جست‌وجوی استاد و پژوهشگر

Maria Silvia Saraisمشاهده پروفایل

مدرس

• Latin Poetry
• Greek and Roman Drama
• Seneca
• +۵ مورد دیگر

Maria Silvia Sarais serves as a Lecturer within the Department of Classical and Oriental Studies at Hunter College, City University of New York (CUNY), where she contributes to both undergraduate and graduate programs in Classical Studies. Her academic profile centers on advanced instruction and research in ancient Mediterranean civilizations, with particular emphasis on literary analysis and cultural interpretation. Her research portfolio encompasses a sophisticated interdisciplinary range of classical scholarship: Latin Poetry, examining stylistic innovations and socio-political contexts in Roman verse Greek and Roman Drama, analyzing theatrical conventions and performance traditions Seneca studies, focusing on philosophical contributions and literary techniques Ancient Literary Criticism, investigating early theoretical frameworks for textual analysis Poetic Theory and Metapoetics, exploring self-referential elements in classical composition Classical Mythology and Contemporary Reception, tracing evolutionary adaptations of mythic narratives Gender and Ethnicity in Classical Literature, interrogating identity construction and representation in antiquity No scientific awards or honors were documented in the provided materials. While the available information does not specify doctoral or master's students under her supervision, nor detail external research funding sources, her role as Doctoral Lecturer indicates active engagement in advanced academic mentorship within Hunter College's graduate program structure. There is no reference to dedicated research laboratories, collaborative teams, or specialized research centers associated with her current academic position.

Kris Beattieمشاهده پروفایل

مدرس

• Exercise Physiology
• Strength Training
• Endurance Athletes
• +۳ مورد دیگر

Dr. Kris Beattie is a Lecturer in the Department of Sport and Health Science at Technological University Dublin (TU Dublin). He specializes in sports science education, coordinating modules such as Human Physiology 2, Sport & Exercise Physiology, and Applied Coaching Science. His research focuses on the physiological adaptations of strength, speed, and endurance training in athletes, particularly in endurance athletes and combat sports like boxing. Beattie holds a PhD from the University of Limerick (2012–2016), an MSc in Sports Physiology from Liverpool John Moores University (2008–2009), and a BSc (Hons) in Sport and Exercise Sciences from Ulster University (2005–2008). He is a UKSCA-accredited Strength & Conditioning coach. Beattie’s research interests include strength training modalities for sprint performance, physiological adaptations in Gaelic football and boxing, and the biomechanics of athletic movements. His work bridges theoretical and applied aspects of sports science, emphasizing practical applications in coaching and athlete development. Recent studies explore sprint testing methods in Gaelic games, strength characteristics of female athletes, and the role of maximal strength in punch impact force in boxing. His publications span peer-reviewed journals like the International Journal of Performance Analysis in Sport and Journal of Strength and Conditioning Research , with a focus on systematic reviews and empirical studies. Though no specific awards are listed, his h-index of 7 reflects growing recognition in sports physiology. Beattie actively collaborates with sports organizations and coaches to inform evidence-based training practices. He currently contributes to TU Dublin’s BSc (Hons) Sports Science with Exercise Physiology program, integrating his research into teaching. Future work likely continues exploring interdisciplinary approaches to athlete development and performance optimization.

Yiguang Juمشاهده پروفایل

استاد

• Energy Engineering
• Environmental Engineering
• Combustion Science
• +۴ مورد دیگر

Yiguang Ju is the Robert Porter Patterson Professor of Mechanical and Aerospace Engineering at Princeton University, affiliated with the HMEI Grand Challenges Program. His research focuses on plasma-assisted combustion, alternative fuels, and nano-material synthesis via flame processes. He investigates energy-efficient systems for microscale energy conversion, catalytic reactions, and low-temperature plasma chemistry. Research interests include non-equilibrium plasma dynamics, ammonia synthesis, and high-pressure oxidation kinetics. He develops advanced diagnostics like hybrid laser spectroscopy and machine learning models to study reaction mechanisms. Recent work explores plasma-enhanced combustion for hydrogen and alternative fuels, with applications in energy storage and emission reduction. His studies address challenges in plasma-chemistry interactions, material synthesis, and high-pressure combustion systems. His articles highlight innovations in plasma catalysis, combustion kinetics, and atmospheric chemistry. Collaborative projects include plasma-based material recycling and supercritical-pressure reactor analysis. He leads initiatives in clean energy technologies and sustainable chemical processes.

