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Saidi SiuhiView profile

Associate Professor

• Transportation Engineering
• Traffic Safety
• Transportation Planning
• +3 more

Dr. Saidi Siuhi serves as an Associate Professor of Civil Engineering at South Carolina State University, where he teaches undergraduate and graduate courses while conducting research and providing institutional service across departmental and university levels. His academic credentials include: Ph.D. in Civil Engineering from the University of Nevada, Las Vegas (2009) M.Sc. in Civil Engineering from Florida State University (2006) B.Sc. in Civil Engineering from the University of Dar-es-Salaam (2003) Specializing in transportation engineering, Dr. Siuhi's research focuses on traffic safety, transportation planning, and microscopic traffic simulation. His work addresses critical transportation challenges including distracted driving/walking behaviors, traffic management during special events (notably the 2017 solar eclipse), and the application of advanced computational methods to transportation networks. He integrates emerging technologies like virtual reality, machine learning, and deep learning to develop innovative safety solutions for complex transportation systems. Analysis of his recent publications (2021-2025) reveals a strong trajectory toward computational transportation safety, with increasing emphasis on AI-driven solutions for pedestrian safety, driver behavior analysis, and infrastructure monitoring. His work consistently bridges theoretical transportation models with practical safety applications, particularly in distracted behavior analysis and event-based traffic management. Dr. Siuhi actively mentors students through senior design projects (CE 459/460) and graduate coursework, though specific advisee names aren't documented. His service contributions span departmental, college, and university committees, supporting academic operations and strategic initiatives within the engineering program.

Kanad BasuView profile

Associate Professor

• Hardware Security
• System Security
• Hardware Reliability
• +10 more

Kanad Basu is an Associate Professor in the Department of Electrical, Computer, and Systems Engineering at The University of Texas at Dallas, Jonsson School of Engineering and Computer Science. He leads the Trustworthy and Intelligent Embedded Systems (TIES) lab, focusing on hardware security, reliability, and emerging computing paradigms. His research spans AI hardware, quantum computing, functional safety, and hardware-based security validation. Research Interests: His work emphasizes improving the trustworthiness of modern hardware systems. Key areas include hardware security (e.g., side-channel analysis, hardware trojans), functional safety in AI accelerators, quantum computing security and verification, and post-silicon validation techniques. He combines formal methods, machine learning, and hardware design to address vulnerabilities in SoCs, DNN accelerators, and quantum systems. Publication Trends: Recent publications (2023–2025) show a strong focus on interdisciplinary research, integrating AI/ML with hardware security, quantum computing, and functional safety. There is a growing emphasis on using large language models for assertion generation, symbolic execution for hardware fuzzing, and graph neural networks for quantum circuit analysis. His work frequently appears in top venues like DAC, DATE, HOST, ISVLSI, and IEEE journals. Scientific Awards: NSF CAREER Award, 2025 IEEE Top Picks in Test and Reliability, 2024 and 2023 Multiple Hack@DAC Prizes (2nd and 3rd) Best Paper Award at VLSI Design 2011 Assistant Professor Award at UTD Jonsson School, 2024 Nominated for Blavatnik Awards for Young Scientists, 2019 Advising and Grants: Dr. Basu has mentored numerous PhD, MS, and undergraduate students, many of whom have published in top-tier venues. He leads the TIES lab, which has received significant recognition, including the NSF CAREER Award. He actively collaborates across disciplines, advising students on topics ranging from quantum computing to AI hardware and functional safety. His lab produces high-impact research with real-world applications in automotive, cloud, and embedded systems. Labs and Teams: He leads the Trustworthy and Intelligent Embedded Systems (TIES) lab at UT Dallas, which fosters innovation in hardware security and reliability. The lab has produced award-winning work, including second prize at HACK@DAC 2025. He also serves on technical committees for IEEE DATE and HOST, and acts as Hardware Hacking Chair for IEEE HOST, indicating strong leadership in the hardware security community.

