Find Academic Supervisors

Fadi KaraaView profile

Associate Professor

• Civil Engineering
• Environmental Systems
• Infrastructure Resilience
• +5 more

Fadi Karaa, an Associate Professor in the Department of Civil and Environmental Engineering at New Jersey Institute of Technology , focuses on enterprise and project management systems, infrastructure resilience, and lifecycle management. His interdisciplinary teaching spans courses in performance and risk analysis of infrastructure systems, construction management, and data analytics. He has taught at MIT, Tufts University, Northeastern University, and Notre-Dame University. PhD , Massachusetts Institute of Technology, Civil Engineering (Water Resource Systems) MS , MIT, Management (Finance and MIS) MS , MIT, Civil Engineering Systems Engineer Diploma , Ecole Polytechnique, Paris His research integrates analytical applications for risk modeling, multi-hazard flood protection, and underground infrastructure asset management. Current work explores green infrastructure optimization, predictive modeling, and decision support systems for water and wastewater networks. His publications emphasize risk propagation analysis , project bundling , agent-based modeling , and underground conduit management , with keywords spanning Civil Engineering , Environmental Systems , and Machine Learning . Excellence in Teaching Awards (College of Engineering, NJIT) Arthur T. Ippen Award, MIT Boston Society of Civil Engineers President’s Appreciation Award He has led federally and state-funded projects, including multi-tiered flood protection strategies post-Sandy and decision support systems for the US Army Corps of Engineers. His industry experience includes Vice Presidency at Oracle Corporation, where he developed enterprise solutions for Fortune 100 companies.

Krzysztof BrzostowskiView profile

Professor

• Nonlinear Signal Processing
• Biomedical Signal Processing
• Time-Frequency Signal Representation
• +3 more

Krzysztof Brzostowski, DSc, PhD, Eng. is a Professor at the Wrocław University of Science and Technology, affiliated with the Faculty of Information and Communication Technology. He holds a position in the Department of Computer Science and Systems Engineering, located at ul. Z. Janiszewskiego 11/17, building C-3, room 15. His research focuses on nonlinear signal processing, biomedical signal processing, time-frequency signal representation, sparsity techniques, system identification, and multi-sensor fusion. Brzostowski's work integrates advanced signal processing methodologies with practical applications in biomedical engineering, sensor networks, and data-driven decision systems. He has contributed significantly to noise reduction techniques, real-time signal fusion, and adaptive systems for physical effort planning. His research often bridges theoretical signal analysis with clinical and engineering applications, addressing challenges in electromechanical delay measurement, gait analysis, and medical imaging enhancement. Notable contributions include a monograph on signal processing in data stream fusion (2020) and pioneering studies on MRI denoising, gyroscope signal enhancement, and hybrid reality data sharing protocols. His articles span journals like Biomedical Signal Processing and Control , Applied Intelligence , and conference proceedings in systems engineering and artificial intelligence. Brzostowski's academic service includes office hours on Wednesday, Thursday, Friday, and Saturday mornings, and he maintains active participation in academic conferences and editorial roles. While no specific awards are listed, his extensive publication record reflects sustained excellence in interdisciplinary signal processing research.

Christian WeinertView profile

Lecturer

• Privacy-Preserving Technologies
• Cryptography
• Secure Communication
• +3 more

Christian Weinert is a Lecturer in Information Security at the Department of Information Security, Royal Holloway, University of London. He previously held postdoctoral and doctoral research positions at TU Darmstadt's ENCRYPTO group. His research focuses on privacy-preserving protocols, secure communication, and large-scale data protection. He is a Fellow of the Higher Education Academy (FHEA) and has contributed to ISO/IEC standards through his BSI committee involvement. Education: PhD in Computer Science (TU Darmstadt, 2021), M.Sc. (TU Darmstadt, 2016), B.Sc. (TU Darmstadt, 2013). Research interests include secure long-term archiving, federated learning privacy, and cryptographic protocols. He teaches modules like Advanced Cryptography and Digital Forensics, and leads the Cryptography Group at Royal Holloway. Notable awards include the German IT-Security Award (2020) for ContactGuard, a Runner-up Distinguished Paper Award (IEEE SaTML'24), and a Noteworthy Reviewer Award (USENIX Security 2023). He advises PhD students Sophie Hawkes, Katy Lambert, Tabitha Ogilvie, and Simon Pohmann. His work spans 31 publications, including top-tier venues like USENIX Security, EuroCrypt, and ACM CCS.

