Find Academic Supervisors

Muhammed-Ugur KaragülleView profile

Researcher

• Medical Informatics
• AI in Healthcare
• Mobile Health (mHealth)
• +3 more

Muhammed-Ugur Karagülle is a Researcher at the Institute of Computer Science, Department of Databases and Information Systems at Freie Universität Berlin. His work focuses on developing AI-driven healthcare solutions and information systems for medical and veterinary applications. He is affiliated with the university's research group specializing in databases and information systems, contributing to advanced projects such as AINA, SurgeRate, and mHealthAtlas. Research interests include medical informatics, mobile health (mHealth) platforms, veterinary diagnostics systems, and AI integration in healthcare workflows. His projects address challenges in disease diagnosis (e.g., schistosomiasis), surgical performance evaluation, and regulatory frameworks for digital health applications. Key contributions include the design of HaLowNet (a WiFi-based emergency healthcare system), the PRECOSE grayscale conversion method for medical scoring boards, and collaborative platforms like mHealthAtlas for evaluating mHealth applications. His work emphasizes interdisciplinary collaboration and human-centered design principles. Currently, he is involved in projects such as XRay2Model, mCIS.vet (mobile clinical information systems for veterinary medicine), and process optimization for digital health applications. Office hours are held weekly, requiring prior email registration.

• Virtual Reality (VR)
• Augmented Reality (AR)
• Mixed Reality Training
• +7 more

Christian Schönauer is a PostDoc Researcher at TU Wien's Department of Virtual and Augmented Reality. His work focuses on advanced AR/VR applications in emergency response training, construction quality assurance, and healthcare rehabilitation. He leads the BIMCheck project (2021–2024), developing smart BIM-real building comparison systems. Notable research includes immersive training systems for first responders, wireless VR platforms like ImmersiveDeck, and AR frameworks for distributed collaboration. Education: PhD in Computer Science (2015, TU Wien) and MSc in Technical Mathematics. His projects have been funded by FFG (Austrian Research Promotion Agency), OEAD, and EU Commission grants. Research highlights include: Development of photogrammetry-based autonomous robots for 3D reconstruction Integration of BIM models with AR for construction site inspections VR training systems for CBRN defense and fire brigade operations Human-robot interaction studies in hazardous environments He has supervised 12 diploma theses on topics ranging from laser tracking systems to motion capture rehabilitation tools. Active in international conferences like IEEE VR and ISMAR, his work bridges academic research with practical industry applications in construction safety and emergency preparedness.

Michael HockenhullView profile

Assistant Professor

• Science and Technology Studies (STS)
• Ethnography
• Data Visualization
• +9 more

Michael Hockenhull is an Assistant Professor at the IT University of Copenhagen (ITU), affiliated with the Department of Technologies in Practice. His work focuses on interdisciplinary research at the intersection of Science and Technology Studies (STS), Digital Humanities, and political economy. He explores topics such as data infrastructure governance, speculative design, and the societal implications of digitalization through ethnographic and visual analytic methods. He has contributed to two major research projects: SSH and Sustainable Business (2021–2023, Carlsberg Foundation) and Data as Relation (2016–2021, Velux Foundation), both emphasizing digitalization, corporate sustainability, and sociotechnical systems. His recent publications (2020–2024) reflect a growing interest in climate technology advocacy, feminist digital methodologies, and critical analyses of Denmark’s tech sector. Michael frequently engages with public discourse through media contributions and organized events like Folkemødet 2024 workshop. His research emphasizes opening 'black boxes' of digital systems to foster accountability and ethical innovation.

Beatrice D'IppolitoView profile

Professor

• Strategic Management
• Innovation Management
• Inter-firm Collaborations
• +4 more

Professor Beatrice D'Ippolito holds the Chair in Strategic Management and Innovation at the University of York's York Management School, within the School for Business and Society. Her research bridges micro-level firm dynamics and meso-level industry evolution, focusing on knowledge creation, inter-firm collaborations, and digital transformation. She has conducted qualitative and archival studies across sectors including design-intensive industries, energy technologies, and research infrastructures in Europe. Education: PhD in Economics and Management of Innovation, University of Manchester (ESRC Fellowship) MRes, University of Manchester (ESRC Fellowship) MSc, Università Cattolica del Sacro Cuore, Italy BBA, University of Lancaster, UK Research Interests: Firm and industry-level knowledge systematisation Design as a strategic and innovative process Impact of digital technologies on creative industries Inter-firm collaboration and innovation ecosystems Her work explores how organizations leverage digital tools and design-driven approaches to innovate, with recent trends addressing climate adaptation strategies and the 'dark side' of business model innovation. She contributes to editorial boards of Research Policy and Journal of Management Studies . Grants and Projects: Principal Investigator for ESRC-funded project on skill mismatch at the BBC (2024-2026) Co-investigator for study on digital platforms in film distribution (2016-2017) Professor D'Ippolito advises PhD candidates in design and innovation management, emphasizing digital technologies' organizational impacts. She leads the 'Risk, Innovation, and the Economy' research theme and engages in global collaborations, including at the French GIANT campus and Tenerrdis cluster.

