Find Academic Supervisors

• Control Systems
• Robotics
• Unmanned Aerial Vehicles
• +3 more

Yuan Yuxia is a Researcher at the Chair of Autonomous Aerial Systems (TULRAAS) within the Technical University of Munich (TUM), actively contributing to both research and teaching missions at the Ottobrunn campus (Lise-Meitner-Str. 9). Her institutional affiliation places her within a leading European research group focused on advanced aerial robotics and control systems under Prof. Ryll's leadership. Her research spans Control Systems , Robotics , Unmanned Aerial Vehicles , Human-Robot Interaction , Brain-Computer Interfaces , and Rehabilitation Robotics , with dual specializations in UAV payload control and wearable assistive devices. She has pioneered dual quaternion methodologies for UAVs with cable-suspended loads to address dynamic instability, while simultaneously developing brain/muscle signal-driven exoskeletons that restore stair-climbing capability for mobility-impaired users. Her technical approach integrates nonlinear control theory, fuzzy neural networks, and reinforcement learning to solve real-world robotics challenges. Analysis of her 15 most recent publications (2018-2025) reveals two dominant research trajectories: (1) Advanced UAV control systems focusing on cable-suspended load manipulation through geometric approaches like dual quaternions, and (2) Rehabilitation robotics emphasizing human-in-the-loop control via physiological signals. These streams converge in her work on brain-controlled mobile robots and adaptive exoskeletons, demonstrating exceptional interdisciplinary synthesis across aerospace engineering, biomedical applications, and machine learning. Her publications consistently target high-impact control challenges with immediate practical relevance. Scientific Awards: No major scientific awards are documented in the provided sources. Advising and Grants: While specific student names and grant details aren't disclosed, her extensive publication record across robotics and rehabilitation domains indicates active supervision of graduate researchers and successful acquisition of competitive research funding. Her collaborations with medical and engineering teams suggest participation in multi-institutional projects addressing both industrial UAV applications and healthcare robotics. Laboratory and Team Affiliations: Yuan operates within TULRAAS's state-of-the-art Ottobrunn facilities specializing in UAV testing and simulation. The group maintains strong industry partnerships for technology transfer, particularly in aerial manipulation and medical robotics. Her position within this internationally recognized chair enables cutting-edge research on autonomous systems with direct pathways to real-world deployment in logistics, search-and-rescue, and clinical rehabilitation settings.

Vinay AakaluView profile

Professor

• Oculoplastics and Reconstructive Surgery
• Ocular Surface Disease
• Corneal Wound Healing
• +4 more

Dr. Vinay Aakalu serves as Professor in the Department of Ophthalmology and Visual Sciences at the University of Michigan, where he holds dual leadership roles as Section Leader and Medical Director for Eye Plastic, Orbital and Facial Cosmetic Surgery and Director of the Ocular Surface Disease Research Program. He additionally serves as Associate Preceptor for the ASOPRS Approved Oculofacial Plastic Surgery Fellowship, training future specialists in oculofacial reconstruction. His academic training includes: Medical Degree from Mount Sinai School of Medicine (2006) Ophthalmology Residency at University of Illinois at Chicago (2010) Oculoplastics and Reconstructive Surgery Fellowship at University of Illinois at Chicago (2012) Dr. Aakalu's research program integrates basic science and clinical innovation across three interconnected domains: ocular surface biology with emphasis on histatin peptide therapeutics for corneal wound healing; advanced oculoplastic techniques including 3D-printed orbital implants and virtual reality surgical training; and translational studies on tear film biomarkers for systemic disease detection. His laboratory has pioneered discoveries regarding histatin-5's anti-inflammatory mechanisms in alkali injury models and its potential for treating dry eye disease. Analysis of his 2023-2025 publications reveals dominant research trajectories in corneal wound healing therapeutics (particularly histatin peptide applications), evidence-based oculoplastic guidelines for the American Academy of Ophthalmology, and surgical innovation through 3D printing and virtual reality. His work consistently bridges molecular mechanisms with clinical applications, with recent studies addressing soft tissue filler complications, eyelid motion biomechanics, and novel reconstruction techniques for periocular malignancies. No scientific awards were documented in the provided source material. As Associate Preceptor for the ASOPRS fellowship, Dr. Aakalu mentors oculofacial surgery trainees in complex reconstruction techniques. While specific grant details weren't provided, his active research program in ocular surface disease and surgical innovation indicates substantial ongoing funding supporting laboratory investigations and clinical trials. He directs the Ocular Surface Disease Research Program, which employs multidisciplinary approaches combining cell biology, peptide therapeutics, and advanced imaging to develop novel treatments for corneal disorders. The program maintains strong clinical integration through collaborations with cornea specialists and oculoplastic surgeons at the Kellogg Eye Center.

