جست‌وجوی استاد و پژوهشگر

Angelika Krehlمشاهده پروفایل

استاد

• Urban Spatial Structure Analysis
• Regional Economics
• Economic Geography
• +۵ مورد دیگر

Professor Angelika Krehl serves as Professor for Economics, regional and sectoral structural policy and Director of the NIERS Institute (Lower Rhine Institute for Regional and Structural Research) at Niederrhein University of Applied Sciences since 2020. Her academic leadership spans regional economics, urban spatial structure analysis, and sustainability research within the Department of Economics. Her research focuses on theoretical foundations and empirical analysis methods of urban spatial structures, regional economics, economic geography, and GIS-based regional research with emphasis on sustainability aspects. Key methodologies include polycentricity measurement, density pattern analysis, and integrated spatial modeling using remote sensing data. Her work bridges urban morphology with economic development processes. Recent publications reveal strong trends in polycentric urban systems analysis, corporate regional responsibility frameworks, and sustainable land use economics. Over 70% of her recent work examines German metropolitan regions through morphological polycentricity lenses, with increasing focus on sustainability transitions and social innovation mechanisms since 2020. Methodological innovation in GIS integration and spatial metrics development characterizes her publication trajectory. Professor Krehl leads multiple major research initiatives including RediStar (diversity-sensitive startup funding), AUFBRUCH (sustainable bioeconomy transformation), R(h)einTex (textile recycling innovation), and R³ (corporate regional responsibility). Her institutional leadership extends to directing NIERS Institute and serving on the university's Advisory Board for Research and Transfer. As Director of NIERS Institute, she oversees collaborative research teams focused on regional structural policy, with particular emphasis on lignite phase-out governance, sustainable learning projects, and regional innovation ecosystems. Her work integrates academic research with practical policy implementation through close partnerships with regional stakeholders.

Leila Moslemi Naeniمشاهده پروفایل

مدرس ارشد

• Project Management
• Fuzzy Methods
• Mathematical Modelling
• +۵ مورد دیگر

Dr. Leila Moslemi Naeni is a Senior Lecturer at the University of Technology Sydney (UTS), School of Built Environment, with a dual appointment in the Faculty of Design, Architecture and Building. She previously served as a Lecturer at UTS (2016-2018) and Sessional Lecturer at Curtin University (2015-2016). PhD in Computer Science (University of Newcastle, 2017) MSc in Industrial Engineering (Sharif University of Technology, 2007) BSc in Industrial Engineering (Iran University of Science and Technology, 2004) Her research focuses on project management under uncertainty, integrating fuzzy systems and mathematical modeling with applications in construction, ESG reporting, and disruptive technologies. She developed innovative methods for statistical control charts in project monitoring and leads research on leveraging blockchain and digital tools for sustainable infrastructure. Recent publications highlight her work on resource-constrained scheduling algorithms, ESG integration in megaprojects, and gamification in project management education. She serves as Review Editor for Frontiers in Environmental Science and on the Editorial Board of Smart and Sustainable Built Environment . 2016 PMI NSW Research Award 2022 Walt Lipke Award 2013 FEBE Postgraduate Research Prize As an active research mentor, she supervises PhD students in machine learning applications, disaster management technologies, and social infrastructure investments. Her teaching emphasizes simulation-based learning, collaborating with Oulo University (Finland) to quantify educational value.

