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Hikmat Ullah Khan

Biographic Data

ID8438712
NAMEHikmat Ullah Khan
GIVEN NAMESHikmat Ullah
FAMILY NAMEKhan
SIGNATUREKHAN H U
AFFILIATIONSCOMSATS University Islamabad
ORCID0000-0002-8178-6652
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • LLM predicts human behavior

    Open Access•Anam Naz, Hikmat Ullah Khan et al.•ARTICLE•Acta Psychologica•2026

    Advancements in deep learning have significantly transformed the Natural Language Processing (NLP) domain, enabling machines to understand and analyze human language with remarkable accuracy. One of the emerging applications of NLP is personality prediction, where AI-driven models process textual data to uncover underlying behavioral traits. With the rise of the user-generated content on digital platforms, individuals continuously express their t…

  • Exploring the role of sentiment analysis with network and temporal features for finding influential users in social media platforms

    Open Access•Umar Ishfaq, Hikmat Ullah Khan et al.•ARTICLE•Social Network Analysis and Mining•2025

  • Conversational AI

    Open Access•Muzamil Ahmed, Hikmat Ullah Khan et al.•ARTICLE•IEEE Transactions on Computational…•2024

    With the recent advancements in conversational artificial intelligence (AI), the practical applications of chatbots have risen significantly in diverse domains such as healthcare, education, e-government, customer support systems, social platforms, and entertainment. The chatbot converses with humans in natural language and responds to their queries with precise and relevant answers. The relevant literature presents several methods for intent cla…

  • Study of bacterial and hospital acquired factors of urinary tract infections in patients in district Chakwal

    Open Access•Maria Abdul Salam, Mohsina Haq et al.•ARTICLE•International Journal of Health…•2023

    Majority of hospital acquired infection included Urinary Tract Infection (UTIs) worldwide. If the causes of UTI are well understood, the condition may be easily managed with timely management. In current study, the UTI factors and frequency of pathogenic bacteria in all patients were observed and also the bacterial cultures were identified to check the percentage of infection caused by different gram positive and negative bacteria. For this study…

No prominent works on this page.

  • Study of bacterial and hospital acquired factors of urinary tract infections in patients in district Chakwal

    Open Access•Maria Abdul Salam, Mohsina Haq et al.•ARTICLE•International Journal of Health…•2023

    Majority of hospital acquired infection included Urinary Tract Infection (UTIs) worldwide. If the causes of UTI are well understood, the condition may be easily managed with timely management. In current study, the UTI factors and frequency of pathogenic bacteria in all patients were observed and also the bacterial cultures were identified to check the percentage of infection caused by different gram positive and negative bacteria. For this study…

  • Conversational AI

    Open Access•Muzamil Ahmed, Hikmat Ullah Khan et al.•ARTICLE•IEEE Transactions on Computational…•2024

    With the recent advancements in conversational artificial intelligence (AI), the practical applications of chatbots have risen significantly in diverse domains such as healthcare, education, e-government, customer support systems, social platforms, and entertainment. The chatbot converses with humans in natural language and responds to their queries with precise and relevant answers. The relevant literature presents several methods for intent cla…

  • Exploring the role of sentiment analysis with network and temporal features for finding influential users in social media platforms

    Open Access•Umar Ishfaq, Hikmat Ullah Khan et al.•ARTICLE•Social Network Analysis and Mining•2025

  • LLM predicts human behavior

    Open Access•Anam Naz, Hikmat Ullah Khan et al.•ARTICLE•Acta Psychologica•2026

    Advancements in deep learning have significantly transformed the Natural Language Processing (NLP) domain, enabling machines to understand and analyze human language with remarkable accuracy. One of the emerging applications of NLP is personality prediction, where AI-driven models process textual data to uncover underlying behavioral traits. With the rise of the user-generated content on digital platforms, individuals continuously express their t…

Artificial Intelligence (2 works) · Computer Science (2 works) · Social media (2 works) · AI in Service Interactions (1 work) · Antibiotics (1 work) · Bacteria (1 work) · Big Five personality traits (1 work) · Biology (1 work) · Centrality (1 work) · Chatbot (1 work)

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