Euzeli Dos Santos is an Associate Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University, Indianapolis. His expertise spans power electronics, electric vehicle technologies, and advanced energy systems. He holds a courtesy appointment in the same department and leads research initiatives focused on capacitorless resonant converters, high-torque electric machines, and nanotechnology-enhanced power devices. Research interests include optimizing power converter topologies, developing efficient wireless charging solutions for electric vehicles, and integrating graphene-based materials into semiconductor devices. His work emphasizes practical applications in renewable energy systems, microgrids, and grid stability. Dos Santos has contributed extensively to multilevel converter design, control strategies for power electronics, and transformerless power supply architectures. Publications highlight innovations in capacitorless DC-DC converters, HIL simulation frameworks for distributed energy resources, and thermal optimization of IGBTs using nanomaterials. His research bridges theoretical advancements with real-world challenges in energy conversion and transportation electrification.
Roles & Affiliations Dr. Yunjie Yang is a Senior Lecturer (equivalent to Associate Professor) at the School of Engineering , University of Edinburgh. He is affiliated with the Edinburgh Futures Institute (EFI), Edinburgh Generative AI Laboratory (GAIL), and Edinburgh Centre for Robotics. He previously held the Chancellor’s Fellow in Data Driven Innovation (2018–2023) and Bayes Innovation Fellow (2023–2024). Education PhD in Engineering Electronics (2018), University of Edinburgh MSc in Control Science & Engineering (2013), Tsinghua University BEng in Measurement & Control Engineering (2010), Anhui University Research Interests His research focuses on AI-driven sensing and imaging, machine learning, digital twins, and soft robotics. Specific areas include: Electrical impedance tomography (EIT) for medical imaging Soft robotic perception and tactile sensing Medical devices and wearable technologies Data-driven inverse problems and reconstruction algorithms Awards & Fellowships 2024 IEEE J. Barry Oakes Advancement Award ERC Starting Grant Fellowships: Young Academy of Europe (FYAE), International Society for Industrial Process Tomography (FISIPT), and Higher Education Academy (FHEA) 2015 IEEE I&M Society Graduate Fellowship Award Advising & Grants Dr. Yang supervises PhD students in robotics, sensing, and medical imaging (e.g., Huazhi Dong). He leads projects such as the SELECT project on soft robot perception and Real-time Bedside Medical Imaging. His research is funded by grants from the ERC, Medical Research Council, and the European Commission. Research Group He heads the SMART Group , focusing on Sensing, Machine Learning, and Robotics. The group develops technologies like modular soft wearable gloves and digital twin frameworks for multiphase flow imaging.
Björn Hartmann is an Associate Professor in the Department of Electrical Engineering and Computer Science (EECS) at the University of California, Berkeley . His research focuses on Human-Computer Interaction (HCI) , Artificial Intelligence (AI) , and Programming Systems , with a particular emphasis on tools for design, end-user programming, and crowdsourcing systems. He is affiliated with the Berkeley Institute of Design , Jacobs Institute for Design Innovation , and CITRIS , where he explores embodied cognition in AR/VR environments through systems research. Education: Ph.D., Computer Science, Stanford University (2009) MSE, Computer and Information Science, University of Pennsylvania (2002) BSE/B.A., Digital Media Design/Communication, University of Pennsylvania (2001) His research spans creating interactive systems like 3D scene editors , crowdsourced feedback platforms , and AI-driven design tools , often combining controlled experiments with systems research . Recent publications highlight LLM applications in code design, VR-based creative workflows, and ethical frameworks for AI in art-making. His work has earned NSF CAREER and Sloan Research fellowships, as well as Best Paper awards at UIST and CHI. Key scientific contributions include developing methodologies for interactive vector graphics , asymmetric communication in VR , and AI-assisted UI feedback . He has also led educational initiatives such as the Berkeley Certificate in Design Innovation and courses like CS 160 and CS 260A .
