Dr. Amir Ebrahimi is a Senior Research Fellow at the School of Engineering, RMIT University. His research focuses on microwave-based sensing technologies, metamaterials, and their applications in biomedical engineering, environmental monitoring, and communications. He holds an ORCID identifier (0000-0002-0858-4958) and is open to supervising Masters and PhD students in areas such as microwave sensors for concrete structures, IoT antennas, and microfluidic devices. Research interests include Electrical Engineering, Communications Technologies, Materials Engineering, Optical Physics, and Analytical Chemistry . His work bridges theoretical design and practical implementation, addressing challenges in sensor sensitivity, material characterization, and reconfigurable RF systems. Recent projects include developing wearable sweat sensors, detecting honey adulteration via microwave techniques, and designing graphene-based terahertz absorbers. Though no scientific awards are explicitly mentioned, his contributions span over 100 peer-reviewed articles and innovative sensor prototypes. Dr. Ebrahimi supervises research projects on flexible electronics, microwave-enabled microfluidics, and metamaterial antennas. He collaborates on lab-on-a-chip technologies for cancer cell detection and nano-scale vacuum circuits for satellite communications.
Christopher Gerard McCusker is a Senior Lecturer, Head of School, and Director of the Doctor of Clinical Psychology program at University College Cork (UCC). He holds a joint academic-clinical background, previously serving at Queen’s University Belfast and Belfast Health and Social Care Trust. His primary roles include pediatric psychology, neuropsychology, and clinical training leadership. Education: B.A. (Psychology, Queen’s University Belfast), Ph.D. (Psychology, Queen’s University Belfast), M.Sc. (Clinical Psychology, Institute of Psychiatry, Kings College London). Research Focus: Neurodevelopmental outcomes in congenital heart disease (CHD), family-centered interventions, and psychological processes in chronic childhood illnesses. His work spans 30+ years, with major contributions to the Congenital Heart Disease Intervention Programme (CHIP), evaluating interventions for children with CHD and their families. Grants: Over €1 million in grants, including €300k for the Family First intervention for brain injury recovery and €60k for longitudinal CHD outcomes research (CHIP III). Awards: 2016 British Psychological Society awards for Clinical Psychology Team of the Year and Outstanding Contribution, plus the Judith Houghton Award for pediatric psychology. Teaching & Leadership: Director of Clinical Psychology training programs at UCC and Queen’s University Belfast. Active in professional bodies, including the British Psychological Society’s Clinical Psychology Division and Northern Ireland health policy advisory roles. Key Collaborations: Partnerships with global institutions (e.g., University of Gothenburg, Erasmus University Rotterdam) and clinicians addressing CHD, ADHD, and neurodevelopmental disorders.
Barbara J. Wold is the Bren Professor of Molecular Biology and Merkin Institute Professor at the California Institute of Technology (Caltech), where she has held continuous faculty appointments since 1978. Her leadership roles include Director of the Beckman Institute (2001-2011) and Director of the Merkin Institute (2019-2023), reflecting her significant institutional impact. Her academic journey began with a B.S. from Arizona State University (1973) followed by a Caltech Ph.D. (1978). She advanced through Caltech's faculty ranks from Research Fellow (1978) to Assistant Professor (1981-1988), Associate Professor (1988-1996), Professor (1996-2002), Bren Professor (2003-), and Merkin Institute Professor (2024-). Dr. Wold's research centers on transcriptional networks in mouse and human systems, integrating molecular biology, cellular biology, developmental biology, biochemistry, and biophysics . Her work pioneers single-cell and spatial transcriptomics approaches to decode gene regulation across tissues and developmental stages, with particular emphasis on cellular heterogeneity and regulatory dynamics. Analysis of her 2022-2025 publications reveals dominant themes in large-scale collaborative genomics , including leadership in the Human Cell Atlas and ENCODE projects. Key methodological contributions span spatial transcriptomics for kidney disease modeling, cross-strain mouse genomics, long-read RNA-seq validation, and ethical frameworks for international data sharing, demonstrating her dual focus on technical innovation and responsible science. Her distinguished career is marked by two named professorships: the Bren Professorship (2003) and Merkin Institute Professorship (2024), recognizing her transformative contributions to molecular biology. As a decades-long Caltech faculty member and institute director, Dr. Wold has mentored numerous graduate students and secured substantial research funding, though specific advisee names and grant details are not publicly listed. Her current leadership in the Merkin Institute continues to drive interdisciplinary biomedical research. Her laboratory operates at the nexus of the Beckman Institute and Merkin Institute ecosystems, leveraging Caltech's strengths in engineering and quantitative biology to advance transcriptional network research through cutting-edge genomic technologies and computational approaches.
