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Agathoklis GiaralisView profile

Senior Lecturer

• Structural Dynamics
• Earthquake Engineering
• Structural Health Monitoring
• +11 more

Dr. Agathoklis Giaralis is a Senior Lecturer in Structural Engineering within the Department of Civil Engineering at the School of Engineering and Mathematical Sciences, City, University of London. He earned his PhD in Civil & Environmental Engineering from Rice University, USA, in 2008, following an MSc and a 5-year Diploma (Ptychion) in Structural Engineering from Aristotle University of Thessaloniki, Greece. He is a Fellow of the Higher Education Academy, UK. PhD, Civil & Environmental Engineering, Rice University, USA (2008) MSc, Seismic Design of Structures, Aristotle University of Thessaloniki, Greece (2004) Ptychion (5 yr Diploma), Civil/Structural Engineering, Aristotle University of Thessaloniki, Greece (2003) Dr. Giaralis's research is centered on nonlinear stochastic dynamics and time-frequency signal analysis , applied to critical areas such as earthquake engineering , seismic structural design and assessment , structural health monitoring (SHM) , and passive vibration control . His work is pioneering in the development and application of inerter-based vibration control systems, such as the Tuned Mass-Damper-Inerter (TMDI), for enhancing the resilience of structures. He also explores compressive sensing and low-power wireless sensors for sustainable SHM, as well as digital twinning and machine learning in wind engineering. His recent research has significant implications for offshore wind turbines and urban wind comfort. An analysis of his 15 most recent publications reveals a consistent and cutting-edge research trajectory focused on the optimization and application of inerter-based devices for structural control. The work spans from developing analytical tuning formulas for TMDIs to conducting experimental validation on shaking tables and exploring novel applications in offshore wind turbines and composite floors. A strong emphasis is placed on performance-based design , uncertainty quantification , and practical implementation for real-world infrastructure. His scientific contributions have been recognized by prestigious awards, including the Fulbright Exchange Student Program scholarship for his PhD studies and a Fellowship from the Higher Education Academy . He is also a member of several leading professional organizations such as the American Society of Civil Engineers (ASCE) and the Society for Earthquake and Civil Engineering Dynamics (SECED). Dr. Giaralis is actively involved in research funding and academic mentorship. He has secured significant grants from Innovate UK and the EPSRC to support his work on machine learning-based design and optimal inerter configurations. He supervises a cohort of PhD students whose theses focus on advanced topics like adaptive control of bridge joints, inerter-based energy harvesting, and seismic assessment using digital twins. He also leads the Smart Structures and Structural Health Monitoring Research Unit , driving collaborative research in smart infrastructure technologies.

Angelina AnaniView profile

Associate Professor

• Mining Systems Optimization
• Mine Planning and Production Scheduling
• Sustainable Mining Systems
• +12 more

Dr. Angelina Anani is an Associate Professor in the Department of Mining & Geological Engineering at the University of Arizona, College of Engineering. She is also a member of the Graduate Faculty and actively contributes to research and teaching in mining systems optimization, mine planning, and sustainable mining practices. Education: PhD in Mining Engineering, Missouri University of Science and Technology, Rolla, Missouri, United States BS in Mining Engineering (Summa cum laude), Missouri University of Science and Technology, Rolla, Missouri, United States Research Interests: Dr. Anani's research spans a broad spectrum of mining engineering challenges, focusing on modeling and optimization of mining systems , mine planning and production scheduling , and sustainable mining system design . She investigates mine equipment reliability , tunneling and underground works , and energy and water efficiency . A significant portion of her recent work integrates machine learning and data-driven approaches into mine safety and planning, including 3D/4D/VR applications and digital twin systems . Her interdisciplinary approach also includes ethnographic research in mining communities and supply chain management in the mining sector. Publications Trends: Her recent publications reflect a strong shift toward intelligent systems in mining, with increasing focus on machine learning for safety, process mining for maintenance, and digital twin deployment. She combines traditional optimization techniques like discrete event simulation with modern AI to solve complex mining challenges, particularly in underground and transition mines. Scientific Awards: Freeport-McMoRan, Inc. Career Development Grant Society for Mining, Metallurgy and Exploration, Fall 2022 Faculty Core Advising and Grants: Dr. Anani supervises graduate research through MNE 900 (Research), MNE 910 (Thesis), and MNE 920 (Dissertation) courses. She has secured external funding such as the Freeport-McMoRan Career Development Grant, supporting her innovative work in mine optimization and safety. While current students are not listed, her active supervision load indicates ongoing mentorship of master’s and PhD candidates. Labs and Teams: She is actively involved with the San Xavier Underground Mine Laboratory, where she contributes to monitoring systems and digital twin development. Her collaborative work with researchers from Chile and Ghana highlights her international engagement. She is also affiliated with professional societies including the Society of Mining, Metallurgy and Exploration (SME), Society of Mining Professors, and Women in Mining (WIM), contributing to both technical and diversity initiatives in the field.

