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Roni GranotView profile

Professor

• Music Cognition
• Music Psychology
• Neuroscience of Music
• +5 more

Roni Granot is a Professor and Principal Investigator at the Department of Musicology, Hebrew University of Jerusalem, where they lead the Music Cognition Lab. With 61 publications and nearly 2,000 citations, Granot has established themselves as a prominent researcher in the interdisciplinary field connecting music with cognitive science, neuroscience, and psychology. Granot's research focuses on music cognition, particularly the psychological and neural mechanisms underlying emotional responses to music. Their work examines how musical elements like rhythm, melody, and structure influence listeners' emotional experiences, social bonding, and cognitive processing. Recent research has explored music's role in well-being during crises, such as the COVID-19 pandemic, investigating how individuals across different cultures use music to achieve emotional regulation and social connection. Analysis of Granot's publication record reveals a strong interdisciplinary approach combining neuroscience, psychology, and music theory. Their research demonstrates particular interest in predictive coding models of music perception, examining how listeners' expectations influence emotional responses. The work spans experimental studies using fMRI, behavioral experiments, and cross-cultural investigations, with significant contributions to understanding musical humor, social bonding through music, and the neural correlates of musical pleasure. As Principal Investigator of the Music Cognition Lab, Granot has fostered numerous international collaborations with researchers in neuroscience, psychology, and musicology. Their work has been cited by scholars across multiple disciplines, indicating significant impact in both music research and cognitive science communities.

Susan SchraderView profile

Associate Professor

• Petroleum Engineering
• Flow Modeling
• Data Analytics and Machine Learning
• +3 more

Susan Schrader serves as an Associate Professor in the Department of Petroleum Engineering within Montana Technological University's Lance College of Mines & Engineering, where she has held faculty positions since 2008 after previously teaching at the University of Texas Permian Basin. Her academic foundation includes a PhD in Petroleum Engineering from the New Mexico Institute of Mining and Technology and an MA in Applied Mathematics from the University of New Mexico, with additional doctoral coursework in Mathematics at Montana State University. Her educational qualifications comprise: PhD in Petroleum Engineering, New Mexico Institute of Mining and Technology MA in Applied Mathematics, University of New Mexico ABD toward PhD in Mathematics, Montana State University Schrader's research program centers on petroleum engineering with dual emphases on technical innovation and educational advancement. She develops computational models for fluid flow in low-permeability reservoirs while pioneering data analytics and machine learning applications for reservoir simulation. Concurrently, she investigates climate change mitigation through carbon sequestration and examines societal dimensions of energy industry-climate relationships. Her educational scholarship focuses on accreditation, program assessment, and promoting diversity within STEM disciplines, reflecting commitment to both technical excellence and inclusive pedagogy. Publication analysis reveals an evolutionary trajectory from early fuzzy logic applications in drilling risk assessment toward contemporary integration of neural networks in reservoir engineering and socio-technical climate research. This progression demonstrates increasing sophistication in computational methodologies while expanding into interdisciplinary energy-environment interfaces, particularly evident in her recent low-permeability flow modeling and climate change studies. No scientific awards are documented in available sources. Schrader's instructional responsibilities span advanced computational courses including Data Modeling for Petroleum Engineers, Data Science, and Advanced Reservoir Engineering, indicating substantial curriculum development contributions. While specific graduate student mentorship details are absent from provided materials, her research areas suggest supervision of projects combining petroleum engineering with data science methodologies. Grant funding specifics remain undisclosed in the source documentation. Her computational research likely leverages Montana Tech's High Performance Computing Cluster infrastructure, though no dedicated laboratory facilities are explicitly attributed to her in the available information.

