جست‌وجوی استاد و پژوهشگر

• Genomics
• Biomedical Informatics
• Cancer Research
• +۳ مورد دیگر

Srikar Chamala, PhD, is an Associate Professor of Clinical Pathology at the University of Southern California. His work focuses on integrating genomic data with clinical informatics to improve cancer diagnosis and treatment, particularly in pancreatic and endometrial cancers. He specializes in developing computational frameworks for genomic-EHR integration, using standards like FHIR and HL7, to enhance precision medicine applications. Education : PhD in Biomedical Informatics (not explicitly stated in text but inferred from title and research focus) Key research interests include genomic profiling of tumors from diverse populations, molecular mechanisms underlying pancreatic metaplasia, and optimizing clinical trial matching through computational models. He has pioneered open-access biomedical informatics training programs to address workforce skill gaps. His work bridges basic science and clinical practice, with a focus on translational oncology and health system efficiency. Recent projects include genomic data archiving for pancreatic diseases, EHR-interoperable tools for genomic variant sharing, and pharmacological interventions targeting precancerous pancreatic lesions. Chamala’s contributions also extend to improving diagnostic accuracy via AI-driven pathology and streamlining laboratory workflows through informatics-driven quality improvement. He actively participates in multi-institutional collaborations, such as the Network for Pancreatic Organ Donors with Diabetes (nPOD), and contributes to global health initiatives like digital pathology implementation in Cameroon. His research emphasizes disparities in cancer outcomes, particularly among Hispanic populations.

Camilla Görasمشاهده پروفایل

مدرس

• Health Sciences
• Patient Safety
• Healthcare Systems Implementation
• +۴ مورد دیگر

Camilla Göras is a Lecturer at the University of Gävle, focusing on clinical research in emergency care and systems safety perspectives. Her work emphasizes contextual factors affecting healthcare environments. Research Interests: Patient safety in complex systems Organizational resilience during crises Emergency care work processes Health systems implementation Education: Doctorate in Medicine from Örebro University (2019 thesis: "Open the door to complexity – safety climate and work processes in the operating room") Recent Research Projects: TAILR: International study on nursing-sensitive injuries and staffing in emergency care ResCOV: Exploring organizational resilience during the Covid-19 pandemic SAMSA: Structured methods for improving work environment and patient safety Publications Trends: Recent work focuses on pandemic adaptation strategies, AI integration challenges in healthcare, and structural factors affecting patient safety metrics across emergency and operating room environments.

Omar Badreldinمشاهده پروفایل

استاد آموزشی

• AI-Enabled Software Reengineering
• Machine Learning
• Software Quality Prediction
• +۳ مورد دیگر

Omar Badreldin is an Associate Teaching Professor and Associate Director of the Multidisciplinary Graduate Engineering Programs at Northeastern University’s College of Engineering in Toronto. He previously held faculty positions at the University of Texas and Northern Arizona University. Dr. Badreldin holds a PhD in Computer Science from the University of Ottawa (2012), an M.Sc. from the American University in Cairo (2007), and a dual B.Eng./B.A. in Computer Engineering and Economics (2001). His research focuses on AI-driven software reengineering, machine learning applications in software quality prediction, and data-intensive systems. He has published over 100 refereed works, funded by the U.S. National Science Foundation and industry collaborators. His applied research extends to healthcare informatics and smart cities domains. In teaching, he leads courses in Computer Systems Engineering and the Master of Information Systems programs. Recent collaborations include a Walmart Canada hackathon where Northeastern students developed AI-driven retail solutions.

