جستجوی استاد راهنمای دانشگاهی

Lukas Gnamمشاهده پروفایل

مدرس

• Energy Transition
• Renewable Energy Systems
• Smart Grids
• +۴ مورد دیگر

Lukas Gnam holds the position of Lecturer and Researcher at the University of Applied Sciences Burgenland's Energie-Umweltmanagement department. His work focuses on energy transition challenges, particularly in renewable energy integration, district heating optimization, and smart energy systems. He has co-authored over 49 publications, emphasizing interdisciplinary approaches to energy system modeling, user-centric energy management, and decarbonization strategies. Key projects include studies on wind power utilization in district heating networks, socially-accepted home energy management systems, and P2P energy trading models. His research combines technical innovation with socio-economic analysis, addressing both infrastructure upgrades and end-user behavior. Collaborations involve institutions like 4ward Energy Research GmbH and TU Wien, focusing on projects such as BEYOND, Empower Citizens, and Hybrid DH DEMO. Gnam's work often employs mixed-integer linear programming and co-simulation tools (e.g., MATLAB/IDA-ICE) to evaluate energy system performance under diverse scenarios. Publications highlight advancements in thermal storage pooling, fossil fuel reduction via PV integration, and long-term heating demand forecasting considering demographic shifts. His projects aim to bridge gaps between technical feasibility and societal acceptance in achieving climate-neutral energy systems.

Nawfal Al Hashimyمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• Internet of Things (IoT)
• Network Security
• +۳ مورد دیگر

Dr. Nawfal Al Hashimy is a Senior Lecturer in Computer Science at the University of Southampton, specializing in cybersecurity. He holds a PhD in Cybersecurity and has established the university's cybersecurity research center, fostering academia-industry collaboration. His research focuses on Industry 4.0 security, wearable/IoT device security, and intrusion detection systems. He advises governments/corporations on critical infrastructure security and promotes cybersecurity education through workshops and mentorship programs. Education: PhD in Cybersecurity (University of Southampton), BSc Computer Science (top honors). Research interests include network security protocols, anomaly detection, and blockchain applications in fraud prevention. His recent work emphasizes IoT security, authorship verification via NLP, and energy-efficient IoT routing protocols. He has supervised multiple PhD students in cybersecurity domains. Awards include the 2020 Dean’s Award, 2016 Student Union Best Pastoral Support, and ICURe Programme (2017). He advocates for diversity in tech through mentorship initiatives.

Steven Lowمشاهده پروفایل

استاد

• Power Systems
• Cyber-Physical Systems
• Network Architecture
• +۳ مورد دیگر

Steven Low is the Frank J. Gilloon Professor of Computing and Mathematical Sciences and Electrical Engineering at the California Institute of Technology. He holds a B.S. from Cornell University (1987), M.S. and Ph.D. from the University of California (1989, 1992). He has been at Caltech since 2000, progressing from Associate Professor to full Professor (2006), and Gilloon Professor (2018). His research focuses on power systems, cyber-physical systems, network architecture, and energy-efficient networking. Notable contributions include foundational work on smart grid optimization, decentralized control, and reinforcement learning applications in power systems. He has received the IEEE Koji Kobayashi Computers and Communications Award and was named an ACM Fellow. Recent publications emphasize grid resilience, stability certification for converter control, and machine learning approaches to power flow problems. He teaches courses such as Power System Analysis and Control and Optimization of Networks . His NetLab research group explores advanced network and energy systems, with patents and industry collaborations (e.g., PowerFlex).

