Find Academic Supervisors

Markos AnastasopoulosView profile

Associate Professor

• Optical Communications
• Wireless Networks
• Mobile Computing
• +3 more

Markos Anastasopoulos is Associate Professor at the National and Kapodistrian University of Athens, specializing in optical/wireless networks and mobile computing. His research focuses on 5G/6G network convergence, intent-based management, and AI-driven optimization for telecommunications. Recent publications address THz-optical integration, federated learning in transport networks, and semantic-aware radio systems. Applied work includes intelligent asset management for railways and techno-economic analyses of network deployments. Recognized with best dissertation and best paper awards, his research bridges theoretical networking with industrial applications in transportation and cloud infrastructure.

Brennan R. PayneView profile

Associate Professor

• Cognitive and Brain Aging
• Sentence Processing
• Semantic Memory
• +7 more

Brennan R. Payne is an Associate Professor in the Department of Psychology at the University of Utah, specializing in Cognitive and Neural Science (CNS). He leads the LaMA Lab, focusing on interdisciplinary research that integrates cognitive neuroscience, gerontology, linguistics, and quantitative psychology. PhD, University of Illinois (2014) MS, University of Illinois (2012) BA, SUNY Oswego (2009) Payne's research investigates language and memory systems across the adult lifespan, examining how attentional control modulates these systems and their functional organization in the human brain. His lab employs a multi-method approach combining: Cognitive electrophysiology (ERPs, TMS-EEG) Physiological measurements (pupillometry) Eye-tracking and behavioral experiments Advanced statistical modeling techniques Recent publications highlight trends in semantic prediction mechanisms, noise-induced cognitive load, and temporal dynamics of language processing. Key subfields include neural correlates of memory, age-related cognitive changes, and multimodal integration. Payne mentors undergraduate research assistants, honors thesis students, and human factors certificate candidates. The LaMA Lab offers graduate opportunities in experimental psychology and cognitive neuroscience. Contact: Office 1034 BEHS | Phone: 801-581-5040 | Email: brennan.payne@utah.edu

• Health Economics
• Health Care Value
• Inflammatory Pathophysiology
• +5 more

Dr. Kristine A. Smith is a Clinical Associate Professor in the Department of Otolaryngology – Head and Neck Surgery at the University of Utah. As a board-certified and fellowship-trained Rhinologist, her clinical practice focuses on sinus and nasal diseases, including chronic sinusitis, polyps, skull base tumors, and CSF leaks. She leads multidisciplinary collaborations with neurosurgeons, neuroradiologists, and ENT cancer surgeons to optimize patient outcomes. Education Fellowship: Advanced Rhinology and Skull Base Surgery, University of Utah (2017-2018) Residency: Otolaryngology–Head & Neck Surgery, University of Calgary (including Chief Resident role) Medical Degree: University of Saskatchewan College of Medicine Undergraduate: B.S. in Toxicology, University of Saskatchewan Research Focus Dr. Smith investigates health economics, care optimization, and inflammatory mechanisms in sinus diseases. Her research aims to personalize treatments and improve healthcare value through: Health economics modeling for resource allocation Pathophysiological studies of chronic sinusitis Clinical outcome metrics development Patient-centered care innovation Publication Trends Her recent work (2019-2025) emphasizes cystic fibrosis-related sinusitis, eosinophilic inflammation biomarkers, and health economic analyses. Studies frequently employ multidisciplinary approaches, consensus guidelines, and real-world clinical validation. Key themes include modulator therapy efficacy, diagnostic advancements, and patient-reported outcomes. Clinical & Collaborative Work Dr. Smith coordinates with the Ophthalmology team for minimally invasive orbital surgeries and leads research initiatives within the University of Utah's Otolaryngology network. Her skull base surgery program integrates neuroimaging and pathology expertise for complex tumor management.