James Salamyمشاهده پروفایل

مدرس

• Photonics
• Optical Engineering
• Laser Technology
• +۳ مورد دیگر

James Salamy is a part-time Lecturer in the Department of Electrical and Computer Systems Engineering at the College of Engineering, Monash University. He actively contributes to both research and teaching initiatives, with a focus on photonics and engineering education. His work bridges technical innovation with pedagogical advancements, ensuring holistic development of educational strategies. Current Affiliation: Monash University, College of Engineering Academic Role: Lecturer Status: Part-time faculty member His research spans two primary domains: photonics and engineering education . In photonics, he investigates laser stabilization techniques using microring resonators for dense wavelength-division multiplexing (WDM) systems, aiming to improve optical network scalability and reliability. In education, he explores factors influencing student success, including mental health literacy, onboarding experiences, and the role of failure in academic growth. Additionally, he has contributed to cloud-based machine learning infrastructure optimization. Recent research trends emphasize interdisciplinary collaboration, particularly between Monash University and the University of Warwick, focusing on scalable automated feedback systems for cross-campus education. His technical work on self-injection locking mechanisms has implications for temperature-stable laser systems, while his educational studies address equity and pedagogical innovation. While no scientific awards are documented in the provided material, his 2024-2025 projects include research on Research Cross Campus Peer Instructions and scalable feedback systems, demonstrating his commitment to enhancing engagement in information engineering education.

Evan Apfelbaumمشاهده پروفایل

استاد

• Social Psychology
• Diversity and Inclusion
• Organizational Behavior
• +۳ مورد دیگر

Evan Apfelbaum is a Professor of Management & Organizations at Boston University's Questrom School of Business, previously holding positions as W. Maurice Young Career Development Professor at MIT Sloan School of Management and Team and Group Research Fellow at Northwestern University's Kellogg School. His academic career bridges social psychology and organizational behavior with a focus on evidence-based approaches to workplace dynamics. Educational background: B.S. in Psychology and Music from Union College Ph.D. in Social Psychology from Tufts University Apfelbaum's research centers on diversity, inclusion, and intergroup relations within organizational contexts, examining how racial and gender biases manifest in workplaces through field experiments and longitudinal studies. He investigates the psychological mechanisms behind diversity initiatives, social norms in racially diverse environments, and transparency in reporting diversity metrics, consistently translating theoretical insights into practical business applications for fostering equitable workplaces. Analysis of his 15 most recent publications (2017-2024) reveals a cohesive trajectory examining diversity transparency, barriers to gender equality, and multiculturalism effects across multiple organizational settings. His work demonstrates methodological rigor through field experiments in real business environments, with increasing focus on data-driven interventions and longitudinal impacts of diversity initiatives in corporate contexts. Major recognitions include: Gordon Allport Intergroup Relations Prize James H. Ferry Jr. Grant for Innovation in Research Early Researcher Award from the American Psychological Association Top 40 Business Professors Under 40 by Poets & Quants Apfelbaum's research has secured significant funding including the James H. Ferry Jr. Grant, supporting innovative field studies on diversity interventions. While specific student advisees aren't listed, his collaborative publications with junior researchers across institutions indicate active mentorship. His work frequently involves cross-institutional teams examining large-scale diversity initiatives in corporate environments. As former Team and Group Research Fellow at Kellogg School of Management, Apfelbaum contributed to group dynamics research infrastructure. At Boston University, he participates in Questrom School's organizational behavior research ecosystem, focusing on experimental approaches to diversity challenges though no dedicated laboratory is specified in current materials.

Kalle Lyytinenمشاهده پروفایل

استاد

• Digital Innovation
• Digital Innovation Regimes and Infrastructures
• Organizing Processes of Digital Innovation
• +۷ مورد دیگر

