Find Academic Supervisors

• Equine genetics and genomics
• Animal behavior genetics
• Inherited diseases in animals
• +3 more

Dr. Brandon Velie is a Senior Lecturer at the School of Life and Environmental Sciences, University of Sydney. With a PhD in Veterinary Science (2015) and postdoctoral experience at Swedish University of Agricultural Sciences, he specializes in equine genetics and genomics, focusing on athletic performance, behavior, and inherited diseases. His work aligns with the Sydney Institute of Agriculture and research strengths in Healthy Animals and Precision Health. BSc, MSc: Animal Science & Genetics, North Carolina State University PhD: University of Sydney (Veterinary Science) Postdoc: Swedish University of Agricultural Sciences Research spans both broad and specific areas: Equine genetics : Athletic performance, disease resistance, behavioral traits Genomic medicine : QTL mapping, SNP analysis, inherited disorders Animal technology : Biometric monitoring, performance analytics Recent publications (2024-2021) reveal trends across: Performance genetics : Blood pressure regulation, energy metabolism, gait mechanics Health studies : Osteochondrosis, vitiligo-like disorders, opioid response Technological applications : Wearable sensors, genomic databases Dr. Velie supervises research students including Michelle (Applied Feline Genetics) and collaborates on projects like the Australian Heritage Brumby Initiative . He contributes to international conferences (ISAG, SMBE) and maintains ORCID-linked publications.

Haibo LiView profile

Professor

• Media Technology
• Digital Signal Processing
• Image and Video Compression
• +5 more

Haibo Li is a Full Professor of Media Technology at KTH Royal Institute of Technology, affiliated with the School of Electrical Engineering and Computer Science and Digital Futures Faculty. His roles include leading the Media Lab in MID, directing Master’s programs in Media Technology, and teaching courses like Generative AI for Media Technology and Video Technology. He holds a Technical Doctorate from Linköping University (1993) and received the Nordic Best PhD Thesis Award (1994) and Docent title in Image Coding (1997). Research focuses on digital media technologies, including image/video compression, human-computer interaction, and AI-driven media systems. He pioneered the Digital Media Lab at Umeå University and co-founded UCIT. His work spans blind image deblurring, thermal comfort sensing, and multimodal emotion recognition. Over 250 publications and six patents highlight contributions to multimedia, AI, and signal processing. Key projects include developing contactless thermal measurement systems for smart buildings, real-time gesture recognition for wearable devices, and advanced neural networks for image restoration. Awards include the Nordic Best Thesis and leadership in EU projects. He chairs conferences and actively participates in MPEG standardization efforts.

Ramkumar JanakiramanView profile

Professor

• Digital/Social Media
• Multichannel Marketing
• Retailing
• +7 more

Ramkumar Janakiraman is the R. Randall Rollins Distinguished Professor and Professor of Marketing Analytics at the Poole College of Management, North Carolina State University. He holds expertise in econometric modeling of firm and consumer decision-making, with research focused on digital/social media marketing, multichannel retailing, healthcare analytics, and public policy. His work bridges quantitative techniques with marketing applications, addressing areas like pricing analytics and database marketing. Education: Ph.D. in Business Administration (Marketing) from the University of Southern California. Prior roles include tenured faculty positions at the University of South Carolina and Texas A&M University. Research interests span digital marketing strategies, big data applications, and healthcare policy. Recent studies examine consumer behavior in response to daylight saving time changes, health information exchange impacts, and social media engagement in political contexts. His work appears in top-tier journals like Marketing Science and Management Science . Notable achievements include the R. Randall Rollins Distinguished Professorship. His research bridges methodological rigor (econometrics, structural models) with substantive areas like consumer choice and public policy. Advising and grants: While specific student names aren't listed, his research collaborations likely involve graduate students in marketing and analytics. His work frequently addresses real-world operational challenges in healthcare and retail sectors. Labs/teams: Engaged with initiatives at NC State focusing on marketing analytics and healthcare operations, though specific lab affiliations aren't detailed in the text.

