Find Academic Supervisors

Mikko NissiView profile

Professor

• Medical Physics
• Medical Imaging
• Magnetic Resonance Imaging (MRI)
• +5 more

Professor Mikko Nissi holds the Chair of Medical Physics and Engineering at the University of Eastern Finland’s Department of Technical Physics, Faculty of Science, Forestry and Technology. He leads research on quantitative magnetic resonance imaging (qMRI), focusing on musculoskeletal diseases and methodological advancements in ultra-short echo time techniques. His work integrates inverse problems research and machine learning to predict tissue properties unobservable via conventional MRI. Education: PhD in Physics (University of Kuopio, 2008), Adjunct Professor since 2015. Key roles include Associate Professor (2020–2024) and Academy Research Fellow (2015–2020). Active in research groups like the Academy of Finland Flagship (FAiME) and UEF’s Musculoskeletal Diseases (MSKD) community. Research interests span qMRI relaxometry, T1ρ/T2 anisotropy, and AI-driven virtual histology. Notable projects include EU-funded microMRI infrastructure for industrial applications and grants from the Research Council of Finland for AI-assisted MRI methods. Teaching: Course on MRI principles and applications. Advises on musculoskeletal biomechanics and finite element modeling. Recognized for contributions to medical physics, including societal roles in the Finnish Society for Medical Physics and International Society for Magnetic Resonance in Medicine. Hobbies: 3D printing for research tooling and handicrafts. Publications (>100 articles) address cartilage degeneration, myocardial perfusion, and MRI applications in agriculture/forestry.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +5 more

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

• Computational Design
• Digital Fabrication
• Bio-Based Materials
• +7 more

Dr. Gözde Damla Turhan is a Researcher at the Department of Architecture within the Faculty of Fine Arts and Design at İzmir University of Economics, a position she has held since September 2017. She holds a B.Sc. in Architecture from İzmir Ekonomi Üniversitesi (2014), followed by dual Master's degrees: M.Arch in Advanced Architectural Design (2016) and M.Sc. in Architecture (2016). Her Ph.D. in Design Studies (2022) focused on biobased materials, computational design, and digital fabrication. Current research interests include AI applications in design (machine learning, diffusion models, LLMs), and sustainable material innovation. Her work bridges architecture and computational technologies, emphasizing bio-based materials (e.g., bacterial cellulose), digital fabrication methods, and AI-driven design processes. She has explored topics like urban rehabilitation via GANs, NFT art hybrid experiences, and life cycle assessments of unconventional construction materials. Publications (2016–2023) span computational form-finding, material science, and digital tools in architecture. She actively contributes to design pedagogy, investigating how AI tools like diffusion models can reshape educational frameworks.

Mohamed H. DoweidarView profile

Professor

• Computational Biomechanics
• Cell Simulation
• Hyperelastic Materials
• +7 more

Mohamed H. Doweidar is a Full Professor in the Mechanical Engineering Department at the University of Zaragoza, Spain. He is affiliated with the School of Engineering and Architecture (EINA), the Bioengineering Division of the Aragón Institute of Engineering Research (I3A), and the CIBER-BBN (Bioengineering, Biomaterials, and Nanomedicine). His academic career spans over three decades, with teaching roles since 1994 and significant contributions to computational biomechanics and biomedical engineering. Education: Ph.D. in Computational Fluid Mechanics (2004), University of Zaragoza M.Sc. in Engineering Mathematics (2001), Ain Shams University Bachelor's in Statistics & Computer Science (1997), Mansoura University Industrial Engineering Degree (1993), Benha Higher Institute of Technology Research Interests: Focus on Computational Biomechanics , Cell Simulation , Hyperelastic Materials , Finite Element Method , and Error Estimation . His work integrates computational models to study cellular behavior, tissue regeneration, and biomedical applications. Key Contributions: Authored/co-authored books on biomechanics and computational modeling, including "Digital Human Modeling and Medicine: The Digital Twin" (2022). Supervised numerous doctoral students, some of whom received university awards. Active in editorial boards, project evaluations (ANEP), and international conferences. Labs & Groups: Member of the Applied Mechanics and Bioengineering Group (AMB), CIBER-BBN, and I3A. Research spans cell migration , biomaterials , and computational oncology .

