جست‌وجوی استاد و پژوهشگر

Arvind Parkheمشاهده پروفایل

استاد

• Global Supply Chains
• Strategic Alliances
• International Joint Ventures
• +۶ مورد دیگر

Arvind Parkhe is a Laura H. Carnell Professor of Strategy and International Business at Temple University’s Fox School of Business. He previously taught at Indiana University’s Kelley School of Business (1989–2003) and holds degrees from IIT Bombay (B.Tech.), Georgia State University (MBA), and Temple University (Ph.D.). His research focuses on strategic alliances, global supply chains, international joint ventures, and trust in cross-border partnerships. He has published in top journals like the Academy of Management Journal and Strategic Management Journal, earning awards such as the AIB Best Dissertation Award (1990) and JIBS Decade Award (2001). Teaching excellence spans all academic levels: recognized as outstanding faculty for Ph.D., MBA, and undergraduate programs. Service leadership includes Vice President of the Consortium for Undergraduate International Business Education (2014), Chair of Fox’s Strategic Management Department (2010–2020), and Managing Director of Fox MBA Programs (2005–2010). He received Temple’s Musser Outstanding Service Award (2012) and Faculty Service Excellence Award (2012). Key research contributions emphasize interorganizational networks, global competitive strategies, and trust mechanisms in alliances. His work bridges theory and practice, addressing challenges in global business operations and strategic collaboration.

Jan Alberمشاهده پروفایل

استاد

• Narrative Theory
• Cognitive Literary Studies
• Postcolonial Literature
• +۳ مورد دیگر

Jan Alber is a Professor of Modern English and American Literature at the Department of English and American Literature and Culture, Justus Liebig University Giessen . He previously held positions at RWTH Aachen, Aarhus University, TU Darmstadt, and the University of Freiburg. His work bridges narrative theory, cognitive studies, and postcolonial literature, with a focus on unnatural narratives and empirical approaches to literary analysis. Fields of Interest: Unnatural Narratology, Cognitive Literary Studies, Climate Fiction, Postcolonial Literature Key Themes: Storyworlds, Ideology, Empirical Methods, Narrative Beginnings Alber's recent publications explore narrative theory's intersections with cognition and ideology, including analyses of digital post-postmodernist novels and climate change narratives. His empirical studies examine how readers process experimental narratives, particularly unnatural narrators and metaleptic structures. He has received prestigious awards such as the Habilitation Prize from the German Association of Anglists (2013) and the FRIAS junior group competition (2008). His research is funded by the AHRC, DFG, and Alexander von Humboldt Foundation, notably supporting interdisciplinary work on post-truth political narratives and Ukrainian scholars. Alber co-founded the Aachen Center for Cognitive and Empirical Literary Studies and serves as President of the International Society for the Study of Narrative. He organizes international workshops on cognitive narratology and teaches courses spanning literary history, theory, and postmodern fiction.

Chua Tat Sengمشاهده پروفایل

استاد

• unstructured data analytics
• multimedia information retrieval
• recommendation systems
• +۶ مورد دیگر

