Giel van Dooren is an Associate Professor at the Research School of Biology , Australian National University. His research focuses on the cell biology and metabolism of apicomplexan parasites , particularly Toxoplasma gondii and Plasmodium falciparum , aiming to develop novel therapeutic strategies against these pathogens. Education: Bachelor of Arts/Bachelor of Science (University of Melbourne, 2000), PhD (University of Melbourne, 2005) His work explores three core areas: Nutrient acquisition (plasma membrane transporters), Mitochondrial biology (electron transport chain inhibitors, apicoplast-mitochondrion metabolic integration), and Toxoplasma life cycle (felid host genetics). Collaborations include Kiaran Kirk , Adele Lehane , Alex Maier , and Kevin Saliba . Recent publications highlight advancements in understanding mitochondrial transporter functions , divergent respiratory complexes , and nutrient pathway drug targets . His lab actively seeks innovative tools for combating parasitic diseases through molecular physiology and metabolomics. Scientific Awards: College of Science Dean’s Commendation for Excellence in Education - Teaching Excellence (2024) College of Science Dean’s Commendation for Excellence in Education - Outstanding Contribution to Student Learning (2023) Bancroft-Mackerras Medal of the Australian Society for Parasitology (2021) College of Science Dean’s Commendation for Excellence in Education (2020, 2020) Grants & Projects: Na+-dysregulating antimalarials: PfATP4 physiology (2024-2027) Metal transporters in Toxoplasma gondii (2023-2026) Amino acid acquisition in Apicomplexans (2023-2025) Targeting mitochondrial ETC in parasites (2020-2023) Regulating nutrient uptake in intracellular parasites (2020-2022)
Joshua J. Solano, M.D., FAAEM is an Associate Professor of Emergency Medicine and Clerkship Director for the Emergency Medicine Residency program at the Florida Atlantic University Charles E. Schmidt College of Medicine. As Clerkship Director, he works alongside residents to promote best practices for emergency department patient care. Dr. Solano is board certified in emergency medicine and maintains active membership in the American College of Emergency Physicians and the American Academy of Emergency Medicine. Dr. Solano's educational background includes a BS in Biology and BA in History from Duke University, followed by his MD from the University of Florida. He completed his emergency medicine residency at Beth Israel Deaconess Medical Center in Boston and served on faculty at Harvard Medical School as an instructor and assistant program director before joining FAU. In his final year in Boston, he completed the Rabkin Medical Education Fellowship. Dr. Solano's research focuses on geriatric emergency medicine, particularly head trauma management in elderly patients, anticoagulation risks, and emergency department quality assurance. His recent publications demonstrate a strong emphasis on developing clinical decision rules for geriatric head trauma and understanding medication interactions in older emergency patients. He has also contributed significantly to medical education literature, developing innovative residency training curricula. His scholarly work shows a clear progression toward establishing evidence-based guidelines for geriatric emergency care, with numerous publications on intracranial hemorrhage risk assessment, anticoagulation management, and fall prevention strategies. Dr. Solano's research bridges clinical practice with educational innovation, making significant contributions to both patient care protocols and emergency medicine training. 2017: Attending Role Model Award, Beth Israel Deaconess Medical Center 2016-2017: Rabkin Medical Education Fellowship 2011: Alpha Omega Alpha Medical Honor Society 2011: Chapman Humanism Society 2010: Equal Access Clinic Service Award 2010: Lawrence M. Goodman Award for Medical Student Research 2010: Community Service Award As Clerkship Director, Dr. Solano oversees medical student education in emergency medicine and has implemented electronic evaluation systems that have increased the quality and quantity of student assessments. His clinical work includes staff positions at Bethesda East Hospital and Delray Medical Center. Dr. Solano's research program demonstrates strong institutional support through multiple publications and ongoing investigations into geriatric emergency care protocols.
