Find Academic Supervisors

Ger KooleView profile

Professor

• Operations Management
• Business Analytics
• Optimization
• +8 more

Ger Koole is a Professor in the Department of Mathematics at Vrije Universiteit Amsterdam (VU Amsterdam). He specializes in Operations Management and Business Analytics, with a focus on applying optimization and machine learning techniques to service operations, particularly in call centers, healthcare, and revenue management. Through academic-industry collaborations via ACOSA (Amsterdam Center for Optimization, Statistics and Analytics), he bridges theoretical research with practical applications. As an entrepreneur, Ger co-founded CCmath, a company developing advanced forecasting and workforce scheduling software for call centers, and NEXT wfm, a consulting and temp agency focused on call center workforce management. His research interests include queueing theory, decision support systems, and operational efficiency in healthcare and service industries. Ger is actively involved in education, teaching Business Analytics and Optimization courses to diverse student groups. He contributes to academic resources through tools like the Optimization of Business Processes (OBP) platform, which features interactive calculators and simulation games on topics such as hospital capacity planning, outpatient scheduling, and revenue management. Personal achievements highlight his athletic pursuits, including completing a long-distance triathlon in under 12 hours and serving as a skitouring instructor for the French and Dutch alpine clubs.

Brent NeverView profile

Associate Professor

• Nonprofit Management
• Public Policy Analysis
• Spatial Analytics
• +4 more

Brent Never serves as Associate Dean and Associate Professor of Public Affairs at the University of Missouri-Kansas City's Henry W. Bloch School of Management, while directing the Midwest Center for Nonprofit Leadership. His dual role bridges academic scholarship with practical nonprofit sector engagement across Kansas City. His research employs Geographic Information Systems (GIS) and spatial regression to analyze underserved communities and financially distressed nonprofits within decentralized human service systems. This work extends to urban blight mitigation through data-driven approaches, notably the Alteryx Excellence Award-winning Abandoned to Vibrant (A2V) consortium addressing abandoned housing. His methodology integrates property violations, 311 calls, crime data, and Census demographics to transform blighted properties into productive community assets. Recent publications demonstrate consistent evolution from nonprofit financial distress analysis toward cutting-edge applications of deep learning for abandoned property identification and zero-fare transit health impact studies. This trajectory reflects growing emphasis on spatial analytics for public policy innovation, particularly in human services delivery and urban revitalization. His scientific recognition includes: Fulbright Scholar appointments in Benin (2003-04) and Northern Ireland (2007) Kresge Foundation Young Scholar Research Grant (2011-2013) Alteryx Excellence Award for civic data innovation (2018) Elmer F. Pierson Award for Teaching Excellence Bloch Student Award for Impactful Teaching Never advises students across Master of Public Administration, Executive MPA, Executive MBA, and MBA programs while securing foundation funding for spatial policy research. His service includes ARNOVA Track Chair duties (2014-2016), manuscript reviewing for top journals, and civic engagement through Kansas City's Citizens’ Commission on Municipal Revenue. The Abandoned to Vibrant consortium exemplifies his translational research approach, collaborating with KCMO Open Data, Land Bank of Kansas City, Legal Aid of Western Missouri, and neighborhood groups to convert Alteryx-powered data analytics into tangible urban renewal outcomes across historically redlined corridors.

• Business Administration
• Office Management
• Secretarial Science
• +3 more

Burcu ÇETİNKAYA serves as a Lecturer in the Office Services and Secretarial Services department at the Vocational School of Social Sciences, where she contributes to vocational training programs focused on administrative and secretarial competencies including call center operations. Her academic role emphasizes practical skill development within this specialized educational context. Her research profile centers on business and administrative sciences, with core interests spanning: Business Administration Office Management systems Secretarial Science methodologies Customer Service optimization Call Center Operations frameworks Administrative Systems design Professional activity records indicate supervision of one master's thesis, though specific student details remain unlisted. The absence of publications and scientific awards is notable, with all metric categories (citations, h-index, etc.) registering zero values in institutional records.