Abbas El Gamalمشاهده پروفایل

استاد

• Network Information Theory
• Digital Imaging Devices
• Field-Programmable Gate Arrays (FPGAs)
• +۳ مورد دیگر

Abbas El Gamal is the Hitachi America Professor in Stanford University's School of Engineering and a Senior Fellow at the Precourt Institute for Energy. He holds a PhD in Electrical Engineering from Stanford (1978) and has been a faculty member since 1981. His research focuses on network information theory, digital imaging, and FPGAs. Key roles include Department Chair (2012-2017) and Director of the Information Systems Laboratory (2003-2012). Awards include the 2016 Hamming Medal and 2012 Shannon Award. He co-founded companies like Pixim and Inscopix, commercializing imaging technologies. Education: B.Sc. Honors, Cairo University (1972) M.S. Statistics, Stanford (1977) Ph.D. Electrical Engineering, Stanford (1978) Research Interests: El Gamal’s work spans network information theory (e.g., relay channels, interference), CMOS imaging sensors, and smart grid technologies. Notable contributions include the textbook *Network Information Theory* (2011), and patents in imaging and communication systems. Professional Contributions: Member, U.S. National Academy of Engineering President, IEEE Information Theory Society (2014) Recipient of over 30 patents and 230+ publications Industry Roles: Founded LSI Logic Research Lab, Actel, and Silicon Architects. Served as VP of Synopsys and advisor to biotech startups.

Jarrett Blausteinمشاهده پروفایل

دانشیار

• Global Governance
• Crisis Management
• Policing Networks
• +۴ مورد دیگر

Jarrett Blaustein is an Associate Professor and Director of Education in the School of Regulation and Global Governance (RegNet) at the Australian National University (ANU), within the College of Asia and the Pacific. His research focuses on governance mechanisms during crises, particularly how policing networks adapt to climate-related risks and global security challenges. He has held academic positions at Aberystwyth University (2013–2015) and Monash University (2015–2022) before joining ANU in 2022. Education: PhD in Law (Criminology) from the University of Edinburgh (2013), MSc in Criminology & Criminal Justice (2009), and MSc in International Relations (2008), both from the University of St Andrews. Research Interests: Global crime governance and its historical dynamics Climate change impacts on security and policing strategies Nodal governance frameworks and transnational security networks Sustainable Development Goals integration in criminal justice systems Notable Works: Authored/co-authored books including Unraveling the Crime Development Nexus (2022), Speaking Truths to Power: Policy Ethnography and Police Reform in Bosnia and Herzegovina (2015), and Place, Race and Politics: The Anatomy of a Law and Order Crisis (2021, awarded the Christine M. Alder Book Award in 2023). Awards: Recipient of the 2023 Christine M. Alder Book Award for Place, Race and Politics , recognizing contributions to criminological scholarship. Professional Roles: Associate Editor of Policing & Society , editorial board member of Journal of Criminology and International Journal of Crime, Justice and Social Democracy , and Research Affiliate at the ESRC Vulnerability & Policing Research Centre (UK).

Sachin Kattiمشاهده پروفایل

استاد مدعو

• Wireless Communication
• Machine Learning
• Sensor Networks
• +۵ مورد دیگر

Sachin Katti is an Adjunct Professor in the Department of Electrical Engineering at Stanford University. His research focuses on wireless communication systems, machine learning integration in sensors and networks, and edge computing. He explores full-duplex radios, decentralized cellular networks, and innovative applications of RF and IoT technologies. Katti has contributed to projects like Backscatter communication, PIM video coding, and ML-EXray for edge model visibility. His work bridges theoretical advancements with practical implementations in areas like network optimization, sensor transparency, and autonomous systems. Education: Not explicitly stated in the provided text. Research Interests: Sachin Katti’s work spans wireless communication protocols, machine learning for edge devices, and decentralized network architectures. He investigates how to improve efficiency, reliability, and security in systems ranging from full-duplex radios to IoT-enabled sensor networks. His projects often address real-world challenges like energy efficiency, trust-free connectivity, and intelligent data processing. Recent efforts include trust-free cellular networks (d-Cellular), ML-driven video compression (PIM), and federated learning for autonomous driving. Articles Trends: His recent publications emphasize blending machine learning with communication systems (e.g., ML sensors, co-design for cloud robotics) and advancing RF technologies (backscatter networks, ISM band utilization). There’s also a focus on edge computing challenges, such as visibility into deployed ML models and network offloading policies for robotics. Awards: No scientific awards explicitly mentioned in the provided text. Advising & Grants: No student advisees or grant details explicitly listed in the text. His contributions are primarily through research publications and systems development. Labs/Teams: Involved in collaborative projects like Backscatter Communication, Full Duplex Radios, and SoftRAN (Software-Defined Radio Access Networks). His work often leverages Stanford’s infrastructure for testing dense WiFi networks (e.g., BeHop testbed) and RF localization systems (SpotFi).

