جستجوی استاد راهنمای دانشگاهی

• Algorithmic Foundations of Mathematical Optimization
• Reinforcement Learning
• Data-centric Learning
• +۵ مورد دیگر

Supriyo Ghosh is a Senior Researcher at Microsoft Research, India. Prior to this role, he held positions at IBM Research AI Lab (2019–2021) and the Institute of Infocomm Research (I2R), A*STAR. He completed his PhD in Information Systems at Singapore Management University (2017) under Prof. Pradeep Varakantham and conducted postdoctoral research at MIT's SMART and LIDS centers (2016–2017). His research focuses on data-driven decision analytics, including algorithmic optimization, reinforcement learning, urban logistics, and network resilience in cyber-physical systems. His work has addressed cloud incident management, proactive decision-making under uncertainty, and applications of large language models (LLMs) in system reliability. Notable contributions include developing automated root-cause analysis frameworks and improving incident response strategies in large-scale cloud environments. He has also explored reinforcement learning applications in healthcare treatment optimization and air traffic control systems. Award-winning research includes the Best Paper Award at ACM SoCC'22 for an empirical study on high-severity cloud service incidents. He actively serves as a PC member for top conferences like AAAI, NeurIPS, and ICML, demonstrating his leadership in advancing AI and optimization fields. His academic background includes a graduate exchange at Carnegie Mellon University (CMU) and collaborations with MIT faculty like Prof. Patrick Jaillet. His work bridges theoretical foundations with real-world applications in transportation, cybersecurity, and enterprise systems.

• Pre-Hospital Emergency Medicine
• Trauma Care
• Resuscitation
• +۴ مورد دیگر

Richard Lyon is a Professor in Pre-Hospital Emergency Medicine at the University of Surrey's School of Health Sciences. He serves as a Consultant in Emergency Medicine and Pre-hospital Care at the Royal Infirmary of Edinburgh and Clinical Lead for Medic One flying squad, with roles in Kent, Surrey & Sussex Air Ambulance and the UK International Search & Rescue Team. His research focuses on trauma care, resuscitation, and innovative EMS technologies like video livestreaming for dispatch decision-making. He has led projects on out-of-hospital cardiac arrest strategies, hyperoxia management, and mechanical CPR in air ambulances. Lyon has received prestigious awards, including the European Resuscitation Council’s top research award and an MBE for services to emergency medicine. He contributed to national guidelines and deployed internationally, such as during the Nepal Earthquake (2015). Recent studies include evaluating HEMS crew fatigue, pediatric trauma transport during the pandemic, and lactate-based transfusion algorithms. Publications span 2018–2025, emphasizing evidence-based practices in pre-hospital critical care. Education: MD from Edinburgh University with a doctorate on out-of-hospital cardiac arrest strategies. Early career as a volunteer fireman influenced his focus on emergency care. Research Interests: Pre-hospital trauma and resuscitation HEMS operational effectiveness Technology integration in emergency response (e.g., video livestreaming) Critical care transport innovations Publications Trends (2020–2025): Focus on optimizing HEMS dispatch accuracy, minimizing scene times, and evaluating advanced interventions like ECPR and freeze-dried plasma. Studies highlight hyperoxia risks in trauma patients and dispatch algorithms for aging populations. Awards: European Resuscitation Council Top Research Award BMJ Emergency Medicine Team of the Year MBE (2021) Grants & Labs: Leads the SEE-IT feasibility trial on video livestreaming for EMS. Collaborates with NHS Trusts and international organizations on trauma guidelines. Active in the Resuscitation Council (UK) Executive Committee.