Bartolomeo MontrucchioView profile

Professor

• Computer Vision
• Quantum Computing
• Image Processing
• +5 more

Bartolomeo Montrucchio is a Full Professor of Information Processing Systems (ING-INF/05) at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin. He is a member of the Interdepartmental Center Photonext - PoliTo Interdepartmental Center on Applied Photonics and serves as deputy director at the Interuniversity Center of Regional Interest for the Training of Secondary School Teachers (CIFIS) since July 2012. Additionally, he has held an adjunct professor position at the University of Illinois at Chicago during July 2008. Professor Montrucchio's research spans several cutting-edge areas with a primary focus on quantum computing, computer vision, and sensor networks. His work encompasses image processing, scientific visualization, parallel and distributed systems, and wireless sensor networks. He actively contributes to European research initiatives including the EQUO (European QUantum ecOsystems) project as Scientific Responsible. His research bridges theoretical computer science with practical applications across multiple industries. His publication record shows a strong trajectory toward quantum technologies, with numerous recent publications focusing on quantum machine learning, quantum algorithms for financial applications, and quantum applications in cybersecurity. His work demonstrates increasing emphasis on practical implementations of quantum computing in real-world scenarios, particularly in industrial settings and telecommunications. Best student paper award at BIOSIGNAL2002, conferred by EURASIP, Italy (2002) Associate Editor of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019-present) Professor Montrucchio actively supervises numerous PhD students working on quantum computing applications across various domains including finance, cybersecurity, traffic optimization, and industrial use cases. His teaching portfolio includes courses on Quantum Computing, Parallel and Distributed Computing, and Image Processing and Computer Vision across multiple degree programs including Computer Engineering, Biomedical Engineering, and Quantum Engineering. He leads multiple research projects funded by both competitive calls and commercial contracts, with a significant focus on quantum technologies since 2019. His patent portfolio includes several inventions related to tire manufacturing processes and visual rehabilitation for telemedicine.

Chen GuoqingView profile

Professor

• Business Intelligence
• Big Data Analysis
• E-commerce
• +4 more

Chen Guoqing is a Professor and Senior Professor of Humanities at Tsinghua University's School of Economics and Management, where he serves as Deputy Director of the Academic Committee. He chairs the National Natural Science Foundation of China's Big Data Major Research Program Guidance Expert Group and directs the Ministry of Education's Higher Education Management Science and Engineering Professional Teaching Guidance Committee, with additional roles on national informatization and New Liberal Arts committees. Education: Bachelor's Degree, Renmin University of China (1982) Master's Degree, University of Leuven, Belgium (1988) Doctorate, University of Leuven, Belgium (1992) Research Focus: Professor Chen pioneers research in Business Intelligence and Big Data Analysis, developing frameworks like PAGE for data-driven decision-making. His work spans E-commerce, IT Strategy, and Fuzzy Logic, with recent emphasis on personalized recommendation systems, online consumer behavior, and AI-human collaboration in business contexts. His publications reveal a trajectory from foundational fuzzy logic research to cutting-edge big data applications, consistently bridging technical innovation with managerial relevance. Awards: AIS Fellow (first from mainland China) IFSA Fellow Fudan Management Outstanding Contribution Award Changjiang Scholar Distinguished Professor National Science Fund for Distinguished Young Scholars National Outstanding Doctoral Dissertation Advisor Leadership: As former Executive Vice Dean of Tsinghua SEM and Vice President of IFSA, he has shaped academic policy globally. He leads major NSFC projects and international collaborations while advising government bodies on informatization strategy. His teaching includes national-level courses like "Management Information Systems" and "Management in the Big Data Era."

