Find Academic Supervisors

• Stem Cell Biology
• Cardiovascular Medicine
• Tissue Engineering
• +5 more

Yibing Qyang is a Professor of Medicine (Cardiovascular Medicine) at Yale University School of Medicine (YSM), affiliated with the Department of Internal Medicine. He serves as Director of the Yale Stem Cell Research Forum since 2010. His expertise spans stem cell biology, cardiovascular disease modeling, and regenerative medicine. Qyang holds a B.S. from Nanjing University, an M.S. from Chinese Academy of Sciences, and a Ph.D. from the University of Texas M.D. Anderson Cancer Center. He completed postdoctoral training at UC San Diego and Harvard Medical School. Research Interests: The Qyang Lab focuses on engineering vascular tissues using induced pluripotent stem cells (iPSCs), elucidating cardiovascular disease mechanisms, and developing therapeutic strategies. Key areas include: Vascular tissue engineering for graft development Stem cell-derived models of diseases like supravalvular aortic stenosis Cardiac progenitor cell therapies for heart repair Biomechanical signaling in hypertrophic cardiomyopathy Preclinical porcine models for translational research Key Achievements: Developed immunocompatible 'universal donor' vascular grafts using CRISPR-engineered iPSCs Pioneered iPSC-derived vascular smooth muscle and endothelial cells for tissue engineering Identified elastin-based therapies for supravalvular aortic stenosis Grants & Awards: Connecticut Stem Cell Program Established Investigator Awards (2011, 2015) ISSCR Membership (2007–Present) Highlighted in Yale News for groundbreaking discoveries in heart disease and vascular grafts Lab Team & Collaborations: The lab includes researchers and students from institutions worldwide, with collaborations at Harvard, UCSD, and Yale’s Cardiovascular Research Center. Projects span iPSC differentiation, biomechanical modeling, and preclinical trials. Future Directions: Expanding studies on universal donor grafts, cardiac tissue engineering, and clinical translation of iPSC-derived therapies.

Donald WlodkowicView profile

Professor

• Aquatic Ecotoxicology
• Behavioral Ecotoxicology
• Eco-Neurotoxicology
• +7 more

Professor Donald Wlodkowic is a faculty member at RMIT University's School of Science (Biosciences), leading the Neurotox Laboratory. His research focuses on aquatic ecotoxicology, behavioral ecotoxicology, and eco-neurotoxicology, with expertise in neurotoxins, industrial pollutants, and neuroactive drugs' effects on central nervous systems. He innovates biomicrofluidic technologies and digital video-based analysis for high-throughput behavioral studies in toxicology. Research Interests: Aquatic toxicology, neurotoxicology, water quality, and eco-neurotoxicology. His lab develops real-time biomonitoring systems and early-warning tools for water quality assessment. Current projects include neurotoxicity studies of pollutants, high-throughput behavioral assays, and embryo-based risk assessment. Teaching: Coordinates courses in cell biology, biochemistry (BIOL2146/2333/2420, PROC2048) and supervises honors projects (ONPS2313). He integrates digital tools into bioscience curricula for innovative teaching. Advising & Leadership: Supervises Masters and PhD students in projects such as 'Emerging Pollutants on Aquatic Animal Behavior' and 'Nanotoxicology.' He has led international academic-industry collaborations in Australia, New Zealand, and Europe, fostering motivated research teams. Labs & Teams: NeuroTox Lab pioneers interdisciplinary research in ecotoxicology and neurotoxicology, combining microfluidics, digital analytics, and behavioral assays to address environmental and health challenges.

Michel LeseureView profile

Senior Lecturer

• Evolution of Technical Systems
• Cladistics in Manufacturing
• Engineering Economy
• +6 more

