Find Academic Supervisors

• Synthetic Biology
• Polyketide Synthases
• Bioengineering
• +5 more

Dr. Constance Bailey is a Senior Lecturer and group leader in the School of Chemistry at the University of Sydney . She holds affiliations with the Centre for Drug Discovery Innovation and the Sydney Nano Institute . Her research focuses on synthetic biology applications of polyketide synthases, cell-free protein synthesis, and metabolic engineering for natural product discovery. Bailey earned a B.A. from Reed College (2010), a PhD from the University of Texas at Austin (2015), and completed a NIH Postdoctoral Fellowship at UC Berkeley and Lawrence Berkeley National Laboratory (2016-2018). Research Interests Her work integrates in vitro systems with microbial engineering to advance biosynthetic pathway design. Key areas include: - Engineering polyketide synthases for targeted biofuel/chemical production - Optimizing cell-free protein synthesis platforms for nonribosomal peptides - Investigating metabolic crosstalk in prokaryotes - Discovering novel antibiotics via actinomycete genomics Grants & Awards - 2024: SABA Program Funding - 2023: Sydney ID Seed Grant for antibiotic discovery - NIH Postdoctoral Fellowship (2016-2018) Lab & Collaborations Bailey's CBBaileyLab develops synthetic biology tools for sustainable chemical production. Her team collaborates with institutions like the Joint BioEnergy Institute and the Lawrence Berkeley National Lab.

Matthew LewisView profile

Associate Professor

• Emerging Technologies
• Computer Graphics
• Generative Design
• +3 more

Matthew Lewis is an Associate Professor in the Department of Design at The Ohio State University with joint appointments in the Advanced Computing Center for the Arts and Design (ACCAD) and Translational Data Analytics Institute (TDAI). His research explores the intersection of emerging technologies, computer graphics, and generative design, with applications in visualization, digital art, and interactive tools. Education: PhD, Computer and Information Science, The Ohio State University, 2001 MS, Computer and Information Science, The Ohio State University, 1993 BSE, Computer Science Engineering & BA, Philosophy, University of Pennsylvania, 1991 His work focuses on developing procedural animation, virtual environments, and augmented reality applications. Key projects include digital humanities prototyping, neighborhood disorder visualization using VR, and silent film reconstruction through AR technology. Teaching: Courses include Graduate Design Studio, Procedural Animation, and Programming Concepts for Artists. His pedagogical approach emphasizes collaborative and technology-integrated studio learning.

• Human-Computer Interaction
• Artificial Intelligence
• Creativity Support Tools
• +3 more

Joel Chan is an Affiliate Assistant Professor in the Department of Computer Science at the University of Maryland, specializing in human-computer interaction and artificial intelligence research with applications in scholarly communication and design innovation. His work bridges computational systems and human cognitive processes to enhance knowledge work. His research portfolio emphasizes: Scholarly sensemaking and knowledge synthesis infrastructure Generative AI for hypothesis exploration and analogical reasoning Cross-disciplinary translation tools using computational linguistics Biologically inspired design systems and creativity support Human-AI collaboration in visual data analysis and programming Recent publications (2023-2025) demonstrate a decisive shift toward integrating large language models into scholarly workflows, particularly for structured hypothesis exploration and cross-domain analogical inspiration. His systems like CausalMapper and AnalogiLead exemplify practical implementations that transform theoretical frameworks into usable tools for researchers and designers. Building on foundational work in analogical innovation (2010-2022), Chan's research trajectory shows consistent evolution from studying example-based problem-solving to developing AI-augmented environments that mitigate cognitive limitations in complex knowledge tasks, with significant implications for academic practice and creative industries.

Paul J. HangesView profile

Professor

• Cross-Cultural Leadership
• Organizational Climate
• Research Methodology
• +3 more