Mary A. Carskadon is Professor of Psychiatry and Human Behavior at Brown University's Warren Alpert Medical School and Director of the EP Bradley Hospital COBRE Center for Sleep and Circadian Rhythms in Child and Adolescent Mental Health. Her distinguished career spans over five decades with foundational contributions to sleep science. Her educational background includes a BA in psychology from Gettysburg College (1969) and a doctorate with distinction in neuro- and biobehavioral sciences from Stanford University (1979), earned under William C. Dement. She is a distinguished alumna of Gettysburg College and holds an honorary doctor of sciences degree from that institution. Carskadon's research focuses on circadian timing systems and sleep/wake patterns in children, adolescents, and young adults. Her work on school start times has significantly influenced public health policy, prompting organizations like the American Academy of Pediatrics and CDC to advocate for later school schedules. She developed the multiple sleep latency test (MSLT) with Dr. Dement, which remains a global standard for assessing sleep disorders. Current research examines sleep-health disparities in urban children with asthma, sleep patterns in suicide risk populations, and the impact of sleep restriction on adolescent performance. Her extensive publication record shows consistent focus on adolescent sleep physiology, circadian rhythms, and public health implications. Recent work explores connections between sleep timing, mental health, and academic performance, particularly during the COVID-19 pandemic, while maintaining her foundational work on sleep measurement methodologies. Lifetime Achievement Award of the National Sleep Foundation Distinguished Scientist and Outstanding Educator Awards of the Sleep Research Society (the latter now presented in her name) 2023 Brown University Distinguished Research Achievement Award William C. Dement Academic Achievement Award (2023) V. Sagar Sethi, M.D., Mental Health Research Award Leadership in Sleep Medicine Award from American Academy of Physicians of Indian Origin-Sleep Elected Fellow of the Association for Psychological Science Elected Fellow of the American Association for the Advancement of Science Carskadon directs the NIH/NIGMS-funded Bradley Hospital COBRE Center, mentoring junior researchers in pediatric sleep and circadian rhythms. She serves as inaugural editor-in-chief of SLEEP Advances and has secured multiple NIH grants including R01 HL142058 examining ethnic differences in children's sleep patterns with asthma, P20 GM139743 for the COBRE center, and R01 HD103665 investigating sleep restriction effects using neuroimaging. Her work bridges laboratory research with real-world applications, particularly in school policy reform and health equity initiatives. She leads multiple research teams including the CLASS Study (Circadian Light in Adolescence, Sleep and School), projects on sleep disruption in urban children with asthma, and studies examining sleep's role in opioid use disorder treatment. Her laboratory continues to innovate in sleep measurement techniques while maintaining longitudinal studies on adolescent sleep patterns across developmental stages.
Dr. Amir Javed is a Lecturer in the School of Computer Science and Informatics at Cardiff University, where he has been employed since 2019. Previously, he served as a Research Associate at the same institution from 2015 to 2019, working on projects including WEFO collaboration with Airbus, the EPSRC Ebb and Flow Energy Systems project, and the ESRC HateLab project. His research spans cybersecurity, machine learning, and IoT security, with particular focus on intrusion detection systems for in-vehicle networks, adversarial machine learning, cloud security, and cybersecurity education. He investigates malware propagation on social networks, drive-by download attacks on Twitter, and the application of machine learning for real-time cyberattack forecasting. His recent work explores generative AI integration in cybersecurity education and adversarial attacks on autonomous vehicle security systems. Dr. Javed's publication trends reveal a strong emphasis on automotive cybersecurity (particularly intrusion detection for connected vehicles), adversarial machine learning techniques, and innovative approaches to cybersecurity education. His work increasingly focuses on federated learning applications for vehicle security and the educational challenges of integrating generative AI into cybersecurity curricula. He leads the Social Data Science Lab (ESRC-funded, £1.5 million, 2020-2022) and teaches the CMT116 Cyber Security and Risk course. His supervisory portfolio includes doctoral research on in-vehicle network security, cloud service abuse detection, and adversarial attacks in intrusion detection systems.
