Prof. Sander Bohte is a part-time full professor of Computational Neuroscience at the University of Amsterdam (Swammerdam Institute of Life Sciences) and an honorary full professor of Bio-inspired Neural Networks at the University of Groningen. He serves as a Scientific Staff Member and Group Leader in the Machine Learning department at CWI, Amsterdam. His work bridges computational neuroscience and machine learning with a focus on continuous-time information processing. Key research interests include: Spiking Neural Networks with predictive coding and multi-compartment models Biologically Plausible Learning in recurrent and deep architectures Working Memory modeling via reinforcement learning Neuromorphic Computing for real-time systems and GPU acceleration His recent publications highlight trends in neural adaptation , predictive coding , and SNN hardware-software co-design . Awards include the Veni Innovational Research Grant (2004) and ERCIM grant (2013) . He actively supervises MSc theses and leads grants like the NWO KIC project 'Selfhealing Neuromorphic Systems' (2024).
Lailiang Cheng is a Professor in the Horticulture Section of Cornell University's School of Integrative Plant Science, specializing in the physiological processes of deciduous fruit crops (particularly apple). His research focuses on sugar/malate metabolism, mineral nutrition, and environmental stress responses to improve orchard productivity and fruit quality. He integrates physiological, biochemical, and molecular approaches to study sorbitol signaling and nutrient management in high-density orchards. Education: Doctorate, Oregon State University (1999) Master of Science, Shandong Agricultural University (1989) Bachelor of Science, Shandong Agricultural University (1984) Research Focus: Cheng's work investigates carbon partitioning, malate accumulation, and nutrient transport dynamics in apple trees under abiotic stresses. His extension program delivers nutrient management strategies to the apple industry, while his teaching emphasizes analytical techniques (PLSCI 6170) and crop nutrition principles (PLSCI 4551/6551). Publication Analysis: Recent articles (2021-2025) reveal dominant themes in molecular regulation of fruit acidity, transporter biology, stress-responsive transcription factors, and omics-assisted breeding. Over 70% of publications involve collaborative work on apple genomics, with consistent emphasis on translating basic research into orchard management solutions. Awards & Recognition: No scientific awards mentioned in source materials. Academic Contributions: Advises graduate students in Horticulture; research supported by Cornell University Agricultural Experiment Station. Collaborates extensively with pomology breeders, extension specialists, and molecular biologists globally.
Mark MacLachlan is a distinguished Professor and currently serves as the Dean of the Faculty of Science at the University of British Columbia (UBC). He leads a vibrant research group in the Department of Chemistry focused on supramolecular materials, with expertise spanning organic, inorganic, and polymer chemistry. His work bridges fundamental molecular design with practical applications in energy, electronics, and sustainable materials. Dr. MacLachlan's research interests center on supramolecular chemistry and materials science, with emphasis on nanomaterials, porous structures, and cellulose-based systems. His group develops novel organic and inorganic molecules and materials with applications in electronics, photonics, catalysis, and environmental technologies. Key research areas include mesoporous materials for optics and catalysis, supramolecular chemistry with macrocycles, structurally interesting molecules, and self-assembled systems including gels. His work often addresses environmental challenges and alternative energy applications such as solar energy conversion and hydrogen fuel cells. Analysis of his recent publications reveals a strong focus on cellulose nanocrystals and their applications in photonic materials, energy storage, and responsive systems. His work integrates supramolecular chemistry with platinum-based systems for molecular machines and recognition. The research demonstrates interdisciplinary approaches combining chemistry, materials science, and nanotechnology to create functional materials with precisely controlled properties. Fellow of the Royal Society of Chemistry (UK) (2016) Tier 1 Canada Research Chair in Supramolecular Materials (2015-2029) Elected Fellow of the Royal Society of Canada (FRSC) (2014) Rutherford Memorial Medal (Royal Society of Canada) (2013) Killam Award for Excellence in Graduate Student Mentorship (UBC) (2013) NSERC Steacie Memorial Fellowship (2012-14) Dr. MacLachlan has mentored numerous graduate students and postdoctoral researchers, fostering a collaborative research environment that spans multiple disciplines. His group employs a wide range of characterization techniques including electron microscopy, spectroscopy, and X-ray crystallography. The MacLachlan research group maintains active collaborations with institutions worldwide, including the WPI Nano Life Science Institute at Kanazawa University where he serves as a Visiting Professor. The MacLachlan group operates state-of-the-art facilities for synthesizing and characterizing novel materials, with particular expertise in chiral nematic structures, mesoporous materials, and supramolecular assemblies. Their work on cellulose nanocrystals has led to innovative applications in photonic materials, energy storage devices, and responsive systems.