Jonathan BellView profile

Associate Professor

• Software Testing
• Software Engineering
• Program Analysis
• +6 more

Jonathan Bell is an Associate Professor in Software Engineering and Software Systems at Northeastern University's Khoury College of Computer Sciences. Previously, he was faculty at George Mason University where he received a university-wide Teacher of Distinction award. Bell directs research that makes it easier for developers to create reliable and secure software by improving software testing and program analysis. His research spans several key areas in software engineering: flaky tests, fuzzing, software supply chain analysis, and continuous integration. Bell's work on accelerating software testing earned an ACM SIGSOFT Distinguished Paper Award (ICSE '14), and his contributions to the object-oriented programming community were recognized with the 2020 Dahl-Nygaard Junior Researcher Prize. His program analysis research has resulted in widely adopted runtime systems including the Phosphor taint tracking system and CROCHET checkpoint/rollback tool. His recent publications reveal a consistent focus on practical software engineering problems with empirical validation. His work increasingly addresses the challenges of modern software supply chains and dependency management, building on his earlier foundational work in testing and program analysis. The trend shows progression from specific testing problems to broader software ecosystem challenges. ACM SIGSOFT Distinguished Paper Award (ICSE '14 - Unit Test Virtualization with VMVM) Dahl-Nygaard Junior Researcher Prize (2020) NSF CAREER award recipient Teacher of Distinction award from George Mason University Bell actively serves the software engineering community through program committee work for major conferences (ICSE, ASE, FSE, ISSTA), co-organizing mentoring workshops, and contributing to open source projects. He co-founded the Clowdr open source project during the pandemic to support virtual academic conferences and subsequently co-founded a startup around it. His research has been funded by the NSA and NSF, and he serves on the Computing Research Association's Education Board.

Rahmatullah RocheView profile

Assistant Professor

• Computational Biology
• Applied Machine Learning
• Data Science
• +1 more

Rahmatullah Roche serves as an Assistant Professor in the Department of Computer Science at Columbus State University's TSYS School of Computer Science, joining the tenure-track faculty in Fall 2024. His academic credentials include: Ph.D. in Computer Science and Applications from Virginia Tech (2024) M.S. in Computer Science and Software Engineering from Auburn University (2021) B.S. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (2016) Dr. Roche's research spans Computational Biology , Applied Machine Learning , Data Science , and Human-Computer Interaction , with primary focus on macromolecular predictive modeling for intra- and inter-molecular interactions using cutting-edge AI techniques. His work bridges computer science and biology to solve complex structural bioinformatics challenges. Analysis of his 14 publications (2020-2025) reveals a consistent trajectory in applying deep learning—particularly transformer networks, equivariant graph neural networks, and biological language models—to protein-RNA complex prediction, protein-nucleic acid binding, and protein-protein interaction site identification, published in high-impact journals including Cell Systems and Nucleic Acids Research. Key scientific recognitions include: Pratt Fellowship Award (2023-2024) Turner College Research Award (2025) Professional Development Award for Core Course redesign (2025) Core Course Design Institute Professional Development Award (2024) 3rd place Flash Talk award at VT GPSS Symposium (2024) Best Poster Award at ACM-BCB 2020 YSEA Finalist Travel Award at MCBIOS 2024 Dr. Roche actively recruits undergraduate and graduate students for his research lab while securing resources through NSF ACCESS grants. His teaching portfolio includes Computer Science I, Computer Organization, and Graphical User Interface Development, complemented by service as Discipline Coordinator for Web Development and reviewer for top bioinformatics journals. His research group collaborates with Virginia Tech on advancing biomolecular modeling through interdisciplinary AI applications.

D. Kimbrough OllerView profile

Professor

• Infant vocal development
• Bilingualism
• Child phonology
• +5 more

Dr. D. Kimbrough Oller is a Professor and Plough Chair of Excellence at the University of Memphis's School of Communication Sciences and Disorders. He holds affiliations with the Konrad Lorenz Institute for Evolution and Cognition Research (External Faculty Member since 2008) and the Scientific Advisory Board of the LENA Foundation (since 2005). His research focuses on infant vocal development, bilingualism, child phonology, and the evolution of language. Education: Ph.D. in Psycholinguistics (University of Texas at Austin, 1971); B.A. in Romance Languages (University of California, Berkeley, 1968). Experience: Directed projects on vocal development and language evolution since the 1970s; NIH-funded research totaling over $6 million. Research Interests: Bridging infant vocal behavior, evolutionary linguistics, and clinical applications in speech disorders (e.g., autism, Down syndrome). Key topics include the emergence of speech capacity and bilingual language acquisition in children. Grants: Recent funding includes NIH awards for 'Infant Vocal Communication: Typical Development and Autism Risk' ($3.2 million, 2015–2020) and 'Vocal Exploration and Interaction in the Emergence of Speech' ($2.9 million, 2011–2016). Awards: Notable honors include the Honors of the American Speech-Language-Hearing Association (2013) and the University of Memphis Presidential Lifetime Achievement Award (2018). Elected as a AAAS Fellow in 2023. Labs/Teams: Leads the Infant Vocal Communication Lab and collaborates with interdisciplinary teams on projects involving neurodevelopmental disorders and language evolution.

