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Ramazan ÇağlarView profile

Associate Professor

• Electric Power Distribution
• Reliability Assessment
• System Reliability
• +11 more

Ramazan Çağlar is an Associate Professor in the Department of Electrical Engineering at Istanbul Technical University, College of Engineering. His research focuses on modern power systems, including microgrids, renewable energy integration, reliability assessment, and intelligent control of distributed energy resources. He actively publishes in high-impact journals and leads research initiatives in smart grid technologies. Research Interests: His work spans electric power distribution, system reliability, microgrid dynamics, induction motors, and power transmission. He integrates advanced computational methods such as machine learning, Bayesian inference, and optimization algorithms to solve complex problems in energy systems. His recent focus includes fault prediction using drones, energy forecasting with neural networks, and optimal allocation of distributed generators. Recent Research Trends: Analysis of his latest publications (2022–2024) reveals a strong trend toward data-driven and AI-enhanced modeling in microgrids and renewable integration. He combines physical models with machine learning (e.g., neural ODEs, autoencoders, LSTMs) and applies multi-objective optimization techniques like multiverse optimization. His work increasingly emphasizes uncertainty quantification, real-time control, and sustainable energy solutions. Scientific Projects: Completed: Reliability Evaluation of Power Station Designed for DC-Fed Traction Systems in Light Rail Transit (2011–2021). Advising and Grants: He is currently supervising 14 theses in progress, indicating an active role in mentoring graduate students. While specific grant details are limited, his long-running project funded by ITU's BAP (Scientific Research Projects) suggests sustained research funding. His collaborations include international researchers, particularly in Africa and the Middle East. Labs and Research Teams: Though not explicitly named, his research activities suggest leadership in a power systems and smart grid laboratory at ITU, focusing on reliability, optimization, and AI applications in energy infrastructure.

• Computational Intelligence
• Intelligent Control
• Machine Learning
• +7 more

Rui Araújo is an Associate Professor at the University of Coimbra (UC) since 2024, with a Habilitation in Electrical Engineering and Intelligent Systems. He is a Senior Member of IEEE and founding member of the Portuguese Institute for Systems and Robotics (ISR-Coimbra) . His career spans over 25 years in academia and research. BSc (1991), MSc (1994), PhD (2000), and Habilitation (2024) - all from UC Research interests focus on computational intelligence , intelligent control , and machine learning , with applications in robotics, automation, energy systems, and industrial processes. Key subtopics include fuzzy systems, neural networks, optimization algorithms, and real-time control architectures. Recent publications demonstrate expertise in deep learning for additive manufacturing , fuzzy control of photobioreactors , and machine learning for wastewater treatment . His work integrates edge computing and evolving systems for industrial environments. Scientific recognition includes: 2005: Fumio Harashima Best Paper Award (ETFA) 2018: Best Paper Award (ICELTICS) 2021: Best Paper Award (INDIN) 2023: Honorable Mention (SIMPEP) Active in research grants (49 total), including EVAI Charge (electric vehicle AI), RELIABLE (robotic safety systems), and InGestAlgae (microalgae production). Supervises research teams at ISR-Coimbra and collaborates with European institutions.