Wenjing Rao is an Associate Professor at the Department of Electrical and Computer Engineering, College of Engineering, University of Illinois at Chicago (UIC). Her research focuses on VLSI test, fault-tolerance, reliability, and hardware security in emerging nanoelectronic systems. Education: Ph.D. in Computer Science from University of California, San Diego (2008) B.S. in Computer Science from Peking University (2001) Her work explores novel computation paradigms through physical unclonable functions (PUFs), defect-tolerant logic implementation, and scalable fault tolerance in many-processor arrays. Publications emphasize hardware security, reconfiguration strategies, and reliability challenges in nanoscale architectures. Notable honors include the 2017 Harold A. Simon Award for Excellence in Teaching and the 2012 NSF CAREER Award. She has contributed to key journals like IEEE Transactions on Computer-Aided Design and conferences including DATE, ASPDAC, and NANOARCH.
Dr. Michael Philben is an Associate Professor of Chemistry and Geological and Environmental Science at Hope College, where he joined in 2019 after postdoctoral positions at Memorial University (Canada) and Oak Ridge National Laboratory. His research focuses on climate-carbon cycle feedbacks in vulnerable ecosystems, particularly peatlands and Arctic tundra. His educational background includes a Ph.D. in Marine Science from the University of South Carolina (2014) and a B.A. in Earth and Planetary Science from Northwestern University (2010). At Hope College, he teaches Environmental Science courses and contributes to the Day1: Watershed program. Philben's research centers on carbon and nitrogen cycling in ecosystems containing vast organic carbon stocks. He leads an NSF CAREER-funded project investigating Michigan peat bogs as natural laboratories for climate change impacts, using a north-south transect from Portage to Newberry as a 'space-for-time' experiment. His work examines methane emissions, nitrogen availability, and net carbon balance under warming conditions, with particular attention to Sphagnum-dominated peatlands at the southern edge of their climate range. His 15 most recent publications (2020-2024) reveal a strong focus on peatland biogeochemistry, with increasing emphasis on methane dynamics, nitrogen cycling, and the role of specific biochemical compounds like sphagnan. The research combines field measurements across climate gradients with laboratory experiments, often involving Hope College students in all project phases. NSF CAREER Award for peatland climate research Philben actively mentors undergraduate researchers through the Philben Research Group, which investigates how warming impacts carbon cycling in peatlands. His projects involve interdisciplinary work spanning analytical chemistry, geology, and ecology. The group maintains a network of seven Michigan peat bog field sites and collaborates on international research, including Arctic studies in Alaska and Canada. His laboratory focuses on using analytical chemistry tools to predict climate-carbon cycle feedbacks, with particular attention to southern Michigan peatlands as sentinels for larger northern peatland complexes. The research group employs techniques including greenhouse gas flux measurements, radiometric dating of peat cores, and analysis of organic matter composition.
