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Hermona SoreqView profile

Professor

• Molecular Neuroscience
• Cholinergic Signaling
• MicroRNA Regulation
• +6 more

Hermona Soreq is a Professor in the Department of Biological Chemistry at The Hebrew University and a founding member of the Edmond and Lily Safra Center for Brain Sciences (ELSC). Her career spans leadership roles as Dean of the Faculty of Mathematics and Natural Sciences (2005-2008), Vice Dean for R&D (2002-2005), and Head of multiple institutes, including the Eric Roland Center for Neurodegenerative Diseases (2000-2005). Current Positions: Professor of Molecular Neuroscience, ELSC Founding Member Previous Leadership: Dean, Vice Dean, Institute/Department Head Her research focuses on the molecular biology and genomics of acetylcholine signaling, particularly microRNA regulation (CholinomiRs) in stress-induced cognitive decline and neurodegenerative diseases. She pioneered the development of Quantum Dot labeling tools for cholinesterases. Her publications include 10 high-impact works (e.g., Science , Nature , PNAS ) spanning: MicroRNA-132 in inflammation and cognition Cholinergic signaling in stress and trauma RNA metabolism in Alzheimer’s disease MicroRNA-target interactions in metabolic disorders Scientific honors include: Advanced ERC Award (2013-2018) ILANIT-Katzir Prize (2017) Historic contributions to cholinergic mechanisms

Martin BossertView profile

Professor

• Channel Coding
• Communications Engineering
• Digital Media
• +3 more

Prof. Martin Bossert is a Senior Professor at the Institute of Communications Engineering, Ulm University. His research interests span channel coding, communications engineering, and applications of information theory in molecular biology. He has authored numerous books, including Introduction to Communications Engineering and Channel Coding . Notable awards include the Vodafone Innovationspreis 2007. He advises students like Sandra Bender and contributes to academic discourse through peer-reviewed articles. His work bridges theoretical foundations with practical telecommunications challenges. Education: Doctorate in Engineering (Dr.-Ing.) His research emphasizes coding theory, signal processing, and interdisciplinary applications in biology. Recent work explores quantization techniques in bandlimited channels and molecular information systems. He collaborates with industry and academic partners, contributing to advancements in digital networks and media technologies.

Jason ClarkeView profile

Lecturer

• Visual Perception
• Time Perception
• Attention
• +4 more

Jason Clarke is a Lecturer in Psychology at the University of West London, affiliated with the School of Human and Social Sciences. He holds a B.A. (Hons) in Classical Studies from University College London, an M.A. and Ph.D. in Psychology from The New School for Social Research. His career includes roles as a Postdoctoral Teaching and Research Fellow in the Sensation and Perception Laboratory at The New School (2014–2017), Visiting Assistant Professor at SUNY Farmingdale (2018–2020), and part-time lecturing at institutions like the City University of New York and Princeton University. Clarke’s research focuses on cognitive processes underlying visual perception, time perception, and consciousness. He integrates predictive processing frameworks (e.g., Free Energy Principle) to explore how expectation and attention shape conscious experience. His book, *Constructing Experience: Expectation and Attention in Perception* (2024), synthesizes empirical findings on inattentional blindness and change blindness. Key research directions include the role of generative models in perception and the quantum/classical probability debate in cognition. Education : B.A. Classical Studies, University College London M.A. Psychology, The New School for Social Research Ph.D. Cognitive Psychology, The New School for Social Research Teaching : Cognitive Psychology Cognitive Neuroscience Sensation and Perception His PhD students Becky Tyler (attention-expectation interactions) and Gergely Gerstmayer (gravity’s impact on time perception) extend his work into applied domains like spaceflight adaptation and virtual reality. Clarke’s research aligns with UN SDGs 3 (Health), 4 (Education), and 9 (Innovation). Clarke has contributed to courses across undergraduate and postgraduate programs at UWL, including BSc Psychology, MSc Psychology of Mental Health, and PhD Psychology.

Stefanie LiebeView profile

Physician Scientist

• Neuroscience
• Clinical Neuroscience
• Artificial Intelligence in Healthcare
• +3 more

Dr. Stefanie Liebe is a Principal Investigator at the Universitätsklinikum Tübingen and a Clinician Scientist affiliated with the Cluster of Excellence ‘Machine Learning for Science’. Her work bridges clinical and computational neuroscience, focusing on neural mechanisms of memory, perception, and epilepsy diagnostics using AI. She leads projects on theta-gamma oscillations in sequence memory, seizure behavior mapping, and spatial hearing modeling. Her team includes PhD students Meghal Dani, Muthu Jeyanthi Prakash, and Mohammed Raees MK. Collaborations span institutions like the Max Planck Institute and the University of Bonn. She holds grants from Else Kröner, DFG, and the MSCA CherISH network. Education: Psychology (TU Dresden), Neuroscience PhD (Max Planck), Medical training (Tübingen/Bonn). Her research integrates invasive neurophysiological recordings, recurrent neural networks, and clinical data analysis to advance diagnostic tools for epilepsy and cognitive neuroscience. Key Projects: Multimodal seizure analysis, spatial hearing computational models, neural oscillations in MTL. Funding: Else Kröner Graduierten Kolleg, DFG Priority Program ‘Sensing LOOPS’, MSCA CherISH.

