Dr. Vanika Sharma is a Lecturer at UniSA STEM , University of South Australia. Her research focuses on renewable energy systems, battery storage optimization, and smart grid technologies. Renewable Energy Integration Power System Voltage Regulation Energy Cost Minimization Smart Inverter Controls Vanika's work addresses critical challenges in high PV penetration and overvoltage-induced curtailment . She has developed optimization models for battery sizing and tariff analysis, demonstrating economic benefits for households and distribution networks. Her recent studies show how combining reactive power support and smart inverters can eliminate financial losses. In her 2024 IEEE Access paper, she proposed a method to reduce active power curtailment by 47% through coordinated battery and PV inverter control. Earlier works (2017-2020) established foundational insights on feed-in tariff economics and net zero energy homes . Her research has received support from the Australian Government and University of South Australia.
Hatim Rahman serves as Associate Professor of Management and Organizations and Sociology (by courtesy) at Northwestern University, holding the prestigious PepsiCo Chair in International Management. His research fundamentally examines how artificial intelligence and algorithms reshape work structures, employment relationships, and labor market dynamics, with particular focus on digital platform ecosystems and algorithmic management systems. Professor Rahman's academic credentials include a PhD in Management Science & Engineering (2019) and MS in Organizations, Technology, Entrepreneurship (2014) from Stanford University, complemented by a BA in Business Process Management with Minor in Technology and Management from the University of Illinois-Urbana Champaign (2009). His scholarly work centers on the sociotechnical transformation of work through algorithmic systems, investigating worker reactivity to opaque evaluations, platform power dynamics, and emergent resistance movements in digital labor markets. Key contributions explore the "invisible cage" of algorithmic control, the experimental nature of platform management, and the sociological implications of AI-driven workplace restructuring. His research bridges management theory, sociology of work, and technology studies to address critical questions about fairness, autonomy, and accountability in the algorithmic age. Analysis of his publication trajectory reveals a clear evolution from creative occupations research (2017) toward concentrated investigation of algorithmic labor platforms (2021-2025). His work consistently demonstrates how digital platforms reconfigure worker autonomy through experimental management practices, opaque evaluation systems, and novel control mechanisms, while simultaneously generating new forms of worker resistance and activism. The 2024 book "Inside the Invisible Cage" synthesizes these insights into a comprehensive framework for understanding algorithmic worker control. Professor Rahman's exceptional contributions have earned him significant recognition: National Science Foundation CAREER Award recipient for bridging STEM skills and employment gaps George R. Terry Book Award winner from the Academy of Management Named among Poets & Quants' Best 40 Business School Professors Under 40 (2023) Thinkers50 Radar listing for influential management thinking Multiple Academy of Management best paper awards across divisions Microsoft Research AI and Society Fellowship International Labour and Employment Relations Association prizes His research program includes substantial grant funding from the NSF CAREER award, while his academic service encompasses editorial board membership at Administrative Science Quarterly and review work for top management journals. As an educator, he develops innovative courses like "Artificial Intelligence and the Future of Work" that prepare MBA students for technology-driven organizational transformation, emphasizing practical integration of AI systems while addressing ethical implications for workers and organizations.
Professor Jon Gibbins is a faculty member at the University of Sheffield within the School of Mechanical, Aerospace and Civil Engineering . He serves as the Centre Director of the UK Carbon Capture and Storage Research Centre and is a Research Area Champion for Solvent Post-Combustion . With over 30 years of experience in coal/biomass gasification and CCS since 2002, his work spans academic, industrial, and policy domains. He contributes to global CCS initiatives, including the SaskPower CCS Global Consortium Advisory Committee , and advises on energy system balancing, economics, and regulation. Research Interests: Carbon Capture and Storage (CCS) Power Plant Engineering Coal and Biomass Combustion Hydrogen Production with CCS Techno-economic Analysis Flexible Power Plant Operation Recent Article Trends focus on CCS integration, solvent optimization, hydrogen decarbonization, and combustion dynamics. His work emphasizes partnerships with industry and governments, particularly in China and the UK, addressing climate policy, energy security, and technology deployment.