• Clinical Psychology
• Child and Adolescent Psychology
• ADHD Research
• +3 more

Liz M O'Laughlin serves as Professor in the Department of Psychology within Indiana State University's College of Arts & Sciences. Holding a Ph.D. in Clinical Psychology from the University of Wisconsin-Milwaukee (1993), she maintains active research in child clinical psychology with emphasis on ADHD assessment and family dynamics despite her expired 2020 psychology license. Her educational credentials include: Ph.D. in Clinical Psychology, University of Wisconsin-Milwaukee (1993) M.S. in Clinical Psychology, University of Wisconsin-Milwaukee (1989) Dr. O'Laughlin's research centers on ADHD diagnostic methodologies , parent-child interaction patterns , and executive function assessment . She pioneered studies on religiousness in parenting, sleep disturbances in ADHD children, and BRIEF tool validation. Her work bridges clinical practice with community-based interventions through the Wabash Valley. Recent publications (2023-2025) reveal evolving focus toward ADHD comorbidity detection using BRIEF2 ERI scales and parent help-seeking behaviors, indicating sophisticated understanding of diagnostic nuances beyond symptom checklists. Her scientific recognition includes: Faculty Award for Community-Based Learning and Scholarship (2007) MAPS Mentor Award (2006) Dual Educational Excellence Awards (2001) Nomination for Faculty Distinguished Service Award (2005) Securing over $350,000 in grants including the $298K NIH-funded 'Predictors of Compassionate Love' study, she mentors students through McNair Scholars and MAPS programs while chairing Graduate Council and Clinical Faculty Search committees. Community engagement spans CARE Council leadership (2006-2012) and CASA program consulting. Current research teams focus on autism screening in ADHD referrals and cultural factors in diagnostic practices, with ongoing presentations at APA conventions through 2024.

• New Zealand English
• sociophonetics
• laboratory phonology
• +3 more

Professor Jennifer Hay is a Professor of Linguistics in the Faculty of Arts at the University of Canterbury, New Zealand, where she has been employed since July 2000. She serves as Director of the New Zealand Institute of Language, Brain and Behaviour and is actively involved in collaborative interdisciplinary research projects within the institute. Professor Hay's primary research interests focus on New Zealand English, sociophonetics, laboratory phonology, and morphology. Her work explores how language varies and changes across speakers and contexts, with particular attention to the relationship between speech production and perception. She investigates how social factors influence linguistic patterns and how listeners adapt to different accents and speech styles. Her research combines laboratory methods with corpus-based analysis to address theoretical questions about language structure and use. Her publication record demonstrates consistent contributions to understanding language variation, especially in New Zealand English. Recent work examines vowel covariation, the influence of music on speech perception, and the implicit knowledge of Māori among non-Māori speakers. She has published over 280 scholarly works, with numerous publications in high-impact journals including Language, Journal of Phonetics, and Laboratory Phonology. Rutherford Discovery Fellowship (2010) - $1,000,000 to fund research on Episodic Word Memory (2011-2016) Founding Member, Association for Laboratory Phonology (2010) Fellow of the Center for the Advanced Study of the Behavioral Sciences, Palo Alto Professor Hay actively supervises numerous graduate students, with recent projects focusing on topics such as language variation in Christchurch schools, audience design in police shows, loanword phonology, and the perception of nonbinary speech. She has secured multiple competitive grants from the Royal Society of New Zealand, including current funding for projects on Māori word categories, implicit grammar learning, and vowel sequences in te reo Māori through 2028. As Director of the New Zealand Institute of Language, Brain and Behaviour, Professor Hay leads an interdisciplinary team of researchers investigating language processing, acquisition, and variation. Her collaborative approach has fostered partnerships across linguistics, psychology, and cognitive science to advance understanding of how language works in the human mind and society.

• VLSI CAD
• Low-power IC Design
• Mixed-signal IC Design
• +5 more

Riadul Islam serves as an Assistant Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC), maintaining his primary office in room 316 of the Information Technology and Engineering (ITE) Building. His academic appointment focuses on hardware design and verification within the institution's engineering framework. His educational qualifications include: Ph.D. in Computer Engineering from UCSC (2017) M.A.Sc. in Electrical and Computer Engineering from Concordia University, Montreal (2011) B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (2007) Professor Islam's research centers on VLSI CAD tools and low-power digital/mixed-signal IC design , with significant contributions to current-mode clock networks, vehicular security systems, and error-robust circuit architectures. His work increasingly integrates machine learning for design automation while exploring neuromorphic computing applications and secure hardware implementations. This multidisciplinary approach bridges traditional IC design with modern AI-driven optimization techniques. Analysis of his 2023-2025 publications reveals three dominant research thrusts: (1) Machine learning applications in early-stage Design Rule Checking (DRC) prediction and clock network optimization, (2) Graph-based intrusion detection systems for automotive networks (particularly CAN bus security), and (3) Event-based vision systems and neuromorphic computing architectures. These areas demonstrate consistent innovation in merging hardware design with AI/ML methodologies for enhanced system reliability and efficiency. He directs the UMBC VLSI and SoC Research Group , which develops energy-efficient clocking networks, secure vehicular communication protocols, and compute-in-memory architectures. The lab maintains active collaboration with industry partners on hardware security and neuromorphic computing initiatives while supporting graduate student research in cutting-edge IC design methodologies.

