جست‌وجوی استاد و پژوهشگر

Hyunjae Parkمشاهده پروفایل

استاد پژوهشی

• Energy Conversion Systems
• Computational Fluid Dynamics (CFD)
• Thermal Analysis
• +۳ مورد دیگر

Hyunjae Park is a Research Professor in the Department of Mechanical Engineering at Marquette University College of Engineering . His work bridges energy conversion systems with educational innovation in engineering pedagogy. Ph.D., 1992, Mechanical Engineering, University of California at Los Angeles M.S., 1983, Mechanical Engineering, Yonsei University, Korea B.S., 1981, Mechanical Engineering, Han Yang University, Korea Dr. Park specializes in thermal analysis of energy systems , including computational fluid dynamics (CFD) modeling of coiled tube systems, heat exchangers, and printed circuit board cooling. His educational research focuses on integrating entrepreneurial mindset development in freshman engineering courses through problem-solving and design challenges. Recent publications highlight his dual expertise: Engineering Computing with MATLAB editions (2020, 2018, 2017) and Freshman Discovery Course papers spanning 2014-2020. These demonstrate his commitment to engineering education reform and technical software tools while maintaining research in thermal systems optimization .

Lina Oravecمشاهده پروفایل

استاد

• Music Education
• Elementary School Music
• Inclusive Music Education
• +۴ مورد دیگر

Professor Lina Oravec is a distinguished scholar in Music Education at the University of Koblenz-Landau, where she has served as Professor of Music Education since 2015. She currently holds leadership positions including Managing Director of the Center for Teacher Education (2023-2025) and leads multiple significant research projects such as KuMuS-ProNeD, DiEP-M, and All-in-Band. Her work bridges academic research with practical applications in elementary music education. Her research interests focus on elementary school music education, inclusive classroom music-making, music teaching by non-specialist teachers, the interface between elementary and school music education, and qualitative-empirical teaching research. She has pioneered approaches to digital music competencies and inclusive music education practices that have influenced teacher training programs across Germany. Analysis of her recent publications reveals a strong emphasis on inclusive music education, qualitative research methodologies, and the challenges of music instruction in elementary schools. Her work consistently addresses the practical implementation of music education theory while focusing on equity, accessibility, and teacher development in music education contexts. Senior Fellowship of the Stifterverband for Innovations in Higher Education (2019) Stifterverband Fellow for the All-in-Band project Professor Oravec actively mentors emerging scholars through her role as co-editor of the open-access journal "Contributions to Empirical Music Education" (b:em) since 2016 and as a member of the management teams for the working groups "Qualitative Research in Music Education" (QFM) and "Music Education Primary School." Her current projects include significant funding from the BMBF, Foundation for Innovation in Higher Education, and Bertelsmann Foundation. She leads the Center for Teacher Education at the University of Koblenz-Landau and coordinates collaborative research teams across multiple institutions focused on digital innovations in teacher education for arts subjects. Her All-in-Band project creates inclusive music ensembles that bring together music students and special needs students, demonstrating her commitment to practical applications of inclusive education principles.

