جست‌وجوی استاد و پژوهشگر

Steven J Jonesمشاهده پروفایل

استاد

• Bioinformatics
• Gene Expression
• Gene Regulation
• +۷ مورد دیگر

Dr. Steven J. Jones is a Professor in the Department of Medical Genetics at the University of British Columbia (UBC) and Associate Director/Head of Bioinformatics at the Genome Sciences Centre, BC Cancer Research Centre. He serves as Director of the CIHR/MSFHR Bioinformatics Training Program and the UBC Bioinformatics Graduate Program, with associate memberships at the Peter Wall Institute for Advanced Studies and Michael Smith Laboratories. Dr. Jones' research focuses on computational genomics and cancer bioinformatics , analyzing mutational landscapes and epigenetic targets in oncology. His work includes next-generation sequencing , structural variant detection , and long-read sequencing applications for resolving complex genomic architectures. He has extensive experience with transcriptome analysis , gene regulation , and comparative genomics across diverse organisms including C. elegans , conifers, and human pathogens. His 15 most recent publications highlight expertise in long-read sequencing for cancer genomics , imprinting disorders , and structural variation analysis. Key contributions include developing the Circos visualization tool for comparative genomics and pioneering bioinformatics approaches for epigenetic modifier discovery in oncology. Scientific Awards : Spencer Award for IT innovation (2005) 2007 Medical Genetics teaching award (UBC) 2011 Fellow of the Royal Society of Canada 2012 UBC Killam teaching prize 2014 Distinguished Achievement Award (UBC Faculty of Medicine) 2014 Fellow of the Canadian Academy of Health Sciences Clarivate Analytics Highly Cited Researcher (2016, 2018) Dr. Jones actively advises graduate students and serves as a data analysis center for the Canadian Epigenetics, Environment and Health Research Consortium (CEEHRC). He co-founded Ifowonco Bioinformatics Inc. and Alamya Health, PBC, and consults for Apotheca Systems Inc.

Mahsa Yarmohammadiمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Deep Learning
• Automatic Speech Recognition
• +۴ مورد دیگر

Mahsa Yarmohammadi is an Assistant Research Scientist at the Center for Language and Speech Processing (CLSP), where she leads research in cross-lingual language and speech applications. Her work focuses on deep learning techniques for multilingual data representation, automatic speech recognition (ASR), and speech translation. She develops novel algorithms for ASR decoders and explores interfaces between ASR and machine translation systems. Education: PhD in Computer Science and Engineering, Oregon Health & Science University (2016) Master’s in Computer (Software) Engineering, Shahid Beheshti University, Iran (2007) Undergraduate degree in Computer (Software) Engineering, Amirkabir University of Technology (Tehran Polytechnic) (2004) Research Interests: Her expertise spans Natural Language Processing (syntactic/semantic parsing, information extraction), multilingual systems, deep learning, and ASR. She specializes in resource transfer across languages, neural lattice embeddings, and end-to-end system integration for speech and language technologies. Publication Trends: Recent articles (2019–2025) emphasize multilingual challenges: cross-lingual retrieval, contextual ASR, coreference resolution in dialogue, and zero-shot information extraction. Her work frequently addresses low-resource settings, neural algorithm design, and real-world dataset creation (e.g., earnings call analysis, COVID-19 QA pairs). Grants & Teams: As a prime researcher in multi-site programs, she collaborates on large-scale multilingual projects. She was mentored by Benjamin Van Durme (Johns Hopkins CS) and Sanjeev Khudanpur (Johns Hopkins ECE) during her CLSP post-doctoral fellowship (2021).

• Artificial Intelligence
• Neuroscience
• Circuits and Systems Theory

Neslihan Serap Şengör is a Professor at the Department of Electronics and Communication Engineering, Istanbul Technical University . Her work bridges Artificial Intelligence , Neuroscience , and Circuits and Systems Theory . Research areas include: Neuromorphic computing with Intel Loihi Basal ganglia and motor control modeling Spiking neural networks for hardware Cognitive process simulation Projects focus on: Hardware implementation of motor learning Computational models for Parkinson's disease Cortex structure simulation on neuromorphic chips Contact: sengorn@itu.edu.tr

Hamed Ghavamniaمشاهده پروفایل

استادیار

• System/Software Security
• Attack Surface Reduction
• Memory Safe Languages
• +۲ مورد دیگر

