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Laxman DhulipalaView profile

Assistant Professor

• Parallel Algorithms
• High-Performance Computing
• Graph Algorithms
• +5 more

Laxman Dhulipala is an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park, and a research scientist at Google Research. He holds a Ph.D. from Carnegie Mellon University, advised by Guy Blelloch, and was a postdoc at MIT under Julian Shun. His research focuses on scalable parallel algorithms, high-performance graph processing, and models of computation for emerging hardware. Dhulipala has contributed to parallel graph clustering, dynamic graph algorithms, and practical implementations of parallel computational geometry. Affiliations: University of Maryland, College Park (Department of Computer Science) UMIACS (University of Maryland Institute for Advanced Computer Studies) Google Research (Graph Mining team) Education: Ph.D. in Computer Science, Carnegie Mellon University (2020) B.S. in Computer Science, Carnegie Mellon University (2014), with University Honors and Phi Beta Kappa. Research Interests: Efficient parallel algorithms for static, dynamic, and streaming graphs; parallel clustering techniques; models of computation for emerging hardware; scalable static/dynamic/streaming graph algorithms. His work bridges theory and practice, emphasizing algorithm design, system implementation, and performance optimization. Awards and Honors: 2024 ACM Paris Kanellakis Theory and Practice Award 2023 Allen Newell Award for Research Excellence 2022 Best Paper at SPAA 2019 Distinguished Paper at PLDI 2018 Best Paper at SPAA Grants: NSF SHF: REU Site (Co-PI) NSF SHF: Scalable Graph-Based Clustering (PI) NSF SATC: Differential Privacy in Graph Mining (Co-PI) Teaching: Recent courses include CMSC858N (Scalable Parallel Algorithms), CMSC451 (Design and Analysis of Algorithms), and workshops on parallel computing and graph algorithms. Labs and Teams: He leads research in parallel graph algorithms and systems at the University of Maryland, collaborating with Google Research and MIT on projects like the Graph-Based Benchmark Suite (GBBS) and ParGeo library.

Wenbo LiuView profile

Assistant Professor

• Additive Manufacturing
• Composite Materials Design
• Food Engineering
• +5 more

Wenbo Liu is an Assistant Professor in the Department of Agricultural and Biological Engineering at Mississippi State University, affiliated with the Coastal Research and Extension Center. He holds a PhD in Mechanical Engineering from Stevens Institute of Technology, an MS from the same institution, and a BS in Mechanical Engineering from Taiyuan University of Technology, China. His research focuses on additive manufacturing, composite materials, fluid mechanics, and machine design, with particular emphasis on seafood processing machines, vegan seafood 3D printing, and waterjet cutting systems. Dr. Liu's expertise includes the development of automated food processing systems, material extrusion additive manufacturing for silicone composites, and energy harvesting technologies. His work bridges mechanical engineering principles with food industry applications, addressing challenges in seafood singulation, fish cutting automation, and sustainable material utilization. He actively recruits PhD students to advance research in waterjet cutting, fish processing automation, and food 3D printing technologies. His research portfolio includes collaborations with the Mississippi Agricultural and Forest Experiment Station and involvement with neural engineering initiatives. He maintains certifications in structural inspection from the International Code Council, enhancing his contributions to industrial and infrastructure-related projects. Dr. Liu's lab at the Coastal Research and Extension Center focuses on innovative seafood processing solutions and advanced manufacturing techniques. His interdisciplinary approach combines mechanical engineering, materials science, and computer vision to drive advancements in food industry automation and sustainable production methods.

