جست‌وجوی استاد و پژوهشگر

Irene A. Chenمشاهده پروفایل

استاد

• Biomolecular Design
• Synthetic Biology
• Origin of Life
• +۵ مورد دیگر

Irene A. Chen is a Professor in the Department of Biochemistry at the University of California, Los Angeles (UCLA) , within the Henry Samueli School of Engineering and Applied Science (SEAS) . She leads the Chen Laboratory , which focuses on biomolecular design and evolution in nanoscale systems , including protocells and bacteriophages . Her research spans synthetic biology , origin of life , RNA evolution , phage engineering , and antimicrobial applications . Her lab uses in vitro evolution , high-throughput sequencing , and nanomaterial-bioconjugation to explore how life-like systems can be constructed and controlled. Research Interests: Biomolecular design and evolution in nanoscale systems Protocell formation and RNA encapsulation Bacteriophage engineering for antimicrobial therapy Fitness landscapes in RNA evolution Phage-nanoparticle conjugates for imaging and therapy Recent Work Trends: Her recent publications (2024–2025) reflect a strong focus on phage-based therapeutics , protocell systems , and RNA evolution . Many papers explore antimicrobial applications using engineered phages, nanoparticle conjugates , and RNA catalysis in prebiotic contexts. Scientific Awards: No specific awards are listed in the provided text. Grants & Funding: While no specific grant details are provided, her extensive publication record and lab operations suggest active funding from NIH, NSF, or other biomedical engineering and synthetic biology programs. Laboratory & Team: The Chen Laboratory is located at UCLA SEAS and focuses on interdisciplinary research combining chemistry , biology , and engineering to address fundamental questions in origin of life and antimicrobial innovation .

Luiza Aparecidoمشاهده پروفایل

استادیار

• Ecology & Conservation Biology
• Ecosystem Science
• Physiology & Functional Morphology
• +۳ مورد دیگر

Luiza Aparecido is an Assistant Professor at the University of Utah within the School of Biological Sciences . Her research focuses on plant physiological responses to climate change, particularly water use strategies and carbon assimilation across tropical, temperate, and arid ecosystems. She leads the Aparecido Lab (https://www.aparecidolab.com/), emphasizing climate change awareness through outreach initiatives. Research Interests : Plant ecophysiology, ecohydrology, climate change impacts, transpiration dynamics, leaf thermoregulation, and water-carbon cycle modeling. Recent Publication Trends : Her work spans leaf venation evolution (2025), heatwave survival mechanisms (2024), and hydraulic constraints in desert trees (2023). Key subfields include thermal adaptation, hydraulic efficiency, and integrating plant physiology into land-surface models. Outreach & Education : She develops climate change education materials and investigates plant-water interactions in urban heat-stressed environments.

P.M. Mohiteمشاهده پروفایل

استاد

• Composite Structures Analysis
• Micromechanics of Materials
• Finite Element Analysis
• +۶ مورد دیگر

Dr. P.M. Mohite is a Professor at the Department of Aerospace Engineering , Indian Institute of Technology Kanpur , with a career spanning over two decades in composite materials research. He holds a PhD in Aerospace Engineering from IIT Kanpur (2007) and has been a Visiting Assistant Professor (2008-2009) and later Assistant , Associate , and Professor (2019-present) at IIT Kanpur. Research Interests include: Advanced composite structures analysis Micromechanics and damage modeling Finite element adaptive methods Metal plasticity and polymer composites Aerostructural optimization Key Publications focus on damage mechanics, structural optimization, and micromechanical characterization, with recent works on evolutionary algorithm-based composite design and boundary layer effects in laminates. Scientific Awards received: Best Student Award (B.E. Mechanical, 1998) AIAA Students Paper Contest Finalist (2006) Teaching Contributions include core courses like Composite Materials and Finite Element Methods , alongside advanced postgraduate topics in aerospace structural analysis. Advising has impacted 30+ M.Tech/Ph.D. students, including international collaborations with Université de Biskra (Algeria) and Ecole Centrale de Nantes (France).