Manuel SalinasView profile

Associate Professor

• Biomechanics
• Thermal and fluid systems
• Engineering education
• +3 more

Manuel Salinas, Ph.D., is an Associate Professor in the Department of Engineering at Nova Southeastern University's College of Computing and Engineering. He teaches core and biomedical engineering courses while mentoring students in honors theses and independent research. Postdoctorate, Harvard Medical School (2015) Ph.D. and B.S., Florida International University His research focuses on biomechanics and thermal/fluid systems, particularly how hemodynamic forces influence vascular inflammation, tissue engineering, and disease mechanisms. He develops bioreactor models for atherosclerosis and vasculitis studies, exploring oscillatory shear stress effects on stem cell differentiation and valvulogenesis. Recent work includes computational and experimental studies on vascular erosion, aortic valve tissue engineering, and mechanical stress in periodontitis-related osteoclast differentiation. Key collaborators include researchers from Harvard Medical School and Florida International University. Scientific Awards: Outstanding PhD Graduate Award (CEC, 2015) FIU Academy of Leaders Induction (2014) NIH Fellowship (2010) Alpha Eta Mu Beta Induction (2009) Salinas serves as a research mentor and NSU CEC representative for ASEE. He has led 28 courses in biomedical engineering, biomechanics, and physiological systems modeling. Current projects include Oticon-funded reverse engineering education initiatives.

• Numerical Analysis
• Numerical Methods for Partial Differential Equations
• Virtual Element Methods
• +14 more

Stefano Scialo' is an Associate Professor in the Department of Mathematical Sciences "G.L. Lagrange" (DISMA) at the Polytechnic University of Turin. He is also a member of the Interdepartmental Center Ec-L - Energy Center Lab and serves as the contact person for the Bachelor's Degree Program in Mathematics for Engineering (L3). His academic journey began with a Master’s in Aerospace Engineering (2007), followed by a PhD in Mathematics for Engineering (2014), both from the same institution. After his PhD, he held postdoctoral and Assistant Professor positions at DISMA before being promoted to Associate Professor. Education: PhD in Mathematics for Engineering, Politecnico di Torino, 2014 Master in Aerospace Engineering, Politecnico di Torino, 2007 His research focuses on advanced numerical methods for partial differential equations, particularly in the context of complex multiscale and multiphysics systems. Key areas include the Virtual Element Method (VEM), domain decomposition techniques based on PDE-constrained optimization, and the simulation of flows in fractured porous media. He has made significant contributions to 3D-1D coupled problems, with applications in geosciences and biomedical modeling such as tumor-induced angiogenesis. His methodological work emphasizes robustness, scalability, and applicability to non-conforming and polygonal meshes, enabling high-performance computing solutions. The trend in his recent publications reveals a strong emphasis on developing and analyzing mixed virtual element methods, optimization-based coupling strategies, and their applications to engineering and biological systems. His work bridges theoretical numerical analysis with practical implementations in fluid dynamics and subsurface flow. Scientific Contributions: Principal Investigator of the FREYA project (2023–2026) on hybrid numerical approaches for fault reactivation. Coordinator of the INdAM-GNCS research project (2018–2019). Member of the research group "Numerical Analysis and Scientific Computing" at DISMA. Stefano Scialo' actively supervises doctoral students, including Matteo Trombini in the PhD program in Mathematical Sciences. He teaches a range of courses such as Advanced Scientific Programming in MATLAB, Numerical Methods and Scientific Computing, and specialized topics on Virtual Element Methods. He also contributes to curriculum development and academic governance through roles in doctoral colleges and degree program committees, including those for Mathematical, Mechanical, Aerospace, and Automotive Engineering. Laboratories and Research Groups: Member, Interdepartmental Center Ec-L - Energy Center Lab Research Group: Numerical Analysis and Scientific Computing (DISMA)