Hamed Ghavamnia is a Security Researcher at Bloomberg, where he focuses on software and systems security. Previously, he served as an Assistant Professor at the School of Computing, University of Connecticut (2023–2024). He holds a PhD in Computer Science from Stony Brook University (under Michalis Polychronakis), an M.S. in Computer Engineering from Sharif University of Technology (Network Security focus), and a B.E. in Software Engineering from University of Isfahan. His research interests center on system/software security, particularly attack surface reduction through program analysis and memory-safe languages. Key projects include Confine (system call policy generation for containers), Temporal Specialization (system call filtering based on execution phases), and LeakLess (data protection in serverless platforms). He has contributed to seminal works on configuration-driven security (C2C), memory protection (xMP), and automated policy inference. His work bridges static/dynamic analysis, program specialization, and security hardening. Notable outcomes include reducing attack surfaces via system call filtering and debloating techniques, with applications in cloud and containerized environments.

Karin E. Ouchidaمشاهده پروفایل

استادیار

• Geriatric Medicine
• Internal Medicine
• Care Transitions Safety
• +۳ مورد دیگر

Karin E. Ouchida, M.D. is an Assistant Professor of Medicine at Weill Cornell Medical College since 2011. She specializes in Geriatric Medicine and serves as Co-Director of the Geriatrics Fellowship and Clinical Director of the Geriatrics House Call Program at Montefiore Medical Center. Her work emphasizes improving care transition safety through clinical practice, medical education, and translational research. Education : M.D. from University of California San Diego School of Medicine (2002), B.A. from Stanford University (1997) Clinical Expertise : Transition of Care, Home Care Visits Research Focus : Dr. Ouchida's scholarly work addresses systemic challenges in elderly care, including care handoff protocols, ageism mitigation, and home healthcare optimization. Her 2024 JAMA publication highlights falls prevention strategies for aging populations. Publications : Spanning 2009-2024, her research explores care transition innovations, EHR training methodologies, and geriatric education frameworks.

Jie Renمشاهده پروفایل

مدرس

• Software Engineering
• Software Security
• Component-Based Systems
• +۳ مورد دیگر

Jie Ren is an academic with a Ph.D. from the Department of Informatics at the University of California, Irvine (UCI), where he specialized in Software Engineering under the guidance of Richard N. Taylor. Prior to UCI, he was a lecturer at Fudan University’s Software Engineering Lab, teaching Advanced Software Engineering courses. Post-Ph.D., he joined Google in Santa Monica. His research focuses on secure software architecture, event-based systems, and component integration, with notable contributions to the Secure xADL language and the Swirl project for usable security visualization. He has also developed tools for ranking research institutions based on publications and explored bridging communication paradigms like procedure calls and message passing. Education: Ph.D. in Informatics, University of California, Irvine (1999–2006) Software Engineering Studies, Fudan University (pre-UCI) Research Interests: Secure software architecture, component-based development, event-driven systems, usable security, architecture description languages, and system integration. His work emphasizes practical methodologies for designing secure, scalable, and interoperable software systems. Professional Contributions: Authored/co-authored over 15 publications on topics like architectural security, visualization for usability, and tool development. Served as webmaster for ASE 2005 and contributed to open-source projects like the Visio Editor for C2/xADL. Labs/Teams: Affiliated with UCI’s Institute for Software Research and contributed to collaborative projects such as the Swirl security visualization initiative.

Muhammad Mahdi Nashatizadehمشاهده پروفایل

دانشیار بالینی

• Movement Disorders
• Parkinson's Disease
• Cognitive Disorders
• +۵ مورد دیگر

Muhammad Mahdi Nashatizadeh, M.D. serves as Clinical Associate Professor in the Department of Neurology at the University of Kansas School of Medicine, where he directs the Inpatient Movement Disorders program and leads the academic neurology consultation service. His clinical work integrates neurological care across emergency medicine, internal medicine, rehabilitation, and surgical services for hospitalized patients with complex neurological conditions. His educational journey includes a Biology BS with University Scholar honors from Emporia State University (1998), an MD from the University of Kansas School of Medicine (2003), internal medicine internship (2004), neurology residency (2007), and movement disorders fellowship at Baylor College of Medicine (2008). He maintains board certification in neurology through the American Board of Psychiatry and Neurology and holds medical licenses in Kansas and Missouri. Dr. Nashatizadeh's research centers on atypical parkinsonism mechanisms, movement-cognitive disorder interactions, and novel therapeutics for debilitating movement disorders. His publication record (2008-2020) reveals concentrated expertise in Parkinson's disease therapeutics, tremor pathophysiology, deep brain stimulation applications, and disability assessment metrics, with significant emphasis on translating clinical observations into practical interventions for complex neurological presentations. His scientific contributions have been recognized through: Top five finalist for the prestigious Rainbow Award (2018-2019) Neurology Attending Educator of the Year (Student Voice Award) for five consecutive years (2017-2021) As an educator, he trains geriatrics fellows, neurology/internal medicine/psychiatry residents, and medical students, emphasizing neurological manifestations of systemic diseases and multi-layered neurological diagnoses in acute care. His professional engagement includes active membership in the Movement Disorder Society (2006-present), American Academy of Neurology (2004-present), and Kansas City Clinical Neuroscience Society (2016-present), reflecting sustained commitment to advancing neurological care and education.

