Find Academic Supervisors

Mooi Choo ChuahView profile

Professor

• Computer Vision
• Autonomous Systems
• Cybersecurity
• +3 more

Mooi Choo Chuah is a Professor in the Department of Computer Science & Engineering at Lehigh University. She serves as the associate director of I-DISC and previously held the NSF Advance Chair at Lehigh (2011). A renowned expert in autonomous systems, cyber-physical systems security, and healthcare technologies, she holds over 78 patents (63 U.S. + 15 international) in networking and AI domains. Her work spans efficient computer vision, autonomous vehicle perception, mobile healthcare systems, and resilient smart grid networks. Dr. Chuah earned her Ph.D. and M.S. in Electrical Engineering from UC San Diego, and a B.Eng. (1st Class Honors) from the University of Malaya. Her research focuses on cross-disciplinary innovations in AI-driven healthcare solutions, cybersecurity for industrial systems, and advanced vision systems for autonomous technologies. Her publications emphasize cutting-edge advancements in 3D human pose estimation, low-light imaging, and autonomous system robustness. Recent work addresses adversarial attacks on trajectory prediction models and novel semantic segmentation techniques for UAV inspections. Her 2021–2025 articles reflect a growing focus on multimodal fusion, event-based sensors, and real-time cybersecurity solutions. Awards: IEEE Fellow (2023), NAI Fellow (2023) Grants: Extensive NSF and industry-funded projects on smart grids and healthcare AI Labs: Leads I-DISC initiatives in interdisciplinary computing and security

Bruna PetrecaView profile

Professor

• Circular Economy
• Materials Science
• Human-Centered Design
• +3 more

Dr. Bruna Petreca is a Professor and Reader in Human Experience and Materials at the Royal College of Art's Materials Science Research Centre. She specializes in integrating human experience into materials development, focusing on circular economy, digital environments, and health/wellbeing. Her research leads projects like the UKRI Textiles Circularity Centre and EPSRC Dematerialisation initiatives, emphasizing sustainable fashion, consumer behavior, and digital tools. Educated at the University of São Paulo (BA in Fashion/Textiles) and the RCA (PhD in Design Products), she has a postdoctoral background at TU Delft. Awards include 2013 Human Centred Design prizes and recognition for her work on material experience frameworks. She collaborates internationally, chairs research ethics at RCA, and co-leads projects on AI design tools and circular fashion. Her teaching spans undergraduate/postgraduate levels, emphasizing materials science, human-centered design, and sustainable practices. Education: PhD (RCA), Postdoc (TU Delft), BA (USP) Key Projects: Textiles Circularity Centre (UKRI), Consumer Experience Digital Tools (EPSRC), Brazil-UK Natural Polymers Network Awards: Best Concept/Human Centred Design (2013), Best Poster Presentation (2013) Research Themes: Circular fashion, material experience frameworks, embodied design, AR tools for sustainability

Anuraag ShrivastavView profile

Professor

• Cancer Biology
• Cellular Signaling Pathways
• Oncology
• +4 more

Dr. Anuraag Shrivastav is a Professor at the University of Winnipeg's Department of Biology, affiliated with the Richardson College for the Environment and Science Complex. His research focuses on cellular signaling mechanisms linked to cancer development, particularly studying biomarkers and therapeutic targets for colorectal, breast, and prostate cancers. His lab also explores renewable energy materials, including perovskite solar cells and nanomaterials like zinc oxide buckyballs. Research Interests: Dr. Shrivastav investigates oncogenic pathways involving N-myristoyltransferase (NMT), mTOR signaling, and STAT3/AP1 interactions. His work bridges basic science and clinical applications, developing diagnostic tools such as blood-based biomarker tests. Simultaneously, he pioneers advancements in energy materials through computational modeling and experimental synthesis of novel photovoltaic systems. Publications Trends: Over 2023-2025, his articles emphasize translational cancer research—identifying prognostic markers and therapeutic strategies—while maintaining a parallel focus on materials innovation for sustainable energy solutions. This dual focus reflects his interdisciplinary approach to scientific inquiry. Awards: No specific awards mentioned, though his extensive publication record indicates sustained research impact. He currently supervises graduate students and postdocs in both cancer biology and materials science domains. Lab/Team: His laboratory integrates molecular biology, computational modeling, and materials engineering, fostering cross-disciplinary collaboration. Active projects include NMT-based cancer diagnostics and next-generation solar cell development.

