جست‌وجوی استاد و پژوهشگر

• Experimental Design
• Computer Experiments
• Statistical Modeling
• +۷ مورد دیگر

Qiong Zhang is an Associate Professor in the Department of Mathematical and Statistical Sciences at Clemson University, part of the College of Science. She specializes in experimental design, statistical modeling, and uncertainty quantification with applications in computer experiments and network analysis. Her work bridges information collection methodologies with advanced statistical techniques. Education: Ph.D. in Statistics, University of Wisconsin-Madison (2014) M.A. in Economics (Statistics specialization), Peking University (2009) B.S. in Statistics, Nankai University (2007) Research Focus: Dr. Zhang's research emphasizes optimal design methodologies for experiments, particularly in network A/B testing, Bayesian preference elicitation, and stochastic simulation calibration. She develops algorithms for efficient data collection under covariate and network dependencies, with applications in engineering, healthcare, and social sciences. Key Achievements: Finalist, INFORMS Simulation Society Best Student Paper Award (2017) IISE Conference Best Paper Award in Operations Research (2022) Over 30 peer-reviewed publications in top journals like Technometrics , Biometrika , and ACM TOMACS Advising and Collaboration: Supervises graduate students in experimental design optimization and statistical computing. Active in collaborative projects with industry partners on 3D printing quality assessment and space weather data assimilation.

Kripa Singhمشاهده پروفایل

استاد

• Environmental Engineering
• Waste Treatment Biotechnology
• Anaerobic Membrane Bioreactors
• +۵ مورد دیگر

Kripa Singh is a Professor in the Department of Civil Engineering at the University of New Brunswick, specializing in environmental engineering and waste treatment biotechnology. His research focuses on anaerobic/aerobic systems for industrial/municipal wastewater treatment, nutrient removal, groundwater remediation, and biofouling control. He teaches courses including Introduction to Environmental Engineering, Wastewater Treatment, and Air Pollution Control. His publications demonstrate expertise in bioreactor design and optimization, particularly anaerobic membrane systems and granular sludge processes. Research themes include: Pilot-scale testing of innovative reactors Modeling hydrodynamics in treatment systems Removal of dyes, heavy metals, and pharmaceuticals Groundwater pollutant remediation He leads major R&D projects like the UNB-ADI Atlantic Innovation Fund initiative developing novel bioreactors for industrial wastewater.

• Mathematical Optimization
• Nonlinear Optimization
• Mixed-Integer Optimal Control
• +۳ مورد دیگر

Christian Kirches is a full professor at the Institute for Mathematical Optimization within the Carl-Friedrich-Gauß-Fakultät (Faculty of Mathematics, Technische Universität Braunschweig). His research focuses on nonlinear optimization , mixed-integer optimal control , and robust optimization for dynamic systems. He was awarded the Klaus-Tschira prize (2011) for public science communication and the Hengstberger prize (2014) for junior researchers, and received an ERC Consolidator Grant (2022) for his work on optimization under uncertainty. Alumni of Heidelberg University (Diploma, Doctorate, Habilitation) Former resident associate at Argonne National Laboratory and postdoctoral appointee at the University of Chicago Leader of a junior research group (2013–2017) at Heidelberg University His recent publications highlight advancements in mixed-integer nonlinear programming , real-time control systems , and optimization for sustainable energy and transportation . He collaborates with researchers on projects like wind farm control, hydrogen aviation networks, and chromatography process optimization. His methodological work on sum-up rounding , trust-region algorithms , and combinatorial integral approximation has been published in journals such as SIAM Journal on Optimization, Mathematical Programming, and IEEE Control Systems Letters. Kirches also serves as area coordinator for Optimization Online and was associate editor for OR Spectrum (2022–2024). Scientific Awards: Klaus-Tschira Prize (2011) Hengstberger Prize (2014) ERC Consolidator Grant (2022) He is an elected member of the COIN-OR initiative and contributes to open-source optimization software. His lab at TU Braunschweig develops algorithms for dynamic systems under uncertainty, with applications in energy management, autonomous traffic, and industrial processes.

