Find Academic Supervisors

• Networking
• Edge Computing
• 5G/6G Technologies
• +5 more

Dr. Giang T. Nguyen is an academic researcher affiliated with Dresden University of Technology (Germany), specializing in advanced networking technologies. His primary affiliation is with the College of Computer Science and the Department of Networking and Communication Systems. He collaborates extensively with Prof. Frank H. P. Fitzek and other researchers on cutting-edge projects. Research Interests: Giang's work focuses on Network Functions Virtualization (NFV) , Edge Computing , Time-Sensitive Networking (TSN) , 5G/6G Technologies , and In-Network Computing (COIN) . He explores applications in industrial automation, tactile internet, and immersive media delivery, with a strong emphasis on latency reduction and network reliability. Publications: His recent work includes advancements in programmable network coding, TSN testbed development, and latency-optimized architectures for XR and IoT systems. Over 100+ publications since 2013 reflect his contributions to edge computing frameworks, network simulation tools (e.g., ns-3, OMNeT++), and collaborative SLAM systems. Key Projects: He leads initiatives like the TSN-FlexTest measurement testbed and the NET Playground heterogeneous network lab. His research bridges theoretical networking concepts with practical implementations in industrial robotics and emergency response systems.

• Artificial Intelligence
• Machine Learning
• Edge Computing
• +7 more

Huan Liu is a Professor at Arizona State University's School of Computing, Informatics, and Decision Systems Engineering, with research spanning artificial intelligence, edge computing, and interdisciplinary applications. His work bridges theoretical advances with real-world implementations across healthcare, transportation, and environmental systems. His primary research interests include: Artificial Intelligence and Machine Learning for complex system optimization Edge-Cloud Computing architectures for IoT and vehicular networks Medical image analysis and clinical decision support systems Graph neural networks and multimodal learning Privacy-preserving federated learning frameworks Recent publications demonstrate strong emphasis on applied AI, with 15+ 2025 papers addressing UAV swarm intelligence, medical diagnostics, and sustainable transportation through novel algorithmic approaches. Publication trends reveal consistent leadership in: Developing efficient edge computing solutions for dynamic environments Creating medical AI tools with clinical validation Innovating in graph-based and multimodal learning Applying optimization techniques to logistics and environmental challenges His work frequently appears in top venues including IEEE Transactions, Bioinformatics, and AAAI.

• Transducer Engineering
• Beamforming
• Ultrasound Imaging
• +4 more

Martin Verweij is a Researcher in the Cardiology department at Erasmus MC, specializing in advanced ultrasound engineering for medical diagnostics. His work bridges electrical engineering and cardiovascular imaging through innovative transducer design and contrast-enhanced ultrasound methodologies. Research focuses on Transducer Engineering (100% fingerprint match), Beamforming (42%), and Microbubble Contrast Agents , with significant contributions to CMUT array development and acoustic streaming calibration. Key projects include high-frame-rate 3D ultrasound systems and microbubble dynamics simulation for improved cardiac imaging precision. Recent publications demonstrate accelerating innovation in monolithic ultrasound probe integration (2025) and nonlinear imaging physics (2024), establishing trends toward miniaturized, high-speed diagnostic hardware with clinical cardiovascular applications. Verweij maintains active supervision of graduate researchers (1+ supervised works) and extensive international collaborations, as evidenced by multi-institutional publications and global research network maps.

• Digital Health
• Rehabilitation Technologies
• Computer Vision in Healthcare
• +3 more

Thomas Hellstén is a Senior Lecturer in Physiotherapy at Arcada University of Applied Sciences, affiliated with the School of Engineering, Culture and Wellbeing. He holds a Master of Physiotherapy and is a PhD student at the University of Helsinki, focusing on interdisciplinary research in technology and healthcare. His research emphasizes musculoskeletal physiotherapy, digitalization in healthcare, rehabilitation robotics, and wearable technologies. Hellstén leads the Computer Vision based Real-Time Motion Analysis in Health and Well-Being project at Arcada. His academic background includes studies in clinical physiotherapy and advanced training in interdisciplinary healthcare innovation. Key research interests include applying computer vision for motion analysis in rehabilitation, remote physiotherapy practices, and integration of humanoid robots in pediatric neurorehabilitation. Recent publications highlight advancements in markerless pose estimation for joint motion analysis, feasibility studies in robotic rehabilitation for cerebral palsy patients, and telehealth implementation in芬兰. His work bridges clinical practice with emerging technologies, emphasizing multi-professional collaboration for healthcare innovation. Professional awards and grants are not explicitly mentioned, but his active role in cross-departmental research collaborations showcases his leadership in academic innovation. Hellstén is involved in developing wearable sensor technologies and real-time monitoring systems for healthcare applications.