Max Lauمشاهده پروفایل

استادیار

• Infectious Disease Dynamics
• Machine Learning
• Artificial Intelligence

Max Lau is an Assistant Professor in the Department of Biostatistics and Bioinformatics and the Department of Epidemiology at Emory University. His research focuses on integrating machine learning and computational methods with epidemiological and genomic data to study infectious disease dynamics. He teaches courses such as BIOS 790R (Advanced Seminar in Biostatistics) and DATA 534 (Applied Machine Learning). Dr. Lau's work emphasizes scalable Bayesian inference, graph neural networks, and stochastic modeling to address challenges in disease transmission, outbreak control, and pathogen evolution. His recent research includes developing tools like ScITree and Epilearn, and he has contributed to understanding measles dynamics, tuberculosis treatment, and livestock disease management. His academic contributions span over 30 publications since 2010, with a particular focus on phylodynamics, epidemic modeling, and vaccine strategy evaluation. His interdisciplinary approach bridges computational methods with public health applications, aiming to enhance disease prediction and intervention efficacy.

Michael Smetsمشاهده پروفایل

استاد

• Professional Service Firms
• Strategic Management
• Institutional Theory
• +۹ مورد دیگر

Profile Roles and Affiliations: Michael Smets is a Professor of Management at the Saïd Business School, University of Oxford. He is also a Research Fellow at Green Templeton College and a member of the Centre for Professional Service Firms. His academic contributions span institutional theory, practice theory, and strategic management. Education: Bachelor’s equivalent in Business and Economics, Cologne University, Germany MSc in Management Research, Saïd Business School DPhil in Management, Saïd Business School Postdoctoral Researcher at Saïd Business School and University of Alberta’s School of Management Research Interests: Michael’s work examines professional service firms (PSFs) through three core lenses: Global Operations: Internationalisation challenges in law, consulting, and reinsurance firms, with a focus on institutional complexity and regulatory systems. Innovation & Career Systems: How evolving career structures in PSFs can simultaneously drive innovation and address work-life balance demands. Recent studies highlight ambidextrous career paths and their strategic leverage. Methodological Innovation: Pioneering video- and team-ethnography to capture micro-level organisational practices. His ‘fly on the wall’ study at Lloyd’s of London is a landmark in this domain. Academic & Industry Impact: His research has been translated into industry-relevant outputs, including reports for the reinsurance sector and handbooks for legal firms. The 2013 ESRC Award for Outstanding Impact in Business recognises this translational work. Academically, he has received the 2012 Academy of Management Journal Best Article Award and multiple best paper awards. Teaching & Executive Education: Michael teaches strategic management, innovation, and business development in executive programmes for Commerzbank, Deloitte, and other global firms. He is Programme Director for the Oxford Leading Professional Service Firms Programme, emphasizing interactive, case-study driven pedagogy. His teaching philosophy prioritises critical thinking over rigid models, as he states: ‘It is critical to understand under which circumstances which models work, and which ones don’t.’ Labs & Collaborations: Affiliated with the Centre for Professional Service Firms and the Oxford Initiative on Rethinking Performance. He collaborates with institutions like Cass Business School and Aston Business School on ethnographic studies. His work also intersects with the Insurance Institute of London and the International Bar Association for practitioner-focused outputs.