• Battery Recycling
• Separation Processes
• Chemical Engineering
• +۲ مورد دیگر

Kai M. Schröder is a Researcher at the Institute for Chemical and Thermal Process Engineering , part of the Faculty of Mechanical Engineering at Technical University of Braunschweig. He specializes in battery recycling and separation processes, with a focus on optimizing distillation technologies. PhD: 2024–present – Research assistant at ICTV. Master: 2022–2024 – Biochemical Engineering at TU Braunschweig. Bachelor: 2017–2022 – Biochemical, Chemical, and Pharmaceutical Engineering at TU Braunschweig. His research spans chemical and thermal process engineering , particularly in the BMBF-funded ElRec project for recycling lithium-ion battery components. He has contributed to studies on distillation column performance and supervised lab courses in distillation and advanced fluid separation.

Adnan Salihbegovicمشاهده پروفایل

مدرس

• Automation Engineering
• Instrumentation
• Embedded Systems
• +۳ مورد دیگر

Adnan Salihbegovic is affiliated with the Department for Automation and Electronics, where he teaches advanced courses such as Special Measurements Techniques for undergraduate students. His curriculum emphasizes modern instrumentation methodologies, including LabVIEW programming, virtual instrumentation, and data acquisition system integration using DAQ modules and GPIB communication protocols. He oversees laboratory works involving HP and National Instruments equipment for signal analysis, logic analyzers, spectral analyzers, and oscilloscopes. His research interests focus on automation systems, embedded systems design, IoT applications, and control engineering. He has contributed to projects involving web-based SCADA systems, industrial automation workflows, and optimization of order-picking processes in logistics. His work also explores educational tools such as decompilable code editors and tiny OS kernels for teaching purposes. Salihbegovic’s publications span topics like enterprise GIS in power distribution, domain-specific modeling languages for IoT, and vibration control using fuzzy logic. He actively participates in international conferences related to automation and information technologies, demonstrating expertise in both theoretical and applied engineering solutions. His teaching integrates practical lab exercises with theoretical concepts, ensuring students gain hands-on experience with industry-standard tools like LabVIEW and DAQ systems. He also advocates for remote laboratory access and internet-based control systems to enhance educational accessibility and industrial efficiency.

Gürkan Sinمشاهده پروفایل

استاد

• Process Design and Optimization
• Process Systems Engineering
• Environmental Engineering
• +۶ مورد دیگر

Gürkan Sin is a Professor in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU). He leads research in process systems engineering, focusing on interdisciplinary challenges in chemical, biotechnology, and pharmaceutical industries. His work integrates process modeling, simulation, optimization under uncertainty, and environmental impact analysis. Key affiliations include the KT Consortium and PROSYS (Process and Systems Engineering Centre). Education: PhD from Ghent University (2004), MSc and BSc from Middle East Technical University (METU, Turkey). Prior to DTU, he was an Assistant Professor there from 2008–2010. Research interests span process design for wastewater treatment, biorefineries, and biopharmaceuticals, with emphasis on sustainability and AI-driven solutions. Notable contributions include global sensitivity analysis, Monte Carlo methods, and virtual sensor technologies for large-scale processes. Advises PhD students in areas like machine learning for molecular design, risk assessment in chemical processes, and sustainable energy systems. Projects often involve collaborations with industry partners for practical implementation. His work contributes to UN Sustainable Development Goals, particularly in clean energy and responsible consumption. Labs/Teams: PROSYS Centre and KT Consortium, where interdisciplinary teams tackle complex industrial challenges through advanced modeling and data analytics.

