جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Financial Econometrics
• Graph Neural Networks
• +۵ مورد دیگر

Professor Dantong Yu is the Director of the Center for Big Data and a Professor at the Martin Tuchman School of Management at New Jersey Institute of Technology (NJIT). His research focuses on interdisciplinary applications of machine learning, financial econometrics, and high-performance computing. He leads the Terapaths project, a DOE-funded initiative developing QoS data sharing infrastructure for petascale computing. His work bridges computational methods with domains like finance, healthcare, and particle physics. Key research areas include graph neural networks for asset pricing, tensor completion algorithms for financial data integration, and FPGA-based real-time triggering systems for experiments such as sPHENIX. His studies on equity pricing leverage signed graph Laplacians, while his work on ESG disclosure impacts IPO survival analysis. Collaborations span institutions like ATLAS and sPHENIX, emphasizing data-driven solutions for complex scientific challenges. Recent publications highlight innovations in embedding imputation via self-supervised GNNs, neural network pruning for efficiency, and solar irradiance forecasting using cloud tracking. His federally funded projects address petascale data transfer and QoS optimization. Media highlights include contributions to cosmic physics research and financial market modeling. Advising and grants include DOE sponsorship for petascale infrastructure. He participates in interdisciplinary teams at NJIT’s Center for Big Data and contributes to courses like FIN 410, integrating machine learning into finance education.

Ming Liمشاهده پروفایل

مدرس

• Neuro-Oncology
• Tumor Microenvironment
• Immunotherapy
• +۳ مورد دیگر

Dr. Ming Li is a Lecturer in Clinical Neurobiology at the University of Plymouth, affiliated with the Peninsula Medical School within the Faculty of Health. His research focuses on glioblastoma (GBM) tumor microenvironment (TME), immune evasion mechanisms, and developing novel therapeutic strategies. Dr. Li completed a PhD in Molecular Biology at the University of Hong Kong and postdoctoral training at the Ludwig Institute for Cancer Research, UC San Diego. Previously, he served as an Assistant Professor in Neurosurgery at the University of Minnesota. His work integrates cutting-edge techniques including CRISPR/Cas9, spatial transcriptomics, and single-cell RNA sequencing to study GBM immunosuppression and therapeutic resistance. Research interests include understanding how innate immunity-associated genes like GBP proteins drive GBM malignancy, and exploring pharmacological interventions (e.g., PI3Kγ inhibitors) to reprogram the TME. Key projects involve combining immune checkpoint inhibitors with genetic/pharmacological approaches to enhance anti-tumor immunity. This work contributes to SDGs addressing health and innovation. Publications highlight discoveries in GBM signaling pathways (GBP3/5, FHL2, EGFRvIII), microglia/macrophage roles in TME, and drug resistance mechanisms. Ongoing studies aim to translate findings into clinical therapies.

Susan Clarkeمشاهده پروفایل

دانشیار

• Bone Regeneration
• Biomaterials Development
• Stem Cell Therapy
• +۳ مورد دیگر

Dr. Susan Clarke is an Associate Professor and Reader in the School of Nursing and Midwifery at Queen's University Belfast, specializing in bone repair and biomaterials development. Her research focuses on novel therapies for bone repair, including stem cell therapies, marine-derived bioactives, and biomaterials for orthopaedic applications. She collaborates with the Schools of Mechanical and Aerospace Engineering and Chemistry and Chemical Engineering. Dr. Clarke holds leadership roles, including Chair of the Animal Welfare and Ethical Review Board and Chair of the QUB Athena SWAN Network. She supervises PhD students in bone biomaterials and clinical orthopaedics. Her work is funded by grants such as DfE and NICRF seed funding and the Dunhill Medical Trust. Awards include the 2016 Best Paper Award from the Journal of Materials Science: Materials in Medicine. Her academic roles include teaching modules like Evidence-Based Nursing 2 and Applied Life Sciences. Current research projects explore patient predictors of stem cell response and strontium-releasing resorbable devices. Completed projects include studies on calcium phosphate cements and marine-derived bioactives. Dr. Clarke actively participates in national and international conferences, editorial boards, and mentoring initiatives like SistersIN.

