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Amlan ChatterjeeView profile

Associate Professor

• High-Performance Computing
• Big Data
• Graph Compression
• +5 more

Dr. Amlan Chatterjee is an Associate Professor in the Department of Computer Science at California State University, Dominguez Hills. His work focuses on high-performance computing, big data analytics, and GPU-based graph compression techniques. He has held academic roles since 2015, including Assistant Professor (2015-2021) and currently serves as Associate Professor. His research explores efficient computation on large datasets using multi-core architectures and GPUs, alongside cloud computing optimization and IoT applications in aviation and health monitoring. Education: Ph.D., Computer Science, University of Oklahoma, 2014 M.S., Computer Science, State University of New York, 2009 B.Tech., Computer Science & Engineering, West Bengal University of Technology, 2007 Research Interests: Dr. Chatterjee's research spans graph compression, social network analysis, cloud resource optimization, and IoT-driven solutions for aviation safety and health monitoring. He has mentored students in projects like GPU-based big data processing and cloud computing efficiency. Awards: Graduate Computer Science Scholarship (University of Oklahoma, 2012-13) Computer Science Advisory Board Scholarship (2012) Phillips Petroleum Scholarship (2010-11) Top Undergraduate Rank (1st/68 students) Academic Contributions: He has served on numerous committees, including the Research Chair for Untenured Faculty (2016-17), IEEE conference session chairs, and accreditation boards. His teaching includes courses on data structures, operating systems, and introductory computer science.

Swen GüntherView profile

Professor

• Process Management
• Innovation Management
• Lean Six Sigma
• +4 more

Prof. Dr. Swen Günther holds the Chair of Process and Innovation Management at HTW Dresden within the Faculty of Business Administration . His academic leadership spans teaching and research in production management, project management, process/quality management, and technology/innovation management. He oversees the Bachelor's and Master's programs in Industrial Engineering and collaborates with international partner universities like Satakunta/VAMK (Finland) and FH Burgenland (Austria). Education & Career: Günther earned his PhD (Dr. rer. pol.) from TU Dresden's Market-Oriented Management department. Prior to academia, he worked at Procter & Gamble in manufacturing and quality management (2008-2015). His research focuses on Lean Six Sigma, TRIZ Reverse, transfer indicators, and digitalization. He leads the BMBF-funded 'Transfer_i' project (2019-2021), developing transfer metrics for academia-industry collaboration. Research Interests: His work emphasizes systematic knowledge/technology transfer, digital transformation in processes, and innovative management methodologies. Recent studies address transfer indicators for universities, cost-benefit analyses of digital projects, and empirical research on management trends. Teaching & Advising: Over 50+ theses supervised (2018-2021) across process optimization, quality management, and innovation transfer. He advises companies on Lean/Six Sigma implementation and organizes industry excursions with firms like T-Systems MMS and König & Bauer. Professional Engagement: Member of German Society for Quality (DGQ) and Society for Organisation (GFO). Regularly publishes in journals like Qualität in der Wissenschaft and Zeitschrift für Organisation .

• Partial Differential Equations
• Free Boundary Problems
• Fractional Calculus
• +3 more

Xavier Ros-Oton is a Full Professor at ICREA and the University of Barcelona, specializing in partial differential equations (PDEs) and free boundary problems. His research focuses on regularity theory, fractional calculus, and geometric analysis, with significant contributions to the obstacle problem and nonlocal equations. Key areas of expertise include free boundary regularity, fractional operators, and nonlinear diffusion phenomena. He collaborates with leading mathematicians such as Alessio Figalli and Joaquim Serra on foundational PDE theory. Ros-Oton actively organizes academic events like the Warsaw Summer School on Evolutionary PDEs and New Frontiers in Homogenization and Fractional Calculus , reflecting his role in advancing research communities. His work bridges theoretical analysis and applied mathematics, addressing questions in phase transitions, geometric measure theory, and nonlocal PDEs.

