جست‌وجوی استاد و پژوهشگر

• Supply Chain Management
• Digital Transformation
• Big Data Analytics
• +۵ مورد دیگر

Dr. Deepa Bhatt Mishra is an Assistant Professor at the MBS School of Business since October 2020, specializing in Operations, Information, and Decisions. Her research focuses on Supply Chain Management, Digital Transformation, and Big Data Analytics. She holds a PhD from the Indian Institute of Technology Kanpur and conducted postdoctoral research at McMaster University (Canada) and South University of Science and Technology of China. Before joining MBS, she served as an Assistant Professor at the Indian Institute of Management Amritsar. Her teaching disciplines include Analytics and Data Science, Purchasing, and Supply Chain Management. Her research explores strategic intersections between business practices and digital transformation, with notable work in supply chain resilience, prescriptive analytics, and disaster management modeling. Publications highlight her contributions to understanding digital transformation impacts on supply chains, bibliometric analyses of supply chain ripple effects, and prescriptive analytics frameworks for sustainable operations. Her work bridges theoretical research with practical applications in logistics optimization and organizational performance measurement. Current research themes emphasize Big Data integration with business processes, digital transformation strategies, and innovation management. She has also explored humanitarian supply chain agility and social drivers influencing mobility services adoption.

Henderik Properمشاهده پروفایل

استاد

• Enterprise Architecture
• Business Process Modeling
• Conceptual Modeling
• +۵ مورد دیگر

Henderik Proper is a Full Professor of Business Informatics at TU Wien's Faculty of Informatics, leading the Research Unit in Business Informatics. He holds roles as Head of Research Unit, Faculty Council Substitute Member, and Curriculum Commission Principal Member. His expertise spans enterprise architecture, digital transformation, and conceptual modeling. Education: Holds a PhD and has held academic positions at TU Wien and previously at the University of Nijmegen. Research focuses on enterprise modeling, AI-driven systems, and governance frameworks. He leads projects like INTEND (2024–2026) and MFP 4.2 (2022–2023), emphasizing digital twin integration and low-code applications. Publications: Over 50 peer-reviewed articles in top venues like Springer and IEEE, focusing on enterprise engineering, process mining, and AI applications. His work bridges theory and practice, addressing challenges in digital transformation and model-driven architectures. Grants: Active in EU-funded projects (INTEND) and national initiatives (MFP 4.2). Advises on doctoral theses and teaches courses like 'Enterprise & Process Engineering' and 'Ontology-Driven Conceptual Modeling'. Labs/Teams: Leads research groups on enterprise architecture and digital systems within TU Wien's Informatics department, collaborating internationally on standards like ArchiMate extensions.

Mohammad Abedinمشاهده پروفایل

مدرس ارشد

• FinTech
• Business Analytics
• Data Analytics in Finance
• +۴ مورد دیگر

Dr. Mohammad Abedin is a Senior Lecturer in Finance (FinTech) at Swansea University's School of Management, part of the Faculty of Humanities and Social Sciences. Previously, he held a similar role at Teesside University. His expertise spans FinTech, data analytics in finance, sustainable finance, and energy economics. He is actively engaged in research and has over 50 publications in top journals like IEEE Transactions on Industrial Informatics and Annals of Operations Research . Research Interests: FinTech innovation, sustainable investment strategies, machine learning applications in finance, and climate policy analysis. His work often intersects with environmental and energy economics, exploring topics such as carbon tax impacts, green bonds, and blockchain-driven regulatory frameworks. Editorial Roles: Associate Editor of International Review of Economics and Finance , Journal of Global Information Management , and Kybernetes ; Guest Editor for Decision Support Systems and Technological Forecasting & Social Change . Supervision: Currently guiding PhD/MSc students on topics like FinTech's role in cryptocurrency adoption, sustainable development in Sub-Saharan Africa, and circular economy practices in Chinese SMEs. Teaching: Modules include Big Data in Finance and Sustainable Finance & ESG Investing, emphasizing data-driven decision-making and ethical investing practices.

