Find Academic Supervisors

Russell C. HardieView profile

Professor

• Digital Signal Processing
• Image Processing
• Machine Learning
• +3 more

Russell C. Hardie is a full-time Professor at the University of Dayton , holding positions in the Department of Electrical and Computer Engineering with joint appointments in Electro-Optics and Photonics and Bioengineering . His academic journey began with a B.S. in Engineering Science from Loyola College (1988), followed by M.S. and Ph.D. in Electrical Engineering from the University of Delaware (1990, 1992). Prior to joining the University of Dayton in 1993, he served as a Senior Scientist at Earth Satellite Corporation (now MDA Federal). Research Interests : Digital signal/image processing, medical imaging, super-resolution techniques, hyperspectral/infrared imaging, pattern recognition Key Awards : 2006 Alumni Award in Teaching (University of Dayton) 1998 Rudolf Kingslake Medal (SPIE) 1999 School of Engineering Excellence in Teaching 2002 IEEE Professor of the Year 1997 Epsilon Delta Tau Engineering Professor of the Year Recent Work : Focuses on machine learning applications for medical imaging (lung segmentation, nodule detection), atmospheric turbulence mitigation, and hyperspectral data analysis. His 15 most recent publications span topics from zero-shot chest X-ray analysis to methane plume detection and turbulence-corrected imaging systems. Contact: rhardie1@udayton.edu

Nelson RodriguesView profile

Researcher

• Intelligent Manufacturing
• Reconfigurable Manufacturing Control Systems
• Artificial Intelligence
• +5 more

Nelson Rodrigues is a Researcher at the Polytechnic Institute of Bragança (IPB) and a Ph.D. candidate at the University of Porto, conducting research since 2010 with involvement in H2020 PERFoRM and GO0D MAN projects, as well as FP7 ARUM and GRACE initiatives. His academic credentials include: Master of Science in Information Systems, Polytechnic Institute of Bragança His research centers on Intelligent and Reconfigurable Manufacturing Control Systems, investigating Artificial Intelligence applications for self-adaptive manufacturing evolution. Additional expertise spans Industry 4.0, Cyber-physical systems, Multiagent systems, Simulation, and Advanced Data Analytics, with emphasis on enhancing manufacturing flexibility through cutting-edge computational methods. Recent publication analysis reveals a strategic pivot toward energy systems optimization, particularly virtual power plants, utilizing high-performance computing, quantum annealing, and evolutionary algorithms. Concurrent research explores intelligent transportation frameworks, assistive robotics, and manufacturing business analytics, demonstrating interdisciplinary technical agility. He maintains active affiliations with LIACC - Artificial Intelligence and Computer Science Laboratory and the IEEE Technical Committee on Industrial Agents, contributing to over 29 publications with an h-index of 11. Research funding derives from European Union projects including H2020 PERFoRM and GO0D MAN, and FP7 ARUM and GRACE, where he developed intelligent manufacturing control architectures and service reconfiguration systems. Within LIACC and IEEE collaborations, he advances industrial agent technologies for real-time manufacturing adaptation, focusing on dynamic reconfiguration and human-in-the-loop cyber-physical production systems.

• Computational Mathematics
• Numerical Analysis
• Computational Fluid Dynamics
• +4 more

Dr. Arash Ghasemi serves as an Adjunct Faculty member in the Department of Engineering Management and Technology within the College of Engineering and Computer Science at the University of Tennessee at Chattanooga (UTC). His academic role bridges computational mathematics and engineering applications through teaching and research activities focused on advanced numerical methods. His research spans computational mathematics, numerical analysis, and scientific computing with emphasis on high-order spectral/finite element methods, mesh generation, and preconditioning techniques. Key application areas include computational fluid dynamics (particularly compressible flow), structural engineering (crane mechanisms, non-destructive testing), climate modeling for infrastructure, and electromagnetic simulations. His methodological innovations consistently target improved accuracy, efficiency, and stability in engineering computations across civil, mechanical, and aerospace domains. Dr. Ghasemi's publication trajectory from 2006 to 2024 reveals sustained contributions to computational methods. Early work established foundations in wireless sensor networks for infrastructure and high-order ODE solvers, while his 2016 'spectral hull' breakthroughs revolutionized degree-of-freedom reduction in conservation laws. Recent publications (2021-2024) demonstrate expanding applications in polynomial approximation, data interpolation, and climate modeling, maintaining his signature focus on mathematical rigor coupled with practical engineering impact across fluid dynamics, structural mechanics, and environmental systems.

