Find Academic Supervisors

• Decision Support Systems
• Health Informatics
• Knowledge Management
• +3 more

Frada Burstein is an Adjunct Professor at Monash University's Department of Human Centred Computing, affiliated with the Caulfield School of IT. She holds a PhD in Decision Support Systems and has over 30 years of academic experience, specializing in decision theory, healthcare informatics, and knowledge management. She is Director of the Knowledge Management Research Program and leads a laboratory focused on improving clinical decision support and patient-centered care. Education: Doctor of Philosophy (Decision Support Systems), RAS Center for Theoretical Problems of Physicochemical Pharmacology (1984) Master of Science (Applied Mathematics), Tbilisi State University (1978) Graduate Diploma (Graphic Arts), Tbilisi State University (1978) Research Interests: Her work focuses on decision support systems for healthcare, improving user experience across devices, and knowledge management in multidisciplinary contexts. Key projects include developing clinical decision support tools for reducing unnecessary medical tests and creating digital platforms for patient-centered care. She has secured over $3M in grants, including ARC Linkage projects with IBM and the Bureau of Meteorology. Awards: ICT Educator of the Year (2013) Monash Postgraduate Supervisor of the Year (2003) IFIP Outstanding Service Award (2020) AIS Distinguished Member (2019) Grants & Projects: Current roles include co-investigator on projects like 'Nudge CDSS' for clinician decision-making and 'Improving Patient-centered Care through Digital Change.' She has supervised 28 PhD and 13 MRes students, with five ongoing doctoral co-supervisions. Labs & Teams: Leads the Knowledge Management Research Program and collaborates with industry partners on health informatics and emergency management systems.

• Wound Care
• Community Health
• Public Health
• +3 more

Janice Christie is a Senior Lecturer in Nursing affiliated with the Division of Nursing, Midwifery and Social Work. Her research focuses on wound care, community/public health, and methodological approaches including mixed methods and Cochrane systematic reviews. She contributes to the 'Infection, immunity, inflammation and repair' and 'Population health and ecosystems' research themes at the faculty level. Teaching spans undergraduate and postgraduate programs in research methodologies and leadership/management. Christie leads the Digital Health and Social Care Research Group (DHSCRG), exploring healthcare costs, home care optimization, and pandemic response strategies. She has supervised 2 student works and contributed datasets on wound care evidence mapping. Her work aligns with UN Sustainable Development Goals related to health equity and planetary protection. Education: PhD, PgDip, PgCert, MA, BSc (RN, RSCPHN) Methodologies: Mixed methods, systematic reviews, psychometric testing Research emphasizes translating evidence into clinical practice through collaborative projects. Over 14 peer-reviewed publications address topics ranging from burn treatment to corporate social responsibility in healthcare education.

Saul GeiserView profile

Researcher

• University Admissions
• Racial Equity
• Standardized Testing
• +3 more

Saul Geiser is a Researcher at the Center for Studies in Higher Education at the University of California, Berkeley. He holds a Ph.D. in sociology from UC Berkeley and has extensive experience in admissions research, serving as director of admissions research for the UC system after the 1996 ban on affirmative action in California. His work focuses on equity, validity, and policy in college admissions, particularly addressing issues of standardized testing and race-blind criteria. Geiser’s research has significantly influenced UC admissions policies, including the development of the Eligibility in the Local Context policy (top 9% guarantee) and the 2020 decision to phase out SAT/ACT requirements. His studies highlight the growing correlation between race and SAT scores, advocating for criterion-referenced eligibility standards to expand access for underrepresented groups. Education: Ph.D. in Sociology, UC Berkeley Key Contributions: Phased elimination of SAT/ACT in UC admissions Advocacy for holistic review systems Development of the 9% local context policy His publications critique the role of standardized testing in perpetuating inequities while proposing evidence-based alternatives to ensure valid and equitable admissions criteria.