• Artificial Intelligence
• Evolutionary Computation
• Computer Games Development
• +2 more

Stephen Devine is a Lecturer in Computing at the University of the West of Scotland's School of Engineering and Computing. Previously a software developer specializing in bespoke technical software and commercial computer games, his current focus includes Android application development and Evolutionary Computation applied to gaming contexts. Research interests emphasize Artificial Intelligence, particularly in game development, and optimizing native code for mobile platforms. Professional background bridges academia with industry experience in technical software solutions.

Herb SchellhornView profile

Professor

• Bacterial Genetics
• Molecular Microbiology
• Bacterial Stress Response
• +5 more

Herb Schellhorn is a Professor in the Department of Biology within the Faculty of Science at McMaster University. His research spans fundamental bacterial genetics to applied environmental microbiology, with a particular focus on bacterial adaptation mechanisms and water quality monitoring. Dr. Schellhorn earned his B.Sc. and M.Sc. in Microbiology from the University of Guelph, followed by a Ph.D. in Microbiology from North Carolina State University. His academic background established the foundation for his expertise in bacterial stress response mechanisms and molecular microbiology. His laboratory primarily investigates bacterial genes that help cells adapt to sub-optimal growth conditions, with significant emphasis on the RpoS regulon. Early in his career, he focused on fundamental mechanisms of bacterial gene regulation, oxidative stress response, and DNA repair in Escherichia coli. More recently, his research has expanded to address critical environmental challenges, particularly in recreational water safety and pathogen detection in the Great Lakes region. His work combines DNA microarrays, real-time PCR, reporter fusions, and mass spectrometry with advanced genomic techniques to develop innovative solutions for water quality assessment. Analysis of his recent publications reveals a strategic evolution from pure bacterial physiology toward applied environmental microbiology. While maintaining his core interest in bacterial adaptation mechanisms, approximately 70% of his recent work (2023-2025) focuses on water quality monitoring, microbial source tracking, and recreational water safety. His research demonstrates exceptional methodological diversity, incorporating molecular diagnostics, metagenomics, and computational approaches to address public health challenges. Development of novel molecular methods for rapid water quality assessment Application of genomic technologies to environmental monitoring Investigation of bacterial adaptation in natural aquatic environments Creation of same-day testing protocols for recreational water safety Characterization of microbial communities in freshwater ecosystems Dr. Schellhorn actively contributes to teaching at McMaster University, instructing courses including Medical Microbiology (MOLBIOL 6P03 and 4P03), Introductory Biology (BIOLOGY 1P03), and Techniques in Molecular Genetics (MOLBIOL 3V03). His teaching reflects his research expertise, bridging theoretical knowledge with practical laboratory skills in molecular biology and microbiology. His laboratory serves as a training ground for students interested in both fundamental bacterial physiology and applied environmental microbiology.

Dennis MoekeView profile

Lecturer

• Patient Logistics
• Healthcare Logistics
• Data-driven Capacity Planning
• +4 more

Dennis Moeke is a Lecturer in Logistics and Alliances at HAN University of Applied Sciences, leading the Logistics and Alliances Lectorate. He holds a broad professional network spanning logistics, government, and academia, with a focus on healthcare logistics and sustainable urban development. His research addresses societal challenges such as affordable healthcare systems, smart logistics solutions, and livable cities through interdisciplinary collaboration. His expertise includes patient logistics, data-driven capacity planning, and optimization of healthcare processes. Key projects include the Healthy City Lab , exploring sustainable last-mile logistics in cities via two Living Labs (Campus Heijendaal and Buur & Zo), and the Living Labs Sustainable Supply Chain Management in Healthcare . He has secured significant funding, including a NWO grant (Project 439.18.457), to advance interdisciplinary research. Notable contributions include developing the Buur & Zo concept (home care concierge services) and optimizing hospital patient flows using process mining. He collaborates with organizations like Logistics Valley, Health Valley, CWZ Carinova, and Siza. His work emphasizes practical applications, translating academic insights into real-world tools for healthcare and logistics sectors. Publications span topics like home care scheduling optimization, sustainable urban logistics, and pandemic response logistics. He actively promotes the role of logistics in societal well-being through teaching and industry partnerships.