Michel Leseure serves as a Senior Lecturer in Mechanical Engineering within the School of Electrical and Mechanical Engineering at the University of Portsmouth, where he is affiliated with the Centre for Operational Research and Logistics and Centre of Operational Research and Decision Analysis. As an active PhD Supervisor accepting new doctoral candidates, he contributes to both academic instruction and research supervision in technology-focused programs. His research centers on evolutionary analysis of technical systems, notably applying cladistics (a biological classification method) to manufacturing systems. Additional expertise spans engineering economy, real options theory, and scenario analysis, with recent expansion into sustainable operations management, microgrid optimization, and renewable energy integration. His work bridges industrial engineering with environmental sustainability through lean methodologies and strategic decision frameworks. Analysis of his 2023-2025 publications reveals dominant themes in collaborative microgrid systems, where he pioneers approaches to mitigate renewable energy volatility using lean-heijunka strategies and precontracted order mechanisms. His research consistently addresses supply chain resilience, policy impacts on manufacturing investment, and sustainability-performance trade-offs across energy and industrial sectors. Leseure actively mentors doctoral researchers through the Centre for Operational Research and Logistics, focusing on operational decision-making in energy systems and sustainable manufacturing. His collaborative projects frequently involve international researchers, particularly with H. Feleafel and J. Radulovic, examining microgrid economics and supply chain adaptability under turbulent conditions.

Rongxing LuView profile

Adjunct Professor

• Applied Cryptography
• Privacy Enhancing Technologies
• IoT Security
• +4 more

Rongxing Lu is an Adjunct Professor at the Faculty of Computer Science, University of New Brunswick (UNB), Canada, since August 2016. Previously, he held positions at Nanyang Technological University (NTU), Singapore (2012–2016) and the University of Waterloo, Canada (PhD in 2012). His research focuses on applied cryptography, privacy enhancing technologies, and IoT-big data security. He has over 7,500 citations and received prestigious awards like the Governor General’s Gold Medal (2012) and the IEEE ComSoc Asia Pacific Outstanding Young Researcher Award (2013). He is an IEEE senior member and serves on editorial boards of journals like IEEE Network. **Education**: PhD in Electrical & Computer Engineering, University of Waterloo (2012), awarded Governor General’s Gold Medal Postdoctoral Fellow at University of Waterloo (2012–2013) **Research Interests**: Developing cryptographic protocols for IoT and big data systems Privacy-preserving techniques for distributed systems Secure communication in 5G/6G networks and vehicular systems **Awards and Recognition**: Recipient of multiple best paper awards in IEEE conferences 2016–2017 Excellence in Teaching Award at UNB **Editorial and Leadership Roles**: Symposium co-chair at IEEE Globecom’16 Secretary of IEEE ComSoc CIS-TC Organized special issues on fog computing security (Elsevier) and big data security (IEEE IoT Journal) **Key Contributions**: Pioneered privacy-aware data reporting schemes for vehicular networks Designed lightweight IoT authentication protocols Advanced secure machine learning frameworks with privacy guarantees

Lauren GorfinkelView profile

Senior Lecturer

• Organisational Communication
• Cultural and Linguistic Diversity
• Media Analysis
• +5 more

Lauren Gorfinkel is a Senior Lecturer at Macquarie University's School of Communication, Society and Culture. She specializes in organizational communication, cultural diversity, and media analysis with a focus on multicultural health communication, AI in education, and Chinese media studies. Her research explores multicultural school-family engagement, government communication strategies during crises like the pandemic, and representations of cultural diversity in media. Her academic background includes over a decade examining identity construction in Chinese music-entertainment television and intercultural approaches to language teaching. She holds qualifications in nutrition and health coaching, integrating these into her work on health communication and multicultural community engagement. Notable projects include the Language Inclusion Index (LI-Index) for multilingual Australia and studies on multicultural school communication. She collaborates widely, e.g., in the Multilingualism Research Centre (2019–2022) and the HIA project on plant food bioactives (2024–2029). Gorfinkel supervises HDR students in areas like cultural diversity, health communications, and media representation. She actively engages with public discourse through peer-reviewed articles and book chapters on topics ranging from generative AI in education to social media strategies in schools.

