جست‌وجوی استاد و پژوهشگر

• Energy Demand Flexibility
• Smart Energy Systems
• Distributed Energy Resources (DERs)
• +۹ مورد دیگر

David Shipworth is Professor of Energy and the Built Environment at University College London (UCL), affiliated with both the UCL Energy Institute and the Bartlett School Env, Energy & Resources. He chairs the International Energy Agency’s User-Centred Energy Systems (Users TCP) programme and represents the UK government in this role. Current appointment: 1 Oct 2017 – 1 Jan 2100 at UCL Previous academic roles: Reader (2009–2017) and Lecturer (1999–2008) at UCL and University of Reading Research focuses on: Energy demand flexibility and local energy market models Consumer behavior in distributed energy systems (DERs) Peer-to-peer energy trading and transactive energy systems Design and evaluation of field trials for DER acceptability Thermal comfort and health implications of heating behavior Scientific contributions include: Editorial Board Member, Nature: Scientific Data EPSRC Peer Review College member Key participant in IEA initiatives and UK government advisory groups Teaching involves postgraduate supervision and teaching on UCL’s Smart Energy and the Built Environment MSc programme, with a focus on: User roles in energy transitions Collective-good outcomes in energy systems Business value propositions for smart energy solutions Professional activities span advisory roles for UK and European energy projects, conference speaking engagements, and consultancy work for organizations like UK Power Networks, Energy Systems Catapult, and the International Energy Agency.

Ashish Khistiمشاهده پروفایل

دانشیار

• Communication Systems
• Information Theoretic Security
• Machine Learning
• +۴ مورد دیگر

Ashish Khisti is an Associate Professor at the University of Toronto's Department of Electrical and Computer Engineering (ECE), where he directs the Signals, Multimedia and Algorithms Laboratory (SMA Lab). He holds the Canada Research Chair (Tier II) and maintains affiliations with the Vector Institute for Artificial Intelligence. His research bridges communication systems, information-theoretic security, and machine learning, with a focus on real-time streaming and privacy-preserving algorithms. Research Trends: Recent publications emphasize streaming codes for latency-sensitive networks , machine learning-driven compression , and privacy mechanisms in federated learning . Scientific Recognition: Canada Research Chair (Tier II), 2012 and 2017 renewal Cisco Research Center Award, 2017 Ontario Early Researcher Award, 2012 Best Paper at NeurIPS 2021 Deep Generative Models Workshop Academic Contributions: Supervised PhD students Ahmed Badr, Farrokh Etezadi, and Si-Hyeon Lee. Served as Associate Editor for IEEE Transactions on Communications (2012-2015) and IEEE Transactions on Information Theory (2015-2018). Labs & Collaborations: Leads the Signals, Multimedia and Algorithms Laboratory, collaborating with institutions like KAUST, Texas A&M University (Qatar), and the Vector Institute. Organized workshops at BIRS and IEEE conferences.

Simone Silvestriمشاهده پروفایل

استاد

• Cyber-Physical-Human Systems
• Internet of Things
• Smart Grid Security
• +۵ مورد دیگر

Simone Silvestri is a Professor and Director of Graduate Studies in the Department of Computer Science at the University of Kentucky, within the Stanley and Karen Pigman College of Engineering. He has held this position since 2025, having previously served as Associate Professor from 2021-2025 and Assistant Professor from 2017-2021. Prior to his appointment at UK, he was an Assistant Professor at Missouri University of Science and Technology (2014-2017) and held postdoctoral positions at Pennsylvania State University (2012-2014) and Sapienza University of Rome (2010-2012). Dr. Silvestri earned his Ph.D. in Computer Science from Sapienza University of Rome, Italy in 2010, following a Laurea cum Laude in Computer Science from the same institution in 2006. His research focuses on Cyber-Physical-Human Systems, Internet of Things, Smart Grid Security, Terrestrial and Aerial Mobile Networks, and Network Management. His work bridges computer science with practical applications in agriculture, energy management, and disaster response scenarios. His research program has been supported by over $5 million in federal funding, including an NSF CAREER award in 2020. He has published more than 100 papers in top-tier journals and conferences including IEEE Transactions on Mobile Computing, IEEE Transactions on Smart Grids, and ACM Transactions on Sensor Networks. His recent work shows a strong trend toward applying cyber-physical systems to agricultural technology, energy management, and precision livestock farming, with increasing integration of machine learning techniques. NSF CAREER Award (2020) Best Demo Runner-Up Paper - IEEE PerCom (2025) Excellent Editor Award - IEEE Transactions on Network Science and Engineering (2024) Best Editor Award - Elsevier Pervasive and Mobile Computing (2024) Best paper award - IEEE International Conference on Network Protocols (2009) Dr. Silvestri has advised numerous graduate students to completion, including Ph.D. candidates Xu Tao and Ashtuoth Timilsina, and Master's students Josh Guess and Seifalla Moustafa. His research group has secured significant funding from NSF, NIFA, NATO, and other agencies for projects totaling over $6 million. He also created the CSMentor resource, providing guidance for computer science graduate students on academic writing, PhD success, and career development. Dr. Silvestri actively collaborates with researchers across multiple disciplines, particularly in agricultural technology and precision farming applications.