Tara AlvarezView profile

Professor

• Neuroscience
• Biomedical Engineering
• Oculomotor Control
• +5 more

Tara Alvarez is a Professor in the Department of Bio-Medical Engineering at New Jersey Institute of Technology (NJIT). Her research focuses on understanding how the brain remaps oculomotor systems through training and vision therapy. Education: Ph.D. in Biomedical Engineering, Rutgers University-New Brunswick (1998) M.S. in Biomedical Engineering, Rutgers University-New Brunswick (1997) B.S. in Electrical Engineering, Rutgers University-New Brunswick (1994) Research Interests span neuroscience, biomedical engineering, and vision science. She investigates neural substrates of vergence eye movements, functional reorganization in convergence insufficiency, and develops diagnostic tools for binocular dysfunctions. Her work integrates fMRI and neuroimaging to study cortical network dynamics. Publication Trends show a focus on convergence insufficiency, neuroplasticity, and eye movement disorders. Her recent articles explore home monitoring devices, accommodative responses, and multimodal neuroimaging analyses, often linking clinical outcomes with neural connectivity patterns post-trauma.

Stella EbnerView profile

Associate Professor

• Printmaking
• Woodcut
• Screenprinting
• +3 more

Stella Ebner serves as Associate Professor of Printmaking within the School of Art+Design at State University of New York at Purchase. Her academic journey includes a BFA from the University of Minnesota and MFA in Printmaking from the Rhode Island School of Design. She maintains active studio hours with Thursday appointments from 10:00-12:00. Professor Ebner's research centers on contemporary print media with specialization in woodcut, screenprinting, and Japanese woodblock techniques. Her artistic practice explores still life composition, domestic symbolism, and narrative through organic forms and everyday objects, often integrating botanical subjects with cultural commentary. Recent works examine agricultural systems, digital culture, and subcultural documentation through meticulous print processes. Her artistic output demonstrates consistent engagement with technical innovation in printmaking, with exhibitions at major institutions including the Bronx Museum of Arts, International Print Center New York, and SFMOMA Artists Gallery. The thematic evolution across her portfolio reveals deepening exploration of eco-critical perspectives and social narratives through print media. Chancellor’s Award of Excellence in Teaching (2024-25) Juanita and Joseph Leff Distinguished Professor (2018-2019) Kala Art Institute Fellowship Minnesota State Arts Board Artists’ Assistance Fellowship Ebner maintains an active studio practice supported by prestigious residencies at MI-LAB (Japan), Tamarind Institute, Lower East Side Printshop, and Kala Art Institute. Her work is held in significant collections including the Cleveland Museum of Art and Minnesota Museum of American Art. She teaches courses including Screenprint, Woodcut, Japanese Woodblock, and Special Topics in Printmaking.

• Information Security
• Cybersecurity
• Biometrics
• +3 more

Bian Yang is a Professor at the Department of Information Security and Communication Technology , Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. His research focuses on biometric data protection , privacy-enhancing technologies , and healthcare cybersecurity since joining NTNU in 2008. Education: Ph.D. (2006), M.S. (2002), B.S. (2000) Research Interests: Secure health data management, privacy-preserving computing, human factors in security, secure biometrics, and multimedia security His work includes establishing the eHealth and Welfare Security (eHWS) group under NTNU's Center for Cyber and Information Security (CCIS) in 2016, aiming to bridge cybersecurity and healthcare sectors. Recent publications emphasize privacy-preserving continuous authentication , generative AI in biometrics , and consent management in IoT . Articles span journals like Pattern Recognition , IEEE Access , and Journal of Personalized Medicine , reflecting interdisciplinary applications of machine learning , GANs , and policy frameworks to healthcare security. Scientific Contributions: Over 15 recent publications address topics such as AI-driven stress detection , security for wearable devices , and cybersecurity in low-income healthcare , with a focus on privacy barriers , adaptive protocols , and multi-party data governance .

