Find Academic Supervisors

• Biological Aging
• Cancer Survivorship
• Sleep Science
• +5 more

Judith E Carroll, PhD, is an Adjunct Associate Professor in the Department of Psychiatry and Biobehavioral Sciences at UCLA's School of Medicine, where she holds the George F. Solomon Professorship of Psychobiology. She directs the Aging Biology & Behavior Lab and co-leads the Infrastructure for Research in Equity, Aging, Cancer and Health initiative. Her research bridges psychoneuroimmunology, geroscience, and oncology, with continuous NIH funding since 2013. Education: PhD in Biological & Health Psychology, University of Pittsburgh (2010) MA in Biopsychology & Aging, Sonoma State University (2003) BA in Psychology, Sonoma State University (2002) Her research examines biological mechanisms linking stress, sleep, and aging in cancer populations. Primary interests include: Accelerated aging biomarkers in breast cancer survivors Sleep health interventions to reverse cellular aging Impact of early-life adversity on lifelong health trajectories Social determinants of cognitive decline in oncology Recent publications (2023-2025) demonstrate: Dominant focus on epigenetic aging and inflammation in oncology Longitudinal studies of cancer-related cognitive decline Methodological innovation in transcriptomic biomarker discovery Health disparities framework across 80% of publications Awards: American Psychosomatic Society Young Scholar Award (2012) American Sleep Medicine Foundation Bridge to K Award (2013) American Cancer Society Research Scholar Award (2015) STOP CANCER Career Development Award (2016) PNIRS Robert Ader New Investigator Award (2019) Active Grants (NIH): R01AG082348: Patterns of Biological Aging in Cancer Survivors (MPI, 2023-2028) R56AG068086: Heterogeneity in Aging Among Breast Cancer Survivors (PI, 2021-2022) R01CA237535: Accelerated Aging in Breast Cancer (PI, 2020-2023) She mentors through the TLC (Thinking and Living with Cancer) Study consortium involving 15+ institutions. Leads the Aging Biology & Behavior Lab researching stress-sleep-aging mechanisms and co-directs the Infrastructure for Research in Equity, Aging, Cancer and Health (REACH) initiative, fostering multi-institutional collaborations on health disparities.

Rainer WallnyView profile

Professor

• High-Energy Physics
• Particle Physics
• Higgs Physics
• +3 more

Prof. Rainer Wallny is a Full Professor of Physics at ETH Zurich and Head of the Institute for Particle Physics and Astrophysics. His research focuses on high-energy particle physics, particularly through the CMS experiment at the Large Hadron Collider (LHC), emphasizing Higgs boson studies and detector upgrades. He leads projects on Higgs boson characterization in photon and b-quark final states, as well as CMS pixel detector upgrades for Phase-2. His group also explores future collider technologies and contributes to teaching at all academic levels. Education: Studied Physics at Universities of Tübingen, Washington (M.Sc., 1994), and Heidelberg (Diplom, 1996) PhD in Physics from University of Zurich CERN Research Fellow (2001–2003) Faculty at UCLA (2003–2010), promoted to Full Professor in 2010 Joined ETH Zurich as Full Professor in 2010 Research Interests: Higgs boson properties and decay channels Supersymmetry searches in CMS data Detector development for CMS (pixel trackers, diamond sensors) Phase-2 LHC upgrade technologies Experimental particle physics at high-luminosity colliders Grants and Advising: Supervised over 20 PhD students since 2010 Leadership roles in CMS collaboration and detector R&D initiatives Active in curriculum design for physics education at ETH Labs & Teams: Wallny Group at ETH Zurich Institute for Particle Physics and Astrophysics (D-PHYS) Collaborations with CERN and global CMS teams

• Project Management
• Healthcare Decision Making
• Public-Private Partnerships
• +3 more

Geert Dewulf is a Professor at the University of Twente, specializing in project governance, public-private partnerships (PPPs), and healthcare decision-making. His research focuses on strategic decision support systems, uncertainty management in healthcare organizations, and adaptive governance frameworks. He has contributed to over 215 publications and supervised 21 students. Key areas of expertise include infrastructure development, construction management, and institutional logics in extended enterprises. Research interests span dynamic decision-making models, stakeholder network dynamics, and the integration of real options and scenario planning in strategic management. He has received awards such as the Best Paper at the 14th Engineering Project Organization Conference and recognition for contributions to community-engaged research in construction management. Education: Not explicitly stated in the provided text. Affiliations: Member of the VISICO Center at the University of Twente, engaged in editorial roles for journals like Engineering Project Organization Journal. Labs/Teams: Associated with interdisciplinary teams focused on healthcare infrastructure and PPP governance. His work addresses challenges in healthcare asset management, resilient infrastructure planning, and fostering collaboration in complex projects. Recent contributions include frameworks for adaptive decision support and serious games for reflecting on partnership dynamics in concessions.

