جست‌وجوی استاد و پژوهشگر

Tsvetan Nedkovمشاهده پروفایل

دانشیار

• Cinematography
• Digital Film Technology
• Visual Effects
• +۲ مورد دیگر

Assoc. Prof. Dr. Tsvetan Nedkov serves as faculty at the National Academy of Theatre and Film Arts "Krustyu Sarafov", holding position in the Department of Pre-Production and Production within the Faculty of Screen Arts. His dual career spans active cinematography practice and academic instruction since 2003. Research focuses on digital transformation in cinematography, with expertise in computer-aided film production, visual effects integration, and media convergence. His work bridges traditional cinematography with emerging technologies, particularly examining how digital tools reshape cinematic aesthetics and production workflows. Publications reveal consistent exploration of computer-age cinematography since the late 1990s, with articles in "Problems of Art" journal and presentations at Bulgarian Academy of Sciences conferences. His research trajectory shows progression from technical implementation to broader media convergence theories. "Bronze Knight" and special jury award for "The Wind of the Naked Moon" (2004) Grand Prize of Association of Cinematographers (2004) National Film Center Award (2004) 14 major cinematography awards spanning 1994-2004 Professional activities include membership in the Academic 21 Association of habilitated screen arts teachers and service on juries for international festivals including "Golden Chest". Technical expertise encompasses extreme-condition cinematography (aerial, mountain, rock) and mastery of film/video formats from 16mm to HDTV.

• Computer Networks
• Telecommunications
• Machine Learning
• +۴ مورد دیگر

Živko Bojović is affiliated with Singidunum University, holding a doctoral degree in Telecommunications and Signal Processing from the University of Novi Sad. His career includes roles as an engineer and manager in telecommunications companies like Telekom Srbija and PTT Serbia. He has extensive experience in academic publishing, with monographs on network technologies and textbooks on software-defined networking (SDN) and IoT applications. His research focuses on cybersecurity, machine learning applications in healthcare, smart government systems, and network virtualization. Education: PhD in Telecommunications (2011), Postgraduate studies in Telecommunications (2000-2001), Bachelor’s in Electronics with Telecommunications (1986-1992). He also completed high school in Peć with a mathematical focus. Research Interests: He explores advanced networking technologies including SDN, 5G/6G networks, IoT security, and educational technology innovations. His work bridges theoretical advancements with practical implementations in healthcare diagnostics and public sector digitization. Recent studies include applying machine learning to predict thrombosis and thyroid cancer metastasis, reflecting his interdisciplinary approach. His articles collectively highlight trends in smart systems (e.g., government services, energy grids) and network security, with frequent contributions to journals like Computer Applications in Engineering Education and Journal of Network and Systems Management . The Wiley Top Cited Article award (2020-2021) recognizes his impactful work on rapid transition to distance learning during crises. Prof. Bojović holds IEEE membership and sits on editorial boards for journals like Inventi Impact: Software Engineering . He actively participates in EU Horizon projects focusing on 6G privacy and smart city analytics.

• Digital Platforms
• Business Data Visualization
• Digital Games
• +۵ مورد دیگر

Hong Guo is a Professor of Information Systems at the W. P. Carey School of Business, Arizona State University. Her research focuses on emerging IT phenomena, including digital platforms, business data visualization, algorithmic interpretability, and net neutrality. She examines IT policy impacts and firm strategies in these domains. Education: Ph.D. in Business Administration from the University of Florida (2009). She consistently teaches CIS 541: Business Data Visualization across multiple graduate programs at ASU. Research Interests: Hong explores digital platforms' design features, strategies for firms leveraging these platforms, and policy implications. Key areas include social media influence on electoral competition, algorithmic transparency frameworks, and disaster management system interoperability. Her work bridges technical IT systems with socioeconomic impacts. Recent Research Trends: Recent articles address marketplace analytics economics, coalition formation in critical IT infrastructure, and social media's role in political dynamics. Ongoing focus areas include data neutrality frameworks, virtual currency in gaming, and retail clusters in developing economies. Teaching and Advising: While no specific advisees or grants are listed, she has taught Business Data Visualization courses consistently since at least 2013. Her pedagogical focus aligns with her research on visualization and digital systems. Labs/Teams: No specific labs mentioned, but her research collaborations likely involve cross-disciplinary teams addressing IT policy, digital platform governance, and crisis management systems.

Muhammed-Ugur Karagülleمشاهده پروفایل

پژوهشگر

• Medical Informatics
• AI in Healthcare
• Mobile Health (mHealth)
• +۳ مورد دیگر

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
• +۷ مورد دیگر

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 Hockenhullمشاهده پروفایل

استادیار

• Science and Technology Studies (STS)
• Ethnography
• Data Visualization
• +۹ مورد دیگر

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'Ippolitoمشاهده پروفایل

استاد

• Strategic Management
• Innovation Management
• Inter-firm Collaborations
• +۴ مورد دیگر

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
• +۷ مورد دیگر

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. Parsaeiمشاهده پروفایل

استاد

• Manufacturing Systems Design
• Additive Manufacturing
• Economic Decision Making
• +۳ مورد دیگر

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 Culottaمشاهده پروفایل

استاد

• Natural Language Processing
• Social Network Analysis
• Artificial Intelligence
• +۹ مورد دیگر

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 Marraمشاهده پروفایل

استاد

• Technology-Enhanced Learning Environments
• STEM Education
• Online Learning Strategies
• +۳ مورد دیگر

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 Krausslمشاهده پروفایل

مدرس ارشد

• Digital Transformation in Finance
• Innovation in Finance
• Data as an Emerging Asset Class
• +۳ مورد دیگر

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. Figueiredoمشاهده پروفایل

استاد

• Distributed Systems
• Cyberinfrastructure
• Resource Virtualization
• +۷ مورد دیگر

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 Bergمشاهده پروفایل

استاد

• Digital Sociology
• Critical Studies of Emerging Technologies
• Digital Ethnography
• +۳ مورد دیگر

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
• +۴ مورد دیگر

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.