Charlie ObimboView profile

Professor

• Computer Systems Security
• Intrusion Detection & Prevention Systems
• Artificial Intelligence
• +10 more

Dr. Charlie Obimbo is a Professor at the University of Guelph specializing in Computer Systems Security . His research focuses on Intrusion Detection & Prevention Systems, leveraging advanced AI methods like Support Vector Machines Deep Learning k-nearest Neighbors for network payload classification. He also investigates Data Encryption , Cryptanalysis , and Differential Privacy to address modern cybersecurity challenges involving mobile device security and privacy preservation in large datasets. Recent research trends highlight his work in Enhancing classifier accuracy-interpretability trade-offs Developing privacy-preserving algorithms for medical data Securing web applications against XSS attacks His publications span top conferences like IEEE Canada International Humanitarian Technology Conference and journals such as International Journal of Advanced Computer Science and Applications . Dr. Obimbo's work bridges critical cybersecurity issues including: Malicious payload detection Backdoor prevention Statistical privacy mechanisms Economic impacts of cyber threats

• Parkinson's disease
• Deep brain stimulation
• Movement disorders
• +5 more

Michael S. Okun is a prominent Professor and Chair of the Department of Neurology at the University of Florida College of Medicine, where he directs the Parkinson's Foundation Center of Excellence. He is internationally recognized as a leading expert in Parkinson's disease and movement disorders with over 986 publications and an h-index of 92. Dr. Okun's research spans multiple critical domains in movement disorders: Diagnosis and clinical management of Parkinson's disease Deep brain stimulation mechanisms, targets, and outcomes Comparative effectiveness of STN versus GPi stimulation Motor and non-motor symptom progression Cognitive and mood aspects of movement disorders The emerging 'Parkinson pandemic' and global disease burden Analysis of Dr. Okun's extensive publication record reveals a career dedicated to bridging basic neuroscience with clinical application. His early work established foundational knowledge about how subthalamic nucleus stimulation changes basal ganglia firing patterns. More recent work addresses the growing public health implications of Parkinson's disease prevalence, with his highly cited 2018 paper on the 'Parkinson pandemic' predicting potential cases exceeding 17 million due to increasing longevity, declining smoking rates, and industrialization. Dr. Okun has made significant contributions to clinical guidelines and consensus statements: Lead author of the influential 2020 JAMA review on Parkinson's disease diagnosis and treatment (over 2,000 citations) Principal investigator for the landmark COMPARE trial comparing cognitive outcomes of different DBS targets Contributor to the 2011 expert consensus on deep brain stimulation for Parkinson disease Developer of innovative rehabilitation approaches like EMST for swallowing disorders As an academic leader, Dr. Okun mentors numerous researchers and clinicians through interdisciplinary collaborations spanning neurology, neurosurgery, psychiatry, and rehabilitation medicine. His work continues to shape global standards for Parkinson's disease management and has directly impacted treatment protocols for thousands of patients worldwide.

Markus HolzbachView profile

Professor

• Material Design
• Visualization and Materialization
• Parametric Design
• +7 more

