Find Academic Supervisors

Marcello PapiniView profile

Professor

• Abrasive Jet Machining
• Solid Particle Erosion
• Tribology
• +12 more

Dr. Marcello Papini is a Professor in the Department of Mechanical, Industrial and Mechatronics Engineering at Toronto Metropolitan University, where he leads research in abrasive jet technology and biomechanics. He also holds an adjunct professorship at the University of Waterloo. A Tier II Canada Research Chair holder (2007–2017) and Fellow of the Canadian Society for Mechanical Engineering, his work bridges mechanical engineering, materials science, and biomedical applications. His research focuses on abrasive jet micro-machining , solid particle erosion , and orthopaedic biomechanics . Using advanced numerical modeling—including finite element analysis, level set methods, and cellular automaton simulations—he investigates material removal mechanisms, surface evolution, and the performance of orthopaedic implants. His lab develops predictive models for microfabrication processes applicable to MEMS, microfluidics, and lab-on-a-chip devices. Recent publications highlight trends in inverse methods for 3D micro-etching, CFD-aided prediction of machining channels, and simulation of particle impacts. His work emphasizes both experimental validation and computational innovation in non-traditional machining and biomechanics. Scientific Awards: Tier II Canada Research Chair in Abrasive Jet Technology (2007–2017) Fellow, Canadian Society for Mechanical Engineering (FCSME) Dr. Papini has been actively involved in research supervision and mentorship, supported by funding from NSERC. He co-edits the journal Wear (Elsevier) and collaborates with researchers at the University of Toronto. His group maintains three research labs focused on abrasive jet and erosion phenomena. His research group specializes in modeling techniques for abrasive jet machining, solid particle erosion, and orthopaedic biomechanics, utilizing composite bone analogues and finite element models to evaluate implants and engineered tissues.

Navid AnsariView profile

Researcher

• Deep Learning
• Generative Models
• Optimization
• +4 more

Navid Ansari is a doctoral researcher at the Max Planck Institute for Informatics (MPI-INF) and Saarland University, affiliated with the Artificial Intelligence Aided Design and Manufacturing group under the Computer Graphics department. His work bridges academia and industry, with internships at Amazon AWS and the Max Planck Institute for Brain Research. PhD in Computer Science (2021–Present), Saarland University & MPI-INF MSc in Visual Computing (2018–2021), Saarland University BSc in Electrical Engineering (2013–2017), Shiraz University Navid's research focuses on deep learning, generative models, and optimization techniques. His work includes mixed-integer optimization for neural networks, Bayesian design optimization, uncertainty quantification in AI systems, and applications in computational manufacturing and molecular design. He has contributed to top-tier venues like AAAI, NeurIPS (Spotlight), and SIGGRAPH. His publications address trends in AI-aided design optimization, uncertainty-aware modeling, sparsity in large language models, and inverse molecular design aligned with molecular dynamics. This work spans applications in manufacturing, computational chemistry, and natural language processing. Navid has collaborated with institutions such as Amazon AWS (LLM sparsification) and the Max Planck Institute for Brain Research (behavioral neuroscience). He is part of the Saarland Informatics Campus, a hub for visual computing and AI research.

Alex EndertView profile

Associate Professor

• Visual Analytics
• Human-centered AI
• Information Visualization
• +3 more

Alex Endert is an Associate Professor and Associate Chair of Operations and Special Initiatives in the School of Interactive Computing at Georgia Tech. He directs the Visual Analytics Lab, focusing on interactive visual tools to aid in analyzing data and AI systems. His research addresses domains like cybersecurity, manufacturing safety, and intelligence analysis, supported by NSF, DOD, and industry grants. He holds a PhD from Virginia Tech (2012), winning top dissertation awards. His lab develops systems like SafetyLens and CAVA, and explores AI ethics in education and human trafficking contexts. Education: Ph.D. in Computer Science, Virginia Tech (2012) Affiliations: GVU Center, College of Computing Research Interests: Visual Analytics, Human-centered AI, Ethical AI, Data Interpretation, and Collaborative Visualization. His work emphasizes tools that empower domain experts while mitigating cognitive biases. Recent projects include DeepSee for marine ecosystems, NL4DV for NLP-driven visualization, and Trust Junk for calibrating trust in AI systems. Key Publications (2020–2025): Includes seminal work on cognitive bias mitigation (Lumos), causal inference visualization (CausalVis), and LLM-based analytics (NL4DV-LLM). Over 100+ peer-reviewed papers with 15+ recent articles highlighted above. Awards & Grants: NSF CAREER Award (2018), IEEE Dissertation Prize (2013), and sustained industry funding. Teaching: Courses on Information Visualization (CS4460/7450) and Visual Data Analysis (CS8803). Lab & Impact: The Visual Analytics Lab hosts 13 alumni and current PhD students (e.g., Adam Coscia, Arpit Narechania), fostering interdisciplinary projects with partners like NASA and Caltech. Ongoing work includes ethical AI applications and AI-driven education systems.