Dimitrios KoutsonikolasView profile

Associate Professor

• Wireless Networking
• Mobile Computing
• Millimeter Wave Networking
• +5 more

Dr. Dimitrios Koutsonikolas is an Associate Professor in the Electrical and Computer Engineering Department at Northeastern University, leading the WiNS Lab. Previously, he held a tenured position at the University at Buffalo. His research focuses on experimental wireless networking and mobile computing, particularly millimeter-wave systems, 5G/6G networks, energy-efficient protocols, and high-bandwidth applications like VR/AR. He has published over 80 papers in top venues (e.g., MobiCom, INFOCOM), received NSF CAREER and IEEE awards, and led major grants including an NSF-funded $3M project for an open 5G/6G testbed. His lab explores cutting-edge technologies like O-RAN, beam management, and edge computing for latency-critical applications. Education: PhD in Electrical and Computer Engineering from Purdue University (2010). Research Interests: Experimental validation of wireless protocols, mmWave networking, latency-optimized edge computing, and cross-layer design. Current projects include TARGET (5G/6G latency solutions) and the X5G testbed for open spectrum utilization. Recent Trends in Articles: Focus on 5G deployment maturity, mmWave beam management, and 6G-ready technologies like autonomous space networks. Work bridges theoretical contributions with practical implementations, leveraging testbeds for real-world validation. Awards: Notable honors include IEEE Region 1 Innovation (2019), NSF CAREER (2016), and multiple best paper awards at MobiCom, WCNC, and Globecom. Recognized for both research and teaching excellence. Grants & Labs: Principal investigator on NSF grants ($3M+), leading collaborations with IMDEA Networks and industry partners. WiNS Lab develops open-source tools for 5G testing and explores sub-THz channels. Advises over 15 students, many advancing to top tech firms (e.g., Apple, HP Labs).

Fabio PierellaView profile

Associate Professor

• Offshore Wind Energy
• Fluid Dynamics
• Structural Engineering
• +3 more

Fabio Pierella is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Department of Wind and Energy Systems Flows, specializing in Wind Turbine Design Division. His research focuses on offshore wind energy systems, fluid dynamics, and structural engineering. He has contributed to projects like OC6 Phase IV and the DeRisk database, validating numerical models for floating offshore wind structures and extreme wave loads. Key research interests include computational fluid dynamics (CFD), hydrodynamic load modeling, and the design of large-scale floating wind turbines. His work spans numerical simulations, experimental validation, and database development for extreme sea states. Pierella has presented at international conferences on topics like wave-structure interaction and turbine control systems. He received the Best Poster Presentation Award (2024) and contributed to datasets such as the DeRisk Database, which provides critical wave data for offshore wind turbine design. His research emphasizes practical applications, including monopile structural integrity under extreme loads and control strategies for floating platforms. Pierella's activities include conference presentations on ultra-large floating turbines (EMULF2 project) and the impact of wave shape on 15MW turbine loads. His interdisciplinary approach integrates computational models with experimental results to address challenges in offshore renewable energy systems.

Michael R. MooreView profile

Professor

• Environmental Economics
• Water Resource Economics
• Climate Change Adaptation
• +4 more

Michael R. Moore was a Professor of Environmental Economics at the University of Michigan’s School for Environment and Sustainability (SEAS). His research focused on water resource economics, climate change adaptation, and environmental policy, with notable contributions to valuing water quality, analyzing agricultural adaptations to weather risks, and evaluating renewable energy policies. He held leadership roles in NSF-funded projects addressing Great Lakes water quality and offshore wind energy siting. Education: PhD, Natural Resource Economics, University of Michigan BA, Economics, University of Colorado Research Interests: His work integrated ecological and economic systems, emphasizing: Environmental valuation using hedonic pricing Climate change impacts on land use and farming Policy design for emissions trading and renewable energy markets Great Lakes ecosystem restoration and economic outcomes Grants & Leadership: Key grants included $5M NSF funding to study Great Lakes algal blooms and $224K for analyzing Great Lakes restoration’s economic impacts. He co-led multi-institution studies on offshore wind energy siting and green electricity market mechanisms. Media Impact: His research on Great Lakes pollution remediation’s effect on property values garnered national media attention, including features in Michigan Radio and Wisconsin Public Radio . He also advised on Colorado River water agreements and African freshwater science initiatives.