Beverly Kris Jaeger-Heltonمشاهده پروفایل

استاد آموزشی

• Biomechanics
• Mechanobiology
• Motor Control
• +۱۴ مورد دیگر

Beverly Kris Jaeger-Helton is a Teaching Professor and Director of Industrial Engineering Undergraduate Curriculum at Northeastern University ’s Department of Mechanical and Industrial Engineering . With a PhD in Human-Machine Systems Engineering and a career spanning 20 years at Northeastern, she has been recognized as a 15-time Professor of the Year awardee across Industrial Engineering, Mechanical Engineering, and First-Year Engineering programs. Founding Director of the Galante Engineering Business Program Director of Senior Capstone Design in Industrial Engineering Faculty associate with ASEE, ASCE, ASME, HFES, IISE, SAE Research & Teaching Focus : Her work bridges Biomechanics , Human Factors Engineering , Capstone Design Pedagogy , and Smart Biopharmaceutical Manufacturing . She champions compassionate design and human performance engineering , with publications exploring Parkinson’s disease through quantitative handwriting analysis and AI-driven training platforms. Scientific Recognition : Scholarly Excellence Award (renamed in her honor) Best Paper Awards at ASEE (Design Division, First-Year Programs, Environmental Engineering) Martin Essigmann Outstanding Teaching Award (COE) Above & Beyond Recognition for pandemic teaching adaptation Leadership & Innovation : As founding director of the Galante Engineering Business Program, she created 11 new BS/MS pathways. She pioneered tablet integration in engineering education through Northeastern’s Transforming Teaching with Tablets program, enhancing interactive learning via Miro boards and Poll Everywhere tools.

Zeynep Duygu Teklerمشاهده پروفایل

پژوهشگر ارشد

• Smart Building Technologies
• Machine Learning
• Building Energy Simulation
• +۲ مورد دیگر

Dr Zeynep Duygu Tekler is a Postdoctoral Researcher in the Department of Engineering Science and a Junior Research Fellow at Kellogg College, University of Oxford. Her work focuses on occupant-centric smart building technologies and machine learning approaches for high-performance buildings, including scalable building technologies and data-driven energy management systems. PhD in Engineering Product Development from Singapore University of Technology and Design MEng and BEng in Industrial Engineering from Isik University BSc in Industrial Engineering from Isik University Her research spans building energy simulation, occupancy modeling, IoT-integrated systems, and thermal comfort optimization. She has developed patented energy management systems and contributes to smart building datasets through projects like ROBOD. Her work emphasizes reduced sensing requirements and adaptive control strategies for HVAC systems. Dr Tekler's peer-reviewed publications appear in top-tier journals. She actively reviews for journals including Building and Environment, Energy and Buildings, and Applied Energy. Her accolades include the SINGA PhD scholarship, SUTD Best Research Project Award, and SUTD 3MT Competition victory.

Karen Filbee-Dexterمشاهده پروفایل

مدرس ارشد

• Marine Ecology
• Kelp Forests
• Climate Change Impacts
• +۵ مورد دیگر

Karen Filbee-Dexter is a Senior Lecturer at the University of Western Australia (UWA), holding an academic position in the School of Biological Sciences and affiliation with the UWA Oceans Institute. She leads and contributes to interdisciplinary projects addressing global kelp forest decline and restoration, including the development of the Green Gravel tool and Arctic kelp expansion studies. Education: Karen earned a PhD in Biology (Role of deep-living sea urchins in kelp ecosystems) from Dalhousie University in 2016, and a BSc (Honours with Distinction) in Biology from the same institution in 2010. Research Interests: Her work focuses on climate-driven changes to kelp forests, blue carbon dynamics, Arctic marine ecosystems, and interdisciplinary questions linking social and ecological systems. She explores restoration strategies, regime shifts (e.g., kelp to turf reefs), and ethical considerations in marine conservation. Current Projects: Includes DECRA (2019–2022), Turf Wars (2019–2022), BlueConnect (2019–2023), ArcticKelp (2019–2023), and SUKER (2017–2019). These projects involve international collaboration and aim to quantify stressor impacts, develop restoration tools, and assess ecosystem services. Grants and Collaborations: She has secured grants from the ARC, ArcticNet, SANOCEAN, and the Research Council of Norway. Collaborations span institutions like the Institute of Marine Research, University of Greenland, and Arctic fjord communities.

