Find Academic Supervisors

Nianyi LiView profile

Assistant Professor

• Machine Learning
• Computer Vision
• Computational Photography
• +1 more

Nianyi Li is an Assistant Professor in the School of Computing at Clemson University. He holds a B.E. in Electronic and Information Engineering from Huazhong University of Science and Technology and a Ph.D. in Computer and Information Sciences from the University of Delaware. His research focuses on machine learning, computer vision, computational photography, and medical image processing. He has served as an Area Chair for NeurIPS 2024 and CVPR 2023/2024, demonstrating leadership in the academic community. Education: Ph.D., Computer and Information Sciences, University of Delaware (Advisor: Jingyi Yu) B.E., Electronic and Information Engineering, Huazhong University of Science and Technology Research Interests: Machine Learning Computer Vision Computational Photography Medical Image Processing His work includes contributions to atmospheric turbulence removal, microscopy video denoising, and deep learning applications in medical imaging. Key projects include the 'Turb-Seg-Res' pipeline for dynamic video restoration and the NimBLE non-rigid hand model. Recent articles focus on unsupervised methods for object segmentation, fluid surface reconstruction, and medical image analysis. Awards and grants are not explicitly listed but reflect his active research contributions.

• Robotics
• Autonomous Systems
• Artificial Intelligence
• +3 more

Brendan Englot is the Anson Wood Burchard Endowed Professor and Director of the Stevens Institute for Artificial Intelligence (SIAI) at Stevens Institute of Technology. He holds a Ph.D., S.M., and S.B. in Mechanical Engineering from MIT. His research focuses on perception, navigation, and decision-making algorithms for mobile robots in complex environments, particularly underwater and autonomous systems. He has held roles such as Professor (2024–present), Associate Professor (2020–2024), and Assistant Professor (2014–2020) at Stevens, and previously worked at the United Technologies Research Center and Yale University. Education: Ph.D., Mechanical Engineering, MIT, 2012 S.M., Mechanical Engineering, MIT, 2009 S.B., Mechanical Engineering, MIT, 2007 Research Interests: Englot’s work emphasizes robust autonomy for unmanned vehicles in degraded conditions, leveraging AI to enhance situational awareness and decision-making under uncertainty. Key areas include navigation algorithms for underwater, aerial, and ground vehicles, sensor fusion, and multi-agent systems. Awards: AMiner’s Top 100 Robotics Scholars (2023, 2024) Provost’s Award for Research Excellence (2021) NSF CAREER Award (2017) ONR Young Investigator Award (2020) Grants & Advising: Englot has secured over $5M in grants as PI, including projects on underwater exploration, reinforcement learning for navigation, and robotic inspection systems. He mentors students in robotics, autonomy, and AI applications. Labs & Teams: Leads the SIAI and collaborates on projects involving autonomous vehicles, SLAM systems, and marine robotics through Stevens’ interdisciplinary initiatives.

• Mechanoresponsive Materials
• Supramolecular Self-Assembly
• Smart Delivery Systems
• +3 more

Xiaocun Lu is an Assistant Professor in the Department of Chemistry & Biochemistry at Clarkson University's Coulter School of Engineering & Applied Sciences and Director of the SmartPASS Lab. His research focuses on mechanoresponsive materials, supramolecular self-assembly, and micro/nanocapsule-based smart delivery systems for applications in sensing, self-healing, and controlled release. Education includes: Chemistry and MatSE Postdoctorate - University of Illinois at Urbana-Champaign (2015) PhD in Polymer Science - The University of Akron (2013) BS in Chemistry - Peking University (2005) His research integrates contact-initiated polymerization (CIP) and aggregation-induced emission (AIE) to develop next-generation stimuli-responsive materials. Current projects aim to create autonomous materials for chemical sensing, structural health monitoring, and controlled payload release, with emphasis on designing mesoscale structures like functionalized colloids and metallosupramolecular architectures. Publications demonstrate expertise in mechanochromic materials, encapsulation technologies, and self-assembly. Recent articles explore force-induced chromism, self-reporting coatings, and ion-triggered release systems. Trends highlight innovation in polymer chemistry, material responsiveness, and nanoscale engineering. No awards are listed in the provided information. No specific advising or grant information is explicitly mentioned in the text. Leads the SmartPASS Lab focusing on stimuli-responsive materials. Research involves interdisciplinary collaboration across chemistry and materials engineering.

