Find Academic Supervisors

• Computer Vision
• Generative Modeling
• Multimodal Foundation Models
• +4 more

Jiankang Deng is a Lecturer in the Department of Computing at Imperial College London, within the Faculty of Engineering. His research focuses on multi-modality foundation models, generative modeling of physical entities, and computer vision applications. He leads projects such as InsightFace.ai for facial analysis and synthesis. Previously, he earned his PhD (2020) from Imperial College under Prof. Stefanos Zafeiriou, focusing on deep face analysis and modeling. Education: PhD in Computing (2016-2020) from Imperial College London. Research interests include photorealistic facial reconstruction, generative adversarial networks, and multimodal learning. His work bridges computer vision with practical technologies for societal impact. Publications reflect expertise in 3D reconstruction, diffusion models, and cross-modal systems. Notable areas include hand motion analysis, face reflectance estimation, and tactile robotics. His work emphasizes scalability and real-world applicability. No awards listed explicitly, but his research contributions are evident through active publications and industry collaborations. Advising and lab work involve the IBUG research group, focusing on facial recognition and generative AI systems. Labs/Teams: Part of the Imaging and Biomedical Engineering Group (IBUG), collaborating on projects like FaceMAE for privacy-preserving recognition and MogFace for advanced face detection systems.

Alison BoardmanView profile

Associate Professor

• Equity in Education
• Bilingualism and Biliteracy
• Project-Based Learning (PBL)
• +4 more

Dr. Alison Boardman is an Associate Professor in the School of Education at the University of Colorado Boulder. Her research focuses on equity, bilingualism, biliteracy, and the implementation of evidence-based instructional strategies such as Project-Based Learning (PBL) and Collaborative Strategic Reading (CSR) in inclusive classrooms. She collaborates closely with teachers and school leaders to innovate reading instruction methods that support emergent bilingual learners and students with disabilities. Dr. Boardman’s work emphasizes teacher professional development, particularly through co-design frameworks and video self-reflection techniques to enhance instructional practices. She leads a design-based implementation research study developing a PBL course for high school language arts classrooms, investigating its sustainability and adaptations for students with disabilities. Her research also explores the integration of CSR strategies to promote student-led discussions and improve engagement among diverse learners. Dr. Boardman has a background as a special education teacher and advocates for high expectations and inclusive practices in education. As a principal investigator, she has contributed to studies on scaling PBL initiatives, teacher leadership roles, and addressing systemic inequities in teacher preparation programs. Her interdisciplinary approach bridges special education, literacy, and curriculum design to foster accessible and effective learning environments.

Jee Woong ParkView profile

Associate Professor

• Construction Safety Management
• Machine Learning Applications in Civil Engineering
• Wearable Technology for Hazard Detection
• +4 more

Jee Woong Park is an Associate Professor in the Department of Civil and Environmental Engineering and Construction at the Howard R. Hughes College of Engineering, University of Nevada, Las Vegas (UNLV). His research focuses on integrating artificial intelligence with construction safety systems, wearable technology, and infrastructure monitoring. Research Interests Construction Safety Management Machine Learning Applications in Civil Engineering Wearable Technology for Hazard Detection Agent-Based Modeling in Construction Planning Recent publications examine AI-enhanced risk assessment, crane operation optimization, and traffic crash analytics. Notable accolades include the 2022 Distinguished Researcher Award at UNLV and the Korean American Construction Engineering Association's Junior Faculty Award. Scientific Awards Distinguished Researcher Award (2022), Howard R. Hughes College of Engineering Junior Faculty Award (Korean American Construction Engineering Association) Dr. Park serves as lead guest editor for Sensors, and mentors graduate students including Ali Khodabandelu and Cristian Arteaga, who received 2022 Graduate Differential Fees Scholarships.