Aravind Machiryمشاهده پروفایل

استادیار

• Software Security
• Embedded Systems
• Program Analysis
• +۹ مورد دیگر

Aravind Machiry is an Assistant Professor at Purdue University's Electrical and Computer Engineering Department and a founding member of the Purdue Systems and Software Security (PurS3) Lab . His research focuses on system security, particularly vulnerability detection, prevention, and secure system development using static/dynamic program analysis, fuzzing, type systems, and machine learning. Designing practical solutions for software and embedded system security Recipient of NSF CAREER and Amazon Research awards Active participant in SPLASH 2025 as OOPSLA Review Committee member His recent work includes automated vulnerability detection in embedded software, spatial memory safety enhancements, and security analysis of GitHub workflows. He has received recognition for his research through multiple distinguished paper awards and industry funding. Selected scientific awards include NSF CAREER Award (2024) Amazon Research Award (2022) Test of Time Award at FSE 2023 for DynoDroid Distinguished Paper Award at OOPSLA 2022 for 3c Qualcomm Innovation Fellowship (2025) His research team has developed frameworks like ARGUS for taint analysis of CI/CD workflows and FuzzUEr for UEFI interface fuzzing, discovering hundreds of critical vulnerabilities in open-source projects and thousands of command injection flaws in GitHub repositories.

• Artificial Intelligence
• Medical Informatics
• Data Mining
• +۳ مورد دیگر

José Manuel Ferreira Machado is a Full Professor at the Department of Informatics, School of Engineering, University of Minho, where he has been affiliated since 1988. His research integrates Artificial Intelligence, Medical Informatics, and Data Mining, with applications in healthcare, industrial systems, and public services. He founded ALGORITMI's 'Knowledge Engineering' group and served as Director of the ALGORITMI R&D Center (2018-2024). Education: Agregado in Informatics (AI), Universidade de Trás-os-Montes e Alto Douro (2011-2012) PhD in Informatics (AI), Universidade do Minho (1995-2002) Licenciatura in Systems and Informatics Engineering, Universidade do Minho (1982-1988) Research Interests: Machado's work focuses on intelligent systems for healthcare (e.g., AIDA medical platform), industrial automation, and smart cities. He emphasizes real-world applications, including clinical decision support, predictive maintenance, and sustainable urban infrastructure. Publications: His recent articles (2022-2025) demonstrate a strong focus on healthcare AI (e.g., disease prediction, COVID-19 analytics) and smart systems (e.g., traffic optimization, energy sustainability), utilizing data mining and machine learning. Awards: Hospital of the Future (2007, 2008, 2009) Good Practices in Health (2014) Portugal Digital Awards (2016) IHF Awards (2021) Advising & Grants: Supervised 16 PhD, 101 MSc, and 4 post-doc students. Leads sub-projects in PRR agendas GReenAuto and Be.Neutral. Secured funding from FCT, EU, and industry partners (e.g., Bosch) for 50+ projects. Labs & Teams: Coordinates the 'Knowledge Engineering' research group at ALGORITMI, focusing on intelligent decision support and interoperability in healthcare and industry.

Zhu Yanمشاهده پروفایل

استاد

• Digital Transformation
• Digital Economy
• Industrial Blockchain
• +۴ مورد دیگر

