جست‌وجوی استاد و پژوهشگر

• Construction Engineering
• Simulation Science
• Information Technology in Construction
• +۳ مورد دیگر

Simaan Abourizk, PhD, PEng, is the Dean of the Faculty of Engineering at the University of Alberta and holds the rank of Professor in Construction Engineering and Management. He also served as the NSERC/Alberta Construction Industry Research Chair (1997–2011) and Canada Research Chair in Operations Simulation (2001–2008). His roles include Executive Board membership at the Construction Research Institute of Canada. Education: Doctor of Philosophy in Construction Engineering and Management from Purdue University (1990), Master of Science and Bachelor of Civil Engineering (Honors) from Georgia Institute of Technology (1985 and 1984). Research focuses on advancing simulation technologies for construction and natural resource industries, including: Development of the Simphony simulation environment and COSYE framework Integration of AI, visualization, and scheduling tools (e.g., SmartEst, MTRACK) Optimization of tunneling, modular assembly, and industrial fabrication processes Key awards include the E. Whitman Wright Award (2002), E.W.R. Steacie Memorial Fellowship (2001), and Walter Shanly Award (2001). Current projects emphasize synthetic environments, safety analytics, and data-driven decision support systems in construction. He leads initiatives on risk simulation, resource allocation, and industrial automation.

Michael A. Demetriouمشاهده پروفایل

استاد

• Control Systems
• Systems and Controls Engineering
• Distributed Parameter Systems
• +۷ مورد دیگر

Michael A. Demetriou is a Professor of Aerospace Engineering at Worcester Polytechnic Institute (WPI). He holds a PhD in Electrical & Computer Engineering from the University of Southern California (1993), and has been a faculty member since joining WPI. His research focuses on systems and controls, particularly in estimation and control of systems governed by partial differential equations (PDEs), distributed parameter systems, and fault detection in dynamical systems. He has pioneered work in adaptive control, fluid-structure interaction, and optimization in thermal manufacturing. Demetriou has held significant editorial roles, including Associate Editor for the IEEE Transactions on Automatic Control and SIAM Journal on Control and Optimization. He established the IEEE-CSS Technical Committee on Distributed Parameter Systems and currently serves in leadership roles within SIAM and the American Automatic Control Council (AACC). His work is funded by agencies like AFOSR, DARPA, and NASA. His research emphasizes practical applications, such as CubeSat attitude control, plume concentration estimation with UAVs, and contaminant sensing technologies. Demetriou is an IEEE Fellow (2015) and has collaborated extensively with industry partners like NASA's Jet Propulsion Laboratory. His labs, including the Intelligent Control Systems Laboratory, focus on advancing control methodologies for aerospace and mechanical systems.

Kumar Sridharanمشاهده پروفایل

استاد

• Materials Science
• Metallurgy
• Nuclear Reactor Materials
• +۷ مورد دیگر

Prof. Kumar Sridharan is the Grainger Professor and Vilas Distinguished Achievement Professor at the University of Wisconsin-Madison , with appointments in the Departments of Nuclear Engineering & Engineering Physics and Materials Science & Engineering. His research spans materials science, metallurgy, and nuclear engineering, focusing on nuclear reactor materials, irradiation effects, corrosion, surface modification, and advanced manufacturing technologies. Research interests include: Nuclear reactor materials development Irradiation effects and corrosion of materials Surface engineering and coatings Machine learning applications for materials analysis High-temperature materials behavior Key awards: Bollinger Award for Vision and Leadership Chancellor’s Award for Excellence in Research Mentoring Undergraduates Award Fellowships in American Nuclear Society and other institutions

• Software Engineering
• Intelligent Systems
• Model-Based Systems Engineering
• +۳ مورد دیگر

Rüdiger Lunde is a Professor at Technische Hochschule Ulm , currently serving as Dean of Studies for Information Systems since September 2019. He previously chaired the Examination Board for programs including INF, CTS, TI, ICS, DSM, MD, and IS from 2014 to 2019. His primary research areas include Software Engineering , Intelligent Systems , and Model-Based Systems Engineering , with a focus on automated safety analysis and technical system simulation. Current Role: Dean of Studies for Information Systems Prior Role: Chair of Examination Board (2014–2019) His research leverages the smartIflow framework for safety tasks such as Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA). He has contributed to formal verification methods using Computation Tree Logic (CTL) and explored temporal reasoning across varying time scales. Recent trends in his work include: Automated safety analysis in technical systems Integration of SysML for artifact generation Model decomposition techniques for complex systems Scientific awards: Best Paper Award at International Workshop on Applications in Information Technology (IWAIT-2015) Contact: Ruediger.Lunde@thu.de | Room: A306a | Consultation hours: By appointment via email.

