Find Academic Supervisors

• Life Cycle Assessment (LCA)
• Environmental Engineering
• Sustainability Assessment
• +4 more

René Itten is a Senior Lecturer and Senior Researcher at the Institute of Natural Resource Sciences , part of the Zurich University of Applied Sciences (ZHAW) School of Life Sciences and Facility Management . He holds a MSc and BSc in Environmental Engineering from ETH Zurich and a CAS in University Didactics from PHZH. His work focuses on: Advanced Life Cycle Assessment (LCA) Environmental impacts of renewable energy systems Digital transformation in sustainability Blockchain applications for supply chain transparency Biodiversity and resource footprint analysis He leads the Life Cycle Inventory Modelling and LCA Databases research group and teaches modules on Advanced Life Cycle Assessment and Sustainability Assessment . Recent projects include: NPower : Balancing nitrogen/phosphorus flows in regional budgets Multifuel SOFC system : Maritime energy sustainability Coffee Blockchain : Supply chain digitization BioVaR : Biodiversity risk assessment Secure Management Platform : Shared process resources His 15 most recent publications examine environmental implications of: High-altitude floating solar power systems Biodiversity impacts in battery mining Blockchain in coffee supply chains Photovoltaic thermal hybrids Multifunctional device sustainability Circular economy in biorefineries He has presented at international conferences including LCA FOOD, Life Cycle Innovation Conference, and LCM, with particular expertise in geospatial analytics and environmentally-extended input-output modeling.

Karen ChengView profile

Assistant Professor

• Radiation Oncology
• Intensity Modulated Radiation Therapy
• Stereotactic Body Radiation Therapy
• +16 more

Karen Cheng, M.D., is an Assistant Clinical Professor in the Department of Radiation Oncology at City of Hope, with clinical practice sites in Riverside and San Bernardino, California. She is actively involved in clinical care and academic medicine, specializing in advanced radiation therapies including intensity-modulated, stereotactic, and brachytherapy techniques for cancers of the breast, cervix, brain, head and neck, and prostate. Her educational background includes a Doctor of Medicine from Boston University School of Medicine (2015–2019) and a Bachelor of Science in Bioengineering from the University of California at Berkeley (2011–2015). She completed an internal medicine internship at North Shore University Hospital / LIJ Medical Center and a radiation oncology residency at USC/Los Angeles General Medical Center, where she served as chief resident. Dr. Cheng’s research spans radiation oncology innovation, radiomics, AI in imaging, and health equity. Her recent publications focus on technical advancements in brachytherapy, hippocampal-sparing techniques, radiomics datasets, and patient understanding of radiation therapy in diverse populations. This reflects a strong trend toward integrating technology with patient-centered care and addressing disparities in oncology. American College of Radiation Oncology Excellence in Mentorship Award Keck School of Medicine DEI Leaders Scholarship Boston University School of Medicine Anne and David Mischel Cancer Research Award MassChallenge Startup Accelerator Finalist Clinton Global Initiative University Innovation Fund Awardee Multiple grants and leadership awards in innovation, diversity, and research Dr. Cheng has been involved in numerous research projects and clinical initiatives, supported by grants from organizations such as the American Society of Clinical Oncology, Chinese American Medical Society, and Grand Challenges Canada. She has also participated in innovation competitions and hackathons, demonstrating a strong commitment to translational research and community impact. She is fluent in English, Mandarin, Taiwanese, and Spanish, enhancing her ability to serve diverse patient populations. She contributes to academic knowledge through a robust publication record and participation in developing clinical trials at City of Hope, a renowned institution for cancer care and research.