• Signal Processing
• Microwave Engineering
• Image Classification
• +4 more

Jesús Alpuente Hermosilla is an Associate Professor at the University of Alcalá, affiliated with the Department of Signal Theory and Communications and the Radiation and Sensing Group (RSG). His primary research focuses on signal processing, microwave engineering, and bioinspired systems. He holds a PhD in Engineering from the University of Alcalá (2014), with a thesis on automatic wood species classification using image analysis techniques. His research interests include non-destructive analysis of materials, fractal filtering for medical imaging enhancement, and antenna design for wireless communication systems. He has contributed to studies on microwave focusing effects in wood structures, long-term electromagnetic field exposure measurements, and bioinspired echolocation-based spectral techniques. His publications span topics from acoustic sensing algorithms to practical microwave engineering applications, reflecting a balance between theoretical innovation and applied engineering solutions. He has collaborated on projects involving automated production control systems and educational tools for electromagnetic network design. No specific scientific awards or grants are mentioned in the provided data. His advising role is not explicitly detailed, though his doctoral work demonstrates supervisory experience. He is actively involved in the Radiation and Sensing Group, contributing to interdisciplinary research at the intersection of signal theory and material characterization.

Roberto Barchino PlataView profile

Professor

• e-Learning
• Healthcare Informatics
• Educational Technology
• +6 more

Roberto Barchino Plata is a Professor in the Department of Computer Science at Universidad de Alcalá. His research focuses on e-Learning systems, healthcare informatics, and educational technology, with a strong emphasis on gamification, MOOCs, and interoperability standards. He leads the MISKC (Healthcare Informatics Research) and TIFyC (Information Technologies for Training and Knowledge) groups. His doctorate (2007) explored evaluation processes in e-learning systems under supervision of Dr. Luis López Corral and Dr. José Javier Martínez Herráiz. Recent work includes innovations in smart healthcare systems (e.g., IoT-based posture correction), AI-driven personalized feedback in MOOCs, and post-pandemic e-learning adoption. His research bridges computer science with pedagogical innovation, addressing both technical and human factors in digital education environments. Key areas include: Development of gamified learning environments for skill acquisition Interoperability frameworks for learning object repositories Applications of AI in healthcare education and MOOC management Usability evaluation of educational technologies Recent trends in his publications (2021-2025) highlight: Growing emphasis on healthcare-related robotics and care competencies Exploration of post-pandemic educational models Integration of IoT and sensor technologies in wellness systems Optimization of MOOC effectiveness via digital ecosystems He has contributed to standards implementation (e.g., ISO 27001 in Industry 4.0) and pioneered tools like the ALEVIN intelligent assessment algorithm. His work frequently intersects with nursing education, emergency training, and collaborative learning environments.

Rachael Elizabeth NaoumView profile

Academic

• Computer-Aided Design (CAD)
• 3D Printing
• Textiles Engineering
• +3 more

Rachael Elizabeth Naoum is a part-time Adjunct Teaching Professor in the Mechanical & Materials Engineering department at Worcester Polytechnic Institute (WPI). Her full-time role is as a Product Definition Engineering Manager in SOLIDWORKS R&D at Dassault Systèmes, where she develops the software she teaches. She holds a BS (2018) and MS (2020) in Mechanical Engineering from WPI. Her research focuses on SOLIDWORKS applications, 3D printing innovations, and textiles engineering. Notable work includes a 2018 publication on prosthetic arm design using affordable rapid prototyping. She is a Certified SOLIDWORKS Expert (CSWE) and Trainer, and actively promotes STEM education through programs like the MassRobotics Jumpstart Fellowship for high school students. Rachael teaches ES 1310: Introduction to Computer-Aided Design at WPI, emphasizing design intent, orthographic thinking, and mechanical motion comprehension. Her dual role bridges academic instruction with industry software development, creating a unique feedback loop for educational tools.