Yildirim HurmuzluView profile

Professor

• Robotics
• Control Systems
• Dynamics and Vibrations
• +3 more

Yildirim Hurmuzlu holds the dual distinguished professorships of Altshuler Distinguished Professor and University Distinguished Professor within the Department of Mechanical Engineering at Southern Methodist University. His primary affiliation is explicitly stated with his office located in Embrey 301C, confirming active faculty status in mechanical engineering research and instruction. His research interests focus on Robotics, Control Systems, and Dynamics and Vibrations, particularly examining rigid body collision mechanics, bipedal locomotion stability, and magnetic actuation for micro-scale robotics. Key specialties include impact dynamics in kinematic chains, nonlinear control of inverted pendulum systems, haptic interface design for medical applications, and aerospace robotics for space debris mitigation. This work bridges theoretical dynamics with practical implementations in robotic inspection systems and human digital twin technologies. Recent publications (2020-2025) reveal a strategic shift toward magnetic millirobotics for industrial inspection and modular assembly, while maintaining foundational work in impact dynamics. Aerospace applications now dominate new research strands, especially human digital twins for manufacturing quality assurance and tethered satellite control for space debris removal. Medical haptics remains a consistent theme with continued development of virtual palpation systems. Awards include: Altshuler Distinguished Professor University Distinguished Professor No student advising records or grant funding details were provided in the source material. His departmental affiliation confirms leadership in robotics and dynamics research without explicit mention of labs or teams, though his work implies substantial involvement in experimental robotic systems development through repeated references to design, control, and implementation.

John LinhossView profile

Assistant Professor

• Animal Housing Management
• Poultry House Design
• Environmental Control Systems
• +7 more

Dr. John Linhoss is an Assistant Professor in the Department of Biosystems Engineering at Auburn University, where he joined in 2021. Previously, he spent 8 years at Mississippi State University as an Extension Associate and Assistant Extension Professor. His research focuses on precision animal management, poultry housing design, environmental control systems, and spatial statistics. He leads a $298,000 USDA-funded grant evaluating natural vs. artificial lighting impacts on broiler welfare and environmental outcomes. Education: Ph.D. in Engineering Technology, Mississippi State University M.S. in Soil & Water Science, University of Florida B.S. in Biology, Birmingham-Southern College Research Interests: Optimization of lighting conditions in poultry houses Development of biochar-based litter amendments Sensors and instrumentation for precision farming Spatial modeling for environmental control systems Animal welfare through environmental design LCA (Life Cycle Assessment) frameworks for sustainable poultry production His recent work emphasizes interdisciplinary collaboration with Poultry Science departments, the National Poultry Technology Center (NPTC), and USDA ARS to address industry challenges. He actively seeks graduate students with hands-on experience in precision livestock farming, sensors, or animal housing management. Grants and Advising: $298K USDA grant on broiler lighting strategies (2023–present) Advised Chris Marty and Matt Rowland (MS graduates, 2021) and currently collaborates with post-doctoral researcher Maryam Mohammadi-Aragh Focuses on applied research with industry partnerships Labs/Teams: Collaborates with Auburn University’s National Poultry Technology Center (NPTC), Poultry Science Department, and USDA ARS Poultry Research Unit on environmental and engineering solutions for poultry production systems.

Yifan ZhouView profile

Assistant Professor

• AI-Driven Smart Grid
• Quantum Computing
• Power System Dynamics and Stability
• +4 more

Yifan Zhou is an Assistant Professor in the Department of Electrical and Computer Engineering at Stony Brook University. He holds a PhD (2019) and B.E. (2014) in Electrical Engineering from Tsinghua University. His research focuses on AI-driven smart grids, quantum computing, and formal analysis of power systems, emphasizing resilience and renewable energy integration. He teaches courses on electromechanical energy converters, electric machinery, and AI-driven smart grids. He advises PhD students in power system dynamics and quantum computing applications. Education: Ph.D. in Electrical Engineering, Tsinghua University, 2019 B.E. in Electrical Engineering, Tsinghua University, 2014 Research Interests: Integrates machine learning and quantum computing for power system stability, microgrid operations, and verifiable smart grids. Highlights include quantum ML for stability assessment and neural dynamic equivalence modeling. Awards: 2023 NAI Young Academic Inventor’s Award (for quantum computing in power systems) 2021 Outstanding Reviewer for IEEE Transactions on Power Systems 2014 Tsinghua University Outstanding Thesis Award Grants & Mentoring: Supervises PhD students (e.g., Xuguo Fu, Sijia Yu) and leads projects on quantum-enabled power analytics and learning-based verification. Advises on federal grants for smart grid resilience. Labs/Teams: Leads research in quantum power flow analysis and AI-driven control systems within the Electrical and Computer Engineering department.

