جست‌وجوی استاد و پژوهشگر

• Geodesy
• Geographic Information Systems (GIS)
• Spatial Modeling
• +۷ مورد دیگر

Rizwan Bulbul is a researcher at the Institute of Geodesy , Graz University of Technology (TU Graz), Austria. His work bridges geodesy, geographic information systems (GIS), and computational modeling. Research Interests : Bulbul's research focuses on geospatial modeling, artificial intelligence integration, and sustainable urban development. Key areas include smart tourism simulations, energy transition policy analysis, and off-road robotic navigation using machine learning. His work also addresses forest fire prediction uncertainty, vertical photovoltaic potential, and cattle tracking in alpine environments. Publications : His research spans spatial optimization, 3D city modeling, and semantic routing. Recent projects involve leveraging AI for tourism simulations and energy policy evaluation, demonstrating interdisciplinary applications of geospatial technologies. Contact : Email: bulbul@tugraz.at Office: TU Graz, Steyrergasse 30/I, Room ST01122

James D. Brooksمشاهده پروفایل

استاد

• Human-Automation Interaction
• Control Systems
• Queueing Theory
• +۳ مورد دیگر

James D. Brooks serves as Chair and Professor in the Department of Electrical and Computer Engineering at Grove City College, leveraging 17 years of industry experience from GE Transportation and GE Research to bridge academic theory with real-world engineering applications. His educational credentials include: Ph.D. in Systems Engineering, Rensselaer Polytechnic Institute M.S. in Electrical and Computer Engineering, Georgia Institute of Technology B.S. in Electrical Engineering, Grove City College Research centers on human-automation interaction (examining how control system design impacts operator trust and performance) and queueing systems with human agents (developing mathematical models for systems like hurricane debris removal). This work integrates control theory, human factors, and operations research to solve complex socio-technical problems in transportation and disaster response. Recent publications (2023-2025) reveal dominant trends in railroad automation, with emphases on adaptive vehicle control, distributed systems coordination, safety protocol implementation, and human-machine interface optimization. Key subfields span autonomous train handling, energy management, real-time decision support, and cognitive workload reduction. Notable achievements include: Over 30 issued U.S. patents in vehicle and building automation systems He actively mentors students through senior design projects and industry-collaborative research, emphasizing curiosity, integrity, and deep system understanding. His industry partnerships with Wabtec and legacy GE entities provide students with direct exposure to autonomous vehicle development and building automation challenges. Research initiatives focus on translating theoretical models into deployable solutions, particularly through simulation platforms for industrial prototyping and human factors integration in railroad control systems.

• Software
• Intelligent informatics
• Control and system engineering
• +۴ مورد دیگر

Professor Shigeru Fujimura is affiliated with Waseda University as a faculty member of the Faculty of Science and Engineering , specifically in the Graduate School of Information, Production, and Systems . With a PhD in Engineering from Waseda University, his research focuses on intelligent informatics and system engineering , particularly in scheduling, optimization, and human-robot collaboration. His research spans multiple domains including: Deep Reinforcement Learning for combinatorial optimization Energy-efficient manufacturing systems Multi-agent collaboration frameworks Augmented Reality interfaces IoT business modeling Recent publications demonstrate expertise in graph neural networks , particle swarm optimization , and generative adversarial networks applied to industrial problems. He has received multiple awards including the Invention Encouragement Prize (2003) and IEEJ Paper Presentation Award (1994) .

David C. Grossمشاهده پروفایل

استاد آموزشی

• Model-Based Systems Engineering
• Digital Engineering
• Modeling and Simulation
• +۴ مورد دیگر

David C. Gross serves as a Teaching Professor in the Department of Industrial & Manufacturing Engineering at Florida State University's Panama City campus, specializing in model-based systems engineering, digital engineering, and human-computer interaction with emphasis on virtual environments and naval/aerospace systems. His industry leadership at Boeing and Lockheed Martin includes roles as Chief Technologist for Modeling & Simulation and Deputy Chief Engineer for simulation labs. Dr. Gross holds a PhD in Systems and Industrial Engineering from the University of Central Florida, an MS in Operations Research from the University of Alabama at Huntsville, and a BS in Computer Science from Auburn University. His research bridges theoretical frameworks with practical applications in power distribution systems for naval vessels, CubeSat-based space situational awareness, and affordance theory in virtual environments. His scholarly output demonstrates consistent innovation in Model-Based Systems Engineering (MBSE) methodologies across defense and aerospace domains. Recent work focuses on functional architecture baselining for power electronic systems, parameter optimization in naval design, and space situational awareness visualization. Cross-cutting themes include semantic interoperability, fidelity measurement, and human factors integration in complex systems engineering. Dr. Gross has been awarded the NASA Faculty Fellowship for his contributions to aerospace research. His industry impact includes leading $1B+ technical innovations and influencing over $3B in business opportunities through systems engineering leadership at major defense contractors. His academic work is deeply informed by two decades of industry experience where he pioneered modeling and simulation standards through organizations like the Simulation Interoperability Standards Organization (SISO). Current research directions include sustainable transportation planning and MBSE applications for emerging energy systems, building on his foundational work in affordance-based virtual environment design.