Nicola Delmonte is an Associate Professor in the Department of Engineering and Architecture at the University of Parma, Italy. His academic and research career has been centered on power electronics, renewable energy systems, smart grids, and the reliability of electronic components, with applications in energy conversion and IoT technologies. PhD in Electronic Engineering, University of Parma (2003–2005) Master Degree in Electronic Engineering, University of Parma (1995–2002) His research interests focus on the design, modeling, and reliability of power electronic systems for renewable energy integration. He has led and contributed to numerous research projects including the EU-funded H2020 Sharc25, MARINET’s MORE project on ocean energy, and regional initiatives like FIL 2014 on DC Nano-Smart-Grids. His work bridges theoretical modeling with practical innovation, including the development of energy-harvesting piers and wireless monitoring systems for agriculture. The recent publications reflect a strong trend in energy systems modeling, thermal management of power electronics, and advanced instrumentation. Key themes include FEM-based thermal design, adaptive control for battery charging, laboratory-scale geophysical imaging, and integrated building energy models. These works span disciplines such as power electronics, renewable energy, and applied physics. Best Poster Award at GE 2012 for thermal modeling of converters 2nd place in the 2011 International Competition on Renewable Energy for Smaller Islands with the 'e-piers' concept Delmonte has supervised research teams and served as principal investigator on multiple grants, including projects funded by the European Commission, Regione Emilia Romagna, and national research programs (PRIN, COFIN). He teaches a range of courses in electronics and energy conversion across undergraduate and graduate programs in Computer, Electronic, and Communications Engineering, as well as Mechanical Engineering. He is a member of IEEE and the Order of Engineers of Parma, and has acted as a reviewer for journals such as Microelectronics Reliability and Transactions on Device and Materials Reliability. He is involved in experimental and applied research labs focusing on power electronics, smart grids, and renewable energy systems. His team has developed platforms for high-frequency characterization of semiconductor modules and testing of ocean energy harvesting devices. Current efforts include the development of 3D-printed cooling solutions and intelligent control systems for modular power converters.
Stefano Mauro is a Full Professor at the Polytechnic University of Turin's Department of Mechanical and Aerospace Engineering (DIMEAS). He leads the Power Electronics Innovation Center (PEIC) and serves as Scientific Advisor for the Ferrero Partnership Agreement. Research interests include collaborative robotics, digital twin systems, hydrogen-powered technologies, space robotics, and pipeline engineering Current projects: IDRA (Inflatable Robotic Arm), GRAVITAS (Satellite Testing), MUSAPOEM (Multisatellite Operations) Recent research trends focus on inflatable robotics for orbital applications , hydrogen infrastructure modeling , and advanced control systems for space and industrial use . His work spans both theoretical and applied domains across aerospace, automotive, and energy sectors. Scientific contributions : 12+ patents in mechatronics and space systems Member of SIRI - Italian Robotics Association (1998-2004) Lead investigator for 20+ funded research projects Advising & Commercial Collaborations Supervises 13 PhD students in mechanical engineering disciplines. Collaborates with 15+ commercial entities including: Ferrero Technical Services (2022-2027) Stogit S.p.A. (gas pipeline analysis) ESA (European Space Agency) partnerships
Joshua Atkinson is an Assistant Professor in the Department of Civil and Environmental Engineering and the Omenn-Darling Bioengineering Institute at Princeton University. His interdisciplinary research program integrates synthetic biology, protein engineering, and electrochemistry to understand and control microbial electron transport across biological scales—from intracellular metabolic circuits to ecosystem-level geochemical cycles. Dr. Atkinson earned his PhD in Systems, Synthetic, and Physical Biology from Rice University in 2019, where he developed ligand-gated protein switches in Escherichia coli . He was an NSF Postdoctoral Fellow at the University of Southern California and Aarhus University, focusing on electromicrobiology and electron transport in microbial systems. PhD, Systems, Synthetic, and Physical Biology, Rice University, 2019 BS, Microbiology, University of Michigan, 2012 His research aims to decode the biophysical principles underlying electron transfer in proteins and microbial communities and to engineer novel biotechnologies for sustainability, environmental monitoring, and bioelectronics. Key research themes include programming electroactive proteins, building living electronic devices, and manipulating microbial ecosystems for environmental remediation. The Atkinson Lab develops synthetic electron transport chains, protein switches, and biohybrid materials for applications in sensing, catalysis, and computation. His recent work, published in Nature , ACS Synthetic Biology , and Nature Chemical Biology , demonstrates breakthroughs in real-time bioelectronic sensing of pollutants, light-induced patterning of biofilms, and engineered living electronic components. These studies reveal a strong focus on modular, tunable biological systems that interface with electronic materials to create responsive, low-power devices. Scientific Awards: NSF Postdoctoral Research Fellowship in Biology (2020) Best Presentation, ISMET North American Meeting (2018) Lodieska Stockbridge Vaughn Fellowship (2018) DOE Office of Science Graduate Research Fellowship (2017) NSF Graduate Research Fellowship (2014) Dr. Atkinson actively mentors graduate and undergraduate researchers through independent studies, senior theses, and funded summer programs such as BE-SURE and High Meadows Environmental Internship. He has secured research support through prestigious fellowships and collaborates with leading scientists in bioengineering and electromicrobiology. The Atkinson Lab emphasizes diversity, peer mentorship, and interdisciplinary training in engineering biology. The lab is structured around three interconnected research thrusts: (1) Cells – engineering electron flow in metabolic circuits; (2) Devices – integrating engineered cells with electroactive materials for biosensing and catalysis; and (3) Ecosystems – controlling microbial community structure and geochemical cycles using electron transfer principles. Current lab members include postdoctoral fellows, PhD students, and undergraduates from diverse scientific backgrounds.