Morten Breinholt Søvsøمشاهده پروفایل

دانشیار بالینی

• Emergency Medicine
• Prehospital Care
• Health Services Research
• +۳ مورد دیگر

Morten Breinholt Søvsø is a Clinical Associate Professor at the Department of Clinical Medicine, Aalborg University, affiliated with Aalborg University Hospital. He holds positions in The Faculty of Medicine and is part of the Centre for Prehospital and Emergency Research and the Danish Center for Health Services Research. His research focuses on emergency medicine, prehospital care, triage systems, and health services research, with a strong emphasis on pediatric emergencies and outcomes analysis. Education: PhD graduate (2020). Research interests include optimizing emergency care pathways, analyzing vital sign monitoring in prehospital settings, and evaluating the impact of triage systems on patient mortality. He has published extensively on topics such as out-of-hours primary care reorganization, pediatric emergency outcomes, and the association between emergency call triage and reperfusion treatments in stroke patients. Recent work explores mortality trends in patients with non-specific diagnoses, the role of general practitioners in ambulance requests, and the impact of pre-existing comorbidities on pediatric emergency outcomes. His studies often use nationwide cohort analyses and register-based data to assess healthcare systems and patient outcomes. Lab/Teams: Active in the Centre for Prehospital and Emergency Research and Danish Center for Health Services Research, collaborating on projects related to emergency medical services and health policy.

Camilla Warnickeمشاهده پروفایل

دانشیار

• Social Equality
• Sign Language Interpretation
• Deaf Studies
• +۴ مورد دیگر

Roles & Affiliations: Camilla Warnicke is an Associate Professor affiliated with Social Work at Örebro University. She currently serves as a visiting researcher at Stockholm University's Institute of Interpreting and Translation, and works part-time as a research funding advisor at Region Örebro County's Grants Office (RÖL). She is also a researcher and teacher at the Sign Language Interpreter and Deaf-Blind Interpreter Education program in Örebro. She holds an authorized interpreter certification between Swedish and Swedish Sign Language (STS). Research Interests: Her work focuses on social equality, participation, and interaction dynamics between individuals and society. Key areas include interpretation between Swedish and Swedish Sign Language, deaf populations, and deafblindness. She employs Conversation Analysis (CA) to study remote interpreting practices in services like the Swedish Video Relay Service (VRS). Collaborations: Active in multidisciplinary projects such as 'Remote interpreting between spoken and signed languages' (Region Örebro), 'Social equality and road safety' (funded by Swedish Transport Administration), and 'Better communication in congenital deafblindness' (Forte-funded with Linköping University). She also collaborates with the National Knowledge Center for Deafblind Issues (Nkcdb). Teaching & Supervision: Supervises doctoral student Charlotte Ryman at Örebro University's Department of Health Sciences. Teaches at undergraduate, postgraduate, and doctoral levels, including courses on remote interpreting and medical research funding. Leads courses at Stockholm University's sign language interpreting program. Awards & Recognition: None explicitly mentioned in the text. Labs & Teams: Part of research groups 'Deafblindness in a Multidisciplinary Perspective' and 'Social Work and Care across the Life Course (SAOL)'. Involved in initiatives like the 'Sign Language and Deaf-Blind Interpreter Education' program at Fellingsbro Folk High School.

Jens Kirchnerمشاهده پروفایل

استاد

• Business Administration
• Marketing
• Customer Relationship Management
• +۳ مورد دیگر

Jens Kirchner is a Professor of Business Administration and (International) Marketing at the School of Business Administration at Hof University of Applied Sciences. He serves as Dean of the Business Department and Head of the Institute for Economic and Organizational Research (iwo). His academic career combines extensive industry experience in marketing, sales, and purchasing with academic leadership and consulting expertise. Teaching: Strategic and International Marketing, Marketing Controlling, Distribution Logistics, International Brand Management Research: Customer Management, Strategic Management Kirchner’s publications focus on customer value optimization, CRM, direct marketing, and regulatory frameworks in telecommunications. His work spans disciplines like Marketing, Business Administration, and Economics, with subfields including customer satisfaction, digital marketing, and competition policy. He also actively engages in management consulting and industry training programs.