Professor John Barrow is a Professor of Biochemistry & Molecular Biology at the University of Aberdeen, where he also serves as Dean for Employability and Entrepreneurship since 2020. He is affiliated with the School of Medicine, Medical Sciences and Nutrition, based at the Institute of Medical Sciences on the Foresterhill Campus with office address at Ashgrove Road West, AB25 2ZD. Barrow earned his academic qualifications entirely from the University of Aberdeen: a BSc(Hons) in Biochemistry (2002), PhD in Molecular Biology (2005), and PGCert in Higher Education (2011). He was awarded Senior Fellow status with the Higher Education Academy in 2015. His academic career at Aberdeen has progressed from Postdoctoral research scientist (2005-2009), through Teaching Fellow (2009-2013) and Senior Teaching Fellow (2013-2015), to Senior Lecturer (Scholarship) (2015-2021), before becoming Professor in 2021. Professor Barrow's research primarily focuses on innovative approaches to biochemistry education, with particular emphasis on virtual reality and immersive learning technologies. His work bridges traditional biochemical knowledge with cutting-edge educational methodologies, creating engaging learning experiences for students. He has pioneered the use of virtual reality for teaching complex biochemical concepts such as the citric acid cycle and molecular structures. Additionally, his research extends to graduate attributes development, employability skills, and entrepreneurship education, reflecting his dual role as both educator and Dean for Employability and Entrepreneurship. Analysis of his recent publications reveals a strong trend toward educational technology and innovative teaching methods, particularly virtual and augmented reality applications in biochemistry education. His work spans molecular biology education, skills development, and the integration of enterprise and entrepreneurship into the academic curriculum. While his earlier career included more traditional molecular biology research on topics like gene promoters and receptor pathways, his recent focus has shifted predominantly toward educational innovation. His professional recognition includes: Senior Fellow of the Higher Education Academy (2015) As Dean for Employability and Entrepreneurship, Professor Barrow oversees initiatives that connect academic learning with real-world applications, including the ABDN Grad Challenge and Hack 2040 ideathon events. His work focuses on developing students' enterprise skills and preparing them for diverse career paths. He has been instrumental in creating programs like the Employability Boost Award, designed to enhance students' career readiness through structured skill development. Professor Barrow is actively involved in curriculum development at the University of Aberdeen, particularly in transforming and embedding graduate attributes across programs. His leadership extends to external examiner roles for institutions in Pakistan and reviewing for major academic publishers and journals. His innovative approach to education has positioned him as a leader in educational technology within the medical and biochemical sciences.
Dr. Yu Huang is an Assistant Professor in the Department of Computer Science at Vanderbilt University's School of Engineering, with a secondary appointment in the Department of Teaching and Learning at the Peabody School of Education. She is affiliated with the Institute for Software Integrated Systems, the Frist Center for Autism and Innovation, the Vanderbilt Lab for Immersive AI Translation (VALIANT), and the Vanderbilt LIVE Learning Innovation Incubator. Her academic journey began with a BS in Aerospace Engineering from Harbin Institute of Technology in China (2011), followed by an MS in Computer Engineering from the University of Virginia (2015), and culminated with a PhD in Computer Science and Engineering from the University of Michigan in 2021 under Professor Westley Weimer. Dr. Huang's research bridges human cognition and machine intelligence to enhance software development. Her work spans software, hardware, AI, medical imaging (fMRI/fNIRS), eye tracking, and mobile sensing through collaborations with Security, Education, Psychology, and Neuroscience researchers. She leads the MIND Lab (Mixed INtelligence Development for programming lab), investigating programming expertise formation, code comprehension processes, cognitive error patterns, and diversity in programming communities. Her innovative approach combines empirical human studies with AI model development to create more effective programming tools. Her recent publications reveal a growing emphasis on leveraging human attention data to improve code language models, analyzing cognitive biases in security contexts, and examining social factors in technical communication. The research shows strong interdisciplinary connections between neuroscience, psychology, and software engineering, with increasing applications of LLMs in developer tooling. Dr. Huang's work consistently demonstrates how understanding human cognition can inform better AI systems for programming tasks. Dr. Huang has received numerous prestigious recognitions including the 2025 ICPC Vaclav Rajlich Early Career Achievement Award and three ACM SIGSOFT Distinguished Paper Awards (ICSE 2019, FSE 2023, ICSE 2024). Her lab has earned the Best Presentation Award at GI2024, while her students have received the Richard Bennett/Dorothy Danforth Compton Prize scholarship and the C. F. Chen Best Paper award. She actively mentors a diverse team of graduate students (Yifan Zhang, Zach Karas, Zihan Fang, Yueke Zhang, Jiahao Zhang) and undergraduate researchers, with many former students advancing to top institutions (Stanford, Harvard, Duke, UC Berkeley) and organizations (NASA JPL). Her research is supported by a 4-year NSF grant, GitHub Tech for Social Good funding, and the Provost's Faculty Immersion Vanderbilt Grant, enabling comprehensive studies of human-AI collaboration in software engineering. The MIND Lab maintains a strong collaborative culture, frequently working with Professor Kevin Leach's research group and organizing retreats to locations like Radnor State Park and the Great Smoky Mountains. This environment fosters innovation at the intersection of human cognition and software engineering while supporting the professional development of emerging researchers in the field.
