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Elena Serena Piccardi is a Senior Lecturer in Developmental Psychology at the University of East London (UEL), School of Childhood and Social Care. Her research focuses on the early development of sensory perception in infants at elevated likelihood for Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD), utilizing EEG to identify neural markers linked to sensory processing and their longitudinal relationships with behavioral and clinical assessments. Education: PhD in Developmental Cognitive Neuroscience, Birkbeck, University of London (2021) Postgraduate Certificate in Teaching and Supporting Learning in Higher Education, Birkbeck & Higher Education Academy (2019) MSc in Cognitive Neuroscience & Clinical Neuropsychology, University of Padova (2015) BSc in Clinical Psychology, University of Bergamo (2013) Elena's research explores how early sensory atypicalities in tactile, auditory, and visual domains impact later social and cognitive development. Her work emphasizes translational foundations for early intervention protocols and cross-institutional collaboration with the Centre for Brain and Cognitive Development (Birkbeck), University of East Anglia, and Cambridge University. Her recent publications span topics like sensory regulation in typical/atypical development, research reproducibility frameworks, and neural markers of tactile processing in infants. She is a Wellcome Trust Research Fellow and Local Lead for the UK Reproducibility Network, advocating for open science practices. Teaching & Public Engagement: Module Leader for PY7160 (Independent Research Dissertation, MSc) Contributor to PY6010, PY5010, and other developmental psychology courses Public dissemination: STAARScast podcast (2022), UEL Women in Science feature (2022), and international media collaborations

• A/typical development
• Individual differences
• Sensory perception
• +8 more

Dr. Lida Derevnina is a leading researcher in plant-pathogen interactions and immune receptor networks at the University of Cambridge , affiliated with the School of Biological Sciences and the Department of Plant Sciences . She heads the Crop Pathogen Immunity Group at the Crop Science Centre , focusing on NLR (Nucleotide-binding and Leucine-Rich Repeat) immune receptor networks and pathogen effector functions to engineer durable crop resistance. Education: PhD in Plant Pathology and Phytopathology, University of Sydney (2008-2012) BSc in Agricultural Science, University of Sydney (2004-2007) Her research explores how pathogens evade plant immunity through effector proteins and how NLR networks can be bioengineered to counteract these mechanisms. This work bridges molecular biology, evolutionary genetics, and sustainable agriculture, with recent advances in resistosome activation models and effectorome characterization. Scientific awards include the Crop Science Centre Fellowship (2022) , Marie Skłodowska-Curie Individual Fellowship (2016) , and the Jeanie Borlaug Laube Women in Triticum Award (2012) . Her work has been published in top journals such as Science , Nature , and PLoS Biology . Dr. Derevnina is actively engaged in public outreach, including the Talking Biotech podcast and a YouTube video explaining plant immunity . Her laboratory collaborates on projects related to global food security and pathogen genomics.

• Plant Pathology
• Plant Immunity
• Molecular Plant Pathology
• +3 more

Prof. Dr.-Ing. habil. Gero Mühl is a W2-Professor at the University of Rostock, where he holds the chair for "Architecture of Application Systems" since October 2009. His academic journey includes positions as a Heisenberg Fellow at the Technical University of Berlin (2009), postdoctoral research at TU Berlin (2002-2009), and doctoral studies at TU Darmstadt where he received his Dr.-Ing. degree with distinction in 2002. He completed dual Diplomas in Computer Science (Dipl.-Inform.) and Electrical Engineering (Dipl.-Ing.) from FernUniversität in Hagen in 1998. Prof. Mühl's research focuses on Self-Organizing Distributed Systems , with particular expertise in distributed systems, distributed algorithms, event-based systems, middleware, energy-efficient systems, organic computing, sensor networks, web services, and electronic commerce. His work bridges theoretical foundations with practical implementations in real-world distributed environments. His recent publications show a strong trend toward time-sensitive networking, content-based publish/subscribe systems, and P4 programmable data planes. These works address critical challenges in industrial communication, real-time systems, and network reliability. His research group has made significant contributions to making distributed systems more autonomous, reliable, and efficient. Scientific awards and recognitions include: Nomination for the Berlin Science Award for Young Scientists (2008) Heisenberg Fellowship by the German Research Foundation (DFG) (2008) Best paper award in System Software and Security at SAC 2015 Prof. Mühl has been actively involved in numerous research projects and collaborations, particularly focusing on self-organizing and self-stabilizing systems. His work on the REBECA publish/subscribe middleware represents a significant contribution to autonomous distributed systems. He has supervised numerous students and researchers, contributing to the development of the next generation of computer scientists specializing in distributed systems. His laboratory at the University of Rostock focuses on practical implementations of self-organizing distributed systems, with current projects investigating time-sensitive networking, publish/subscribe systems, and energy-efficient distributed computing. The team combines theoretical analysis with practical system development to address real-world challenges in industrial and commercial applications of distributed systems.