• Heuristic Search
• Combinatorial Search
• Artificial Intelligence
• +2 more

Nathan Sturtevant is a Professor at the University of Alberta's Department of Computing Science, an Amii Fellow, and Canada CIFAR Chair. His research spans heuristic and combinatorial search problems, with applications in game AI and pathfinding algorithms. He collaborates with the games industry to implement his research in commercial products. Dr. Sturtevant's research explores search algorithms for single and multiple agents, covering areas such as bidirectional search, meta-learning for game theory, procedural content generation, and multi-agent pathfinding. His work integrates machine learning techniques with classical search algorithms to solve complex problems in game environments. Recent publications demonstrate innovations in search optimization, including novel frameworks for suboptimal bidirectional search, new puzzle difficulty metrics, and applications of transformer models to card game planning. His FarmQuest player telemetry dataset provides resources for studying player behavior in farming simulations.

Randa HerzallahView profile

Associate Professor

• Control Systems
• Energy Systems
• Machine Learning
• +2 more

Dr. Randa Herzallah is an Associate Professor at the University of Warwick with interdisciplinary expertise spanning control systems, quantum engineering, and machine learning. Her research develops probabilistic frameworks for complex systems control. Research interests focus on probabilistic control methods applied to energy grids, quantum systems, and biomedical applications. Recent work integrates machine learning with control theory for smart grid optimization and quantum system management. Publication analysis shows consistent focus on probabilistic control frameworks, with recent expansion into quantum applications and deep learning for industrial applications. Research funding includes EPSRC and Leverhulme Trust grants supporting quantum control and energy systems projects. Leads research in probabilistic control methodologies with industrial applications.

Jay A. GuptaView profile

Professor

• Condensed Matter Experiment
• Scanning Tunneling Microscopy (STM)
• Nanomaterials
• +7 more

Prof. Jay A. Gupta is a Professor and Vice Chair for Graduate Studies and Postdoctoral Affairs in the Department of Physics at The Ohio State University. His research focuses on atomic-scale studies of novel materials using scanning tunneling microscopy (STM) to address challenges in energy conversion and advanced computing. Key areas include magnetic skyrmions in chiral systems, semiconductor defects, 2D materials, and spintronics. He leads a laboratory equipped with four advanced STM systems and collaborates on NSF NeXUS, an ultrafast science facility. Education: B.S. Chemistry/Physics (UIUC), Ph.D. Physics (UCSB) Lab Locations: Physics Research Building (labs 0101/0105/0178) Key Projects: Spin-polarized STM of MnGe, defect-mediated surface chemistry in semiconductors, ultrafast laser-material interactions His group has trained over 30 graduate/undergraduate students and postdocs, many now in academia and industry. Research is supported by NSF, Department of Energy, and industrial partnerships.

• Robotics
• Biomedical Engineering
• Rehabilitation Engineering
• +3 more

Maria Dolores Blanco Rojas is a Full Professor and Deputy Director of the Systems and Automatic Engineering Department at Universidad Carlos III de Madrid (UC3M). Her research focuses on robotics and biomedical engineering, particularly in the development of soft robotic exoskeletons, shape memory alloy (SMA) actuators, and rehabilitation technologies. She leads the Robotics Lab and has contributed to over 100 peer-reviewed articles. Affiliations : UC3M, Robotics Lab, Systems Engineering and Automation Department Education : Not explicitly stated in text Her research interests include: Soft Robotics : Design of wearable exoskeletons for pediatric and post-stroke patients Materials Science : SMA-based actuators for medical and robotic applications Control Systems : Adaptive control algorithms for rehabilitation devices Biomedical Engineering : Integration of sEMG signals for gesture classification in assistive technologies Recent articles explore topics like hyperparameter optimization for machine learning models, SMA actuator efficiency, and eye-hand coordination assessment systems. Projects include the development of pediatric rehabilitation robots (Discover2Walk) and soft exoskeletons for ankle and wrist mobility. Grants/Projects : SRAR (2024–2027): Soft robotics for ankle rehabilitation STRIDE-UC3M (2022–2024): Pediatric exoskeleton validation Advising : Supervised theses on SMA actuators, soft exoskeletons, and rehabilitation systems Her lab develops novel sensors and actuators, including a silver-coated polyamide sensor and multi-wire SMA actuators for high-displacement applications. Collaborations include Airbus and TechnoFusión facilities.

