Find Academic Supervisors

Kathrin M. MösleinView profile

Professor

• Strategic Innovation
• Business Information Systems
• Innovation Management
• +5 more

Professor Kathrin M. Möslein holds the Chair of Business Information Systems, specializing in Innovation and Value Creation at Friedrich-Alexander University Erlangen-Nürnberg (FAU). She has been Vice President of FAU since 2016 and has held her professorship since 2007. Previously, she served as Chair of Strategic Management and Organization at HHL Leipzig Graduate School of Management. She is an active academic leader, having served as President of the European Academy of Management (EURAM) and holding significant roles in academic governance. Her research spans strategic innovation, cooperation, leadership, and their IT support within companies, with particular emphasis on digital transformation and Industry 4.0 applications. Her work demonstrates strong interdisciplinary connections between business administration, information systems, and engineering disciplines, reflecting her dual background in computer science and economics. Professor Möslein's recent publications reveal a consistent focus on practical applications of digital technologies in business contexts, particularly examining innovation ecosystems, smart manufacturing, and service systems engineering. Her work bridges theoretical frameworks with real-world business challenges, often incorporating stakeholder perspectives and practical implementation considerations. She maintains significant academic leadership roles including membership in the permanent commission 'Transfer and Cooperation' of the German Rectors' Conference, the board of the Leipzig Foundation for Innovation and Technology Transfer, and as research professor and member of the management of the Center for Leading Innovation & Cooperation (CLIC) at HHL.

• Chronic Pain
• Opioid Dependence
• Addiction
• +7 more

Anna Taylor, PhD, is an Associate Professor in the Department of Pharmacology within the Faculty of Medicine & Dentistry at the University of Alberta. She holds the Canada Research Chair in Pain and Addiction and the Alberta Cancer Foundation Chair in Palliative Care, and is a member of both the Neuroscience and Mental Health Institute and the Cancer Research Institute of Northern Alberta. Dr. Taylor completed her doctoral training at the McGill Pain Center followed by postdoctoral research at UCLA's Hatos Center for Opioid Pharmacology. Her educational background established a foundation in pain mechanisms and opioid pharmacology that directly informs her current research program. Her research critically examines how chronic pain alters affective and cognitive brain regions, with particular focus on interactions between pain pathways, opioid systems, and emotional processing. Key areas include neuroinflammation in pain chronification, gut microbiome-pain interactions, sex differences in pain and addiction, and the development of non-addictive analgesics targeting alternative opioid pathways. Her work consistently employs sophisticated rodent models to dissect neural circuitry underlying pain and reward. Analysis of her recent publications reveals an accelerating focus on neuroimmune mechanisms and sex-specific pain processing, with growing emphasis on the gut-brain axis. A defining trend is her investigation of non-canonical opioid agonists as safer alternatives to traditional opioids - research that directly addresses the dual crises of chronic pain management and the opioid epidemic through mechanistic innovation. Dr. Taylor's significant contributions to pain and addiction research have been recognized through prestigious appointments: Canada Research Chair in Pain and Addiction Alberta Cancer Foundation Chair in Palliative Care She actively mentors graduate students and postdoctoral fellows while securing competitive research funding from national agencies. Her collaborative approach spans neuroscience, immunology, and clinical pain medicine, with particular emphasis on translating basic findings into improved therapeutic strategies for pain and addiction disorders. The Taylor Lab operates as a multidisciplinary hub within the Medical Sciences Building, integrating molecular, behavioral, and neuroanatomical approaches to study pain's emotional dimensions. Current team projects investigate central amygdala neuroinflammation in pain hypersensitivity, microbiome-mediated modulation of opioid responses, and sex chromosome effects on pain processing - all aimed at developing targeted interventions for chronic pain conditions.

• Mechatronics
• Robotics
• Safety Engineering
• +6 more

Yoshitaka Tanimizu is a Professor at the School of Creative Science and Engineering, Faculty of Science and Engineering, Waseda University. His research focuses on intelligent manufacturing systems, scheduling optimization, and human-centered production models. He holds a Doctor of Engineering degree from Osaka University and maintains an active research laboratory.