Yiorgos Tsiatouhas is a Professor in the Department of Computer Science and Engineering at the University of Ioannina. He holds a B.Sc. in Physics (University of Athens, 1990), M.Sc. in Informatics and Telecommunications (University of Athens, 1993), and Ph.D. in Informatics and Telecommunications (University of Athens, 1999). His research focuses on VLSI circuit design, reliability engineering, and secure computing. He teaches courses such as 'Electronics' (MYY404), 'VLSI Circuits' (MYE018), and 'Reliable Integrated Systems' (Y2), emphasizing topics like CMOS technology, radiation-hardened electronics, and testing methodologies. His research interests span secure computing architectures, fault-tolerant systems, and aging monitoring in integrated circuits. Recent work includes developing radiation-hardened latches, PUF-based security solutions for SoCs, and novel testing algorithms for phase-change memories. He has also contributed to visible light communication (VLC) systems, addressing challenges like anti-reflective obstacle detection and adaptive signal decoding in non-line-of-sight (NLOS) environments. Teaching activities include supervising student projects, maintaining an active lab for SPICE-based circuit simulation, and integrating industry-standard tools like Cadence into coursework. His lab focuses on designing and testing analog/digital circuits, emphasizing practical skills in SPICE simulation and layout design.
Dr. Elizabeth H Connors is an Associate Professor of Psychiatry (Psychology) at the Yale School of Medicine and a faculty member in the Child Study Center. She serves as the Director of the Yale Doctoral Internship in Clinical and Community Psychology and directs School Mental Health Implementation Consultation and Research at The Consultation Center at Yale. Her work focuses on promoting equitable access to high-quality mental health services in K-12 schools through implementation science and participatory research methods. PhD in Child-Clinical and Community Psychology from the University of Maryland Baltimore County (2014) Predoctoral Intern at VA Maryland Health Care System and the University of Maryland, Baltimore (2014) BA in Psychology from Quinnipiac University (2006) Dr. Connors' research centers on improving mental health services for underserved and minoritized children and adolescents through implementation science. Her current projects include developing and testing culturally-modified measurement-based care for racial and ethnic minoritized adolescents with depression and implementing multi-level strategies like FOCUSS to increase measurement-based care in schools. She applies participatory research methods to address mental health disparities and promote resilience to adversity, stress, and trauma in school settings. Her work spans community mental health services, health care quality and evaluation, and social psychology within educational contexts. Analysis of Dr. Connors' recent publications (2023-2025) reveals a consistent focus on measurement-based care implementation, culturally-responsive adaptations for minoritized populations, and system-level quality improvement in school mental health. Her work bridges implementation science with practical applications in educational settings, with particular attention to reducing disparities and improving outcomes for vulnerable youth. The research demonstrates methodological diversity, incorporating mixed-methods approaches, implementation frameworks, and collaborative partnerships with schools and communities. Univ. of Washington Research Institute for Implementation Science in Education (RIISE) Fellow (2022) Clinical Research Loan Repayment Program awards from NIMH (2018, 2020, 2021) Distinguished Faculty Award for Outstanding Contributions as a Supervisor (2021) Child Intervention, Prevention and Services (CHIPS) Fellow (2016) Graduate Psychology Education Fellow (2013) Dr. Connors leads the School Mental Health Implementation Consultation and Research lab at The Consultation Center at Yale, where she applies participatory research methods to improve mental health services for underserved children and adolescents. She collaborates extensively with the National Center for School Mental Health at the University of Maryland School of Medicine to advance research, practice, policy, and training nationwide. As co-developer of The SHAPE System (www.theshapesystem.com) and national school mental health performance measures, including the School Mental Health Quality Assessment, she has created practical tools that translate research into actionable strategies for improving mental health service delivery in schools.
