Maryam Dilmaghani is a Professor of Economics at the Sobey School of Business, Saint Mary's University. Her research focuses on gender economics, labor markets, health economics, and behavioral economics. She examines topics such as decision-making under competition, socio-cultural influences on economic behavior, and disparities in well-being across demographic groups. Her work frequently employs empirical approaches to analyze data from elite competitions, labor markets, and Canadian demographic trends. Key research themes include: Gender gaps in earnings, risk-taking, and corrupt behavior Impact of religiosity, education, and body image on economic outcomes Demographic patterns in fertility, homeownership, and citizenship Discrimination studies related to race, sexual orientation, and gender identity Her recent publications explore weather effects on chess player performance, LGBTQ+ economic experiences, and the causal links between education and health behaviors. This work highlights intersections between economic systems and sociocultural factors shaping individual choices and societal structures. Dr. Dilmaghani holds no currently listed awards but has produced a prolific body of peer-reviewed research. Her work contributes to policy debates on workplace diversity, urban planning equity, and labor market inclusion. She can be reached at maryam.dilmaghani@smu.ca for academic collaboration inquiries.
June-Yub Lee is a Professor of Mathematics and Vice President at Ewha Womans University, leading the Office of University Planning and Coordination. He is also a member of the Institute of Mathematical Sciences. His academic background includes a Physics major and Mathematics minor from KAIST, followed by a Ph.D. in Mathematics from New York University's Courant Institute. Prof. Lee specializes in numerical analysis, inverse problems, computational fluid dynamics, and phase-field modeling. His research focuses on developing robust numerical methods for partial differential equations, with applications in materials science and fluid dynamics. Notable contributions include work on operator splitting methods, energy-stable schemes for phase-field models, and inverse problem solutions in electrical impedance tomography. He has organized major international conferences like ICM2014 and ICIP series, and serves on editorial boards of journals such as the Journal of the Korean Society for Industrial and Applied Mathematics (KSIAM). His work bridges theoretical mathematics with computational science, emphasizing interdisciplinary applications. Prof. Lee has actively contributed to academic administration, including serving as Director of the Division of Natural Sciences at the National Research Foundation (NRF). His research lab focuses on scientific computation, with recent projects exploring long-time simulations of phase-field crystal models and high-order numerical methods for multiphase systems.
Nadjib Brahimi is an Associate Professor at Rennes School of Business, specializing in Supply Chain Management and Operations Research. He holds a PhD in Production and Logistics Systems from Université de Nantes and has extensive academic experience, including roles as Academic Head of the Supply Chain Management & Information Systems department (2019–2020) and Programme Manager of the MSc in Data and Business Analytics. His expertise spans Production Planning, Supply Chain Optimization, and Reconfigurable Manufacturing Systems. Education: PhD in Production and Logistics Systems, Université de Nantes, 2004 M.Sc. in Automatic Control and Applied Computing, Ecole Centrale de Nantes, 2001 Engineering Degree in Electronics and Electrical Engineering, National Institute of Electronics and Electrical Engineering, Boumerdes, Algeria, 1999 Research Focus: His work emphasizes optimization of production systems, reconfigurable manufacturing, and sustainable supply chains. Key areas include task reassignment in assembly lines, biomass supply chain design, and disruption resilience strategies. Key Contributions: Over 40 peer-reviewed articles in journals like International Journal of Production Economics and European Journal of Operational Research . Developed robust optimization models for supplier selection and production routing. Advocated for circular economy principles in hybrid manufacturing systems. Labs/Teams: He collaborates with research groups on reconfigurable manufacturing systems and bioenergy supply chain design, contributing to projects in France, UAE, and Algeria.
