Find Academic Supervisors

Bekir Tevfik AkgünView profile

Professor

• Artificial Intelligence
• Information Security
• Internet of Things
• +4 more

Prof. Bekir Tevfik Akgün serves as Professor and Dean of the Faculty of Computer and Information Sciences at Yeditepe University, with prior academic appointments at Istanbul Okan University (Department Head, Institute Director), Ohio State University, and Yildiz Technical University (Dean). His expertise spans artificial intelligence, information security, computer graphics, and distributed systems, supported by extensive research funding and supervision of 19 graduate students. Educational background includes: Ph.D. in Control and Computer Engineering, Istanbul Technical University (1991) M.S. in Control and Computer Engineering, Istanbul Technical University (1984) B.S. in Electrical Engineering, Istanbul State Academy of Engineering and Architecture (1981) His research integrates theoretical and applied computer science, with recent focus on AI-driven environmental monitoring (forest fire detection via drone-IoT networks), bioinformatics security, and advanced color models. Early work established foundational contributions in digital art (marbled paper techniques) and real-time operating systems, evolving into contemporary applications in energy management and autonomous systems. Publication trends since 2001 reveal consistent innovation across domains: computer graphics (2004-2024), distributed systems (2001), and emerging AI/IoT applications (2022-2024). The interdisciplinary nature of his work bridges theoretical computer science with practical implementations in security, environmental science, and human-computer interaction. Scientific Awards: No major scientific awards were listed in the provided information. Advising and Grants: Supervised 18 master's theses and 1 doctoral dissertation covering autonomous vehicles, deep learning, and IoT systems. Secured over 1.5 million Turkish Lira in research funding through TÜBİTAK projects including Smart Renewable Energy Management System (2018-2021, 159,636 TL) and Advanced Autonomous Bus System (2018-2021, 915,810.99 TL), with additional projects in battery management and metrobus efficiency. Labs and Teams: Project descriptions indicate leadership in autonomous systems teams and energy management research groups, though specific laboratory affiliations are not detailed in the source text.

Vijaykrishnan NarayananView profile

Professor

• Computer Architecture
• VLSI Design
• Energy-Efficient Computing
• +3 more

Vijaykrishnan Narayanan is a Distinguished Professor in the Department of Computer Science and Engineering at Pennsylvania State University . His research focuses on ferroelectric memory systems , energy-efficient computing , and neuromorphic engineering , with applications in deep learning , edge computing , and secure hardware design . He leads projects such as EFRI BRAID (Neuroscience-Inspired Visual Analytics) and FuSe-TG (Heterogeneous Ferroelectronics for Big Data Analytics). Research Interests Compute-in-Memory (CIM) architectures Ferroelectric Field-effect Transistors (FeFETs) Low-power VLSI design Hardware security mechanisms Scientific Contributions Over 707 research outputs and 26 grants Key contributor to UN Sustainable Development Goals via energy-efficient computing NSF grants for projects like Ferro-CoDE (combinatorial optimization) and INSECT NET (entomology-computer science collaborations)

• Retinal Imaging
• Adaptive Optics
• Cone Photoreceptors
• +6 more

Joseph J. Carroll, PhD is a Professor and Director at the Medical College of Wisconsin, where he is affiliated with the Department of Ophthalmology and Visual Sciences and is a member of the Neuroscience Research Center. His research bridges clinical ophthalmology with advanced imaging technologies to study retinal structure and function. Dr. Carroll's research focuses on high-resolution retinal imaging, particularly using adaptive optics scanning light ophthalmoscopy (AOSLO) to examine photoreceptor structure in both healthy and diseased eyes. His work spans several key areas including achromatopsia, USH2A-related retinopathies, cone photoreceptor structure-function relationships, and the development of novel imaging techniques for assessing retinal diseases. He has made significant contributions to understanding the relationship between retinal structure and visual function in inherited retinal diseases. Analysis of Dr. Carroll's recent publications reveals a strong emphasis on longitudinal studies of retinal structure in genetic eye diseases, particularly achromatopsia and USH2A-related conditions. His work frequently employs advanced imaging modalities like adaptive optics and optical coherence tomography to examine the cone mosaic and other retinal structures at unprecedented resolution. A notable trend is his investigation of animal models, particularly the 13-lined ground squirrel, to study cone-dominant retinal physiology and disease mechanisms. As Director, Dr. Carroll leads research initiatives focused on developing and applying cutting-edge imaging technologies to better understand retinal diseases and monitor disease progression. His work with the Neuroscience Research Center supports interdisciplinary approaches to studying visual system disorders. Dr. Carroll has also contributed significantly to the academic community through editorial work, as evidenced by his publications on peer review practices in ophthalmology journals.