Mohamed Ibnkahlaمشاهده پروفایل

استاد

• Wireless Sensor Networks
• Internet of Things (IoT)
• Cognitive Radio Networks
• +۵ مورد دیگر

Dr. Mohamed Ibnkahla is a Full Professor and NSERC/Cisco Senior Industrial Research Chair in Sensor Networks for the Internet of Things (IoT) at Carleton University's Department of Systems and Computer Engineering. He holds a Ph.D. and HDR from the National Polytechnic Institute of Toulouse (INP), France. His research focuses on IoT, wireless sensor networks, cognitive radio systems, and adaptive signal processing, with applications in smart cities, healthcare, energy, and transportation. He has led numerous industry and government-funded projects, including the Carleton-Cisco IoT Testbed. Education: Ph.D. and HDR (INP Toulouse, 1996/1998), Engineering and MSc in Electronics/Signal Processing (INP Toulouse, 1992). He previously served at Queen’s University (2000–2015) and INP Toulouse (1996–1999). Research Interests: IoT security, energy harvesting, cognitive radio networks, smart grid communication, and machine learning for wireless systems. His work spans theoretical contributions (e.g., 5 books on signal processing and IoT) and applied innovations (e.g., sensor network architectures for environmental monitoring). He has published over 150 peer-reviewed papers, 4 books, and supervised ~40 graduate students. Awards include the INP Leopold Escande Medal (1997) and Ontario’s Prime Minister’s Research Excellence Award (2000). His lab develops solutions for IoT trust management, edge computing, and decentralized access control using blockchain. Key Projects: Cisco-funded IoT sensor networks for smart cities, NSF-funded cognitive radio projects, and collaborations on eHealth systems. His research addresses IoT security challenges in healthcare, transportation, and energy grids, emphasizing scalable, energy-efficient solutions.

Diego F. Aranhaمشاهده پروفایل

دانشیار

• Cryptography
• Cybersecurity
• Homomorphic Encryption
• +۷ مورد دیگر

Diego F. Aranha is an Associate Professor in the Department of Computer Science at Aarhus University . His research focuses on cryptographic systems, cybersecurity, and privacy-preserving technologies with applications in voting systems, post-quantum cryptography, and secure computation. He has contributed extensively to homomorphic encryption, secure multiparty computation (MPC), and cryptanalysis of cryptographic implementations. Key projects include: MPCC (2025-2028) : Multi-Party Computation in the Confidential Cloud SCI (2024-2027) : Secure Computation Infrastructures for the Retail Industry RENAIS (2021-2026) : Residue Number Systems for Cryptography His work emphasizes practical efficiency and formal verification of cryptographic protocols. Recent publications highlight advancements in lattice-based cryptography, secure voting schemes, and mitigating side-channel vulnerabilities in post-quantum algorithms. He actively collaborates on open-source cryptographic libraries and standards, with a focus on bridging theoretical security and real-world implementation challenges.

Jiazhen Zhouمشاهده پروفایل

دانشیار

• Internet of Things Security
• Internet of Things Privacy
• Cryptography
• +۲ مورد دیگر

