جست‌وجوی استاد و پژوهشگر

• Gastrointestinal cancers
• Liver metastasis
• Pancreatic cancer biomarkers
• +۱۲ مورد دیگر

Sajid A. Khan, MD is an Associate Professor of Surgery (Oncology) at Yale School of Medicine, Chief of Hepato-Pancreato-Biliary & Mixed Tumors, and Co-Director of Team Science at Yale Center for Clinical Investigation (YCCI). He serves as Co-Leader of the Advanced Hepatobiliary Disease Program at Yale Cancer Center. Dr. Khan is internationally recognized for superb clinical care and excellence in cancer research, with board certification in both Complex General Surgical Oncology and General Surgery. Yale School of Medicine - Associate Professor of Surgery (Oncology) Yale Cancer Center - Co-Leader, Advanced Hepatobiliary Disease Program Yale Center for Clinical Investigation (YCCI) - Co-Director of Team Science Hepatic Arterial Infusion (HAI) Program - Co-Director Southwest Oncology Group (SWOG) - Principal Investigator Dr. Khan earned his medical degree from SUNY Upstate Medical University in Syracuse, NY and completed his general surgery training at Oregon Health & Science University and Albert Einstein College of Medicine/Montefiore. He furthered his expertise with a research fellowship at Memorial Sloan-Kettering Cancer Center and a clinical and research fellowship at University of Chicago Medical Center. He is Board Certified in both Complex General Surgical Oncology and General Surgery. Dr. Khan's research program focuses on gastrointestinal cancers, utilizing modern molecular biology (metabolomics and transcriptomics) to improve understanding and treatment. His NIH-funded lab performs translational research exploring liver metastasis mechanisms, developing pancreatic cancer biomarkers, and identifying novel genomic cancer pathways. A distinctive aspect of his work examines how tumor metabolites and RNA expression relate to race/ethnicity and sex differences. His lab's research has resulted in over 100 publications in prestigious journals with more than 3,299 citations. Dr. Khan's clinical practice specializes in complex surgical oncology for tumors of the liver, pancreas, bile ducts, stomach, and colon, as well as melanoma and neuroendocrine tumors. He has performed over 1,800 oncologic surgeries at Yale Health System, incorporating a multidisciplinary team approach and minimally invasive techniques. His commitment to patient care extends beyond the operating room, emphasizing long-term relationships with patients and their families. Regional Top Doctor by Castle Connolly (2023, 2024, 2025) Membership Induction to Surgical Biology Club (2024) Medical Student Thesis Award (as Mentor) (2023) Consistently top percentile ranks for patient satisfaction Dr. Khan leads a federally funded research program with multiple NIH grants (R01s, R21s, KL2) and serves as Principal Investigator for a SWOG-sponsored national clinical trial on colorectal cancer chemoprevention. He chairs the Society of Surgery of the Alimentary Tract (SSAT) Research Committee and serves on editorial boards for Annals of Surgical Oncology, JAMA Oncology, and Indian Journal of Surgery. His leadership extends to multiple professional organizations including the Society of Surgical Oncology, American College of Surgeons, and American Society of Clinical Oncology. The Khan Lab conducts both wet and dry lab research, focusing on translational studies that bridge basic science discoveries with clinical applications. The lab's work on oligometastatic disease aims to identify which patients with limited metastases will benefit most from curative therapies. Located at 300 George Street, 6th Floor, the lab collaborates closely with other experts at the Yale Cancer Center to advance the field of gastrointestinal oncology.