• Artificial Intelligence
• Machine Learning
• Argumentation Theory
• +3 more

Benoît ALCARAZ is a Researcher affiliated with the Department of Computer Science at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM). His work focuses on advancing artificial intelligence and machine learning, particularly in ethical AI frameworks, argumentation systems, and natural language processing. He is based at the Maison du Nombre research facility in Esch-sur-Alzette. Research Interests include developing algorithms for ethical decision-making in AI, optimizing machine learning models through evolutionary techniques, and creating user-centric NLP tools for real-time applications. His work bridges theoretical computer science with practical ethical considerations, as seen in his exploration of bias mitigation in visual learning and argumentation-based reinforcement learning agents. Notable contributions include frameworks like Ajar for ethical reinforcement learning and IRRMA for image-based meeting assistants. While no explicit awards or grants are listed, his publications indicate active involvement in interdisciplinary AI research with a focus on societal impact.

• Cancer Genomics
• Bioinformatics
• Oncology
• +5 more

Prof. Giovanni Tonon is a Full Professor at Vita-Salute San Raffaele University and holds key leadership roles including Director of the Center for Omics Sciences and Head of the Functional Genomics of Cancer Unit at the San Raffaele Scientific Institute in Milan, Italy. His academic journey includes a Medical Degree from the University of Padua (110/110 cum laude) and a PhD in Clinical Methodology from the University of Milan. He has held prestigious positions at institutions like Harvard Medical School and the NIH in the US. His research focuses on genomic and bioinformatics approaches to identify cancer-related genes/pathways, with particular emphasis on multiple myeloma and CAR T-cell therapies. He has pioneered studies on DNA damage responses in cancer and developed novel diagnostic/therapeutic technologies. His work integrates molecular oncology, epigenetics, and precision medicine. Prof. Tonon has secured major awards including the Leukemia & Lymphoma Society Special Fellow Award (2006-2009) and holds 7 patents related to cancer diagnostics and therapies. He actively contributes to teaching, leading courses in Molecular Oncology, Gene Expression Analysis, and Scientific Writing at San Raffaele University. His research group collaborates internationally, driving initiatives like the DigiONE federated learning system for precision oncology. Education: PhD in Clinical Methodology, University of Milan (2002) Medical Degree, University of Padua (1992) Music Professor Certification in Piano, Conservatory of Venice (1989) Key Roles: Director, Center for Omics Sciences (2016-present) Unit Head, Functional Genomics of Cancer (2008-present) Professor of Molecular Oncology (2008-2016) His lab focuses on translating genomic discoveries into clinical applications, with recent work advancing CAR T-cell therapies for colorectal cancer and developing federated learning systems for oncology research. He maintains active participation in doctoral programs in Neurocognitive Sciences and serves on institutional research committees.

Tomonari FurukawaView profile

Professor

• Robotics
• Computational Mechanics
• Autonomous Systems
• +3 more

Tomonari Furukawa is a Professor and Zinn Faculty Scholar at the University of Virginia, leading the VICTOR Lab. He holds a B.Eng. in Mechanical Engineering from Waseda University (1990), an M.Eng. in Mechatronic Engineering from the University of Sydney (1993), and a Ph.D. in Quantum Engineering and Systems Science from the University of Tokyo (1996). His research focuses on robotics, computational mechanics, autonomous systems, and advanced sensor technologies. He has published over 300 papers, contributed to editorial boards, and secured grants such as the U.S. DOD DURIP grants for advanced research infrastructure. His work spans topics like autonomous robotic mapping, sensor fusion, and real-time deformation measurement for automotive safety. He has developed systems for tire tread profiling, crash deformation analysis, and 3D road surface reconstruction. Furukawa’s methodologies often integrate Bayesian approaches, neural networks, and multi-sensor data fusion to solve complex engineering challenges. His contributions to the NSF I/UCRC Centre for Tire Research highlight his impact on applied mechanics. Recipient of multiple career and paper awards, Furukawa emphasizes translational research. His VICTOR Lab explores cutting-edge robotics, including compliant bipedal designs for disaster response (e.g., DARPA Robotics Challenge) and autonomous navigation systems. Current projects leverage AI and advanced vision systems for infrastructure monitoring and human-robot collaboration.