• Manufacturing Engineering
• Materials Science
• Finite Element Analysis (FEM)
• +5 more

Barbara REGGIANI is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering Sciences and Methods. Her research focuses on advanced manufacturing processes, particularly extrusion of aluminum alloys, FEM simulation of material behavior, and optimization of industrial processes. She teaches courses in Management Engineering, including Manufacturing Processes and Methods for Product Development and Industrial Technologies and Plants . Her research interests include die design optimization, nitrogen cooling strategies for extrusion dies, and polymer processing. She has extensively studied grain structure evolution, recrystallization modeling, and defect prediction (e.g., PCG formation, charge welds) using FEM tools like Qform and Moldflow. Recent work addresses material characterization (e.g., AA6082/6063 alloys) and surface functionalization for biomedical applications. Dr. REGGIANI collaborates on projects involving additive manufacturing for die cooling channels and laser-based surface treatments. Her work bridges experimental methods (hot torsion tests, micro-CT analysis) with numerical modeling to enhance process efficiency and material performance.

• Computer-Aided Design
• Geometric Reconstruction
• Sketch-Based Modeling
• +2 more

Ana Piquer Vicent is an Associate Professor in the Department of Mechanical Engineering and Construction at Universitat Jaume I. She teaches courses in Engineering Graphics, Computer-Aided Design, and Engineering Projects. Her office is located in despacho TC 2319 DD. Her research specializes in: 3D reconstruction from 2D sketches Geometric modeling algorithms Computer vision for engineering design Optimization techniques in CAD Sketch-based interfaces She leads research in the REGEO group focusing on 3D reconstruction of line drawings. Her doctoral thesis addressed artificial perception of line drawings, developing novel methods for converting 2D sketches into 3D models using optimization techniques and symmetry detection.

Min JiangView profile

Professor

• Digital Technology
• Geopolitics
• Policy Studies
• +7 more

Dr. Min Jiang is a Professor of Communication Studies at UNC Charlotte and CyberBRICS Visiting Professor at FGV Law School in Brazil. She holds affiliate roles in International Studies and Public Policy programs. Her research bridges digital technology, geopolitics, and policy with a focus on China and the Global South. Dr. Jiang leads the Global Media & Internet Concentration Project (GMICP), a $2.5M CAD initiative investigating media ownership globally. Educations: B.A. and M.A. in English from Beijing Foreign Studies University (1999–2002), Ph.D. in Communication from Purdue University (2007). Research Interests: Digital sovereignty frameworks, AI governance, BRICS digital policies, and U.S.-China tech competition. Recent work includes editing the Cambridge University Press book "Digital Sovereignty in the BRICS Countries" (2024). Recent Articles: Focus on platform antitrust dynamics, social credit systems, and cross-border data governance. Her 2024 book synthesizes BRICS nations' digital sovereignty strategies. Awards: Includes ICA’s Top Faculty Paper Award, CyberBRICS Fellowships, and contributions to the NETmundial+10 global digital governance framework. Grants: Leads GMICP with $2.5M CAD funding. Previously secured grants from SSHRC, SSRC, and the FGV CyberBRICS program.

