جست‌وجوی استاد و پژوهشگر

Tom Brinckمشاهده پروفایل

عضو هیئت علمی

• Human-Computer Interaction
• User Experience (UX) Design
• Accessibility
• +۴ مورد دیگر

Tom Brinck is an **Adjunct Lecturer** at the **INFO College, University of Maryland**, specializing in Human-Computer Interaction and User Experience (UX) Design. He holds a dual role as a Board Member at the Palo Alto Art Center Foundation. His career spans over two decades of leadership in design and innovation, with roles at Amazon (A9.com), Samsung, Cisco (via Broadsoft acquisition), and Bellcore, alongside founding RetroAccess, a startup focused on accessibility. **Education & Background**: Tom’s academic journey includes advanced studies in collaborative systems and UX design, reflected in his graduate work on collaborative whiteboards and subsequent industry contributions. He has taught graduate UX courses at the University of Michigan and Academy of Art University, co-authoring the influential book *Usability for the Web*. **Research Focus**: His work emphasizes accessibility, usability evaluation, and collaborative technologies. Early contributions include foundational research in groupware and videoconferencing systems, while recent efforts focus on UX in telecommunication platforms and AI-driven learning systems. **Industry Impact**: Tom’s career highlights include pioneering accessibility standards at RetroAccess, leading UX teams at Samsung and Cisco, and innovating search and advertising UX at Amazon. His work bridges academia and industry, emphasizing practical solutions for inclusive design and measurable ROI in usability investments. **Labs & Teams**: He directed UX Innovations labs at Samsung and led Calling UX teams at Cisco, demonstrating expertise in scaling UX practices across large organizations. His board role at the Palo Alto Art Center Foundation reflects his commitment to interdisciplinary creativity.

Travis Browningمشاهده پروفایل

استاد

• Radiology
• Medical Imaging
• Clinical Informatics
• +۳ مورد دیگر

Travis Browning, M.D., is a Professor of Radiology at UT Southwestern Medical Center and Vice Chair of Strategic Analytics for the Department of Radiology. He serves as a Medical Director of Medical Informatics at Parkland Memorial Hospital. His clinical expertise spans abdominal and pelvic imaging, fluoroscopy, and non-obstetric ultrasound. Dr. Browning holds a B.S. in Biochemistry from Texas Christian University and an M.D. from UT Southwestern Medical School, completing residency and fellowship training in diagnostic radiology and abdominal imaging there. His research focuses on clinical informatics and healthcare technology, including electronic medical record systems, voice recognition tools, and 3-D imaging applications. He has led projects optimizing Parkland's IT infrastructure and electronic peer review systems. Dr. Browning chairs the Radiology Campus Collaborative Committee and participates in multiple national organizations like the American College of Radiology and Society of Abdominal Radiology. He has authored/co-authored over 10 peer-reviewed articles on topics like structured reporting, telemedicine, and AI applications in radiology. His work emphasizes improving diagnostic accuracy and workflow efficiency through technology integration. Dr. Browning is also a reviewer for journals such as Abdominal Imaging and contributes to medical education through residency program committees.

Levent Yilmazمشاهده پروفایل

پژوهشگر

• Human Resource Management
• Behavioural and Experimental Economics
• Labour Market Studies
• +۳ مورد دیگر

Dr. Levent Yilmaz is a Senior Scientist at the University of Salzburg's Department of Business Human Resource Management, within the Faculty of Law, Business and Economics. He holds a PhD in Economics from Goethe University Frankfurt and an MSc. Previously, he served as an Assistant Professor in Experimental Economics and Human Resource Management at the University of Innsbruck (2012–2017) and as a long-term DAAD lecturer at the Turkish-German University (TDU) in Istanbul. His research focuses on Human Resource Management, Behavioural and Experimental Economics, Migration and Labour Market Entry, Entrepreneurship, and Quantitative Methods. Dr. Yilmaz’s work bridges theoretical and applied economics, addressing topics such as pay transparency’s impact on gender disparities, non-cognitive skills of immigrants, and reproducibility in management science. He contributes to both teaching and research at the University of Salzburg, emphasizing evidence-based approaches. His recent publications (2021–2024) explore labor market dynamics, experimental economics, and policy implications of transparency reforms. His academic career demonstrates a commitment to international collaboration and interdisciplinary research, with notable contributions to understanding labor market behavior and migration economics. Dr. Yilmaz’s current role enhances the department’s research profile through innovative studies at the intersection of human resources and experimental methodologies.