Raj ManglikView profile

Professor

• Heat Transfer
• Thermal Engineering
• Fluid Dynamics
• +7 more

Dr. Raj M. Manglik is a Professor of Mechanical & Materials Engineering and Director of the Thermal-Fluids & Thermal Processing Laboratory at the University of Cincinnati. His research focuses on interfacial phenomena, molecular dynamics, heat transfer enhancement, and thermal systems design. He holds a Ph.D. from Rensselaer Polytechnic Institute, an M.S. from Iowa State University, and a B.Tech. from Indian Institute of Technology Madras. Dr. Manglik has secured over $9.5M in grants, including recent projects on advanced dry-cooling systems, 3D printed ceramic heat exchangers, and thermal energy storage. His work spans experimental and computational studies of heat exchangers, non-Newtonian fluids, and phase-change materials. He has authored numerous peer-reviewed publications and co-edited books such as Principles of Heat Transfer . Awards include the ASME Heat Transfer Memorial Award (2016), ASME James Harry Potter Gold Medal (2018), and multiple university teaching and research accolades. His lab explores topics like boiling heat transfer, drop impact dynamics, and energy-water nexus solutions in power plants.

• Artificial Intelligence
• Computer Vision
• Digital Agriculture
• +3 more

Ferdous Sohel is a Professor of Information Technology at Murdoch University and inaugural lead of the Agricultural Technologies program. His research spans AI, computer vision, and digital agriculture, with applications in medical imaging and environmental monitoring. He received the Mollie Holman Doctoral Medal and Vice Chancellor's Early Career Research Award. Research Impact: Developed innovative AI models for aquaculture oxygen prediction, 3D object tracking, quantum neural networks, and prohibited item detection. His work advances precision agriculture through hyperspectral classification frameworks and irrigation decision systems. Professional Service: Associate Editor for IEEE Transactions on Multimedia and senior IEEE member. Current projects include adversarial robustness for LiDAR systems and lightweight dormitory security networks.

Brent BobickView profile

Lecturer

• Developmental Biology
• Veterinary Anatomy
• Cell Biology
• +3 more

Brent Bobick is a Lecturer at the Department of Veterinary Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan. He serves as Director of the Anatomy Lab and coordinates courses such as VBMS 314.3 (comparative anatomy) and VBMS 250.9 (veterinary anatomy). His roles include delivering lectures, lab instruction, and training teaching assistants. Dr. Bobick holds a BSc (Hons) from the University of Saskatchewan, a PhD, and postdoctoral fellowships at institutions like NIH and the University of Calgary. His research and teaching focus on anatomy, developmental biology, and skeletal systems. He has developed innovative virtual anatomy resources, including 3D models of anatomical structures on Sketchfab. His work emphasizes hands-on training in gross anatomy and the application of molecular biology to understand skeletal development. Dr. Bobick has received numerous teaching awards, including the 2024 Western Canadian Veterinary Students’ Association Pre-Clinical Professor of the Year and the 2023 Zoetis Carl J. Norden Distinguished Teacher Award. He supervises student research projects and coordinates graduate seminars, fostering academic mentorship. His lab work integrates anatomical education with cutting-edge 3D visualization tools. Research interests span chondrogenesis, gene regulation in skeletal development, and biomechanical influences on joint formation. His publications explore signaling pathways like MEK-ERK and SHOX/Shox2 genes in limb and facial cartilage development.