Fernando María Amigo-QuintanaView profile

Professor

• Strategic Management
• Risk Management
• Marketing
• +4 more

Fernando María Amigo-Quintana is an international consultant and Professor of Strategic Management at Universidad Camilo José Cela (UCJC) . With over 25 years of experience, he bridges academia and industry, focusing on strategy, innovation, risk management, and technology applications (fintech, edutech, BI). His career spans roles at institutions like Accenture, Price Waterhouse, and the Mapfre Foundation, with sector expertise in finance, healthcare, telecommunications, and public administration. Education: PhD in Insurance, Legal, and Economic Sciences (Pontifical University of Salamanca), MBA (IE Business School), MA in Romance Languages (University of Georgia), and multiple postgraduate degrees. His research explores gamification in behavior management, digital transformation in traditional enterprises, and strategic infrastructure requirements in specialized industries. Publications demonstrate interdisciplinary engagement with business management, behavioral economics, and technological innovation. Recent work trends highlight applications of gamification in corporate training (e.g., call centers), risk behavior analysis, and the intersection of democracy and technology . His scientific awards include the Premio Extraordinario de Doctorado 2015 from Pontifical University of Salamanca. Collaborations: IE Business School, Externado University (Colombia), ESAN Peru, Carlos III University, ENAE Business School, and Mapfre Foundation. Professional roles include Managing Director at Instituto Madrileño de Estudios Avanzados, CEO of Professional Training/European Learning Association, and Senior Consultant at Accenture and Price Waterhouse. Contact: fmamigo@ucjc.edu

Jens Horst GundlachView profile

Professor

• Experimental Gravitational Physics
• Precision Mechanical Measurements
• Biophysics
• +5 more

Jens H. Gundlach is a Professor in the Department of Physics at the University of Washington, where he has been a faculty member since 1993, progressing from assistant professor (1993-1998) to associate professor (1998-2004) and full professor (2004-present). He is a member of the University of Washington's Center for Experimental Nuclear Physics and Astrophysics (CENPA) since its founding in 2000 and also participates in major collaborations including LIGO and LISA (Laser Interferometer Space Antenna). Gundlach's research spans two major fields: experimental gravitational physics and biophysics. In gravitational physics, he is renowned for developing precision torsion balance techniques to measure the gravitational constant and test fundamental principles of gravity. His 2000 measurement of G became the basis for the CODATA value since 2006. His work with the Eöt-Wash Group has tested the equivalence principle and searched for deviations from Newtonian gravity that might indicate new physics. Since approximately 2002, he has pioneered research in biophysics, particularly developing nanopore sequencing technology using the MspA protein. His group demonstrated DNA sequencing capabilities with this technology in 2008 and 2012, enabling single-nucleotide resolution analysis. His recent publications show continued activity in both fields, with gravitational physics work focusing on dark matter detection and equivalence principle tests, while his biophysics research advances nanopore technology for DNA sequencing, protein analysis, and single-molecule enzyme studies. His nanopore work has evolved into a sophisticated platform called SPRNT (Single-molecule Picometer Resolution Nanopore Tweezers) that can track molecular movements at unprecedented resolution. Scientific Awards Francis M. Pipkin Award of the American Physical Society (2001) Elected Fellow of the American Physical Society (2009) for "contributions to precision mechanical measurements and our quantitative understanding of the strength of gravity" Breakthrough Prize in Fundamental Physics (2021) jointly with Eric Adelberger and Blayne Heckel for "precision fundamental measurements that test our understanding of gravity, probe the nature of dark energy, and establish limits on couplings to dark matter" Gundlach leads an active research group that bridges physics and biology, securing grants from both physical science and biomedical funding agencies. His laboratory work combines precision mechanical measurements with single-molecule biophysics, creating innovative tools that have applications across multiple scientific disciplines. The group maintains strong connections with both the physics and bioengineering communities at the University of Washington. The Gundlach laboratory operates state-of-the-art facilities for both gravitational physics experiments (including torsion balances operating in high vacuum) and biophysics research (advanced nanopore instrumentation). His team collaborates extensively with other research groups at the University of Washington and internationally, particularly in the LIGO and LISA collaborations for gravitational physics work, and with biotechnology companies for nanopore sequencing applications.

Geah PressgroveView profile

Professor

• Public Relations
• Organization-Public Relationships
• Nonprofit Communications
• +3 more