Abhishek Sivaramمشاهده پروفایل

پژوهشگر

• Chemical Engineering
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Abhishek Sivaram is a Postdoctoral Researcher in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU), affiliated with the KT Consortium PROSYS - Process and Systems Engineering Centre. His research integrates chemical engineering with artificial intelligence to solve complex process challenges. His primary research spans Chemical Engineering, Machine Learning, and Process Control, with specific expertise in photobioreactor systems, microalgae cultivation, and hybrid modeling approaches. He develops frameworks combining first-principles engineering models with data-driven algorithms for applications ranging from bioreactor optimization to protein precipitation processes. Recent publications reveal a strong emphasis on machine learning integration across chemical engineering domains, particularly using hybrid models to enhance prediction accuracy in multiphase systems and bioprocesses. Key application areas include gas-liquid reactors, single-cell cultivation dynamics, and metabolic flux analysis in cell cultures. Sivaram serves as supervisor for the active PhD project 'Biomolecule Production Mapping via Biosynthesis using Quantum Generative Artificial Intelligence' (2024-2027), collaborating with Prof. S. S. Mansouri and other researchers. This project has attracted significant academic interest with 20 Mendeley readers. He operates within DTU's PROSYS research environment, which specializes in advanced process systems engineering and control strategies for sustainable chemical production.

Teddy Grovesمشاهده پروفایل

پژوهشگر

• Metabolic Networks
• Bayesian Regression
• Cell Metabolism
• +۱۲ مورد دیگر

Teddy Groves is a Tenure Track Researcher at the Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark (DTU), focusing on quantitative modeling of cell metabolism and computational methods. His work bridges systems biology, machine learning, and biotechnology. Research Themes : Quantitative cell metabolism, neurovascular coupling, CRISPR-based apoptosis resistance, and data-driven bioreactor optimization. Supervision : Actively supervises PhD students in projects related to human glycolysis, multiscale modeling, and cyanobacteria enzyme allocation. Key Contributions : Developments in Bayesian regression, high-dimensional pathway visualization, and CRISPR knockouts in CHO cells.

Nagarajan Prabakarمشاهده پروفایل

دانشیار

• Distributed Sensor Networks
• Grid Computing
• Computer Networks
• +۲ مورد دیگر

Dr. Nagarajan Prabakar is an Associate Professor at Florida International University's Knight Foundation School of Computing and Information Sciences. With research interests spanning distributed sensor networks, grid computing, and spatial data processing, he developed TerraFly software for real-time spatial data access. His work has secured $13.7M in research funding through roles as Principal Investigator and Co-Investigator. Prabakar holds a PhD in Computer Science from the University of Queensland (1985), M.E. in Automation from Indian Institute of Science (1979), and B.E. from Annamalai University (1977). His current research focuses on fault-tolerant distributed computing grids with sensor networks. Professional service includes roles as Undergraduate Committee Chair (2006-2012, 2014-present), Faculty Senator (2011-2013), and University Curriculum Committee Chair (2010-2012). His publications demonstrate expertise in machine learning applications for cybersecurity, environmental monitoring, and quantum computing optimization.

• Human-Computer Interaction
• Interaction Design
• Cultural Probes
• +۶ مورد دیگر

Andy Boucher is a Lecturer in the Department of Design at Goldsmiths, University of London, Faculty of Arts & Humanities. He is a core member of the Interaction Research Studio, where he has been actively involved in numerous design research projects focusing on human-computer interaction, particularly through cultural probes, ludic design, and environmental interaction. His research interests span multiple domains within interaction design. Boucher has made significant contributions to the development of cultural probe methodologies, creating tools like ProbeTools and TaskCam that enable novel forms of user research. His work often explores the intersection of technology and everyday environments, particularly focusing on how people interact with nature through technological means, as evidenced by the My Naturewatch project. He has also contributed to research on domestic technologies, energy awareness systems like Energy Babble, and technologies for elderly care settings such as The Photostroller. Boucher's publication record shows a consistent trajectory of research in human-centered design, with a particular emphasis on practical, tangible implementations rather than purely theoretical work. His recent work (2017-2021) has increasingly focused on nature-technology interactions and community engagement through DIY approaches, while earlier work (2007-2015) explored more foundational aspects of ludic design, cultural probes, and domestic technologies. His research consistently demonstrates a commitment to designing for real-world contexts through field studies and community engagement. Boucher has been involved in numerous collaborative projects with William Gaver and other colleagues at Goldsmiths. He has contributed to several notable design projects including Datacatcher (a system for batch deployment of location-aware devices), Energy Babble (an energy awareness system), and The Prayer Companion (a technology exploring spiritual practices). His work has been exhibited internationally at venues including the Museum of Modern Art (MoMA) in New York, the Victoria & Albert Museum in London, and the National Media Museum in Bradford. As a design researcher, Boucher has focused on creating practical tools and systems that can be deployed in real-world settings. His approach emphasizes hands-on making and prototyping, often involving batch production of devices for field studies. He has developed expertise in creating research tools that facilitate novel forms of user engagement and data collection, particularly through camera-based systems and environmental sensors.