Antonio Carreño-RodríguezView profile

Professor

• Medieval and Early Modern Spain
• Colonial Spanish-American literature and historiography
• Modern Spanish Peninsular literature and culture
• +5 more

Dr. Antonio Carreño-Rodríguez is a faculty member at George Mason University, specializing in Medieval and Early Modern Spain, Colonial Spanish-American literature, and cultural studies. His research spans literary theory, performance studies, and cross-disciplinary analysis of popular culture. His scholarly output includes interdisciplinary work connecting historical texts to modern contexts, as seen in publications like Golden Age 'Diss Tracks' and studies on Lope de Vega's political allegories. Recent collaborations show technical focus in bioinformatics tools and network security. Contact: acarreno@gmu.edu | Office: Horizon Hall 5136 | Office Hours: MW 4:30-5:45pm.

Wendy LeeView profile

Associate Professor

• Bioinformatics
• Next-generation sequencing data analysis
• Genomic studies
• +4 more

Dr. Wendy Lee is an Associate Professor and the MS Bioinformatics Program Coordinator in the Department of Computer Science at San José State University's College of Science. With over a decade of industry experience developing bioinformatics analytical pipelines and enterprise software, she brings practical expertise to her academic role. She serves as faculty advisor for the SJSU Girls Who Code College Loop and the SJSU Bioinformatics Club, demonstrating her commitment to broadening participation in computing. Ph.D. Bioinformatics, University of California Santa Cruz, CA M.S. Molecular Biology and Microbiology, San Jose State University, CA B. Math Computer Science (Co-op), University of Waterloo, ON, Canada Dr. Lee's research focuses on developing and applying computational methods to analyze and integrate large-scale 'omics' datasets including genomic, epigenomic, transcriptomic, proteomic, metabolomic, and metagenomic data. Her work aims to understand how genes work together to comprise functioning cells and organisms. She is particularly interested in next-generation sequencing data analysis for genomic, transcriptomic, and metagenomic studies. Dr. Lee also serves as a faculty member of the Applied Programming Experiences (APEX) program that embeds Python-based computing modules into introductory Statistics and Biology courses to expose diverse students to computer programming. Analysis of Dr. Lee's recent publications (2018-2024) reveals a strong focus on bioinformatics applications in genomics, toxicology, and microbiome research, particularly using Drosophila melanogaster as a model system. Her work spans computational methods development, including machine learning approaches for sequencing data analysis, and interdisciplinary educational initiatives aimed at broadening participation in computing. The publications demonstrate her dual commitment to advancing bioinformatics research and improving STEM education. Journal Reviewer for Investigative Ophthalmology & Visual Science (2020-present) Journal Reviewer for Network Modeling Analysis in Health Informatics and Bioinformatics (2021-present) CSU Cal-Bridge CS Program Liaison and Mentor (2020-present) Dr. Lee actively mentors students through thesis projects (CS 297/298) and has advised numerous students who appear as co-authors on her publications. She serves on multiple departmental committees including the TA Training Committee, Computer Science Scholarship Committee, and previously the College of Science Research Committee. Her educational initiatives, particularly the APEX program, demonstrate her commitment to integrating computational thinking across disciplines and fostering diversity in computing fields. Dr. Lee directs The Lee Research Lab, which focuses on computational methods for 'omics' data analysis. She is also involved with the Applied Programming Experiences (APEX) program that embeds Python-based computing modules into introductory Statistics and Biology courses. Her lab work combines bioinformatics method development with biological applications, particularly in genomics and toxicology research using model organisms.