Vinh NguyenView profile

Assistant Professor

• Advanced Manufacturing
• Industry 4.0
• Human-Robot-Machine Interaction
• +5 more

Vinh Nguyen is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University, where he directs the Michigan Tech Center for AI and coordinates the NIST-PREP program. His research focuses on advanced manufacturing through Industry 4.0, human-robot-machine interaction, and physics-based/data-driven modeling. He has developed solutions for machining, additive manufacturing, metal forming, and robotic assembly to promote smart and sustainable manufacturing. Prior to joining Michigan Tech in 2022, he was a National Research Council Postdoctoral Fellow at NIST (2020–2022). Dr. Nguyen earned his PhD (2020), MS in Mechanical Engineering (2017), and MS in Electrical & Computer Engineering (2017) from Georgia Institute of Technology. He received dual bachelor’s degrees in Electrical and Mechanical Engineering from Rensselaer Polytechnic Institute (2014). His research portfolio spans Advanced Manufacturing Industry 4.0 and 5.0 Human-Robot Interaction Physics-Based/Data-Driven Modeling Industrial Automation based on his lab’s interdisciplinary focus on human-centric, resilient solutions. His recent publications address trends in Machine Learning for Manufacturing Autonomous Vehicle Sensors Hybrid Additive/Subtractive Manufacturing Augmented/Mixed Reality Interfaces Industrial Robot Diagnostics Material-Specific Machining with keywords spanning Robotics, Data Science, and Industrial Engineering.

• Social Cognition
• Social Perception
• Psychological Methodology
• +4 more

Dr. Piotr Dragon is an Assistant Professor at the Department of Social Psychology, Institute of Psychology, Jagiellonian University , and a member of the Centre for Social Cognitive Studies in Kraków. He holds dual degrees in Psychology (2010) and Sociology (2011) from Jagiellonian University, with a doctorate in Psychology (2015).

• Animal Behavior
• Behavioral Neuroscience
• Big Data
• +23 more

Dan Cox serves as Dean of Natural Sciences in The College of Liberal Arts and Sciences and Professor in the School of Life Sciences at Arizona State University. He holds a B.S. in Biology from Wake Forest University and a Ph.D. in Cell Biology from Duke University, where he was an NIH pre-doctoral fellow. His postdoctoral training included a Jane Coffin Childs Fellowship and HHMI Research Associate position at UCSF. His educational trajectory includes: B.S. magna cum laude with honors in Biology, Wake Forest University (1992) Ph.D. in Cell Biology, Duke University Medical Center (1999) Postdoctoral training: Jane Coffin Childs Fellow & HHMI Research Associate, UCSF (2000-2004) Cox leads an internationally recognized neuroscience research program focused on neuronal diversity, circuit construction, and neural mechanisms of behavior—particularly pain perception and sensory neuropathies. His expertise spans neurobiology, cell biology, genetics, and computational modeling, with emphasis on multimodal sensory processing and brain plasticity. His lab has maintained continuous NIH funding for 20 years. His recent publications reveal dual research thrusts: fluid dynamics studies on drag reduction in pipe flows (examining vortex dynamics, Reynolds number effects, and wall oscillation techniques) and genetic engineering work including CRISPR-Cas9 delivery systems for immune system gene screening. This combination reflects interdisciplinary collaboration across engineering and biological domains. Key recognitions include: NIH pre-doctoral fellowship Jane Coffin Childs Fellowship for Medical Research HHMI Research Associate appointment Cox demonstrates exceptional commitment to mentoring across career stages and advancing student success through innovative pedagogies. His leadership extends to directing research centers, imaging facilities, and graduate programs—including roles as Director of the Center for Neuromics and Neuroscience Institute at Georgia State University. His NIH-funded research supports extensive interdisciplinary collaboration and training initiatives. Throughout his career, Cox has cultivated collaborative research environments through leadership in core facilities and interdisciplinary clusters, notably directing the 2CI Neurogenomics Fellowship and Brains & Behavior initiatives. His current deanship emphasizes cross-college research integration within ASU's liberal arts framework.