Sagar Kamarthiمشاهده پروفایل

استاد

• AI in Manufacturing
• Machine Learning Applications
• Smart and Sustainable Manufacturing
• +۴ مورد دیگر

Dr. Sagar Kamarthi is a Professor of Mechanical and Industrial Engineering and Director of the Data Analytics Engineering Program at Northeastern University. He holds leadership roles including Associate Dean of Graduate Education and Founder of the MS in Advanced and Intelligent Manufacturing program. His research spans AI-driven manufacturing systems, personalized healthcare through machine learning, and engineering education innovations. Kamarthi has received over $11M in research funding and numerous awards including IISE Fellow, multiple teaching honors, and best paper recognitions. Education: PhD in Industrial Engineering, Pennsylvania State University (1994) MS in Industrial Engineering, Pennsylvania State University (1990) BS in Chemical Engineering, Sri Venkateswara University, India (1983) Research Interests: Focus on AI for smart manufacturing, pain assessment systems using computational methods, and educational technologies for personalized learning. Key areas include tele-augmented manufacturing (TEAM) and AI-assisted manufacturing (AIM) to enhance workforce efficiency and sustainability. Key Achievements: Developed curricula addressing Industry 4.0 data science skills gaps through NSF-funded programs Pioneered objective pain assessment systems via COMPASS project Secured 200+ peer-reviewed publications and 11M+ in research funding Awards: 2024 Faculty Research Team Award 2022 IISE Fellow Award 2021 DAIS Teaching Award 2020 Northeastern Excellence in Teaching Award Grants & Leadership: Directed NSF-funded projects totaling $2.6M+, led graduate programs in industrial engineering and systems engineering for over a decade. Current roles include oversight of advanced manufacturing and data analytics initiatives. Research Groups: Active in Northeastern’s Manufacturing Systems and Data Analytics Engineering teams, focusing on interdisciplinary projects at the nexus of AI and industrial applications.

• Pulmonary Medicine
• Critical Care Medicine
• Hospital Administration
• +۷ مورد دیگر

Jonathan Siner, MD, is an Associate Professor at Yale School of Medicine, specializing in Pulmonary, Critical Care & Sleep Medicine within the Department of Internal Medicine. He serves as Clinical Section Chief, Associate Chief Safety Officer for Yale New Haven Health, and Medical Director of the Tele-ICU. His work integrates hospital administration, critical care, and safety management. Education: MD from University of Pittsburgh School of Medicine (1998), BA from Swarthmore College (1992). Dr. Siner’s research focuses on translational and biomedical studies in critical care, including low-tidal volume ventilation for ARDS and swallowing dysfunction post-ventilation. His publications highlight applications of artificial intelligence in early warning scores, sepsis prediction, and clinical deterioration tools, reflecting trends in technology-driven patient safety initiatives. Yale Medicine Quality and Safety Award (2018) Senior Award in Medicine (American College of Physicians, 1998) Alpha Omega Alpha Honor Medical Society (1997) Sigma Xi Scientific Research Society (1992) He led initiatives to reduce central line-associated bloodstream infections by 50% at Yale New Haven Hospital and collaborates with multidisciplinary teams on ARDS, sepsis, and healthcare system improvements. His clinical leadership spans interstitial lung disease, tele-ICU operations, and integration of innovative tools across large health systems.

• Management Studies
• Economics
• Organizational Behavior
• +۴ مورد دیگر

Pauli Pakarinen is an Academy Research Fellow at the Department of Management Studies, Aalto University. His research focuses on organizational theory, regulatory policy, and the intersection of technology with work and society. He holds a Doctoral Thesis from Aalto University (2019) titled Essays on Economic Rationalities , exploring central banking and economic decision-making frameworks. His work bridges economics, management studies, and social sciences, addressing topics like AI limitations, data work practices, and the theoretical pluralism in professions. Key research interests include: Professions and organizational behavior Regulatory failures and institutional imprinting Artificial intelligence's societal impacts Data-driven work environments Notable projects include the ongoing Work, Technology, and Organizational New Constellations (2024–2028), a comparative field study examining work in data-intensive contexts. His articles have explored themes such as 'relational expertise' and the challenges of theoretical coherence in professional studies.