Christian Homburg is a Professor of Marketing and Director of the Institute for Market-Oriented Management (IMU) at the University of Mannheim Business School. He holds additional positions as Distinguished Professorial Fellow at the University of Manchester and Professorial Fellow at the University of Melbourne. His leadership extends to his former role as Managing Director of the Mannheim Business School (2006-2010), where he significantly expanded student enrollment and established globally recognized MBA programs. Homburg's research primarily focuses on business-to-business marketing, sales management, pricing, and customer relationship management. His work bridges theoretical frameworks with practical applications, particularly in understanding the relationship between customer satisfaction and loyalty, market-oriented organizational culture, and service quality. His research methodology frequently integrates quantitative approaches with structural equation modeling to examine complex marketing phenomena. He has pioneered work in customer experience management and effective customer journey design, reflecting the evolving nature of marketing in digital environments. Homburg's publication portfolio includes over 40 articles in the three leading marketing journals (Journal of Marketing, Journal of Marketing Research, Journal of Consumer Research) and numerous influential books. His work demonstrates a clear evolution from foundational research on market orientation and customer satisfaction toward more contemporary topics like customer experience management and digital customer journeys. His research maintains a strong emphasis on empirical validation while addressing practical business challenges. Research.com Business and Management in Germany Leader Award (2021-2025) Fellow of the American Marketing Association (lifetime achievement) Ranked fourth worldwide for research productivity in top marketing journals (2011-2022) Most research-intensive professor in Germany, Austria, and Switzerland (WirtschaftsWoche 2018, 2020, 2023) Honorary doctorates from Copenhagen Business School (2006) and Technical University Freiberg (2008) Professor Homburg actively supervises doctoral students and leads research initiatives through the Institute for Market-Oriented Management. His research has been supported by significant academic grants, though specific grant details aren't provided in the source material. His work has influenced both academic theory and business practice, particularly in European markets. The Institute for Market-Oriented Management serves as his primary research hub, where he collaborates with academic staff members including Nicola Weber and Matthias Kleinermann. His research team focuses on translating theoretical marketing concepts into practical business applications, with particular emphasis on B2B contexts.
Luis Amaral is an Associate Professor at the School of Engineering, University of Minho, where he has served since 1998. He holds a PhD in Computer Science (Information Systems) from the University of Minho (1995) and has extensive experience in teaching, research, and administrative leadership. His research focuses on Information Systems in social and organizational contexts, particularly in public administration, with over 400 publications including books, journal articles, and conference papers. Key roles include Vice-Rector for Organizational Transformation and Administrative Simplification, Director of the Information Systems Department (2005–2006, 2010–2012), and leadership in projects like the Virtual Campus (e-UM). He has held numerous administrative positions, including President of the School of Engineering’s Council (2013–2016) and Pro-Rector (2006–2009). His work emphasizes e-government, digital transformation, and public procurement systems. Recent research trends include digitalization of public services, regulatory compliance (e.g., GDPR in higher education), and optimization of renewable energy systems. He has contributed to international initiatives such as the ICEGOV conference and projects in Mozambique and Timor-Leste. His publications highlight innovation in administrative processes, citizen engagement, and institutional digital readiness. Luis Amaral has coordinated postgraduate programs, including the Master’s in Information Systems (2001–2002, 2016–2017), and led research centers like IDITE Minho. His career reflects a balance between academic rigor and practical impact in technology-driven governance and organizational change.
Soufiene Djahel is a Professor at the Centre for Future Transport and Cities (CFTC) at Coventry University, UK. His research focuses on connected and autonomous vehicles (CAVs), unmanned aerial vehicles (UAVs), cyber security, and smart cities. He holds a PhD in Secure Routing and Medium Access Protocols from Université des Sciences et Technologies de Lille (2010), and has held academic positions including Senior Lecturer at the University of Huddersfield and Manchester Metropolitan University. His research interests include CAV coordination protocols, cyber-physical security solutions, and intelligent transportation systems. Djahel leads projects such as the £1.2M AeroPharma Logistics initiative and has secured funding from the Newton Fund and JSPS. He is a recipient of the 2021 JSPS Invitational Fellowship and has published extensively in IEEE journals and conferences. Current projects explore UAVs-as-a-service, digital twins for CAVs, and B5G/6G for smart infrastructure. He advises PhD students on topics like AI-based threat mitigation and transport electrification. Djahel also serves as an external examiner and editorial board member for journals like IEEE Transactions on Intelligent Transportation Systems.
