جست‌وجوی استاد و پژوهشگر

William Clarkمشاهده پروفایل

استادیار

• Geometric Mechanics
• Nonholonomic Systems
• Hybrid Systems
• +۷ مورد دیگر

William Clark is an Assistant Professor in the Department of Mathematics at Ohio University, affiliated with the College of Arts and Sciences. He is based at Morton Hall 527 on the Athens Campus and specializes in geometric mechanics, hybrid systems, and robotic perception. Education: B.S. in Mechanical Engineering, Ohio University, 2015 Ph.D. in Applied & Interdisciplinary Mathematics, University of Michigan, 2020 His research lies at the intersection of applied mathematics and robotics, focusing on geometric mechanics , particularly Lagrangian and Hamiltonian systems, nonholonomic constraints, and stability analysis. He also investigates hybrid systems , including Zeno phenomena and invariant structures in impact systems, with applications to locomotion and control. A third pillar of his work is robotic perception , where he develops geometric and gradient-based methods for sensor registration and pose estimation, often leveraging machine learning techniques. His publications reveal a strong trend in using geometric and topological methods to analyze complex dynamical systems, especially those involving discontinuities and constraints. His work bridges pure mathematical theory with practical applications in robotics and autonomous systems. Scientific Awards: No awards listed in the provided text. Advising and Grants: No students or advisees are listed. No grants or funding sources are mentioned. Labs and Research Teams: No specific lab or research team is mentioned in the provided information.

Vlachos Kostasمشاهده پروفایل

استادیار

• Robotics
• Control of Robotic Mechanisms
• Microrobotics
• +۷ مورد دیگر

Kostas Vlachos is an Assistant Professor in the Department of Computer Science and Engineering at the University of Ioannina, Greece. He has been in this position since 2014, following prior teaching roles at the University of Thessaly (2007–2013). He is a member of the Information Processing and Analysis (I.P.AN.) research group and actively supervises PhD, MSc, and diploma students in robotics and control systems. PhD, School of Mechanical Engineering, National Technical University of Athens, 2004 MSc, Interdepartmental Postgraduate Program in Automation Systems, National Technical University of Athens, 2000 Diploma in Electrical Engineering, Technical University of Dresden, Germany, 1993 His research focuses on robotics and control, with emphasis on microrobotics , haptic mechanisms , medical simulators , and autonomous navigation . He has made significant contributions to over-actuated marine platforms, reinforcement learning for navigation, and tactile robotic systems. His work bridges mechanical engineering and computer science, particularly in intelligent robotic control. The 15 most recent publications highlight a strong trend in autonomous marine robotics , multi-agent reinforcement learning , and intelligent control systems . Key themes include energy-efficient control, obstacle avoidance, sensor fusion, and learning-based navigation. The research spans from theoretical control design to real-world implementation in unmanned surface vehicles and microrobots. Best Student Paper Award, 9th Hellenic Conference on AI (SETN 2016) Vlachos has supervised over 30 students at various levels and has participated in multiple national and European research projects in robotics and automatic control. His teaching includes courses such as Computational Mathematics, Robotics, and Robotic Systems. He collaborates extensively with researchers like E. Papadopoulos and K. Blekas. He leads research within the Information Processing and Analysis (I.P.AN.) group, focusing on intelligent perception and control of robotic systems. His lab works on mobile manipulators, haptic devices, mini-robots, and marine platforms, integrating simulation (ROS/Gazebo) with real-world experimentation.