Александар С. Станимировић serves as an Associate Professor in the Department of Computer Science at the Faculty of Electronic Engineering, University of Niš, appointed in 2024 within the field of Computer Science and Informatics. His academic foundation stems entirely from this institution, where he has maintained continuous affiliation since undergraduate studies. His educational journey includes: Bachelor's degree (Diplomirao) in Electrical Engineering and Computing (2000) Master's degree (Magistrirao) in Electrical Engineering and Computing (2006) Doctorate (Doktorirao) in Electrical Engineering and Computing (year unspecified) Research focuses intensely on Geographic Information Systems with specializations in semantic interoperability, ontology mapping, and component-based spatial frameworks. His work bridges theoretical computer science with practical applications in utility network management and emergency response systems, emphasizing data integration challenges in heterogeneous environments. Early-career publications demonstrate consistent innovation in making geospatial systems interoperable through semantic technologies. Analysis of his 2004-2007 publications reveals a cohesive trajectory: initial work established component-based GIS architectures (2004), evolving toward semantic integration solutions (2005-2006), and culminating in domain-specific implementations for power networks and disaster management (2007). This progression shows increasing sophistication in handling real-world spatial data interoperability problems while maintaining theoretical rigor in ontology engineering. He currently participates in three active research initiatives comprising two national projects and one international collaboration, indicating sustained research momentum beyond his early publication period. While project specifics aren't detailed, their existence confirms ongoing scholarly activity aligned with his GIS expertise. No formal advising relationships or laboratory leadership roles are documented in the available materials.
Frank Hinrichsen is a Professor in Electrical Power Engineering at Flensburg University of Applied Sciences since March 2014. His work focuses on power electronics , medium-voltage converters , and grid integration of renewable energies . He has industry experience in hardware development for renewable energy converters. PhD in resonant inverters from Technical University of Braunschweig Former head of hardware development at a Flensburg-based renewable energy company Research interests include: Power electronics for renewable energy systems Drive engineering and control circuits High-voltage converter technologies His publications emphasize modular multilevel converters , SiC semiconductor applications , and resonant inverter designs for renewable energy systems. Key themes include grid stability, industrial power conversion, and scalable energy technologies. He leads the E³Lab (Embedded Systems) and advises students in sustainable energy systems. No scientific awards were explicitly mentioned in the texts.
