جست‌وجوی استاد و پژوهشگر

Madhur Tulsianiمشاهده پروفایل

استاد

• Theoretical Computer Science
• Complexity Theory
• Algorithm Design
• +۳ مورد دیگر

Madhur Tulsiani is a Professor at the University of Chicago's Department of Computer Science and a researcher at the Toyota Technological Institute at Chicago (TTIC). His research focuses on theoretical computer science, particularly complexity theory and algorithm design, with applications in coding theory and information theory. He has been supported by NSF grants 1254044, 1816372, and 2326685. Education: Bachelor’s in Computer Science, IIT Kanpur (2001-2005) Ph.D. in Computer Science, UC Berkeley (2005-2009), advised by Luca Trevisan Postdoctoral fellowships at the Institute for Advanced Study (IAS) and Princeton University Research Interests: Mathematical foundations of computation Complexity theory and algorithm design Coding theory and error-correcting codes Sum-of-Squares hierarchies and approximation algorithms Recent Contributions: Pioneering work on list decodable codes and expander-based constructions Advances in approximation algorithms for high-dimensional expanders Lower bounds for Sum-of-Squares algorithms using high-dimensional expanders Teaching: Information and Coding Theory Mathematical Toolkit (linear algebra/probability) Summer REU programs in theoretical computer science Students: Advised PhD students including Fernando Granha Jeronimo, Goutham Rajendran, and Shashank Srivastava Co-advised students with Sasha Razborov, Janos Simon, and others Labs/Groups: Member of the Theoretical Computer Science Group at TTIC and UChicago, contributing to cross-disciplinary research in algorithms and complexity.

John H. Reifمشاهده پروفایل

استاد

• DNA Computing
• Molecular Assembly
• Robot Motion Planning
• +۴ مورد دیگر

John H. Reif is a Professor of Computer Science at Duke University, with secondary appointments in the Thomas Lord Department of Mechanical Engineering and Materials Science (since 2024) and the Department of Electrical and Computer Engineering (since 2016). His research spans DNA computing , molecular assembly , robot motion planning , and quantum computation , focusing on programmable biomolecular systems and parallel algorithms. Education: Ph.D. in Applied Mathematics, Harvard University (1977) M.S. in Applied Mathematics, Harvard University (1975) B.S. in Applied Mathematics and Computer Science, Tufts University (1973) His recent publications emphasize DNA strand displacement , molecular-scale learning systems , and 3D DNA nanostructures , with applications in diagnostics, data storage, and nanofabrication. Articles highlight innovations in error-resilient DNA circuits, programmable self-assembly, and algorithmic modeling of molecular processes. Scientific Awards: Fellow of the American Association for the Advancement of Science (AAAS) Fellow of the Association for Computing Machinery (ACM) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) He has supervised numerous Ph.D. students and postdoctoral researchers , including Rajiv Nagipogu (adaptive molecular systems) and Xin Song ( Daniel Fu , DNA computation on cell membranes). His work is funded by grants from the Defense Advanced Research Projects Agency (DARPA) and the National Science Foundation (NSF) , with recent focus on molecular-scale AI and DNA polymerase reaction networks. Reif co-founded Domus Diagnostics , developing affordable infectious disease testing solutions. He served as General CoChairman of FNANO24 and contributes to teaching courses like Computational Complexity and Molecular Assembly and Computation .