Mohsen Khademمشاهده پروفایل

استاد

• Robotics
• Computer Vision
• Machine Learning
• +۵ مورد دیگر

Mohsen Khadem serves as a Reader in Robotics at the School of Informatics, University of Edinburgh, where he directs the Surgical and Interventional Robotics Group. He holds dual affiliations with the Institute for Perception, Action and Behaviour and the Center for Inflammation Research and the Institute of Regeneration and Repair. As a UKRI Future Leaders Fellow, his work bridges engineering and clinical medicine through the development of advanced robotic systems for surgical interventions. His research focuses on continuum robotics with primary applications in surgical and interventional robotics. Key areas include surgical robotics and image-guided therapies, computer vision and medical image processing, mechanics-based modeling and simulation, and applications of control theory in robotics. Khadem's approach emphasizes solving clinical problems first, working closely with surgeons to develop appropriate robotic solutions, whether new hardware designs or novel algorithms. His recent publications demonstrate a strong trajectory toward medical robotics applications, particularly in bronchoscopy navigation and surgical skill assessment. The work combines computer vision techniques with robotic control systems to address clinical challenges in minimally invasive procedures, showing increasing sophistication in both image processing and robotic manipulation capabilities. UKRI Future Leaders Fellow Khadem actively supervises multiple PhD students including Balint Thamo (focusing on concentric tube robots), Emile Makute (specializing in machine learning for continuum robots), Alex Adams (working on spectroscopy for cancer diagnosis), and Zhaoxing Deng (researching surgical skill assessment). His major projects include leading the Cyber-Physical System for Unified Diagnosis and Treatment of Lung Diseases and participating in the EPSRC-funded MicroTex research hub. Based at the Bayes Centre and IRR South facilities, Khadem's Surgical and Interventional Robotics Group operates as a cross-institutional research team with strong connections to clinical partners. The lab focuses on developing therapeutic and diagnostic robotic instruments through close collaboration with surgeons and clinicians to identify optimal solutions for specific medical challenges.

Andrew Burrellمشاهده پروفایل

مدرس ارشد

• Virtual Reality
• Augmented Reality
• Digital Media
• +۷ مورد دیگر

Dr. Andrew Burrell is a Senior Lecturer in Visual Communication at the University of Technology Sydney's Faculty of Design and Society. He is a practice-based researcher and educator exploring virtual and digitally mediated environments as sites for the construction, experience, and exploration of memory as narrative. His work sits at the intersection of digital media, virtual reality, and environmental humanities, with a particular focus on more-than-human ecologies and queer approaches to virtual environments. Andrew's research investigates the relationship between imagined and remembered narrative and how the multi-layered biological and technological encoding of human subjectivity may be portrayed within, and inform the design of, virtual environments. His networked projects in virtual and augmented environments have received international recognition, with recent works including "Twice, again" and "overGround:underStory," which explore the role of memory and forgetting in machine-mediated spaces and more-than-human encounters between physical and virtual ecologies. His creative practice informs his traditional research outcomes, which include publications in journals such as the Leonardo Electronic Almanac and Virtual Creativity. Andrew is particularly interested in how emerging and speculative technologies are implicated in more-than-human ecologies, and he uses creative practice to research and understand the complexities of these technologies. Andrew is a member of the UTS Visualisation Institute, a multidisciplinary research group focused on the creation of data visualizations, stories, and immersive experiences, and the School of Design's Critical Visualisation research group. He has received funding from various sources including the Australian Research Council (ARC) Discovery Projects and Create NSW. Research Interests Virtual and Augmented Reality as narrative spaces Memory construction in digital environments More-than-human ecologies and digital storytelling Queer approaches to virtual embodiment Creative applications of machine learning and AI Data visualization and environmental storytelling Accessibility and ethics in digital humanities Notable Projects Twice, again : Examines the role of memory and forgetting in machine-mediated spaces overGround:underStory : Explores entangled networks between physical and virtual ecologies Waves of Words : ARC Linkage initiative investigating language movement in pre-colonial times can't buy me love : A virtual environment collaboration with Amala Groom Layered Horizons : A geospatial humanities research platform Scientific Recognition MMUVE IT - Inter-Arts Office Australia Council Grant (2008) International presentations at conferences including ISEA (International Symposium on Electronic Art) Teaching and Supervision Andrew is an advocate for studio-based learning in which students design solutions to real-world questions through iteration and experimentation. He considers design as an anchor for interdisciplinary practice and regularly brings cross-disciplinary perspectives into his teaching. He currently supervises five PhD and master's students, with an interest in working with students at the intersection of traditional and practice-based research approaches. Research Themes in Recent Publications Andrew's recent publications demonstrate a consistent focus on the intersection of virtual environments, narrative construction, and ecological thinking. His work explores how digital technologies can be used to create new forms of storytelling that acknowledge our entanglement with non-human entities. There's a strong emphasis on ethical considerations in digital design, particularly regarding accessibility and representation. His research also investigates the application of machine learning technologies in creative practice, examining both their potential and limitations for representing human experience.