Janki Bhimani is a Professor and Director of the Data Management Research Lab (DaMRL) at the School of Computing and Information Science, Florida International University (FIU). Her research focuses on Memory and Storage Systems, Cloud Computing, Performance Modeling, and Applied Machine Learning. She holds a Ph.D. in Computer Engineering from Northeastern University (2019), an M.S. in Electrical and Computer Engineering (2016), and a B.S. in Electrical and Electronics Engineering from GITAM University (2013). Prior to FIU, she taught at Northeastern University and collaborated with Samsung Semiconductor Research Labs on flash-based SSDs. Her research interests include emerging memory technologies, high-performance computing, and datacenter reliability management. She leads innovative projects like Heimdall (machine learning for storage I/O optimization) and MoKE (modular key-value storage emulation). Awards include FIU Top Scholar and KFSCIS Excellence in Applied Research. Teaching highlights include CIS 3530 (Data Structures), CIS 5346 (Storage Systems), and EECE 2560 (Engineering Algorithms). Her work emphasizes bridging theory and practice, with patents on storage system optimization and machine learning integration.
Dr. Mina Najafi is an academic researcher specializing in sustainable construction, digital transformation in built environments, and place attachment theory. Her work bridges engineering, urban planning, and social sciences. She actively supervises PhD students and contributes to interdisciplinary research initiatives. Research Focus: Sustainable Construction, BIM Technology, Digital Twins, Aging in Place Strategies, and Climate Resilience. Key Projects: Exploration of digital frontiers in construction, policy analysis for energy efficiency, and community-centric design for low-density regions. Her research interests span innovative construction practices, the integration of emerging technologies, and the socio-cultural dimensions of built environments. Recent work emphasizes leveraging digital tools for supply chain optimization and climate adaptation.
Ramana Vinjamuri is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He holds a secondary appointment as Visiting Professor at the Indian Institute of Technology, Hyderabad, India. His academic journey includes a Ph.D. in Electrical Engineering from the University of Pittsburgh (2008), M.S. in Bioinstrumentation from Villanova University (2004), and B.Tech. in Electrical and Electronics Engineering from Kakatiya University (2002). Dr. Vinjamuri's research focuses on Brain-Machine Interfaces (BMIs) for upper-limb prostheses control , neuroprosthetics and exoskeletons , machine learning in motor control , and neurophysiological signal processing . His work extends synergy-based models to control 37-dimensional hand movements, addresses human-robot interaction through emotionally intelligent systems, and develops neurotechnologies for substance use disorder using wearable sensors and AI. NSF CAREER Award (2019) NSF IUCRC BRAIN Center Planning Grant (2020) Harvey N Davis Distinguished Teaching Assistant Professor Award (2018) His publications demonstrate expertise in EEG and EMG signal analysis , deep learning for motor decoding , synergy modeling , and humanoid robot control . The Vinjamuri Lab at UMBC involves graduate, undergraduate, and high school researchers, with international collaborations in India and the US.
Lesia Semenova is an incoming Assistant Professor in the Department of Computer Science at Rutgers University, set to join in Fall 2025. She currently serves as a postdoctoral researcher at Microsoft Research, NYC. Her research focuses on machine learning, responsible AI, interpretability, and healthcare applications. She holds a PhD from Duke University's Computer Science Department and prior degrees from Taras Shevchenko National University of Kyiv. Education Background: Ph.D., Computer Science, Duke University M.S. and B.S., Applied Mathematics, Taras Shevchenko National University of Kyiv Research Interests: Machine Learning Interpretability Responsible AI Frameworks Healthcare Applications of AI Reinforcement Learning Human-Centered Design Selected Awards and Recognition: 2024 Rising Stars in Computational and Data Sciences PhD Dissertation Award from Duke University Advising and Professional Activities: Semenova advises students such as Harry Chen and Dennis Tang. She has organized workshops at NeurIPS and presented at conferences like the International Joint Conference CFE-CMStatistics. Her work bridges theoretical machine learning with practical healthcare and policy applications. Professional Engagement: She is affiliated with the Artificial Intelligence and Machine Learning research groups at Rutgers, and has collaborated with institutions like the Johns Hopkins Applied Physics Lab.