Paul J. Hanges is a Professor of Industrial/Organizational Psychology at the University of Maryland’s Psychology Department and academic director of the MPS in Industrial/Organizational Psychology program. He holds a PhD (1986) and MA (1984) from the University of Akron, and a BA (1980) from New York University. His research focuses on cross-cultural leadership, human resource practices, and measurement methodologies, with notable contributions through the GLOBE project, examining leadership effectiveness in 62 societies. Key awards include the M. Scott Myers Award (2004, 2011) and the 2015 Leadership Book Award. His work has been funded by the Hewlett Foundation, Democracy Fund, and U.S. Army Research Institute. He also served as Professor of Global Leadership at Durham University (2020). Education: PhD (University of Akron, 1986), MA (University of Akron, 1984), BA (New York University, 1980) Research Themes: Cross-cultural leadership dynamics, ethical leadership, organizational climate, and dynamic systems analysis Major Projects: GLOBE Study (global leadership effectiveness), ClimateQUAL framework His publications explore leadership behavior’s impact on organizational effectiveness, with a focus on cultural contingencies. Awards include fellowships in major psychological associations. Current affiliations include the University of Maryland and ongoing GLOBE research.

Anubhav TripathiView profile

Professor

• Biomedical Engineering
• Microfluidics
• Biomaterials
• +7 more

Anubhav Tripathi is a Professor of Engineering and Director of Biomedical Engineering at Brown University's School of Engineering. His work focuses on developing scalable bioengineering solutions for diagnostics and life sciences, emphasizing microfluidics, biomaterials, and high-throughput screening. His lab, the Tripathi Biomedical Engineering Group, pioneers innovations in sample preparation, single-cell analysis, and point-of-care diagnostics. Research interests include understanding complex biomaterials through microfluidic platforms, proteomics, and lab-on-a-chip applications. Key technologies developed include electric-field-assisted sample preparation, automated liquid handling systems, and placental lipid bilayer models for molecular interaction studies. Recent work spans opioid quantification, amyloid-beta detection, and drought-resistant maize screening in Nepal. Publications highlight advancements in nucleic acid analysis, cell dissociation techniques, and diagnostic automation. His interdisciplinary approach bridges engineering principles with medical applications, addressing challenges in genetic testing, infectious disease detection, and reproductive health. Collaborative efforts extend to agricultural research, demonstrating versatility in applying microfluidic expertise to diverse domains. Contact details include his email Anubhav_Tripathi@brown.edu and lab website at tripathi_lab@brown.edu. His lab is located at 91 Waterman St, Providence, RI 02912.

Gang XiaoView profile

Professor

• Condensed Matter Physics
• Nanotechnology
• Spintronics
• +3 more

Gang Xiao is the Ford Foundation Professor of Physics and Professor of Engineering at Brown University, currently serving as Chair of the Physics Department. His research focuses on condensed matter physics, nanotechnology, spintronics, and superconductivity. He holds affiliations with the School of Engineering and the Department of Physics. Xiao has received prestigious awards including the Alfred P. Sloan Fellowship and the NSF Young Investigator Award. He leads research in magnetic materials and devices, with contributions to magnetic tunnel junctions, skyrmion-based computing, and spintronic applications. His work integrates theoretical and experimental approaches, emphasizing device innovation and material characterization. Teaching includes foundational physics courses and advanced topics in condensed matter physics. Major achievements include pioneering studies on magnetic vortex sensors, quantum oscillations in CrO2 films, and noise analysis in magnetic devices. He directs the Center for Nanoscience and Soft Matter and collaborates on interdisciplinary projects combining materials science with electronics. Xiao’s research has practical implications for sensor technology, energy-efficient computing, and advanced materials development.

• Workforce Development
• Construction Education Technology
• Building Information Modeling (BIM)
• +3 more

Dr. Jason D. Lucas is an Associate Professor and Undergraduate Program Director in the Nieri Department of Construction and Real Estate Development at Clemson University's College of Architecture, Art and Construction. His academic roles include teaching, research, and service leadership in construction education and industry partnerships. Education: Ph.D. in Environmental Design and Planning (Virginia Tech, 2012); M.S. in Building Construction (Virginia Tech, 2008); B.Arch (New Jersey Institute of Technology, 2004). Professional experience includes roles in architecture, construction management, and public sector infrastructure projects. Research focuses on workforce development, BIM lifecycle integration, construction safety, and residential construction efficiency. Notable projects include the Roofing Industry Center (Roofing Alliance Grant) and HablaSeguro safety app development (Jobsite Safety Institute). He advises Clemson’s NAHB student chapter and leads the AIC Publications Committee. Key awards include the AIC Award (2015) and multiple grants from industry organizations. Grants total over $1.2M, focusing on workforce training, safety innovation, and BIM applications. Active in professional roles like NSF panel reviews and journal editing. Teaching spans residential construction management, emerging technologies, and critical thinking. Courses emphasize experiential learning and technology integration. Service includes leadership in university curriculum committees, bylaws drafting, and interdisciplinary initiatives like drone program development.