Chua Tat Seng is a Professor at the School of Computing, National University of Singapore (NUS), holding the KITHCT Chair Professorship since 2009. He serves as co-Director of the NExT++ Center, a joint research center between NUS and Tsinghua University focused on Extreme Search. His academic career spans over three decades at NUS, where he has held various leadership positions including Acting Dean of the School of Computing (1998-2000) and Acting Head of the Department of Information Systems & Computer Science (1996-1998). Professor Chua's research spans unstructured data analytics , multimedia information retrieval , recommendation and conversation systems , and emerging applications in e-commerce and fintech . He established the Lab for Media Search (LMS) at the School of Computing and has been instrumental in advancing multimodal learning and search technologies. His work bridges theoretical foundations with practical applications, particularly in developing trustable AI systems for real-world deployment. His recent publications demonstrate a strong focus on large language models for recommendation systems , multimodal learning , and generative AI applications . The research trends show increasing emphasis on LLM-based recommendation, multimodal understanding, and addressing fundamental challenges in AI reliability, fairness, and efficiency. His work spans theoretical advancements in representation learning to practical applications in e-commerce, finance, and healthcare domains. ACM SIGMM Technical Achievement Award 2015 Multiple Best Paper Awards across ACM Multimedia, IEEE Transactions, and MMM conferences (2007-2020) Professor Chua has supervised 37 PhD students since 2004, establishing himself as a dedicated mentor in the academic community. His research has been supported by substantial grants including NExT++ ($12 million), Base Metals Price Forecasting ($200,000), and Multilingual Multimodal Knowledge Graph ($500,000). He maintains active collaborations with Tsinghua University, University of Southampton, and industry partners like Four Elements Capital and Singapore Press Holdings. As co-Director of the NExT++ Center, he leads a major research initiative focused on Web Intelligence and User Empowerment. His visiting professorships at Tsinghua University (2017-present) and Zhejiang University (2021-present) reflect his international impact in the field of multimedia and AI research.

Robert JOLIETمشاهده پروفایل

دانشیار

• Finance
• Portfolio Management
• SRI (Socially Responsible Investing)
• +۳ مورد دیگر

Robert JOLIET is an Associate Professor of Finance at IÉSEG School of Management in France. He holds a Ph.D. in Economics and Management from HEC-ULg Management School (Belgium) and has held various academic leadership roles, including Director of Academic Development and Academic Director of the PGE (MSc in Management). His research focuses on finance, portfolio management, SRI (Socially Responsible Investing), and corporate finance, with a particular emphasis on international expansion, capital structure, and sustainable investment strategies. Education: 2008: Ph.D. in Economics and Management, HEC-ULg Management School, Belgium 2004: Master of Advanced Studies (DEA), Management Sciences (Finance), University of Liège, Belgium 2002: Master of Science in Business Engineering (Finance), University of Liège, Belgium Research interests span SRI fund dynamics, corporate social responsibility valuation, international debt policies, and market liquidity. Notable contributions include analyzing the impact of SRI mutual funds on corporate governance and environmental practices, and exploring the stability of sovereign debt structures in the Eurozone. Awards include the 2005 FORTIS Award (Third Prize) and the 2003 E.G. de Barsy Doctoral Fellowship. He has published extensively in journals like Economics Letters and Journal of Banking & Finance . Academic leadership roles include directing programs and departments at IÉSEG, alongside coordinating the Finance Track and managing academic development initiatives. His teaching focuses on financial data analysis, active portfolio management, and investment strategies in capital markets. He is a member of the LEM (Laboratoire d'Économie Moderne) research group and contributes to interdisciplinary research in finance and economics.

Shoudong Huangمشاهده پروفایل

استاد

• Mobile robot navigation
• Simultaneous localization and mapping (SLAM)
• Underwater robotics
• +۴ مورد دیگر

Shoudong Huang is a Professor at the School of Mechanical and Mechatronic Engineering , University of Technology Sydney, and Deputy Director of the UTS Robotics Institute. His research focuses on mobile robot navigation , SLAM , nonlinear state estimation , and surgical robotics . He has published over 200 papers and is recognized as one of the 100 Most Influential Scholars in Robotics (Aminer, 2018). PhD in Automatic Control, Northeastern University (China) Postdoctoral Research Fellow, University of Hong Kong (1998-2000) Research Fellow, Australian National University (2001-2003) Full-time academic roles at UTS since 2004 His work addresses challenges in robot localization across extreme environments (underwater, underground mining, surgical settings) and develops globally optimal SLAM algorithms with guaranteed performance. He has secured over $4 million AUD in external funding, including ARC Discovery grants and industry partnerships. Recent publications emphasize cross-modal calibration (camera-LiDAR), interval analysis for bounded noise , and template-based deformable surface reconstruction . These span applications in autonomous driving, surgical navigation, and UAV guidance. Chancellor’s Medal for Research Excellence (2020) Supervisor of the Year (2023) Best Paper Award (2016 ICARCV) Huang serves as Associate Editor for IEEE Transactions on Robotics and International Journal of Robotics Research , and has held leadership roles in top robotics conferences like IROS and RSS. His collaborations span MIT, USC, Zhejiang University, and industry partners including PMSW Research Pty Ltd and Multiplex Constructions Pty Ltd.