Matthew Giamouمشاهده پروفایل

استادیار

• Mobile Robotics
• Convex Optimization
• Computer Vision
• +۷ مورد دیگر

Dr. Matthew Giamou is an Assistant Professor in the Department of Computing and Software at McMaster University, leading the Autonomous Robotics and Convex Optimization (ARCO) Lab. His research focuses on global optimization, sensor calibration, SLAM, and motion planning, with applications in robotics, manufacturing, and geosciences. He emphasizes developing interpretable and safety-certifiable algorithms as alternatives to deep learning. Education: B.A.Sc. in Engineering Science (University of Toronto, 2015), M.Sc. in Aeronautics and Astronautics (MIT, 2017), Ph.D. in Aerospace Studies (University of Toronto, 2022). Postdoctoral work at Northeastern University’s Institute for Experiential Robotics. Research interests include mobile robotics , convex optimization , computer vision , and machine learning . ARCO Lab’s current projects involve scalable spatiotemporal algorithms for robust perception and planning. His work bridges theoretical optimization with practical robotics challenges like multi-robot communication and medical robotics. Publications reflect a focus on geometric robotics, optimization methods, and sensor systems. Key themes include inverse kinematics, SLAM, and calibration algorithms with formal safety guarantees. Scientific Awards: - 2020 IEEE IROS Best Workshop Paper Award - 2020 Robotics: Science and Systems Best Student Paper - 2019 RBC AI Graduate Fellowship Advising: Actively mentoring graduate students in robotics and optimization. Lab activities emphasize collaboration with non-experts in fields like space exploration and manufacturing. Teaching includes advanced courses on group theory for optimization and machine learning (CAS 752). Lab Infrastructure: ARCO Lab is housed in ABB C536, with facilities for robotics prototyping and algorithm testing. Ongoing projects aim to deploy safe autonomy tools for diverse end-user domains.

• Reproductive Biology
• Molecular Biology
• Biochemistry
• +۷ مورد دیگر

Mala Mahendroo is a Professor in the Department of Obstetrics and Gynecology at the University of Texas Southwestern Medical Center. She is affiliated with the Cecil H. and Ida Green Center for Reproductive Biology Sciences and leads the Mahendroo Laboratory. Her research focuses on understanding cervical remodeling during pregnancy, particularly the mechanisms underlying preterm birth. She holds a PhD from UT Southwestern (1992) and completed postdoctoral training at UT Southwestern’s Department of Molecular Genetics, supported by NIH and the Burroughs Wellcome Fund. Dr. Mahendroo’s work integrates molecular biology, immunology, and biomedical engineering to study hormone signaling, extracellular matrix dynamics, and epithelial barrier function. She collaborates with engineers to develop imaging tools, such as fiber-optic SHG endomicroscopy, for clinical applications in preterm birth prediction. Her research has been funded by the NIH, March of Dimes, Burroughs Welcome Preterm Birth Initiatives, and The Hartwell Foundation. Key research interests include: cervical extracellular matrix composition, hyaluronan biology, steroid hormone regulation of tissue mechanics, and translational imaging technologies. Her lab employs mouse models, single-cell genomics, and biomechanical analysis to address maternal-fetal health challenges. Notable honors include the Burroughs Wellcome Fund Career Award and multiple NIH grants. She is actively involved in training graduate students (via CMB and BME programs) and postdoctoral fellows in reproductive biology and biomedical engineering.

Raviv Raichمشاهده پروفایل

استاد

• Signal Processing
• Machine Learning
• Optimization
• +۴ مورد دیگر

Raviv Raich is a Professor in the School of Electrical Engineering and Computer Science at Oregon State University. He holds a B.Sc. and M.Sc. from Tel-Aviv University (1994, 1998) and a Ph.D. from Georgia Institute of Technology (2004). His research focuses on signal processing, machine learning, optimization, and probabilistic modeling with applications in adaptive sensing, manifold learning, and sparse signal reconstruction. He has advised numerous graduate students and contributed to impactful work in bioacoustics, hyperspectral imaging, and medical diagnostics. Notable awards include the NSF CAREER Award (2013) and multiple best paper awards. His academic leadership includes editorial roles at IEEE Transactions on Signal Processing and contributions to the IEEE Signal Processing Society. Education: B.Sc. Electrical Engineering, Tel-Aviv University (1994) M.Sc. Electrical Engineering, Tel-Aviv University (1998) Ph.D. Electrical Engineering, Georgia Tech (2004) Research Interests: Statistical signal processing and machine learning frameworks Adaptive sensing strategies for optimization in imaging and tracking Manifold learning for high-dimensional data analysis Sparse representations in signal reconstruction and inverse problems Publications: Over 100 peer-reviewed articles in top venues like IEEE Transactions on Signal Processing, IEEE Sensors Journal, and Pattern Recognition Letters, emphasizing theoretical guarantees and practical applications in bioacoustics, medical imaging, and environmental monitoring. Grants: Active funding from NSF, DARPA, and industry partnerships supporting research in optimization, multi-instance learning, and hyperspectral sensing.