Anant Narula is a postdoctoral researcher at Chalmers University of Technology, Sweden, affiliated with the Department of Electrical Engineering. His work focuses on power electronics in power systems, stability analysis of grid-forming converters, and renewable energy integration. PhD in Electrical Engineering (2023), Chalmers University of Technology Postdoc since 2023 at Department of Electrical Engineering Research Interests: Narula specializes in power electronics for power systems, analyzing grid-forming converter dynamics, stability, and control strategies. His work addresses challenges in renewable energy integration, microgrid protection, and converter-based grid support. Publication Trends: His recent articles (2024–2025) explore small-signal analysis of converters, reactive behavior impacts, and stability enhancement techniques. Earlier works (2016–2023) cover fault ride-through, parameter tuning, and modular converter design. Scientific Affiliation: He is a member of IEEE, contributing to power electronics and renewable energy research through collaborations and conference proceedings.
Catherine Peters is the George J. Magee Professor of Geosciences and Geological Engineering, and Professor of Civil and Environmental Engineering at Princeton University. She serves as Director of the Program in Geological Engineering and holds associated faculty roles in the High Meadows Environmental Institute (HMEI), Princeton Institute for the Science and Technology of Materials (PRISM), and the Andlinger Center for Energy and the Environment. Her work focuses on environmental chemistry, geochemical reactions, and subsurface energy technologies, including carbon sequestration, geothermal energy, and shale gas extraction. Education: PhD (Joint degree in Civil Engineering and Engineering & Public Policy), Carnegie Mellon University, 1992 MS in Civil Engineering, Carnegie Mellon University, 1987 BSE in Chemical Engineering, University of Michigan, 1985 Research Interests: Dr. Peters explores environmental challenges of subsurface energy systems through experimental, imaging, and modeling approaches. Key areas include CO2 storage in saline aquifers, geochemical reaction kinetics, and remediation of organic pollutants. Her lab uses synchrotron-based techniques and reactive transport simulations to study processes at nanometer to basin scales. She emphasizes collaborative research with national labs and universities. Recent Article Trends: Her publications (2023-2025) highlight advancements in carbon mineralization, hydrogen storage security, microbial geochemical interactions, and multi-scale material characterization. These works bridge environmental engineering, geochemistry, and data science to address decarbonization challenges. Awards & Leadership: Fellow, Association of Environmental Engineering and Science Professors (AEESP) since 2016 2012 EPA P3 Award for the 'Power-in-a-Box TM' sustainable design project Princeton Commendation List for Outstanding Teaching Grants & Collaborations: Funded by NSF, DOE, and EPA, her projects address subsurface energy systems and climate mitigation. She collaborates with national labs via synchrotron facilities and leads initiatives like the Grand Challenges Program. Courses taught include environmental engineering, statistical methods, and geochemical kinetics modeling. Labs & Teams: Affiliated with HMEI, PRISM, and the Andlinger Center, she integrates interdisciplinary teams to advance sustainable energy and environmental solutions. Her group’s work often intersects with global sustainability and equity goals.
