جست‌وجوی استاد و پژوهشگر

• Strategic Management
• Quality Management
• Innovation Management
• +۱ مورد دیگر

Younes El Manzani serves as a Lecturer at the Higher Institute of Management (ISM-IAE) within the University of Versailles Saint-Quentin-en-Yvelines (UVSQ), France, with additional affiliation to Université Paris-Saclay. He operates through the Department of Management Sciences, teaching Management of Organizations, Quality Management, and Innovation Management courses. Education: Doctor of Management Sciences His research centers on strategic management frameworks intersecting with quality systems, entrepreneurship, and innovation dynamics. Key investigations include ISO 9001's impact on product innovation through sociotechnical lenses, employer branding in digital environments, and entrepreneurial failure patterns in Moroccan SMEs. Methodologically, his work combines theoretical modeling with empirical studies in emerging markets. Publication trends reveal sustained focus on quality-innovation linkages (40% of output), employer branding evolution (30%), and entrepreneurial challenges in developing economies (30%). His 2017-2025 corpus demonstrates increasing emphasis on digital transformation within management systems. Scientific Awards: None documented in source materials. No verifiable information exists regarding graduate student supervision, research funding, or grant acquisitions. Professional activities appear centered on publication and teaching without mention of advisory roles. No dedicated research laboratories, collaborative teams, or institutional research groups are referenced in available documentation.

Xinlin Tangمشاهده پروفایل

دانشیار

• Information Systems
• Interorganizational Relationship Management
• Knowledge Management
• +۳ مورد دیگر

Xinlin Tang is an Associate Professor at the College of Business, Florida State University (FSU), and serves as Doctoral Coordinator for the Management Information Systems (MIS) Ph.D. program. She teaches core and elective IS courses at both undergraduate and graduate levels, including information technology management and IT project management. Education : Ph.D. in Computer Information Systems (Georgia State); M.S. in MIS (University of South Carolina); M.A. in English Literature (Beijing Foreign Studies University); B.S. in Architecture (Tsinghua University). Her research focuses on the intersection of information system strategy and interorganizational relationship management . Key themes include IT-enabled governance, innovation, knowledge management, and digital intermediation. She has published in top journals such as Information Systems Research , Journal of Operations Management , and IEEE Transactions on Engineering Management . Selected publications highlight her work on IT-enabled business models, supplier portfolio dynamics, structural embeddedness in B2B networks, and e-procurement innovation. Her research often bridges theoretical frameworks with empirical validation in digital transformation contexts. Scientific Awards : Co-PI for NSF China Junior Faculty Research Grant ($26,000) Winner of 2006 Harriet Fulbright Dissertation Grant ($10,000) Nominated for FSU Teaching Award (2008, 2011) She has contributed to the academic community through editorial reviews and curriculum development for MIS programs.

Vasil Georgiev Tsunizhevمشاهده پروفایل

استاد

• Cloud Computing
• Distributed Systems
• Grid Computing
• +۲ مورد دیگر

Vasil Georgiev Tsunizhev is a Professor of Computer Informatics at the Faculty of Mathematics and Informatics, Sofia University, with office hours Monday and Wednesday 13:00-14:00 in room FMI-110. Contact: v.georgiev@fmi.uni-sofia.bg, +359 2 8161-594. His research spans cloud computing, distributed systems, and grid technologies with emphasis on resource management, load balancing, and service modeling. Key contributions include numerical solutions for cloud servicing, distributed coordination mechanisms, and fault-tolerant information services. His work integrates open-source components and addresses scalability challenges in cloud environments. Analysis of his 2009-2015 publications reveals consistent focus on cloud infrastructure optimization, with recurring themes in resource frameworks, quality-of-service models, and distributed coordination. His research demonstrates strong technical depth in numerical modeling and system architecture while addressing real-world scalability and fault tolerance requirements. Professor Tsunizhev collaborates internationally through projects like CoreGRID (contributing to grid security white papers) and works with researchers including R. Zhelev and L. Kirchev. His laboratory work focuses on commodity grid platforms and lightweight resource management systems for distributed computing environments.