• Neurosurgical Anesthesiology
• Neurocritical Care
• Intraoperative Monitoring
• +۴ مورد دیگر

Dr. Andres Brenes Bastos is an Assistant Professor of Clinical Anesthesiology and Director for Quality and Safety at Yale School of Medicine's Division of Adult Multispecialty Operative Anesthesia. He completed his Anesthesiology residency at Universidad de Costa Rica (2014, Magna Cum Laude) and held leadership roles including Clinical Director of Anesthesia at Hospital de Upala, Costa Rica. He holds certifications from the Colegio de Medicos y Cirujanos de Costa Rica and completed Neurosurgical Anesthesiology and Neurocritical Care fellowships at Harvard Medical School/BIDMC. His research focuses on neurocritical care, intraoperative monitoring for complex surgeries, and optimizing anesthetic techniques for cerebrovascular patients. Key interests include cerebral vasospasm management, sepsis-induced brain dysfunction, and mitigating perioperative risks like acute kidney injury and stroke. Recent publications explore propofol-based anesthesia outcomes, adaptive ventilation strategies in ARDS, and robotic-assisted diagnostics for cerebral vasospasm. His work emphasizes translational research bridging clinical practice and advanced monitoring technologies. No specific awards are listed, though his leadership roles reflect professional recognition.

• Pediatric Neuro-Oncology
• Adolescent and Young Adult (AYA) Oncology
• Virtual Reality in Healthcare
• +۳ مورد دیگر

Asher Marks, MD, is an Associate Professor of Pediatrics (Hematology/Oncology) at Yale School of Medicine and Director of Pediatric Neuro-Oncology and the Adolescent and Young Adult (AYA) Cancer Program at Yale New Haven Children’s Hospital. His work focuses on improving outcomes for AYA patients with brain tumors and leveraging immersive technologies like virtual reality (VR) to enhance supportive care. He holds board certification in Pediatric Hematology-Oncology. Education & Training: MD, Temple University School of Medicine (2006) BS, Pennsylvania State University (2002) Residency and Fellowships at Children’s National Medical Center (2009–2013) Research Interests: Dr. Marks investigates disparities in cancer care, innovative digital tools for patient engagement, and molecular diagnostics in pediatric brain tumors. He leads clinical trials addressing unmet needs in AYA oncology, including studies on targeted therapies and proton therapy outcomes. Publications & Trials: His recent work includes studies on VR disinfection protocols, social determinant data integration in trials, and radiation necrosis in rare syndromes. He is Principal Investigator on trials evaluating novel therapies for gliomas and hematologic malignancies. Awards: Recognized in the 2024 ‘Top Doctors’ List by Yale Medicine. Clinical Contributions: Co-founded the Lauren Telesz/Smilow Teen Center to provide peer support for AYA cancer patients. Active in developing guidelines for XR applications in pediatric care and addressing infection control in NICUs.

• Cyber-physical/Embedded Systems
• Systems Biology
• Hybrid Systems
• +۴ مورد دیگر

Thao Dang is a Researcher and CNRS Research Director (DR1) at Verimag, part of Université Grenoble Alpes. Her work focuses on Cyber-physical/Embedded Systems, Hybrid Systems, Formal Verification, and Control Synthesis. She leads projects like CyPhAI (Formal design methods for AI-intensive Cyber-Physical Systems) and DAMON (Data-based Anesthesia Monitoring). Dang has advised numerous PhD students, including Ana-Maria Gomez Ruiz and Alexandre Donzé. She co-chairs conferences like RV'22 and serves as an Associate Editor for journals like Nonlinear Analysis: Hybrid Systems. Her research bridges theoretical foundations with practical applications in robotics, circuit validation, and systems biology. Education: PhD in 2000 from INPG, Diplôme d'Ingénieur from ENSIEG (Ecole Nationale Supérieure d'Ingénieurs Electriciens). Previous Employment: Postdoctoral research at the University of Pennsylvania (2001). Teaching: Courses on Feedback Control and Real-Time Systems (MOSIG, UGA since 2018) and embedded control systems using LEGO robotics. Key contributions include NLToolBox (reachability algorithms) and HTG (hybrid systems test generation). She coordinates projects funded by ANR, JST CREST, and industry partners like Bosch and Toyota.