• Cloud Computing
• Serverless Computing
• Distributed Systems
• +۵ مورد دیگر

Ass.-Prof. Dr. Sashko Ristov is an Assistant Professor at the Department of Computer Science, University of Innsbruck. His research focuses on serverless computing, distributed systems, and workflow orchestration, with applications in cloud computing, healthcare informatics, and high-performance computing. He leads research on federated serverless infrastructures, resilient function choreographies, and digital twins in construction engineering. His work addresses challenges in cross-cloud resource management, workflow scheduling, and anomaly detection in microservices. Recent contributions include frameworks like StoreLess for federated storage orchestration and CODE for cross-platform serverless deployment. Research trends in his publications emphasize bi-objective optimization for batch workflows, GPU-accelerated document processing, and disaster-resilient cloud systems. He actively participates in workflows community summits to advance scientific workflow standards and interoperability. Dr. Ristov has collaborated on projects like the Montage workflow analysis and ECG monitoring systems using serverless architectures. His work bridges theoretical computing models with practical implementations in healthcare and civil engineering domains.

Teng Zhangمشاهده پروفایل

دانشیار

• Statistics
• Machine Learning
• Signal Processing
• +۷ مورد دیگر

Dr. Teng Zhang is an Associate Professor in the Department of Mathematics at the College of Sciences, University of Central Florida. His research focuses on statistics, machine learning, and signal processing, with a strong emphasis on robust covariance estimation, matrix analysis, and phase retrieval. Robust statistical methods Machine learning algorithms Signal processing for complex systems Optimization in non-convex models Applications in cybersecurity and bioinformatics Recent publications highlight his work on low-rank matrix models, adversarial robustness in deep learning, and secure distributed estimation for cyber-physical systems. His research spans theoretical guarantees and practical implementations, with applications in computer vision, network security, and biomedical data analysis.

Winston V. Schoenfeldمشاهده پروفایل

استاد

• Optics and Photonics
• Semiconductor Materials
• Photovoltaics
• +۵ مورد دیگر

Dr. Winston V. Schoenfeld is a Professor of Optics, Materials Science and Engineering (MSE), and Electrical and Computer Engineering (ECE) at the University of Central Florida (UCF), where he also serves as Vice President for Research and Innovation. He holds a Ph.D. in Materials Science from the University of California, Santa Barbara (2000), and M.S. and B.S. degrees in Materials Science and Engineering from the University of Florida. His research focuses on photovoltaics, epitaxial growth of oxide semiconductors, light-emitting diodes (LEDs), quantum dots, electron-beam nanolithography, quantum networks, nanowire device modeling, and solid-state nuclear material detection. He has secured over $24 million in research funding and authored/co-authored 140+ peer-reviewed publications. Key achievements include founding Medical Lighting Solutions, Inc., leading the c-Si Photovoltaic Manufacturing Consortium (PVMC), and receiving the SPIE Fellow distinction. His work emphasizes interdisciplinary innovation in optics, photonics, and materials science. Education: Ph.D., Materials Science, UCSB, 2000 M.S. & B.S., Materials Science and Engineering, University of Florida Awards: SPIE Fellow 2017 Promotion to Full Professor 2016 Research Incentive Award 2010 UCF Teaching Incentive Award Grants & Funding: Over $24M secured for research, including leadership in the $10M PVMC consortium. Labs/Teams: Director of the NANOPHOTONICS DEVICE GROUP , focusing on advanced optoelectronic devices and materials.

