- Job Satisfaction and Organizational Behavior
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Outsourcing and Supply Chain Management
- Statistical Distribution Estimation and Applications
- Smart Grid Energy Management
- Building Energy and Comfort Optimization
- Cloud Computing and Resource Management
- Natural Language Processing Techniques
- IoT and Edge/Fog Computing
- Software Engineering Techniques and Practices
- Work-Family Balance Challenges
- Drilling and Well Engineering
- Software Engineering Research
- Privacy-Preserving Technologies in Data
- Advanced Statistical Process Monitoring
- Topic Modeling
- Employee Performance and Management
- Bayesian Methods and Mixture Models
- Organizational Leadership and Management Strategies
- Fault Detection and Control Systems
- Corporate Social Responsibility Reporting
- Groundwater and Watershed Analysis
- Smart Grid Security and Resilience
- Knowledge Management and Sharing
Sohar University
2024-2025
Jeju National University
2012-2024
National University of Sciences and Technology
2022-2024
COMSATS University Islamabad
2014-2024
Hayatabad Medical Complex
2024
International Islamic University, Islamabad
2023
Qatar University
2021
Islamia College University
2021
Bahauddin Zakariya University
2021
Kohat University of Science and Technology
2017-2020
Purpose The purpose of this paper is to advance knowledge on the implications perceived corporate social responsibility (CSR) employee levels commitment and citizenship behaviour (OCB) by investigating a trust-based mediational process in context academia. Design/methodology/approach research data are collected from sample 736 academics through questionnaire based survey administered different Pakistani universities. nature mechanism underlying relationships between CSR, affective OCB...
Due to the availability of smart metering infrastructure, high-resolution electric consumption data is readily available study dynamics residential at finely resolved spatial and temporal scales. Analyzing enables policymakers building owners understand consumer’s demand-consumption behaviors. Furthermore, analysis accurate forecasting are substantial for consumer involvement in time-of-use tariffs, critical peak pricing, consumer-specific demand response initiatives. Alongside its vast...
A brain tumor is the growth of abnormal cells in certain tissues with a high mortality rate; therefore, it requires precision diagnosis, as minor human judgment can eventually cause severe consequences. Magnetic Resonance Image (MRI) serves non-invasive tool to detect presence tumor. However, Rician noise inevitably instilled during image acquisition process, which leads poor observation and interferes treatment. Computer-Aided Diagnosis (CAD) systems perform early diagnosis disease,...
Internet of Things (IoT) is considered as one the future disruptive technologies, which has potential to bring positive change in human lifestyle and uplift living standards. Many IoT-based applications have been designed various fields, e.g., security, health, education, manufacturing, transportation, etc. IoT transformed conventional homes into Smart homes. By attaching small devices appliances, we cannot only monitor but also control indoor environment per user demand. Intelligent can be...
Purpose Around 87 percent of employees are not engaged in their work and 82 have withdrawal intentions across the globe. Considering these emerging challenges purpose this paper is to investigate associations between inter-role conflicts, engagement turnover intention considering person-job-fit (PJF) as a moderator. Design/methodology/approach The data from 343 Punjab police were collected on convenience basis through questionnaire-based survey. study used second generation analysis...
The generalization error of conventional support vector machine (SVM) depends on the ratio two factors; radius and margin. traditional SVM aims to maximize margin but ignore minimization radius, which decreases overall performance classifier. However, different approaches are developed achieve a trade-off between radius. Still, computational cost all these is high due requirements matrix transformation. Furthermore, tries set best hyperplane classes, some robust kernel tricks, an used in...
The growing energy demand with diminishing resources calls for development of optimal indoor control system through accurate and occupant comfort modeling in a smart-home. While some major obstacles faced by smart-home IoT network are heterogeneity disparate IP frameworks resulting connectivity interoperability issues. In this paper we developed new Open Connectivity Foundation (OCF) based prediction assisted framework optimizing consumption maximizing To the best our knowledge, first to...
CONTEXT - Offshore software development outsourcing is a modern business strategy for producing high quality at low cost. OBJECTIVE To identify various Critical Success Factors (CSFs) that have positive impact on clients in the selection process of offshore vendors. METHOD We performed Systematic Literature Review identification factors RESULTS identified dasiacost-savingpsila, dasiaskilled human resourcepsila, dasiaappropriate infrastructurepsila and dasiaquality product servicespsila are...
Offshore software development outsourcing is a contractual business of high-quality production at offshore destinations with significant cost-saving. The objective this research paper to identify and analyse factors that are important be addressed by vendor organisations in order competitive business. We have performed questionnaire surveys 53 experts from total 20 different countries. asked the participants rank each success factor on fivepoint scale determine perceived importance factor....
Purpose – The purpose of this paper is to develop an original framework explore the effects social influence (SI), market orientation (MO) and service quality (SQ) with moderating effect emotional intelligence (EI) on customer loyalty (CL) discuss mediational role satisfaction. Design/methodology/approach This study applies six concepts SI, MO, SQ, EI, satisfaction integral model enhance CL. In addition, research employs empirical by means questionnaire survey method verify hypotheses its...
Over the past years, numerous Internet of Things (IoT)-based healthcare systems have been developed to monitor patient health conditions, but these traditional do not adapt constraints imposed by revolutionized IoT technology. IoT-based are considered mission-critical applications whose missing deadlines cause critical situations. For example, in patients with chronic diseases or other fatal diseases, a missed task could lead fatalities. This study presents smart monitoring system (PHMS)...
With the development of modern power systems (smart grid), energy consumption prediction becomes an essential aspect resource planning and operations. In last few decades, industrial commercial buildings have thoroughly been investigated for patterns. However, due to unavailability data, residential could not get much attention. During years, many solutions devised predicting electric consumption; however, it remains a challenging task dynamic nature Therefore, more robust solution is...
Federated Learning (FL) promises to solve the data privacy problem by training local model on each node and sharing parameters instead of itself. Next, FL server applies aggregation techniques aggregate received models broadcast resulting connected clients. This study proposes a Digital Twin-based (DT-FL) framework virtually monitor controls remotely deployed physical clients their process. The connection-oriented protocol, Open Connectivity Foundation (OCF) Iotivity, connects with ensure...
This study aimed to explore the relationship between social media influence, entrepreneurial dynamics and consumer buying behavior. A sample of N=200 adults (n=100 men, n=100 women; 20–40 years old) who were actively engaged on online purchasing selected through convenient randomized sampling technique. The intentions assessed using a 5 point Likert scale, secondly 22 item scale was chosen measure influence (Khan & Jan, 2019), whereas 15 Yadav Rahman (2017) used results proved that...
The purpose of the study was to analyze nurses' perceptions benefits training and development, as well their commitment organization. Training development three facets organizational are studied using a quantitative survey research design. Structured equation modelling Smart PLS 3 used 290 313 responses from public sector hospitals. according findings, have strong positive relationship with affective, normative, continuance commitment. Some these findings ramifications for management...
Drilling data for groundwater extraction incur changes over time due to variations in hydrogeological and weather conditions. At any time, if there is a need deploy change drilling operations, companies keep monitoring the time-series make sure it not introducing or new errors. Therefore, solution needed predict levels (GWL) detect boreholes improve efficiency. The proposed study presents an ensemble GWL prediction (E-GWLP) model using boosting bagging models based on stacking techniques...