Onat Halis TOTUKView profile

Assistant Professor

• Additive Manufacturing
• Soft Robotics
• Mechanical Engineering Design
• +4 more

Dr. Onat Halis TOTUK is an Assistant Professor at Çankaya University's Faculty of Engineering, Department of Mechatronics Engineering. He holds a PhD from İskenderun Technical University (2019-2023) and earlier degrees from Middle East Technical University (BSc 1982-1987, MSc 1987-1989). His academic career includes roles as a Lecturer and Assistant Professor, with part-time status from 2012-2018 before transitioning to full-time positions. Research Interests : Focus on Additive Manufacturing, Soft Robotics, and Computer-Aided Design. Key areas include 3D printed materials for robotics, SCAMPER methodology in design education, and sustainable engineering solutions aligned with UN SDGs. Recent work explores biomimetic manufacturing and adaptive robotic systems. Recent Trends in Publications : Recent articles emphasize soft robotics actuators, 3D printing applications in biomedical engineering, and innovative design methodologies. Earlier work includes studies on solar collector optimization and machining processes. Grants & Projects : Lead or contributed to projects like 'EBOT Pharmacy Robot Automation' (2021-2022) and 'Waste-to-Active Carbon Conversion' (2023-2024). Active in developing pharmacy automation systems and smart storage solutions. Advising : Supervised 5 master's students focusing on topics like robotic systems for additive manufacturing, tool wear analysis, and AI-driven ERP systems. Courses taught include Additive Manufacturing, Computer-Aided Design, and Mechatronics fundamentals.

Norbert PalzView profile

Professor

• Digital Design
• Additive Manufacturing
• Computer Art
• +3 more

Prof. Dr. Norbert Palz is Professor for Digital and Experimental Design at Berlin University of Arts, where he served as President (2020-2025). His research explores digital fabrication processes, large-format additive manufacturing, and computational design methods. Education includes architecture studies at TU Berlin following a draftsman apprenticeship. Professional experience includes work with UN Studio, NOX Architects, and founding TARGADESIGN (art/architecture practice). Research contributions include EU Horizon 2020 projects on textile architectures and investigations into historical construction geometries for digital pedagogy. Current investigations focus on material behavior in large-scale 3D printing applications and computer art's architectural implications.

Mihai ANDRIESView profile

Associate Professor

• Cognitive Robotics
• Ambient Systems
• Automated Functional Design
• +3 more

Mihai ANDRIES is an Associate Professor in Computer Science (specializing in Artificial Intelligence and Robotics) at IMT Atlantique, Brest, France. He holds a PhD in Artificial Intelligence from the University of Lorraine (2015), an M.Sc. in Software and Data Engineering from the University of Strasbourg (2012), and a B.Sc. in Computer Science from the same institution (2010). His research focuses on cognitive robotics, ambient systems, and automated functional design, emphasizing human-centric technologies such as assistive robots and healthcare applications. He has held postdoctoral positions at Inria Nancy, Institute for Systems and Robotics (Lisbon), and Institute of Intelligent Systems and Robotics (Paris), with industry experience at PSA Peugeot Citroën and Dassault Systèmes. His work integrates artificial intelligence, robotics, and sensor systems to enhance quality-of-life solutions, including robotic rehabilitation assessment and dementia detection through speech analysis. Key projects include the DiscoBot (mental health chatbot), Veggie Breizh Bot (cooking assistance robot), and SUMMA-Sound (sound-based activity recognition). He has secured grants totaling over €1M for projects like HEAP sorting, RoboErgoSum (robotic consciousness), and Mementop (sound-based mental health diagnosis). His software contributions include tools for 3D model conversion (stl2sdf, binvox2sdf) and multi-robot simulators.

• Computer Graphics
• Geometry Processing
• 3D Reconstruction
• +3 more

Dr. Jing Ren is affiliated with the Department of Computer Science at ETH Zürich, holding a role within the Professorship for Computer Science. Their research focuses on computational geometry, 3D reconstruction, and computer graphics, with notable contributions to shape analysis, non-rigid matching, and fabric modeling. Dr. Ren’s work bridges theoretical advancements with practical applications in textile design, architectural modeling, and medical imaging. They collaborate extensively on projects involving functional maps, optimization algorithms, and geometric morphometrics. Key research interests include: Non-rigid shape correspondence and matching Computational modeling of woven fabrics and textiles 3D face and building reconstruction techniques Efficient spectral and discrete optimization methods Recent publications (2022–2024) emphasize innovations in fabric parameterization, Gaussian noise distribution, and rethinking 3D face reconstruction benchmarks. Their work often employs machine learning and functional map frameworks to solve geometric problems across disciplines. Laboratory and team affiliations are not explicitly detailed in the provided materials, but their research aligns with ETH Zürich’s broader initiatives in computer science and engineering. No grants or advising activities are specified in the current data.