• Early Buddhism
• Gandharan Studies
• Religion and Materiality in South Asia
• +3 more

Prof. Dr. Jessie Pons is a Professor of South Asian Religious History at Ruhr University Bochum (Germany), affiliated with the Centre for Religious Studies (CERES). She holds a Ph.D. in Art History from the University of Paris-Sorbonne (2011) and has held postdoctoral and visiting research positions at institutions including the Käte Hamburger Kolleg. Her expertise spans Gandharan Studies, Early Buddhism, religion and materiality, and digital humanities. Pons leads projects like DiGA (Digital Gandharan Artefacts) and the Pelagios Working Group, advancing digital preservation of Buddhist cultural heritage. She teaches courses on South Asian religions and has supervised multiple Ph.D. students. Her research focuses on Gandhara’s artistic networks, Mahayana Buddhism’s emergence, and religious material heritage preservation. Education: Ph.D., Art History, University of Paris-Sorbonne (2011) M.A., Museum Studies, École du Louvre (2005) B.A., Art History & Archaeology, SOAS, London (2002) Research Interests: Early Buddhist Art and Networks in Gandhara Material Culture and Religious Experience Digitization of Cultural Heritage Inter-religious Dynamics in South Asia Recent Projects: DiGA: Digital Documentation of Gandharan Artefacts Pelagios Working Group: Linked Data Methodologies Co-edited De l'Oxus au Gange (2024) Grants & Roles: Principal Investigator, SFB 1475 „Metaphern der Religion“ Directorial Member, CERES Coordinator, „Religion & Medien“ initiative

Karl BertlingView profile

Senior Lecturer

• Laser Feedback Interferometry
• Terahertz Imaging
• Biomedical Engineering
• +3 more

Dr. Karl Bertling is a Senior Lecturer in the School of Electrical Engineering and Computer Science at The University of Queensland (UQ). His research focuses on pioneering imaging and sensing techniques using laser feedback interferometry (LFI), particularly with terahertz quantum cascade lasers (QCLs). Key areas include early melanoma detection, agricultural photonics, and near-field terahertz imaging of nanomaterials. He holds a PhD in Engineering from UQ (2012) and has authored over 140 publications in journals like Optics Express and IEEE Transactions . His work spans diverse applications: from biomedical imaging to cultural heritage preservation, leveraging LFI for non-destructive analysis. Collaborations include projects with institutions like the Queensland Brain Institute and industry partners. Bertling’s expertise bridges materials science, photonics, and quantum technologies, with contributions to THz nanoscopy and quantum device characterization. Research interests include: Terahertz QCL-based imaging and sensing Biomedical applications: skin pathologies and cancer detection Agricultural monitoring via terahertz hydration sensing Nanostructure analysis using THz nanoscopy Grants and funding: Multiple Australian Research Council (ARC) grants and industry partnerships support his work. Ongoing projects explore THz photonics for precision agriculture and quantum material characterization.

Chenliang XuView profile

Associate Professor

• Computer Vision
• Audio-Visual Learning
• Vision and Language
• +5 more

Chenliang Xu is an Associate Professor in the Department of Computer Science at the University of Rochester, affiliated with the Goergen Institute for Data Science and Artificial Intelligence (GIDS-AI). His research focuses on computer vision, audio-visual learning, and trustworthy AI. He holds a PhD from the University of Michigan (2016), with prior degrees from Nanjing University of Aeronautics and Astronautics and the University at Buffalo. Notable awards include the Best Paper Award at ACCV 2024 and the James P. Wilmot Distinguished Professorship. His work spans interdisciplinary topics such as video understanding, multimodal reasoning, and robust AI. Key research contributions include audio-visual scene synthesis, bias mitigation in models, and applications in public health. He has secured over $3M in grants, including NIH funding for AI-driven video description tools and public health initiatives. Prof. Xu advises a dynamic research group with 11 PhD students and numerous collaborators. His lab explores cutting-edge projects like egocentric audio-visual understanding, generative AI for avatars, and multimodal defense mechanisms. He teaches courses in machine vision, deep learning, and advanced computer vision.