Szymon Michal Beczkowski is an Associate Professor at Aalborg University's Faculty of Engineering and Science, affiliated with the Department of Power Electronics System Integration and Materials. His research focuses on power electronics, particularly medium-voltage systems, digital methodologies, and power module design. Recent projects include calorimetric switching loss measurement, parallel transistor die operation, and online Vce measurement for IGBT wear-out detection. Contributing to UN Sustainable Development Goals in electrification and renewable energy Developing a parasitics extraction tool 187,000× faster than traditional methods His work emphasizes commercialization, with projects targeting 10kV power stacks for wind turbines, optimized EV fast chargers, and liquid metal packaging for power semiconductors. Future research aims to integrate ceramics into power electronics and improve magnetic core loss modeling.
Prof. Hussam Amrouch is a Full Professor of AI Processor Design at the Technical University of Munich (TUM), leading the TUM School of Computation, Information and Technology. His research focuses on ultra-efficient embodied AI, reliable designs in emerging technologies, and cryogenic circuits for quantum computing. He holds a Dr.-Ing. from Karlsruhe Institute of Technology (2015, Summa cum Laude) and previously led the "Dependable Hardware" group at KIT and the Chair of Semiconductor Test and Reliability at University of Stuttgart. He is affiliated with Munich Quantum Valley (MQV) and Munich Institute of Robotics and Machine Intelligence (MIRMI). Research interests include ferroelectric FETs, in-memory computing, cryogenic electronics, and neuromorphic systems. Key achievements include 10× HiPEAC Paper Awards, 3× DAC/DATE best paper nominations, and pioneering work on FeFET-based AI accelerators. His work bridges nanoelectronics with AI, addressing challenges in energy efficiency, reliability, and quantum integration. Publications span cutting-edge topics like cryogenic FinFETs, hyperdimensional computing, and monolithic 3D integration. He has developed novel testing methodologies, self-aware silicon systems, and energy-efficient architectures for edge-AI. Current projects explore cryogenic circuit design, radiation-resistant FeFETs, and carbon-efficient 3D neural networks. His awards reflect contributions to high-performance and embedded architectures. Research groups under his leadership focus on device-level innovations and system-level integration of emerging technologies. He actively contributes to interdisciplinary initiatives at MQV and MIRMI, advancing quantum computing and AI hardware frontiers.
Sam Raymond is an Adjunct Assistant Professor of Engineering at Dartmouth College and a Machine Learning Engineer at Databricks. He holds a BEng (2012) and MEng (2015) from Monash University, Australia, and a PhD in Engineering from MIT (2020). His research focuses on physics-informed machine learning, computational mechanics, and particle-based simulation methods. Raymond leads the Raymond Lab, which emphasizes leveraging data-driven approaches to solve complex engineering challenges. Education: BEng (Monash, 2012), MEng (Monash, 2015), PhD (MIT, 2020) Key research interests include integrating physical laws into deep learning frameworks, synthetic data generation for inverse problems, and pre-training neural networks using simulation data. His work spans applications from biomedical engineering to environmental science. Raymond teaches courses such as ENGS 15.08: AI Demystified and ENGM 204: Data Analytics Project Lab at Dartmouth. Recent collaborations include developing a novel ventilator for pandemic response and partnering with NVIDIA on generative AI educational tools. He holds a patent for an emergency ventilator design and publishes widely in journals like Nature Communications and IEEE Transactions on Biomedical Engineering .