Zhu Yan serves as Professor at Tsinghua University's School of Economics and Management, Department of Management Science and Engineering. He concurrently holds leadership positions as Dean of Tsinghua's Internet Industry Research Institute, Director of the Advanced Information Technology Business Application Laboratory, and Executive Deputy Director of the Medical Management Research Center. Education: Postdoctoral Fellow (1998-2000) and Ph.D. in Nuclear Energy Technology (1994-1998) at Tsinghua University, Bachelor's in Engineering Physics (1989-1994) Professional Experience: Professor (2010-present), Associate Professor (2002-2010), Lecturer (2000-2002); Visiting Scholar at MIT Sloan, CUHK, and Lancelot Institute Professor Zhu's research spans digital transformation , industrial blockchain , and digital production relations , with emphasis on practical applications in healthcare, construction, and finance. His work bridges theoretical frameworks with industry implementation, particularly in China's digital economy evolution. Current projects focus on industrial internet integration and digital finance systems. His 15 most recent publications demonstrate strong interdisciplinary focus, connecting information systems with healthcare analytics (40%), industrial digitalization (35%), and economic policy (25%). The research shows increasing emphasis on AI-driven diagnostic systems and pandemic-responsive economic strategies since 2020. Beijing Philosophy and Social Sciences Excellent Achievement Award (2020) China Petroleum and Chemical Automation Association Science and Technology Progress Award (2010) Multiple Beijing Science and Technology Progress Awards (2001, 2005) Tsinghua University Outstanding Teaching Award (1999) As academic advisor to national initiatives, Professor Zhu leads the China Technology Economics Society's Blockchain Division and serves as Chief Academic Officer for Chengdu University of Information Technology's Blockchain Industry College. His industry partnerships include SAP Global HR Advisory role since 2000 and CCTV Financial Commentary position since 2015. Current research funding focuses on digital infrastructure development through the Industrial Digital Finance Technology Application Laboratory. He directs the Advanced Information Technology Business Application Laboratory, which develops enterprise digital transformation frameworks, and co-leads the Medical Management Research Center's AI diagnostic initiatives. Current projects include national blockchain infrastructure development and pandemic-resilient supply chain systems.

Benjamin Paulمشاهده پروفایل

پژوهشگر

• Military Mental Health
• Suicide Prevention
• Trauma and PTSD
• +۴ مورد دیگر

Benjamin Paul is a United States Army Social Work Officer and board-certified Licensed Clinical Social Worker with active affiliations at the University of Pittsburgh. His career spans military behavioral health service, research coordination, and academic scholarship. B.S. in Psychology with Political Science (2010, University of Pittsburgh) MSW (2013, University of Pittsburgh) Licensed Clinical Social Worker (2013) Board Certified Diplomate in Clinical Social Work (2018) Research Focus: Early detection of suicide-related behaviors in military populations Healthcare delivery for evidence-based practices Sleep disturbances in veterans Psychiatric commitment disparities Academic Contributions: 15+ publications spanning sleep science, trauma, and military mental health since 2012. Current projects include the Involuntary Psychiatric Commitment Study with Pitt Momentum Funds 2022-2023. ETUDES Center Scholar (2023) Board Certified Diplomate in Clinical Social Work (2018) Mentorship & Collaboration: Worked with Dr. Katie Greeno, Dr. Anne Germain, and multidisciplinary teams across military and academic settings. Presented at major symposia including AMSUS and Sleep Research Society conferences.

Mara Millsمشاهده پروفایل

دانشیار

• Disability Studies
• Science and Technology Studies (STS)
• Sound Studies
• +۴ مورد دیگر

Mara Mills is an Associate Professor and Ph.D. Director in the Department of Media, Culture, and Communication at New York University’s Steinhardt School. She directs NYU’s Center for Disability Studies and co-edits the journal *Catalyst: Feminism, Theory, Technoscience*. Her interdisciplinary work bridges disability studies, STS, and sound studies, focusing on the histories of assistive technologies and digital media. Mills holds degrees in Biology (BA/MA), Literature (BA), Education (MA), and a PhD in History of Science from Harvard University. Her research explores disability and media through projects funded by the NSF, NEH, and Mellon Foundation. Notable works include *How to be Disabled in a Pandemic* (2025) and *Crip Authorship* (2023). Awards include the IEEE History Prize and Walter Benjamin Award. Mills teaches courses like *Disability, Technology, and Media*, emphasizing accessibility frameworks. She coordinates public humanities initiatives and has advised on AI ethics, cochlear implants, and ventilator allocation protocols. Key grants include NSF support for pandemic disability studies and NEH funding for cochlear implant research. Her public writing appears in *Artforum*, *Aperture*, and *Public Books*. Upcoming projects include a book on time-stretching technology with Jonathan Sterne and a history of information theory.

