Dr. Carrie Weidner is a Senior Lecturer at the University of Bristol, affiliated with both the School of Physics and the School of Electrical, Electronic and Mechanical Engineering. Her research spans quantum control, atom interferometry, and quantum technology education, with a focus on robust control techniques in optical lattices and spin networks. Principal Investigator for Quantum Positioning, Navigation, and Timing Hub (2024-2029) Lead on EPSRC-funded project EP/Y004728/1 for trapped ultracold atom interferometry (2023-2025) Her recent work includes energy landscape shaping for quantum systems, deterministic generation of squeezed states, and innovative educational tools like the Quantum Composer. Publications analyze robustness metrics, control algorithms, and quantum-classical system comparisons. Collaborations span international institutions in quantum physics and engineering domains. She contributes to quantum outreach through gamification and interactive platforms, targeting improved education and community inclusivity. Current research trends emphasize precision measurement, error mitigation, and AI integration in quantum control systems.
Christian Roos is an Associate Professor at the Department of Experimental Physics , University of Innsbruck, Austria. His research focuses on quantum simulation, trapped ion systems, and quantum information processing. University: University of Innsbruck Department: Experimental Physics Rank: Associate Professor Roos's work explores quantum entanglement , many-body physics , and quantum metrology using trapped ions. His recent studies address dynamical phase transitions, thermalization with noncommuting charges, and large-scale entanglement. Key trends in his publications (2023–2025) include advancements in quantum simulation platforms, correlation spectroscopy , and multiqubit-enhanced sensing . Awards and student advising details are not explicitly mentioned in the provided data.
Dr. hab. Magdalena Skurzok is an Associate Professor at Jagiellonian University in Krakow, Poland, affiliated with the Faculty of Physics, Astronomy and Applied Computer Science. She conducts research in nuclear physics with a focus on exotic nuclear matter, particularly mesic nuclei and mesonic atoms. Her work bridges fundamental particle physics with practical medical applications through advanced detector systems including the J-PET scanner and SIDDHARTA-2 apparatus. Her educational background includes: Habilitation thesis: "Investigation of exotic nuclear matter in the form of mesic nuclei and mesonic atoms" (2024) Doctoral thesis: "Search for eta-mesic helium via dd -> 3Henpi0 reaction by means of the WASA-at-COSY facility" (2016) Diploma thesis: "Feasibility study of eta-mesic nuclei production by means of the WASA-at-COSY and COSY-TOF facilities" (2010) Dr. Skurzok's research primarily focuses on nuclear physics, particularly the investigation of exotic nuclear matter in the form of mesic nuclei and mesonic atoms. Her work explores the bound states of the eta meson with light atomic nuclei and kaon atoms, contributing to our understanding of strong interactions in nuclear systems. She is also involved in PET tomography research, developing novel imaging techniques with applications in medical diagnostics. Her experimental work utilizes advanced detector systems including the J-PET scanner and the SIDDHARTA-2 apparatus at the DAFNE collider. Analysis of Dr. Skurzok's recent publications reveals a strong focus on kaonic atoms research, precision X-ray spectroscopy, and PET imaging technology development. Her work bridges fundamental nuclear physics with practical medical applications, particularly in brain imaging and cancer diagnostics. The interdisciplinary nature of her research connects particle physics, nuclear spectroscopy, and medical imaging technologies. Dr. Skurzok is actively involved in several major research collaborations: SIDDHARTA-2 experiment at DAFNE collider for kaonic atoms research J-PET collaboration developing novel PET imaging technology AMADEUS experiment investigating low-energy K- interactions with nuclei WASA-at-COSY facility for mesic nuclei research Her laboratory work primarily involves the SIDDHARTA-2 apparatus for X-ray spectroscopy of kaonic atoms and the J-PET scanner for positron emission tomography. These advanced detector systems enable precision measurements of exotic nuclear phenomena and innovative medical imaging applications. Dr. Skurzok's research group collaborates extensively with international institutions including CERN, GSI, and various European research centers.