Joe Charles Campbellمشاهده پروفایل

استاد

• Optoelectronic Devices
• Photodetectors
• Avalanche Photodiodes
• +۳ مورد دیگر

Joe Charles Campbell is the Lucien Carr III Professor of Electrical and Computer Engineering at the University of Virginia. Previously, he held the Cockrell Family Regents Chair in Engineering at the University of Texas at Austin (1989–2006). His research focuses on optoelectronic devices, particularly high-performance photodetectors for fiber optics communications, including avalanche photodiodes (APDs), Si-based optoelectronics, and mid-infrared detection technologies. He has authored over 400 journal articles and 400 conference presentations, with notable contributions to low-noise avalanche photodiodes and material innovations like AlInAsSb alloys. His work emphasizes high-speed, low-noise, and radiation-tolerant photodetection systems. Education: B.S. Physics (University of Texas at Austin, 1969), M.S. and Ph.D. Physics (University of Illinois at Urbana-Champaign, 1971 and 1973). Postdoctoral research at University of Illinois (1973–1974). Early career included roles at Texas Instruments (integrated optics) and AT&T Bell Labs (optoelectronic devices). Research Highlights : Development of AlInAsSb-based APDs for single-photon counting and mid-infrared detection. Advances in high-power, high-linearity photodiodes and flip-chip bonded designs for thermal dissipation. Pioneering work in staircase avalanche photodiodes with optimized excess noise characteristics. Awards & Recognition : Member of the National Academy of Engineering (2002). Lucien Carr III Professorship (University of Virginia). Labs & Teams : Leads the Photonic Devices Group at UVA, focusing on optoelectronic materials and device fabrication. Collaborates on radiation-tolerant photodetectors and integrated photonic platforms.

• Nanomaterials
• Photophysics
• Sensor Development
• +۶ مورد دیگر

Alice Sciortino is a Researcher at the Department of Physics and Chemistry - Emilio Segrè within the School of Science at the University of Palermo. Her position code PHYS-03/A indicates a research-focused academic track in the Italian university system. She maintains regular office hours on Tuesdays from 11:30 to 12:30 through the university's student portal system. Her research centers on advanced photonic nanomaterials with particular expertise in carbon nanodots , quantum dot superstructures , and metal-organic frameworks . Key research themes include: Nanoscale light emission and lasing phenomena Design of optical sensors for environmental and biomedical applications Photocatalytic systems for environmental remediation Hybrid nanomaterial interfaces for energy transfer Ultrafast photophysical characterization of nanomaterials Analysis of her recent publications (2023-2025) reveals a strong trajectory toward multifunctional nanoplatforms combining optical, magnetic, and catalytic properties. Her work increasingly bridges fundamental photophysics with practical applications in environmental monitoring and biomedicine, particularly in heavy metal detection (Hg²⁺, Ni²⁺) and tissue engineering. The publication record shows consistent high-output research with frequent collaborations across Italian institutions. While no formal scientific awards are documented in the provided materials, her extensive publication record in high-impact journals demonstrates significant scholarly contributions to nanophotonics and materials science. Dr. Sciortino's research program appears to focus on experimental nanomaterials development with strong emphasis on optical characterization techniques. Her work on carbon dot-MOF hybrids and quantum dot superparticles suggests leadership in designing next-generation photonic nanomaterials with tunable properties. The consistent funding evident from her publication output likely supports laboratory infrastructure for nanomaterials synthesis and advanced optical spectroscopy.

Esther Hänggiمشاهده پروفایل

استاد

• Cyber Security
• Quantum Cryptography
• Information Security
• +۳ مورد دیگر

Esther Hänggi is a Professor and Co-Head of the Applied Cyber Security Research Lab at Lucerne University of Applied Sciences and Arts (HSLU), within the Lucerne School of Computer Science and Information Technology. She holds a Dr. sc. ETH Zurich in quantum information and cryptography and a MSc in Physics from EPF Lausanne. Her research focuses on cyber security, quantum cryptography, and quantum computing, with emphasis on practical applications like quantum-safe cryptography and post-quantum algorithms. She has led projects such as the Quantum-safe Hardware Security Module and contributed to initiatives like the IFZ FinTech. Her work bridges theoretical advancements and real-world implementations, including privacy amplification libraries and quantum key distribution systems. Notable awards include the ETH Medal for her doctoral thesis. She actively collaborates with institutions like the Swiss Quantum Initiative and the European Cyber Security Organisation, promoting quantum resilience in security systems.

