جست‌وجوی استاد و پژوهشگر

• Operational Research
• Computational Optimization
• Transportation Logistics
• +۳ مورد دیگر

Emmanouil Zachariadis serves as an Associate Professor at the Department of Management Science and Technology (DMST) within the School of Business at Athens University of Economics and Business (AUEB). He specializes in operational research and computational optimization, focusing on transportation logistics, supply chain systems, and environmental impact minimization. Education : BSc in Chemical Engineering from National Technical University of Athens (NTUA) MSc in Computing Science from Imperial College London PhD in Chemical Engineering from NTUA His research integrates mathematical programming with optimization algorithms for operational challenges in transportation and production systems. He has published 26 articles in top-tier journals, accumulating over 1200 Scopus citations by June 2024. Recent scholarly trends emphasize vehicle routing problems with complex constraints (cross-docking, loading, time windows) and optimization methods for logistics sustainability. His work spans production-routing integration, emergency evacuation planning (EVITA project), and hybrid metaheuristics. Scientific Awards : Teaching excellence award for undergraduate course 'Optimization Methods in Management Science', Dept. of Management Science & Technology AUEB (2021-22) Teaching excellence awards for postgraduate course 'Large Scale Optimization', MSc in Business Analytics AUEB (2020-21, 2021-22, 2022-23) He has participated in European and National research projects, applying his expertise in supply chain optimization and sustainability. His teaching portfolio covers quantitative methods, operational research, and supply chain optimization at both undergraduate and postgraduate levels.

Elmer Bernstamمشاهده پروفایل

استاد

• Clinical and Translational Informatics
• Information Retrieval
• Consumer Informatics
• +۷ مورد دیگر

Elmer Bernstam, MD, MSE, is Professor of Biomedical Informatics and Internal Medicine at the University of Texas Health Science Center at Houston (UTHealth Houston). He holds the Reynolds and Reynolds Professorship in Clinical Informatics and serves as Associate Dean for Research at the McWilliams School of Biomedical Informatics while maintaining a joint appointment with the McGovern Medical School. Dr Bernstam is board-certified in internal medicine and continues to practice, and he directs the Biomedical Informatics Group within UTHealth’s Center for Clinical and Translational Sciences (CCTS). Education MS, 2001 – Biomedical Informatics, Stanford University Medical Center MSE, 1999 – Computer Science and Engineering, University of Michigan College of Engineering MD, 1995 – Integrated Medical-Premedical Program, University of Michigan Medical School BSE, 1992 – Computer Engineering, University of Michigan College of Engineering BS, 1992 – Biomedical Sciences and Psychology, University of Michigan College of Literature, Science, and the Arts Research Focus Dr Bernstam’s research centers on clinical and translational informatics . He and his team investigate how to improve health care through better information management, with specific emphasis on: Information retrieval from biomedical literature and EHRs Consumer informatics and online health information quality Clinical decision support systems, especially for personalized cancer therapy Health data warehousing, interoperability, and large-scale phenotyping Natural language processing for clinical narratives and pharmacovigilance Under his leadership, the UTHealth clinical data warehouse now curates longitudinal data for more than 400,000 patients, serving as a foundational resource for multi-institutional research and learning health-system initiatives. Scientific Awards & Honors John P. McGovern Outstanding Teacher Award (2004) – conferred by student vote at McWilliams School of Biomedical Informatics Fellow, American College of Physicians Fellow, American College of Medical Informatics Grants, Labs & Teams Dr Bernstam leads the Biomedical Informatics Group housed in UTHealth’s Center for Clinical and Translational Sciences. The group’s portfolio includes federal and foundation grants that fund the UTHealth clinical data warehouse, national collaboratory projects such as the ENACT network, and work on AI-driven decision support tools for precision oncology. The lab’s current initiatives focus on (1) scalable infrastructure for multi-site EHR-based research, (2) fairness and bias evaluation in AI models, and (3) harmonization of social determinants of health data across Texas CTSA institutions. Clinical & Educational Roles In addition to directing research programs, Dr Bernstam maintains an active internal-medicine practice and mentors graduate students, clinical informatics fellows, and junior faculty. His teaching emphasizes evidence-based use of informatics tools and translational approaches that move innovations from bench to bedside.