• Telecommunications
• Signal Processing
• Wireless Communications
• +4 more

George Alexandropoulos is an Associate Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His research focuses on telecommunications, signal processing, and reconfigurable intelligent surfaces (RIS) for next-generation wireless networks. He has contributed to advancements in integrated sensing and communications (ISAC), 6G technologies, and holographic beamforming. His work includes experimental validation of RIS prototypes, optimization of RIS-assisted systems, and analysis of secure communication strategies. Research interests include RIS hardware design, channel modeling, and applications in IoT, UAV communications, and disaster recovery networks. He explores topics like energy-efficient RIS operation, multi-RIS coordination, and RIS-enabled localization. His studies often address challenges at sub-THz frequencies, mutual coupling effects, and hardware impairments. Publications emphasize practical implementations of RIS in both indoor and outdoor settings, with a focus on real-world performance evaluation. Awards and grants are not explicitly mentioned, but his extensive publication record indicates significant academic contributions. His research often integrates machine learning for RIS configuration and reinforcement learning for resource optimization in dynamic networks.

David BraithwaiteView profile

Associate Professor

• Mathematical Cognition
• Logical Reasoning
• Cognitive Development
• +3 more

David Braithwaite is an Associate Professor at The Florida State University , affiliated with the Department of Psychology . He directs the Queen of the Sciences Lab , focusing on mathematical and logical reasoning, learning, and development through behavioral studies and computational modeling. His research explores key areas including rational number knowledge , mathematical explanations , executive function in math problem-solving , and cross-notation understanding of fractions and decimals . He emphasizes improving educational practices by addressing cognitive processes in arithmetic learning. Recent publications highlight his Unified Model of Arithmetic (UMA) , investigations into individual differences in rational number processing , and analyses of notation affordances across cultures . His work also addresses causally ambiguous statistical language and its impact on research interpretation. Dr. Braithwaite mentors graduate and undergraduate researchers in cognitive development studies and recruits actively for his lab. He previously held postdoctoral positions at Carnegie Mellon University and earned his Ph.D. from Indiana University in 2014.

Malcolm PressView profile

Professor

• Ecology
• Climate Change
• Tropical Rainforest Regeneration
• +3 more

Professor Malcolm Press CBE DL is the Vice-Chancellor of Manchester Metropolitan University, appointed in 2015. His academic career includes roles at the Universities of Birmingham, Sheffield, Manchester, and UCL. As an ecologist, his research focuses on climate change impacts in northern Europe and the Arctic, tropical rainforest regeneration in Malaysian Borneo, and parasitic weeds' effects on African subsistence farming. He serves on the British Council, UCAS, and the Institute for Apprenticeships & Technical Education (IfATE) Board. Previously, he held leadership roles with the British Ecological Society, Royal Botanic Gardens Kew, National Trust, Society of Biology, and WWF-UK. In 2022, he was awarded the CBE for contributions to education. His research interests span ecological dynamics, parasitic plant interactions, and environmental policy. Over 40 publications address topics like Arctic tundra nitrogen cycling, Striga resistance in crops, and tropical forest seedling ecology. His work bridges ecological science with global challenges in conservation and sustainable agriculture. Professional accolades include the CBE (2022), recognition for his leadership and contributions to ecological science. His administrative roles emphasize university governance, international education, and partnerships with governmental and non-profit organizations.

Paul PopView profile

Professor

• Embedded Systems
• Systems Engineering
• Time-Sensitive Networking
• +7 more

Paul Pop is a Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). He holds the position of Professor within the Embedded Systems Engineering group at DTU Compute. His academic journey includes a Ph.D. in Computer Systems from Linköping University, Sweden (2003), followed by roles as an Assistant Professor there before joining DTU in 2006. Dr. Pop's research focuses on systems engineering methodologies for embedded and cyber-physical systems, with emphasis on modeling, analysis, optimization, and real-time guarantees. His work addresses challenges in time-sensitive networking (TSN), automotive systems, industrial automation, and fog computing. Key application areas include safety-critical systems, mixed-criticality architectures, and sustainable industrial IoT solutions aligned with UN SDGs. He leads major research projects such as G3C (Green Computing & Communication Continuum), TRANSACT (Safety-Critical Cyber-Physical Systems), and AgroRobottiFleet (Agricultural Robotics). His contributions span 194 publications in journals/conferences and 31 active/completed projects, emphasizing interdisciplinary collaboration. Dr. Pop advises doctoral students in embedded systems and serves as Principal Investigator on EU-funded initiatives. His technical expertise includes TSN configuration tools (TSNConf), fog computing platforms (FORA), and microfluidic biochip design. He actively contributes to industry standards through IEEE 802.1 TSN working groups and collaborates internationally with institutions like Nordic Innovation and EU Horizon programs.