Aly I. El-Oseryمشاهده پروفایل

استاد

• Structural Health Monitoring
• Sensor Networks
• Inertial Navigation Systems
• +۵ مورد دیگر

Dr. Aly I. El-Osery is a Professor and Chair of the Electrical Engineering Department at New Mexico Tech, where he also serves as Dean of Graduate Studies. With a complete educational background from the University of New Mexico (B.S., M.S., and Ph.D. in Electrical Engineering), Dr. El-Osery has established himself as a prominent researcher and educator in multiple engineering disciplines. His research spans several interconnected fields: Structural Health Monitoring of civil infrastructure and aerospace systems Inertial Navigation Systems and sensor fusion techniques Wireless communication systems and power control algorithms Fuzzy logic applications in engineering systems Image processing and enhancement Dr. El-Osery's publication record shows a consistent trajectory of high-impact research, with recent work focusing on advanced sensor networks for infrastructure monitoring, multi-IMU configurations for precise navigation, and innovative approaches to damage detection in critical structures. His work bridges theoretical developments with practical engineering applications. His professional service includes leadership roles as Senior IEEE member, General Co-chair for IEEE SoSE Conference 2015, and Program Co-Chair of the IEEE SMC (2011). He serves as a technical reviewer for multiple prestigious journals and has organized significant professional workshops. Dr. El-Osery maintains active laboratory work through the Intelligent Systems and Robotics Group, where students engage in cutting-edge research on autonomous systems, sensor networks, and navigation technologies. The lab environment emphasizes both theoretical understanding and practical implementation skills.

Cristyne Hébertمشاهده پروفایل

دانشیار

• Digital Literacy
• Non-traditional Assessment
• Teacher Education
• +۴ مورد دیگر

Dr. Cristyne Hébert is an Associate Professor in the Faculty of Education at the University of Regina, where she holds multiple leadership roles: Director of Professional Development & Field Experiences, Coordinator of Instructional Technology, and Subject Area Chair for Educational Technology & Media (EDTC). Her academic qualifications include a PhD in Language, Culture and Teaching from York University (2015), an MA in Philosophy from Queen’s University (2010), a BEd from the University of Ottawa (2008), and a BA (Honours) in Philosophy from York University (2008). Her research spans: Digital literacy learning and multimodal assessment K-12 assessment policies in Saskatchewan Maker pedagogies and educational technology integration Field experiences in teacher education Critical analysis of neoliberal impacts on assessment Her publications (2017-2024) demonstrate consistent focus on educational technology implementation, game-based learning frameworks, assessment reform, and teacher development. Recent work emphasizes pandemic adaptations and provincial policy analysis. She has secured significant research funding, including: SSHRC Insight Grant (2025) : Co-investigator on underrepresented teacher candidates' practicum experiences ($249,127) McDowell Foundation Grant (2025) : Principal investigator for mentor teaching community of practice ($19,995) Open Educational Resource Grant (2025) : Field Experiences website development ($25,000) SSHRC Insight Development Grant (2020) : Multimodal learning in multilingual classrooms ($64,630) Dr. Hébert teaches graduate and undergraduate courses focusing on educational research, digital citizenship, assessment theory, and technology integration, preparing educators for contemporary pedagogical challenges.

• Control Theory
• Estimation and filtering theory
• Complex dynamical distributed networks
• +۳ مورد دیگر

Daniel W. C. HO is a Chair Professor of Applied Mathematics and Associate Dean (Undergraduate Education) at the College of Science, City University of Hong Kong. He has been with City University of Hong Kong since 1989, having previously served as a Research Fellow at the University of Strathclyde, Glasgow, UK from 1985 to 1988. Prof. Ho received first class honours in BSc, MSc, and PhD degrees in mathematics from the University of Salford, Greater Manchester, UK in 1980, 1982, and 1986, respectively. His academic journey began with foundational work in control theory and has evolved into a distinguished career spanning over three decades. Prof. Ho's research interests span multiple domains in control theory and systems engineering. His primary focus areas include Control Theory , Estimation and filtering theory , Complex dynamical distributed networks , Multi-agent networks , Nonlinear singular systems , and Stochastic systems . His work bridges theoretical advances with practical applications, particularly in networked control systems, cybersecurity for cyber-physical systems, and distributed optimization. Prof. Ho has made significant contributions to the understanding of synchronization phenomena in complex networks, resilient control under cyber attacks, and quantized control systems with communication constraints. His research has evolved from classical control theory to address contemporary challenges in networked and distributed systems, reflecting the changing landscape of control engineering. Prof. Ho's publication record shows a strong emphasis on secure control systems under cyber attacks, distributed optimization with communication constraints, event-triggered control schemes, quantized control systems, and synchronization of complex networks. His work demonstrates a consistent progression from theoretical foundations to addressing practical implementation challenges in cyber-physical systems, with increasing focus on security aspects in recent years. Prof. Ho has received numerous prestigious awards and honors throughout his career. He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2017 and elevated to IEEE Life Fellow status in 2024. He was awarded the Chang Jiang Chair Professorship by the Ministry of Education, China in 2012. Prof. Ho has been recognized as a Highly Cited Researcher for eleven consecutive years from 2014 to 2024, and is among the Top 2% of most highly cited scientists globally from 2020 to 2024. He received the Best Paper Award from The 8th Asian Control Conference in 2011 and the Teaching Excellence Award from City University of Hong Kong in 2020 for his innovative teaching approaches. Prof. Ho has held significant editorial responsibilities, serving as Subject Editor of the Journal of Franklin Institute, Co-Editor in Chief of Franklin Open, Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, Asian Journal of Control, and Action Editor of Neural Networks. He has also served on the editorial boards of several other prestigious journals, contributing to the advancement of his field through scholarly communication. His leadership extends beyond research and teaching as Associate Dean (Undergraduate Education) of the College of Science at City University of Hong Kong, where he plays a key role in shaping the educational experience for science students.