Kalle Lyytinen is the Iris S. Wolstein Professor of Management Design and Distinguished University Professor at Case Western Reserve University's Weatherhead School of Management, where he also serves as Faculty Director of the Doctor of Business Administration Program. He is a Professor in the Department of Design & Innovation. Lyytinen received his PhD in 1986 from the University of Jyvaskyla, Finland, following an Econ Lic (1982) and MS (1978) from the same institution. He was initially appointed to Case Western Reserve University in 2001. Lyytinen's research focuses on digital innovations and how they shape organizations and industries. His work helps organizations identify, absorb, manage, implement and transform through digital innovations. His specific research areas include the content and logic of digital innovation, digital innovation regimes and infrastructures, organizing processes of digital innovation, and how digital technology shapes engineering and design practices. He has also studied the adoption of new technologies, particularly mobile technologies, new collaboration forms enabled by technologies, and methods for determining large-scale system requirements. With over 450 publications in prestigious journals including Information Systems Research, Management Information Systems Quarterly, and Organization Science, he is among the top five scholars in the information system field by citations (51,000, h-index 100). Lyytinen's recent publications demonstrate his continued leadership in the digital innovation space, with research spanning digital platforms, technical debt, software complexity, and socio-technical systems. His work consistently bridges theoretical frameworks with practical applications across multiple industries and contexts. Distinguished University Professor 2017 Case Western Reserve University Honorary Doctorate 2017 Lappeenranta University of Technology, Finland Enduring Research Impact Award 2016 Weatherhead School of Management Honorary Doctorate 2016 Copenhagen Business School LEO Award 2013 Association for Information Systems Best Paper Awards from AIS (ICIS), HICSS and AoM (OCIS) Lyytinen has served as Vice President for the Association for Information Systems, Senior Editor for Information Systems Research, and Editor-in-Chief for the Journal of the Association for Information Systems. He has held editorial board positions in all major information systems and several organization theory and management journals. His global academic engagements include positions at London School of Economics, Erasmus University, University of Sorbonne, LUISS University, University of Cape Town, Copenhagen Business School, City University of Hong Kong, Auckland University School of Business, Umea University, Aalto University, and Oslo University.

Jonathan L. Auerbachمشاهده پروفایل

استادیار

• Data Science
• Causal Inference
• Survey Methods
• +۶ مورد دیگر

Jonathan L. Auerbach is an Assistant Professor in the Department of Statistics at George Mason University . His work bridges statistics and public policy , focusing on causal inference , longitudinal data analysis , and official statistics . He has contributed to understanding urban myths (e.g., New York City rat populations, building height trends), election fraud , and policy evaluation for initiatives like Vision Zero. Education : PhD in Statistics (Columbia University, 2020), BA in Economics (Cornell University, 2010) Research Interests include data science , causal inference , survey methodology , and urban analytics . His recent work addresses climate change impacts on cherry blossom seasons, federal data security , and street vendor demographics in New York City. Scientific Awards include the 2024-2025 President of Washington Statistical Society , 2020-2021 American Statistical Association Science Policy Fellow , and 2019 Howard Levene Outstanding Teaching Award . He has served as an instructor for courses like Capstone in Statistics and Causal Inference , emphasizing technical communication and data ethics .

Willis Langمشاهده پروفایل

پژوهشگر

• Database Systems
• Cloud Computing
• Data Management
• +۳ مورد دیگر

Willis Lang is a Researcher at Microsoft , focusing on Database Systems , Cloud Computing , and Data Management . His work bridges academic research with industrial applications in cloud databases. Education: PhD in Computer Sciences - Databases (University of Wisconsin-Madison, 2012) MS in Computer Science and Engineering - Databases (University of Michigan, 2008) BMath in Honours Computer Science - Bioinformatics (University of Waterloo, 2006) Research Interests: Willis’s research spans Database Systems , Cloud Computing , and Energy Efficiency , with a focus on scalability, tenant management, and predictive provisioning. His work addresses real-world challenges in cloud database optimization, multi-tenancy, and power-aware systems. Recent Publications highlight trends in Cloud Database Efficiency , including auto-scaling, tenant placement, and energy-conscious cluster design. His contributions often involve collaboration with industry leaders like Microsoft and Jignesh M. Patel. Scientific Awards: Best Paper Award, DaMoN 2010 Best Presented Award, Midwest Database Research Symposium 2007 Service: Willis has served as a reviewer for conferences like SIGMOD, VLDB, and journals including VLDBJ and JPDC. His expertise is sought in cloud and database research communities.