Seongkyoon JeongView profile

Assistant Professor

• Digital Supply Chain
• Cybersecurity
• Sustainable Operations
• +3 more

Seongkyoon Jeong is an Assistant Professor of Supply Chain Management at the Haslam College of Business , University of Tennessee, Knoxville. His research addresses contemporary challenges in digital supply chains, cybersecurity risks, and sustainable operations. PhD (2022) - Supply Chain Management, Arizona State University MSc (2016) - Management, Georgia Institute of Technology MSc (2009) - Technology Management, Economics and Policy, Seoul National University BSc (2007) - Naval Architecture and Ocean Engineering, Seoul National University Jeong's work bridges supply chain security and sustainability , with recent publications examining cyberattack dynamics , epidemic-driven demand , and technology convergence . His 2018-2025 publications reveal a trajectory from R&D collaboration to digital transformation in supply chains. Scientific Awards Jack Meredith Best Paper Honorable Mention (JOM 2023) Arizona State University Outstanding Research Award (2022) Korea Management Association Consulting Excellence Award (2018) KIPO Director's Research Award (2016) Korea Institute for Industrial Economics and Trade Best Project (2013) Korea Inno-Skill Grand Prize (2010) Previously at Korea Institute of Machinery and Materials, Jeong contributed to interorganizational R&D before focusing on supply chain dynamics. His media contributions to Supply Chain Management Review and Supply Chain Dive highlight global cybersecurity risks and semiconductor production challenges .

• Seismology
• Marine geophysics
• Lithosphere-asthenosphere boundary
• +4 more

Dr. Catherine Rychert is an Associate Professor in the Department of Geology and Geophysics at the University of Southampton, where she conducts cutting-edge research in seismology and marine geophysics. She is a member of both the Geology and Geophysics research group and the Southampton Marine and Maritime Institute, contributing significantly to our understanding of Earth's interior structure and dynamics through advanced seismic imaging techniques. Her research focuses on several key areas: Seismic imaging of lithosphere-asthenosphere boundary Subduction zone dynamics and slab structure Continental rifting processes Seafloor spreading mechanisms Mantle flow patterns and upwellings Development of novel seismic sensing technologies Dr. Rychert's recent publications (2023-2025) demonstrate a strong focus on applying advanced seismic techniques across diverse tectonic settings including subduction zones (Lesser Antilles, Cascadia, Hikurangi), mid-ocean ridges (Mid-Atlantic Ridge), and continental rift systems (East African Rift). A notable trend is her increasing use of distributed acoustic sensing technology for both terrestrial and planetary applications, showing interdisciplinary reach beyond traditional Earth science. Dr. Rychert actively supervises PhD students, including William Arnold Buffett working on the INSPIRE project. She has secured significant research funding from diverse sources including the European Union (EURO-LAB project), National Geographic Society, and Natural Environment Research Council (NERC). Her collaborative network includes Dr. Nicholas Harmon and Professor Derek Keir, with whom she frequently publishes. Her research team conducts fieldwork and data analysis focused on understanding fundamental Earth structure and processes through innovative seismic methodologies, contributing to both theoretical understanding and practical applications in hazard assessment and resource exploration.

• Seismology
• Earthquake Early Warning
• Real-Time Seismic Monitoring
• +4 more

Dr. Maren Boese is a Senior Research Scientist at the Swiss Seismological Service (SED) and Seismology and Geodynamics (SEG) groups at ETH Zurich. Her expertise spans seismology, earthquake early warning systems, and planetary seismology. She leads projects like the CISN ShakeAlert system for California and contributed to NASA's InSight mission to Mars. She earned her Ph.D. from Karlsruhe Institute of Technology (2006) and a Master's from Kiel University (2002). Research Focus: Real-time seismic event detection, finite-fault rupture analysis, ground-motion simulation, and Marsquake seismology. Key contributions include developing the FinDer algorithm for the ShakeAlert system and advancing early warning methodologies in Central America and Switzerland. Awards: 2011: Outstanding Publication Award (Luxembourg National Research Fund) 2010: Ausgewählter Ort im Land der Ideen (BMBF Project EWS Transport) 2006: European IST Prize (Early Warning for Strong Earthquakes) Grants & Leadership: Led the CISN ShakeAlert team (2009–2014), managed the German CRC 461 project, and coordinated international collaborations like the InSight Marsquake Service. Labs/Teams: Swiss Seismological Service (ETH Zurich), NASA InSight Mission, and the CHEAP smartphone network project in Chile.