• Robotics
• Artificial Intelligence
• Electronics
• +۶ مورد دیگر

Dr. Matt Felicetti is a dedicated Lecturer in Engineering at La Trobe University's Bendigo campus, specializing in robotics, electronics, and artificial intelligence. He holds a PhD in randomized artificial intelligence for industrial applications and a bachelor's degree in computer systems engineering with top honors. Matt plays a pivotal role in enhancing the engineering capstone program and teaches subjects including Robotic System Design, Advanced Research, and Advanced Engineering Innovation. His educational background includes: PhD in Randomized Artificial Intelligence for Industrial Applications, La Trobe University (2019-2022) Bachelor of Engineering (Computer Systems) with First Class Honors, La Trobe University (2013-2016) Advanced Diploma of Electronics, Swinburne University of Technology (2011-2012) Matt's research primarily focuses on collaborative industry partnerships through the RAMPS R&D group, implementing innovative engineering solutions using electronics, sensors, embedded systems, robotics, AI, and algorithm design. He has a particular interest in field robotics and machine vision in agriculture. Beyond industry applications, Matt specializes in randomized artificial intelligence algorithms, particularly Stochastic Configuration Networks, with a focus on optimizing these algorithms for industrial environments. His research extends to low-level computing aspects including binary operations, data encoding, and hardware implementation on FPGAs or small embedded devices. His recent publications demonstrate a strong progression from theoretical algorithm development to practical implementations in specific industry contexts, with increasing attention to hardware implementation and agricultural robotics applications. The research shows a clear trajectory toward real-world industrial problem solving. Matt has received numerous scientific awards and recognitions: David Myers Medal Nancy Millis Medal SEMS Teaching Award for Industry Relevance and Student Engagement David Myers Research Scholarship D.M. Myers University Medal Fellow of the Higher Education Academy (FHEA) In terms of academic service, Matt serves as an Associate Editor for the journal Industrial Artificial Intelligence and has conducted peer reviews for Neural Computing and Applications, IEEE Transactions on Industrial Informatics, and Information Sciences. He currently leads the funded research project "Robotic Based Sewer Pipe Condition Assessment" through SmartCrete CRC (2024-2027). His teaching portfolio includes coordinating Robotic System Design, Advanced Research, and Ideas for Innovation courses. Matt is an active member of the RAMPS R&D group, which focuses on crafting innovative solutions for industry-specific problems. His work bridges academic research with practical industry applications, particularly in agricultural robotics and industrial AI implementation, demonstrating strong collaboration with researchers like Ross R, Wang D, and Putland S.