Bruce Z. GaoView profile

Professor

• Optical Imaging
• Microfabrication
• Cell-ECM Interaction
• +3 more

Bruce Z. Gao is a Professor and the South Carolina SmartState Endowed Chair in Biofabrication Engineering at Clemson University's Department of Bioengineering. His primary affiliations include the College of Engineering, Computing and Applied Sciences. He holds a Ph.D. in Biomedical Engineering from the University of Miami (1999). His research focuses on optical imaging , microfabrication , and cell-ECM interactions , with applications in biophotonics and engineered microenvironments. Education: Ph.D. Biomedical Engineering, University of Miami, 1999 Research Highlights : - Biophotonics Lab : Develops coherence-based imaging (OCT, digital holography), nonlinear optics, and laser tweezers for cell manipulation. - Microfabrication : Creates lab-on-a-chip systems, microfluidics-based cell sorting, and engineered microenvironments for studying cell development and interactions. - Cell-ECM Interactions : Investigates cardiac cell electrical-mechanical coupling and neural guidance in microfabricated environments. Recognition : Recipient of the SmartState Endowed Chair in Biofabrication Engineering Lab & Teams : Directs the Biophotonics Lab, which integrates advanced imaging and microfabrication technologies to study cell behavior in controlled environments. Collaborates on projects involving stem cell development, cancer-cell microniche engineering, and tissue-culture models.

Sabine DoebelView profile

Assistant Professor

• Developmental Psychology
• Executive Function Development
• Cognitive Control
• +4 more

Sabine Doebel is an Assistant Professor of Psychology at George Mason University, leading the Developing Minds Lab. Her research focuses on executive function development in children, exploring how cognitive control, self-regulation, and play shape goal-directed behavior. She holds a PhD from the University of Minnesota and completed postdoctoral work at the University of Colorado Boulder. Dr. Doebel’s work emphasizes interdisciplinary approaches, examining executive function’s role in social, behavioral, and academic outcomes. She advocates for open science practices to enhance reproducibility and accessibility in developmental research. Her research spans topics like play’s cognitive benefits, cultural influences on self-control, and gender differences in task persistence. Key contributions include meta-analyses of executive function measures, critiques of replication studies (e.g., revisiting the Marshmallow Test), and investigations into how home environments and activities impact child development. Her lab’s work is funded by the National Institutes of Health and NSF initiatives promoting open science. Dr. Doebel supervises graduate students, including Nicole Stucke, and actively communicates research through TEDx talks, media engagement, and collaborative projects. She prioritizes translating findings into practical insights for education and parenting practices.

Chung Hoon LeeView profile

Associate Professor

• Micro/Nano Device Fabrication
• Thermoelectric Materials
• Bio-MEMS
• +2 more

Dr. Chung Hoon Lee is an Associate Professor in the Department of Electrical and Computer Engineering at Marquette University's Opus College of Engineering, where he directs the Nanoscale Devices (MNDL) Lab. He holds a PhD in Electrical and Computer Engineering from the University of Wisconsin-Madison and completed postdoctoral fellowships at Cornell University and Columbia University. His research encompasses micro/nano device fabrication, thermoelectric materials, bio-MEMS, and microfluidic systems. Key focus areas include: Thermal analysis of bio/chemical molecules Atomic force microscopy probe development Ultrasonic actuators and sensors Nanoscale energy harvesting systems Analysis of his recent publications reveals strong emphases on environmental sensing (40% of publications) and nanoscale thermal systems (30%), with emerging work in machine learning applications for sensor networks. Award highlights: William and Nancy Stemper Faculty Scholars Award (2014) Way Klingler Young Scholar Award (2013) IEEE UFFC Student Paper Competition Winner (2002) He currently advises 3 graduate students and has graduated 4 MS/PhD students. His research has been supported by $1.2M+ in grants from NSF, DARPA, and DoD, including projects on micro-calorimeters for water quality monitoring and nanowire thermoelectric materials. Dr. Lee leads the MNDL Lab which focuses on MEMS/NEMS devices for biomedical and environmental applications, collaborating with industry partners including Asylum Research Inc.

Linda BorghesaniView profile

Part-Time Lecturer

• Human Factors
• user interface design
• user research
• +13 more

Linda Borghesani is a Part-time Lecturer in Mechanical Engineering at Tufts University, teaching Human Factors since 2016 while concurrently serving as Principal User Experience Researcher at Constant Contact. Her dual roles bridge academic theory and industry practice in user experience design for digital marketing tools targeting small businesses. Education MS, Tufts University, 1990 Research Interests With over 30 years of professional expertise, her work centers on human-computer interaction and user-centered design methodologies. Key focus areas include: Usability testing and heuristic evaluation frameworks Customer journey mapping and persona development Information architecture through card sorting studies Strategic insights from competitive benchmarking Mobile interface optimization and diary study techniques Design thinking workshops for innovation Professional Impact Holding over 30 patents and presenting at numerous conferences, she integrates cutting-edge industry practices into her mentorship. Her teaching emphasizes creating purposeful, usable designs while preparing students for UX specialist roles through real-world case studies and hands-on research methodologies.

