Ankit Chakraborty is a Postdoctoral Fellow at the Bureau of Economic Geology, University of Texas at Austin. His research focuses on energy-environment intersections, including carbon capture and storage, unconventional resource recovery, and hydrological systems. Fields of Interest: Energy Research, Environmental Science, Geology, Hydrology Research Trends: Recent publications highlight CO₂ storage optimization, induced seismicity from energy operations, Arctic permafrost dynamics, and Permian Basin environmental impacts. His work combines field studies, geospatial analysis, and computational modeling. Contact: ankit.chakraborty@beg.utexas.edu
Iulia Olariu is a Research Scientist Associate at the Bureau of Economic Geology, University of Texas at Austin, specializing in clastic sedimentology and sequence stratigraphy. She contributes to stratigraphic studies of the Gulf Coast and CO₂ storage feasibility projects. PhD in Geology from University of Texas at Austin Focus on basin-scale sediment dispersion and subsurface data integration (well logs, seismic, cores) Active in STARR consortia and Gulf Coast Carbon Center (GCCC) initiatives Her research examines depositional architecture in shallow/deep-water systems, emphasizing cross-shelf sediment pathways and climate-paleogeography linkages. Recent work analyzes Miocene-Wilcox Group stratigraphy and CO₂ storage in Gulf of Mexico reservoirs. Publications span 2011-2023 , with key contributions to growth fault dynamics in deltas, wave-dominated shelf-edge systems, and 3D outcrop analysis techniques. She applies laser scanning and remote sensing to constrain reservoir quality and subsurface storage potential. Professional roles: Research Associate, Bureau of Economic Geology (2012–present) Research Scientist Associate III, University of Texas (2008–2012) Labs/teams: State of Texas Advanced Resource Recovery (STARR) Gulf Coast Carbon Center (GCCC) Quantitative Clastics Laboratory (QCL)
José André Rocha Sá Moura is an Assistant Professor at ISCTE - Instituto Universitário de Lisboa, affiliated with the Department of Information Science and Technology (ISTA). He is also an Integrated Researcher at the Institute of Telecommunications – IUL, where he contributes to the Radio Systems Group in Lisbon. His academic and research work is centered on advanced networking technologies and systems. PhD in Computer Science, Lancaster University, 2011 Master's in Electrical and Computer Engineering, University of Porto, 2001 Bachelor's in Electrical Engineering and Telecommunications, University of Aveiro, 1989 His research interests include software-defined networking (SDN), edge and fog computing, network management, game theory, optimization, resource virtualization, and the resilience of networked systems. He explores intelligent access to heterogeneous wireless networks and the integration of cloud and big data technologies in modern network infrastructures. His work bridges theoretical models with practical implementations in next-generation networks. The most recent publications highlight a strong trend in decentralized network control, autonomous management using AI/ML, resilience in edge systems, and efficient resource provisioning for IoT and multimedia services. His work frequently applies SDN and game theory to solve complex networking challenges in dynamic and heterogeneous environments. Scientific Awards and Recognitions: No specific awards mentioned in the provided text. Academic Supervision and Research Contributions: José Moura has supervised 1 PhD (as co-supervisor) and 10 MSc theses, covering topics such as SDN-based intrusion detection, multi-access management, fog computing, and IoT architectures. He has been involved in research projects including ImpAr, NEUF, and SAAS. He serves as a reviewer for journals like IEEE Transactions on Vehicular Technology and conferences such as ConfTele. His research aligns with UN Sustainable Development Goals related to innovation and infrastructure. Labs and Research Teams: He is an active member of the Radio Systems Group at IT – Lisboa, focusing on wireless technologies and networked systems. His work is embedded in the broader ecosystem of the Institute of Telecommunications, a leading R&D unit in Portugal.