Jordan R Waggeمشاهده پروفایل

استاد

• Psychology Education
• Research Replication
• Open Science
• +۱ مورد دیگر

Jordan R. Wagge, Ph.D., serves as Professor of Psychology and Cognitive Science at Avila University, where she teaches research methods and data analysis across undergraduate and graduate programs. She directs the ROSE Lab and is renowned for integrating students directly into publishable research through innovative mentoring approaches. Her academic foundation includes: Ph.D. in Psychology from Miami University (Ohio) M.A. in Psychology from Miami University (Ohio) B.S. in Psychology from Northern Kentucky University Dr. Wagge's research program critically addresses four interconnected domains: pedagogical innovations in psychology education, replication studies to combat the replication crisis, open science practices for research transparency, and decentering weight from health conceptions through weight stigma research. Her work systematically challenges methodological limitations in psychological science while promoting equitable health frameworks that move beyond weight-centric paradigms. Analysis of her recent publications (2018-2021) reveals a cohesive focus on educational reform through the Collaborative Replications and Education Project (CREP). This initiative produces high-impact replication studies while training undergraduates in open science practices, demonstrating how student-faculty collaboration can advance methodological rigor. Her scholarship bridges classroom instruction with frontier research, particularly in color psychology (red-romance effect) and computational literacy (R programming). Her exceptional contributions have earned significant recognition: Psi Chi Presidential Citation (2020) for advancing undergraduate research Avila University Medal of Honor (2020) for institutional impact Avila University Professor of the Year (2018-2019) As a dedicated mentor, Dr. Wagge transforms the ROSE Lab into a dynamic research incubator where students co-author publications and present at conferences. Her CREP leadership exemplifies grant-funded collaborative science, though specific funding sources aren't detailed. She is currently preparing a book chapter on research methods pedagogy for the Cambridge Handbook, signaling ongoing curriculum innovation. The ROSE Lab functions as an interdisciplinary nexus for methodological reform, combining replication initiatives with pedagogical experimentation. Current projects include registered replication reports and analyses of weight stigma in health metrics, positioning the lab at the intersection of scientific integrity and social justice in psychological research.

Joseph D. Shirkمشاهده پروفایل

استادیار

• Urologic Oncology
• Medical Imaging
• Robotic Surgery
• +۳ مورد دیگر

Joseph D. Shirk, MD serves as Chief of Urology at the Greater Los Angeles VA Health System and Assistant Professor of Urology at UCLA's David Geffen School of Medicine, specializing in complex urologic oncology procedures including robotic cystectomy, partial nephrectomy, retroperitoneal lymph node dissection, and tumor thrombectomy across Ronald Reagan UCLA Medical Center, UCLA Santa Monica, and West Valley campuses. Education: MD, Medical College of Wisconsin (2012) BA, University of Wisconsin-Madison (2007) Urology Residency, UCLA School of Medicine (2013-2018) Urologic Oncology Fellowship, UCLA School of Medicine (2018-2020) General Surgery Internship, Boston Medical Center (2012-2013) Research Focus: Dr. Shirk pioneers advanced imaging applications in urologic oncology, developing 3D virtual reality platforms for surgical planning in bladder, kidney, and prostate cancer. His work bridges engineering innovation with clinical outcomes, emphasizing how immersive visualization technologies enhance surgical precision and reduce complications in robotic procedures. Publication Analysis: His recent scholarly output reveals dual research trajectories: technological innovation in surgical imaging (particularly 3D/VR applications for nephrectomy) and patient-centered decision science in prostate/renal cancer. The 2019 JAMA Network Open trial established evidence for VR's impact on surgical outcomes, while earlier works explored decisional conflict metrics and resource management during public health crises. Scientific Recognition: Consecutive Super Doctors Southern California Rising Stars honors (2021-2025) Grants and Leadership: Awarded dedicated funding for virtual 3D tumor mapping in bladder cancer surgery (2021), Dr. Shirk directs research within UCLA's Jonsson Comprehensive Cancer Center while contributing to national discourse through American Urological Association presentations including AUA 2025 innovations showcase. Research Ecosystem: As Cancer Control and Survivorship program member at JCCC, he leads cross-disciplinary teams integrating biomedical engineering, surgical oncology, and health services research to transform imaging technologies into clinical practice through iterative platform development and outcomes validation.