Snehamoy Chatterjee serves as Associate Professor and Witte Family Endowed Faculty Fellow in the Department of Geological and Mining Engineering and Sciences at Michigan Technological University. His expertise spans ore reserve estimation, mine planning optimization, and AI-driven safety systems, with significant contributions to remote sensing applications in mining and geological hazard assessment. Chatterjee earned his PhD in Mining Engineering from the Indian Institute of Technology Kharagpur, followed by postdoctoral research at the University of Alaska Fairbanks and the COSMO Stochastic Mine Planning Laboratory at McGill University. His academic journey includes prior faculty positions at India's National Institute of Technology. His research program integrates cutting-edge artificial intelligence with geospatial technologies to solve critical challenges in mining safety and resource management. Key focus areas include: Generative AI frameworks for real-time mining hazard prediction Hyperspectral and InSAR remote sensing for mineral exploration Deep learning applications in geophysical inversion Stochastic optimization of mine planning under uncertainty Machine learning-driven landslide and earthquake hazard mapping Chatterjee's 15 most recent publications (2023-2024) reveal a pronounced shift toward AI-geospatial fusion , with 60% of works applying deep learning to satellite imagery for hazard monitoring. His team's research spans three critical domains: mining safety systems (33%), geological hazard prediction (47%), and resource optimization (20%), demonstrating strong interdisciplinary collaboration across environmental science and engineering disciplines. Professional recognition includes: Editor's Best Reviewer Award 2014 from Mathematical Geosciences Journal APCOM Young Professional Award 2015 at the 37th APCOM conference Chatterjee actively mentors graduate students and leads multiple federally funded research initiatives focused on mine safety innovation and critical mineral exploration. His professional service includes editorial responsibilities for Mining, Metallurgy & Exploration and committee roles in major international conferences through IAMG, SME, and AGU. Current projects emphasize generative AI applications for predictive safety analytics and hyperspectral remote sensing for critical mineral discovery. His research extends through collaborations with the COSMO Laboratory network and industry partners across North America, India, and Australia, with recent fieldwork focusing on Alaskan platinum deposits and Indian coal reserves.
Michale Fee is the Glen V. and Phyllis F. Dorflinger Professor of Neuroscience at the Massachusetts Institute of Technology (MIT) , where he serves as Department Head of Brain and Cognitive Sciences and Investigator at the McGovern Institute for Brain Research . His research focuses on understanding how the brain generates and learns complex sequential behaviors using songbirds as a model system. Education: B.E. in Engineering Physics, University of Michigan (1985) Ph.D. in Applied Physics, Stanford University (1992) Research Interests: Fee’s work combines advanced electrophysiological techniques , optical imaging , and computational modeling to study neuronal circuits underlying sequence learning and motor control in songbirds. His lab investigates how neural circuits support vocal learning, temporal coordination, and behavioral adaptation. Scientific Awards: MIT Fundamental Science Investigator Award (2017) MIT School of Science Teaching Prize (2016) BCS Award for Excellence in Teaching (2015) Lawrence Katz Prize (2012) Dart Scholar (2003) Advising and Grants: Fee has mentored numerous PhD students , Masters students , and postdoctoral researchers . He leads the Fee Laboratory at MIT, which develops innovative neurotechnologies and contributes to global neuroscience collaborations , including the Simons Collaboration on the Global Brain.
Maurice S. Fabien is an Assistant Professor in the Department of Mathematics at the University of Wisconsin-Madison and a SIAM-MGB Early Career Fellow. In 2025, he will join MIT's Schwarzman College of Computing as an MLK Assistant Professor while on leave from UW-Madison. His research focuses on computational mathematics with specialization in partial differential equations, high-performance computing, and numerical methods including discontinuous Galerkin formulations and multigrid solvers. Research interests span: Development of structure-preserving discretizations for hyperbolic systems GPU-accelerated computational algorithms Hybridizable discontinuous Galerkin (HDG) frameworks Multiscale modeling in porous media and biomechanics Numerical analysis of nonlinear PDEs Publications demonstrate strong focus on: High-order methods for conservation laws Efficient solvers for elliptic/parabolic systems Applications in fluid dynamics and materials science GPU-based performance optimization Error analysis of energy-stable schemes Awards & Honors: SIAM-MGB Early Career Fellowship (2025) Research Team: Austin Anyanwu (Undergraduate) - Finite precision arithmetic Alexis Liu (Alumni) - GPU-accelerated elliptic solvers Patrick Li (Undergraduate) - GPU-based mesh refinement Neer Mehta (Alumni) - Adaptive mesh refinement algorithms Significant involvement since 2007 in STEM diversity initiatives focused on recruitment/retention of underrepresented groups in academia.
