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Jeff PunchView profile

Professor

• Thermal Management
• Energy Management
• Mechanical Engineering
• +3 more

Prof. Jeff Punch is a Professor at the University of Limerick's School of Engineering and a researcher at the Bernal Institute. His expertise lies in micro-scale thermal and mechanical phenomena in electronic systems, with a focus on energy management and reliability physics. He leads the Stokes Laboratories and is a Funded Investigator with SFI’s CONNECT Centre. With over €10M in research funding, he supervises five postgraduate students and mentors one postdoctoral researcher. His work spans over 150 refereed publications and five patents, addressing thermal management challenges in electronics and microelectromechanical systems (MEMS). Education: PhD in Mechanical Engineering, 1994 Bachelor of Engineering, 1990 Research Interests: Thermal management of electronic systems Two-phase heat transfer Energy harvesting Reliability of solder joints Microfluidic cooling for photonic integrated circuits Key Contributions: Developed novel thermal characterization techniques for heat pipes and microfluidic systems Advanced vibration energy harvesting technologies for low-frequency applications Improved understanding of additive manufacturing materials for thermal control systems Labs & Teams: Stokes Laboratories (focusing on mechanical engineering science), CONNECT Centre (SFI-funded research on ICT and data-driven systems).

Guy-Bart StanView profile

Professor

• Synthetic Biology
• Systems Biology
• Control Theory
• +2 more

Guy-Bart Stan is a Professor in Imperial College London's Department of Bioengineering and Co-Director of the Centre for Synthetic Biology. His research develops control-theoretic approaches for synthetic biology, including biomolecular feedback systems, host-aware genetic circuits, and microbial consortia coordination. Stan pioneers resource-aware modeling of gene expression burden, RNA-based toggle switches, and stochastic control strategies for biochemical networks. He leads the UKRI AI-4-EB Consortium integrating AI and engineering biology. Awards include Royal Academy of Engineering Chair in Emerging Technologies and EPSRC Engineering Fellowship. Key innovations: Burden-driven feedback control Coarse-grained bacterial cell models Genetic stability analysis in cell populations SBOL data standards development Directs the Control Engineering Synthetic Biology group.

Jeffrey AckermanView profile

Teaching Professor

• Robotics
• Biomechanics
• Design Engineering
• +3 more

Jeffrey Ackerman is a Teaching Professor in the Department of Mechanical Engineering at Colorado School of Mines. He earned his PhD in Mechanical Engineering from Purdue University, where his research focused on the dynamics of legged locomotion with compliant suspension systems under heavy loads, funded by an NSF grant and the prestigious National Defense Science and Engineering Graduate Fellowship (NDSEG). His research spans robotics, biomechanics, design engineering, 3D printing, prototyping, and entrepreneurship. Ackerman incorporates real-world entrepreneurial experiences into project-based courses and advises the Mines Makers Society. He founded Prehensile Technologies, developing robotic assistive devices, and created the Eco Face Shield during COVID-19. PhD, Mechanical Engineering, Purdue University BS, Mechanical Engineering, SUNY at Buffalo Ackerman's publications focus on locomotion mechanics, energy efficiency in robotic systems, human biomechanics under load, and assistive device design. His work demonstrates consistent innovation in dynamic systems with applications in rehabilitation and mobility.

• Rotor Dynamics
• Mechanical Vibrations
• Structural Dynamics
• +3 more

Michael Klanner is an Associate Professor at the Institute of Mechanics at TU Wien. His research focuses on rotor dynamics, structural vibrations, and numerical methods for mechanical systems. He has contributed to advanced topics like fractional damping models, transient analysis of beams with nonlinear boundary conditions, and NVH optimization in hybrid battery housing designs. His work bridges theoretical models and experimental validation, particularly in rotor balancing techniques and viscoelastic material behavior. Klanner actively participates in international conferences such as ISMA and USD, presenting cutting-edge findings on rotor-bearing systems and wave-based methods. He leads a 2025–2029 FWF project on transient vibroacoustic problems, aiming to develop wave-based methodologies for complex structural dynamics challenges. His research emphasizes interdisciplinary applications in automotive and mechanical engineering, with a focus on improving dynamic system performance through advanced computational tools. Key research areas include rotor dynamics (e.g., flexible rotors, anisotropic bearings), structural acoustics (hybrid materials, damping properties), and numerical methods (Trefftz approach, polynomial chaos expansion). He collaborates internationally, addressing challenges like uncertainty quantification in parameters and experimental validation of numerical models. Klanner’s contributions span academic publications (34+ articles), conference presentations (33+), and applied engineering solutions in automotive and mechanical systems.