Manxi Wu is an Assistant Professor in Cornell University's School of Operations Research and Information Engineering, specializing in societal networks and game-theoretic approaches to system design. Her research develops computational models for strategic learning and incentive mechanisms in socio-technical systems, with applications to transportation networks and digital platforms. Education: B.S. Applied Mathematics, Peking University (2015) M.S. Transportation, Massachusetts Institute of Technology (2017) Ph.D. Social and Engineering Systems, Massachusetts Institute of Technology (2021) Her research integrates game theory, optimization, and machine learning to address challenges in autonomous services, traffic management, and decentralized decision-making. Current investigations focus on adaptive incentive structures, spatial resource allocation, and equilibrium analysis in complex networked environments. Publication analysis reveals consistent emphasis on game-theoretic frameworks applied to urban mobility systems, with recent work exploring multi-agent reinforcement learning, congestion pricing equity, and electric fleet management. Methodological innovations include novel convergence proofs for decentralized algorithms and computational approaches to fairness constraints. Awards and Honors: Hammer Fellowship UTC Milton Pikarsky Memorial Award Siebel Scholarship EECS Rising Star recognition No information is currently available regarding student advising, research grants, or laboratory affiliations.
Leslie Breitner is a Senior Faculty Lecturer at McGill University’s Desautels Faculty of Management, serving as Academic Director of the International Masters for Health Leadership (IMHL) and Co-Director of the Graduate Certificate in Healthcare Management (GCHM). She also co-created a GROOC (Global Registered Open Online Course) on social entrepreneurship. Her roles include teaching and academic leadership in healthcare financial management and nonprofit organizations. Affiliated with the Marcel Desautels Institute for Integrated Management, she contributes to interdisciplinary healthcare education and policy initiatives. Dr. Breitner holds a D.B.A. from Boston University, an MBA from Simmons College, and a BA from the University of Wisconsin. Her expertise spans healthcare financial systems, nonprofit management, and performance measurement in healthcare organizations. She has taught at the University of Washington (Evans School of Public Policy) and Harvard University (Kennedy School), where she received teaching excellence awards. Her research focuses on healthcare financial management and cross-sector collaboration, with publications in peer-reviewed journals and textbooks on accounting principles. Notable grants include projects on fiscal planning for children’s services in Bosnia, public management training in Azerbaijan, and disaster response funding analysis with FEMA. Awarded Teacher of the Year (2005) and Dean’s Award for Teaching Excellence (2004), she emphasizes practical financial literacy and leadership training for healthcare professionals. Her current work integrates global healthcare leadership development through executive education programs and online platforms.