Peter A. Tass is a Professor of Neurosurgery at Stanford University's School of Medicine, where he leads the Tass Lab within the Department of Neurosurgery. His research focuses on developing groundbreaking neuromodulation techniques designed to impact the course of neurological diseases including Parkinson's disease, stroke, epilepsy, and tinnitus. The Tass Lab is part of several prestigious Stanford initiatives including Bio-X, the Wu Tsai Human Performance Alliance, the Maternal & Child Health Research Institute (MCHRI), and the Wu Tsai Neurosciences Institute. MD from Universities of Ulm and Heidelberg, Germany (1989) PhD in Physics from University of Stuttgart, Germany (1993) Diploma (master's degree) in Mathematics from University of Stuttgart, Germany (1993) Habilitation thesis in Physiology from RWTH Aachen University, Aachen, Germany (2001) Dr. Tass's primary research interests center around computational neuroscience approaches to understanding and treating neurological disorders. His lab pioneers neuromodulation techniques based on thorough computational modeling that employs dynamic self-organization, plasticity, and other neuromodulation principles to produce sustained therapeutic effects after stimulation. He specifically focuses on developing stimulation methods that cause sustained neural desynchronization by unlearning abnormal synaptic interactions. His work spans both invasive techniques like deep brain stimulation and non-invasive approaches such as vibrotactile and acoustic stimulation. Current projects involve developing novel therapies for Parkinson's disease, epilepsy, tinnitus, and other neurological conditions using comprehensive computational neuroscience methods derived from non-linear dynamics, statistical physics, and numerics. Analysis of Dr. Tass's recent publications reveals a strong focus on coordinated reset stimulation techniques, neural network modeling with plasticity mechanisms, and computational approaches to brain stimulation. His work consistently bridges theoretical computational neuroscience with clinical applications, particularly for Parkinson's disease treatment. A significant portion of his recent research examines how stimulation parameters, sequences, and timing affect long-lasting desynchronization effects in neural networks. His publications demonstrate an interdisciplinary approach combining physics, mathematics, neuroscience, and clinical medicine to develop novel therapeutic interventions. Member of the European Academy of Sciences and Arts (2012) Nicolaus August Otto Innovation Prize (2011) German Innovation Award in Medicine (2011) Rapid Response Innovation Awards from The Michael J. Fox Foundation (2009, 2010) Runner-up for the German future prize (2006) Erwin Schrödinger prize (2005) Fritz Winter prize (2000) Dr. Tass actively mentors a diverse team of researchers including staff scientists, postdoctoral fellows, clinician-scientists, and students. His lab currently includes researchers with backgrounds in physics, computational neuroscience, biomedical engineering, and clinical neurology. The lab is involved in multiple clinical trials, including studies on coordinated reset spinal cord stimulation and vibrotactile coordinated reset stimulation for Parkinson's disease. His research is supported by various funding sources including foundations focused on neurological disorders and innovation in medical technology. Dr. Tass collaborates extensively with both internal Stanford researchers and external collaborators worldwide. The Tass Lab at Stanford is a multidisciplinary research group comprising physicists, neuroscientists, engineers, and clinicians working together to develop novel neuromodulation therapies. The lab team includes staff scientists like Justus Kromer (theoretical physicist), postdocs like Daniel Ehrens and Kanishk Chauhan, clinician-scientists like Tina Munjal, and clinical research coordinators. The lab maintains active collaborations with Stanford colleagues across departments including Kwabena Boahen, Vivek P. Buch, and Jaimie Henderson, as well as external collaborators like Alexander Neiman and Kęstutis Pyragas. Current research directions include developing non-invasive vibrotactile treatments for Parkinson's disease, acoustic coordinated reset therapy for tinnitus, and responsive deep brain stimulation for conditions like loss-of-control eating.