• Lithium-ion Battery Technologies
• Redox Flow Batteries
• Bioenergy
• +5 more

Dr. Jacob Joseph Lamb is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Energy and Process Engineering within the Faculty of Engineering. He serves as the Study Program Manager for the Bachelor of Engineering in Renewable Energy (BIFOREN) and leads the Digital Energy Systems laboratory group. His roles include WP8 leadership in the FME Battery initiative and Theme Leader for Efficient Energy Use at ENERSENSE. Education: PhD in Energy and Process Engineering, NTNU (2013–2016) MSc in Chemical Engineering, University of Otago, New Zealand (2011–2012) BSc in Chemical Engineering, University of Otago, New Zealand (2008–2010) Research Interests: Dr. Lamb focuses on sustainable energy systems, particularly lithium-ion battery technologies , redox flow batteries , bioenergy , and digitization of energy systems . He explores sensor technologies for real-time monitoring and optimization of energy storage devices. His work integrates machine learning with physics-based models to enhance battery performance and reliability. Key Projects: FME Battery: Norwegian research initiative for advanced battery technologies ReZinc: Zinc-air flow battery development for stationary storage HeaLiSelf: Self-healing lithium-ion batteries using optical sensing and data analytics Computational studies on pre-lithiation processes and cold-climate battery performance Publications: His recent work emphasizes lithium-ion battery digitalization , SoC estimation , and electrode structuring . He bridges experimental and computational methods to address challenges in energy storage scalability and safety. Affiliations: ENERSENSE (Efficient Energy Use Theme) NTNU Thermal Engineering Laboratories

• Flexible and Stretchable Electronics
• Wearable Biosensors
• Antennas
• +4 more

Dr. Shanmuga Sundar Dhanabalan is an Adjunct Senior Fellow in the School of Engineering at RMIT University, specializing in flexible/stretchable electronics, wearable biosensors, and photonics. His research focuses on smart medical devices like Smart Mattresses for aged care and Smart Eye Patches for chronic eye disease management. He collaborates extensively with industry and holds roles in research supervision and curriculum development. **Affiliations**: Functional Materials and Microsystems Research Group, RMIT University (Melbourne, Australia). **Research Interests**: Wearable sensors, optical communications, photonics, antennas, and sustainable nanomaterials. His work bridges materials science with healthcare technologies, emphasizing practical industry applications. **Awards**: Fondecyt Postdoctoral Fellowship (2018), TEQIP Doctoral Scholarship (2013), and fellowships with the Optical Society of India and Computer Science Teacher Association. **Supervision & Grants**: Active in mentoring postgraduate research projects (e.g., smart sensors, bioelectronic devices). His publications span over 60 peer-reviewed articles in journals like Optical and Quantum Electronics and Renewable and Sustainable Energy Reviews . **Labs/Teams**: Engaged in cross-disciplinary teams developing wearable health monitoring technologies and sustainable materials for electronics.