Alison CohenView profile

Assistant Professor

• Epidemiology
• Public Health
• Health Equity
• +7 more

Alison Cohen, PhD, MPH is an Assistant Professor in the Department of Epidemiology and Biostatistics at the University of California, San Francisco (UCSF) School of Medicine. She is also affiliated with the Philip R. Lee Institute for Health Policy Studies. Her research focuses on community-driven, policy-relevant applied epidemiology, with an emphasis on social and environmental determinants of health and interventions addressing health inequities. She collaborates extensively with community-based organizations globally and explores topics such as Long COVID, youth civic engagement, and participatory research methodologies. Education: B.A., Community Health & Education Studies, Brown University (2009) M.P.H., Epidemiology & Biostatistics, UC Berkeley (2012) Ph.D., Epidemiology, UC Berkeley (2017) Research Interests: Dr. Cohen’s work integrates participatory approaches to address systemic health disparities, particularly in marginalized communities. She investigates how social structures, environmental exposures, and civic actions influence health outcomes. Her recent projects include studies on Long COVID in transgender populations, sociopolitical stress in college students, and environmental health in industrial zones like Marseille, France. Awards & Recognition: None explicitly listed in provided texts. Grants & Advising: Active in mentoring trainees interested in community-based research. Her research has been supported by collaborations with organizations such as Mujeres Unidas y Activas and Generation Citizen. She leads projects funded through participatory partnerships and federal grants focused on health equity initiatives. Labs/Teams: Involved in the FOS EPSEAL study in France and the UCSF-led Long COVID research network. Collaborates with multidisciplinary teams including epidemiologists, community activists, and public health policymakers.

Alison RustagiView profile

Assistant Professor

• Precision Prevention
• Cancer Screening
• Veterans Health
• +6 more

Dr. Alison Rustagi is an Assistant Professor at the University of California, San Francisco (UCSF) School of Medicine and a primary care physician in the Division of General Internal Medicine at the San Francisco Veterans Affairs (VA) Hospital. Her research focuses on precision prevention, particularly optimizing lung cancer screening, minimizing its harms, and improving access for high-risk populations, including veterans. She leads studies on lung cancer screening epidemiology in veterans, leveraging VA healthcare data to address unique health disparities. Dr. Rustagi holds dual training in medicine and epidemiology, with expertise in implementation science and public health. Education: Bachelor of Arts in Human Biology (2005), Stanford University PhD in Epidemiology (2013), University of Washington MD (2018), University of California, San Francisco Post-doctoral Fellowship in Global Health (2016), University of Washington Residency in Internal Medicine (2021), UCSF Internship in Internal Medicine (2019), Santa Clara Valley Medical Center Research Interests: Dr. Rustagi’s work bridges clinical practice and population health, emphasizing evidence-based preventive strategies. Her studies address lung cancer screening implementation, health equity in veterans’ care, and the intersection of HIV and chronic conditions. She develops algorithms to enhance screening accuracy and evaluates real-world outcomes of clinical trials. Scientific Awards: 2024-2025 Long Term Mentoring Award, UCSF School of Medicine 2023-2024 Research & Education Scholars Award, UCSF Pepper Center Advising & Grants: While specific grants are not detailed, her awards indicate sustained funding for mentoring and research. She collaborates with interprofessional teams to improve HIV prevention (e.g., PrEP prescriptions) and lung cancer screening protocols within VA systems. Labs/Teams: Affiliated with the San Francisco VA Lung Cancer Screening Program and the UCSF Pepper Center for Aging and Metabolism, focusing on aging-related preventive care and precision oncology initiatives.

