Dr. Dursun Delen, Oklahoma Devlet Üniversitesinde İşletme Yönetimi Spears Kürsü profesörü, İş Analitiğinde Patterson Ailesi Kürsü profesörü, Sağlık Sistemleri İnovasyonu Merkezi Araştırma Direktörü, Spears İşletme Okulu Yönetim Bilimi ve Bilgi Sistemleri vekil profesörü ve İstinye Üniversitesi’nde Endüstri Mühendisliği Profesörüdür. Dr. Delen, hem iş danışmanı hem de üniversite profesörü olarak analitik ve veri biliminde 30 yılı aşkın deneyime sahiptir. Akademik görevinden önce, beş yıl boyunca özel bir araştırma ve danışmanlık şirketinde araştırmacı bilim insanı olarak çalıştı ve bu süre zarf...
Dr. Dursun Delen, Oklahoma Devlet Üniversitesinde İşletme Yönetimi Spears Kürsü profesörü, İş Analitiğinde Patterson Ailesi Kürsü profesörü, Sağlık Sistemleri İnovasyonu Merkezi Araştırma Direktörü, Spears İşletme Okulu Yönetim Bilimi ve Bilgi Sistemleri vekil profesörü ve İstinye Üniversitesi’nde Endüstri Mühendisliği Profesörüdür. Dr. Delen, hem iş danışmanı hem de üniversite profesörü olarak analitik ve veri biliminde 30 yılı aşkın deneyime sahiptir. Akademik görevinden önce, beş yıl boyunca özel bir araştırma ve danışmanlık şirketinde araştırmacı bilim insanı olarak çalıştı ve bu süre zarfında DoD, NASA, NIST ve DoE dahil olmak üzere federal kurumlar tarafından finanse edilen bir dizi karar destek, bilgi sistemleri ve ileri analitikle ilgili araştırma projelerine liderlik etti. Dr. Delen, 150'den fazla hakemli makale ve 11 kitap/ders kitabı yayınlamıştır. İş analitiği, veri/metin madenciliği ve bilgi yönetimi ile ilgili konularda danışmanlık anlaşmaları için sık sık ulusal ve uluslararası konferanslara davet edilmektedir. Çeşitli iş analitiği ve bilgi sistemleri konferanslarında düzenli olarak alt konula temalari için başkanlık yapmaktadır. Halen bir düzineden fazla dergi yayın kurulunda baş editör, kıdemli editör, yardımcı editör ve yayın kurulu üyesi olarak görev yapmaktadır. Prestijli Fulbright alimi, seçkin öğretmen ve araştırmacı vekilleri ve Büyük Veri mentor ödülleri dahil olmak üzere çeşitli araştırma ve öğretim ödüllerinin sahibidir.
Makaleler
A multi-criteria decision-making framework for metaverse adoption: evidence from higher education systems
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Assessing middle managers' digital competency in manufacturing transformation: An integrated type-2 neutrosophic ExpTODIM approach
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Graph attention network with comorbidity connectivity embedding for post-traumatic epilepsy risk prediction using sparse time-series electronic health records
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A multi-objective decision-making approach for sustainable energy investment planning
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Investigating injury severity risk factors in automobile crashes with predictive analytics and sensitivity analysis methods.