Dr. Alan McCue is a Senior Lecturer in the Department of Chemistry within the School of Natural and Computing Sciences at the University of Aberdeen. He holds a BSc and PhD in Chemistry from the same institution and currently serves as the Programme Director for the MSc in Chemistry for Sustainable Energy. His academic role involves significant contributions to undergraduate and postgraduate teaching, particularly in areas related to sustainable chemistry and catalysis. His research centers on heterogeneous catalysis , with a focus on designing and optimizing hydrogenation catalysts for selective transformations. Key areas include the selective hydrogenation of alkynes, CO₂ conversion using transfer hydrogenation, and catalyst development from waste-derived materials. He employs advanced characterization techniques such as in-situ FTIR, XRD, and chemisorption to understand catalyst behavior. Dr. McCue's recent publications (2023–2025) reveal a strong trend toward sustainable chemical processes , including microwave-assisted synthesis of carbon materials from plastic waste, plasma-catalytic methane conversion, and biomass valorization. His work integrates green chemistry principles with industrial applicability, particularly in carbon capture and renewable fuel production. He is actively involved in funded research projects, including collaborations with the UKRI , UK Catalysis Hub , and Royal Society of Chemistry , focusing on hydrogen production, plasma-catalysis, and advanced FTIR methodologies. While no specific awards are listed, his extensive publication record in high-impact journals demonstrates significant scholarly recognition. Dr. McCue supervises postgraduate research and collaborates widely with researchers such as Dr. C. Fernandez Martin, Dr. D. Dionisi, and Prof. J. A. Anderson. His work is associated with the Centre for Energy Transition at the University of Aberdeen, reflecting his alignment with energy sustainability initiatives.
Professor Angel Cuesta Ciscar is a Personal Chair in the Department of Chemistry at the University of Aberdeen, within the School of Natural and Computing Sciences. He holds a leading role in electrochemical research and is actively involved in teaching and PhD supervision. His office is located in the Meston Building at the Old Aberdeen Campus. Education: PhD in Chemistry, 1996 Postdoctoral Fellow, University of Ulm, Germany (Marie Curie Fellow) Research Interests: His research focuses on understanding the electrode-electrolyte interface at the molecular level. He integrates classical electrochemistry with advanced in situ techniques like optical spectroscopy and scanning probe microscopy. Key areas include electrocatalysis (especially reaction mechanisms and dynamics), surface nanostructuring, CO2 electroreduction, and energy conversion/storage. His work emphasizes both fundamental insights and practical applications in sustainable energy. Recent Research Trends: His latest publications highlight a strong focus on the role of cations and interfacial water structure in electrochemical processes, particularly in CO2 reduction and alcohol oxidation. He employs time-resolved spectroscopic methods (e.g., ATR-SEIRAS) and computational modeling to uncover reaction mechanisms on platinum and gold surfaces. The work spans fundamental interfacial science to applied systems like hydrogen-based energy conversion and desalination. Scientific Awards and Honors: CIDETEC Prize for Scientific Research (2006) Visiting Professor, Catalysis Research Centre, Hokkaido University (2007) Special Visiting Professor, UFSCAR, Brazil (2013–2016) Fellow of the Royal Society of Chemistry Advising and Grants: Professor Cuesta supervises numerous PhD students and postdoctoral researchers in the Ab-Elektro Research Group. He has secured significant funding as Principal Investigator from major agencies including EPSRC (e.g., EP/X000931/1 on electrocatalysis in plasmas) and The Leverhulme Trust (e.g., RPG-2021-342 on time-resolved interface dynamics, RPG-015-040 on CO2 electroreduction). He has also collaborated with researchers across disciplines and institutions. Labs and Research Teams: He leads the Ab-Elektro Research Group (Aberdeen Electrochemistry Group), established in 2013. The group is based in the Meston Building and includes PhD students, postdoctoral assistants, and visiting researchers from institutions in Brazil, India, and Germany. The team is part of the Advanced Centre for Energy and Sustainability (ACES) and focuses on experimental and computational studies of electrochemical interfaces.