• Cancer Biomarkers
• Tumor-Agnostic Research
• Precision Medicine
• +۶ مورد دیگر

Karin Jirström is a Professor at the Department of Therapeutic Pathology, Faculty of Medicine, Lund University. She leads the LUCC: Lund University Cancer Centre and serves as Vice Dean at the Faculty of Medicine. Her research focuses on tumor-agnostic cancer biomarker discovery and adaptive treatment strategies. Roles: Professor, Head of Division, Vice Dean, Principal Investigator, Supervisor Key Institutions: Lund University, Faculty of Medicine, Therapeutic Pathology, LUCC Research Interests: Jirström specializes in tumor-agnostic biomarkers, exploring tumor heterogeneity and clonal evolution to improve treatment for pancreatic, liver, biliary tract, and colorectal cancers. Her lab maintains extensive tissue microarray resources and conducts prospective clinical trials to optimize precision oncology. Recent Article Trends: Her 2024-2025 publications emphasize biomarker validation across multiple cancers, integrating epigenetics, machine learning, and tumor microenvironment dynamics. Key themes include adaptive therapy in colorectal cancer, chemoresistance in breast cancer, and liquid biopsy applications in PDAC. Supervision: She mentors students in projects like BILLIONSTARS (bile duct/liver cancer) and On-CALL (metastatic colorectal cancer), focusing on translational research and clinical collaborations. Labs & Collaborations: Jirström co-manages the Immunohistochemistry and Tissue Microarray Center Malmö, fostering interdisciplinary work with clinicians and researchers in cancer evolution and adaptive therapies.

Yüksel Yurtayمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Data Science
• +۸ مورد دیگر

Assoc. Prof. Dr. Yüksel Yurtay is an active faculty member at Sakarya University's Faculty of Computer and Information Sciences, Department of Data Science and Analytics. With a career spanning over three decades at the university since 1993, he has established himself as a prominent researcher and educator in the fields of data science, artificial intelligence, and business analytics. Education: Doctorate (2011-2020): Sakarya University, Institute of Business Administration/Production Management and Marketing, Thesis: "An empirical study on the impact of the dashboard on decision processes in the context of supply chain management" Master's (1996-1998): Sakarya University, Institute of Social Sciences/Production Management and Marketing, Thesis: "Activity based costing system and an application in electro-mechanical industry" Bachelor's (1987-1991): Anadolu University, Faculty of Arts and Sciences/Mathematics Dr. Yurtay's research focuses on the intersection of data science and business applications, with particular emphasis on dashboard systems, key performance indicators, and supply chain management. His work bridges theoretical computer science with practical business applications, developing innovative solutions for performance monitoring, decision support, and process optimization. His research portfolio demonstrates consistent productivity with publications spanning from 2018 through 2025, showing no signs of slowing down. Analysis of Dr. Yurtay's recent publications (2018-2025) reveals several key research trajectories: a strong focus on dashboard and KPI systems for business decision-making, growing interest in AI applications for emotion recognition (particularly in call center contexts), development of novel metaheuristic algorithms for optimization problems, and application of computer vision techniques for specialized detection tasks. His work consistently combines theoretical algorithm development with practical business applications. Dr. Yurtay has successfully secured research funding from prestigious sources including TÜBİTAK (project 1505) and industry partnerships with companies like Turkcell Global Bilgi. His current projects focus on real-time emotion recognition using deep learning and business process optimization. As an educator, Dr. Yurtay teaches core courses in numerical analysis, software engineering, computer engineering design, and data science. He has supervised graduate theses, including Akın YAŞAR's work on real estate photo quality evaluation using deep learning. His teaching portfolio reflects his expertise across both theoretical computer science and applied data analytics.

Pierre L'Écuyerمشاهده پروفایل

استاد

• Stochastic Systems
• Random Number Generation
• Quasi-Monte Carlo Methods
• +۶ مورد دیگر