Jukka Sihvonenمشاهده پروفایل

استادیار

• Digital Transformation
• Financial Accounting
• Big Data Analytics
• +۴ مورد دیگر

Jukka Sihvonen is an Assistant Professor at the Department of Accounting, Aalto University School of Business. His expertise spans financial accounting, digital transformation, and artificial intelligence in finance. He teaches and supervises master’s and doctoral programs in financial accounting, Big Data, and business technologies, and contributes to executive education. PhD in Finance (University of Vaasa, 2013) Visiting scholar at Norwegian School of Economics, Copenhagen Business School, Umeå University, Goethe University, European Central Bank, and Bank of Finland His research interests focus on digital transformation in accounting, AI applications, climate risk disclosures, cybersecurity, and servitization in business models. Recent publications address rare earth investments, LGBTQ+ policies, audit digitalization, and supply chain leadership. His 15 most recent articles highlight interdisciplinary trends in AI-driven finance, ESG compliance, and digital risk management. Key journals include European Accounting Review, International Review of Financial Analysis, and Industrial Marketing Management. Scientific Awards: Researcher of the Year (2021) Teacher of the Year (2022) AFAANZ Best Paper Award (2022) EFA Outstanding Paper Award (2011)

Yuhan Jiangمشاهده پروفایل

استادیار

• Artificial Intelligence in Architecture Engineering Construction and Operations
• Robotics and Remote Sensing
• Computer Vision and Machine Learning
• +۷ مورد دیگر

Dr. Yuhan Jiang is an Assistant Professor in the Department of Built Environment at North Carolina A&T State University's College of Science and Technology. He serves as the Founding Director of the HUD Center of Excellence for Innovation in Affordable Housing and Sustainable Communities (CIAHSC). Dr. Jiang leads a multidisciplinary research team focused on integrating robotics, artificial intelligence, and Building Information Modeling in construction operations and infrastructure management. Ph.D. in Civil Engineering from Marquette University M.M. in Construction Management from Guangzhou University Additional Construction Management degree from Guangzhou University Dr. Jiang's research primarily focuses on artificial intelligence applications in architecture, engineering, construction, and operations (AECO). His work integrates robotics and remote sensing for data collection, computer vision and machine learning for data processing, and BIM, GIS, and AR/VR for data visualization. His research enables more efficient construction operations, building inspection, and infrastructure management. Additionally, he has extensive experience in community redevelopment planning and complex systems simulation, including investigating urban village formation mechanisms. Analysis of Dr. Jiang's recent publications reveals a strong focus on applying drone technology, computer vision, and deep learning to construction and infrastructure challenges. His work spans multiple domains including façade modeling, pavement evaluation, sidewalk inspection, earthwork calculation, and 3D reconstruction. A consistent theme across his research is the development of automated systems that improve efficiency, accuracy, and safety in construction and infrastructure management through AI and robotics. N.C. A&T and CoST Junior Faculty Teaching Excellence Award 2024-25 N.C. A&T and CoST Rookie Researcher of the Year Award 2024 ASCE Journal of Architectural Engineering Best Paper Award 2022 ASCE CI & CRC Joint Conference Best Paper Award 2024 AAAS HBCU Making and Innovation Showcase 1st Place 2024 CoST SciTech Week Innovation Challenge awards (2023-2025) N.C. A&T Provost's Faculty Fellow (2023 & 2024) Dr. Jiang has successfully secured over $4.5 million in research funding as PI or Co-PI, including a $2.5 million HUD Center of Excellence grant. He has mentored students who won 1st and 3rd place in the 2023 & 2024 Sci-Tech Week Innovation Challenge competitions and 1st place at the 2024 AAAS HBCU Making and Innovation Showcase. His funded projects span AI-driven BIM education tools, smart farming with robotics, drone-based façade modeling, and digital twin applications for infrastructure management. As Founding Director of the HUD Center of Excellence for Innovation in Affordable Housing and Sustainable Communities (CIAHSC), Dr. Jiang leads a multidisciplinary team focused on innovative approaches to affordable housing and sustainable community development. His lab work integrates drone technology, computer vision, and AI to create practical solutions for real-world construction and infrastructure challenges.

