Matthias Schlottbom is an Associate Professor specializing in Mathematics of Computational Science, with a focus on numerical methods and their applications in physics, biology, and engineering. His research integrates advanced computational techniques with interdisciplinary problems, including radiative transfer, photonic crystals, and chemotaxis modeling. Research Interests: Schlottbom’s work spans numerical analysis, finite element methods, and machine learning. He develops high-order discretization schemes, iterative solvers for anisotropic transport, and mathematical frameworks for biological network formation. Publications: Recent articles highlight his contributions to accelerating radiative transfer simulations, extending component mode synthesis for Helmholtz equations, and analyzing diffusion limits in kinetic models. His work often bridges computational mathematics with practical applications in photonics and multiscale systems. Collaborations: He actively collaborates on datasets for optical simulations, radiative transfer algorithms, and photonic crystal modeling, contributing to open-access repositories like 4TU.Centre and Zenodo. Activities: Schlottbom has organized workshops such as the Kinetic Theory Workshop in the Netherlands and delivered keynotes on residual minimization and data-driven methods for transport equations. Scientific Awards: No specific awards or fellowships are mentioned in the provided materials. Advising & Grants: Details about students, advising roles, or grant funding are not included in the available data.
Alex Q. Huang holds the Dula D. Cockrell Centennial Chair in Engineering and serves as Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin. Recognized globally for expertise in power semiconductor devices and power electronics, he has authored over 400 scholarly publications throughout his career. His pioneering research spans critical energy technology domains: Power Semiconductor Devices Advanced Power Electronics Renewable Energy Integration and Smart Grid Power Management Integrated Circuits Dr. Huang originated the Energy Internet concept and developed Solid State Transformer-based Energy Router technology. Having mentored more than 70 PhD and master's students, he actively seeks new research collaborators among prospective graduate students and postdoctoral researchers.
Professor Inge Hoff is affiliated with the Norwegian University of Science and Technology (NTNU) in the Department of Civil and Environmental Engineering, where he has served since 2009. Prior to this, he held roles as senior researcher and research leader at SINTEF. Research Interests : Materials for road construction, frost protection, laboratory testing, pavement dimensioning, road rehabilitation, state development modeling, ground-penetrating radar surveys, and concrete/natural stone coverings. Students : Mentors active PhD fellows Lisa Hannasvik, Arman Hamidi, Clara Weber, and Shoiab Ahmad. Teaching : Coordinates courses like TBA4204/BYGT1102 Transport Infrastructure , BYGT2204 Road and Railway Construction , and BA8600 Pavement Structure Dimensioning . Recent publications highlight his expertise in granular material behavior, asphalt durability under climate stressors, and advanced structural assessment techniques. Collaborations with international researchers and presentations at major conferences (TRB, International Conference on Bituminous Mixtures) demonstrate his ongoing contributions to road engineering.
Karen S. Anderson, M.D., Ph.D. is a Professor of Medicine at Mayo Clinic in Phoenix, Arizona, where she serves as a Contract Physician in the Division of Hematology/Oncology within the Department of Internal Medicine. Her clinical practice focuses on breast cancer, and she is affiliated with the Mayo Clinic Comprehensive Cancer Center and the Breast Clinic. As an active researcher, Dr. Anderson leads clinical trials in breast cancer immunotherapy and biomarker development. Dr. Anderson's educational background includes: Medical Scientist Training Program (MD), Duke University School of Medicine (1994) Ph.D. in Microbiology and Immunology, Duke University (1994) BA in Chemistry, University of Virginia (1986) Internship and Residency in Internal Medicine, Brigham and Women's Hospital, Boston Fellowship in Adult Hematology and Oncology, Dana Farber Cancer Institute Dr. Anderson's research focuses on cancer immunology with particular emphasis on breast cancer biomarkers, ovarian cancer biomarkers, pancreatic cancer biomarkers, cancer vaccines, and HPV-related cancers. Her work spans from basic immunology to clinical applications, with a strong focus on translating laboratory findings into clinical practice. She has developed innovative approaches for early cancer detection and has been instrumental in advancing breast cancer immunotherapy through clinical trials. Analysis of Dr. Anderson's