• Distributed Energy Resources
• Smart Power Systems
• Systems Modeling and Control
• +4 more

Dr. Ali Elrayyah is an Assistant Professor in the Department of Electrical and Computer Engineering at The University of Akron, USA. He holds a Ph.D. in Electrical Engineering (2013) from the same university, an M.Sc. in Systems Engineering from King Fahd University of Petroleum and Minerals (2009), and a B.Sc. in Electrical Engineering from the University of Khartoum (2003). His academic roles include teaching courses such as Dynamics & Controls of Power Electric Circuits. Dr. Elrayyah specializes in distributed energy resources, smart power systems, and systems modeling/control. His research focuses on microgrid design, renewable energy integration, and power electronics. He has contributed to projects such as a 100kW microgrid at The University of Akron and a PV-based microgrid for agricultural applications in Qatar. His work experience includes roles as a Principal Engineer at NEOM (2021–present), Scientist at Qatar Environment and Energy Research Institute (2014–2021), and Research Assistant at The University of Akron (2010–2014). He has also held teaching roles at King Fahd University and the International University of Africa. Dr. Elrayyah’s awards include recognition for outstanding graduate research (2013) and best performer in energy management (2018). He has authored over 60 peer-reviewed publications and holds multiple patents in power systems and renewable energy. His research interests span microgrid control strategies, grid stability, and energy harvesting innovations. Current projects at NEOM involve developing 100% renewable-based power grids and district energy systems.

Hossein SalehfarView profile

Professor

• Power Systems
• Renewable Energy
• Electric Vehicles
• +3 more

Hossein Salehfar is Professor at the University of North Dakota's School of Engineering and Applied Science (SEECS), specializing in power electronics, renewable energy integration, and smart grid technologies. His research encompasses electric vehicles, microgrid stability, and machine learning applications in energy systems. Recent publications focus on solar power forecasting, robust control of motor drives, EV-grid integration, and microgrid resilience. His work demonstrates strong emphasis on practical solutions for renewable energy adoption and grid modernization, with consistent application of advanced control strategies and computational methods across power systems.

• Energy Harvesting
• Control Systems
• Machine Learning
• +7 more

Kristina Vassiljeva is an Associate Professor at Tallinn University of Technology's Centre for Intelligent Systems, within the Department of Computer Systems. Her research focuses on energy harvesting, control systems, metastructures, and artificial intelligence applications. She explores topics like vibration suppression, nonlinear dynamics, and machine learning-driven solutions for building energy efficiency and smart grid integration. Her work bridges theoretical and applied domains, including hybrid optimization algorithms, piezoelectric compensation in metamaterials, and non-intrusive load monitoring. She has contributed to projects involving district heating control systems, pavement distress detection via deep learning, and real-time sound localization for virtual reality applications. Notable research themes include: energy savings in administrative and school buildings, predictive modeling for HVAC systems, and stability analysis in resonator-based systems. Her interdisciplinary approach integrates computational intelligence with mechanical engineering challenges.

David RogersonView profile

Lecturer

• Sports Nutrition
• Strength and Conditioning
• Exercise Physiology
• +7 more

David Rogerson is a Lecturer in the School of Sport and Physical Activity at Sheffield Hallam University . His work spans sports nutrition, strength and conditioning, and exercise physiology, with a focus on overtraining, recovery, and dietary interventions for cardiovascular health. He supervises doctoral students including Usman J.E. (2025), Bell L. (2025), and Kennerley C. (2024). His research also examines health behavior in African descent populations and microvascular function. Recent publications include studies on deloading practices in strength sports, overreaching protocols for adaptation, and digital health interventions . He has contributed to media outlets like The Telegraph and The Conversation , discussing topics such as vegan diets and athlete recovery. David Rogerson's work bridges academic advising and applied practice, with projects like A Semester in My Shoes exploring reciprocal mentoring in higher education. He has presented at conferences including UKAT Annual Conference 2023 and Framing the Future 2030 .