Brian K. SmithView profile

Professor

• Design of computational learning environments
• Computer Science Education
• Human-Computer Interaction
• +3 more

Brian K. Smith is a Professor at the Lynch School of Education and Human Development at Boston College , holding the Honorable David S. Nelson Chair and serving as Associate Dean for Research . His career spans roles at Drexel University, MIT, the National Science Foundation, and Rhode Island School of Design. Education: Ph.D., Learning Sciences, Northwestern University B.A., Computer Science and Engineering, University of California at Los Angeles (1991) Research Interests focus on the design of computer-based learning environments, human-computer interaction, and computational thinking. He leads the Lynch School’s new M.A. program in Learning Engineering , blending learning science with practical design for curricula, museum exhibits, and corporate training. Recent publications highlight trends in AI integration for education , game-based learning platforms , and sociomateriality theory for learning sciences. His work emphasizes equity, particularly for underrepresented groups in STEM. Scientific Awards include the NSF CAREER Award , Apple Distinguished Educator , and TRW Chairman's Award for Innovation . Grants & Collaborations: Technical advisor to the Center for Inclusive Computing at Northeastern University Co-investigator in RISD’s “STEM to STEAM” initiative Labs & Teams: Co-director of Boston College’s M.A. in Learning Engineering program Vice chair of the World Usability Day Design Challenge

Dennis MoekeView profile

Lecturer

• Patient Logistics
• Healthcare Logistics
• Data-driven Capacity Planning
• +4 more

Dennis Moeke is a Lecturer in Logistics and Alliances at HAN University of Applied Sciences, leading the Logistics and Alliances Lectorate. He holds a broad professional network spanning logistics, government, and academia, with a focus on healthcare logistics and sustainable urban development. His research addresses societal challenges such as affordable healthcare systems, smart logistics solutions, and livable cities through interdisciplinary collaboration. His expertise includes patient logistics, data-driven capacity planning, and optimization of healthcare processes. Key projects include the Healthy City Lab , exploring sustainable last-mile logistics in cities via two Living Labs (Campus Heijendaal and Buur & Zo), and the Living Labs Sustainable Supply Chain Management in Healthcare . He has secured significant funding, including a NWO grant (Project 439.18.457), to advance interdisciplinary research. Notable contributions include developing the Buur & Zo concept (home care concierge services) and optimizing hospital patient flows using process mining. He collaborates with organizations like Logistics Valley, Health Valley, CWZ Carinova, and Siza. His work emphasizes practical applications, translating academic insights into real-world tools for healthcare and logistics sectors. Publications span topics like home care scheduling optimization, sustainable urban logistics, and pandemic response logistics. He actively promotes the role of logistics in societal well-being through teaching and industry partnerships.

• Electronic Engineering
• Mechatronics and Robotics
• Human-Robot Interaction
• +7 more