Jiazhen Zhou is an Associate Professor and Chair of the Department of Computer Science at the University of Wisconsin-Whitewater. His research focuses on Internet of Things security and privacy, cryptography, machine learning-based attack and defense mechanisms, and emergency communications. He teaches courses in cybersecurity and computer networking including CYBER 101, COMPSCI 354, and COMPSCI 455. His educational background includes: Ph.D. in Computer Science from the University of Missouri–Kansas City, USA M.S. in Intelligent Control Engineering from Chinese Academy of Sciences–Shenyang Institute of Automation, P. R. China B.S. in Mathematics from Shandong University, P. R. China Dr. Zhou's research centers on IoT security vulnerabilities in medical devices, cryptographic solutions for privacy protection, and machine learning applications for attack detection. His emergency communications work develops caching strategies for stressed networks during disasters, with recent emphasis on protecting older adults using smart medical devices. The Wireless Systems Lab he founded in 2012 serves as the primary research hub for these investigations. His publication record spans 14 years with 11 significant works, showing an evolution from fundamental networking research (2009-2013) toward applied IoT security (2016-2023). Recent publications demonstrate increasing focus on healthcare applications and privacy concerns for vulnerable populations, particularly in his 2023 HIMSS conference paper on medical devices for older adults. Scientific recognition includes: Grant writing fellowship ($5,000) in 2013 Summer research fellowship advisor awards ($2,500 each) in 2016, 2018, and 2019 Dr. Zhou has supervised over 30 undergraduate researchers and three graduate students through the Wireless Systems Lab, producing journal publications, conference posters, and educational demonstrations. His secured funding includes a $105,757 Tommy Thompson Center grant for IoT privacy in older adults (2021-2022), a $50,000 UW System Regent Scholar grant for wireless vehicle communications (2021-2022), and a $2 million U.S. Department of Labor Cybersecurity Apprenticeship grant (2020-2024). The Wireless Systems Lab, established in 2012, conducts hands-on research in medical IoT security, emergency communication protocols, and real-time monitoring systems. Current projects include security attacks on medical IoT devices with Jesse Ostrander and Jackson Richman, while past work has resulted in classroom demonstrations for K-12 students and novel cache deployment solutions for disaster scenarios.

Ahmad Alsharifمشاهده پروفایل

استادیار

• Applied Cryptography
• IoT Security
• Blockchain Applications
• +۲ مورد دیگر

Dr. Ahmad Alsharif is an Assistant Professor in the Department of Computer Science at the University of Alabama's College of Engineering. His research expertise spans applied cryptography, IoT security, cyber-physical systems security, and blockchain applications. He received his B.S. and M.S. in Electrical Engineering from Benha University, Egypt, and Ph.D. in Electrical and Computer Engineering from Tennessee Tech University. Research focuses on security challenges in critical infrastructure systems including smart grids, IoT networks, and UAV systems. Current projects investigate privacy-preserving machine learning techniques, adversarial attack resilience, secure data marketplaces, and attack detection mechanisms for distributed energy systems. His work combines cryptographic protocols with machine learning for trustworthy systems. Awards include the NSF Research Initiation Initiative Grant (NSF CRII) and Young Innovator Award from Egyptian Industrial Modernization Center.

• Smart-grid cyber-security
• Computer networks
• Artificial intelligence methods
• +۴ مورد دیگر

Robert Czechowski, PhD , is an Assistant Professor at the Faculty of Information and Communication Technology , Wrocław University of Science and Technology , Poland, stationed in the Department of Telecommunications and Teleinformatics . His office is located in building D-20, room 421, and he holds regular consultation hours on Tuesdays 14:00–15:00, Wednesdays 15:00–17:00, and Thursdays 13:00–15:00. His research portfolio is centred on securing the next generation of electrical power systems. Core interests include: Cyber-security architectures for smart grids and micro-grids Artificial-intelligence-driven intrusion detection and prevention systems (IDS/IPS) Network protocols and time-synchronisation security in SCADA environments Simulation of information flow in complex, dynamically reconfigurable networks IPv4/IPv6 network design and security policy enforcement in power-system automation Database and expert-system solutions for real-time energy-management and fraud detection Between 2014 and 2019 he authored or co-authored more than fifteen peer-reviewed works. The publications reveal a clear longitudinal trend: early work established foundational security policies and good-practice guidelines, while later studies pivot toward advanced AI/ML techniques for anomaly detection and risk quantification in smart-metering infrastructures. A recurring theme is the integration of communication-protocol security (IEC 61850, PLC, IPv4/IPv6) with higher-level cyber-physical risk governance. Scientific recognitions: None explicitly mentioned in the supplied text. Advising & Grant activities: The provided material does not list specific doctoral or master’s students, nor does it enumerate funded projects. Laboratories & Teams: He conducts research within the Department of Telecommunications and Teleinformatics, leveraging university laboratories and the wider ICT Faculty infrastructure, although no dedicated lab name is specified.