Alexandra WeisbergView profile

Assistant Professor

• Plant-Microbe Interactions
• Microbial Genomics
• Pathogen Evolution
• +3 more

Alexandra Weisberg is Assistant Professor in the Department of Botany and Plant Pathology at Oregon State University's College of Agricultural Sciences. Her Cordley Hall laboratory focuses on evolutionary mechanisms in plant-microbe interactions using genomic and computational approaches. Research examines mobile genetic elements' role in pathogen evolution across agricultural systems, with emphasis on Agrobacterium, Streptomyces, and Phytophthora species. Current projects integrate genomics, molecular biology, and field epidemiology to track disease emergence and microbial adaptation. The Weisberg Lab employs bioinformatic pipelines (e.g., Beav annotation tool) for comparative genomics and develops genomic epidemiology methods for plant pathogens. Lab members include postdoctoral researchers Alex Zaccaron and Arafat Rahman, along with graduate students studying fungal and bacterial evolution.

Stephen RamseyView profile

Associate Professor

• Computational Systems Biology
• Bioinformatics
• Precision Medicine
• +6 more

Stephen Ramsey, an Associate Professor at Oregon State University, holds dual appointments in the School of Electrical Engineering and Computer Science (College of Engineering) and the Department of Biomedical Sciences (Carlson College of Veterinary Medicine). With a PhD in Physics from the University of Maryland, his postdoctoral training in computational genomics at the University of Washington, and professional experience at the Institute for Systems Biology and Center for Infectious Disease Research, Ramsey bridges computational methods with biomedical applications. Education : Ph.D., Physics, University of Maryland; M.S., Physics, University of Maryland; Sc.B., Mathematical Physics, Brown University Ramsey specializes in computational systems biology , focusing on bioinformatics , biomedical knowledge graphs , and precision medicine . His research integrates machine learning , gene regulatory network modeling , and multi-omics data analysis to address challenges in rare disease diagnostics , drug monitoring , and inflammatory disease mechanisms . Current work includes AI-driven biomedical translation and electrochemical biosensor development for non-invasive diagnostics . Recent publications highlight knowledge graph applications in translational biomedicine , causal network inference in clinical-environmental data integration , and cross-species cancer transcriptomics . His team develops tools like RTX-KG2 and PloverDB to standardize biomedical data sharing and semantic reasoning . Scientific Awards : 2019 Zoetis Award (Carlson College of Veterinary Medicine) 2016 NSF CAREER Award 2016 PhRMA New Investigator Award 2010 NIH K25 Mentored Quantitative Research Award Ramsey advises in computational biology courses (CS 446/546) and contributes to biomedical AI through projects like mediKanren for rare disease diagnostics . His NSF-funded research explores gene expression noise and regulatory network dynamics , while NIH and PhRMA grants support his translational medicine initiatives. He leads the Ramsey Laboratory , which develops graph-based reasoning tools for biomedical data translation and multi-omics integration . The lab's work spans comparative oncology models, electrochemical biosensors , and knowledge graph infrastructure for clinical decision support .

• Computational Neuroscience
• Machine Learning
• Neural Dynamics
• +5 more

Dr. Emili Balaguer-Ballester is an Associate Professor in Computational Neuroscience at Bournemouth University, UK. He co-champions the Interdisciplinary Neuroscience Research Centre and serves as Senior Fellow of the Higher Education Academy. His research spans computational neuroscience, machine learning, and virtual reality applications, with collaborations across Europe (University of Barcelona, Heidelberg University, IDIBAPS, Polyra) and North America (Indiana Purdue University, University of British Columbia). PhD in Physics (Cum Laude) from University of Valencia (2001) MSc in Neuroscience and Biology of Behaviour from University of Seville (2004) Research focuses on cortical network dynamics, mesoscopic auditory cortex modeling, top-down modulation in cognition, and affective computing in VR. His work combines nonlinear time series analysis with neurodynamic modeling to study spontaneous and task-related brain activity states. Recent publications demonstrate expertise in causal inference, neuroevolutionary optimization, and affective state detection using EMG/PPG sensors in VR environments. Collaborators include neuroscience labs (Sanchez-Vives, Durstewitz) and tech companies (Sony London, Emteq). PhD thesis award - Culture Institute 'Juan Gil-Albert', Spain (2001) Senior Fellow Higher Education Academy (2020) Secured major grants including Royal Society funding for cortical network modeling (2022), Human Brain Project ERC support for neuromorphic hardware (2022), and Santander Bank research travel grants (2016). Supervised 14 PhD students through projects involving data streams, VR immersion, and cortical dynamics. Labs include Balaguer Lab (GitHub), Interdisciplinary Neuroscience Research Centre, and collaborations with Human Brain Project. Teaching encompasses doctoral-level neuroscience, MSc data analytics, and undergraduate systems design courses.