Emma Butler-WayView profile

Lecturer

• Victorian Fiction
• Neo-Victorian Fiction
• British Literature
• +3 more

Emma Butler-Way is a Lecturer in the Integrated Foundation Year Programme at Aberystwyth University , specializing in Victorian and Neo-Victorian Fiction. Her research explores textual representations of the corset, fashion narratives, and the female body in 19th-century British literature. She teaches Humanities-focused modules for students transitioning into English, Creative Writing, and Theatre/Film departments. Education : PhD in English Literature (Aberystwyth University, 2022), MA in Literary Studies, BA (Hons) in English Literature. Her research integrates literary analysis with interdisciplinary themes such as fashion history, affect theory, and cultural memory. Key subfields include liminality, sartorial symbolism, and the reinterpretation of Victorian motifs in contemporary transmedia works like Steampunk London. Recent publications focus on the intersection of dress and identity in sensation fiction, examining authors like Wilkie Collins, Sarah Waters, and Laura Purcell. Her work emphasizes how material objects (e.g., corsets) reflect societal constraints and gender dynamics. She actively participates in academic conferences, including the Victorian Popular Fiction Association, and co-organized the workshop The Syria of Aberystwyth (2023). Contact email: emb72@aber.ac.uk .

Noreen RobertsonView profile

Assistant Professor

• Cancer Biology
• Inflammatory Disease
• Molecular Biology
• +3 more

Noreen Robertson, DMD, is an Assistant Professor in the Department of Biochemistry & Molecular Biology at Drexel University College of Medicine and serves as the Associate Vice Dean for Research. Her roles include fostering interdisciplinary research collaborations and overseeing research infrastructure to enhance translational science and medical education. Education: DMD from Temple University School of Dentistry (1990), BA from West Chester University (1980), and a Postdoctoral Fellowship at the Kimmel Cancer Center, Thomas Jefferson University (1995). Research Interests: Cancer biology, inflammatory diseases, apoptosis regulation, and molecular mechanisms of hormone receptors. Her work focuses on glucocorticoid/mineralocorticoid signaling, airway inflammation, and embryo implantation biomechanics. Her publications span over three decades, emphasizing apoptosis modulation, cytokine interactions, and translational research in oncology and immunology. Notable contributions include studies on TRAIL signaling in cancer cells and L-selectin-mediated embryo implantation mechanics. Awards: Lifetime Achievement Award (2024) from the Sidney Kimmel Cancer Center Research Consortium for her leadership in collaborative research. She oversees research initiatives that bridge clinical practice and basic science, including core facilities and grant development. Her administrative leadership supports Drexel’s bid for National Cancer Institute comprehensive cancer center designation. Labs/Teams: Integral to the Sidney Kimmel Cancer Center Research Consortium, collaborating across institutions and disciplines to reduce cancer burden in Philadelphia and surrounding regions.

Alireza EsfahaniView profile

Senior Lecturer

• Cybersecurity
• Network Security
• IoT Security
• +5 more

Dr. Alireza Esfahani is a Senior Lecturer in Cyber Security at the School of Computing and Engineering (SCE) at the University of West London, where he also serves as the Course Leader for the BSc (Hons) Cyber Security and BSc (Hons) Cyber Security with Foundation Year programs. Previously, he held a lecturing position at the University of Greenwich from 2021 to 2023. He earned his PhD in Telecommunications from the University of Porto, Portugal, through the MAP-TELE doctoral program in 2017, followed by postdoctoral research at the Instituto de Telecomunicações in Portugal (2017–2019). Education: PhD in Telecommunications (University of Porto, 2017) Experience: Research Associate at SnT-CritiX (University of Luxembourg), contributing to EU cybersecurity projects SPARTA and CyberSec4Eu Affiliations: European Cyber Security Organisation (ECSO) and IEEE member Research Interests: Dr. Esfahani focuses on cybersecurity in IoT, connected vehicles, intrusion detection, machine learning applications, and semiconductor supply chain security. His work emphasizes secure authentication mechanisms, network coding security, and resilient systems design. Teaching: He teaches courses in BSc and MSc programs, including Cyber Security, Computer Science, and specialized modules in network security and secure communication protocols. Grants & Projects: Instrumental in EU-funded initiatives like SPARTA and CyberSec4Eu, focusing on cybersecurity frameworks and distributed systems. Labs/Teams: Collaborated with SnT-CritiX at the University of Luxembourg, developing cybersecurity solutions for critical infrastructure.