Wai Kiong Oswald Chongمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Engineering Systems
• Optimization
• +۱۰ مورد دیگر

Dr. Wai Kiong Oswald Chong is an Associate Professor at Arizona State University's School of Sustainable Engineering and the Built Environment, with a dual affiliation as Senior Global Futures Scientist at the Global Futures Scientists and Scholars program. He holds a PhD in Civil Engineering from the University of Texas-Austin, MSc and BSc in Building from the National University of Singapore, and focuses on integrating artificial intelligence with sustainable engineering systems. PhD (2005): Civil Engineering, University of Texas-Austin MSc (1999) & BSc (1997): National University of Singapore His research bridges lunar construction with Earth-bound sustainable systems, covering topics like: Space habitat modularization Resource circularity systems AI-enhanced building codes Climate-resilient infrastructure Advanced energy modeling Construction supply chain optimization Publications demonstrate consistent focus on: Semiconductor facility HVAC optimization Building energy consumption anomalies Life cycle assessment frameworks Construction risk management Deconstruction and material reuse AI-driven system modeling Current research projects include: Lunar MVI (Moon Village Initiative) Semiconductor fab design optimization Human-AI knowledge interfaces Thermal insulation systems for extreme environments Smart grid energy modeling

• Digital Health
• Human-Computer Interaction (HCI)
• User-Centered Design
• +۱۱ مورد دیگر

Professor Marilyn Lennon is a leading academic in the Department of Computer and Information Sciences at the University of Strathclyde , holding the title of Professor in Digital Health and Care. She founded and directs the Digital Health and Wellness Group (DHaWG) , focusing on multidisciplinary research for designing, evaluating, and implementing digital technologies that enhance individual and population health and wellbeing. First class BSc in Psychology (University of Glasgow, 1998) PhD in Computing Science (University of Glasgow, 2002) Postgraduate diploma in academic practice (Fellow of Higher Education Academy) With over two decades of experience in Human-Computer Interaction (HCI) , usability, and user-centered design, her research spans wearable and mobile technologies for home healthcare, including remote monitoring (predictive falls monitoring), remote diagnosis (colon capsule technology evaluations), and smart home solutions for social care. She specializes in addressing technical and social barriers to real-world health technology implementation, emphasizing robust yet rapid evaluation methods. Recent publications highlight her work in 3D healthcare visualization, telehealth implementation, and medication management systems. Her research combines lab-based usability testing with real-world ('in the wild') evaluations of technologies like smart home systems and telehealth solutions. Key trends include cross-disciplinary collaboration, accessibility for sensory-impaired individuals, and AI-driven healthcare innovations. Scientific Awards MyCity: Glasgow - Gamechanger Award (Gold Medal) 2025 Images of Research 2025 Shortlist Emerald Outstanding Paper Award 2013 Best Paper Award (most replicable scientific paper) 2013 As course director for the Masters in Digital Health Systems , she has supervised 5 PhD students (2 completed) and over 100 honors projects. Current projects include the No Need to Fall initiative funded by the Health Foundation (£400k) and the PREMIO project co-creating clinical trials in advanced breast cancer. She maintains active collaborations with NHS, charities, and international institutions like the University of Waterloo.

Jaswinder Lotaمشاهده پروفایل

پژوهشگر

• Signal Processing
• Circuits and Systems
• Wireless Communication
• +۷ مورد دیگر

Dr. Jaswinder Lota is a Reader in Engineering at the University of East London , School of Architecture, Computing and Engineering, Department of Engineering & Construction. He is also a Visiting Academic at University College London’s Department of Electronic and Electrical Engineering, and a Chartered Engineer with extensive industry and academic experience. Education: BSc BEng MEng PGCert HE PhD Research Interests: Dr. Lota specializes in signal processing, circuits and systems, wireless communication, and their applications in radar systems (weather/military), low-power sustainable networks beyond 5G/6G (robotics, automation, healthcare), and electronic technologies for hydrogen propulsion. His work integrates AI-driven channel modeling and impulsive noise analysis. Scientific Awards: IEEE CAS Society Certificate of Appreciation (2019) Grants and Collaborations: He has secured significant funding, including a £2.5K International Research Collaboration Award (2016), £2.5K Research Internship Award (2015), £76K Impact Grant (2014), and a £7M MoD-funded project (1999-2004). Collaborators include UCL and NYU. Leadership: Dr. Lota leads the Smart Cities Research group at UEL and contributed to the REF 2021 submission. He has served as Associate Editor for IEEE TCAS I and Guest Editor for multiple IEEE journals.