• Artificial Intelligence
• Data Science
• Computer Vision
• +۶ مورد دیگر

Niklas Beuter is a Professor of Artificial Intelligence and Data Science at TH Lübeck, Germany, within the Department of Electrical Engineering and Computer Science. He has been in this position since 2023, contributing to both research and education in AI and computer vision. His educational background includes a Diplom in Computer Science with a focus on robotics from Universität Bielefeld, completed with distinction, followed by a Ph.D. from the same institution in 2011. His doctoral research centered on 3D human detection and tracking for mobile robotic platforms, supporting situation awareness in dynamic environments. Beuter's research is deeply rooted in artificial intelligence, computer vision, and robotics , with a focus on dynamic 3D scene analysis, human-robot interaction, and autonomous systems . His work bridges theoretical models with real-world applications, particularly in autonomous driving and intelligent robotic perception. He has led research teams in industry, demonstrating strong leadership in applied AI. The trend in his publications reflects a consistent focus on perception systems for robots and vehicles , evolving from foundational work in 3D reconstruction and gesture-based interaction to advanced topics like pedestrian intent forecasting using deep learning. His contributions span top conferences such as IEEE ICRA, CVPR, and Intelligent Vehicles, indicating sustained engagement with the core AI and robotics communities. While no formal scientific awards are listed in the provided text, his leadership roles and publication record reflect significant professional recognition. He actively supervises student theses and invites students to register for thesis topics via email, indicating an ongoing commitment to mentoring. Although no specific grants are mentioned, his industrial and academic research leadership suggests involvement in funded projects. He is a member of research groups including CoSA and serves as Deputy Head of ISy, showing active participation in institutional research organization. His research has been conducted in collaboration with teams at Universität Bielefeld, Daimler Research Center, and Robert Bosch GmbH, reflecting a strong interdisciplinary and industry-academia network. His work continues to influence both academic research and industrial applications in AI and autonomous systems.

• Computer Vision
• Artificial Intelligence
• Robotics
• +۷ مورد دیگر

Christopher McCarthy is an Associate Professor in the Department of Computing Technologies within the School of Science, Computing and Emerging Technologies at Swinburne University of Technology. His research focuses on computer vision algorithms applied to robotics, intelligent transport systems, and assistive technologies, particularly for people with low vision. He serves as Stream Leader in Swinburne’s Innovative Planet Research Institute, leading the Intelligent Transport stream, and is a Chief Investigator in the Australian Cobotics Centre funded by the ARC. He has held research roles at CSIRO Data61, the Bionics Institute, and the University of Melbourne, contributing to bionic eye technology under the Bionic Vision Australia consortium. His research interests include: Computer Vision and AI for real-time systems Robot perception and navigation Assistive technologies for low-vision and blind users Intelligent transport systems and video analytics Human-machine interaction and cyber-human teams His recent publications reflect strong trends in deep learning, continual learning, and real-world deployment of vision systems in transport and healthcare. He has led numerous field trials and evaluations to assess system performance in real-world contexts. His work is highly interdisciplinary, combining computer science with engineering, medicine, and urban planning. Christopher McCarthy has received multiple awards, including: FSET Research Collaboration Award Excellence in Industry Engagement Special Commendation – VC Research Impact Finalist – National Disability Award in Technology Best Paper Award (IEEE) Excellence in Teaching (University of Melbourne) He has supervised over 20 HDR students in areas including robotics, AI, assistive tech, and transport analytics. He has led major research grants from ARC, Defence, SmartCrete CRC, iMOVE, and city councils. He also served as Academic Director for Work-Integrated Learning (2016–2023) and coordinated professional placements. His teaching includes core computer science units such as Computer Systems and Object-Oriented Programming. He maintains ongoing affiliations with: Bionics Institute (Honorary Member) Bionic Vision Australia (Affiliate) Data61 (Honorary Member) Royal Children's Hospital, Melbourne International Task Force for Vision Restoration Outcomes (Chair)

• Artificial Intelligence
• Machine Learning
• Artificial Neural Networks
• +۱۹ مورد دیگر

