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Mercouri KanatzidisView profile

Professor

• Inorganic Chemistry
• Solid State Chemistry
• Chalcogenide Chemistry
• +7 more

Mercouri Kanatzidis is the Charles E. and Emma H. Morrison Professor of Chemistry at Northwestern University's Weinberg College of Arts and Sciences, with a joint appointment at Argonne National Laboratory. His research spans multiple cutting-edge areas of materials science and solid-state chemistry. His research interests focus on inorganic chemistry, solid state and coordination chemistry of chalcogenide and halide compounds, with emphasis on the design of new materials through exploratory synthesis. His work particularly targets thermoelectric materials, nanostructured materials, intermetallics, and applications for solar energy conversion, radiation detection, heat-to-electrical conversion, and nuclear and environmental remediation. Kanatzidis's recent publications reveal a strong focus on perovskite materials for radiation detection and solar cells, thermoelectric materials, and chalcogenide chemistry. His group has made significant advances in understanding the fundamental properties of these materials while developing practical applications. His work on CsPbBr3 perovskite detectors has demonstrated exceptional performance for X-ray and gamma-ray detection, while his thermoelectric research has led to materials with record-high efficiency. Centenary Prize, 2023, the Royal Chemical Society Elected to the American Academy of Arts and Sciences, 2023 Global Energy Prize, 2022 Clarivate Highly Cited Researcher since 2015 National Academy of Sciences election, 2024 DOE Ten at Ten Award for perovskite solar cell work, 2019 ACS Award in Inorganic Chemistry, 2016 MRS Medal, 2014 Professor Kanatzidis has mentored over 95 Ph.D. students and nearly 130 postdoctoral fellows throughout his career. His group maintains active collaborations with multiple research centers including Argonne National Laboratory, the Trienens Institute, and research groups led by Dravid, Seidman, Wessels, Wolverton, Mohite, and Chabinyc. His laboratory is equipped with extensive facilities for materials synthesis and characterization, including multiple gloveboxes, X-ray diffractometers, thermal analysis equipment, and specialized furnaces for crystal growth.

• Sound and Music Computing
• Music technology
• Artificial intelligence
• +8 more

Koray Tahiroglu is a University Lecturer at Aalto University's School of Arts, Design and Architecture, specializing in Sound and Music Computing. His work bridges artificial intelligence, digital musical instruments, and embodied interaction, with a focus on deep learning applications in audio synthesis and human-AI creative collaboration. His research explores New Interfaces for Musical Expression (NIME), sonic interaction, and physical computing. He collaborates with SOPI Research Group and Google Brain Team (Magenta) on AI-driven artistic innovation. Recent Publications : 2024 studies on dance-sound cross-correlation and intra-action frameworks; 2023 work on AI-terity and deep learning syllabi; 2022 explorations of GAN synthesis, musical expectations, and lifeworld sonification. Scientific Awards : Co-Creative Artificial Intelligence of Music (2022) 2010 grant for scientific publications and artistic activities 2017 Honorable Mention for mobile cultural heritage research Tahiroglu contributes to digital art education and leads projects at Media Lab Helsinki, advancing sonic interaction and generative audio systems.

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +4 more

Zenun Kastrati is an Associate Professor at the Department of Informatics, Linnaeus University. His research focuses on Artificial Intelligence, Natural Language Processing, Machine Learning, Semantic Web, Sentiment Analysis, and Learning Technologies. He contributes to the Data-driven Business Innovation (DBI) and Interaction Design Research Groups, leading projects like Forest 4.0, RAPID, and IGNITE. His recent work involves Explainable AI, medical imaging, and multilingual NLP. Ph.D. in Computer Science (NTNU, 2018) Master's in Computer Science (EU TEMPUS Programme) Previous Lecturer/Researcher at University of Prishtina His research spans AI applications in medical diagnostics , NLP , sentiment analysis , and semantic technologies . Key projects include Forest 4.0 (environment monitoring) and RAPID (online education in Pakistan). Publications highlight his expertise in deep learning , transformer models , and context-aware systems . Recent publications demonstrate trends in Explainable AI (XAI) for healthcare, medical imaging techniques, and multilingual NLP frameworks. Other work explores social media analytics , student feedback analysis , and pedagogical document classification . Zenun's teaching includes Fundamentals of Programming , Object-Oriented Programming , Web Applications , Data Analytics , and Adaptive Web courses at BSc and MSc levels.