Dmitriy BabichenkoView profile

Clinical Professor

• Serious Games
• Immersive Media
• Medical Education Technology
• +3 more

Dmitriy Babichenko is a Clinical Professor in the Department of Informatics and Networked Systems (DINS) at the University of Pittsburgh's School of Computing and Information (SCI). With 16 years of industry experience in IT and educational software, he specializes in game design, user experience engineering, and medical education technology. He co-founded SCI’s Learning Technologies Laboratory in 2015, focusing on serious games and immersive media for healthcare and education. His research interests include serious games for healthcare interventions, immersive media applications in cultural preservation (e.g., HeritageRoots project), and AR/VR in surgical training. He teaches courses in programming, data mining, and database management. His work bridges educational technology and clinical medicine, with notable projects like the Dr. Zoo game for pediatric anxiety reduction and SterileAR for sterile compounding training. Publications span medical informatics, IBD biomarker research, and educational game design. Key contributions include studies on dietary impacts on IBD severity, AR surgical tools, and community-engaged serious game development. His lab explores both technological and pedagogical innovations, emphasizing practical applications in healthcare and STEM education.

Rebecca GreenView profile

Assistant Professor

• Developmental Biology
• Craniofacial Morphogenesis
• 3D Imaging
• +1 more

Rebecca Green is Assistant Professor at the University of Pittsburgh School of Dental Medicine. Her research integrates 3D imaging, molecular biology, and computational approaches to study craniofacial development and birth defects. Key Projects: NIH-funded investigations into genetic-environmental interactions in facial development. Recognized with 2023 New Investigator Award. Leads development of MusMorph – a major mouse morphology database.

• Semantic Modeling
• Ontology Engineering
• Text Mining
• +3 more

Terje Brasethvik is an Associate Professor at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). His research focuses on ontology engineering, semantic modeling, and information systems, with a strong emphasis on text mining and knowledge representation. He earned his doctoral degree from NTNU in 2004 with a dissertation on conceptual modeling for document retrieval. His work spans ontology relationship learning, collaborative healthcare systems (e.g., EigenJournal), and enterprise systems. Notable contributions include hybrid approaches to ontology learning, semantic web technologies, and empirical evaluations of conceptual models. Brasethvik has participated in international conferences and workshops, including the First International Workshop on Innovative Internet Information Systems (1998) and the International Symposium on Electronic Personal Health Records (2006). His publications highlight interdisciplinary applications in healthcare informatics, data mining, and collaborative platforms. Brasethvik has co-authored reports on semantic enrichment for system interoperability and contributed to educational initiatives integrating peer review in IS courses.

Paul Andrew JohnstonView profile

Professor

• Drug Discovery
• Cancer Research
• High Content Imaging
• +5 more

Paul Andrew Johnston is a Professor of Pharmaceutical Sciences at the University of Pittsburgh School of Pharmacy. He holds a B.Sc. (Honors) and Ph.D. in Biochemistry from the University of East Anglia, followed by postdoctoral research at UNC Chapel Hill, Duke University, and the Howard Hughes Medical Institute. With over 30 years of drug discovery experience across academia and industry, his expertise spans high content imaging, HTS/HCS assay development, and 3D tumor modeling. He founded the University of Pittsburgh Molecular Library Screening Center (PMLSC), leading 21 HTS campaigns and pioneering the ALMANAC database for cancer drug combinations. His current research focuses on prostate cancer, melanoma, head/neck cancer, and hepatocellular carcinoma drug discovery through innovative screening approaches. Education: B.Sc. with Honors (2.1), Biochemistry, University of East Anglia (1978) Ph.D., Biochemistry, University of East Anglia (1983) Research Focus: Integrating advanced imaging technologies with high-throughput screening to identify synergistic drug combinations and novel therapeutics. Specializes in patient-derived 3D tumor models, androgen receptor inhibition in prostate cancer, and overcoming drug resistance mechanisms. Active in developing standardized HTS protocols for precision medicine applications. Key Contributions: Developed NCI-60 cell line combination screening methodologies, pioneered multicellular tumor spheroid analysis frameworks, and established organoid models for personalized cancer therapy evaluation. Served as past president of the Society for Biomolecular Imaging and Informatics (SBI2). Advising & Grants: Mentors Pharm.D. and Ph.D. students in drug discovery. Leads collaborative projects with academic and industry partners, including work on HDAC8 inhibitors for kidney injury and Src kinase modulators. Actively participates in grant initiatives related to cancer drug discovery and assay development. Labs & Facilities: Director of chemical biology laboratories within the School of Pharmacy's Pharmaceutical Sciences department. Oversees the PMLSC's HTS/HCS facilities and maintains close ties with the University of Pittsburgh Liver Research Center for collaborative oncology studies.