Geah Pressgrove is a Professor of Public Relations at West Virginia University's College of Creative Arts and Media and Reed School of Media and Communications, where she teaches advertising/public relations courses and advises the award-winning WVU PRSSA chapter. Her work bridges academic theory and professional practice through 15+ years of agency and freelance experience with nonprofits, corporations, and government entities. Pressgrove's educational background includes: Bachelor's in Advertising, Western Kentucky University Master's in Integrated Communications, University of South Carolina Ph.D. in Mass Communications, University of South Carolina Her research centers on organization-public relationship dynamics, specifically examining how communication variables influence relationship quality, behavioral outcomes, and loyalty in nonprofit, corporate social responsibility, community, and political contexts. She focuses on developing robust measurement frameworks for relationship cultivation strategies, with particular emphasis on stewardship theory and its practical applications across diverse sectors. Analysis of her recent publications reveals consistent exploration of stewardship in public relations, relationship management in nonprofit contexts, and innovative pedagogical approaches. Her work demonstrates growing interdisciplinary connections between public relations, health communication, arts management, and political communication, often employing mixed-methods to address real-world challenges in donor retention, spokesperson credibility, and digital advocacy effectiveness. As an educator and practitioner, Pressgrove integrates extensive professional experience—working with foundations, healthcare organizations, and political campaigns—into her teaching and mentoring. Her leadership of the PRSSA chapter provides students with hands-on industry engagement while advancing public relations education through curriculum development focused on creativity and strategic communication.

• Software Engineering
• Formal Methods
• Autonomous Systems
• +3 more

Eduard Baranov is a Visiting Lecturer and Research Assistant at the Université catholique de Louvain, affiliated with the Louvain Polytechnic School (EPL) through the Computer Engineering Center (INGI) under the Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM). His work bridges academic research with industrial applications. Research Interests : Software engineering, formal methods, cybersecurity, autonomous systems, and model checking. His focus spans scalable coverage estimation, secure healthcare systems, and statistical validation of privacy protocols. Publications : Recent work includes t-wise coverage algorithms for software testing, formal verification of multi-agent autonomous systems, and privacy-preserving frameworks aligned with GDPR standards. His research often integrates symbolic execution and statistical model checking. Collaborations : Collaborates with researchers like Axel Legay, Kuldeep S. Meel, and Thomas Given-Wilson, contributing to journals such as IEEE Transactions on Software Engineering and ACM Transactions on Software Engineering and Methodology. Contact : Email: eduard.baranov@uclouvain.be | Office: INGI - Réaumur, L5.02.01, Place Sainte Barbe 2, 1348 Louvain-la-Neuve.

• Stochastic Processes
• Decision Making
• Quality Management

Demet Özgür Ünlüakın is an Assistant Professor at the Faculty of Engineering and Natural Sciences , Işık Üniversitesi , specializing in Industrial Engineering . She holds a Ph.D., Master's, and Bachelor's degree in Industrial Engineering from Boğaziçi Üniversitesi. Education Ph.D. (1997-2007): Boğaziçi Üniversitesi, Fen Bilimleri Enstitüsü/Endüstri Mühendisliği Master's (1995-1997): Boğaziçi Üniversitesi, Fen Bilimleri Enstitüsü/Endüstri Mühendisliği B.S. (1991-1995): Boğaziçi Üniversitesi, Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü Her research focuses include Stochastic Processes , Decision Making , and Quality Management , particularly in the context of maintenance optimization , dynamic Bayesian networks , and multi-component systems . She has supervised several Master's theses at Işık Üniversitesi and Boğaziçi Üniversitesi. Scientific awards are not explicitly mentioned in the provided data. Advised Students ŞİMAL EKİN DEMİRAL (2024 Thesis: Opportunistic maintenance of complex systems using dynamic Bayesian networks) İPEK KIVANÇ (2020 Thesis: Maintenance optimization of multiple component systems using probabilistic graphical models) BUSENUR TÜRKALİ (2020 Thesis: Evaluation of alternative maintenance strategies on a complex system in thermal power systems) AYŞE KARACAÖRENLİ (2019 Thesis: Analysis of different maintenance policies on a multi-component system using dynamic Bayesian networks) MUSTAFA BURAK AKTEL (2018 Thesis: Maintenance policy analysis of gate systems in hydroelectric power plants) MO'TASEM ABUSHANAP (2014 Thesis: Proactive maintenance of thermal power plants under limited observations) UMUT KÜÇÜKDURMAZ (2014 Thesis: Effects of recent IVR applications on call center performance in banking sector) ELİF ANILGAN (2012 Thesis: Statistical analysis and capacity planning of a third-level neonatal unit) Her projects include ICT-enabled Bee Foraging Sites and Beekeeper Routes Optimization and Opportunistic Maintenance using Dynamic Probabilistic Networks . She teaches courses such as Engineering Statistics , Quality Planning and Control , and Stochastic Processes .