Markus Holzbach is a Professor of Visualization and Materialization at the Offenbach University of Art and Design (HfG Offenbach), where he has been a faculty member since 2009. He leads the Institute for Materials Design (IMD) and has held significant leadership roles, including Dean and Vice Dean of the Design Department. His academic affiliations extend internationally through visiting professorships at Politecnico di Milano, MIT, RWTH Aachen, and the Berlage Institute. His research centers on material innovation , parametric design , and bio-materialization , exploring the dialogue between materials and their environments. Holzbach’s work emphasizes interdisciplinary experimentation, digital fabrication, and sustainable design practices. Projects like the Angel’s Trumpet and ECHOLOT Pavilion exemplify his integration of nature-inspired forms with interactive technologies. The 15 most recent projects reflect a consistent focus on computational design , material transfer , and sustainable architecture . Themes include responsive environments, modular systems, and the reinterpretation of natural forms through digital tools. His work spans product design, pavilions, housing, and industrial structures, often involving CNC fabrication and algorithmic modeling. Notable scientific awards include the Red Dot Design Award , BEST of SHOW ’16 at ISE 2016 , and the Music Super NAMM Award 2016 for the CURV 500® speaker. He has served on design juries such as the materialPREIS 2018 and Werk.Klasse. Markus Holzbach advises students and leads research teams at the IMD, fostering innovation in material design. His projects often receive institutional or corporate sponsorship, such as Palmengarten Frankfurt and Sonosfera. He has not received mention of formal grants, but his work is supported through collaborative and applied research funding. He directs the Institute for Materials Design (IMD) , a hub for experimental material research, student projects, and public exhibitions. The IMD has showcased work at events like the Triennale di Milano and Passagen Köln, emphasizing hands-on, interdisciplinary exploration of materiality.

Pulkit GroverView profile

Professor

• Information Theory
• Energy-Efficient Communication and Computing
• Neural Sensing
• +7 more

Pulkit Grover is a Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, with additional appointments in the Neuroscience Institute and Biomedical Engineering (by courtesy), and affiliation with the Center for Neural Basis of Cognition. His research spans multiple interdisciplinary domains including information theory, energy-efficient communication and computing, neural sensing, and noninvasive brain stimulation techniques. Dr. Grover received his Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley in 2010, following M.Tech and B.Tech degrees in Electrical Engineering from the Indian Institute of Technology, Kanpur (2005 and 2003). He completed a postdoctoral fellowship at Stanford University (2011-2012) before joining CMU as faculty. His research focuses on developing a science of information for understanding and designing energy-efficient and stable decentralized systems, ranging from low-power communication/computation systems to large control, computational, and biological systems. Key research directions include information theory applied to neural systems, energy-efficient communication and computing, noninvasive neural sensing and stimulation, and coded computation for resilient computing with unreliable elements. His work bridges theoretical foundations with practical implementations, often collaborating with neuroscientists, clinicians, and circuit designers. Analysis of his recent publications reveals significant contributions in noninvasive brain stimulation techniques (including the development of 'DeepFocus'), high-resolution EEG systems, bias reduction in neural sensing for diverse populations, and theoretical frameworks for information flow in computational systems. His work demonstrates strong integration of information theory with neuroscience and engineering applications. NSF CAREER Award (2014) Best paper award at the International Symposium on Integrated Circuits (ISIC) Best student paper award at IEEE CDC 2010 2012 Leonard G. Abraham best paper award from IEEE Communications Society 2011 Eli Jury Award from UC Berkeley AIMBE College of Fellows induction IEEE Information Theory Society Distinguished Lecturer (2022-2023) Dr. Grover has advised numerous PhD students who have gone on to faculty positions at institutions including Dartmouth College, UCSB, University of Maryland, and University of Pittsburgh. His research has been supported by significant grants from NSF (including CAREER and EARS awards), SRC SONIC Center, NIH, DARPA N3 program, Google Faculty Research Award, and CMU internal funding mechanisms. He leads the 'For All Lab' which focuses on engineering principles of devices and systems that are accessible by all and unbiased toward different hair types and skin colors.

Romain NicotView profile

Professor

• Orthognathic Surgery
• Temporomandibular Joint (TMJ) Surgery
• 3D Printing in Medicine
• +4 more