Baoshan HuangView profile

Professor

• Civil Engineering
• Materials Science
• Pavement Engineering
• +7 more

Baoshan Huang is a Professor in the Department of Civil and Environmental Engineering at the University of Tennessee, where he has served since January 2002. His research focuses on sustainable infrastructural materials, pavement engineering, and geotechnical systems. He leads a robust research program funded by federal and state agencies including the Federal Highway Administration (FHWA), Tennessee Department of Transportation (TDOT), and the U.S. Department of Transportation (USDOT). His educational background includes a PhD from Louisiana State University (2000), and both an MS (1988) and BS (1984) from Tongji University, China. He is a registered professional engineer in Louisiana. Huang’s research interests span infrastructural materials , including asphalt and concrete characterization and multi-scale modeling, pavement engineering covering design, testing, maintenance, and asset management, and geotechnical engineering involving soil improvement and deep foundations. His work emphasizes sustainability through recycling of reclaimed asphalt pavement (RAP), waste tire rubber, and industrial byproducts. The recent publications highlight a strong trend in sustainable pavement materials, with a focus on recycling (RAP, RAS, tire rubber), bio-based modifiers (bio-char), and performance evaluation using advanced rheological and mechanical testing. Many studies integrate statistical modeling for pavement performance and safety analysis, particularly in transportation safety and crash frequency prediction. He has held significant professional service roles, including: Associate Editor, ASCE Journal of Materials in Civil Engineering Chairman, ASCE Bituminous Materials Committee (2010–2012) Steering Member, ASCE Pavement Committee TRB Committee Member (AFK30, AFK40) Faculty Senator, University of Tennessee (2010–2013) Huang has advised numerous graduate students and secured over $6.5 million in research funding. His collaborative work with researchers like X. Shu and Q. Dong reflects an active, team-based research environment. His lab engages in experimental characterization of materials using techniques such as GPC, FTIR, neutron scattering, and discrete element modeling. While no formal awards are listed, his extensive publication record and leadership roles underscore his academic impact.

Timothy ReissmanView profile

Associate Professor

• Human-Machine Interfaces
• Assistive Technology
• Mechatronics
• +8 more

Timothy Reissman is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Dayton’s School of Engineering. He is a full-time faculty member actively engaged in research, teaching, and professional service. His work bridges engineering and healthcare, focusing on human-machine interfaces and assistive technologies. Education: Ph.D., Mechanical Engineering, Cornell University, 2013 M.S., Mechanical Engineering, Cornell University, 2008 B.S., Mechanical and Aerospace Engineering, Cornell University, 2002 Dr. Reissman's research centers on developing mechatronic systems to improve medical and assistive devices such as prostheses, exoskeletons, rollator walkers, and canes. His work integrates biomechanics, control systems, and wearable technology. He maintains clinical collaborations with physical therapy faculty and hospitals in the Dayton area, ensuring real-world relevance. His group also investigates coupled electromechanical systems and energy harvesting for autonomous devices. His recent publications span from 2025 to 2020, showing sustained productivity in interdisciplinary areas including rehabilitation engineering, robotics, smart thermostats, and engineering education. The research demonstrates a strong trend toward human-centered design, sensor integration, and the application of virtual reality and wearable sensors in mobility assessment. Scientific Awards: University Teaching Fellow, University of Dayton, 2017–2018 Kern Entrepreneurial Engineering Network Faculty Fellow, 2017 National Institutes of Health NRSA T32 Postdoctoral Fellow, 2013–2015 Intelligence Community Research Fellow, Department of Defense, 2010–2012 Dr. Reissman advises student research and teaches courses such as Mechatronics, Robotics, and Dynamic Systems. He has secured research grants related to assistive technology and engineering education, including NSF IUSE grants. He serves as an Associate Editor for the Journal of Assistive Technology and is active in ASME, IEEE, and ASEE. His work is supported by strong institutional and clinical partnerships. He leads a research group focused on autonomous systems and human augmentation, with access to labs in Kettering Laboratories. His team develops novel solutions such as smart prosthetic liners, energy-harvesting structures, and feedback devices for mobility aids. Future work includes expanding the use of VR and AI in rehabilitation and enhancing the functionality of wearable assistive devices.