Roya Haratian serves as Principal Academic (equivalent to Associate Professor) in Electronic Science and Engineering at Bournemouth University's Department of Design and Engineering within the Faculty of Science and Technology. As Deputy Head of Department and Athena SWAN lead, she spearheaded the department's successful Bronze Award in 2021 for gender equality initiatives. Her leadership extends to curriculum development in Mechatronics and Robotics programs across undergraduate and postgraduate levels. Her academic credentials include a BSc (First Class Honours) and MSc (Distinction) in Electrical and Electronic Engineering, followed by a PhD in Electronic Engineering from Queen Mary University of London (2014). Prior to her current role, she worked as an Associate Lecturer at QMUL and Research Associate at Bristol Robotics Lab, focusing on on-body sensing systems and bio-signal processing for human-machine collaboration. Haratian's research centers on electronic engineering applications in human-robot interaction, with particular emphasis on on-body sensing technologies, signal processing, and machine learning. Her work bridges theoretical innovation with industrial implementation, developing assistive technologies for healthcare and safety-critical systems. Recent projects address diabetic foot ulcer prevention, emotion recognition in VR, and human-machine collaboration safety protocols, demonstrating strong translational impact across medical and industrial domains. Analysis of her 15 most recent publications reveals a strategic progression from foundational signal processing techniques toward integrated human-machine systems. Her work increasingly incorporates game theory for resource allocation, AI-driven predictive modeling, and inclusive design principles, with growing emphasis on real-world implementation challenges and ethical considerations in assistive technologies. Key recognitions include: Athena SWAN Bronze Award (Advance HE, 2021) for departmental gender equality leadership Senior Fellowship of Higher Education Academy (2021) BU Doctoral College Outstanding Contribution Award (2025) Design Review Award from Institute of Mechanical Engineering (2023) Student Experience 'You are Brilliant' Award (2017) As Recognised Research Supervisor (UK Council for Graduate Education), she currently co-supervises five PhD students on topics including AI surveillance, biomechatronics, and digital twin simulation. Her £1.2M+ research portfolio features strategic partnerships with Zimmer-Biomet, Computational Mechanics Wessex Institute, and Daido Industrial Bearing, with recent grants including HEIF-funded AI emotion recognition systems (2025) and QR-funded human-machine safety protocols (2024). She actively mentors through AdvanceHE's Aurora program and leads BU's Inclusivity Curriculum Evaluation project. Haratian directs the department's Athena SWAN initiative and collaborates with the Royal Institute on STEM outreach, designing bioelectronic masterclasses for GCSE students. Her public engagement includes 'Café Scientifique' discussions on machine emotion recognition and keynote addresses at Brockenhurst STEM Awards, focusing on translating on-body sensing research into real-world health applications.

Helen HuangView profile

Associate Professor

• Biomechanics
• Neuroengineering
• Locomotion
• +3 more

Helen Huang is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF). She directs the Biomechanics, Rehabilitation, and Interdisciplinary Neuroscience (BRaIN) Laboratory, where her team—comprising students from biomedical, mechanical, and electrical engineering—investigates motor adaptation, gait neuromechanics, and rehabilitation technologies. Her lab focuses on brain dynamics during locomotion, robotic rehabilitation devices, and advanced EEG/EMG methodologies for young and older adults. Education: Huang holds a B.S. in Materials Science and Engineering from MIT and M.S./Ph.D. in Biomedical Engineering from the University of Michigan. Prior to academia, she worked as a materials engineer at Michelin and completed postdoctoral training at the University of Colorado and University of Michigan. Research Focus: Her interdisciplinary work bridges biomechanics, neuroengineering, and rehabilitation science. Key areas include: Motor adaptation and brain dynamics during gait perturbations Robotic interventions for balance and fall prevention in aging populations Novel electrophysiological methods (EEG/EMG) for movement analysis Neuromechanical factors in interlimb coordination and stability Publication Trends: Her recent articles (2018-2024) demonstrate evolving emphasis on EEG artifact mitigation, gait perturbation responses in aging, wearable sensor development, and equity in neurodiagnostics. Methodologically, they integrate biomechanical modeling, clinical psychophysiology, and rehabilitation technology validation. Awards & Honors: 2021 UCF Reach for the Stars & Research Incentive Award 2020 UCF Luminary Award and ASB President’s Award NSF CAREER Award for EEG artifact research Invitation to U.S. National Academy of Engineering symposium (2019) NIH grantsmanship fellowship (2017) Grants & Leadership: NIH/NIA R25 multi-PI for diversity in aging research (2023-2028) NIH R01 PI for gait perturbation studies (2017-2022) Leads BRaIN Lab with cross-disciplinary student teams Teaching: Courses include Advanced Biomechanics (BME 6215), Engineering Biomechanics (BME 3211), Bioinstrumentation (BME 6500), and special topics in biomedical engineering.

