جستجوی استاد راهنمای دانشگاهی

Rush D. Robinett IIIمشاهده پروفایل

استاد پژوهش

• Nonlinear Control Systems
• Optimization
• Renewable Energy Grid Integration
• +۵ مورد دیگر

Rush D. Robinett III is a Research Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University. He holds a PhD from Texas A&M University (1987) and an MS from the University of Texas at Austin (1984). Education: PhD in Engineering, Texas A&M University, 1987 MS in Engineering, University of Texas at Austin, 1984 Research Interests: Dr. Robinett focuses on nonlinear control, optimal system design, and renewable energy integration. His work includes distributed control of microgrids with 100% renewable sources, collective robotics for complex tasks (e.g., plume tracing, underwater target detection), and aerospace system fundamentals like trajectory optimization and flutter suppression. He also explores energy storage solutions for grid stability and aeroelasticity challenges. Awards/Grants: No specific awards or grants listed in the provided text. Labs/Teams: While no specific lab names are mentioned, his research aligns with energy systems, robotics, and aerospace engineering teams at Michigan Tech.

Reza Salkhordehمشاهده پروفایل

مدرس

• Operating Systems
• Solid-State Drives
• Data Storage Systems
• +۵ مورد دیگر

Reza Salkhordeh is a Lecturer and Postdoctoral Researcher at Johannes Gutenberg University Mainz, Germany, where he leads the Efficient Computing and Storage Group. He holds a Ph.D. in Computer Engineering from Sharif University of Technology (2018) and has been affiliated with Ferdowsi University of Mashhad and Sharif University of Technology. His research focuses on operating systems, storage systems, and non-volatile memory technologies, with a particular emphasis on high-performance computing and I/O optimization. He has taught courses such as Storage Systems and Advanced Topics in Operating Systems since 2020. His academic journey includes a B.Sc. from Ferdowsi University (2011), M.Sc. and Ph.D. from Sharif University (2013, 2018). He has held roles such as Technical Lead for the High-Performance Data Storage System (HPDS) project in Tehran, Iran, and has mentored 4 M.Sc. and 6 B.Sc. students. His work spans patented technologies like Reconfigurable Cache Architectures and Load Balancers for I/O caching systems. Research interests include heterogeneous memory management, storage system design, and optimizing I/O performance in distributed environments. His recent publications address challenges in NVMM utilization, garbage collection in SSDs, and I/O tracing for HPC systems. He is actively involved in conference committees (e.g., FAST, ARCS, SC) and has reviewed for top journals like IEEE TPDS and ACM Transactions on Storage. Notable recognitions include membership in Iran’s National Elites Foundation (2012–2015) and top rankings in national exams (3rd in PhD, 35th in MSc). His contributions to storage systems have advanced enterprise-grade architectures and decentralized file systems, with a focus on practical implementations for modern computing challenges.

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.

Carlos Cardonhaمشاهده پروفایل

استادیار

• Discrete optimization
• Mixed-integer linear programming
• Combinatorial optimization
• +۶ مورد دیگر

Carlos Cardonha is an Assistant Professor in the Department of Operations and Information Management at the University of Connecticut School of Business since 2019. He holds a Ph.D. in Mathematics from Technische Universität Berlin (2011) and degrees in Computer Science from the University of São Paulo (B.Sc. 2004, M.Sc. 2006). Previously, he worked as a Research Staff Member at IBM Research – Brazil (2012–2019). His research focuses on discrete optimization, approximation algorithms, and applications of machine learning and mathematical programming to operations research problems. He teaches courses such as OPIM 5641 (Business Decision Modeling) and OPIM 3511 (Business Data Analytics II), supported by DataCamp. Education: Ph.D. in Mathematics, Technische Universität Berlin, Germany (2011) M.Sc. in Computer Science, University of São Paulo, Brazil (2006) Bachelor in Computer Science, University of São Paulo, Brazil (2004) Research Interests: His work spans analytics, optimization, and theoretical computer science, with a focus on mixed-integer linear programming, combinatorial optimization, and algorithm design. He applies these techniques to real-world problems in scheduling, resource allocation, and machine learning model optimization. Grants & Advising: No specific grants or advisees are listed in the provided materials. Labs/Teams: Not explicitly mentioned in the text.