Pierre L'Écuyer is a Full Professor in the Department of Computer Science and Operational Research at the Faculty of Arts and Sciences, University of Montreal. He holds a Canada Research Chair in Stochastic Simulation and Optimization and is a member of GERAD and CIRRELT research centers. His office is located at André-Aisenstadt building, room 3361, and he can be reached at 514 343-2143. Dr. L'Écuyer received his Baccalauréat in mathematics, Master's in operational research, and PhD in computer science with focus on operational research, all from the University of Montreal. His academic journey has led him to become one of the world's most influential researchers in stochastic simulation. His research focuses on stochastic systems modeling and simulation, with particular expertise in random number generation, quasi-Monte Carlo methods, simulation efficiency improvement, sensitivity analysis, and optimization. His work has practical applications in call centers, finance, communication systems, and revenue management. Analysis of his recent publications shows strong emphasis on randomized quasi-Monte Carlo methods, variance reduction techniques, and applications to complex optimization problems in service systems. Lifetime Professional Achievement Award from INFORMS (2020) Ranked among the most influential researchers worldwide by Mendeley/Elsevier (2019, 2020) ACM SIGSIM Distinguished Contribution Award (2016) Mercit Award from Canadian Operational Research Society (2014) Distinguished Service Award from INFORMS Simulation Society (2011) Urgel-Archambault Prize from ACFAS (2002) Dr. L'Écuyer has supervised numerous PhD and Master's students working on topics ranging from random number generation to call center optimization. His current research projects, funded by NSERC and other organizations, focus on fundamental tools for stochastic simulation, with applications extending through 2030. He leads the SIMUL research laboratory which has developed several important software tools including SSJ (Stochastic Simulation in Java), TestU01, and RNGStreams.

Rainer Kellerمشاهده پروفایل

استاد

• Operating Systems
• Distributed Systems
• Parallel Programming
• +۴ مورد دیگر

Prof. Dr.-Ing. Rainer Keller serves as Vice Dean of the School of Computer Science and Information Technology at Esslingen University of Applied Sciences. He concurrently holds Laboratory Management roles for both the Operating Systems Laboratory and Information Technology Laboratory, coordinates the Applied Computer Science (Master) program, and serves on the Environmental Committee for his school. His academic journey includes a Doctorate in Engineering (with distinction), Research Associate and Group Leader positions at HLRS, University of Stuttgart (leading the 9-member "Applications, Models and Tools" group), PostDoc tenure at Oak Ridge National Laboratory (ORNL), and prior appointments at Stuttgart University of Applied Sciences. Keller's research centers on operating systems, distributed systems, and HPC with specialized expertise in Linux-based parallel programming tools and file I/O optimization. His work bridges theoretical system models with practical performance tuning, particularly in high-performance computing environments where syscall tracing and storage optimization are critical. Recent publications reveal consistent focus on system-level performance analysis, evolving from foundational file I/O profiling (2020) to advanced syscall tracing mechanisms (2022) and forward-looking access optimization frameworks (2025). These works demonstrate applied research in Linux ecosystems with direct relevance to HPC infrastructure. As Program Coordinator for the Applied Computer Science (Master) program and laboratory manager for two key facilities, he oversees academic development and hands-on technical training. His consultation hours (Tuesdays 1-2 PM by appointment) support student engagement in systems research. He actively contributes to national HPC infrastructure as a Member of the State User Committee (LNA) bwHPC, influencing regional high-performance computing strategies while maintaining his laboratory management responsibilities at Esslingen.

• Health Sciences
• Health Service Administration
• Gastroenterology
• +۷ مورد دیگر

Professor Milada Hagen is affiliated with the Department of Nursing and Health Promotion at Oslo Metropolitan University (OsloMet), serving as Head of Studies. Her research focuses on health sciences, gastroenterology, endocrinology, musculoskeletal health, and digital health interventions. Key projects include studies on diabetes management, pain in adolescents, and telemedicine in emergency care. She leads the Musculoskeletal Health Research group and contributes to initiatives like 'Digital follow-up of patients with type 1 diabetes' and 'Pain, Youth and Over-the-Counter Analgesics.' Her work emphasizes evidence-based practices in healthcare delivery and patient outcomes. Research interests span chronic disease management (e.g., diabetes, gastrointestinal disorders), healthcare system optimization, and patient-centered interventions. Notable contributions include collaborative studies on bariatric surgery outcomes, post-ICU mental health, and gender differences in cardiovascular events. Her publications often address translational research bridging clinical practice and population health. Key Projects: Digital follow-up of patients with type 1 diabetes (DigiDiaS) Pain and OTC analgesic use in adolescents (SUS project) Video streaming in medical emergency calls Research Groups: Musculoskeletal Health Research Collaborations: Ongoing partnerships with Oslo University Hospital, the Norwegian Institute of Public Health, and international consortia (e.g., Back Complaints in the Elders). Her work integrates epidemiological methods, clinical trials, and qualitative analyses to address gaps in healthcare delivery. Recent studies highlight the impact of lifestyle factors on musculoskeletal disorders and the role of digital tools in enhancing patient adherence.