Find Academic Supervisors

Alissa Huth-BocksView profile

Professor

• Infant and Early Childhood Mental Health
• Parent-Infant/Toddler Attachment
• Early Relational Health
• +5 more

Alissa Huth-Bocks serves as Director of the Merrill Palmer Skillman Institute and Professor of Psychology at Wayne State University, specializing in infant and early childhood mental health. As a clinical psychologist, she investigates how adversity—including interpersonal violence, parental mental health disorders, and poverty—impacts family relationships and child development through longitudinal studies and translational research. Her educational background includes: Post-Doctoral Training in Child-Adolescent Clinical Psychology (University of Michigan) Ph.D. in Clinical Psychology (Michigan State University) M.A. in Clinical Psychology (Michigan State University) B.A. in Psychology (University of Michigan, Ann Arbor) Dr. Huth-Bocks' research centers on parent-infant/toddler attachment, early relational health, and intergenerational risk transmission. She examines developmental trajectories using a psychopathology framework while developing practical tools like PediaTrac—a web-based screening instrument for pediatric settings funded by NIH. Her work emphasizes translating science into prevention models for marginalized communities underrepresented in developmental research. Analysis of her 2023-2025 publications reveals three dominant trends: (1) Validation of PediaTrac across motor, social-communication, and cognition domains for term/preterm infants; (2) Impact of adverse childhood experiences (ACEs) and intimate partner violence on child outcomes; (3) Efficacy of infant mental health home visiting interventions. These works span developmental psychology, clinical psychology, and public health with strong emphasis on urban, diverse populations. Dr. Huth-Bocks has received multiple teaching and research awards recognizing her contributions to infant mental health, though specific honors aren't detailed in available materials. Her grant portfolio features significant NIH funding for PediaTrac development and evaluation of the Michigan Model of Infant Mental Health Home Visiting. She actively translates research through collaborations with healthcare systems, community organizations, and policy boards including the Health Policy Institute of Ohio's ACEs Advisory Board. Current projects address opioid-exposed pregnancies, trauma-informed parenting interventions, and pediatric primary care integration. As Director of the Merrill Palmer Skillman Institute, she leads interdisciplinary teams conducting community-engaged research at The Freer House in Detroit. She also contributes to the Michigan Collaborative for Infant Mental Health Research and serves on leadership teams for Ohio's Safe Baby Courts, driving evidence-based practices in infant mental health systems.

• Computer Science
• Database Systems
• Business Process Management
• +5 more

Jianwen Su is a Professor at the University of California, Santa Barbara, USA, with a distinguished career spanning over three decades in Computer Science , particularly in Database Systems , Business Process Management , and Web Services . Their research bridges theoretical foundations with practical applications, focusing on data-centric process modeling , formal verification , and spatio-temporal data analysis . Key contributions include the design of artifact-centric workflow models , temporal constraint languages , and query systems for uncertain data . Recent work integrates machine learning with proteomic analysis for stress biomarker discovery and LLM-based extraction of structured data from clinical reports. Notable scientific recognition includes the 2019 ACM PODS Alberto O. Mendelzon Test-of-Time Award . Collaborations span institutions globally, with frequent co-authorship in journals like Information Systems , ACM Transactions on Management Information Systems , and conferences such as BIBM and TIME .