Professor Stephan Chalup is a leading academic in Artificial Intelligence and Machine Learning at the University of Newcastle , affiliated with the School of Information and Physical Sciences and the Data Science and Statistics department. He leads the Interdisciplinary Machine Learning Research Group (IMLRG) and the Newcastle Robotics Lab , where his team has achieved global recognition, including two RoboCup world championships. PhD in Computing Science , Queensland University of Technology (2002) Diplom in Mathematics with Neuroscience , University of Heidelberg His research focuses on artificial neural networks , deep learning , and high-dimensional data analysis , with applications in robotics, computer vision, medical imaging, and architectural analysis. He investigates how biological neural systems inspire robust AI models, particularly in topological data analysis and 4D vision . The recent publications highlight a strong trend in topological and geometric machine learning , with a focus on 4D data analysis , multi-agent reinforcement learning , and robot perception . His work bridges theoretical AI with practical industry solutions in transport, healthcare, and robotics. RoboCup World Champion (2008, 2006) Leadership Excellence, CESE (2024) Supervision Research Excellence Award (2015) Multiple Best Student Paper Awards (2019, 2018, 2011) Chalup has supervised numerous students and led significant research projects, including the ARC Discovery Project on estimating topology of low-dimensional data. His lab fosters interdisciplinary collaboration and innovation, with alumni working in top global tech roles. He is an active keynote speaker and program committee member in major AI conferences. His labs, including the Newcastle Robotics Lab , are equipped with state-of-the-art robots and computing systems, supporting cutting-edge research in humanoid robotics, autonomous navigation, and AI-driven data analysis.

William Smithمشاهده پروفایل

استاد

• Computer Vision
• Computer Graphics
• Machine Learning
• +۱۵ مورد دیگر

William Smith is a Professor in the Department of Computer Science at the University of York, where he leads the Vision, Graphics and Learning (VGL) research group. He holds a BSc and PhD in Computer Science from the University of York, completed in 2002 and 2007 respectively. He has served in key roles including Director of Admissions, PGT AI Programme Lead, and Research Group Lead. He is an Associate Editor for the journal Pattern Recognition and was a Royal Academy of Engineering/The Leverhulme Trust Senior Research Fellow from 2019 to 2020. Education: BSc in Computer Science, University of York, 2002 PhD in Computer Vision, University of York, 2007 His research lies at the intersection of computer vision, computer graphics, and machine learning. He focuses on physics-based and 3D vision, shape and appearance modeling, and the application of statistical and machine learning methods. Key application areas include face and body analysis, surveying and mapping, object capture, and inverse rendering. His work leverages advanced mathematical tools such as convex and nonlinear optimization, manifold learning, computational geometry, and low-level vision techniques. His recent publications, spanning top venues like ECCV, NeurIPS, WACV, and IEEE T-PAMI, reflect a strong trend in neural scene representation, inverse rendering, and illumination modeling. Themes include relighting outdoor scenes, self-supervised pose estimation, spherical neural fields, and orientation-aware deep learning for omnidirectional inputs. These works demonstrate a consistent focus on integrating physical models with deep learning for robust and interpretable vision systems. Scientific Awards: Royal Academy of Engineering/The Leverhulme Trust Senior Research Fellow (2019–2020) William Smith supervises a team of nine PhD students and has advised several alumni who have gone on to research and industry roles. He has served in significant service roles including Area Chair for ICCV, CVPR, and 3DV, Programme Chair for BMVC 2020, General Chair for CVMP 2019, and reviewer for major conferences since 2008. He is actively involved in the academic community and continues to contribute to cutting-edge research through his leadership in the VGL group at York. The Vision, Graphics and Learning (VGL) group, which he leads, conducts research in computer vision, graphics, and machine learning, with projects such as Branching Out (historic tree mapping), Senior Research Fellowship (model-based vision meets deep learning), Google Daydream (VR/AR head modeling), and LEAPP (polar archival photography). The group fosters a collaborative environment with both current and former members contributing to impactful research.