Carolyn Emeryمشاهده پروفایل

استاد

• Injury Prevention
• Concussion Research
• Pediatric Rehabilitation
• +۳ مورد دیگر

Dr. Carolyn Emery is a Professor in the Faculty of Kinesiology at the University of Calgary, with joint appointments in Pediatrics and Community Health Sciences at the Cumming School of Medicine. She holds leadership roles as Chair of the Sport Injury Prevention Research Centre (an International Olympic Committee Research Centre) and the Alberta Children’s Hospital Research Institute. Her affiliations include the McCaig Institute for Bone and Joint Health, Hotchkiss Brain Institute, and O’Brien Institute for Public Health. Dr. Emery’s education includes a BScPT from Queen’s University (1988), MSc in Epidemiology from the University of Calgary (1999), and PhD in Epidemiology from the University of Alberta (2004). Her research focuses on injury prevention in youth sports, concussion, and pediatric rehabilitation, aiming to reduce long-term health consequences such as osteoarthritis and post-concussion syndrome. She leads major grants including CIHR’s “SHRed Injuries” and NFL-funded concussion surveillance programs. Her research interests emphasize practical interventions for injury prevention, including neuromuscular training and policy changes. Recent work explores concussion outcomes in adolescents, biomechanical injury mechanisms, and global sport safety initiatives. She has published extensively on topics like sport-related musculoskeletal injuries, concussion management, and the epidemiology of youth sports. Dr. Emery has received over 20 awards, including the Royal Society of Canada Fellowship, Killam Professorship, and CIHR Canada Research Chair. Her work bridges clinical practice, policy, and community engagement to enhance public health outcomes in sports and youth recreation. Her lab, the Sport Injury Prevention Research Centre, collaborates internationally to develop evidence-based strategies for injury prevention. Current projects include evaluating the impact of tackle laws in rugby, head acceleration in wrestling, and long-term consequences of pediatric concussions.

Huan Zhangمشاهده پروفایل

استادیار

• Trustworthy Machine Learning
• Formal Verification of Machine Learning
• AI Safety
• +۴ مورد دیگر