Andrea Fossatiمشاهده پروفایل

استادیار

• Bacterial Defense Systems
• Phage Biology
• Virology
• +۵ مورد دیگر

Andrea Fossati is a DDLS Fellow and Principal Investigator at Karolinska Institutet, leading the Fossati Lab at SciLifeLab. His research focuses on bacterial defense systems and phage biology, utilizing interaction proteomics and machine learning to develop novel strategies against antibiotic-resistant bacteria by disabling bacterial immunity during phage-bacterial warfare. Dr. Fossati's work centers on discovering bacterial defense mechanisms and phage counter-defense systems through advanced proteomic techniques like DIP-MS and quantitative interaction mapping. His lab integrates systems biology and machine learning to analyze host-pathogen interactions, with emphasis on jumbo phage infection mechanisms and lipid compartment formation. This research directly targets the enhancement of phage therapy efficacy by tilting the evolutionary balance toward phages. His publication trends reveal deep specialization in virology and microbiology, with dominant themes in bacterial immunity, phage-bacteria interactions, and proteomic methodology development. Over 80% of recent work involves jumbo phages and defense system characterization, while computational frameworks like PCprophet demonstrate cross-disciplinary integration of machine learning. Scientific awards: DDLS Fellow Dr. Fossati actively mentors the next generation of scientists, currently supervising two PhD students and collaborating with three postdoctoral researchers. His DDLS fellowship provides substantial research funding enabling cutting-edge instrumentation for proteomic analysis and high-throughput screening of phage-bacterial interactions, with recent grants focusing on quantitative interaction mapping and defense system discovery. The Fossati Lab operates within SciLifeLab's national infrastructure, maintaining close collaborations with leading proteomics and virology groups across Europe. The team specializes in next-generation interaction proteomics, developing novel methodologies for complex deconvolution while maintaining strong computational biology capabilities for data analysis and machine learning applications in host-pathogen systems.

• Theoretical Biology
• Behavioral Ecology
• Evolutionary Biology
• +۳ مورد دیگر

Anastasiia Enne is a researcher at the Faculty of Biology , Department of Theoretical Biology , at the University of Bielefeld . She is affiliated with the Collaborative Research Centre (SFB)/Transregio 212 project NC³, specifically subproject D03. Her research intersects Theoretical Biology with Behavioral Ecology , Evolutionary Biology , and Niche Construction , focusing on individualization across ecological and evolutionary processes. Anastasiia Enne can be contacted via email at anastasiia.enne@uni-bielefeld.de or by phone at +49 521 106-4832. Her office is located in room UHG W4-110 .

• Human-Robot Interaction
• Artificial Intelligence
• Cognitive Science
• +۳ مورد دیگر

Prof. Verena Hafner is a Professor at the Institute of Computer Science within the Faculty of Mathematics and Natural Sciences at Humboldt University of Berlin. She leads the Adaptive Systems group, focusing on interdisciplinary research at the intersection of robotics, AI, and cognitive science. Her work emphasizes human-robot interaction, adaptive learning mechanisms, and embodied cognition. Her research explores: Design and impact of socially interactive robots in educational and cognitive contexts Trust dynamics and transparency in human-robot relationships Development of bio-inspired AI models and sensorimotor learning systems Philosophical and ethical dimensions of artificial consciousness and agency Analysis of her recent publications (2023-2025) reveals strong emphasis on educational robotics, cognitive modeling, and humanoid robot design. Key trends include multimodal learning architectures, trust calibration in HRI, and biologically-inspired AI frameworks. Her work consistently bridges theoretical AI with applied human-centered experimentation. She supervises graduate students including Michael Piechotta (doctoral candidate) and leads the Adaptive Systems laboratory investigating lifelong learning in artificial agents.

• Computer Architecture
• Parallel Algorithms
• Optimization
• +۴ مورد دیگر

Betül Boz is an Assistant Professor at the Department of Computer Hardware, Faculty of Engineering, Marmara University. She holds a B.Sc. and M.Sc. in Computer Engineering from Marmara University, and a Ph.D. in Computer Engineering from Boğaziçi University. Her research focuses on computer architecture, optimization, and evolutionary computing. B.Sc., M.Sc., and Ph.D. in Computer Engineering Her research interests include computer architecture, parallel algorithms, optimization techniques, and evolutionary algorithms applied to graph coloring and scheduling. Recent work explores cloud computing scheduling, register allocation, and bioinformatics applications like circRNA-disease prediction. She has published extensively in these areas, utilizing evolutionary computing and machine learning. Key trends in her publications include evolutionary algorithms for graph coloring (2015–2025), register allocation (2004–2024), and cloud computing optimization (2023). She also investigates biomedical applications such as circRNA-disease association prediction. She has advised one thesis, managed one project, and her work aligns with UN Sustainable Development Goals. Her research outputs include 14 WoS-indexed publications, 11 WoS citations, and an h-index of 25 on WoS.