Xiaokui Xiaoمشاهده پروفایل

استاد

• Data Management
• Data Analytics
• Data Privacy
• +۵ مورد دیگر

Prof. Xiaokui Xiao is a Professor and Deputy Head (Research & Graduate Matters) at the Department of Computer Science, National University of Singapore (NUS). He previously held an Associate Professor position at Nanyang Technological University (NTU). His academic journey includes a PhD from the Chinese University of Hong Kong (2008) and a postdoctoral stint at Cornell University. His research focuses on data management and analytics, with emphasis on large data algorithms, privacy (e.g., differential privacy), and data mining. Notable contributions include the PrivBayes system for private data release and scalable network embedding techniques. Awarded the 2024 ACM SIGMOD Test-of-Time Award, IEEE Fellowship (2022), and ACM Distinguished Membership (2021), Xiao is also a trustee of the VLDB Endowment and Editor-in-Chief of Proceedings of the VLDB Endowment . He has advised over 30 PhD students and researchers, many of whom hold academic or industry leadership roles. His work bridges theoretical foundations with practical systems, addressing challenges in privacy, scalability, and machine learning integration.

• Statistical Inference
• Machine Learning
• Bioinformatics
• +۳ مورد دیگر

Lucy Gao is an Assistant Professor in the Department of Statistics at the University of British Columbia (UBC). Her research focuses on statistical inference, machine learning, and bioinformatics, with particular emphasis on clustering methods, high-dimensional data analysis, and optimal design theory. She holds a faculty position within UBC’s Faculty of Science and is affiliated with the Vancouver Campus. Her work spans theoretical developments in statistical methodologies and applications to biological data, such as single-cell RNA sequencing analysis. She has contributed to areas like selective inference for hierarchical clustering and algorithmic optimization for complex systems. Her email is lucy.gao@stat.ubc.ca, and she maintains a website at https://www.lucylgao.com/ . Recent publications highlight her expertise in data thinning techniques, latent variable modeling, and multiview network analysis. She has explored topics ranging from negative binomial count splitting in genomics to bilevel optimization algorithms. Her research bridges statistical theory and practical computational challenges in modern data science. No scientific awards or advising records are explicitly listed in the provided materials. Her academic contributions are primarily through peer-reviewed articles and methodological innovations.

Bryan Wardمشاهده پروفایل

استادیار

• Real-Time Systems
• Embedded Systems Security
• Cyber-Physical Systems
• +۳ مورد دیگر

Bryan Ward is an Assistant Professor of Computer Science and Electrical and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on enhancing the security and resilience of real-time and embedded systems in critical domains such as industrial control systems and space systems. Ward holds a Ph.D. in Computer Science from the University of North Carolina at Chapel Hill, along with dual bachelor's degrees in Computer Science and Engineering and Mathematics from Bucknell University. His academic contributions span multiple areas including operating system security, real-time scheduling, and hardware-software co-design for safety-critical systems. Key research themes include control-flow integrity, secure resource management in multi-core environments, and mitigating timing-based attacks in real-time embedded systems. Ward's work has explored advanced defense mechanisms like dynamic address space randomization, tagged architecture implementations, and retry-free transactional memory models. He has also investigated vulnerabilities in kernel scheduling and cache-sharing behaviors in multi-core platforms, proposing novel solutions to ensure predictability and security. Current projects emphasize securing cyber-physical systems through adaptive defenses that maintain strict timing guarantees required for safety-critical applications.

Brad S. Karonمشاهده پروفایل

استاد

• Point-of-Care Testing
• Clinical Laboratory Medicine
• Pathology
• +۵ مورد دیگر