• Development of abstraction and spatial reasoning abilities
• Gender disparity in STEM
• Inquiry-based learning
• +۵ مورد دیگر

Dr Milorad Cerovac serves as a Lecturer in Pedagogy and Education Futures within the School of Education at La Trobe University, Australia. With a background as a registered teacher across Mathematics, Physics, Software Development and Systems Engineering, he bridges industry experience with academic work to develop authentic problem-based learning approaches for pre-service and in-service teachers. His educational background includes: Doctor of Philosophy (Education), Swinburne University of Technology Master of Science (Astronomy), Swinburne University of Technology Graduate Diploma of Education (Secondary), Monash University Bachelor of Science (Honours), Monash University Registered Teacher certification (Victorian Institute of Teaching, 2004-present) Cerovac's research focuses on cognitive development in technology education, particularly examining how students' abstraction and spatial reasoning abilities progress with age within Technologies curricula. His work extends to gender disparity in STEM fields, inquiry-based learning methodologies, and the integration of artificial intelligence in classroom settings. He actively contributes to national curriculum development through his work with the Victorian Curriculum and Assessment Authority on Digital Technologies and Applied Computing frameworks. Analysis of his 15 most recent publications reveals strong emphasis on gender-inclusive technology education, spatial reasoning development, and practical implementation of computational thinking across K-12 settings. His work consistently connects cognitive theory with classroom application, particularly through robotics programs and problem-based learning frameworks. Cerovac directs significant professional development efforts, having presented numerous workshops for educators on Digital Technologies, Design and Technologies, and Physics both nationally and internationally. His research program includes the current Managing the double-edged sword project funded through the Award for Inclusion Research Program (2023-2024), which investigates generative AI frameworks for female inclusion in K-16 schools. As co-founder and lead mentor of the RoboCats (a school-girl-only robotics team participating in FIRST Robotics Competition from 2014-2020), he maintains active involvement with the FIRST LEGO League program in Victoria. His 17-year prior career as a Software Developer and Database Specialist informs his emphasis on real-world problem-based learning activities shared with teacher education students.

Karim Chamieمشاهده پروفایل

دانشیار

• Urologic Oncology
• Bladder Cancer Research
• Robotic Surgery
• +۲ مورد دیگر

Dr. Karim Chamie is an Associate Professor of Urology at the University of California, Los Angeles (UCLA) specializing in urologic oncology with a focus on bladder cancer. He practices at Westwood Urology in Los Angeles and has hospital affiliations with Ronald Reagan UCLA Medical Center and UCLA Santa Monica Medical Center. His clinical expertise includes minimally invasive urology, robotic surgery, and comprehensive care for bladder, prostate, and kidney cancers. Dr. Chamie's educational background includes: MD from Keck School of Medicine of the University of Southern California (2003) Surgical Internship at UC Davis Health (2004) Surgical Residency at UC Davis Health (2005) Urology Residency at UC Davis Health (2009) Urologic Oncology Fellowship at UCLA School of Medicine (2012) Board Certification in Urology from the American Board of Urology (2015) Dr. Chamie's primary research interests focus on health services research and clinical trials in bladder cancer . His work examines treatment patterns, healthcare disparities, and quality of care in urologic oncology. He has a particular interest in robotic surgery applications for bladder cancer treatment and novel therapeutic approaches for non-muscle invasive and advanced bladder cancer. His research bridges clinical practice with healthcare policy to improve patient outcomes and access to care. Dr. Chamie's publication record demonstrates a strong focus on bladder cancer research, with numerous articles on clinical management, systemic therapies, and surgical innovations. His recent work emphasizes immunotherapy approaches, novel drug delivery mechanisms, and quality of care metrics in bladder cancer treatment. The trend in his publications shows increasing emphasis on translational research that connects laboratory findings with clinical applications, particularly in the areas of robotic surgery and targeted therapies for urothelial carcinoma. Dr. Chamie has received numerous professional recognitions: Top Doctors, Los Angeles Magazine (2021) Dean's Scholar, University of Southern California Keck School of Medicine Baxter Academic Scholarship Gerber Academic Scholarship Northern California Urological Association Resident Research Award (1st Place) Gerald P. Murphy Award, American Urological Association Best reviewer in 2011 Award for the Journal of Urology As an active researcher and clinician, Dr. Chamie participates in multiple clinical trials for bladder cancer treatment, including studies of intravesical enfortumab vedotin for non-muscle invasive bladder cancer and combination therapies for advanced disease. His work as a principal investigator and co-investigator demonstrates his commitment to advancing the field through rigorous clinical research. While specific grant details aren't provided in the source material, his active participation in clinical trials suggests substantial research funding support. Dr. Chamie is affiliated with the Jonsson Comprehensive Cancer Center (JCCC) at UCLA, which provides a collaborative environment for cancer research and treatment. His work involves multidisciplinary teams including medical oncologists, radiation oncologists, pathologists, and basic science researchers to develop comprehensive approaches to urologic cancers. His clinical practice at Westwood Urology serves as both a treatment center and a site for clinical research translation.

