Jeffery Raphael Roesler serves as the Ernest J Barenberg Professor in the Department of Civil and Environmental Engineering at the University of Illinois Urbana-Champaign, where he leads research in concrete infrastructure systems with emphasis on sustainable materials and construction methodologies. His research portfolio centers on Concrete Pavements, Pavement Engineering, and Concrete Slab technologies, extending to specialized areas including Continuously Reinforced Concrete Pavement, Rigid Pavement systems, structural Joints analysis, and Concrete Mix Design optimization. This work addresses critical challenges in infrastructure longevity and material efficiency through experimental and computational approaches. Recent publications demonstrate converging trends in intelligent transportation applications for construction zones, sustainable critical metal recovery processes, and innovative utilization of industrial byproducts like waste-to-energy fly ashes in cementitious systems. These studies reflect his interdisciplinary approach bridging civil engineering with materials science. Professor Roesler's scientific contributions have been recognized through prestigious awards: Fulbright Scholar Award (2009) Marlin J. Knutson Award for Technical Achievement (2011) While specific advising records and grant details aren't documented in the provided materials, his extensive publication record indicates active mentorship and research leadership. Laboratory facilities and collaborative teams aren't explicitly described in the available text.
Christopher Kitts is the William and Janice Terry Professor of Mechanical Engineering at Santa Clara University's School of Engineering, where he also serves as Associate Dean of Research and Faculty Development and Faculty Director of the Ciocca Center for Innovation and Entrepreneurship. His external appointments include Associate Researcher at the Monterey Bay Aquarium Research Institute (MBARI) and Visiting Researcher at Lawrence Livermore National Laboratory, reflecting his interdisciplinary work in field robotics. He earned his Ph.D. and M.S. in Mechanical and Aerospace Engineering from Stanford University, M.P.A. in International & Defense Policy from the University of Colorado, and B.S.E. in Mechanical & Aerospace Engineering from Princeton University. Prof. Kitts' research centers on field robotics for scientific discovery and education, with key focus areas: Multi-robot systems design and coordination Collaborative Human/Cobot Control architectures Model-Based Anomaly Management for spacecraft Advanced robotic platforms for underwater, terrestrial, aerial, and space environments His recent publications (2022-2025) demonstrate growing emphasis on human-robot interaction through transformer networks and emotion detection, alongside continued innovation in marine robotics and adaptive navigation for environmental monitoring. Scientific recognition includes: ASME Fellow and AIAA Associate Fellow Multiple Santa Clara University awards across teaching, research, and service NASA Group Achievement Awards (8 total) Industry honors including Edison Innovation Award and AIAA National Award His program has secured tens of millions in funding from government agencies and industry partners for student-operated NASA spacecraft missions and MBARI marine robotics projects, resulting in documented scientific discoveries like tsunami wave evidence in Lake Tahoe. He directs the Robotic Systems Laboratory and Santa Clara's Maker Lab, creating hands-on educational frameworks that integrate entrepreneurial thinking with engineering practice.
Luis Enrique Moreno Lorente is a Full Professor in the Department of Systems Engineering and Automation at Carlos III University of Madrid, where he leads research in the Robotics Lab. He is affiliated with the Pedro Juan de Lastanosa Institute of Technology Development and Innovation and the Research Institute for Higher Education and Science (INAECU). Research Focus: Robotics, Soft Robotics, Control Systems, and Human-Machine Interaction Key Applications: Neurorehabilitation, Unmanned Aerial Vehicles, and Industrial Automation Research Trends in his recent work include: Soft robotic actuators using Shape Memory Alloys (SMA) Advanced path planning for UAV teams and Mars rovers Integration of Gaussian processes and evolutionary algorithms Wearable rehabilitation devices controlled by sEMG signals Mechanical design optimization for high-displacement actuators Supervised Theses cover topics like Global localization algorithms Evolutionary optimization techniques Intelligent actuator systems Cerebral palsy rehabilitation robotics Key Grants include projects funded by the European Commission, Arquimea Aerospace, and Spanish government initiatives in robotics and rehabilitation.