• Smart Electricity Grids
• Energy Storage Systems
• Electromagnetic Compatibility
• +۳ مورد دیگر

Daniel Månsson is a Professor at the Department of Electrical Engineering, Royal Institute of Technology (KTH), specializing in smart electricity grids and power system components. His work spans electromagnetic compatibility (EMC) of large distributed systems, energy storage optimization, and privacy protection in smart metering. PhD in Engineering Physics (with specialization in Electromagnetism) Docent (Swedish Academic Title) in Electrical Engineering His research focuses on: Optimization of self-sufficient microgrids with energy hubs Smart meter privacy protection using energy storage EMC analysis of photovoltaic systems and UWB transients Hybrid energy storage system performance in renewable grids Recent publications indicate expertise in: Electromagnetic interference from solar PV systems Cyber-physical security in smart meters Conducted emission analysis Greenhouse gas reduction through optimized storage

Mohsen Saffariمشاهده پروفایل

استادیار

• Machine Learning
• Deep Learning
• Spatiotemporal Data Analysis
• +۳ مورد دیگر

Mohsen Saffari is an Assistant Professor of Computer Engineering at Purdue University Northwest (PNW), joining the Electrical and Computer Engineering department in Fall 2024. His research and teaching focus on machine learning, deep neural networks, and their applications in spatiotemporal data analysis, particularly in power systems and computer vision. He holds a Ph.D. and is actively involved in advancing interdisciplinary approaches to energy systems and intelligent technologies. His research emphasizes the theoretical and practical aspects of machine learning and deep learning models applied to spatiotemporal data. His work spans power systems optimization, including fault detection in power distribution networks and probabilistic optimal power flow analysis. In computer vision, he explores domain adaptation techniques for traffic scene understanding and masked face recognition. He also develops innovative methods like physics-informed graph neural networks and generative adversarial networks for solving complex engineering and healthcare challenges. Recent trends in his publications highlight advancements in graph neural networks for power systems, spatiotemporal data applications, and domain adaptation in computer vision. His contributions include energy disaggregation techniques, photovoltaic forecasting, and medical imaging through interdisciplinary approaches combining deep learning with physics-based models. Dr. Saffari’s teaching focuses on machine learning fundamentals, artificial neural networks, and software engineering. He advocates for engineers’ role in shaping societal advancements through critical thinking and innovation.

Ibrar Yaqoobمشاهده پروفایل

پژوهشگر ارشد

• Blockchain and Applications
• NFTs and Metaverse Applications
• Mobile Edge-Cloud Computing
• +۴ مورد دیگر

Dr. Ibrar Yaqoob serves as a Senior Research Fellow and Program Lead for the Smart and Resilient Supply Chain strand at the Artificial Intelligence and Cyber Futures Institute (AICF) at Charles Sturt University. He leads a research team comprising PhD students and postdoctoral fellows, and previously held research positions at Khalifa University in the UAE and Kyung Hee University in South Korea. Dr. Yaqoob holds a PhD in Computer Science from Universiti Malaya (2017) and has been a Visiting Academic at the University of Cambridge. His research focuses on blockchain, NFTs, and metaverse applications for healthcare, supply chain and logistics, wireless networks, IoT, and smart cities, with additional expertise in mobile edge-cloud computing and big data. Dr. Yaqoob has published over 100 research articles with more than 24,000 citations and an h-index of 58, with 98.9% of his publications appearing in Q1 journals. His recent publications demonstrate a strong trend toward practical blockchain implementations across diverse sectors including healthcare data management, sustainable supply chains, and smart city infrastructure. His work frequently combines blockchain with emerging technologies like NFTs, metaverse applications, and large language models to solve complex real-world problems in supply chain transparency, medical data security, and sustainable development. Ranked in the world's top 0.1% of researchers for three consecutive years (2023-2021) as a Highly Cited Researcher Listed among the World's top 2% scientists for five consecutive years (2020-2024) 2024 IEEE Consumer Electronics Magazine Best Paper Award (1st Place) 2024 Vice Chancellor's Researcher of the Year Commendation 2024 AICF Research Excellence Award 13 highly cited papers (top 1%) and 21 most downloaded articles Dr. Yaqoob serves as Chief Investigator on multiple significant research projects including the AgriTwins project (AUD $2.38 million), Trustworthy Operations and Supply Chain Management project (AUD $10,000), and Decentralized AI Juries project (AUD $13,875). He actively mentors PhD students and postdoctoral researchers while serving on editorial boards for prestigious journals including IEEE Network Magazine, Future Generation Computer Systems, and IEEE Access. His research team at the AICF Institute focuses on bridging emerging technologies with practical applications to address real-world challenges in supply chain resilience and sustainability.