Peter BellView profile

Professor

• Automatic Speech Recognition (ASR)
• Cross-domain and Cross-lingual Adaptation
• Speech Representation Learning
• +4 more

Roles: Prof Peter Bell holds a personal chair in speech technology at the University of Edinburgh's School of Informatics and is a core member of the Centre for Speech Technology Research (CSTR). His primary research focus is automatic speech recognition (ASR), particularly in cross-domain adaptation, lightly supervised training, and minority language systems. He teaches the Automatic Speech Recognition course and advises multiple PhD students. Research Interests: Prof Bell's work spans ASR system development for diverse domains, audio-visual integration, end-to-end models, and under-resourced languages. His projects include the CoG-MHEAR healthcare initiative and the Unmute project addressing language marginalization. He has pioneered techniques for speaker adaptation, raw-waveform modeling, and multi-task learning. Commercial Activities: He advises industry on speech tech adoption, co-founded Quorate Technology (acquired by LSEG), and provides consultancy to firms developing speech solutions. His work bridges academic research with commercial impact through projects like the BBC's MGB Challenge and EU-funded SUMMA platform. Grants & Projects: Leads EPSRC-funded CoG-MHEAR and Unmute initiatives, collaborates on IARPA MATERIAL for low-resource ASR, and contributed to the SpeechWave waveform-based ASR project. His research has been supported by Bloomberg, Ericsson, Samsung, and Toshiba. Labs & Teams: Active in CSTR, leading teams in speech representation learning, adaptation techniques, and multi-modal ASR. His lab supports interdisciplinary work with NLP, HCI, and biomedical engineering groups. Personal: A passionate hillwalker, he explores Scottish Highlands and Corbetts. Previously active in Edinburgh University Hillwalking Club, his outdoor pursuits reflect his disciplined approach to research exploration.

George VourosView profile

Professor

• Artificial Intelligence
• Multi-Agent Systems
• Reinforcement Learning
• +7 more

George Vouros is a Professor in the Department of Digital Systems at the University of Piraeus, Greece. He is the head of the AI Lab (http://ai-group.ds.unipi.gr/ai-group/) and director of the MSc in Artificial Intelligence program in collaboration with the Institute of Informatics and Telecommunications at NCSR Demokritos. He completed his BSc in Mathematics (1986) and PhD in Artificial Intelligence (1992) at the University of Athens. His research focuses on Expert Systems, Knowledge Management, Multi-Agent Systems, Reinforcement Learning, and Mobility Analytics. He has served as program chair and committee member for major conferences (AAMAS, AAAI, IJCAI) and editorial roles in journals like Discover Artificial Intelligence (Springer Nature) and Information (MDPI). He has supervised 13 PhD students and currently oversees 4. His work spans EU-funded projects and national initiatives, emphasizing scalable mobility analytics, air traffic management automation, and ontology engineering. He is also President of the Hellenic A.I. Society and actively promotes interdisciplinary applications of AI in healthcare, transportation, and environmental monitoring. Recent research highlights include deep reinforcement learning for tactical air traffic conflict resolution, LLM-integrated ontology engineering, and multimodal generative adversarial imitation learning for flight trajectory modeling. His work bridges theoretical advancements with real-world applications in critical infrastructure systems.