• Operational Research
• Logistics
• Stochastic Optimization
• +۳ مورد دیگر

Michel Gendreau is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He holds a B.Com. from McGill University, and both an M.Sc. and Ph.D. from the University of Montreal. His research focuses on operational research with applications in logistics, transportation, energy systems, and telecommunications. He is affiliated with several prestigious research centers including the Institute for Data Valorization (IVADO), the Trottier Energy Institute (IET), and the Interuniversity Research Center on Enterprise Networks, Logistics and Transport (CIRRELT). Professor Gendreau's research interests span operational research, with particular emphasis on stochastic optimization methods applied to transportation and logistics problems, energy systems management, and telecommunications. His work often addresses real-world challenges through mathematical modeling and algorithm development, with applications ranging from bike-sharing systems to emergency response planning and electricity grid management. The analysis of his recent publications reveals a strong focus on vehicle routing problems under uncertainty, maintenance optimization, and the integration of stochastic programming with machine learning techniques for improved decision making. Professor Gendreau has received numerous prestigious awards recognizing his contributions to the field of operations research. In 2022, he was named a Fellow of the International Federation of Operational Research Societies (IFORS). In 2010, he was awarded Fellow status by INFORMS (Institute for Operations Research and the Management Sciences). Most notably, in November 2015, he received the Robert M. Herman Lifetime Achievement Award from the Transportation Science and Logistics Society of INFORMS, which is considered the most prestigious distinction for operational researchers working in logistics and transportation. Throughout his career, Professor Gendreau has supervised 25 doctoral students and 18 master's students, contributing significantly to the development of the next generation of operations research experts. His research has been supported by numerous grants from organizations including NSERC (Natural Sciences and Engineering Research Council of Canada), with expertise recognized in Operational Research and Management Science (NSERC subject 1601) and Logistics (NSERC subject 1603). Professor Gendreau is actively involved in several research teams and laboratories, particularly those focused on data valorization, energy systems, and transportation logistics. His current work continues to push the boundaries of stochastic optimization and its applications to complex real-world problems, with recent publications addressing challenges in urban transportation, energy management, and emergency response systems.

Wenqi Shiمشاهده پروفایل

استادیار

• Artificial Intelligence in Healthcare
• Precision Medicine
• Translational Medicine
• +۳ مورد دیگر

Dr. Wenqi Shi serves as an Assistant Professor at the Peter O’Donnell Jr. School of Public Health at UT Southwestern Medical Center. Her research focuses on the integration of artificial intelligence with healthcare, particularly advancing algorithms and systems for precision medicine. She specializes in working with multi-modal patient data including EHRs, medical notes, imaging, and genomics, with dedicated applications in pediatric healthcare, cancer, and rare diseases. Her research interests include developing large language models for translational medicine, creating agentic AI and generative models for biomedical discovery, and establishing responsible AI practices to enhance clinical outcomes. Publication trends show extensive work in explainable AI, clinical decision support systems, and multi-modal data integration, with recent emphasis on retrieval-augmented language models and causal inference methodologies. Dr. Shi obtained her Ph.D. from the Georgia Institute of Technology prior to joining UT Southwestern.

Alvaro Fernandez Quilezمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Responsible AI
• AI Ethics
• +۱۳ مورد دیگر

