Find Academic Supervisors

• Ergonomics
• Musculoskeletal Disorders Prevention
• Biomechanical Exposure Measurement
• +7 more

Mikael Forsman serves as Professor and Head of the Division of Ergonomics at KTH Royal Institute of Technology's School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH). With a PhD in Medical Electronics from Chalmers University (1995), he has specialized in ergonomics research since 1994, developing both advanced research methods and practical tools for practitioners. His work spans laboratory experiments, field studies, and participative interventions at individual and organizational levels. M.Sc. (E. Eng.) from Chalmers University of Technology, Göteborg (1987) Ph.D. in Medical Electronics from Chalmers University of Technology (1995) Docent of Ergonomics, Department of Human Factors Engineering (1999) Forsman's research centers on reliable measurement methods for ergonomic risk assessment and prevention of musculoskeletal disorders. Key areas include: Development of inexpensive, user-friendly systems using microelectronics for biomechanical exposure measurement Field studies of physical and psychosocial exposures across various occupations Creation of questionnaires and investigation of correlations between work ability, musculoskeletal pain, and workload Work accident prevention and analysis Participative ergonomic interventions at multiple organizational levels Analysis of his recent publications (2023-2025) reveals three dominant research trends: (1) Development and validation of wearable sensor technologies for real-time ergonomic assessment; (2) Application of ergonomic principles in specialized fields like surgery, construction, and waste management; (3) Integration of human factors with digital technologies such as BIM. His work consistently bridges theoretical biomechanics with practical workplace solutions, emphasizing accessible methods for practitioners. Forsman has supervised approximately 20 master's theses and served as main supervisor for 3 doctoral theses with 8 additional co-supervised theses. Currently, he supervises 3 PhD students as main supervisor and 4 others as co-supervisor. He has led approximately 12 research projects and participated as co-applicant in about 20 projects funded by research councils. His educational contributions include responsibility for numerous master's level courses in ergonomics and work environment. As leader of KTH's Division of Ergonomics, Forsman directs research on biomechanical exposure measurement and practical ergonomic interventions. He actively promotes Nordic collaboration in ergonomics research, noting similarities in work life and research traditions across the region. Current projects include the Smart Workwear Consortium developing systems with real-time vibrotactile feedback for reducing postural exposure in industrial settings, and research on leadership aspects associated with digital technology adoption in construction.

Steven RamanView profile

Clinical Professor

• MRI Imaging of Prostate Cancer
• Liver and Kidney Cancer Imaging
• Gynecological Cancers Imaging
• +7 more

Dr. Steven Raman is a Clinical Professor in the Department of Radiological Sciences at the David Geffen School of Medicine, University of California, Los Angeles (UCLA). He serves as Director of Prostate MR Imaging and Interventions, Director of the UCLA Prostate MR Imaging Research Group, Director of the Abdominal Imaging Fellowship at UCLA, and Co-director of the Fibroid Treatment Program. Dr. Raman is an expert in Abdominal and Pelvic imaging (CT, MRI, Ultrasound and X-Ray) and interventional radiology, particularly in tumor ablation and Fibroid Treatment. Dr. Raman received his MD from Keck School of Medicine of the USC in 1993. He completed his Internship in Internal Medicine at Pacific Presbyterian Medical Center in 1994, Residency in Radiological Sciences at UCSD School of Medicine in 1998, and Fellowship in Abdominal Imaging at UCLA Department of Radiology in 1999. He is board certified in Diagnostic Radiology by the American Board of Radiology since 1998. His research focuses on MRI Imaging of Prostate, Liver, Kidney and Gynecological Cancers, Thermal Ablation techniques including microwave, cryo, HIFU and Irreversible Electroporation, and the application of Artificial Intelligence in Radiogenomics. His clinical expertise spans advanced imaging techniques with minimally invasive treatments for various cancers and conditions, with particular emphasis on prostate cancer diagnosis and treatment. Dr. Raman's publication record demonstrates a strong focus on cancer imaging and treatment across multiple organ systems. His work consistently bridges advanced imaging techniques with clinical applications, particularly in prostate cancer where he has contributed significantly to MR-guided biopsy techniques, image-pathology correlation, and surgical planning. His recent work increasingly incorporates AI applications for cancer detection. Super Doctors® Southern California, 2023-2025 Top Doctors, Los Angeles Magazine, 2021 Best Doctor, 2021 Super Doctors® Southern California, 2017-2021 Leading Physicians of the World, 2021 As Director of the Abdominal Imaging Fellowship at UCLA, Dr. Raman mentors radiology fellows in advanced imaging techniques and interventional procedures. His research group focuses on developing AI to better detect aggressive prostate cancer, with recent funding of $3 million for this purpose. His clinical work at the Westwood Imaging Center focuses on minimally invasive treatments for prostate cancer, liver diseases, and fibroid treatment, with particular expertise in image-guided thermal ablation therapies. Dr. Raman leads comprehensive clinical programs including the UCLA Uterine Fibroid Program and Fibroid Treatment Program, providing state-of-the-art care for women with uterine fibroids. His work on percutaneous image-guided thermal ablation for metastatic gynecologic cancers has been recognized as safe and effective therapy, demonstrating his commitment to advancing minimally invasive treatment options.