• stochastic geometry
• distributed machine learning
• wireless networks
• +۲ مورد دیگر

Zheng Chen is an Associate Professor at the Department of Electrical Engineering, Linköping University, Sweden, where she has been working since 2017. Her research focuses on the intersection of wireless communications and distributed machine learning. Education: B.Sc. in Optoelectronics from Huazhong University of Science and Technology (HUST), China (2011) M.Sc. from CentraleSupélec, Université Paris-Saclay, France (2013) Ph.D. from CentraleSupélec, Université Paris-Saclay, France (2016) Her research spans several key areas: stochastic geometry for wireless network modeling, distributed machine learning over wireless networks, and information dissemination in complex networks. She aims to design efficient and reliable communication systems for decentralized intelligence. Her recent publications (2025) focus on energy-efficient federated learning, communication-efficient decentralized learning, and novel wireless access techniques. These works integrate optimization theory and information theory to address challenges in next-generation wireless networks. Awards: 2020 IEEE Communications Society Young Author Best Paper Award She supervises seven PhD students (three as main supervisor and four as co-supervisor). Her research is funded by major grants including a Swedish Research Council (VR) starting grant (2023-2027), a Wallenberg AI, Autonomous Systems and Software Program (WASP) project (2023-2028), a Zenith project grant (since 2021), and a Knut and Alice Wallenberg grant for "Turning the air into an AI computer". Within the Division of Communication Systems, she leads the "Wireless Communications for Distributed Intelligence" project, which establishes a framework for joint design of information processing and wireless resource allocation in decentralized machine learning systems.

Pulkit Groverمشاهده پروفایل

استاد

• Information Theory
• Energy-Efficient Communication and Computing
• Neural Sensing
• +۷ مورد دیگر

Pulkit Grover is a Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, with additional appointments in the Neuroscience Institute and Biomedical Engineering (by courtesy), and affiliation with the Center for Neural Basis of Cognition. His research spans multiple interdisciplinary domains including information theory, energy-efficient communication and computing, neural sensing, and noninvasive brain stimulation techniques. Dr. Grover received his Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley in 2010, following M.Tech and B.Tech degrees in Electrical Engineering from the Indian Institute of Technology, Kanpur (2005 and 2003). He completed a postdoctoral fellowship at Stanford University (2011-2012) before joining CMU as faculty. His research focuses on developing a science of information for understanding and designing energy-efficient and stable decentralized systems, ranging from low-power communication/computation systems to large control, computational, and biological systems. Key research directions include information theory applied to neural systems, energy-efficient communication and computing, noninvasive neural sensing and stimulation, and coded computation for resilient computing with unreliable elements. His work bridges theoretical foundations with practical implementations, often collaborating with neuroscientists, clinicians, and circuit designers. Analysis of his recent publications reveals significant contributions in noninvasive brain stimulation techniques (including the development of 'DeepFocus'), high-resolution EEG systems, bias reduction in neural sensing for diverse populations, and theoretical frameworks for information flow in computational systems. His work demonstrates strong integration of information theory with neuroscience and engineering applications. NSF CAREER Award (2014) Best paper award at the International Symposium on Integrated Circuits (ISIC) Best student paper award at IEEE CDC 2010 2012 Leonard G. Abraham best paper award from IEEE Communications Society 2011 Eli Jury Award from UC Berkeley AIMBE College of Fellows induction IEEE Information Theory Society Distinguished Lecturer (2022-2023) Dr. Grover has advised numerous PhD students who have gone on to faculty positions at institutions including Dartmouth College, UCSB, University of Maryland, and University of Pittsburgh. His research has been supported by significant grants from NSF (including CAREER and EARS awards), SRC SONIC Center, NIH, DARPA N3 program, Google Faculty Research Award, and CMU internal funding mechanisms. He leads the 'For All Lab' which focuses on engineering principles of devices and systems that are accessible by all and unbiased toward different hair types and skin colors.