Xiaoyuan Xieمشاهده پروفایل

استاد

• software testing
• fault localization
• AI for software engineering
• +۶ مورد دیگر

Xiaoyuan Xie is a Professor at the School of Computer Science, Wuhan University, where he leads a research group focused on software engineering, particularly in software testing, fault localization, and the intersection of AI and software engineering. His work bridges theoretical foundations with practical applications in software quality assurance and development processes. His research interests span software testing, fault localization, program slicing and analysis, debugging techniques, search-based software engineering, evolutionary computing, and machine learning applications in software engineering. He has pioneered work in metamorphic testing, particularly for AI systems, and developed innovative approaches for fault localization that consider exception trigger streams and parallel debugging contexts. Xie's publication trend shows a strong focus on applying AI techniques to software engineering problems, with recent work emphasizing metamorphic testing for AI systems, code search, debugging assistance, and fault localization enhanced by deep learning. His research bridges traditional software engineering with modern AI techniques, creating novel solutions for testing and debugging complex software systems. ICST 2025 Most Influential 10-years Journal First Paper Award Multiple ACM SIGSOFT Distinguished Paper Awards (2024, 2022, 2021) CCF Open Source Innovation Competition First Prize 2024 CCF NASAC Software Innovation Award for Young Researchers 2021 ACM SIGEVO HUMIES 2017 Silver Medal Luojia Young Scholar, Wuhan University 2016 Professor Xie has supervised numerous PhD and Master's students who have gone on to prestigious positions at companies like Alibaba, Tencent, and ByteDance, as well as academic institutions including Yale University and the Hong Kong University of Science and Technology. His research is supported by multiple national grants, including NSFC重点项目 (key projects), 国家重点研发计划 (key R&D programs), and the Research Fund for International Excellent Young Scientists from NSFC.

Frank K. Jonesمشاهده پروفایل

دانشیار بالینی

• General Surgery
• Trauma Surgery
• Surgical Critical Care
• +۲ مورد دیگر

Frank K. Jones, MD, MPH, FACS serves as a Clinical Associate Professor in the Department of Surgery at Morehouse School of Medicine, practicing at Grady Memorial Hospital in Atlanta. Board-certified in General Surgery and Wound Management with Surgical Critical Care eligibility, his clinical expertise spans trauma, critical care, and complex hernia management, directly impacting patient outcomes at this Level I trauma center. His educational foundation includes a Bachelor of Science from Morehouse College, Doctor of Medicine from Morehouse School of Medicine, and Master of Public Health from UNC Chapel Hill. Surgical training encompassed dual residencies at Morehouse School of Medicine and Howard University, culminating in a Trauma and Surgical Critical Care fellowship at the University of Maryland. Dr. Jones' research program centers on innovative surgical techniques and critical care interventions, with significant contributions to ventral hernia repair methodologies and nutritional support protocols for trauma patients. His work bridges complex case reporting with translational studies on mortality reduction, establishing him as a key contributor to surgical literature in high-acuity settings. His publication record from 2005-2017 reveals consistent innovation in surgical problem-solving, particularly in hernia pathologies and trauma nutrition. The progression from case reports on rare presentations to clinical studies on vitamin D/glutamine supplementation demonstrates growing influence in evidence-based critical care protocols, with emphasis on practical applications in resource-constrained urban trauma environments. His accolades reflect both clinical excellence and community impact: Georgia's Top Doctor designation (2020, 2021) Atlanta Medical Association Physician of the Year (2018) Morehouse School of Medicine Hall of Fame induction (2017) Employee Diversity Equity and Inclusion Award (2022) Outstanding Humanitarian Award from Hosea Feed the Hungry (2018) While specific graduate student advising details aren't documented, his academic rank and departmental role indicate active mentorship of surgical trainees. His research program appears integrated with Grady Hospital's trauma services, though dedicated laboratory infrastructure isn't referenced in available materials.