Binhua P Zhouمشاهده پروفایل

استاد

• Cancer Biology
• Metastasis
• Epithelial-Mesenchymal Transition (EMT)
• +۵ مورد دیگر

Binhua P Zhou is a Professor and the Madeline F. James & Edith D. Gardner Endowed Chair in Molecular and Cellular Biochemistry at the University of Kentucky’s College of Medicine. He co-directs the Center For Cancer and Metabolism and co-leads the Molecular and Cellular Oncology Program at the Markey Cancer Center. His research focuses on understanding the molecular mechanisms of cancer metastasis, particularly the role of epithelial-mesenchymal transition (EMT) and transcription factors like Snail/Slug in tumor progression. Educational Background: Dr. Zhou obtained his MD in Clinical Medicine from Guangzhou Medical University, China, and his PhD in Neuroscience from the University of Texas at Austin. He completed a postdoctoral fellowship in breast cancer research at the University of Texas MD Anderson Cancer Center. Research Interests: His work investigates how signaling pathways regulate EMT, metastasis, and cancer metabolism. Key areas include the functional roles of Snail/Slug transcription factors, NF-κB signaling, and metabolic reprogramming in breast and lung cancers. He explores translational opportunities for therapeutic targets to inhibit metastasis. Publications Overview: His research spans over 20 years, with seminal contributions on Snail regulation, EMT, and the interplay between inflammation and metastasis. Notable studies include defining Snail’s phosphorylation by GSK-3β, the role of BRD4 in EMT-driven cancers, and the metabolic vulnerabilities of basal-like breast cancer. Awards & Recognition: While specific honors aren’t listed, his leadership roles and high-impact publications reflect significant recognition in cancer research. Advising & Grants: His roles in major cancer centers imply extensive grant support and mentorship of researchers in cancer biology and metastasis. Labs & Teams: He leads a multidisciplinary team in the Markey Cancer Center and collaborates with institutions globally to advance metastasis research and therapeutic development.

Jasang Yoonمشاهده پروفایل

استاد

• Matrix Computations and Theory
• Multivariable Operator Theory
• C*-algebra
• +۳ مورد دیگر

Jasang Yoon is a Professor in the Department of Mathematics at the University of Texas Rio Grande Valley, affiliated with the College of Science and Mathematics. His research spans operator theory, matrix computations, and mathematical analysis. Research Interests: Matrix Computations and Theory, Multivariable Operator Theory, C*-algebra, Several Complex Variables, Classical Theory of Moments, Mathematics Education Recent work focuses on spectral properties of operator pencils, Aluthge transforms, and matrix completion problems related to graph theory. His publications emphasize invariant subspaces, hyponormality, and subnormality of weighted shifts. He teaches graduate-level analysis courses and maintains regular office hours. Contact: jasang.yoon@utrgv.edu