• Mechanical Engineering Technology
• STEM Education
• Engineering Graphics
• +7 more

Todd Alberts is a Senior Instructor in the Department of Mechanical Engineering Technology at Indiana State University, within the Bailey College of Engineering & Technology. He is actively engaged in teaching, student advising, and industry collaboration, with a strong commitment to applied engineering education and student success in STEM fields. Education: M.S. in Industrial Technology, Indiana State University (2007) B.S. in Mechanical Technology, Indiana State University (2005) A.S. in Computer Aided Design and Manufacturing, IVY Tech State College (1998) His research and professional interests focus on mechanical engineering technology , STEM education , computer-aided design (CAD) , and student success in technical majors . His work emphasizes experiential learning, industry partnerships, and curriculum development in applied engineering. He has presented on student perspectives in STEM and transfer pathways between institutions. Todd Alberts has been recognized with several awards for teaching, advising, and community engagement by the College of Technology at Indiana State University. College of Technology Outstanding Community Engagement Award (April 2022) College of Technology Excellence in Advising Award (May 2021) College of Technology Faculty Teaching Award (May 7, 2019) Student Organization Of The Year (April 2015) He has served as a faculty advisor for the ASME Student Organization and has led numerous STEM outreach initiatives, including organizing ASME Hoosier Prairie STEM Days and serving on university committees related to teaching and career services. He has also engaged in consulting with various industrial firms across Indiana and neighboring states, applying his expertise in mechanical engineering and design. Alberts has secured substantial grant funding as both principal and co-principal investigator from sponsors such as the International Corrugated Packaging Foundation, Trayak, PMMI, and corporate partners like North American Lighting and Arrow Packaging Solutions. These grants support student programs, software acquisition (e.g., Creo 3D), career immersion, and industry exposure events like PackExpo. He holds professional certifications as a Certified Engineering Graphics and Certified Technical Professional through the Association of Technology Management and Applied Engineering (ATMAE), reflecting his commitment to maintaining industry-relevant skills and standards in engineering technology education.

Daniel WaldorfView profile

Professor

• Metal Cutting Process Modeling
• Tool Wear
• Cutting Tool Design
• +7 more

Dr. Daniel Waldorf is a Professor and currently serves as the Department Chair of the Industrial and Manufacturing Engineering (IME) Department at California Polytechnic State University (Cal Poly), within the College of Engineering. He has been a faculty member since 1998 and plays a key leadership role in academic administration and curriculum development. His research spans several critical areas in modern manufacturing, including metal cutting process modeling , tool wear analysis , cutting tool design , dimensional metrology , and smart manufacturing . Additionally, he is deeply engaged in engineering education , focusing on teaching innovation, assessment, and curriculum design. His expertise bridges both industrial practice and academic instruction. Dr. Waldorf has developed and taught core courses such as manufacturing process design, computer-aided manufacturing, tool engineering, quality engineering, metrology, and reliability. His work integrates practical engineering experience with academic rigor, shaped by his prior industry role as a Quality/Manufacturing Engineer at ATF, Inc. He earned his Ph.D. in Industrial Engineering from the University of Illinois at Urbana-Champaign in 1996 and is a licensed Professional Engineer (PE). His leadership in the IME department since being elected Chair in 2016 reflects his ongoing contributions to academic governance and program advancement. Ph.D. in Industrial Engineering, University of Illinois at Urbana-Champaign (1996) There are no listed scientific awards or publications in the provided text. However, his sustained involvement in teaching improvement initiatives and departmental leadership suggests a strong commitment to academic excellence. He advises students within the IME program, though specific names are not mentioned. No information indicates he holds a part-time appointment or has retired. Dr. Waldorf is affiliated with the Industrial and Manufacturing Engineering Department at Cal Poly, where he contributes to laboratory instruction, curriculum development, and likely oversees research labs related to manufacturing and metrology, though specific lab names or team structures are not detailed in the source material.

Junpeng WangView profile

Research Fellow

• lightweight structural design
• structural optimization
• scientific visualization
• +5 more

Dr. Junpeng Wang is a Postdoctoral Researcher (since June 2023) in the Chair of Computer Graphics and Visualization at the Technical University of Munich, working under Prof. Rüdiger Westermann. Previously, he completed his PhD at the same institution from November 2018 to June 2023. His research focuses on lightweight structural design and optimization with geometry-based approaches, as well as scientific visualization of tensor and mesh data. Wang's research interests span lightweight structural design , structural optimization , and scientific visualization . His work integrates computational mechanics with computer graphics to develop novel methods for stress analysis, lattice structure optimization, and 3D data visualization. His research has practical applications in mechanical engineering, additive manufacturing, and scientific data analysis. His publication portfolio shows a strong trend toward integrating machine learning with traditional computational mechanics methods, particularly in the areas of 3D Gaussian Splatting and neural data structures. Wang has developed the 3D-TSV (3D Trajectory-based Stress Visualizer), a significant tool for exploring principal stress directions in 3D solids under load, which has been published in Advances in Engineering Software (2022). Wang serves as a reviewer for prestigious journals including IEEE Transactions on Visualization and Computer Graphics (TVCG), Computer Methods in Applied Mechanics and Engineering (CMAME), Journal of Mechanical Design (JMD), Optics Express (OPTE), Computer-Aided Geometric Design (CAG), and Shape Modeling International Conference (SPM[C]). His collaborative work primarily involves Prof. Rüdiger Westermann at TUM and Jun Wu at other institutions, demonstrating strong interdisciplinary connections between computer graphics and mechanical engineering research groups.