• Distributed computing and systems software
• Data management and data science
• Electronics, sensors and digital hardware
• +7 more

Assoc. Prof. Ali Yavari is an Associate Professor of Computer Science at Swinburne University of Technology's School of Science, Computing and Emerging Technologies. He also serves as Director of the 6G Research and Innovation Lab and Radiofrequency Lab. His academic journey includes a PhD in Computer Science from RMIT University (Australia) and a Master's in Communication Systems from KTH Royal Institute of Technology (Sweden). His research focuses on IoT, Cyber-Physical Systems (CPS), 5G/6G communication technologies, renewable energy systems, and health informatics. He leads collaborative projects funded by entities like Future Energy Exports CRC, Australian Radiation Protection & Nuclear Safety Agency (ARPANSA), and the Victoria State Government. Notable contributions include developing AI-driven IoT platforms for environmental monitoring (e.g., ArtEMon) and cybersecurity frameworks for Industry 4.0. Key achievements include the Victoria Fellowship in Physical Sciences (2020), Vice-Chancellor’s Research Excellence Awards (2021, 2023), and a Best Paper Award at the Hawaii International Conference on System Sciences. His work spans over 65 publications in top journals/conferences such as IEEE Sensors , Sustainable Energy Technologies and Assessments , and Environmental Research . Professional activities include program committee roles at IEEE conferences and memberships in ACM and IEEE (Senior Member). He actively supervises PhD candidates and teaches courses in IoT programming and advanced computing topics.

Hamid R. ParsaeiView profile

Professor

• Manufacturing Systems Design
• Additive Manufacturing
• Economic Decision Making
• +3 more

Hamid R. Parsaei is a Professor of Industrial & Systems Engineering and Affiliated Professor in Multidisciplinary Engineering at Texas A&M University's College of Engineering. He serves as Director of College of Engineering Accreditation and Assessment. His expertise spans manufacturing systems design, additive manufacturing, and economic decision-making. He holds certifications as a Professional Engineer (PE) and has received numerous accolades including the IISE Albert G. Holzman Distinguished Educator Award (2022) and multiple fellowships from IISE, SME, and ASEE. Education: Ph.D. in Industrial Engineering, University of Texas at Arlington Research Interests: Design and analysis of manufacturing systems Industry 4.0 implementation and reconfigurable manufacturing systems Remote laboratory technologies for engineering education Economic decision-making in manufacturing and supply chains Sustainable manufacturing and enterprise reconfiguration His recent work focuses on Industry 4.0 readiness frameworks, digital twin technologies, and maritime risk analysis. He co-authored the award-winning book Reconfigurable Manufacturing Enterprises for Industry 4.0 (CRC Press, 2021). His publications span over 150 articles addressing smart manufacturing systems, remote laboratory platforms, and engineering education innovations. Key Awards: 2023 Distinguished Service Award (Industrial Engineering and Operations Management Society) 2022 IISE Book-of-the-Year Award 2018 Fred C. Crane Distinguished Service Award Lifetime Fellowships from IISE, SME, and ASEE Leadership and Impact: Dr. Parsaei pioneered scalable remote laboratory systems for global engineering education, enhancing accessibility through technologies like wiki-based platforms and mobile-optimized frameworks. He has advised numerous initiatives in educational technology and safety-critical systems, including UAV-based safety management in the oil industry. His work bridges academic research with industry needs through innovative solutions for manufacturing competitiveness and workforce readiness.