David M W PowersView profile

Professor

• Artificial Intelligence
• Cognitive Science
• Robotics
• +4 more

Professor David M W Powers is a leading academic at Flinders University of South Australia, holding the Professor of Computer and Cognitive Science position. He serves as Visiting Professor at Beijing University of Technology and contributes extensively to editorial and program committees, including as Editor-in-Chief of Springer's Cognitive Science and Technology series. PhD in Computational Psycholinguistics (UNSW) Founding President of ACL SIGNLL and CoNLL conference series Recipient of 15+ major research grants including multiple ARC and NSF awards His research spans Artificial Intelligence, Cognitive Science, Robotics, and Biomedical Engineering with a focus on: Embodied Conversational Agents Brain-Computer Interfaces Parallel Logic Programming Evaluation Metrics in Machine Learning Assistive Technologies for disability support AI in Health and Education Recent publications emphasize optimization algorithms for autonomous systems (AUV routing models) and evaluation methodology advancements . Scientific awards include the Loebner Prize Bronze Medal and multiple ARC grants totaling over $30M in funding. Teaching roles include coordination of courses in Artificial Intelligence, Computational Intelligence, and Human-Computer Interaction . Professional engagements span leadership roles in ACL, ACM, and IEEE, with significant industry collaboration through startups like YourAmigo Pty Ltd.

• Mechanical Engineering
• Composite Materials
• Structural Mechanics
• +3 more

Arash Soleiman Fallah is a Professor at the Department of Mechanical, Electrical and Chemical Engineering, Faculty of Technology, Art and Design, Oslo Metropolitan University. He has held academic positions at Brunel University London (Associate Professor in Dynamics and Vibration) and Imperial College London (Assistant Professor in Aeronautics). His research focuses on mechanics of composite materials, blast and impact resistance, peridynamics, phononic metamaterials, and multiphysics modeling of wind turbines. Current affiliation: OsloMet Previous roles: Associate Professor (Brunel), Assistant Professor (Imperial) He leads research in composite wind turbine blade mechanics, frequency filtering in metamaterials, and damage modeling in metals and composites. His work includes extended finite element formulations and viscoplastic material modeling. Recent publications explore negative-stiffness composites, laser thermal forming, and multiphysics simulations for powder coating. His research spans structural engineering, acoustic metamaterials, and extreme loading conditions. Fellow of Higher Education Academy (HEA) Member of American Society of Mechanical Engineers (ASME) He serves as a Visiting Senior Research Consultant at ICP-ZHAW, contributing to interdisciplinary research in mechanics and mechatronics.

• Energy systems integration
• Grid modeling and simulation
• High performance computing
• +5 more

Deepthi Vaidhynathan is a Researcher IV in the Computational Science Center at the National Renewable Energy Laboratory (NREL), where she works in the Complex System Simulation and Optimization Group. Her research focuses on energy system integration, grid modeling and simulation, and high performance computing for scientific applications in power systems and building energy management. Her educational background includes: Bachelor of Electronics and Communication Engineering from Anna University Master of Electrical and Computer Engineering from the University of Colorado Boulder Deepthi's research spans energy systems integration, grid modeling, high performance computing, computer architecture, and control theory. She applies quantum computing principles and microprocessor optimization to develop advanced simulation tools for modern power grids with high renewable energy penetration. Her work bridges theoretical algorithms with practical energy system challenges. Analysis of her 2024-2025 publications reveals concentrated expertise in hybrid simulation techniques for inverter-dominated power grids and AI-enhanced control frameworks. She specializes in partitioning algorithms for large-scale electromagnetic transient simulations and neural-network-based predictive control for building energy systems, addressing critical needs in grid stability and renewable integration. Deepthi is an active contributor to NREL's Complex System Simulation and Optimization Group, which develops high-fidelity tools for modeling next-generation energy infrastructure. The group's work supports U.S. Department of Energy initiatives for grid modernization and renewable energy deployment. No scientific awards are documented in available sources. Public records indicate no formal student advising roles or disclosed grant funding details.