• Distributed systems
• Distributed algorithms
• Event-based systems
• +7 more

Jeffrey S. Chase is a Professor of Computer Science at Duke University in the Department of Computer Science within Trinity College of Arts & Sciences. He has held this position since 2006 and currently serves as Director of Graduate Studies. His academic career spans decades with significant contributions to distributed systems research. Chase's research focuses on operating systems and distributed systems, with particular emphasis on cloud infrastructure services, trust management and security in cloud environments, energy-aware computing, and network storage. His work has evolved to center on integrity and trust: where it comes from, how we represent it, how we reason about it in software, and how we build software systems worthy of trust. His research group has developed notable systems including ExoGENI, Silver, and ADAMANT. His recent publications demonstrate his continued focus on secure data sharing architectures, networking for multi-tenant data centers, and federated authorization systems. These works collectively address fundamental challenges in distributed computing related to security, privacy, and network performance in cloud environments. Chase has received significant research funding including the CC*Data: ImPACT project (2017-2022), Collaborative Research: CICI: Secure and Resilient Architecture (2016-2020), and TWC: Frontier: Collaborative: Rethinking Security in the Era of Cloud Computing (2013-2019). He has taught advanced courses including CPS 512: Advanced Distributed Systems, CPS 310: Operating Systems, and CPS 510: Advanced Operating Systems. His teaching philosophy emphasizes deep understanding of core distributed systems concepts with practical applications to modern cloud infrastructure.

• Distributed Systems
• Operating Systems
• Cloud Computing
• +7 more

Ozan K. Tonguz is a Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University's College of Engineering. He holds appointments with CyLab and the Carnegie Mellon-Portugal program, focusing on advanced research in telecommunications, networking, and intelligent transportation systems. His educational background includes: Ph.D. in Electrical Engineering from Rutgers University (1990) M.S. in Electrical Engineering from Rutgers University (1986) B.S. in Electronic Engineering from the University of Essex (1980) Tonguz's research spans telecommunications and networking with emphasis on vehicular networks, wireless communications, cybersecurity, and smart infrastructure systems. His work bridges theoretical networking concepts with practical transportation applications, particularly in vehicle-to-vehicle and vehicle-to-infrastructure communications. He has published approximately 300 papers in IEEE journals and conference proceedings and authored the book 'Ad Hoc Wireless Networks: A Communication-Theoretic Perspective' (Wiley, 2006). His recent publications demonstrate a strong focus on vehicular networks and intelligent transportation systems, with particular attention to traffic flow optimization, virtual traffic light systems, and the application of wireless communication technologies to solve urban transportation challenges. His research has evolved from fundamental networking concepts to applied transportation solutions with real-world implementation potential. Tonguz actively mentors PhD students and has founded Virtual Traffic Lights, LLC, a CMU spinoff company addressing transportation problems through innovative communication paradigms. His work has received attention from IEEE Spectrum and other technical publications, highlighting the practical significance of his research in intelligent transportation systems. He leads research efforts in vehicular ad hoc networks, wireless ad hoc and sensor networks, self-organizing networks, smart grid applications, and security. His Virtual Traffic Lights technology has demonstrated potential to increase urban traffic flows by 60% during rush hours, with implications for reducing commute times, mitigating congestion, and supporting greener environments.