Tsun-Ming TsengView profile

Professor

• Microfluidic Large-Scale Integration
• Optical Network-on-Chip
• Microfabrication
• +3 more

Tsun-Ming Tseng is a Professor and principal investigator at the Chair of Electronic Design Automation at the Technical University of Munich (TUM). He leads the Emerging Technology Group and oversees multiple DFG/BMBF-funded research projects in the areas of microfluidic large-scale integration, optical network-on-chip design, and novel microfabrication techniques. Dr. Tseng's research focuses on design automation for emerging technologies, with particular expertise in three main areas: microfluidic large-scale integration, optical network-on-chip systems, and novel microfabrication processes. His work bridges the gap between electronic design automation and cutting-edge applications in bioengineering, photonics, and advanced manufacturing. His research group develops sophisticated algorithms and tools for optimizing design, reliability, and performance in these emerging domains. Analysis of Dr. Tseng's recent publications reveals a strong focus on practical implementation challenges in emerging technologies. His work spans both theoretical algorithm development and practical system implementation, with particular emphasis on reliability, performance optimization, and manufacturing considerations. The research shows increasing integration between different technology domains, particularly the convergence of microfluidics, optical networking, and electronic design automation. Dr. Tseng has been awarded multiple significant research grants including: "DE-TW-CloudWRONoC" (BMBF-NSTC project, PI, 2025-2028, EUR 797.7K) "DE-TW-PI3D" (BMBF-NSTC project, PI, 2024-2027, EUR 391.6K) "Physical Design for Microfluidic Large-Scale Integration" (DFG research grant, PI, 2024-2026, EUR 331.9K) Multiple other DFG and industrial projects totaling over EUR 3 million in funding He has successfully supervised numerous doctoral researchers and postdoctoral fellows, with current group members including Jiahui Peng, Debraj Kundu, Liaoyuan Cheng, and several others. Dr. Tseng leads the Emerging Technology Group at TUM, which focuses on developing design automation methodologies for next-generation technologies. The group maintains strong collaborations with international institutions, including partnerships with researchers in Taiwan and Hong Kong. The team operates state-of-the-art facilities for research in microfluidics, optical networking, and advanced microfabrication techniques.

Kibret MequanintView profile

Professor

• Biomaterials
• Tissue Engineering
• Regenerative Medicine
• +6 more

Dr. Kibret Mequanint is a full Professor at Western University's Department of Chemical and Biochemical Engineering, with cross-appointments in Biomedical Engineering. Holding a PhD from University of Stellenbosch and postdoctoral experience at Technical University of Darmstadt and McMaster University, his research bridges polymer science, materials engineering, and life sciences with applications in Biomaterials , Tissue Engineering , and Regenerative Medicine . His work spans both fundamental and translational research in cell-material interactions , polymer biomaterial design , and therapeutic radiation dosimeters , with technologies transferred to commercial applications. Leading scholar and educator with awards from NSERC, CIHR, and Western University Fellow of: American Institute for Medical and Biological Engineering (AIMBE), Ethiopian Academy of Sciences, International Union of Societies for Biomaterials Science and Engineering, Canadian Academy of Engineering Extensive editorial and panel service for NSERC, CIHR, and international journals His research program has produced over 170 refereed publications, focusing on conductive hydrogels , bioadhesives , and vascular tissue engineering . Recent work on endoscopy-deliverable bioadhesives and snake venom-derived hemostatic gels has attracted global media attention. He has served in leadership roles at the Canadian Biomaterials Society and university governance bodies including Senate and Board of Governors.