• Education Policy
• Equity in Education
• Research Methods
• +3 more

Professor Stephen Gorard is a leading academic in education and public policy at Durham University, serving as Director of the Durham University Evidence Centre for Education (DECE) and holding a Professorship in the School of Education. He is also a Fellow of the Wolfson Research Institute for Health and Wellbeing and has held senior roles at Cardiff, York, and Birmingham universities. His work focuses on equitable and effective education evaluation, with over £20 million in external funding and extensive advisory roles in government and international bodies. Education: Bachelor's in Psychology with Statistics (University College London) PGCE in Mathematics and Computing (University of London Institute of Education) Masters in Education Management (Cardiff University) PhD in Social Sciences (Cardiff University) Research Interests: Equity and effectiveness in lifelong education, robust research methods, evidence-based policy, and addressing educational disadvantage through interventions like contextual admissions and Pupil Premium analysis. His work bridges theory and practice, emphasizing rigorous methodologies and policy impact. Publications & Awards: Over 1,000 books and papers, including landmark studies like Creating a Learning Society . Recognized with awards such as the Emerald Literati Prize and Society of Educational Studies Book Prize. His 2018 article on grammar schools remains the most downloaded in its journal. Grants & Advisory Roles: Advisor to UK government departments, the EU Horizon 2020 program, and international agencies. Led projects on teacher shortages, educational equity, and systemic reforms. His grants include funding from ESRC, British Academy, and international bodies like Kazakhstan's National Center for Science. Labs/Teams: Director of DECE, a hub for evidence-based education policy research. Collaborates globally on projects like the International Approach to Developing Early Career Researchers .

Michael HeiselView profile

Lecturer

• Fluid Mechanics
• Environmental Engineering
• Geophysical Fluid Dynamics
• +3 more

Dr. Michael Heisel is a Lecturer and Director of Outreach in the School of Civil Engineering at The University of Sydney. He holds a PhD in Civil Engineering from the University of Minnesota (2020) with a minor in Aerospace Engineering, and previously worked as a postdoctoral fellow at UCLA. His research focuses on fluid mechanics in environmental and geophysical contexts, particularly boundary layer turbulence and its modeling applications. He teaches CIVL5670 (Reservoir, Stream and Coastal Engineering) and leads outreach initiatives to engage high school students in civil engineering. He serves as an associate editor for ARC Geophysical Research , advocating for open-access publishing. His research combines experimental methods (e.g., particle image velocimetry) and computational simulations (e.g., large-eddy modeling) to study turbulence dynamics in atmospheric and aquatic systems. Research interests include the structure of turbulent boundary layers in the atmosphere, oceans, and rivers; stochastic modeling of velocity profiles; and the impact of turbulence on environmental processes like dust transport and snow particle behavior. His work bridges fundamental fluid dynamics with practical applications in climate modeling, wind energy, and infrastructure design. Current research students are investigating atmospheric boundary layer structures, reactive particle effects on convection, and forest canopy wind dynamics. Michael has collaborated on predictive models for fluvial bedforms and hydrokinetic turbine scour, demonstrating his interdisciplinary approach to civil and environmental challenges.

Raman AdaikkalavanView profile

Professor

• Information Security (IoT, Android)
• Data Streaming
• Computer Science Education
• +3 more

Dr. Raman Adaikkalavan is a Professor in the Department of Computer and Information Sciences at Indiana University South Bend (IUSB), and serves as Associate Vice Chancellor for Enrollment Management. He holds a Ph.D. in Computer Science and Engineering from the University of Texas at Arlington (2006), and has extensive academic leadership experience. His research focuses on information security (particularly IoT and Android), data streaming, and computer science education. Notable contributions include developing the IU Test web-based assessment tool and advancing secure data stream processing architectures. Education: B.E. (1999) from Bharathidasan University, M.S. and Ph.D. (2002/2006) from University of Texas at Arlington, with additional certificates in online teaching (2013). Research emphasizes practical applications like secure stream processing in cloud environments and improving pedagogical methods through active learning. His work has been supported by NSF grants and institutional funding. Awards include the IU Trustees' Teaching Award (2011) and recognition as a University Scholar (UT Arlington). He advises students on topics like secure data stream processing and software engineering. Collaborations include projects with Dr. Indrakshi Ray (Colorado State) and Dr. Sharma Chakravarthy (UT Arlington). His IU Test system aids in program assessment and accreditation reporting for ABET.