• Urban Transformation
• Architectural Typology
• Sustainable Building
• +5 more

Peter Schwehr is a Professor and Head of the Competence Center for Typology and Planning in Architecture at the Hochschule Luzern - Technik & Architektur (HSLU T&A). He also serves as an Honorarprofessor at TU Berlin and leads the Institute of Architecture (IAR) ad interim. His roles include research leadership in urban transformation, sustainable building, and architectural typology. Educational Background: 2004: Dr.-Ing. (Technical University of Stuttgart) 1996: Dipl.-Ing. in Architecture (Technical University of Stuttgart) Additional qualifications in didactics and emergency services Research Focus: Transformations of buildings and neighborhoods in sustainable contexts, evolutionary architectural processes, interdisciplinary planning methods, and architectural theory emphasizing 'open architecture.' Key projects include Hybridize the Ordinary , Low Tech High Rise , and Smart Density . Publications & Articles: Over 50 peer-reviewed works, book chapters, and reports focusing on urban quality, retrofitting strategies, and modular building systems. Recent themes include density optimization, post-anthropocentric urbanism, and resilient architecture. Awards: 1st Prize for the TU Berlin competition project 'Mikrowohnen barrierefrei?' (2021). Grants & Collaborations: Led projects funded by Innosuisse, BFE, and BWO, including Wertvermehrende Sanierungsstrategien and SanStrat . Active in national networks like Brenet and SIA. Labs & Teams: Directs the Competence Center for Typology and Planning (CCTP), organizing interdisciplinary workshops and international conferences on urban challenges.

• Optimization Algorithms
• Computer Vision
• Machine Learning
• +3 more

Assoc. Prof. Dr. Adnan Acan is a faculty member in the Department of Computer Engineering at Eastern Mediterranean University (EMU). He holds a PhD from Middle East Technical University, specializing in Electrical Engineering. His academic roles include teaching and supervising numerous graduate students in areas such as optimization algorithms, computer vision, and biomedical signal processing. Education: PhD, Electrical Engineering, Middle East Technical University (1992) MS, Electrical Engineering, Middle East Technical University (1985) BS, Electrical Engineering, Middle East Technical University (1983) Research Interests: His research focuses on optimization algorithms, machine learning, pattern recognition, and biomedical applications. Notable areas include metaheuristic algorithms (e.g., particle filters, great deluge), multi-agent systems, and ECG/heartbeat classification. He has contributed to advancements in computational intelligence, evolutionary algorithms, and medical diagnostics. Advising & Students: He has supervised over 30 graduate students, including PhDs such as JAMSHID TAMOUK (2021) and ZAHRA GOLRIZ KHATAMI (2019), and master’s students like MILAD ROSTAMPOUR (2023). His work spans applications in robotics, face recognition, and numerical optimization. Labs & Collaboration: His teaching and research involve courses in artificial intelligence, algorithms, and computer engineering. He actively contributes to academic service, including roles as a session chair and reviewer in conferences. His lab focuses on developing innovative solutions to complex computational and biomedical challenges.