• Sustainable Everyday Practices
• Energy Consumption
• Mobility Studies
• +۵ مورد دیگر

Toke Haunstrup Bach Christensen is a Senior Researcher at Aalborg University's Department of the Built Environment within the Faculty of Engineering and Science. He is affiliated with the Sustainable Cities and Everyday Practice Research Group and the Center for Design, Innovation and Sustainable Transitions. His research focuses on sociotechnical systems, sustainable everyday practices, energy consumption patterns, and mobility transitions. Key projects include the DECODIT initiative on citizen empowerment for twin transitions, the RESPOND study on pandemic impacts, and the GECKO project on responsible AI co-creation. His work addresses intersections between household practices and sustainable development goals, particularly in domains like energy demand management, sufficiency strategies, and urban mobility innovations. Notable contributions include analyses of post-pandemic spatialities, carsharing dynamics, and smart energy systems' societal integration. He actively participates in interdisciplinary collaborations, policy dialogues, and public outreach on climate resilience and urban sustainability. Research highlights include over 120 publications, 21 projects since 2008, and leadership roles in major EU-funded initiatives. His advising includes supervising 3 PhD candidates exploring themes like smart home adoption and sustainable mobility.

Richard Brownمشاهده پروفایل

پژوهشگر ارشد

• Health Psychology
• Public Health
• Behavioral Science
• +۳ مورد دیگر

Richard Brown is a Research Fellow at Northumbria University , focusing on the Double Dividend of Safety Project and managing the Urban Futures interdisciplinary theme. He investigates risk perception and health behaviors, collaborating with the Psychology and Communication Technology Lab. His research employs mixed methods to address public health challenges. Education: PhD in Psychology, Northumbria University MSc Psychology, Northumbria University BA in Philosophy, University of Warwick Legal Qualifications: LPC and PGDL (non-practising solicitor) Research Interests: Health behavior, risk perception, urban sustainability, AI literacy in education, and digital health technologies. His work bridges psychology, public policy, and technology. Key Contributions: Recent articles explore AI adoption in academia, eating disorder policy, pandemic-era remote healthcare, and the Uncontrollable Mortality Risk Hypothesis. His cybersecurity work emphasizes 'Intensive Cybersecurity Care' for vulnerable systems. Awards & Fellowships: Held fellowships at the Parliamentary Office of Science and Technology and the Alan Turing Institute. Active as a Psychology Today writer and advocate for open science practices. Advising & Grants: Supervises PhD students and contributes to interdisciplinary initiatives like Urban Futures. Research has been featured in news outlets and social media platforms. Labs & Teams: Leads research within the Psychology and Communication Technology Lab and collaborates with cross-disciplinary groups on urban sustainability and public health interventions.

Raffaele De Amicisمشاهده پروفایل

دانشیار

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +۷ مورد دیگر

Raffaele De Amicis is an Associate Professor at the School of Electrical Engineering and Computer Science , Oregon State University. With a PhD in Industrial Engineering from the University of Bologna (2001) and a professional engineering license (1997), he bridges technical expertise with immersive technology applications. His career spans roles at Fraunhofer Institute (1999-2002), founding directorship of GraphiTech in Trento, Italy, and consulting professorship at the University of Trento (2003-16). Degrees: Ph.D., Design and Methods of Industrial Engineering, University of Bologna M.S., Mechanical Engineering, University of Calabria Professional Engineer License, Italian Charter Research focuses on Virtual Reality , Augmented Reality , and Human-Computer Interaction , particularly for industrial training, geospatial visualization, and educational applications. His work on digital twins, immersive engineering instruction, and XR-based disassembly systems demonstrates interdisciplinary impact. Scientific contributions include over 120 publications, three books, and 15 edited texts. Key projects involve VR safety training for confined spaces, AI-augmented AR guidance, and forest digital twin frameworks. Articles span 2012-2025, emphasizing 3D visualization , multimodal interfaces , and smart manufacturing . Scientific Leadership: Vice-President, GraphicsMedia.net (2010-present) Project Coordinator for EC/NATO/industry grants (€20M total) Founder, GraphiTech Research Center His expertise in multinational research coordination and technology transfer has shaped collaborations across Europe, with applications in forestry, urban planning, and hazardous environment training.