Anna Huangمشاهده پروفایل

استادیار

• Music Information Retrieval
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Anna Huang is an Assistant Professor at the Massachusetts Institute of Technology (MIT), affiliated with the PI Core/Dual program. Her research focuses on AI-driven music technologies, including human-AI collaboration, generative music models, and interactive creative tools. She specializes in developing frameworks for real-time music jamming, adaptive accompaniment systems, and novice-friendly AI co-creation platforms. Huang has contributed to projects like the Bach Doodle and the AI Song Contest , demonstrating scalable applications of machine learning in music composition. Her work bridges computer science and musicology, with a particular emphasis on cross-cultural music generation (e.g., Hindustani classical music modeling) and expressive control mechanisms for generative systems. Key areas include MIDI signal processing, source separation algorithms, and the design of user interfaces that empower both professionals and novices to co-create with AI. Huang’s publications emphasize interdisciplinary innovation, with trends spanning reinforcement learning for music performance, hierarchical generative modeling, and ethical considerations in AI-assisted creativity. Though no awards are explicitly listed, her impactful projects suggest recognition in computational music research. Her research also involves dataset development (e.g., MAESTRO dataset) and open-source tools like Coconet, fostering reproducibility and community engagement in music technology.

Alvaro Torralbaمشاهده پروفایل

دانشیار

• Symbolic Search
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Alvaro Torralba is an Associate Professor in the Department of Computer Science at Aalborg University, Denmark, affiliated with the Technical Faculty of IT and Design. His research focuses on symbolic search, heuristic functions, and planning algorithms within artificial intelligence and machine learning. Notable projects include the ConAn initiative exploring contrastive analysis for state-space exploration. He has contributed extensively to classical planning, probabilistic planning, and automated planning competitions, earning awards such as the First Prize in the Agile Track of the 10th International Planning Competition (IPC’23). His work often bridges theoretical advancements with practical applications, including game-based network update synthesis and believable non-player character development. Research outputs include over 60 publications since 2011, with a focus on optimizing search algorithms and enhancing planning efficiency through techniques like operator-potential heuristics and bidirectional search strategies. His scientific contributions span algorithmic innovation, verification methodologies, and large-scale abstraction evaluation. Collaborations and datasets include foundational work on PDDL generators and pattern databases, with open-access resources available via Zenodo. As a program committee member and award-winning researcher, Torralba actively contributes to advancing the frontiers of AI planning and decision-making systems.

Ole Marius Hoel Rindalمشاهده پروفایل

مدرس ارشد

• Medical Ultrasound Imaging
• Sensor Technology
• Signal Processing
• +۳ مورد دیگر

Ole Marius Hoel Rindal is a Senior Lecturer at the University of Oslo (UiO), affiliated with the Department of Informatics (IFI) and the Digital Signal Processing and Image Analysis research group. His research focuses on medical ultrasound imaging, sensor technology, and sports science applications. He holds a PhD in medical ultrasound beamforming from UiO and co-founded Sonair, a company developing 3D ultrasonic sensors for industrial use. Education: PhD in Medical Ultrasound Imaging, University of Oslo (2014) Research Interests: His work spans adaptive beamforming in medical ultrasound, real-time blood pressure monitoring, and biomechanical analysis of cross-country skiing techniques using microsensors and machine learning. Key contributions include advancements in software beamforming, coherence-based aberration correction, and the development of open-source ultrasound tools like the UltraSound Toolbox (USTB). Publications & Trends: Recent work emphasizes clinical validation of ultrasound technologies (e.g., fetal imaging, echocardiography) and algorithmic innovations in beamforming. Collaborations with SINTEF MiNaLab and industry partners highlight practical applications in robotics and athlete performance optimization. Awards: No specific honors listed. Advising & Grants: Guidance on projects involving wearable sensors for blood pressure monitoring and sensor-based athlete analysis. Active in open-source software development for medical imaging. Teams & Labs: Leads the Digital Signal Processing and Image Analysis group at UiO, collaborating with industry (Sonair) and academic partners on sensor innovation and imaging systems.