Evangelos TsotsasView profile

Professor

• Drying Technology
• Particle Formulation
• Thermal Process Engineering
• +3 more

Evangelos Tsotsas is a Full Professor and Chair of Thermal Process Engineering at the Faculty of Process and Systems Engineering, Otto von Guericke University Magdeburg since 1994. He obtained his Dr.-Ing. in 1985 and Habilitation in 1990 from Karlsruhe Institute of Technology, following a Dipl.-Ing. in Mechanical Engineering from Aristotle University Thessaloniki (1981). His research focuses on drying technology , particle formulation , and thermal process modeling , with particular emphasis on spray fluidized bed agglomeration, granulation, coating, pore network models, Monte-Carlo methods, DEM-CFD coupling, and population balance approaches. The group maintains extensive facilities for particle characterization, 3D imaging, and process monitoring. Recent publications highlight applications in single-droplet evaporation modeling, pore-scale freeze-drying analysis, and fluidized bed discharge dynamics. Scientific Awards : 2018: Professor Arun S. Mujumdar Medal for Outstanding Mentorship and Sustained Excellence in Drying Research 2017: Honorary Professor at University of Chemical Technology and Metallurgy, Sofia 2017: Award for Excellence in Drying R&D 2016: Best Research Award at International Drying Symposium 2013: Otto von Guericke Research Award 2010: Award for Excellence in Drying Research 2002: Award for Innovation in Drying Research As Editor-in-Chief of the International Journal of Chemical Engineering and editor of the five-volume series Modern Drying Technology , he has shaped academic discourse in drying and particulate processes. His research group has advised numerous PhD and postdoctoral researchers including Rui Wang (CSC scholarship) and Stutee Bhoi (Humboldt Foundation). The group maintains technical collaborations with institutions such as Novozymes AS , Nestlé , BASF , Evonik , and Princeton University , with industry partnerships spanning from Sanofi-Aventis to Glatt Ingenieurtechnik . His editorial roles include Drying Technology Journal , Processes , and ChemEngineering .

• Spatial Statistics
• Bayesian Statistics
• Environmental Statistics
• +3 more

Gunter Spöck is an Associate Professor at the Department of Statistics, University of Klagenfurt, Austria, holding this position since his 2011 Habilitation in Statistics. His academic qualifications include: PhD in Mathematics from University of Klagenfurt (2005) Habilitation and Venia Docendi for Statistics from University of Klagenfurt (2011) Dr. Spöck's research centers on Spatial Statistics and Bayesian methodologies, with significant applications in environmental systems and industrial quality control. His work develops advanced spatial prediction models and sampling designs for complex real-world data, particularly in atmospheric science and semiconductor manufacturing. Analysis of his publication record (2012-2021) reveals consistent innovation in spatial modeling techniques, including novel approaches for wind profile analysis, defect detection in silicon wafers, and groundwater contamination assessment. His research demonstrates strong interdisciplinary collaboration across environmental science, engineering, and biostatistics. Scientific recognition includes: 1st price award (1997) No information is available regarding student supervision, research grants, or laboratory affiliations in the provided materials.