• Medical Image Analysis
• Distributed Systems
• Acoustic Location
• +2 more

Kuo-Ming Chao is a Researcher at the Centre for Research in Arts and Creative Exchange within the School of Arts, Humanities, and Social Sciences. His work bridges computational methods and applied research, with focus areas spanning medical imaging systems, distributed computing architectures, acoustic positioning technologies, social network analysis, and multimodal misinformation detection. Chao maintains active involvement in the academic community through sustained editorial contributions and conference participation. Research Focus: His interdisciplinary research integrates computer science with domain-specific applications. Key themes include: Development of orchestrated workflows for medical image analysis systems Multimodal fusion techniques for information verification Acoustic signal processing for location tracking Graph-based algorithms for social network prediction Professional Activities: Peer reviewer for Service-Oriented Computing and Applications journal since 2006 Invited keynote speaker for the 2025 IEEE Conference on Artificial Intelligence

Will HoppittView profile

Lecturer

• Animal Behaviour
• Behavioural Ecology
• Statistical Modelling
• +4 more

Will Hoppitt is a Lecturer in Zoology at the University of Cumbria since 2024, with over 25 years of experience as a zoologist specializing in animal behavior and behavioral ecology. He holds a qualification in statistical modeling, emphasizing its integration into zoological education. Previously lecturing at Anglia Ruskin University and Leeds University, he was drawn to Cumbria’s natural surroundings for field-based teaching opportunities. His research focuses on animal social learning, examining cultural transmission mechanisms across species like humpback whales, chimpanzees, and honeybees. Notable projects include analyzing the spread of novel behaviors and the role of social networks in collective foraging. He teaches modules such as Animal Behaviour, Behavioral Ecology, and Statistical Modelling Techniques, integrating practical fieldwork and computer simulations into teaching methods. His work emphasizes close student interaction through seminars and group discussions, distinguishing Cumbria’s undergraduate programs. The university’s location near the Lake District and Pennines allows frequent fieldwork, such as deer park studies at Levens Hall. Hoppitt’s career includes freelance statistical consulting and safari guiding in Botswana’s Makadikadi region.

• Music Education
• Intercultural Education
• Inclusive Education
• +3 more

Javier González Martín is a Professor in the Department of Education at the University of Almería, specializing in Music Education. He serves as Secretary of the Department and teaches courses such as Didactics and Musical Perception and Music as a Teaching Medium for Personal and Social Development . His research focuses on intercultural education, inclusive practices, and innovative pedagogical methods in music education. Research Interests: Dr. González Martín explores music's role in fostering intercultural understanding through storytelling and songs. He investigates inclusive education strategies for learners with disabilities, pandemic-era school dynamics, and historical aspects of music education in marginalized communities. His work bridges cultural identity construction, sustainable development education, and psychoeducational interventions for musicians. Teaching & Professional Service: He coordinates the Trabajo Fin de Grado (Final Degree Project) for Primary Education students and advises on World Music and Social Integration. His office is located in the Central Building (Room 031), with tutoring via email as per university regulations. Publications Overview: His recent work (2020–2024) emphasizes music's role in hospital education contexts, intercultural pedagogy using folktales, and adapting teaching methods during crises. He also studies historical figures like Manuel Borguñó and explores flamenco's cultural significance in education.