Qingyang Song is a professor in the field of Computer Science and Engineering, focusing on wireless networks and vehicular communications. His research spans topics such as network selection, resource allocation, and fault-tolerant routing mechanisms across heterogeneous systems, including UMTS, wireless LAN, and vehicular networks. While his institutional affiliations are not explicitly stated in the provided text, his collaborative work with researchers like A. Jamalipour and Lei Guo highlights his contributions to next-generation network optimization. His research interests include Network Coding , Software Defined Networking (SDN) , 5G Systems , and Energy Efficiency . He has pioneered techniques to balance user preferences with network conditions, reducing handoffs and improving connectivity. Recent work explores UAV-assisted networks, quantum-inspired reinforcement learning for wireless VR, and secrecy rate optimization in IRS-aided SWIPT systems. Qingyang Song's publications reflect a strong emphasis on Engineering and Computer Science disciplines, particularly in vehicular communications, spectrum sharing, and hybrid routing frameworks. His work has been featured in IEEE journals and conferences, including IEEE Transactions on Vehicular Technology and IEEE Wireless Communications .
Mojtaba Joodaki is a Professor of Computer Science & Electrical Engineering at Constructor University Bremen, affiliated with the School of Computer Science & Engineering. His research focuses on nanoelectronics, bridging high-frequency engineering with nanoscale devices and materials. His work spans the development of devices for memories , sensors , energy harvesting , and communication systems . Recent publications highlight advancements in metasurfaces , electromagnetic energy harvesting , and waveguide modeling , with applications in microwave engineering and sustainable technologies. The 15 most recent articles reflect trends in metasurface design , electromagnetic compatibility , and memory device optimization . Topics include polarization-insensitive energy harvesters, GSTC modeling, and strain effects in organic solar cells. Collaborations span institutions in Germany, Iran, and beyond, with a focus on experimental validation and analytical frameworks. Prof. Joodaki earned his PhD in Electrical and Electronics Engineering from the University of Kassel (1999–2002), with a dissertation on Quasi-Monolithic Integration Technology for Microwave and mm-Wave Applications . Prior roles include professorship at Ferdowsi University of Mashhad and engineering positions at Qimonda Dresden GmbH, Infineon Technology, and ATMEL Germany GmbH.
Dr. Sofya Poger is an Associate Professor in the Department of Computer Science at Felician University's School of Business and Information Sciences. With over 15 years of teaching experience, she led the establishment of the university's Master of Science in Computer Science program. PhD in Computer Science, Stevens Institute of Technology MA in Computer Science, Montclair State University BSEE, Moscow Institute of Technology Dr. Poger's research focuses on Computer Vision , Pattern Recognition , Artificial Intelligence , and Machine Learning . Her work explores Temporal Weighted Data Models , Graph Theory , and Multispectral Sensor Design . Her recent publications (2001-2017) span topics in Computer Science Education , Software Engineering , and Computer Vision . Key trends include leveraging Web-Based Systems for educational assessment and developing algorithms for Planar Grid Graphs .