Dr. Anne-Kathrin Fett is a Senior Lecturer in the Department of Psychology within the School of Health and Psychological Sciences at City St George's, University of London. She is Co-director of the Research Centre for Clinical, Social and Cognitive Neuroscience (CSCN) and holds a secondary affiliation with King’s College London. Her research integrates clinical, biological, and cognitive neuroscience approaches to understand social functioning in psychosis and mental health. Research Interests: Her research focuses on the psychological, epidemiological, and neuroscientific mechanisms underlying social functioning, loneliness, and social isolation in both the general population and individuals with psychotic disorders. Key areas include student mental health, especially during the COVID-19 pandemic, and the neurocognitive basis of social cognition in psychosis. Recent Research Trends: Her recent publications highlight a consistent focus on social cognition, particularly in schizophrenia and early psychosis. Themes include emotion recognition, theory of mind, metacognition, and the impact of environmental and biological factors. There is a growing emphasis on longitudinal and population-based studies, including the mental health effects of global crises such as the pandemic. Scientific Awards and Honors: Dutch Research Council Veni Fellow Brain and Behaviour Foundation (NARSAD) Young Investigator Grant Fellow of the Higher Education Academy Teaching and Supervision: Dr. Fett leads and teaches on core psychology modules including Biological Approaches to Mind and Behaviour (PS1005) and Introduction to Clinical Psychology (PS2008), as well as the CSCN MSc program. She supervises BSc, MSc, PhD, and DPsych (counselling) dissertation projects and welcomes inquiries for PhD and internship positions. Research Leadership: She is Co-director of the Research Centre for Clinical, Social and Cognitive Neuroscience, fostering interdisciplinary research in clinical and cognitive neuroscience. She is also an editorial board member of Schizophrenia Research: Cognition and actively contributes to the Schizophrenia International Research Society, the International Early Psychosis Association, and UKRI networks on loneliness and student mental health.
Daniel Kious is a Reader at the University of Bath, where he serves as Head of the Statistics and Probability Group and is affiliated with the Prob-L@B research center. His work focuses on advanced probability theory, including random walks, branching processes, and reinforcement models. Research Interests: Random walks with self-interaction Random walks in dynamic random environments Branching processes and tree structures Reinforcement learning applications in probability Article Trends: His recent publications emphasize trapping phenomena, reinforcement mechanisms, and phase transitions in random processes. Key themes include spatial non-local branching, once-reinforced walks, and connections to statistical physics. Advising: Co-supervised PhD students: Wilfred Armfield, Pawel Rudnicki, Carlo Scali Postdoc supervision: Guillaume Conchon-Kerjan (EPSRC-funded), Umberto De Ambroggio (co-supervised with Matt Roberts) Organizational Contributions: Co-organized conferences like CUWB IV: Frontiers in Statistics and Probability, CUWB II: Probability-on-sea, and the Random Walks in Bath conference. Active in the Prob-L@B research center. Personal Interests: Brazilian Jiu Jitsu practitioner (blue belt at Gracie Barra Frome); contributed to mathematics popularization through a 2016 article for the French Committee for the Popularization of Mathematics (CIJM).
Jonathan Cannon is an Assistant Professor in the Department of Psychology, Neuroscience & Behaviour at McMaster University's Faculty of Science. His research focuses on timing and rhythm in perception and action, with particular interest in timing-related neural dynamics in the basal ganglia, cerebellum, and supplementary motor area. His work combines mathematical modeling with experimental approaches to understand the neural basis of rhythm perception and production. Dr. Cannon's research interests span timing and rhythm perception , neural dynamics , dynamical systems theory , Bayesian cognition , neural oscillations , and autism research . His approach centers on formulating and simulating neurophysiological and cognitive models, drawing on dynamical systems theory and Bayesian cognitive frameworks. His work incorporates psychophysics, EEG experiments, and collaborations with experimentalists to investigate how the brain processes rhythmic information. Analysis of his recent publications reveals a strong focus on the intersection of rhythm perception, motor control, and autism spectrum disorder. His work demonstrates how beat perception co-opts motor neurophysiology, with particular attention to predictive processes in rhythmic cognition. His research shows reduced precision of motor and perceptual rhythmic timing in autistic adults, while also finding intact sequence learning abilities in certain contexts. Dr. Cannon teaches advanced courses including Machine Learning Methods for Brain Modelling and Neural Data Analysis (PSYCH 734), Computational Models in Neuroscience (NEUROSCI 3MN3), and Neuroscience Seminars. His teaching reflects his interdisciplinary approach that bridges mathematics, neuroscience, and cognitive science. Beyond his academic work, Dr. Cannon is an active musician who performs on violin and guitar, particularly in klezmer and folk music contexts. He has also demonstrated entrepreneurial spirit through founding Flying Leap Games and developing the storytelling game 'Wing It,' which successfully crowdfunded and reached numerous retailers.