Nikolay DimitrovView profile

Researcher

• Wind Energy
• Structural Integrity
• Reliability Analysis
• +3 more

Nikolay Dimitrov is a Senior Researcher at the Department of Wind and Energy Systems , Technical University of Denmark (DTU). His work focuses on wind turbine structural integrity, reliability analysis, and data-driven optimization techniques. Active in Wind Energy and Structural Reliability research Developed open-source tools for Mann turbulence modeling and virtual load sensors Supervised multiple PhD students in projects related to floating wind turbines and uncertainty quantification His research spans surrogate modeling , fatigue load analysis , and environmental condition characterization for offshore wind turbines. Key contributions include machine learning-based load monitoring systems and frameworks for probabilistic design . Scientific recognition includes the Best Poster award (2019). Current projects involve reinforcement learning for wind farm control and federated digital twins for offshore wind energy .

Guanyu TianView profile

Assistant Professor

• Electrical Power Systems
• Grid-Interactive Energy
• Demand Response
• +1 more

Guanyu Tian is an Assistant Professor in the Department of Marine Engineering Technology at Texas A&M University, with a joint affiliation in Mechanical Engineering. His research centers on grid-interactive energy systems, power system demand response, and cybersecurity. He holds a Ph.D. in Electrical Engineering and an M.S. in Computer Science from the University of Central Florida, and an M.S. in Electrical Engineering from Rensselaer Polytechnic Institute. His work focuses on developing stochastic controllers for frequency regulation, HVAC flexibility quantification, and hybrid-learning algorithms for power system state estimation. His publications emphasize smart grid resilience and energy optimization under dynamic conditions.

Anitha SubburajView profile

Associate Professor

• Renewable Energy
• Control Systems
• Battery Energy Storage Systems
• +9 more

Dr. Anitha Subburaj is an Associate Professor of Electrical Engineering at West Texas A&M University (WTAMU), where she was appointed to the prestigious McFather Professorship of Engineering, Computer Science and Mathematics in 2022. She earned her M.E. in Applied Electronics (Anna University, India, 2007) and Ph.D. in Electrical Engineering (Texas Tech University, 2014), followed by post-doctoral research at Texas Tech before joining WTAMU. Research focus: Renewable energy systems Expertise: Battery storage & grid integration Leadership: McFather Professorship awardee Teaching: Electrical circuits & programming fundamentals Dr. Subburaj’s research bridges renewable energy with control systems and smart grid technologies . Her work on grid-forming inverters (2024) and machine learning for energy prediction (2023) reflects her commitment to advancing clean energy infrastructure. Articles span Li-ion economics (2020), VRB modeling (2019), and predictive grid analytics (2020), with publications in top journals like IEEE Transactions on Industry Applications and Renewable & Sustainable Energy Review . Scientific Recognition: McFather Professorship (2022): Recognizes her academic excellence in engineering disciplines Dr. Subburaj’s grant activities include NSF S-STEM initiatives for underrepresented students, though her primary grants focus on microgrid security and renewable integration projects. She leads the Human-Machine Teaming Laboratory at WTAMU, collaborating on smart grid prototypes and power electronics innovation with interdisciplinary teams.

Adria Junyent-FerreView profile

Associate Professor

• Power Electronics
• HVDC Transmission
• Renewable Energy Systems
• +2 more

Adria Junyent-Ferre is an Associate Professor in Power Electronics at Imperial College London's Department of Electrical and Electronic Engineering, part of the Faculty of Engineering. He holds a PhD from Universitat Politècnica de Catalunya (UPC) and has extensive experience in power electronics, HVDC transmission, and renewable energy integration. His research focuses on grid-forming inverter control, HVDC grids, and low-voltage distribution systems. He leads the RENGA project, addressing mini-grid expansion in developing regions. He is a Senior Member of IEEE and serves as an Associate Editor for IEEE Transactions on Power Delivery and Sustainable Energy. He teaches control of power electronic converters and real-time signal processing, and directs the Electrical and Electronic Engineering undergraduate program. Education: PhD (2011), MEng (2007) in Electrical Engineering from UPC. Affiliations: Control and Power Research Group, Energy Futures Lab, IEEE PES/CSS. Grants: RENGA project (Global Challenges Research Fund), multiple industry collaborations. Research interests span HVDC systems, modular multilevel converters, and grid resilience. He has authored over 100 publications, focusing on power electronics control, DC microgrids, and renewable integration. His work emphasizes practical applications in smart grids and sustainable energy distribution.