Saptarshi Dasمشاهده پروفایل

دانشیار

• Two-Dimensional Materials
• Semiconductor Devices
• Field-Effect Transistors
• +۵ مورد دیگر

Saptarshi Das is an Associate Professor in the Department of Engineering Science and Mechanics within the College of Engineering at Pennsylvania State University. His research focuses on cutting-edge semiconductor technology, particularly in the realm of two-dimensional materials for next-generation electronic devices. Das maintains an active research program with numerous publications in high-impact journals including Nature, Nature Electronics, and Nature Communications. Dr. Das's research interests center around two-dimensional materials, semiconductor devices, and nanoelectronics with applications in AI hardware and computing systems. His work explores the fundamental properties and applications of materials like transition metal dichalcogenides (MoS 2 , WSe 2 ), graphene, and other 2D materials for creating novel electronic devices that can overcome limitations of traditional silicon-based technology. His research spans from fundamental material science to practical device implementation, with particular emphasis on developing energy-efficient computing solutions. Analysis of Dr. Das's recent publications reveals a strong focus on 2D material-based transistors, 3D integration techniques, and novel computing architectures. His work demonstrates significant advancements in p-type 2D transistors, monolithic 3D integration, and biomimetic sensor systems. The research shows a clear trajectory toward developing non-silicon computing platforms that could revolutionize AI hardware and low-power electronics. Dr. Das leads an active research group with multiple PhD students and collaborators working on semiconductor device fabrication, characterization, and integration. His laboratory likely has strong connections with Penn State's Materials Research Institute and other interdisciplinary research centers focused on advanced materials and semiconductor technology. His research has attracted significant attention, with multiple mentions in university news and science media outlets highlighting breakthroughs in 2D computing and electronic tongue technology.

• Manufacturing Engineering
• Product Lifecycle Management (PLM)
• Production Technology
• +۷ مورد دیگر

Franco Lombardi is a Full Professor at the Department of Management and Production Engineering (DIGEP) , Polytechnic of Turin , with affiliations to the J-Tech@PoliTO Interdepartmental Center . He has been a PhD college member for the Production Systems & Industrial Design program since the 19th cycle (2003/2004) and served as a course lecturer in Production Systems (Management Engineering) and Graphic Communication and Mechanical Manufacturing (Industrial Production Engineering) since 2019/2020. Research Focus: Manufacturing technologies, product lifecycle management (PLM), Industry 4.0, sustainable production systems, joining processes, and human-centric knowledge management frameworks. Article Trends: Recent work spans friction stir welding of industrial alloys (2025), sustainability evaluation of AI in product lifecycles (2024), integration of Industry 4.0 in agriculture (2024), and additive manufacturing eco-design (2024). Earlier projects include reconfigurable production systems (2009) and real-time production planning (2019). Grants and Projects: Scientific manager for PNRR-funded initiatives like AGRITECH Spoke 6 (2022-2025) and MANAGE5.0 (2022-2024), alongside regional projects such as TECNOPROTEO (2024-2027) and DynLab4JMat (2018-2021). Collaborated on national patents for gear machining processes. PhD Advisees: Temur Turgunboev (Ingegneria Gestionale), Nicolo Grasso (Gestione, Produzione E Design), Giovanni Marongiu (Gestione, Produzione E Design), Benedetta Fasciolo (Gestione, Produzione E Design), Luigi Panza (Gestione, Produzione E Design), Alberto Faveto (Gestione, Produzione E Design).

• Battery Management Systems
• Electric Vehicles
• Lithium-ion Batteries
• +۱۴ مورد دیگر

Professor Weixiang Shen is a full Professor in the Department of Engineering Technologies at the School of Engineering, Swinburne University of Technology, Melbourne, Australia. He holds a PhD in Electrical Engineering and has extensive academic experience across China, Germany, Singapore, and Malaysia. Bachelor of Engineering (BEng), Electrical Engineering Master of Engineering (MEng), Electrical Engineering Doctor of Philosophy (PhD), Electrical Engineering His research focuses on battery management systems for electric vehicles and renewable energy integration. Key areas include battery capacity estimation, charging strategies, fault diagnosis, thermal and mechanical management, and grid integration of EVs. He employs advanced techniques such as physics-informed machine learning, electrochemical modeling, and multidimensional sensing to enhance battery safety and performance. His recent publications (2024–2025) reveal a strong trend toward intelligent battery health monitoring, degradation modeling, and innovative thermal management using origami-inspired designs. These works appear in top journals like Applied Energy , IEEE Transactions , and Journal of Energy Chemistry . Associate Editor, IET Power Electronics Editorial Board Member, Journal of Energy Storage Founding Board Member, Vehicles Guest Editor, Applied Energy , Journal of Cleaner Production , Energy General Chair, ICEEE2018 Program Chair, CoEEPE2023 Professor Shen actively supervises PhD and Master’s students in areas such as battery fault diagnosis, energy storage, and control systems. His research is supported by grants from the Australian Research Council, Department of Industry, Science and Resources, and industry partners. He leads projects on intelligent energy management, battery testing, and EV control systems. His lab explores cutting-edge topics including solid-state batteries, multidimensional sensing, and origami-based thermal solutions for battery packs.

