What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- Operating system
His primary areas of investigation include Artificial intelligence, Pattern recognition, Computer network, Distributed computing and Network packet.
His Artificial intelligence research includes elements of Curvature, Trajectory and Computer vision.
His study looks at the intersection of Pattern recognition and topics like Search engine indexing with Image processing and Data mining.
His study in the field of Link-state routing protocol and Scheduling also crosses realms of Broadband networks.
His biological study spans a wide range of topics, including Supercomputer, Bandwidth allocation, Parallel processing and Telecommunications service.
His Network packet research is multidisciplinary, incorporating elements of Wireless network, Wireless sensor network, Quality of service and Time division multiple access.
His most cited work include:
- A survey of secure mobile Ad Hoc routing protocols (273 citations)
- Heterogeneous computing: challenges and opportunities (269 citations)
- Object Trajectory-Based Activity Classification and Recognition Using Hidden Markov Models (222 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Computer network, Wireless sensor network, Artificial intelligence, Algorithm and Distributed computing.
His Computer network research integrates issues from Throughput and Communication channel.
His research investigates the connection between Wireless sensor network and topics such as Real-time computing that intersect with problems in Node.
His studies in Artificial intelligence integrate themes in fields like Trajectory, Computer vision and Pattern recognition.
As part of one scientific family, Ashfaq Khokhar deals mainly with the area of Algorithm, narrowing it down to issues related to the Parallel computing, and often Fast Fourier transform and Computation.
His Distributed computing study typically links adjacent topics like Scalability.
He most often published in these fields:
- Computer network (23.73%)
- Wireless sensor network (21.36%)
- Artificial intelligence (20.34%)
What were the highlights of his more recent work (between 2013-2020)?
- Computer network (23.73%)
- Wireless sensor network (21.36%)
- Network packet (10.51%)
In recent papers he was focusing on the following fields of study:
Ashfaq Khokhar mainly focuses on Computer network, Wireless sensor network, Network packet, Artificial intelligence and Linear network coding.
Ashfaq Khokhar has researched Computer network in several fields, including Wireless network and Distributed computing.
His Wireless sensor network research incorporates elements of Data mining, Energy consumption, Key distribution in wireless sensor networks, Real-time computing and Efficient energy use.
His research investigates the link between Network packet and topics such as Mobile device that cross with problems in Throughput, Secure transmission, State and Multimedia.
Ashfaq Khokhar interconnects Machine learning and Pattern recognition in the investigation of issues within Artificial intelligence.
In general Pattern recognition study, his work on Discrete wavelet transform often relates to the realm of Premature atrial contraction, thereby connecting several areas of interest.
Between 2013 and 2020, his most popular works were:
- Hierarchical Data Aggregation Using Compressive Sensing (HDACS) in WSNs (109 citations)
- Nurse Continuity and Hospital-Acquired Pressure Ulcers: A Comparative Analysis Using an Electronic Health Record "Big Data" Set. (18 citations)
- DODS: A Distributed Outlier Detection Scheme for Wireless Sensor Networks (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- Operating system
Ashfaq Khokhar mainly investigates Wireless sensor network, Nursing, Electronic health record, Big data and Node.
The concepts of his Wireless sensor network study are interwoven with issues in Energy consumption, Hierarchical database model and Algorithm.
His studies deal with areas such as Nursing Outcomes Classification and Health records as well as Nursing.
The Node study combines topics in areas such as Quality of service, Anomaly detection, Outlier, Wireless network and Broadcasting.
His Broadcasting study results in a more complete grasp of Computer network.
His Data mining research incorporates themes from Artificial intelligence and Pattern recognition.
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