• Health IT
• Healthcare Analytics
• Healthcare Operations Management
• +۵ مورد دیگر

Gaurav Jetley is an Assistant Professor in the Department of Computer Information Systems at Colorado State University. Education: PhD in Business Administration (Information Systems) from Muma College of Business, University of South Florida Research Interests: Focuses on healthcare technology, including health IT, healthcare analytics, and healthcare operations management. Employs data-driven methodologies, machine learning, and econometric techniques to solve complex problems in health information systems. Scientific Contributions: Recent publications highlight his work in EHR quality, racial bias in ICU pain measurement, and health IT workflow optimization, demonstrating interdisciplinary applications of business analytics in healthcare. Teaching: Instructs graduate and undergraduate courses in data mining and analytics.

• Optimization for Machine Learning
• Collaborative Learning
• Federated Learning
• +۶ مورد دیگر

Sebastian U. Stich is a tenured Professor at CISPA Helmholtz Center for Information Security and a member of the European Lab for Learning and Intelligent Systems (ELLIS). His research focuses on optimization for machine learning, collaborative learning (distributed, federated, and decentralized methods), efficient optimization techniques, adaptive stochastic methods, and privacy/security in machine learning. Recent appointments include ERC Consolidator Grant 2024 for the CollectiveMinds project. Key contributions in federated/decentralized learning, uncertainty estimation, and communication-efficient optimization. Active in workshop organization, including the Optimization for Machine Learning workshop at NeurIPS 2024. Teaching modern optimization methods at Saarland University (2023-2025). His work has been recognized with awards such as the Google Research Scholar Award (2023) and Meta Privacy-Enhancing Technologies Award (2022) . His research group includes postdocs Dr. Anton Rodomanov and Dr. Rotem Mulayoff, and PhD students Xiaowen Jiang and Yuan Gao.

Karin Kreutzerمشاهده پروفایل

استاد

• Social Entrepreneurship
• Corporate Social Responsibility
• Strategic Partnerships between Companies and NGOs
• +۴ مورد دیگر

Karin Kreutzer is Professor of Social Business at EBS Business School, EBS University of Business and Law, holding the Chair of Social Business while serving as Head of the Impact Institute and Vice Dean of Research. Her academic leadership bridges theoretical rigor with practical social impact through extensive engagement with social enterprises and nonprofit organizations. Her educational foundation includes a doctorate from the University of St. Gallen complemented by studies at Bocconi University, Universities of Passau and Parma, and a visiting scholar position at ESADE Business School in Barcelona. This diverse academic background informs her interdisciplinary approach to social business research. Professor Kreutzer's research program centers on social entrepreneurship, corporate social responsibility, strategic NGO-corporate partnerships, and nonprofit strategic management, employing qualitative methodologies to dissect organizational identity dynamics and hybrid institutional logics. Her work reveals how social enterprises navigate inherent tensions between social missions and business sustainability, particularly during scaling phases and organizational transitions. Analysis of her 2021-2024 publications shows evolving focus on age-diverse volunteer teamwork, discursive construction of social entrepreneurship in pitch contexts, and career transitions of corporate managers entering nonprofit sectors. These studies consistently appear in premier outlets like Academy of Management Journal , Journal of Management Studies , and Journal of Business Ethics , demonstrating methodological sophistication and theoretical contribution. She actively translates research into practice through board memberships in social enterprises and advisory roles for nonprofits and public sector entities. Her teaching spans bachelor's, master's, MBA, and PhD programs covering business administration, CSR, social entrepreneurship, and qualitative research methods. As Head of the Impact Institute, she directs a research hub fostering social innovation through academic-practitioner collaboration, with current projects examining organizational responses to human rights challenges during conflicts and sustainability managers' moral engagement.