• Virtual Reality (VR)
• Human-Computer Interaction
• Haptic Feedback Systems
• +7 more

Roope Raisamo is a Professor in the Department of Computing Sciences at Tampere University, part of the Faculty of Information Technology and Communication Sciences. His research focuses on advanced human-computer interaction, virtual/augmented reality systems, haptic feedback technologies, and their applications in medical, automotive, and assistive technology domains. He leads multidisciplinary projects involving collaboration with industry partners like car manufacturers and healthcare institutions. Key areas of expertise include: (1) Design of immersive XR environments with multimodal feedback integration, (2) Haptic actuator development using smart materials like magnetorheological fluids, (3) Ergonomic interfaces for autonomous vehicles, and (4) Accessibility solutions for seniors and disabled populations. His work bridges theoretical HCI research with practical applications seen in surgical training systems, automotive UIs, and wearable communication aids. Raisamo's research outputs from 2023-2025 show strong focus on: - Sensory augmentation in food perception through XR (2025) - Medical VR applications for surgical planning and tumor visualization (2024-2025) - Haptic-mediating technologies for automotive and industrial interfaces (2023-2025) He has pioneered the use of embedded haptic waveguides in steering wheel interfaces and developed novel textile-based AAC systems for non-verbal communication. Current projects include exploring the medical metaverse for collaborative surgical planning and creating AI-enhanced research tools like TAUCHI-GPT.

Szymon PłotkaView profile

Researcher

• Medical Imaging
• Deep Learning
• Computer Vision
• +3 more

Szymon Płotka is a Researcher in the Medical Imaging and Robotics department at the University of Amsterdam's Informatics Institute. His work focuses on advancing prenatal care through deep learning, particularly in fetal ultrasound analysis and AI-driven medical solutions. He holds a PhD in Computer Science from the University of Amsterdam (2024), with a thesis on enhancing prenatal care via machine learning. Research Interests : Integration of deep learning techniques for medical image analysis Development of AI tools for diagnostic accuracy and clinical workflow optimization Multimodal data fusion in healthcare Real-time surgical imaging applications Recent work emphasizes fetal biometry measurements, endoscopic synthetic datasets, and real-time placental vessel segmentation. His research bridges cutting-edge AI with clinical practice, aiming to improve accessibility and efficiency in medical imaging. Key Contributions : Advances in fetal ultrasound video analysis matching human expert accuracy Pioneering synthetic endoscopic dataset generation with diffusion models Development of BabyNet++ for birth weight prediction No formal students listed, but his projects likely involve collaborations with academic teams. Active in organizing and participating in medical imaging challenges (e.g., FeTA, FetReg).