Aron CulottaView profile

Professor

• Natural Language Processing
• Social Network Analysis
• Artificial Intelligence
• +9 more

Aron Culotta is a Full Professor of Computer Science at Tulane University, leading the Text Analysis in the Public Interest lab and serving as Director of the Tulane Center for Community-Engaged Artificial Intelligence and the Jurist Center for Artificial Intelligence. He holds a Ph.D. from the University of Massachusetts Amherst (2008), a M.S. from the same institution (2004), and a B.S. from Tulane University (2002). His work focuses on human-centered AI, leveraging NLP and social network analysis to address societal challenges in public health, emergency response, criminal justice, and civic transparency. Culotta has pioneered methods to track disease outbreaks, measure public health campaign effectiveness, and inform disaster response through social media analysis. Research interests include natural language processing, causal inference, domain adaptation, and crisis informatics. Notable contributions span frameworks for reducing algorithmic bias, developing community-driven AI platforms, and analyzing social media dynamics for public good. His interdisciplinary projects are supported by over $4.8M in funding from NSF, NEH, and Tulane initiatives, among others. Culotta has mentored 33 capstone teams and advised 5 graduated PhD students now in academia and industry. Awards: Barbara E. Moely Service Learning Award (2024-2025), Nayar Prize Finalist (2016), Teacher of the Year (2018), and multiple best paper recognitions at AAAI and CSCW. Leadership: Spearheads the Tulane CEAI Center, fostering collaborations across 7 universities and 3 non-profits. Hosts workshops like PACE 2024 and Gulf Coast AI Social at NeurIPS. Education: Ph.D. in Computer Science (UMass Amherst, 2008), M.S. (UMass Amherst, 2004), B.S. (Tulane University, 2002). His work emphasizes collaboration with community partners to ensure AI systems are inclusive, transparent, and equitable. Recent projects include a criminal court transparency platform and AI tools for tracking blight in New Orleans. Culotta’s research bridges technical innovation with societal impact, addressing urgent challenges like health equity and algorithmic fairness.

Rose MarraView profile

Professor

• Technology-Enhanced Learning Environments
• STEM Education
• Online Learning Strategies
• +3 more

Rose Marra is a Professor and Director at the School of Information Science & Learning Technologies, University of Missouri. She holds a PhD from the University of Colorado (1996) following an MS in Computer Science from the University of Kansas (1984) and a BS from Rockhurst University (1984). Her research focuses on technology-enhanced learning environments, STEM education, and online learning design. Prior to academia, she worked as a software engineer at AT&T Bell Labs. Education: PhD in Educational Leadership & Innovation, University of Colorado (1996) MS in Computer Science, University of Kansas (1984) BS in Computer Science, Rockhurst University (1984) Professional Roles: Professor at University of Missouri since 2000 Former Assistant Professor at Pennsylvania State University (1996–2001) Director of Instructional Services, Penn State (1996–2001) Dr. Marra’s work emphasizes problem-based learning in engineering education, leveraging technology to foster metacognition and self-directed learning. She co-developed the SeeBeefGenetics cattle breeding simulation and pioneered the SeQoL online learning efficacy questionnaire. Her research addresses gender equity in STEM and the impact of remote learning transitions on engineering students. Her publications analyze student self-efficacy, remote learning challenges, and curriculum design. She collaborates on initiatives like the Iron Range Engineering PBL Curriculum and the National Girls Collaborative Project to enhance diversity and inclusion in engineering.

Zsofia KrausslView profile

Senior Lecturer

• Digital Transformation in Finance
• Innovation in Finance
• Data as an Emerging Asset Class
• +3 more

Dr. Zsofia Kraussl is a Senior Lecturer in Finance and Technology at Bayes Business School (formerly Cass) at City, University of London. She holds a PhD in Information Systems Management from the Free University Amsterdam (2011). Her research focuses on digital transformation in finance, valuation fundamentals, and socio-economic impacts of data as an asset class, with empirical work on marketplace lending and digitization effects. She also investigates higher education curriculum design and performance metrics, having developed an MSc program in Digital Transformation in Finance at the University of Luxembourg. Additionally, she is a visiting scholar at UC Berkeley’s Center for Studies in Higher Education (CSHE). Education: PhD in Information Systems Management, Free University Amsterdam (2011) Her research interests span innovation in finance, digital infrastructure for sustainability, and blockchain applications like tokenization of sukuk. She actively contributes to interdisciplinary studies at the intersection of finance, technology, and education. Recent work includes AI-driven market regime forecasting and differential privacy in smart contracts. Advising and grants focus on curriculum development and digital finance initiatives. Her work often involves collaborations across academic disciplines and industry partners to address emerging trends in financial technology and educational policy. Labs/teams: Collaborates with the CSHE at UC Berkeley and leads interdisciplinary projects at Bayes Business School focusing on digital finance innovation and higher education frameworks.