Qingyang Linمشاهده پروفایل

استاد پژوهشی

• Pore-Scale Imaging
• Transport in Porous Media
• Energy Engineering
• +۵ مورد دیگر

Qingyang Lin is a PhD Research Professor and Doctoral Supervisor at the College of Energy Engineering, Zhejiang University , where he joined in October 2020. His expertise lies in pore-scale imaging and modeling of transport in porous media, with applications across energy sectors. Prior to this, he was a Research Associate at Imperial College London (2015-2020), collaborating with Prof Martin J. Blunt (FREng). He holds a PhD (2015) in Earth Science and Engineering from Imperial College London, supervised by Prof Stephen Neethling and Prof Peter Lee (FREng). His research integrates advanced X-ray imaging, synchrotron sources, and numerical models to study micro/nano-scale transport mechanisms. Key research themes: CO 2 storage and uncertainty quantification Thermal energy storage optimization Decarbonization strategies for industries Electrochemical device design Mineral and ore processing His publications span journals like Applied Energy , AIChE Journal , and Geophysical Research Letters , reflecting interdisciplinary applications of porous media transport. While no specific awards or grants are mentioned, his work has accrued over 2900 citations with an h-index of 32. He advises doctoral students at Zhejiang University, though no advisees are named in the provided text.

• Energy Efficiency
• Refrigeration Technology
• Thermal Systems Analysis
• +۳ مورد دیگر

Clark W. Bullard is a Research Professor and Professor Emeritus in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign. He holds affiliations with the Grainger College of Engineering and has served as Executive Director of the Institute for Competitive Manufacturing and Director of the Air Conditioning & Refrigeration Center (ACRC). His career spans over 35 years in academia, policy, and public service. Education: Ph.D., Aerospace Engineering, University of Illinois at Urbana-Champaign (1971) M.S., Aerospace Engineering, University of Illinois at Urbana-Champaign (1968) B.S., Aerospace Engineering, University of Illinois at Urbana-Champaign (1966) Research Interests: Technological innovation in energy and environmental systems Thermal systems analysis and refrigeration technology Simulation models for energy policy and institutional change His work emphasizes sustainable technologies, energy efficiency, and the policy frameworks needed to transition to cleaner systems. Key Contributions: Founded the ACRC, a 25-company consortium advancing energy-efficient refrigeration Developed design tools for HVAC systems and CO₂-based refrigeration cycles Advocated for environmental policies, including halting harmful reservoir projects Awards: J&E Hall Gold Medal (2004) ASHRAE-Alco Medal for Public Service (2008) Chevron Conservation Award (1990) Public Service: Bullard has led task forces on Illinois water/energy policy, served on the National Wildlife Federation board, and organized citizen groups to protect ecosystems. His career bridges technical innovation, policy advocacy, and community engagement.

Leonardo Duenas-Osorioمشاهده پروفایل

استاد

• Infrastructure Resilience
• Quantum Computing Applications
• Network Reliability
• +۷ مورد دیگر

Leonardo Duenas-Osorio is a Professor of Civil and Environmental Engineering at Rice University, affiliated with the George R. Brown School of Engineering. He holds a Ph.D. from Georgia Institute of Technology (2005) and advanced degrees from MIT and Colombian universities. His research focuses on computational methods for infrastructure resilience, quantum computing applications in engineering, and risk assessment of interdependent systems. Key areas include network reliability, disaster management, and smart grid resilience. He leads the SISRRA research group, collaborating with statisticians, computer scientists, and engineers to address societal challenges. Recognitions include the NSF CAREER Award (2008), IASSAR Early Achievement Award (2017), and the 2020 Society for Risk Analysis Best Paper Award. His work is funded by NSF, DoD, NIST, and city initiatives. Current projects explore quantum algorithms for infrastructure reliability, socio-technical community resilience, and decentralized network restoration strategies. Education: B.S., Universidad de La Salle, 1996 M.S., Universidad de Los Andes, 1998 Professional Masters, Pontificia Universidad Javeriana, 2000 M.Eng., MIT, 2001 Ph.D., Georgia Tech, 2005 Research interests span infrastructure resilience quantification, quantum-classical optimization, and risk analysis of lifeline systems. He serves as Associate Editor for Natural Hazards Review and Structural Safety , and actively participates in ASCE committees. His group emphasizes interdisciplinary collaboration, addressing urban water security, hurricane risk economics, and topology optimization of critical networks.