Gregory Van Seghbroeck is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05). His work focuses on cloud computing, big data systems, and smart city infrastructure. Affiliation: Ghent University, IMEC research group Research Trends: Data placement optimization, workflow management, low-latency querying, cloud-native architectures He has supervised doctoral projects including Thomas Vanhove (2018), Leandro Ordonez Ante (2022), and currently advises Stan De Groeve (2025-2026). Key publication themes include: Interactive querying for latency-sensitive applications Geo-distributed data/cloud resource allocation Workflow orchestration frameworks (BRAHMA, SpeCH) Smart city data infrastructure
Qin Wang is an Adjunct Professor at KTH Royal Institute of Technology's Division of Electronics and Embedded Systems. His research focuses on advanced materials for energy applications, particularly in photovoltaics, electrocatalysis, and sustainable energy storage systems. He investigates novel perovskite solar cell architectures, electrochemical CO2 reduction, and water electrolysis technologies to enhance efficiency and stability. Dr. Wang's work integrates nanotechnology and materials chemistry to develop innovative solutions for renewable energy challenges. Recent efforts include designing bio-inspired catalysts for hydrogen production, optimizing perovskite film stability through surface passivation strategies, and advancing anion exchange membrane technologies for industrial-scale electrolysis. Key research themes: Perovskite materials, electrocatalytic water splitting, CO2 valorization, and energy conversion systems. Notable contributions: Development of multifunctional surface modulators for solar cells, chalcogenide-derived catalysts for electrolysis, and supramolecular host-guest complexation for stable perovskite modules. His team's work bridges fundamental material science with applied energy technologies, aiming to address global energy sustainability through interdisciplinary innovation.
Przemysław Pawełczak is an Associate Professor at Delft University of Technology within the Embedded and Networked Systems Group. He leads the Sustainable Systems Lab , focusing on battery-free and energy-efficient computing systems. PhD from TU Delft (2009) on Opportunistic Spectrum Access MSc from Wrocław University of Science and Technology (2004) His research centers on Internet of Things sustainability , with emphasis on eliminating batteries and reducing environmental impact. This includes hardware-software co-design for intermittent computing, wireless communication optimization, and quantum network protocols. 2022: DIPS framework for debugging battery-free systems 2022: Protean platform for heterogeneous battery-free computing 2021: BFree Python-based sensor prototyping 2019-2022: Quantum Internet Alliance contributions Key research trends include intermittent execution models , energy-harvesting hardware , and quantum communication protocols . His work spans from theoretical foundations to practical implementations in real-world systems. Scientific recognition includes: Dutch Research Council Veni 2012 grant He has supervised multiple PhD students and postdocs, including: Current: James Scott Broadhead, Jasper de Winkel Graduated: Amjad Yousef Majid (now TU Delft postdoc), Qingzhi Liu (Wageningen University lecturer) Leading projects include: Towards Energy Autonomous Systems for IoT (2016–Now) Quantum Internet Alliance (2019–2022) Low-Energy Visible Light IoT Systems (2019–2021) He coordinates the Sustainable Systems Lab and contributes to academic service through editorial roles and conference committees.
Dr. Luis Rouco Rodríguez is a Full Professor at the Higher Technical School of Engineering (ICAI) of Comillas Pontifical University and a leading researcher at the Technological Research Institute (IIT). He holds a PhD in Industrial Engineering from the Polytechnic University of Madrid (1990). His roles include Director of the REE-ICAI Electrical System Operation Specialist Course, former Director of the Electrical Engineering Department (1999-2005), and Director of the ENDESA-IIT Master's in Electrical Technology (2007-2011). He teaches courses in Electrical Machines, Protections, and Power Systems. His research focuses on modeling, analysis, simulation, control, and identification of electrical power systems. Over 250 projects for Spanish/EU administrations and companies have been overseen by him, emphasizing grid stability, renewable integration, and smart grid technologies. He is a Distinguished Member of CIGRE and Senior IEEE member, leading editorial and advisory roles in journals like IEEE Transactions on Power Systems. Recent work highlights include grid-forming converter control, transient stability in high-renewable grids, and optimization of virtual power plants. His over 200 publications span top journals like IEEE Transactions and International Journal of Electrical Power & Energy Systems. Key awards include four six-year research grants and leadership in global initiatives like the TWENTIES project. He collaborates with institutions worldwide, including MIT, ABB, and CIGRE committees. Projects involve smart grid scalability, island power systems, and hydrogen infrastructure. His work bridges theoretical advancements with industry applications, addressing critical challenges in modern power systems.