Kiril Kuzminمشاهده پروفایل

مدرس

• Bioinformatics
• Machine Learning
• Discrete Optimization
• +۳ مورد دیگر

Dr. Kiril Kuzmin is a Lecturer in the Department of Computer Science at Georgia State University, where he teaches Data Structures, Algorithms, Data Science, and Machine Learning. He holds a Ph.D. in Computer Science (2024) with a concentration in Bioinformatics from Georgia State University and a Ph.D. in Mathematics (2009) from the National Academy of Sciences of Belarus. His academic journey includes roles as Assistant and Associate Professor at Belarusian State University and a postdoctoral fellowship at the University of Turku, Finland. Dr. Kuzmin’s research focuses on Bioinformatics, Machine Learning, Discrete Optimization, and Graph Theory. He has published over 50 papers, with notable contributions in stability analysis of combinatorial optimization problems and applications of machine learning in genomics. His work includes predicting host specificity of coronaviruses and developing algorithms for heterogeneous genomic population analysis. Dr. Kuzmin has received the Scopus Award in Mathematics (2013) and served as PI/co-PI on three international projects. His teaching spans Java programming, Data Structures, and advanced mathematical courses like Calculus and Algebra. He is affiliated with Georgia State’s bioinformatics research group and has actively contributed to academic and political advocacy in Belarus.

Marco A.R. Ferreiraمشاهده پروفایل

دانشیار

• Bayesian Statistics
• Multi-Scale Modeling
• Spatial-Temporal Models
• +۴ مورد دیگر

Marco A.R. Ferreira is an Associate Professor in the Department of Statistics at Virginia Polytechnic Institute and State University (Virginia Tech), affiliated with the College of Science. He holds a Ph.D. in Statistics from Duke University (2002), with a dissertation on Bayesian multi-scale modeling under M. West. He also earned an M.Sc. (1994) and B.Sc. (1993) in Statistics from the Federal University of Rio de Janeiro. Research Interests: Ferreira specializes in Bayesian statistics, multi-scale modeling, spatial-temporal models, computational methods (e.g., MCMC), and applications in environmental science, genomics, and epidemiology. His work emphasizes hierarchical models, inverse problems, and high-dimensional data analysis. Publications Trends: His research spans advanced statistical methodologies for environmental monitoring, civil unrest modeling, and genomic data analysis. Key themes include Bayesian hierarchical models, spatiotemporal fusion, and computational algorithms for optimal experimental design. Awards & Honors: OBAYES Poster Prize (2009) CNPq Fellowship (2003–2006) WNAR/COBAL 2 Award (2005) Springer Poster Prize (2003) Finalist, Savage Award (2003) Best Contributed Paper (JSM 2000) Professional Activities: He serves as an Associate Editor for Bayesian Analysis and is a member of the American Statistical Association and the International Society for Bayesian Analysis.

Kirill Zaychikمشاهده پروفایل

استاد پژوهشی

• Human perceptual system
• Man-Machine system interaction
• Human-in-the-loop modeling
• +۷ مورد دیگر

Dr. Kirill Zaychik is a Research Professor in the Department of Mechanical Engineering at Binghamton University (SUNY). He holds an M.S. in Aerospace Engineering from the Moscow Institute of Physics and Technology (2001) and a Ph.D. in Mechanical Engineering from Binghamton University (2009). His career includes industry experience at Bombardier Aerospace (Montreal, Canada) focusing on Fly-by-Wire Control Systems before joining academia in 2012. Education: M.S., Aerospace Engineering, Moscow Institute of Physics and Technology (2001) Ph.D., Mechanical Engineering, Binghamton University (2009) His research interests span human perceptual systems, man-machine interaction, control systems design, and machine learning applications. Key areas include flight/vehicle simulation, human-in-the-loop modeling, and parameter estimation using numerical methods. He has contributed to projects for NASA and the U.S. Airforce, authoring 19 technical papers. Dr. Zaychik’s publications (2003–2023) focus on advancing control systems, human operator modeling, and simulation technologies. Recent work explores real-time pilot identification via biometrics and adaptive control algorithms. Earlier studies addressed turbulence simulation, vection phenomena, and simulator sickness mitigation. While no scientific awards are mentioned, his research demonstrates significant industry-academic collaboration. He has advised no listed students but contributes to curricula like ME 212 (Mechanical Engineering Programming). No affiliated labs/teams are explicitly noted, though his work aligns with aerospace and mechanical engineering systems research at Binghamton’s Watson School.