Ling Hao is an Associate Professor in the Department of Chemistry and Biochemistry at the University of Maryland, specializing in Analytical Chemistry with a focus on Mass Spectrometry, Proteomics, Metabolomics, and their applications in Neurodegenerative Diseases and Cellular Biology. Their research integrates advanced mass spectrometry techniques with systems biology approaches to study lysosomal function, mitochondrial dynamics, and neuronal pathology. The HaoLabMS investigates molecular mechanisms underlying neurodegenerative disorders such as ALS and Alzheimer’s disease, emphasizing the role of protein quality control and metabolic pathways. Key research areas include: Development of novel quantitative proteomic and metabolomic methodologies Lysosome transport mechanisms in neurons Mitochondrial dysfunction in neurodegeneration Biomarker discovery for neurological diseases Proximity labeling proteomics for protein interaction mapping Recent work has focused on improving analytical workflows for multi-omics integration and contaminant removal, as well as characterizing lipid metabolic alterations in genetic neurodegenerative models. Their lab has pioneered methods like ContamSPOT and iDiLeu labeling for enhanced data reliability and metabolite quantification. Grant activities include NIH-funded projects on lysosomal biology and neuroprotection mechanisms. The lab collaborates with institutions globally to advance translational mass spectrometry applications in precision medicine and disease modeling. Lab activities: The HaoLabMS operates within the University of Maryland’s state-of-the-art proteomics facility, maintaining active collaborations across chemical, biomedical, and computational disciplines. Current projects include developing cross-platform normalization strategies for multi-omics data and exploring autophagy regulation in neuronal health.
Dr. Cuong Cao is a Lecturer in Advanced Micro- and Nano-Diagnostics at the School of Biological Sciences , Queen's University Belfast, with a multidisciplinary focus spanning micro/nanofabrication, applied physics, analytical chemistry, and biology. His research develops innovative diagnostic platforms using nanoplasmonics and lab-on-a-chip technologies. Key research areas: Plasmonic nanomaterial synthesis SPR, LSPR, SERS biosensing platforms Point-of-care diagnostic integration His recent work trends include: Advanced SERS substrates for environmental and biomedical monitoring Nanozyme-based sensors for pathogen detection Wearable and disposable diagnostic devices Portable analysis of agricultural and water contaminants Scientific Recognition Fellow of the Higher Education Academy Peer reviewer for 10+ journals including Small and ACS Applied Materials & Interfaces Research Advisees Natasha Logan (2016-2019): Peroxidase-mimicking nanomaterials for mercury detection Javier Lou Franco (2017-2020): Plasmonic smartphone assay for food spoilage Michaela Crummy (2016-2019): Paper-based tuberculosis diagnostics Brendan Gilbride (2018-2020): Animal health sensor development
Matthew Dodd serves as an Assistant Professor in the Department of Medical Statistics within the Faculty of Epidemiology and Population Health at the London School of Hygiene & Tropical Medicine (LSHTM). He has been affiliated with LSHTM since February 2013, initially working as a Data Manager within the Clinical Trials Unit before advancing to his current academic position after completing an MSc and part-time PhD in Medical Statistics. Dr. Dodd's research interests focus on medical statistics and clinical trials methodology, particularly statistical approaches for handling non-adherence in randomized controlled trials. His work spans cardiovascular medicine and infectious disease research, with significant contributions to major clinical trials across these domains. His methodological expertise in statistical analysis for complex trial designs has positioned him as a key contributor to numerous high-impact studies. Analysis of his recent publications reveals a strong emphasis on cardiovascular clinical trials methodology, particularly in the REVIVED-BCIS2 and BHF PROTECT-TAVI studies. His work demonstrates expertise in statistical approaches for non-adherence analysis, composite endpoints, and risk stratification in cardiac patients. A notable secondary focus appears in tuberculosis treatment research through the TB-PRACTECAL trial. Dr. Dodd actively contributes to teaching as co-module organizer for the Clinical Trials module (2033), tutor for the Regression module in the MSc in Medical Statistics, and support for the distance learning module Basic Statistics for Clinical Trials (CTM102). His current grant funding includes the Barts Charity Project (April 2025-March 2026) and LAS Collaboration with London Ambulance Service NHS Trust (March 2023-February 2028), reflecting his ongoing research commitments across multiple clinical domains. Working within LSHTM's Clinical Trials Unit, Dr. Dodd provides statistical leadership for several major randomized controlled trials including AIMS, ARREST, BHF PROTECT-TAVI, CHIP-BCIS3, ERIC-PPCI, PREVENTT, REVIVED-BCIS2, and TB Practecal, demonstrating his central role in coordinating complex multicenter research initiatives.