Marc RatkovicView profile

Professor

• Machine Learning
• Deep Learning
• Social Science Methodology
• +3 more

Professor Marc Ratkovic leads the Chair of Social Data Science at the University of Mannheim's Faculty of Social Sciences. His work focuses on integrating machine learning and large language models (LLMs) into social science methodology, particularly for statistical and causal inference. Recent initiatives include organizing an AI hackathon with Springer Nature to explore AI's role in scientific writing and presenting at the 2025 University:Future Festival on GPT's impact on academic clarity. He collaborates with Thomas Gschwend and oversees a team advancing quantitative social science through server systems and master's curricula. Research: Prioritizes computational methods in political science and interdisciplinary applications Events: Organized international hackathons and participated in global academic festivals His team includes research assistants like Jacob Chen, who focuses on LLMs for scientific writing quality. No formal awards listed, but active in shaping AI-driven research practices. Secretariat contact: sekretariat.ratkovic@uni-mannheim.de

Richard W. LachmanView profile

Professor

• Convergent Media
• Digital Documentary
• Interactive Storytelling
• +3 more

Dr. Richard W. Lachman is a Professor in Digital Media at Toronto Metropolitan University's RTA School of Media, while currently on leave. He serves as Director of Zone Learning, Creative Technology Research and Development, and the Experiential Media Institute. Director, Zone Learning (Toronto Met) Director, Creative Technology R&D Director, Experiential Media Institute His research explores convergent media, digital documentary, collaborative work, and new storytelling forms. He specializes in prosocial VR applications, interactive cinema, and emotional regulation through games. Current projects include immersive narratives for mental health and AI-enhanced media production. Recent scientific publications focus on: Virtual reality applications for clinical psychology Interactive storytelling in metaverse environments Conversational AI design challenges Prosocial impact of immersive media AI integration in entertainment workflows Awarded the Gemini Award for creative production, Lachman collaborates with Discovery Channel Canada, NFB, CTV, and the Banff Centre for the Arts. His work spans entertainment properties, educational gamification, and cross-disciplinary innovation in STEAM education. Over 25 years of industry experience in computer games shipping millions of copies Featured in New York Times, Time Magazine, and USA Today Exhibited at American Museum of the Moving Image

Ken HylandView profile

Professor

• Academic Discourse
• Writing
• Language Education
• +7 more

Ken Hyland is an Honorary Professor at the University of East Anglia (School of Education & Lifelong Learning) and an Honorary Professor at Jilin University in China. With over 29 books and 280 papers, he is recognized as the world's leading scholar in language and linguistics by the Stanford/Elsevier Top 2% of World Scientists analysis. Former Director of the Centre for Applied English Studies at the University of Hong Kong Former Professor at UCL Institute of Education, London Foundation Fellow of the Hong Kong Academy of the Humanities His research spans academic discourse , writing pedagogy , language education , and metadiscourse analysis , with a focus on second language writing , feedback practices , and AI's role in writing . Recent projects explore ChatGPT's rhetorical strategies and digital literacy in writing evaluation. His publications demonstrate expertise in corpus linguistics , genre analysis , and cross-cultural communication . Articles show trends in analyzing AI-generated texts, medical discourse, and evolving academic writing conventions. 2022: Most Influential Scholar in Global Applied Linguistics Co-editor of Applied Linguistics and founding co-editor of Journal of English for Academic Purposes Ken has taught in Sudan, Saudi Arabia, Malaysia, Papua New Guinea, New Zealand, and Hong Kong. He contributes to projects like the LIT Educational Hub (2021–2023), enhancing digital university experiences in BRI countries.