• Distributed Data Management
• Cloud Computing
• Digital Cultural Heritage
• +4 more

Renata Słota is a Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, where she serves as Vice-Dean of the Faculty of Development. Her office is located at D-17, ul. Kawiory 21, room II, 3.34, with contact details including phone +48 12 328 33 35 and email rena@agh.edu.pl. She also contributes to academic governance as a member of the Disciplinary Council for Technical Information Technology and Telecommunications. Her research centers on distributed data management and cloud computing , with pioneering work in digital cultural heritage systems , blockchain-based decentralized authority , and scientific workflow automation . Notable contributions include integrated frameworks for 3D Cultural Heritage objects management, consensus mechanisms for collaborative data sharing, and multi-cloud data access solutions. Her work bridges theoretical advances with practical applications in cultural preservation and scientific computing. Analysis of her 2020-2026 publications reveals dominant trends in decentralized data governance , cultural heritage digitization , and hybrid cloud workflow management . Key themes include blockchain applications for organizational structures, semantic interoperability for quality-oriented data access, and reproducibility frameworks for computational experiments. Her research consistently addresses real-world challenges in global data accessibility and fault tolerance. Professor Słota actively participates in major research initiatives including the Onedata project for global data federation and the Scalarm platform for distributed parameter studies, demonstrating leadership in data-intensive computing environments and collaborative infrastructure development.

• Biomedical Engineering
• Bioelectricity
• Electroporation
• +4 more

Josette El Zaklit is an Associate Professor at the University of Nevada, Reno specializing in the biophysical effects of nanosecond electric pulses on cellular systems. Her research primarily investigates calcium dynamics and membrane responses in adrenal chromaffin cells, bridging biomedical engineering and neurophysiology through experimental and computational approaches. Her research program focuses on numerical cell modeling, nanobioelectricity, and electroporation mechanisms in excitable cells. Key investigations include how ultrashort pulses affect intracellular calcium release, membrane poration thresholds, and secretory processes, with significant contributions to understanding subcellular electric field interactions. Analysis of her 15 most recent publications reveals consistent exploration of nanosecond pulse effects on chromaffin cells, combining fluorescence imaging, patch-clamp electrophysiology, and impedance spectroscopy with finite element modeling. Dominant themes include calcium signaling heterogeneity, differential poration of plasma versus intracellular membranes, and pulse parameter optimization for cellular stimulation. Dr. El Zaklit's scientific contributions have been recognized through prestigious awards: Early Stage Investigator Award (3rd Place) at the Third World Congress on Electroporation (WCE 2019) Student Platform Presentation Award (2nd Place) at BioEM 2015 T. J. Tarn Best Paper Award at IEEE ROBIO 2009 She actively mentors graduate students, currently recruiting PhD candidates with backgrounds in biomedical engineering, electrical engineering, or biological sciences for projects involving nanosecond pulse applications. Her research is supported by active collaborations with leading institutions in bioelectromagnetics and participation in major international conferences including BioEM and WCE. Dr. El Zaklit maintains strong research ties with the global bioelectromagnetics community, evidenced by her invited presentations at the Third World Congress on Electroporation (2019), UNR Neuro Symposium (2019), and Perry Initiative outreach programs. Her laboratory work integrates advanced biophysical techniques to study fundamental cellular responses with translational potential in medical electroporation technologies.

Hugo BuddelmeijerView profile

Researcher

• Astronomy
• Astrophysics
• Scientific Visualization
• +6 more

Hugo Buddelmeijer is an active Researcher at the Faculty of Science and Engineering , University of Groningen , affiliated with the Kapteyn Astronomical Institute . He specializes in astronomical data management, scientific visualization, and cosmological surveys. Research Interests : Galaxy evolution, photometric redshifts, data lineage, and visualization techniques for large-scale surveys like KiDS and Euclid. Technical Expertise : Development of simulation tools (e.g., ScopeSim), data catalog systems, and query-driven visualization frameworks. Contributions : Key participant in the KiDS and Euclid missions, focusing on optical/near-infrared imaging and dark matter analysis. His work emphasizes integrating machine learning with astronomical data. Collaborations : Extensive international partnerships with institutions like the European Southern Observatory and projects involving Very Large Telescope observations.