• Nuclear Medicine Physics
• Medical Imaging
• SPECT/CT Image Reconstruction
• +3 more

Michael A. King is a Professor in the Department of Radiology at UMass Chan Medical School and holds an appointment in Biochemistry and Molecular Biotechnology at Morningside Graduate School of Biomedical Sciences. His work focuses on nuclear medicine physics and advanced SPECT/CT imaging systems. UMass Chan Medical School, Worcester, MA T.H. Chan School of Medicine Morningside Graduate School of Biomedical Sciences Research Interests: Dr. King specializes in correcting image degradation factors in nuclear medicine, including attenuation, scatter, and motion artifacts . His lab develops deep learning algorithms for cardiac and brain imaging, adaptive collimator designs for SPECT systems, and task-based image quality assessment using human and numerical observers. Recent Research Trends include respiratory motion compensation in cardiac SPECT, multi-pinhole collimator optimization , and AI-driven dose reduction techniques. His team’s work on dynamic SPECT imaging enables non-invasive quantification of physiological functions. Scientific Contributions: Recipient of three NIH R01 grants (R01-EB022092, R01-EB022521, R01-HL154687) Co-investigator on grants exploring wave-radar motion estimation and pediatric SPECT optimization Pioneered motion-corrected reconstruction algorithms integrated into clinical workflows Teaching: Dr. King leads the Physics of Radiology for Residents course and prepares students for the American Board of Radiology physics exam through Physics Review Lectures . He has mentored graduate students like Anne-Dorte Achtert and Daniel deVries, whose work received Best Scientific Paper Awards from the Journal of Nuclear Cardiology and Journal of Nuclear Medicine.

Federica EduatiView profile

Associate Professor

• Systems Biology
• Oncology
• Computational Biology
• +5 more

Federica Eduati is an Associate Professor in Systems Biology for Oncology at the Department of Biomedical Engineering at Eindhoven University of Technology (TU/e). She leads a research group focused on developing interpretable computational models to understand differential patient responses to cancer therapies and create personalized treatment strategies. Her work integrates multi-modal data including omics, imaging, and microfluidics-generated experimental data to study tumor-immune interactions and signaling dynamics. Dr. Eduati holds a BSc in Biomedical Engineering (2006) and MSc in Bioengineering (2008) from the University of Padova, Italy (both cum laude), and completed her PhD in Systems Biology in 2013. Her postdoctoral training included an EMBL EIPOD Marie Curie fellowship split between EMBL-EBI (Cambridge) and EMBL-HD (Heidelberg). Her research focuses on: Developing multiscale spatial models of tumor microenvironments Creating patient-specific models for precision oncology Identifying predictive biomarkers for immunotherapy response Integrating computational modeling with microfluidics technology Decoding tumor-immune cell interactions through spatial omics Her publications demonstrate strong emphasis on computational oncology approaches including spatial modeling of tumor microenvironments, machine learning for biomarker discovery, integration of multi-modal data sources, and developing personalized therapy prediction systems. Recent work focuses on agent-based modeling, radiogenomics, and interpretable AI for clinical applications. Scientific awards and recognitions: Marie Curie Fellowship (EMBL EIPOD) Co-organizer of NIEHS-NCATS-UNC DREAM Toxicogenetics Challenge (2013) Multiple research outputs featured in press/media including expert commentaries on prostate cancer research and personalized cancer therapy She leads the Computational Biology group at TU/e and collaborates extensively with international research teams. Her lab develops advanced droplet microfluidics platforms for high-throughput drug screening and utilizes public data repositories for model validation.

• Machine Learning
• Maritime Engineering
• Robotics
• +4 more

Shengkai Zhang is an active researcher with 26 publications and 444 citations spanning engineering, computer science, and environmental disciplines. His work demonstrates strong interdisciplinary collaboration through co-authorship with researchers like Kezhong Liu and Mozi Chen across multiple high-impact venues including IEEE conferences, arXiv, and specialized journals. His research interests center on Machine Learning applications in maritime systems , with significant contributions to Large Language Model integration for ship navigation, wireless sensing for bridge officer monitoring, and sensor fusion techniques. Additional expertise spans robotics perception (visual-inertial systems, mmWave radar enhancement), environmental modeling (urban energy systems, climate studies), and biomedical applications of traditional medicine. Recent work shows increasing focus on AI foundation models and their security implications. Zhang's publication trajectory reveals consistent output with accelerating impact since 2023, featuring 15+ papers in 2024 alone. His research clusters around three core themes: Maritime AI Systems (LLM navigation, track association, watchkeeping monitoring) Advanced Sensing Technologies (mmWave radar, Wi-Fi sensing, GNSS fusion) Environmental & Biomedical Applications (urban energy modeling, gut microbiome studies) These areas demonstrate both technical depth in signal processing/computer vision and practical focus on real-world engineering challenges.