Azma Putra Azisمشاهده پروفایل

مدرس

• Acoustics and Noise Control
• Dynamics and Vibration Control
• Mechanical Engineering
• +۳ مورد دیگر

Azma Putra Azis is a Lecturer in the School of Civil and Mechanical Engineering at Curtin University, with a focus on acoustics, vibration control, and sustainable materials. He is affiliated with campuses in Australia, Dubai, Malaysia, Mauritius, and Singapore. His research emphasizes eco-friendly acoustic absorbers using natural fibers (e.g., wood, oil palm, coconut) and additive manufacturing. He collaborates widely, publishing in journals like International Journal of Environmental Science and Technology and Applied Acoustics . His work spans noise control, composite material development, and structural acoustics. Teaching areas include Science and Engineering, with contributions to the Centre for Aboriginal Studies and interdisciplinary fields. Education: Not explicitly stated in profile, but extensive academic publications suggest advanced qualifications in mechanical/acoustical engineering. Research Interests: Acoustic absorber design, composite materials, vibration dynamics, and sustainable engineering. Professional Networks: ORCID (0000-0001-6023-2493), Google Scholar, LinkedIn, and personal website ( www.azmaputra.com ). Publications highlight innovations in sound absorption using agricultural waste (e.g., durian husk, sugarcane fiber) and optimization of muffler designs. His work bridges engineering and environmental science, with applications in construction, automotive, and renewable materials.

• Entrepreneurship
• Venture Capital
• Blockchain and Cryptocurrencies
• +۷ مورد دیگر

Christian FISCH is an Associate Professor in Business Economics and Entrepreneurship at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT). His research focuses on the intersection of entrepreneurship with digital technologies, venture finance, and socio-cultural influences. Key areas include blockchain-based financing mechanisms (e.g., ICOs), the psychological and digital identity aspects of entrepreneurs, and the impact of environmental/climate factors on entrepreneurial activity. He has published extensively in top journals, addressing topics such as B Corp certification signaling effects, venture capital decision-making, and the paradox of technology adoption among SMEs. His work spans both theoretical contributions (e.g., extending Schumpeterian frameworks) and applied analyses (e.g., post-pandemic entrepreneurial resilience). FISCH collaborates with global institutions, leveraging mixed-methods approaches including digital trace analysis from platforms like Twitter to study investor behavior and entrepreneurial traits. He has no listed awards but maintains active research agendas in decentralized finance, climate entrepreneurship, and cross-cultural entrepreneurial motivations. Professional activities include editorial roles in entrepreneurship journals and advising on innovation policy. His research often addresses emerging trends such as NFTs in creative industries, DAO governance structures, and the role of trademarks/patents in regional innovation ecosystems.

Fiona Humمشاهده پروفایل

مدرس ارشد

• Evidence Law
• Criminal Justice
• Health Law
• +۶ مورد دیگر

Dr Fiona Hum is a Senior Lecturer at Monash University's Faculty of Law, where she conducts research and teaches. Admitted as a solicitor and barrister of the Supreme Court of Victoria, she previously practiced commercial litigation, criminal law, and personal injury law while consulting for major insurers and the Victorian police force. Her doctorate from the University of Melbourne focused on Northern Territory euthanasia laws. Education: Doctorate in Law, University of Melbourne (thesis on euthanasia laws) Admitted Solicitor and Barrister, Supreme Court of Victoria Research Focus: Dr Hum's work centers on Evidence Law , Wrongful Convictions , and Gender/Race Relations in Law , with pioneering studies on compassion training for law students now expanding into climate change law. Her research directly supports UN Sustainable Development Goals for justice, equality, and well-being through interdisciplinary approaches connecting legal theory with psychological and social frameworks. Publication Trends: Recent work (2022-2025) analyzes high-profile cases like Kathleen Folbigg and Cardinal Pell while advancing evidence law pedagogy through her Cambridge University Press textbook. Earlier scholarship (2010) established foundational critiques of gender bias in evidentiary processes, particularly regarding women complainants and pregnant patients. Scientific Awards: Faculty Teaching Award for Teaching Excellence (2010) Certificate of Recognition for S1 Unit Performance (2015) Certificate of Recognition for S2 Unit Improvement (2016) Nominee: Inspiring Woman Award (2021) Nominee: Australian Legal Education Award (2023) Advising & Professional Impact: Accepting PhD students, Dr Hum actively shapes legal education through curriculum innovation and peer review for top journals ( University of New South Wales Law Journal , Sydney Law Review ). Her external collaborations include specialist lectures for Monash's Faculty of Medicine and keynotes at national conferences like the Women's Lawyers Conference on 'Justice for All'. Institutional Roles: Current member of the Australasian Law Academics Association (2025-2028) and former Honorary Fellow at the University of Melbourne (2019-2021), she bridges academic rigor with real-world legal practice through ongoing consultancy work.