Joseph JosephView profile

Clinical Professor

• Cardiology
• Rheumatology
• Epidemiology of Rheumatic Diseases
• +4 more

Joseph Joseph serves as Clinical Professor, Associate Dean of Academic Affairs, and Chair of Clinical Education at the University of Nicosia Medical School. He graduated with an MB BCh from the University of Wales College of Medicine and specialized in Internal Medicine and Rheumatology at Oxford University. His clinical focus includes rheumatic disease epidemiology, inflammatory arthritis, and Behcet’s Disease. His research spans cardiology, diabetes management, and cardiovascular risk assessment, with notable contributions to biomarker studies in COVID-19 patients and algorithmic approaches to coronary heart disease risk. Education: MB BCh, University of Wales College of Medicine (UK) Specialization in Internal Medicine and Rheumatology, Oxford University Research Interests: Dr. Joseph’s work emphasizes translational cardiology, including the intersection of metabolic disorders (diabetes, obesity) with cardiovascular disease. He is particularly interested in developing predictive models for adverse cardiac events and innovative therapeutic approaches for rheumatic conditions. His cross-disciplinary projects integrate clinical informatics with traditional medical research. Publications Trends: His articles reflect a focus on cardiovascular epidemiology, biomarker discovery, and the application of data science in medicine. Recent work explores the impact of comorbidities like diabetes and hypertension on coronary artery disease outcomes, while earlier studies investigate ischemic preconditioning and endovascular techniques. Awards: No scientific awards explicitly listed in the profile. Advising & Grants: No advisees or grant details provided in available texts. His administrative roles suggest involvement in academic program development rather than active research grants. Labs/Teams: Not explicitly mentioned, though his role as Chair of Clinical Education implies leadership in educational infrastructure development within the medical school.

Chundeva-Blajer MarijaView profile

Associate Professor

• Metrology
• Electromagnetic Measurements
• Finite Element Method (FEM)
• +5 more

Marija Chundeva-Blajer is an Associate Professor at the Faculty of Electrical Engineering and Computing (FEIT), Ss. Cyril and Methodius University in Skopje, Macedonia. She holds a PhD in Technical Sciences (2004), MSc in Electrical Engineering (2000), and a BEng in Electrical Engineering (1996), all from the same university. Her research focuses on metrology, electromagnetic measurements, finite element method (FEM) applications, and instrument transformer design. She has led and participated in numerous international projects, including the EU TEMPUS IV project for doctoral studies in metrology (2010-2012) and bilateral projects with Croatian institutions. Her work emphasizes developing measurement methods, calibration techniques, and optimizing electrical devices using FEM-3D and genetic algorithms. Dr. Chundeva-Blajer has authored over 40 peer-reviewed articles and conference papers, contributing to journals like International Journal of Applied Electromagnetics and Prezeglad Elektrotechniczny . Her research spans electromagnetic transient analysis, material testing, and instrumentation design. She has received awards for innovations in clean production processes and metrological infrastructure. She serves as a reviewer for major journals and conferences, including Measurement Science and Technology and Journal of Physics D . Her leadership roles include heading FEIT's Metrology Laboratory (2004-2008) and acting as a lead assessor for the Macedonian Accreditation Institute (IARM). She has also trained educators in modeling and simulation tools for vocational schools.