• Computational Neuroscience
• Neural Networks
• Neural Coding
• +11 more

Tatjana Tchumatchenko is a Group Leader at the Max Planck Institute for Brain Research in Frankfurt and affiliated with the University of Bonn Medical Center. She leads the Theory of Neural Dynamics group, focusing on computational models of neural coding, synaptic plasticity, and dendritic computation. Her work integrates mathematics, physics, and computer science to understand how neurons and networks process information. Institution: Max Planck Institute for Brain Research, Frankfurt Secondary Affiliation: University of Bonn Medical Center Group: Theory of Neural Dynamics Research Focus: Computational Neuroscience, Neural Coding, Synaptic and Dendritic Dynamics Her research spans from molecular-level processes like mRNA and protein distribution in dendrites to network-level phenomena such as information transmission, oscillations, and learning. She develops theoretical models and computational tools to analyze neural data and predict novel effects testable by experiments. Her interdisciplinary approach bridges theoretical neuroscience with experimental biology, often in close collaboration with experimental groups worldwide. The 15 most recent publications highlight a strong trend toward integrating molecular, structural, and functional aspects of synaptic and dendritic computation. Key themes include competitive synaptic plasticity, energy constraints on molecular localization, astrocyte involvement in learning, and the development of novel analytical methods for imaging and electrophysiology data. Her work increasingly connects computational principles with biological realism, influencing both neuroscience and artificial intelligence. Heinz Maier-Leibnitz-Prize (2016) ERC Starting Grant (2020) Boehringer Ingelheim FENS Research Award (2022) Young Academy of Europe Fellow (2019) Focus Magazine: 25 Young Innovators Shaping Germany’s Future (2017) Tchumatchenko has mentored over thirty students and postdocs, many of whom have received prestigious fellowships. Her research is supported by the Max Planck Society, DFG, and Hessian funding agencies. She actively contributes to the neuroscience community through organizing workshops, serving on program committees (Bernstein Conference, CNS, FENS), and promoting women in science. She currently chairs the Bonn Center for Neuroscience and co-organizes international workshops on dendritic computation and synaptic plasticity. Her lab operates at the intersection of theoretical modeling and experimental collaboration, with members shared across scientific groups. She emphasizes training the next generation of computational neuroscientists and fostering interdisciplinary dialogue.

Yan ZhuView profile

Research Fellow

• Photovoltaic systems
• Solar cell technology
• Semiconductor characterization
• +3 more

Dr. Yan Zhu is a Research Fellow at the University of New South Wales (UNSW), affiliated with the School of Photovoltaic and Renewable Energy Engineering. She is currently part of the ACDC research team, focusing on advanced characterization techniques for photovoltaic materials and devices. Dr. Zhu holds a PhD in Photovoltaic Engineering from UNSW, complemented by international education including a Master's from École Polytechnique (France) and a Bachelor's from Shanghai Jiao Tong University. Her research specializes in photovoltaic systems and semiconductor characterization, with expertise in: Development of novel characterization methods for solar materials Defect analysis in silicon and semiconductors using photoluminescence Performance optimization of monocrystalline and multijunction solar cells Advanced metrology for photovoltaic device quality improvement Her publication portfolio demonstrates strong focus on photovoltaic innovation (60% of recent works), complemented by interdisciplinary contributions in computer vision applications for biometrics (25%) and medical imaging (15%). The research shows consistent emphasis on measurement accuracy, material reliability, and efficiency enhancement in renewable energy systems. Awards and Honors: Dean's Award for Outstanding PhD Theses (UNSW) Best Student Award - 7th World Conference on Photovoltaic Energy Conversion Steve Robinson Memorial Prize (UNSW) Dr. Zhu leads research within the ACDC photovoltaics characterization laboratory at UNSW, collaborating on projects developing next-generation solar cell diagnostic techniques. Her work bridges fundamental semiconductor research and industrial applications for renewable energy solutions.