Jesse Liu is an Assistant Professor of Physics at the New York University College of Arts & Science , joining in Spring 2025. He collaborates with the ATLAS Experiment at CERN and leads the NYU Experimental Particle Physics group. Research Interests: Liu's work bridges fundamental particle physics and detector innovation. He investigates Tau-lepton electromagnetic dipoles via photon collisions at the LHC High-luminosity LHC silicon tracker upgrades Dark matter searches through collider experiments and the BREAD axion detection project Cosmic ray physics using ATLAS data Recent Publications focus on tau magnetic moment measurements, detector thermal stress mitigation, and cosmic ray signature analysis. His work has been featured in Phys. Rev. D , Phys. Rev. Lett. , and JINST . Outreach & Mentorship: Liu actively engages in public science communication through Pint of Science talks The Conversation articles School visits to CERN First-gen student mentorship at NYU CU*iP Contact: Office at 726 Broadway, Room 852, New York City. Email: jesse.liu2@nyu.edu
Juliet Schor is a Professor of Sociology at Boston College, specializing in work, consumption, and environmental sustainability. She holds a Ph.D. in Economics from the University of Massachusetts Amherst and previously taught at Harvard University for 17 years. Her research focuses on consumer culture, sustainable economies, and the four-day workweek trials. She has authored influential books like The Overworked American and The Overspent American , which shaped national debates on work-life balance and consumerism. Education: B.A., Wesleyan University; Ph.D., University of Massachusetts Amherst. Research interests include: Consumer society and political consumption Environmental degradation and sustainability transitions Sustainable sharing economies and platform cooperativism Work-hour reduction and carbon emissions Recent work analyzes global four-day workweek trials, funded by 4 Day Week Global. Collaborations include studies on Airbnb’s environmental impact and platform labor dynamics. Her research bridges academia, policy, and activism. Awards: ASA Public Understanding of Sociology Award (2014) Herman Daly Award (2011) Leontief Prize (2006) Guggenheim Fellowship Grants and advising: Member of MacArthur Foundation’s Connected Learning Network; leads PhD student collaborations (e.g., After the Gig ). Organized the Summer Institute in New Economics. Labs/Initiatives: Co-founder of the Center for a New American Dream; chairs the Better Future Project (climate justice). Active in global sustainability networks like 4 Day Week Global.
Jenn Brophy is an Assistant Professor of Bioengineering at Stanford University, developing technologies for genetic engineering of plants and microbes to address environmental stress resilience and agricultural sustainability. Her lab focuses on synthetic genetic circuits for plant root reprogramming and stress response optimization. B.S. in Bioengineering, UC Berkeley (2010) Ph.D. in Biological Engineering, MIT (2016) Postdoctoral Fellow, Stanford University (Biology) Research spans synthetic biology, plant genetics, and microbiome engineering, emphasizing climate adaptation and sustainable biotechnology. Current projects include: Plant-microbe interaction engineering Stress-responsive biosensors High-throughput genetic tool development Plant cell atlas integration Sustainable laboratory practices Her recent publications highlight advances in recombinase circuits, root architecture engineering, and plant cell mapping, with applications in climate resilience and microbiome design. Collaborators include José Dinneny (Stanford) in plant synthetic biology research.