Tim Doheny-Adamsمشاهده پروفایل

مدرس

• Sustainable Agriculture
• Plant Genetics
• Biotechnology
• +۳ مورد دیگر

Dr. Tim Doheny-Adams is an Associate Lecturer in the Department of Biology at the University of York. His teaching emphasizes active learning techniques, such as using simulations (e.g., population structure changes with colored blocks) and board games (e.g., modified Pandemic rules) to foster conceptual understanding in biology. His research focuses on sustainable food production, exploring solutions like integrated pest management and precision farming to counteract environmental impacts of conventional agriculture. His research projects include characterizing genetically modified Arabidopsis plants to study stomatal development’s role in drought tolerance and carbon assimilation, and developing a heroin biosensor using techniques from Neil Bruce’s lab. Students design experiments involving PCR/sequencing, plant growth analysis, and LICOR instrumentation for gas exchange studies. His tutorials engage students in topics like diet’s environmental impact and lifestyle-learning connections through debates, literature reviews, and student-led presentations. Recent publications highlight genetic studies on glucosinolates in Brassica napus, stomatal density’s influence on water efficiency, and biofumigation strategies. His work bridges plant physiology, genetics, and sustainable agriculture, aiming to address global food security challenges. He collaborates on lab techniques including SDS-PAGE, enzyme assays, and bacterial transformation. No scientific awards are listed, but his contributions include innovative teaching methodologies and research on plant stress responses. His advising focuses on student-driven experimental design, with projects often merging molecular techniques and ecological applications. He currently holds no listed grants but is actively involved in teaching and research initiatives at the University of York.

Simon Wykeمشاهده پروفایل

استادیار

• Sustainable Urban Planning
• Subsurface Infrastructure Management
• Construction Project Management
• +۶ مورد دیگر

Simon Wyke is an Assistant Professor at the Department of Sustainability and Planning, Aalborg University. His academic background includes a Master's in Building Informatics and a PhD in Civil Engineering from Aalborg University. He is actively involved in research on data and knowledge management, subsurface infrastructure, nature-based solutions, and IT-based solutions in organizations. His work contributes to UN Sustainable Development Goals related to sustainable cities, responsible consumption, and climate action. Education: PhD in Civil Engineering, Aalborg University Master's in Building Informatics, Aalborg University Research interests focus on: - Subsurface infrastructure management and digital twin technologies - Sustainable urban planning through permeable pavements and NBS - Construction project management and cost overrun analysis - Reality capture and augmented/virtual reality applications in infrastructure - Quality management in construction processes - Waste management optimization in construction sites Notable projects include: - DDU: The Digital Underground (2023-2026): Explores subsurface infrastructure data registration and collaboration networks. - NBRACER (2023-2027): Focuses on climate-resilient nature-based solutions in Atlantic regions. - Optimeret design af byggeaffaldssystemer (2025-2027): Aims to improve waste management through behavioral modeling. He has published widely in journals like Engineering, Construction and Architectural Management and the KSCE Journal of Civil Engineering. His work emphasizes interdisciplinary approaches, combining engineering, data science, and environmental science. Collaboration efforts include partnerships with Danish utility companies and international climate initiatives. He actively peer reviews for construction management journals and participates in climate action conferences like Det Nationale Klimatopmøde.

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +۵ مورد دیگر

Prof. Gerald Steinbauer-Wagner is an Associate Professor at TU Graz's Institute of Software Engineering and Artificial Intelligence. He specializes in autonomous intelligent systems, focusing on decision-making architectures for robots in uncertain environments. His research integrates software engineering, AI, and robotics to develop reliable systems for applications in disaster response, planetary exploration, and industrial automation. Research Interests: Steinbauer-Wagner's work addresses challenges such as robot navigation in unstructured terrains, human-robot collaboration, and trustworthiness in autonomous systems. Key areas include explainable AI, fault diagnosis, and multi-robot coordination. His team explores solutions for off-road robotics, collective perception, and certification of autonomous systems. Recent Projects: Current initiatives include developing autonomous systems for subterranean rescue missions (ROBO-MOLE), optimizing robot localization using machine learning, and creating educational frameworks for AI literacy in schools. His group also contributes to the RoboCup Logistics League and planetary exploration cascades through analog missions like AMADEE-20. Awards & Recognition: No specific awards listed, but his work has been recognized through extensive publications in top venues like IEEE/RSJ IROS, ICRA, and RoboCup symposiums. Lab & Teams: Leads the Autonomous Intelligent Systems (AIS) research group at TU Graz, collaborating with industry partners like the Smart Factory. His team develops integrated robot systems for production, logistics, and disaster response scenarios.