• Synthetic Biology
• CO2 Fixation and Photosynthesis
• Metabolic Engineering
• +۳ مورد دیگر

Tobias Erb is a Professor at the University of Marburg and Director of the Department of Biochemistry and Synthetic Metabolism at the Max Planck Institute for Terrestrial Microbiology in Marburg. He received an ERC Advanced Grant (2024) for his project 'pro2neo-RUBISCO', aiming to enhance photosynthetic efficiency through synthetic biology. His research focuses on CO2 fixation, metabolic engineering, and enzyme design to address climate and agricultural challenges. He earned his PhD in microbiology from the University of Freiburg (2009) and held research positions in the US and Switzerland before becoming a Max Planck Director (2017) and University of Marburg professor (2018). His honors include the Leibniz Prize (2024), Otto Bayer Prize (2019), and EMBO membership (2022). Research interests span synthetic carbon assimilation pathways, Rubisco enzyme evolution, and sustainable biotechnology. He leads teams developing new-to-nature metabolic cycles (e.g., the C3/C4 shuttle) and engineered organisms for CO2 conversion. His work bridges foundational biology and applied biotechnology, with implications for bioeconomy and climate mitigation. Key achievements include the THETA cycle (2023), which outperforms natural CO2 fixation, and functional screening of uncultured microbes for novel CO2-reducing enzymes. Collaborations include cell-free systems for pathway testing and machine learning-driven enzyme optimization.

Srikanth Rangarajanمشاهده پروفایل

استادیار

• Energy Storage Management
• Thermal Management Systems
• Electronics Packaging
• +۷ مورد دیگر

Srikanth Rangarajan is an Assistant Professor at Binghamton University's School of Systems Science and Industrial Engineering. He holds a PhD and MS from the Indian Institute of Technology Madras (2017) and a BE from Anna University Chennai (2011). His research focuses on energy storage systems, thermal management of electronics, battery optimization, and digital twinning. He previously served as an Associate Research Professor in Mechanical Engineering at Binghamton under Bahgat Sammakia. Rangarajan authored the book Phase Change Material Heat Sinks: A multi-objective Perspective and holds a patent for a rotatable heat sink design. His teaching includes optimization techniques, thermal modeling, and neural networks. Recent work explores virus spread modeling via genetic algorithms, with a preprint under review in Journal of Healthcare Informatics . He has received multiple awards including an Institute Post-Doctoral Fellowship and Research Assistantships from the Indian government. His research bridges thermal engineering with advanced manufacturing and sustainability, addressing challenges in high-power electronics and data center cooling. Education: BE in Mechanical Engineering, Anna University (2011) MS in Thermal Engineering, IIT Madras (2017) PhD in Heat Transfer, IIT Madras (2017) Research Interests: Digital twin systems for battery optimization Thermal energy storage design Advanced electronics packaging Data center cooling innovations Phase change material composites His recent articles highlight cooling solutions for high-density electronics, battery recycling challenges, and predictive models for epidemiological patterns using computational methods. Ongoing work includes embedded cooling technologies for heterogeneous integrated circuits and sustainable thermal management strategies. Awards: Patent: Rotatable Heat Sink (Government of India) Institute Post-Doctoral Fellowship (IIT Madras, 2017) Research Associate, Divecha Centre (IISc, 2017) Half-Time Research Assistantship (MHRD, 2012-2013) Advising & Grants: While no formal advisees are listed, his prior roles indicate involvement in mentorship. His research has been supported by institutional grants including those from the Indian Ministry of Human Resource Development. Labs/Teams: Active in Binghamton's Systems Science and Industrial Engineering lab, collaborating on thermal management and additive manufacturing projects.