Dr. Carl Ho (Ngai Man) is a Full Professor and Canada Research Chair in Efficient Utilization of Electric Power at the University of Manitoba's Price Faculty of Engineering, Department of Electrical and Computer Engineering. Appointed Associate Head (Electrical Engineering) in July 2021, he leads the Renewable-energy Interface and Grid Automation (RIGA) Lab established with CFI funding in 2014. His educational background includes: PhD in Electronic Engineering (2007), City University of Hong Kong MEng in Electronic Engineering (2002), City University of Hong Kong BEng in Electronic Engineering (2002), City University of Hong Kong Dr. Ho's research focuses on power electronics applications for sustainable energy systems, with particular expertise in power conversion technologies for electric vehicles, renewable integration, and smart grid infrastructure. His work bridges industrial application and academic innovation, evidenced by over 40 IEEE journal publications, 80 conference papers, and 20+ patents. Current research emphasizes wide-bandgap semiconductor applications, power hardware-in-loop validation, and DC microgrid architectures for remote communities. Analysis of his recent publications reveals a strong trend toward practical implementation of power electronics solutions, with increasing focus on GaN/SiC devices, grid-forming converters, and modular architectures for microgrids. His work consistently addresses real-world challenges in efficiency, reliability, and cost-effectiveness across renewable integration, electric transportation, and power quality domains. Notable awards include: Second Place Winner for 2018 IEEE Transactions on Power Electronics Prize Paper Multiple IEEE JESTPE Star Associate Editor Awards (2022-2023) IEEE TPEL AE Excellence Award (2023) Best Student Team Regional Award in IEEE Empower a Billion Lives 2019 As an active mentor, Dr. Ho supervises numerous graduate students across multiple cohorts and leads significant research initiatives including NSERC Discovery Grants, MITACS collaborations with Power Integrations Inc., Research Manitoba Innovation Proof-of-Concept Grants, and Natural Resources Canada projects on zero-emission heavy vehicles. His RIGA Lab serves as a hub for industry-academic collaboration with Manitoba Hydro and transportation sector partners. The RIGA Lab, completed in 2016 and renovated in 2019, houses specialized equipment for power electronics prototyping, real-time simulation, and hardware-in-loop testing. Current projects include advanced wireless EV charging, GaN-based controller development, and DC microgrid solutions for remote communities, with recent recognition including a visit from Prime Minister Justin Trudeau in April 2023.
Han La Poutré is a Professor at Delft University of Technology and a Senior Researcher/Manager at CWI's Intelligent and Autonomous Systems group. His research focuses on multi-agent systems, computational intelligence, and optimization techniques for Smart Energy Systems (SES), integrating electrical engineering and economics frameworks. M.Sc. in Mathematics (1986, TU Eindhoven) Ph.D. in Computer Science (1991, Utrecht University) His work spans game theory , reinforcement learning , and market mechanism design for energy grid optimization, addressing challenges in congestion management, demand-side bidding, and AI-driven media sector innovation. Recent projects include AI, Media & Democracy Lab and RESCUE (Cyber-Physical Energy Security). Key trends in his 2020-2025 publications include: Hybrid fairness/welfare frameworks for grid congestion Double-sided auction mechanisms for heat/power markets Deep reinforcement learning in discrete action spaces Game-theoretical cybersecurity modeling Multi-temporal demand response coordination Scientific Awards 2015: Best paper award at GECCO-2015 He has led NWO-funded projects like Computational Capacity Planning in Electricity Networks and served as Vice President of ERCIM. Current affiliations include ACM Transactions on Intelligent Systems editorial board.
Igor Wojnicki is a Professor at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, where he serves as Vice-Dean of the Faculty of Cooperation and Education. His primary affiliation is with the Department of Applied Informatics, where he maintains an active research laboratory focused on knowledge engineering and smart systems. His research spans multiple domains with evolving focus: Early career: Deductive databases and rule-based inference engines (PhD thesis on "A Rule-based Inference Engine Extending Knowledge Processing Capabilities of Relational Database Management Systems") Mid-career: Graph-based knowledge representation and Tabular Trees (XTT predecessor) Current focus: Smart city applications, particularly energy-efficient lighting control systems and graph-based urban data integration His recent publications demonstrate a clear trajectory toward applied urban computing, with over 15 significant papers in the last five years addressing smart city infrastructure optimization. Key themes include dynamic street lighting control, graph-based computational methods for urban environments, and energy conservation in public infrastructure. Wojnicki actively contributes to academic-practical collaboration through initiatives like the Green AGH Campus Project and IBM academic partnerships. His technical leadership includes development of the ReDaReS system for relational database knowledge processing and the Jelly View technology for advanced database queries. His laboratory maintains strong industry connections, particularly with IBM through student internship programs and technology transfer initiatives. The team produces both theoretical frameworks and practical implementations, with notable outputs including the Osiris GUI system and Magellan GPS software for Poland.