• Nonlinear Optics
• Optical Parametric Oscillators (OPOs)
• Femtosecond Lasers
• +6 more

Prof. Majid Ebrahim-Zadeh is a Professor at the Institute of Photonic Sciences (ICFO), leading research on coherent light sources through nonlinear frequency conversion techniques, particularly optical parametric oscillators (OPOs). His work spans UV to mid-IR spectral regions and includes femtosecond-scale technologies. Key focuses include developing tunable radiation sources for applications in spectroscopy, quantum information, environmental sensing, and industrial innovation. He emphasizes knowledge transfer to commercialize cutting-edge frequency conversion technology. Research interests emphasize femtosecond sources across the UV to mid-IR, fiber-laser-based cw and ultrafast OPOs, and novel nonlinear materials. His group's innovations address challenges in group-velocity matching, phase modulation, and dispersion control for ultrafast systems. Recent work includes quadratic frequency combs, geometric phase applications, and Talbot effect-based sensors. Publications highlight advancements in femtosecond OPOs, broadband frequency combs, and mid-IR sources, with a focus on practical utility in metrology, biophotonics, and nanotechnology. His contributions span both fundamental science and applied technologies, bridging academic and industrial applications. No scientific awards are explicitly listed, but his extensive publication record underscores significant contributions to the field. Advising and grants are not detailed in the provided text, though his research activities suggest strong industrial collaborations. His lab is part of ICFO's OPO group, pioneering next-generation nonlinear optical systems.

Aghil Alaee KhanghaView profile

Assistant Professor

• Geometric Analysis
• Mathematical Relativity
• General Relativity
• +3 more

Aghil Alaee Khangha is an Assistant Professor in the Mathematics department at Clark University, where he joined in Fall 2020. His research focuses on geometric analysis and mathematical relativity, particularly investigating conjectures in general relativity and black hole formation using techniques from differential geometry and partial differential equations. He has held postdoctoral fellowships at Harvard University, the University of Toronto, the University of Alberta, and Memorial University, where he earned his Ph.D. in Mathematics in 2015. His education includes: Ph.D. in Mathematics, Memorial University, 2015 PIMS Postdoctoral Fellow, University of Alberta, 2015-2017 NSE Postdoctoral Fellow, University of Toronto, 2017-2018 Postdoctoral Fellow, Harvard University, 2018-2019 Research Interests: Professor Alaee’s work centers on geometric inequalities involving black hole properties (e.g., mass, angular momentum, charge) and quasi-local energy. He has contributed to foundational results in geometric analysis, such as stability proofs for the positive mass theorem and the development of novel quasi-local mass concepts. His studies often bridge differential geometry with physical principles in general relativity. Key trends in his publications (2014–2025) include: Advancements in quasi-local mass definitions and their applications to black hole physics Exploration of geometric inequalities in higher-dimensional spacetimes Analysis of stability and rigidity in relativistic initial data sets Advising & Grants: No advisees or grant details are listed in the provided texts. Laboratory affiliations or team collaborations are not explicitly mentioned.

Shaheen KanthawalaView profile

Assistant Professor

• Health Communication
• Digital Health Technologies
• Media Effects
• +4 more

Dr. Shaheen Kanthawala is an Assistant Professor in the Department of Journalism & Creative Media at the University of Alabama. Her research focuses on health communication technologies, platform governance, and the role of social media influencers. She examines how health-related technologies like apps and online communities affect self-management of health conditions, and investigates platform governance mechanisms and their societal impacts. Education: Ph.D. in Journalism, Michigan State University (2019) M.A. in Journalism, Michigan State University (2015) M.A. in Mass Communication, Michigan State University (2012) B.Sc. in Mass Communication, University of Mumbai (2009) Her research interests span health technologies (e.g., mHealth apps), media effects, social media dynamics, content creator ecosystems, and platform governance policies. Recent work explores algorithmic conspirituality on TikTok and the governance of misinformation on platforms like WhatsApp in India. Teaching focuses include media effects, ethics in media, and emerging media technologies through courses like JCM 372 (Media Effects) and CIS 683 (Media and Technology). Research Trends: Her articles analyze algorithmic influences on belief systems, crisis communication during pandemics, and digital divides in technology adoption among older adults. Work consistently bridges health communication with platform studies. Awards: None explicitly listed. Grants & Labs: No specific grants or labs mentioned in the text.

