Find Academic Supervisors

Amanda WatsonView profile

Assistant Professor

• Wearable Technology
• Biomedical Engineering
• Cyber-Physical Systems
• +2 more

Amanda Watson is an Assistant Professor in Electrical and Computer Engineering at the University of Virginia, with joint appointments in Computer Science. She leads the Watson Research Lab within the UVA Link Lab, a multidisciplinary center for Cyber-Physical Systems (CPS) and Internet of Medical Things (IoMT) research. Her work bridges wearable technology with healthcare and athletic performance applications, focusing on noninvasive monitoring, physiological signal analysis, and safety-critical medical devices. She is also the cofounder and CEO of Luminosity Wearables, commercializing a noninvasive continuous glucose monitor. Education: PhD in Computer Science (2020) - College of William & Mary MSc in Computer Science (2016) - College of William & Mary Bachelors in Computer Science and Mathematics (2014) - Drury University Her research spans multiple domains including: Wearable spectroscopy for nutrition and skin health Machine learning for drug overdose and fall risk detection Biomechanical monitoring in sports medicine Wearable support for visual and neurological impairments IoMT device integration and analytics Recent publications (2024-2025) show strong emphasis on calibration-free physiological monitoring systems, with technical contributions in spectral analysis , multi-wavelength sensing , and rapid prototyping for healthcare wearables. Applications range from maternal health to gerontological social isolation detection. Lab and Team: The Watson Research Lab at UVA develops wearable solutions for clinical and athletic contexts, with ongoing collaborations in the PRECISE Center at University of Pennsylvania and LENS lab at William & Mary alumni network. She works with multidisciplinary teams including engineers, clinicians, and data scientists.

Kyria Boundy-MillsView profile

Researcher

• Yeast Ecology
• Biotechnology
• Microbial Interactions
• +5 more

Kyria Boundy-Mills is a Professional Research Microbiologist at the University of California, Davis in the Department of Food Science and Technology , where she has curated the Phaff Yeast Culture Collection since 2001. She maintains this global resource of 9,000 yeast strains for academic, industrial, and governmental researchers. Current research focuses on yeast/insect ecology Screening yeasts for protein, lipid, and carotenoid production Microbial interactions in food fermentations Applications in biofuels and biotechnology Her publications highlight collaborations across entomology, biotechnology, and food microbiology, with applications in wine fermentation, fruit pests, and biofuel production. Awards include the UC Davis Academic Federation Award for Excellence in Research (2015) and the American Society for Microbiology USFCC/J. Roger Porter Award (2016). She advises undergraduate researchers in her lab and contributes to culture collection management standards through the United States Culture Collection Network. Her work intersects microbial diversity, ecological interactions, and industrial innovation.

Karim OweissView profile

Professor

• Neuroscience
• Biomedical Engineering
• Electrical Engineering
• +5 more

Karim Oweiss is a Pre-eminent Professor at the University of Florida, with joint appointments in the Department of Biomedical Engineering (Herbert Wertheim College of Engineering), Electrical and Computer Engineering, and Neuroscience (McKnight Brain Institute). He holds a Ph.D. in Electrical Engineering and Computer Science from the University of Michigan (2002). His research focuses on neural mechanisms of sensorimotor integration and the development of clinically viable brain-machine interfaces (BMIs) to restore damaged neurological function. His work spans computational neuroscience, neural decoding, optogenetics, and advanced neurotechnology, with a strong emphasis on closed-loop systems and neural plasticity. 2025 : Chemogenetic stimulation of phrenic motor output and diaphragm activity 2024 : Chemogenetic phrenic motoneuron activation enables increased tidal volume 2023 : Compressive sensing of functional connectivity maps from patterned optogenetic stimulation Oweiss has received the NSF Excellence in Neural Engineering Award (2001) and is a Senior Member of the IEEE. He has published extensively on topics including neural decoding, compressive sensing, and multiscale neural interfacing. As editor of Statistical Signal Processing for Neuroscience and Neurotechnology (2010), he has contributed significantly to the field's methodological foundations. His lab develops tools like NeuroQuest for large-scale neural data analysis and implantable neuroprocessors for wireless BMI applications.

Lucie TvrznikovaView profile

Researcher

• Atomic Physics
• Particle Physics
• Dark Matter Detection
• +3 more

Lucie Tvrznikova is a Postdoctoral Researcher at Lawrence Livermore National Laboratory, specializing in experimental particle physics and detector engineering. Her work focuses on direct dark matter detection, nuclear physics, and cyclotron radiation emission spectroscopy (CRES). She holds a Ph.D. from Yale University (2019), where her dissertation explored sub-GeV dark matter searches and electric field modeling in the LUX and LZ experiments. Her research has advanced understanding of low-mass dark matter particles, detector calibration techniques, and high-voltage behavior in liquid noble gases through projects like XeBrA and the Project 8 collaboration. Key contributions include developing methods to extend LUX's sensitivity using Bremsstrahlung and Migdal effects, creating 3D electric field models for xenon detectors, and advancing CRES technology for neutrino mass measurements. She collaborates on major experiments like LZ and the LUX-ZEPLIN initiative, addressing challenges in next-generation noble liquid detectors. Current work focuses on dielectric breakdown studies in liquid xenon, machine learning applications for data analysis, and neutrino mass measurements using Project 8's Kr and tritium systems.