• Solar Energy
• Renewable Energy Systems
• Thermal Energy Storage
• +7 more

Prof. Dr. İlker Tari is a distinguished academic in Mechanical Engineering, currently serving as a Professor at FMV Işık University , Istanbul, Turkey. Previously, he held a Professor position at Middle East Technical University (METU) from 1998-2022 and served as Visiting Professor at Technische Univ. München (2010-2012). His research focuses on Solar Energy Applications , Thermal Energy Storage , and Computational Heat Transfer . Education: PhD, Mechanical Engineering - Northeastern University (1998) SM, Nuclear Engineering - MIT (1994) MS, Nuclear Engineering - University of Michigan (1991-1994) BS, Nuclear Energy Engineering - Hacettepe University (1983-1987) Research Interests: His work specializes in: Solar Energy Systems for industrial applications and hybrid storage Thermal Management of electronics and fuel cells Radiative Transfer modeling in particulate media Fluidized Bed Technologies for energy storage Computational Fluid Dynamics (CFD) and DEM methods 3D Printing Applications in mechanical systems Scientific Contributions: Recent publications focus on: Advanced solar cooling systems Hybrid energy storage with phase change materials Mechanical properties of particle beds CFD-DEM integration for thermal modeling Optimization of industrial solar hybridization Renewable energy system analysis Student Supervision: Has supervised over 40 graduate theses including: Furkan Enes Yıldırım - 2025 Deniz Değirmenci - 2022 Ender ÖZDEN - 2015 Mehdi MEHRTASH - 2017 Özgür BAYER - 2009 Ömer EMRE ORHAN - 2007 Key Projects: EU H2020 INSHIP (2017-2020) TUBITAK 217M062 Solar Dryer (2017-2020) EU H2020 SFERA-III (2019-2023) EU H2020 SolarTwins (2020-2023) ECOSun Solar-ERANET (2020-2023) InnoSolPower CSP-ERANET (2021-2024) Professional Affiliations: President, International Center for Heat and Mass Transfer (2019) Member, Turkish Cogeneration Association (2021) Member, Turkish Thermal Science and Technology Association (2018) Member, American Society of Thermal and Fluids Engineers (2015)

Atsushi FukadaView profile

Professor

• Pragmatics
• Japanese Linguistics
• Computer-Assisted Language Learning
• +3 more

Atsushi Fukada is a Professor at Purdue University, affiliated with the School of Languages and Cultures and the School of Integrative Studies . Holding a Ph.D. in Japanese Linguistics from the University of Illinois at Urbana-Champaign, he specializes in pragmatics, computer-assisted language learning (CALL), and foreign language education. University: Purdue University School: School of Languages and Cultures; School of Integrative Studies Research Focus: Oral fluency assessment tools, CALL curricula, Japanese language pedagogy Research Interests center on applying technology to language education, analyzing speech patterns in L2 learners, and developing standardized oral proficiency metrics. His work explores virtual instructors, timed dictation methods, and longitudinal fluency studies. Recent Publication Trends highlight Computer-Assisted Language Learning innovations, oral fluency analytics via software tools, gamification in language acquisition , and online curriculum frameworks for Japanese and Chinese instruction. Articles span 2013–2023, emphasizing CALL integration and multimodal language practice . Contact: Office at SC G020, email afukada@purdue.edu

Gabor MarthView profile

Professor

• Computational Genomics
• Precision Oncology
• Rare Disease Diagnostics
• +3 more