• Additive Manufacturing
• Wire Arc Additive Manufacturing (WAAM)
• Computer-Aided Design and Manufacturing
• +4 more

Prof. OĞUZHAN YILMAZ is a Professor in the Department of Mechanical Engineering at Gazi University's Faculty of Engineering. He holds a Ph.D. from The University of Nottingham (2006) and has extensive experience in additive manufacturing, non-traditional manufacturing methods, and advanced manufacturing processes. He leads the Advanced Manufacturing Technologies Research Group (AMTRG) and serves as Editor-in-Chief of the Gazi University Journal of Science (SCI-E indexed). His research focuses on additive manufacturing technologies such as WAAM, laser processing, and material characterization. Education: - Ph.D. (2006): University of Nottingham, School of Mechanical, Materials and Manufacturing Engineering - M.Sc. (1999): Gaziantep University, Mechanical Engineering - B.Sc. (1997): Gaziantep University, Mechanical Engineering Research Interests: His work spans additive manufacturing (e.g., WAAM, electron beam melting), surface finishing techniques (laser polishing, electrochemical machining), and material characterization of alloys like Ti-6Al-4V and INCONEL. He explores thermal behavior, microstructural transformations, and mechanical properties in AM processes. Recent Article Trends: Recent publications emphasize thermal modeling in WAAM, surface integrity of additively manufactured parts, and post-processing techniques like laser shock processing. Key applications include aerospace and defense industries. Grants & Roles: - Executive of TÜBİTAK-funded projects on additive manufacturing for defense and aerospace. - Co-chair of AMCTURKEY conferences (2019, 2021). - Board member of Turkish Additive Manufacturing Association (TAMA). Labs/Teams: He oversees the Advanced Manufacturing Technologies Research Group (AMTRG), focusing on R&D in additive manufacturing, material processing, and advanced manufacturing systems.

• Mechanical Engineering
• Machine Design
• Computer Aided Design and Manufacturing
• +6 more

Olcay Ersel Canyurt is a Full Professor at the Department of Mechanical Engineering, Faculty of Engineering, Gazi University. He holds a PhD from Rensselaer Polytechnic Institute (RPI) and has conducted research at General Motors and Advanced Innovative Technology (AIT). He has served as Associate Professor (2007) and Full Professor (2013) at Pamukkale University before joining Gazi University in 2018. Currently, he is Vice Director of the Additive Manufacturing Technologies Application and Research Center (EKTAM). Education: BSc (Gazi University, 1992), MSc (Northeastern University, 199?), PhD (Rensselaer Polytechnic Institute, 2003) Research focuses on composite materials, mechanical property analysis, rocket warhead design, and advanced manufacturing technologies. He coordinated TÜBİTAK projects on composite materials and served as Editor of Pamukkale University Engineering Sciences Journal (PAJES), contributing to its WOS-ESCI indexing. Active in collaborative projects including EU Horizon 2020, TÜBİTAK Industry Doctorate Programs, and defense industry partnerships. Served on TUBITAK Machinery Manufacturing Technologies Advisory Board (2016–2019). Professional roles include Vice Coordinator of Gazi University Research and Development Institution (2019–2020) and project leadership in Additive Manufacturing and Industry Innovation Networks.

Titus ZahariaView profile

Professor

• Computer Vision
• 3D Point Cloud Compression
• Neural Networks
• +5 more

Titus Zaharia is a Professor at Telecom SudParis, affiliated with the SAMOVAR research department. His work focuses on computer vision, 3D data compression, neural networks, and augmented reality applications. He has contributed extensively to standards like MPEG-4 and MPEG-7, particularly in 3D mesh compression and multimedia indexing. Zaharia leads research in assistive technologies for visually and hearing-impaired individuals, developing systems like DEEP-HEAR and wearable devices for navigation assistance. His work bridges theoretical advancements with practical industrial applications, such as optimizing AR systems for manufacturing and improving public transportation prediction through machine learning. Zaharia has collaborated on projects like the INVENIO platform for content reuse in multimedia production, and his contributions span over 20 years of academic and applied research. Key research areas include dynamic point cloud compression, lightweight neural network libraries (e.g., FasterAI), and multimodal fusion for video advertising and accessibility. He has published over 100 peer-reviewed papers in journals like IEEE Access and Image and Vision Computing, and presented at conferences including CVPR, ICCV, and ISMAR. His research emphasizes real-world impact, addressing challenges in efficient data representation, human-centric technology, and industrial automation.