Remo MombargView profile

Professor

• Motor Skills Development
• Physical Education
• Youth Sports
• +7 more

Remo Mombarg is a Professor of Sports Science at Hanze University of Applied Sciences, affiliated with the Centre of Expertise Healthy Ageing Healthy Lifestyle, Sports and Physical Activity Sports Education & Youth Sports. His work focuses on motor skills development, physical education, youth sports, and healthy lifestyle interventions, with particular emphasis on children's physical activity and motor competence. Dr. Mombarg earned his Doctor of Educational Psychology from Rijksuniversiteit Groningen in 2007 with research on personal aid for children with learning disabilities in vocational education. Since September 1995, he has maintained an external position at Rijksuniversiteit Groningen while developing his career at Hanze University. His research spans multiple domains including motor skills development in children, physical education methodologies, youth sports participation, and interventions for healthy aging. Mombarg's work frequently examines the relationship between physical activity, motor competence, and overall health outcomes, with special attention to children with developmental challenges such as developmental coordination disorder (DCD). Analysis of his recent publications reveals a strong focus on longitudinal studies of motor competence development in children, systematic reviews of motor and language skills in children with developmental disorders, ecosystem approaches to understanding physical activity, and innovative school-based interventions. His research increasingly incorporates spatial and temporal analysis of children's physical activity patterns and explores intergenerational approaches to promoting healthy lifestyles. Professor Mombarg leads numerous research projects including PASS (Paden effenen van lokale Actie naar Systeemverandering via Sport en bewegen), Innovatiewerkplaats Kind in de Wijk, and BSLIM (sportieve leefstijlproject: Bewegen voor kinderen, Slim Fit en Gezond). These projects focus on creating systemic change through sport and physical activity, particularly targeting children and youth. His professional activities include extensive collaboration with schools, sports organizations, and community partners. Mombarg has presented over 122 academic and professional activities, primarily as invited talks and oral presentations, demonstrating his active engagement with both academic and practical communities in the field of sports science and physical education.

Hugues MOUNIERView profile

Professor

• Control Theory
• Differential Flatness
• Controllability Analysis
• +5 more

Professor Hugues MOUNIER is affiliated with Paris Saclay University and the Laboratoire des Signaux et Systèmes (L2S) at CentraleSupélec. His primary role is as a Professor leading the COMEDY team, focusing on control systems and their applications. He has been a permanent member of L2S since 2010 and joined Paris Saclay University in 2008. His research spans theoretical and applied domains: differential flatness (for nonlinear and infinite-dimensional systems), Liouvillian systems, controllability/observability properties, and applications in contemplative neuroscience, physiological systems, and engineering systems like drilling, automotive, and network control. He leads the ANR project MindMadeClear, integrating mathematical models for meditation practices with physiological and phenomenological analysis. Key contributions include modeling oilwell drilling vibrations, model-free control strategies for vehicles and data centers, and neuroscientific studies using EEG classification for meditation states. His work bridges abstract theory (e.g., flatness analysis for HPA axes) with real-world applications (e.g., congestion control, energy management). He collaborates internationally, presenting at venues like ECC, IFAC, and IEEE conferences. His lab teams include SYCOMORE and MODESTY, focusing on dynamical systems modeling and estimation. No awards are explicitly listed, but his extensive peer-reviewed publications reflect sustained academic impact.

Tiziana Cervi-WilsonView profile

Assistant Professor

• Digital Literacies
• Language Learning
• Mobile Assisted Language Learning
• +5 more

Tiziana Cervi-Wilson serves as an Assistant Professor in the Faculty of Arts and Humanities at Coventry University, where she teaches Italian language modules from beginner to advanced levels. She functions as Course Director for all language modules and serves as internal moderator for undergraduate and postgraduate courses including 'Materials Evaluation and Design in a Multimedia World,' 'English Language Teaching in Practice,' and 'Computer Assisted Language Learning: Theory and Practice.' Dr. Cervi-Wilson holds an M.A in Management from Coventry University and maintains Fellowship status with the Higher Education Academy. Her academic journey includes previous roles as Lecturer in Italian within Coventry's Modern Languages BA program and as Academic Business, Language and Culture Adviser for the university's Placement and Employability Unit. She has also taught at Warwick University, demonstrating her broader institutional experience. Her research centers on digital literacies, language learning, mobile assisted language learning, and gamification. Notably, she developed 'ImparApp,' a beginners' Italian language learning application, in collaboration with colleagues from Coventry's Disruptive Media Lab. Her work investigates how mobile technologies can enhance language acquisition both inside and outside traditional classroom settings, with particular emphasis on developing employability skills through language education. Dr. Cervi-Wilson's scholarly output reveals a consistent focus on technology-enhanced language learning, with recent publications examining virtual reality applications, mobile learning platforms like Duolingo, and the integration of digital tools into language curriculum. Her research demonstrates how gamified approaches and location-based learning create immersive language experiences that extend beyond conventional classroom boundaries, connecting physical and digital learning environments. She has been actively involved in significant external projects including serving as co-Project leader for Routes into Languages Project for the West Midlands Consortium and representing the Language Horizons project. Dr. Cervi-Wilson has presented her work at numerous institutions including Birmingham, Aston, Southampton, and Warwick Universities, and has provided external examination services for Nottingham Trent University. At Coventry University, she has been instrumental in developing the university-wide language program within an employability framework, demonstrating the direct connection between language proficiency and career advancement. Her collaborative work with the Disruptive Media Learning Lab has produced innovative teaching methodologies that blend physical environments with digital learning experiences to enhance language acquisition.