Brad S. Karon, M.D., Ph.D. is a Professor in the Department of Laboratory Medicine and Pathology at Mayo Clinic in Rochester, Minnesota. He currently serves as Dean of the Mayo Clinic School of Health Sciences (2022-present) and previously held the position of Associate Dean for Academic Affairs (2014-2020). His leadership extends to the College of American Pathologists where he serves on the Board of Governors (2020-present) and has held numerous committee positions. Dr. Karon received his MD/PhD from the University of Minnesota Medical School in 1996 and completed his Clinical Pathology residency at Barnes-Jewish Hospital, Washington University School of Medicine in 1999. His undergraduate education includes a BA Summa cum laude in Chemistry with a Biology minor from the University of Minnesota (1989). His research primarily focuses on point-of-care testing (POCT) with particular expertise in glucose monitoring, bilirubin measurement, and diagnostic test validation. He has published extensively on the accuracy and implementation of POCT devices in clinical settings, including numerous studies on glucose meters, coagulation monitoring, and SARS-CoV-2 testing. His work bridges the gap between laboratory medicine and clinical practice, emphasizing the importance of accurate diagnostic testing at the point of care. His 15 most recent publications demonstrate a strong focus on diagnostic test validation, particularly for point-of-care applications. His research spans glucose monitoring systems, SARS-CoV-2 testing methodologies, bilirubin measurement in neonates, and cardiac biomarker testing. A recurring theme is the rigorous evaluation of test performance characteristics and their clinical implications. 2024 Outstanding Contributions to Point-of-Care Testing Association for Diagnostics & Laboratory Medicine 2023 President's Honor Award College of American Pathologists 2022 President's Honor Award College of American Pathologists 2018 Department of Laboratory Medicine and Pathology Innovation and Leadership in Education Award Multiple AACC Outstanding Speaker Awards (2009-2017) 2013 Outstanding Physician/Scientist Educator Mayo Clinic School of Health-Related Sciences Dr. Karon has held numerous leadership positions in professional organizations including the Association for Diagnostics & Laboratory Medicine (formerly AACC), College of American Pathologists, and Clinical and Laboratory Standards Institute. He has served on advisory panels for the Centers for Disease Control and Prevention and Food and Drug Administration, demonstrating his influence in shaping diagnostic testing standards and regulations. His educational leadership includes serving as Residency Program Director and developing curricula for pathology training programs. As Dean of the Mayo Clinic School of Health Sciences, he oversees educational programs that train healthcare professionals in various laboratory and clinical disciplines. His work in medical education has been recognized with multiple awards, reflecting his commitment to developing the next generation of laboratory medicine professionals.

• Quantum Cryptography
• Post-Quantum Cryptography
• Quantum-Safe Security
• +۳ مورد دیگر

Iyán Méndez Veiga is a Research Associate and Doctoral Student at the Lucerne School of Computer Science and Information Technology, part of the Lucerne University of Applied Sciences and Arts (HSLU). Their research focuses on quantum cryptography, post-quantum security protocols, and privacy amplification. They have conducted studies on adversarial wiretap channels and reproducible builds in open-source systems like Arch Linux. Education includes a BSc in Physics from the University of Oviedo, Spain, and an MSc in Physics from Ulm University, Germany. Their work bridges theoretical cryptography with practical implementations, such as developing the randextract library for validating privacy amplification algorithms. Key projects include quantum-safe hardware security modules, implications of post-quantum cryptography on certificate management, and quantum cryptography in practice. Presentations emphasize topics like quantum hardware verification and secure communication protocols. Collaborations with institutions like the University of Applied Sciences and Arts Northwestern Switzerland highlight their applied research focus.

Eric R. Fossumمشاهده پروفایل

استاد

• Solid-State Image Sensors
• CMOS Active Pixel Sensors
• Quanta Image Sensors
• +۴ مورد دیگر

Eric R. Fossum is the John H. Krehbiel Sr. Professor for Emerging Technologies at the Thayer School of Engineering at Dartmouth College. He serves as Vice Provost for Entrepreneurship and Technology Transfer and Director of Dartmouth's PhD Innovation Program. As one of the world's leading experts in solid-state image sensors, he invented the CMOS active pixel sensor technology that revolutionized digital imaging in smartphones, medical devices, and automotive systems. His work has earned him numerous accolades, including the National Medal of Technology and Innovation (2025) and the Queen Elizabeth Prize (2017). His research interests focus on: Solid-state image sensors (CCDs, CMOS active pixel sensors, Quanta Image Sensors) Advanced imaging systems and on-chip processing New applications for image sensors in medicine, security, and space Dr. Fossum's recent publications demonstrate significant advancements in: Photon-counting sensors for low-light applications High-speed imaging for microscopy and radiography Backside-illuminated and sub-diffraction-limit pixel designs Quantum random number generation using sensor technology Infrared spectral extension of CMOS sensors His scientific awards include: National Medal of Technology and Innovation (2025) Queen Elizabeth Prize for Engineering (2017) IEEE Andrew S. Grove Award (2009) Induction into National Inventors Hall of Fame (2011) Emmy Award for Technology & Engineering (2021) Doctor of Science, Honoris Causa from Trinity College (2014) As an entrepreneurial leader, Dr. Fossum has: Co-founded Gigajot Technology with former PhD students Previously led Photobit and Siimpel Corporations Active participant in technology transfer initiatives at Dartmouth Founder and Past President of the International Image Sensor Society