• Molecular Cell Biology
• Protein S-acylation
• Enzyme Regulation
• +3 more

Professor Jennifer Greaves is a UKRI Future Leaders Fellow and Professor of Molecular Cell Biology at Coventry University's Centre for Health and Life Sciences. Her pioneering research investigates the regulation of protein S-acylation (palmitoylation) by metabolic enzymes, using interdisciplinary approaches combining cellular, molecular, and chemical biology techniques. Key discoveries include mechanistic insights into fatty acid selectivity of zDHHC S-acyltransferases and the functional consequences of palmitoylation on protein trafficking. Greaves leads projects on ABHD16A/ABHD12 serine hydrolases and their roles in disease pathogenesis. Her laboratory employs cutting-edge methods including click chemistry, fluorescence imaging, and proteomics to map lipid-protein interactions. Publications demonstrate sustained focus on enzyme-substrate specificity and membrane dynamics, with recent work expanding into inhibitor design. Honors include the Academy of Medical Sciences Springboard Award and editorial roles at PLOS One. She actively promotes scientific outreach through Biochemical Society initiatives.

• Neuroscience
• Vision Science
• Biophysics
• +3 more

Saad Idrees is a Research Fellow in the Department of Physics at York University, Faculty of Science. His research focuses on the neural and biophysical mechanisms underlying visual perception, particularly saccadic suppression and retinal computation. He explores how visual pathways and neural adaptation influence perceptual dynamics, with applications in computational neuroscience and vision science. Key research interests include the interplay between retinal processing and higher-order visual functions, the role of contrast encoding in visual pathways, and the biophysical foundations of saccadic suppression. His work bridges neurobiology and physics, using experimental and computational methods to uncover fundamental principles of vision. Recent publications emphasize retinal contributions to saccadic suppression, neural adaptation mechanisms in artificial networks, and tools for analyzing neural data. His research has implications for understanding visual disorders and developing assistive technologies. No scientific awards are explicitly mentioned in the provided text. Advising and grant details are not available. Current affiliations include the Department of Physics at York University's Keele, Glendon, and Markham campuses.

Richard JerousekView profile

Lecturer

• Planetary Rings
• Ring Dynamics
• Planetary Formation
• +1 more

Richard Jerousek is an Associate Lecturer and Observatory Director at the University of Central Florida's Department of Physics. He earned his Ph.D. in Physics from UCF in 2018 and maintains office PSB 132. His research focuses on planetary ring dynamics, particularly analyzing Cassini mission data to study particle characteristics and unresolved ring structures at Saturn. Current investigations include ring seismology, occultation statistics, and particle size distributions. Publications consistently address Saturn's ring phenomena through advanced data analysis techniques. Recent works focus on UVIS occultation statistics, Monte Carlo simulations of ring structures, and resonance effects in Saturn's rings, with emerging interest in Uranus ring systems.

José Nuño-LedesmaView profile

Assistant Professor

• Agricultural Economics
• Labor Economics
• Contract Theory
• +6 more

José Nuño-Ledesma is an Assistant Professor in the Department of Food Agricultural and Resource Economics at the Ontario Agricultural College, part of the University of Guelph. His research focuses on pricing mechanisms, labor economics, and regulatory interventions within agricultural and broader economic contexts. He holds a Ph.D. in Agricultural Economics from Purdue University. His work bridges theoretical frameworks with applied issues in food systems, labor markets, and policy design. Education : Ph.D. in Agricultural Economics, Purdue University, IN, USA Research Interests : His primary areas include pricing strategies in food retail, labor market dynamics in Mexico, contract theory, and the impacts of regulatory policies like taxes and portion caps. He also explores development economics, food policy, and natural resource management. Current projects include analyzing labor market matching in Mexico and evaluating regulatory alternatives for sustainable practices in farmland rentals. Professional Links : Visit his website , LinkedIn , GitHub , Google Scholar , and ORCID for further details.