Tayler D. Sheahanمشاهده پروفایل

استادیار

• Neuroscience
• Pain Research
• Itch Mechanisms
• +۵ مورد دیگر

Dr. Tayler D. Sheahan is an Assistant Professor at the Medical College of Wisconsin in the Department of Cell Biology, Neurobiology, and Anatomy. Her research focuses on the neural mechanisms of pain and itch, combining molecular genetics, circuit mapping, and behavioral neuroscience. She holds a PhD from Washington University in St. Louis and completed postdoctoral training at the University of Pittsburgh’s Pittsburgh Center for Pain Research, supported by NINDS fellowships. Education: BS, Marquette University (2012) PhD, Washington University in St. Louis (2017) Postdoctoral Fellowship, University of Pittsburgh (2024) Research Interests: Dr. Sheahan’s lab investigates how pain and itch are encoded in the nervous system, with a focus on spinal cord circuits and translational relevance to human conditions like chronic pain and eczema. Techniques include two-photon Ca²⁺ imaging, molecular genetics, and human tissue analysis. Recent work identified spinal neuron populations encoding itch and revealed anti-itch drug mechanisms involving kappa opioid receptors. Awards: NINDS K99/R00 Pathway to Independence Award NINDS F32 Individual Predoctoral Fellowship NINDS T32 Institutional Training Grant Grants & Advising: Trains undergraduate, graduate, and postdoctoral researchers in somatosensory neurobiology. Collaborates on grants exploring spinal cord signaling and therapeutic targets for itch/pain relief. Labs: Leads the Sheahan Lab at MCW, emphasizing interdisciplinary approaches to neural coding and disease mechanisms. Maintains a lab website for ongoing projects and collaborations.

• Algebra
• Homological Algebra
• Representation Theory
• +۵ مورد دیگر

Petter Andreas Bergh is a Professor at the Department of Mathematical Sciences, Norwegian University of Science and Technology (NTNU). He holds a Cand.scient and PhD in mathematics from NTNU. His research focuses on algebraic structures, homological algebra, representation theory, and noncommutative geometry. He is a core member of the algebra group at NTNU and has contributed extensively to areas such as triangulated categories, support varieties, and quantum complete intersections. His academic work includes over 50 peer-reviewed publications in journals like Journal of Noncommutative Geometry , Arkiv för Matematik , and Advances in Mathematics . Recent research explores separable equivalences, matrix factorizations, and categorical structures in finite tensor categories. He has also authored doctoral and master’s theses and supervised academic reports, including contributions to the Fremtidens teknologistudier (FTS) project. Bergh teaches advanced courses such as MA8202—Commutative Algebra and MA3202—Galois Theory. His work emphasizes theoretical foundations and their applications in modern algebraic frameworks.

Norman Chiuمشاهده پروفایل

استاد

• Analytical Chemistry
• Biochemistry
• Nanoscience
• +۴ مورد دیگر

Norman Chiu is a Professor of Chemistry and Adjunct Professor of Nanoscience at the University of North Carolina at Greensboro (UNCG). He also serves as Associate Department Head of the Department of Chemistry. His research focuses on analytical methods for biomarker detection, RNA modifications, and nanotoxicity. Chiu holds a B.Sc. (Hon) in Chemistry from the University of Liverpool, an M.Sc. in Analytical Chemistry from the University of Bristol, and a Ph.D. in Biochemistry from the University of Windsor. He completed postdoctoral training at Boston University and Sequenom Inc. Research interests include epitranscriptomic analysis, ion mobility mass spectrometry for RNA modification differentiation, and carbon nanodots for biomedical applications. His work is funded by NIH collaborations with groups at Massachusetts General Hospital and NC State. The Chiu Research Group emphasizes method development for biomarker detection and has pioneered high-throughput toxicity screening using mass spectrometry. Over 50 students have been mentored, many progressing to academic and industry roles. Publications highlight advancements in carbon nanodot toxicity, RNA modification analysis, and probiotic cell studies. Collaborations span institutions like Harvard, CDC, and Wake Forest University. The lab is located in Sullivan Science Building, Greensboro.

Sven VAN TEEFFELENمشاهده پروفایل

دانشیار

• Bacteriology
• Cell Biology
• Microbial Physiology
• +۳ مورد دیگر

Sven van Teeffelen is an Associate Professor in the Department of Microbiology, Infectious Diseases, and Immunology at the University of Montreal’s Faculty of Medicine since 2021. He holds a PhD in Physics from the University of Düsseldorf and completed postdoctoral studies at Princeton University. His research focuses on bacterial cell shape, size, and envelope integrity through interdisciplinary approaches combining physics, engineering, and molecular biology. Education: PhD in Physics, University of Düsseldorf Postdoctoral studies at Princeton University Research Interests: Mechanisms governing bacterial cell morphology, coordination of cell envelope growth with biomass and chromosome replication, and the role of physical forces in bacterial physiology. Techniques include high-resolution microscopy, microfluidics, and mathematical modeling. Awards: EMBO Young Investigator Price (2019), FRQS Bourse Junior 2 (2021). Grants & Projects: Canada Excellence Research Chair in Eco-Evo-Patho of microbes (2023–2031) Bacterial cell shape and size (2024–2030) CRSNG Subventions Alliance (2025–2029) Lab Members: Yuki Kitahara (M.Sc.), Francois Simon (M.Sc.), Kunal Samantaray (Ph.D.).