Roee HoltzerView profile

Professor

• Cognitive Neuroscience
• Neurology
• Aging and Mobility
• +6 more

Roee Holtzer is a Professor at the Ferkauf Graduate School of Psychology and Department of Neurology at Albert Einstein College of Medicine. He holds dual faculty appointments bridging psychology and clinical neurology. His research focuses on brain mechanisms underlying cognitive and motor function in aging and neurological diseases, with emphasis on dual-task walking, prefrontal cortex activation, and cognitive reserve. Dr. Holtzer directs the Clinical Neuropsychology minor and teaches courses like Clinical Neuropsychology I/II and Neuropsychology Research Seminars. Education: MA and PhD from Binghamton University. Postdoctoral training at Columbia University’s Sergievsky Center. Licensed psychologist in NY State. His work integrates neuropsychology, neuroimaging (fNIRS), and clinical trials to develop interventions for mobility and cognition in aging populations. Key research areas include multiple sclerosis, mild cognitive impairment, and the effects of comorbidities like asthma on neurological functioning. Over 100 peer-reviewed publications focus on neural efficiency, physical/cognitive reserve, and interdisciplinary interventions. Active in mentoring graduate students conducting predoctoral projects on topics like music therapy effects, social support, and gender differences in cognitive decline. His lab collaborates with institutions like Montefiore Medical Center and uses advanced tools like functional near-infrared spectroscopy (fNIRS) to study brain-behavior relationships.

• Neuropharmacology
• Medicinal Chemistry
• Pharmacology
• +7 more

Professor Jane Hanrahan is a leading academic in the School of Pharmacy at the University of Sydney, where she holds the rank of Professor in Pharmaceutical Sciences. She has served on the University of Sydney Academic Board since 2002 and chairs the Undergraduate Studies Committee, with prior roles in the Therapeutic Goods Administration Advisory Committee on Prescription Medicines (2013). Her career spans postdoctoral research at Cardiff (1996-97), lectureships in Pharmacology (1997-2002), and progressive promotions to Professor (2014). Education: BSc (Hons), University of Sydney PhD, University of Warwick (UK) Graduate Diploma in Educational Studies (Higher Education) Her research focuses on GABA receptors in anxiety, sleep disorders, schizophrenia, epilepsy, and learning/memory, with an emphasis on synthesizing conformationally restrained GABA analogues and exploring natural products from traditional herbal medicines. Key themes include neuropharmacology, medicinal chemistry, and mental health. Recent publications highlight trends in GABA receptor modulation (11/15 articles), traditional medicine analysis (4/15), and clinical pharmacy applications (4/15). Notable collaborations include work with Chebib, Johnston, and Collins on receptor-specific drug design. Grants and Committees: NHMRC Project Grants (2005-2014) on GABA receptors and neuroprotection Chair of Academic Board Undergraduate Studies Committee Member of Therapeutic Goods Administration Advisory Committee

• Shape Memory Alloys
• Reinforced Concrete
• Civil Engineering
• +4 more

Bassem O Andrawes is a Professor in the Department of Civil and Environmental Engineering at the University of Illinois, affiliated with the National Center for Supercomputing Applications (NCSA). His research focuses on innovative materials like shape memory alloys (SMAs) and their applications in civil infrastructure, including reinforced concrete, bridge engineering, and structural rehabilitation. He has been recognized with prestigious awards including the ASCE Fellow (2024) and NSF CAREER Award (2011). Key research interests include: Active confinement and prestressing systems using SMAs Structural health monitoring and data-driven performance evaluation Bridge deck and girder analysis under dynamic and static loads Sustainable solutions for mass timber and concrete structures Recent work highlights include developing adaptive prestressing systems for concrete crossties, SMA-based crack healing for concrete structures, and digital twin models for bridge monitoring. His studies bridge materials science with civil engineering applications, emphasizing durability and resilience in infrastructure systems. Notable achievements include over 100 peer-reviewed publications and leadership in projects addressing seismic retrofitting, FRP composites, and material testing integrated (MTI) simulation paradigms. Collaborations span academia and industry, focusing on practical solutions for infrastructure challenges.