Johnny T. OttesenView profile

Professor

• Mathematical Modelling
• Mathematical Physiology
• Applied Mathematics
• +5 more

Professor Johnny T. Ottesen is affiliated with Roskilde University's Department of Science and Environment Mathematics and Physics (IMFUFA), where he leads the Centre for Mathematical Modeling - Human Health and Disease. His research focuses on applying mathematical modeling to biomedical systems, particularly in hematology, immunology, and physiological processes. He has published extensively on topics including cancer dynamics, inflammation mechanisms, and clinical decision-support systems. Education background includes a PhD in mathematical modeling with a focus on biomedical applications. His work integrates mathematical analysis with clinical data to address challenges in personalized medicine, disease progression modeling, and systems biology. Notable contributions include models for hematopoietic stem cell dynamics, endotoxin-induced inflammation responses, and intracranial pressure regulation. His research outputs (132+ articles) emphasize interdisciplinary approaches, with recent work analyzing myeloproliferative neoplasms, kidney function biomarkers, and immunotherapy optimization. He actively collaborates internationally, organizing conferences like the 12th European Conference on Mathematical and Theoretical Biology and leading the Nordic Biomathematics community. Media engagements highlight his innovative 'mathematical microscope' methodology, which provides novel diagnostic tools for conditions like depression. Despite no listed awards, his work has received attention for bridging clinical and computational sciences through dynamic models predicting treatment outcomes and disease behavior. He has supervised numerous interdisciplinary projects and participates in initiatives like Greater Copenhagen Health Science Partners. His activities span peer review, academic leadership, and public engagement, emphasizing the translation of mathematical insights into clinical practice.

Ahmad Adnan QidanView profile

Researcher

• Optical Wireless Communication
• Machine Learning in Communications
• Wireless Networks
• +3 more

Dr. Ahmad Adnan Qidan is a Research Associate in the Department of Engineering at King’s College London, UK. He previously served as a Research Fellow at the Institute of Communication and Power Networks within the School of Electronic and Electrical Engineering at the University of Leeds (2020-2023). His career focuses on advancing optical wireless communication systems through AI-driven optimization. PhD in Multimedia and Communications from Universidad Carlos III de Madrid (2020) Current affiliation: King’s College London Past affiliation: University of Leeds Dr. Qidan's research bridges optical wireless communication with machine learning , targeting efficiency in high-speed networks. Key areas include interference management , power allocation , and dynamic resource optimization . His publications highlight trends in AI/ML for OWC , NOMA systems , and IRS technologies , with recent work addressing satellite-terrestrial network integration and energy-efficient architectures. Outstanding Thesis Award (2020-2021) - Universidad Carlos III de Madrid IEEE PhD Thesis Award (2020) - IEEE Spanish Signal Processing and Communications Dr. Qidan contributes as a reviewer to leading IEEE journals and has published extensively on AI-driven solutions for optical wireless systems, despite no explicit mention of student advising or grant funding.

• Cardiovascular Medicine
• Cardiology
• Interventional Cardiology
• +3 more

Professor Hany Eteiba is an Honorary Professor at the University of Glasgow's School of Cardiovascular & Metabolic Health, affiliated with the Institute of Cardiovascular & Medical Sciences. His research focuses on coronary microvascular dysfunction, myocardial infarction pathophysiology, and interventional cardiology. He has led pivotal studies such as the CorMicA trial, exploring coronary function testing in angina management. His work emphasizes translational research linking invasive hemodynamic measurements with clinical outcomes. Education: Not explicitly stated in provided text. Affiliations: Golden Jubilee National Hospital, Glasgow Research interests include coronary artery disease mechanisms, PCI optimization, and imaging biomarkers for infarct assessment. Over 60+ peer-reviewed publications span topics like fractional flow reserve (FFR), microvascular injury prognostics, and stent optimization strategies. Collaborations include multi-center trials (e.g., FAMOUS-NSTEMI) and device development for coronary interventions. Key contributions include defining microvascular resistance roles in prognosis and advancing thermodilution-based diagnostic techniques. His work bridges clinical cardiology with advanced imaging and genetic analysis to improve ischemic heart disease management.