Dr. Andras Poppe is a Professor and currently serves as the Head of the Department of Electron Devices at the Faculty of Electrical Engineering and Informatics (VIK) of Budapest University of Technology and Economics. With over 238 publications and 52,196 reads on ResearchGate, he is a prominent researcher in the field of semiconductor devices, particularly focusing on LED technology and thermal analysis. Dr. Poppe's research interests center around the multi-domain modeling of LEDs, encompassing electrical, thermal, and optical characteristics. His work addresses critical challenges in solid-state lighting, including reliability testing , thermal management , and lifetime prediction of LED devices. He has made significant contributions to the development of SPICE-like multi-domain models for LEDs, which are essential for virtual prototyping in the Industry 4.0 era. His research has practical applications in outdoor lighting, automotive lighting, and general illumination systems where environmental stresses impact long-term performance. An analysis of Dr. Poppe's recent publications reveals a strong focus on LED reliability under various environmental conditions, particularly high ambient temperatures and different dimming frequencies. His work bridges theoretical modeling with practical applications, as evidenced by his involvement in European research projects like Delphi4LED and AI-TWILIGHT. The publications demonstrate expertise in thermal transient measurements, multi-domain characterization, and the development of compact models for system-level simulations. Dr. Poppe has been actively involved in numerous research collaborations, particularly within European projects that aim to advance LED technology and its applications. His work has contributed to the development of standardized multi-domain compact models of LEDs, which are crucial for the design of reliable and efficient lighting systems. While specific grant information isn't detailed in the provided text, his extensive publication record suggests substantial research funding support for his work in LED technology and thermal analysis. Dr. Poppe leads research activities within the Department of Electron Devices at Budapest University of Technology and Economics, where his team focuses on advanced characterization and modeling of semiconductor devices, particularly LEDs. The laboratory work appears to involve sophisticated testing equipment for high-speed LED characterization, thermal transient measurements, and reliability testing under various environmental conditions. His research group collaborates with international partners, as evidenced by co-authorship with researchers from various European institutions.
Volker Lauschke is an Associate Professor at the Department of Physiology and Pharmacology, Karolinska Institutet, where he leads the Personalized Medicine and Drug Development research group. His work integrates advanced 3D cell culture systems, microfluidics, and molecular profiling to develop novel therapeutic strategies. Department: Physiology and Pharmacology (FyFa) Research Focus: Inflammatory conditions (NASH), infectious diseases (COVID-19), metabolic diseases (type 2 diabetes) Funding: Swedish Research Council Consolidation Grant, KI Faculty Consolidator Grant His research spans pharmacogenomics , population-scale genetics , and machine learning to map ethnogeographic variability in drug response genes. The lab develops 3D primary human tissue models of liver, pancreas, adipose tissue, and skeletal muscle using patient-derived cells, with emphasis on cell-cell interactions and tissue-tissue crosstalk in microfluidic systems. They uniquely employ Nano Reaction Injection Molding (NanoRIM) for biomedical device fabrication and BRET-based biosensors for intracellular signaling monitoring. Analysis of recent publications reveals a strong focus on precision medicine applications through ethnogeographic pharmacogenomic atlases (e.g., PharmFreq), organ-on-chip systems for metabolic disease modeling, and viral pathogenesis mechanisms for hemorrhagic fevers. Key methodologies include chemogenomic screening in patient-derived models, population genomics, and advanced microphysiological systems. Swedish Research Council's Consolidation Grant for "Modulation of Tissue Communication to Combat Non-Alcoholic Fatty Liver" KI Faculty Consolidator Grant (1.2 million SEK/year for 5 years) Contributions to WHO-recommended baricitinib treatment for severe COVID-19 The lab actively collaborates on major initiatives including the Biofab core facility at Biomedicum. Their work on hepatic spheroids has opened new avenues for liver regeneration research, while pharmacogenomic studies directly inform clinical implementation of precision medicine. Current projects emphasize rare variant analysis in pharmacogenes and development of microfluidic multi-organ systems for glycemic control modeling.