Gabriele Schweikertمشاهده پروفایل

مدرس ارشد

• Computational Biology
• Machine Learning
• Epigenetics
• +۶ مورد دیگر

Dr. Gabriele Schweikert is a Senior Lecturer and Principal Investigator with a joint appointment between the Division of Computational Biology in the School of Life Sciences at University of Dundee and Cyber Valley in Tuebingen. Her research focuses on applying machine learning techniques to understand epigenetic mechanisms and molecular processes in living cells. Dr. Schweikert completed her PhD at the Max Planck Institute Tuebingen working with Schoelkopf, Weigel, and Raetsch labs on machine learning for computational gene finding. She subsequently joined Adrian Bird's lab at the Wellcome Trust Center for Cell Biology in Edinburgh, a pioneer in epigenomic research. Prior to her current position, she held prestigious Marie Curie and EMBO Fellowships at the School of Informatics, University of Edinburgh. Her research interests center on using machine learning to decode epigenetic mechanisms that determine cellular identity and function. She investigates how cells with identical DNA can differentiate into specialized cell types through epigenetic regulation, with particular focus on applications in understanding tumorigenesis where epigenetic machinery malfunctions. Her work combines high-throughput epigenomic data with advanced computational approaches to address complex biological questions. Analysis of her recent publications reveals a strong focus on epigenomic data analysis, machine learning applications in biology, and computational approaches to understanding gene regulation. Her work spans from fundamental epigenetic mechanisms to practical applications in disease research, with growing emphasis on individual-specific epigenomic analysis and explainable AI in biomedical contexts. UKRI Future Leaders Fellowship (2020, £1.6 million) Marie Curie Fellowship EMBO Fellowship Dr. Schweikert actively supervises PhD students and has received significant research funding for projects including 'Machine Learning Methods to Re-Annotate Histone Modifications,' 'Unlocking The Alternative Splicing Code,' and 'GPU-Based Machine Learning System For Fundamental Biological Research.' She is involved in multiple interdisciplinary collaborations and frequently presents her work at major conferences including ELLIS Health program retreat, Epigenetics Meetings, and RECOMB workshops. She maintains active research laboratories in both Dundee and Tuebingen, fostering international collaboration between computational biologists, machine learning experts, and experimental biologists to advance our understanding of epigenetic regulation in health and disease.

Vitaly Kheyfetsمشاهده پروفایل

دانشیار

• Pulmonary Arterial Hypertension
• Critical Care Medicine
• Pediatric Cardiology
• +۴ مورد دیگر

Vitaly Kheyfets, PhD, serves as Associate Professor in the Department of Pediatrics-Critical Care Medicine at the University of Colorado Anschutz Medical Campus School of Medicine, where he directs research at the intersection of pediatric critical care and cardiopulmonary pathophysiology with emphasis on pulmonary arterial hypertension (PAH). His primary research focuses on right ventricular adaptation to pulmonary hypertension, utilizing machine learning-driven multi-omics analysis to identify disease biomarkers and molecular networks. He pioneers computational fluid dynamics approaches for hemodynamic modeling in congenital heart conditions like Glenn physiology, while also investigating sleep oscillatory patterns as neurodegenerative biomarkers. His methodology integrates proteomics, spatial transcriptomics, and pressure waveform analysis to dissect vascular remodeling mechanisms. Publication trends reveal a strong emphasis on translating computational models into clinical applications for PAH prognostication, with recent work developing AI-cooperative diagnostic platforms and characterizing microvascular changes in the right ventricle. Cross-disciplinary collaborations span proteomics, imaging, and sleep neuroscience, demonstrating consistent innovation in both pulmonary hypertension and neurodegenerative disease biomarker discovery.