• In-Memory Computing
• Energy-Efficient Systems
• Machine Learning Accelerators
• +3 more

Prof. Naresh R. Shanbhag holds the Jack S. Kilby Professorship in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign. He is affiliated with the Coordinated Science Lab and the Information Trust Institute, both part of the College of Engineering. His research focuses on energy-efficient computing architectures, in-memory computing, nanoelectronics, and secure machine learning systems. Prof. Shanbhag has pioneered work on statistical error compensation techniques and resistive crossbar-based architectures, addressing critical challenges in low-power, high-performance computing. Education and career details are not explicitly provided in the text, but his extensive publications (313+) and honors indicate deep academic involvement. His research interests emphasize the intersection of hardware architecture and machine learning, with a focus on emerging technologies like MRAM and SRAM-based in-memory computing. Key awards include the IEEE Fellow designation (2006) and the prestigious Semiconductor Industry Association (SIA) University Research Award (2018). His recent work explores security vulnerabilities in in-memory architectures, energy-accuracy trade-offs in resistive systems, and adversarial robustness of neural networks. Prof. Shanbhag’s contributions span over 20 years, bridging theoretical computer science with practical hardware implementations. His lab (Coordinated Science Lab) and collaborations drive innovations in nanoscale information processing and trustworthy computing systems.

Inbal ArnonView profile

Professor

• Language acquisition
• Psycholinguistics
• Statistical learning
• +4 more

Professor Inbal Arnon leads the Language Learning and Processing Lab at the Hebrew University of Jerusalem , focusing on how language knowledge emerges through cognitive mechanisms in first and second language acquisition. Her research bridges Cognitive Science , Linguistics , and Psychology , with a special emphasis on statistical learning, Zipfian distributions, and multiword units. Current projects include funded studies on learnability advantages of Zipfian distributions in language Investigations into cross-species communication through whale song analysis Developmental trajectories of statistical learning in children Her methodological approach combines computational modeling, experimental studies, and corpus analysis. Arnon’s work has been highlighted in Science , The New York Times , and Haaretz , with a particular focus on how cognitive biases shape language structure over time. The lab maintains a diversity commitment to recruit underrepresented groups in sciences and hosts a public-facing research space at the Bloomfield Science Museum . Arnon’s team actively explores cultural transmission mechanisms and language evolution through interdisciplinary collaborations.

• Plant-Pathogen Interactions
• Postharvest Physiology
• Plant Disease Management
• +4 more

Professor Amanda Able is a Professor in Plant Science at the University of Adelaide, affiliated with the School of Agriculture, Food and Wine within the Faculty of Sciences, Engineering and Technology. She leads research on plant-pathogen interactions, postharvest physiology, and climate stress resilience in crops. With over $9M in competitive grants since 2001, her work focuses on durum wheat stress responses, miRNA regulation, and transgenerational epigenetic effects. She has supervised 18 PhD and 1 MSc graduates since 2002. Awards include the 2006 Tall Poppy of the Year and 2015 USQ Research Alumnus of the Year. Teaching contributions include Deputy Dean (Learning & Teaching) roles (2019–2022), ASPS Teaching Award (2009), and leadership in national education initiatives like the Agriculture Learning and Teaching Academic Standards project. Her Get into Genes program for secondary students won awards for promoting plant science education. Research spans plant disease mechanisms, capsicum ripening, and inquiry-based learning scaffolding. Her 15 most recent articles (2020–2025) emphasize transgenerational stress memory in crops, microRNA networks, and career readiness in science graduates. Collaborations include the Molecular Plant Breeding CRC and ACDA Learning and Teaching Academy. Labs focus on integrative omics approaches to stress biology and agricultural innovation.

Junlin YuanView profile

Associate Professor

• Fluid Dynamics
• Turbulence Modeling
• Computational Fluid Dynamics (CFD)
• +4 more

Dr. Junlin Yuan is an Associate Professor in the Department of Mechanical Engineering at Michigan State University, within the College of Engineering. Her research focuses on large-scale numerical simulations of complex turbulent shear flows, particularly addressing non-equilibrium turbulence, wall roughness, and fluid-structure interaction. Applications span engineering, environmental, and bio-locomotive systems. She has secured funding from NSF, ONR, and industry partners. Education: Ph.D. Mechanical Engineering, Queen's University, Canada (2015) M.S. Mechanical Engineering, Queen's University, Canada (2011) B.Eng. Aerospace Engineering, Northwestern Polytechnical University, China (2009) Research Interests: Dr. Yuan's work emphasizes understanding turbulence in complex geometries through direct numerical simulations (DNS) and developing physics-based models. Key areas include roughness sublayer dynamics, adverse pressure gradient effects, hyporheic exchange modeling, and turbulence-induced noise prediction. Her lab, the Turbulence Simulation & Modeling (TSM) Lab, bridges fundamental turbulence physics with practical engineering challenges. Grants & Advising: She secured a $400k NSF grant (CC* Compute) for high-memory computing infrastructure and a $490k NSF award on biomimetic fluid-structure interaction. Advised PhD students include Guangchen Shen, Saurabh Pargal, and Sai Mangavelli. Students have received fellowships such as the Richard H. Brown Endowed Fellowship and CFD Society of Canada scholarships. Labs & Teams: Directs the TSM Lab, which employs DNS and CFD tools to explore turbulence in environmental and engineered systems. Collaborates on projects involving sediment-water interface dynamics and rough wall aerodynamics.