• Supply Chain Coordination
• Spreadsheet Modeling
• Decision Making & Optimization
• +۳ مورد دیگر

Professor Michelle Cheong Lee Fong is a full-time faculty member at the School of Information Systems, Singapore Management University. She holds leadership roles as Associate Dean for Post-Graduate Professional Education and Director of the Doctor of Engineering program, and is actively involved in designing educational frameworks for technology-driven learning. Current affiliations: Singapore Management University (School of Information Systems) Research focus: Supply chain coordination, spreadsheet modeling, and educational technology Key courses taught: Computer as an Analysis Tool, Financial Modeling, Process Modeling Her research interests in supply chain coordination span strategic hub location optimization, tactical supplier coordination, and operational transportation planning. She also specializes in spreadsheet modeling for business decision-making, having developed textbook resources and case studies for logistics networks and financial planning. Recent work explores AI's role in digital education, including ChatGPT's impact on assessment design and ethical considerations in AI-driven pedagogy. The articles she has written or co-authored demonstrate expertise in operations research, educational technology, and AI applications. Topics include optimization theory, heuristic algorithms for scheduling, and digital assessment frameworks that integrate learning analytics. Her work bridges spreadsheet modeling's pedagogical value with modern challenges like ChatGPT's influence on student learning. Her teaching portfolio includes courses such as IS102 (Computer as an Analysis Tool), IS304 (Process Modeling), and FNCE645 (Financial Modeling). These courses emphasize practical skills in translating business requirements into technology solutions through spreadsheet-based analytical frameworks.

Curtis L Coleمشاهده پروفایل

دانشیار بالینی

• Medical Informatics
• Health Information Technology
• Electronic Health Records
• +۷ مورد دیگر

Curtis L Cole is a Clinical Associate Professor at Weill Cornell Medicine (Cornell University) with appointments in Population Health Sciences (2020-present), Libraries and Information Technology (2019-present), and Medicine (2006-present). As Chief Information Officer (CIO), he directs the Wood Library, core IT infrastructure, software development, telephony, and enterprise applications including EMRs, research systems, and the ERP. His leadership spans implementation of clinical information systems across outpatient/inpatient EMRs, diagnostic platforms, and revenue cycle systems, plus development of Weill Cornell's data dictionary (TruData©) and clinical data warehouse. His educational background includes: A.B. from Bowdoin College (1986) M.D. from Cornell University Medical College (1994) Leadership Development of Physicians in Academic Health Centers at Harvard University (1999) Executive Development Program at Kellogg School of Business, Northwestern University (2002) Dr. Cole's research centers on medical informatics with emphasis on secondary use of EMR data for research, genomic data integration into EHRs for precision medicine , and practical technology solutions for healthcare improvement. He pioneered Weill Cornell's clinical genomic information system enabling live whole-exome data feeds into EMR and co-developed the Insight Clinical Data Research Network aggregating NYC academic medical center data. His work investigates prescribing error reduction, patient safety alerts, physician productivity metrics, and patient portal impacts, consistently bridging technical innovation with clinical applicability. Analysis of his 15 most recent publications reveals three dominant trajectories: (1) AI-driven clinical innovation (e.g., patient reidentification, evidence synthesis), (2) EHR optimization for research (e.g., data linkage, race data quality, cohort discovery), and (3) research infrastructure (e.g., federated networks, electronic consent systems). His work demonstrates increasing focus on ethical AI deployment and genomic data integration, with practical applications in precision medicine and clinical trial support. Scientific recognition includes: David B. Skinner Award for Administrative Stewardship (1996, 1998) from New York Presbyterian Hospital Dr. Cole serves as Principal Investigator for the David Rogers Health Policy Colloquium (Robert Wood Johnson Foundation, 2022-2032) and sits on the AHRQ Health Information Technology Research Study Section. He actively mentors students and faculty in developing clinical technology solutions despite no specific advisees listed in the text. Current grant work focuses on health policy frameworks and genomic data integration infrastructure. He leads Weill Cornell's clinical data infrastructure team, directing development of TruData©, the i2b2 instance, and novel research data repository services. His group implemented the first live whole-exome data feed into EMR and supports the multi-institutional Insight Clinical Data Research Network. Current initiatives include expanding EHR capabilities for precision medicine and developing AI tools for clinical evidence synthesis while addressing ethical constraints.