Kate Palmer AlbersView profile

Associate Professor

• Contemporary Art and Visual Culture
• Visual Experience of Social Media
• Visual Activism
• +6 more

Kate Palmer Albers serves as Associate Professor of Art History in the Department of Art & Visual Studies at Whittier College, where she teaches courses on photography history, visual culture, new media, and contemporary art. Her academic work centers on the dynamic relationship between emerging technologies and visual representation within networked societies. Her educational foundation includes a B.A. from Colorado College, M.A. from the University of California, Riverside, and Ph.D. from Boston University. Professor Albers' research investigates contemporary visual culture through multiple interconnected lenses: the ephemerality of digital photography, visual activism in social media ecosystems, gender and racial representation in institutional spaces, and the politics of public monuments. She examines how algorithmic systems reshape personal archives, collective memory, and artistic practice while maintaining critical focus on accessibility and equity in cultural representation. Her scholarship bridges historical photographic practices with cutting-edge digital phenomena including multi-gigapixel imaging, virtual reality, and data visualization. Her recent publications reveal consistent thematic threads exploring photography's transformation in the digital age, particularly how networked technologies create new forms of visibility and erasure. These works examine algorithmic vision systems, archival preservation challenges, and the circulation of images across physical and digital realms, often highlighting tensions between democratic access and technological control. Her notable recognition includes: Arts Writers Grant (2015) from Creative Capital/Warhol Foundation supporting her digital project Circulation/Exchange: Moving Images in Contemporary Art Professor Albers actively mentors students through course instruction while developing innovative public scholarship. Her current research portfolio includes a fictional adaptation of The Night Albums , analytical essays on challenging image circulation, and pioneering work documenting transgender representations in photographic history. She maintains active engagement with digital humanities methodologies and public-facing academic writing.

Karthik DantuView profile

Associate Professor

• Mobile Sensor Networks
• Robot Networks
• Networked Embedded Systems
• +8 more

Karthik Dantu is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York, within the School of Engineering and Applied Sciences. His research focuses on mobile sensor networks, robot networks, networked embedded systems, mobile computing, wireless networks, and embedded operating systems. He leads the Distributed Robotics and Networked Embedded Sensing (DRONES) Lab and has received significant funding including an NSF CAREER Award. Dr. Dantu's educational background includes: PhD in Computer Science from University of Southern California (2009) BE in Computer Science from Sri Jayachamarajendra College of Engineering (1999) His research interests center on algorithmic and systems challenges in Edge Computing Systems, with particular focus on enabling seamless vision sensing in cloud-edge environments. Dantu's work bridges mobile systems and robotics, developing novel approaches for UAV software, visual SLAM, and distributed sensing. His research addresses critical challenges in resource-constrained environments, security, and real-time performance for mobile and robotic systems, with emphasis on practical implementations that solve real-world problems in autonomous systems. Dr. Dantu's publication record shows a strong trajectory in mobile systems and robotics research, with increasing focus on edge computing applications for visual sensing. His recent work demonstrates expertise in adapting visual SLAM to edge environments, securing mobile systems through technologies like Rushmore, and developing novel approaches for UAV software reliability and depth sensing. The research spans theoretical algorithms and practical system implementations, with particular strength in bringing academic research to practical applications in robotics and mobile computing. Dr. Dantu has received several scientific honors: NSF CAREER Award on Enabling Seamless Vision Sensing in Cloud-Edge Systems Outstanding service award from the Office of International Services NSF Travel Grant for SenSys 2005 Conference Travel Grant for SIGCOMM 2002 As an advisor, Dr. Dantu has mentored numerous PhD students to completion, with graduates now working at companies like Samsung Research and Zoox Inc., or continuing academic careers as Assistant Professors. His research is supported by substantial grants including a DARPA OFFSET Sprint 4 award ($470k), an NSF CAREER award ($550k), and multiple NSF collaborative grants totaling over $1.5 million. He serves on numerous conference committees including Mobicom, MobiSys, and ICRA, demonstrating leadership in the mobile systems and robotics research communities. Dr. Dantu leads the Distributed Robotics and Networked Embedded Sensing (DRONES) Lab at UB, which focuses on developing algorithms and systems for mobile sensor networks, robot networks, and embedded sensing applications. The lab's work spans theoretical foundations to practical implementations, with particular expertise in UAV systems, visual SLAM, and edge computing for robotics, maintaining strong collaborations with industry partners and other academic institutions to advance the state of the art in mobile and robotic systems.