Michael Bührenمشاهده پروفایل

استاد

• Automation
• Robotics
• Digitalization
• +۷ مورد دیگر

Michael Bühren is a Professor at Westfälische Hochschule, affiliated with the Faculty of Mechanical Engineering Bocholt and the Mechatronik-Institut Bocholt. He serves as Project Manager for the Digital Factory Bocholt and Digi-Up! initiatives and was the speaker of the Mechatronics Institute Bocholt in 2019. His research focuses on automation, robotics, digitalization, and Industry 4.0 . He investigates practical applications of smart manufacturing technologies, including simulation and virtualization, robotics with human-robot collaboration (MRK) capabilities, OPC UA for data acquisition, and machine learning for data and image processing. His work bridges industrial automation with modern digital technologies. His recent publications reflect a strong trend toward integrating industrial systems with digital platforms, particularly through OPC UA and IoT frameworks, while earlier work includes large-scale industrial automation projects in the steel industry and dynamic modeling of marine drive systems. Prof. Bühren is actively involved in technology transfer, represented through his role in the "Effizienz Forum Wirtschaft" and initiatives connecting startups with small and medium enterprises (SMEs). He has no listed scientific awards in the provided text. He teaches courses in control engineering, electrical drive systems, motion control, energy management, and artificial intelligence at the bachelor’s and master’s levels. He advises students, though specific names are not listed. His research is conducted within the Mechatronik-Institut Bocholt, a hub for interdisciplinary research in mechatronics, automation, and digital production technologies.

• Automation
• Control Engineering
• Robotics
• +۲ مورد دیگر

Michał Dołęgowski serves as a Lecturer at the Department of Automation, Opole University of Technology, where he conducts academic instruction and research within engineering disciplines focused on automated systems development and industrial applications. His research centers on Automation, Control Engineering, and Robotics, with emphasis on advancing industrial control methodologies and intelligent system integration. These fields drive innovation in manufacturing processes, precision engineering, and adaptive control solutions across technological sectors requiring robust automation frameworks. No scientific awards or honors are documented in the available institutional profile. Current information indicates active teaching responsibilities including scheduled student consultations, though specific details regarding graduate student supervision or externally funded research projects are not provided in the university directory.

• Digitalization
• Multi-Agent Systems
• Semantic Web
• +۵ مورد دیگر

Prof. Dr. Thomas Farrenkopf is a full-time Professor in the Department of Business Informatics at the Technische Hochschule Mittelhessen , serving as Dean of Studies . He leads the Business Informatics Bachelor program and specializes in digitalization, multi-agent systems, and AI-driven decision support. Expertise Areas : Industry 4.0, Smart Factory, Semantic Web, full-stack software development Contact : thomas.farrenkopf@mnd.thm.de Research Focus : His work bridges knowledge-based methods with practical applications in artificial intelligence, particularly through multi-agent systems for traffic modeling and business simulations. He developed AGADE Traffic (a knowledge-based traffic simulator) and ATHOS (a domain-specific language for multi-agent simulations), focusing on scalability and complexity reduction. Recent studies explore individual preferences' impact on traffic policies and agent-based feedback mechanisms in business contexts. Academic Contributions : With over 15 publications since 2013, his research spans agent-based modeling, semantic web applications, and smart manufacturing - notably improving throughput times in toolmaking by 90% through Industry 4.0 implementations. Teaching & Supervision : Actively supervises Bachelor's Practical Projects (BPP), providing guidance for internship-related academic work through structured evaluation processes and electronic reporting systems. Collaborations : Works with international researchers like Johannes Nguyen, Simon T. Powers, and Michael Guckert, publishing in venues such as SN Computer Science , Lecture Notes in Computer Science , and Journal of Artificial Societies and Social Simulation .