• Human Factors
• Human-Computer Interaction
• E-Health
• +6 more

John Paulin Hansen is a Professor at the Technical University of Denmark (DTU), affiliated with the Department of Technology, Management and Economics under the Technology and Business Studies school. His research focuses on human factors, human-computer interaction, and assistive technologies, particularly in gaze interaction and rehabilitation robotics. He holds a Ph.D. from Aarhus University (1992) and has led research groups at institutions like Risø National Laboratory and the IT University of Copenhagen. His work emphasizes improving quality of life for individuals with motor disabilities through innovations like The Eye Tribe and GazeIT lab initiatives. Research Interests include: Eye-tracking technology and gaze interaction systems Exoskeletons and AR interfaces for stroke rehabilitation Human digital twins in healthcare Telepresence robotics accessibility Brain-computer interfaces (BCI) Key Achievements: Founded EU’s COGAIN network, co-created The Eye Tribe startup (acquired by Facebook/Oculus), and leads the GazeIT lab supported by the Bevica Foundation. His projects address sustainable development goals through inclusive technology solutions. Awards: Vanførefondens Forskerpris 2018 Multiple Best Paper Awards (2019–2022) Reviewers' Favourite Best Paper Award at DESIGN2022 Advising & Grants: Mentor to startups like The Eye Tribe and Orbital (acquired by GN Audio). Current projects include EU Horizon 2020 Rehyb initiative for AR exoskeleton interfaces and Human Digital Twin applications in rehabilitation. Labs/Teams: GazeIT lab pioneers assistive tech innovations, collaborating with LEGO and Serious Games Interactive. Active in developing inclusive design pedagogy and digital twin methodologies for healthcare.

Ehsan EsfahaniView profile

Associate Professor

• Artificial Intelligence in Engineering
• Human-Machine Interaction
• Robotics
• +4 more

Ehsan Esfahani is an Associate Professor and Director of Graduate Studies in the Department of Mechanical and Aerospace Engineering at the University at Buffalo's School of Engineering and Applied Sciences. He is affiliated with the Stephen Still Institute for Sustainable Transportation and Logistics. His research focuses on AI-driven robotics, human-machine interaction, and bio-mechatronics systems. Education: PhD in Mechanical Engineering, University of California, Riverside (2012) MS in Electrical Engineering, University of California, Riverside (2012) MS in Mechanical Engineering, University of Toledo (2007) BS in Mechanical Engineering, Isfahan University of Technology (2004) Research Interests: Brain-computer interfaces for CAD/robotic systems Human-robot collaboration and neuroergonomics Bio-inspired robotics and tactile sensing Swarm intelligence and multi-agent systems Variable stiffness actuators for safe manipulation Key Contributions: Esfahani's work bridges AI with physical systems, emphasizing real-time human-in-the-loop control. Recent trends in his publications focus on scalable swarm robotics, human-swarm interaction dynamics, and adaptive gripper designs for confined environments. His neurophysiological approaches assess cognitive load in collaborative tasks, enhancing system safety and efficiency. Awards: American Power Public Associations DEED Scholarship (2012) UC Riverside Dissertation Year Fellowship (2011–2012) Lung-Wen Tsai Memorial Scholarship (2010) Advising & Labs: Directs the HILS Lab (Human-Inspired Learning Systems), exploring human-centered robotics. Active in grants focusing on AI-driven factories, cognitive modeling in surgery, and variable stiffness mechanisms. Collaborates on projects like SHaSTA (Human-Swarm Team Simulator) and MyoTrack rehabilitation systems. Labs & Teams: HILS Lab: Human-AI collaboration frameworks Stephen Still Institute: Transportation logistics and sustainability