Warut Khern-am-nuaiView profile

Associate Professor

• Information Systems
• Management Information Systems
• Online Marketplaces
• +5 more

Warut Khern-am-nuai serves as Associate Professor of Information Systems at McGill University's Desautels Faculty of Management, where he directs the Analytics, AI and Advanced Digital Technologies Initiative and Business & Management Research Centre while co-directing the Retail Innovation Lab. His cross-disciplinary work bridges information systems, artificial intelligence, and business operations with significant industry impact. His educational credentials include a Ph.D. in Management (MIS) with Computer Science minor from Purdue University, M.S. in Economics from Purdue, MBA (Honors) from Thailand's National Institute of Development Administration, and B.Eng. in Computer Engineering (First-Class Honors) from King Mongkut Institute of Technology Ladkrabang. Dr. Khern-am-nuai's research centers on online marketplace dynamics , predictive analytics for business , and AI-driven platform design , with special focus on user behavior, security implications, and economic outcomes. His work employs rigorous experimental and data-driven methodologies to address real-world challenges in retail, e-commerce, and digital platforms. Analysis of his recent publications reveals a strong trajectory toward fairness in machine learning systems , behavioral impacts of platform design , and AI applications in post-pandemic retail . These studies consistently leverage large-scale user data and experimental approaches to generate actionable business insights across diverse contexts. His scientific recognition includes: AIS Early Career Award (2023) ISS Sandy Slaughter Early Career Award (2022) Invitational Fellowship from Japan Society for Promotion of Science (2023) Multiple teaching honors including Poets&Quants Top 50 Professor (2022) Dr. Khern-am-nuai has secured over $1.1 million in competitive research funding, including SSHRC Insight Grants for "AI Generated Content and the Future of Online Platforms" ($143,510) and NSERC Discovery Grants for "Helping Retail Industry Navigate the Post-Pandemic World with AI" ($155,000). His grant portfolio demonstrates exceptional success in translating theoretical research into practical business solutions through industry partnerships. As leader of the Retail Innovation Lab and Analytics Initiative, he drives collaborative research connecting academic rigor with industry challenges, particularly in applying AI to retail analytics, supply chain optimization, and consumer behavior prediction through interdisciplinary team structures.

Seongsook ChoiView profile

Senior Lecturer

• Interdisciplinary Studies
• Education
• Linguistics
• +5 more

Dr. Seongsook Choi is a Senior Lecturer in Interdisciplinary Studies at the Moray House School of Education and Sport, University of Edinburgh. Their work focuses on interdisciplinary learning, teaching, and discourse analysis. They lead the Interactional Discourse Lab (IDLab), developing tools for mapping spoken interaction patterns in interdisciplinary contexts. Current research includes a forthcoming book, Interdisciplinary Discourse: Communicating across Disciplines (Palgrave Macmillan), and computational analysis of academic collaboration dynamics. Education & Affiliations : Affiliated with the Institute for Education, Community & Society (IECS) and the Centre for Research in Digital Education. Office SJL4.01 at Holyrood Campus, Edinburgh (EH8 8AQ). Research Interests : Interdisciplinary pedagogy, spoken discourse analysis, disciplinary identity dynamics, and collaborative knowledge construction. Specializes in analyzing interactional discourse in higher education through tools like the IDLab, which visualizes communication patterns in interdisciplinary teams. Student Supervision : Currently guiding 5 PhD students exploring topics like hedging devices in language education, interdisciplinary ethics, and automated feedback systems. Past student Ana Isabel Hibert researched automated writing evaluation tools for ESL learners. Labs & Projects : Founder of the Interactional Discourse Lab (GitHub-hosted), focusing on open-source tools for mapping academic collaboration. Active in developing visualisation frameworks for interdisciplinary dialogue analysis.