Matthew Goeckner is a Professor at the University of Texas at Dallas, with appointments in the Department of Physics (School of Natural Sciences and Mathematics) and affiliations in Electrical Engineering, Mechanical Engineering, Materials Science and Engineering, and Science and Mathematics Education (all within the Erik Jonsson School of Engineering and Computer Science). He is an active researcher, educator, and administrator, contributing significantly across disciplines. His educational background includes a Ph.D. in Physics from the University of Iowa (1990), a Postdoctoral Fellowship at the University of Wisconsin’s Engineering Research Center for Plasma Aided Manufacturing (1994), an M.S. in Physics from UCLA (1984), and dual B.S. degrees in Physics and Mathematics from Southern Illinois University (1983 and 1982, respectively). Goeckner's research focuses on low-temperature plasmas, particularly their complex chemical dynamics in industrial applications such as semiconductor etching and deposition. He emphasizes experimental validation of plasma models, identifying limitations in electron energy distributions and reaction databases. His work bridges fundamental plasma physics with engineering applications. In parallel, he is a leader in science and engineering education, having restructured curricula, improved student success metrics (including GPA increases and reduced withdrawal rates), and championed active learning and metacognitive development across STEM programs at UTD. His recent publications (2024) reflect ongoing innovation in plasma diagnostics, machine learning for plasma prediction, and power analysis in moderate-pressure discharges—showcasing a sustained research trajectory focused on understanding and controlling complex plasma systems. These works span experimental methods, computational modeling, and real-world applicability in industrial processing. Fellow of the American Vacuum Society (2016) UT System Regent's Teaching Award (2013) UTD President's Teaching Award (2012) Outstanding Service Award, Jonsson School (2007) William C. Ballowe Sr. Award (1982) Goeckner has advised numerous M.S. and Ph.D. students in Mechanical and Electrical Engineering and continues to mentor postdoctoral scholars. He has led major educational initiatives, including curriculum mapping for STEM courses and the development of a successful freshman seminar adopted university-wide. His administrative service includes interim and associate head roles in Mechanical Engineering and leadership in rebuilding the Mathematical Sciences department. He has also overseen the construction of new teaching laboratories and facilities. He is affiliated with researchers at UTD and local community colleges and has delivered numerous invited talks internationally on plasma chemistry and nanotube growth. His work is supported by collaborative projects and service on state and national education committees, reflecting his broad impact on both research and academic policy.
Dr. Paul Henshaw is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Windsor. He holds a PhD (1995), MASc (1990), and dual bachelor's degrees in Mechanical Engineering and Chemistry (University of Western Ontario, 1985/1983). His research focuses on renewable energy systems, particularly solar energy applications, thermoelectric systems, and absorption cooling technologies. He has contributed to advancements in exergy analysis, optimization algorithms for energy systems, and greenhouse climate modeling in subarctic environments. Key affiliations include Professional Engineers Ontario and the American Solar Energy Society. Research highlights include optimizing photovoltaic-thermoelectric hybrid systems, analyzing wind-solar energy interactions, and developing models for bubble-pump-driven absorption cooling. Over 50 peer-reviewed articles since 1981 reflect his interdisciplinary work spanning thermodynamics, fluid dynamics, and sustainable engineering. He collaborates on projects like Canada’s subarctic greenhouse modeling and Mexico’s renewable energy shoreline initiatives. His work bridges theoretical analysis with practical applications in energy efficiency and climate adaptation.
Candace Chan is an Associate Professor in the Department of Materials Science and Engineering at Arizona State University’s Ira A. Fulton Schools of Engineering. She also holds affiliations with the Center for Renewable Energy Electrochemistry (CREE), the Adaptive Intelligent Materials and Systems Center (AIMS), and the Department of Civil and Environmental Engineering, reflecting her interdisciplinary research profile in advanced materials and sustainable energy systems. Her research focuses on next-generation battery technologies, including lithium-ion and solid-state batteries, with strong emphasis on materials for anodes, cathodes, and solid electrolytes. She investigates nanowire and silicon-based materials, clathrates, and interfacial phenomena in electrochemical systems. Her work spans fundamental materials synthesis and characterization to applied engineering solutions for battery recycling and upcycling, particularly through direct recycling processes and sustainable material regeneration. The recent publications highlight trends in battery sustainability, interfacial engineering, and mechanical reliability. Key themes include cobalt-nickel exchange in cathode recycling, lithium dendrite suppression in garnet electrolytes, surface treatment of solid electrolytes, and mechanical stress analysis in flexible batteries. These studies reflect a cohesive research direction toward safer, more sustainable, and higher-performance energy storage systems. Dr. Chan has secured significant research funding from the Department of Energy (DOE), National Science Foundation (NSF), and Sandia National Laboratories. Active projects include the development of the PRIME process for cathode recycling, understanding interfaces in lithium-sulfur solid-state batteries, and nano-inspired EV battery recycling to secure supply chains. She also contributes to major instrumentation initiatives, such as the acquisition of a Dual Transmission X-ray Diffractometer for in situ and operando materials analysis. She is actively involved in mentoring and research leadership, serving as Principal Investigator (PI) on multiple grants, indicating her role in advising graduate students and postdoctoral researchers. Her work is supported by collaborations across materials science, engineering, and earth sciences, and she contributes to open science through deposition of crystal structure datasets in the Cambridge Structural Database.