• Microbial Ecology
• Evolutionary Biology
• Plant-Microbe Interactions
• +5 more

Florien Gorter is a Researcher at Wageningen University & Research, affiliated with the Biointeractions and Plant Health department. His work focuses on microbial ecology, evolutionary biology, and plant-microbe interactions. He leads multiple projects addressing bacterial pathogens in agriculture, such as Ralstonia pseudosolanacearum risks and potato bacterial wilt. Gorter has contributed to understanding microbial competition dynamics, including experimental evolution of toxin production in Pseudomonas aeruginosa. His research also explores adaptation mechanisms in yeast populations under environmental stress, including heavy metal exposure. He actively collaborates on projects involving sustainable cultivation practices, biostimulant effects, and disease management in horticultural crops. Key contributions include datasets on microbial coevolution and experimental evolution studies, published in journals like Frontiers in Microbiology and Philosophical Transactions of the Royal Society B. His activities include presentations on infection pathways of plant pathogens and circular agriculture solutions. Current projects emphasize mitigating bacterial threats in Dutch agriculture and understanding climate extremes' impact on crop diseases.

• Chaos control
• Modelling of nonlinear dynamic systems
• Modelling of biological systems
• +3 more

Yağmur Denizhan is a full-time Professor at Boğaziçi University. Their research focuses on chaos control, nonlinear dynamic systems modeling, and biological systems analysis. Key interests include renal sympathetic nerve activity modeling, stochastic processes, and optimization algorithms. Research highlights include long-term mathematical models of renal function and arterial pressure dynamics, as well as advancements in Particle Swarm Optimization (PSO) algorithms. Their work bridges chaos theory, computational methods, and biomedical engineering. Notable contributions include studies on targeting methodologies in chaotic systems and interdisciplinary explorations of semiotics combined with thermodynamics. Recent publications (2010-2013) emphasize real-time object recognition systems and evolutionary modeling frameworks. No scientific awards or grants are listed in the provided information. No student advisees are explicitly mentioned.

Heike SederoffView profile

Professor

• Plant Physiology
• Metabolic Engineering
• Agricultural Biotechnology
• +3 more

Heike Sederoff is the William Neal Reynolds Distinguished Professor and University Faculty Scholar in the Department of Plant Biology at North Carolina State University. Her research focuses on metabolic engineering and plant physiology to enhance agricultural sustainability, particularly through improving crop nutrient efficiency and engineering symbiotic plant-microbe interactions. She leads projects on CO2 fixation optimization in Camelina sativa, re-establishing arbuscular mycorrhizal symbiosis in Brassicaceae, and solar-powered greenhouse systems. Education: Ph.D. and M.S. in Biochemistry from the University of Göttingen, Germany (1993 and 1990). Courses taught include Applied Bioinformatics (BIT 476/576), Advanced Plant Physiology (PB 751), and Innovation in Agricultural Biotechnology (PB 495/595). Research emphasizes climate-resilient agriculture, including drought tolerance engineering, photosynthetic efficiency, and microbiome-root interactions. Major grants include a $30M Novo Nordisk Foundation InRoot project and NSF funding for FEW system biotechnology education. Awards include the William Neal Reynolds Professorship and University Faculty Scholar designation. Labs and collaborations involve the NCSU Phytotron facility upgrades and international partnerships in Peru through bioinformatics training programs. Key students include Nathan Wilson (synthetic CO2 fixation), Sam Acheampong (sweetpotato biotechnology), and Cristina Salinas.

• Information Systems Engineering
• Logic and Computation
• Smart Grids
• +3 more

Prof. Sandford Bessler is affiliated with the Technische Universität Wien's Faculty of Informatics, specifically within the Compilers and Languages department. His research focuses 75% on Information Systems Engineering and 25% on Logic and Computation. He teaches courses such as Bachelor Thesis for Informatics and Business Informatics . His work emphasizes smart grids, electric vehicle management, scheduling algorithms, and distributed systems. Research interests include optimizing energy networks, resilience in power grids, and integrating renewable energy systems. He has contributed to projects like ARTE (2012–2017) , exploring disruption-tolerant vehicle-infrastructure communication. Supervised theses include Electric vehicles recharge scheduling with time windows and A service overlay network for telematic applications . Key projects involve improving grid resilience through demand-side management and collaborative frameworks. He collaborates with industry and academia on smart grid technologies and electric vehicle infrastructure.