Ingmar Ickerottمشاهده پروفایل

استاد

• Logistics Management
• Digitalization in Supply Chains
• Smart Glasses Applications
• +۳ مورد دیگر

Prof. Dr. Ingmar Ickerott is a faculty member at Osnabrück University of Applied Sciences, affiliated with the School of Management, Kultur und Technik (MKT, Campus Lingen) under the University management department. His academic career spans over two decades, focusing on logistics management, digitalization in supply chains, and smart technology applications like Smart Glasses and Augmented Reality . Academic Background : Diplom-Kaufmann in Business Administration (2001), Ph.D. in Economics (2006). Professional Roles : Senior Project Manager at arvato (2008–2010), Professor since 2010, Dean of MKT since 2019, Vice President for Digitalization since 2019. His research emphasizes logistics innovation , Lean Management , and digital solutions in rural healthcare . Key projects include Land.Digital (2019–2022) and LEAN 4.0 (Erasmus+, 2019–2021). Publications since 2004 cover agent-based simulation , Smart Device economics , and AR in logistics . He actively lectures on topics like Logistics 4.0 and Digital Onboarding . Projects & Grants : Land.Digital : €165,000+ (Erasmus+), 2019–2021. Dorfgemeinschaft 2.0 : €1.46M (BMBF), 2015–2021. Glasshouse : €208,557 (BMBF), 2015–2019.

Benjamin W. Domingueمشاهده پروفایل

دانشیار

• Psychometrics
• Sociogenomics
• Quantitative Methods
• +۳ مورد دیگر

Benjamin W. Domingue is an Associate Professor at the Graduate School of Education , Stanford University, with affiliations including the Stanford Center on Early Childhood and Policy Analysis for California Education (PACE) . His research bridges psychometrics and sociogenomics , focusing on statistical tools for measuring educational outcomes and integrating genetic data into social science research. Education: PhD in Education, University of Colorado Boulder (Advisor: Derek Briggs, 2012) MA in Mathematics, University of Texas at Austin (Advisor: Uri Treisman, 2006) BS in Mathematics, University of Texas at Austin (2001) His work examines test score properties , response time analysis , and genetic influences on educational attainment . Recent projects include developing the Item Response Warehouse (IRW) resource and analyzing oral reading fluency during the pandemic . Key methodological contributions involve the InterModel Vigorish (IMV) for predictive accuracy and speed-accuracy tradeoffs in real-world settings. Scientific Awards Jacobs Foundation Research Fellow (2022–2024) Outstanding Reviewer for AERA Open (2019, 2018) AERA Division D Quantitative Dissertation Award (2013) Faculty Advising Award (2018–2019) His research spans collaborations with institutions like the University of California, Berkeley, University of Colorado Boulder, and The University of Texas at Austin. He has contributed to genetic moderation studies , item response theory , and healthcare provider behavior through psychometric approaches.

Andriy Miranskyyمشاهده پروفایل

دانشیار

• Applied Machine Learning
• Big Data
• Blockchain
• +۴ مورد دیگر

Dr. Andriy Miranskyy is an Associate Professor in the Department of Computer Science at Toronto Metropolitan University. His research focuses on applied machine learning, quantum computing, cloud computing, and software engineering, with notable contributions to anomaly detection in cloud systems and quantum software engineering. He leads the AMiR Lab, exploring risk mitigation and software development challenges in emerging technologies. Education: Ph.D. in Computer Science from The University of Western Ontario (2011). Research Interests: He investigates quantum software engineering methodologies, cloud-native systems governance, and big data applications. His work bridges theoretical advancements with industrial-scale implementations, such as IBM Db2 quantum safety case studies and cloud monitoring tools like CloudHeatMap. He emphasizes practical solutions for flakiness detection in quantum programs and sustainable software development practices. Awards: Recognitions include the Rogers Cybersecure Catalyst Fellowship (2023-2024), IBM CAS Best Project (2021), and a Guinness World Record for pioneering a 3Pb data warehouse (IBM DB2 team). Teaching: Teaches courses like CPS 840 (Quantum Computing), CPS 847 (Software Tools for Startups), and CPS 731 (Software Engineering). Labs/Teams: Directs the AMiR Lab, focusing on risk-aware software engineering in quantum and cloud domains.