Courtney N. Reed is a Lecturer in Digital Technologies at Loughborough University London, where she joined in November 2023. She maintains a dual role as a visiting research fellow at the Max Planck Institute for Informatics. Her academic journey includes a BMus in Electronic Production and Design from Berklee College of Music (2016), followed by an MSc (2018) and PhD (2023) in Computer Science from Queen Mary University of London. Prior to her current position, she completed postdoctoral research at both the Max Planck Institute for Informatics and King's College London. Bachelor of Music: Electronic Production and Design, Berklee College of Music (2016) Master of Science: Computer Science, Queen Mary University of London (2018) Doctor of Philosophy: Computer Science, Queen Mary University of London (2023) Dr. Reed's research explores the entangled relationships between humans, bodies, instruments, and technology in music interaction, with particular focus on vocal electromyography (VoxEMG) and the vocalist-voice relationship. Her work incorporates feminist and post-human theories to examine sociopolitical contexts within arts technology, aiming to design for creativity while acknowledging individual, messy bodies in artistic practice. She has developed an open-source platform for vocal electromyography to investigate how biosignal feedback changes understanding and perception of the body in vocal performance. Her interdisciplinary approach bridges music technology, human-computer interaction, and embodied interaction studies. Analysis of Dr. Reed's recent publications (2023-2025) reveals a strong thematic focus on embodied interaction in music technology, with particular emphasis on vocal performance, biosignal feedback, and the philosophical underpinnings of digital instrument design. Her work consistently integrates theoretical frameworks like Karen Barad's agential realism with practical applications in digital musical instruments. Key trends include the exploration of ambiguity in data representation, the sociocultural dimensions of timbre in instrument design, and the development of novel methodologies for understanding embodied musical experiences through micro-phenomenology and ethnographic approaches. ACM SIGCHI Outstanding Dissertation Award (2024) for her thesis 'Imagining & Sensing: Understanding and Extending the Vocalist-Voice Relationship Through Biosignal Feedback' Best Newcomer Award at Loughborough University London's Community Awards Celebration (2024) Dr. Reed actively contributes to the academic community through conference organization and leadership roles. She serves as Member-at-Large on the NIME Board, previously chaired papers for NIME 2024, and co-organized the IBM SkillsBuild Sprint at Loughborough London. She has also chaired sessions at the ACM TEI Conference and co-chaired the Student Design Competition. Her collaborative work spans multiple institutions and includes significant contributions to interdisciplinary projects that bridge music, technology, and human experience. She has been instrumental in developing the senSInt research group and the RaveNET wearable network project. Dr. Reed leads the senSInt research group which focuses on sensorimotor interaction in music and performance contexts. The group develops innovative technologies including the VoxEMG platform for vocal electromyography, the Bones anti-corset for vocal performance, and the RaveNET network of wearable biosensing nodes. These projects explore the intersection of biosignals, embodied interaction, and musical expression, creating novel frameworks for understanding how technology mediates human creativity and performance. The group frequently collaborates with musicians, technologists, and theorists to develop and test these systems in real-world performance contexts.
Abdullah Mueen is a Professor and Associate Chair in the Department of Computer Science at the University of New Mexico (UNM), where he has been since 2013. Previously, he worked as a Scientist in the Cloud and Information Sciences Lab at Microsoft Corporation. Research Interests : His work focuses on Temporal Data Mining , with emphasis on efficiency , interactivity , and interpretability . Key areas include Blockchain Data Mining (e.g., BitLink for Bitcoin cluster analysis), Seismic Data Mining (e.g., PAW for aftershock detection), and Social Media Mining (e.g., DeBot for Twitter bot detection). Article Trends : His recent publications span four domains: Seismology : Algorithms for earthquake data analysis (e.g., focal depth inference, aftershock classification). Blockchain : Temporal linkage of Bitcoin addresses (BitLink) and cryptocurrency fraud detection. Traffic Safety : Multi-LiDAR data fusion for real-time road safety monitoring. Time Series Methods : Innovations like MASS similarity search and DAMP anomaly detection for massive datasets. Scientific Awards : ACM SIGKDD Test-of-Time Award (2022) UNM Provost Research Leader Award UNM School of Engineering Junior Faculty Research Excellence Award KDD 2012 Doctoral Dissertation Contest Runner-Up KDD 2012 Best Paper Award Advising and Grants : He has mentored 11 PhD students now employed at institutions like Microsoft, Meta, and Lawrence Livermore National Lab. His research is funded by NSF , NIH , DARPA , AFRL , NEC , Exxon , Microsoft , and LANL .