• Telecommunications
• Networking
• Wireless Networks
• +9 more

Karen Mundy is a Professor of Educational Leadership and Policy at the University of Toronto's Ontario Institute for Studies in Education (OISE), cross-appointed to the Munk School of Global and Public Affairs. She holds the distinction of being a former Canada Research Chair (2002-2012) and has served as Associate Dean of Research and Innovation (2012-2014) and Director of the Comparative, International and Development Education Centre (CIDEC) at OISE (2002-2011). Dr. Mundy's research interests focus on education in the developing world , the global politics of 'education for all', educational policy and reform in Sub-Saharan Africa, and the role of civil society organizations in educational change. Her scholarly work bridges academic research with practical policy implementation, making significant contributions to both theoretical understanding and real-world educational challenges globally. Her recent publications demonstrate a strong focus on foundational learning challenges, particularly literacy and numeracy in low-income countries, as well as responses to educational disruptions like the COVID-19 pandemic. Her influential 2021 article 'Why Do We Keep Failing to Universalize Literacy?' critically examines global education architecture and challenges prominent actors like the Gates Foundation to rethink their approaches to educational reform. Two-time winner of the Bereday award for best article in the Comparative Education Review (1998, 2015) Named among Canada's 10 best educators by Time Magazine (2002) President of the Comparative and International Education Society (2014-2015) Dr. Mundy has supervised more than two dozen PhD students to completion and has received research funding from major organizations including the Gates Foundation. Her practical policy work includes serving as Chief Technical Officer at the Global Partnership for Education (2018-2022), where she led the development of strategic frameworks and built the Education Policy and Performance Team from one person to a group of 25 technical experts. She has advised numerous international organizations including the World Bank, UNESCO, UNICEF, and the Mastercard Foundation.

• Education in the developing world
• Global politics of education for all
• Educational policy and reform in Sub-Saharan Africa
• +5 more

Ismene Petrakis is a Professor of Psychiatry at Yale School of Medicine and Director of the Mental Health Service Line at VA Connecticut Healthcare System since 2010. She also leads the ACGME-accredited Addiction Psychiatry Residency program at Yale and serves as Principal Investigator for NIAAA- and NIDA-funded training grants . Her clinical and research focus bridges alcohol dependence , comorbid psychiatric disorders , and veterans' health . Research Pillars : Pharmacotherapies for dually diagnosed patients Neurobiological mechanisms of alcoholism PTSD-alcohol comorbidity Genetic risk in substance use Methodological Expertise : Multicenter clinical trials Neurotransmitter system analysis Population-based epidemiology Translational neuroscience Key Publications (2024-2025) : Investigations into GLP1R gene expression in kidney disease Dexmedetomidine for comorbid alcohol-PTSD Cognitive training combinations for alcohol use disorder PTSD treatment effects on neurobiological markers Chronic pain-alcohol use syndemic Collaborative Networks : Yale-Drug use, Addiction, and HIV prevention Research Scholars Neuroscience Research Training Program Collaboration with Department of Anesthesiology

• Alcoholism
• Comorbidity
• Neurobiology
• +5 more

Professor Charlotte Stagg is based at the Nuffield Department of Clinical Neurosciences (NDCN) within the University of Oxford . She serves as Associate Director of the Oxford Centre for Integrative Neuroimaging and holds a Beale Fellow in Medicine position at St Hilda's College. Her research focuses on the physiological mechanisms of motor learning and stroke recovery, utilizing multimodal neuroimaging and brain stimulation techniques. Research Interests : GABA signaling, neuroplasticity, transcranial ultrasound, stroke neurorehabilitation Techniques : 7T MRI, MEG, non-invasive brain stimulation, neurochemistry Selected Scientific Awards : Wellcome Trust Senior Research Fellow Beale Fellow in Medicine, St Hilda's College Collaborations : Leads the Physiological Neuroimaging Group (PiNG), part of the Neuroplastics Collaborative Network with groups led by Heidi Johansen-Berg and Jacinta O'Shea. Current advisees include DPhil student Birtan Demirel and visiting researchers from HEC Montréal and The University of Manchester.