recent publications reveals a consistent focus on breast cancer immunology, biomarker discovery, and HPV-related cancers. Her work integrates molecular biology, immunology, and clinical oncology to develop novel diagnostic and therapeutic approaches. Notably, her research has expanded to include computational approaches for neoantigen prediction and has addressed public health challenges including HPV-related cancer screening and even COVID-19 vaccine strategies. Dr. Anderson has received several prestigious awards: Outstanding Faculty Mentor Arizona State University Faculty Women's Association (2020) Chief Resident West Roxbury VA Hospital (1996) Phi Beta Kappa University of Virginia (1986) Merck Scholar (1986) Alpha Omega Alpha Honor Medical Society (1986) Echols Scholar University of Virginia (1982) Dr. Anderson has been actively involved in mentoring students and early-career researchers, serving on numerous thesis committees at Arizona State University across multiple departments including Molecular and Cellular Biology, Chemistry, and the Barrett Honors College. Her research is supported by multiple grants from the National Cancer Institute, including her role as Co-Chair of the Breast and Gynecologic Cancers Collaborative Group within the Early Detection Research Network. Dr. Anderson is a key member of the Arizona Biomarker Alliance Executive Committee and has established collaborative research teams focused on cancer biomarker discovery and validation. Her laboratory work integrates protein microarray technology, immunology, and cancer genomics to develop novel diagnostic and therapeutic approaches for breast and HPV-related cancers.
Jinsong Huang serves as Adjunct Professor in the Materials Science and Engineering department at the University of North Carolina at Chapel Hill, where he leads an interdisciplinary research group focused on perovskite-based electronic materials and devices. His laboratory, housed in Murray Hall 1115, maintains active collaborations with academia, industry, and national laboratories while training next-generation scientists and engineers for competitive job markets. Dr. Huang earned his educational credentials through a rigorous academic path: Ph.D. in Materials Science & Engineering from UCLA (2007), M.S. in Semiconductor Physics from Chinese Academy of Sciences (2003), and B.E. in Materials and Photoelectronic Physics from Xiangtan University (2000). His research program spans Perovskite Solar Cells , Photodetectors , and X-ray Imagers , with particular emphasis on fundamental material physics, device design, stability enhancement, and scalable manufacturing. The group's work bridges applied research with deep scientific understanding, focusing on high-performance, low-cost electronic materials that address critical energy and medical imaging challenges. Current projects include self-powered photon-counting detectors, bifacial perovskite modules, and all-perovskite tandem solar cells. Analysis of recent publications reveals a strategic research trajectory toward commercialization of perovskite technologies, with increasing focus on stability, scalability, and real-world performance metrics. The work spans fundamental science (defect engineering, crystal growth) to applied technologies (medical imaging detectors, flexible solar cells), demonstrating remarkable breadth while maintaining technical depth in perovskite material systems. Highly Cited Researcher 2021 in Material Science and Chemistry Principal Investigator for $1.5 million UNC System Research Opportunities Initiative (2025) Multiple student/postdoc awards including Postdoctoral Awards for Research Excellence Consistent high-impact publications in Nature, Science, and Advanced Materials Huang actively mentors students and postdocs, with notable alumni including four of the 41 Tar Heels ranked as 'highly cited researchers' in December 2023. His research group has secured significant funding including the recent $1.5 million UNC System grant for 'Ultra-High Efficiency Perovskite Tandem Solar Cells' focusing on North Carolina's energy production and reduced fossil fuel dependence. The laboratory maintains strong industry partnerships that facilitate technology transfer and real-world implementation of research findings. The Huang Research Group operates as a dynamic interdisciplinary team with scientists from chemistry, materials science, physics, and electrical engineering backgrounds. Their collaborative culture has produced numerous breakthroughs including record-efficiency perovskite modules certified by NREL, self-powered photon-counting detectors published in Nature, and lead-recycling technologies highlighted in Nature Communications. Current facilities support crystal growth, device fabrication, and advanced characterization of perovskite materials for both energy and radiation detection applications.