Eivind ValenView profile

Professor

• Translation
• RNA biology
• Genome editing
• +6 more

Eivind Valen is a Professor at the University of Oslo and holds multiple associate leadership roles at the Center for Molecular Medicine Norway (NCMM) , Center for Myeloid Blood Cancer (C-MYC) , Computational Biology Unit (CBU) , and Michael Sars Center . His research spans RNA biology, genome editing, and translation regulation. Research Focus: Investigates pervasive translation in non-coding regions, CRISPR applications, and RNA structure using nanopore sequencing. Key Tools: Developed CHOPCHOP platforms and ORFik for genome editing and translation analysis. Recent Article Trends: Emphasize ribosome profiling, poly(A) tail dynamics, and CRISPR precision. Awards: Includes ERC Consolidator Grant, EIC Pathfinder award, and KG Jebsen Center recognition. Collaborations: Engaged with institutions across Norway and Europe, including Technische Universität Dresden and EMBL nodes.

• Plant Anatomy
• Bioimaging
• Plant Vascular Biology
• +4 more

Helle Jakobe Martens serves as an Associate Professor in the Department of Geosciences and Natural Resource Management at the University of Copenhagen, specifically within the Forest and Bioressources division. With a Cand.Hort and PhD, she maintains an active research profile with 78 research outputs and 29 professional activities documented in recent years. Her research focuses on plant anatomy and its integration with diverse applications including wood and fiber products, food and feed structures, and enzymatically degraded plant material. Key research areas include plant vascular biology (hydraulic conductivity in tree species, phloem loading mechanisms, and graft union formation in fruit trees), visualization of nano-sized structures, and development of methods for studying nanoparticle uptake and transport in plants. Her technical expertise spans confocal, fluorescence, light, and electron microscopy, laser capture microdissection, immunohistology, and image analysis. Analysis of her recent publications reveals a strong interdisciplinary approach connecting plant science with nanotechnology, microbiology, and biochemistry. Her work spans fundamental plant biology to applied research in wood science, bioimaging, and nutritional enhancement. The 2025 publications on peat polysaccharides and wood decay under anoxia demonstrate her continued focus on plant material structure-function relationships, while her 2024 review on polyploidy in trees addresses critical climate adaptation questions. Professional activities show significant engagement with the academic community through conference organization (including the Bioimaging Workshop Copenhagen in 2007), lectures (such as at Dansk Biologiolympiade in 2020), committee service (including PhD Assessment Committees), and international collaboration (including work with Unidad de Fruticultura, CITA-DGA in Spain). Her research has garnered substantial attention with multiple publications receiving dozens of Mendeley readers and social media mentions.

Anna WessmanView profile

Professor

• Iron Age Archaeology
• Scandinavian Archaeology
• Finnish and Baltic Prehistory
• +8 more

Anna Wessman is a Professor of Iron Age Archaeology at the Department of Cultural History, University Museum of Bergen. Her research spans Late Iron Age Finland and the Baltic region, burial archaeology, metal-detecting cultures, citizen science, and museum studies. She has led major projects like the Levänluhta water burial analysis and co-developed the semantic portal FindSampo , integrating public finds into open-access databases. PhD in Archaeology (University of Helsinki, 2010) with a focus on Iron Age burial rituals Acting University Lecturer in Museum Studies, University of Helsinki (2015-2017) Adjunct Professor in Iron Age Studies, University of Turku (2022 onwards) Her research combines ethnographic methods with isotopic analysis, examining topics like the Finnar in sagas, cremation practices, and the role of citizen scientists in archaeology. She collaborates across disciplines, including genetics (e.g., Levänluhta isotope studies) and digital humanities ( FindSampo platform). Recent articles highlight her work on metal-detected artifact networks (2025), Viking Age magic interpretations (2025), and cremation studies (2024). Her projects have been funded by the Kone Foundation, Academy of Finland, and Emil Aaltonen Foundation, focusing on community archaeology and digital heritage platforms. Wessman actively bridges academic and avocational communities, advocating for structured collaboration with metal-detectorists to enhance archaeological data. Her publications address ethical dilemmas in displaying human remains (2021) and methodological innovations like 'archaeological object interviews.' Key affiliations: University of Bergen (current), University of Helsinki (PhD), University of Turku (Adjunct Professor) Founding member of the European Public Finds Recording Network and Cultural Heritage Crime Network