Devinder Mahajanمشاهده پروفایل

استاد

• Low Carbon Energy
• Clean Fuel Production
• CO2 Mitigation
• +۵ مورد دیگر

Devinder Mahajan is a tenured Professor in the Department of Materials Science and Chemical Engineering at Stony Brook University . He also serves as Graduate Program Director (CME) and Director of the Institute of Gas Innovation and Technology (I-GIT) at the Advanced Energy Research and Technology Center (AERTC). His career spans over four decades, including leadership roles at Brookhaven National Laboratory and international appointments in Italy, Japan, and China. Education : Ph.D. in Applied Chemistry (1979, University of British Columbia), M.Sc. (1976, University of British Columbia), B.Sc. (1972, Panjab University) Dr. Mahajan’s research focuses on low-carbon energy technologies , including CO 2 mitigation, methane hydrate utilization, biomass-to-fuels catalysis, ultra-deep hydrodesulfurization (HDS), extremophiles-mediated hydrogen production for fuel cells, and geothermal energy-minerals extraction. His work bridges chemical engineering, materials science, and environmental policy. His scientific publications (over 318) emphasize clean energy solutions, with recent articles exploring hydrogen storage in graphene materials, pipeline infrastructure for hydrogen blending, CO 2 clathrate hydrates, and photovoltaic/membrane distillation systems. These studies reflect his commitment to decarbonization and sustainable resource utilization. Notable scientific awards include: Marie Curie Senior Researcher (2013-17) Jefferson Science Fellow (2011-12) Outstanding Mentor Award (2009, 2007, U.S. Department of Energy) Crown and Eagle Medal of Honor (2006, RANS) Promising Inventor’s Award (2005, SUNY) Dr. Mahajan actively contributes to professional leadership , serving on editorial boards for the Journal of Renewable and Sustainable Energy and The Open Petroleum Journal . He has organized international workshops on biofuels, methane hydrates, and low-carbon societies, and advised U.S. and Chinese governments on energy policy.

Anke Bekkمشاهده پروفایل

پژوهشگر

• Digitalization of Energy Sector
• Integration of Renewable Energies
• Sector Coupling
• +۳ مورد دیگر

Dr. Anke Bekk is a Researcher at the Fraunhofer Institute for Systems and Innovation Research since April 2015, working in the Department of Energy Technology and Energy Systems. She holds a PhD in Economics and Management from the Karlsruhe Institute of Technology (KIT, 2012), following studies in Industrial Engineering at Karlsruhe University and the Ecole de Commerce in Le Havre, France. Prior roles include positions at KIT's Institute for Industrial Production (2005–2011) and energy sector consultancy at MVV Energie AG (2011–2015). Her work focuses on digitalization of the energy sector, integration of renewables, sector coupling, and energy system modelling. Key Projects : DESK Schaufenster intelligente Energie C/sells Leitstudie Strom Integration erneuerbarer Energien durch Sektorkopplung (Bundesumweltamt) BDEW negative Preise – EEG-Erfahrungsbericht EUPEF review of primary energy factors Research Interests : Her research emphasizes digital transformation in energy systems, cross-sectoral energy integration (power-heat-industry-transport), and policy-driven innovation. She explores challenges in grid flexibility, transnational energy trade, and regulatory frameworks enabling decarbonization. Recent work highlights issues like bidirectional charging systems, data-driven energy platforms, and fiscal policy alignment for climate goals. Grants & Collaboration : Her projects have been funded by BMWi, Umweltbundesamt, BDEW, and EU DG Energy. She collaborates with institutions like KIT, Dena, and regional governments (e.g., Schleswig-Holstein, Baden-Württemberg). Lab/Team Affiliation : Part of Fraunhofer ISI's Energy Technology team, contributing to multi-disciplinary projects on energy systems analysis and policy evaluation.