Etienne BoutinView profile

Researcher

• Renewable Energy
• Electrochemistry
• Carbon Dioxide Reduction
• +5 more

Etienne Boutin is a Postdoctoral Researcher at the Laboratory of Renewable Energy Science and Engineering (LRESE) at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering and Institute of Mechanical Engineering . His work focuses on electrochemical and photo-electrochemical systems for CO 2 and CO reduction, particularly toward methanol production. Email: etienne.boutin@epfl.ch Office: MED 0 2923 (Bâtiment MED), Station 9, 1015 Lausanne His research spans Renewable Energy , Electrochemistry , and Catalysis , with a focus on molecular catalysts, reaction mechanisms, and modeling for low-temperature CO 2 reduction systems. Recent work explores confined molecular catalysts, surface charge boundary conditions, and hybrid solar-driven devices. The LRESE lab at EPFL supports his research into sustainable chemical processes, including the design of photocathodes, porous carbon electrodes, and strategies for carbon utilization. His publications from 2019–2025 highlight advancements in methanol synthesis, formaldehyde quantification, and catalyst stability.

Raul Castro FernandezView profile

Assistant Professor

• Data Management
• Data Science
• Databases
• +6 more

Raul Castro Fernandez is an Assistant Professor of Computer Science at the University of Chicago, where he researches data ecology, a concept he created to study how data shapes our world and how we can shape it back. He is the faculty co-lead of the Data Science Institute's Data Ecology Research Initiative and a member of ChiData, the data systems research group at the University of Chicago. He is also co-founder and Chief Research Officer at invocate and co-runs Chicago Data Night, a forum connecting industry and academia in Chicago. Castro Fernandez's research focuses on data ecology, data discovery, data markets, and data integration. He develops both theory and systems that help people and organizations find, evaluate, and use data effectively. His work often uses techniques from data management, statistics, and machine learning. He has pioneered concepts in data market design, understanding the economics of data, and building platforms to support markets of data. His research on data ecology frames how data moves through and transforms technological, economic, and social systems—and how to design interventions to make those ecosystems more valuable, equitable, and resilient. His publications reveal a strong focus on data markets, data discovery, and LLM applications for data management. Recent work includes Pneuma (leveraging LLMs for tabular data), Solo (data discovery using natural language), and Nexus (correlation discovery for spatio-temporal data). His research spans theoretical foundations of data value to practical systems for data sharing and discovery. SIGMOD Test of Time Award (2023) NSF CAREER Award (2024) Sloan Research Fellowship (2025) Castro Fernandez has advised numerous PhD, Master's, and undergraduate students who have gone on to pursue PhDs at institutions like University of Washington and Stony Brook, joined companies like Google, Anthropic, and Citadel, or founded startups. His teaching includes courses on The Value of Data, Ethics in Data Science, and Introduction to Databases. He serves on program committees for major conferences including SIGMOD, VLDB, and CIDR, and has been recognized as a Distinguished Reviewer by multiple venues.