• Water resources engineering
• Surface water hydrology
• Data science
• +7 more

Jeff Sadler is an Assistant Professor in the Department of Biosystems & Agricultural Engineering at Oklahoma State University, where he also serves as an Extension Specialist for Water Resources with OSU Extension. He leads the WaDE (Water Data and Education) Lab, focusing on data science and machine learning applications in water resources. Education: PhD in Civil and Environmental Engineering, University of Virginia (2019) MS in Civil Engineering, Brigham Young University (2015) BS in Civil Engineering, Brigham Young University (2013) Research Interests: Jeff’s research lies at the intersection of data science and water resources. He specializes in machine learning, particularly physics-guided and process-aware deep learning, for modeling stream temperature, water quality, flood dynamics, and hydrological forecasting. His work emphasizes real-time decision support, reproducible modeling, and integrating domain knowledge into data-driven systems. Recent Research Trends: His recent publications demonstrate a strong focus on advanced deep learning architectures (e.g., graph neural networks, recurrent models), data assimilation, multi-task learning, and surrogate modeling for environmental systems. Applications center on the Delaware River Basin and coastal Virginia, with implications for climate change adaptation and infrastructure resilience. Scientific Awards: No awards explicitly listed in the provided text. Advising and Grants: Jeff mentors graduate students and supervises master's and doctoral research. He is actively funded through multiple grants from the USDA, NOAA, and USGS, supporting projects in water quality monitoring, rural health, evapotranspiration forecasting, and integrated hydrological modeling. Labs and Teams: He leads the WaDE Lab, which develops data-driven tools for water resource education and management. He has collaborated extensively with researchers from the U.S. Geological Survey, University of Virginia, and other institutions on cyberinfrastructure, reproducible modeling, and environmental machine learning.

Edward W. ChanView profile

Professor

• Military Health Care
• Homeland Security
• Public Health Preparedness
• +6 more

Edward W. Chan is a Senior Operations Researcher and Professor of Policy Analysis at the RAND Corporation and RAND School of Public Policy. His work focuses on applying process mapping, failure mode analysis, and mathematical modeling to security and preparedness challenges across national security, homeland security, and public health emergency domains. Doctorate in Operations Research from Cornell University Expertise in Military Health Care, Homeland Security, Climate Change Risk Specializes in Decision Support Tools and Framework Development Research interests include: Military Medical Systems and Aeromedical Evacuation Critical Infrastructure Protection Climate Adaptation for National Functions Emergency Response Optimization Operational Logistics Recent work spans climate change impact on infrastructure (2023-2025), military recruitment strategies (2024), and post-disaster recovery systems (2020). He has developed frameworks for cybersecurity risk prioritization and climate adaptation strategies. Key educational background: Bachelor's, Master's, and Ph.D. in Operations Research from Cornell University

Amrita BasakView profile

Associate Professor

• Additive Manufacturing
• Metal 3D Printing
• Laser Powder Bed Fusion
• +6 more

Amrita Basak serves as an Associate Professor in the Department of Mechanical Engineering within the College of Engineering at Pennsylvania State University. Her research focuses on advancing metal additive manufacturing technologies, particularly for gas turbine applications. She maintains her laboratory in 233 Reber Building at University Park, PA. Her primary research interests center on laser-based additive manufacturing processes including Laser Powder Bed Fusion (L-PBF) and Laser Directed Energy Deposition (LDED). Specific expertise spans nickel-based superalloys, melt pool dynamics, microstructure-property relationships, fatigue behavior of additively manufactured components, and AI-driven process optimization. Her work addresses critical challenges in thermal distortion control, surface roughness effects, and high-temperature performance of turbine components. Analysis of her recent publications reveals strong emphasis on integrating machine learning with experimental methods to optimize additive manufacturing processes. Key trends include Gaussian process regression for melt pool modeling, Bayesian optimization for thermal management, reinforcement learning for parameter control, and multi-fidelity modeling approaches. Her research bridges fundamental materials science with practical engineering applications in aerospace and energy sectors. Scientific Awards: NSF CAREER Award (2024) for gas turbine research DARPA Young Faculty Award (2022) for multi-laser additive manufacturing Materials Research Institute Roy Award (2023) Professor Basak actively mentors graduate students including R. Pal, N. Menon, and A. Kushwaha who appear as first authors on multiple publications. Her research is supported by significant grants including NSF CAREER funding, Office of Naval Research grants (2024), and DARPA funding. Current projects include 'On-Demand 3D Printing of Food-Grade Biopolymer-Encapsulated Ferrate(VI) for Individualized and Equitable Access to Drinking Water' and metal additive manufacturing research for gas turbine hot section components.