Bo Friis Nielsenمشاهده پروفایل

استاد

• Queueing Theory
• Matrix Analytic Methods
• Stochastic Processes
• +۳ مورد دیگر

Bo Friis Nielsen is a Professor and Head of Section in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on queueing theory, particularly matrix-analytic methods, with applications in telecommunication systems and service optimization. He currently supervises PhD students working on projects with Danske Bank (call center efficiency) and DSB S-tog (passenger counting for transport planning). His teaching includes probability theory and stochastic simulation. Education/Background: Formal academic qualifications not explicitly listed in the text. Affiliations: Head of the Mathematical Modelling Section since 2003, affiliated with DTU Compute. Research interests span theoretical advancements in queueing models and practical applications in transportation, healthcare, and industrial systems. He has collaborated with companies like Danske Bank and DSB S-tog, addressing real-world operational challenges. Recent work includes predictive maintenance strategies for multi-component systems and railway defect analysis. Publications emphasize stochastic modeling, maintenance optimization, and transportation analytics. Projects involve developing tools for public transport efficiency and reliability engineering in wind turbines and power plants.

• Customer Relationship Management
• Customer Experience Management
• Change Management
• +۴ مورد دیگر

Prof. Nils Hafner is a Professor of Customer Management in the Financial Industry at Lucerne University of Applied Sciences and Arts (Lucerne School of Business). He holds a doctorate in innovation management/marketing and has extensive consulting experience with global firms like UBS and Deutsche Bank. His research focuses on customer relationship management (CRM), customer experience (CX), and digital transformation in banking. He leads academic programs in digital banking and AI transformation and advises on CX strategies. Education: Studied business administration, psychology, philosophy, and modern history at universities in Kiel and Rostock. Doctorate from University of Rostock (2000) on service quality in call centers. Research Interests: CRM innovation, AI-driven customer dialog, financial services marketing, and change management. Notable projects include the CEX Trend Radar and conversational banking studies. Author of bestselling books on CRM and CX. Advisory Roles: Member of Forward Consulting's board, EconBiz scientific advisory board, and Contact Management Magazine advisory board. Clients include over 120 companies across Europe. Labs/Teams: Leads research at the Institute of Financial Services Zug (IFZ), focusing on fintech, conversational AI, and customer journey optimization.

Valentin Valtchevمشاهده پروفایل

پژوهشگر

• Heterogeneous Catalysis
• Infrared Spectroscopy
• Zeolites
• +۴ مورد دیگر

Valentin Valtchev is a Senior Researcher (Classe exceptionnelle) at the CNRS, affiliated with the Laboratoire Catalyse et Spectrochimie (LCS) in Caen, France. He holds a Doctorat in Chemistry (2000) and a Habilitation à Diriger des Recherches (2008) from Université de Caen Normandie. His career includes leadership roles such as Head of the "Catalysis for Energy and Chemistry" group (2014-2018), Scientific Director of ENSICAEN's Research Center (2011-2014), and Director of the Maison française d’Oxford (2016-2020). His research focuses on heterogeneous catalysis, zeolites, in situ/operando infrared spectroscopy, and sustainable energy materials. Education: Doctorat en Chimie (2000), Université de Caen Habilitation à Diriger des Recherches (2008), Université de Caen Postdoctoral Fellowship at University of Cambridge (2003-2004) Research Interests: Valentin's work centers on catalysts for clean fuel production, hydrogen generation, and CO₂ reduction. He develops advanced materials like zeolites and covalent organic frameworks (COFs), with emphasis on structure-activity relationships and operando spectroscopic techniques. Key applications include biofuel upgrading, plastic waste valorization, and carbon capture technologies. Awards & Honors: Prix de la Division Catalyse, Société Chimique de France (2000) Toyota Research Call laureate (2007) Senior Associate, Pembroke College, Oxford (2017-2021) Grants & Collaborations: He coordinates major projects like the EU-funded e-CODUCT (CO₂ reduction via catalytic reactors) and the ANR programs ECOHDOC and BIOSYNGOP. Industrial partnerships include Total, Michelin, and Grace Davison. His research spans academic-industrial collaborations in France, Europe, and the U.S. Labs & Teams: He leads a research group of ~15 members at LCS, specializing in catalytic materials and operando studies. His team collaborates internationally on topics like methane hydrate storage and CO₂ conversion.