• Synthetic Biology
• Systems Biology
• Nonlinear Systems Analysis and Control
• +4 more

Prof. Guy-Bart Stan is a Professor of Bioengineering at Imperial College London, leading the Control Engineering Synthetic Biology group. He holds the Royal Academy of Engineering Chair in Emerging Technologies and co-directs the Imperial College Centre for Synthetic Biology. His research focuses on integrating AI and engineering principles to design robust biological systems, including projects like the UKRI-funded AI-4-EB Consortium. He has held academic roles at the University of Cambridge and visiting positions at MIT and ETH Zurich. His work bridges systems/control engineering with synthetic biology, addressing challenges in gene regulation, microbial consortia, and biomolecular circuit design. Education: PhD in Applied Sciences (Nonlinear Dynamical Systems) from the University of Liège, Belgium. Professional experience includes roles at Philips Research and research fellowships with the EPSRC and Marie Curie programs. Research interests span synthetic biology, systems biology, and nonlinear control theory applied to biological systems. Notable contributions include developing the SBOL Visual standard for genetic design representation and advancing resource-aware models of cellular systems. His labs and collaborations involve interdisciplinary teams in the Imperial-X Life initiative and the Industrial Biotechnology Hub. Scientific achievements include awards like the EPSRC Engineering Fellowship and recognition for contributions to computational biology. He advises on grants and supervises doctoral students in synthetic biology, with a focus on translating research into clinical and industrial applications.

Hua WangView profile

Professor

• Integrated Circuits
• RF/mm-Wave/THz Systems
• AI-Assisted Design
• +3 more

Prof. Hua Wang is a Full Professor at ETH Zürich's Department of Information Technology and Electrical Engineering (D-ITET) and Deputy Head of the Integrated Systems Laboratory. He leads the Integrated Devices, Electronics, and Systems (IDEAS) Group and is a faculty member of the ETH Quantum Center. Prior roles include Founding Director of the Georgia Tech Center of Circuits and Systems and Associate/Assistant Professor at Georgia Tech's School of ECE. His research focuses on silicon and beyond-silicon integrated circuits for communication, sensing, and bioelectronics. Notable contributions include energy-efficient power amplifiers, mm-Wave systems, and AI-assisted design methodologies. Education: PhD (2009), MS (2007) - California Institute of Technology; BS (2003) - Tsinghua University. Research interests span: RF/mm-Wave/THz integrated systems AI-driven circuit design Bioelectronic sensors and actuators 6G communication technologies His 2025 publications highlight advancements in phased arrays, power amplifiers, and bioelectronic sensors. Awards include IEEE Fellow (2022), Qualcomm Faculty Awards (2021, 2020), and multiple student paper recognitions. Advising: Over 20 student paper awards across IEEE RFIC/IMS/CICC conferences. Labs: IDEAS Group (ETH), GEMS Lab (Georgia Tech). Courses taught include Radio-Frequency Electronics, CMOS for Biosensing, and Antenna Design.

Mario PaoloneView profile

Professor

• Power Systems
• Smart Grids
• Renewable Energy Integration
• +5 more

Mario Paolone is a Full Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) , leading the Distributed Electrical Systems Laboratory (DESL) within the School of Engineering (STI). His work focuses on smart grid technologies, power system dynamics, and renewable energy integration. Chair of DESL Teaching roles in Electrical and Electronic Engineering PhD Program Committee Member, Doctoral Program Energy EPFL Academic Strategic Committee Member His research spans real-time monitoring , optimal grid operation , and advanced protection techniques for power systems. Key contributions include PMU-based situational awareness and convex optimization methods for Active Distribution Networks. Recent work explores hybrid AC/DC grids , linear induction motors for transportation, and machine learning applications in energy systems. Notable scientific awards include: IEEE Fellow (2022) Richard B. Schulz Best Paper Awards (2017, 2018, 2020) IEEE EMC Technical Achievement Award (2013) He has supervised numerous PhD theses on grid-aware control , synchrophasor technologies , and renewable energy systems , with research sponsored by the Swiss National Science Foundation , Swiss Electric Research , and the European Union .