Charu Sharma is an Associate Professor in the Department of Electrical Engineering at UiT The Arctic University of Norway, specializing in power systems and smart grid technologies. Her work focuses on reactive power control, voltage stability, and optimization of renewable energy-integrated networks. Research on cyber-physical co-simulation frameworks for real-time grid management Development of hybrid renewable energy microgrids for rural and industrial applications Expertise in optimization algorithms (e.g., BFOA-PSO, ANFIS) for energy systems Recent publications highlight her contributions to DER-enriched distribution networks, low-inertia system stability, and intelligent load frequency control. She actively collaborates with researchers on projects like Cooperative Isolated Renewable Energy Systems and arcICE , addressing reliability and sustainability challenges.
Dr. Jianqiang Cheng is an Associate Professor in the Department of Systems and Industrial Engineering at the University of Arizona, College of Engineering. He is also a member of the Graduate Faculty and affiliated with the Applied Mathematics and Statistics Graduate Interdisciplinary Programs. His research is centered on optimization under uncertainty with applications in energy systems and logistics. Research Interests: His primary research areas include stochastic programming, robust optimization, distributionally robust optimization, semidefinite programming, and chance-constrained optimization. He applies these methodologies to challenges in power systems, renewable energy integration, microgrid design, and resilient supply chains. The recent publications (2020–2022) reflect a strong trend toward data-driven and computationally efficient methods in optimization. Key themes include distributionally robust optimization under moment and Wasserstein ambiguity, chance-constrained AC optimal power flow, and resilient supply chain modeling under disruptions such as the COVID-19 pandemic. His work frequently appears in top journals like INFORMS Journal on Computing , IEEE Transactions on Power Systems , and European Journal of Operational Research . Scientific Awards: Best Short Paper Award, INFORMS Workshop on Data Science (Fall 2022) NSF CAREER Award, National Science Foundation (Spring 2022) Science Foundation Arizona's 2017 Bisgrove Scholar (Spring 2017) Dr. Cheng has secured significant research funding, including the NSF CAREER Award, supporting his work in data-driven optimization. He collaborates extensively with researchers in energy systems and operations research, including K. Pan, M. Cheramin, A. M. Fathabad, and A. Lisser. While specific advisees are not listed, his role as a member of the Graduate Faculty indicates active supervision of graduate students in systems engineering, applied mathematics, and statistics. His research contributes to the development of advanced optimization models for real-world systems affected by uncertainty, particularly in energy and logistics. Though no specific lab is mentioned, his work implies involvement in computational optimization and energy systems modeling research groups within the College of Engineering.
Jose Miguel Espi Huerta is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia. He is an active researcher in power electronics and control systems, contributing significantly to grid-connected converters, renewable energy integration, and digital control techniques. His research interests include: Power Electronics and Inverter Control Predictive and Robust Control Strategies Renewable Energy Systems (Photovoltaic and Wind) Induction Heating Technologies Remote and Web-Based Educational Labs The analysis of his recent publications reveals a strong focus on improving the efficiency and reliability of grid-connected power converters using advanced control methods such as predictive current control and MPPT strategies. His work spans both industrial applications and academic education, particularly in developing remote laboratory platforms for control systems. Scientific awards and honors: No awards listed in the provided text. He has supervised academic theses and is affiliated with the LEII (Laboratory of Industrial Electronics and Instrumentation) research group. While no formal grants are listed, his extensive publication record indicates sustained research activity. He has contributed to the development of educational tools such as air levitation systems accessible via PLC and web interfaces, promoting innovative teaching methods in engineering education. The LEII research group focuses on industrial electronics, instrumentation, and power systems, providing a collaborative environment for applied research in energy conversion and control technologies.