Gabriella LindbergView profile

Assistant Professor

• Biomaterials Engineering
• Tissue Engineering
• Biofabrication
• +5 more

Dr. Gabriella Lindberg is an Assistant Professor in the Department of Bioengineering at the University of Oregon's Knight Campus, leading the Lindberg Lab. Her research focuses on developing bioinks, hydrogels, and bioresins to engineer musculoskeletal tissues that replicate native biological environments. She holds a PhD from the University of Otago and previously served as a Research Fellow in the Christchurch Regenerative Medicine and Tissue Engineering (CReaTE) Group. Dr. Lindberg has secured significant grants, including a New Zealand Health Research Council Emerging Researcher Grant, and has won multiple awards such as the ISBF Young Investigator Award (2019) and CMDT/MedTech CoRE awards. Her work spans collaborative projects with institutions in New Zealand, Germany, Netherlands, and Australia. Current lab members include researchers like Vinni Thoms (Lab Manager) and Tim Wheeler (Postdoctoral Scholar). The lab is recruiting for postdoctoral and graduate positions in immunomodulation for osteoarthritis and bone marrow tissue engineering. Key research platforms include biofabrication, biomaterials, and organoid development. Dr. Lindberg’s research emphasizes clinical relevance, with projects addressing patient variability and disease progression modeling. Her team explores oxygen control in 3D-printed constructs and integrates inflammatory biology with biomaterials science. The lab’s long-term goals include advancing 3D bioassembly for musculoskeletal repair and hematological disease treatments. Notable contributions include work on vitreous humor as a biomaterial, automated 3D bioassembly, and the development of photoclickable gelatin bioinks. She has mentored numerous students, including PhD candidates Axel Norberg and Bram Soliman, and supervised master’s and undergraduate researchers in tissue engineering and biofabrication techniques.

Kimberly P. EllisView profile

Associate Professor

• Manufacturing Systems Engineering
• Logistics Systems Analysis and Design
• Production Planning
• +3 more

Kimberly P. Ellis is an Associate Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech. She holds affiliations as Site Director of the Center for Excellence in Logistics and Distribution (CELDi) and Associate Director of the Center for High Performance Manufacturing (CHPM). Her research focuses on manufacturing systems engineering, logistics optimization, and applied operations research, addressing challenges in production planning, supply chain management, and industrial gas distribution. Education: Ph.D. in Industrial and Systems Engineering from Georgia Institute of Technology, M.S. and B.S. in Industrial Engineering from the University of Tennessee. Research interests include large-scale operational planning, material logistics, and process optimization. Her work has been supported by the National Science Foundation, Ericsson, Lucent Technologies, and others. She co-directs the Dover Laboratory for Manufacturing Systems Integration and has served in leadership roles at the College Industry Council on Material Handling Education (CICMHE), including past-president (2014–Present). Awards include the Dean’s Award for Service Excellence (2011–12), Dean’s Award for Teaching Excellence (2009–10), and the Ralph R. Teetor Award for Young Educators (2002). Recent courses taught include Production Planning and Inventory Control, Production Systems Analysis, and Systems Engineering Process.

Kimberly HarryView profile

Assistant Professor

• Healthcare Continuous Improvement
• Healthcare Systems Engineering
• Quality Engineering
• +3 more

Kimberly Harry is an Assistant Professor at the School of Systems Science and Industrial Engineering, Binghamton University, State University of New York. She specializes in healthcare systems engineering, focusing on continuous improvement, quality engineering, and healthcare equity. Her research emphasizes critical success factors for Kaizen events in hospitals, leveraging process mining and empirical surveys. She leads the Systems Performance Excellence and Equity Lab (SPEEL), exploring data-driven healthcare optimization strategies. Education: PhD and MS in Industrial and Systems Engineering – Virginia Tech BS in Industrial Engineering – California Polytechnic State University, San Luis Obispo Research Focus: Her work integrates healthcare systems engineering with performance measurement, aiming to enhance equity through structured improvement methodologies. Key themes include Kaizen event efficacy, process mining applications, and interdisciplinary collaboration in healthcare settings. Key Contributions: Over 15 peer-reviewed articles since 2020, focusing on Kaizen event analysis, critical success factors, and healthcare system optimization. Recent work (2023–2025) emphasizes meta-synthesis evaluation and expert-driven frameworks for continuous improvement. Recipient of ASEM Merl Baker Best Student Paper Award (2020, 2022) IISE SEMS Best Student Paper Award (2021) Lab/Teams: Directs the Systems Performance Excellence and Equity Lab (SPEEL), which develops innovative tools for healthcare process improvement and equity assessment.