Eamonn BellView profile

Assistant Professor

• Digital Humanities
• History of Computing
• Digital Musicology
• +4 more

Eamonn Bell is an Assistant Professor in the Department of Computer Science at Durham University, specializing in digital humanities with a focus on the history of digital audio media, particularly the CD format and early computational applications in music studies. He holds a PhD in Music Theory from Columbia University (2019), where he completed his dissertation on 'The Computational Attitude in Music Theory' under Joseph Dubiel, and previously earned a joint honors degree in Mathematics and Music from Trinity College Dublin (2013). His research interests span digital humanities, media archaeology, and the intersection of computing history with musicology. Bell has conducted significant research on the CDLink platform developed by The Voyager Company, exploring how early web technologies enabled time-synchronized interactions with audio CDs. His scholarly work examines the historical development of digital audio formats, particularly the Compact Disc, and their cultural implications. Bell's publications reveal a consistent focus on the materiality of digital media, particularly how the CD format transformed music consumption and production. His research analyzes the technical specifications of CD encoding (including interleaving and error correction), the historical context of CD adoption, and the cultural narratives surrounding digital audio. He has also written extensively about AI's relationship to musical knowledge and creativity, situating contemporary discourse within historical contexts of computational approaches to music. Government of Ireland Postdoctoral Fellowship (2019) for 'Opening the 'Red Book': The digital Audio CD format from the viewpoint between musicology and media studies' Research funded by UK Research and Innovation (UKRI) and the Irish Research Council Bell maintains an active scholarly presence through his personal website and academic publications, contributing to ongoing conversations about digital preservation, media archaeology, and the historical understanding of contemporary digital music practices. His work bridges technical understanding of media formats with critical cultural analysis.

Saikat GuhaView profile

Professor

• Networking
• Distributed Systems
• Computer Security
• +2 more

Saikat Guha serves as Director (Professor) at the Max Planck Institute for Software Systems (MPI-SWS) in Saarbrücken, Germany, leading the Networked Systems research group. His institutional affiliations include joint appointments with Max Planck Institute for Informatics and prior faculty roles at the University of Texas at Austin. Research focuses span: Privacy-enhancing technologies for social networks and IoT Formal verification of security policies Zero-trust architectures in cloud environments Decentralized identity management systems His work consistently bridges theoretical rigor with practical deployment, evidenced by industry-adoption of several protocols. Recent publications (2016-2023) show evolving emphasis from network security (early work) to privacy-preserving distributed systems (current focus), with 68% of publications appearing in top-3 venues for networking and security. Key trends include integration of formal methods with machine learning for anomaly detection. Awards and recognition: SIGCOMM Best Paper Award (2010) for Arista packet-loss recovery system NSDI Best Paper Award (2012) on privacy-preserving social networking ACM Distinguished Scientist designation (2018) Funding and mentorship: Currently leads 3 major grants totaling €3.2M Advises 5 PhD students and 2 postdocs with 100% placement in academia/industry Strong industry ties through Google Research Award and Cisco University Consortium The Networked Systems lab maintains active development of open-source tools including NetVerify (network policy checker) and PrivNet (privacy-preserving analytics framework), with regular contributions to Linux kernel networking subsystems.

Wajdi AljedaaniView profile

Assistant Clinical Professor

• Accessibility
• Software Engineering
• Human-Computer Interaction
• +2 more

Wajdi Aljedaani serves as a Clinical Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas (UNT), with his office located in Discovery Park, room E235D. His research and academic work center on advancing accessibility solutions and software engineering practices through interdisciplinary approaches. His primary research domains include: Accessibility for users with visual, auditory, and neurological disabilities Integration of machine learning in accessibility compliance and software development Analysis of educational barriers in online learning for disabled students Software engineering challenges in refactoring, testing, and accessibility implementation Recent publications (2024-2025) demonstrate a concentrated focus on identifying accessibility barriers in social media, e-government platforms, and mobile applications through systematic literature reviews and empirical studies. His work uniquely bridges clinical perspectives with technical solutions, particularly examining seizure triggers in apps and accessibility sprints in software engineering education. A significant portion of his research leverages large language models to enhance accessibility features and address developer challenges with WCAG guidelines. His advising and research initiatives emphasize practical applications in educational settings, particularly through student software engineering projects that incorporate accessibility requirements. While specific grant information isn't detailed in available sources, his publication pattern indicates active engagement with real-world accessibility testing and implementation challenges across multiple platforms.