• Recommender Systems
• Federated Learning
• Augmented Reality Applications
• +۵ مورد دیگر

Dr. Saikishore Kalloori Saikishore is a Lecturer in the Department of Computer Science at ETH Zurich, specializing in areas such as Recommender Systems, Federated Learning, and Augmented Reality Applications. His research focuses on developing privacy-aware collaborative systems, improving news and advertising recommendations, and enhancing user interaction through advanced AR interfaces. His work integrates machine learning techniques with real-world applications, addressing challenges like cold-start recommendations and cross-silo data collaboration. Recent contributions explore ethical AI in news curation, AR-driven tourism experiences, and federated learning frameworks for corporate environments. Notable projects include the EB-NeRD news recommendation dataset and cross-silo federated learning architectures. His research emphasizes balancing algorithmic accuracy with user-centric design principles, particularly in sequential task guidance systems and occlusion effects in AR interfaces. Professional activities include organizing RecSys Challenges (2022-2024) focused on practical recommendation problems like fashion purchase prediction and privacy-preserving ad systems. He maintains active collaborations with industry partners to bridge academic research and real-world deployment.

• Computational Complexity
• Communication Complexity
• Proof Complexity
• +۲ مورد دیگر

Morgan Shirley is a postdoctoral researcher in theoretical computer science at the University of Victoria, hosted by Professors Sajin Koroth and Bruce Kapron. Previously, he completed his PhD at the University of Toronto under the supervision of Toni Pitassi and a Masters degree at Oregon State University advised by Mike Rosulek. His educational background includes: PhD in Computer Science, University of Toronto Masters in Computer Science, Oregon State University Shirley's research focuses on computational complexity, with particular emphasis on communication complexity, proof complexity, and the interplay between theoretical computer science and additive combinatorics. His work often involves proving lower bounds and developing new techniques in matrix analysis and Boolean function theory, driven by fundamental questions about computational limits. His publications from 2018 to 2025 reveal a consistent trajectory in communication complexity, featuring breakthroughs in factorization norms, equality oracles, and multi-party protocols. A unifying thread is the application of combinatorial and algebraic methods—particularly matrix analysis—to establish tight lower bounds and structural insights across diverse computational models. No scientific awards were mentioned in the provided text. There is no information available regarding student advising or research grants, reflecting his current postdoctoral status focused on independent research rather than mentorship or funded projects.

BURHANETTİN BAYDAŞمشاهده پروفایل

استاد

• Physiology
• Endocrinology
• Nutrition Science
• +۳ مورد دیگر

Prof. BURHANETTİN BAYDAŞ is a Professor at Bingöl University's Faculty of Health Sciences, Department of Nutrition and Dietetics, since 2016. Previously, he served at Yüzüncü Yıl University from 1996 to 2008, holding roles such as Department Head of Physiology (2004–2009) and Dean of Veterinary Faculty (2009–2010). He has held various administrative positions, including Rector's Deputy at Bingöl University (2009–2012) and Erasmus Coordinator (2013–2016). Education: Completed his veterinary medicine degree at Fırat University (1991), followed by a PhD in Physiology (1995). He advanced through academic ranks from Assistant Professor (1996) to Professor (2004). Research focuses on thyroid hormones, lipid metabolism, antioxidants, and renal physiology. Over 60 publications in national/international journals, including studies on melatonin effects in hyperthyroidism, zinc/magnesium in diabetic rats, and pomegranate's role in renal failure. Active in academic administration, he coordinates interdisciplinary projects on electronic waste recycling and public health. Teaches physiology courses across Nutrition, Nursing, and Dentistry departments. Supervised research projects on extracellular matrix effects on axonal regeneration and zinc deficiency impacts in renal failure. Grants and projects include leading YÜBAB-funded studies on biological matrices and renal physiology. Fluent in intermediate-level English.