Philip R.O. PayneView profile

Professor

• Artificial Intelligence in Healthcare
• Biomedical Informatics
• Clinical Decision Support Systems
• +7 more

Philip R.O. Payne holds multiple prestigious roles at Washington University in St. Louis and the BJC Health System. As the Janet and Bernard Becker Professor , he leads the Institute for Informatics, Data Science and Biostatistics (I2DB) . He also serves as Vice Chancellor for Biomedical Informatics and Data Science at WashU Medicine and Chief Health AI Officer for BJC Health System and WashU Medicine. Additionally, he is the founding director of the Center for Health AI , a joint initiative between the two institutions. His academic appointments include professorships in General Internal Medicine and Computer Science and Engineering . Dr. Payne’s research focuses on four key areas: AI-driven biomolecular and clinical phenotype analysis , interventional applications of EHRs and clinical decision support systems , human factors and workflow optimization in healthcare IT , and data sharing and analytics platforms for healthcare systems and research initiatives . His work emphasizes leveraging advanced technologies to enhance healthcare outcomes and operational efficiency, such as developing the M3NetFlow AI model for multi-omic data analysis and the Cumulus federated EHR learning system. In terms of awards, he is an elected fellow of the American College of Medical Informatics (ACMI) American Medical Informatics Association (AMIA) American Institute for Medical and Biological Engineering (AIMBE) International Academy of Health Sciences Informatics (IAHSI) He currently serves as president-elect of AMIA, the leading professional organization in Biomedical and Health Informatics. Dr. Payne’s advising and grants narrative involves leading a research group with over 300 publications and fostering interdisciplinary collaboration. While no formal advisees or grant details are explicitly listed, his entrepreneurial ventures include founding digital health companies and advising health/life sciences organizations and venture capital firms. He emphasizes translating academic innovations into real-world solutions. He is affiliated with key labs/teams like the Institute for Informatics (I2DB) , Center for Health AI , and the Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and Learning (CRITICAL) . These teams focus on AI-driven healthcare solutions, data integration, and clinical informatics advancements.

• Pediatric Respiratory Therapy
• Chronic Respiratory Disease Management
• Long-term Mechanical Ventilation
• +3 more

Mika Nonoyama is an Associate Professor in the Department of Physical Therapy at the University of Ontario Institute of Technology (UOIT), affiliated with the Faculty of Health Sciences. She holds additional roles as a Health Clinician Scientist at The Hospital for Sick Children (SickKids) and a status-only Assistant Professor at the University of Toronto’s Department of Physical Therapy and Rehabilitation Sciences Institute. Her academic credentials include a PhD in Rehabilitation Sciences from the University of Toronto, alongside certifications as a Registered Respiratory Therapist (RRT) and Fellow of the Canadian Society of Respiratory Therapists (FCSRT). Education: PhD, Rehabilitation Sciences Institute, University of Toronto Respiratory Therapy Diploma, The Michener Institute of Education at UHN BSc, Physiology, University of Toronto Research Interests: Dr. Nonoyama’s research focuses on optimizing respiratory care across all age groups, particularly in pediatric respiratory therapy, chronic respiratory disease management, and long-term mechanical ventilation. Her work emphasizes improving disease prevention, effective service delivery models, and healthcare utilization efficiency. Key areas include: Long-term mechanical ventilation transitions and caregiver experiences Innovative pediatric respiratory therapy interventions Respiratory rehabilitation for neuromuscular diseases and COPD Health equity in respiratory practice guidelines Recent Research Trends: Her publications address ventilator-associated complications, telehealth pulmonary rehabilitation, and healthcare economics of home mechanical ventilation. Notable work includes studies on pediatric ventilator-associated pneumonia and caregiver experiences during ventilator transitions. Awards: 2019 Margaret Fitch Award for Best Poster (Ontario Lung Association) 2011–2013 Canadian Thoracic Society Research Fellowship 2015 Ontario Lung Association Meritorious Service Award Grants & Advising: Dr. Nonoyama has secured funding for studies on home mechanical ventilation utilization and caregiver support programs. She collaborates with institutions like SickKids and the University of Toronto, contributing to interprofessional research teams. Her mentorship focuses on respiratory therapy scholarly practices and translational research. Lab/Teams: She leads collaborative projects within the UOIT Faculty of Health Sciences and SickKids Respiratory Therapy Department, emphasizing clinical health evaluative sciences.