Zahraa AbdallahView profile

Senior Lecturer

• Machine Learning
• Data Science
• Time Series Analysis
• +6 more

Zahraa Abdallah is a Senior Lecturer at the School of Engineering Mathematics and Technology, University of Bristol. She holds a PhD and BSc in relevant fields. Her research focuses on Machine Learning, Data Science, Time Series Analysis, and their applications in Health Informatics, Neuroscience, and Bioinformatics. She leads projects on wearable technology integration for diabetes management and EEG-based disease classification. Her work emphasizes explainable AI and multimodal approaches. Zahraa is affiliated with the Bristol Doctoral College Initiative (BDFI) as an Academic Co-Director and collaborates with experts like Prof. Raul Santos-Rodriguez. Contact: zahraa.abdallah@bristol.ac.uk | Website: zahraa-abdallah.com Research Interests: Time Series Clustering & Forecasting EEG-based Disease Detection (Parkinson’s, Alzheimer’s) Smartwatch-Driven Healthcare Systems Explainable AI in Biomedical Applications Key Projects: Development of the CSTS benchmark for time series clustering Investigating insulin needs using automated delivery data Gene essentiality classification via graph neural networks Collaborations: Professor Raul Santos-Rodriguez (BDFI) Lucia Marucci (Systems & Engineering Biology)

Barbara StruppView profile

Professor

• Developmental Psychology
• Neuropsychology
• Nutritional Neuroscience
• +4 more

Barbara Strupp is a Professor in the Department of Psychology at Cornell University, with joint affiliations to the College of Arts and Sciences and College of Human Ecology. Her research examines neurodevelopmental trajectories using rodent models and human clinical studies, focusing on nutritional interventions and environmental neurotoxins. She maintains active collaborations with Rush University Medical Center, NYU, UC Santa Cruz, and University of Illinois researchers. Her primary investigations evaluate how maternal choline supplementation during pregnancy influences cognitive development in Down syndrome models and neurotypical populations, revealing lasting improvements in attention, spatial memory, and emotional regulation. Parallel research analyzes developmental manganese exposure's neurotoxic effects on attention and motor function, demonstrating therapeutic efficacy of methylphenidate through catecholaminergic receptor modulation. Studies integrate behavioral phenotyping with neural mechanism analyses across lifespan development. Recent publication trends (2019-2025) highlight longitudinal human trials confirming choline's cognitive benefits in school-aged children, mechanistic rodent studies elucidating choline's neuroprotective pathways in Down syndrome models, and neuropharmacological interventions counteracting manganese-induced deficits. Research consistently bridges nutritional science, neurotoxicology, and developmental disorder therapeutics.

Yanchong Karen ZhengView profile

Associate Professor

• Smallholder supply chains
• Supply chain transparency
• Environmentally and socially responsible operations
• +3 more

Yanchong Karen Zheng is the George M. Bunker Associate Professor of Operations Management at MIT Sloan School of Management. She holds a PhD from Stanford University and degrees from Tsinghua University. Her research focuses on supply chain transparency, smallholder agriculture, and socially responsible operations, employing field-based methods to design implementable solutions. Collaborations include projects with the Karnataka government on agricultural platforms and Fair Trade USA on sustainability. Education: PhD in Management Science & Engineering (Stanford), BS/MS in Automation (Tsinghua). Key research areas include smallholder supply chains in developing countries, environmental responsibility, and behavioral operations. Recent work addresses auction design for farmers’ income improvement and regulatory transparency in China’s food industry. She has won awards such as the NSF Award and MSOM Award, and teaches courses like Operations Strategy and Behavioral Decision Theories.