Yepang Liu is a tenured Associate Professor in the Department of Computer Science and Engineering at Southern University of Science and Technology (SUSTech) in Shenzhen, China. He leads the Software Quality Lab and serves as director of the Trustworthy Software Research Center within the Research Institute of Trustworthy Autonomous Systems. His educational background includes a B.Sc. with honors from Nanjing University (2010) and a Ph.D. from the Hong Kong University of Science and Technology (2015), where he was supervised by Prof. Shing-Chi Cheung. Prior to joining SUSTech, he worked as a postdoc at HKUST's CASTLE Lab and Cybersecurity Lab. Liu's research primarily focuses on software testing and analysis, empirical software engineering, AI for SE, software security, and trustworthy AI. His work bridges traditional software engineering with cutting-edge AI technologies, particularly in automated testing, security analysis, and quality assurance for mobile, blockchain, and extended reality applications. Recent projects explore how large language models can enhance bug detection, improve testing automation, and address fairness issues in machine learning systems. His contributions have been recognized with three ACM SIGSOFT Distinguished Paper awards (ICSE 2021, ASE 2016, ICSE 2014) and one Distinguished Artifact award (ICSE 2019). He has also received the ACM SIGSOFT Service Award and Distinguished Reviewer Award for his extensive service to the software engineering community. Top-10 Most Active Early-Stage Software Engineering Researcher (2013-2020) Top-10 Most Popular Instructor Among 2024 Undergraduate Graduates at SUSTech Junior Faculty of the Year (2021) SUSTech Teaching Excellence Award (2021) Outstanding Mentor Award (2020, 2024) Liu actively serves on the editorial boards of Empirical Software Engineering (EMSE) and Journal of Computer Science and Technology (JCST). He has participated in over 80 conference committees including leadership roles in ICSE, FSE, ASE, and ISSTA. His research is supported by the National Natural Science Foundation of China, National Key Research and Development Program, and leading Chinese IT companies. He regularly mentors PhD and MSc students and has guided multiple national competition award-winning teams. The Software Quality Lab under Liu's direction focuses on innovative approaches to software testing, security analysis, and quality assurance across various platforms including mobile, blockchain, and extended reality applications. Current projects emphasize the integration of AI techniques with traditional software engineering practices to address emerging challenges in software quality.
Shahid Raza is a Professor of Cybersecurity at the University of Glasgow's School of Computing Science. He previously led the RISE Cybersecurity Unit in Sweden, establishing it as a leading research group. His expertise spans IoT Security, PKI, AI-driven cybersecurity solutions, and hardware/data security. Raza holds a PhD and Docentship from Uppsala University, alongside a Bachelor's with a Gold Medal for academic excellence. Education: B.Sc. (Computer Science, 3.99/4.0 CGPA, Gold Medal), Licentiate, PhD, and Docentship in Cybersecurity from Sweden. He leads EU-funded projects like H2020 CONCORDIA and Horizon Europe CUSTODES, coordinating initiatives such as the Cyber Node and Cyber Range. Active in cybersecurity policy, he serves on the EU SCCG, ECSO, and EARTO Security & Defence Research working groups. Research Interests Public Key Infrastructure (PKI) for IoT AIAgent-Driven Cybersecurity Solutions IoT Certification Standards Hardware Security for Low-Power Devices Grants & Projects Coordinator: Horizon Europe CUSTODES Technical Leader: H2020 Arcadian-IoT Founder: RISE Cyber Range (Sweden's largest cybersecurity test facility) Awards & Memberships IEEE Senior Member Gold Medal for Academic Excellence (Bachelor's)
Dimitrios E. Anagnostou is Associate Professor in the Institute of Sensors, Signals & Systems within Heriot-Watt University’s School of Engineering & Physical Sciences, Edinburgh. He directs an anechoic-chamber & microwave characterisation facility, leads a thriving research group, and is currently recruiting PhD candidates. Education & Career: BSEE, Democritus University of Thrace, Greece (2000) MSEE, University of New Mexico, USA (2002) PhD, University of New Mexico, USA (2005) Post-doc, Georgia Tech (2005-2006) Assistant → tenured Associate Professor, South Dakota School of Mines & Technology (2007-2016) Associate Professor, Heriot-Watt University (2016-present) Research Focus: His work spans compact & reconfigurable antennas, 5G Massive-MIMO arrays, metasurfaces, metamaterials, functional materials (VO 2 ), RF-MEMS, microwave packaging, radar sensing for assisted-living, and AI/deep-learning