Mohamed Hefeeda is a Professor in the School of Computing Science at Simon Fraser University (SFU), Canada. He leads the Network and Multimedia Systems Lab (NMSL) and previously served as Director of the School from 2018 to 2023. His research focuses on multimedia networking, mobile computing, cloud systems, and hyperspectral imaging. He holds an ACM Distinguished Member designation and has received prestigious awards including the NSERC Discovery Accelerator Supplements (2011) and multiple best paper awards at top conferences like ACM MM and IEEE Infocom. Education: Ph.D., Purdue University, 2004 M.Sc., University of Connecticut, 2001 B.Sc., Mansoura University, Egypt, 1994 Research Interests: Design of efficient multimedia systems and protocols for wired/wireless networks Cloud gaming optimization and video encoding techniques Hyperspectral imaging for healthcare and mobile applications AI-driven multimedia systems and mobile computing innovations Grants & Industry Collaborations: Funded by NSERC, CFI, and companies like AMD, Huawei, and CBC Co-founded Video Semantics (acquired by tech firm) Partnered with CBC on peer-assisted content distribution systems Awards Highlights: 2025: ACM Distinguished Member 2019: Best Student Paper Award at ACM MMSys 2015: NSERC Discovery Accelerator Supplements Labs & Leadership: Network and Multimedia Systems Lab (NMSL) at SFU Contributed to creation of Qatar Computing Research Institute (QCRI)
Dr. David Wright is a Professor in the Department of English and Technical Communication at Missouri University of Science and Technology (Missouri S&T). He joined the faculty in 2007 after prior roles at NASA’s Education Project, Oklahoma state government, and the software industry. He holds a Ph.D. in Technical Communication (Oklahoma State University, 2007), an M.S. in Higher Education Administration (1996), and a B.S. in Organizational Psychology (1993), all from Oklahoma State University. His research focuses on smart home technology and artificial intelligence, particularly examining human-AI interaction through usability and user experience (UX) testing. He also explores technology diffusion, technical communication practices in emerging technologies, and educational methodologies for technical fields. His work integrates interdisciplinary approaches, blending engineering, sociology, and computer science. Recent publications highlight his contributions to IoT usability, smart home adoption challenges, and the intersection of AI ethics with virtual assistants. He has also authored studies on knowledge graph design, technical documentation in software development, and educational initiatives in computer science and healthcare. Dr. Wright teaches courses in technical writing, usability studies, and web-based communication. His academic service includes curriculum development and advising on technical communication pedagogy. While no specific awards are listed, his extensive publication record reflects sustained scholarly impact in his fields.
Dong Li is an Assistant Professor in the Department of Computer Science and Electrical Engineering (CSEE) at the University of Maryland, Baltimore County (UMBC). His research focuses on wireless sensing, mobile computing, wearable sensing, multi-modal sensing, and smart health, aiming to develop affordable and accessible technologies to address healthcare equity and environmental sustainability challenges. He holds a PhD from the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst, an M.Eng. in Software Engineering from Shanghai Jiao Tong University, and a B.S. in Computer Science from the University of Electronic Science and Technology of China. His work has been published in prestigious venues such as MobiCom, SenSys, IPSN, UbiComp, and HotNets. Key research themes include anomaly detection via knowledge graphs, privacy prediction models for social networks, and interactive recommendation systems. His interdisciplinary approach integrates machine learning, data mining, and cybersecurity to tackle real-world problems in health and environmental sustainability. Dr. Li’s contributions span theoretical advancements and practical system development, with a focus on bridging the gap between cutting-edge research and societal impact. His recent publications highlight innovations in data stream processing, weak supervision frameworks, and privacy behavior analysis in online platforms.