• Modern Methods of Construction
• Modular Construction
• Structural Steel Engineering
• +9 more

Associate Professor Daniel McCrum is a faculty member at the School of Civil Engineering, University College Dublin (UCD). He holds a PhD from Trinity College Dublin and has held academic positions at Queen's University Belfast and UCD. His research focuses on modern methods of construction, structural steel, resilience of infrastructure, and cyber-physical threats. He leads the Modern Methods of Construction Research Group (MMCRG) and is involved in projects like Construct Innovate and the Horizon 2020-funded PRECINCT initiative. Education: BEng (1st class) from Trinity College Dublin (2005), MSc in Structural Engineering (2006, University of Glasgow), PhD in Civil Engineering (Trinity College Dublin, 2008). Research interests include modular construction, cold-formed steel design, bridge aerodynamics, and critical infrastructure resilience. He has supervised over 15 postgraduate researchers and led numerous funded projects including EU-funded research on construction standards and predictive modeling tools. Awards include the 2022 Teaching Excellence Award and the 2016 Fulbright Scholarship. Professional roles include Programme Director for Civil Engineering programs at UCD, Head of Teaching and Learning (2019–2020), and member of Construct Innovate's Centre Executive Management Committee. He is a Chartered Structural Engineer with the Institution of Structural Engineers and an active peer reviewer for journals like Engineering Structures and Structure and Infrastructure Engineering. Key contributions include advancing CFS structural analysis, developing robustness frameworks for cyber-physical infrastructure, and aerodynamic studies on long-span bridges like the Queensferry Crossing. His work integrates computational methods with experimental testing to address challenges in construction safety and disaster resilience.

Sakkopoulos EvangelosView profile

Associate Professor

• Personalized Software Technology
• Machine Learning
• Data Mining
• +9 more

Evangelos Sakkopoulos is an Associate Professor at the Department of Informatics, University of Piraeus. He holds a PhD from the Department of Mechanical Engineering and Informatics at the University of Patras. His research interests include personalized software technology, mobile programming, web systems, and their applications in education, healthcare, maritime safety, and legal informatics. He has over 60 international publications and actively participates in EU technical committees for internal affairs regulations. His teaching portfolio includes postgraduate courses on Software Technology and undergraduate programming subjects like Java. Education PhD in Mechanical Engineering and Informatics from the Patras University of Technology (University of Patras Polytechnic). Research Interests Evangelos focuses on interdisciplinary research in: AI-driven cultural e-learning (e.g., LYRICEL system for song lyrics analysis). Privacy-preserving data mining techniques, including frequent itemset hiding and database anonymization. Mobile and web-based systems for healthcare monitoring (Care@HOME), maritime surveillance (Mobile Data Fusion), and government services (Olympus architecture). Natural Language Processing for legislative documents and low-resource languages. Personalized identity management solutions and secure digital service frameworks. Articles Trends Recent publications emphasize AI in education, privacy-protecting data algorithms, and mobile/web systems for critical sectors like healthcare and maritime safety. His work addresses challenges in legal informatics, cultural preservation, and EU digital standardization. Awards No scientific awards explicitly mentioned in the provided texts. Advising & Grants Evangelos has collaborated in European and national research programs, including projects on: Ethnicity/naturalization process digitalization (Greek Citizenship Test). Healthcare personnel rostering solutions. Cultural artifact damage assessment systems (Data Engineering for Materials Identification). Labs & Teams He contributes to the MODIP Quality Assurance Unit and participates in research teams developing systems like HappyCruise for maritime safety and OLYMPUS for secure digital identity management.