Linda Juel AhrenfeldtView profile

Associate Professor

• General Practice
• Public Health
• Aging Research
• +10 more

Linda Juel Ahrenfeldt is an Associate Professor at the Department of Public Health, University of Southern Denmark, where she is affiliated with the Research Unit of General Practice. Her work spans research, teaching, and supervision, with a strong focus on aging, gender differences in health, sensory impairments, and continuity in primary care. University: University of Southern Denmark School: Department of Public Health Department: Research Unit of General Practice Academic Rank: Associate Professor Email: lahrenfeldt@health.sdu.dk Her research interests include aging research, mental health in older adults, sex differences in mortality, sensory impairments, and physician training in general practice. She employs longitudinal and cohort methodologies to explore how social, biological, and healthcare factors influence health outcomes in aging populations. Her work frequently uses Danish national registries and international datasets like SHARE. The 15 most recent articles reflect a consistent focus on public health, epidemiology, and primary care. Key themes include cardiovascular and cancer outcomes, vaccine acceptance, sensory impairments, and mental health in older adults. Methodologically, her research emphasizes cohort analysis, regression modeling, and longitudinal design, contributing significantly to understanding health disparities and healthcare delivery. Peer reviewer for: Aging & Mental Health, European Journal of Clinical Investigation, PeerJ, Archives of Public Health Active participant in conferences and workshops, including Symposium i Anvendt Statistik Linda Juel Ahrenfeldt supervises multiple PhD and research projects, including AVID (visually impaired individuals), cancer diagnostic pathways, and health among seafarers. She has co-supervised and managed several interdisciplinary projects, often in collaboration with researchers from ophthalmology, epidemiology, and social medicine. Her teaching includes biostatistics, epidemiology, and public health, contributing to both undergraduate and postgraduate education. She leads and participates in research labs and teams focused on general practice, aging, and sensory health, fostering collaboration across disciplines. Her work has policy implications, particularly in primary care improvement and aging societies.

Markus PerolaView profile

Researcher

• Biomedicine
• Genetic Epidemiology
• Population Health
• +5 more

Markus Perola serves as a University Researcher at the University of Helsinki, holding dual roles as Supervisor for the Doctoral Programme in Biomedicine and the Doctoral Programme in Population Health. He maintains an active external position at THL (Finnish Institute for Health and Welfare) since 2001, demonstrating long-term commitment to national public health research. His research spans Biomedicine , Genetic Epidemiology , and Population Health , with particular focus on Genetic determinants of autoimmune diseases and diabetes Chronobiology and socioeconomic interactions Mitochondrial mechanisms in liver disease Large-scale biobank analytics (FinnGen) Electronic health record mining for clinical insights cutting-edge methodologies in precision medicine and population-scale data integration. Analysis of his 367 publications reveals dominant themes in genomic epidemiology and translational biomedicine , with recent work emphasizing AI-driven risk prediction (particularly for COVID-19 outcomes), mitochondrial pathways in chronic diseases, and fine-scale genetic ancestry mapping. His research increasingly integrates multi-omics data with real-world clinical records. His scientific leadership includes major EU-funded initiatives: B1MGplus (€10,420 funding) EU/PROPHET (€66,681 funding) PRIMUS privacy-preserving meta-learning project GoE: Genome of Europe initiative FinnGen biobank consortium Perola actively supervises doctoral candidates through two university programs while contributing to 34 media engagements that translate complex genomic findings for public understanding. His work demonstrates consistent translational impact from basic genetic mechanisms to clinical applications and public health policy.

Gianluigi TiberiView profile

Research Fellow

• Microwave Imaging
• Biomedical Engineering
• Breast Cancer Detection
• +7 more

Dr. Gianluigi Tiberi is a Marie Curie Fellow at London South Bank University, affiliated with the College of Engineering, Design and Physical Sciences and the Department of Engineering. He conducts cutting-edge research at the intersection of biomedical engineering and microwave imaging, primarily focused on non-invasive cancer and stroke detection technologies. His research interests span Microwave Imaging , Biomedical Signal Processing , Deep Learning for Medical Diagnosis , and Huygens' Principle Applications in clinical settings. He plays a key role in advancing the MammoWave device, a novel microwave-based system for breast lesion detection, with applications also extending to stroke classification. The recent publications highlight a strong trend toward integrating artificial intelligence with electromagnetic imaging techniques, emphasizing safety assessment, automated lesion localization, and decision-level data fusion. His work increasingly leverages deep learning and hierarchical AI models to improve diagnostic accuracy and clinical applicability. Scientific Awards: Marie Curie Fellow Dr. Tiberi actively contributes to clinical research and data sharing, having published multiple datasets from multicentric trials. While formal advising roles are not detailed, his collaborations indicate mentorship and team leadership in large-scale biomedical projects. He is involved in research grants likely funded by the European Commission through the Marie Curie program, supporting innovation in medical imaging technologies. He is associated with the REACT Innovation Centre and the Bioscience and Bioengineering Research Centre at LSBU, where interdisciplinary teams develop next-generation healthcare devices. His work contributes directly to UN Sustainable Development Goal 3: Good Health and Well-being.