Christoph T. KochView profile

Professor

• Electron Microscopy
• Materials Science
• Condensed Matter Physics
• +3 more

Christoph T. Koch is a Professor of Physics at Humboldt-Universität zu Berlin, where he has held the W3 Chair since 2015. Previously, he held a similar position at Ulm University (2011–2015), supported by the Carl Zeiss Foundation. His research focuses on advanced electron microscopy techniques, including quantitative transmission electron microscopy (TEM), electron holography, and strain mapping. He leads the AG Strukturforschung/Elektronenmikroskopie group, advancing materials science through innovations in imaging and spectroscopy. Education: B.Sc./M.Sc. in Physics at Heidelberg University (1996–1998), followed by an exchange at Arizona State University (1997–1998). PhD in Physics from Arizona State University (2002, advisor: Prof. John C.H. Spence). Postdoctoral research at the Max Planck Institute for Metals Research, Stuttgart (2002–2011). Research interests include: Electron diffraction and phase retrieval Nanometer-scale strain and defect analysis Electron energy-loss spectroscopy (EELS) for plasmonics and bandgap mapping Development of FAIR data infrastructure for materials science Leadership: Managed the Department of Physics at Humboldt University (2020–2024). Collaborates widely, with key co-authors including P.A. van Aken, W. Sigle, and C. Felser. His work bridges experimental microscopy and computational modeling, addressing challenges in semiconductors, ceramics, and 2D materials. Notable contributions include pioneering methods for 3D reconstruction via electron ptychography, dynamic electron diffraction analysis, and strain mapping in advanced CMOS technologies. Current efforts emphasize real-time imaging and AI-driven data analysis in materials research.

Oscar Mendez MaldonadoView profile

Lecturer

• Robotics
• Artificial Intelligence
• Computer Vision
• +3 more

Oscar Mendez Maldonado is a Lecturer in Robotics and Artificial Intelligence at the University of Surrey's School of Computer Science and Electronic Engineering, affiliated with the Robotics Department and CVSSP Centre. He holds a PhD (2018) and BEng (2013) from the University of Surrey. His research focuses on Machine Learning, Computer Vision, and Robotics, with emphasis on autonomous systems, localisation, and SLAM applications. Key projects include the Autonomous Valet Parking (AVP) system for indoor navigation and the SMILE project for sign language assessment using AI. He has supervised students like James Ross (Autonomous Vehicles), Xihan Bian (Reinforcement Learning), and Nimet Kaygusuz (Visual Odometry). Notable achievements include the Sullivan Thesis Prize (2018) and impactful publications in IEEE conferences (e.g., ICRA, CVPR, IROS). Research spans topics like 3D hand pose estimation via diffusion models, graph-based visual odometry fusion, and Raman spectroscopy for localisation. He contributes to open-source tools (e.g., RaSpectLoc GitHub) and collaborates with industry partners like Parkopedia. His work bridges theoretical advances with real-world applications in autonomous systems and healthcare.

Ehud SharlinView profile

Professor

• Human-robot interaction
• Tangible user interfaces
• Virtual reality
• +4 more

Ehud Sharlin is a Professor in the Department of Computer Science at the University of Calgary, Faculty of Science. His research focuses on Human-Computer Interaction (HCI) with specializations in human-robot interaction, tangible interfaces, virtual/augmented reality, and autonomous vehicle interactions. He holds a Ph.D. in Computing Science from the University of Alberta (2003), and M.Sc. and B.Sc. degrees in Electrical and Computer Engineering from Ben-Gurion University of the Negev (1997 and 1990). Teaches CPSC 481: Human-Computer Interaction I Recipient of the NSERC Discovery Accelerator Award (2019), ACM Creativity & Cognition Honourable Mention (2018), and multiple academic excellence awards Active in industry collaborations, particularly in medical simulation (e.g., VRSpineSim) and geosciences (e.g., PLANWELL) Research explores: Embodied interaction through robotics and wearables Autonomous vehicle-pedestrian communication systems Immersive tools for creative and professional domains Accessibility in human-technology interfaces Publications span over 100 peer-reviewed works, emphasizing design methodologies, user experience in XR systems, and ethical considerations in sociotechnical systems. His work bridges technical innovation with human-centered design principles.