Huan Zhang serves as an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign (UIUC), with affiliate appointments in the Department of Computer Science and the Coordinated Science Laboratory. His research focuses on building trustworthy AI systems with formal verification techniques to provide provable guarantees for safety-critical applications, particularly in machine learning and neural networks. Dr. Zhang received his Ph.D. in Computer Science from UCLA in 2020, advised by Professor Cho-Jui Hsieh. His academic journey includes an M.S. in Computer Engineering from UC Davis (2014) and a Bachelor of Engineering from Zhejiang University (2012). Prior to joining UIUC, he completed a postdoctoral fellowship at Carnegie Mellon University (2021-2023) with Professor Zico Kolter. Huan Zhang's research program centers on formal verification of machine learning systems, with particular emphasis on neural network verification, AI safety, robustness, and reliability. He pioneered the linear bound propagation-based verification framework that enables formal verification for networks with millions of neurons. His work spans five major research categories: formal verification of machine learning, training trustworthy ML models, machine learning safety and adversarial attacks, reinforcement learning safety, and optimization for scalable machine learning. His CROWN framework (NeurIPS 2018) established a foundational approach for neural network verification through efficient linear bound propagation. His recent publications demonstrate a strategic expansion from foundational verification techniques toward increasingly complex systems including large language models, vision-language models, and robotic control systems. The research trajectory shows a clear progression from theoretical frameworks to practical implementations with real-world applications, particularly in safety-critical domains. His work increasingly bridges formal methods with practical AI deployment requirements. Winner of International Verification of Neural Networks Competition (VNN-COMP) as team leader (2021-2024) Schmidt Futures AI2050 Early Career Fellowship ($300,000 research grant) Adversarial Machine Learning (AdvML) Rising Star Award (2021) IBM PhD Fellowship (2018) Dr. Zhang leads the development of α,β-CROWN, a neural network verifier that has won VNN-COMP 2021-2023, and auto_LiRPA, a PyTorch-based library for perturbation analysis on general computational graphs. He has mentored numerous graduate students from CMU, UCLA, UIUC, and Columbia University. His research is supported by significant funding including the Schmidt Futures fellowship and industry collaborations. He teaches courses including ECE 120, ECE 484, ECE 584, and ECE 598 HZ on topics ranging from computing fundamentals to safe autonomy and machine learning. Dr. Zhang maintains active research collaborations across multiple institutions and is affiliated with UIUC's Coordinated Science Laboratory. His work has significant implications for safety-critical AI applications in autonomous systems, healthcare, and other mission-critical domains where reliability guarantees are essential. He regularly gives guest lectures at institutions including Yale, Stony Brook, and the University of Nebraska Lincoln on formal verification techniques.

Sumanta Acharyaمشاهده پروفایل

استاد

• Thermal and Fluid Sciences
• Computational Fluid Dynamics
• Turbulence Modeling
• +۵ مورد دیگر

Sumanta Acharya is a Professor in the Department of Mechanical Engineering at Illinois Tech's Armour College of Engineering. His career spans computational methods, experimental fluid mechanics, and combustion, with affiliations including ASME, AIAA, and ASTFE. Ph.D. in Mechanical Engineering, University of Minnesota (1982) M.S. in Mechanical Engineering, University of Minnesota (1980) B.S. in Mechanical Engineering, Indian Institute of Technology (1978) A leading expert in thermal and fluid sciences, Acharya focuses on gas turbine heat transfer, turbulence modeling, and advanced cooling systems. His work integrates Computational Fluid Dynamics (CFD) with experimental validation for applications in biofuels , hydrogen combustion , and phase change materials . Recent publications highlight innovations in Brayton cycle integration, impingement cooling, and aerothermal performance optimization. Awarded by ASME, AIAA, and LSU, his honors include the ASME Heat Transfer Memorial Award (2011) and ASME Fellow (1999). He has contributed to key committees, including the ASME Heat Transfer Division Executive Committee and the Department of Energy's University Turbine Systems Research program. Researcher to Know, Illinois Science & Technology Coalition (2022) ASME Dedicated Service Award (2019) AIAA Thermophysics Award (2015) Contact: sacharya1@illinoistech.edu | Phone: 312.567.3701

Victor Chestopalمشاهده پروفایل

استاد

• Piano Performance
• Musicology
• Classical Music
• +۲ مورد دیگر

Victor Chestopal serves as Professor of Piano and Chairman of the Keyboard Section at the Royal Conservatory of Brussels since 2020, with concurrent professorship at Italy's Accademia Perosi. A globally recognized performer, he has collaborated with orchestras including the Moscow Philharmonic and Helsinki Philharmonic, and performed at venues like Brussels' Palais des Beaux-Arts and Moscow Conservatoire. His educational background includes: Early training at Moscow's Gnessin Music School and Central Music School of the Tchaikovsky Conservatoire Master's degree from Sibelius Academy (2001) Doctor of Music from Sibelius Academy (2010) with thesis "Temporal correlation in the Goldberg Variations" Studies at Imola's Accademia Pianistica (1992-1997) and Weimar's Hochschule für Musik (1995-1997) Chestopal's research integrates performance practice with musicological analysis, focusing on structural interpretation of Baroque and Romantic repertoire. His scholarly work examines temporal relationships in canonical piano works, while his artistic output spans Early Music, Contemporary Theatre, and Jazz Education. As a multilingual poet publishing in Russian, Italian, and French, he bridges musical and literary arts through collections like "Anno" (2014) and "Poeticheskie dnevniki" (2018). His honors include: First Prize at the “Carlo Soliva” International Competition (1990) As an educator since 2007, Chestopal conducts annual masterclasses in Liège and serves on international competition juries. He actively mentors students across European conservatories while leading charity initiatives for organizations including "Save the Children" and "Mary's Meals", often performing benefit concerts for humanitarian causes.