Diane SrivastavaView profile

Professor

• Community Ecology
• Biodiversity Conservation
• Ecosystem Function
• +5 more

Dr. Diane Srivastava is a Professor in the Department of Zoology at the University of British Columbia's Faculty of Science, and Director of the Canadian Institute of Ecology and Evolution (CIEE). Her research focuses on community ecology, particularly biodiversity's role in ecosystem functioning and responses to environmental changes. Her work addresses how trophic diversity influences ecosystem processes, the regional species pool's impact on local diversity, habitat effects on species richness, and human-driven changes. She leads the Living Data Project, preserving legacy environmental datasets through collaborations with early-career researchers. Key research areas include tropical ecosystem dynamics, climate change impacts, and functional trait-based community assembly. Recent studies highlight cross-ecosystem interactions (e.g., bromeliad microcosms), predator-prey dynamics under climate variability, and urban biodiversity patterns. Her work spans field experiments and collaborative data science initiatives. Dr. Srivastava’s projects emphasize global ecological challenges, including biodiversity loss mitigation and climate resilience strategies. She actively promotes equitable academic practices, such as triple-blind peer review and inclusive working groups. She directs the CIEE, fostering collaborative research across ecology and evolutionary biology. Her work is supported by UBC’s Biodiversity Research Centre and involves international field sites in tropical regions like Costa Rica and Trinidad.

• Cognitive Psychology
• Neuroscience
• Memory Research
• +3 more

Sage Boettcher is a Career Development Research Fellow in the Department of Experimental Psychology at the University of Oxford and a Stipendiary Lecturer at St Anne's College. She holds affiliations with multiple colleges: St Anne's, Kellogg, and Somerville. Her research focuses on the interplay between memory, attention, and behavior in dynamic environments, leveraging psychophysical methods and non-invasive brain imaging. She investigates how short- and long-term memories guide spatial, temporal, and identity-based behavior through proactive memory use. Boettcher earned her PhD in 2020 from the University of Oxford (supervised by Kia Nobre, Mark Stokes, and Freek van Ede), following a Master’s in Interdisciplinary Neuroscience from Goethe University Frankfurt and a BSc from the University of Delaware. She has held postdoctoral roles, including an EPS Fellowship in Kia Nobre’s Brain and Cognition Lab and a Junior Research Fellowship at Kellogg College. Her research interests span cognitive neuroscience, memory dynamics, and attentional processes. Key themes include how spatiotemporal predictions bias perception and action, and how working memory interacts with sensory input. Recent work emphasizes neural mechanisms underlying attentional template formation and interference shielding. Key Awards: EPS Postdoctoral Fellowship, Junior Research Fellowship at Kellogg College, Career Development Fellowship Labs: Dynamic Cognition Lab (lead), Brain and Cognition Lab (former affiliation) Advocacy: Chair of ECR Committee, member of WIN Ethnic Diversity Working Group Her publications emphasize neural dynamics of memory maintenance, attentional shifting, and prediction-driven behavior. Work bridges theory and application, with implications for understanding robust human behavior in complex environments.

• Computer Modelling and Simulation
• Operations Management
• Supply Chain Management
• +3 more

Dr. Terrence Perera is a Teaching Professor in the Operations Management and Decision Sciences (OMDS) department at the University of Sheffield's Management School. With over 30 years of experience in teaching, research, and consultancy, he specializes in computer modeling/simulation, operations management, and supply chain management. He leads modules such as 'The Intelligent Organisation,' 'Internationalisation Challenge,' and 'Business Intelligence' in undergraduate and MBA programs. His work integrating Qlik into teaching earned him the 2025 Qlik Education Ambassador title, while his Internationalisation Challenge module was shortlisted for a postgraduate employability award by AGCAS. Education: BSc and PhD qualifications. Research Interests: Focus on Industry 4.0 integration, simulation in healthcare (e.g., neonatal unit analysis), supply chain data management, and sustainability initiatives. He has secured five EPSRC grants and managed Knowledge Transfer Partnership projects with firms like BAE Systems and Siemens. Professional Recognition: Recipient of the 2025 Qlik Education Ambassador award and AGCAS shortlist. His consultancy spans sectors including healthcare, manufacturing, and logistics. Teaching & Advising: Supervises student dissertations, develops case studies from industry collaboration. His modules emphasize real-world applications of analytics and modern technologies. Grants & Projects: Five EPSRC grants, multiple KTP projects focused on manufacturing systems and ERP. Collaborations include Sheffield Children’s Hospital and Fosters Bakery.