Romain Nicot is a Full Professor at the University of Lille within the Faculty of Medicine , specializing in Oral and Maxillofacial Surgery . He serves as a Research Associate at the French Institute of Health and Medical Research (U0018 - Advanced Drug Delivery Systems) and is affiliated with École Centrale de Lille (UMR9013 - LaMcube) . MD and PhD in Health & Biology from University of Lille Expert in Orthognathic surgery , TMJ surgery , and 3D printing applications in medical contexts Recipient of Prix de l'Innovation Pédagogique en Chirurgie 2020 and Prix de la rédaction - Société Française de Stomatologie 2014 His research focuses on: Innovative 3D printing for surgical planning and education Drug delivery systems in temporomandibular joint disorders Genetic factors in bruxism and muscle phenotypes Animal models for TMJ research Medical education technologies enhancing surgical training His recent publications highlight: Efficacy of botulinum toxin in TMJ osteoarthritis 3D printing for orbital volume measurement Visuospatial learning with printed models Surgical outcomes in complex craniofacial pathologies Scientific contributions include: Over 211 publications with significant impact in craniofacial surgery Systematic reviews on TMJ surgical models and 3D printing applications Development of 3D-printed training models for surgical education He has been actively involved in: Clinical research on drug delivery and TMJ disorders Educational innovations using tactile models for visually impaired Comparative studies of surgical techniques and outcomes

• Computer Music
• Mobile Device Interfaces
• Bio-Technology
• +7 more

Dionisios Politis serves as an Assistant Professor at the Department of Informatics, School of Sciences, Aristotle University of Thessaloniki, where he has established a distinguished interdisciplinary career since his appointment in 2009. His academic foundation includes a BS in Physics (1992), MSc in Physical Electronics (1990), Graduate Diploma in Computing Studies from Royal Melbourne Institute of Technology (1991), and a PhD in Informatics (1998), all from Aristotle University except for the Australian diploma. His professional journey demonstrates steady progression within the university: 1993-2002: Laboratory Teaching Staff at Aristotle University 1993-2002: Research Associate & Programmer at Center of International and European Economic Law 1999-2006: EU Expert on Computer Law for South Eastern Europe & Cyprus 2002: Lecturer at Department of Informatics 2009-Present: Assistant Professor at Aristotle University Dr. Politis's research creates a unique synthesis across computer science, musicology, and law. His primary interests include Computer Music, Mobile Device Interfaces, Bio-Technology applications for Special Education, Interactive Multimedia, and Computer Law. A distinctive hallmark of his work is the connection between ancient musical traditions and modern technology, particularly through groundbreaking projects like ARION for Ancient Greek Music synthesis, Byzantine Server, and various interfaces for Byzantine music notation. Analysis of his scholarly output reveals several converging research trajectories: chromaticism in music theory with mathematical classification methods; digital music libraries and their ethical/legal frameworks; brain-computer interfaces with growing biomedical applications (particularly cochlear implants); and computer law with emphasis on e-justice. His recent publications show an increasing integration of medical technology with music interfaces, demonstrating the evolution of his interdisciplinary approach. Among his significant scholarly contributions is a Best Short Paper Award for his innovative work on variPiano™. He has edited major publications including "Digital Tools for Computer Music Production and Distribution" (2016), "E-Socioeconomic and Legal Implications of Electronic Intrusion" (2009), and "E-Learning Methodologies and Computer Applications in Archaeology" (2008), establishing himself as a thought leader in multiple domains. Dr. Politis has made substantial contributions to educational technology across diverse fields. Through the SEEArchWeb project, he developed virtual learning environments for archaeology incorporating mobile displays and GIS implementations. In medical education, he has pioneered otorhinolaryngology e-learning textbooks and specialized interfaces for healthcare practitioners. His research group, frequently collaborating with M. Tsaligopoulos, G. Kyriafinis, and D. Margounakis, continues to push boundaries at the intersection of music technology, human-computer interaction, and biomedical applications while maintaining strong connections to cultural heritage preservation through projects like Mediterranean Colors, Kalliope Server, and Meteora Server.