• Cybersecurity
• Artificial Intelligence
• Computer and Communication Networks
• +۷ مورد دیگر

Prof. Dr. Abdül Halim Zaim is a faculty member in the Department of Computer Engineering at Istanbul Technical University, Faculty of Computer and Informatics. He holds a Ph.D. from North Carolina State University and has been actively contributing to academia and research in computer engineering and cybersecurity. Education: Ph.D., North Carolina State University M.Sc., Boğaziçi University, Computer Engineering B.Sc., Yıldız Technical University, Computer Engineering Research Interests: His research spans Cybersecurity, Artificial Intelligence, Computer and Communication Networks, with a strong focus on IoT security, blockchain applications, energy-efficient routing in wireless networks, and edge/fog computing. He has published extensively on topics such as intrusion detection, malware analysis, and zero-trust architectures. Publication Trends: Recent publications (2021–2024) emphasize blockchain in financial systems, IoT malware detection, energy optimization in manufacturing and sensor networks, and AI-driven cybersecurity solutions. His work frequently appears in IEEE Access and other high-impact venues, reflecting a trend toward applied, interdisciplinary research in digital transformation and secure systems. Scientific Awards: University First, Yıldız Technical University, 1993 Department First, Yıldız Technical University, 1993 Faculty First, Yıldız Technical University, 1993 Advising and Grants: He has supervised numerous master’s and doctoral students, with recent theses focusing on ransomware detection, blockchain platforms, and IoT security. He leads active research projects funded by the EU and TÜBİTAK, including initiatives on digital transformation for engineering students and malicious software detection in edge/fog environments. Labs and Teams: While specific lab names are not mentioned, his leadership in projects and editorial roles (e.g., Turkish Journal of Electrical Engineering and Computer Sciences) indicates active involvement in research teams and academic communities focused on cybersecurity and network technologies.

• Power Systems Planning
• Transmission Expansion Planning
• Renewable Energy Integration
• +۵ مورد دیگر

Dr. Andrés Ramos Galán is a Full Professor at the Industrial Organization Department and Instituto de Investigación Tecnológica (IIT) of Comillas Pontifical University since 1984. His work spans power systems planning , renewable integration , and energy market modeling with a focus on stochastic optimization and Benders decomposition techniques. He has led 134 projects including DIAMOND (Horizon Europe) and ATMOSPHERE (green hydrogen modeling) and served as IIT Director (2020-2023) and MBA Director (2015-2020). His research bridges complex network analysis for grid topology and offshore wind farm layout optimization , with 21 supervised Ph.D. theses covering topics from hydrothermal scheduling to virtual power plants . Recent projects like OPEN_ENTRANCE and DEFINER address energy transition challenges. Key publications (2022-2025) demonstrate expertise in transmission expansion , storage valuation , and flexibility assessment , with a focus on Spanish and European systems. His 2025 work on CSR and grid resilience and 2023 Renewable & Sustainable Energy Reviews paper on flexibility visualization tools highlight practical applications. Students and collaborators include leading researchers in hydro modeling (S. Lumbreras), unit commitment (G. Morales-España), and network analysis (R. Espejo). Current projects involve hydrogen integration and renewable-dominated system optimization for 2030-2050 horizons.