Pia Manzمشاهده پروفایل

پژوهشگر

• Energy Systems Modelling
• District Heating
• Renewable Energy
• +۴ مورد دیگر

Pia Manz is a Researcher at the Department of Energy Technologies and Energy Systems at Fraunhofer ISI since 2017, focusing on energy system transformation pathways with an emphasis on district heating, excess heat utilization, and GIS-based modeling. She holds a PhD from Utrecht University (2024) on 'Towards climate-neutral district heating in the EU,' awarded for her dissertation exploring decarbonization strategies for heating systems. Her educational background includes a Bachelor's in Renewable Energy Technology and Systems Engineering from Nordhausen University of Applied Sciences, complemented by international experience at the University of Dundee, Scotland. During her studies, she gained hands-on research experience as a research assistant at Nordhausen's Institute for Renewable Energy Technology. Manz's research bridges technical analysis and policy design, addressing challenges such as cost-effective integration of renewable and excess heat into district heating systems, hydrogen infrastructure needs in decarbonized energy systems, and spatial analysis of heat potentials. Her work frequently employs geographic information systems (GIS) to model demand sectors and assess policy instruments. Her publication trends show a consistent focus on EU-wide decarbonization pathways, with contributions to studies like 'Achieving climate neutrality in district heating' (2025) and 'Hydrogen Infrastructure in the Future CO2-Neutral European Energy System' (2025). She collaborates extensively with institutions like Utrecht University and the German state of Baden-Württemberg on energy transition scenarios and congestion management strategies. Key contributions include developing the FORECAST model for bottom-up industry sector analysis and pioneering georeferenced databases for industrial excess heat potentials. Her interdisciplinary approach integrates technical, economic, and policy dimensions to advance climate-neutral energy systems.

Akshitha Sriramanمشاهده پروفایل

استادیار

• Computer Architecture
• Hardware-Software Co-design
• Data Center Computing
• +۴ مورد دیگر

Akshitha Sriraman is an Assistant Professor in the Department of Electrical and Computer Engineering and Computer Science at Carnegie Mellon University. She holds a PhD in Computer Science from the University of Michigan (2021) and an M.S. in Embedded Systems from the University of Pennsylvania (2015). Her research focuses on bridging computer architecture and systems software to design efficient, sustainable, and equitable data center systems, emphasizing hardware-software co-design. Her work has been deployed in real hyperscale data centers, influencing Intel’s Alder Lake CPU architectures and Infrastructure Processing Unit designs. Recipient of the NSF CAREER Award (2024), Intel Rising Star Award (2023), and multiple dissertation prizes. Advances include reducing global carbon emissions via server design and introducing equity as a first-order design concern in web systems. Advises PhD and Master’s students on topics like sustainable computing, equitable systems, and hardware optimization. Key contributions span energy-efficient data center architectures, bias-free scheduling systems, and cloud GPU power management. She leads a research group prioritizing socially responsible computing and has received grants from NSF, AWS, and industry partnerships.

Esteban Peraltaمشاهده پروفایل

مدرس

• Microeconomic Theory
• Market Design
• Matching Theory
• +۳ مورد دیگر

Esteban Peralta is a Lecturer in the Department of Economics at the University of Michigan’s College of Literature, Science, and the Arts (LSA). He also holds a postdoctoral appointment as a Research Fellow and teaches courses at the Ross School of Business. His primary roles include academic instruction and research. Esteban earned his PhD in Economics from Yale University. His research focuses on Microeconomic Theory, particularly in Matching Theory and Implementation Theory, with additional work in the Epistemology of Economics. He explores foundational questions about economic knowledge and stability in allocation processes, alongside practical applications in market design and mechanism creation. In his research, he addresses topics such as the theoretical underpinnings of stable allocations, Bayesian implementation, and the interplay between knowledge and economic outcomes. Recent work has examined lone agent behavior in matching markets, sorting mechanisms, and the provability of economic models. While no scientific awards are explicitly listed, his research has been cited in prominent outlets like the Wall Street Journal. His articles reflect a sustained focus on stability in economic systems and epistemological challenges in theory development. No advising or grant information is provided in the texts, and he does not mention lab or team affiliations.

Andrew Goodwinمشاهده پروفایل

استاد

• Materials Chemistry
• Correlated Disorder
• Structural Flexibility
• +۷ مورد دیگر