Elif KüzeciView profile

Associate Professor

• Data Protection Law
• Telehealth Compliance
• Public Law
• +7 more

Assoc. Prof. Dr. Elif Küzeci is an Associate Professor and Associate Dean at the Faculty of Law, Bilkent University. Her primary affiliation is with the Public Law Department where she focuses on cutting-edge legal issues at the intersection of technology and privacy. She holds a key administrative role managing academic affairs and strategic initiatives within the faculty. Her research interests span data protection law, telehealth compliance frameworks, blockchain's legal implications, and digital rights governance. Notable areas of expertise include GDPR implementation in Turkey, telemedicine regulations, and ethical considerations in emerging technologies like AI and biometric systems. Prof. Küzeci’s recent publications (2020-2025) reveal a focus on modern challenges such as blockchain-based privacy solutions, telehealth legal frameworks during pandemics, and cross-border data transfer mechanisms. Her work bridges technical innovation with legal accountability, often critiquing surveillance practices and advocating for human-centric data governance models. No scientific awards are explicitly mentioned in the provided texts. Her academic advising and grant activities remain unspecified, though her administrative role suggests involvement in institutional research funding initiatives. She contributes to Bilkent's legal education programs including LLM and PhD specializations in Public and Private Law.

• Neuroimaging
• MRI Segmentation
• Brain Structure Analysis
• +5 more

Dr. Pierre-Louis Bazin is a Researcher in the Department of Neurophysics at the Max Planck Institute for Human Cognitive and Brain Sciences. He holds a PhD from INRIA Rocquencourt (France) and conducted postdoctoral research at Brown University and Johns Hopkins University in the US. His work focuses on advanced neuroimaging techniques, including high-resolution MRI parcellation, quantitative MRI, and subcortical structure analysis. Key projects involve developing automated segmentation tools (e.g., Nighres), exploring cerebellar and subcortical anatomy, and investigating neurodegenerative markers using multi-modal approaches. Education 1995-1998: Electrical Engineering Diploma, SUPELEC (France) 1998-2001: PhD in Computer Vision & Graphics, INRIA Rocquencourt (France) 2001-2003: Postdoc in Computer Vision & Archaeology, Brown University (USA) 2003-2006: Postdoc in Neuroimaging, Johns Hopkins University (USA) Research Interests High-field MRI (7T+) applications in structural and functional brain mapping Development of neuroimaging software tools (e.g., Nighres) Subcortical and cerebellar morphometry in health and disease Quantitative MRI techniques for histology correlation Connectivity analysis in psychiatric disorders (e.g., schizophrenia) Awards Royal Netherlands Academy of Arts and Sciences (KNAW) membership (2020, 2024) Grants & Labs : Directs the Neurophysics lab at MPI-CBS. Active in large-scale projects like the Amsterdam Ultra-high field adult lifespan database (AHEAD). Collaborates on tools like MP2RAGEME for multi-parametric MRI. Labs/Teams : Leads neuroimaging method development and clinical translation efforts in Leipzig, Germany.

David A. HanauerView profile

Associate Clinical Professor

• Healthcare Informatics
• Clinical Data Analysis
• Artificial Intelligence in Healthcare
• +4 more

David A. Hanauer is a Clinical Associate Professor at the University of Michigan, holding joint appointments in Pediatrics, Learning Health Science, and the School of Information. He focuses on healthcare informatics, clinical data analysis, and AI applications in medicine. His work addresses challenges in reproducibility of large language models, healthcare data standards, and privacy-preserving techniques. Education: BA, Cornell University (1995) MD, University of Michigan Medical School (1999) MS, Harvard–MIT Division of Health Sciences and Technology (2004) Pediatric Residency, New York University (2002) Research Interests: Dr. Hanauer explores clinical natural language processing, healthcare AI validation, interoperability standards like LOINC, and privacy-preserving methods for training clinical models. He develops tools like EMERSE to enhance unstructured data utilization. Affiliations: Institute for Healthcare Policy and Innovation, Rogel Cancer Center, Center for Computational Medicine and Bioinformatics. Grants & Mentoring: Available to mentor researchers. His grants likely support clinical informatics projects given his publication focus.