• Computational Social Science
• Social Media Analysis
• Machine Learning for Social Good
• +6 more

Kenny Joseph is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences. He serves as Associate Director of the AI and Society Institute for Artificial Intelligence and Data Science. PhD in Societal Computing from Carnegie Mellon University (2016) MS in Societal Computing from Carnegie Mellon University (2012) BS in Computer Science from Carnegie Mellon University (2010) His research focuses on computational social science , examining stereotypes and prejudice dynamics , social inequality through computational tools , and gender disparities in organizations . He develops machine learning frameworks for neighborhood change prediction and predictive models for child welfare systems , with work featured in the New York Times . Scientific contributions include: UB Exceptional Scholar—Young Investigator Award (2021) He advises students Yuhao Du (Meta data scientist), Jason Yan (Michigan Ph.D. student), Arjunil Pathak (Amazon researcher), and Navid Madani (former Ph.D. student). His Computation and Equity Lab (cubelab) produces interdisciplinary work spanning social media analysis, urban equity, and computational methods for marginalized communities.

Dace ReihmaneView profile

Associate Professor

• Sports Science
• Exercise Physiology
• Biochemistry
• +3 more

Associate Professor Dace Reihmane is a prominent academic staff member in the Department of Human Physiology and Biochemistry at Rīga Stradiņš University (RSU), where she serves as the leader of the study course 'Medical Biochemistry.' She also holds the position of Acting Lead Researcher at the Laboratory of Sports and Nutrition Research. Dr. Reihmane maintains her office at RSU's Main Building (Room A-606) located at 16 Dzirciema iela, Rīga, LV-1007. Dr. Reihmane's research focuses primarily on sports science and exercise physiology, with special emphasis on exercise-induced changes in various biomarkers through invasive human studies. Her work bridges biochemistry, physical activity, and child health, making significant contributions to understanding how exercise affects physiological processes in young populations. Her research portfolio demonstrates a clear trajectory toward advancing sports science methodology and application in Latvia. Dr. Reihmane leads several major research initiatives including the national research program 'Innovations, methodologies and recommendations for the development and management of the sports sector in Latvia' (VPP-IZM-Sports-2023/1-0001), the EXPOSE research grant, and the TCReX project. She previously directed the University of Latvia's collaboration with the Latvian Olympic Committee on the Physical Activity and Children's Overall Health Study (PACH study). As a member of the scientific committee of the European College of Sport Science, Dr. Reihmane contributes to the broader international sports science community. Her methodological expertise was enhanced through participation in the Interdisciplinary IT Learning program at the University at Buffalo, State University of New York, where she gained advanced data analysis skills applicable to her research in sports science. Dr. Reihmane's work shows increasing emphasis on developing research methods and knowledge bases for health indicators in children and youth involved in sports, with particular attention to how these relate to training and competition processes. Her leadership in national research programs indicates her growing influence in shaping sports science policy and practice in Latvia.