Américo Manuel Carapeto Correia is a Full Professor and Deputy Director at the Department of Information Science and Technology (ISTA), ISCTE – Instituto Universitário de Lisboa. He is also an Integrated Researcher at the Institute of Telecommunications - IUL, affiliated with the Radio Systems Group. His academic leadership includes serving as Director of ISTA (2010–2013, 2020), and multiple roles in academic governance such as member and Vice President of the Scientific Council. PhD in Electrical Engineering, Higher Technical Institute - UTL (1994) Master’s in Electrical and Computer Engineering, Higher Technical Institute - UTL (1990) Bachelor’s in Electrical Engineering, Faculty of Engineering - Angola (1983) Aggregation in Information Sciences and Technologies, ISCTE (2006) His research focuses on telecommunications and mobile networks, particularly 5G, LTE-Advanced, femtocells, machine-type communications, and energy-efficient network design. His work bridges theoretical innovation with practical implementation in areas like agriculture (SMARTFARM4.0), aerial surveillance (SAAS), and multimedia services (COILS, C-MOBILE). The recent articles supervised reflect a strong trend toward 5G private network planning across diverse sectors including healthcare, energy, transportation, and government. Emerging topics include Reconfigurable Intelligent Surfaces (RIS) for 6G and AI-driven robotics in healthcare, indicating forward-looking research aligned with next-generation wireless systems. He has led multiple research projects funded by national and international consortia, including: SMARTFARM4.0 (2020–2023): Smart agriculture solutions SAMEQoE (2017–2019): Quality of Experience optimization in mobile networks VELOCE-MTC (2016–2018): Low-latency machine-type communications ADIN (2013–2015): Infrastructure-less wireless networks NEUF (2012–2014): LTE-Advanced with femtocells SAAS (2012–2014): UAV control via terrestrial networks Américo Correia has advised 36 master’s students and 3 doctoral candidates, demonstrating a strong commitment to academic mentorship. He teaches core courses such as Wireless and Mobile Communication Systems, Advanced Mobile Communication Systems, and Research Methods at both master’s and PhD levels. He leads the PhD course on Management of Research Projects, emphasizing research leadership and innovation. His lab affiliations include the Radio Systems Group at IT-Iscte, a key hub for wireless systems research in Portugal.