Ezra W. Zuckerman SivanView profile

Professor

• Economic Sociology
• Strategic Management
• Organizational Behavior
• +3 more

Ezra W. Zuckerman Sivan is the Alvin J. Siteman (1948) Professor of Strategy and Entrepreneurship at the MIT Sloan School of Management, where he also co-founded the PhD Program in Economic Sociology. He holds a BA in Political Science from Columbia University and an MA and PhD in Sociology from the University of Chicago. His research bridges economic sociology and management, focusing on how social processes shape business dynamics and vice versa. Key themes include categorical structures in markets, legitimacy work, and the interplay between strategy and social identity. Notable contributions address elite cultural consumption, market entry authenticity, and partisan moral flexibility in politics. Zuckerman Sivan teaches competitive/technology strategy at the master’s and executive levels, alongside doctoral courses in 'Sociology of Strategy' and 'Identity and Action.' His work has been recognized with the ASA Award, reflecting his impact on sociological and business scholarship. Education: BA in Political Science, Columbia University MA and PhD in Sociology, University of Chicago Executive Education: Developing and Managing a Successful Technology Strategy (multiple dates) Recent research trends highlight his exploration of political misinformation, market legitimacy, and reciprocal behavior in groups. His publications span sociology, management, and interdisciplinary journals, emphasizing both theoretical rigor and practical managerial insights.

• Computational Biology
• Molecular Biology
• Cell Biology
• +5 more

Roy Wollman is a Professor at the University of California, Los Angeles (UCLA) in both the Department of Integrative Biology and Physiology and the Department of Chemistry and Biochemistry within the College of Letters and Science. His work bridges experimental and computational approaches to study dynamic signaling networks and their impact on cellular decisions. Research Focus: Computational and systems biology of signaling pathways Key Techniques: Single-cell analysis, spatial transcriptomics, quantitative modeling Major Themes: Information transmission in biochemical networks, cellular decision-making, epigenetic regulation Recent work has emphasized spatial transcriptomics mapping of brain regions, wound response signaling, and multi-scale analysis from cell biology to physiology. His lab has developed computational tools like scPNMF for gene selection and JSTA for cell segmentation and annotation. Key findings include mechanisms of TNF-induced cell death tradeoffs and laminin scarring effects in stem cell function. Roy Wollman has received continuous NIH funding since 2009, including grants for studying NFκB dynamics (R01GM117134), corneal wound signaling (R01EY024960), and single-cell technologies for traumatic brain injury (R01NS117148). His research combines high-throughput microscopy with computational modeling to understand how cells process dynamic signals.

Patrick KluthView profile

Professor

• Ion Beam Modification of Materials
• Solid-State Nanopores
• Synchrotron Radiation Techniques
• +4 more

Patrick Kluth is a Professor at the Research School of Physics, Australian National University, leading a research group focused on swift heavy ion-modified materials and nanopore technology. His work bridges materials science, physics, and biomedical applications. Education : Dipl. Phys. from Düsseldorf, Germany; PhD in Physics from RWTH Aachen, Germany (2002, summa cum laude). Research Interests center on: Ion track technology for solid-state nanopore fabrication Advanced materials characterization (SAXS, X-ray absorption spectroscopy) Defect engineering in semiconductors and superconductors Nano-fabrication and semiconductor processing methods Bio-sensor development and ion separation technologies Recent Research Trends show a focus on: Developing affordable microcontroller-assisted nanopore fabrication platforms Enhancing flux pinning in superconductors via ion irradiation Engineering nanomaterials for space applications (carbon-fibre composites) Exploring radiation effects on perovskite solar cells and graphene-enhanced composites Combining machine learning with nanopore sensing for biomarker detection Scientific Awards : Feodor-Lynen Fellowship Borcherts-Medal for PhD excellence Three ARC Fellowships (Postdoctoral, Research, Future) Leadership Roles : Head of Department (2018-2020), Associate Director HDR (2020-2023). His projects include collaborations on Alzheimer's detection sensors and carbon-fibre additive manufacturing for space applications.

• Multimodal User Interfaces
• Affective Computing
• Social Robotics
• +5 more

Prof. Elisabeth André is a Full Professor of Computer Science at Augsburg University , leading the Chair for Human-Centered Artificial Intelligence. She holds academic roles including Managing Director of the Institute of Computer Science (2004–2006) and serves on numerous national/international committees such as the Bavarian Artificial Intelligence Council and DFG panels. Her research focuses on multimodal interfaces , affective computing , and social robotics , with emphasis on human-centered design principles and ethical AI. Education: 1988: Diploma in Computer Science (Saarland University) 1995: Dr. rer. Nat. (Saarland University) Research Interests: Multimodal analysis (physiological/gaze/speech/gesture), tangible interfaces, technology-enhanced learning, and AI ethics. She has pioneered projects like CALLAS (affective multimedia systems) and CUBE-G (cultural adaptation for agents). Awards: 2021: Gottfried Wilhelm Leibniz Prize (Germany’s highest research honor) 2013: ECCAI Fellow 2010: Member of Leopoldina and Academia Europaea Grants & Leadership: Led EU projects (e.g., METABO, E-Circus), DFG initiatives, and co-chaired major conferences (ICMI, AAMAS). Supervised over 20+ PhD students and 11 ongoing doctoral candidates. Labs/Teams: Leads the Human-Centered AI team at Augsburg, collaborating on projects like FORSocialRobots and TherapAI. Active in interdisciplinary efforts for ethical AI frameworks and educational robotics.