Rosemary Monahanمشاهده پروفایل

استاد

• Software Verification
• Dependable Software Systems
• Formal Methods
• +۳ مورد دیگر

Rosemary Monahan is a Professor in the Department of Computer Science at Maynooth University and an affiliate of the Hamilton Institute. She holds BSc and MSc degrees from University College Dublin and a PhD from Dublin City University. As Maynooth University's institutional lead for ADAPT (SFI Research Centre for AI-Driven Digital Content Technology), she focuses on advancing software dependability through formal methods and AI integration. Her research interests include safety-critical systems, dependable software, formal verification, and computational thinking education. She co-founded the VerifyThis competition series and leads projects such as MAIVV (Modular AI Verification and Visualisation) funded by SFI, and VALU3S (Verification and Validation of Automated Systems) funded by Horizon 2020. She has secured over €2.5M in EU funding for the Erasmus Mundus programs in dependable software systems. Monahan’s educational contributions include pioneering computational thinking resources (CoCoA and InSPECT projects) and teaching modules on software verification and rigorous software processes. She supervises PhD students in data science and advanced networks and collaborates with institutions like INRIA, Microsoft Research, and Amazon Web Services. Her professional roles include editorships in journals like Science of Computer Programming and leadership in conferences like iFM and FMICS. She actively promotes gender equality in computing through initiatives like INGENIC and TechMate toolkits.

Merry Maniمشاهده پروفایل

دانشیار

• Biomedical Imaging
• Signal Processing
• Image Reconstruction
• +۴ مورد دیگر

Dr. Merry Mani is an Associate Professor in Radiology and Imaging Sciences and Biomedical Engineering, specializing in biomedical imaging and signal processing. Her work focuses on advancing MRI-based imaging technologies to study neurological disorders such as Alzheimer's, Autism, and Epilepsy. She holds a Ph.D. in Electrical and Computer Engineering from the University of Rochester (2014) and completed a postdoctoral fellowship at the University of Iowa School of Medicine (2018). Her research combines biophysical modeling with machine learning to explore brain microstructures. Key achievements include the NNARSAD Young Investigator Grant and NIH-funded projects like 'Fast Multi-dimensional Diffusion MRI with Sparse Sampling'. Her lab develops cutting-edge reconstruction methods like qModeL and MUSSELS, prioritizing high spatio-temporal resolution imaging. Major contributions span diffusion MRI acquisition, model-based deep learning, and clinical applications in neurodegenerative diseases. Notable grants include NIH R01EB031169 for Alzheimer’s neurodegeneration studies and projects on rTMS for depression. Her work bridges imaging innovation with clinical impact, aiming to improve diagnosis and treatment through advanced imaging biomarkers.

Heiner Litzمشاهده پروفایل

دانشیار

• Computer Architecture
• Computer Systems
• Hardware-Software Interface
• +۳ مورد دیگر

Heiner Litz is an Associate Professor in the Computer Science & Engineering Department at UC Santa Cruz's Baskin School of Engineering. He holds the Kumar Malavalli Endowed Chair of Storage Systems Research and serves as Director of the Center for Research in Storage Systems (CRSS). He is also a member of UCSC's Hardware Systems Collective (HSC). Litz earned his PhD from Mannheim University and previously held positions at MIT, Google, and Stanford University. His research focuses on computer architecture and systems optimization , specifically improving hardware-software interfaces for data center workloads. Key areas include microarchitectural mechanisms (branch prediction, prefetching, cache design), profile-guided optimizations, and storage/disaggregated memory systems. His work bridges compiler techniques and hardware efficiency for emerging cloud applications. Recent publications emphasize profile-guided optimization across microarchitecture layers, storage scalability, and resource allocation in distributed systems. Trends include hardware-software co-design for data centers, RDMA-based protocols, and real-time control systems. Awards & Honors: Kumar Malavalli Endowed Chair of Storage Systems Research Best Paper Award at MICRO (2022) IEEE Micro Top Picks (2019, 2023) Best Paper Awards at ICPP (2008) and ARC (2009) Advising & Grants: He currently advises 11 PhD students and has graduated 8 MS/PhD students. Research is supported by NSF, Intel, Samsung, Google, Meta, Nutanix, HPE, ARM, Marvell, Cerabyte, Western Digital, and Broadcom. Labs & Teams: Directs CRSS, focusing on storage systems innovation, and collaborates with HSC on hardware-software integration projects.