James ShacklefordView profile

Associate Professor

• Medical Image Processing
• High Performance Computing
• Embedded Systems
• +2 more

James Shackleford serves as Associate Professor and Interim Associate Dean for Enrollment Management and Graduate Education in the Department of Electrical and Computer Engineering at Drexel University. His research bridges medical image processing, high performance computing, and emerging neuromorphic architectures with significant contributions to radiation therapy applications. Education: PhD in Electrical Engineering, Drexel University, 2011 MS in Electrical Engineering, Drexel University BS in Electrical Engineering, Drexel University Research Focus: Professor Shackleford's work centers on GPU-accelerated medical image registration (forming the core of the open-source Plastimatch software), real-time tumor motion management for radiation therapy, and digital spiking neuromorphic systems . His research integrates computer vision, machine learning, and embedded systems to solve clinical imaging challenges. Publication Trends: Recent work (2020-2024) reveals dual research trajectories: (1) advancing deformable image registration through CycleGAN-based domain adaptation for CT auto-segmentation in radiation oncology, and (2) pioneering neuromorphic computing with configurable hardware architectures, dataflow-based compilers, and resource-aware neural network mapping. These streams converge on high-performance solutions for medical imaging and efficient neural processing.

Martijn R.K. MesView profile

Professor

• Transportation and Logistics Management
• Artificial Intelligence for Logistics
• Synchromodal Transport
• +11 more

Martijn Mes is a full professor of Transportation and Logistics Management and chair of the Industrial Engineering & Business Information Systems section at the University of Twente, Netherlands. He leads research and education initiatives that integrate AI, simulation and optimisation into logistics and supply-chain innovation. Education: Ph.D. in Operations Research, University of Twente – 2008 M.Sc. in Applied Mathematics, University of Twente – 2002 Post-doctoral researcher, Princeton University, Dept. of Operations Research & Financial Engineering Research focus: Mes develops quantitative models and AI techniques for strategic, tactical and operational logistics challenges. His work spans three application pillars: Emergency & humanitarian logistics – rapid relief distribution with trucks and UAVs Urban logistics – city distribution, self-organising systems and last-mile innovations Sustainable logistics – synchromodal transport, green ports and electric/autonomous fleets Methodologically he combines approximate dynamic programming, reinforcement learning, multi-agent simulation, discrete-event simulation and stochastic optimisation to create decision-support tools for industry and government. Publications trend: Recent articles (2025-2022) exhibit a strong emphasis on integrating reinforcement learning and stochastic optimisation into dynamic vehicle routing, drone-assisted delivery and post-disaster inventory allocation, signalling a shift towards data-driven, real-time logistic systems. Grants & projects: Mes has coordinated and participated in numerous national and European projects on sustainable logistics, urban distribution, port optimisation and healthcare logistics, frequently collaborating with industry partners and public bodies. Teaching & supervision: He coordinates and lectures in the BSc and MSc programmes Industrial Engineering & Management, offering courses on simulation, queueing theory, dynamic programming, Markov chains, transportation management and technology management. He has authored a widely used Plant Simulation tutorial and supervises PhD candidates working on AI-driven logistics, autonomous vehicles and digital twins.

• Reproductive Biology
• Pharmacology
• Obstetrics and Gynecology
• +5 more

Scott Barnett serves as an Assistant Professor in the Department of Biochemistry & Molecular Biology at the University of Nevada, Reno, focusing on molecular pathways in uterine physiology to combat preterm labor through novel drug development. His academic credentials include: B.S. from University of Nevada, Reno (2011) Ph.D. from University of Nevada, Reno School of Medicine (2017) Dr. Barnett's research centers on reproductive pharmacology, specifically developing placenta-impermeable tocolytics targeting myometrial relaxation mechanisms. His work integrates molecular biology, smooth muscle physiology, and translational drug discovery to address the critical unmet need for FDA-approved preterm labor treatments. Key approaches include modulation of β3 adrenergic receptors, connexin 43 dynamics, and mechanosensitive ion channels like Piezo1 and TREK-1. Analysis of his publication record reveals consistent innovation in dual-pathway targeting strategies, with recent emphasis on small-molecule modulators of endoplasmic reticulum trafficking (Cx43/OXTR) and synergistic ion channel activation. His nephrology-related work demonstrates parallel expertise in multi-target therapeutics for diabetic complications. Dr. Barnett holds a provisional patent for a preterm labor treatment, reflecting his translational impact. While no formal advisees are documented, his program actively develops novel therapeutics and previously explored dual-purpose nephrology drugs. Research is supported by patent-protected innovation and likely grant funding for molecular obstetrics. His laboratory focuses on human myometrial tissue studies, combining molecular signaling analysis with functional contractility assays to bridge basic science and clinical obstetrics.