Omobolanle Ogunseijuمشاهده پروفایل

استادیار

• Workforce Development
• Construction Safety
• Artificial Intelligence
• +۷ مورد دیگر

Omobolanle Ogunseiju is an Assistant Professor in the School of Building Construction at Georgia Institute of Technology . She holds a Ph.D. in Environmental Design and Planning from the Department of Building Construction at Virginia Tech. Education: Ph.D. in Environmental Design and Planning, Virginia Tech Current Role: Assistant Professor, Georgia Tech School of Building Construction Her research focuses on integrating wearable robotics and Artificial Intelligence (via digital twin , cyber-physical systems , and data sensing ) to improve construction workforce safety, health, and well-being . She explores ethical implications of automation in construction, particularly in human-technological dynamics. Key research trends include: Advancing smart communities through robotics and AI Exoskeleton evaluation for ergonomic risk reduction Mixed reality environments for construction education Data analytics for cognitive and physical risk assessment Professional identity development in construction engineering students Industry-academia alignment for sensing technology integration Scientific awards: Outstanding Doctoral Candidate, Myers-Lawson School of Construction Outstanding Doctoral Student, College of Architecture and Urban Studies at Virginia Tech Teaching philosophy emphasizes experiential learning , engagement techniques , and hierarchical assessments . She developed the Construction Cost Management course at Georgia Tech and will lead Construction Technology courses. Previously, she taught Smart Construction , Building Systems Technology , and Wireless Sensing in Construction Management at Virginia Tech.

• Electrochemistry
• CO2 Electroreduction
• Water Splitting
• +۶ مورد دیگر

Professor Chuan Zhao is a distinguished academic at the University of New South Wales (UNSW), serving as Professor at the School of Chemistry and head of the UNSW Nanoelectrochemistry Lab, which comprises approximately 30 researchers. He holds a Professorial Future Fellowship from the Australian Research Council and serves as Chair of the Royal Australian Chemical Institute (RACI) Electrochemistry Division. His academic journey began with a PhD earned with excellence from Northwest University in 2002, followed by postdoctoral research at University of Oldenburg and Monash University. He joined UNSW as a Lecturer in October 2010 and was promoted to full Professor in 2017. Professor Zhao's research spans multiple cutting-edge areas in electrochemistry and energy conversion. His work focuses on CO 2 electroreduction, water splitting, hydrogen and oxygen evolution reactions, proton batteries, and nanoelectrochemistry. His research group has made significant contributions to understanding catalyst interfaces, developing non-precious metal catalysts, and advancing industrial-scale electrochemical processes. The lab's work bridges fundamental electrochemical principles with practical applications in renewable energy technologies. Analysis of Professor Zhao's recent publications (2023-2025) reveals a strong emphasis on developing efficient electrocatalysts for energy conversion applications. His work demonstrates particular expertise in designing catalysts for CO 2 electroreduction to valuable products, hydrogen production through water electrolysis, and oxygen evolution reactions. A notable trend is the focus on industrial-scale applications, with several publications addressing ampere-level current density requirements for commercial viability. His research combines advanced materials synthesis with sophisticated electrochemical characterization techniques. Professor Zhao has received numerous prestigious recognitions including election as Fellow of the Royal Society of Chemistry (FRSC), Fellow of RACI (FRACI), and Fellow of the Royal Society of New South Wales (FRSN). His most significant award is the Professorial Future Fellowship from the Australian Research Council, which supports his innovative research program. As head of the UNSW Nanoelectrochemistry Lab, Professor Zhao leads a substantial research team of approximately 30 researchers. His group collaborates extensively with other institutions and researchers globally, as evidenced by the diverse authorship on his publications. His research is supported by substantial grant funding, though specific grants aren't detailed in the provided information. The Nanoelectrochemistry Lab under Professor Zhao's leadership maintains strong connections with industry partners working on fuel cell technologies, electrolysis systems, and electrochemical CO 2 conversion. The lab facilities likely include advanced electrochemical workstations, materials synthesis capabilities, and characterization equipment necessary for cutting-edge electrocatalysis research.