Neil RowanView profile

Adjunct Professor

• Sustainability
• Sterilization
• OneHealth
• +6 more

Dr. Neil Rowan is a globally recognized academic and innovator in the Faculty of Science and Health at Technological University of the Shannon (TUS). He holds adjunct and honorary professorships at University of Galway (School of Medicine) and University KwaZulu-Natal (School of Nursing and Public Health). His career spans over 30 years, blending academic leadership with industry collaboration, particularly in medical device innovation, bioscience, and sustainable development. He directs TUS’s Bioscience Research Institute and co-leads projects such as Empower Eco, an EU-funded platform for green innovation. Education & Early Career: He began at Strathclyde University with a Senior Lectureship (top 5* UK Research Assessment). His academic training includes expertise in applied microbiology, biotechnology, and risk mitigation. Research Focus: Dr. Rowan’s work centers on cross-cutting domains like sterilization science, bioeconomy systems, and digital technologies. He pioneers applications of AI in sustainability (e.g., wastewater-to-energy systems) and integrates peatlands into aquaculture for climate resilience. His research aligns with UN SDGs, emphasizing zero-waste, circular economy, and OneHealth principles. Impact & Recognition: Ranked in Stanford’s Top 2% Global Scientists (2023), he advises the European Innovation Council and chairs roles at University Malaya. His work has led to 160+ publications and media recognition for initiatives like the €5M Mount Lucas Bioeconomy Aquaculture Project. Training & Leadership: Mentor to 40+ PhD students and 14 MSc graduates, he emphasizes skill transfer to industry. He evaluates high-risk/high-reward deep tech innovations and leads national strategies like Ireland’s ‘Creating Our Future’ research framework. Labs & Collaborations: Leads CURAM SFI Medical Device Centre and collaborates internationally via projects like MSCA ITN MedTrain. His Empower Eco platform fosters multi-actor innovation for Green Deal initiatives.

• Cardiology
• Critical Care Medicine
• Transplantation Medicine
• +3 more

Bhavesh Patel is a Clinical Instructor in Internal Medicine at Yale School of Medicine, Yale University. His research focuses on mechanical circulatory support, extracorporeal membrane oxygenation (ECMO), heart and kidney transplantation outcomes, and critical care medicine. He has contributed to studies on patient survival rates using MCS, kidney function post-transplant, and ECMO management during the pandemic. His work often involves large single-center analyses and multidisciplinary approaches. Education includes an MD from American University, British West Indies School of Medicine (Montserrat, 1997), and a BS from Stockton State College (1993). His research interests emphasize cardiovascular support devices, pandemic-related critical care protocols, and optimizing outcomes in transplant patients. Recent publications highlight innovations in ECMO weaning challenges and post-transplant renal function. No formal awards or grants are listed, but his involvement in high-impact studies underscores his contributions to clinical cardiology and critical care. He collaborates with teams addressing complex cases such as simultaneous heart-kidney transplants and managing right-to-left shunt complications during ECMO.

Cem ErsoyView profile

Professor

• Computer networks
• Pervasive computing
• Edge computing
• +1 more

Cem Ersoy is a Professor at Bogazici University 's Department of Computer Engineering, with a career spanning over 30 years. He has held visiting positions at the University of Trento, Italy, and previously served as Department Head at Bogazici University multiple times. Education : Ph.D. in Electrical Engineering (Polytechnic University, 1992), M.S. in Electrical Engineering (Bogazici University, 1986), B.S. in Electrical Engineering (Bogazici University, 1984) His research focuses on computer networks , pervasive computing , edge computing , and wireless networks . Recent work highlights AI integration in air computing, stress monitoring with wearables, and edge network optimization. Articles span applications of multi-agent DRL, probabilistic tracking, and network slicing. Scientific awards : Elected to the Academy of Sciences of Turkey (2022) Bogazici University Research Excellence Awards (Junior 2007, Senior 2014) He has supervised 24 PhD and 58 MS theses. As principal investigator, he led 35 funded research projects by agencies such as the EU, TUBITAK, and Bogazici University Research Fund. His Google Scholar profile shows 11,856 citations, h-index 43, and i10-index 130.