applications in electromagnetics. He pursues “green” RF electronics printed on paper/organic substrates and hybrid integration of antennas on solar cells. Recent Publication Trends (2022-2025): Output is dominated by metasurface-enabled beam-steering antennas, VO 2 -based reconfigurable devices, radar absorbers/rasorbers, biomedical radar for vital-sign monitoring, and AI-assisted signal processing, with strong emphasis on experimental validation and open-access dissemination. Scientific Awards & Fellowships: IEEE John D. Kraus Antenna Award DARPA Young Faculty Award Marie Skłodowska-Curie Individual Fellowship (H2020) ASEE Campus Star Award Young Alumni Award, University of New Mexico Honored Faculty Award, SDSMT (×4) Distinguished Scientist Living Abroad, Hellenic Ministry of Defense Advising & Grants: He has mentored numerous PhD and MSc researchers; his students have won Best PhD Thesis and faculty-wide Engineering Prizes. He is supported by EU and UK research grants and continuously seeks motivated doctoral applicants. Facilities & Teams: He manages the Microwave Facility (anechoic chamber, mm-wave measurement systems) and collaborates with international academic/industry partners across Europe, North America and beyond.
Ulrich Tallarek serves as Professor of Analytical Chemistry in the Faculty of Chemistry at Philipps University of Marburg, where he has held a W3 professorship since 2011. He also serves on the Board of Directors for the Materials Science Center at the university, a position he has held since 2007. His research group focuses on the fundamental understanding of transport phenomena in porous media with applications spanning chromatography, battery technology, and microfluidic systems. The group maintains strong collaborations with institutions worldwide and secures substantial research funding for advanced computational and experimental work. Professor Tallarek's research interests center on functional porous solids, with specific focus on morphology-transport-performance relationships. His work bridges multiple scales from molecular dynamics simulations of solute behavior in nanopores to macroscopic transport in chromatographic columns and battery electrodes. Key research areas include diffusion in hierarchical porous media, electrokinetic phenomena in microfluidic systems, molecular simulation of chromatographic processes, and advanced characterization of porous materials using tomography and other techniques. His group has pioneered multiscale simulation approaches that connect molecular-level surface chemistry to macroscopic transport properties. The research output demonstrates consistent focus on understanding fundamental transport mechanisms in porous systems, with recent publications emphasizing multiscale simulation techniques, molecular dynamics studies of solvent effects in chromatography, advanced characterization of mesoporous structures, and applications to separation science and energy storage. The work shows strong integration of computational modeling with experimental validation across multiple length scales. 2003: Desty Memorial Prize for Innovation in Separation Science, The Royal Institution of Great Britain, London 2006: Young Scientist Award from DECHEMA e.V. 2011: Named Discussion Leader at the 2011 Gordon Research Conference on Physics & Chemistry of Microfluidics 2011–2012: Chairman of the German Chemical Society (GDCh), Marburg 2013: Finalist, World Technology Awards, for category Environment 2013: Named as one of the 100 most influential analytical scientists in the world (The Analytical Scientist Power List) 2017: Recipient of the Silver Jubilee Medal 2017, The Chromatographic Society, UK Professor Tallarek's research has been supported by numerous grants enabling high-performance computing resources, advanced instrumentation, and international collaborations. His group maintains strong ties with industry partners in separation science and analytical instrumentation. The Tallarek Research Group includes postdoctoral researchers, PhD students, and technical staff working across experimental and computational domains. Current projects focus on molecular simulation of chromatographic processes, advanced characterization of porous battery electrodes, and development of novel separation methodologies. The Tallarek Research Group operates state-of-the-art facilities for computational modeling, including access to high-performance computing resources at Forschungszentrum Jülich. The group also maintains experimental capabilities for chromatographic analysis, materials characterization, and microfluidic device development. Their work on physically reconstructed porous media has established new standards for connecting microstructure to transport properties in complex materials systems.