• User Experience Design
• Human-Computer Interaction
• Human-Robot Interaction
• +3 more

Beatrice Alenljung is an Associate Professor of Information Technology at the University of Skövde, Sweden, leading the Interaction Lab. She specializes in human-centered technology research with a focus on user experience (UX) design, human-robot interaction, and decision support systems. Her work bridges theoretical insights with practical applications in fields like healthcare robotics, industrial automation, and educational technology. She teaches in the User Experience Design program and actively contributes to interdisciplinary projects addressing challenges in aging populations, industrial collaboration, and sustainable digital transformation. Key ongoing projects include exploring socially assistive robots for older adults (RoSA and RO-LIV), optimizing human-robot collaboration in manufacturing (KOMPARO and AIHURO), and risk reduction strategies for emergency services through digital simulation. Her research emphasizes empirical studies on UX evaluation frameworks (e.g., ANEMONE), human factors in robotics, and the societal impacts of emerging technologies. Alenljung has authored over 40 peer-reviewed publications, spanning conference papers and book chapters in HCI, robotics, and requirements engineering. She holds a PhD in Decision Support Systems from the University of Skövde and has maintained collaborative ties with industries and institutions across Europe.

• Neuroimaging
• Pediatric Critical Care
• Biomedical Engineering
• +3 more

Mathieu Dehaes is a Professor at the Université de Montréal's Faculté de médecine , specializing in the Département de radiologie, radio-oncologie et médecine nucléaire . His research focuses on developing optical and MRI-based neuroimaging techniques to assess cerebral health in pediatric populations, particularly in preterm infants and children with congenital heart defects. He leads multiple NIH/FRQS-funded projects, including the development of NIRS-EEG methods for neonatal brain monitoring and Raman spectroscopy for disease diagnostics. Education: Ph.D. in Biomedical Engineering (École Polytechnique de Montréal, 2009) M.Sc. in Applied Mathematics (Université de Montréal, 2004) B.Sc. in Mathematics/Computer Science (Université du Québec à Chicoutimi, 2002) Awards: FRQS Senior Researcher Award (2024-2027) Multiple NIH grants for pediatric neuroimaging innovations Goldenson Foundation Fellowship (Harvard Medical School, 2011-2013) Key Projects: Developing bedside neuroimaging tools for neonatal hypoxic-ischemic encephalopathy Optical coherence tomography advancements for murine retinal studies Real-time saliva-based Raman spectroscopy for infectious disease detection Advising & Grants: Supervised 12+ graduate students in biomedical engineering and neuroimaging Total external funding >$5M CAD over 20 active grants Labs & Affiliations: Principal Investigator at CHU Sainte-Justine Research Center Member of the Azrieli Brain Imaging Center

William MelekView profile

Professor

• Artificial Intelligence
• Intelligent Control
• Mechatronics
• +11 more

William Melek is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. He serves as Director of the Laboratory of Computational Intelligence and Automation and RoboHub. His research focuses on intelligent systems, modular robotics, autonomous vehicles, and bioinformatics. He holds a B.A.Sc. in Electrical & Computer Engineering (Zagazig University, 1994), M.Sc. and Ph.D. in Mechanical Engineering (University of Toronto, 1998/2002), and a Post-Doctorate in Computer Science (Ryerson University, 2004). Education: Bachelor's: B.A.Sc in Electrical & Computer Engineering, Zagazig University (1994) Master's: Mechanical Engineering, University of Toronto (1998) Doctorate: Mechanical Engineering, University of Toronto (2002) Post-Doctorate: Computer Science, Ryerson University (2004) His research interests span artificial intelligence, intelligent control, mechatronics, automotive design, and computational intelligence. Recent work includes autonomous vehicle navigation, predictive maintenance in manufacturing, and bioinformatics-driven clinical decision support systems. He teaches courses such as ME 360 (Control Systems), ME 780 (Mechatronics), and MTE 100 (Intro to Mechatronics). Articles from 2023–2025 highlight advancements in autonomous driving decision-making, modular robotics, and 5G-enabled teleoperation systems. His lab develops algorithms for urban autonomous systems and industrial automation. He currently oversees graduate student applications in mechatronics and robotics. Labs/Teams: Laboratory of Computational Intelligence and Automation, RoboHub.