• Stroke Medicine
• Neurology
• Clinical Trials
• +6 more

Professor Jesse Dawson is a Professor of Stroke Medicine and Consultant Physician at the University of Glasgow's College of Medical, Veterinary and Life Sciences (MVLS). He leads research in stroke prevention, rehabilitation, and clinical trials, particularly focusing on treatments for upper limb impairment post-stroke and anticoagulation strategies. He chairs the MVLS Research Ethics Committee and is Treasurer of the European Stroke Organisation. His work includes landmark trials like VNS-REHAB (vagus nerve stimulation for stroke recovery) and ELAN (anticoagulation timing post-stroke). Key areas include xanthine oxidase inhibition (XILO-FIST trial), robotic therapy (RATULS trial), and atrial fibrillation management. He has published in high-impact journals like The Lancet and New England Journal of Medicine . Affiliations: University of Glasgow, Queen Elizabeth University Hospital, European Stroke Organisation. Research Groups: Obesity, Stroke, Vascular Diseases. Research Interests: Clinical trials in stroke prevention/rehabilitation, vagus nerve stimulation, anticoagulation timing, and biomarkers for atrial fibrillation detection. His work emphasizes translating novel therapies into clinical practice, such as FDA-approved VNS paired with rehabilitation. Articles Overview: Recent work focuses on guideline adherence, anticoagulant timing, and neurorehabilitation innovations. Key themes include cerebrovascular effects of therapies, infarct growth analysis, and biomarker studies for stroke risk stratification. Awards/Leadership: Leadership roles in stroke organizations and trial leadership (e.g., ELAN, VNS-REHAB). Recognized for contributions to stroke guidelines and ethical research practices. Advising & Grants: Leads multi-center trials funded by BHF/Stroke Association. Collaborates internationally (e.g., with Prof. Urs Fischer on anticoagulation studies). Labs/Teams: Part of the Stroke Trials Unit and research ethics committee at Glasgow. Involved in global collaborations for stroke prevention strategies.

• Regenerative medicine (incl. stem cells)
• Biomaterials
• Tissue engineering
• +3 more

Dr. Anita Quigley is an Associate Professor in the School of Engineering at RMIT University. Her research focuses on regenerative medicine, biomaterials, and tissue engineering, with applications in neural interfaces, bioinks, and stem cell therapies. She leads a team exploring advanced materials for medical devices and has supervised 12 research-based projects since 2019. Her work spans interdisciplinary collaborations in biomedicine, nanotechnology, and engineering. Key research interests include developing bioengineered scaffolds for tissue repair, optimizing hydrogel properties for cell behavior, and studying neurological disorders using cerebral organoids. She contributes to committees like ACMD TRACE and maintains a strong publication record in biomaterials and biomedical engineering journals. Recent articles highlight innovations in melt-electrospun scaffolds, graphene-enhanced nerve regeneration systems, and optogenetic stimulation techniques. Her research bridges fundamental science and clinical applications, aiming to advance regenerative therapies and biomedical technologies.

Chong ChengView profile

Professor

• Biodegradable Polymers
• Drug Delivery Systems
• Nanostructure Synthesis
• +5 more