• Administrative Law
• Public Law
• EU Law
• +۱۲ مورد دیگر

Carlo Colombo is an Assistant Professor of Administrative Law at the Department of Public Law, Faculty of Law, Maastricht University, and a Marie Skłodowska-Curie Individual Fellow at the Centre for European Studies and Comparative Politics (CEE) at Sciences Po Paris. His work bridges law, public policy, and urban governance, with a focus on EU law's impact on cities and sustainability transitions. Key affiliations: Assistant Professor, Department of Public Law, Maastricht University Marie Skłodowska-Curie Individual Fellow, Centre for European Studies and Comparative Politics, Sciences Po Member, Maastricht Centre for European Law Member, Institute for Transnational Legal Research Member, Globalization and Law Network Member, Transformative Effects of Globalisation in Law research project Carlo holds a PhD from the University of Pavia and has held academic positions at Tilburg University, University of Bristol, University of Edinburgh, KU Leuven, and Sciences Po. He is a qualified lawyer admitted to the Milan Bar and was a Blue Book trainee at the European Commission (DG Competition). His research centers on two main areas: (1) the role of law in urban governance and ecological transitions, particularly how legal frameworks shape cities and respond to climate challenges; and (2) EU state aid and competition law, especially institutional design and multi-level enforcement. His work integrates legal analysis with insights from geography, sociology, and policy studies. His recent publications explore topics such as the urban dimension of EU law, climate adaptation in cities, smart urban regulation, and the legal challenges of sustainable development. The articles reflect a strong interdisciplinary orientation, combining doctrinal legal analysis with governance theory and urban studies, and are published in high-impact journals including European Law Journal , Maastricht Journal of European and Comparative Law , and European Public Law . Scientific Awards: Marie Skłodowska-Curie Individual Fellowship (2023–2025) Carlo teaches a bachelor course on Comparative Administrative Law at Maastricht University and coordinates a master’s course on Law and Cities in Ecological Transition at Sciences Po. He has been invited as an expert by the European Parliament and the Dutch Province of North-Brabant, reflecting the policy relevance of his research. His current project, GUD EU Law – Governing the Urban Dimension of EU Law , aims to enhance the integration of urban perspectives into EU sustainability policies. He is actively engaged in interdisciplinary research networks and collaborates across law, urban studies, and environmental policy. His work emphasizes transformative legal approaches to global challenges, particularly in the context of multi-level governance and urban resilience.

• Stochastic Control
• Probabilistic Modeling
• Decentralized Control Systems
• +۷ مورد دیگر

Dr. Yuyang Zhou is a Lecturer in the School of Computing, Engineering and the Built Environment at Edinburgh Napier University, where he contributes to the Centre for Artificial Intelligence and Robotics. His research focuses on advanced control systems, probabilistic modeling, and intelligent robotics, with active involvement in EU-funded projects such as iMARS (2024–2028). Institution: Edinburgh Napier University School: School of Computing Engineering and the Built Environment Research Centre: Centre for Artificial Intelligence and Robotics Role: Lecturer Email: Y.Zhou@napier.ac.uk Dr. Zhou's research centers on stochastic and nonlinear control systems, with a strong emphasis on decentralized and probabilistic frameworks. His work integrates machine learning, entropy-based monitoring, and message-passing algorithms to enhance system performance under uncertainty. Key domains include smart grids, industrial prediction systems, and robotics. The recent publications highlight a consistent trend in developing innovative control strategies for complex stochastic systems. These include event-triggered relearning, variance and entropy assignment, and fully probabilistic design methods. The research spans applications in industrial automation, energy systems, and future grid technologies, demonstrating a strong interdisciplinary approach combining AI, control theory, and IoT. Dr. Zhou supervises postgraduate research students, including Anna Chernikova (Hybrid and Switched Control Systems) and Fatima Mumtaz (AI-driven smart banking). He collaborates extensively with Prof. Randa Herzallah and is a co-investigator on the European Commission-funded iMARS project, which aims to develop intelligent multi-agent robotic systems for first responders using AI, IoT, and 5G technologies.