Renato J. FigueiredoView profile

Professor

• Distributed Systems
• Cyberinfrastructure
• Resource Virtualization
• +7 more

Renato J. Figueiredo is a Professor at the School of Electrical Engineering and Computer Science (EECS) at Oregon State University , where he leads the HiPCastor research group. His work focuses on distributed systems , cyberinfrastructure , and resource virtualization across edge-to-cloud computing, applied to ecological forecasting , biodiversity , and smart communities . Prior roles include Assistant Professor at Northwestern University (2001-2002) and Associate/Full Professor at the University of Florida (2002-2024), with sabbatical research at Vrije Universiteit (2012-2013). Education : Ph.D., Computer Engineering, Purdue University (2001) M.S., Electrical Engineering, University of Campinas (1995) B.S., Electrical Engineering, University of Campinas (1994) Research Interests span virtualization technologies (virtual machines, networks, file systems), edge and cloud computing , and cyberinfrastructure for interdisciplinary science, particularly freshwater ecosystems and biodiversity . His work integrates software-defined networking and serverless computing to enable scalable, resilient systems for real-time ecological monitoring and decision-making . Research Trends in recent articles emphasize edge-to-cloud virtual networks (e.g., EdgeVPN.io), serverless scientific workflows (FaaSr), and ecological forecasting systems (FLARE) applied to water quality and climate change mitigation . His work bridges computer systems with natural sciences to address societal challenges. Scientific Awards include: 2017 University of Florida Term Professorship 2012 ACM HPDC Symposium Best Paper of 1992-2012 2008 WETICE and ACM HPDC Best Paper Awards 2007 IBM Faculty Award 2000 Maria Canto Neuberger Award (Purdue) Advising and Grants : Actively recruits students with expertise in computer systems , Linux , cloud platforms , and open-source development . His career includes over 50 funded projects as PI/Co-PI/senior personnel from NSF , Intel , IBM , NOAA , DOE , and NASA , including the NSF CI-Elements award for EdgeVPN development and iDigBio collaborations. Labs and Teams : Leads the HiPCastor research group at Oregon State University, focusing on systems and HPC for serverless computing , distributed systems , and emerging applications in environmental sciences. His team develops open-source tools like EdgeVPN and FaaSr , with emphasis on real-world impact and interdisciplinary collaboration .

Martin BergView profile

Professor

• Digital Sociology
• Critical Studies of Emerging Technologies
• Digital Ethnography
• +3 more

Martin Berg is a Professor of Media Technology and Associate Professor of Sociology at Malmö University's Faculty of Technology and Society, Department of Computer Science and Media Technology. He also serves as an adjunct research professor in design at Monash University's Emerging Technologies Research Lab and FUTURES Hub in Melbourne, Australia. His research focuses on digital sociology , particularly critical analyses of emerging technologies and digital ethnographies. Key areas include automated futures, sociotechnical systems, and public sector automation. He leads the Digital Work Futures Research Lab , exploring digitalization impacts in creative industries and AI-infused platforms. Recent work includes frameworks for navigating automated futures and studies on 'duct-tape solutionism' in public sector automation. Berg has co-edited the De Gruyter Handbook of Automated Futures , emphasizing co-creation and interdisciplinary approaches to automation governance. His research bridges social sciences, design, and technology, advocating for engaged futures research.

• Biomanufacturing
• Continuous Bioprocessing
• Downstream Processing
• +4 more

Dr. Lukas Gerstweiler is a Lecturer in the School of Chemical Engineering at the University of Adelaide, within the Faculty of Sciences, Engineering and Technology. His research focuses on advancing biomanufacturing processes, particularly continuous bioprocessing, downstream purification techniques, and virus-like particle (VLP) technology. He explores novel chromatography methods using porous co-polymers and mechanistic modeling to optimize biomolecule separation. His work aims to enhance efficiency in producing biotherapeutics, recombinant proteins, and vaccines. Dr. Gerstweiler’s research group emphasizes interdisciplinary approaches combining engineering, biology, and computational sciences. Key areas include VLP-based vaccine platforms for emerging pathogens and process intensification strategies for cost-effective biomanufacturing. He actively supervises research students in Masters and PhD programs, fostering innovation in sustainable protein production and healthcare solutions. His publications highlight contributions to VLP stability analysis, chromatography optimization, and continuous manufacturing systems. Collaborations are sought to address global health challenges through transformative biomanufacturing technologies.