Andrew JirasekView profile

Professor

• Medical Physics
• Radiation Oncology Physics
• Raman Spectroscopy
• +3 more

Andrew Jirasek is a Professor at the Irving K. Barber Faculty of Science , University of British Columbia Okanagan , and serves as the Associate Dean for Graduate and Postdoctoral Training . He leads the Analytics in Medical Sciences (AiMS) Institute with a focus on Medical Physics and Radiation Oncology Physics , particularly utilizing Raman spectroscopy and 3D radiation dosimetry for cancer treatment verification. PhD from University of British Columbia His research involves developing polymer gel dosimeters for 3D radiation dose verification in complex therapies like volumetric modulated arc therapy (VMAT) , collaborating across physics, oncology, and engineering . He also investigates optical technologies to monitor biological responses during radiotherapy using Raman spectroscopy with machine learning for data analysis. Recent publications highlight advancements in 3D gel dosimetry , Raman spectroscopy for metabolic profiling , and iterative image reconstruction algorithms . His work spans dosimeter technology development , radiation therapy quality assurance , and clinical applicability studies for novel treatment verification methods.

• Biomechanics
• Biomedical Engineering
• Computational Modeling
• +6 more

Lindsey Westover, PhD, PEng, serves as an Associate Professor in the Department of Mechanical Engineering and Associate Dean in the Faculty of Engineering at the University of Alberta. Her research and teaching activities are centered in the Biomedical Engineering program, with her laboratory located in the Donadeo Innovation Centre for Engineering (13-224, 9211 116 St, Edmonton, AB T6G 2H5). She maintains an active research profile while contributing to academic leadership through her deanship. Her educational background includes: 2018: Postdoctoral Fellowship in Rehabilitation Medicine, University of Alberta 2016: Ph.D. in Mechanical Engineering, University of Alberta 2011: M.Sc. in Mechanical Engineering, University of Calgary 2007: B.Sc. in Mechanical Engineering, University of Calgary Dr. Westover's research program spans biomechanics and biomedical engineering with emphasis on noninvasive assessment of biological structures, vibration analysis for percutaneous implants, joint biomechanics (ligaments and cartilage), spinal deformity analysis through asymmetry metrics, mechanical testing of biological tissues, and computational modeling of biological systems. Her work integrates laboratory experiments, computational methods, and in vivo studies to develop innovative diagnostic and therapeutic approaches. Analysis of her 15 most recent publications (2018-2020) reveals consistent focus on bone mechanics, implant stability, and symmetry analysis across orthopedics, audiology, and dentistry. Key themes include osseointegration evaluation using ASIST technology, pelvic/spinal deformity quantification, and computational modeling of biological structures. Her work appears in high-impact journals spanning engineering and clinical disciplines, demonstrating strong interdisciplinary collaboration. Scientific recognition includes: Nomination for Ear and Hearing 2018 Editor's Award for bone conduction device research Dr. Westover mentors graduate students through co-authorship on numerous publications and teaches core mechanical engineering courses including MEC E 451 (Vibrations and Sound), MEC E 390 (Numerical Methods), and MEC E 200 (Introduction to Mechanical Engineering). Her research is supported by collaborative grants with clinical partners and engineering colleagues. She leads biomechanics research within the Department of Mechanical Engineering, collaborating extensively with the Faculty of Rehabilitation Medicine and surgical departments. Her laboratory develops advanced testing systems like ASIST for implant stability evaluation across hearing devices and dental applications, while her computational work informs clinical approaches to scoliosis management and fracture reconstruction.