Denise MilsteinView profile

Senior Lecturer

• Environmental Sociology
• Qualitative Methods
• Art and Politics
• +5 more

Denise Milstein serves as MA Program Director and Senior Lecturer in the Department of Sociology at Columbia University. She is affiliated with INCITE and the Institute for Latin American Studies at Columbia, and is a member of the Ensayos collective based in Tierra del Fuego. Milstein co-directs the NYC COVID-19 Oral History, Narrative and Memory Archive and edits the 'Dispatches from the Field' series publishing ethnographic data. Her research develops a relational, historically grounded perspective at the intersection of art and politics, culture and environment. Milstein examines urban imaginaries through music, repression's impact on artistic careers, political engagement with counter-culture, and artistic innovation. Her current projects investigate urban dwellers' access to nature in New York City public spaces, interactions with near-obsolete technologies in cultural production, and building a narrative archive of New Yorkers' pandemic experiences. She explores how structural limitations in political and environmental crises foster innovation, cultural shifts, and social change. Milstein's scholarly work connects environmental sustainability, interdisciplinary collaboration, and participatory action research. Her publications demonstrate expertise in qualitative methods while bridging sociology, art, and environmental studies. As editor of 'Dispatches from the Field,' she promotes timely dissemination of ethnographic research. As MA Program Director, Milstein oversees sociology graduate education at Columbia. Her work with the Ensayos collective involves research, writing, and performance practices interweaving art, social science, and environmental research. The NYC COVID-19 Oral History project represents her commitment to documenting contemporary social experiences through narrative and memory.

Jung Hyup KimView profile

Associate Professor

• Ergonomics
• Human Factors
• Human-Computer Interaction
• +12 more

Jung Hyup Kim is an Associate Professor in the Department of Industrial and Systems Engineering at the University of Missouri, College of Engineering. His research integrates human factors, ergonomics, and augmented reality to enhance engineering education and healthcare systems. He leads the Human Factors Lab and is actively involved in curriculum innovation through immersive technologies. Education: PhD, Pennsylvania State University BS, Mississippi State University Dr. Kim’s research centers on ergonomics, human-computer interaction, and real-time human performance modeling . He investigates how eye-tracking, motion analysis, and augmented reality can be used to assess workload, situation awareness, and learning effectiveness in real-world environments. His work bridges engineering systems with cognitive science, particularly in educational and healthcare contexts. His recent research, reflected in 15 reconstructed articles, demonstrates a strong trend toward augmented reality in engineering education , with focus areas including real-time motion tracking, eye-tracking for attention monitoring, metacognition in virtual instruction, and posture-based physical demand assessment. These efforts aim to transform traditional lab experiences into interactive, data-driven learning environments. Scientific Awards: No awards explicitly mentioned in the text. Dr. Kim has secured research funding from the National Science Foundation (NSF) , the National Institutes of Health (NIH) , and corporate sponsors such as Honeywell and Missouri Employers Mutual . He advises students like RJ Morrison and Madeline Easley, who have presented at national conferences and won research competitions. His lab develops AR-based teaching modules that assess student engagement and comprehension through biometric and behavioral data. His lab, the Human Factors Lab ( humanfactorslab.net ), is developing a new AR-integrated facility in Lafferre Hall with stations for interactive learning, real-time feedback, and performance testing. The lab aims to create scalable AR systems applicable across Mizzou Engineering disciplines.