Luca FiorenzaView profile

Associate Professor

• Human Evolution
• Anthropology
• Biomechanics
• +3 more

Luca Fiorenza is an Associate Professor at Monash University's Department of Anatomy & Developmental Biology, affiliated with the Monash Biomedicine Discovery Institute. He also holds an adjunct position as Senior Lecturer in Palaeoanthropology at the University of New England (Australia). His research focuses on functional morphology of the masticatory apparatus in humans and primates, particularly investigating how diet influenced human evolution. Fiorenza leads the Palaeodiet Research Lab (www.palaeodiet.org) and has published in high-impact journals like Nature , Journal of Human Evolution , and American Journal of Physical Anthropology . He has attracted over $3.1M in research funding, including multiple ARC-Discovery Projects. Research Interests : Functional morphology of the masticatory system, Neanderthal dietary adaptations, biomechanical analyses of dental structures, and the evolution of human dietary strategies. His work integrates digital anatomy, 3D modeling, and finite element analysis to explore evolutionary and ecological adaptations. Recent Research Trends : Fiorenza's 2024 publications emphasize Neanderthal dietary habits, biomechanical studies of dentition, and applications of machine learning in dental prosthetics. Earlier work includes investigations into Australopithecus diets and the functional implications of craniofacial morphology. Awards : Australia's Top Researcher (2020) Monash BDI Awards for Outstanding Achievement (2019) Grants & Funding : Four ARC-Discovery Projects totaling over $3.1M AUD, including studies on human dietary transitions and Neanderthal biomechanics. Labs & Teams : Director of the Palaeodiet Research Lab, collaborating internationally on projects involving European and Australian institutions. Active in training workshops on cranio-dental functional morphology and digital anatomy techniques.

Jodie RummerView profile

Professor

• Marine Biology
• Fish Physiology
• Climate Change Impacts
• +4 more

Prof. Jodie Rummer is a Professor of Marine Biology at James Cook University (JCU), specializing in fish physiology and climate change impacts. She leads the RummerLab and the Physioshark project, focusing on coral reef and shark conservation. Her work bridges physiology, ecology, and evolution to address anthropogenic stressors on marine life. Education: PhD in Zoology, University of British Columbia (2010) MSc in Biology, University of West Florida (2004) BSc (Honours) in Marine Biology, University of West Florida (1999) Research Interests: Investigates physiological adaptations of marine organisms to environmental stressors like temperature, ocean acidification, and hypoxia. Key areas include climate change resilience in sharks, coral reef fish performance, and conservation physiology. Collaborates globally, including in French Polynesia and the Great Barrier Reef. Publications & Awards: Over 150 peer-reviewed papers, with an h-index of 45. Notable awards include the UNESCO-L'Oréal Women in Science Fellowship and the Society for Experimental Biology's President's Medal. Her work informs conservation policies and UNESCO initiatives. Awards & Grants: ARC Early Career Discovery Fellow (DECRA), Vice President of the Australian Coral Reef Society, and editorial roles in major journals. Advocates for academic freedom and science communication. Labs & Teams: RummerLab and Physioshark focus on field and lab-based research in French Polynesia and the Great Barrier Reef. Collaborates with institutions like CRIOBE and the ARC Centre of Excellence for Coral Reef Studies.

• Hardware Design
• VLSI Systems
• Digital Circuit Optimization
• +4 more

Rajkumar Sarma is a Research Fellow at the Department of Computer Science & Information Systems at Lero – the Research Ireland Centre for Software, University of Limerick. His work focuses on hardware design, VLSI systems, and optimization techniques for digital circuits. He specializes in areas such as low-power architectures, floating-point arithmetic, and evolutionary algorithms for automated design. His research emphasizes hardware-software co-design, reliability analysis under PVT (Process, Voltage, Temperature) variations, and efficient implementations of multiply-accumulate (MAC) units critical to digital signal processing and image processing applications. Key technical contributions include the development of the UCM algorithm for delay optimization, grammatical evolution for synthesizable HDL code generation, and novel approaches to reduce power consumption in MAC architectures. His work bridges theoretical algorithmic innovation with practical VLSI implementation challenges, addressing both performance and reliability under extreme operating conditions. Rajkumar’s publications span 2012–2025, with a strong focus on digital circuit design, including hybrid adders, low-power flip-flop implementations, and quantum gate-based reversible circuits. His research also extends to reliability analysis of electronic components like multi-layer ceramic capacitors. He has utilized advanced simulation tools such as Cadence ADE-XL for accelerated PVT analysis, demonstrating expertise in both computational modeling and hardware validation. While no specific awards or grants are listed, his extensive publication record reflects sustained engagement with cutting-edge challenges in computer architecture and VLSI systems design.