Zhenman FangView profile

Associate Professor

• Hardware Acceleration
• Computer Architecture
• Big Data Computing
• +7 more

Dr. Zhenman Fang is an Associate Professor in the School of Engineering Science (Computer Engineering Option) and Associate Member in the School of Computing Science at Simon Fraser University, Canada. He founded and directs the HiAccel Lab, focusing on accelerator-rich architectures. His PhD (2014) is from Fudan University, China, with 15 months spent at the University of Minnesota. Prior to SFU, he was a Staff Software Engineer at Xilinx (2017-2019) and a postdoc at UCLA (2014-2017). His research spans: Hardware acceleration for ML, big data, genomics, and HPC FPGA-based customizable computing and near-data processing Compiler/runtime systems for heterogeneous platforms Performance/reliability optimization of accelerator-rich systems His recent publications (2024-2025) focus on FPGA acceleration for machine learning (e.g., on-device training, quantization), computational chemistry, image/video compression, database systems, and reconfigurable computing, demonstrating cross-domain applications of specialized hardware. Awards & Honors: Best Paper Awards: FPL 2024, MEMSYS 2017, TCAD 2019 Best Paper Nominations: ICCAD 2025, FCCM 2025, HPCA 2017, ISPASS 2018 SFU Research Excellence Horizon Award (2025) NSERC Alliance, CFI JELF, and Xilinx University Awards He advises 20+ PhD/Master's students in HiAccel Lab, focusing on accelerator design. Major grants include NSERC Alliance (2020) and CFI JELF (2019). The lab operates a 10-node cluster with FPGA/GPU infrastructure.

Martin MiddendorfView profile

Professor

• Swarm Intelligence
• Bioinformatics
• Genome Rearrangement Analysis
• +7 more

Prof. Dr. Martin Middendorf is a faculty member at the Department of Computer Science , Faculty of Mathematics and Computer Science , Leipzig University , Germany. He leads the Swarm Intelligence and Complex Systems Group and focuses on interdisciplinary research at the intersection of computational methods and biological systems. Fields of Interest Swarm Intelligence Bioinformatics Genome Rearrangement Analysis Combinatorial Optimization Evolutionary Algorithms Task Allocation in Multi-Agent Systems His recent research emphasizes mitochondrial genome annotation , predator-prey dynamics in swarm systems , and metaheuristic algorithms for dynamic optimization . Key trends include de-Bruijn graph applications , pheromone-dependent movement modeling , and automated behavior tracking in social insects . Supervised Students Dr. Nicolas Wieseke Dr. Hoang Thanh Le Dr. Fatma Turna Tobias Jagla Carsten Seemann Prof. Middendorf's group develops tools like DeGeCI 1.1 for mitochondrial gene annotation and explores swarm-controlled emergence in ant clustering systems. They apply swarm intelligence principles to solve real-world problems in vehicle routing , sewer network design , and biomedical signal processing .

Karl FryxellView profile

Associate Professor

• Neuroscience
• Molecular Genetics
• Neurochemistry
• +3 more

Karl Fryxell is an Associate Professor at George Mason University, affiliated with the School of Systems Biology (Research Faculty), School of Systems Biology (Instructional Faculty), and the Neuroscience Program (Research Faculty). His research spans genetics, neuroscience, and evolutionary biology. His work includes studies on nicotine addiction mechanisms using animal models, dopamine receptor evolution, cognitive aging, and genetic disorders like CADASIL. He has contributed to genome assembly projects for endangered species and explored molecular pathways in neurodevelopmental processes. Key affiliations include the Institute for Biohealth Innovation and the Krasnow Institute for Advanced Study. His publications reflect expertise in neurochemistry, gene regulation, and evolutionary genetics.