Mohammed El-HajjarView profile

Professor

• Millimeter wave wireless communications
• Energy efficient transceiver design
• MIMO systems
• +7 more

Professor Mohammed El-Hajjar is a faculty member at the University of Southampton , affiliated with the Next Generation Wireless research group. His work spans advanced wireless technologies and their applications in emerging communication paradigms. Research areas include Millimeter wave (mMWave) wireless communications, Energy efficient transceiver design, MIMO systems, V2X networking, and Machine learning integration in wireless domains. Current projects involve PlaTform DrIving The UltImAte CoNnectivity (EPSRC-funded) and Affine Frequency Division Multiplexing for 6G (collaborative with Professor Hanzo). His publications focus on holographic MIMO, orbital angular momentum, and AI-driven wireless systems. He has supervised over 10 PhD students in electronic and electrical engineering. Scientific Awards Royal Academy of Engineering Industrial Fellowship Secured funding from UKRI and industry partners As a prolific researcher, he has contributed to over 100 peer-reviewed papers and holds multiple patents in wireless communication technologies.

Arthur B MarkmanView profile

Professor

• Cognitive Science
• Decision Making
• Consumer Behavior
• +3 more

Arthur B. Markman is the Annabel Irion Worsham Centennial Professor of Psychology and Senior Vice Provost for Academic Affairs at The University of Texas at Austin. He holds dual appointments in Marketing and the Human Dimensions of Organizations (HDO) program. His roles include overseeing undergraduate and graduate academic programs, continuing education, and custom programs for nontraditional students. Markman earned a B.S. in Cognitive Science from Brown University (1988) and a Ph.D. in Psychology from the University of Illinois (1992). Before his current role, he was an Assistant Professor at Columbia University (1992–1997) and directed the HDO program (2011–2018). He previously served as Executive Director of the IC2 Institute, focusing on economic development in small communities. His research spans similarity and analogy processing, decision-making, consumer behavior, and knowledge representation. He emphasizes how motivational factors shape cognition and leadership. Markman has authored over 150 scholarly works and popular books like Smart Thinking and Smart Change , which translate cognitive science for general audiences. He co-hosts the podcast Two Guys on Your Head and contributes to outlets like Fast Company and Psychology Today. His awards and recognitions are not explicitly listed, but his prolific publication record and leadership roles reflect significant scholarly and institutional impact. Markman’s work bridges academic research with practical applications in business, education, and organizational behavior.

Stefan AntonowiczView profile

Associate Clinical Professor

• Clinical Sciences
• Oncology
• Carcinogenesis
• +4 more

Stefan Antonowicz is a Clinical Associate Professor and Clinical Senior Lecturer at Imperial College London's Department of Surgery & Cancer within the Faculty of Medicine. He is an Honorary Consultant Upper Gastrointestinal Surgeon at Imperial College Healthcare Trust. His research focuses on metabolic heterogeneity in upper gastrointestinal cancers, employing spatial biology and ex vivo models. Key areas include non-genomic heterogeneity's impact on clinical outcomes, tissue geometry's role in drug distribution, and device development for targeted therapies. He leads academic modules in Surgical Design Technology and Innovation and serves as the Academic Training Lead for General Surgery at Imperial. Education: PhD from Imperial College London, FRCS from the Royal College of Surgeons of England. His grants include Cancer Research UK and Rosetrees Trust fellowships, alongside funding from NIHR-Imperial BRC and the Medical Research Council. Research interests span metabolic reprogramming in cancer, exhaled breath biomarkers, and minimally invasive surgery techniques. Collaborators include the Takats, Dini, and Hanna labs. His articles emphasize translational oncology, surgical outcomes, and biomarker development. Awards: Clinician-Scientist Fellowship (CRUK), Rosetrees Trust Fellowship Training Programs: Leads intercalated BSc Surgical Design modules Labs: Metabolic Heterogeneity Group (website linked) Current PhD advisees include Saki Okada and Afroza Sharmin (co-supervised). He actively publishes on therapeutic resistance, metabolomic diagnostics, and postoperative care optimization.