• X-ray Imaging
• Grating Interferometry
• Low Field NMR Devices
• +3 more

Bernhard Gleich is a faculty member at the Technical University of Munich (TUM), affiliated with the Munich Institute of Biomedical Engineering (MIBE) and the Chair of Biomedical Physics. His academic rank is Lecturer, and he contributes to teaching courses including Biostatistics and Signal Theory. His research focuses on advanced biomedical imaging and instrumentation, with key interests in X-ray tensor tomography, grating interferometry applications, low-field NMR device development, and high-frequency transcranial magnetic stimulation. His work bridges medical diagnostics and engineering innovation. Gleich's recent publications (2019–2024) demonstrate a strong focus on optimizing X-ray imaging techniques, particularly dark-field radiography and computed tomography. His research consistently addresses clinical applications such as fracture detection, pulmonary disease diagnosis, and COVID-19 imaging, with innovations in beamline instrumentation and dose reduction. He maintains active collaborations at the Munich Compact Light Source (MuCLS) and contributes to developing next-generation imaging platforms. No awards or student advisorship details were identified in available materials.

Halimat AlabiView profile

Lecturer

• Educational Technology
• Learning Analytics
• Interactive Visualization
• +3 more

Halimat Alabi is a Lecturer in Educational Technology at the University of British Columbia. With an interdisciplinary background spanning acoustical engineering, multimedia production, and educational technology, her work bridges technology, design, and pedagogy. She has taught across departments including Mathematics, Game & Simulation Programming, and Web Design & Interactive Media, integrating her industry experience from PBS, FOX, CBS, Sony, and THQ. Her research focuses on how learners interpret learning analytics visualizations and the role of technology in empowering learners. Key Roles : MET Lecturer, Interactive Visualization Designer Courses Taught : ETEC 510, ETEC 512, ETEC 524, ETEC 533, ETEC 543, ETEC 565H Her research explores the intersection of learning analytics and visual cognition , examining how learners assess their academic performance through data visualization. She investigates feedback mechanisms , digital accessibility , and the societal implications of educational technologies . Halimat's recent publications highlight trends in educational data visualization , wearable technology , and interactive learning environments . Her work emphasizes user experience, data interpretation, and inclusive design. Scientific Awards : SSHRC Doctoral Fellowship She has also contributed to accessibility frameworks and multimedia marketing strategies, reflecting her broad expertise in digital media and education.

Tom GriffithsView profile

Lecturer

• Assistive Technology
• Augmentative and Alternative Communication (AAC)
• Eye-tracking Technology
• +6 more

Tom Griffiths is a Lecturer in Assistive Technology at the School of Science and Engineering, University of Dundee, focusing on Augmentative and Alternative Communication (AAC) and eye-gaze control technology. As a registered Clinical Scientist, he combines clinical expertise with research to improve communication solutions for nonspeaking individuals. Education: PhD (2020, University College London), MA in Applied Linguistics (2005, Cardiff University), BA in English Language & Linguistics (2004, University of Surrey) His research explores the intersection of assistive technology , functional vision , and user-centered design for children and adults with disabilities. Recent work includes commercial product development (e.g., PANORAMIC Mio-Mask) and national AT professional competency frameworks. Publications highlight trends in eye-tracking technology for cerebral palsy and text-entry acceleration interfaces . Collaborations span institutions like Great Ormond Street Hospital and Cambridge University Hospitals NHS Trust, with presentations at key conferences on AAC clinical guidelines. Active in academic activities including peer-review, invited talks, and the All-Party Parliamentary Group for Assistive Technology. He supervises PhD students and contributes to SDG 4 (Quality Education) through AT research.

• Parallel Computing
• Bioinformatics
• Data Science
• +7 more

Sophie ROBERT is a Lecturer at the University of Orleans , affiliated with the LIFO lab (Building IIIA, 6 rue Léonard de Vinci). She serves as a Team Leader and Board Member for the Pamda Working Group - Sustainable Development . Her work spans interdisciplinary domains including parallel computing, bioinformatics, and scientific visualization. Research Focus: Parallel algorithms, distributed systems, and scalable data processing Key Tools: FastFlow, MapReduce, LSH Applications: Genomic analysis, neural network training, geospatial data Her publications demonstrate expertise in parallelization techniques for large-scale data analysis, including contributions to RNA-Seq processing , LSH-based similarity joins , and DNN distributed training . She also explores domain-specific languages like GeoSkelSL for geoscience applications. As an active academic, she collaborates with institutions across France and participates in interdisciplinary projects bridging computational methods with environmental and healthcare domains. Her email is sophie.robert@univ-orleans.fr .