Holly Gaffمشاهده پروفایل

استاد

• Mathematical Biology
• Tick-borne diseases
• Mathematical modeling of infectious diseases
• +۵ مورد دیگر

Holly Gaff is a Professor and Chair of the Department of Biological Sciences within the College of Sciences at Old Dominion University (ODU). Her interdisciplinary work bridges mathematics and biology, focusing on tick-borne diseases and mathematical modeling of infectious disease transmission. Dr. Gaff earned her Ph.D. in Mathematics from the University of Tennessee, Knoxville (1999) and her B.S. in Mathematics and Environmental Science from Taylor University (1993). Her primary research interests include mathematical biology, tick-borne diseases, mathematical modeling of infectious diseases, epidemiology, GIS, computational modeling, and ecology. She leads the ODU Tick Lab, which conducts extensive research on tick populations and associated pathogens in southeastern Virginia. Analysis of her most recent publications reveals a strong focus on tick ecology, mathematical modeling of disease transmission, vector-borne pathogen dynamics, and innovative control strategies for ticks and tick-borne diseases. Her work often employs interdisciplinary approaches combining field data with computational models. University Women's Caucus Achievement Award, Old Dominion University (2017) Shining Star Award for Helping students succeed academically, professionally, or personally (2016, 2015, 2011, 2010) Distinguished Teaching Award for Outstanding Tenure-Track Teacher, College of Sciences (2013) AWM Service Award, Association for Women in Mathematics (2013) Dr. Gaff has secured numerous research grants totaling over $3.5 million, primarily focused on tick-borne diseases, spatial epidemiology, and mathematical modeling of infectious diseases. She has developed innovative approaches including the TickBot, a robotic device for tick control in natural environments. Her research group actively collaborates with multiple institutions across the United States and internationally. She directs the ODU Tick Lab, which conducts extensive field and laboratory research on tick populations, pathogen surveillance, and ecological factors influencing disease transmission in southeastern Virginia.

• Artificial Intelligence
• Machine Learning
• Data Science
• +۵ مورد دیگر

Professor Kristina Schädler is a faculty member at the West Coast University of Applied Sciences (FH Westküste), where she serves as Professor of Data Processing within the School of Technology. She has been with the university since 2005 and also served as Dean of the Department of Technology. Her academic background includes a PhD in machine learning from TU Berlin, where she was awarded the Chorafas Research Prize for young scientists. West Coast University of Applied Sciences (since 2005) TU Berlin, Institute of Computer Science (1994-1999) Martin Luther University Halle/Wittenberg (1990-1994) Professor Schädler's research focuses on artificial intelligence and machine learning applications, particularly in image processing and data analysis. Her work spans multiple domains including industrial automation, agricultural technology, renewable energy, and animal husbandry. She has led numerous research projects that bridge academic theory with practical industrial applications, with particular emphasis on developing robust image processing systems that can be deployed in real-world settings. Her research portfolio demonstrates a consistent pattern of applying advanced machine learning techniques to solve practical problems across diverse industries. The ANIMET project, which developed facial recognition for horses, and the MaviSeg system for multichannel image segmentation represent her innovative approach to adapting computer vision technologies for specialized applications. Her work often involves close collaboration with industry partners to ensure practical relevance and implementation. Chorafas Research Prize for young scientists Innovationspreis at Equitana (2013) for the ANIMET project Professor Schädler has supervised numerous student theses that have resulted in practical applications across various domains. Her research group has secured funding from multiple sources including the European Commission, BMBF, and regional development agencies. She has established the CICAD project as a sustainable competence center for industrial image processing, which has trained multiple doctoral students through cooperative programs with the University of Lübeck. Her work demonstrates strong industry connections with companies like HIT Hinrichs Innovation + Technik, MBJ Solutions, and Fischer und Tausche Kondensatoren. Her research laboratory focuses on industrial image processing applications, with specialized equipment for 2D/3D imaging, spectral analysis, and machine learning implementation. The CICAD project established a dedicated competence center that continues to develop new applications of image processing technology across multiple industries.