• Sensors
• Nanotechnology
• Liquid Metals
• +4 more

Professor Kourosh Kalantar Zadeh is the Head of School of Chemical and Biomolecular Engineering at the University of Sydney. He also holds adjunct professorships at UNSW and RMIT. His research focuses on sensors, nanotechnology, liquid metals, and medical devices. He has over 500 publications and is a member of prestigious editorial boards. **Awards**: Includes AAAS Fellowship (2021), Robert Boyle Prize (2020), Walter Burfitt Prize (2019), and multiple Clarivate Highly Cited recognitions. His work has been featured in over 350 media outlets, including BBC, Time Magazine, and Nature. **Research**: Innovations include ingestible gas-sensing capsules, smart paints, and liquid metal-based catalysis. Supervises 10 PhD students in areas like functional materials and medical devices. **Grants**: Leads ARC Laureate Fellowship projects on liquid metals and NHMRC grants for gut metabolite sensing. Part of the ARC Centre of Excellence in Future Low-Energy Electronics. **Engagement**: Media engagements highlight breakthroughs in sensors, liquid metals, and environmental technologies. Collaborates across disciplines to translate research into practical applications.

• Climate Change
• Environmental Hydrology
• Extreme Rainfall Patterns
• +3 more

Dr Conrad Wasko is a Sydney Horizon Fellow at the University of Sydney and an honorary fellow at the University of Melbourne. He specializes in environmental hydrology and climate change impacts on extreme rainfall and flooding. His work has been cited by the IPCC and he co-leads the update to Australia’s flood estimation guidelines. Previously, he held an ARC DECRA Fellowship and a McKenzie Fellowship. He has published over 50 articles and received awards including the Batterham Medal (2023) and the MSSANZ Early Career Research Excellence Award (2019). His research focuses on quantifying climate-driven changes in rainfall patterns and flood risks, with applications to infrastructure resilience and policy. Education: PhD in Civil Engineering, UNSW Sydney (2016) Bachelor/Master’s qualifications (not explicitly stated in text) Key Roles: Member of The Net Zero Institute Editor of Journal of Hydrology X and Advances in Water Resources Hydroclimate Stream Leader, Modelling and Simulation Society of Australia and New Zealand His research emphasizes the intensification of extreme rainfall events with global warming, particularly their implications for flood risk and urban infrastructure. He uses advanced statistical models and climate data to project future flood scenarios and improve design standards. Recent work includes analyzing non-stationary rainfall patterns and improving flood frequency analysis techniques. Awards and Honors: Batterham Medal (Australian Academy of Technological Sciences and Engineering, 2023) Veski Victoria Fellow (2020) MSSANZ Early Career Research Excellence Award (2019) Lorenz G Straub Award (2016) Grants and Projects: ARC DECRA Fellowship (University of Melbourne) Contributions to national climate change adaptation frameworks Labs and Collaborations: Partnerships with the Water Research Centre (UNSW) and the Net Zero Institute Collaborations on global flood risk assessments and hydrological modeling tools

Jie XuView profile

Researcher

• Polymer Electronics
• Flexible Electronics
• Sustainable Materials
• +4 more

Jie Xu is a Scientist at Argonne National Laboratory and a CASE Affiliated Scientist at the University of Chicago, Pritzker School of Molecular Engineering . Her research focuses on engineering durable, scalable, and sustainable polymer semiconductors for skin-like electronics and autonomous material discovery. Education : PhD in Chemistry (Nanjing University), Postdoctoral Fellow (Stanford University) Her research bridges polymer physics , self-driving laboratories , and AI-guided material synthesis to address challenges in stretchable electronics, recyclable polymers, and energy-efficient manufacturing. She pioneered polymer circuits that remain conductive under extreme deformation and developed the first roll-to-roll mass-production method for stretchable semiconductors. Her 15 most recent articles highlight advancements in AI-driven polymer discovery , biodegradable electronics , and multi-modal energy dissipation . Key themes include autonomous experimentation , hydrogen-bonded polymer systems , and machine learning for conjugated polymers , with applications in wearable medical sensors , soft robotics , and human-computer interfaces . Scientific accolades include the Materials Research Society Postdoctoral Award , MIT Technology Review’s Innovators Under 35 , and recognition as a Scialog Fellow . She serves on editorial boards for APL Machine Learning and Flexible Electronics , and her team at Argonne includes postdocs and students working on self-driving labs and degradable polymers .