• Service-Oriented Architectures
• Cloud Computing
• Data Management
• +7 more

Professor Kyriazis Dimosthenis holds a faculty position at the Department of Digital Systems, University of Piraeus. He earned his diploma in Electrical & Computer Engineering from the National Technical University of Athens (2001) and a cross-disciplinary MSc in Techno-Economic Systems (2004). His academic rank is Professor specializing in service-oriented architectures with a focus on quality of service and workflow management. He has led European projects like BigDataStack, CrowdHEALTH, and CYBELE, addressing challenges in cloud computing, edge computing, and AI-driven solutions for healthcare, finance, and industrial sectors. His research emphasizes resilient service-oriented systems, AI explainability, and human-centric digital transformation. Notable contributions include frameworks for dynamic resource allocation in hybrid cloud/edge environments, AI applications for maritime safety, and data governance solutions for cross-sector integration. He coordinates initiatives such as the Future Internet Architecture Board and Cloud QoS&SLAs, driving advancements in federated data marketplaces and sustainable computing practices. His recent work explores Large Language Model (LLM) applications in financial decision-making, conversational AI for MLOps, and neurosymbolic systems for defect detection. He also investigates XAI methodologies, including VirtualXAI, which leverages GPT-generated personas for explainability assessment. His projects often bridge technical innovation with societal impact, such as the iHELP platform for holistic health records and SmartCHANGE for behavioral change strategies in youth health. Key themes in his publications include bias mitigation in machine learning, dynamic deployment prediction in hybrid cloud settings, and energy-efficient data spaces for mobility. He has contributed to standards like the H2020-funded IRMOS and 5GTANGO, emphasizing interoperability and fault-tolerant architectures. His work frequently intersects with EU policy frameworks, particularly in data governance and ethical AI implementation.

Francis GacengaView profile

Researcher

• Research Data Management
• IT Service Management
• Design Science
• +3 more

Dr. Francis Gacenga, currently at the University of Southern Queensland (UniSQ), serves as a Senior Digital Research Advisor in the Research Infrastructure Admin department. He is affiliated with the Centre for Sustainable Agricultural Systems and Institute for Advanced Engineering and Space Sciences. PhD in Information Systems (USQ, 2013) MBA (University of Nairobi, 2000) Graduate Diploma in MIS (University of Greenwich, 2003) BA(Hons) from Kenyatta University (1997) With over 20 years of experience in IT and academic research, Dr. Gacenga specializes in Research Data Management (RDM), IT Service Management (ITSM), Digital Research Infrastructure, and Design Science. His work focuses on applying FAIR (Findable, Accessible, Interoperable, Reusable) data principles to agricultural and environmental domains. The 15 most recent publications reveal a trajectory from foundational ITSM research (2010-2016) to agricultural data platforms (2019-2024). Key themes include FAIR data implementation, cloud computing integration, reproducible research frameworks, and cross-disciplinary agricultural applications. Senior Member of Australian Computer Society (since 2009) Former Chair of ACS Toowoomba Chapter As Principal Investigator for grants totaling over $500k from GRDC, Soils CRC, and ARDC, he leads digital infrastructure projects. He also supervises Doctoral candidates and contributes to national cybersecurity and data policy committees.

Winslow BurlesonView profile

Professor

• Human-Computer Interaction (HCI)
• Robotics
• Assistive Technology
• +5 more

Winslow Burleson is a Professor at the University of Arizona's School of Information, specializing in Human-Computer Interaction (HCI), Robotics, and Assistive Technology. His research focuses on developing innovative systems for education, healthcare, and marine engineering. Notable projects include the DRESS system for dementia care, CrowdMuse for collaborative creativity, and underwater robotics interfaces. He has received the James Chen Annual Award for Best Journal Article (2012) and leads interdisciplinary teams in cyberlearning and adaptive tutoring systems. Education background includes advanced studies in computer science and engineering, though specific details are not provided. His work integrates robotics, affective computing, and smart environments to address real-world challenges such as aging, education, and environmental exploration. Research interests span robotics applications in education (e.g., co-robotic learning agents), assistive technologies for independent living, and multimodal learning environments. His contributions include adaptive systems for creative crowdsourcing, emotion-aware tutoring platforms, and underwater human-robot interaction frameworks. Current projects emphasize scalable crowd ideation tools and sensor-driven behavior change interventions. Awards include recognition for impactful journal contributions, while grants fund initiatives like cyberlearning with teachable robots and precision oncology IT tools. Advising and grant activities are central to his academic contributions, though specific student names are not listed. Collaborations involve cross-disciplinary teams in engineering, healthcare, and arts to create impactful technologies. Burleson's lab focuses on developing responsive emotive systems, wearable assistive devices, and immersive multimedia applications. Ongoing work explores scalable solutions for dementia support, marine technology interfaces, and creative human-computer interaction paradigms.