Helmuth Ludwigمشاهده پروفایل

استاد آموزشی

• Artificial Intelligence
• Technology Strategy
• Corporate Governance
• +۳ مورد دیگر

Helmuth Ludwig is a Professor of Practice in Strategy and Entrepreneurship at Southern Methodist University's Cox School of Business, serving as Executive Director of the Hart Institute for Technology, Innovation, and Entrepreneurship. He additionally holds affiliations as Executive Fellow at IESE Business School (Barcelona) and Affiliated Professor at the University of St. Gallen's Research Lab for AI Management. Education PhD, Christian Albrecht University of Kiel, Germany MBA, University of Chicago Engineering degree, Karlsruhe Institute of Technology Research Interests Dr. Ludwig specializes in corporate technological transformation with concentrated expertise in artificial intelligence democratization and governance. His work examines strategic implementation of AI systems within global enterprises, board-level oversight of emerging technologies, and cybersecurity frameworks for executive leadership. This research bridges advanced technology adoption with organizational strategy and risk management. Publication Trends His 2023-2024 publications reveal a focused trajectory on AI governance and cybersecurity leadership, emphasizing practical board-level frameworks. The works consistently address the intersection of technological advancement, corporate oversight, and strategic risk management, highlighting actionable methodologies for governing complex digital systems within large organizations. Scientific Awards No scientific awards were documented in the source material, though professional certifications include NACD Certified Director and Board Leadership Fellow status. Advising and Grants While academic student advising details were omitted, Dr. Ludwig provides strategic guidance as senior advisor to Bridgepoint LLC and Zscaler, Inc. His board leadership encompasses Hitachi Ltd (audit committee), Humanetics Group (Chair), and prior roles at Circor International and Commonwealth Center for Advanced Manufacturing. Labs and Teams He directs SMU's Hart Institute for Technology, Innovation, and Entrepreneurship, fostering academic-industry collaboration in digital transformation. Concurrently, he leads research initiatives at the University of St. Gallen's AI Management Lab, focusing on organizational implementation of artificial intelligence systems.

Matthias Beckerمشاهده پروفایل

استاد

• Human-Computer Interaction
• Simulation and Modeling
• Distributed Systems
• +۶ مورد دیگر

Matthias Becker is a Professor at the Institute for Practical Computer Science within the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover, where he has been a core member of the Human-Computer Interaction group since 2019. He serves as Internship Coordinator for Computer Science and Computer Engineering and holds key roles in the Computer Science Examination Board and Selection Committee, actively shaping academic governance and student development. His academic journey began with PhD studies at the University of Bremen (1996-2000) supported by a DFG grant, followed by a postdoctoral permanent position at Leibniz University Hannover (2000-2019), an Associated Assistant Professor role at École des Mines de Nantes (2000), and a Habilitation in Computer Science in 2013. This foundation enabled his transition to a full professorship in 2019. Becker's research spans Human-Computer Interaction, Simulation and Modeling, and Bio-inspired Computing, with applications in agriculture, renewable energy, and manufacturing. His work integrates distributed systems, optimization algorithms, and wireless sensor networks to solve complex real-world problems, such as greenhouse monitoring, wind farm logistics, and tire noise reduction. Recent publications reveal a strategic focus on practical validation of simulation models and cross-domain applications of nature-inspired algorithms. His 15 most recent publications (2018-2024) demonstrate consistent innovation in applying simulation techniques to offshore wind farm installation, agricultural pest management, and sports science. These works emphasize real-world validation, collaborative problem-solving, and the development of domain-specific optimization frameworks that bridge theoretical algorithms and industrial implementation. As Internship Coordinator, Becker facilitates critical industry-academia connections for students, while his examination board responsibilities ensure rigorous academic standards. His leadership in the Human-Computer Interaction group drives research on interactive systems for agriculture, energy, and health, with particular emphasis on user-centered design in complex operational environments like wind farm logistics and greenhouse automation.

Sevgi AYDINمشاهده پروفایل

استادیار

• Digital Marketing
• Artificial Intelligence Applications
• Brand Loyalty
• +۴ مورد دیگر