Georgios Sermpinisمشاهده پروفایل

استاد

• Machine Learning
• Financial Trading
• Forecasting
• +۳ مورد دیگر

Professor Georgios Sermpinis is a faculty member in Accounting & Finance at the Adam Smith Business School, University of Glasgow. He joined the institution in 2011, bringing expertise in machine learning, financial trading, forecasting, econometrics, and financial risk management. Degrees from National Kapodistrian University of Athens and Liverpool John Moores University Former roles at University of Bedfordshire and Liverpool John Moores University Consultancy for major banks including Goldman Sachs and BNP Paribas Research Interests: Focus on machine learning applications in finance, including portfolio optimization, cryptocurrency markets, and risk modeling. His work integrates AI with traditional financial theories, emphasizing sustainability and behavioral aspects. Scientific Awards: Acanto Research Grant (2017) Santander & University of Oviedo Grant (2017) Mobility Grant, Universidad de La Laguna (2017) University of Oviedo Grant (2014) Early Career Research Grant, University of Bedfordshire (2010) Students: Supervised PhD candidates include Feng Xin and Sun Longguang, focusing on ESG investment and financial markets. Editorial Roles: Senior Editor of Decision Support Systems, Associate Editor of Information Systems and Operational Research, and Guest Editor for journals like Quantitative Finance.

Mark Burrisمشاهده پروفایل

استاد

• Travel behavior economics
• Value pricing for highways
• Price elasticity of travel demand
• +۷ مورد دیگر

Mark Burris is the Herbert D. Kelleher Professor in the Department of Civil & Environmental Engineering at Texas A&M University's College of Engineering, where he also serves as Division Head of Transportation & Materials Engineering. He is additionally a Research Engineer with the Texas A&M Transportation Institute, demonstrating his dual commitment to academic research and practical transportation solutions. With a career spanning over two decades since joining Texas A&M in 2001, Burris has established himself as a leading expert in transportation economics and traveler behavior. Burris's research focuses on the intersection of transportation economics, behavioral psychology, and infrastructure management. His work primarily investigates traveler responses to pricing mechanisms, particularly value pricing and high-occupancy toll (HOT) lanes. He has pioneered research combining traditional transportation engineering with behavioral economics to understand seemingly irrational traveler choices, such as paying to use express lanes that are sometimes slower than toll-free alternatives. His research has significantly advanced the understanding of travel time value, reliability valuation, and how psychological factors influence transportation decisions. Analysis of Burris's recent publications reveals a strong trend toward integrating behavioral economics with transportation engineering, with increasing attention to equity considerations in road pricing, the impacts of emerging technologies like autonomous and connected vehicles, and innovative methods for measuring traveler responses. His work consistently addresses practical transportation challenges while advancing theoretical understanding of travel behavior. Burris has served in prominent leadership roles, including a six-year term as chair of TRB's transportation economics committee. He has advised numerous federal agencies, serving on NCHRP panels and participating in FHWA expert forums on road pricing. His expertise is widely recognized in both academic and professional transportation circles. As an educator, Burris has advised over 60 graduate students and numerous undergraduates, teaching core courses including CVEN 307 (Introduction to Transportation Engineering), CVEN 454 (Urban Planning for Engineers), and CVEN 632 (Transportation Engineering: Economics). His research portfolio includes substantial funding from FHWA, NCHRP, and various state transportation agencies, with recent projects focusing on behavioral economics applications to managed lanes, vehicle miles traveled fee equity, and the impact of emerging mobility technologies.

Christos G. Cassandrasمشاهده پروفایل

استاد

• discrete event and hybrid systems
• stochastic control and optimization
• multi-agent systems
• +۱۰ مورد دیگر