Fareed Ud-Dinمشاهده پروفایل

مدرس ارشد

• Distributed Computing
• Multi-Agent Systems
• Industry 4.0
• +۲ مورد دیگر

Fareed Ud-Din is Senior Lecturer in Computer Science at the University of New England's School of Science and Technology. His research develops computational frameworks for Industry 4.0 applications including the Extended Agent-Oriented Smart Factory (xAOSF) for small-medium enterprises. Current projects apply AI and machine learning to healthcare project management, medicinal plant identification, and organizational agility prediction. He leads research on distributed systems and cyber-physical systems integration. Ud-Din has received multiple academic awards including Best Research Paper (2018) and Best Conference Presentation (2020). He teaches programming, software engineering, and project management courses.

• Data Warehousing
• OLAP
• Data Mining
• +۵ مورد دیگر

Ioannis Kotidis is an Associate Professor in the Department of Informatics at the Athens University of Economics and Business (AUEB), School of Information Sciences and Technology. He holds a Diploma in Electrical and Mechanical Engineering from the National Technical University of Athens (1995), and Master's and Ph.D. degrees from the University of Maryland (1997, 2000). Prior to joining AUEB, he worked as a Senior Technical Specialist at AT&T Labs-Research in Florham Park, New Jersey until January 2006. His research spans multiple areas of database systems with particular focus on On-Line Analytical Processing (OLAP) and data warehousing, data mining, sensor/P2P networks, mobile data management, data fusion & dissemination, data streams, RFID data management, approximate query answering, and database preservation . His work bridges theoretical foundations with practical implementations, as evidenced by numerous publications in top-tier database conferences and journals. Professor Kotidis leads several significant research projects including RECOST (REal time management of COmplex STreams), DBSENSE (Information Management in Wireless Sensor Networks), INFORE (Interactive Extreme-Scale Analytics and Forecasting), and DeLorean (Storage, Indexing and Analysis Techniques for Time-Series Management). His recent work focuses on blockchain applications for decentralized OLAP processing, complex event processing frameworks, and advanced techniques for managing complex data streams. Among his notable achievements is the best paper award at the ACM SIGMOD International Conference on Management of Data for his work on DynaMat: A Dynamic View Management System for Data Warehouses. His publications consistently address challenging problems in database systems with innovative approaches that have influenced both academic research and practical implementations. He has supervised numerous undergraduate theses on topics including blockchain-based OLAP view management, complex event processing using FlinkCEP, and graph similarity learning. His research has attracted significant funding through various research programs at AUEB, including Basic Research Funding Programs 1 & 2.

Jonathan Coltonمشاهده پروفایل

استاد

• Global Development and Design
• Manufacturing Engineering
• Composite Materials
• +۴ مورد دیگر

Jonathan Colton is a Professor at the Georgia Institute of Technology, holding joint appointments in Mechanical Engineering, Industrial Design, and International Affairs. He leads Georgia Tech's U.S. Department of State Diplomacy Lab and focuses on multidisciplinary design for global development challenges. His research integrates manufacturing innovation with humanitarian applications, particularly in sub-Saharan Africa's agricultural mechanization and sustainable energy systems. Colton has directed projects such as the Net-Zero Energy Warehouse for Tunisia’s healthcare infrastructure and USAID agricultural technology scaling initiatives. His composites research emphasizes next-generation aircraft materials and recycling post-industrial prepreg waste. He previously served on the WHO Immunization Practices Advisory Committee and the Board of the Global Soap Project, demonstrating a commitment to global health and sustainability. His work bridges technical innovation with socio-economic impact, including participatory design methods for developing countries and techno-economic analyses of renewable energy systems. Key areas of focus include wind turbine optimization for low-wind regions, agricultural machinery design for Bangladesh, and cost-effective composite material processing techniques. Leadership: Diplomacy Lab Director, USAID Jefferson Science Fellow Key Projects: Net-Zero Energy Warehouse, Feed the Future Program Support Awards: Not explicitly listed but includes notable policy and technical contributions Colton’s teaching emphasizes hands-on, interdisciplinary approaches to engineering problems, reflecting his belief in practical solutions for global challenges.

