Ijaz ul Haq
Biographic Data
| ID | 7010034 |
|---|---|
| NAME | Ijaz ul Haq |
| GIVEN NAMES | Ijaz ul |
| FAMILY NAME | Haq |
| SIGNATURE | HAQ I U |
| AFFILIATIONS | University of Michigan–Flint |
| ORCID | 0000-0002-4852-2938 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Domain-Adaptive Representation Learning for Multimodal Deepfake Detection
The rise of deepfakes poses a significant threat to public trust in digital content, particularly when presented on social media platforms where fabricated videos of political leaders, influencers, or celebrities can rapidly go viral. These convincing manipulations fuel misinformation, distort public opinion, promote scams, and challenge the integrity of content on social media. Additionally, with the recent shift from unimodal to multimodal deep…
Generalized Deepfake Detection Using Identity, Behavioral, and Geometric Signatures
Trust in online media is increasingly compromised by deepfake multimedia, which undermines the authenticity of shared content. Existing detection techniques often perform well only on specific types of deepfakes, limiting their generalization ability and making them vulnerable in real-world applications. To address this, we propose a novel deepfake detection framework featuring an effective feature descriptor that integrates deep identity, behavi…
Mother's perception regarding insufficiency of breast-milk
Background: Breast milk serves as the primary source of nutrition for infants, playing a crucial role in enhancing their immunity against viruses and bacteria. Insufficient breast milk may lead to impaired growth in babies. The resent study aims to explore mothers' perceptions and challenges associated with breast milk insufficiency in Haripur District, Pakistan. Methods: In this qualitative investigation, 60 mothers from diverse hospitals in the…
Risk Factors of Wasting-Based Malnutrition in the Flood-Affected Areas of Pakistan
The current study aimed to find the risk factors of wasting in flood-affected areas of Khyber Pakhtunkhwa, Pakistan. Sociodemographic and anthropometric data was collected. Children living in large family are 2.59 times more likely to be wasted (AOR = 2.59, 95% confidence interval (CI): 1.10, 6.10; p value = .029) and children living in medium size family are 2.23 times more likely to be wasted (AOR = 2.23, 95% CI: 1.03, 4.80; p value = .04) as c…
Dynamics of automatized measures of creativity
The growing body of creativity research involves Artificial Intelligence (AI) and Machine learning (ML) approaches to automatically evaluating creative solutions. However, numerous challenges persist in evaluating the creativity dimensions and the methodologies employed for automatic evaluation. This paper contributes to this research gap with a scoping review that maps the Natural Language Processing (NLP) approaches to computations of different…
Risk Factors of Mid-upper Arm Circumference (Muac) Based Child Malnutrition in the Flood-affected Areas of Pakistan
Low- and middle-income countries are usually at high risk of malnutrition. Not only that but the prevalence of malnutrition is much higher. It is important to evaluate the determinants of malnutrition in flood-affected areas of Pakistan. The present study examined the prevalence and risk factors of MUAC-based child malnutrition in flood-hit regions of Khyber Pakhtunkhwa, Pakistan. Multi-stage sampling was employed to select 656 households. Finall…
Identification of Body Composition, Dietary Patterns and Its Associated Factors in Medical University Students in China
This study aimed to measure the body composition, dietary patterns and its associated factors in medical students. A cross-sectional study was conducted among 695 students studying at Nanjing medical university, China. Data regarding dietary intake factors was collected by a validated food frequency questionnaire. Principle component analysis and multivariate linear regressions were used. Body composition including BMI and visceral fats index of …
A Comparative Study of Nutritional Status, Knowledge Attitude and Practices (KAP) and Dietary Intake between International and Chinese Students in Nanjing, China
University students tend to have poor dietary practices, which ultimately affect their nutritional status. International students are becoming more prevalent in China. The current study aimed to compare the nutritional status, knowledge attitude and practices (KAP) and dietary intake between international and Chinese students in China. A comparative study was conducted in undergraduate students of Nanjing Medical University aged 17−31 years inclu…