• Artificial Intelligence
• Machine Learning
• Healthcare Technology
• +۷ مورد دیگر

Dr. Stephanie Baker is a researcher at James Cook University with expertise in Artificial Intelligence of Things (AIoT) and machine learning applications for healthcare, particularly in non-invasive patient monitoring and digital health implementation in rural settings. Her collaborative work spans biomedical engineering , neonatal care , and environmental data analysis . Key Collaborators : Wei Xiang, Ian Atkinson, Yogavijayan Kandasamy Research Focus : AI-driven vital sign analysis, wearable photoplethysmography, and mortality risk prediction in ICU settings Recent Trends : Expansion into digital health policy for rural and remote Australia, alongside environmental data gap filling with lightweight neural networks

• Artificial Intelligence
• Machine Learning
• Speech Emotion Recognition
• +۷ مورد دیگر

Rajib Rana is a Professor of Computer Science at the University of Southern Queensland, affiliated with the School of Mathematics, Physics and Computing. He holds a PhD from the University of New South Wales (UNSW), completed in 2011. His research focuses on AI-driven solutions for mental health, speech emotion recognition, and healthcare informatics, with a strong emphasis on machine learning, deep learning, and domain adaptation techniques. His work spans clinical applications, wearable sensor systems, and mobile health technologies. Dr. Rana has supervised numerous doctoral candidates, including studies on AI tools for youth mental health interventions, adversarial attack robustness in speech emotion systems, and data analytics for school mental health monitoring. His research outputs include over 50 peer-reviewed articles, with notable contributions in IEEE Transactions on Affective Computing, Computers in Biology and Medicine, and other leading journals. His technical expertise includes federated learning, compressive sensing-based encryption for IoT, and context-aware affect sensing via smartphones. He collaborates widely with clinical partners and industry, addressing challenges like mental health triage prioritization and ICU admission prediction during pandemics. His work bridges computational methods with real-world healthcare and educational applications.

• Geographic Information Systems (GIS)
• Remote Sensing
• Photogrammetry
• +۵ مورد دیگر

Prof. Dursun Zafer Şeker is a faculty member at Istanbul Technical University , where he holds the Department of Geomatics Engineering within the Faculty of Civil Engineering . His work spans Geographic Information Systems , Remote Sensing , and Photogrammetry , with a focus on integrating Deep Learning and UAV technologies for disaster management, environmental monitoring, and infrastructure analysis. Education: PhD in Geodesy and Photogrammetry Engineering (1989) and Master's in Photogrammetry Engineering (1985), both from Istanbul Technical University. Career: Progressed from Research Assistant (1986-1996) to Professor (2004-present), with administrative roles in academic governance. His research explores GIS applications in transportation accessibility, forest fire prevention, and earthquake response. He has pioneered the use of Deep Learning for medical imaging (e.g., multiple sclerosis lesion segmentation) and agricultural disease classification , while also advancing UAV-based monitoring for coastal and archaeological sites. Recent publications highlight a shift toward AI-driven remote sensing for disaster resilience, including super-resolution techniques for historical imagery and object detection in post-earthquake building collapse mapping. Trends emphasize multi-source data fusion (LiDAR, satellite), climate change adaptation , and urban sustainability . Scientific Awards: Dursun Zafer Şeker Prize, FIG Young Surveyors' Competition (2023) Best Poster/Best Short Presentation Awards at MESAEP (2017), Selçuk University (2016), and Çukurova University (2016) Recognition at International Conferences (2015-2025) for remote sensing and geospatial innovation. As an advisor, he has supervised over 20 PhD and Master’s students , spanning topics like gas pipeline leak detection , PM2.5 prediction , and solar plant site selection . His grants include projects funded by TÜBİTAK and Ministry of Development , such as ORBIS and Forest Fire Decision Support Systems . He also serves on editorial boards for International Journal of Environment and Geoinformatics and Map Magazine .