• Probability and Statistics
• Mathematics of Finance
• Stochastic Processes
• +۵ مورد دیگر

Dr. Ionut Florescu is a Research Professor in Financial Engineering at Stevens Institute of Technology, School of Business. He leads the Hanlon Financial Systems Lab and directs the Financial Technology and Analytics program. His expertise spans stochastic processes, high-frequency finance, reinforcement learning, and mathematical finance. Florescu holds a Ph.D. in Statistics from Purdue University (2004), and academic roles at Stevens since 2005 include Assistant Professor, Research Associate Professor, and current Research Professor. He advises numerous PhD students in Financial Engineering and Mathematical Sciences, focusing on topics like deep learning in finance and algorithmic trading. Education: Bachelor's in Mathematics, University of Bucharest (1996) Master's in Stochastic Processes, University of Bucharest (1997) Master's in Computational Finance, Purdue University (2001) Ph.D. in Statistics, Purdue University (2004) Research Interests: Stochastic processes in finance, high-frequency trading, volatility modeling, reinforcement learning applications, and interdisciplinary projects in geophysics and biomedical engineering. His work emphasizes mathematical modeling across diverse domains like cryptography and ocean studies. Recent Articles Trends: Focus on algorithmic trading, liquidity analysis, and applications of machine learning in finance. Key areas include counterfactual explanations for credit ratings, batch auction market behavior, and multidimensional risk modeling. Awards: I.W. Burr Award for Thesis Excellence (2005) Nvidia GPU Infrastructure Grant (2017) CME Foundation Grants (Totaling $185K) ERASMUS+ Mobility Award (2022) Advising & Grants: Supervised over 30 PhD/Masters students. Secured NSF, CME, and industry grants totaling over $1M, including leadership in the NSF-CRAFT Center for financial technologies. Active in organizing conferences on high-frequency data modeling. Labs & Teams: Director of the Hanlon Financial Systems Lab, a hub for fintech innovation. Collaborates with industry partners like UBS and CAPCO on projects like corporate credit rating systems and market simulation platforms (e.g., SHIFT).

• Process Engineering
• Desalination Technologies
• Wastewater Treatment
• +۳ مورد دیگر

Professor Iqbal Mujtaba is a Professor of Computational Process Engineering and Associate Dean (Learning & Teaching) at the University of Bradford. He holds prestigious fellowships from the Royal Academy of Engineering (FREng) and the Institution of Chemical Engineers (FIChemE), and is a Chartered Chemical Engineer. He is also an honorary professor at East China University of Science & Technology (ECUST), the University of Jordan, and Bangladesh University of Engineering & Technology (BUET). His research focuses on desalination, wastewater treatment, dynamic modeling of chemical processes, and the water-energy-food nexus. He has supervised over 40 PhD students and authored/co-authored multiple books on process engineering and water management, including Batch Distillation: Design & Operation and Desalination Technologies: Design and Operation . Education: BSc and MSc in Chemical Engineering from BUET (1983–1984), PhD from Imperial College London (1989). Key Roles: Former Head of the School of Engineering (2016–2018), Editor-in-Chief and Editorial Board member for journals such as Desalination and Processes . Collaborations: Over 40 countries, including the UK, China, Qatar, India, and Bangladesh, with funded workshops on water-energy security and the food-water-energy nexus. His research emphasizes industrial collaborations, knowledge transfer, and sustainable technologies. He has published over 420 technical papers and secured grants from bodies like the Royal Society and British Council. His work bridges academia and industry, focusing on impactful solutions for global challenges in energy, water, and environmental sustainability.