• Clinical Trials
• Psychopharmacology
• Palliative Care
• +4 more

Dr Alison Diaper is a Senior Research Fellow at the University of the West of England (UWE Bristol), affiliated with the Faculty of Health and Applied Sciences (HAS) and the Centre for Health and Clinical Research (CHCR). She also collaborates with the Bristol, North Somerset and South Gloucestershire Integrated Care Board (BNSSG ICB) to facilitate grant applications for health and social care research. Her dual academic and clinical roles focus on knowledge mobilization and evidence-based practice. Her research spans drug and medical device clinical trials for sleep disorders, anxiety, treatment-resistant depression, opioid misuse, and neuromodulation therapies for neurological conditions like Parkinson's disease. Key projects include paramedic screening for advance care planning in EMS settings and pharmacological strategies for detoxification. Publications highlight her work in emergency care, palliative care screening, and experimental models of anxiety (e.g., CO2 inhalation studies). She has contributed to randomized controlled trials evaluating medications like buprenorphine/naloxone and glycine reuptake inhibitors. Her studies often involve healthy volunteers and explore cardiovascular outcomes of antidepressants like venlafaxine. Dr Diaper’s grants and collaborations aim to bridge academic and clinical sectors, advancing translational research in addiction medicine, emergency care, and neuropsychopharmacology. She is actively involved in the BNSSG ICB’s Clinical Effectiveness and Research team, emphasizing practical healthcare solutions.

• New Media Art
• Human Machine Communication
• Interactive Sculpture
• +3 more

Hannen Wolfe is an Assistant Professor of Computer Science at Colby College, specializing in the intersection of technology and artistic expression. Their work explores human-machine communication, interactive sculpture, and virtual/mixed reality through a media arts lens. Currently teaching courses like CS151 (Computational Thinking: Visual Media) and CS453 (Interactive Systems II). Education: Ph.D. in Media Arts and Technology, University of California, Santa Barbara M.S. in Computer Science, UCSB M.S. in Media Arts and Technology, UCSB B.A. in Liberal Arts with Visual Arts concentration, Bennington College Research Interests: Focuses on creating embodied technologies through new media art, including robotic theater, emotive sound design, and interactive installations that challenge social norms. Recent projects include a robo-pickup artist exploring gender norms and the Cacophonic Choir installation addressing survivor narratives. Specializes in how physical embodiment influences human-technology interaction and ethical implications of AI in art. Articles Trends: Publications span 2015-2025, emphasizing interactive systems development, ethical robotics, and cross-disciplinary art-tech collaborations. Recent work (2023-2025) explores generative AI in printmaking and material-based digital art. Advising/Grants: No listed advisees or grants in provided materials. Active in curating immersive installations and techno-art exhibitions. Labs/Teams: No specific lab mentioned; collaborates across art and computer science departments on hybrid media projects.

Bo ZhouView profile

Research Professor

• Medical Imaging
• Deep Learning
• Radiology
• +4 more

Bo Zhou is a Research Professor in Radiology at Northwestern University's Feinberg School of Medicine, specializing in medical imaging and artificial intelligence. He holds a PhD from Yale University (2024) and focuses on advancing deep learning techniques for low-dose PET/SPECT imaging, including denoising, attenuation correction, and federated learning applications. His work bridges cutting-edge computational methods with clinical radiology to improve diagnostic accuracy and reduce radiation exposure. Education: PhD in Radiology, Yale University (2024) Affiliations: Member of RSNA, IEEE, American Heart Association, and SPIE Medical Imaging His research interests emphasize developing AI-driven solutions for nuclear medicine challenges, such as optimizing cardiac imaging protocols and enhancing image quality through diffusion models and federated learning. Notable contributions include noise-aware PET denoising frameworks and population-prior-aided networks for low-count imaging. Recent publications highlight advancements in PET reconstruction, federated learning for medical imaging, and motion-correction techniques. He has been recognized with the IEEE Bruce Hasegawa Young Investigator Award (2024) for his contributions to medical imaging science.