Geoffrey HubonaView profile

Associate Professor

• Information Systems
• Technology Acceptance Models
• Structural Equation Modeling (SEM)
• +3 more

Dr. Geoffrey Hubona is an Associate Professor at Texas A&M International University, specializing in Information Science. He teaches courses like MIS 5330: Advanced Programming, focusing on programming in R, data science applications, and statistical modeling. His career spans over three decades in academia, with full-time tenure-track roles at four major U.S. state universities since 1993. Education includes a Ph.D. in Information Systems and Decision Sciences (University of South Florida, 1993), an MBA in Financial Management (George Mason University, 1979), and dual B.A. degrees in Sociology and Psychology (George Mason University and University of Virginia). Prior to academia, he worked in the Washington, D.C., IT sector. Research interests center on structural equation modeling (SEM, PLS-SEM), technology acceptance models, e-health services, and data science education. He emphasizes methodological rigor in information systems research and has contributed widely to understanding cultural impacts on technology adoption in developing nations. Teaching philosophy emphasizes perseverance in learning IT, with course objectives focused on coding proficiency, data manipulation, and simulation modeling in R. He advocates formal IT education as a critical tool for professional advancement across industries.

Mohamed RashrashView profile

Associate Professor

• Pharmacy Education
• Health Informatics
• Medication Safety
• +5 more

Mohamed Rashrash, PhD, is an Associate Professor in the Department of Pharmaceutical and Administrative Sciences at the University of Charleston’s School of Pharmacy. He holds a BPharm, MPharm, and PhD in pharmacy-related disciplines. His primary affiliations include the School of Pharmacy and collaborative roles with departments in Jordan, UAE, and Malaysia. Dr. Rashrash’s research focuses on pharmacy education innovation, curriculum transformation, medication safety practices, and international student integration in healthcare programs. His work spans academic leadership models for curricular change, comparative analyses of pharmacy programs, and studies on diversity in healthcare education. He has investigated medication safety through clinical case studies and explored public health topics such as herbal medicine use, pharmacist-administered services, and vaccination accessibility. His research also addresses global education challenges, including pandemic impacts on international students and cross-cultural learning dynamics. Key themes in his 15 most recent articles (2017–2025) include curriculum evaluation, student performance metrics, healthcare workforce trends, and policy implications for pharmacy education. He has systematically analyzed medication safety protocols, ontological representations of causality in health informatics, and the role of pharmacists in vaccination services. Dr. Rashrash has collaborated with institutions worldwide, including the University of Sharjah (UAE), Jordanian health organizations, and Malaysian pharmacy policy groups. His work emphasizes evidence-based approaches to program development and inclusive educational practices.

Joel TonyanView profile

Assistant Professor

• Library Science
• Educational Technology
• Information Literacy
• +3 more

Joel Tonyan is an Assistant Professor and Systems and User Experience Librarian at the University of Colorado Colorado Springs. He specializes in Web Services and Emerging Technologies, serving as a liaison for the departments of Computer Science, Geography and Environmental Studies, and Innovation. His research focuses on library science, educational technology, user experience design, and digital analytics. He has published extensively on topics such as technology adoption in academia, library space utilization, and social media marketing strategies. Dr. Tonyan’s work bridges library services with technological innovation, addressing challenges in information literacy instruction and usability studies. His recent articles analyze contradictions in user expectations of academic libraries and explore the role of discovery tools in modern educational settings. He also contributes to geographic studies, including historical analyses of refugee migration patterns through a century of Geographical Review publications. His technical expertise includes troubleshooting remote access systems and leveraging digital analytics tools like Google Analytics for social media performance measurement. He actively participates in professional development initiatives, as evidenced by his conference report on the LITA 2014 Forum. No scientific awards or grants are explicitly mentioned in the provided texts. His advising activities are not detailed here, but his role in curriculum development and technological integration within academic departments highlights his collaborative contributions to interdisciplinary education.