Patrick J. WalshView profile

Professor

• Catalysis
• Organic Chemistry
• Inorganic Chemistry
• +7 more

Patrick J. Walsh is the Rhodes-Thompson Professor of Chemistry at the University of Pennsylvania’s College of Arts & Sciences. He leads the Walsh Group, focusing on catalytic methodologies and synthetic chemistry with an emphasis on merging organic/inorganic synthesis and exploring unusual reactivity. His educational background includes a B.A. in Chemistry from UC San Diego (1986), a Ph.D. in Chemistry from UC Berkeley (1991), and a NSF Postdoctoral Fellowship at The Scripps Research Institute (1991–1994). His research interests span catalysis, radical chemistry, and transition metal systems, with key projects involving cation-pi interactions for C-H activation, super electron-donor (SED) 2-azaallyl anions, and photoredox-driven reactions. The group also develops pharmaceutical analogs like bioisosteric BCP compounds and explores transition metal-free syntheses for complex molecules. Recent publications highlight advancements in Ce(III) photoredox systems, Smiles rearrangement applications, and nickel-catalyzed enantioselective reactions. The work demonstrates a focus on sustainable catalytic strategies, mechanistic innovation, and novel compound construction. No scientific awards are explicitly listed in the provided texts. Professor Walsh’s advising spans doctoral, master’s, and undergraduate students, contributing to lab efforts in catalysis and organic synthesis. His team collaborates on diverse projects, including molecular glassformer design and radical relay pathways. Labs/teams: The Walsh Group at Penn actively researches in the areas of synthetic chemistry, catalysis, and radical-mediated reactions. The group emphasizes interdisciplinary approaches and includes visiting scholars alongside traditional academic trainees.

Alicia L CarriquiryView profile

Professor

• Forensic Science
• Statistics
• Nutrition Epidemiology
• +3 more

Alicia L Carriquiry is a Distinguished Professor and President's Chair at Iowa State University, serving as Director of the Center for Statistics and Applications in Forensic Evidence (CSAFE). She holds a PhD in Statistics from Iowa State University (1989), an MS from the University of Illinois at Urbana-Champaign/ISU (1985/1986), and a BS from Universidad de la Republica in Uruguay (1981). Her research focuses on applying statistical methods to forensic science, nutrition epidemiology, and plant and animal breeding, with a particular emphasis on Bayesian frameworks. Recent research emphasizes forensic evidence analysis, including footwear impression algorithms, handwriting software development, and probabilistic evidence assessment tools. She also explores dietary intake patterns in populations across Latin America and Southeast Asia, addressing nutrient deficiencies and public health interventions. Her work bridges statistical rigor with practical applications in criminal justice, improving forensic methodologies through algorithmic innovation and interdisciplinary collaboration. As CSAFE Director, she leads initiatives to enhance statistical foundations in forensic disciplines, train practitioners, and develop open-source datasets. Notable contributions include database search methodologies, error rate analyses, and software tools like handwriter for handwriting analysis. Her research underscores the importance of probabilistic reasoning in legal contexts and addresses challenges in multi-camera source identification and nonlinear image distortion correction. Carriquiry’s leadership extends to editorial roles and professional service, advancing statistical standards in forensic science. She remains active in training programs and collaborative research projects, fostering reproducibility and relevance in scientific inquiry.