• Human Neurophysiology
• Motor Learning
• Neurorehabilitation
• +6 more

Brett Hemenway Falk is a Researcher in the Department of Computer and Information Science at the University of Pennsylvania. He serves as director of the Crypto and Society Lab, focusing on privacy and security in digital environments and facilitating transparency and trust. His work combines rigorous mathematical approaches with practical implementations in cryptography and blockchain technology. Education: Sc.B. in Mathematics from Brown University Ph.D. in Mathematics from UCLA Research Interests include: Cryptography and secure multi-party computation protocols Blockchain technology (cross-chain interoperability, financial network stability, on-chain governance) Privacy-preserving algorithms and data security Coding theory applications in secure systems Scientific Contributions include: Developing practical secure computation protocols Advancing ORAM (Oblivious RAM) architectures Analyzing decentralized governance mechanisms Exploring DeFi network stability and token economics His teaching activities feature the popular MCIT 582 Blockchain course at Penn. Research funding comes from NSF, DARPA, IARPA, ONR, ARL, NIH , and the Laura and John Arnold Foundation.

• Cryptography
• Blockchain
• Computer Security
• +5 more

Mikael Johansson is a Professor at Kungliga Tekniska Högskolan (KTH), specializing in Control Technology . He teaches and coordinates courses such as Distributed Optimization (FEL3311) and various advanced-level degree projects in computer science, electrical engineering, and systems engineering. His research spans Control Systems , Machine Learning , and Optimization , with a focus on asynchronous algorithms, federated learning, and applications in energy systems and construction. His work includes 15 recent publications on topics like neural networks, distributed optimization, and battery technology. Notable areas of contribution are in asynchronous learning, federated learning with privacy constraints, and quasi-Newton methods for optimization. His research bridges theoretical advancements with practical applications in urban design, healthcare, and autonomous systems.

• Control Technology
• Distributed Optimization
• Machine Learning
• +4 more

Mikael Gidlund is a Full Professor of Computer Engineering at Mid Sweden University in Sundsvall and holds an adjunct professorship at Beijing Jiaotong University, China. He serves as head of the Computer Engineering subject and program manager for the international MSc program in Computer Engineering. His academic journey includes a Ph.D. in Electrical Engineering from Mid Sweden University (2005), followed by roles at ABB Corporate Research (2008-2014) where he led wireless technologies research. Dr. Gidlund's research spans Wireless Communication, Industrial IoT, 5G/6G Networks, and Network Security . His group focuses on AI/ML for beyond-5G wireless communication, time-critical industrial applications, and IoT security. Current research themes include Future Wireless Networks (5G/6G) using AI/ML, Time-and mission-critical wireless communication, Industrial IoT, and IoT Security. His work demonstrates strong interdisciplinary connections between wireless systems, industrial automation, and security. His publication portfolio includes over 200 scientific articles and 20+ patents. Recent publications show a clear trend toward AI/ML integration in wireless systems, NOMA techniques, RIS technologies, and security solutions for industrial applications. The research output demonstrates strong international collaboration across six continents. Best Paper Award at IEEE International Conference on Industrial IT (2014) Co-author of IEEE Sweden VT-COM-IT Joint Chapter Best Student Journal Paper Award (2022) Dr. Gidlund actively mentors 6 current PhD students and has supervised 16 former PhD students who now hold positions at institutions including Ericsson, Lund University, Aalborg University, and Mid Sweden University. His research is supported by multiple active projects including IRS TransTech, NIIT, ENSURE 6G, and TRUST. He collaborates with institutions worldwide including City University of Hong Kong, Iowa State University, Kyung Hee University, and KTH Royal Institute of Technology. His research group maintains strong industry connections through projects with ABB, Ericsson, and other industrial partners, focusing on practical implementations of wireless technologies for industrial automation and critical infrastructure.