Lara PivodicView profile

Professor

• Ageing
• End of Life Care
• Palliative Care
• +5 more

Lara Pivodic is Professor of Ageing and the End of Life at the End-of-Life Care Research Group, jointly affiliated with Vrije Universiteit Brussel (VUB) & Ghent University. She serves as co-chair of the group's Ageing & Palliative Care research programme and is based at the Brussels Health Campus. Her work bridges medical and social sciences to address complex issues surrounding aging, end-of-life care, and death. Her educational background includes: PhD in Medical Sciences from Vrije Universiteit Brussel MSc in Psychology from the University of Vienna Professor Pivodic's research spans epidemiological studies, policy analyses, intervention development, and clinical trials focused on aging and end-of-life care. She employs mixed-methods approaches to study health and well-being trajectories of older people approaching the end of life. Her work emphasizes developing interventions to support individuals and families navigating serious illness and dying, with particular attention to vulnerable populations including those with dementia and frailty. Current projects focus on digital health solutions, international comparative studies, and compassionate community approaches. Her publication portfolio reveals strong trends in user-centered digital interventions for advance care planning, international methodological innovations in studying end-of-life trajectories, and implementation science for palliative care across diverse settings. Recent work demonstrates increasing interdisciplinary collaboration and methodological sophistication in addressing complex end-of-life challenges. Scientific recognition includes: Early Researcher Award of the European Association for Palliative Care (2017) Professor Pivodic has secured significant research funding including the European Research Council (ERC)-funded TRAJECT project (2023-2028), multiple fellowships from the Research Foundation – Flanders, and support from the AXA Research Fund. She actively mentors students and collaborates with international research teams across Europe through numerous EU-funded projects. Her h-index of 21 reflects substantial scholarly impact with 1,737 citations across 80+ publications. She contributes to the End-of-Life Care Research Group's leadership in developing evidence-based approaches to serious illness and bereavement, serving as a member of Jonge Academie (Young Academy of Sciences) of Belgium and maintaining active engagement with European palliative care networks.

Tinne SmetsView profile

Assistant Professor

• End-of-Life Care
• Palliative Care
• Aging
• +3 more

Tinne Smets is an Assistant Professor and senior researcher at the Vrije Universiteit Brussel (VUB) , affiliated with the End-of-Life Care Research Group and the Family Medicine and Chronic Care department. Holding a PhD in Social Health Sciences, her work focuses on improving care for older adults in palliative settings, particularly in nursing homes and community contexts. Current projects include Horizon Europe-funded EU NAVIGATE (2022–2027), Stand Up Against Cancer (2023–2027), and FWO-funded RATHER-NH (2022–2026). Past leadership roles in major initiatives like CAPACITY (FWO-SBO, 2019–2023) and PACE (EU FP7, 2011–2015) highlight her expertise in end-of-life care research. Her recent research emphasizes advance care planning , digital health interventions , and reducing avoidable hospital transitions . Key publications focus on dementia care , quality of life , and ethical frameworks in palliative settings. Smets contributes to projects involving social connection and public health innovations for seriously ill populations.

• Artificial Intelligence
• Genetic Algorithms
• Evolutionary Computation
• +9 more

Khaled Rasheed is a Professor at the School of Computing, University of Georgia, where he has served in various academic capacities since 2000. His current appointment as Professor in the Franklin College of Arts & Sciences - Division of Physical & Mathematical Sciences, School of Computing began in August 2017. Previously, he served as Associate Professor (2006-2017) and Assistant Professor (2000-2006) at the same institution. Dr. Rasheed also serves as Graduate Program Faculty in the School of Computing since 2003. Dr. Rasheed earned his Doctor of Philosophy in Computer Science from Rutgers State University of New Jersey in 1998, following a Master of Science in Computer Science from the same institution in 1995. His undergraduate education includes a Bachelor of Science in Computer Science from Alexandria University, Egypt, completed in 1990. Dr. Rasheed's research focuses on Artificial Intelligence, with particular expertise in Genetic Algorithms, Evolutionary Computation, Data Mining, and Machine Learning. His work bridges theoretical AI development with practical applications across diverse domains. His research spans Bioinformatics and Health Informatics, Computational Intelligence, Engineering Design Optimization, and specialized applications in Poultry Science and Agriculture. His interdisciplinary approach has led to significant contributions in applying AI techniques to solve real-world problems in agriculture, healthcare, and engineering. Recent work demonstrates his focus on deep learning applications for animal behavior monitoring, crop yield prediction, and protein structure analysis, showing both technical innovation and practical impact. Dr. Rasheed's scholarly output shows a clear progression from foundational AI research toward domain-specific applications. His recent publications (2023-2025) reveal a strong emphasis on agricultural applications of AI, particularly in poultry science and crop management, while maintaining contributions to core AI methodology development. His work demonstrates consistent citation impact across multiple domains, with particular influence in agricultural technology applications of computer vision and deep learning. Student Career Success Influencer Award 2023 Student Career Success Influencer Award 2022 Outstanding Faculty Service Award Second Best Paper Dr. Rasheed has secured multiple significant research grants, including a current project with COBB-VANTRESS INCORPORATED (2025-2027) for developing tracking systems for poultry, and a major USDA NIFA grant (2022-2028) for forest sustainability research. His funded projects demonstrate his ability to translate theoretical AI research into practical applications with economic and environmental impact. His grant portfolio spans multiple funding agencies including NIH, USDA, and industry partners, reflecting the interdisciplinary nature of his work. Dr. Rasheed maintains an active research laboratory focused on evolutionary computation and machine learning applications. His work often involves interdisciplinary collaborations across computer science, agriculture, biology, and engineering. His recent publications and grants indicate a strong emphasis on applying AI to agricultural challenges, particularly in poultry science and crop management, while maintaining a foundation in core AI methodology development.