Vincent John Mooney III is an Associate Professor at the School of Electrical and Computer Engineering and an Adjunct Associate Professor at the School of Computer Science, Georgia Institute of Technology. His research focuses on Hardware-Software Co-Design , Cyber Physical Systems Security , and Low-Power Architectures . He has authored numerous publications on topics such as probabilistic computing, hardware security, and embedded systems design. Dr. Mooney has received prestigious awards including the NSF Career Award , National Semiconductor Fellowship , and ARCS Best Paper Award . Education: Ph.D. in Electrical Engineering (1998), Stanford University MA in Philosophy (1997), Stanford University MS in Electrical Engineering (1994), Stanford University Certificate of Graduate Study (1992), University of Navarra BS in Electrical Engineering and Computer Science (1991), Yale University Research interests span hardware/software codesign, cybersecurity in embedded systems, and synthesis of reconfigurable architectures. His recent work includes Gridtrust for decentralized supply chain cybersecurity and COPPER for computation obfuscation. Dr. Mooney has supervised numerous Ph.D. students and held leadership roles in conferences such as HOST and CASES . Scientific awards include NSF Career Award (2000) National Semiconductor Fellowship (1997-1998) AT&T Engineering Scholarship Program (1987-1991) NCAA Postgraduate Scholar (1991) Senior Member, IEEE (2003) ARCS 2012 Best Paper Award Advising and grants highlight his mentorship of students like Jun Cheol Park and Yudong Tan , along with grants such as the U.S. Air Force Summer Faculty Fellowship (2007). He leads the Hardware/Software Codesign for Security Group at Georgia Tech and has contributed to advancements in real-time operating systems and deadlock detection algorithms.
Ina Fiterau Brostean is an Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst, where she leads the Information Fusion Lab. Previously, she was a Postdoctoral Fellow at Stanford University's Mobilize Center (2015–2018) and earned her PhD in Machine Learning from Carnegie Mellon University (2015). Her research focuses on hybrid systems for multimodal data integration, particularly in healthcare, aiming to develop predictive models for clinical outcomes using time series, text, and images. Key areas include disease trajectory modeling, weakly-supervised transfer learning, and adaptive representation learning. Education: PhD in Machine Learning (Carnegie Mellon, 2015), MSc in Machine Learning (Carnegie Mellon, 2012), BEng in Computer Engineering (Politehnica Timisoara, Romania, 2009). Professional roles include teaching COMPSCI 651 (Optimization in Computer Science) and organizing NeurIPS workshops on Machine Learning in Healthcare. Research interests span machine learning methodologies for healthcare applications, including interpretable models, time series analysis, and dimensionality reduction. Notable achievements include the Marr Prize (ICCV 2015) and Star Research Award (SCCM 2016). Her lab collaborates on projects like predicting Alzheimer's disease progression and surgical outcomes using Bayesian networks and deep learning. Awards and recognitions include Rising Stars Workshop (2016), Manning IALS Research Award (2019), and GE Foundation Scholar Leader Award (2007). She actively contributes to the ML4Health community through leadership roles and workshop organization.
Dr. Vahid Hosseini is an Associate Professor and Graduate Program Chair in the School of Sustainable Energy Engineering at Simon Fraser University (SFU). His research focuses on sustainable energy systems, urban air pollution, and clean mobility solutions. He holds a Ph.D. in Mechanical Engineering from the University of Alberta (2008), and M.A.Sc. and B.Eng. degrees from Sharif University of Technology (Iran). His academic roles include leadership in graduate academic programs and engineering education. Key research areas include thermo-fluid systems analysis, vehicle emissions reduction, and urban air quality modeling. He is actively involved in projects addressing real-world driving emissions, emission inventory development, and the impact of cold climates on transportation energy consumption and pollution. Notable contributions include studies on retrofit emission control devices for motorcycles, high-emitter vehicle identification, and policy recommendations for emission reduction. His work integrates experimental methods, computational fluid dynamics (CFD), and machine learning to tackle complex environmental challenges. Teaching interests span thermodynamics, fluid mechanics, and air pollution control engineering. Current courses include SEE 325 D100 Mechanical Design and Finite Element Analysis . Research highlights include collaborations on Tehran’s air quality management, particulate matter (PM2.5) source apportionment, and the development of high-resolution emission inventories. He contributes to international conferences and journals, with a focus on practical solutions for sustainable urban transportation systems.