Aftab AhmadView profile

Professor

• Machine Learning
• Cyber Security
• Public Health Prediction
• +5 more

Aftab Ahmad is a Professor in the Department of Computer Science at the City University of New York (CUNY), specializing in cybersecurity and machine learning applications. He holds a Doctor of Science from George Washington University. His research focuses on developing machine learning algorithms for cyber threat intelligence (CTI) and public health prediction, along with designing secure generative deep learning models resistant to reverse-engineering. Key research areas include: Cybersecurity frameworks and privacy-preserving architectures Generative adversarial networks (GANs) with embedded security features Biomedical signal analysis and human body channel modeling Secure wireless protocols for critical infrastructure His publication trends emphasize: Privacy metrics and data protection mechanisms Smart grid and IoT security Neuroscience-inspired machine learning models Wireless network vulnerability assessments No scientific awards or grants were explicitly mentioned in the provided texts. He teaches advanced courses in computer security and network forensics at undergraduate and graduate levels. No advising relationships or lab affiliations were detailed in the available information.

Aaron RichmondView profile

Professor

• Educational Psychology
• STEM Education
• Higher Education Pedagogy
• +4 more

Aaron Richmond serves as Associate Director of the Center for Advanced STEM Education and Professor of Psychological Sciences at Metropolitan State University of Denver. He holds editorial roles at journals like Teaching of Psychology and Journal of Educational Psychology . With a Ph.D. in Educational Psychology from the University of Nevada-Reno (2006), he focuses on pedagogical strategies in STEM and higher education, including cognitive processes, instructional effectiveness, and multicultural teaching. His research explores teaching competencies, metacognition, and online learning dynamics. Notable awards include the Jane S. Halonen Award for Excellence in Teaching and leadership roles in professional organizations like the Society for Teaching of Psychology. Richmond has authored over 70 peer-reviewed publications and actively promotes evidence-based teaching methods through frameworks like the 'model teacher' criteria. Key areas of impact include: Development of learner-centered syllabi Evaluation of feedback modalities in online education Global alignment of psychology education standards Advocacy for STEM teacher preparation His work bridges cognitive science and practical pedagogy, emphasizing student engagement and workforce readiness in 21st-century education.

Trent GauglerView profile

Associate Professor

• Applied Statistics
• Computational Statistics
• Interdisciplinary Research
• +3 more

Trent Gaugler is an Associate Professor of Mathematics at Lafayette College, specializing in applied and computational statistics. He emphasizes collaborative research across disciplines and integrates simulation-based methods into his teaching. His work focuses on leveraging computational tools to address complex data analysis challenges. Gaugler holds a Ph.D. from Pennsylvania State University and a B.S. from Bucknell University. Education: Ph.D., Mathematics, Pennsylvania State University B.S., Mathematics, Bucknell University Research Interests: Gaugler’s work bridges statistical theory and real-world applications, particularly in interdisciplinary collaborations. He develops computational methods to analyze complex data sets, emphasizing practical solutions for fields like health sciences, environmental studies, and social sciences. His teaching philosophy emphasizes hands-on learning with real-world data, fostering student confidence and analytical skills. Recent Research Trends: His articles reflect a focus on interdisciplinary applications of statistics, including health outcomes, community response to environmental factors (e.g., noise pollution), and generational workforce dynamics. He frequently employs randomized controlled trials and longitudinal studies to assess interventions and social phenomena. Community Engagement: Gaugler collaborates with local nonprofits like the United Way and Easton Area Neighborhood Center, applying statistical methods to address community challenges such as education equity and health disparities. He mentors students in applied projects, enhancing their practical research skills. Labs/Teams: His collaborations span Lafayette College’s departments and external organizations, highlighting his commitment to bridging academic expertise with real-world impact.