Aleksandr Sergeyev is a Professor in the College of Computing at Michigan Technological University , with affiliations in the Electrical and Computer Engineering department. He serves as Graduate Program Director for the MS in Mechatronics and Director of the FANUC Certified Industrial Robotics Training Center. PhD in Electrical and Computer Engineering, Michigan Tech MS in Physics, Michigan Tech BS in Electrical Engineering, Moscow University of Electronics and Automation Research Interests focus on Mechatronics Systems , Industrial Robotics , Robotic Vision Systems , Automation and Controls , and Optics/Image Processing . He actively develops curriculum frameworks for robotics education and explores complex control systems in industrial applications. Recent publications demonstrate expertise in robotics education , curriculum development , PLC systems , robotic vision , and industrial automation . His work emphasizes interdisciplinary collaboration and industry partnerships . Professional affiliations include membership in SPIE , IEEE , and ASEE . He collaborates with industry leaders like GM , Ford , FANUC Robotics , Edmund Optics , and Bosch . Grants and Funding : • Development of the Teleoperated Robotic Workcell ($80,775) • NSF-sponsored robotics education partnership ($702,324) • Industrial Automation and Control Laboratory ($255,000) • Collaborative projects with major corporations including FORD ($20,000), GM, and BAE ($48,500)
Holger Borcherding is a Professor of Power Electronics, Electrical Drive Technology, and EMC at the Ostwestfalen-Lippe University of Applied Sciences (TH-OWL) . As a board member of the Institute for Energy Research (iFE) and the Open Direct Current Alliance (ODCA) , he leads research on intelligent energy systems and industrial DC networks. His Power Electronics and Electrical Drive Technology working group focuses on energy-efficient solutions for industrial applications, including the DC-INDUSTRIE projects. Education: Studied Electrical Engineering at the University of Hanover (1985-1991) PhD in Power Electronics from the University of Hanover (1999) Research interests span industrial DC grids, fast-switching power semiconductors, highly integrated converters for electromobility, ultra-fast electronics prototyping, EMC optimization, and 3D electronics. His work bridges theoretical advancements with practical implementation, particularly in manufacturing and sustainable energy systems. Publication trends show expertise in DC microgrid stability, capacitor lifespan modeling, converter design, and energy efficiency improvements. Key subfields include resonant oscillations, power quality, industrial automation, and semiconductor reliability. Scientific awards: 2013 Research Prize, TH Ostwestfalen-Lippe 2014 Transfer Prize OWL (IHK Lippe zu Detmold and IHK Bielefeld) 2019 IEEE ICDCM Best Paper Award 2024 Transfer Prize, TH Ostwestfalen-Lippe Supervision and grants include PhD mentorship and leadership in projects like DC-INDUSTRIE 2 , IDE3AL , and UmSiCht . He has secured funding for innovations in DC-powered busbars, 3D circuit board construction, and self-optimizing drilling systems. Labs and teams include the iFE Institute at TH-OWL, where he collaborates with research associates such as Benjamin Jerwan, Simon Cepin, and Tim Stuckmann. He also works with industry partners like Lenze SE and academic alliances including the Mechatronics Center Hannover and the National Platform for Electromobility.
Maximilian Lammersen is a researcher at the Institute for Future Energy (iFE) at OWL University of Applied Sciences and Arts since 2022. He holds a Master of Engineering (M.Eng.) degree and focuses on modular mechatronic systems, testing, and optimization. Education: Bachelor in Mechatronics/Automation (FH Bielefeld, 2019), Master in Applied Automation (FH Bielefeld, 2022). Employment: Prior to his current role, he worked as a hardware/software developer at Hörmann KG Antriebstechnik after completing an apprenticeship as an electronics technician. Research Interests: His work centers on structuring concepts for modular mechatronic systems, operating point selection methodologies, and sustainable electromobility solutions. He contributes to projects like NachLadBaR , which explores eco-friendly charging electronics through power electronics and recycling strategies. Affiliation: iFE Institute, TH OWL, Campusallee 12, Lemgo, Germany.
Dirk Brakensiek is a Professor at the Georg Agricola University of Applied Sciences since 2018, specializing in electrical engineering, information technology, and industrial engineering. His office is located at G7 R110 with contact email Dirk.Brakensiek@thga.de and phone +49 234 968-3339. He earned his electrical engineering degree with distinction at RWTH Aachen University, receiving the Springorum Medal for diploma excellence, Otto Junker Prize for academic achievements, ABB Prize for an outstanding energy technology thesis, and a scholarship from the Professor Dr. Koepchen Study Foundation of RWE. His research spans electrical energy converters and drives, electrical machines, decentralized energy technology, power electronics, magnetic levitation technology, and control systems. This work bridges theoretical electrical engineering with industrial applications in textile machinery and transportation systems, emphasizing practical implementation of high-speed drives and magnetic levitation solutions. His publication record from 2000-2004 reveals a concentrated focus on linear drive systems for magnetically levitated transportation, featuring simulation models, controller design, and optimization of permanent-magnet machines. These works demonstrate consistent application of electrical machine theory to solve complex industrial automation challenges. His scientific recognition includes: Springorum Medal for diploma distinction Otto Junker Prize for academic excellence ABB Prize for energy technology thesis Professor Dr. Koepchen Study Foundation scholarship While no academic advisees are listed at THGA, he previously trained IT specialist trainees at Saurer.Schlafhorst in application development under IHK Aachen certification. His industry experience includes developing high-speed BLDC drives (200,000 rpm) and embedded systems for textile machinery, though specific research grants aren't documented. His research operates at the intersection of academia and industry, notably through Saurer.Schlafhorst collaborations where he led Autocoro product line development. Current work continues this applied approach in energy technology, particularly in decentralized systems and power electronics for industrial applications.