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A Comparative Study of Nutritional Status, Knowledge Attitude and Practices (KAP) and Dietary Intake between International and Chinese Students in Nanjing, China
University students tend to have poor dietary practices, which ultimately affect their nutritional status. International students are becoming more prevalent in China. The current study aimed to compare the nutritional status, knowledge attitude and practices (KAP) and dietary intake between international and Chinese students in China. A comparative study was conducted in undergraduate students of Nanjing Medical University aged 17−31 years inclu…
Identification of Body Composition, Dietary Patterns and Its Associated Factors in Medical University Students in China
This study aimed to measure the body composition, dietary patterns and its associated factors in medical students. A cross-sectional study was conducted among 695 students studying at Nanjing medical university, China. Data regarding dietary intake factors was collected by a validated food frequency questionnaire. Principle component analysis and multivariate linear regressions were used. Body composition including BMI and visceral fats index of …
Risk Factors of Mid-upper Arm Circumference (Muac) Based Child Malnutrition in the Flood-affected Areas of Pakistan
Low- and middle-income countries are usually at high risk of malnutrition. Not only that but the prevalence of malnutrition is much higher. It is important to evaluate the determinants of malnutrition in flood-affected areas of Pakistan. The present study examined the prevalence and risk factors of MUAC-based child malnutrition in flood-hit regions of Khyber Pakhtunkhwa, Pakistan. Multi-stage sampling was employed to select 656 households. Finall…
Dynamics of automatized measures of creativity
The growing body of creativity research involves Artificial Intelligence (AI) and Machine learning (ML) approaches to automatically evaluating creative solutions. However, numerous challenges persist in evaluating the creativity dimensions and the methodologies employed for automatic evaluation. This paper contributes to this research gap with a scoping review that maps the Natural Language Processing (NLP) approaches to computations of different…
Risk Factors of Wasting-Based Malnutrition in the Flood-Affected Areas of Pakistan
The current study aimed to find the risk factors of wasting in flood-affected areas of Khyber Pakhtunkhwa, Pakistan. Sociodemographic and anthropometric data was collected. Children living in large family are 2.59 times more likely to be wasted (AOR = 2.59, 95% confidence interval (CI): 1.10, 6.10; p value = .029) and children living in medium size family are 2.23 times more likely to be wasted (AOR = 2.23, 95% CI: 1.03, 4.80; p value = .04) as c…
Domain-Adaptive Representation Learning for Multimodal Deepfake Detection
The rise of deepfakes poses a significant threat to public trust in digital content, particularly when presented on social media platforms where fabricated videos of political leaders, influencers, or celebrities can rapidly go viral. These convincing manipulations fuel misinformation, distort public opinion, promote scams, and challenge the integrity of content on social media. Additionally, with the recent shift from unimodal to multimodal deep…
Generalized Deepfake Detection Using Identity, Behavioral, and Geometric Signatures
Trust in online media is increasingly compromised by deepfake multimedia, which undermines the authenticity of shared content. Existing detection techniques often perform well only on specific types of deepfakes, limiting their generalization ability and making them vulnerable in real-world applications. To address this, we propose a novel deepfake detection framework featuring an effective feature descriptor that integrates deep identity, behavi…
Mother's perception regarding insufficiency of breast-milk
Background: Breast milk serves as the primary source of nutrition for infants, playing a crucial role in enhancing their immunity against viruses and bacteria. Insufficient breast milk may lead to impaired growth in babies. The resent study aims to explore mothers' perceptions and challenges associated with breast milk insufficiency in Haripur District, Pakistan. Methods: In this qualitative investigation, 60 mothers from diverse hospitals in the…
Environmental health (4 works) · Medicine (4 works) · Cross-sectional study (3 works) · Anthropometry (2 works) · Artificial Intelligence (2 works) · Child Nutrition and Water Access (2 works) · Computer Science (2 works) · Food Security and Health in Diverse Populations (2 works) · Generative Adversarial Networks and Image Synthesis (2 works) · Geography (2 works)