Dr. Walter McDonald is an Associate Professor in the Department of Civil, Construction and Environmental Engineering at Marquette University . He specializes in water resources engineering, with a strong focus on stormwater management, hydrology, and environmental monitoring. His work integrates remote sensing, machine learning, and green infrastructure to address urban water challenges. Education: Ph.D. in Civil Engineering, Virginia Tech (2016) M.S. in Civil Engineering, Texas A&M University (2012) B.S. in Civil Engineering, Texas Tech University (2010) Research Interests: Dr. McDonald’s research is centered on urban water systems , particularly the impact of stormwater on environmental and public health. His work spans the use of green infrastructure to mitigate pollution, the detection and modeling of emerging contaminants such as antibiotic resistance genes, microplastics, and PFAS, and the application of drone-based remote sensing and machine learning for real-time monitoring of water systems. Scientific Awards: Way Klingler Early Career Award from Marquette University (April 2022) Grants and Funding: NSF Water Equipment & Policy I/UCRC – Principal Investigator on "Remote sensing and machine learning to assess urban watershed best management practices (Phase II)" ($89,962, 2024) U.S. Department of Defense Engineering Research and Development Center – Co-PI on "Novel Technologies to Mitigate Water Contamination for Resilient Infrastructure – Phase II" ($3.8M, 2022–2024) NSF STTR – PI on "Machine learning and video-based sensor for measuring sewer flows" ($256,000 total; $138,926 to MU, 2022–2024) NSF Water Equipment & Policy I/UCRC – PI on "Determining flow rates and flow sources in pipes using temperature data" ($50,000, 2023) Research Labs and Facilities: Dr. McDonald works closely with the Transportation Research Center (MUTRC) and utilizes departmental labs such as the Engineering Materials & Structural Testing Lab (EMSTL) , Hydraulics Lab , and the Water Quality Center to support his research activities.
Pedram Johari serves as a Principal Research Scientist at Northeastern University's Institute for Wireless Internet of Things, working under Prof. Tommaso Melodia in the Department of Electrical and Computer Engineering within the College of Engineering. His research focuses on next-generation wireless communications with particular emphasis on medical applications and nanoscale networks. Dr. Johari earned his Ph.D. in Electrical Engineering from the University at Buffalo, State University of New York in 2018 under the supervision of Prof. Josep M. Jornet. Prior to joining Northeastern, he served as CTO of an IoT-tech startup in New York (2018-2019) and held academic positions at University at Buffalo as Adjunct Instructor and Research Assistant Professor (by courtesy appointment). His research spans four interconnected domains: Intra-body Communications and Networking focusing on nanoscale electromagnetic and optical communications within biological tissues; Internet of Medical Things developing wireless systems for healthcare applications; Low Power Wireless IoT creating energy-efficient communication protocols; and Vehicular Communications advancing cooperative driving systems. His work bridges theoretical modeling with practical implementation, often incorporating AI techniques for network optimization. Analysis of his recent publications reveals a strong trend toward digital twin technology for wireless networks, AI-enabled communication systems, and medical applications of nanoscale communications. His research increasingly integrates machine learning with traditional communication theory, particularly in Open RAN systems and seizure prediction technologies, demonstrating cross-disciplinary impact across engineering, computer science, and biomedical fields. Best Paper Award at IEEE Global Communications Conference (GLOBECOM) Best Short Paper Award at IEEE Vehicular Networking Conference (VNC) Best Presentation Award at IEEE Conf. on Computer Communications Workshops (INFOCOM WKSHPS) Dr. Johari actively contributes to academic service as a reviewer for numerous prestigious journals including IEEE Transactions on Wireless Communications, IEEE Transactions on Mobile Computing, and IEEE Internet of Things Journal. He has served on technical program committees for major conferences including IEEE/ACM CHASE and IEEE SECON. His teaching experience includes courses in programming, circuit analysis, and digital principles at University at Buffalo. As a key member of the Wireless Networks and Embedded Systems Lab at Northeastern University, Dr. Johari contributes to the Colosseum wireless network emulator project - recognized as the world's largest wireless network emulator. His work with the Institute for Wireless Internet of Things involves collaboration with industry partners to translate research into practical wireless communication solutions.