Mian M. HamayunView profile

Associate Professor

• Computer Science
• Transaction Level Modeling (TLM)
• MPSoC Simulation
• +15 more

Mian M. Hamayun is an Associate Professor of Computer Science and Head of Subject Group at the University of Birmingham Dubai campus, part of the College of Engineering and Physical Sciences. He holds a PhD in System Modelling, Simulation & Virtualization from the University of Grenoble Alpes, France, and has academic qualifications from Joseph Fourier University and COMSATS Institute of Information Technology, Pakistan. PhD in System Modelling, Simulation & Virtualization, University of Grenoble Alpes, 2013 MS in Informatics (Parallel & Distributed Systems), Joseph Fourier University, 2009 MSE in Software Engineering (Gold Medalist), COMSATS, 2005 PGCHE, University of Birmingham, 2021 FHEA and SFHEA, University of Birmingham (2021, 2024) His research spans Transaction Level Modeling (TLM) , MPSoC simulation , cloud computing , virtualization , Internet of Things/Vehicles , edge AI , and TinyML . He focuses on performance estimation, binary translation, and system-level simulation for embedded and distributed systems. The recent publications reflect a strong trend in IoT and vehicular networks , secure telemedicine , cloud orchestration , and embedded system simulation . His work integrates virtualization with security, real-time constraints, and machine learning on edge devices. Senior Fellow of the Higher Education Academy (SFHEA), 2024 Fellow of the Higher Education Academy (FHEA), 2021 Dr. Hamayun has supervised multiple research students and contributed to projects involving fatigue detection, person re-identification, retinal image analysis, and secure surgery frameworks. He has taught core computer science courses including Operating Systems, Networks, Data Structures, Algorithms, and Functional Programming at both undergraduate and postgraduate levels. His prior roles include Assistant Professor at NUST SEECS, R&D Engineer in France, and Lecturer at IUT1. He leads research in virtual prototyping and edge intelligence at the Dubai campus, contributing to smart city and cognitive systems initiatives. His lab work involves hybrid simulation environments, secure automotive platforms, and distributed IoT systems.

Fateme RajabiyazdiView profile

Assistant Professor

• Information Visualization
• Human-Computer Interaction
• eHealth
• +5 more

Fateme Rajabiyazdi is an Assistant Professor at Carleton University in the Department of Systems and Computer Engineering , with cross-appointments to the School of Information Technology and Bruyère Research Institute . She holds a Ph.D. in Computer Science from the University of Calgary (2018), focusing on information visualization . Education : Ph.D. (Computer Science, University of Calgary), M.Sc. (Computer Science, Australian National University) Research Interests revolve around real-world health data visualization , specifically patient engagement in medical care , health data tracking , patient-provider communication , and decision-making support . Her work integrates Human-Computer Interaction (HCI) and eHealth technologies , with applications in diabetes management , cardiac rehabilitation , and aging populations . Publications (2025–2020) span information visualization , patient-generated health data , and medical decision-making . Key venues include Journal of Medical Internet Research , Frontiers in Surgery , and ACM CHI . Recent projects include TextVista (NLP-enhanced visualization) and My Personal Brain Health Dashboard for HIV patients. Scientific Awards : Ward of 21st Century Health Services Research Scholarship (PhD) FRQS Postdoctoral Scholarship (2020, ranked 4th in Quebec) Best Student Paper Award at Graphic Interface 2024 Honorable Mention at ACM CHI 2025 Students include PhD candidates in Biomedical Engineering , Master’s students in Data Science and Human-Computer Interaction , and research assistants across disciplines. Her lab collaborates on health visualization tools and assistive technologies .

Peter J. BerkelmanView profile

Associate Professor

• Haptic Interfaces
• Surgical Robotics
• Magnetic Levitation
• +3 more

Peter J. Berkelman is an Associate Professor in the Department of Mechanical Engineering at the University of Hawaii’s College of Engineering. He holds a PhD from Carnegie Mellon University (1999). His research focuses on Haptic Interfaces, Surgical Robotics, Magnetic Levitation, and Robotic Rehabilitation. He leads the Human-Robot Interaction Lab (HRIL), advancing medical robotics and haptic technologies. He teaches courses including ME375 (Dynamics of Machines), ME374 (Kinematics), ME452 (Robotics), and ME696 (Biorobotics). His work bridges mechanical engineering with biomedical applications, emphasizing surgical systems, force feedback, and minimally invasive techniques. Key contributions include magnetic levitation for haptic devices, robotic endoscope manipulators, and microsurgical instrumentation. His patent portfolio includes positioning systems for medical devices and adaptive magnetic surfaces. Collaborative projects span otology surgery, urology interventions, and teleoperated surgical systems. His research emphasizes practical clinical integration of robotic technologies.