Carina Ann WaskoView profile

Associate Professor

• General Dermatology
• Skin Cancer Screening
• Cutaneous Manifestations of Systemic Disease
• +3 more

Carina Ann Wasko is an Associate Professor and Medical Director of Dermatology at Baylor College of Medicine in Houston, Texas. She specializes in general medical dermatology, skin cancer screening, and the cutaneous manifestations of systemic diseases. Her clinical focus includes compassionate, comprehensive care for common skin conditions and preventive skin health strategies. Education: MD from Pennsylvania State University College of Medicine (2003) Internship: University of California - San Diego Medical Center (2004) Internal Medicine Fellowship: Baylor College of Medicine (2007) Professional Expertise: Dr. Wasko emphasizes patient education and long-term skin health optimization. She is board-certified in dermatology and has particular expertise in psoriasis management and ultraviolet light therapy. Her clinical practice integrates both diagnostic and preventive approaches to dermatologic care. Awards/Grants: No specific awards or grants listed in the provided text. Labs/Teams: No affiliated research labs or teams explicitly mentioned.

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +3 more

Rob van der Goot is an Associate Professor in Data Science at the IT University of Copenhagen. His affiliations include the NLPnorth group and the Pattern Recognition Revisited lab . His research focuses on Natural Language Processing (NLP), with emphasis on language modeling, lexical normalization, and computational job market analysis. Key contributions include the development of the EEVEE annotation tool, studies on language model biases, and cross-lingual parsing techniques. He has received prestigious awards such as the Best Paper Award at W-NUT 2022 and the Outstanding Paper Award at EACL 2021 . His work spans projects like the Pioneer Centre for Artificial Intelligence (funded by the Danish National Research Foundation) and Multi-Task Sequence Labeling Under Adverse Conditions (funded by Amazon). His research also intersects with societal impacts, addressing bias in AI systems and improving NLP tools for under-resourced languages. Media engagements include discussions on AI adoption in Danish municipalities and business applications. His publications (48+) span topics from domain adaptation to large language model evaluation, emphasizing practical NLP solutions and reproducible research practices.

Amy M. DosseyView profile

Assistant Professor

• Pediatric Cardiology
• Congenital Heart Disease
• Cardiac Catheterization
• +3 more

Amy M. Dossey, M.D., is an Assistant Professor in the Department of Pediatrics — Division of Cardiology at the University of Arkansas for Medical Sciences (UAMS). She specializes in interventional cardiology procedures in the Cardiac Catheterization Laboratory at Arkansas Children’s Hospital. Her clinical expertise includes congenital heart disease management, with a focus on transcatheter interventions. Dr. Dossey’s research evaluates outcomes of congenital heart disease treatments, particularly post-surgical and catheter-based procedures. She completed her medical training at UAMS, including medical school, residency, and a fellowship in pediatric cardiology at The Children’s Hospital of Colorado. Professional certifications include American Board of Pediatrics — General Pediatrics. She is affiliated with the American Academy of Pediatrics and Society for Cardiovascular Angiography and Interventions. Her clinical practice involves treating conditions such as congenital heart defects, congestive heart failure, and valvular heart disease. Procedures she performs include balloon valvuloplasty, cardiac catheterization, and thoracic aortic stenting. Dr. Dossey’s work emphasizes improving patient outcomes through advanced interventional techniques and postoperative management strategies. No scientific awards were explicitly mentioned in the text. Her research contributions span proteomic analysis in post-surgical patients, antibody-mediated rejection in heart transplants, and optimizing pharmacological interventions for postoperative complications.