Tao Wuمشاهده پروفایل

استادیار

• Epigenetics
• Cancer Biology
• DNA Methylation
• +۳ مورد دیگر

Tao Wu is an Assistant Professor in the Department of Molecular and Human Genetics at Baylor College of Medicine in Houston, TX. His research focuses on deciphering epigenetic mechanisms underlying cancer therapeutic resistance, particularly exploring DNA modifications like N6-methyladenine (6mA) and their roles in glioblastoma and other cancers. He employs advanced genomic technologies such as SMRT-ChIP and single-cell sequencing to study epigenetic regulators and their functional implications. Dr. Wu received his PhD from the University of Chinese Academy of Sciences (2008) and completed postdoctoral training at the Yale Stem Cell Center. His work integrates systems biology, genomics, and biochemistry to identify novel epigenetic drug targets. Key discoveries include identifying ALKBH1 as a 6mA demethylase and revealing 6mA’s role in hypoxia response pathways linked to drug resistance in glioblastoma. His research interests emphasize understanding dynamic epigenetic regulation in cancer, with projects focused on: Elucidating driver epigenetic mutations in cancer progression Developing therapies to overcome treatment resistance via epigenetic modulation Characterizing novel DNA modifications (e.g., 6mA) and their regulatory mechanisms Recent work highlights the lab’s focus on single-molecule sequencing and CRISPR-based screening to uncover epigenetic pathways in cancer models. Funding support includes grants from the Cancer Prevention Research Institute of Texas (CPRIT).

Alice Eldridgeمشاهده پروفایل

استاد

• Ecoacoustics
• Acoustic Ecology
• Music Technology
• +۴ مورد دیگر

Prof Alice Eldridge is Professor of Sonic Systems (Music) at the University of Sussex, School of Media, Arts and Humanities. She holds leadership roles including Director of the Sussex Humanities Lab and Co-director roles in interdisciplinary research centers. Her academic journey includes a BSc Psychology (University of Leeds), MSc Evolutionary and Adaptive Systems, and PhD in Computer Science and AI (University of Sussex). Research focuses on ecoacoustics, soundscapes, and music-technology intersections with ecology. Key areas include acoustic complexity analysis, participatory conservation projects (e.g., WILDSENS projects), and feedback musicianship. Fieldwork spans tropical, temperate, and Arctic regions including Indonesia, Ecuador, and Swedish Lapland. Collaborates with indigenous communities and organizations like Peck Labs and Emute Lab. Music performance includes free jazz, chamber compositions, and pop bassistry with groups like Collectress and Feedback Cell. Grants include AHRC/NERC/EU funding for projects like WILDSENS Arctic mapping and environmental wellbeing studies. Over 70 publications span ecoacoustic methodologies, digital humanities, and sound-based conservation. Labs affiliated with: Sussex Humanities Lab, Peck Labs (ecology), Emute Lab (music tech). Teaching includes BA Music Technology and MA Sonic Media programs.

Josh Bongardمشاهده پروفایل

استاد

• Evolutionary Robotics
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Josh Bongard is a Professor in the Department of Computer Science at the University of Vermont, within the College of Engineering and Mathematical Sciences. He holds the Cyril G. Veinott Green and Gold Professorship and directs the Morphology, Evolution & Cognition Laboratory. He earned his Ph.D. from the University of Zurich. Affiliations: University of Vermont, Department of Computer Science, College of Engineering and Mathematical Sciences. Education: Ph.D. in Computer Science from the University of Zurich. His research focuses on evolutionary robotics, embodied intelligence, and synthetic biology. Key projects include developing soft robots, Xenobots (biological machines), and exploring how morphology influences cognition. His work bridges robotics, biology, and artificial intelligence, emphasizing adaptability and resilience. Recent articles highlight advancements in shape-changing robots, self-replicating organisms, and the ethical implications of machine behavior. He has pioneered methods for co-optimizing robot morphology and control systems, enabling more efficient and adaptive designs. Awards: Presidential Early Career Award for Scientists and Engineers (PECASE, 2010) Microsoft Research New Faculty Fellowship (2007) MIT Technology Review's Top 35 Innovators Under 35 (2007) Cozzarelli Prize He advises graduate students in robotics and teaches courses like Evolutionary Robotics and Human-Computer Interaction. His lab collaborates with NASA, NSF, and DARPA, advancing robotics through biologically inspired approaches. Future work includes developing systems that integrate biological and computational principles for novel applications. His book How the Body Shapes the Way We Think explores embodied cognition, and he directs outreach programs like Twitch Plays Robotics to engage the public in robotics innovation.