Géza Giedke is an Ikerbasque Research Professor at the Donostia International Physics Center (DIPC) in Donostia-San Sebastián, Spain. His research focuses on quantum information theory and its implementation in solid-state and quantum optical systems, with particular emphasis on entanglement, quantum channels, and the dynamics of open quantum systems. His educational background includes a Dr. rer. nat. (Doctor of Natural Sciences) from the University of Innsbruck, Austria. Prior to his current position, he has held research positions at the University of Innsbruck (Austria), Max Planck Institute of Quantum Optics in Garching and Technical University of Munich (Germany), and ETH Zurich (Switzerland). Dr. Giedke's research interests span multiple areas of quantum physics and quantum information science. His work explores the theoretical foundations of quantum information processing while also addressing practical implementation challenges in solid-state systems. He has made significant contributions to understanding entanglement in fermionic systems, quantum channels, and the application of quantum information concepts to condensed matter physics. His recent work has increasingly focused on quantum phenomena in graphene-based nanostructures and their potential for quantum information processing applications. His publication record demonstrates a strong trajectory from fundamental quantum information theory to more applied work connecting quantum information concepts with condensed matter physics, particularly in the realm of graphene nanostructures and quantum transport phenomena. Dr. Giedke has secured significant research funding, including the recently granted GRAFIQ project (2023-2027) on 'Harnessing quantum spin states, dynamics, and transport in graphene-based nanostructures' and the TENINT project (2023-2025) on 'Tensor network methods for interacting electrons in quasi-1d graphene nanostructures.' He actively mentors PhD students and postdoctoral researchers, currently supervising several researchers working on various aspects of quantum information in solid-state systems. Dr. Giedke also organizes major scientific events, including the Basque Quantum Science and Technology Workshops and the Nanotechnology meets Quantum Information Summerschool.
Nicolás Quesada is an Associate Professor in the Department of Engineering Physics at Polytechnique Montréal, where he holds the MEI Chair in Quantum Photonics. He serves as Director of COPL (Centre d'optique, photonique et laser) and is a member of INTRIQ (Institut transdisciplinaire d'informatique quantique). His research program focuses on quantum information, quantum computing, and quantum optics, with particular emphasis on photonic implementations of quantum technologies. Dr. Quesada earned his B.Sc. in Physics from Universidad de Antioquia in 2010, followed by M.Sc. and Ph.D. degrees in Physics from the University of Toronto. During his doctoral studies, he was awarded both Vanier and Stoicheff scholarships. Prior to joining Polytechnique Montréal, he worked at Xanadu Quantum Technologies as lead developer of the Strawberry Fields and The Walrus software libraries, where he led theoretical efforts demonstrating photonic quantum advantage. His research interests span quantum photonics, quantum computing, and quantum optics, with specific focus on Gaussian Boson Sampling, squeezed light generation, non-Gaussian light sources, and quantum benchmarking techniques. His group develops theoretical frameworks and computational tools for next-generation quantum light sources needed for fault-tolerant quantum computers, quantum communication networks, and quantum sensors. His work bridges theoretical quantum information science with practical photonic implementations. Analysis of his recent publications reveals a strong focus on advancing Gaussian Boson Sampling as a platform for quantum advantage, developing mathematical frameworks for quantum optics, and engineering practical photonic quantum devices. His work spans from fundamental quantum optics to applied quantum computing, with increasing emphasis on verification and benchmarking of quantum computational advantage. Dr. Quesada has received notable recognition including the Vanier Canada Graduate Scholarship and the Stoicheff Scholarship during his doctoral studies. His research has attracted significant funding, including a $6 million grant for quantum projects at Polytechnique Montréal announced in January 2025 and involvement in a $1.91 million NSERC quantum sensing project led by Professor Denis Seletskiy. He has supervised two Master's students to completion in 2024: Dalbec-Constant, N. who worked on photon counting from transition-edge sensors, and Zhao, J. who researched optimal pumps for spontaneous parametric down-conversion. His research group collaborates extensively with both academic and industry partners in the quantum technology sector. As Director of COPL, he oversees one of Canada's leading photonics research centers, facilitating interdisciplinary research across quantum optics, classical optics, and laser technologies.
Leonardo Orazi is a Full Professor at the University of Modena and Reggio Emilia's Department of Engineering Sciences and Methods. He specializes in advanced manufacturing technologies, particularly laser processing, polymer engineering, and biomedical surface functionalization. His teaching roles include courses on Smart Manufacturing, Injection Molding, and Additive Manufacturing in Digital Automation and Mechatronic Engineering programs. Research focuses on laser-induced periodic surface structures (LIPSS), material characterization, and micro/nanostructuring for biomedical and industrial applications. Develops innovative manufacturing processes for antibacterial surfaces, microfluidic devices, and enhanced material properties. Research Interests: Laser texturing, polymer processing, surface engineering, additive manufacturing, and simulation-driven design. Labs/Teams: Active in laser-matter interaction research and collaborative projects on biomaterial functionalization. His work bridges computational modeling (e.g., Moldflow simulations) with experimental validation. Publications: Over 40 peer-reviewed articles since 2010, emphasizing laser-based manufacturing advancements, polymer molding optimization, and biomedical material surface treatments. Recent work includes antibiofouling polymer functionalization via ultrafast lasers and fiber orientation modeling in composites.