Kamal RezkView profile

Senior Lecturer

• Computational Fluid Dynamics (CFD)
• Environmental Engineering
• Energy Systems Optimization
• +6 more

Kamal Rezk is a Senior Lecturer in Environmental and Energy Systems Research at Karlstad University, Sweden. His academic journey includes roles such as Lecturer (2011), Associate Senior Lecturer (2014–2020), and his current Senior Lecturer position since 2020. He holds a PhD in Environmental and Energy Systems from Karlstad University (2014), a Licentiate of Engineering (2010), and prior industry experience as a Blade Designer at Kongsberg Maritime (2019) and Rolls Royce Marine (2017). His research focuses on computational fluid dynamics (CFD) modeling for optimizing energy and environmental systems, particularly in heat/mass transfer, dewatering processes in papermaking, and wastewater oxygenation. Teaching spans fluid mechanics, systems analysis, and computational methods at undergraduate and graduate levels, with annual supervision of bachelor’s and master’s theses. Rezk’s publications (2007–2024) emphasize CFD applications in industrial processes, including bubble column oxygen transfer, paper drying simulations, and heat exchanger design. His work bridges academic research with practical industry challenges, emphasizing energy efficiency and sustainability.

Cristóbal CurioView profile

Professor

• Cognitive Architectures
• Deep Learning
• Computer Vision
• +3 more

Prof. Dr.-Ing. Cristóbal Curio is a Professor of Cognitive Systems at the Faculty of Informatics, Reutlingen University since 2014. He also serves as Prodekan for Research. His academic career includes roles at Max Planck Institute for Biological Cybernetics (2004-2013) and Ruhr-University Bochum. Research focuses on cognitive architectures, deep learning, and experimental methodologies applied to robotics, computer vision, and biomedical engineering. Key projects include EU-funded HEIDI and AIDA initiatives, and BMBF KI Delta Learning. Education: 1992-1998: Electrical Engineering and Computer Science degrees at Ruhr-University Bochum and Purdue University 1998-2003: PhD in Computer Science, Ruhr-University Bochum 2014: Habilitation, University of Tübingen Teaching: Courses include Cognitive Systems (Master's), Advanced Image Processing, and Applied Artificial Intelligence. Labs: Leads the Angewandte Künstliche Intelligenz and Ambient Assisting Cloud Lab . Research interests span cognitive systems, neural networks, and human-centric computing with applications in healthcare and autonomous systems. Active in EU and national research programs, publishing extensively on topics like robotic pose estimation, medical image analysis, and human-robot interaction.

• Digital Manufacturing
• Rapid Prototyping
• Computer-Aided Design (CAD)
• +7 more

Richard Glithro is a Lecturer in Digital Manufacturing and Engineering at Bournemouth University, Faculty of Science and Technology, Department of Design and Engineering. He is actively involved in teaching, research, and consultancy, bridging digital design with practical engineering applications. Education: BSc (Hons) in Computer Aided Product Design, Bournemouth University (2006) His research interests center on digital manufacturing, rapid prototyping, CAD, 3D printing, and the integration of virtual reality and AI in design education. He explores the mechanical behavior of additively manufactured materials, especially in medical applications such as prosthetics, and investigates innovative teaching methodologies using immersive technologies. His work emphasizes practical implementation, student engagement, and real-world problem solving. The recent publications reflect a strong trend in applying additive manufacturing to biomedical devices, particularly pediatric and athletic prosthetics, as well as leveraging AI and VR to enhance creative and technical design education. His interdisciplinary work spans engineering, healthcare, and pedagogy. Scientific Awards: Vice-Chancellor's Staff Award - Professional Practice Award, Bournemouth University (2020) Richard Glithro has secured multiple research grants, including projects on 3D-printed prosthetic sockets, material analysis of composite 3D-printed materials, and development of arm prostheses for paracyclists. He supervises and collaborates on student projects, though no formal advisees are listed. He is actively involved in undergraduate teaching across industrial design, product design, and engineering programs, contributing to modules in design communication, engineering mathematics, and digital design tools. He is part of research teams focused on digital fabrication and educational innovation, collaborating with colleagues in engineering, nursing, and design. His work continues to push the boundaries of how digital tools are applied in both education and healthcare.