Professor Alireza Maheri is a Personal Chair in the School of Engineering at the University of Aberdeen, where he has been a faculty member since 2016. He previously served as a Senior Lecturer at Northumbria University and held a research position at the University of Bristol. His academic journey includes a BSc from Shiraz University, an MSc from Amirkabir University of Technology, and a PhD from UWE Bristol, all in Mechanical Engineering. BSc in Mechanical Engineering, Shiraz University MSc in Mechanical Engineering - Energy Conversion, Amirkabir University of Technology PhD in Mechanical Engineering - Design and Simulation of Adaptive Aero-structures, UWE Bristol His research focuses on renewable and sustainable energy systems, with key interests in wind energy, hybrid renewable energy systems (HRES), multidisciplinary design optimization, offshore wind farm decommissioning, and smart energy systems. He leads several high-impact research projects funded by EU-InterReg, Net Zero Technology Centre, and Innovate UK, among others. His work integrates advanced computational methods with real-world energy challenges, particularly in off-grid and island communities. The 15 most recent publications reflect a strong trend in optimization of hybrid energy systems, decommissioning cost modeling, decision support platforms, and algorithmic development for renewable integration. His research spans both technical innovation—such as ant colony algorithms and metaheuristic assessments—and practical implementation, including hydrogen production and load planning for machinery. Professor Maheri has received recognition through research grants, including a project funded by the Royal Aeronautical Society. He has also secured substantial funding from national and international bodies, demonstrating sustained excellence and impact. Net Zero Technology Centre: 'Data for Net Zero (D4NZ)', £992k, 2022–2025, CoI EU-InterReg: 'DecomTools', £240k, 2018–2023, PI National Decommissioning Centre PhD Studentship: 'DSS for Oil & Gas Decommissioning', £72k, 2019–2022, PI Scottish Funding Council SPRe-Industrial Collaboration: £78k, 2019–2023, PI Carnegie Trust PhD Scholarship: 'Wind Turbine Smart Blades', £60k, 2019–2022, Principal Supervisor He supervises a wide range of PhD students on topics including smart blades, hydrogen systems, energy management, and decommissioning. He is also actively involved in teaching, particularly as Course Coordinator for Energy Systems Integration (EG554T and EG554U). His leadership extends to editorial roles in journals such as Energies and Renewable Energy , and he has chaired multiple international conferences. He serves on research proposal review panels for EPSRC, Royal Society, and DAAD, and has acted as an external examiner for MSc programs at Cranfield University. Professor Maheri leads the Applied Dynamics and Structures Research Group and is affiliated with the Centre for Energy Transition. He collaborates with institutions and industries across the UK, Europe, China, Mauritius, and Jordan, fostering international research partnerships in sustainable energy and engineering design.
Tomasz Kozłowski is a researcher at Wrocław University of Science and Technology, actively involved in the Team of Advanced Data Analysis Methods (Zespół Zaawansowanych Metod Analizy Danych - ZZMAD). His work bridges engineering and data science, with a strong emphasis on industrial applications, particularly in mining and mechanical systems diagnostics. Research Interests: Non-invasive diagnostics of machinery using NDT techniques Modeling of conveyor belt systems in surface and underground mines using DEM Signal processing for industrial monitoring Development of optimization algorithms for multi-criteria and multi-level engineering problems His research projects focus on evolutionary optimization methods, multi-objective classifier training, and application-aware network optimization, reflecting a deep integration of computational intelligence with real-world engineering challenges. Scientific Awards: Rector's Award for Scientific Achievements (2017) Rector's Award for Scientific Achievements (2018) Recognition in the Mining Success of the Year competition, category Innovation (2018) Tomasz Kozłowski is engaged in advanced research projects involving black-box optimization, gene-inspired search techniques, and multi-layered network optimization. He contributes to the academic community through research platforms such as ORCID, ResearchGate, and the DONA scientific output system of PWr. Laboratory and Research Teams: Team of Advanced Data Analysis Methods (ZZMAD) Machine Learning Team Computer Networks Team Teaching Team Metaheuristics Team
José Antonio Pérez Rodríguez is a faculty member in the Department of Naval and Industrial Engineering at the University of A Coruña, affiliated with the College of Industrial Design. His research is centered in the Laboratorio de Ingeniería Mecánica, focusing on nonlinear process modeling, industrial laser applications, and mechanical system analysis. His research interests span Mechanical Engineering , Nonlinear Process Control , Laser-Based Manufacturing , Multibody Dynamics , Thermal Engineering , and Sustainable Energy Systems . His work integrates computational modeling, experimental validation, and industrial application, particularly in advanced manufacturing and marine propulsion technologies. The most recent publications reflect a strong trend in energy efficiency, thermal systems, multibody dynamics, and laser processing technologies. His research bridges mechanical design, control systems, and sustainable engineering, with applications in both industrial and maritime contexts. Researcher ID: AAI-3881-2020 ORCID: 0000-0002-7228-1687 Scopus ID: 35262542700 He has participated in numerous R&D projects funded by the Ministry of Science and Innovation, the Xunta de Galicia, and the European Union, often collaborating with leading researchers such as Javier Cuadrado Aranda and José Antonio Orosa García. He has supervised at least one PhD thesis and contributes to final project supervision in engineering programs. His work includes patents and book chapters on industrial laser applications and marine energy systems. He is actively involved in academic service, maintaining regular tutoring hours at the University College of Industrial Design, and teaching core subjects across undergraduate and postgraduate programs in industrial design and engineering education.