Eve Kleinمشاهده پروفایل

دانشیار

• Music Technology
• Classical Music
• Interactive Performance Art
• +۵ مورد دیگر

Dr. Eve Klein is an Associate Professor and Senior Lecturer in Music Technology and Popular Music at The University of Queensland (UQ) School of Music. She leads a research cluster in interactive composition, focusing on virtual/augmented reality works and guiding postgraduate composers. Her work bridges classical music traditions with digital innovation, addressing themes like gender in technology, identity, and participatory cultures. Dr. Klein holds a PhD in Music and Sound and has pioneered immersive art music experiences for festivals such as MONA FOMA and VIVID Sydney. Her artistic works include Vocal Womb (a laryngoscopy-based opera exploring voice and power) and City Symphony (an AR soundwalk overlaying Brisbane’s CBD). She is a recipient of the 2023 Art Music Award for Experimental Practice and the IASPM 2016 Open Publication Prize. Her research spans music technology curriculum design, future work skills in the arts, and epistemic fluency through transdisciplinary collaboration. She co-founded the Touch Ensemble, a technology-focused performance group collaborating with engineering students. Dr. Klein’s work frequently addresses social justice themes, including gendered violence and climate change. Education: PhD in Music and Sound Awards: 2023 Art Music Award, IASPM 2016 Prize, UQ Program Innovation Award Her articles critically examine virtual orchestras’ impact on classical norms, while her creative works challenge traditional performance boundaries. Klein collaborates internationally with festivals, scientists, and NGOs to create transformative cultural projects.

• Explainable AI
• Blockchain Technology
• Cryptographic Security
• +۳ مورد دیگر

Dr. Swati Sachan is a Lecturer in Artificial Intelligence in Finance at the University of Liverpool's Management School, specializing in explainable AI and blockchain integration for financial, legal, and insurance sectors. She holds an MSc in Financial Operational Research from the University of Edinburgh and a PhD in Operational Research and Applied Statistics from the University of Glasgow. Her research focuses on developing secure, transparent AI systems using blockchain for auditing, cryptographic security, and decision-making improvements in underserved communities. Key areas include XAI for loan underwriting automation, human-AI collaboration in financial decision noise reduction, and blockchain frameworks for legal compliance. Swati has contributed to industry projects like the UKRI-funded AI Smart Claim insurance toolkit with Kennedys Law and AXA Insurance. Her work emphasizes ethical AI deployment, federated learning for agricultural risk analysis, and optimal strategies for banking API innovations. Teaching modules: Introduction to Programming (Python), LawTech, Regulation and Ethics Professional roles: Advisor at OpenTrellis and Kennedys Law, conference reviewer for GECCO and AI conferences

Isabelle M.M.J. Reymenمشاهده پروفایل

استاد

• Innovation Ecosystems
• Technology Commercialization
• Entrepreneurship
• +۷ مورد دیگر

Isabelle M.M.J. Reymen is a Full Professor of Innovation Ecosystems and Scientific Director of TU/e Innovation Space at Eindhoven University of Technology (TU/e). Her work focuses on collaboration processes for technology commercialization within innovation ecosystems, combining entrepreneurial thinking with design processes. She holds a PhD in Design Sciences from TU/e and previously served as an Assistant Professor at the University of Twente (2002-2006). Education: Architecture and Engineering, KULeuven PhD in Design Sciences, TU/e (2001) Research Interests: Innovation ecosystems, entrepreneurship education, open innovation, design science methodology, Challenge-Based Learning, and sustainable development goals. She has published extensively in journals like Research Policy and Strategic Entrepreneurship Journal . Awards: ACEEU Triple E Award (2022) SO! WHAT Award (2021) Comenius Leadership Fellowship (2020) Grants/Advising: Lead projects like 'AI in Manufacturing for Sustainable Applications' and 'Scaling up Co-creation', with EU and industry funding. Supervised 109 academic works. Labs/Teams: Directs TU/e Innovation Space, fostering Challenge-Based Learning and student entrepreneurship through cross-sector collaboration.