Mark E. Lewisمشاهده پروفایل

استاد

• Operations Research
• Stochastic Modeling
• Health Systems
• +۷ مورد دیگر

Mark E. Lewis is the Maxwell M. Upson Professor of Engineering at Cornell University, affiliated with the School of Operations Research and Information Engineering within the College of Engineering. He previously served as an Associate Dean and Senior Associate Dean for diversity and faculty development in Cornell Engineering, and co-founded the INFORMS Minority Issues Forum to support underrepresented minorities in academia. His leadership roles include chairing the INFORMS Applied Probability Society and serving on the Provost’s Task Force to Enhance Faculty Diversity. Education: Ph.D. in Industrial & Management Engineering (Georgia Tech, 1998), Master’s in Theoretical Statistics (Florida State, 1995), and undergraduate degrees in Mathematics and Political Science (Eckerd College, 1992). Postdoctoral work at the University of British Columbia’s Center for Operations Excellence. Prior faculty positions at University of Michigan and University of Michigan. Research focuses on dynamic control of service systems using stochastic dynamic programming and Markov decision processes. Key areas include resource allocation in queueing networks, inventory systems, transportation, and healthcare. Sub-areas involve bias optimality, non-stationary systems, and MDP convergence. Applications span telemedicine, emergency medical services, and large-scale computing networks. Recent publications emphasize telemedicine physician staffing, constrained queueing optimization, and flexible server scheduling in dynamic systems. Articles reflect a strong focus on healthcare systems, network science, and stochastic control. Recipient of Faculty Award for Excellence in Research, Teaching & Service through Diversity (2021) PECASE Award (2002) Frontiers on Engineering Participant (2007) Named INFORMS president-elect for 2025-2026 Advising contributions include mentoring doctoral students in diversity-focused programs and co-creating the Ephraim Garcia Engineering Society. Grants secured include funding for Cornell Sloan and Colman fellowships for underrepresented students, and postdoctoral fellowships. He also oversees Diversity Programs in Engineering to provide academic support for first-generation and minority students. Labs/Teams: Active in Cornell’s Office of Faculty Development and Diversity, co-chair of the 2009 INFORMS Applied Probability Conference, and collaborates with the Cornell Center for Health Equity (through service roles).

Kejia Huمشاهده پروفایل

دانشیار

• Service system design
• Forecasting
• Human-algorithm interaction
• +۳ مورد دیگر

Dr. Kejia Hu is an Associate Professor in Management Science at the Saïd Business School, University of Oxford, and a Governing Body Fellow of Exeter College. Her research focuses on unlocking business value through human-AI collaboration, emphasizing the synergy between human insight and technology. She holds editorial roles at Production and Operations Management (Senior Editor) and the Journal of Operations Management. Her work bridges academia and industry, collaborating with Fortune 500 companies and contributing to service systems, forecasting, and algorithmic interaction research. Education: PhD in Operations Management, Northwestern University (2017) MS in Statistics, University of California, Davis (2013) BS in Statistics, Fudan University (2011) Research Interests: Dr. Hu explores service system design, forecasting methodologies, and human-algorithm interaction dynamics. Her work addresses operational strategies in healthcare, retail, and service industries, with a focus on optimizing decision-making processes through technology integration. Awards: 2023 QUIS Rising Star Award for Research Excellence 2023 Poets and Quants '40 Under 40' recognition 2022 Vanderbilt Research Productivity Award Professional Activities: Leadership roles in POMS and INFORMS, editorial board memberships, and industry collaborations. Her research has policy implications for environmental regulations and healthcare system optimization.

Florian Tramèrمشاهده پروفایل

استادیار

• Computer Security
• Machine Learning
• Privacy-Preserving Technologies
• +۲ مورد دیگر

Florian Tramèr is an Assistant Professor of Computer Science at ETH Zurich, leading the SPY Lab. His research focuses on computer security, privacy, and adversarial machine learning, particularly studying vulnerabilities in deep learning systems. He holds a PhD from Stanford University and previously worked at Google Brain. Education: Bachelor's and Master's from EPFL (Switzerland), PhD from Stanford University. Research Interests: Adversarial machine learning, privacy-preserving technologies, cryptography, and evaluating AI safety through frameworks like AgentDojo. His work addresses societal impacts of rapidly deployed machine learning systems. Awards: Two Best Paper Awards at ICML 2024, CAIS SafeBench competition win, Google/Amazon Research Awards. His research has been featured in Nature , Science , and The Economist . Labs/Teams: SPY Lab (ETH Zurich), part of the Information Security Institute and ZISC. Associated with ETHZ AI Center. Advises PhD students on AI safety and security topics.