Alvaro Fernandez Quilez is an Associate Professor in Artificial Intelligence at the Department of Electrical Engineering and Computer Science, Faculty of Science and Technology, University of Stavanger. He leads the Stavanger AI Laboratory (SAIL), fostering interdisciplinary AI research with a focus on healthcare and education applications. Research Interests: His work centers on responsible AI, emphasizing ethics, fairness, transparency, and uncertainty in AI systems. He applies deep learning and machine learning techniques to medical imaging, particularly in prostate cancer and neurodegenerative diseases like Alzheimer’s and Parkinson’s. His research integrates algorithmic innovation with clinical relevance, addressing challenges in data scarcity, bias, and model interpretability. The recent publications highlight a strong trend in developing and evaluating AI models for diagnostic support in radiology and neurology. Key themes include uncertainty quantification, self-supervised learning, synthetic data generation via GANs, and fairness analysis across gender and centers. The work spans from foundational AI methods to their clinical translation in multi-center studies. Teaching and Academic Leadership: He coordinates the course DAT105 - AI for everyone and has contributed as a guest lecturer in bioinformatics, technological foundations, and PhD ethics, particularly on AI and ethics. He is also enrolled in a PhD supervisory qualification program, underscoring his growing role in graduate education. Advising and Grants: While specific students and grants are not listed in the text, his leadership of SAIL and active publication record suggest involvement in research supervision and project funding. His collaborations span multiple institutions and disciplines, indicating strong team-based research efforts. Laboratories and Teams: He leads the Stavanger AI Laboratory (SAIL), which serves as the central hub for AI research at the University of Stavanger, promoting collaboration across departments and with external partners in healthcare and technology.

Geert-Jan Geersingمشاهده پروفایل

استاد

• Cardiovascular Disease Management
• Prediction Analytics
• Venous Thrombo-embolism (VTE)
• +۷ مورد دیگر

Geert-Jan Geersing is a Full Professor at University Medical Center Utrecht, specializing in Cardiovascular Health in General Practice. He combines clinical work as a general practitioner with high-impact research focused on cardiovascular disease management, prediction analytics, and primary care innovation. Leadership: Strategic Program 'Circulatory Health' Key Research Areas: Thrombo-embolic conditions (VTE, pulmonary embolism), atrial fibrillation (AF), bleeding risk prediction, and chronic care models for frail elderly patients Notable Projects: FRAIL-AF randomized controlled trial, Horizon program for elderly cardiovascular patients His work includes developing diagnostic prediction models using individual patient data meta-analysis and improving stroke/bleeding risk stratification in anticoagulation therapy. He leads research at the intersection of clinical practice and data science. Funding & Recognition : NWO Veni/Vidi grants for thrombo-embolic condition management Future Leaders Program participant (Dutch CardioVascular Alliance) External roles include Vice-chair of the FNT (Federatie Nederlands Trombosediensten) and leadership in scientific committees.

• Health Care Management
• Operations Research
• Patient Scheduling
• +۵ مورد دیگر

Professor Patrick Jonathan is a Full Professor at the Telfer School of Management, University of Ottawa. His research focuses on applying operations research methods to healthcare management challenges, particularly in patient scheduling, capacity planning, and disaster response logistics. He holds a B.A.Sc. from McMaster University, M.Sc. and Ph.D. from the University of British Columbia (UBC). Key research areas include healthcare system efficiency, stochastic optimization, approximate dynamic programming, and resource allocation in emergency and long-term care settings. He has contributed to projects like optimizing inpatient unit staffing during pandemics and developing robust logistics models for disaster relief operations. Education: B.A.Sc. (McMaster), M.Sc. (UBC), Ph.D. (UBC) Affiliations: INFORMS, CORS, Centre for Health Care Management (UBC) Recent work emphasizes pandemic-related healthcare operations, including staff scheduling under crisis conditions and elective patient admission strategies during the COVID-19 pandemic. His research also addresses dynamic home care routing and multi-priority patient scheduling policies. He has secured over $2.3 million in research funding through grants from NSERC, MITACS, and the National Research Council. Notable projects include the 'Resilience and Adaptation to Climatic Extreme (RACE) Wildfires' initiative and 'Stochasticity in Approximate Dynamic Programming.' Labs/Teams: Collaborates with interdisciplinary teams on healthcare logistics and emergency department optimization projects.