Ralitza H. GavrilovaView profile

Professor

• Mitochondrial Medicine
• Neurogenetics
• Mitochondrial Diseases
• +7 more

Ralitza H. Gavrilova, MD, is a Professor of Neurology and Professor of Medical Genetics at Mayo Clinic College of Medicine. She holds primary appointment as Consultant in the Department of Medical Genetics and joint appointment as Consultant in the Section of Multiple Sclerosis, Department of Neurology at Mayo Clinic in Rochester, Minnesota. Dr. Gavrilova serves as Director of the Mayo Clinic Mitochondrial Care Center and holds leadership roles in several professional organizations including the United Mitochondrial Disease Foundation, Mitochondrial Medicine Society, and North American Mitochondrial Disease Consortium. Dr. Gavrilova completed her medical education at Medical University - Sofia, followed by residency training in Neurology at the University of Missouri, Columbia, and specialized fellowship training in Medical Genetics at Mayo Clinic. She is board certified in Neurology by the American Board of Psychiatry and Neurology. Her research focuses on mitochondrial medicine and neurogenetics, with particular expertise in mitochondrial myopathy, multisystemic mitochondrial diseases, Friedreich's ataxia, neurodegenerative conditions involving mitochondrial dysfunction, and hereditary leukodystrophies. Dr. Gavrilova's research goal is to improve understanding of mitochondrial dysfunction in disease to develop better diagnostic approaches, evaluation methods, and new therapies for patients. With over 100 publications spanning from 2002 to 2025, Dr. Gavrilova's work demonstrates increasing research productivity in recent years. Her publications cover diverse topics in neurogenetics, mitochondrial disorders, leukodystrophies, and frontotemporal lobar degeneration, reflecting her broad expertise in neurological genetic conditions. First award winning poster presentation, International Multiple Sclerosis meeting ECTRIMS, Prague (2007) Plenary Session Presentation, American Academy of Neurology 58th annual meeting (2006) Daniel M. Keniston Award for Outstanding Resident, University of Missouri School of Medicine (2001) Medical Academy Scholarship (top 1% of class) (1985) Dr. Gavrilova actively supervises research through her role as Director of the Mayo Clinic Mitochondrial Care Center and serves as Principal Investigator for the Mayo Clinic patient registry site of the North American Mitochondrial Disease Consortium. She has held leadership positions including Clinical Director of the Foundation for Angelman Syndrome Therapeutics and Clinical Director of the Angelman Syndrome Foundation. As Director of the Mayo Clinic Mitochondrial Care Center, Dr. Gavrilova leads a specialized team focused on diagnosing and treating mitochondrial disorders, conducting clinical research, and developing new therapeutic approaches for patients with these complex conditions.

Nicolai SiegelView profile

Professor

• Molecular Parasitology
• Pathogen Biology
• 3D Genome Architecture
• +7 more

Nicolai Siegel leads the Siegel Lab at the Department of Physiological Chemistry within the Biomedical Center Munich at Ludwig Maximilian University of Munich. His research group is affiliated with both the Faculty of Veterinary Medicine and the Faculty of Medicine at LMU Munich, and is associated with the Chair of Experimental Parasitology led by Markus Meissner. The lab focuses on understanding molecular mechanisms of pathogen biology with emphasis on Trypanosoma brucei , the parasite causing African sleeping sickness. Dr. Siegel's research interests center on cell-to-cell heterogeneity in pathogen populations, particularly how differences in genome sequence, chromatin organization, and 3D genome architecture influence antigenic variation. His work explores how non-coding RNA contributes to 3D genome architecture organization and how RNA processing hotspots function as 'post-transcriptional' enhancers. The lab employs diverse methodologies including genome-wide chromosome conformation capture (Hi-C and Micro-C), RADICL-seq, ribosome profiling, ChIP-based methods, and single-cell RNA-seq to investigate these mechanisms. Analysis of recent publications reveals a strong focus on the relationship between 3D genome architecture and antigenic variation in trypanosomes, with increasing incorporation of single-cell technologies and computational approaches. The work demonstrates how chromatin organization, RNA processing, and transcription hubs collectively regulate monogenic antigen expression in these pathogens. ERC Consolidator Grant awarded to Siegel Lab (2022) DFG funding for studying antigenic variation in Uganda and Kenya Part of EU-funded Cell2Cell integrative training network focusing on cell-to-cell heterogeneity Dr. Siegel advises numerous PhD students and postdoctoral researchers, with recent lab members including Zhibek Keneskhanova, Rodrigo Cosentino, and Vanessa Luzak. His research is supported by multiple grants including ERC funding and DFG projects. The lab maintains collaborations across Europe and Africa, with field work conducted in sub-Saharan Africa to study pathogens in their natural context. The Siegel Lab maintains computational resources including genome assemblies for T. brucei and develops bioinformatics tools like Smoother for interactome data processing. The group is part of the international Cell2Cell network that brings together experts in chromatin biology, single-cell analysis, imaging, and bioinformatics from institutions across Europe, North America, and Asia.