Pedram JohariView profile

Researcher

• Intra-body Communications
• Wireless Networking
• Internet of Medical Things
• +4 more

Pedram Johari serves as a Principal Research Scientist at Northeastern University's Institute for Wireless Internet of Things, working under Prof. Tommaso Melodia in the Department of Electrical and Computer Engineering within the College of Engineering. His research focuses on next-generation wireless communications with particular emphasis on medical applications and nanoscale networks. Dr. Johari earned his Ph.D. in Electrical Engineering from the University at Buffalo, State University of New York in 2018 under the supervision of Prof. Josep M. Jornet. Prior to joining Northeastern, he served as CTO of an IoT-tech startup in New York (2018-2019) and held academic positions at University at Buffalo as Adjunct Instructor and Research Assistant Professor (by courtesy appointment). His research spans four interconnected domains: Intra-body Communications and Networking focusing on nanoscale electromagnetic and optical communications within biological tissues; Internet of Medical Things developing wireless systems for healthcare applications; Low Power Wireless IoT creating energy-efficient communication protocols; and Vehicular Communications advancing cooperative driving systems. His work bridges theoretical modeling with practical implementation, often incorporating AI techniques for network optimization. Analysis of his recent publications reveals a strong trend toward digital twin technology for wireless networks, AI-enabled communication systems, and medical applications of nanoscale communications. His research increasingly integrates machine learning with traditional communication theory, particularly in Open RAN systems and seizure prediction technologies, demonstrating cross-disciplinary impact across engineering, computer science, and biomedical fields. Best Paper Award at IEEE Global Communications Conference (GLOBECOM) Best Short Paper Award at IEEE Vehicular Networking Conference (VNC) Best Presentation Award at IEEE Conf. on Computer Communications Workshops (INFOCOM WKSHPS) Dr. Johari actively contributes to academic service as a reviewer for numerous prestigious journals including IEEE Transactions on Wireless Communications, IEEE Transactions on Mobile Computing, and IEEE Internet of Things Journal. He has served on technical program committees for major conferences including IEEE/ACM CHASE and IEEE SECON. His teaching experience includes courses in programming, circuit analysis, and digital principles at University at Buffalo. As a key member of the Wireless Networks and Embedded Systems Lab at Northeastern University, Dr. Johari contributes to the Colosseum wireless network emulator project - recognized as the world's largest wireless network emulator. His work with the Institute for Wireless Internet of Things involves collaboration with industry partners to translate research into practical wireless communication solutions.

Axel KriegerView profile

Associate Professor

• Medical Robotics
• Surgical Automation
• Autonomous Surgery
• +5 more

Dr. Axel Krieger is an Associate Professor of Mechanical Engineering at Johns Hopkins University, with a secondary appointment in Computer Science. He directs the Intelligent Medical Robotic Systems and Equipment (IMERSE) Lab, focusing on autonomous medical robotics, image-guided interventions, and surgical automation. His work includes the Smart Tissue Autonomous Robot (STAR), which achieved milestone autonomous soft-tissue suturing in 2022. Krieger holds over 30 patents, licensed by companies like Intuitive Surgical and Siemens. Education: PhD in Mechanical Engineering, Johns Hopkins University (2008) Masters and Undergraduate Degrees, University of Karlsruhe, Germany Research Interests: Autonomous robotic surgery and smart tool development 3D-printed patient-specific implants Magnetically actuated microsurgery AI-driven surgical planning and control Key Achievements: Developed STAR surgical robot performing unsupervised soft-tissue surgery NSF Early CAREER Award (2022) Over 30 issued/pending patents Labs & Teams: Director of IMERSE Lab Member: Laboratory for Computational Sensing and Robotics (LCSR) Member: Malone Center for Engineering in Healthcare

• Reverse Engineering
• Product Design and Development
• Virtual Prototyping
• +3 more