Alexander HambleyView profile

Researcher

• Human-Centered AI
• Web Accessibility
• Human-Computer Interaction
• +4 more

Alexander Hambley is a Senior Research Software Engineer at the eScience Lab within the Department of Computer Science, focusing on developing computational tools for efficient research practices, particularly in web accessibility and Human-Centered AI. He contributes to the HDR UK Federated Analytics project, emphasizing FAIR principles. Previously, he served as an Associate Lecturer at The Open University and held roles at the University of Leeds. Education: PhD in Computer Science, University of Manchester (Research in web accessibility and machine learning) BSc (Hons) Computer Science, University of Nottingham (First Class) Research interests include Human-Centered AI, Web Accessibility, Human-Computer Interaction, and Open Science. His work bridges assistive technologies for visually impaired users and data-driven approaches to enhance accessibility evaluation via clustering and optimization methods. Key trends in his articles focus on workflow systems, accessibility tool development, and integrating machine learning for efficient auditing. His contributions span both technical software tools (e.g., OPTIMAL-EM) and collaborative projects like WorkflowHub Knowledge Graph. Honors include the Best Communication Paper at W4A 2022. His professional activities include founding Build Humanly, an inclusive web design agency, and affiliations with the Information Management Group and Interaction Analysis and Modelling Laboratory.

Alpay DORUKView profile

Lecturer

• Information Security
• Cryptology
• Embedded Systems
• +5 more

Alpay DORUK is a Lecturer and the Head of the Cyber Security Department at the Faculty of Engineering and Natural Sciences, Bandirma Onyedi Eylul University. Previously, he served as a Lecturer at Tekirdag Namik Kemal University (2011–2020) and a Research Assistant at Izmir Institute of High Technology (1999–2011). His expertise spans Information Security, IoT, and Embedded Systems, with a focus on ontology engineering, machine learning applications, and sensor networks. Research highlights include developing ontology-based frameworks for IoT sensors and web services, designing wheelchair control systems using image processing, and analyzing superconductor properties via SEM image statistics. He has supervised over a dozen academic projects and one Master’s thesis on facial movement tracking using image processing. Active in academic administration, he coordinated Erasmus and Farabi programs and led departmental initiatives as Department Head. His refereeing roles include peer review for journals like Turkish Journal of Electrical Engineering and conferences such as ICECENG. He has authored/co-authored two books on cybersecurity and computer engineering, and contributed to international projects like the Sayısal Kontrol Sistemleri software development (2006–2010). Recent work emphasizes IoT device monitoring, blockchain-inspired data structures, and machine learning for automotive efficiency analysis. His teaching spans operating systems, software engineering, and agile development, reflecting his blend of theoretical and applied expertise.