Dietmar Kilianمشاهده پروفایل

استاد

• Project Management
• Digitalization
• Industry 4.0
• +۳ مورد دیگر

Professor Dietmar Kilian is a prominent academic and industry leader at MCI Management Center Innsbruck, where he serves as a Professor and Head of the Department of Project/Process/Management & Business Networks. He holds a Dr. in Business Administration & Education and a Mag. in Political Science, Business Administration, and Education from the University of Innsbruck. His career spans over 40 years in leadership roles across academia, industry, and consulting, including CEO of Kilian-Consulting, Managing Partner at PDAgroup GmbH, and roles at SAP Austria and Digital Equipment. Research & Interests: Kilian’s work focuses on Project Management, Digitalization, Industry 4.0, and organizational change. He has published extensively on topics like agile methodologies, cloud computing, and workforce development. His research often bridges academic theory and industry practice, with projects funded by EU calls and collaborations with organizations like SAP and the Heidelberg Laureate Forum. Publications & Awards: Over 50 peer-reviewed articles, monographs, and conference papers highlight his contributions to fields like ERP systems, knowledge management, and digital transformation. He received the SAP UA Award for Innovation & Networking (2020) and has led projects like HLFF inspiring minds and OPENSKIMR. Grants & Leadership: Kilian has secured multiple grants, including EU projects on skill-job matching and innovation analysis. He advises numerous organizations, chairs supervisory boards (e.g., Academy Cube gGmbH), and serves on boards of academic and industry associations. He supervises over 200 theses, mentoring students in areas like supply chain optimization and AI-driven decision-making. Labs & Teams: His work involves collaborative initiatives like the SAP Academic Board DACH and partnerships with universities globally. He co-edits conference proceedings and chairs events like the SAP Academic Community Conference, fostering industry-academia linkages in digitalization and project management.

Fabrizio Rossiمشاهده پروفایل

استاد

• Integer Programming
• Combinatorial Optimization
• Network Optimization
• +۸ مورد دیگر

Fabrizio Rossi is a Full Professor of Operations Research at the University of L'Aquila, Department of Information Engineering, Computer Science and Mathematics. He has been a member of the Board of Administration at the university since 2019 and previously from 2010 to 2012. His academic career spans over two decades, including roles as Associate Professor (2005–2019) and Assistant Professor (1997–2002). Education: Ph.D. in Operations Research, University of Rome 'La Sapienza' (1996) Laurea Degree in Electrical Engineering, University of Rome 'La Sapienza' (1992) Visiting Student in IEOR at Columbia University, New York (1996) Operations Research School, Scuola di Matematica Interuniversitaria (1996) Research Interests: Fabrizio Rossi specializes in large-scale optimization methodologies, including Integer Programming and Combinatorial Optimization. His work addresses complex applications in telecommunications network design, manufacturing process optimization, logistics systems, and healthcare. Recent innovations include algorithms for DNA sequence optimization and tumor classification using machine learning. He focuses on practical solutions through advanced techniques like lift-and-project operators and robust optimization frameworks, with significant contributions to scheduling and resource allocation in call centers and satellite missions. Scientific Awards: Informs Computing Society Prize (2014) (collaborative with Jim Ostrowski, Jeff Linderoth, Stefano Smriglio) Finalist, Euro Excellence in Practice Award (2006) for research on terrestrial broadcasting migration Advising and Grants: As a project leader, he coordinated major initiatives such as: PRIN 2010–2012 : Integer Programming methods for radio transmission networks 2008–2009 : Analog-to-digital broadcasting migration optimization IST SAILOR Project (2002–2005) : Satellite UMTS emulation systems He also contributed to European Space Agency's MAS Project (2004–2006) and collaborated with Italian regulatory bodies on telecommunication projects. His research portfolio includes over 50 projects since 1993, emphasizing real-world applications in manufacturing, logistics, and healthcare systems. Labs/Teams: His research is conducted within the Department's optimization groups and industry partnerships. Collaborations include ESA satellite scheduling, RAIWay frequency assignment, and healthcare institutions for treatment planning systems.