• Project Management
• Operational Management
• Retail Logistics
• +۳ مورد دیگر

Goran Avlijas serves as an Assistant Professor at Singidunum University's Faculty of Business in Belgrade, Serbia. His academic profile spans project management, operational research, and retail logistics with significant industry experience at Delta Holding, Strabag AG, and Efektus Consulting Group. His research interests focus on project management methodologies including Agile and Earned Value Management, retail operations optimization through automatic replenishment systems, and sustainable project control . Current work examines gig economy impacts on well-being and pandemic business resilience. Recent publications demonstrate strong emphasis on Quantitative project risk analysis using Monte Carlo simulation Retail inventory management and stock-out reduction Agile methodology implementation in Serbian business context Sustainable infrastructure project valuation Professional recognitions include: Project Management Professional (PMP) Professional in Business Analysis (PMI-PBA) Agile Certified Practitioner (PMI-ACP) He actively participates in Erasmus+ programs as both teacher and mentor, notably guiding Serbia's championship-winning team at the 2020 International Project Management Championships. His academic contributions include two textbooks on Project Management and Entrepreneurship, along with numerous international conference participations as scientific committee member and reviewer. Avlijas maintains strong industry-academia connections through PMI membership and consulting engagements, while contributing to higher education accreditation processes as a National Accreditation Body delegate.

Oliver Schmitzمشاهده پروفایل

استاد

• Plasma Edge Physics
• Plasma Wall Interaction
• Three-Dimensional Plasma Edge Transport
• +۶ مورد دیگر

Oliver Schmitz is a Professor in the Department of Nuclear Engineering & Engineering Physics at the University of Wisconsin-Madison, where he leads research in plasma edge physics for magnetic confinement fusion and next-generation particle accelerators. His work bridges experimental plasma science, computational modeling, and diagnostic development with applications in both tokamaks and stellarators. Education: PhD (2006), Heinrich-Heine-Universität Diploma (2003), Rheinische Friedrich-Wilhelms-Universität Professor Schmitz's research focuses on 3D plasma edge transport phenomena, plasma-wall interactions, and helicon plasma generation for wakefield accelerators. His group employs advanced computational tools like EMC3-EIRENE for 3D plasma edge modeling and develops active spectroscopic diagnostics to measure plasma parameters through atomic emission analysis. Key themes include resonant magnetic perturbation effects in tokamaks, inherent 3D physics in stellarators, and high-density plasma sustainment for accelerator applications. He actively develops atomic models to interpret spectroscopic data and operates helicon plasma test stands for fundamental process studies. Recent publications reveal strong emphasis on experimental-computational integration for fusion boundary physics, with significant contributions to ITER divertor solutions, stellarator exhaust optimization, and plasma-facing materials. The work shows growing focus on wakefield accelerator diagnostics through helicon plasma sources and advanced spectroscopy, alongside persistent innovation in 3D modeling of plasma-material interfaces. Scientific Awards: 2020 Thomas and Suzanne Werner Chair Professorship 2018 UW Madison Teaching Academy Fellow 2017 ITER Science Fellowship & Vilas Mid-Career Award 2015 DOE Early Career Award & NSF CAREER Award 2011 Torkil Jensen Award (General Atomics) 2007 Günther-Leibfried-Preis (Jülich) Professor Schmitz directs multiple DOE/NSF-funded research programs including his UW Madison laboratory and AWAKE project contributions at CERN. He mentors graduate students through NE 890/990 thesis research courses and has developed nationally recognized K-12 outreach including the "Plasma Show" for elementary schools and "Plasma Academy" for high-school educators developing AP Physics curriculum modules. His leadership extends to university governance through the Kaufman seminar on academic leadership. His research group operates helicon plasma test stands and computational facilities for EMC3-EIRENE simulations, with current efforts focused on high-density plasma sources for accelerators and resilient divertor solutions for stellarators. The group maintains strong international collaborations with ITER, CERN, and major fusion facilities worldwide.