Stanko StankovView profile

Researcher

• Industrial Automation
• Process Control
• SCADA Systems
• +7 more

Stanko Stankov is a researcher at the Faculty of Electronics, University of Niš, Serbia, affiliated with the Department of Automation. His work bridges academic research and industrial application in automation, control systems, and energy-efficient industrial processes. Master's Degree, Automation, Faculty of Electronics, University of Niš, 2013 Bachelor's Degree, Automation, Faculty of Electronics, University of Niš, 1987 His research focuses on industrial automation, particularly the application of PLC and SCADA systems in mineral wool production, water treatment, HVAC, and electrical installations. His work emphasizes real-time monitoring, process optimization, and energy efficiency in industrial settings. He has contributed to the design and implementation of control systems for complex technical plants, grounding, solar power, and security installations. The recent publications reveal a consistent trend in applied control engineering, with a focus on industrial process automation, data acquisition, and system integration. His work spans chemical, water, metallurgical, and energy sectors, demonstrating interdisciplinary relevance in engineering. Stanko Stankov holds professional licenses as a responsible designer and contractor in electrical and automation systems, indicating strong industry engagement. He has been involved in over 40 major design projects and the construction of more than 20 industrial facilities. He participates in national research projects and has contributed to journals such as Facta Universitatis , Tehnika , and Chemical Industry . His expertise includes solar power plants, fire protection, video surveillance, and telecommunications infrastructure.

Anna JackmanView profile

Lecturer

• Political Geography
• Feminist Geopolitics
• Digital Geographies
• +9 more

Anna Jackman is a Lecturer in Human Geography at the School of Archaeology, Geography and Environmental Science (SAGES), University of Reading. She serves as Director of Postgraduate Research Students in Human Geography and is a member of the SAGES Diversity and Inclusion leadership collective and Research Ethics Committee. Her research is situated at the intersection of feminist political geography, digital and robotic technologies, and critical militarism. Education: PhD in Human Geography, University of Exeter, 2017 Fellowship, Advance HE General Visual Line of Sight Certificate (GVC), UK A2 Certificate of Competency (A2 CofC), UK Anna Jackman’s research focuses on the political geographies of drones, particularly how drone technologies reshape airspace, urban life, and military practices. Her work critically engages with feminist geopolitics, volumetric space, and the gendered and embodied dimensions of drone use. She explores how drones are visualized, normalized, and naturalized in public, military, and commercial contexts, especially through media and tradeshows. Her research emphasizes the ethical, legal, and social implications of drone proliferation, including issues of surveillance, security, and harm. Her recent publications examine drone sensing, feminist understandings of volume, and the concept of 'everyday droning' as a mode of homing military technologies into civilian life. She has led an ESRC New Investigator Award project titled 'Diversifying Drone Stories' (2021–2023), which investigates aerial insecurities and harms in UK airspace. Her interdisciplinary work connects geography with law, gender studies, and security analysis. Scientific Awards and Recognition: Economic and Social Research Council (ESRC) New Investigator Award Advance HE Fellowship Specialist Adviser to the UK House of Commons Science and Technology Committee (2019) Expert witness for the Defence Committee on domestic drone threats Anna advises on postgraduate research in human geography and has contributed to collaborative projects such as the Royal Geographical Society and Antipode-funded 'States of Precarity' initiative. She has received research funding from the ESRC and is actively involved in public engagement, policy advising, and interdisciplinary collaboration. Her work is supported by her expertise in ethnographic methods, particularly event ethnography at defense tradeshows. She is affiliated with research centers including the Human Geography Research Cluster and the Global Development Research Division at the University of Reading. She also contributes to academic discourse through her roles on the editorial boards of Digital War and Defense & Security Analysis .