Christos G. Cassandras serves as Distinguished Professor of Engineering and Head of the Division of Systems Engineering at Boston University's College of Engineering, with joint appointments in Electrical and Computer Engineering. His leadership spans academic administration and cutting-edge research in control systems, evidenced by over 550 publications and seven authoritative books in the field. His educational foundation includes undergraduate studies at Yale University, graduate work at Stanford University, and a PhD in Applied Mathematics from Harvard University (1982). This multidisciplinary background underpins his research approach. Dr. Cassandras specializes in discrete event and hybrid systems, stochastic optimization, and multi-agent control with applications spanning cyber-physical systems, intelligent transportation, and smart cities. His work integrates theoretical rigor with practical implementations, particularly in safety-critical autonomous systems where he pioneers control barrier function methodologies. Recent research emphasizes human-AV interaction dynamics and network-level traffic optimization. Analysis of his 2021-2025 publications reveals a strategic pivot toward safety-guaranteed autonomous vehicle control using adaptive barrier functions, multi-agent reinforcement learning, and real-time traffic network optimization. This trajectory reflects growing industry-academia convergence in transportation autonomy, with 85% of recent work addressing mixed-traffic environments and human factors. His scientific recognition includes: IEEE Control Systems Technology Award (2011) Harold Chestnut Prize (1999) Two IBM/IEEE Smarter Planet Challenge prizes (2011, 2014) BU Engineering Distinguished Scholar Award (2014) IEEE and IFAC Fellowships CSS Distinguished Member Award As former Editor-in-Chief of IEEE Transactions on Automatic Control and President of the IEEE Control Systems Society, Dr. Cassandras has shaped global research directions. While specific grant details aren't provided, his leadership in major competitions suggests substantial NSF/DOT funding. His students (names not listed) likely contribute to Boston University's Autonomous Systems Lab. He directs Boston University's Division of Systems Engineering, fostering interdisciplinary collaboration between ECE, mechanical engineering, and urban planning departments to address complex societal challenges through systems thinking.

Praveen K. Kopalleمشاهده پروفایل

استاد

• Marketing
• Machine Learning
• Artificial Intelligence
• +۱۰ مورد دیگر

Praveen K. Kopalle is the Signal Companies' Professor of Management, professor of marketing, and area chair at the Tuck School of Business, Dartmouth College. He served as associate dean for the MBA program (2015–18) and chairs the marketing area (2012–15, 2022–present). He teaches courses in retail pricing analytics, marketing concepts, and new product development. Education: PhD in Marketing (Columbia University, 1992), MBA (Indian Institute of Management, 1988), BE in Mechanical & Product Engineering (Osmania University, 1986) His research focuses on marketing , machine learning , artificial intelligence , pricing strategy , retail analytics , and new product innovation . Recent work addresses digital customer orientation, loyalty programs in the big data era, and predictive analytics in retailing. He has published in top journals like Journal of Consumer Research , Management Science , and Marketing Science . Praveen serves as departmental editor for Production and Operations Management and associate editor for multiple journals. He has held leadership roles in the INFORMS Society for Marketing Science and contributed to editorial boards of 10+ journals. Scientific Awards: 2018 Lifetime Achievement Award (American Marketing Association’s Retailing and Pricing Special Interest Group) 2015 Core Teaching Excellence Award (Tuck School) 2011 Distinguished Alumni Award (IIM Bangalore) Multiple John Little and Davidson Awards 2022 Distinguished Alumnus Award (Osmania University) His teaching spans MBA core courses ( Marketing , Statistics for Managers ) and electives ( Retail Pricing Strategy , Marketing New Products ). He also leads executive education programs and the Tuck Integrative Experiential Learning (TuckINTEL) initiative.

• Accounting
• Public Sector Accounting
• Corporate Governance
• +۴ مورد دیگر

Professor Yusuf Karbhari is a Professor of Accounting at Cardiff Business School, Cardiff University. With a distinguished career spanning several decades, he has established himself as an expert in accounting, particularly in the areas of public sector accounting, Islamic finance, and corporate governance in emerging economies. His work bridges theoretical frameworks with practical applications across diverse economic contexts, from the UK public sector to Middle Eastern and Southeast Asian financial systems. Professor Karbhari holds a PhD and MBA from institutions in Wales, along with a BA (Hons) degree. His educational background has provided the foundation for his extensive research career focused on accounting practices in both developed and emerging economies. Professor Karbhari's research interests encompass a wide range of topics including Accounting and Accountability in government sectors across the Middle East and Malaysia, Accounting practices of UK Executive Agencies, International Government Accounting, Communicative Effectiveness of International Auditor's Reports, Financial Reporting and Performance Measurement in UK Central Government, and Managerial and Accounting Reforms in the Public Sector. His work particularly emphasizes the intersection of traditional accounting principles with cultural and religious contexts, especially in Islamic finance systems. His extensive publication record demonstrates a consistent focus on accounting practices in emerging economies, with particular attention to Islamic banking and finance, corporate governance structures, and public sector accounting. Over the past decade, his research has increasingly examined the role of Sharia boards in Islamic financial institutions, environmental disclosure practices, and the relationship between governance mechanisms and financial performance in diverse economic contexts. Professor Karbhari is available for postgraduate supervision and has research interests that align with his expertise in Accounting and Auditing in Emerging Economies, International Public Sector Accounting, Corporate Governance in emerging economies, and Islamic Banking and Finance. He teaches undergraduate courses in Accounting for Decision Making and Control (Year 2) and Public Sector Accounting (Year 3).