Regina DittmannView profile

Professor

• Memristive Systems
• Resistive Switching
• Neuromorphic Computing
• +4 more

Prof. Dr. Regina Dittmann is the Director of the Electronic Materials division (PGI-7) at the Peter Grünberg Institute (PGI), part of the Research Center Jülich. Her research focuses on memristive systems, resistive switching phenomena, and neuromorphic computing architectures. She leads a team exploring novel oxide materials and their applications in advanced electronics, including memristive heterostructures, nanoelectronics, and energy-efficient computing systems. Her work integrates materials science, device physics, and computational modeling to develop next-generation memory and neuromorphic hardware. Key research areas include the design and characterization of memristive devices, understanding ion migration in perovskite materials, and optimizing thermal and electronic stability in nanoscale systems. Recent studies emphasize the role of space charge effects in metal exsolution, the development of fault-tolerant neuromorphic architectures, and the application of synchrotron-based techniques for in-situ material analysis. Her contributions have advanced the theoretical and practical foundations of resistive switching mechanisms and their implementation in energy-efficient computing systems.

Jami FisherView profile

Senior Lecturer

• American Sign Language (ASL) documentation
• Linguistic landscape analysis
• Deaf community partnerships
• +3 more

Dr. Jami Fisher serves as Senior Lecturer and Director of the American Sign Language (ASL) Program at the University of Pennsylvania's Department of Linguistics. Affiliated with the College of Arts & Sciences, their work focuses on documenting Philadelphia-area ASL variation, global deaf community collaborations (especially with Italian communities), and integrating sign language studies into broader linguistic curricula. Education includes an Ed.D. in Higher Education from UPenn (2014), M.S.Ed. (2002) and B.A. in Linguistics (1997). Their pedagogical innovations emphasize Academically Based Community Service (ABCS) partnerships with local organizations like the Pennsylvania School for the Deaf and Deaf-Hearing Communication Centre. Research interests bridge sociolinguistics and community engagement, analyzing the linguistic landscape's visual representation of sign languages and exploring how signed languages reflect cultural values. They co-lead the ASL/Deaf Studies minor program, integrating interdisciplinary coursework with field-based capstone projects. Program leadership includes developing UPenn's longest-running Ivy League ASL program, offering advanced courses in Deaf History, Culture, and Linguistics. Collaborative projects emphasize mutually beneficial partnerships with Deaf communities to ensure culturally responsive research and education.

Brock J. LaMeresView profile

Professor

• Radiation Tolerant Computer Systems
• Reconfigurable Computing
• Engineering Education
• +4 more

Brock J. LaMeres is a Professor and Director of the Montana Engineering Education Research Center (MEERC) at Montana State University. With joint appointments in Electrical & Computer Engineering and engineering education leadership, he has pioneered radiation-tolerant computer systems and reconfigurable computing technologies for space applications while reforming engineering pedagogy through innovative teaching methods. Ph.D., Electrical Engineering, University of Colorado-Boulder (2005) M.S., Electrical Engineering, University of Colorado-Colorado Springs (2001) B.S., Electrical Engineering, Montana State University (1998) His research interests span radiation-hardened computer architectures, space radiation effects on electronics, and engineering education reform. Notably, he developed the RadPC technology for NASA lunar missions and created the MEERC to align engineering graduates with workforce needs. His work integrates unconventional teaching tools like Minecraft for spatial skill development and created the STEM Storytellers program to enhance graduate students' communication skills. Key article trends demonstrate dual focus areas: (1) radiation-tolerant computing for space missions with subfields like FPGA-based design, memory protection algorithms, and AI processing in radiation environments, and (2) engineering education innovations including e-learning platforms, spatial reasoning training, and oral communication development. 2023: MSU VPR Meritorious Technology/Science Award 2022: NACOE Excellence in Outreach Award 2020: Fox Faculty Award for multidisciplinary excellence 2018: ASEE Distinguished Educator Award As director of MEERC, he has secured $20M+ in grants from NASA, NSF, and national labs. His lab has deployed multiple CubeSats to the International Space Station and developed 15+ U.S. patents in digital signal propagation and radiation-hardened computing. He mentors graduate students in both technical and educational research areas.