Wael H. Ahmedمشاهده پروفایل

استاد

• Multiphase Flow Analysis
• Thermo-Fluid Dynamics
• Energy Systems
• +۴ مورد دیگر

Dr. Wael H. Ahmed is a Professor at the University of Guelph's Department of Mechanical Engineering. His research focuses on multiphase flow analysis for energy, water, and food systems, including thermo-fluid dynamics of mechanical systems. He teaches undergraduate courses such as Fluid Mechanics, Thermodynamics, and Heat Transfer, and graduate courses on phase change heat transfer and two-phase flow. His research lab, the Flow, Energy and Dynamics Solution (FEADS) lab, collaborates with industry to develop sustainable solutions for mechanical systems, addressing fluid-structure interaction challenges. Current projects involve optimizing airlift pumps for aquaculture, biogas production, and CO2 capture. Dr. Ahmed emphasizes hands-on learning, engaging students in real-world engineering problems through 'Learning by Doing' initiatives. Key research areas include multiphase flow dynamics, two-phase flow instabilities, and energy-efficient technologies. He has developed innovative pumping systems and sensors for industrial applications, such as the FloNergia airlift pump commercialized with academic-industry partnerships. His work integrates computational fluid dynamics (CFD), experimental validation, and machine learning for flow pattern identification. Recent projects explore applications in nuclear power plant safety, catalytic converter flow analysis, and sustainable energy systems design.

Simone Alioliمشاهده پروفایل

دانشیار

• High-Energy Physics
• Theoretical Physics
• Fundamental Interactions
• +۳ مورد دیگر

Simone Alioli is an Associate Professor at the Department of Physics "Giuseppe Occhialini" at the University of Milano-Bicocca. His research focuses on high-energy theoretical physics, particularly in collider phenomenology and Monte Carlo event generator development. Role: Associate Professor Institution: University of Milano-Bicocca Department: Department of Physics "Giuseppe Occhialini" Research Interests: Theoretical physics of fundamental interactions, precision calculations for hadron colliders, resummation techniques, and Monte Carlo simulations. His work bridges quantum field theory with practical event generation tools for experiments like the LHC and future colliders. High-Energy Physics Quantum Chromodynamics Collider Phenomenology Monte Carlo Methods Effective Field Theories Future Collider Design Article Trends: Recent publications emphasize improving event generator accuracy through NNLO matching, resummation methods for top-quark and Higgs boson production, and feasibility studies for future colliders like FCC. Collaborative works often involve experimental design, software validation, and beyond-Standard-Model investigations. Grants & Projects: P4: Precise Predictions for Particle Phenomenology (2019, MIUR) Improved simulations for the LHC and future colliders (2017, CARIPLO Foundation) REINVENT: Resummation-Improved Monte Carlo Event Generator (2017, European Commission)

Chen Weiمشاهده پروفایل

دانشیار

• Materials Informatics
• Computational Materials Design
• High-Entropy Alloys
• +۵ مورد دیگر

Chen Wei is an Associate Professor in the Department of Materials Design and Innovation at the University of Buffalo's School of Engineering and Applied Sciences. His research focuses on data-driven and physics-based modeling of material systems, computational design of multi-principal element materials, and materials informatics for accelerated discovery. Recent research highlights include: Discovery of intrinsic temperature-dependent elastic anisotropy in NbTaTiV high entropy alloys (Science Advances 2022) Development of interpretable AI frameworks for multiscale materials design (NSF-funded 2019-2025) Creation of open thermodynamic databases with over 1200 metallic phase entries (Scientific Data 2017) Scientific Awards: NSF CAREER Award (2020) for high-entropy alloy research Notable collaborations include University of Tennessee (Prof. Peter Liaw), National Chiao Tung University (Prof. Yi-Chia Chou), and institutions like University of Colorado Boulder, Ohio State University, and Columbia University through NSF grants.