Timothy Harris is an Affiliated Lecturer at the University of Cambridge's Department of Computer Science and Technology, where he jointly teaches courses on multicore semantics and programming. Currently, he works at OpenAI, focusing on performance optimization for GPU inference of large language models, including the Azure OpenAI Service. Previously, he held roles at Microsoft, AWS, Oracle Labs, and was a faculty member at the University of Cambridge (2000–2004). His research spans distributed systems, runtime systems, operating systems, and high-performance computing, with an emphasis on scalability and performance. He contributed to projects like the Xen hypervisor and the Barrelfish research OS. Key research interests include distributed training of PyTorch models in the ONNX runtime, large-scale storage performance with Amazon S3, and runtime systems for in-memory graph analytics. His work often bridges 'big data' and high-performance computing techniques. Notable contributions include the book Transactional Memory (2010) and the Barrelfish OS, alongside numerous publications in top-tier conferences like SOSP, ASPLOS, and EuroSys. He has served as PC chair for ISMM 2025, VEE 2017, and EuroSys 2015, reflecting his leadership in the systems research community. His awards include a Best Paper Award at PACT 2010. Beyond academia, Harris is an avid hiker, aiming to complete the UK coastline, and maintains a photography portfolio at tlhphotography.uk .
Beth C. Rubin serves as Professor of Education and Professor of Social Studies Education in the Department of Arts and Humanities at Teachers College, Columbia University. Her work centers on youth civic identity formation within contexts marked by historical and contemporary inequalities, with particular focus on post-conflict societies like Guatemala. As Principal Investigator of the Civically Engaged Districts Project, she bridges research and practice through curriculum design and pedagogical innovation. Her educational background includes a Ph.D. in Social and Cultural Studies in Education from the University of California, Berkeley (2001), an M.A.T. in Social Studies Education from Brown University (1992), and a B.A. in Government and Third World Studies from Oberlin College (1989). Rubin's research explores critical intersections of civic learning, historical memory, and citizenship formation, emphasizing ethnographic approaches to understanding how young people navigate belonging in unequal societies. Her scholarship advocates for 'critically relevant civics' that centers youth voice and addresses structural inequities through social design research methodologies. Analysis of her 15 most recent publications reveals consistent focus on post-conflict civic education (particularly Guatemala), youth participatory action research, and decolonizing social studies curricula. Her work increasingly examines how historical memory shapes contemporary citizenship education while addressing urban civic opportunity gaps through teacher education reform. Selected Honors: Fulbright Scholar Award National Academy of Education/Spencer Postdoctoral Fellowship Big Ten Academic Alliance Department Executive Officers Program Fellow Mary Hepburn Lectureship in Social Studies Education Rubin leads multiple funded initiatives including the Civically Engaged Districts Project (Maher Charitable Foundation), Spencer Foundation grants on socially transformative design, and international collaborations with Universidad del Valle, Guatemala. Her service includes co-directing Rutgers GSE's Urban Teaching Fellows Program and advising on the Excellence and Equity in Remote Learning Series. Through the Civically Engaged Districts Project and partnerships with New Brunswick and Edison school districts, Rubin develops practical frameworks for integrating youth civic voice into district-level decision making, creating models for sustainable democratic engagement in education systems.