Shane M. Parker is an Associate Professor at Case Western Reserve University , specializing in computational and quantum chemistry. His research focuses on developing electronic structure theories to predict photochemical reaction mechanisms and advancing technologies for light-driven chemical synthesis and power generation. Education: B.S. in Chemistry & Mathematics (2008) from the University of Florida; Ph.D. in Chemistry (2014) from Northwestern University; Postdoctoral Fellow (2014–2019) at the University of California, Irvine. His work combines Time-Dependent Density Functional Theory (TDDFT) , surface hopping , and non-adiabatic dynamics to model photochemical processes in molecular materials. Key applications include RNA metabolic labeling , γ-graphyne synthesis , and light-controlled reactions . Recent publications highlight advancements in electronic structure algorithms , ultrafast photodynamics , and carbon nanomaterial characterization . His group actively develops open-source simulation tools for exploratory photochemical research. Professor Parker welcomes postdoctoral, graduate, and undergraduate students to join his research team. Contact him via shane.parker@case.edu . His laboratory collaborates with experimentalists to validate theoretical predictions through spectroscopic measurements and numerical experiments , bridging computational and empirical approaches to solve complex photochemical challenges.
Claudia Lopez Camara is an Assistant Professor at the Mechanical Engineering Department of Eindhoven University of Technology (TU/e) , appointed in January 2024. Previously, she held postdoctoral positions at the University of Duisburg-Essen (2021-2023) and completed her Ph.D. in Numerical Combustion at the University of California, Irvine (2020). Education : BSc in Chemical Engineering (University Rovira i Virgili, Spain), MSc in Nanotechnology and Nanoscience (University Rovira i Virgili) Her research focuses on gas-phase synthesis of nanomaterials , particularly graphene and mesoporous silica nanoparticles for sensors and energy applications . Current work explores experimental methods including flame, plasma, and hot-wall reactors for nanomaterial production. Recent publications highlight her expertise in nanoparticle morphology control and composite sensor development , with 10 Scopus-indexed works between 2015-2025. Key collaborations exist with institutions including KAUST, LLNL, and UW-Madison . Scientific Awards & Funding Undergraduate Mobility Balsells Fellowship Grant of Excellence Catalunya-La Pedrera NSF Intern Fellowship DFG research unit FOR2284 & SPP2289 International Max Planck Research School SurMat As Principal Investigator of the Group López Camara at EIRES Research , she leads projects involving scalable aerosol-based synthesis and self-folding graphene mechanisms . Her work combines numerical modeling with experimental validation to advance nanomaterials engineering.
Professor Ahmet Mete Vural is a faculty member at Gaziantep University, Faculty of Engineering , specializing in Electrical and Electronics Engineering . He holds a PhD in Electrical Engineering from Çukurova University (2012) and has taught courses like Power System Dynamics, Advanced Power Conversion, and High Voltage Techniques since 2004. Education: PhD (2012), MSc (2001), BSc (1999) from Gaziantep University His research focuses on power electronics , modular multilevel converters , renewable energy integration , and smart grid technologies . He has developed innovative control schemes for battery storage systems and STATCOM devices, with a strong emphasis on power quality improvement and oscillation damping . Recent publications analyze advanced control strategies for modular multilevel converters and renewable energy systems . His work combines theoretical modeling with experimental validation, particularly in STATCOM design and high voltage techniques . Professor Vural supervises 28 master's and 7 doctoral theses , including topics on wind energy conversion systems, battery storage, and power flow control. He serves as an editor for Turkish Journal of Electrical Engineering and International Transactions on Electrical Energy Systems .