Zerrin HarthView profile

Professor

• Applied Mathematics
• Engineering Mathematics
• Numerical Analysis

Prof. Dr.-Ing. Zerrin Harth serves as Professor of Mathematics within the Faculty of Mechanical Engineering at RWU Ravensburg-Weingarten University of Applied Sciences. She holds critical administrative roles including Head of the Practice Office, QM Officer, and Equal Opportunities Officer, directly supporting academic operations and student-industry integration for mechanical engineering programs. Her research expertise centers on applied mathematical methodologies for engineering systems, with emphasis on computational techniques and numerical analysis. These disciplines enable rigorous modeling of mechanical processes, bridging theoretical mathematics with practical engineering solutions in areas such as fluid dynamics and structural mechanics. As Head of the Practice Office, Prof. Harth oversees mandatory internships and industry placements for students, managing partnerships with technical enterprises. Her dual roles in quality management and equal opportunities demonstrate institutional leadership in educational standards and inclusive academic practices within the engineering faculty.

Bingqin LiView profile

Professor

• Urban Governance
• Social Policy
• Public Administration
• +4 more

Professor Bingqin Li is a leading academic in social policy and urban governance at UNSW's School of Arts, Design & Architecture. She holds dual PhDs from the London School of Economics (Social Policy) and Nankai University (Economics). Her research focuses on urban governance in fast-growing economies, aging societies, and social policy in multicultural contexts. She has advised the World Bank, EU, WHO, and UNESCAP, and chairs the East Asian Social Policy Research Network. Research Themes: Urbanization, disability inclusion, social spending, governance of complex policies Regional Expertise: China, Australia, and comparative studies with Western nations Key Publications: Over 150 works including Urban Studies, Social Policy & Administration Recent grants include studies on CALD social services resilience and urban food security during crises. Awards include the Chinese Social Policy Association's Best Paper Award (2018) and STICERD research awards. She supervises PhD students in urbanization, governance processes, and sustainable development. Current supervision focuses on rural-urban linkages and housing policy in China. Active in international conferences, she delivers keynotes on topics like aging populations and disability employment in the digital age.

Ying WangView profile

Professor

• RF/Microwave Circuits and Systems
• Millimeter-Wave Technology
• Antennas and Antenna Arrays
• +4 more

Dr. Ying Wang is a Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University, part of the Faculty of Engineering and Applied Science. Her research focuses on RF/microwave circuits, millimeter-wave technology, antennas, and computer-aided design. She holds a PhD from the University of Waterloo (2000), and earlier degrees from Nanjing University of Science and Technology, China. Education: PhD (Electrical Engineering), University of Waterloo, 2000 Master of Applied Science (Electronic Engineering), Nanjing University of Science and Technology, 1996 Bachelor of Engineering (Electronic Engineering), Nanjing University of Science and Technology, 1993 Research Interests: Dr. Wang specializes in microwave filter design, millimeter-wave systems, antenna arrays, and neural network applications in electromagnetic optimization. Her work emphasizes practical implementations in wireless communication systems, satellites, and high-frequency devices. Recent projects include optimizing amplifier stability in CMOS technology and developing advanced multiplexing networks. Publications: Her publications span neural network modeling for microwave filters, millimeter-wave amplifier design, and multiplexer synthesis. Key themes include high-dimensional optimization techniques, scalable circuit models, and cross-disciplinary applications of artificial intelligence in electromagnetics. Professional Background: Prior to academia, Dr. Wang worked as a Senior Member of Technical Staff at COM DEV International (2000–2007), contributing to industrial microwave system development. She currently teaches courses such as Microwave and RF Circuits (ELEE 4750U) and Antenna Theory and Design (ENGR 5695G).

