Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Sumya Hoque

dblp:289/0486 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
2since 2021 · last 2026
0000-0001-7578-0812ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 50% Performance modeling and evaluation · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
cluster resource management and scheduling
1.012026
Wax: Optimizing Data Center Applications With Stale Profile · ASPLOS (2) 2026
Performance modeling and evaluation › performance tuning
profile-guided optimization
1.012026
Wax: Optimizing Data Center Applications With Stale Profile · ASPLOS (2) 2026

Methods — techniques the papers use, named apart from their topics

stale profile analysis · 1.0
YearPublicationVenuePosition
2026 Wax: Optimizing Data Center Applications With Stale Profile
Tawhid Bhuiyan, Sumya Hoque, Angelica Aparecida Moreira, Tanvir Ahmed Khan 0001
ASPLOS (2)2
2021 COVID-19 Mental Health AI and Robot Assistant
abstract
COVID-19 is putting our mental health at risk since it has been proven stressful for plenty of people. Fear and anxiety about a new disease or death of a percentage of a population can be overwhelming for adults and the young generation. Moreover, self-quarantine or isolation can be stressful for individuals as well. Therapists are not available around the clock to follow up with their patients' mental health issues. This project proposes Socially Assistive Robots (SARs) and AI chatbots that can assist people with COVID-19 anxiety. SARs and chatbots have been proven useful for treating the anxiety problem, we will explore how SARs and chatbots can be more efficient to assist COVID-19 anxiety patients. In this project, we have designed Socially Assistive Robots (SARs) and AI chatbots to help people in coping with their mental stress or anxiety. SARs and AI chatbots can provide specific therapy and counseling assistance, such as Cognitive Behavioral, and Immersion Therapy Assistance to specific groups of people, including nursing home adults or the young generation who may be at risk or suffering from COVID-19 anxiety. (age group 18-25).
Sumya Hoque, Mohammad Q. Azhar, Stacey Rodriguez
SIGCSE1