• Wireless Communication
• Wireless Sensor Networks
• Industrial IoT
• +5 more

Quan Quan Tan is a Research Fellow at Nanyang Technological University (NTU), Singapore, specializing in symmetric-key cryptanalysis and automation tools. He previously served as a Cybersecurity Engineer at CSIT, Singapore for nearly two years. His educational background includes: Ph.D. in Mathematical Sciences from NTU (2023) under Prof. Thomas Peyrin. Thesis: "Cryptanalysis of Lightweight Symmetric-Key Cryptographic Algorithms" M.Sc. in Mathematical Sciences from NTU, with research on optimization techniques for block cipher hardware implementations B.Sc. in Mathematical Sciences from NTU Dr. Tan's research focuses on automation in cryptographic design and analysis, emphasizing secure symmetric-key primitives and advanced cryptanalysis tools. His work bridges theoretical cryptography with practical security engineering through algorithm development and vulnerability assessment. Analysis of his 2020-2025 publications reveals dominant themes in symmetric-key cryptanalysis, including innovative meet-in-the-middle attacks, differential cryptanalysis frameworks, and automated verification systems. His contributions span attack methodologies (e.g., higher-order differential-linear techniques), tool development (Trail-Estimator), and novel cipher design (uKNIT-BC), demonstrating consistent advancement in lightweight and low-latency cryptographic systems.

• Cryptography
• Symmetric-key Cryptanalysis
• Automated Cryptanalysis
• +2 more

Flavio Esposito is an Associate Professor in the Computer Science Department at Saint Louis University's School of Engineering. He also serves as a Research Institute Fellow and CS Graduate Coordinator. His office is located in ISE 234D at 3450 Lindell Blvd, St. Louis, MO. Dr. Esposito's research focuses on cyber-physical systems and networked systems, including network virtualization, network management, Software-Defined Networks (SDN), network architectures, and wireless networks. He has a strong interest in interdisciplinary applications of these technologies to medicine and agriculture. His work bridges theoretical networking concepts with practical implementations. His publications span key areas in networking research, with recent work focusing on congestion control algorithms, virtual network embedding, recursive network architectures, and edge computing applications. The research trends show a progression from foundational networking protocols toward more sophisticated applications integrating machine learning, edge computing, and cyber-physical systems, with increasing emphasis on real-world applications in diverse domains. Outstanding Graduate Mentoring Faculty Award from the School of Engineering (2021) Finalist for the Undergraduate Mentoring Award in the College of Arts and Sciences Multiple NSF research awards including US Ignite, ICE-T, CNS Core, CC* Integration, CPS:TTP, and ModernCARE projects COMCAST Innovation Fund Award (January 2020) International Center for Responsible Gaming (ICRG) Award ($150K) Dr. Esposito actively mentors PhD and MS students, with numerous current and past students who have gone on to positions at major tech companies, universities, and research institutions. He has been a Principal Investigator on multiple significant research grants totaling millions of dollars. He co-founded Spaghetti Code Labs with former PhD student Alessandro Sangiorgi, whose cybersecurity educational app WeeNet has achieved 5.7M+ downloads. He leads several research labs and teams focused on cyber-physical systems, with current openings for PhD students, visiting researchers, and postdocs working on networks, learning, edge computing, and applications to medicine and agriculture. His teams have developed numerous software systems including Software Mutant, Neighborhood Method Prototype, VINEA, ProtoRINA, and BUtorrent.