Trevor CickovskiView profile

Assistant Professor

• Bioinformatics
• Microbiome Analysis
• GPU Computing
• +6 more

Trevor Cickovski is an Assistant Professor at Florida International University's Knight Foundation School of Computing and Information Sciences, with a focus on bioinformatics and computational biology. Holding Graduate Faculty status, he specializes in microbiome analysis, GPU computing, network analysis, and Unix systems. His academic journey began with a Ph.D. in Computer Science and Engineering from the University of Notre Dame (2008). Current roles: Associate Director, Assistant Teaching Professor Research affiliations: Bioinformatics Research Group (BioRG), ACM, IEEE Dr. Cickovski's research spans microbiome analysis, software engineering, and GPU-accelerated computing. His work explores the microbiome's role in neuropsychiatric disorders (ADHD), genetic conditions (A1AD), respiratory diseases (COPD), and environmental phenomena (red tides) through multi-omics integration. His publications in Journal of Medical Microbiology , Bioinformatics , and IEEE/ACM TCBB reflect strengths in plugin-based software frameworks (PluMA), network analysis, and computational pipeline optimization. Awards include multiple teaching excellence honors and industry funding from NVIDIA. 2020 Graduate Faculty Status 2019 FIU CAT Fellow 2019 FIU Faculty Teaching Award 2017 Teaching Excellence Award 2014 Promotion to Associate Professor As lead developer of PluMA, he enables cross-language plugin development for bioinformatics workflows. Funded by NIJ and NSF, his projects apply machine learning to epigenetics and computational approaches to vaccine discovery.

Debra DavisView profile

Academic

• Human-Computer Interaction
• Applied Usability Studies
• Cognitive Psychology
• +2 more

Debra Davis is an Associate Teaching Professor at Florida International University , affiliated with the School of Computing and Information Sciences (2010–present) and serving as an Adjunct Faculty Member in the Department of Psychology (2010–present). She holds a Ph.D. in Cognitive Developmental Psychology (2004) and advanced degrees in Computer Science (2000) and Psychology (1996), with a minor in Statistics. Education : Ph.D., Cognitive Developmental Psychology (minor: Statistics), University of Texas at Austin (2004) M.S., Computer Science, Florida International University (2000) M.A., Developmental Psychology (minor: Statistics), University of Texas at Austin (1996) B.A., Psychology (minor: Computer Science), Florida International University (1993) Her research spans Human-Computer Interaction , Applied Usability Studies , and geospatial data systems, with expertise in real-time data integration, 3D visualization, and educational technology. She has contributed to spatial data platforms like Terrafly and advised on usability for grants and projects. Recent publications (1998–2001) focus on geospatial data systems, real-time search algorithms, and 3D satellite imagery. Awards include multiple Phi Kappa Phi Honor Society nominations, a research grant at UT Austin, and Dean’s List recognition. Professional Roles : Faculty Associate, NSF Industry-University Cooperative Research Center (2010–present) Principal Investigator, All Stars Effectiveness Research Project (2007–2008) Program Evaluator, Read 2 Succeed 21st Century Grant (2009–2010) Consultant, Collins Center of Public Policy (2008) Grant Reviewer for Miami-Dade County, Early Learning Coalition, and CASA (2005–2009)

Aditya Shekhar NittalaView profile

Assistant Professor

• Human-Computer Interaction
• Physical Computing
• Tangible User Interfaces
• +5 more

Aditya Shekhar Nittala is a tenure-track Assistant Professor in the Department of Computer Science at the University of Calgary, directing the DIFF Lab and affiliated with the Interactions Lab. Previously, he was a PhD student at the Max Planck Institute for Informatics and Saarland University, and conducted research at Xerox Research Center India. His research focuses on blending materials science, electrical engineering, and HCI to create novel interactive devices embedded in daily environments, particularly epidermal computing and sustainable fabrication methods. Education: PhD in Computer Science, Max Planck Institute for Informatics/Saarland University (2022) MSc in Computer Science, University of Calgary (Canada) Bachelor's in Computer Science & Engineering, M.S. Ramaiah Institute of Technology (India) Research Interests: Epidermal devices for on-body interaction Biodegradable materials for interactive prototyping Computational design tools for physiological sensors Ubiquitous computing through wearable interfaces Key Contributions: Developed PhysioSkin and Interactive Bioplastics for eco-friendly wearable devices Pioneered SoloFinger gesture recognition system Epidermal computing frameworks balancing tactile sensitivity and device robustness Awards: UIST 2022 Best Paper & Demo Awards NSERC Discovery Grant (2023) NFRF Award (2023) Grants & Labs: Directs the DIFF Lab (Devices, Interaction, Fabrication for the Future) Member of Interactions Lab at UCalgary Received funding for epidermal computing and sensor optimization projects Future Work: Expanding into interactive sports devices, gaming interfaces, and medical applications of epidermal sensors.