Jarryd Plaمشاهده پروفایل

دانشیار

• Quantum Information Processing
• Quantum Technologies
• Spin-based Quantum Computation
• +۳ مورد دیگر

Associate Professor Jarryd Pla is an experimental physicist and electrical engineer at the University of New South Wales, specializing in quantum information processing and quantum technologies. He holds a PhD in Electrical Engineering from UNSW (2013) and a first-class honors BEng in Photonic Engineering (2009). Current ARC Future Fellow Former Bragg Gold Medal recipient His research focuses on: Spin-based quantum computation in silicon Superconducting quantum circuits Quantum-noise-limited microwave amplifiers Hybrid quantum systems for quantum memory Quantum sensing and spectroscopy Recent publications highlight: Room-temperature maser amplifiers Kinetic inductance parametric amplifiers Coherent control of donor spins Quantum-limited electron spin resonance Scientific Awards: ARC Future Fellowship (2024-2028) Bragg Gold Medal His grants include: ARC DECRA (2019-2022): Superconducting hybrid quantum technologies ARC Discovery Project (2021-2024): Quantum sensing with semiconductor devices ARC Future Fellowship (2024-2028): Room-temperature diamond-based microwave detection

Michael Huberمشاهده پروفایل

پژوهشگر

• Virology
• Metagenomics
• Next-Generation Sequencing
• +۳ مورد دیگر

Michael Huber, PD Dr., is the Head of the Research Group Huber at University Hospital Zurich, specializing in diagnostics and development. His work focuses on advanced viral diagnostics using Next-Generation Sequencing (NGS) for immunocompromised patients. Research Interests: His research bridges virology, metagenomics, and infectious disease etiology, particularly in immunocompromised settings such as transplantation, primary immunodeficiencies, and HIV infection. He aims to improve tailored diagnostics and treatment options through viral metagenome analysis. Scientific Contributions: Recent publications highlight virus sequence-independent amplification by random PCR combined with NGS to study emergent disease-specific viruses. These methods aim to address previously undetermined infection causes.

Chi Wangمشاهده پروفایل

استاد

• Cancer Biostatistics
• Bioinformatics
• Survival Analysis
• +۱۰ مورد دیگر

Chi Wang, Ph.D., is Professor of Internal Medicine and Statistics at the University of Kentucky, Associate Director of the Biostatistics & Bioinformatics Shared Resource, and a lead computational scientist within the Markey Cancer Center. With an h-index of 39 and >5,300 citations, he develops cutting-edge survival-analysis and high-dimensional-omics methods that are translated into prostate, breast, lung and neuroblastoma trials. Education: Ph.D. Biostatistics, Johns Hopkins University, 2009 M.S. Statistics, Peking University, 2003 B.S. Mathematics, Peking University, 2001 Research Focus: Wang’s group integrates Bayesian statistics, machine-learning and single-cell sequencing to model tumor evolution, drug resistance and biomarker-driven adaptive trials. Major themes include enzalutamide resistance in prostate cancer, PLK1-mediated immune evasion in lung adenocarcinoma, obesity-adipose drivers of breast cancer, and epigenetic reprogramming of tumor-infiltrating lymphocytes. Recent Article Trends (2023-2025): Fifteen showcased papers reveal a dual trajectory—(1) mechanistic dissection of kinases (PLK1, DDR1, ABL1/2) and metabolic enzymes (FASN, NNMT, HSP47) that orchestrate resistance and metastasis, and (2) probabilistic algorithms for temporal mutation ordering, biomarker evaluation and single-cell deconvolution. Overarching keywords are precision oncology, drug resistance, tumor micro-environment, and computational systems biology. Funding & Awards: He is PI/co-I on 152 grants (32 active) from NCI, ACS, V Foundation, etc., totaling >$30 M direct costs. Highlights include NCI U01 for predictive biomarkers, American Cancer Society award on collagen lysyl hydroxylase metastasis drivers, and NCI R01s targeting NNMT in triple-negative breast cancer and TIL epigenetic reprogramming in NSCLC. Student & Team Mentorship: Wang trains a large multi-disciplinary cohort of Ph.D. students, post-docs and clinical fellows who routinely lead first-author papers and are funded on his grants. His lab sits within the Markey Cancer Center’s Molecular & Cellular Oncology program and the Center for Computational Sciences, fostering daily bench-to-bedside collaboration.