Andrew Goodwin is a Professor of Materials Chemistry and Associate Head of Department (Research) at the University of Oxford, leading a research group focused on structural flexibility and disorder in functional materials. His work bridges fundamental understanding with practical applications in energy storage and smart materials. Education: University of Sydney, University of Cambridge Research in the Goodwin Group revolves around four themes: fundamentals of disorder, advanced characterization techniques, disorder-by-design synthesis, and disorder-property relationships. They specialize in total scattering, PDF, and 3D-ΔPDF methods using X-rays, neutrons, and electrons, with applications in thermoelectrics, magnetocalorics, and adaptive sensing. Recent publications highlight his group's exploration of metal-organic frameworks (MOFs), Jahn-Teller distortions, and disorder-driven properties. Key trends include leveraging correlated disorder for functional materials, developing novel characterization algorithms, and synthesizing hybrid frameworks with unconventional magnetic/electronic states. Royal Society of Chemistry Harrison-Meldola Prize RSC Marlow Prize RSC Corday-Morgan Prize RSC Peter Day Prize Inaugural UK Blavatnik Laureate in Chemistry Andrew has secured both ERC Starting and Advanced Grants, advising roles at the Leverhulme Trust and Max-Planck-Gesellschaft. His group at the Inorganic Chemistry Laboratory collaborates globally on materials synthesis and characterization challenges.

Oleksiy Klymenkoمشاهده پروفایل

مدرس ارشد

• Model-Based Process Design
• Mathematical Modelling in Natural Sciences
• Uncertainty Quantification
• +۳ مورد دیگر

Dr. Oleksiy Klymenko is a Senior Lecturer in Chemical Process Engineering at the University of Surrey, affiliated with the School of Chemistry and Chemical Engineering and the Institute for Sustainability. He holds a DPhil and specializes in model-based process design, mathematical modeling, and uncertainty quantification. Research Interests: Model-based design and optimization of process systems Mathematical modeling in natural and life sciences Uncertainty quantification, particularly global sensitivity analysis Teaching: Module leader for three M-level modules: ENGM071 Process and Energy Integration (MSc) ENGM214 Process Modelling and Simulation (MSc/Year 4 MEng) ENGM256 Technology, Business and Research Seminars (MSc/Year 4 MEng) Contributes to a Year 2 BEng/MEng module. Research Trends: Publications focus on antimicrobial technologies, energy systems optimization, and electrochemical simulations. Recent work includes 3D modeling of microbial dynamics, sustainable energy design, and the development of tools like KISSA software for electrochemical analysis. Advising & Grants: No explicit student advisees or grant details provided in texts. Research collaborations likely underpin his work in interdisciplinary areas like food safety and energy systems. Labs/Teams: Part of the Institute for Sustainability at Surrey, collaborating on projects aligning with sustainable development goals, particularly in energy and food systems.

Panagiotis Andrianesisمشاهده پروفایل

دانشگاهی

• Electricity Distribution Networks
• Energy Economics
• Power Systems Optimization
• +۳ مورد دیگر

Panagiotis Andrianesis is a Research Associate Professor in Systems Engineering at Boston University's College of Engineering. He specializes in electricity distribution network economics and energy systems optimization. His research focuses on developing robust frameworks for future grid operations, including uncertainty management, renewable integration, and market design. He holds a PhD from the University of Thessaly, Greece, and is affiliated with the Center for Information and Systems Engineering (CISE) and the BU Institute for Sustainable Energy as a Senior Fellow. Education: PhD in Systems Engineering from the University of Thessaly, Greece. Research Interests: His work spans electricity market mechanisms, distributed energy resource coordination, and resilient energy forecasting. Key areas include optimizing power grid economics, designing pricing strategies for EV charging stations, and addressing non-convexities in energy markets. His contributions often blend optimization theory with practical grid applications. Scientific Awards: Senior Fellow at the BU Institute for Sustainable Energy, highlighting his leadership in sustainable energy research. Advising & Grants: While no specific grants or advisees are listed, his research collaborations with industry and academic partners suggest active involvement in funded projects. His work frequently addresses real-world grid challenges. Labs/Teams: Affiliated with the BU Institute for Sustainable Energy and the CISE, where he contributes to interdisciplinary energy systems research.

Dennice F. Gaymeمشاهده پروفایل

دانشیار

• Wall-Bounded Turbulent Flow
• Wind Farm Modeling and Control
• Grid Integration of Renewable Energy
• +۳ مورد دیگر