Li ShengView profile

Associate Professor

• Discrete Mathematics
• Graph Theory
• Bioinformatics
• +4 more

Dr. Li Sheng is an Associate Professor in the Department of Mathematics at Drexel University. She holds a PhD in Operations Research from Rutgers University (1998), an MS in Statistics from Rutgers (1996), and prior degrees from Chinese academic institutions. Her research focuses on discrete mathematics, graph theory, and their applications in biology, social networks, and multicomputer systems. Education: PhD, Operations Research, Rutgers University, 1998 MS, Statistics, Rutgers University, 1996 MS, Operations Research, Chinese Academy of Sciences, 1991 BSc, Mathematics, National University of Defense Technology, 1988 Research Interests: Graph Theory (phylogeny graphs, probe interval graphs) Applications in bioinformatics (DNA mapping) Social network analysis (role assignment models) Network routing algorithms (deadlock-free protocols) Recent Work: Dr. Sheng has pioneered tagged probe interval graph models for DNA mapping and developed role assignment frameworks for social network analysis. Her recent contributions include deadlock-free routing algorithms for multicomputer systems and combinatorial applications of quadratic residues. She maintains an active publication record in top journals like Journal of Combinatorial Optimization and IEEE Transactions on Computers . Professional Activity: She has collaborated on over 25 peer-reviewed publications and technical reports, including work on phylogeny numbers, prefix-based routing schemes, and algorithmic sorting in tournaments. Her research bridges theoretical mathematics with practical applications in computing and biology.

• Circular Food Supply Chains
• Digitalization of Transport
• Logistic Services
• +2 more

Dr. Ebru Surucu Balci is an Assistant Professor at the University of Bradford's School of Management within the Faculty of Management, Law & Social Sciences. She joined in September 2019 after earning her PhD in Maritime Business Administration and serving as a research assistant for five years. Her research bridges circular economy principles with supply chain innovation, focusing on food systems resilience and digital transformation in logistics. Her educational background includes a PhD in Maritime Business Administration, where she developed expertise in sustainable supply chain management and transport logistics. Research Focus: Dr. Balci investigates how digital technologies and circular economy models can transform supply chains, with emphasis on: Food supply chain resilience against geopolitical disruptions Blockchain applications in maritime logistics Social media's role in stakeholder engagement Multi-criteria decision frameworks for sustainability Publication Trends: Her recent articles demonstrate a consistent focus on sustainability challenges in global supply chains, particularly through: Development of resilience frameworks for food systems Exploration of digital solutions like blockchain in maritime logistics Analysis of waste reduction strategies in seasonal and perishable goods Methodological innovations in sustainability performance measurement Professional Recognition: While specific awards aren't detailed, her publication record in high-impact journals like Journal of Cleaner Production and Computers in Industry reflects significant scholarly impact.

Xiaojing WangView profile

Associate Professor

• Bayesian modeling
• Latent variable models
• Item response models
• +5 more

Xiaojing Wang is an Associate Professor in the Department of Statistics at the University of Connecticut's College of Liberal Arts and Sciences. She holds multiple affiliations including the Institute for Collaboration on Health, Intervention, and Policy (InCHIP), the Connecticut Institute for the Brain and Cognitive Sciences (IBACS), and the Center for Environmental Sciences and Engineering. Education: Ph.D. in Statistics and M.A. in Economics from Duke University (2012) M.S. in Probability and Mathematical Statistics from Chinese Academy of Sciences (2008) B.S. in Information and Computational Science from Hunan University (2005) Her research focuses on Bayesian methodologies with applications spanning neural decoding, environmental science, psychometrics, and computational biology. She develops novel statistical models for high-dimensional data including latent variable frameworks for neural spiking activity and dynamic item response theory for educational testing. Her work integrates machine learning with traditional statistical inference to address complex problems in interdisciplinary domains. Wang's publications demonstrate a consistent focus on Bayesian computation and model development, with significant contributions to Gaussian process methodologies, subgroup analysis in clinical applications, and ecological forecasting. Recent work shows increasing emphasis on neural data science and computationally intensive methods for high-dimensional inference. Awards and Honors: NSF Faculty Early Career Development (CAREER) Award (2019) Elected Member of International Statistical Institute (ISI) (2017) Jeffrey’s Excellence Prize for Best Methodological Poster (2013) As a statistical consultant, she advises through UConn's Statistical Consulting Services. Her methodological innovations support applications across health interventions, cognitive science, and environmental research through interdisciplinary collaborations.