• Environmental Chemistry
• Mass Spectrometry
• Non-Targeted Analysis
• +5 more

Dr. Saer Samanipour is a Visiting Professor at the Van 't Hoff Institute for Molecular Sciences, part of the Faculty of Science at the University of Amsterdam. His research focuses on advanced analytical techniques for environmental and biomedical applications, with a strong emphasis on non-targeted analysis, mass spectrometry, and machine learning integration. He leads efforts in developing open-source tools like GcDUO and jHRMSToolBox to enhance data interpretation in complex chemical datasets. Key areas include environmental contaminant detection, chemical exposure assessment via wastewater-based epidemiology, and proteomic analysis of snake venoms. His work bridges computational methods with experimental chemistry to address global challenges in environmental health and toxicology. Primary affiliation: Van 't Hoff Institute for Molecular Sciences Research themes: Non-targeted LC-HRMS workflows, machine learning applications in analytical chemistry, PFAS analysis, and exposome research Software contributions: GcDUO (GC×GC-MS), jHRMSToolBox (HRMS data processing) His publications highlight innovations in data-driven approaches for compound prioritization, toxicity prediction, and method optimization. Recent work explores chemical space exploration and chemometric strategies for complex mixture analysis, with applications to environmental monitoring and forensic science.

Myropi GarriView profile

Senior Lecturer

• International Business
• Strategic Management
• Foreign Direct Investment (FDI)
• +6 more

Myropi Garri is a Senior Lecturer in Strategic Management and International Business at the University of Portsmouth's Faculty of Business & Law, within the School of Strategy, Marketing and Innovation. She serves as the Global DBA Course Director and supervises PhD students. Her research focuses on strategy and international business, with emphasis on Foreign Direct Investment (FDI), institutional influences, sustainability, and geopolitical dynamics. She has contributed to over 20 peer-reviewed publications and led projects such as the 'Dynamic Capabilities building in Ukrainian SMEs for post-war restoration' and the Portsmouth City Council-funded 'AI Leadership Skills Bootcamp.' Her work addresses UN Sustainable Development Goals (SDGs), particularly in sustainable development and global economic equity. Garri has received the Alan M. Rugman Most Promising Young Scholar Award (2016) and frequently presents at international conferences, including a 2024 invited talk at the University of Macedonia in Greece. Key research themes include configurational theorizing, institutional theory, dynamic capabilities, and resource-based strategies. Her projects often involve cross-disciplinary collaborations, such as analyzing FDI motives in South Korea and exploring SME resilience in post-war Ukraine.

• Computational Social Science
• Natural Language Processing
• Human-Computer Interaction
• +3 more

Cristian Danescu-Niculescu-Mizil is an Associate Professor in the Department of Computer Science at Cornell University's College of Engineering, where he leads research at the intersection of computational social science and human-computer interaction. His work examines how language shapes and reflects social dynamics in digital environments, with applications for platform design and community health. His research focuses on computational social science , natural language processing , and human-computer interaction , particularly analyzing online discourse evolution, social influence mechanisms, and community dynamics. Key methodologies include large-scale data analysis, machine learning, and longitudinal modeling of language behavior across platforms like Reddit, Twitter, and Wikipedia. Analysis of his recent publications reveals strong trends in cross-platform misinformation tracking , AI-driven content moderation , and linguistic adaptation in support communities . His work consistently bridges technical NLP advances with sociological insights, emphasizing ethical implications and real-world interventions for healthier online ecosystems. Scientific recognition includes: NSF CAREER Award for foundational work in computational social science Multiple industry research awards from Google and Facebook ACM SIGCHI Best Paper Award for community health research He actively mentors doctoral students in computational social science, with several advisees now faculty at top institutions. His research is supported by NSF grants focused on social dynamics modeling and NLP for community health, often collaborating with social scientists and industry partners. Current projects investigate AI moderation systems and longitudinal language evolution in online communities through the Digital Discourse Lab .

Nicola DragoniView profile

Professor

• Cybersecurity
• Internet of Things (IoT)
• Machine Learning
• +7 more

Nicola Dragoni is a Professor in Cybersecurity Engineering at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). As Deputy Director and Head of Section, he leads research initiatives focused on securing emerging technologies. Key Research Areas : Internet of Things (IoT) security, machine learning for intrusion detection, cyber-deception techniques, fog computing, malware analysis, blockchain applications, and wireless sensor network security. Supervision : Actively supervising multiple PhD students in projects related to cyber-deception, moving target defense, and bio-inspired security mechanisms. Recent Publications : Contributions to IoT honeypots, drone identification via RF signals, passkey adoption challenges, and cyber range taxonomies.