Gideon HendersonView profile

Professor

• Isotope Geochemistry
• Paleoclimatology
• Climate Change Studies
• +3 more

Gideon Henderson is a Professor of Earth Sciences at University College. He currently works part-time (80%) as Chief Scientific Advisor and Director General for Science and Analysis at the UK Government Department (Defra). His research focuses on using isotopic and geochemical proxies to reconstruct past environmental conditions, including climate variability, ocean chemistry changes, and human-environment interactions. Key areas include speleothem studies, trace metal cycling in oceans, and carbon sequestration via enhanced rock weathering. Education details are not explicitly provided in the text. His work spans multiple disciplines, integrating field data with numerical modeling through tools like the CaveCalc speleothem chemistry model and contributions to the 230Th global database. He has collaborated on large-scale oceanographic programs such as GEOTRACES, studying processes like riverine inputs, hydrothermal vent effects, and anthropogenic radionuclide sources in the Baltic Sea. Research interests emphasize isotopic tracers for paleoenvironmental reconstructions, particularly in arid and permafrost regions. He investigates how climate changes impact ecosystems and human societies, as seen in his studies of Maya civilization collapse linked to droughts and mid-Holocene Sahara rainfall dynamics. His recent work explores CO2 removal potential in UK agricultural soils and the role of tropical plumes in climate systems. No scientific awards are mentioned in the provided texts. His advisory roles include guiding Defra's environmental policies while maintaining academic engagement through collaborative research projects and laboratory-based experiments on mineral dissolution in soils.

Mohamed Ali BelabbasView profile

Associate Professor

• Control Systems
• Optimization
• Gossip Networks
• +3 more

Mohamed Ali Belabbas is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, with additional affiliations to the Coordinated Science Lab. His research focuses on theoretical and applied aspects of control systems, optimization, and network dynamics. Dr. Belabbas's work spans control theory, stochastic optimization, and gossip networks. Key areas include: Super-linearization techniques for polynomial systems Gossip algorithms for information dissemination and synchronization Geometric methods for stability and feedback control Age-of-information optimization in networked systems Analysis of his recent publications (2023–2025) reveals a strong emphasis on theoretical foundations of distributed control, graphons, and optimization. Trends include the application of control-theoretic principles to machine learning and cryptography. No awards, grants, or student advisees are explicitly documented in the provided text. He conducts research at the Coordinated Science Lab, an interdisciplinary center focusing on complex systems and computing.

Will RowanView profile

Researcher

• 3D Computer Vision
• 3D Reconstruction
• Statistical Shape Modelling
• +3 more

Will Rowan is a Researcher and Associate Staff member at the University of York's Department of Computer Science. His work focuses on advancing 3D computer vision, particularly in areas like face reconstruction and synthetic media detection. He holds a PhD (2020-2023), MSc (2020), and BEng (2019) in Computer Science from the University of York. Research Interests include: 3D Reconstruction Techniques Statistical Shape Modelling Self-Supervised Learning Computational Fairness in AI Deepfake Detection Key Projects: Developed the 'Intelligent Face Agent' during PhD Explored temporal dependencies in deepfake detection Awards: EPSRC DTP Scholarship (2020-2023) BCS Highest Marked Dissertation Award (2019) IBM Undergraduate Scholarship (2016) Recent articles emphasize novel approaches in 3D face modeling, text-to-3D generation, and deepfake analysis, reflecting his expertise in both theoretical and applied computer vision.

Fabio CozmanView profile

Professor

• Artificial Intelligence
• Machine Learning
• Probabilistic Reasoning
• +7 more

Fabio Cozman is a Full Professor at the School of Engineering, University of São Paulo (USP), and Director of the Center for Artificial Intelligence at USP. He holds a PhD from Carnegie Mellon University (1996) and completed his engineering degree at Poli-USP. His research spans artificial intelligence, machine learning, and probabilistic reasoning, with significant contributions to knowledge representation under uncertainty, credal networks, and physics-informed AI. Current research focuses on AI interpretability , AI and societal impact , and ocean hazard prediction . Key publications cover probabilistic logic programming , credal networks , and Bayesian network extensions . He is a founding member and former president of the Society for Imprecise Probability Theory and Applications (SIPTA) and has served as Associate Editor for multiple AI journals. His work integrates theoretical advancements in probabilistic modeling with practical applications in robotics, computer vision, and environmental systems, particularly focused on the Brazilian maritime territory through projects like the Blue Amazon Brain (BLAB) architecture.