• Ergonomics
• Human Factors Engineering
• Workplace Design
• +۵ مورد دیگر

Cecilia Berlin is an Associate Professor at Chalmers University of Technology's Department of Design & Human Factors, specializing in ergonomics and human factors engineering. Her research focuses on optimizing work environments to enhance both human well-being and system performance, particularly in manufacturing and production settings. Key areas include cognitive workload analysis, workplace design, and social sustainability in industrial contexts. University: Chalmers University of Technology School: School of Industrial and Materials Science Department: Design & Human Factors Her work emphasizes preventive occupational health strategies and the integration of ergonomics into Industry 4.0/5.0 transitions. Notable contributions include frameworks like ACD³ for ergonomic workplace design and Change Agent Infrastructure for stakeholder analysis in work system interventions. Cecilia has collaborated on projects such as the VirKA study on VR office environments and the PreKo model for cognitive workload assessment in manual assembly. Her research bridges human abilities, technology, and organizational practices to create sustainable and productive work systems.

Sandy Brownleeمشاهده پروفایل

مدرس ارشد

• Optimization
• Artificial Intelligence
• Metaheuristics
• +۷ مورد دیگر

Dr Sandy Brownlee is a Senior Lecturer in Computing Science and Mathematics at the University of Stirling, affiliated with the School of Natural Sciences. He leads the Data Science and Intelligent Systems research group and co-leads the AI Theme for SICSA. He is also a Visiting Fellow in Civil and Building Engineering at Loughborough University. His work focuses on explainable optimization techniques, metaheuristics (including evolutionary algorithms and estimation of distribution algorithms), fitness modeling, constraint handling, and decision support systems. Applications span civil engineering, healthcare, software engineering, and art. Education: BSc (Hons) in Computer Science (2005) and PhD in Multivariate Markov Networks for Fitness Modelling (2009), both from Robert Gordon University. Post-PhD roles included research at Loughborough University and industry experience in energy sector software engineering before joining Stirling in 2013. Research interests emphasize bridging optimization theory and real-world applications, with a focus on algorithm transparency and value-added insights. He has over 100 publications, including work on surrogate models, genetic improvement (GI), and XAI in evolutionary computation. Current roles include MSc program director for Artificial Intelligence and Big Data. His Erdos-Bacon number (8) reflects interdisciplinary reach, combining academic collaboration (3) with minor media appearances (5). He actively contributes to conferences, workshops, and public lectures on AI and optimization.

Hang Maمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Multi-Agent/Robot Systems
• +۵ مورد دیگر

Hang Ma is an Assistant Professor in Computing Science at Simon Fraser University (SFU) and director of the Autonomous Intelligence and Robotics (AIRob) lab . His research focuses on artificial intelligence, robotics, and machine learning, with particular emphasis on automated planning, multi-agent/robot systems, spatio-temporal reasoning, and combinatorial optimization. Education: Ph.D. Computer Science, University of Southern California (2019) M.Sc. Computer Science, McGill University (2014) B.Sc. Computing Science, Simon Fraser University (2012) B.Eng. Computer Science and Technology, Zhejiang University (2012) Research Interests: Multi-Agent Path Finding (MAPF) and Coverage Path Planning (CPP) Reinforcement Learning and Decentralized Systems Robotics Applications in Logistics and Autonomous Systems Large-Scale Combinatorial Optimization Recent Work Trends: His publications emphasize scalable solutions for multi-robot coordination, including path planning under constraints, learning-based optimization, and applications in warehouse automation and HD mapping. Recent work includes integrating MAPF techniques into coverage path planning and improving decentralized decision-making for dynamic formations. Teaching and Advising: He supervises PhD and MSc students at SFU, focusing on multi-agent systems and robotics. Current advisees include Dingyi Sun , Jiaqi Tan , and Jingtao Tang . His courses include CMPT 417/827: Intelligent Systems . Service: He has organized conferences like SoCS 2021 and ICAPS 2021, and serves on program committees for AAAI, IJCAI, and IROS. He is a Guest Editor for SN Applied Sciences on distributed robotic systems.