Simon MochrieView profile

Professor

• Biophysics
• Condensed Matter Physics
• Single Molecule Biophysics
• +7 more

Simon Mochrie is a Professor of Physics and Applied Physics at Yale University, affiliated with the Department of Physics within the Faculty of Arts and Sciences. His research focuses on experimental biophysics and condensed matter physics, with emphasis on chromatin dynamics, nuclear mechanics, and super-resolution microscopy. He holds a Ph.D. from MIT (1985) and has pioneered techniques such as optical tweezers and STED microscopy to study biological systems like the ubiquitin-proteasome system in yeast. Current projects include single-molecule measurements on nucleosomes and developing novel imaging methods like LIVE-PAINT for live-cell super-resolution imaging. Educations: Ph.D., Physics, MIT (1985) Research interests center on understanding how chromatin organization influences nuclear mechanics, with studies on heterochromatin condensation, cohesin-driven loop extrusion, and chromatin-envelope interactions. His lab develops advanced microscopy techniques to visualize protein dynamics and subnuclear structures in real time. Recent work explores diffusive states of membrane proteins and the role of phase separation in heterochromatin mechanics. His articles demonstrate a focus on interdisciplinary approaches, combining biophysical experimentation with computational modeling to elucidate fundamental mechanisms in cell biology and soft matter physics. Notable themes include the interplay between chromatin structure and nuclear stiffness, loop extrusion dynamics, and quantitative analysis of intrachromosomal contacts. Teaching contributions include developing introductory physics courses tailored for life sciences students, emphasizing applications in biology and medicine. He actively participates in STEM education initiatives, including collaborative research networks for graduate students in physical biology. The Mochrie Lab also emphasizes instrumentation innovation, such as building fast-scanning STED microscopes and reversible peptide-based imaging systems.

Agnieszka RoginskaView profile

Professor

• Immersive Audio
• 3D Audio Technology
• Spatial Sound
• +5 more

Agnieszka Roginska is a Professor of Music Technology at the Steinhardt School, New York University, specializing in immersive audio, spatial sound, and auditory displays. Her work integrates acoustic science with virtual reality and medical applications, including postural stability studies for vestibular rehabilitation. She holds leadership roles as AES President-Elect and co-edited the authoritative book 'Immersive Sound'. Education: B.A. in Piano Performance and Computer Applications in Music (McGill University, 1996); M.M. in Music Technology (NYU, 1998); Ph.D. in Music Technology (Northwestern University, 2004). Research focuses on 3D audio technologies, auditory displays for virtual environments, and sensory integration studies. She leads NYU's Music and Audio Research Lab (MARL) and advises the Society for Women in TeCHnology (SWiTCH) at NYU. Awards include AES Fellowship and leadership in international audio engineering societies. Recent publications emphasize audio's role in postural control, distributed music performance frameworks (Holodeck), and VR sound design. Her work bridges technical innovation with artistic applications, including collaborative music systems in mixed reality.

• Perception Engineering
• Extended Reality
• Virtual Reality
• +7 more

Mark Bo Jensen is an Assistant Professor (tenure track) at the Department of Engineering Technology and Didactics, Technical University of Denmark (DTU), specializing in Energy Technology and Computer Science. His research is centered on Perception Engineering and Extended Reality technologies, particularly Virtual Reality (VR), with applications in human cognition, computer graphics, and scientific visualization. His research interests lie at the intersection of engineering and cognitive sciences, focusing on creating immersive and convincing extended reality experiences. Jensen applies his over 10 years of expertise in real-time computer graphics to advance VR systems for perception modeling, geometric data visualization, and material appearance simulation. His work contributes to fields such as medical diagnostics, 3D annotation, and photorealistic rendering. The recent publications highlight a strong trend in leveraging VR for scientific tasks, such as anatomical landmark annotation and visual field testing, as well as advancing core graphics techniques like meshlet optimization and diffusion-based stereo image generation. His research integrates computer vision, graphics algorithms, and human-centered design. While no scientific awards are currently listed, his active participation in research projects and consistent publication output indicate a growing academic profile. He has contributed to interdisciplinary collaborations involving medical, biological, and engineering domains. Jensen has been involved in advising and research projects, including serving as a PhD student in the 'Virtual Reality-Based Visualization of Geometric Data' project and currently as a project participant in 'AL-EYE: The Visual Aid'. These projects reflect his focus on applied VR solutions and data understanding. His work is conducted within the Energy Technology and Computer Science division at DTU, where he contributes to advancing perception-driven technologies and their practical implementation in scientific and medical contexts.