Hubert Jobمشاهده پروفایل

استاد

• Protected Area Management
• Spatial Planning
• Regional Development
• +۷ مورد دیگر

Univ.-Prof. Dr. Hubert Job is a Senior Professor of Geography and Regional Research at the Institute of Geography and Geology, Faculty of Philosophy, University of Würzburg. His work bridges spatial planning, regional development, and environmental economics with regional focus on Central Europe, the Alps, and Africa. Research Interests : Protected area management, ecological connectivity, sustainable tourism economics, socio-economic impact analysis, cultural landscape preservation, and transnational spatial governance. Projects : Leads PlanToConnect (€301,000 sub-budget) for ecological corridor integration in Alpine spatial systems, contributes to multi-regional input-output analyses (DBU-funded), and evaluates nature tourism impacts in Lüneburger Heide, Wadden Sea, and Bavarian Forest National Parks. Awards : Recipient of the Austrian Geographical Society's Hans Bobek-Preis (2000) for exceptional contributions to geographical research. Collaborations : Chairs ARL European Working Group AlpPlan, collaborates with institutions across Sweden, Mexico, Tanzania, and Italy, and integrates UNESCO MAB frameworks into Alpine conservation.

Tracy L. Kijewski-Correaمشاهده پروفایل

استاد

• Civil Infrastructure Engineering
• Natural Hazard Assessment
• Disaster Mitigation
• +۵ مورد دیگر

Tracy L. Kijewski-Correa is the William J. Pulte Director of the Pulte Institute for Global Development and Academic Director of the Integration Lab (i-Lab) at the University of Notre Dame's Keough School of Global Affairs. She holds a joint appointment as Professor of Civil Engineering and Global Affairs in the Department of Civil and Environmental Engineering & Earth Sciences. Her research focuses on civil infrastructure challenges in both developed and developing contexts, with particular emphasis on natural hazard assessment and mitigation. A co-founder of Engineering2Empower (E2E), she has developed comprehensive strategies for sustainable housing in Haiti, integrating community-led innovation and market-based solutions. Her work spans multiple regions including Haiti, United States, Latin America, Middle East, South Asia, and South Pacific/Oceania. Kijewski-Correa's recent publications demonstrate a clear trend toward leveraging open data and computational approaches for high-fidelity regional loss estimations, particularly for hurricane risk assessment. Her work increasingly integrates computer vision, Bayesian data integration, and component-level fragility modeling to advance the precision of disaster impact predictions while maintaining computational tractability across large building portfolios. Kellogg Institute Faculty Fellow (since 2011) Her research has been supported by multiple grants including projects focused on climate adaptation in Bangladesh and Haiti, community-driven development in Haiti, post-disaster sheltering programs, and technology incubators for sustainable development. As director of the Pulte Institute and Academic Director of the i-Lab, she leads interdisciplinary teams working at the intersection of engineering, global development, and disaster resilience.

• Computer Vision
• Mobile Devices
• Assistive Technology
• +۳ مورد دیگر

Dr. Juan Manuel Sáez Martínez is a full professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante's Higher Polytechnic School II. With a PhD in Computer Engineering and over two decades of academic experience since 2000, he specializes in Computer Vision and Mobile Device Applications for accessibility, particularly for the blind and visually impaired. His groundbreaking NaviLens project—a digital signage system patented internationally by the University of Alicante and licensed to Neosistec SL—represents a significant contribution to assistive technology. Teaching experience across 15+ years in programming fundamentals, computer systems, and internships for telecommunications and multimedia engineering Supervised one PhD thesis on structural similarity in object recognition Active in public research projects including airport navigation systems and airborne obstacle detection for the visually impaired His research interests focus on computer vision algorithms , stereo-based wearable devices , and ultra-efficient artificial vision systems for mobile platforms . Recent work includes biomedical informatics applications like 3D obstacle detection and accessibility-oriented UI design. He has participated in 10+ competitive public research projects (2016-2021) while contributing to technology transfer initiatives. Teaching contributions include 4 quinquennials (five-year terms) and 14+ years of instruction in Programming Fundamentals I for Telecommunication Sound and Image Engineering. Notable collaborations include co-authorship with Dr. F. Escolano on entropy-based SLAM algorithms and Gaussian mixture models for image processing. Current research emphasizes practical applications through the Mobile Vision Research Laboratory (MVRLab) .