• Artificial Intelligence
• Data Science
• Operations Research
• +7 more

Wang Hai is an Associate Professor at the School of Computing and Information Systems (SCIS) at Singapore Management University (SMU) and a Visiting Professor at Carnegie Mellon University's Heinz College. His research focuses on data-driven optimization, smart cities, and transportation systems. He holds a PhD in Operations Research from MIT (2015). He has received multiple accolades, including being named a World's Top 1% Scientist (2024), Best Paper Awards in transportation science, and Singapore's Lee Kong Chian Fellowship. His work spans over 50 peer-reviewed articles in journals like Transportation Research Part B , Manufacturing and Service Operations Management , and Transportation Science . Wang has led significant grants totaling over $5M, including projects on AI-driven resource optimization and urban logistics sustainability. He advises students like YANG Jingfeng and Rajiv Ranjan KUMAR. His teaching includes courses on Smart City Operations Research (7.00/7.00 student evaluations) and Decision Making Under Uncertainty. He serves as an Associate Editor for Transportation Science , IISE Transactions , and Service Science . His research bridges urban systems, operations research, and policy, with industry collaborations at Meituan, Didi Chuxing, and Changi Airport Group.

Cihan H. DagliView profile

Professor

• Systems Engineering
• Cyber-Physical Systems
• Machine Learning
• +7 more

Cihan H. Dagli is a Professor of Systems Engineering and Engineering Management at Missouri University of Science and Technology (Missouri S&T). He is the founder of the Systems Engineering Graduate Program at Missouri S&T and directs the Smart Engineering Systems Lab (SESL). He serves as a Senior Investigator in the DoD Systems Engineering Research Center-URAC. His academic journey includes a Ph.D. in Applied Operations Research from the University of Birmingham (UK), with early work on water resource systems and evolving into systems engineering, cyber-physical systems, and machine learning. Research interests span systems architecting, computational intelligence, and deep learning applications in complex systems such as transportation, energy, and healthcare. He has secured over $25 million in grants, including a $10M DoD grant for the Systems Engineering Research Center-UARC. With 450+ publications and an h-index of 31, he is a Fellow of INCOSE (2008), IIE (2009), and IFPR (2019). He chairs the Complex Adaptive Systems conference series and advises over 35 PhD students across Engineering Management, Computer Science, and Systems Engineering. Recent work focuses on AI-driven kidney transplant optimization, meta-architectures for cyber-physical systems, and system-of-systems resilience. His educational contributions include developing the SEEE portal for systems engineering education and pioneering courses like Advanced Neural Networks and Complex System Modeling. Education: Ph.D., Applied Operations Research, University of Birmingham, UK (1979) Key Roles: Director of SESL, INCOSE Fellow, Omega Alpha Society Board Chairman Scientific Awards: Fellow of INCOSE (2008) Fellow of IIE (2009) Fellow of IFPR (2019) Member of Omega Alpha Association (2013) Advising and Grants: Advised 26 Engineering Management, 1 Computer Science, and 9 Systems Engineering PhD students Total grants: $25M+ from federal, industrial, and academic sources Labs/Teams: Smart Engineering Systems Lab (SESL) DoD Systems Engineering Research Center-URAC Complex Adaptive Systems conference organizer

Rhonda N. McEwenView profile

Professor

• Social Media
• Human-Computer Interaction
• Mobile Communication
• +10 more

Rhonda N. McEwen is a Professor at the University of Toronto's Faculty of Information and the Institute of Communication, Culture, Information and Technology (ICCIT). Her work bridges Social and new media Human-machine communication Mobile learning and cognition Special education technology domains. With a PhD in Information (University of Toronto), MSc in Telecommunications (University of Colorado), and MBA in Information Technology (City University, London), she combines technical and social science perspectives. Her research focuses on Emerging media and cognitive informatics Eye-gaze systems for communication Virtual reality perception studies Autism and technology Human-robot trust dynamics . She holds a Canada Research Chair in Emerging Media and Communication, and her work has been featured by 60 Minutes (USA/Australia) and Toronto Star . Recent publications explore VR-based gene regulation simulations and mobile device impacts on education . Notably, her team's eye-gaze technology research (2021) demonstrates how these systems enable communication for children with complex needs. She actively mentors graduate students in projects ranging from home companion robots to mobile communication in autism education .