Abhinav Bhateleمشاهده پروفایل

دانشیار

• High Performance Computing
• Systems
• Networking
• +۴ مورد دیگر

Abhinav Bhatele is an Associate Professor in the Department of Computer Science at the University of Maryland, College Park, and directs the Parallel Software and Systems Group. He holds affiliate roles in the AIM Institute and AMSC Program. His research focuses on high-performance computing, systems, networking, and AI, particularly in parallel computing, distributed AI, and machine learning applications. He has contributed to frameworks like AxoNN and Hatchet, and his work spans performance modeling, network simulation, and scalable deep learning. Education: Ph.D. (2010), M.S. (2007), and B.Tech. (2005) in Computer Science from the University of Illinois at Urbana-Champaign and IIT Kanpur, respectively. Prior to UMD, he was at Lawrence Livermore National Laboratory (2011–2019). Research interests include parallel systems, network design, performance analysis tools, and applying machine learning to optimize HPC workflows. He has received notable awards, including the IEEE TCSC Award (2023), NSF CAREER (2021), and UIUC Early Career Alumni Award (2024). Key achievements include developing open-source tools like Hatchet and AxoNN, optimizing large-scale LLM training, and advancing GPU-based supercomputing. He advises over 10 students and has secured grants totaling millions, focusing on HPC software ecosystems and AI integration. Professional service includes roles at SC, ISC conferences, and editorial work for IEEE TPDS. His lab collaborates on projects like the Exascale Computing Project and DOE INCITE allocations.

• Machine Learning in Mechanical Systems
• Fluid Mechanics
• Renewable Energy Systems
• +۴ مورد دیگر

Dr. Muhammad Sajid is an Assistant Professor in Automotive Engineering (Fluid Mechanics) at the School of Mechanical and Materials Engineering, University College Dublin. He holds a B.Eng. from NUST (Pakistan), a Master's from ENSAM ParisTech (France), a PhD from University of Cergy Pontoise (France), and completed postdoctoral research at Texas A&M University Qatar and NUST. His research focuses on integrating AI/ML with mechanical engineering challenges, particularly in fluid dynamics, renewable energy systems, and smart building technologies. He coordinates courses like Computational Fluid Mechanics and Mechanics of Fluids. His work spans experimental and numerical studies in energy harvesting, HVAC optimization, and sustainable urban infrastructure. As PI of the AIMS laboratory, he leads projects on AI-driven mechanical systems. He actively participates in international conferences and has authored over 50 peer-reviewed publications. Education: Bachelor of Engineering (B.Eng.), National University of Sciences and Technology Master’s Degree, École Nationale Supérieure d’Arts et Métiers (ENSAM) Paris Tech PhD, University of Cergy Pontoise Postdoctoral Research: Texas A&M University at Qatar and NUST Research interests include cloud-based high performance computing for fluid dynamics simulations, solar/wind energy forecasting using machine learning, IoT sensor analytics for HVAC systems, and aerodynamic design optimization. His recent work emphasizes achieving net-zero energy buildings through smart environmental control systems.

Bart Simonمشاهده پروفایل

استاد

• Game Studies
• Science and Technology Studies
• Cultural Sociology
• +۷ مورد دیگر

Bart Simon is a Professor in the Department of Sociology and Anthropology at Concordia University, and Director of the Milieux Institute for Arts, Culture and Technology. He co-founded the Technoculture, Art and Games (TAG) research centre. His work bridges game studies, science and technology studies, and cultural sociology, focusing on game cultures, socio-materiality, and everyday life. Simon holds a PhD from the University of California, San Diego. His current research explores immersive theatre, materialities of play, and Minecraft communities, funded by the Social Sciences and Humanities Research Council of Canada (SSHRC). Notable projects include SunBlock One, a solar-powered Minecraft server integrating renewable energy education, and studies on indie game scenes and modding cultures. His academic contributions span over 40 publications, including works on digital culture, liveness in performance, and the cultural politics of gaming. Simon actively engages in public scholarship through exhibitions, workshops, and interdisciplinary collaborations, emphasizing community-driven research and sustainability.

• Swirling Flows
• Fluid Dynamics
• Thermal Comfort
• +۳ مورد دیگر

Ijhar Rusli is a Research Fellow at Coventry University's Research Centre for Fluid and Complex Systems, specializing in fluid dynamics, swirling flows, and thermal comfort. His research focuses on experimental and numerical investigations of flow dynamics in confined systems, cryogenic fluid measurement technologies, and automotive exhaust catalyst optimization. He holds a Doctorate in Mechanical Engineering from Coventry University, an MSc in Energy Engineering from Universiti Putra Malaysia, and a Bachelor's in Mechanical Engineering from Universiti Teknologi MARA. Key research contributions include studies on square channel pressure losses, LNG density measurement via electrical capacitance tomography, and swirling flow velocity characterization using hot-wire anemometry. His work bridges fundamental fluid mechanics with practical applications in automotive engineering and building energy efficiency. Notable projects include thermal comfort simulations in tropical commercial spaces and energy-saving assessments for protected building environments. His research has been published in peer-reviewed journals and conferences, with applications spanning industrial fluid systems to sustainable architectural design.