• Smart and Sustainable Grids
• Intelligent Systems
• Bioengineering
• +۴ مورد دیگر

Dr. Gregorio López López is an Associate Professor at the School of Engineering (ICAI) of Universidad Pontificia Comillas and a member of the Institute for Research in Technology (IIT). His research focuses on Smart and Sustainable Grids, Intelligent Systems, and Bioengineering. He holds a PhD in Telecommunications Engineering from Universidad Carlos III de Madrid (2014), recognized with the Extraordinary PhD Dissertation Award and CISCO-COIT Prize. Education: PhD in Telecommunications Engineering (UC3M, 2014), MSc and BSc in similar fields. His research interests include M2M communications optimization, IoT cybersecurity, and smart grid technologies. He has led over 17 national/EU projects including eFORT and InteGrid. His work spans 64 conference papers and 31 journal publications. Key awards: CISCO-COIT Prize (2015), Extraordinary PhD Award (2015), Deloitte Prize (2021), Lyntia Prize (2022). He advises 4 PhD students, teaches telecommunications subjects, and contributes to cybersecurity initiatives like the RAYUELA project. His lab focuses on integrating cybersecurity with smart grid systems and youth tech safety.

• Power Systems
• Renewable Energy
• Electric Vehicles
• +۲ مورد دیگر

Haitham Abu-Rub is a Professor at Texas A&M University at Qatar specializing in power systems, renewable energy integration, and power electronics. His research focuses on developing innovative solutions for grid stability, EV charging infrastructure, and intelligent control systems. He has published extensively in IEEE journals and conferences, addressing challenges in smart grids and sustainable energy systems. His work spans power converter design, fault diagnosis, and AI applications in energy management. Recent projects include decentralized PV trading systems, resilient inverter networks, and physics-informed neural networks for insulation diagnostics. Dr. Abu-Rub collaborates internationally on projects involving grid-interactive buildings, digital twins for power converters, and adaptive control techniques for electric vehicle charging.

• Decision Support Systems
• Energy Management
• Sustainable Energy Planning
• +۸ مورد دیگر

Dr. Vangelis Marinakis is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA). His academic background includes an Electrical and Computer Engineering degree and a PhD in Decision Support Systems for Sustainable Energy Planning from NTUA. PhD in Decision Support Systems for Sustainable Energy Planning (NTUA) Electrical and Computer Engineer (NTUA) His research focuses on designing methodologies for intelligent energy management across Smart Homes, Buildings, Cities, and Districts, leveraging technologies like IoT, AI, and Big Data. He has contributed to over 25 European (Horizon Europe, H2020) and national projects, with more than 50 journal publications and book chapters. Key research areas include Decision Support Systems , Energy Efficiency , and Renewable Energy Integration . He has led research in AI-driven energy forecasting, federated learning for privacy-preserving data models, and blockchain applications in energy markets. His work explores the intersection of Smart Grids , Building Informatics , and Climate Resilience . Dr. Marinakis has developed frameworks for: Decarbonization-as-a-Service in building renovations Scalable Big Data architectures for smart buildings Multi-criteria optimization of EV charging stations Explainable AI in energy decision-making Climate resilience assessment for urban housing

Ning Yuمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۶ مورد دیگر

Ning Yu serves as an Associate Professor in the Department of Computing Sciences within the School of Arts & Science at State University of New York Brockport. He earned his Ph.D. in Computer Science from Georgia State University and joined SUNY Brockport in 2017 after serving as a Tenure-Track Assistant Professor at the University of South Carolina Upstate. Georgia State University, Computer Science, Ph.D. Southern Illinois University Carbondale, Computer Science, M.S. Dr. Yu's research spans artificial intelligence, network and information security, big data analytics, deep learning, and cloud computing with significant applications in bioinformatics. His work demonstrates a clear progression from foundational AI and security research toward specialized applications in healthcare and energy systems. The most recent publications show increased focus on graph-based deep learning approaches for biomedical problems, particularly in cancer genomics and drug response prediction. His scholarly impact includes over 40 publications in prestigious venues including ACM/IEEE Transactions, BMC, PLoS, and Information Sciences. The publication trend reveals consistent output with increasing emphasis on interdisciplinary applications, particularly at the intersection of AI and biomedical research. Teacher of The Year, School of Science and Art, SUNY Brockport 2022-2023 Influential Professor 2022, SUNY Brockport, Fall 2023 Provost Post-Tenure Scholarship Award, $3,500, SUNY Brockport, Spring 2024 Google Research Credits Grants (2018, 2020-2021) WORLDWIDE TOP 10 FINALISTS, IBM 2017 Watson Analytics Global Competition As an educator, Dr. Yu has mentored numerous undergraduate researchers who have presented at national conferences including NCUR and SURC. He founded SUNY Brockport's first ACM SIGAI Student Chapter and has secured significant funding including a multi-campus SUNY IITG grant for AI education development. His research group actively recruits students for projects involving cloud development (Azure/GCP/AWS), CI/CD, Docker/K8s, and software architecture. Prior to academia, Dr. Yu accumulated 10 years of professional experience in software development and system networking with certifications from Cisco, Microsoft, and Google.