• Cyber-physical Systems
• Networked Systems
• Network Virtualization
• +5 more

Jacob Young, MD, is an Assistant Professor in the Department of Neurological Surgery at the University of California, San Francisco (UCSF) School of Medicine and a Principal Investigator in the UCSF Brain Tumor Center. His clinical practice focuses on neurosurgical management of adult brain tumors including gliomas, metastatic tumors, and meningiomas, utilizing advanced brain mapping techniques to preserve critical motor, language, and sensory functions during resection. Dr. Young's educational background includes a BS in Neuroscience from Duke University (2012), an MD from the University of Chicago Pritzker School of Medicine where he was elected to Alpha Omega Alpha Honor Medical Society (2017), and a neurosurgery residency at UCSF (2017-2024). His research program integrates laboratory investigations with clinical trials to address fundamental challenges in brain tumor treatment. His primary research interests center on understanding glioblastoma immune microenvironment dynamics and developing innovative therapeutic strategies. Key focus areas include: First-in-human clinical trials of novel immunotherapies Focused ultrasound-mediated blood-brain barrier disruption to enhance drug delivery Longitudinal molecular profiling of tumor evolution during treatment AI-driven tools for patient care navigation and clinical trial assessment Prospective outcomes research through the RANO resect group and NeuroPoint Alliance His work bridges fundamental tumor biology with translational applications to overcome treatment resistance. Analysis of Dr. Young's 15 most recent publications (2023-2025) reveals a strong emphasis on surgical innovation, tumor immunology, and molecular characterization. Key trends include: development of prognostic classification systems for resection extent, investigation of glioma-neuronal circuit interactions driving immunosuppression, and optimization of drug delivery strategies. His collaborative work within the RANO consortium establishes evidence-based surgical guidelines while his lab's focus on microenvironmental factors informs next-generation immunotherapies. Dr. Young has received significant recognition including: Chan-Zuckerberg Physician Scientist Fellowship (2021-2022) ASCO Young Investigator Award (2022-2023) Andrew J. Lockhart Focused Ultrasound Fellowship (2023) Multiple Harold Rosegay Teaching Awards from UCSF Howard Naffziger Award for Clinical Excellence His research is supported by NIH, NCI, Focused Ultrasound Foundation, and AANS grants. As lab director, Dr. Young mentors a diverse team including PhD candidates like Edward Valenzuela (DSCB program) and specialists in immunology and neuro-oncology. His lab participates in the RANO resect group, ENCRAM research program, and NeuroPoint Alliance to advance clinical protocols. Current projects include developing intraoperative focused ultrasound prototypes, single-cell analysis of tumor evolution, and AI tools for patient navigation through care pathways. Future work focuses on translating microenvironment discoveries into combination therapies targeting treatment resistance mechanisms.

• Neuro-oncology
• Glioblastoma
• Brain Tumor Immunology
• +6 more

Mark Iscoe, MD, MHS is an Assistant Professor of Emergency Medicine and Biomedical Informatics and Data Science at Yale School of Medicine. He holds fully joint appointments in both the Department of Emergency Medicine and the Department of Biomedical Informatics & Data Science, reflecting his interdisciplinary work at the critical intersection of clinical emergency care and health informatics innovation. Dr. Iscoe completed his medical degree at Johns Hopkins University School of Medicine in 2017, followed by residency training in Emergency Medicine at New York University / Bellevue Hospital in 2021. He further specialized with a Master of Health Science (MHS) in Clinical Informatics from Yale School of Medicine in 2023. He is board certified in both Emergency Medicine (2022) and Clinical Informatics (2024). His research spans several interconnected domains with a focus on optimizing the interface between emergency physicians and health information technology. Key areas include electronic health record (EHR) optimization, artificial intelligence applications in emergency settings, clinical decision support systems, and medication safety protocols. His 2024 JAMA Network Open publication 'Benchmarking Emergency Physician EHR Time per Encounter Based on Patient and Clinical Factors' represents a significant contribution to understanding the digital burden on emergency clinicians. More recently, he has pioneered work applying large language models to emergency medicine challenges, with multiple 2025 publications on AI applications for deprescribing, symptom identification, and risk stratification. His research trajectory shows a clear evolution from foundational EHR usage studies toward increasingly sophisticated AI implementations that bridge theoretical informatics with practical clinical tools in high-pressure emergency settings. YCCI Scholar Award for AI Research on Drug Reactions (2024) Dr. Iscoe has received research funding from multiple prestigious sources including the National Institute on Drug Abuse (NIDA), the American Medical Association (AMA), the National Institutes of Health, and Yale New Haven Health System. His collaborative network includes prominent researchers such as Andrew Taylor (6 joint publications), Ted Melnick (5 joint publications), and Rohit Sangal (4 joint publications), reflecting his work's multidisciplinary nature spanning clinical departments, informatics specialists, and data scientists.

• Clinical Informatics
• Emergency Medicine
• Electronic Health Records
• +5 more