Ertuğrul TAÇGINمشاهده پروفایل

استاد

• Occupational Safety
• Robotics
• Artificial Intelligence
• +۵ مورد دیگر

Prof. Dr. Ertuğrul TAÇGIN serves as Head of the Department of Mechanical Engineering at Doğuş University's Faculty of Engineering. With a career spanning over three decades, he has contributed to robotics, occupational safety, and sustainable manufacturing through extensive research and publications. His research interests focus on: Occupational Safety and Risk Analysis Expert Systems for Robotics and Manufacturing Biomedical Signal Processing for Brain-Computer Interfaces Sustainable Development in Industrial Production Recent publications demonstrate expertise in CNN models for EEG classification, QFD methodology for orthotic devices, and intelligent systems for accident causation analysis. Collaborative work with researchers like Emre ARI and Ayşenur ERDİL highlights interdisciplinary applications of AI and engineering principles. As an advisor, he has supervised publications in journals such as: Biomedical Signal Processing and Control Global Journal of Business and Economics Journal of Intelligent Manufacturing His work bridges robotics, safety engineering, and sustainable design across multiple industries including healthcare, textiles, and construction.

Daniel Lohmannمشاهده پروفایل

استاد

• Operating system construction
• Embedded systems
• System software for dependable real-time systems
• +۶ مورد دیگر

Daniel Lohmann is a Full Professor and Fachgebietsleiter (Head of Department) at the Department of Operating Systems and Middleware within the College of Engineering and Computer Science at Leibniz Universität Hannover . His research focuses on operating system construction , embedded systems , and dependable real-time systems , with a strong emphasis on generative approaches , software product lines , and hardware-RTOS co-design .

Yeo Kiat Sengمشاهده پروفایل

استاد

• Low-power IC Design
• RF/mm-wave Integrated Circuits
• CMOS Technology
• +۴ مورد دیگر

Professor Yeo Kiat Seng is an internationally renowned academic and IEEE Fellow specializing in low-power integrated circuit (IC) design, RF/mm-wave systems, and CMOS technology. He currently serves as Associate Provost for International Relations and Chairman of the University Research Board at Singapore University of Technology and Design (SUTD), while holding adjunct roles at Nanyang Technological University (NTU). Yeo has over 30 years of industry and academic leadership, including founding NTU's VIRTUS IC Design Center and securing over S$70M in research funding. His work focuses on advancing semiconductor technologies for 5G/6G communications, IoT, and energy-efficient systems. Roles: Professor (EPD, SUTD), Associate Provost (International Relations), Adjunct Professor (NTU) Education: B.Eng. (EE, NTU, 1993), Ph.D. (EE, NTU, 1996) Research Interests: Low-power IC design, RF/mm-wave integrated circuits, CMOS technology, visible light communications, and IoT solutions. Yeo has authored 10 books, 7 book chapters, and over 600 refereed publications, with notable contributions to IEEE journals. His patented innovations include world-leading RF filters and transceiver chipsets (e.g., VIRTUS 60GHz chipset). Recent Articles Trends: Focus on 6G/5G systems, AI-driven circuit design, energy harvesting, and miniaturized RF components. Key areas include high-efficiency power amplifiers, low-power receivers, and advanced antenna designs for millimeter-wave applications. Awards: Public Administration Medal (2009), IEEE Fellow (2016), Long Service Medal (2020), Top 2% Global Scientists (2020–2023) Grants & Collaborations: Over S$70M in funding from agencies like Singapore Economic Development Board. Partnerships with industry leaders include Kulicke & Soffa, M1, and Silvaco for 5G robotics and AI-driven IC design platforms. Labs/Teams: Leads SUTD's RF/mm-wave research initiatives and collaborates with NTU's School of EEE. Active in international conferences as Technical Chair and Editor for IEEE Transactions.