Eduardo Castelló FerrerView profile

Assistant Professor

• Robotics
• Blockchain Technology
• Swarm Robotics
• +3 more

Eduardo Castelló Ferrer is an Assistant Professor of Robotics & AI at IE University (Spain), affiliated with the School of Science and Technology. He holds a PhD in Robotics Engineering from Osaka University (Japan) and was a Marie Curie Fellow at MIT Media Lab (USA). His research integrates robotics with blockchain technology to enhance security, autonomy, and cooperation in robotic systems. He leads the Cyber-Physical (CyPhy) Life research group and teaches courses on robotics, blockchain, and AI. Education: PhD in Robotics Engineering, Osaka University (2016) M.Eng. in Robotics Engineering, Osaka University (2011) BSc in Intelligent Systems, University of Portsmouth (2007) Research Interests: Dr. Castelló focuses on secure decentralized robotics systems, economic autonomy for robots, and blockchain applications in swarm robotics. His work addresses challenges like Byzantine fault tolerance, trustless collaboration, and autonomous decision-making. Notable projects include Gaka-chu (a self-employed robot artist) and iTrash (decentralized waste management). Awards: Marie Curie Fellowship (MIT Media Lab, 2016–2019) Teaching: Courses include Robotics and Automation, Blockchain & Fintech, and Technology Trends in Customer Experience. He emphasizes practical skills using tools like ROS and blockchain frameworks. Labs & Projects: Active projects include urban swarm systems, robotic economic autonomy, and secure multirobot cooperation. His work is published in top journals like Science Robotics and IEEE Transactions on Robotics .

Marine FrouinView profile

Assistant Professor

• Luminescence Dating Techniques
• Archaeological Chronology
• Human Evolution
• +3 more

Marine Frouin is an Assistant Professor in the Department of Geosciences at Stony Brook University, where she leads the Luminescence Dating Research Laboratory. Her research focuses on developing and applying luminescence techniques to establish chronological frameworks for archaeological and geological materials. She holds a Ph.D. from the University of Bordeaux and completed postdoctoral research at the University of Oxford and Technical University of Denmark before joining Stony Brook in 2020. Her work emphasizes luminescence process understanding, extending dating methods to the Plio-Pleistocene, and investigating human evolution in Eurasia and Africa. Key projects include the chronology of Neanderthal burials (e.g., Shanidar Cave), Arabian Peninsula hominin expansions, and the Middle-Upper Paleolithic transition in Georgia. She is affiliated with the Turkana Basin Institute and maintains a research associate role at the University of Oxford. Frouin’s lab, established in 2022, employs state-of-the-art instrumentation to address unresolved questions in luminescence chronology. She actively mentors undergraduates, graduate students, and postdocs in interdisciplinary research. Notable contributions include refining K-feldspar dating protocols, resolving technical artifacts in IR-RF measurements, and integrating multi-method luminescence approaches for complex archaeological deposits. Her publications span luminescence technique validation, paleoenvironmental reconstruction, and chronological studies of key hominin sites. Current research trends emphasize technological innovations in dating methods, high-altitude archaeological chronologies, and genetic-environmental interactions in Neanderthal populations. Grants and collaborations include funding for lab equipment and international fieldwork. She is developing a new generation of dating protocols tailored to young sediments and arid environments, with applications to colonial-era and historical sites alongside prehistoric contexts.