Hermann SeitzView profile

Professor

• Microfluidics
• Additive Manufacturing
• Biomedical Engineering
• +3 more

Prof. Dr.-Ing. Hermann Seitz is a Professor of Microfluidics at the University of Rostock's Department of Mechanical Engineering and Naval Architecture. His career spans roles at the Technical University of Munich, where he studied electrical engineering (diploma, 1997) and earned his PhD in 2002, to leading the Rapid Prototyping group at Bonn's Caesar Research Center (2001-2006), and his current position since 2018. His research focuses on microfluidics and additive manufacturing for biomedical applications , particularly 3D printing of hydrogels , piezoelectric materials , and bioactive scaffolds . Alumni: Technical University of Munich (Electrical Engineering, 1997) Current Affiliation: University of Rostock, Faculty of Mechanical Engineering and Naval Architecture Former Roles: Research Assistant (TUM, 1997-2001), Rapid Prototyping Group Leader (Caesar Research Center, 2001-2006) Professor Seitz's research integrates biomedical engineering and materials science to develop medical devices, implants, and tissue engineering solutions. Key areas include 3D printing for drug delivery systems , bioactive composites , and laser processing . His recent publications emphasize bioresorbable implants , stem cell stimulation , and machine learning in additive manufacturing . His 15 most recent articles (2025) explore topics such as superhydrophobic surfaces , cartilage regeneration , conductive adhesives in FFF , and bioactive hydrogel coatings , reflecting interdisciplinary work at the intersection of materials science and medical technology . Current projects target personalized implants and stimuli-responsive drug delivery using advanced fabrication techniques. Contact: hermann.seitz@uni-rostock.de | Address: Justus-von-Liebig Weg 6, 18059 Rostock, Germany

Marko DragojevicView profile

Associate Professor

• Language Attitudes
• Communication Accommodation Theory
• Processing Fluency
• +4 more

Marko Dragojevic is an Associate Professor in the Department of Communication at the University of Kentucky's College of Communication and Information (CI). He holds a PhD from the University of California, Santa Barbara. Dr. Dragojevic's research focuses on language attitudes, communication accommodation theory, and processing fluency, particularly examining how accent, code-mixing, and group identity influence social perceptions. His work intersects sociolinguistics, intergroup communication, and health communication. Key research areas include: Effects of accented speech on audience perceptions Code-mixing in educational and tourism materials Role of processing fluency in communication effectiveness Stereotyping based on linguistic and cultural markers Awards include the 2017 Wethington Excellence in Research Award and the 2018 James J. Bradac Early Career Award. He has led grants on topics like 'Americans’ Attitudes Toward Foreign Accents' and 'Effects of Jargon and Accent on Science Communication.' His research demonstrates trends in analyzing how linguistic features shape intergroup interactions, with implications for public health messaging, educational policy, and organizational inclusivity.

James YoungView profile

Professor

• Human-Computer Interaction
• Human-Robot Interaction
• Robotics
• +6 more

James Young is a Professor in the Department of Computer Science at the University of Manitoba, within the Faculty of Science. He holds a PhD and specializes in Human-Computer Interaction (HCI) and Human-Robot Interaction (HRI). His work focuses on designing socially intelligent robots, trust calibration in HRI, and ethical implications of robotic systems. He leads the HCI Lab, collaborating closely with Japanese robotics researchers, and has pioneered projects like the SnuggleBot companion robot and frameworks for robot capability labeling. Education: PhD in Computer Science Research interests include social robotics, teleoperation systems, and human-robot collaboration. He has explored applications in mental health support, disability inclusion, and cultural reconciliation through virtual reality. His lab emphasizes interdisciplinary approaches, combining engineering, psychology, and design principles. Current research includes designing anti-bullying interventions using robots, privacy-friendly robot interfaces, and exploring the societal impact of AI systems. He actively mentors graduate students in HCI and robotics, with funding opportunities for exceptional candidates. His work has been showcased in venues like HRI conferences and ACM publications, emphasizing both technical innovation and ethical considerations. Collaborations extend to international partnerships and industry applications in healthcare and education.