Gabriella R. SterneView profile

Assistant Professor

• Neuroscience
• Molecular Biology
• Genetics
• +3 more

Gabriella R. Sterne, Ph.D., is an Assistant Professor in the Department of Biomedical Genetics and the Department of Neuroscience at the University of Rochester School of Medicine and Dentistry (SMD). She holds joint appointments in both departments and leads the Sterne Lab, focused on understanding neural circuit mechanisms underlying feeding behaviors. Dr. Sterne earned her Ph.D. in Neuroscience from the University of Michigan (2016) and a B.A. in Biology from Whitman College (2010). Her research integrates experimental and computational approaches to study how neural circuits coordinate feeding motor programs, time feeding intervals, and store feeding-related memories using Drosophila as a model system. Key research themes include: Feeding Motor Sequences : How circuits orchestrate rhythmic motor actions like proboscis extension. Feeding Microstructure : Neural coding strategies for timing feeding rhythms across timescales. Feeding Memories : Circuit mechanisms linking taste experiences to long-term behavioral adaptations. Her lab collaborates extensively with neuroimaging and computational teams, contributing to projects like the Drosophila connectome mapping. Recent work includes computational brain models and neuroendocrine pathway discoveries influencing feeding behavior. Lab Members include postdoctoral scholars, graduate students (e.g., Gladys Leitch studying hunger modulation), and undergraduates involved in neuroanatomy visualization and synaptic quantification projects. The lab is affiliated with the Biomedical Genetics and Genomics, Neurobiology & Anatomy, and Neuroscience Ph.D. programs. Lab location: KMRB 2-9639, 601 Elmwood Ave, Rochester, NY 14642.

Hsiao-Chun WuView profile

Professor

• Statistical Learning
• Digital Signal Processing
• Wireless Communications
• +9 more

Hsiao-Chun Wu is a Professor and holder of the Michel B. Voorhies Professorship at Louisiana State University (LSU), affiliated with the Division of Electrical & Computer Engineering within the School of Electrical Engineering and Computer Science. He earned his Ph.D. in 1999 from the University of Florida. His research focuses on statistical learning, embedded algorithms, digital signal processing, and wireless communications. Key areas include optimization techniques for detection and estimation, image/speech processing, and networked systems design. He has contributed to advancements in sensor deployment strategies, tensor-based signal processing, and machine learning applications for posture recognition and multimedia classification. Notable technical interests span computational photography, robust multichannel decorrelation, and energy-efficient data collection in wireless sensor networks. His work often integrates tensor analysis and graph convolutional networks to address challenges in high-dimensional data processing. Dr. Wu's academic contributions include pioneering methods for indoor line-of-sight coverage optimization and developing novel modulation recognition techniques. His research also addresses industrial IoT performance optimization and biomedical applications such as noninvasive activity recognition using mmWave radar.

Franz LampelView profile

Research Fellow

• Signal Processing
• Communication Systems
• Radar Technology
• +4 more

Franz Lampel is a Research Fellow at Eindhoven University of Technology's Signal Processing Systems department. He holds a B.Sc. (2015), M.Sc. (2018) from Graz University of Technology, and a Ph.D. (2024) from TU/e. His research focuses on signal processing for joint communication and sensing, waveform design, and radar-communication integration, particularly in automotive applications. He contributes to projects like IT-JCAS (2024–2028) and DIGI-OPT (2018–2026). Education: Bachelor's in Electrical Engineering, Graz University of Technology (2012–2015) Master's in Electrical Engineering, Graz University of Technology (2015–2018) Ph.D. in Joint Radar and Communication Techniques for Automotive Applications, TU/e (2024) Research interests include waveform design for radar-communication coexistence, dispersive channel equalization (e.g., OTFS modulation via Zak transforms), and FMCW radar signal processing. His work bridges theoretical signal processing with practical automotive and communication systems. Recent publications address OTFS equalization, radar dispersion compensation, and OFDM waveform optimization. He collaborates on projects like the Integrated Cooperative Automated Vehicles initiative (2016–2021), focusing on automotive radar systems. His lab affiliations include the Information and Communication Theory Lab at TU/e.