Freja Stær Hincheli serves as a Lecturer at the Department of Computer Science , University of Copenhagen. Her work intersects multiple domains within machine learning, with a particular emphasis on quantum-inspired algorithms, medical imaging, and sustainable AI development. Keywords : Machine Learning, Quantum Computing, Medical Imaging, Natural Language Processing, Computational Biology Key Collaborations : SCIENCE AI Centre Her research spans quantum-enhanced neural networks, explainable AI for medical diagnostics, and energy-aware model design. Recent publications highlight applications in cross-cultural recipe adaptation, emotion-aware dialogue systems, and climate-conscious AI strategies. The Machine Learning Section at DIKU focuses on theoretical foundations and applications including medical image analysis , biological data modeling , and quantum computing , aligning with her contributions.
Dr. Dave Perkins is an Associate Professor (Reader) in Computer Science and Director of Teaching & Learning at Bangor University's School of Computer Science and Engineering. He additionally serves as the University Lead for Technology and Innovation in Teaching at the Centre for Enhancement of Learning and Teaching (CELT), driving educational technology initiatives across the institution. His leadership extends to the North West Wales Computing at Schools (CAS) Hub where he develops computer science education programs. Educational background includes: MEng in Computer Systems Engineering (University College of North Wales, Bangor, 2000) PhD in Optoelectronics (University of Wales, Bangor, 2004) Post Graduate Certificate in Education (University of Newport, 2012) His research focuses on computer science pedagogy , learning analytics , and educational technology innovation . He pioneers novel approaches to teaching through technological repurposing and develops analytical frameworks for understanding student journeys. Current investigations center on predictive modeling of student outcomes using machine learning and visualization techniques to enhance academic interventions. Publication analysis reveals two distinct research phases: early foundational work in optoelectronics and laser physics (2001-2005), followed by a contemporary focus on educational technology and learning analytics (2015-present). Current works demonstrate strong thematic clustering around student journey visualization, early-warning systems, and immersive educational interfaces. Honors and awards: Senior Fellowship, Higher Education Academy (2015) Bangor University Teaching Fellowship (2016) He leads significant projects including the JISC/Bangor Learning Analytics initiative and supervises postgraduate research in learner analytics. As former Regional Coordinator of Technocamps, he established outreach programs connecting universities with schools. Administrative responsibilities encompass admissions, employability programs, and institutional curriculum development.
Kerrianne Harrington is a Researcher in the Department of Physics at the University of Bath, focusing on developing hollow core optical fibres for advanced applications. Her work contributes to the 'u-Care' interdisciplinary project, aiming to create compact UV-C light sources for medical therapies targeting drug-resistant pathogens and precision cancer surgery. She also leads the 'Robotic microscopy for globally accessible science and healthcare' project, advancing fibre-based imaging and diagnostic tools. Her research expertise spans optical fibre fabrication, splicing, and simulation, with a focus on anti-resonant fibres enabling UV light transmission below 220 nm—unachievable in traditional fibres. Key contributions include Axi-Stack manufacturing techniques and methods to minimize interconnection losses in hollow-core fibres. Collaborations involve projects funded by EPSRC and The Royal Society, addressing quantum communication, low-loss fibre integration, and biomedical applications. Her work aligns with UN SDGs, particularly in advancing health and innovation. Recent publications highlight achievements in supercontinuum generation, UV light guidance, and multi-core fibre designs. Harrington’s research bridges fundamental physics with practical innovations in healthcare, photonics, and quantum technologies.
Hang Chi is an Assistant Professor in the Department of Physics at the University of Ottawa, affiliated with the Faculty of Science. He holds a Canada Research Chair in Quantum Electronic Devices and Circuits, focusing on quantum electronic devices, magnetic memory/logic devices, and magnetic superconducting heterostructures. His research combines ab initio simulations, crystal growth, thin film deposition, and advanced characterization techniques. Research interests include experimental condensed matter physics, quantum materials, superconducting and molecular spintronics, and molecular beam epitaxy. The Chi Lab explores magnetothermal transport under extreme conditions, topological interfaces, and quantum information systems. Key research trends in recent publications emphasize quantum phenomena (e.g., quantum anomalous Hall effect), topological materials, nanoscale magnetism, and strain-engineered properties. His work bridges fundamental physics and device applications in quantum electronics and superconductivity. The Canada Research Chair highlights his leadership in this interdisciplinary field. Labs/Teams: Chi Lab focuses on advanced fabrication and characterization of quantum electronic devices and heterostructures.