• Cybersecurity
• Internet of Things (IoT)
• Blockchain
• +۷ مورد دیگر

Amar Kumar Seeam is a Lecturer at the Mauritius Campus of Middlesex University. He holds a PhD in Building Simulation and Predictive Control from the University of Edinburgh (2015). His research spans cybersecurity, IoT, smart cities, eHealth systems, and public administration innovations. He has led projects on blockchain-based healthcare systems, augmented reality control platforms, and cyber deception frameworks for IoT-edge networks. Notably, he contributed to pandemic response initiatives like ventilator prototyping during the 2020-21 crisis and developed disinfection technologies using visible light. He co-founded the Centre for African Smart Public Value Governance (C4SP), focusing on policy innovation in African urban development. His work integrates interdisciplinary approaches, combining technical systems with societal impact analysis. Education: PhD in Building Simulation (University of Edinburgh, 2015) Key Projects: MRIC/IEEE-funded multi-purpose light disinfection chamber Smart tourism chatbot for Mauritius Cybersecurity frameworks for IoT and SCADA systems Research Interests: Cyber-physical security, AI in education, blockchain healthcare systems, and sustainable energy management. His work emphasizes practical applications in developing regions, such as Mauritius and Africa, focusing on scalable solutions for public infrastructure and digital governance. Recent articles highlight trends in AI-driven education tools, cultural governance in multicultural projects, and IoT security protocols. His contributions span conferences like IEEE, ACM, and Edward Elgar Publishing, addressing both technical and policy-oriented challenges in emerging technologies.

Piero Colajanniمشاهده پروفایل

استاد

• Structural Engineering
• Seismic Engineering
• Concrete Structures
• +۳ مورد دیگر

Piero Colajanni is a Full Professor of Engineering at the University of Palermo, specializing in structural and seismic engineering. His research develops innovative solutions for seismic protection, including dissipative devices and hybrid structural systems. Current projects investigate friction-based connections for earthquake-resilient buildings, tsunami vulnerability of masonry structures, and applications of geopolymer recycled concrete. Recent publications demonstrate expertise in seismic retrofit design methods and hybrid beam-column joint behavior. Teaching includes Construction Technique Laboratory and Design of Structures in Seismic Areas. International collaborations span universities in France, Romania, and Spain through Erasmus agreements. Supervised student research addresses seismic vulnerability assessment of municipalities and innovative structural systems.

Paulo Cesar Tabares-Velascoمشاهده پروفایل

دانشیار

• Building Energy Simulation
• Thermal Storage
• Green Roofs
• +۳ مورد دیگر

Dr. Paulo Cesar Tabares-Velasco is an Associate Professor in the Mechanical Engineering Department at the Colorado School of Mines. His research focuses on building energy simulation, thermal storage, green roofs, and smart grid integration. Previously, he worked at the National Renewable Energy Laboratory (NREL), developing tools like BEopt and advancing phase change material (PCM) modeling in EnergyPlus. He holds a PhD from Penn State University, an MSc from Colorado State University, and a BSc from the Monterrey Institute of Technology. His work has earned multiple awards, including the 2009 Crosby Field Award and the 2011 Green Roof Research Award. He leads the Advanced Multiscale Building Energy Research (AMBER) Group and contributes to the Sustainable Energy Undergraduate Program. Key research areas include cross-laminated timber (CLT) thermal performance, district energy systems, and energy storage optimization. Publications highlight innovations in PCM validation, CLT moisture monitoring, and building-grid interaction. He collaborates with national labs and industry partners to advance energy-efficient construction and grid resilience.

Patrik Ehrmannمشاهده پروفایل

پژوهشگر

• Gamma-ray Astronomy
• High Energy Astrophysics
• 3D Modeling of Physical Systems
• +۳ مورد دیگر

Patrik Ehrmann is a researcher affiliated with the Chair of Astronomy at Julius-Maximilians-Universität Würzburg. He works in the field of astrophysics, focusing on the characterization of ultra-high-energy cosmic rays (UFS), gamma-ray detection from lightning events, and solar particle interactions. His research involves advanced computational methods, including GEANT4 simulations LiDAR-based environmental measurements 3D modeling of observatory structures like the 'Kugelalm' at the Hubland Nord campus (Building 31, Room 02.011). His work contributes to understanding particle detection response functions in complex environmental conditions, with applications in astrophysics and atmospheric physics.