Luigi De Napoli is an Assistant Professor in the Department of Mechanical, Energy and Management Engineering at the University of Calabria's Engineering Faculty. He has been serving in this position since March 1, 2006, and achieved National Scientific qualification as associate in the Italian higher education system for the disciplinary field of 09/A3 - Industrial design, machine construction, and metallurgy, starting from December 20, 2019. His educational background includes a Bachelor Degree in Mechanical Engineering from the University of Calabria in 1993, followed by qualification as an Engineer in 1994. He completed his Ph.D. degree in Design and Methods in Industrial Engineering at the University of Bologna in 2003, with a thesis focused on the reconstruction of archaeological artifacts using CAD systems. High school: Liceo Scientifico Statale E. Fermi di Cosenza (1986) Bachelor Degree: Mechanical Engineering, University of Calabria (1993) Engineer Qualification (1994) Scholarship: ITIA-CNR in Milan on advanced FEM and BEM systems (1995/96) Ph.D.: Design and Methods in Industrial Engineering, University of Bologna (2003) Dr. De Napoli's research primarily focuses on Reverse Engineering applications in Mechanical Engineering, Product Design and Development, and Virtual Prototyping. His work spans various applications including the reconstruction of archaeological artifacts, geometry inspection, hull and prosthesis reconstruction, and sustainable product design methodologies. His recent publications demonstrate a strong emphasis on biomedical applications, particularly in cranial prosthetics, tissue engineering, and ovarian tissue culture systems. His teaching portfolio is extensive, covering courses such as Computer-Aided Design, Sustainable Product Design, Engineering Drawing/CAD, and Modeling and Prototyping for Bioengineering across both Mechanical and Management Engineering programs. He has been teaching CAD courses since 2010 and Sustainable Product Design since 2011 at the University of Calabria. Dr. De Napoli is actively involved in the Research Group for Industrial Engineering Design and Methods (ING-IND/15), which focuses on methodologies and tools for product development processes, industrial product design and development (with particular attention to parametric and sustainable aspects), prototyping (virtual and mixed), and manufacturing using 3D printers. His work also encompasses Reverse Engineering techniques, User Centered Design methodologies for ergonomic analysis, and Virtual and Augmented Reality applications for industrial product design.

Steven LeeView profile

Professor

• Biophysical Chemistry
• Single-Molecule Fluorescence Spectroscopy
• Super-Resolution Imaging
• +5 more

Professor Steven Lee is a leading figure in biophysical chemistry at the University of Cambridge , where he leads the TheLeeLab in the Yusuf Hamied Department of Chemistry . His research focuses on developing advanced single-molecule fluorescence and multidimensional super-resolution imaging techniques to probe fundamental biological processes at unprecedented spatial precision. Developed novel super-resolution microscopy approaches for 2D/3D visualization of T-cell membrane proteins and histone assembly in fission yeast nuclei Pioneer of 15-20nm resolution imaging strategies through fluorophore kinetics and image reconstruction algorithms Recipient of the 2017 Marlow Prize in Physical Chemistry , Lee's lab produces cutting-edge tools with applications in immunology , neurodegeneration , and cellular biophysics . His team maintains active collaborations with Prof Klenerman (FRS MedSci) and Prof Moerner (Nobel Chemistry 2014). Research Highlights : Molecular origins of immunity through T-cell membrane protein interactions 3D histone dynamics during DNA replication/repair Amyloid aggregate quantification for neurodegenerative disease diagnosis Volumetric imaging innovations via vLUME virtual reality platform