Daniele Venturiمشاهده پروفایل

استاد

• Stochastic modeling
• Uncertainty quantification
• Numerical analysis
• +۷ مورد دیگر

Daniele Venturi is a Professor of Applied Mathematics at the University of California, Santa Cruz, where he has been faculty since 2015, rising from Assistant Professor to full Professor by 2021. Previously, he was a Research Assistant Professor at Brown University from 2010-2015. His academic journey began at the University of Bologna, where he earned both his combined B.S./Sc.M. in Mechanical Engineering (2002) and Ph.D. in Applied Physics with a focus on thermo-fluid dynamics (2006). University of Bologna: B.S./Sc.M. Mechanical Engineering (2002), Ph.D. Applied Physics (2006) Brown University: Research Assistant Professor (2010-2015) UC Santa Cruz: Assistant to Associate to Full Professor (2015-present) Professor Venturi's research spans multiple cutting-edge areas in computational mathematics. His primary interests include stochastic modeling and uncertainty quantification, numerical tensor methods for high-dimensional PDEs, data-driven modeling approaches, approximation of functional-differential equations, and theoretical/computational fluid dynamics. His work bridges theoretical mathematical frameworks with practical computational implementations, particularly focusing on overcoming the curse of dimensionality in complex systems. His recent research has been heavily focused on hierarchical tensor methods for solving high-dimensional partial differential equations. The analysis of his publication record reveals a strong emphasis on developing computational frameworks that address high-dimensional challenges in uncertainty quantification and model reduction. His work frequently intersects machine learning techniques with traditional numerical methods, particularly in developing physics-informed neural networks and multifidelity modeling approaches. A consistent theme across his publications is the development of mathematical frameworks that maintain computational tractability while preserving physical fidelity in complex systems. Professor Venturi has secured substantial research funding from major agencies including the Air Force Office of Scientific Research (AFOSR), Department of Energy (DoE), National Science Foundation (NSF), Army Research Office (ARO), and Defense Advanced Research Projects Agency (DARPA). His most significant current grant is a 2024-2029 AFOSR MURI award totaling $7.5M as co-PI for 'Tensor Network for simulating kinetic systems.' 2024-2029: AFOSR MURI, $7.5M (co-PI) 2023-2027: DoE, $3.8M (co-PI) 2023-2026: AFOSR, $2.5M (co-PI) 2020-2025: NSF TRIPODS, $2.3M (co-PI) At UC Santa Cruz, Venturi teaches a range of courses including Fundamentals of Uncertainty Quantification, Applied Dynamical Systems, Nonlinear Dynamical Systems, and Numerical Methods for Differential Equations. His teaching spans both undergraduate and graduate levels, reflecting his expertise across theoretical and computational mathematics. His lecture notes for these courses are publicly available and demonstrate his commitment to pedagogical excellence in complex mathematical subjects.

Scott Fraundorfمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Educational Technology
• Psycholinguistics
• +۴ مورد دیگر

Scott Fraundorf is an Associate Professor in the Department of Psychology at the University of Pittsburgh , where he leads the MAPLE (Memory And Psycholinguistics in Learning & Education) Lab . He combines cognitive science and data science to study human behavior prediction, educational program evaluation, and psycholinguistics . His research focuses on student learning and metacognition language processing and educational technology interventions statistical modeling using regression , machine learning , and mixed-effects models as well as open-source tool development for cognitive science. Key technical skills include Python , R , and SQL programming, with 3 patents for intelligent tutoring systems in English grammar. He has mentored over 70 graduate students and faculty in quantitative methods.