• Genomic Surveillance
• Antimicrobial Resistance
• Pathogen Genomics
• +4 more

David Aanensen serves as Director of The Centre for Genomic Pathogen Surveillance and Professor at the Nuffield Department of Medicine, University of Oxford. He leads genomic surveillance initiatives for endemic pathogens and outbreak scenarios, integrating epidemiological data with genomics to inform public health interventions globally. His research focuses on genomic surveillance of antimicrobial-resistant pathogens through platforms like Epicollect5 (mobile data gathering), Microreact (genomic epidemiology visualization), and Pathogenwatch (global surveillance platform). Collaborating with major agencies including CDC, ECDC, WHO, and Public Health England, his work enables real-time data interpretation for infection control decisions. Recent publications demonstrate expertise in Klebsiella pneumoniae vaccine development, typhoid fever AMR meta-analysis, SARS-CoV-2 phylodynamics, and carbapenem-resistant pathogen spread. His work spans bacterial genomics, plasmid evolution, phylogenetic clustering, and public health informatics with emphasis on actionable surveillance systems. As Director of the NIHR-funded Global Health Research Unit on Genomic Surveillance of Antimicrobial Resistance, he implements genomic surveillance systems in The Philippines, Colombia, Nigeria, and India. His team develops analytical frameworks linking genomic data with phenotypic and epidemiological information for priority pathogens under national AMR strategies. Key projects include the Epicollect5 platform (>28 million data points across 14,000 projects) and Pathogenwatch for rapid resistance genotype prediction. His laboratory functions as an international hub for genomic epidemiology, working directly with public health agencies to transform genomic data into actionable public health intelligence.

• Software security
• Formal verification
• String analysis
• +3 more

Dr. Yu Fang is an Associate Professor in the Department of Information Management at National Chengchi University's College of Business in Taipei, Taiwan. With a strong academic foundation from National Taiwan University (BS and MS) and a PhD in Computer Science from the University of California, Santa Barbara, Dr. Fang has established herself as a prominent researcher in software security and formal methods, with recent expansion into AI security domains. PhD in Computer Science, University of California, Santa Barbara (2005-2010) MS in Information Management, National Taiwan University (1998-2000) BS in Information Management, National Taiwan University (1994-1998) Dr. Fang's research spans software security, formal verification, and string analysis, with significant contributions to vulnerability detection in web applications, static analysis of mobile applications, and more recently, security and testing of neural networks. Her work bridges theoretical formal methods with practical security applications, particularly in the context of modern software systems and AI technologies. The evolution of her research shows a clear trajectory from traditional software security toward addressing emerging challenges in AI security, including adversarial examples, deepfake detection, and fairness verification in machine learning models. Analysis of Dr. Fang's recent publications reveals a strategic expansion of her research focus. While maintaining her strong foundation in software security and formal methods, she has successfully transitioned into the rapidly evolving field of AI security. Her work now addresses critical challenges such as adversarial example detection using explainability methods (DeepSHAP), concolic testing for neural network fairness verification, and defenses against deepfake attacks. This represents a natural progression from her earlier work on string analysis and vulnerability detection in traditional software systems. Senior Excellent Teacher (10 years) award from National Chengchi University National Science Council (now Ministry of Science and Technology) Research Award Dr. Fang has secured substantial research funding, particularly from Taiwan's Ministry of Science and Technology, with current projects focusing on neural network automated testing and AI security. Her research group maintains active collaborations with both academic and industry partners, particularly in the financial technology sector where security and regulatory compliance are paramount. While specific lab affiliations aren't explicitly mentioned in the provided information, her research profile suggests strong connections to the Software Security Laboratory within the Department of Information Management.