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Predicting and explaining corruption across countries: A machine learning approach
, 2020
Discovering opioid users' medical comorbidities: a data mining approach
, 2020
Research Themes and Trends in Ten Top-Ranked Nephrology Journals: A Text Mining Analysis
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Using predictive analytics to identify drug-resistant epilepsy patients
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Development of a Bayesian Belief Network-based DSS for predicting and understanding freshmen student attrition
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Predicting and explaining inflammation in Crohn's disease patients using predictive analytics methods and electronic medical record data
, 2019
Assessing the supply chain performance: a causal analysis
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Big data analytics capabilities and firm performance: An integrated MCDM approach
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Determining Optimal Skillsets for Business Managers Based on Local and Global Job Markets: A Text Analytics Approach
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An integrated decision analysis methodology based on IF-DEMATEL and IF-ELECTRE for personnel selection
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Balanced scorecard-based analysis of customer expectations for cosmetology services: a hybrid decision modeling approach
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A novel diffusion-based model for estimating cases, and fatalities in epidemics: The case of COVID-19
, 2021
Predicting and Explaining Pig Iron Production on Charcoal Blast Furnaces: A Machine Learning Approach
, 2021
To imprison or not to imprison: an analytics model for drug courts
, 2021
A comparative analysis of machine learning techniques and fuzzy analytic hierarchy process to determine the tacit knowledge criteria
, 2022
Deep-learning-based short-term electricity load forecasting: A real case application
, 2022
A probabilistic data analytics methodology based on Bayesian Belief network for predicting and understanding breast cancer survival
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Post-acute care referral in United States of America: a multiregional study of factors associated with referral destination in a cohort of patients with coronary artery bypass graft or valve replacement
, 2019
Developing a hybrid analytics approach to measure the efficiency of deposit banks
, 2019
A Fuzzy Prescriptive Analytics Approach to Power Generation Capacity Planning
, 2022
Relationship between electronic health records strategy and user satisfaction: a longitudinal study using clinicians' online reviews
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An integrated approach for lean production using simulation and data envelopment analysis
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A fuzzy Einstein-based decision support system for public transportation management at times of pandemic
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A two-stage analytical approach to assess sustainable energy efficiency
, 2018
A Comparative Analysis of Machine Learning Methods for Classification Type Decision Problems in Healthcare
, 2014
No Place Like Home: A Cross-National Assessment of the Efficacy of Social Distancing during the COVID-19 Pandemic
, 2020
A Comparative Analysis of Machine Learning Techniques and Fuzzy Analytic Hierarchy Process to Determine the Tacit Knowledge Criteria
, 2021
Predicting and Explaining Pig Iron Production on Charcoal Blast Furnaces: A Machine Learning Approach
, 2021
An integrated decision analysis methodology based on IF-DEMATEL and IF-ELECTRE for personnel selection
, 2021
Balanced scorecard-based analysis of customer expectations for cosmetology services: a hybrid decision modeling approach
, 2021
A Novel Diffusion-Based Model for Estimating Cases, and Fatalities in Epidemics: The Case of COVID-19 Journal of Business Research
, 2021
Crafting performance-based cryptocurrency mining strategies using a hybrid analytics approach
, 2021
To imprison or not to imprison: an analytics model for drug courts
, 2021
A Probabilistic Bayesian Inference Model to Investigate Injury Severity in Automobile Crashes
, 2021
Derivation and Validation of Essential Predictors and Risk Index for Early Detection of Diabetic Retinopathy Using Electronic Health Records
, 2021
How to beat the 90% failure rate in Digital Transformations
, 2021
Text-Mining Analysis of mHealth Research
, 2017
An analytic approach to assessing organizational citizenship behavior
, 2017
Use of ANP Weighted Crisp and Fuzzy QFD for Product Development
, 2014
The Impact of Multinationality on Firm Value: A Comparative Analysis of Machine Learning Techniques
, 2014
Development of a Hybrid Methodology for ERP System Selection: The Case of Turkish Airlines
, 2014
A critical assessment of imbalanced class distribution problem: The case of predicting freshmen student attrition
, 2014
The Best” ERP system for SMEs using a combination of ANP and PROMETHEE methods
, 2015
Analyzing initial public offerings’xx short-term performance using decision trees and SVMs
, 2015
The Influence of Knowledge Management on Financial and Non-Financial Performance
, 2015
Predicting Overall Survivability in Comorbidity of Cancers: A Data Mining Approach
, 2015
Computer-Aided Diagnosis of Parkinson’s Disease Using Complex-Valued Neural Networks and mRMR Feature Selection Algorithm
, 2015
Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme
, 2016