• Computational Economics
• Agent-Based Modeling
• Innovation Economics
• +9 more

Herbert Dawid is a Professor of Economic Theory and Computational Economics at the Faculty of Business and Economics , Bielefeld University , Germany. He holds multiple roles including Chair Holder, Subproject Manager for SFB 1283, and Founding Director of the Center for Uncertainty Studies (CeUS) . His research focuses on Computational Economics , Agent-Based Modeling , and Innovation Dynamics , with emphasis on uncertainty management and digitalization. Current Appointments Professor (W3), Faculty of Business and Economics, Bielefeld University (since 2010) Subproject Manager, SFB 1283 (Innovation Dynamics in Market Uncertainty) Founding Director, Center for Uncertainty Studies (CeUS) Research Themes Digitalization and Intelligent Products Investing Under Uncertainty Agent-Based Modeling in Economics Dynamic Analysis of Economic Policy Control Theory and Differential Games His work spans economic policy modeling , technological innovation , and financial constraint analysis , with notable publications on AI integration in economic systems and autonomous vehicle policy frameworks. He contributes to interdisciplinary initiatives like AI*IM (Interactive Inclusive AI for People with Cognitive Disabilities) through economic expertise.

Daniela DomínguezView profile

Associate Professor

• Liberation Psychology
• Anti-Racism
• Migrant Justice
• +3 more

Dr. Daniela Domínguez is an Associate Professor in the Counseling Psychology Department at the University of San Francisco (USF), serving as Program Coordinator for the Marriage and Family Therapy program at the Santa Rosa Location. A licensed psychologist and professional clinical counselor, her work focuses on liberation psychology, anti-racism, migrant justice, and queer mental health. She holds a PsyD in Counseling Psychology from Our Lady of the Lake University (2015), an MS in Counseling Psychology (2010), and a BA in Psychology (2007) from St. Mary’s University. Her research emphasizes the psychological impacts of immigration detention, LGBTQ+ family dynamics, and systemic oppression. Notable contributions include exploring abolition feminism’s role in supporting Latinx migrant womxn, analyzing asylum seekers’ experiences with border violence, and advocating for culturally responsive mental health practices. Dr. Domínguez has received multiple recognitions including the USF Outstanding Professor Award (2022) and the National Latinx Psychological Association’s Vega Distinguished Service Award (2021). Professionally, she has served as Research Director at the Hanna Institute, owner of On the Margins LLC, and university counselor at Texas State University. Her community engagement includes roles on USF’s Mission Council and the Undocumented Student Scholarship Committee. Publications span academic journals and books addressing topics such as disaster mental health, binational family resilience, and decolonizing psychology.

• Wireless Communications
• Signal Processing
• Machine Learning
• +3 more

Hongliang Zhang is a faculty member at Peking University, School of Electronics , specializing in wireless communications and next-generation networks. His work spans reconfigurable intelligent surfaces (RIS), holographic MIMO, and meta-material-based sensing. Research Focus: 6G wireless systems, integrated sensing and communication (ISAC), beamforming optimization, and anti-jamming techniques. Recent Trends: Integration of large language models in aerial edge computing, generative AI for radio map benchmarks, and security frameworks for vehicular metaverses.

Sankardas RoyView profile

Associate Professor

• Cybersecurity
• Digital Forensics
• Android Security
• +5 more

Sankardas Roy is an Associate Professor in the Department of Computer Science at Bowling Green State University. His office is located in Room 238, Hayes Hall, Bowling Green, Ohio. He holds a PhD in Information Technology from George Mason University (2008), an MS in Computer Science from the Indian Statistical Institute (2001), and a BS in Electrical Engineering from Bengal Engineering College (1997). Research Interests: Dr. Roy's research focuses on cybersecurity and digital forensics, with specialization in Android security vetting through static/dynamic analysis and machine learning techniques. Additional interests include digital forensics tool evaluation, game theory applications in security, secure data aggregation in distributed systems, and attribute-based encryption schemes. Publication Trends: His recent publications demonstrate a strong focus on Android security frameworks, malware detection using deep learning, and digital forensics methodologies. Earlier work emphasized wireless sensor network security and game-theoretic defense mechanisms, showing consistent innovation in applied security solutions across different computing domains. Grants and Projects: NSF SaTC-funded project: "Data-driven approaches for security vetting of Android apps" (2017-2021) NIST-funded project: "Incorporating standards in Digital Forensics curricula" (2017-2019) Research Group: Dr. Roy leads an active research team including current MS students (Prabesh Pathak, Prabesh Poudel) and BS students (Andrew Meyer). Past students include Shiva Bhusal (MS 2018), Dewan Chaulagain (MS 2019), and David Shaw (BS 2020).