Lucia Seminaraمشاهده پروفایل

دانشیار

• Tactile Sensing
• Electronic Skin
• Haptic Robotics
• +۵ مورد دیگر

Lucia Seminara serves as an Associate Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa's Polytechnic School. She teaches Electronic Devices, Sensors, and Sensing Systems for Master's programs in Electronic Engineering and Engineering for Natural Risk Management, while also contributing to Philosophy of Medicine for Philosophical Methodologies. As a member of the Joint Teacher-Student Commission, she bridges academic governance with pedagogical innovation in engineering education. Her research pioneers tactile sensing systems using piezoelectric polymers (PVDF) and electronic skin for robotics and prosthetics. She investigates indentation mechanics on soft electronic skin, grasping speed sensitivity, and hierarchical sensorimotor control frameworks for human-in-the-loop robotic hands. Key innovations include machine learning-based contact force estimation and electrotactile feedback systems that restore natural touch perception in prosthetic devices, addressing critical gaps in sensory substitution technology. Analysis of her 2021-2025 publications reveals escalating integration of machine learning with tactile sensing, particularly in symmetry detection for efficient haptic exploration and transdisciplinary human-in-the-loop applications. Recent work emphasizes real-world implementations like post-stroke rehabilitation systems and high-bandwidth human-machine interfaces, demonstrating a strategic shift from foundational sensor development toward clinically viable solutions with measurable user impact. Dr. Seminara's research lineage includes significant contributions to the Roboskin project (2013), which established large-area tactile sensor arrays for robotics. Her current work extends this foundation through investigations into viscoelastic properties, stress transmission modeling, and AI-driven tactile perception, positioning her at the forefront of intelligent electronic skin development with active collaborations across engineering, neuroscience, and clinical rehabilitation domains.

Martin Magnussonمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +۵ مورد دیگر

Martin Magnusson is a Professor at the Department of Natural Sciences and Technology, Örebro University, leading the Center for Applied Autonomous Sensor Systems (AASS) and the Robot Navigation and Perception Lab . His research focuses on robotics and artificial intelligence , particularly 3D mapping, localization, radar-based navigation, and human-robot interaction . Email: martin.magnusson@oru.se Phone: +46 19 303870 Location: Room T1222 His work addresses fundamental challenges in achieving robust autonomy through innovations like the 3D Normal Distributions Transform (3D-NDT) and methods for scan registration in dynamic environments. Recent research extends to radar-based navigation and heterogeneous map data integration , with ethical implications regarding military applications of autonomous systems. Key research themes include: Autonomous Perception: Radar and lidar sensor fusion for localization Dynamic Mapping: Flow-aware and quality-assessed environmental models Human-Aware Robotics: Predictive modeling for safe shared-space navigation Professor Magnusson teaches Computer Graphics , connecting academic principles (e.g., ray tracing, light scattering) to applied research in radar simulation models and neural rendering . His research projects span DARKO (agile production robots), NiCE (changing environment navigation), and Radarize (underground autonomous vehicles).

• Lighting Design
• Urban Lighting
• Museum Lighting
• +۲ مورد دیگر

Malcolm Innes is a Senior Lecturer at the Edinburgh Napier University's School of Arts and Creative Industries . With over 10 years of research outputs, his work spans lighting design, smart textile applications, and heritage conservation. Specializes in lighting for historical sites Leader in community co-design urban lighting Expert in light-sensitive material preservation Research trends focus on: Merging art and science in illumination Smart textiles for performance environments Heritage site lighting innovation Projects include: 12 Closes Community Co-design (2016-2022) Dunbar SciFest Projection (2015) Edinburgh Zoo Night Trail (2014-2015)

• Social Psychology
• Personality Psychology
• Cognitive Psychology
• +۵ مورد دیگر

Dr. Adam K. Fetterman is an Associate Professor in the Department of Psychology at the University of Houston , with research expertise spanning Social Psychology , Personality , Cognition , and Metaphor studies. He also explores Nostalgia and Media Effects through experimental and social cognitive frameworks. Key Affiliations: University of Houston, Social Psychology Research Group Editorial Role: Editor-in-Chief of Social Psychology (Hogrefe) Research Themes include: Cognitive mechanisms in belief formation Emotional processing via personal experience vs data Effort paradox in social behavior Nostalgia's role in identity and coping Metaphor as cognitive tool Prosocial aggression dynamics Recent Publications focus on effort valuation , empathy regulation , media-politics interactions, and cognitive biases in scientific understanding. Scientific Engagement includes: Editorial leadership in advancing innovative social psychology Advocacy for open science and methodological rigor Mentorship of graduate researchers