Dr. Chong Cheng is a Professor in the Department of Chemical and Biological Engineering at the University at Buffalo (SUNY), affiliated with the Cell, Gene, and Tissue Engineering Center. His research focuses on biodegradable polymers, drug delivery systems, and tissue engineering materials. He holds a PhD in (Polymer) Chemistry from the City University of New York (2003) and conducted postdoctoral research at Washington University in St. Louis with Prof. Karen L. Wooley. Before joining UB in 2007, he was promoted to Associate Professor in 2013 and later to full Professor. Education: BS in Polymer Materials, Hefei University of Technology (1993) MS in Polymer Materials, Beijing University of Chemical Technology (1996) PhD in (Polymer) Chemistry, City University of New York (2003) Research Interests: Dr. Cheng develops novel polymers for therapeutic delivery (e.g., drug-gene co-delivery systems), template synthesis using crystallized miniemulsions for nanomaterial fabrication, and polymers with unique architectures. His work bridges polymer chemistry, nanotechnology, and biomedical applications, including antibacterial dental materials and biodegradable drug carriers. Grants & Advising: While no student names are listed, his research group advises graduate students in polymer science and engineering. His grants focus on NSF-funded projects related to drug delivery and materials engineering. Labs/Teams: Active in the Cell, Gene, and Tissue Engineering Center, collaborating on nanomedicine and biomaterials projects.

• Biomaterials
• Biomedical Engineering
• Tissue Regeneration
• +6 more

Jonathan Massera is a Professor at Tampere University's Faculty of Medicine and Health Technology, leading the Bioceramics, Bioglasses, and Biocomposites group. His research focuses on developing bioactive glasses and composites for tissue regeneration, with recent advancements in biophotonic materials for infection sensing and in-vivo imaging. He directs the International MSc program in Biomaterials Science and Engineering (BMSE) and oversees projects such as AGATE, GLOWTRACK, and UNIBIO, funded by the Academy of Finland and EU's Horizon 2020. Research Interests: Prof. Massera's work spans biomaterials science, with an emphasis on bioactive glasses, bioceramics, and composites for hard/soft tissue regeneration. Key areas include scaffold design, material-cell interactions, and integrating biophotonics for diagnostic/therapeutic applications. His lab explores novel materials in forms like granules, fibers, and gels, addressing clinical challenges in bone, cartilage, and nerve repair. Top Projects: AGATE (2016-2021): Bioactive glass scaffolds for tissue engineering GLOWTRACK (2020-2022): In-vivo imaging via biophotonic implants UNIBIO (2020-2024): Graded bioactive scaffolds for bone regeneration Awards: Academy of Finland Post-Doctoral Research Fellowship Academy Research Fellow (Academy of Finland) Advising & Grants: Supervises graduate researchers and manages multi-million-euro grants. Recent funding includes €2.5M from the Academy of Finland (UNIBIO) and €3.6M from H2020-MSCA (PREMUROSA). Labs/Teams: Head of the Bioceramics group at Tampere, collaborating internationally on material design, biophotonics, and clinical translation.

• Tissue Engineering
• Vascularization
• Bioprinting
• +7 more

Jeroen Rouwkema is an Associate Professor in Engineering Organ Support Technologies at the University of Twente, Faculty of Engineering Technology, Department of Biomedical Engineering. He is a leading researcher in tissue engineering, with a focus on vascularization and bioprinting. His work integrates advanced fabrication techniques with biological principles to engineer functional tissues with integrated vascular networks. His research interests center on tissue engineering , vascularization , bioprinting , and regenerative medicine . He investigates methods to create multiscale vascular networks in engineered tissues using programmable bioinks, aptamer-based growth factor delivery, and embedded 3D printing technologies. His lab explores how mechanical and biochemical cues influence cell behavior and tissue self-organization, particularly in cardiac and synovial models. Analysis of his recent publications reveals a strong trend toward 4D bioprinting , spatiotemporal control of growth factors , organ-on-a-chip systems , and magnetic-assisted fabrication . His work bridges engineering innovation with biological functionality, aiming to solve the critical challenge of vascularization in engineered organs. TERMIS EU Robert Brown Early Career Principal Investigator Award (2017) Rouwkema has supervised multiple PhD and research students, including D. Rana, V. R. Rangel, and P. Padmanaban, and has been involved in numerous research projects and patents. His work is supported by active collaborations across Europe and has resulted in over 140 research outputs. He is a member of the Netherlands Society for Biomaterials and Tissue Engineering, contributing to the broader academic community through invited talks and conference organization. His research is conducted within a multidisciplinary team focused on biofabrication and organ support technologies, utilizing state-of-the-art facilities for 3D printing, microfluidics, and cell culture. The lab emphasizes translational outcomes, aiming to develop clinically relevant solutions for tissue regeneration and organ support.