Dr. Qiteng Hong is a Reader in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. He holds a BEng (Hons) and PhD from the same institution and is a leading researcher in power system protection and control for renewable-dominated grids. He is Deputy Director of the MSc in Electrical Power and Energy Systems and a member of the Steering Committee for the Joint MSc with Hong Kong University of Science and Technology (HKUST). BEng (Hons), Electronic and Electrical Engineering, University of Strathclyde, 2011 (Top Graduate of the Year) PhD, Electrical Engineering, University of Strathclyde, 2015 (fully funded by National Grid) His research focuses on novel solutions for monitoring, protection, and control of future power systems, particularly those with high renewable penetration. Key areas include wide-area monitoring using synchronized measurements, protection of converter-dominated systems, fast frequency response in low-inertia networks, and digital twin-based real-time control. His work contributes to UN Sustainable Development Goals in clean energy and climate action. Dr. Hong has published over 110 research outputs, including 59 journal articles. His recent publications (2025) emphasize fault detection and arc suppression in active distribution networks using advanced converter topologies and signal processing techniques. Themes include traveling wave analysis, Hough transform, synthetic zero-sequence signals, and machine learning for frequency prediction, reflecting a strong trend toward intelligent, data-driven power system protection. Gold Medal, 49th International Exhibition of Inventions Geneva (2024) IET Best Paper Award (DPSP APAC 2025) Best Paper Award, IEEE APAP (2019) Principal’s Award Runner Up, University of Strathclyde (2024) Students' Choice Award (2021) British Renewable Energy Awards – 'Highly commended' (2018) IET Prize for Academic Excellence (2011) John Moyes Lessells Scholarship (2013) Shortlisted for Best Innovation Award, Scottish Renewables (2018) Dr. Hong has led or participated in over 50 research and KE projects, securing £11M in funding (PI on £2.26M). He leads a team of 10 researchers, including 5 PhD students, and has developed the LGMVP platform—the UK’s first online tool of its kind. He serves on the University Senate, is a guest editor for 5 journal special issues (Co-Guest Editor-in-Chief for a special issue on zero-carbon power systems), and has delivered teaching across 9 modules. He has been PI or Co-I on major projects such as SETTLE-INSIGHT (NIA), Shell-iCase, and NGET SIF ALPHA. He leads an active research group focused on smart grid protection and digital twin technologies. He is the main developer of four prototype software tools and mentors a team of PhD students and research associates. His lab collaborates with industry partners like SSE, National Grid, and Shell, and he is a key figure in international initiatives through IEEE and CIGRE.
Ricardo Aguilera Echeverria is an Associate Professor at the University of Technology Sydney (UTS), School of Electrical and Data Engineering . With a Ph.D. in Electrical Engineering from the University of Newcastle (2012), he has held academic positions at UNSW Australia (2014-2016) and UTS since 2016. His research focuses on model predictive control (MPC) applied to power electronics , renewable energy integration , and microgrid control systems . He actively supervises Masters and PhD students and has developed courses such as Control Studio A and Control Studio B . Education: PhD in Electrical Engineering (University of Newcastle, 2012) MSc in Electronics Engineering (Universidad Tecnica Federico Santa Maria, 2007) BSc in Electrical Engineering (Universidad de Antofagasta, 2003) Research Interests: Model Predictive Control (MPC) for power converters Microgrid stability and cybersecurity Second-life battery integration Hybrid DC-AC microgrid solutions Recent Research Trends: Advancements in modular multilevel matrix converters (M3C) for LFAC systems Development of per-phase instantaneous power theories for LVRT compensation Sliding mode observers (SMO) for cyberattack mitigation in AC microgrids Optimal control strategies for delta-connected CHB converters in energy storage Grants & Projects: Lead investigator in HORIZON Europe (2024-2027) on digital solutions for renewable energy systems ARC Discovery Project (DP240102646) on extending second-life battery life (2024-2026) Collaborative grants with Sovereign Propulsion Systems Pty Ltd and NSW Department of Industry for hybrid-electric vehicle control