Yaoping HuView profile

Professor

• Brain-Machine Interfaces
• Multi-sensory User Interaction in XR
• Immersive Analytics
• +5 more

Yaoping Hu is a Professor in the Department of Electrical and Software Engineering at the Schulich School of Engineering, University of Calgary, and an Associate Member of the Hotchkiss Brain Institute. He holds a Ph.D. in Robotics and Neuroscience from the University of Western Ontario. His research focuses on Human-Computer Interaction within Virtual Environments, particularly in Brain-Machine Interfaces, multisensory user interaction in XR, and immersive analytics. He teaches courses such as ENSF 619.36 (Brain-Machine Interface Systems), ENSF 519.51 (Brain-Machine Interfaces), ENEL 602 (Virtual Environments), and ENSF 545 (Introduction to VR). Research interests include modeling neural mechanisms for visuomotor processes, cognitive-ergonomic interaction design, and applications in surgical planning, data visualization, and human-machine collaboration. He leads the Visualization and Interaction Laboratory, collaborating with institutions like the neuroArm Project, Fluid Dynamics Group, and international partners in France. Past and current students include Stanley Tarng, Lida Ghaemi Dizaji, and Aida Erfanian. His work spans projects like neuroSim (a surgical simulator) and BioVista (biofilm visualization tools). Collaborations with industry partners such as Nova Chemicals and Calgary Scientific Inc. support applied research in complex data analysis and virtual reality systems.

Massimo RobionyView profile

Professor

• Maxillofacial Surgery
• Head and Neck Surgery
• Virtual Surgical Planning
• +3 more

Massimo Robiony is a Full Professor at the University of Udine, affiliated with the DAME Department of Medical Area. As Director of the Maxillofacial Surgery Clinic, School of Specialization in Maxillofacial Surgery, and Level II Master's Degree in Health and Humanization, he leads multidisciplinary initiatives in surgical innovation. His research spans 3D printing, virtual surgical planning, robotic surgery, and AI applications in craniofacial medicine. Academic Leadership: Director roles in clinical, specialization, and master's programs. Research Focus: 3D printing, AI diagnostics, and robotic surgery for maxillofacial pathologies. Email: massimo.robiony@uniud.it Recent publications emphasize AI-driven image processing, bioprinting, and augmented reality in surgical oncology. His work highlights the integration of virtual planning and 3D printing for trauma management, alongside advancements in robotic and transoral techniques for orbital and craniofacial disorders.

Anas AlaniView profile

Assistant Professor

• Cardiology
• Radiology
• Cardiovascular Imaging
• +4 more

Anas Alani, MD is an Assistant Professor in both Medicine and Radiology at the School of Medicine, University of California, Los Angeles. His academic career spans cardiovascular medicine with a strong emphasis on advanced imaging techniques and coronary pathophysiology. Dr. Alani's research interests focus on: Cardiovascular imaging using computed tomography Coronary artery disease and atherosclerosis Diabetes-related cardiovascular complications Valvular heart disease and interventions Cardiovascular risk assessment in special populations Extra-coronary calcification patterns His scholarly work demonstrates expertise in applying advanced imaging modalities to understand cardiovascular pathophysiology and improve diagnostic accuracy. Dr. Alani has contributed significantly to the field of coronary plaque characterization, positive remodeling in smokers, and the application of CT angiography in various clinical scenarios including diabetes, HIV, and metabolic syndrome. Dr. Alani's publication record shows consistent productivity since 2013, with 24 publications through 2024. His work frequently appears in high-impact cardiology and radiology journals including the Journal of the American College of Cardiology, American Journal of Cardiology, and JACC: Cardiovascular Interventions. His research demonstrates methodological rigor with extensive use of CT angiography, intravascular ultrasound, and other advanced imaging techniques to quantify coronary plaque characteristics. Dr. Alani is currently serving as Principal Investigator for a clinical trial titled "Effect of Tirzepatide on progression of coronary atherosclerosis using MDCT" sponsored by Eli Lilly & Co. (2025-2026), indicating ongoing active research in diabetes and cardiovascular disease. His work frequently collaborates with Dr. Matthew Budoff and other cardiovascular imaging experts, contributing to multicenter studies including the DCCT/EDIC Research Group and Multicenter AIDS Cohort Study.