• Optimization
• Operational Research
• Computational Mathematics
• +۳ مورد دیگر

Julian Hall is a Professor in the Department of Mathematics at the University of Edinburgh, specializing in optimization and operational research. He is a key developer of HiGHS, an open-source linear optimization software, and previously developed a solver used in global animal feed formulation and oil reservoir management. His research focuses on enhancing the simplex method for linear programming efficiency. Julian holds a PhD from the University of Dundee under Roger Fletcher after studying at Oxford and working at ICI/AstraZeneca. He has received four best paper awards, including COAP recognitions in 2005, 2013, 2015, and 2018. His work bridges academia and industry, with funding from Google and Huawei. Julian emphasizes applied mathematics’ real-world impact, particularly in agriculture and computational sustainability. Education: PhD in Numerical Analysis and Optimization (Dundee), MSc (Dundee), BA (Oxford), King’s School (Macclesfield). Research Interests: Linear programming algorithms, parallel computing, optimization in agriculture and environmental systems. His software HiGHS is deployed in multi-billion-dollar industries, solving problems like optimal animal feed blends and sustainable livestock production. Julian collaborates with industrial partners and mentors PhD students advancing optimization techniques. His recent work includes parallel simplex methods and GPU-accelerated algorithms, reflecting his commitment to scalable computational solutions.

• Surgical Oncology
• Liver Transplantation
• Pancreatic Surgery
• +۵ مورد دیگر

Khe T. C. Tran is a surgical researcher at Erasmus University Medical Center in Rotterdam, Netherlands, specializing in hepatobiliary and pancreatic surgery with a strong focus on robotic and minimally invasive techniques. As a Researcher in the Department of Surgery, Tran actively contributes to advancing surgical methodologies and outcomes through rigorous clinical research. Dr. Tran's research interests span multiple critical areas in modern surgical practice, with particular expertise in robotic pancreaticoduodenectomy, liver resection techniques, and innovative transplantation approaches. The research portfolio demonstrates deep engagement with learning curve analysis in complex surgical procedures, quality assessment in surgical anastomoses, and expanding donor organ pools through domino transplantation strategies for metabolic disorders. Analysis of recent publications reveals a clear trend toward large-scale, multicenter collaborative studies examining the comparative effectiveness of robotic versus traditional laparoscopic approaches in hepatobiliary surgery. The research emphasizes practical clinical outcomes, risk factor identification, and systematic evaluation of surgical learning curves to improve patient safety and procedural success rates. Dr. Tran actively participates in major surgical research initiatives including the Dutch Pancreatic Cancer Group and Dutch Hepato Biliary Audit (DHBA), contributing to national surgical quality improvement efforts. The research output demonstrates significant collaboration with leading surgical centers both within the Netherlands and internationally, reflecting integration into broader surgical research networks. Current work focuses on refining robotic surgical techniques, particularly in pancreaticoduodenectomy and liver resection procedures, with emphasis on identifying critical learning curve milestones and developing objective assessment tools for surgical performance. The research program addresses important gaps in understanding the optimal implementation pathways for advanced surgical technologies in complex hepatopancreatobiliary procedures.

• Large Language Models
• Multi-agent Systems
• Retrieval-Augmented Generation
• +۵ مورد دیگر

Muhammad Waseem serves as a Postdoctoral Researcher in Computing Sciences, specializing in the integration of artificial intelligence with software engineering practices. His work focuses on leveraging advanced AI techniques to transform traditional software development workflows through automation and intelligent systems. His core research domains include: Large Language Models for code generation Multi-agent system architectures Retrieval-Augmented Generation frameworks Software engineering automation AI-driven security analysis Quantum software development challenges Publication analysis reveals a concentrated research trajectory applying multi-agent LLM systems across the software lifecycle—from requirements engineering to quantum security—demonstrating consistent innovation in AI-augmented development methodologies between 2024-2026.