Gabor Marth is a Professor of Human Genetics and Co-Director of the Utah Center for Genetic Discovery at the University of Utah Medical School. Holding the H.A. and Edna Benning Presidential Endowed Chair , he develops computational tools for genomic analysis, including standardized formats like SAM/BAM and VCF . His lab focuses on precision oncology, rare disease diagnostics, and somatic mosaicism discovery, with funding from NIH institutes and private foundations. Current Research Areas Machine learning for cancer therapy selection Reference-free somatic mutation detection Phenotype-driven patient matching Real-time genomic data visualization Leadership Roles Principal Investigator, NHGRI/NIH grants Co-founder & Chief Scientific Officer, Frameshift Genomics Scientific Advisory Board, Ontario Institute for Cancer Research His team has published extensively on variant calling algorithms, tumor subclone reconstruction, and clinical implementation of genomic tools. Recent work includes deep learning frameworks for breast cancer treatment selection and single-cell RNA sequencing applications in neurological disorders. Scientific Awards : H.A. and Edna Benning Presidential Endowed Chair Advisees : Gage Black (Bioinformatics Scientist) Isabelle Cooperstein (PhD Student) Taeho Kim (PhD Student) Patrick Ozark (MD/PhD Student) Aniruddh Saxena (PhD Student) Casey Sederman (MD/PhD Student) Stephanie Gardiner (PhD Student) Lab members also include senior software engineers and researchers working on clinically driven variant analysis and tumor modeling.

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +7 more

Paulo Miguel Torres Duarte Quaresma is a Full Professor at the Department of Informatics, Universidade de Évora, Portugal, and Senior Researcher at Centro ALGORITMI. His career spans roles as Vice-Rector for Research and Innovation (2022–2025), Director of the School of Science and Technology (2009–2013), and Member of FCT’s Board of Directors (2021). Holding a PhD in Informatics (specialized in AI/NLP) from Universidade Nova de Lisboa and a Habilitation in Informatics from Universidade de Évora, he leads the AI & BigData Lab (equipped with 10 petaflop NVIDIA DGX-A100 supercomputers) and co-coordinates PORTULAN CLARIN, a €2M FCT-funded language technology infrastructure. Current Affiliation: Universidade de Évora (since 1997) Research Labs: AI & BigData Lab, PORTULAN CLARIN, VISTA Lab, NOVA LINCS (2019–2021) His research focuses on Artificial Intelligence and Natural Language Processing , with applications in legal reasoning , medical informatics , geospatial accident analysis , and semantic web technologies . Recent work includes creating European Portuguese BERT models, analyzing 18th-century health texts, and developing AI solutions for clinical triage. Advising highlights include supervising 7 PhD and 26 MSc theses. He chairs international conferences like PROPOR (2020) and IDEAL (2023), and participates in projects integrating AI with public administration and regional development through Alentejo2020 funding.

Antonio RibeiroView profile

Researcher

• Bioinformatics
• Computational Biology
• DNA Sequence Analysis
• +3 more

Dr. Antonio Ribeiro serves as a Bioinformatician at the Centre for Genome-Enabled Biology and Medicine (CGEBM) within the School of Medicine, Medical Sciences and Nutrition at the University of Aberdeen. He joined the institution in August 2015, bringing extensive expertise in DNA sequence alignment, SNP calling, and next-generation sequencing data analysis. His technical proficiency spans Bash scripting, Java, and Perl for developing and optimizing bioinformatics pipelines. Dr. Ribeiro holds an MSc in Computational and Systems Biology from FIOCRUZ-RJ in Brazil, along with specializations in Computer Networks (PUC-Rio) and Information Systems Development (NCE-UFRJ). Prior to his academic career, he accumulated over 20 years of industry experience as a Customer Service Engineer with companies including Nokia-Siemens Networks and Xerox. His research focuses on advanced bioinformatics applications in microbial genomics, molecular epidemiology, and NGS data analysis. Dr. Ribeiro's work bridges computational methods with medical and biological applications, particularly in bacterial pathogen analysis, antimicrobial resistance studies, and genomic variation detection. His technical background enables sophisticated analysis of complex genomic datasets across diverse biological contexts. Analysis of his publication history reveals a strong trajectory in computational genomics with increasing focus on medical applications. His recent work (2023-2025) centers on molecular epidemiology of bacterial bloodstream infections, antimicrobial resistance mechanisms, and clinical applications of genomic analysis. Earlier publications (2012-2016) demonstrate foundational work in NGS data processing, SNP validation, and bioinformatics tool development. Dr. Ribeiro's technical expertise in processing and analyzing NGS data using both third-party open-source tools and custom scripts positions him at the intersection of computational science and biological research. His work supports critical medical research through advanced genomic analysis capabilities, contributing to understanding of bacterial pathogens, antimicrobial resistance, and genomic variation.