Peter RobinsonView profile

Research Fellow

• Computer Science
• Software Verification
• Formal Methods
• +6 more

Dr. Peter J. Robinson is an Honorary Research Fellow at the School of Electrical Engineering & Computer Science, The University of Queensland. His academic career spans over three decades, focusing on foundational research in programming languages, formal methods, and distributed systems. His work includes contributions to Qu-Prolog, a multi-threaded Prolog implementation, and TeleoR, a robotic task programming framework. Research interests include agent-based systems, blockchain security for aerospace applications, software verification, concurrent programming, and education technology. Notable projects include the Pedro publish/subscribe server and MyPyTutor, an interactive Python learning tool. He has collaborated on railway safety protocols and spacecraft control systems using blockchain. Publications span journals like Formal Aspects of Computing and conferences such as IEEE Symposium on Computers and Communications. Technical reports include work on unification algorithms and multi-agent verification frameworks. He has advised on projects involving IoT architectures and swarm intelligence simulations.

Darragh HareView profile

Research Fellow

• Conservation Conflicts
• Wildlife Governance
• Environmental Ethics
• +3 more

Darragh Hare is a Research Fellow in the Department of Natural Resources at Cornell University, affiliated with the Center for Conservation Social Sciences. His interdisciplinary research combines conservation science with moral and political theory, examining wildlife governance, human-wildlife conflicts, and the evolution of environmental ethics. Current field projects include deer management studies in Scotland and the US, human-wildlife conflict resolution in Africa, and predator reintroduction debates. Hare's publications analyze conservation conflicts through social-ecological frameworks, investigating topics such as trophy hunting policies, wildlife trade regulation, and ethical dimensions of rewilding. His theoretical work develops evolutionary models of environmental morality, exploring how human moral psychology influences conservation behaviors. With an MA in moral and political theory and PhD in Natural Resources, Hare bridges academic research with practical conservation policy, collaborating with agencies and NGOs to design equitable wildlife governance systems.

• Health Economics
• Applied Microeconomics
• Industrial Organization

Assoc Prof Yang Zhang is an Associate Professor in the School of Economics at the National University of Singapore , Department of Economics. He has been affiliated with the university since 2012, progressing from Lecturer (2012-2015) to Senior Lecturer (2016-2021) and currently Associate Professor since 2022. Education: PhD in Managerial Economics and Strategy (Northwestern University, 2011) BA in Economics (Peking University, 2005) Research Interests: Health Economics Applied Microeconomics Industrial Organization Recent Research Trends focus on leveraging deep learning and structural biology tools for protein structure prediction, RNA modeling, and computational drug design. His work integrates advanced algorithms with large-scale metagenomic data to improve accuracy in complex biological system modeling.

Torsten GüntherView profile

Researcher

• Population Genomics
• Ancient DNA
• Human Evolution
• +5 more

Torsten Günther is a Researcher at Uppsala University's Department of Organismal Biology, holding a PhD and the Swedish academic title of Docent. His work bridges evolutionary biology, archaeology, and genomics through cutting-edge analysis of ancient DNA from human and animal specimens across Europe, Africa, and the Middle East. His research focuses on reconstructing population histories using paleogenomic data, with particular expertise in human migration patterns, domestication processes of livestock (especially sheep and cattle), and methodological innovations in archaeogenomics. Recent work examines vanished hybrid zones in Saharan rock doves, genomic legacies of aurochs hybridization in Iberian cattle, and Neolithic transitions in Northwest Africa. His interdisciplinary approach integrates archaeological context with high-resolution genomic analysis to address fundamental questions about human prehistory and evolutionary adaptation. Analysis of his 15 most recent publications (2023-2025) reveals three dominant research strands: 1) Livestock domestication genomics (sheep, cattle, mouflon), 2) Human population dynamics during critical transitions (Neolithic, Bronze Age), and 3) Methodological advances in ancient DNA analysis. His collaborative network spans over 20 institutions across Europe and North America, with fieldwork concentrated in Mediterranean and Atlantic European regions. Günther frequently publishes in high-impact journals including Nature , Science , and eLIFE , demonstrating significant influence in archaeogenomics. He maintains active research leadership through methodological software development (READv2) and participation in major international consortia studying ancient human and animal genomes. His work consistently addresses how historical demographic processes shaped modern biodiversity and human genetic variation, with implications for conservation biology and understanding human adaptation.