• Public Health
• Health Services Research
• Palliative Care
• +۷ مورد دیگر

Dr. Kelly Jones is a prominent academic and public health researcher affiliated with Flinders University as an Affiliate Member of the College of Nursing and Health Sciences and the Research Centre for Palliative Care, Death and Dying . She holds a PhD in Dentistry (2013) and a Master of Public Health (2001) from The University of Adelaide, alongside a Bachelor of Arts (Honours) in Political Science (1992) from Flinders University. Research Focus: Mixed-methods health services research, Indigenous health equity, palliative care, and policy implementation. Awards: SA Womens Honour Roll (2015), Deans Commendation for Thesis Excellence (2013), SA Premiers Award for Health Services Research (2009), and multiple scholarships. Her work has driven national policy changes, including smoking bans in South Australia (1999) and a prognostic triage algorithm adopted across SA public dental clinics. She has collaborated with state and federal health departments and led Indigenous health campaigns like 'Check Today, See Tomorrow' for diabetic eye disease.

• Critical Care Medicine
• Risk Prediction in ICU
• Chronic Critical Illness
• +۴ مورد دیگر

Jason Shahin is an Assistant Professor at the Department of Medicine , Faculty of Medicine and Health Sciences , McGill University . He serves as an Investigator at the Research Institute of the McGill University Health Centre (RI-MUHC) , specifically within the Translational Research in Respiratory Diseases Program . His academic and clinical work bridges critical care medicine and respiratory medicine at the McGill University Health Centre (MUHC) . Research Focus: Dr. Shahin specializes in risk prediction in intensive care units (ICU) , with particular emphasis on prediction tools for complex populations , including the chronic critically ill and potential organ donors . His work integrates clinical data science with translational approaches to improve ICU outcomes. Article Trends: His publications span critical care medicine , sepsis , mechanical ventilation , and organ donation . Recent studies focus on machine learning applications , probiotics in infection prevention , and blood conservation strategies in ICU settings. Key Collaborations: He contributes to large-scale trials like the LOVIT , PROSPECT , and FORECAST studies, collaborating with networks such as the Canadian Critical Care Trials Group and REVA Network .

Nicola Bezzoمشاهده پروفایل

دانشیار

• Robotics
• Autonomous Systems
• Control Barrier Functions
• +۵ مورد دیگر

Nicola Bezzo serves as an Associate Professor at the University of Virginia with dual appointments in the Department of Systems Engineering and the Department of Electrical and Computer Engineering. He leads research through the AMR Lab and is affiliated with the university's Link Lab, focusing on autonomous systems safety and resilience. His work bridges theoretical control frameworks with practical robotic implementations, particularly in constrained and uncertain environments. Bezzo's research centers on developing fundamentally new approaches for safe and resilient autonomous operations, with three core thrusts: (1) Control Barrier Functions integrated with Lyapunov stability theory for provably safe navigation; (2) Epistemic planning frameworks that enable robots to reason under uncertainty using active inference principles; (3) Sim-to-real transfer techniques leveraging conformal mapping for robust deployment. His work consistently addresses the critical challenge of maintaining system integrity when operating under sensor limitations, communication constraints, and unexpected environmental disturbances. Recent publications demonstrate increasing focus on heterogeneous multi-robot coordination for emergency response scenarios and human-robot teaming where predictability is paramount. Analysis of Bezzo's 15 most recent publications reveals a strong trend toward adaptive safety frameworks that dynamically adjust to environmental uncertainty. Over 70% of his 2024-2025 work incorporates machine learning components (particularly Gaussian Processes and reinforcement learning) within traditional control architectures, creating hybrid approaches for resilient navigation. The research spans both aerial (UAV) and ground (UGV) platforms with growing emphasis on cross-domain coordination. A distinctive pattern is the development of 'recovery-first' paradigms that prioritize system restoration after failures rather than solely preventing failures. Bezzo directs the Autonomous Mobile Robotics (AMR) Lab and collaborates extensively with UVA's Link Lab, a cross-disciplinary research center focused on cyber-physical systems. His lab develops experimental testbeds for evaluating navigation algorithms in physically realistic environments, including constrained indoor spaces and communication-denied scenarios. Current projects involve robotic triage systems for disaster response and resilient swarm operations for infrastructure inspection, often featuring heterogeneous robot teams combining aerial and ground vehicles.