Bedi Cenk BalçıkView profile

Lecturer

• Biomechanics
• Materials Science
• Biomedical Engineering
• +3 more

Dr. Öğr. Üyesi Bedi Cenk Balçık, Baskent University Faculty of Engineering, Department of Mechanical Engineering, Ankara, Turkey. He holds a PhD in Engineering Sciences (2002) from Middle East Technical University (METU), with MSc (1996) and BSc (1993) in Mechanical Engineering from the same institution. Doktora: Mühendislik Bilimleri, Orta Doğu Teknik Üniversitesi (2002) Yüksek Lisans: Mühendislik Bilimleri, Orta Doğu Teknik Üniversitesi (1996) Lisans: Makine Mühendisliği, Orta Doğu Teknik Üniversitesi (1993) His research focuses on Biomechanics , Biomedical Engineering , and Advanced Materials Analysis , particularly in orthopedic applications, implant material testing, and finite element modeling. He has contributed to studies on tendon healing, fracture fixation techniques, and biomaterials for bone repair. Recent publications highlight his work in biomechanical testing of surgical fixation methods (2024-2003), biomaterials research for dental and orthopedic applications (2018-2012), and finite element analysis in structural engineering (2006). His work spans animal models , clinical material testing , and computational simulation . Dr. Balçık teaches courses including Materials Science (MAK 205) , Finite Element Analysis (MAK 413) , and Computer-Aided Design (SAP 507/MAK 536) . His office is located in Room D311, Faculty of Engineering, with contact number +90 (312) 246 66 66 Ext. 4128.

• Disability Design
• Human-Centered Design
• Empathic Design
• +5 more

Deana C McDonagh serves as a Professor at the University of Illinois, holding dual appointments in the College of Fine and Applied Arts (School of Art and Design) and Carle Illinois College of Medicine as a Health Innovation Faculty member. She teaches undergraduate and graduate courses including Human-Centered Product Design (ARTD 328), Disability Design (ARTD 420), and Advanced Interaction Design (ARTD 418), while directing the (dis)Ability Design Studio—a Beckman Institute and DRES collaboration focused on co-creating solutions with people with disabilities. Her research pioneers disability-inclusive design methodologies , emphasizing empathic engagement with vulnerable populations. Key areas include assistive technology for ALS and mobility impairments, women's safety in public transportation (particularly in Malaysia/Pakistan), and aging-focused product innovation. She integrates Design Thinking to address systemic challenges like food insecurity and healthcare access, as demonstrated in her transformative learning frameworks that leverage 'pedagogy of discomfort'. Recent publications (2024-2025) reveal three dominant trends: physical accessibility engineering (e.g., ball-balancing wheelchair systems), medical device humanization (e.g., ocular surgery tools and the Preemie Pod wearable incubator), and socio-design interventions for women's mobility and food justice. Her interdisciplinary approach bridges industrial design, biomedical engineering, and social sciences to create solutions 'designed by, not for' end-users. Professor McDonagh founded the (dis)Ability Design Studio as a living lab for participatory innovation, prototyping breakthroughs like the hands-free torso-controlled wheelchair and radiation-protective 'space suits' for infant care. The studio's work exemplifies her commitment to translating empathic research into tangible health innovations through university-community partnerships.

Joseph E. BurnsView profile

Clinical Professor

• Radiology
• Musculoskeletal Imaging
• Artificial Intelligence in Medical Imaging
• +3 more