Leila Deravi is an Associate Professor of Chemistry and Chemical Biology at Northeastern University's College of Science, affiliated with the Barnett Institute of Chemical and Biological Analysis and the Institute for Chemical Imaging of Living Systems. Her research focuses on biomaterials design, particularly protein-based systems inspired by biological mechanisms in cephalopods and extracellular matrices. She leads the Biomaterials Design Group, which explores applications ranging from tissue engineering to wearable electronics. Her work integrates bioanalytical chemistry, materials science, and design, with projects including cephalopod pigment studies for sunscreen development and bionic material fabrication using additive manufacturing. She has secured significant grants, including an NSF award and U.S. Army funding, and co-founded Seaspire Skincare, leveraging marine biotechnology. Key Research Themes: Bio-inspired materials, cephalopod pigmentation, biomedical textiles, and sustainable cosmetics Notable Collaborations: Cross-disciplinary projects with engineering, biology, and entrepreneurship Innovation: Development of UV-sensing devices and eco-friendly skincare products Deravi's educational contributions include innovative chemistry courses where students design cosmetics, bridging theory and practical application. Her lab's work frequently appears in media discussions on skincare trends and environmental chemistry advancements.
Sunil Mittal is an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University, specializing in quantum and topological photonics. He joined Northeastern in 2021 and holds a PhD from the University of Maryland, College Park, alongside master’s degrees in Physics and Optoelectronics. His research focuses on quantum photonics, topological photonics, nonlinear photonics, and two-dimensional materials, with notable contributions to topological frequency combs and photonic quadrupole phases. Education: PhD in Electrical Engineering (University of Maryland, 2014), MS in Physics and Optoelectronics, and industry experience in optical telecommunications. Research highlights include pioneering work on topological sources of quantum light and non-Hermitian photonics systems. Recipient of 2024 and 2022 Stanford University citations (top 2% most-cited scientists) Lead co-PI on a $1.5M NSF DMREF grant (2024) for photonic materials development Recipient of Northeastern’s FY24 TIER 1 Interdisciplinary Research Seed Grant His Quantum Photonics Lab explores topological photonics applications in quantum computing and optical communication. Recent projects include using deep learning to accelerate photonic material design and studying excitonic Mott insulators in 2D heterostructures.
Niels Quack is an Associate Professor in Micro- and Nanosystems at The University of Sydney's School of Aerospace, Mechanical and Mechatronic Engineering. He joined the university in 2022 after serving as an SNSF Assistant Professor at EPFL (Switzerland). His roles include Academic Director of the Research and Prototype Foundry and membership in the University of Sydney Nano Institute. He holds a Dr.Sc. from ETH Zurich and an M.Sc. from EPFL. His research focuses on micro- and nanosystems engineering, integrating mechanics and photonics at the microscale. Key applications include fiber-optical communication, quantum sensing, and integrated photonics using diamond and silicon materials. Quack has pioneered silicon photonic MEMS and diamond micro-optics, with over 100 publications in journals like ACS Photonics , Optics Letters , and Nanoscale . He leads international collaborations with institutions like Ghent University (Belgium) and EPFL (Switzerland), and serves on editorial boards for IEEE Journal of Microelectromechanical Systems and SPIE Journal of Optical Microsystems . His awards include the Optica Senior Member distinction (2023) and Sydney Research Accelerator Prize (2023). Quack supervises PhD and Master's students in advanced micro- and nanosystems design, offering projects in programmable photonics and diamond-based biosensors. He actively recruits postdoctoral researchers and advises on funded projects like 'Nurturing Commercialization Opportunities for Multipoint Fiber-Optical Pressure Sensors.' His lab develops cutting-edge technologies such as vacuum-sealed silicon photonic MEMS and diamond nanopillar arrays, advancing applications in quantum sensing and optical communication systems.