Ioan TurcuView profile

Researcher

• Molecular Physics
• Nanotechnology
• Biophysics
• +3 more

Dr. Ioan Turcu is a Senior Researcher (R4) at the National Institute for Research and Development in Isotopic and Molecular Technologies (INCDTIM) , Cluj-Napoca, Romania. He holds a PhD in Physics (1996) from the Horia Hulubei National Institute for Nuclear Physics and Engineering. Education MSc in Physics (1980) – Faculty of Physics, University of Bucharest PhD in Physics (1996) – Horia Hulubei National Institute for Nuclear Physics and Engineering His research spans multiple domains including molecular physics, self-assembly of supramolecular systems, light scattering in biological media, and molecular recognition. He has pioneered studies on antimicrobial peptides , plasmonic biosensors , and bio-polymer nanocomposites . His work integrates theoretical modeling with experimental techniques like fluorescence spectroscopy, Raman spectroscopy, and molecular beam epitaxy. Dr. Turcu has led and participated in numerous national and international projects such as: PED-2021-1998 : Development of SERS aptasensors for medical diagnosis PED-2021-0795 : Eco-friendly nanocomposites for automotive applications PED-2021-3342 : Photothermal antimicrobial wound dressings His publications focus on antimicrobial peptides, supramolecular self-assembly, and advanced nanotechnologies for biomedical and environmental applications.

• Machine Learning
• Wireless Communications
• Signal Processing
• +3 more

Dr. Donghun Lee is a Professor in the School of Mechanical Engineering at Soongsil University, South Korea. His research focuses on interdisciplinary areas spanning Machine Learning, Wireless Communications, and Control Systems. He holds a PhD from Princeton University (2019), where his dissertation explored Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon . His work bridges theoretical advancements with practical applications in IoT, manufacturing systems, and signal processing. Research Interests : - Machine Learning (Reinforcement Learning, Deep Learning) - Wireless Communications (Secrecy Communications, MIMO Systems) - Control Systems (Power Electronics, Optimization) - IoT Networks and Smart Manufacturing Recent Trends in Publications : Dr. Lee's recent work emphasizes practical applications of AI in manufacturing (e.g., OLED display scheduling), secure wireless protocols, and efficient neural network architectures. His 2025 papers highlight contributions to financial network analysis and sparse coding techniques for low-latency communications. Awards & Grants : No awards explicitly listed in the text, but his extensive publication record suggests sustained research funding. Labs/Teams : Collaborates widely across disciplines, with affiliations to robotics, signal processing, and semiconductor research groups.

Maarten BoksemView profile

Associate Professor

• Decision Neuroscience
• Consumer Behavior
• Neuroimaging
• +2 more

Maarten Boksem is an Associate Professor at Rotterdam School of Management, Erasmus University Rotterdam. His research investigates neural underpinnings of human behavior, including cheating, decision-making, and consumer responses using EEG/fMRI. Key interests: neural decoding of psychological states, movie/advertisement neural predictors, and cognitive control in ethical decisions. He directs studies on dishonesty modulation and neural reward signatures. Publications focus on neuromarketing, neural connectivity, and individual differences in behavior. Recent work predicts stock performance from investor brain activity. Awards include ERIM Early Career Fellowship (2010). He mentors PhD candidates in consumer neuroscience and decision modeling.

• Gene Therapy
• Vascular Biology
• Renal Disease
• +4 more

Dr Laura Denby is an Affiliate at the University of Glasgow's School of Cardiovascular & Metabolic Health. Her research focuses on gene therapy, vascular biology, renal disease, microRNA mechanisms, and hypertension. She has contributed extensively to understanding molecular pathways in kidney and cardiovascular diseases. Her recent publications highlight roles of microRNAs (e.g., miR-214, miR-29) in renal fibrosis and hypertension, along with innovations in adenovirus vector engineering for targeted gene delivery. She explores interactions between coagulation factors and viral vectors, phosphate toxicity in vascular function, and angiotensin pathways in fibrosis prevention. Dr Denby's work spans interdisciplinary fields including Nephrology, Cardiovascular Science, and Molecular Medicine. She investigates gene delivery systems, microRNA biomarkers, and pharmacological interventions for hypertension and kidney disease. Her current projects emphasize vascular-targeted therapies and RNA-based disease mechanisms.

• Plant Genetics
• Molecular Biology
• Transcriptional Regulation
• +7 more

Marco Busscher is a researcher at BIOS Plant Development Systems , part of Wageningen University & Research . His work focuses on molecular plant development and host-pathogen interactions, particularly in dandelion and Arabidopsis systems. Research Interests: Transcriptional regulation, phytoplasma infections, gene diversification, transposable elements, and environmental temperature responses in plants. Key Collaborations: University of East Anglia, Max Planck Institute for Plant Breeding Research, Keygene, and Wageningen University & Research. His recent publications highlight protein interaction networks, ubiquitin-independent degradation mechanisms, and genomic insights into floral development. Notable work includes the discovery of a PARTHENOGENESIS allele in dandelion with implications for plant biotechnology. Research output spans peer-reviewed journals and datasets in plant transcriptomics.