Dr. Joseph E. Burns, MD is an Associate Professor in the Department of Radiological Sciences at the University of California, Irvine School of Medicine. He specializes in clinical radiology with a focus on musculoskeletal imaging and the application of artificial intelligence in medical imaging. Dr. Burns received his medical degree from McGill University Faculty of Medicine in Montreal, Canada (2000) and completed his residency in Diagnostic Radiology at the University of California, Irvine Medical Center. He furthered his expertise through fellowships in Musculoskeletal Radiology at the University of Iowa and in Imaging Sciences at the National Institutes of Health. His research interests span multiple areas of radiology with particular emphasis on: Artificial intelligence applications in musculoskeletal imaging Automated detection of bone pathologies including vertebral fractures and metastases Sarcopenia assessment using CT imaging Advanced image processing techniques for spinal abnormalities Musculoskeletal findings in prostate MRI beyond metastases Dr. Burns' publication record demonstrates a strong focus on the intersection of radiology and artificial intelligence, with numerous papers on machine learning algorithms for medical image analysis. His work has significantly contributed to the development of automated detection systems for various bone pathologies and the application of deep learning techniques in musculoskeletal imaging. Among his notable recognitions are: America's Top Doctors (Imaging), Castle Connolly Medical, Ltd. (2013) Physicians of Excellence, Orange County Medical Association (2014-2023) Top Doctors Award, Orange Coast Magazine (2014-2018) Manuscript selected as cover article for Radiology (2013) Honorable Mention Award for Excellence in Scientific Exhibit at SPIE International Conference on Medical Imaging (2014) Dr. Burns is actively involved in multiple professional societies including the American College of Radiology, California Radiological Society, International Society for Optics and Photonics, Radiological Society of North America, and the Society of Skeletal Radiology. His work bridges clinical radiology practice with cutting-edge research in medical image analysis and artificial intelligence applications.

Hongrui JiangView profile

Professor

• MicroElectroMechanical Systems (MEMS)
• BioMEMS
• Optical MEMS (MOEMS)
• +7 more

Hongrui Jiang is a Professor in the Department of Electrical & Computer Engineering at the University of Wisconsin-Madison, with affiliations in Biomedical Engineering and Materials Science & Engineering. His research focuses on MEMS, BioMEMS, optical systems, microfluidics, and biomimetics, with applications in biomedical imaging, wearable sensors, and smart materials. He holds the Lynn H. Matthias Professorship and has been recognized as an IEEE Fellow and AIMBE Fellow. Education: PhD 2001, Cornell University MS 1999, Cornell University BS 1995, Peking University (Summa cum Laude) Research Interests: Jiang’s work spans micro-optical imaging systems, biological/chemical sensing, functional polymers, and bioinspired design. Key areas include wearable gait monitoring, laparoscopic surgery visualization, and tunable optical devices. His lab develops novel MEMS-based sensors and actuators for biomedical and environmental applications. Publications: Recent work emphasizes real-time video stabilization, 3D medical imaging systems, and wearable sensor networks. Themes include fusion of computer vision with biomedical engineering and optimization of microsystems for clinical use. Awards: 2023 Bryon Bird Award 2017 IEEE Fellow 2014 Lynn H. Matthias Professorship 2011 NIH New Innovator Award Teaching & Grants: Courses include E C E 230 (Circuit Analysis) and advanced graduate research seminars. His grants support projects in MEMS fabrication, biomedical sensors, and smart materials. He advises graduate students in ECE and collaborates across disciplines. Labs/Teams: Leads the Jiang Lab for MEMS and BioMEMS research, focusing on translational technologies for healthcare and engineering challenges.

Ansaf Salleb-AouissiView profile

Senior Lecturer

• Machine Learning
• Data Science
• Medical Informatics
• +4 more

Ansaf Salleb-Aouissi is a Senior Lecturer in the Department of Computer Science at Columbia University’s Fu Foundation School of Engineering and Applied Science. She holds affiliations with the Foundations of Data Science and Health Analytics centers. With a PhD from the University of Orleans, France (2003), she pursued postdoctoral training at INRIA Rennes before joining Columbia as an Associate Research Scientist in 2006. She transitioned to her current role in 2015 after serving as an adjunct professor in Computer Science and Data Science from 2014–2015. Her research focuses on machine learning applications in healthcare, education, and infrastructure systems. Key areas include medical informatics (e.g., preeclampsia prediction, genetic associations in pregnancy), educational data mining (intelligent tutoring systems, bootcamp design), and power grid reliability. Notable achievements include winning the NIH Maternal Morbidity Data Challenge and developing tools like LogicLearner for logic education. She has contributed to projects such as analyzing CDC pregnancy data and optimizing the New York City power grid. Her work bridges theoretical machine learning with real-world applications, emphasizing interpretability, bias mitigation, and collaboration across disciplines. She has published extensively in venues like JMLR, TPAMI, and ECML, addressing topics from counterfactual explanations to ensemble learning with missing data.