Orran KriegerView profile

Professor

• Cloud Computing
• Operating Systems
• Virtualization
• +3 more

Orran Krieger is a Professor in the Department of Electrical and Computer Engineering at Boston University. He serves as the Founding Director of the Cloud Computing Initiative (CCI) and Resident Fellow of the Hariri Institute for Computing and Computational Science & Engineering. His work focuses on cloud computing infrastructure, operating systems, and virtualization technologies. Prior roles include leading the Advanced Operating System Research Department at IBM T.J. Watson and contributing to VMware's vCloud initiatives. Education: PhD and MASc in Electrical Engineering from the University of Toronto. Research interests include cloud resource management, unikernel-based systems, security in distributed environments, and performance optimization. His leadership in the Massachusetts Open Cloud project and Open Cloud Testbed (OCT) demonstrates expertise in scalable cloud platforms. Key contributions span innovations in OS design (e.g., EbbRT framework), cloud marketplace architectures, and hardware-as-a-service models. His research bridges theoretical advancements with practical implementations in modern data centers.

Karun AdusumilliView profile

Assistant Professor

• Econometrics
• Causal Inference
• Missing Data
• +6 more

Karun Adusumilli is an Assistant Professor of Economics at the University of Pennsylvania, affiliated with the Department of Economics within the School of Arts and Sciences. He holds a PhD from the London School of Economics (2018), an MSc in Econometrics and Mathematical Economics (2013), and a B.Tech in Engineering Physics from the Indian Institute of Technology, Delhi (2011). His research focuses on advanced econometric methodologies, including causal inference, missing data analysis, dynamic treatment allocation, and reinforcement learning applications in economics. Education: PhD in Economics, LSE (2018) MSc Econometrics and Mathematical Economics, LSE (2013) B.Tech in Engineering Physics, IIT Delhi (2011) Adusumilli’s research interests span Econometrics , Causal Inference , Dynamic Treatment Regimes , and Statistical Learning . He has pioneered work on optimal policy design in bandit experiments, minimax allocation strategies, and addressing unobserved heterogeneity in econometric models. His contributions bridge theoretical econometrics with practical applications in healthcare, education policy, and sequential decision-making frameworks. He has received notable awards, including the Kravis Award for Teaching Excellence (2021) and the John Hicks Prize for his doctoral research (2019). His publications appear in top-tier journals like Econometrica and Review of Economic Studies . Adusumilli teaches graduate and undergraduate courses in econometrics and statistical learning, including Econometrics I and Econometric Machine Learning . He has served on scientific committees for major conferences such as the NBER-NSF Time Series Conference and the AEA-ASSA Annual Meetings .

Young LeeView profile

Senior Lecturer

• Edge Computing
• Blockchain Technology
• Fog Computing
• +3 more

Young Lee is a Senior Lecturer in Computing at Macquarie University, affiliated with the School of Computing and three research centers: Data Horizons Research Centre, Future Communications Research Centre, and Smart Green Cities Research Centre. His research focuses on edge computing, blockchain technology, fog computing, and resource scheduling in distributed systems, with a strong emphasis on applications in IoT, healthcare, and sustainability. He has led or contributed to over 150 research outputs since 2005, including influential works on edge-based video analytics, blockchain frameworks, and cloud-edge resource optimization. Dr. Lee's projects include 'Extreme-Scale Computing for Big Data Analytics' (2016–present) and 'Synergising the Power of the Cloud with the Power of the Crowd' (2016–present), demonstrating expertise in scalable computing and cloud-crowd integration. His work bridges theoretical advancements in scheduling algorithms with practical implementations in energy-efficient data centers and mobile edge environments. Research interests span edge computing architectures, blockchain oracles, and fog caching strategies, with recent contributions to carbon-conscious travel systems and malware detection frameworks. His interdisciplinary approach addresses challenges in resource allocation, network security, and distributed system efficiency.