Rémy Jacquemond is a Postdoctoral Researcher at Eindhoven University of Technology's Department of Chemical Engineering and Chemistry, working within both the Membrane Materials and Processes Group and Electrochemical Materials and Systems Group. His research focuses on developing advanced materials for next-generation redox flow batteries, with particular emphasis on membrane technology and electrode engineering. His academic background includes: BSc in General Chemical Sciences from Institut Universitaire de Technologie (IUT), Montpellier, France MSc in Chemical Engineering with materials science specialization from Ecole Nationale Superieure de Chimie de Montpellier (ENSCM), France Second MSc in Nanoscience, Materials and Processes from Universitat Rovira I Virgili (URV), Tarragona, Spain PhD in Chemical Engineering and Chemistry from Eindhoven University of Technology (2023) His research centers on solving critical challenges in redox flow battery technology, particularly the development of ion exchange membranes stable in organic solvents and engineered porous electrodes. He pioneers the application of neutron radiography for in-situ diagnostics of battery operation and employs non-solvent induced phase separation techniques for precise electrode microstructure control. His work directly contributes to UN Sustainable Development Goals related to clean energy and responsible consumption. Analysis of his publication record reveals a strong trajectory in advanced battery diagnostics and materials engineering, with increasing focus on neutron-based visualization techniques and microstructure-controlled electrode fabrication. His 2024 Nature Communications paper on concentration distribution mapping represents a methodological breakthrough, while his consistent development of phase separation techniques for electrode engineering demonstrates systematic innovation in manufacturing approaches. He has received significant recognition for his contributions: Energy Technology Division Graduate Student Award sponsored by Bio-Logic for work on porous carbon electrodes As an active postdoctoral researcher, Jacquemond contributes to research supervision and project leadership within his groups. His current work focuses on membrane diagnostics and novel porous materials development, with emphasis on improving battery efficiency, longevity, and compatibility with organic electrolytes. He maintains strong industry and academic collaborations, evidenced by multiple co-authored publications with international research teams. He operates within Eindhoven University of Technology's cutting-edge research infrastructure, utilizing specialized facilities for membrane synthesis, electrode fabrication, and advanced characterization including neutron imaging capabilities through partnerships with major research facilities. His work bridges fundamental materials science with practical energy storage applications.
Hokeun Kim is an Assistant Professor in the School of Computing and Augmented Intelligence (SCAI) at Arizona State University (ASU), part of the Ira A. Fulton Schools of Engineering. He previously held positions at Hanyang University (2021-2023) and worked in industry roles at Google, LinkedIn, and HP Labs. His research focuses on cyber-physical systems, IoT security, and computer architecture, with a particular emphasis on safety and security aspects of time-sensitive systems. Education: Ph.D. in EECS, University of California, Berkeley (2017) M.S. in EECS, Seoul National University (2012) B.S. in Computer Science and Engineering, Seoul National University (2010) Research Interests: Kim’s work spans secure IoT frameworks, real-time embedded systems, and edge computing. He develops tools like the Secure Swarm Toolkit (SST) and Lingua Franca, addressing challenges in distributed system security, interoperability, and performance. Key Contributions: Authored over 30 peer-reviewed publications in top venues like IEEE Transactions, ACM Conferences, and DATE. Received the ACM/IEEE Best Paper Award (IoTDI 2017) and IEEE Micro Top Picks Honorable Mention (2017). Active in organizing conferences (e.g., DATE, FDL) and serves on technical committees for top journals/conferences. Teaching: Courses include Computer Architecture I/II, Real-Time Embedded Systems, and IoT design at both undergraduate and graduate levels.