Rachel Devorah Wood RomeView profile

Assistant Professor

• Electronic Music
• Creative Coding
• Live Coding
• +12 more

Rachel Devorah Wood Rome is an Assistant Professor in the Electronic Production and Design (EPD) department at Berklee College of Music, where she teaches creative coding, live coding, and music technology. Her work bridges electronic music, improvisation, and critical theory, with a focus on sonic cyberfeminism, archival practices, and the social meanings of sound and space. Ph.D. in Music Composition and Computer Technologies, University of Virginia (2018) M.L.I.S., San José State University (2017) M.A. in Music Composition, Mills College (2013) B.Mus. in Horn Performance, CUNY Queens College (2007) Her research explores superhuman prolongation, opaque complexity, and the re-signification of archaic tools in sonic media. She values machines for their patience and memory, and her creative practice emphasizes critical agency in technology design and use. She performs under the name 'mehetabel' when using archival materials in improvised electronic music. The most recent publications and performances reflect a deep engagement with AI and music, live coding, feminist media theory, and spatialized sound. Her works often involve real-time data processing, generative systems, and collaborative improvisation, situating sound within broader social, political, and technological contexts. Ruth Anderson Installation Prize (IAWM) New Music USA Grant Fellowships from MIT OpenDocLab, Adrian Piper Foundation, Ina GRM, New Museum, and Jefferson Scholars Foundation Residencies at EMS Stockholm, STEIM Amsterdam, MassMoCA, and Cove Park Rome advises emerging artists in electronic music and creative coding, many of whom have gone on to establish their own practices. She is also active in academic service, including curriculum development, faculty governance, and labor organizing as a Councilor for the Berklee Faculty Union. She leads initiatives in DEI, sound design, and coding pedagogy within the EPD department. She has been involved in interdisciplinary collaborations with artists, technologists, and institutions worldwide, presenting work in galleries, festivals, and academic conferences across North America, Europe, and Asia. Her leadership extends to nonprofit arts organizations, where she has served as Executive Director and grantwriter.

Chris VolinskyView profile

Clinical Professor

• Data Science
• Machine Learning
• Recommender Systems
• +12 more

Chris Volinsky is a Clinical Professor of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University, joining in September 2023. His work bridges industry-scale data science and academic research, focusing on practical applications of machine learning and statistical modeling in business contexts. Education: PhD in Statistics, University of Washington BA in Statistics and Mathematics, University of Buffalo His research interests lie at the intersection of data science and business operations, with a focus on recommender systems , personalization , social network analysis , and mitigating bias in machine learning models . He also emphasizes data visualization and the ethical implications of data usage, particularly in balancing innovation with privacy concerns and regulatory compliance. While no specific publications are listed in the provided text, his career has been defined by high-impact, real-world applications of data science, particularly in telecommunications and entertainment industries. Scientific Awards: $1M Netflix Prize (2009) as member of BellKor's Pragmatic Chaos team Volinsky has extensive experience in advising and leading data science teams. He led a team of 40 data scientists at AT&T, where he oversaw projects with significant business impact, including fraud detection, customer complaint prediction, and computer vision applications. Although formal student advising is not detailed, his leadership roles imply substantial mentorship and team development. He has not disclosed specific grants, but his work at AT&T and NYU suggests engagement with large-scale, industry-funded research initiatives. He was instrumental in pioneering work on large-scale recommender systems and continues to contribute to the evolution of data-driven decision-making in enterprise settings.

• Behavioural Finance
• Financial Data Science
• Investments
• +7 more

Yudhvir Seetharam is an Associate Professor in the School of Economics and Finance at the University of the Witwatersrand, where he teaches undergraduate and postgraduate courses in investments, risk management, fintech, and financial data science. He also supervises postgraduate students and is actively involved in research and editorial leadership. His research interests include: Behavioural Finance Financial Data Science Investor Psychology and Sentiment Analysis Fintech and Big Data in Finance Market Efficiency and Corporate Finance His recent publications (2023–2025) reflect a strong focus on textual sentiment, social media analytics, and market dynamics in emerging economies. He frequently uses alternative data sources such as Twitter, news, and Wikipedia to analyze investor behaviour and market reactions across African and global markets. His work spans journals in finance, economics, and data science, highlighting an interdisciplinary approach. Notable scientific awards and recognitions include: Mail & Guardian Top 200 Young South Africans (2017) – Business and Entrepreneurship Top 100 Most Influential Young South Africans (#59) Gauteng Premier’s Youth Service Excellence Award – Economic Development Global Top 100 Innovators in Data & Analytics (2024) Yudhvir holds several editorial positions, including Editor-in-Chief of the South African Journal of Economic and Management Sciences and Associate Editor of the Journal of Behavioral Finance (from 2025). He also serves as Chief Analytics Officer at FNB Business, blending academic insight with real-world financial innovation. He is a Fellow of the South African Institute of Financial Markets and a member of the Royal Society of South Africa. His work bridges academia and industry, with a strong emphasis on applying analytics to solve financial challenges.