• Chronic Pain
• Pediatric Pain
• Pain Management
• +7 more

Bruce Dick is a Professor in the Department of Anesthesiology & Pain Medicine at the University of Alberta's Faculty of Medicine & Dentistry. He maintains dual clinical roles at the Pediatric Chronic Pain Clinic (Stollery Children's Hospital) and the Multidisciplinary Pain Centre (University of Alberta Hospital), integrating research with direct patient care. Education: Ph.D. in Clinical Psychology (Dalhousie University, Pediatric Pain Research Laboratory) Clinical training at Royal National Hospital for Rheumatic Diseases (Bath, UK) and IWK Health Centre (Halifax, NS) AHFMR Postdoctoral Fellowship (University of Calgary/Alberta Children's Hospital) Dr. Dick's research examines chronic pain's impact across the lifespan with particular focus on cognitive function , disability , sleep disturbances , and social stigmatization . His work bridges pediatric pain management with innovative distance treatment programs and population-level interventions. Key themes include psychosocial pain modulation in adolescents, virtual care adaptation during crises, and cancer pain self-management systems. Analysis of his 2020-2022 publications reveals dominant trends in pandemic-responsive pain care delivery, caregiver-focused interventions, and adolescent social dynamics. His work spans pediatric psychology , digital health implementation , and pain epidemiology with strong emphasis on real-world clinical translation. Scientific Awards: AHFMR Postdoctoral Fellow As a registered clinical psychologist, Dr. Dick directs multiple research streams including the Chronic Pain Network initiatives and Teens Taking Charge cancer pain program. His grant portfolio supports telehealth innovation and longitudinal studies of pain's social impact, while mentoring focuses on training the next generation of pain researchers through clinical rotations and co-authorship opportunities. Dr. Dick leads collaborative teams across the Stollery Children's Hospital Pediatric Chronic Pain Clinic and University of Alberta Multidisciplinary Pain Centre , with active partnerships in the Canadian Pain Society and international pain research consortia. Current projects emphasize scalable digital interventions and neurocognitive pain mechanisms using MEG technology.

Xiaoli FernView profile

Associate Professor

• Machine Learning
• Data Mining
• Graph Learning
• +5 more

Xiaoli Fern is an Associate Professor in the School of Electrical Engineering and Computer Science at Oregon State University. She holds a Ph.D. in Computer Engineering from Purdue University (2005) and dual degrees (B.S. and M.S.) in Automation and Computer Science from Shanghai Jiao Tong University (2000). Her research focuses on applied machine learning , graph learning , and explainability in AI systems , with applications in microbiome analysis , ecological monitoring , and human-computer interaction . Research Expertise: Unsupervised learning, clustering, correlation analysis, outlier detection, and scientific data mining. Collaborations: Active involvement in the IGERT Ecosystem Informatics program and interdisciplinary projects with ecologists, roboticists, and biologists. Awards: 2011 NSF CAREER Award for early-career excellence in research. Her recent work includes applying deep learning to microbiome data and developing interactive systems that bridge theory with real-world applications in biology and materials science. She mentors students across all academic levels and emphasizes the importance of collaborative, real-world problem-solving in her research lab.

Divya MahajanView profile

Assistant Professor

• Computer Architecture
• Distributed Systems
• Machine Learning Systems
• +2 more

Divya Mahajan is an Assistant Professor holding dual appointments in the College of Computing and College of Engineering at Georgia Institute of Technology. She directs the Systems Infrastructure and Architecture Research Lab, focusing on sustainable computing platforms for large-scale AI, machine learning, and data storage systems. Her research integrates computer architecture, distributed systems, and database technologies to optimize end-to-end data pipelines. Mahajan earned her PhD from Georgia Tech and Bachelor's from IIT Ropar (President's Gold Medal). Prior to academia, she was a Senior Researcher at Microsoft Azure, leading communication collective designs for distributed DNN training. Awards include NCWIT Collegiate Award (2017) and HPCA Distinguished Paper Award (2016). Research spans hardware-software co-design for ML systems, efficient recommendation architectures, federated learning optimization, and PIM/NPU acceleration. Recent projects address challenges in large-scale model serving, edge-cloud integration, and sustainable computing. Student advisees include PhD and MS researchers in systems and architecture. Publications demonstrate consistent innovation in accelerating ML workloads through novel hardware/software techniques, with work appearing in ISCA, MICRO, ASPLOS, NeurIPS, and VLDB. Current projects explore energy-efficient AI infrastructure and domain-specialized systems for emerging economies.