Katie da Cunha LewinView profile

Lecturer

• 20th and 21st Century Literature
• Modernism
• Contemporary Fiction
• +4 more

Katie da Cunha Lewin is a Lecturer in 20th and 21st Century Literature at Coventry University's Faculty of Arts and Humanities. She joined Coventry in 2020 first as an HPL, and then as a Lecturer in 2021, bringing expertise in modern literature and contemporary cultural studies. Dr. Da Cunha Lewin earned her PhD in 2018 from the University of Sussex, where she developed her specialization in 20th and 21st century literature. Her academic journey includes teaching positions at City Lit, the IF Project, Picturehouse Cinemas, Bishopsgate Institute, and the University of Roehampton, demonstrating her commitment to both university and public education settings. Her research focuses on modernism and contemporary fiction with particular expertise in representations of writing and creative work in post-1945 literature. She has made significant contributions to Don DeLillo scholarship through her co-edited volume 'Don DeLillo: Contemporary Critical Perspectives' and numerous articles examining DeLillo's work through environmental studies, critical whiteness studies, and theoretical physics frameworks. Her current research includes a nonfiction book 'The Writer's Room' (forthcoming 2024) exploring cultural fascination with writers' physical spaces, and a project on writing labor in the Millennial novel. Dr. Da Cunha Lewin's publications reveal a consistent focus on American literature, spatial dynamics in fiction, and creative labor representation. Her work bridges academic scholarship with public intellectual engagement, as evidenced by her writing in major publications like the Times Literary Supplement and Los Angeles Review of Books. As an educator, Dr. Da Cunha Lewin leads BA modules Modernism (level 5) and Fiction of the 21st Century (level 6), and has supervised undergraduate dissertations on contemporary British feminist writing and Gertrude Stein. She expresses interest in supervising doctoral students working on modernism and contemporary fiction, particularly those examining representations of writing in post-45 literature and culture.

• Auditory Neuroscience
• Neural Plasticity
• Tinnitus
• +3 more

Fernando Nodal serves as a Departmental Lecturer and Senior Postdoctoral Research Scientist at the University of Oxford's Department of Physiology, Anatomy and Genetics (DPAG), where he is embedded within the King Group of the Wellcome Trust-supported Auditory Neuroscience research group. He maintains college affiliation with St Hilda's College and utilizes integrated behavioral, electrophysiological, and anatomical methodologies to investigate auditory perception mechanisms. His academic credentials include a BSc and MSc in Biological Sciences followed by a PhD in Neuroscience, all completed at the University of Salamanca, Spain. His doctoral work examined neural circuits of auditory reflexes, establishing the foundation for his current research trajectory. Nodal's research centers on experience-dependent neural plasticity within the auditory system, particularly investigating maladaptive processes that generate phantom perceptions like tinnitus. He employs unilateral conductive hearing loss models in ferrets to dissect how the brain maintains perceptual stability during sensory disruption. A parallel research stream explores how behavioral relevance modulates neural representations of sensory stimuli, revealing fundamental principles of attention and perception. His experimental approach consistently bridges molecular, systems, and behavioral levels of analysis. Recent publications demonstrate growing emphasis on tinnitus mechanisms across sleep-wake cycles, cholinergic modulation of cortical processing, and long-term behavioral adaptations to hearing impairment. These studies increasingly integrate cross-species validation (ferrets and humans) while maintaining rigorous electrophysiological and anatomical foundations. His scientific recognition includes: Marie Curie Fellowship (2000) Nodal actively mentors graduate researchers including Ana Isabel Sánchez Jiménez (auditory localization plasticity) and Linus Milinski (tinnitus-sleep interactions), supported by sustained Wellcome Trust funding for the Auditory Neuroscience group. His collaborative framework extends through the King Group's investigations of multisensory integration and spatial hearing. Within DPAG, he contributes to the Auditory Neuroscience group's mission of decoding fundamental auditory processing principles using innovative ferret models, with ongoing projects examining cortical feedback mechanisms and cross-modal plasticity following sensory deprivation.