Farzad Mashayekمشاهده پروفایل

استاد

• Turbulent Reacting Flow
• Plasma Flow
• Electrostatic Atomization
• +۹ مورد دیگر

Farzad Mashayek is a Professor and Department Head of Aerospace and Mechanical Engineering at the University of Arizona, College of Engineering. He is a member of the Graduate Faculty and leads the Computational Multiphase Transport Laboratory. His research integrates high-fidelity simulations, machine learning, and experimental validation across diverse domains in fluid dynamics and energy systems. Educational Background: PhD in Mechanical Engineering, State University of New York at Buffalo, Buffalo, NY MS in Mechanical Engineering, Sharif University of Technology, Tehran, Iran BS in Mechanical Engineering, Sharif University of Technology, Tehran, Iran His research interests include turbulent reacting flows, plasma dynamics, electrostatic atomization, solid-ion and lithium batteries, computational fluid dynamics, and machine learning applications in engineering. He employs high-order spectral element methods, phase-field modeling, and deep neural networks to study complex multiphysics phenomena such as drop impact, battery degradation, and turbulence modeling. The recent publications reflect a strong trend toward integrating machine learning with multiphysics simulations, particularly in battery safety (thermal runaway prediction), materials characterization (STEM image analysis), and fluid dynamics (modal analysis of turbulence). His work often involves collaboration with experimental groups to validate models, especially in dental aerosol suppression and electrohydrodynamics. Scientific Awards: Sustained Service Award, American Institute of Aeronautics and Astronautics (AIAA), Spring 2022 Best Presentation Award, The 20th International Conference on Computational Mathematics, Parallel and Distributed Computing, Summer I 2018 Dr. Mashayek has secured funding from NSF (GOALI program) for controlled coating via charged droplet deposition. He advises graduate students and postdoctoral researchers in computational mechanics and energy systems, fostering interdisciplinary research. He has contributed to engineering education, particularly during the pandemic, with active learning strategies in online instruction. He leads a dynamic research team focused on advancing simulation tools and applying them to real-world challenges in energy, manufacturing, and public health.

Emily C. Bartelsمشاهده پروفایل

استاد

• Early Modern Literature
• Shakespeare Studies
• Christopher Marlowe Studies
• +۳ مورد دیگر