ANGEL MANUEL GONZALEZ RUEDAمشاهده پروفایل

استادیار

• Optimization
• Operations Research
• Mathematical Modeling
• +۳ مورد دیگر

Angel Manuel González Rueda is an Assistant Professor at the University of Santiago de Compostela (USC), affiliated with the Department of Statistics, Mathematical Analysis and Optimization, part of the Higher Technical School of Engineering. He is a member of the MODESTYA research group (Optimization, decision, statistical models and applications) and the Galician Mathematical Research and Technology Center (CITMAga). His research focuses on optimization algorithms, energy networks, and decision models, with notable work on gas transmission systems, home care scheduling, and polynomial optimization tools like RAPOSa. He holds a Doctorate from USC (2017), completing his thesis on Gas transmission networks optimization algorithms and cost allocation methodologies , supervised by Dr. Julio González Díaz. His expertise spans mathematical modeling, computational optimization, and game theory applications in energy and logistics systems. Key research trends in his articles include: (1) Development of hybrid optimization algorithms for differential equations and network problems, (2) Multiobjective scheduling in healthcare and retail logistics, and (3) Fair cost allocation mechanisms in energy and gas networks using cooperative game theory. His RAPOSa software has become a notable open-source tool for polynomial optimization. Rueda has contributed to over 15 peer-reviewed articles since 2014, addressing topics ranging from wildfire suppression modeling to decentralized energy markets. Though no formal awards are listed, his work demonstrates significant innovation in applied mathematical optimization. He has advised no doctoral students listed here but collaborates extensively with industry partners on network optimization challenges. His affiliations include the Interuniversity Research Center CITMAga, emphasizing applied mathematics in technology, and the MODESTYA group, which bridges theoretical optimization with real-world applications in engineering and economics.

Pierre Hollmullerمشاهده پروفایل

مدرس

• Energy Systems
• Renewable Energy
• Heat Pump Technology
• +۳ مورد دیگر

Pierre Hollmuller is a Lecturer and Scientific Assistant at the University of Geneva, leading the Energy Systems Group since 2017. His work focuses on energy systems analysis, renewable energy integration, and building energy efficiency. He manages a research partnership with Geneva Industrial Services (SIG) and has coordinated over 20 projects, yielding >100 publications. Education: PhD in Science (University of Geneva) and MAS in Energy (EPFL) Research interests include heat pumps, district heating, energy policy, and climate change mitigation. His work emphasizes real-world deployment and participatory approaches in energy projects. Key articles address GHG emissions quantification, heat pump efficiency in buildings, and renewable energy system design. He has advised numerous projects on energy transition and urban sustainability without listed awards. Lab affiliations include the Energy Systems Group at University of Geneva, collaborating with SIG and international partners. His work bridges academic research with practical implementation in energy infrastructure.

• Constitutional Law
• Public Law
• Comparative Constitutional Law
• +۱۲ مورد دیگر

Gavina Lavagna is an Associate Professor in the Department of Political Science at Sapienza University of Rome, where she teaches Institutions of Public Law. She is actively involved in research, academic service, and program coordination, particularly as the Coordinator of the Master's program in Fiscal Federalism, Public Expenditure Control, and Subsidiarity. Her educational background includes a Law degree (110/110 cum laude) from Sapienza University of Rome in 1995 and a PhD in State Theory and Comparative Political Institutions from the same institution in 2000. Her research interests span constitutional law, public law, European Union law, federalism, fiscal federalism, regional autonomy, legislative processes, constitutional interpretation, emergency powers, health law, and digital regulation. Her work often examines the interplay between constitutional principles and contemporary governance challenges, particularly in multi-level systems and during crises like the COVID-19 pandemic. Her recent publications (2015–2025) demonstrate a consistent focus on constitutional responses to emergencies, the evolution of regional powers in Italy, digital rights, and Irish constitutional developments, especially referendums on social issues. The articles reflect a deep engagement with constitutional jurisprudence, European integration, and the balance between individual rights and collective interests. She is a member of the editorial boards of several legal journals, including Nomos , Federalismi.it , and Quaderni di Nomos , where she leads the section on foreign constitutional chronicles. She has participated in multiple funded research projects at the departmental, university, and national (PRIN) levels, particularly on fiscal federalism, constitutional reform, and health governance. She has also served on various academic committees, including doctoral program panels, master’s thesis juries, and national hiring and research grant evaluation boards. She continues to supervise teaching activities and coordinate seminars on budget constraints and social rights.