Yujie Tang is an Assistant Professor in the Faculty of Computer Science at Dalhousie University, Halifax, Canada, where she has been serving since September 2022. Prior to this, she was an Assistant Professor at Algoma University from July 2019 to August 2022, and a Postdoctoral Fellow at the University of Waterloo from October 2017 to June 2019. Faculty of Computer Science, Dalhousie University (2022–Present) School of Computer Science and Technology, Algoma University (2019–2022) Department of Electrical and Computer Engineering, University of Waterloo (Postdoc, 2017–2019) Education: Ph.D., Electrical and Computer Engineering, University of Waterloo M.E., Harbin Institute of Technology, Shenzhen B.E., Lanzhou Jiaotong University Dr. Tang’s research centers on intelligent networking and computing technologies, with applications in B5G/6G networks, Internet of Vehicles (IoV), edge computing, and UAV-assisted systems. She leverages machine learning and AI to optimize resource management, spectrum allocation, and network performance in heterogeneous and dynamic environments. Her work bridges theoretical design with practical implementation in next-generation communication systems. The recent publications highlight a consistent focus on AI-driven solutions for wireless networks, particularly in vehicular communications, edge intelligence, and spectrum efficiency. Key themes include reinforcement learning for UAV deployment, deep learning for spectrum sensing, and cooperative edge caching in 5G/mmWave networks. These works span top journals such as IEEE TWC, TVT, IoT Journal, and JSAC, reflecting strong technical depth and real-world applicability. Scientific Awards and Honors: NSERC Discovery Grant (2021–2026) Faculty Research Startup Funds from Dalhousie and Algoma Universities Best Speaker Award, University of Waterloo (2017) Multiple awards including FoE Award, Graduate Scholarship, and Entrance Awards from University of Waterloo (2011–2017) Dr. Tang actively contributes to the academic community as a reviewer for leading IEEE journals and conferences, and has served on technical program committees for IEEE INFOCOM, GLOBECOM, ICC, and VTC. She is a member of IEEE, IEEE Communications Society, and IEEE Vehicular Technology Society. She is currently advising and recruiting MSc and PhD students for research in B5G/6G, IoV, and AI-empowered edge computing. Laboratory and Research Group: Dr. Tang leads a research group focused on intelligent networking and edge AI systems at Dalhousie University. Her lab investigates real-time decision-making, resource slicing, and autonomous vehicular networks, often integrating simulation with practical deployment considerations.
Vivek Kumar Singh is a Senior Researcher at NREL's Energy Security and Resilience Center , focusing on cybersecurity and machine learning applications for energy systems. His work spans 5G-enabled grid security, federated learning for digital twins, and attack-resilient power system control. Education : PhD in Electrical Engineering from Iowa State University Bachelor in Electrical Engineering from National Institute of Technology, Durgapur Research Interests include federated machine learning for cybersecurity, hybrid energy storage optimization, and 5G applications in distributed energy systems. His recent publications emphasize anomaly detection in synchrophasor networks and adversarial threat modeling. Scientific Awards : Iowa State Research Excellence Award (2020) North American Synchrophasor Initiative Outstanding Graduate Student (2020) Resilience Week Best Paper Award (2019) Texas Power and Energy Conference 3rd Best Power Award (2020) Professional Involvement includes IEEE Power and Energy Society membership and collaborative projects with other national labs and industry partners.
Weinan Xu is an Assistant Professor at the School of Polymer Science and Polymer Engineering within the University of Akron's College of Engineering and Polymer Science. He holds a Ph.D. in Materials Science and Engineering from Georgia Institute of Technology (2015) and completed postdoctoral research (2016-2019) at Johns Hopkins University. Education: Ph.D. in Materials Science and Engineering, Georgia Institute of Technology (2015) B.E. in Polymer Materials and Engineering, Donghua University (2011) His research focuses on creating stimuli-responsive functional polymers , 2D layered materials , and unconventional 3D fabrication technologies for biosensing, bioelectronics, and energy storage applications. The interdisciplinary projects bridge polymer science, molecular assembly, and 3D manufacturing. Recent publications highlight advancements in 2D material integration , self-folding graphene , and responsive microcapsules . Key trends emphasize adaptive nanocomposites , light-responsive origami , and thermoresponsive biosensing systems . The research group develops hybrid materials combining active polymers with 2D structures, enabling novel applications in soft robotics and energy conversion . The work is supported by collaborations in advanced micro/nanofabrication and interdisciplinary material design.