Michele Rutaمشاهده پروفایل

استاد

• Pervasive Computing
• Ubiquitous Web
• Knowledge Representation Systems
• +۷ مورد دیگر

Michele Ruta serves as Full Professor in the Department of Electrical and Information Engineering at Polytechnic University of Bari, specializing in pervasive computing systems and semantic technologies. His academic journey began with a Master's in Electronics Engineering from the same institution in 2002, followed by a Ph.D. in Computer Science in 2007. His research spans pervasive computing, ubiquitous web systems, knowledge representation, and wireless ad-hoc networks, with recent focus on blockchain integration for IoT, cloud-edge intelligence, and semantic web applications. Key contributions include the COWL ontology framework and Tiny-ME reasoning engine for resource-constrained devices. Analysis of his 15 most recent publications reveals strong emphasis on semantic technologies for smart mobility (2025), AI-driven logistics optimization (2025), and edge-based reasoning systems (2024). His work consistently bridges theoretical knowledge representation with practical applications in smart cities, healthcare, and industrial IoT. As editorial board member for relevant journals and Program Committee participant in international conferences, he actively shapes research directions in his fields. His technical leadership extends to national and international research projects focusing on semantic web infrastructure and IoT integration. Professor Ruta maintains active contributions through his personal research platform and IRIS publication repository, with 178 publications demonstrating sustained scholarly output since 2007. His laboratory work focuses on practical implementations of semantic reasoning for cyber-physical systems, particularly in cloud-edge continuum architectures.

• Management Information Systems
• Data Mining
• Data Analysis
• +۱۲ مورد دیگر

Asst. Prof. BAŞAK GÖK is a faculty member in the Department of Management Information Systems at the Faculty of Applied Sciences, Gazi University . She has been affiliated with Gazi University since 2009 and currently holds the academic rank of Assistant Professor. She previously served as a lecturer at Hacı Bayram Veli University and as a visiting researcher and lecturer at Texas Tech University, USA. Her academic career is deeply rooted in interdisciplinary research, bridging education, technology, and management. Her educational background includes: Bachelor's and Master's in Physics Education from Gazi University Second Master's and PhD in Management Information Systems (Interdisciplinary), Gazi University Postdoctorate at Texas Tech University, Institute for Measurement, Methodology, Analysis and Policy (IMMAP), USA (2019–2020) Her research interests span Management Information Systems, Data Mining, Distance Education, Service Quality, Performance Evaluation, Scale Development, Structural Equation Modeling, and Digital Transformation . She applies advanced analytical methods to assess educational technologies, e-commerce platforms, and organizational systems. Her work emphasizes practical solutions in information systems, particularly in education and logistics. She has published extensively in peer-reviewed journals and conferences, with recent work focusing on disinformation detection, financial literacy, warehouse optimization, and 5G technology adoption. Her publications reflect a strong trend in applied data science and decision support systems across educational and business contexts. Scientific Contributions: Active peer reviewer for journals such as Gazi Mühendislik Bilimleri Dergisi , Journal of Information Systems and Management Research , and Information Technologies Journal Contributor to international book chapters on Digital Transformation and Green Computing Member of editorial and review boards for ESCI and nationally indexed journals She has supervised student projects and is currently leading a social research project on the relationship between financial literacy and future anxiety among Gazi University students. She has also participated in an Erasmus-funded project on mobile learning for women artisans. Her academic service includes leadership roles such as Vice Dean (2023–2024) and Deputy Head of Department (2022–2023), demonstrating strong institutional engagement. She is affiliated with research groups and labs focused on data analytics, educational technology, and information systems design , often collaborating with researchers like H. Gökçen and others. Her ongoing work continues to explore digital transformation, AI applications, and sustainability in computing.