Dr. Fuad Khoshnaw is a Senior Lecturer at the School of Engineering and Sustainable Development, De Montfort University (DMU), UK, within the Faculty of Computing, Engineering and Media. He holds a PhD in Mechanical and Manufacturing Engineering from Loughborough University and earlier degrees from the University of Technology, Baghdad, Iraq. He is also a Senior Fellow of the Higher Education Academy and a Chartered Engineer (CEng, MIET). His research expertise spans welding technology, corrosion engineering, surface protection, fracture mechanics, and additive manufacturing. He has published over 80 papers and edited six books, particularly in corrosion and welding. He has led and contributed to externally funded research projects, including a FNRS-funded project in Belgium and a GCRF grant focused on education for refugee children. Dr. Khoshnaw teaches key engineering modules such as Structural Integrity, Materials Engineering, and Corrosion. His recent publications (2021–2025) focus on biomaterials, tribocorrosion, plasma electrolytic oxidation, and welding integrity, reflecting a strong trend in surface engineering and biomedical applications. These works often appear in journals like Materials , Coatings , and Materials Today Communications . His scientific recognition includes: Chevening Scholar (2005), London Business School Senior Fellow of the Higher Education Academy (UK) As a dedicated academic, Dr. Khoshnaw serves on editorial boards, reviews for journals and books, and has contributed to international research collaborations. He has advised on research grants and mentored students, though specific advisees are not listed. He is actively involved in research groups such as the Institute of Engineering Sciences (IES) at DMU.
Dmitriy Dubovitskiy is a Part-Time Lecturer and Honorary Research Fellow at De Montfort University, affiliated with the School of Engineering and Sustainable Development within the Faculty of Computing, Engineering and Media. His work bridges computer science and healthcare, focusing on innovative solutions for cancer diagnosis and biomedical imaging. PhD in Computer Science, De Montfort University (UK), in collaboration with Bauman Moscow State Technical University Specialization: Digital Image Processing, Object Recognition using Fractal Geometry and Fuzzy Logic Dr Dubovitskiy's research centers on the mathematical modeling of natural structures using advanced pattern analysis techniques. He applies fractal geometry , fuzzy logic , and machine learning to develop automated systems for skin and cervical cancer screening , cytopathology , and industrial quality control . His interdisciplinary approach spans biology, pharmacology, physics, and engineering. The trend in his publications shows a consistent focus on biomedical image analysis , particularly in oncology and diagnostics. His work emphasizes automated decision-making , real-time recognition , and portable or web-based screening platforms . Key themes include texture classification, convex hull algorithms, and optical machine vision, with increasing integration of AI and mobile technologies. His scientific awards reflect excellence in both research and innovation: Commercialising Award, DIT Hothouse (2011) Microsharp Limited Prize for Best Research (2003) INTAS Research Grant (06-1000013-9357) Multiple Best Presentation/Poster Awards (2001–2004) Overseas Students Research Award (2000–2003) Dr Dubovitskiy has advised on several externally funded and industrial research projects, including collaborations with Oxford University , Trinity College Dublin , and companies like Microsharp Limited and MoleTest (UK) Ltd . He secured the INTAS grant and contributed to technology commercialization efforts. He teaches Dynamics and Control and mentors through consultancy. He is an active member of the British Machine Vision Association (BMVA) , MIET , and the Cambridge Knowledge Transfer Network . He is associated with the Centre for Engineering Science and Advanced Systems (CESAS) at DMU, where he contributes to research in intelligent systems and advanced computing. His work often involves interdisciplinary teams focused on translating academic research into practical healthcare and industrial applications.