• Fuzzy Logic
• Artificial Intelligence
• Automated Scheduling
• +۲ مورد دیگر

Wolfgang Slany is Professor at Vienna University of Technology focusing on AI applications in scheduling systems. His research develops domain-specific languages and hybrid algorithms for workforce optimization in healthcare, call centers, and industrial settings. Key research areas: Fuzzy logic in AI systems Automated shift planning Break scheduling heuristics Test automation frameworks Publications demonstrate iterative development of the TEMPLE modeling language for staff scheduling. Recent work combines constraint programming with local search techniques to solve complex real-world scheduling problems across supervision systems and manufacturing environments.

Ohad Perryمشاهده پروفایل

دانشیار مدعو

• Stochastic Models
• Applied Probability
• Service Systems
• +۴ مورد دیگر

Ohad Perry is an Adjunct Associate Professor in the Department of Industrial Engineering and Management Sciences at Northwestern University under the McCormick School of Engineering . He holds a Ph.D. and M.S. in Operations Research from Columbia University and a B.Sc. in Mathematics and Statistics from the University of Haifa . Research Interests : Stochastic models and applied probability Queueing theory for service and healthcare systems Performance analysis and control of stochastic systems Inventory and contact center optimization Recent Publications : Focus on polling systems , patient flow dynamics , stability of parallel servers , and fluid-diffusion hybrids in priority queues. His work spans theoretical advancements (e.g., Stochastic Systems ) and applied implementations (e.g., Stroke ). Scientific Awards : 2020 APS Best Student Paper Award (as advisor for Hu Y. et al.) Advising and Grants : Co-advisor to doctoral graduates now at HKUST , Tsinghua University , and Stanford GSB . Recipient of multiple NSF grants (2014-2023) and Northwestern Memorial Hospital funding.

Zoey Zhiyu Chenمشاهده پروفایل

استادیار

• Artificial Intelligence
• Natural Language Processing
• Healthcare Technology
• +۳ مورد دیگر

Zoey Zhiyu Chen is an Assistant Professor in the Department of Computer Science at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. Her research focuses on advancing artificial intelligence, particularly in natural language processing (NLP), healthcare technology, financial technology, and dialogue systems. She explores the application of large language models (LLMs) in critical domains such as mental health therapy, cognitive behavior therapy (CBT), and finance, emphasizing robustness and ethical considerations. Key research areas include hypothesis discovery, rule learning, patient simulation for mental health training, and improving medical predictions through multimodal data analysis. Her work also addresses challenges in retrieval-augmented models, agentic search optimization, and zero-shot dialogue state tracking. Chen’s contributions span theoretical advancements in AI reasoning and practical applications in societal domains like law and healthcare. Her articles highlight trends in leveraging LLMs for clinical support, financial analysis, and improving human-AI interaction through preference learning and function calling mechanisms. She advocates for responsible AI development, as seen in studies on energy efficiency benchmarks (Hulk) and domain-specific robustness (RobustFin).

Donato Masiمشاهده پروفایل

مدرس ارشد

• Sustainable Operations Management
• Supply Chain Management
• Digitalization in Manufacturing
• +۳ مورد دیگر

Dr. Donato Masi is a Senior Lecturer in Operations Management at Aston Business School, part of the College of Business and Social Sciences at Aston University. He holds a PhD in Management Engineering and an MSc in Mechanical Engineering from Politecnico di Milano, Italy. His research focuses on sustainable operations, supply chain management, digitalization, and Industry 4.0 applications, particularly in enhancing sustainability through technology integration. He actively collaborates with industry on projects funded by public and private sectors, emphasizing practical solutions for SMEs and circular economy frameworks. Dr. Masi's educational background includes advanced degrees in engineering, positioning him to bridge technical and managerial challenges in operations. His work often addresses challenges in occupational health and safety in SMEs, leveraging systems thinking and action research methodologies. He contributes to policy development in cybersecurity for supply chains and leads the Aston Cyber Security Innovation (CSI) Centre in related initiatives. His recent research explores AI-driven pricing strategies, digital transformation in SMEs, and the temporal/spatial dynamics of sustainable urban agglomerations. He emphasizes the need for frameworks that align eco-industrial practices with stakeholder engagement and regulatory policies. His articles highlight trends in supply chain finance, circular economy implementation, and productivity measurement in manufacturing. Dr. Masi has advised numerous industry projects and contributed to policy reports, such as the UK’s Department for Digital, Culture, Media and Sport’s cybersecurity call for views. His teaching includes courses on International Operations, Supply Chain Management, and Sustainable Operations at both undergraduate and MBA levels.