David Jaime Cocovi Solberg is a postdoctoral researcher at the University of Natural Resources and Life Sciences, Vienna (BOKU), focusing on instrumentation design for exposome assessment. He is also a visiting professor at Gdańsk University of Technology (GUT) and maintains academic ties with the University of the Balearic Islands (UIB), where he completed his education and contributed to the FITRACE research group. His interdisciplinary work bridges environmental chemistry, analytical instrumentation, and data automation. Education: Bachelor in Chemistry, University of the Balearic Islands (UIB), 2010 Master in Chemical Science and Technology, UIB, 2011 PhD in Chemical Science and Technology, UIB, 2017 (cum laude) Predoctoral stays at DTU (Denmark), BOKU (Austria), and University of Valencia (Spain) His research focuses on environmental chemistry, chromatographic analysis, automation, and instrumentation technology. He specializes in the orthogonalization of separations, data processing using Python, and the development of miniaturized, field-deployable analytical systems. His work supports exposome research through innovative instrumentation and software tools. The 15 most recent publications highlight a strong trend in developing automated, miniaturized analytical systems for environmental monitoring, particularly for emerging contaminants, PFAS, and endocrine disruptors. His research integrates separation science, microfluidics, sensor networks, and machine learning, with a consistent emphasis on open-source software (e.g., CocoSoft) and real-time, on-site detection. The keywords span environmental chemistry, analytical instrumentation, and data science, reflecting his interdisciplinary approach. Scientific Awards: Recipient of 3 research awards (specific names not provided) Holds intellectual property for the software 'CocoSoft' He has delivered over 300 hours of teaching in graduate and undergraduate programs, particularly in Instrumental Methods in Environmental Chemistry and Soil Chemistry and Control at UIB. He has served as a reviewer for leading journals including Science of the Total Environment , Talanta , Micromachines , and Sensors . He has not disclosed specific grant funding, but his research output and software development suggest active project involvement. His professional service includes membership in SEQA, SECyTA, QUIMIBAL, SETAC, and the judicial expert panel of the Balearic Islands High Court. David Cocovi Solberg is actively involved in the Flow Injection and Trace Analysis (FI-TRACE) Consolidated R+D+I Group at UIB as a member, contributing to trace analysis and flow-based systems research. His work combines laboratory innovation with practical applications in environmental monitoring, supported by a strong publication record and software development.
Jiro Nagatomi is a Professor of Bioengineering at Clemson University 's College of Engineering, Computing and Applied Sciences. As Director of the Cell Mechanics and Mechanobiology Laboratory , his research bridges engineering and medical sciences through three main initiatives: mechanotransduction studies, tissue engineering of intervertebral discs, and hydrogel-based surgical materials development. Ph.D. in Biomedical Engineering (Cellular Bioengineering) from Rensselaer Polytechnic Institute (2002) Office: 401-4 Rhodes Engineering Research Center Contact: jnagato@clemson.edu | 864-656-5193 Research focuses on cellular mechanotransduction under hydrostatic pressure, particularly in bladder urothelial cells and bone-marrow stem cells . His lab develops multi-functional hydrogel tissue adhesives with thermal crosslinking properties, and employs mechanical bioreactors for intervertebral disc regeneration, collaborating with Dr. Jeremy Mercuri. Key methodologies include microfluidic systems and 3D hydrogel droplet printing . Article trends show sustained focus on pressure biology (2016-2024), hydrogel development (2014-2023), and urological applications (2007-2024). Subfields span bladder compliance mechanisms , inflammasome activation , TRP ion channels , and viscoelastic tissue modeling .