Pierre Sens is a Professor at Sorbonne University , where he leads the DELYS group (formerly Regal) – a joint research team with Inria Paris. His work focuses on distributed systems and fault tolerance , with applications to cloud computing , dynamic networks , and large-scale data storage . He has served on program committees for major conferences like DISC, ICDCS, and IPDPS, and as General Chair for SBAC and EDCC. PhD in Computer Science (1994) and HDR (2000) from Paris 6 University (UPMC) Advisor to 22 PhD theses since 1999, including recent work on secure DNS architectures and dynamic group maintenance Over 140 publications in journals and conferences, with recent contributions to stream processing, federated learning, and Byzantine fault tolerance His research explores failure detection in asynchronous networks , resilient distributed algorithms , and adaptive resource management in volatile environments. Key themes include causal broadcast , leader election in MANETs , and predictive replication models . He has developed protocols like Stab-FD (cooperative failure detection) and OMAHA (message aggregation for phase-based algorithms), with applications to cloud systems, edge networks, and peer-to-peer infrastructures. His scientific contributions span theoretical work (e.g., weakest failure detectors for Byzantine systems) and practical implementations (e.g., Pastis file system for peer-to-peer networks). He emphasizes dynamic adaptation in mobile and heterogeneous systems, addressing challenges in distributed mutual exclusion , NUMA virtualization , and video streaming optimization . Collaborations with teams in France, Brazil, and India further highlight his international impact.
Helge Hellevang is a Professor at the Section for Environmental Geosciences , Department of Geosciences, University of Oslo. His research focuses on CO2 storage , mineral kinetics , and gas-liquid-mineral reactions in subsurface environments, with significant contributions to understanding porous media dynamics and diagenetic processes in energy and climate contexts. University of Oslo Department of Geosciences Environmental Geosciences Hellevang's work bridges fundamental geochemical processes with applied energy solutions, including hydrogen storage in geological formations and CO2 mineralization in basaltic systems. His projects address global challenges like climate change mitigation through carbon capture and storage (CCS) and clean energy development via rock cavern technologies. Recent publications reveal a strong emphasis on porous media and mineral precipitation impacts across diverse contexts—from CO2 storage in saline aquifers to hydrogen mobility in clay minerals. Collaborative studies span microfluidic experiments, computational modeling of wettability effects , and field-scale reservoir analysis in China and the North Sea. His research involves interdisciplinary collaboration with institutions in Norway, China, and Spain, contributing to planetary analog studies for Mars exploration and terrestrial climate initiatives in Malawi and Tanzania. Current work also explores enthalpy-driven mineralization and nano-pore fluid behavior using advanced simulation techniques.
Dr. Yi Zong is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in renewable energy integration, power-to-X technologies, and demand response systems. His work bridges theoretical control strategies with practical applications in wind-dominated energy systems. Current Projects: DTWO (Digital Twins for Offshore Wind), P2X-Risø (Energy Harvesting), and ECoClay (Electric Calcination of Clay) Research interests include: Power-to-Hydrogen systems and alkaline electrolyzer optimization Model Predictive Control for microgrids and thermal energy storage Demand response in industrial processes (cement industry) and smart buildings Dynamic modeling of reversible solid oxide cells and hybrid energy storage Recent publications focus on: Advanced control algorithms (decentralized event-triggered, adaptive) Techno-economic analysis of hydrogen and industrial electrification Integration of wind and solar with energy storage systems Flexibility quantification in multi-carrier energy systems Active collaborations span European research institutions and industry partners, emphasizing cross-sectoral energy system integration.