Fabian Schönfeldمشاهده پروفایل

پژوهشگر ارشد

• Theoretical neuroscience
• Computational neuroscience
• Machine learning
• +۵ مورد دیگر

Dr. Fabian Schönfeld is a postdoctoral researcher at the Institute of Neural Computation (INI), which is part of the Faculty of Computer Science at Ruhr-Universität Bochum. He works in the Theory of Neural Systems group, focusing on computational modeling of the hippocampus using Slow Feature Analysis and other machine learning techniques. His educational background includes: Diploma in Computer Science from FAU Erlangen (2004-2009) PhD in Neuroscience from the International Graduate School of Neuroscience (2010-2016) Dr. Schönfeld's research primarily focuses on theoretical neuroscience, particularly on modeling the hippocampus and spatial cognition. His work combines computational approaches with neuroscience to understand how the brain processes spatial information. He has extensively used Slow Feature Analysis to model place cell behavior in the rat hippocampus, arguing for its feasibility as a fundamental principle of cognitive data processing. His research interests also extend to deep learning, artificial intelligence, and the intersection of these fields with neuroscience. His publications demonstrate a consistent focus on hippocampal function and spatial representation, with an increasing sophistication in modeling approaches over time. The research shows how computational models can help understand neural mechanisms of spatial representation, navigation, and memory formation, with applications in both neuroscience and artificial intelligence. Dr. Schönfeld has supervised several bachelor's theses on topics related to robot navigation using Slow Feature Analysis and has taught courses on Scientific Computing with Python. His academic service includes: Supervising bachelor's theses (2012-2013) Teaching Scientific Computing with Python (2015-2017) Tutoring high school students in mathematics and physics (2007-2010)

Yassine Ouhammouمشاهده پروفایل

دانشیار

• Real-Time Systems
• Embedded Systems
• Model-Based Design
• +۶ مورد دیگر

Yassine Ouhammou is an Associate Professor in computer science at École Nationale Supérieure de Mécanique et d'Aérotechnique (ENSMA), where he is a member of the "Real-Time and Embedded Systems" research team at LIAS laboratory. His work focuses on critical real-time embedded systems with applications in avionics, drones, and control command systems. His research interests include: Software architectures for critical real-time embedded systems Design and analysis of critical real-time systems regarding their temporal performances Model-based design using domain specific languages (MoSaRT, AADL, Capella, Time4Sys) Real-time scheduling and dimensioning Knowledge repositories for expertise capitalization, reuse and reproducibility Collaborative engineering for complex systems design Model-driven engineering and formal methods Dr. Ouhammou's publication record shows consistent contributions to real-time systems, embedded architectures, and model-based approaches. His recent work demonstrates increasing emphasis on drone technology and avionic applications, with numerous collaborations on autopilot design, scheduling optimization, and verification methodologies. His research bridges theoretical computer science with practical aerospace engineering challenges, addressing safety-critical aspects of embedded systems. Professional service includes: PC Member of MEDES 2020, INISTA 2020, WIMS, SADASC 2020 PC Chair of DETECT 2019 General Co-Chair of RTNS 2018 PC Member of multiple international conferences since 2017 Dr. Ouhammou collaborates extensively with researchers in the field of real-time systems, particularly with Emmanuel Grolleau and other members of the LIAS laboratory. His work often involves interdisciplinary teams addressing complex challenges in aerospace and embedded systems engineering, with practical applications in drone technology and avionic systems.