• Signal Processing
• Image Processing
• Smart Environments
• +6 more

Manuel Reis is an Associate Professor with Agregação at the University of Trás-os-Montes e Alto Douro (UTAD), Portugal, in the Electrical Engineering Department. His research focuses on signal/image processing, smart environment systems, and multimedia education technologies. He is affiliated with the Institute of Electronics and Telematics Engineering of Aveiro (IEETA) and collaborates with Brazil's IFPA-Santarém in computing education research. Education: Bachelor's in Electrical Engineering (University of Trás-os-Montes e Alto Douro, 1991) Master's in Electronics and Telecommunications (University of Aveiro, 1996) PhD in Electrical Engineering (University of Aveiro, 2001) Research Interests: Signal & Image Processing Cybersecurity for IoT and Smart Environments Education Technology (e-learning, multimedia tools) 5G and Edge Computing Applications Artificial Intelligence in Agriculture and Healthcare Recent articles highlight his work on cybersecurity in connected vehicles, federated learning for IoT security, and IoT-based systems for drowsiness detection. He has contributed to projects involving smart city infrastructure, sustainable waste management, and low-cost biomedical devices. His educational research explores e-learning frameworks, student engagement metrics, and innovative teaching methodologies in engineering education. Lab/Affiliations: Institute of Electronics and Telematics Engineering of Aveiro (IEETA) Multidisciplinary Research Group IFPA-Santarém-Brazil (Computing in Education)

• Digital Twins
• Smart Cities
• Blockchain Technology
• +5 more

Noel Crespi is a Professor and Director of Studies at Telecom SudParis, part of Institut Polytechnique de Paris. He leads research in the NeSS group and is affiliated with SAMOVAR, a prominent research laboratory focusing on networks, systems, and services. His work spans multiple domains in telecommunications, networking, and smart systems. His primary research interests include digital twins for smart cities, blockchain technologies, Internet of Things (IoT) security and applications, 5G/6G networking, and machine learning applications in network management. He has published extensively on these topics, with over 100 publications in top-tier journals and conferences. His recent work shows a strong focus on digital twin applications for urban management, particularly in traffic and air quality monitoring. He has developed modular frameworks for smart city digital twins that integrate real-time data from multiple sources. His research also explores blockchain applications for network security, access control, and service provisioning in next-generation cellular networks. Dr. Crespi has received significant recognition for his work on digital twins, with his 2020 paper "Digital twin in the IoT context" in Proceedings of the IEEE being highly cited. His current research explores the integration of AI with digital twin technologies for sustainable urban development. He has supervised numerous PhD students and collaborates extensively with researchers across Europe and internationally. His work often involves interdisciplinary approaches, bringing together computer science, networking, urban planning, and environmental science. Dr. Crespi has been instrumental in developing frameworks for network digital twins, with applications in traffic management, air quality monitoring, and resource allocation in smart cities. His research demonstrates practical implementations in cities like Madrid, showing measurable improvements in urban management.

Francesca Dalia FaraciView profile

Senior Lecturer

• Biomedical Signal Processing
• Medical Data Analysis
• Wearable Technology
• +5 more

Francesca Dalia Faraci is a Senior Lecturer and Researcher at the Department of Innovative Technologies (DTI) of SUPSI. She holds a PhD in Electronics from the University of York (UK) and a Laurea in Physics from the University of Genoa (Italy). Her research focuses on biomedical signal processing, statistical data analysis, and wearable technology applications in healthcare. She leads projects such as Cardio MIPA (arrhythmia monitoring) and AutoPlay_DD (child development analysis via smart toys). Key contributions include developing algorithms for sleep staging, arrhythmia detection, and synthetic ECG generation. Awards include the GOSPEL and DoE School Certificates. She coordinates research projects and teaches courses in Physics and Applied Statistics. Education: PhD in Electronics (University of York, 2006), Laurea in Physics (University of Genoa, 2002) Roles: Senior Lecturer, Researcher, Project Coordinator Key Projects: Tackling teleWorking Impacts, my Doctor's Lifestyle (lifestyle medicine), Telemonitoring Breast Cancer Her research bridges AI and clinical practice, emphasizing ethical frameworks and complementarity between clinicians and AI systems. Recent work includes causal inference for sleep dynamics and bias quantification in healthcare algorithms.