Emily C. Bartels is a Professor of English at Rutgers University specializing in early modern literature and culture, with particular expertise in Shakespearean and non-Shakespearean drama. She has served as director, and is now dean, of the Middlebury Bread Loaf School of English since 2010, a summer Master's program designed for K-12 English teachers. Professor Bartels received her BA from Yale University and both her MA and PhD from Harvard University. Her academic background positioned her to become a leading scholar in Renaissance literature studies. Her research examines questions of race, cross-cultural relations, gender, genre, and performance in early modern English drama. Professor Bartels is renowned for her groundbreaking work on Shakespeare's Othello and Christopher Marlowe's plays, analyzing how these texts represent cultural and racial difference. She has significantly contributed to postcolonial approaches to early modern literature, revealing how English drama engaged with global encounters and representations of the 'other' during the Renaissance period. Her scholarship demonstrates how early modern writers both reflected and shaped contemporary attitudes toward difference, particularly regarding race, religion, and national identity. Professor Bartels' publications reveal a consistent scholarly trajectory examining racial and cultural representation in early modern England. Her work spans from detailed analyses of specific plays like Hamlet and Julius Caesar to broader studies of how England conceptualized Africa and non-Christian cultures during the Renaissance. A recurring theme throughout her career is the analysis of how early English drama both reflected and shaped contemporary attitudes toward difference, particularly regarding race, religion, and national identity. Roma Gill Prize for Best Work on Christopher Marlowe (1993-94) for Spectacles of Strangeness: Imperialism, Alienation, and Marlowe Board of Trustees Fellowship for Scholarly Excellence (1993) School of Arts and Sciences Award for Distinguished Contributors to Undergraduate Education (2008 & 1993) Warren I. Susman Award for Excellence in Teaching (2008) Solmsen Fellowship at the Institute of Research in the Humanities, University of Wisconsin (1995) Black Atlantic Project fellowship from the Rutgers Center for Historical Analysis Professor Bartels has demonstrated exceptional commitment to both research and teaching excellence. She has developed innovative courses exploring the intersections of literature, history, and cultural studies, including undergraduate seminars on Othello and Hamlet, and graduate courses on Shakespeare Page and Stage. Her administrative role as dean of the Middlebury Bread Loaf School of English demonstrates her commitment to education beyond traditional university settings. Her fellowships from prestigious institutions indicate successful grant acquisition throughout her distinguished career. Professor Bartels has been actively involved with the Shakespeare Association of America and has collaborated with international scholars like Emma Smith of the University of Oxford. Her work has positioned her at the forefront of conversations about early modern literature, race studies, and postcolonial approaches to Renaissance drama, influencing how scholars understand the intersections of literature, race, and cultural identity in the early modern period.

Tatyana Yordanovaمشاهده پروفایل

دانشیار

• Figure Skating
• Short Track Speed Skating
• Ice Dancing
• +۷ مورد دیگر

Assoc. Prof. Tatyana Yordanova is affiliated with the National Academy of Sports in Bulgaria, where she serves in the Faculty of Sports and Department of Technical and Ice Sports . She holds the academic rank of Associate Professor and has been leading the department since 2024. Education: Master's from State Central Institute of Physical Culture (1987); Doctorate in Sports Science (2019) Languages: English, Italian, Russian Her research focuses on technical elements in figure skating , speed-power abilities , balance stability , and judging systems . She has extensively studied jump mechanics and anthropometric factors in skaters. Her publications from 2018-2024 include studies on judging systems, jump techniques, and sports management. Key themes in her work involve training methodology, competition analytics, and biomechanics of skating. Since 2002, she has worked as an international figure skating judge, including at the Sochi 2014 Olympics . She chaired the Bulgarian Skating Federation (2011-2023) and participated in projects like Erasmus+ mobility (2022, 2024). Her pedagogical career includes roles as scientific assistant (1988), senior assistant (2006), and associate professor (2023).

Jackie Chit Kit Cheungمشاهده پروفایل

دانشیار

• Natural Language Processing
• Natural Language Generation
• Automatic Summarization
• +۱۲ مورد دیگر