Ulrich Tallarek serves as Professor of Analytical Chemistry in the Faculty of Chemistry at Philipps University of Marburg, where he has held a W3 professorship since 2011. He also serves on the Board of Directors for the Materials Science Center at the university, a position he has held since 2007. His research group focuses on the fundamental understanding of transport phenomena in porous media with applications spanning chromatography, battery technology, and microfluidic systems. The group maintains strong collaborations with institutions worldwide and secures substantial research funding for advanced computational and experimental work. Professor Tallarek's research interests center on functional porous solids, with specific focus on morphology-transport-performance relationships. His work bridges multiple scales from molecular dynamics simulations of solute behavior in nanopores to macroscopic transport in chromatographic columns and battery electrodes. Key research areas include diffusion in hierarchical porous media, electrokinetic phenomena in microfluidic systems, molecular simulation of chromatographic processes, and advanced characterization of porous materials using tomography and other techniques. His group has pioneered multiscale simulation approaches that connect molecular-level surface chemistry to macroscopic transport properties. The research output demonstrates consistent focus on understanding fundamental transport mechanisms in porous systems, with recent publications emphasizing multiscale simulation techniques, molecular dynamics studies of solvent effects in chromatography, advanced characterization of mesoporous structures, and applications to separation science and energy storage. The work shows strong integration of computational modeling with experimental validation across multiple length scales. 2003: Desty Memorial Prize for Innovation in Separation Science, The Royal Institution of Great Britain, London 2006: Young Scientist Award from DECHEMA e.V. 2011: Named Discussion Leader at the 2011 Gordon Research Conference on Physics & Chemistry of Microfluidics 2011–2012: Chairman of the German Chemical Society (GDCh), Marburg 2013: Finalist, World Technology Awards, for category Environment 2013: Named as one of the 100 most influential analytical scientists in the world (The Analytical Scientist Power List) 2017: Recipient of the Silver Jubilee Medal 2017, The Chromatographic Society, UK Professor Tallarek's research has been supported by numerous grants enabling high-performance computing resources, advanced instrumentation, and international collaborations. His group maintains strong ties with industry partners in separation science and analytical instrumentation. The Tallarek Research Group includes postdoctoral researchers, PhD students, and technical staff working across experimental and computational domains. Current projects focus on molecular simulation of chromatographic processes, advanced characterization of porous battery electrodes, and development of novel separation methodologies. The Tallarek Research Group operates state-of-the-art facilities for computational modeling, including access to high-performance computing resources at Forschungszentrum Jülich. The group also maintains experimental capabilities for chromatographic analysis, materials characterization, and microfluidic device development. Their work on physically reconstructed porous media has established new standards for connecting microstructure to transport properties in complex materials systems.
Adjunct Professor Evgeny Osipov is affiliated with La Trobe University's Business Analytics department. His research spans artificial intelligence, hyperdimensional computing, and neural network architectures. Academic Rank: Adjunct Professor Department: Business Analytics Email: E.Osipov@latrobe.edu.au Research interests include: Hyperdimensional computing and vector symbolic architectures Spiking neural networks and reservoir computing Hardware-efficient AI implementations Causal reasoning in large language models Self-organizing maps and spatiotemporal sequence learning Applications in smart cities and robotic navigation Recent research outputs demonstrate expertise in: Developing unsupervised learning frameworks using hypervectors Optimizing reservoir computing with cellular automata Creating memory-efficient neural network models Advancing hyperdimensional classification techniques Exploring causal graph integration in language models
Xiaofeng Liu is an Assistant Professor at Yale University School of Medicine in the Departments of Radiology & Biomedical Imaging and Biomedical Informatics & Data Science. He is also an Associate Member at the Broad Institute of MIT and Harvard. Previously, he held faculty positions at Harvard Medical School and research roles at Massachusetts General Hospital and Beth Israel Deaconess Medical Center. PhD in Mechatronics from University of Chinese Academy of Sciences Dual Bachelor's degrees in Automation (Wang-Daheng Elite Class) and Communication from University of Science and Technology of China His research integrates trustworthy AI, medical imaging, and data science to improve diagnosis, prognosis, and treatment monitoring for neurological disorders, cancer, and cardiovascular diseases. Key focus areas include domain adaptation techniques, diffusion models, and interpretable AI systems. Led special issues in IEEE Transactions on Pattern Analysis and Medical Image Analysis Developed novel frameworks like Ordinal UDA and Memory-Consistent Adaptation Scientific accolades include the Trailblazer R21 Award (NIBIB), OpenAI Research Award, and National Artificial Intelligence Research Resource Pilot Award. He serves as Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and actively contributes to MICCAI and NIH review panels. His lab at Yale (XLiu Lab) investigates neural basis of intelligence to inspire AI development, with applications in brain tumor segmentation, cardiac imaging, and cross-modal medical diagnostics.