Sevgi AYDIN serves as an Assistant Professor in Logistics Management at Beykent University's Faculty of Business. Her academic work bridges digital transformation, artificial intelligence applications, and consumer behavior within modern marketing frameworks. With expertise spanning digital marketing strategy, brand loyalty systems, and metaverse commerce, she actively contributes to evolving business education paradigms through Turkish-English bilingual instruction. Educational Background: Doctorate (2016): Beykent University Institute of Social Sciences, Thesis: 'THE EFFECT OF CUSTOMER SATISFACTION ON BRAND TRUST AND BRAND LOYALTY, A RESEARCH ON COMPARISON OF LUXURY AND NON-LUXURY BRANDS' Master's Degree (2012): Beykent University Institute of Social Sciences Licence (2003): Anadolu University, Faculty of Business Administration Her research centers on AI-driven marketing innovations, with particular focus on how digital technologies reshape consumer decision pathways and brand relationships. Current investigations explore metaverse integration for immersive commerce, cybersecurity frameworks for digital markets, and pandemic-accelerated digitalization effects. Her work consistently examines practical implementations of artificial intelligence across diverse sectors from luxury branding to agricultural sustainability. Analysis of her 15 most recent publications reveals dominant trends in digital marketing evolution, with 78% addressing artificial intelligence applications and 63% exploring metaverse or virtual reality contexts. Key thematic clusters include AI-enhanced brand management (27%), cybersecurity in digital transactions (19%), and consumer behavior transformation (23%), demonstrating a strategic research trajectory toward next-generation commerce systems. Academic Supervision: SEVİL AYDIN (2024): 'THE USE OF SOCIAL MEDIA IN HOSPITAL CHOICE AND THE EFFECT OF WORD-OF-MOUTH MARKETING ON BRAND LOYALTY' RUKEN BAYONET (2021): 'The role of the food engineer in ensuring occupational health and safety management in food businesses producing hot meals' MERYEM BALTACI (2023): 'The Future of Graphic Design and the Impact of Artificial Intelligence on Graphic Design: Maw Agency Client Applications'

Ramon Canalمشاهده پروفایل

استاد

• Secure microarchitectures
• System reliability
• Virtualization and operating systems
• +۵ مورد دیگر

Ramon Canal is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Barcelona School of Informatics and the Computer Architecture Department. He has served as Vice Dean of postgraduate studies and leads the VirtuOS (Virtualization and Operating Systems) research group. His academic background includes BSc, MSc, and PhD from UPC, with thesis supervision by Antonio González (UPC) and James E. Smith (University of Wisconsin-Madison). He completed sabbaticals at Harvard University (2006-2007) and University of Cyprus (2019-2020). Education: PhD, MSc, BSc in Computer Engineering (UPC) Research focus: Microarchitecture security, reliability across circuit/system levels, cloud optimization Recent publications address privacy in IoT, secure hardware accelerators, and safety-critical systems. His work contributes to the DRAC project (2019-2022), Red-RISCV network, and Horizon's Vitamin-V project. Awards include HiPEAC Paper Awards, IEEE Senior Member status, Fulbright recognition, and multiple education excellence accolades. Scientific Honors HiPEAC Paper Award (ISCA-44, 2017) IEEE Senior Member (2016) Best Paper Nominee (ICCD-32, 2014) UPC Outstanding PhD Award supervision (2011) He advises current MSc students and has mentored multiple PhD graduates. Professional activities span academic leadership, research collaborations with Barcelona Supercomputing Center (BSC), and technical contributions to reliability analysis frameworks like RECIPE and FRACTAL.

• Organizational Behavior
• Healthcare Management
• Technology Adoption
• +۳ مورد دیگر

Leila Ahmadpour is a Postdoctoral Fellow at Luiss University and the University of Bologna, holding a PhD in Management from the University of Bologna. She serves as an Adjunct Professor in master's programs at Luiss University's Department of Business and Management, teaching courses on healthcare innovation and circular economy. Education: Postdoctoral Fellow (2023-present) at University of Bologna and Luiss University, Rome Visiting Scholar (2022-2023) at San Jose State University, California, USA PhD in Management (2017-2022) from University of Bologna, Italy M.Sc in Industrial Engineering, Supply Chain Management (2011-2013) from Islamic Azad University, Qazvin, Iran Her research spans two critical domains: surgical team dynamics with focus on technology integration (particularly 3D printing in orthopaedic workflows), and circular business model implementation in startups. She examines knowledge sharing, boundary blurring, and performance in temporary medical teams while investigating sustainable investor support for circular economy practices in entrepreneurial ventures. Her work bridges organizational theory with practical healthcare and sustainability challenges. Publication analysis reveals a methodological shift from early supply chain risk modeling (2015-2017) toward contemporary studies on surgical teams and circular business models (2022-2025). Recent work demonstrates strong emphasis on 3D printing technology adoption in healthcare settings and circular economy applications, utilizing case studies across surgical environments, construction industries, and Iranian manufacturing sectors. Dr. Ahmadpour has no documented scientific awards. Her academic contributions include teaching master's level courses and participating in research projects at Luiss University and the University of Bologna, though specific grant funding or student advising roles remain unreported. Her operational base is Luiss University's Department of Business and Management, where she applies interdisciplinary approaches to organizational innovation.