• Reproductive biology
• Uterine biology
• Transcriptomics
• +11 more

Professor Niamh Forde serves as Professor of Molecular Reproductive Biosciences within the School of Medicine at the University of Leeds. She co-founded and co-directs LeedsOmics, a virtual research institute advancing interdisciplinary omics applications. Her work bridges human and animal reproductive sciences through comparative molecular physiology across mammalian species. Education: BA (Mod) Biochemistry from Trinity College Dublin PhD from University College Dublin Research Focus: Professor Forde pioneers investigations into embryo-endometrial molecular crosstalk during early pregnancy using multi-omics approaches. Her lab integrates in vivo studies with cutting-edge in vitro platforms including microfluidics, organoids, and extracellular scaffolds to dissect non-coding RNA mechanisms and protein signaling. Key emphases include species-comparative analysis (human, bovine, porcine, murine), maternal metabolic impacts, embryo sex effects, and extracellular vesicle-mediated communication—all with implications for fertility, food security, and developmental origins of health and disease. Publication Trends: Recent work (2022-2025) demonstrates consistent innovation in modeling conceptus-maternal interactions through engineered systems like endometrium-on-a-chip. Publications reveal growing emphasis on conserved molecular pathways (e.g., PDI/CAPG proteins), microRNA networks in implantation, and translational applications for livestock fertility and human reproductive health. Her team increasingly leverages cross-species genomic analyses to identify evolutionary innovations underpinning placental mammal pregnancy. Leadership and Collaboration: As Associate Editor for Reproduction and member of SSR/SRF/Biochemical Society, she shapes reproductive science discourse. Her affiliations with Leeds Institute of Cardiovascular and Metabolic Medicine and Multidisciplinary Cardiovascular Research Centre foster translational synergies. Current PhD projects focus on 3D uterine modeling and non-coding RNA function, training next-generation scientists in advanced reproductive technologies.

• Biomedical Engineering
• Clinical Sciences
• Human Movement and Sports Sciences
• +3 more

Jonathan Jeffers is a Professor of Mechanical Engineering and Associate Dean for Enterprise at Imperial College London's Faculty of Engineering. He leads the Medical Engineering division, focusing on healthcare technology and improving surgical treatments for osteoarthritis. His research spans biomedical engineering, clinical sciences, and materials engineering, with affiliations to networks like the Additive Manufacturing Network and the Centre for Blast Injury Studies. He co-founded OSSTEC and Additive Instruments, advancing implant and surgical tool technologies. His work emphasizes additive manufacturing in orthopedics, including stiffness-matched knee implants and regenerative biomaterials. Awards include an NIHR Research Professorship. Education: BSc in Mechanical Engineering from Trinity College Dublin and PhD from the University of Southampton. Research Interests: Development of regenerative orthopedic implants, biomechanics of joint surgery, and integration of machine learning in surgical customization. His team explores material properties of lattice structures and their application in bone scaffolds. Recent projects include optimizing hip resurfacing techniques and reducing implant revision risks via advanced materials and surgical tools. Key Contributions: Co-developed ceramic hip resurfacing implants with long-term success and pioneered automated implant customization using CT/X-ray data. His work on capsular mechanics post-arthroplasty has advanced surgical techniques. Industry collaborations include Finsbury Orthopaedics and Embody Orthopaedic, blending academic and industrial innovation. Labs/Teams: Medical Engineering division at Imperial, leading a 50-member team in healthcare tech. Active in the Institute for Deep Tech Entrepreneurship, fostering academic-industry partnerships.

• Medical Robotics
• Image-guided Surgery
• Teleoperation Systems
• +3 more

Tim Salcudean is a Professor in the Department of Electrical & Computer Engineering and School of Biomedical Engineering at the University of British Columbia, holding the Charles A. Laszlo Chair in Biomedical Engineering. His research focuses on medical robotics, teleoperation systems, and image-guided interventions, with notable contributions to ultrasound technology, needle steering, and surgical robotics. He collaborates with clinicians to advance diagnostic and therapeutic methods, particularly in prostate cancer imaging and robot-assisted surgery. Key research themes include haptic interfaces, control systems for teleoperation, and biomedical device development. His work combines robotics, control theory, and medical imaging to enhance precision and safety in surgical procedures. Notable projects involve robotic systems for medical ultrasound and adaptive control strategies for stable teleoperation under time delays. Publications span over three decades, emphasizing medical robotics, image-guided interventions, and control systems. His research has been widely cited, reflecting significant impact in both engineering and healthcare fields. Current efforts aim to integrate artificial intelligence with medical imaging to improve cancer diagnosis and treatment planning.