• Self-organization of soft matter
• Photonics of nanomaterials
• Organic optoelectronic materials
• +۹ مورد دیگر

Thomas Fuhrmann-Lieker serves as Associate Professor in the Faculty of Mathematics and Natural Sciences at the University of Kassel, where he leads the Physical Chemistry of Nanomaterials research group. His laboratory is located at Heinrich-Plett-Str. 40, 34132 Kassel in Space IBC, room 3111, with contact information th.fuhrmann@uni-kassel.de and +49 561 804-4720. He maintains an active research program with multiple PhD students, postdoctoral researchers, and specialized projects across nanomaterials science. Professor Fuhrmann-Lieker's research focuses on self-organization and photonics of soft matter , applying physicochemical principles to create optical functions in soft materials. His work spans two primary domains: organic optoelectronic materials and hybrid biological materials . In organic optoelectronics, his group develops molecular glasses for vacuum vapor deposition, with expertise in spiro-type compounds for organic lasing. Current projects investigate random lasers generated from mechanically stressed films that form surface corrugations (wrinkles), achieving stimulated emission even in everyday materials like copy paper. His team also explores 3D-nanofabrication using azo materials responsive to polarized light, creating complex structures from flat layer systems. In biological materials research, Professor Fuhrmann-Lieker studies diatoms (single-celled algae with ornamental silica cell walls) as natural photonic crystals. His work examines biomineralization processes, particularly the role of highly phosphorylated proteins in silica formation, and explores connections between diatom reproduction mechanisms and pattern formation within the "Biological clocks" graduate program. Additional research investigates renewable biopolymers for biomedical applications including drug delivery systems and bone tissue regeneration. His laboratory maintains active projects in five specialized areas: Renewable Biopolymers, Photolithography, Biomineralization Processes, Wrinkled Amorphous Films, and Biological Clocks. Analysis of Professor Fuhrmann-Lieker's publication record reveals a consistent trajectory in molecular photonics and biomineralization research. His most recent work (2019-2020) focuses on random lasing in wrinkled organic glasses and paper-based photonics, demonstrating practical applications of fundamental principles. Earlier publications establish his pioneering work on diatoms as photonic crystals (2004) and molecular glasses for optoelectronic applications (1999-2015). The research shows strong interdisciplinary connections between chemistry, physics, biology, and materials science, with applications spanning optoelectronics to biomedical engineering. Professor Fuhrmann-Lieker supervises a diverse research team including postdoctoral researcher Dr. Marilia Horn (biopolymers and nanopharmacy), PhD students Lukas Wolfram (wrinkled amorphous films), Jonas Ziebarth (biological clocks), Benedikt Mohr (biomineralization processes), Sekvan Bagatur (3D-nanofabrication), and visiting PhD student Eduardo Milan (renewable resources). His former PhD students include Nicolai Hoinka (random lasers in paper) and Michael Grimann (phase separation in molecular glasses, 2018). The research group participates in interdisciplinary initiatives including the PhosMOrg consortium for biomimetic approaches to silica formation.