citations)
- IoT Middleware: A Survey on Issues and Enabling Technologies (337 citations)
- Query processing issues in image (multimedia) databases (238 citations)
What are the main themes of his work throughout his whole career to date?
Surya Nepal mainly investigates Computer security, Cloud computing, World Wide Web, Artificial intelligence and Big data.
Computer security is closely attributed to The Internet in his work.
He interconnects Computer network, Scalability, Database and Information privacy in the investigation of issues within Cloud computing.
His study of Web service is a part of World Wide Web.
His Web service research is multidisciplinary, incorporating perspectives in Service and Knowledge management.
His Data science research extends to the thematically linked field of Big data.
He most often published in these fields:
- Computer security (25.64%)
- Cloud computing (22.61%)
- World Wide Web (11.66%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer security (25.64%)
- Artificial intelligence (10.26%)
- Deep learning (4.90%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Computer security, Artificial intelligence, Deep learning, Encryption and Key.
His work carried out in the field of Computer security brings together such families of science as Android and Cloud computing.
Surya Nepal has included themes like Outsourcing and Inference in his Cloud computing study.
His Artificial intelligence research includes themes of Domain, Backdoor, Machine learning and Pattern recognition.
His Deep learning research incorporates themes from Anomaly detection, Data mining, Differential privacy, Generative model and Data science.
He has researched Key in several fields, including Orchestration and Distributed computing.
Between 2019 and 2021, his most popular works were:
- Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection (59 citations)
- Deep Learning for Community Detection: Progress, Challenges and Opportunities (21 citations)
- Deep Learning for Community Detection: Progress, Challenges and Opportunities (21 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Artificial intelligence
His scientific interests lie mostly in Artificial intelligence, Deep learning, Computer security, Encryption and Data science.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Android.
His Computer security research is multidisciplinary, incorporating perspectives in Cloud computing, The Internet and Reinforcement learning.
The study incorporates disciplines such as Cryptocurrency, Open research, Access control, Authentication and Data integrity in addition to Cloud computing.
The various areas that Surya Nepal examines in his Encryption study include Verifiable secret sharing, Bottleneck, Memory footprint and Blockchain.
His Data science research includes themes of Spectral clustering and Graph embedding.
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