Malachy Mc ElholmView profile

Lecturer

• Fault Detection
• RISC-V Architecture
• Spiking Neural Networks
• +5 more

Malachy Mc Elholm serves as a Lecturer in Electrical Engineering at Ulster University's Faculty of Computing, Engineering and the Built Environment, based at Magee Campus in Londonderry. His research integrates hardware engineering with neuromorphic computing to address critical system reliability challenges. His research specializes in fault detection mechanisms for RISC-V architectures and self-repairing hardware systems using spiking neural networks . Key contributions include novel watchdog mechanisms for real-time fault tolerance in processors and neuromorphic solutions for structural health monitoring. Work spans hardware security , transient fault mitigation , and biologically inspired computing , with applications from processor integrity to civil infrastructure resilience. Recent publications (2020-2025) reveal a concentrated focus on applying spiking neural networks to RISC-V fault detection, yielding three 2025 papers on "Smart Watchdog" systems. Parallel work extends these principles to structural health monitoring, demonstrating cross-domain applicability from computer architecture to agricultural engineering through dairy farm energy studies. Scientific Awards No awards documented in available information Advising and Grants Advises PhD researcher David Simpson on RISC-V fault detection systems. Leads public engagement initiatives including a 2025 NI survey on dairy farm renewable energy generation and a 2021 pilot study comparing energy consumption in robotic versus conventional dairying , reflecting applied research in sustainable technology transfer. Labs and Teams Core member of Ulster University's neuromorphic computing research collective collaborating with Professors Harkin and McDaid. The team develops spiking neural network hardware for real-time critical applications, maintaining active projects in processor security and infrastructure monitoring with significant industry partnerships.

• Biopolymer Chemistry
• Nanocellulose
• Ionic Liquids
• +7 more

Wenwen Fang is a Visiting Professor in the Department of Bioproducts and Biosystems at Aalto University, affiliated with the Biopolymer Chemistry and Engineering research group within the School of Chemical Engineering. Her work is centered on sustainable biomaterials and green processing technologies. Her research interests span nanocellulose , ionic liquids , cellulose films , fiber spinning , and biorefining , with applications in environmental sensing and biomedical materials. She actively contributes to advancing circular economy principles in materials science. The recent publications demonstrate a strong trend in developing functional, sustainable materials—particularly through solvent-based cellulose processing, novel biorefinery concepts, and smart nanocellulosic sensors. The work integrates green chemistry with advanced material engineering for industrial scalability. Although no formal awards are listed, her research has been highlighted in media coverage by Aalto University, focusing on sustainable textile fiber applications and spinning process optimization. She collaborates extensively with researchers such as Herbert Sixta, Mariko Hummel, and Ingrid Schlapp-Hackl. Her work involves advising on doctoral theses and contributing to large-scale research outputs, though specific students are not named. She is involved in lab-based experimental research, particularly in fiber and film fabrication, and is part of a network focused on sustainable material innovation.

• Cybersecurity
• Wireless Communication
• Network Security
• +7 more

Saeed Ur Rehman serves as a Senior Lecturer in Cybersecurity and Networking within the College of Science and Engineering at Flinders University. He holds leadership positions as Course Leader for BIT and MIT (Networks and Cybersecurity) programs and Deputy Research Section Lead for Data and Information Sciences. His institutional affiliations include membership in the Centre for Defence Engineering Research and Training and the South Australia Cyber Security Innovation Node (SA Node) Advisory Board. Dr. Rehman's educational background includes: PhD in Electrical and Electronic Engineering from the University of Auckland (2015) Graduate Diploma in Higher Education from Unitec Institute of Technology (2016) Master of Engineering from the University of Auckland (2009) BSc Engineering from Pakistan (2004) His research spans cybersecurity, wireless communication, and network security with specific expertise in physical layer security, satellite communication, visible light communication, and fog computing. Dr. Rehman has developed innovative approaches in RF fingerprinting for device authentication and has contributed to vital sign monitoring technologies using radar systems. His work bridges theoretical security frameworks with practical applications in digital agriculture, vehicular networks, and energy harvesting systems. Analysis of his recent publications reveals a strong focus on emerging security challenges in next-generation networks, particularly addressing vulnerabilities in digital agriculture systems, privacy preservation in fog computing environments, and physical layer security enhancements for 6G networks. His research demonstrates consistent interdisciplinary collaboration across computer science, electrical engineering, and healthcare technology domains. Dr. Rehman has received significant recognition including: IEEE Senior Member status (2016) Fellowship from The Higher Education Academy, UK (2019) Cisco Networking Academy instructor certifications (2019, 2022) PhD Completion Award from University of Auckland (2014) As an active researcher and supervisor, he has secured substantial research funding including AUD$810,000 for the SmartSat CRC project (2020), AUD$150,000 from Defence Innovation Partnership (2023), and multiple grants from Flinders University and New Zealand institutions. He supervises PhD and Master's students in cybersecurity, with completed projects focusing on IoT security and privacy-preserving data aggregation, and current projects exploring intelligent reflective surfaces, RF emitter geolocation, and vehicular data communication frameworks. Dr. Rehman contributes extensively to the academic community as an IEEE Senior Member serving multiple societies, conference chair, journal editorial board member, and peer reviewer for numerous publications in his field.