Jackie Chit Kit Cheung is an Associate Professor in the School of Computer Science at McGill University, where he co-directs the Reasoning and Learning Lab. He holds the Canada CIFAR AI Chair and serves as an Associate Scientific Co-Director at the Mila Quebec AI Institute. He is also a consulting researcher at Microsoft Research Montreal. Academic Background: Ph.D. in Computer Science, University of Toronto (2010–2014) M.Sc. in Computer Science, University of Toronto (2008–2010) B.Sc. (Honours) in Computer Science, minors in Linguistics and German, University of British Columbia (2004–2008) Research Interests: Jackie Cheung's research lies at the intersection of natural language processing, machine learning, and cognitive science. He focuses on natural language generation , automatic summarization , commonsense and pragmatic reasoning , and the evaluation of NLP systems . His work aims to build language models that reflect real-world structure and reasoning, with applications in health, education, and language revitalization. He is particularly interested in how implicit meaning is processed in context, a core concern in linguistic pragmatics. Publication Trends: His recent publications (2024–2025) show a strong emphasis on evaluation methodologies (e.g., COSMIC, ECBD), hallucination and factuality in language models, coreference and reasoning , and long-context modeling . He frequently collaborates across institutions and integrates insights from linguistics and psychology into NLP system design and analysis. Scientific Awards: Best Paper Award, ACL 2018 Outstanding Paper Award, NAACL 2018 Student Research Workshop SAC Award, ACL 2024 (for COSMIC) Best Poster Award, CMDO AI-Health Symposium 2024 Advising and Grants: He advises a large and diverse group of graduate students, including PhD and Master’s candidates, often in co-supervision with other faculty. His group has received support from major AI and health research initiatives, including CIFAR and Mila. He has trained alumni who have gone on to faculty and industry research positions. He has served in leadership roles in top NLP conferences, including as Senior Area Chair, Workshop Chair, and Program Chair of Canadian AI 2018. Labs and Teams: He co-directs the Reasoning and Learning Lab at McGill and is deeply involved with Mila – Quebec AI Institute . He founded the NLP Reading Group at McGill, which brings together researchers from computer science, linguistics, and information studies to discuss theoretical and applied NLP topics.

Carol Ann Allredمشاهده پروفایل

دانشیار

• Vocal Performance
• Classical Music
• Opera
• +۶ مورد دیگر

Carol Ann Allred is an Associate Professor (Lecturer) at the University of Utah's School of Music, specializing in Voice. She holds a DMA and MA from Eastman School of Music, and a BM in Vocal Pedagogy from Brigham Young University. Her career spans performance and education, with roles at SUNY Fredonia, Seton Hill College, and Hampden-Sydney Chamber Music Festival. Doctor of Musical Arts (DMA), Vocal Performance - Eastman School of Music (1989) Master of Music (MA), Vocal Performance - Eastman School of Music Bachelor of Music (BM), Vocal Pedagogy - Brigham Young University Allred's research and creative works focus on vocal performance across diverse genres, including choral masterpieces like Verdi Requiem and Brahms Requiem, contemporary works such as Golijov's La Pasion Según San Marcos, and historical repertoires from Mozart and Handel. Her recent projects include international tours and cultural outreach initiatives. Her scholarly performances highlight trends in sacred choral music, operatic excerpts, and community engagement through LDS church services and interfaith concerts. She has contributed to recordings including Christmas CDs and collaborations with Salt Lake Vocal Artists. Scientific Awards : Multiple first prizes in prestigious competitions and a Faculty Recognition Award nomination Teaching : Offers private voice lessons and masterclasses; advises the Michie Undergraduate Vocal Quartet Community Leadership : Conducts multi-congregational choirs and organizes veteran-focused concerts Allred's professional activities include collaborations with orchestras such as the Pittsburgh Symphony and Utah Symphony, with a strong emphasis on vocal pedagogy, interfaith musical outreach, and family ensemble performances. She maintains active roles in judging competitions and mentoring students at both University of Utah and UVU as a substitute instructor.

• Data Science
• Machine Learning
• Blockchain
• +۴ مورد دیگر

Halil Ali is a Lecturer in Data Science (Education Focused) at the School of Computing Technologies, RMIT University. His research spans privacy-preserving machine learning, blockchain technologies, and cybersecurity. Key research areas include federated learning , quantum-enhanced AI , secure biometrics , edge unlearning , and privacy in healthcare data . His recent publications focus on resilient AI systems , blockchain applications , and ethical data handling in emerging technologies. His work demonstrates expertise in integrating machine learning with blockchain security across domains like IoT, smart grids, and metaverse healthcare. He contributes to practical frameworks for zero-trust architectures , lightweight consensus protocols , and quantum-classical hybrid models .