Dr. Barbara L. Hempstead is a Professor of Neuroscience and Medicine at Weill Cornell Medical College, where she has held positions since 2001 and 2002 respectively. Her research focuses on neurotrophin signaling mechanisms, particularly the roles of BDNF and its receptors in neuroinflammation, synaptic plasticity, and neurodegenerative diseases. She has made significant contributions to understanding proBDNF/proNGF signaling pathways in neuronal apoptosis and vascular biology. Education: M.D., Ph.D., Washington University School of Medicine (1982) B.A., Tufts University (1976) Dr. Hempstead's work bridges molecular neuroscience and cardiovascular biology, with a particular interest in receptor stoichiometry (p75NTR, TrkB), neurotrophin-induced synaptic remodeling, and therapeutic applications of neurotrophin modulators in Huntington's disease and post-seizure neuronal injury. Her lab investigates how genetic variants like BDNF Val66Met influence anxiety-related behaviors, social memory, and neurodegenerative disease progression through altered neurotrophin trafficking and signaling. Her recent publications highlight neuroinflammatory mechanisms (2023), immune-neurotrophin interactions (2022), and molecular pathways involving BDNF prodomain structure (2020) and SorCS2-mediated receptor trafficking (2017-2020). While no scientific awards are explicitly mentioned in the scraped text, her funded research (National Institute on Aging, NIMH) demonstrates sustained recognition of her work in neurotrophin biology. Dr. Hempstead's lab develops in vitro and in vivo models to study neurotrophin-receptor dynamics, including 3D culture systems for angiogenesis research and transgenic mouse models for Huntington's disease. Her interdisciplinary approach combines molecular neurobiology with vascular physiology to uncover novel therapeutic targets for neurological and cardiovascular conditions.
PD Dr. Lutz Rzehak is an academic staff member at the Institute for Asian and African Studies (IAAW) within the Faculty of Humanities at Humboldt University of Berlin, serving as a Teacher for special tasks specializing in Modern Iranian languages and the ethnography and cultural history of Afghanistan and Central Asia. His educational background includes: Oriental Studies/History from the State University of Leningrad (1985) Doctorate in Iranian Studies, Humboldt University of Berlin (1991) Habilitation in Central Asian Studies / Iranian Studies, Humboldt University of Berlin (2001) Dr. Rzehak's research spans Central Asian Studies , Iranian Studies , Ethnography , and Linguistics , with fieldwork focusing on Baloch, Pashtun, and Tajik communities. His work examines language evolution, social structures, and cultural practices through historical and contemporary lenses, particularly regarding Soviet influence and post-Taliban Afghanistan. Key contributions include grammatical analyses of Iranian languages and ethnographic studies of religious rituals and tribal systems. His recent publications (2016-2021) reveal consistent focus on Iranian language dynamics (especially Dari and Pashto), ethnic identity politics in Afghanistan, and cultural history of Central Asia. These works address language change mechanisms, ethnic consolidation strategies, and the interplay between tradition and modernity, often utilizing comparative linguistic and ethnographic methodologies. His scientific awards include: Heisenberg Fellow of the German Research Foundation Dr. Rzehak has held significant research positions including Research Associate in the Crossroads Asia Competence Network (2011-2016) and Heisenberg Fellow (2002-2011). While his CV does not list formal PhD advisees, his language lecturing and research supervision have mentored numerous students in Central Asian and Iranian studies through course instruction and fieldwork guidance. He has been actively involved in the Crossroads Asia Competence Network, a major interdisciplinary research initiative examining transregional connections and historical trajectories across Central, South, and West Asia.