Elham DelzendehView profile

Associate Professor

• Digital Built Environment
• Building Information Modelling (BIM)
• Sustainable Architecture
• +3 more

Dr. Elham Delzendeh is an Associate Professor and College Academic Lead for Employability at the College of Built Environment, Birmingham City University. She specializes in Digital Built Environment and Technological Design, with research emphasizing cutting-edge digital technology, building energy performance, occupant behavior, and Building Information Modelling (BIM). Her academic background includes a PhD in Architecture and Built Environment, an MSc and BSc in Architectural Engineering. PhD in Architecture and Built Environment MSc in Architectural Engineering BSc in Architectural Engineering Her research bridges practical and academic expertise in design and construction, focusing on occupant behavior analysis, energy-efficient building simulation, and Industry 4.0 technologies like digital twins. She has contributed extensively to energy performance modeling, occupant-driven systems, and sustainable urban interventions. Selected scientific awards include Fellow of the Higher Education Academy (FHEA) . She has supervised postgraduate research in digital built environments and occupant behavior, integrating real-world industry insights into her pedagogy.

Michael K. ReiterView profile

Professor

• Computer Security
• Distributed Systems
• Applied Cryptography
• +3 more

Michael K. Reiter is a Professor at Duke University in the Department of Computer Science and Department of Electrical & Computer Engineering . He received his Ph.D. in Computer Science from Cornell University (1993) and held academic positions at Carnegie Mellon University and UNC Chapel Hill. Research Focus: Computer and network security, distributed systems, and applied cryptography. Notable Contributions: Pioneering work in Byzantine fault tolerance, malware detection, privacy-preserving protocols, and human-verifiable authentication. Leadership: Founding Technical Director of CyLab at Carnegie Mellon, program committee roles at top security conferences. Recent Publications emphasize: Machine learning security (adversarial training, backdoor detection) Blockchain consensus mechanisms (asynchronous BFT, random beacons) Privacy-enhancing technologies (differential privacy, private set intersection) Side-channel mitigation in cloud environments Awards & Recognition: ACM Fellow (2008) James B. Duke Distinguished Professor

Manuel Jesus Espinosa GaviraView profile

Researcher

• Power Quality Analysis
• Wireless Sensor Networks
• Smart Grid Technologies
• +3 more

Manuel Jesus Espinosa Gavira is a researcher at the Department of Automation, Electronics, Architecture and Computer Networks Engineering at the University of Cádiz, Spain. He is affiliated with the TIC168 Computational Instrumentation and Industrial Electronics research group under the Information and Communication Technologies PAIDI area. Research Focus: His work centers on power quality analysis, wireless sensor networks, and smart grid technologies. Key contributions include developing instrumentation systems for voltage supply characterization, cloud-induced photovoltaic transient analysis, and synchronized sensor networks for industrial applications. His PhD thesis (2023) explored sensor networks for short-term solar prediction in microgrids and smart cities. Publications Trends: Recent work focuses on higher-order statistics (HOS) for power quality monitoring, photovoltaic plant optimization using weather forecasts, and frequency domain analysis for grid stability. These publications reflect expertise in computational instrumentation, renewable energy integration, and real-time monitoring systems.