Yingfu LiView profile

Professor

• Functional Nucleic Acids
• Molecular Diagnostics
• Biosensors
• +3 more

Dr. Yingfu Li is a Professor at the McMaster School of Biomedical Engineering, leading a research group focused on functional nucleic acids (FNAs), including DNAzymes and aptamers. His work spans diagnostics for pathogens (e.g., SARS-CoV-2, Clostridium difficile ), biosensor development, and applications in healthcare and environmental monitoring. Research Interests: Molecular diagnostics, aptamer engineering, RNA-cleaving DNAzymes, and biosensor technologies. Key Projects: Development of point-of-care tests for infectious diseases, including SARS-CoV-2 variants and foodborne pathogens like Salmonella . Collaborations: Partnered with institutions like the Soleymani Lab and companies like Zentek Ltd. for translational research. Lab Dynamics: Maintains a collaborative, interdisciplinary team with a focus on innovation and mentorship, as highlighted in lab retreats and student testimonials. Publications emphasize high-impact applications in biosensing, including electrochemical and colorimetric platforms, with recent work addressing viral variant detection and nanomaterial integration.

Juha PyrhönenView profile

Professor

• Electric Machines
• Motor Design
• High-Speed Motors
• +7 more

Juha Pyrhönen serves as Professor of Electrical Engineering at the School of Energy Systems, Lappeenranta-Lahti University of Technology (LUT University) in Lappeenranta, Finland. His research focuses on advanced electric machine design for high-performance applications, with particular expertise in traction motors, synchronous reluctance machines, and thermal management systems. Contact information includes email Juha.Pyrhonen@lut.fi and phone +358 40 571 1645. Professor Pyrhönen's research spans critical areas in electric machine development including high-speed motor design for aerospace and automotive applications, mitigation of parasitic effects like bearing currents, and innovative cooling techniques such as direct liquid cooling. His work addresses electromagnetic design challenges in drum-winding machines, variable reluctance resolvers for position sensing, and material selection for rotors operating under extreme conditions. Recent investigations examine agricultural tractor electrification and compact energy conversion systems for onboard machinery. Analysis of his 2025 publications reveals strong emphasis on improving power density through multidisciplinary approaches that integrate electromagnetic, thermal, and mechanical considerations. Key trends include advanced bearing current mitigation strategies, optimization of axially-laminated rotors, and precision measurement techniques under magnetic saturation. His research consistently targets sustainable solutions for electric propulsion across transportation sectors. No scientific awards were documented in the provided information. Details regarding student supervision, research grants, or collaborative projects were not specified in the available materials. The absence of such information suggests either non-disclosure in the source materials or potential focus on independent research activities. While specific laboratory facilities weren't mentioned, his research scope implies access to advanced testing infrastructure for high-speed machinery, electromagnetic characterization equipment, and thermal validation systems at LUT University's energy research facilities.

• Information Theory
• Active Learning
• Decentralized Learning
• +4 more

Tara Javidi holds the Jerzy (George) Lewak Endowed Chair and is a Professor in the Department of Electrical and Computer Engineering and Halicioglu Data Science at the University of California San Diego (UCSD). She leads multiple initiatives, including serving as Founding CTO of KavAI, Co-Director of the Center for Machine Intelligence, Computing and Security, and Co-Principal Investigator (CoPI) of the NSF AI Institute TILOS. Her research focuses on stochastic analysis, design, and control of information systems, emphasizing active learning, decentralized optimization, and wireless networks. Key areas include information acquisition/utilization, stochastic control, and AI-driven communication solutions. Her work bridges theoretical foundations and practical implementations, such as drone systems for information gathering (via detecdrone.ucsd.edu) and optical data center networking. Notable contributions include end-to-end scheduling for all-optical data centers and hybrid wireless-optical architectures. Javidi is an IEEE Fellow and has received significant grants, including leading UCSD’s Schmidt AI in Science Postdoctoral Fellowship program. She actively collaborates with industry and academia, with a focus on next-generation wireless networks and decentralized systems. Education: Ph.D. in Electrical Engineering (implied from title). Affiliations: IEEE Journal of Selected Areas in Information Theory (Editor-in-Chief), CALIT2, CNS, and TILOS. Grants: NSF AI Institute TILOS ($20M over 5 years), Schmidt AI Fellowship program. Her research group emphasizes both theoretical rigor (e.g., sequential hypothesis testing) and practical testing, with applications in service drones, cognitive networks, and federated learning. Recent articles highlight advancements in optical networking, secure communication, and distributed learning protocols. Awards: IEEE Fellow, Jerzy Lewak Chair. Labs/Teams: Center for Machine Intelligence, TILOS Institute, KavAI, and UCSD’s AI in Science initiatives.