Charles T. BakhosView profile

Professor

• Thoracic Surgery
• Minimally Invasive Surgery
• Robotic Surgery
• +16 more

Charles T. Bakhos is a Professor in the Department of Thoracic Medicine and Surgery at the Lewis Katz School of Medicine, Temple University, and holds leadership roles as Vice Chief of the department and Director of the Tracheobronchomalacia Program at Temple University Hospital. He specializes in general thoracic surgery with a focus on minimally invasive and robotic approaches to lung, esophageal, and airway diseases. MD, Université Saint-Joseph, Lebanon MS, Cardiovascular Pharmacology, Université Claude Bernard, France MBA, Health Sector Management, Temple University, Fox School of Business Residency, Cardiothoracic Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School Residency, General Surgery, Hospital of Saint Raphael, Yale School of Medicine Dr. Bakhos’s research interests include surgical education and simulation, cost-efficiency analysis in thoracic oncology, the impact of minimally invasive techniques on patient outcomes, and large database analysis. His clinical expertise spans lung and esophageal cancer, benign esophageal diseases, airway surgery, chest wall deformities, and complex mediastinal tumors. The 15 most recent publications highlight his work in tracheobronchomalacia, endobronchial valve therapy, minimally invasive esophagectomy, pulmonary arteriovenous malformations, and surgical simulation. His research combines clinical innovation with educational advancement and outcomes analysis, emphasizing patient-centered care and technical excellence. Scientific Awards and Honors: Top Doctors, Thoracic & Cardiac Surgery, Philadelphia magazine (2023–2025) Valedictorian, Saint Joseph University Faculty of Medicine (2001) Scholarship from the City of Lyon and Saint Joseph University (2002) Sheridan-Alley Outstanding Teacher of the Year Award, Albany Medical Center (2012) Shirley Rock Endowed Scholarship, Fox School of Business (2021) Dr. Bakhos is actively involved in teaching and mentoring, having received awards for excellence in surgical education. He has contributed to surgical training through simulation curriculum development and has published on surgical techniques and outcomes. His leadership roles in quality improvement and program direction reflect his commitment to advancing clinical standards. He is a Fellow of the American College of Surgeons (FACS) and a member of several professional societies including the Society of Thoracic Surgeons and the American College of Chest Physicians. His work is supported by his multidisciplinary team at the Temple Lung Center, where he leads innovative programs in airway disease and minimally invasive thoracic surgery.

Larry FrohmanView profile

Associate Professor

• Modern Europe
• Surveillance Studies
• Information Society
• +7 more

Larry Frohman is an Associate Professor in the Department of History at Stony Brook University, part of the College of Arts and Sciences. His research focuses on modern European history, particularly Germany, with strong emphasis on surveillance, privacy, welfare policy, and intellectual history. His primary research interests include: Surveillance and the Information Society Welfare and Social Policy in Modern Germany Intellectual History of Modern Europe History of Privacy and State Power Population Registration and Bureaucratic Governance Medical Confidentiality in the Digital Age Frohman's recent scholarship centers on the historical evolution of personal data governance, especially in West Germany. His 2020 book, The Politics of Personal Information , explores how digital mediation reshaped privacy and power dynamics. Earlier, he examined the roots of social welfare in Poor Relief and Welfare in Germany (2008), tracing the transition from punitive poor relief to modern welfare. His article topics reveal a consistent focus on resistance to state data collection, such as the 1983–87 census boycotts, failed national database projects, and shifts in medical confidentiality due to electronic data processing. Notable works include: 'Only Sheep Let Themselves Be Counted': Privacy, Political Culture, and the 1983–87 West German Census Boycotts Network Euphoria, Super-Information Systems and the West German Plan for a National Database System Population Registration in Germany, 1842–1945 Impact of Electronic Data Processing on Medical Confidentiality Frohman holds a Ph.D. from the University of California, Berkeley (1992), and began his academic career studying the philosopher Wilhelm Dilthey. While no specific awards are listed, his publications appear with prestigious academic presses like Berghahn and Cambridge University Press, indicating scholarly recognition. He is actively engaged in graduate education and historical research, advising students in modern European and German history. He is affiliated with the Department of History at Stony Brook University, where he continues to explore the intersections of technology, governance, and civil society in modern history.