Professor Ian Jefferson is a Professor in Geotechnical Engineering at the Department of Civil Engineering, University of Birmingham. He has held academic positions at Loughborough University (lecturer from 1992–1995) and Nottingham Trent University (Lecturer/Senior Lecturer from 1995–2001, Principal Lecturer from 2001–2002, and Reader until 2004 before joining Birmingham). His roles include teaching and research in civil engineering disciplines, with a focus on sustainability and geotechnical practices. He is affiliated with the School of Engineering at the University of Birmingham, located in Edgbaston, Birmingham, UK. Education: BEng (Hons) in Civil Engineering, Loughborough University PhD in Geotechnical Engineering Professor Jefferson’s research interests revolve around collapsible soils , particularly loess , and their geotechnical implications across Eastern Europe, Central Asia, and the UK. He explores ground improvement techniques , including chemical stabilization and vibro-stone columns, with a focus on sustainability. His work also addresses geohazards such as rising groundwater and problematic soils like glacial tills. He investigates sustainability in urban development , sustainable geotechnical processes, and the application of geophysical methods for assessing improved ground conditions. These areas highlight his commitment to integrating environmental and geotechnical challenges in engineering solutions. Professor Jefferson’s recent publications emphasize the intersection of geotechnical engineering and sustainability. His work explores sustainable infrastructure planning, emissions reduction in soil improvement techniques, and geophysical methods for ground assessment. Key themes include the mitigation of collapsible soils, optimizing ground improvement technologies, and sustainability indicators for urban redevelopment. His research frequently addresses environmental impacts, particularly in transportation and utility infrastructure contexts, alongside advancing methodologies for geotechnical practices. Fellow of the Geological Society (FGS) In terms of grants and funding, Professor Jefferson has secured over £4 million in research grants. While his role in advising students is not explicitly stated, he contributes to academic governance through his positions as a Marker/Moderator for the Postgraduate Teaching Certificate and as the Plagiarism Officer for Civil Engineering since 2013. Professor Jefferson is actively involved in several research initiatives, including Loess soil stabilisation , collapsibility in loess soils , and Ground Improvement using stone columns . He also leads projects on Assessment of improved ground using geophysics , Shear strength of glacial tills , and Sustainability Assessments in urban Development . His work contributes to the Sustainable urban redevelopment - Eastside project in Birmingham. These projects reflect his collaboration with interdisciplinary teams and his focus on practical, sustainable solutions in geotechnical engineering.
Heikki Peura is an Associate Professor in the Department of Information and Service Management at Aalto University School of Business. Previously, he served as an Assistant Professor at Imperial College Business School, Imperial College London. His educational background includes: PhD in Management Science and Operations from London Business School (awarded June 30, 2016) MSc in Engineering Physics and Mathematics from Aalto University, specializing in Systems and Operations Research (awarded April 27, 2010) Professor Peura specializes in analytics methods for understanding and improving firms' operational decisions . His research spans several interconnected domains including revenue management, sustainable energy generation, and supply chain management. He applies advanced analytical techniques to solve complex business problems, particularly focusing on optimization methods and decision-making under uncertainty. His work bridges theoretical operations research with practical business applications, making significant contributions to both academic knowledge and industry practice. Analysis of his recent publications reveals a consistent focus on operational decision-making with applications across multiple sectors. His work demonstrates strong methodological rigor in optimization techniques while addressing practical business challenges in energy markets, supply chain dynamics, and revenue management systems. There's a clear evolution in his research from foundational work in pricing and optimization toward more complex applications involving sustainability, risk management, and strategic decision-making in competitive environments. Professor Peura has been actively involved in teaching operations and supply chain analytics as well as revenue management courses at Aalto University. At Imperial College, he taught courses including Data Structures and Algorithms, and contributed to various Master's programs in Business Analytics and Financial Engineering. His research has established significant connections with industry applications, particularly in energy markets and platform businesses. Professor Peura maintains an active research agenda with several working papers addressing contemporary challenges in non-profit fundraising, decarbonization pathways, and healthcare financing.
Liuping Wang is a Professor in the School of Electrical and Computer Engineering at RMIT University, Australia, since 2007. He serves as Head of Discipline for Electrical Energy and Control Systems since 2005 and teaches Advanced Control Systems (EEET 2100) and Real Time Estimation and Control (EEET 2221). Current academic rank: Professor Location: City Campus, Australia Industry collaborators: ANCA, Australian Power Academy, Advanced Manufacturing CRC His research interests span: Control Theory with applications to UAVs and industrial processes Development of Model Predictive Control systems System Identification using neural networks Robust Control for constrained systems Control of AC motors and power electronics Applications in biomedical research and food process monitoring The 15 most recent publications (2015-2025) demonstrate expertise in: UAV control systems with segmented surfaces Battery condition monitoring for electric vehicles Mult-agent robotics with coordination algorithms Smart grid security and electricity dispatch GPS-denied localization for mobile robots Disturbance observer control with input constraints As a supervisor, he oversees Masters Research and PhD projects but no specific student names are listed. His email is liuping.wang@rmit.edu.au for collaboration or supervision inquiries.