Kai-Min ChungView profile

Research Fellow

• Quantum Cryptography
• Complexity Theory
• Pseudorandomness
• +3 more

Kai-Min Chung is a Distinguished Research Fellow at the Institute of Information Science (IIS), Academia Sinica, Taiwan. His research focuses on quantum cryptography, complexity theory, and pseudorandomness. Prior to this role, he completed a postdoctoral fellowship at Cornell University (supported by the Simons Foundation) and earned his Ph.D. in computer science from Harvard University under Salil Vadhan. Education Ph.D. in Computer Science, Harvard University (Advisor: Salil Vadhan) Postdoctoral Researcher, Cornell University Research Interests Chung's work bridges quantum computing and cryptography, addressing challenges in secure communication, post-quantum cryptography, and complexity-theoretic foundations. His contributions include groundbreaking results on quantum-resistant protocols, zero-knowledge proofs, and cryptographic primitives resilient to quantum adversaries. Recent research emphasizes the theoretical limits of quantum algorithms and their implications for cryptographic security. Professional Activities Program Committee Chair: Asiacrypt 2024, ITC 2023 Membership on committees for CRYPTO, EUROCRYPT, STOC, FOCS, and others Awards Best Student Paper Award at TCC 2010 Distinguished Paper Award at PLDI 2023 Simons Postdoctoral Fellowship Teaching & Mentoring Chung teaches advanced courses on modern cryptography and advises students in theoretical computer science. He actively recruits postdoctoral researchers and students to his lab, focusing on cutting-edge quantum and classical cryptographic systems.

• Public Health
• Adolescent Health
• HIV Prevention
• +7 more

Susan Davies is an Adjunct Professor in the Department of Health Behavior at the University of Alabama at Birmingham (UAB) School of Public Health. She has held multiple roles, including Professor and Associate Professor at UAB, and has been affiliated with departments such as the Civitan International Research Center and the Nutrition Obesity Research Center (NORC). Her research focuses on public health, adolescent health, HIV prevention, and health disparities. She holds a PhD in Public Health Education from UAB (1997), an M.Ed. in Health Education from George Mason University (1989), and a B.S. in Health and Physical Education from Florida State University (1985). Her research interests include adolescent sexual health, bullying and violence prevention, caregiver communication in pediatric oncology, and interventions targeting marginalized populations such as young African American breast cancer survivors and individuals living with HIV. She has led or contributed to numerous grants funded by the CDC, NIH, and other organizations, including the CHEER Center for the Study of Community Health and interventions targeting CMV prevention in pregnancy and soil-transmitted helminth infections. Dr. Davies has supervised multiple graduate students and taught courses such as Community Assessment, Doctoral Dissertation Research, and Internship Programs. Her work often emphasizes improving healthcare access, reducing disparities, and developing culturally competent interventions. She has been recognized for her contributions to community health and behavioral interventions, though no specific awards are explicitly listed in the provided materials.

Arnaldo Delli CarriView profile

Associate Professor

• Nonlinear Dynamics
• Finite Element Analysis
• Nonlinear Vibration Analysis
• +3 more

Arnaldo Delli Carri is an Associate Professor at the CEES School of Engineering, serving as Curriculum Lead and actively involved in academic leadership. His research focuses on Nonlinear Dynamics and Finite Element Analysis, with expertise in structural analysis, modal testing, and vibration dynamics. He is currently accepting PhD students in areas like Nonlinear Vibration Analysis and FE model validation. Research interests include advanced topics such as nonlinear system identification, model upgrading, and machine learning applications in structural performance prediction. Notable projects involve analyzing planetary gearboxes, 3D printing opportunities in Africa, and laser vibrometer-based nonlinear detection. His work integrates experimental and computational methods to address challenges in mechanical systems and biomedical engineering. Collaborations span international partnerships, focusing on structural dynamics and nonlinear systems. His contributions include over 17 publications since 2011, with a focus on vibration analysis, finite element validation, and additive manufacturing applications. He currently supervises PhD candidates exploring nonlinear dynamics and FE formulations.