Fredrik Haasمشاهده پروفایل

پژوهشگر

• Ecology
• Biodiversity Conservation
• Zoology
• +۹ مورد دیگر

Fredrik Haas is a Researcher at the Department of Biology, Faculty of Science, Lund University, Sweden. He is affiliated with BECC (Biodiversity and Ecosystem services in a Changing Climate), Biodiversity and Conservation Science, and Biodiversity and Evolution research groups. His work contributes to UN Sustainable Development Goals related to life on land and climate action. His research focuses on bird ecology , population dynamics , and conservation in changing climates . Key topics include waterbird responses to climate warming, hybridization in bird species (e.g., Corvus), and the effectiveness of protected areas. He is deeply involved in national monitoring programs and large-scale collaborative studies across Europe. Recent publications highlight trends in waterbird distribution shifts , impacts of climate change on avian communities , and conservation threats such as lead poisoning in sea ducks . His work combines field data, long-term monitoring, and cross-national collaboration to inform conservation policy. Årets miljöhjälte 2021 (Environment Hero of the Year 2021) Fredrik Haas leads and coordinates multiple research projects, including long-term bird monitoring initiatives funded by the Swedish Environmental Protection Agency and FORMAS. He serves as Principal Investigator on projects related to avian influenza preparedness and marine protected area functionality for waterbirds. His work is embedded in the Swedish Bird Survey infrastructure, contributing to national and international biodiversity reporting. He actively engages in public outreach, including media interviews and scientific presentations, such as discussing GPS tracking of diving ducks and new coastal bird survey programs.

• Power Systems
• Microgrids
• Inverter Control
• +۳ مورد دیگر

Xiaonan Lu is an Associate Professor of Electrical Engineering Technology at Purdue University's School of Engineering Technology, with a courtesy appointment in the Elmore Family School of Electrical and Computer Engineering. His research focuses on critical challenges in modern power systems dominated by inverter-based resources, particularly stability and control in microgrids and renewable-integrated grids. His research interests span power systems engineering with emphasis on small-signal stability analysis, dynamic modeling of hybrid AC/DC microgrids, and advanced control strategies for grid-forming and grid-following inverters. He investigates AI-assisted modeling techniques, resilience enhancement through hydrogen integration, and data-driven optimization of microgrid operations to address challenges in low-inertia power systems and distributed energy resource coordination. Analysis of his recent publications (2024-2025) reveals dominant trends toward AI-aided stability assessment, seamless control transitions between inverter modes, and quantifiable trade-offs in voltage regulation and power sharing. His work consistently addresses practical implementation challenges including communication delays, cyber resilience, and standardized testing methodologies for inverter-dominated systems.

Diego Rossoمشاهده پروفایل

استاد

• Environmental Process Engineering
• Mass Transfer
• Wastewater Treatment
• +۳ مورد دیگر

Diego Rosso is a Professor in the Civil and Environmental Engineering Department at the Samueli School of Engineering, University of California, Irvine, with joint appointments in Chemical and Biomolecular Engineering, and Materials Science and Engineering. He serves as Director of the UCI WEX Center, focusing on environmental process engineering and sustainable water systems. Ph.D., Civil Engineering, UCLA (2005) M.S., Civil Engineering, UCLA (2003) Chemical Engineering Laureate, University of Padua (2002) His research emphasizes wastewater treatment, mass transfer mechanisms, and carbon/energy-footprint analysis. He explores innovative technologies like nanobiocomposites for heavy metal removal, hydrocyclone systems for microplastics separation, and decentralized water/wastewater infrastructure for urban sustainability. Recent publications analyze ARIMA forecasting for wastewater flow, SARS-CoV-2 surveillance in decentralized systems, and oxygen transfer optimization in biological processes. His work bridges environmental engineering with data-driven modeling and sustainable technology development. His laboratory, the Environmental Process Lab, investigates advanced treatment methods and resource recovery strategies. Contact: bidui@uci.edu | (949) 824-8661 | 844F Engineering Tower, UCI.