Roles and Affiliations: Dennice F. Gayme is an Associate Professor in the Department of Mechanical Engineering at Johns Hopkins University's Whiting School of Engineering. She holds secondary appointments in Electrical and Computer Engineering and Environmental Health Engineering. She serves as a member of the Ralph O’Connor Sustainable Energy Institute (ROSEI) leadership council and is the faculty advisor for the Society of Women Engineers (SWE) and Hopkins Students Wind Energy Team (HSWET). Education: Bachelor’s in Mechanical Engineering and Society, McMaster University (1997) MS in Mechanical Engineering, UC Berkeley (1998) PhD in Control and Dynamical Systems, Caltech (2010) Postdoctoral Fellow in Computing and Mathematical Sciences, Caltech (2010–2012) Research Interests: Her work focuses on modeling, analysis, and control of large-scale networked systems in applications such as wall-bounded turbulent flows, wind farms, and power grids. Key areas include: Control systems for renewable energy integration Wake dynamics and wind farm optimization Fluid-structure interactions and turbulence Networked dynamical systems and distributed control Her lab employs computational methods from fluid mechanics, applied mathematics, and optimization. Recent Research Trends: Articles emphasize interdisciplinary approaches combining turbulence modeling, wind energy systems, and control theory. Key themes include wake steering optimization, offshore wind farm dynamics, and turbulence control using riblet surfaces. Recent work also explores climate resilience in energy systems and market mechanisms for renewable integration. Awards and Recognition: NSF CAREER Award (2017) ONR Young Investigator Program Award (2017) JHU Discovery Awards (2019, 2022, 2024) IEEE Senior Member and SIAM/APS/ASME Fellow Advising and Grants: Advised over 10 PhD students, including Carl Shapiro, Ismail Hameduddin, and Genevieve Starke. Secured grants from NSF, ONR, and JHU. Her team developed the JHTDB-wind database for wind farm research. Labs and Collaborations: Leads the Networked and Spatially Distributed Systems Research Group. Collaborates with institutions like Portland State University on offshore wind potential. Serves on editorial boards for Physical Review Fluids and Annual Review of Fluid Mechanics .

• Energy Efficiency
• Demand Side Management
• Industrial Energy Systems
• +۳ مورد دیگر

Dominic O'Sullivan is a Senior Lecturer in the Department of Civil & Environmental Engineering at University College Cork (UCC), appointed since 2008. He leads the Intelligent Efficiency Research Group (IERG), focusing on energy efficiency technologies and IT-driven solutions for industrial and building systems. His research integrates smart analytics, renewable energy systems, and HVAC optimization to advance sustainable engineering practices. Education includes a BEng in Civil Engineering (1998), MEngSc in Building Appraisal (2000), and PhD in Building Performance (2005), all from UCC. He has held roles in energy consultancy before academia. Research interests span energy efficiency retrofitting, demand-side management, and Industry 4.0 applications. Notable projects include the Carbon Neutral Building Project, I2E2 initiatives, and EU-funded projects like BIM4EEB and DENIM. Over €4.5M in research funding secured, with 50+ journal publications and top citations in Intelligent Efficiency. Awards include UCC ICT Invention of the Year (2012) and SEAI Energy Team of the Year (2022). He advises on national energy standards and collaborates with industries like Intel and DePuy. Academic roles include roles in UCC committees, editorial board memberships, and supervision of 15+ PhD/MSc students. Teaching focuses on energy systems, building services, and data analytics for engineers. Current projects emphasize carbon neutrality, proactive maintenance frameworks, and smart manufacturing solutions.

• Cryptography
• Blockchain Technology
• Network Security
• +۷ مورد دیگر

Danilo Gligoroski is a Professor at the Department of Information Security and Communication Technology at NTNU. His research focuses on cryptography, blockchain technology, network security, and 5G systems. He has collaborated extensively on projects involving decentralized ledgers, cybersecurity in healthcare, and hardware implementations of cryptographic algorithms. Key contributions include work on blockchain-based trust systems, secure network slicing, and privacy-preserving protocols. Affiliations: NTNU, Department of Information Security and Communication Technology Primary Research Areas: Cryptography, Blockchain, 5G Networks, Cybersecurity Notable Projects: GRAND Parallel Decoding Framework, GDPR-compliant healthcare blockchain Research interests span cryptographic protocol design, distributed ledger technologies, and their applications in healthcare, telecommunications, and IoT. His work often addresses scalability, privacy, and compliance challenges in decentralized systems. Publications highlight trends in blockchain consensus mechanisms, cryptographic hardware optimization, and network security for next-gen communication systems. Collaborations with industry and academic partners emphasize practical implementations and real-world use cases. Advising and grants include supervision of interdisciplinary projects and contributions to EU-funded cybersecurity initiatives. Active in open-source software development for network slicing and blockchain frameworks.