جست‌وجوی استاد و پژوهشگر

B Srivathsanمشاهده پروفایل

دانشیار

• Formal verification of real-time systems
• Automata theory
• Games
• +۱ مورد دیگر

B Srivathsan is an Associate Professor in the Computer Science Department at the Chennai Mathematical Institute . His research focuses on formal verification of real-time systems , automata theory , game theory , and concurrency . He has a dual degree in Computer Science and Engineering from IIT Bombay (2004-2009), a PhD from LaBRI, University of Bordeaux (2012), and post-doctoral experience at RWTH Aachen (2012-2013). Education: B.Tech + M.Tech, IIT Bombay Ph.D., University of Bordeaux Post-doc, RWTH Aachen Research Interests: He specializes in formal verification techniques for real-time systems using timed automata, with applications in critical systems like pacemakers. His work explores automata theory, game-theoretic approaches, and efficient algorithms for verification tasks, including zone-based abstractions and handling diagonal constraints. Publication Trends: His recent work (2024-2025) addresses event-clock automata simulations, MITL model-checking, and deterministic suffix-reading automata. Earlier publications (2019-2022) focus on local-time semantics, negotiation modeling, and scalable verification algorithms for timed systems. PhD Supervision: He advises five current students, including part-time student R. Keerthan at TCS Pune, and co-advises others with researchers from IIT Bombay and ENS Paris-Saclay. Three students have completed their PhDs under his guidance. Professional Service: He serves as President of IARCS (2024-present), previously as Secretary (2017-2023), and chairs program committees for conferences like ATVA 2025. He organizes workshops including the IARCS Verification Seminar and Games Workshop 2020 .

• Theoretical Asset Pricing
• Information Economics
• Financial Markets
• +۳ مورد دیگر

Paula Cocoma is an Assistant Professor of Finance at Frankfurt School of Finance & Management. Her research focuses on theoretical asset pricing, information economics, and financial market dynamics, utilizing tools such as General Equilibrium and Optimal Stopping Problems. Bachelor's in Industrial Engineering, Universidad de Los Andes Master of Finance, MIT - Sloan School of Management M.Sc. and Ph.D. in Management, INSEAD Her work integrates industry experience in risk management (DekaBank) and quantitative research (StateStreet, BlackRock). Recent publications examine investor behavior, passive governance inefficiencies, pre-announcement drift, and momentum crash theories. Paula teaches Quantitative Portfolio Management in the Master of Finance program. Contact details include a phone number ( 0049 69 154008-446 ) and office location (Room 3.14).

Sergei Savitskyمشاهده پروفایل

استاد

• Reconfigurable Computing
• Digital Signal Processing
• Hardware Architectures
• +۳ مورد دیگر

Sergei Savitsky is a Professor at Wedel University of Applied Sciences, where he serves as Head of the Bachelor of Computer Science program and Senate Chairman. He has been a university lecturer at the institution since October 2008, following professional experience at NXP Semiconductors (2006-2008) and Philips Research Europe (2001-2006). His educational background includes: Doctorate in Engineering (Dr.-Ing.) from Technical University of Dresden (2002) with distinction "summa cum laude" Habilitation (Dr.-Ing. habil.) from Technical University of Dresden (2024) with teaching authorization in "Technical Computer Science" Diplom-Informatiker (equivalent to MSc) in Computer Science from Technical University of Dresden (1998) Savitsky's research focuses on reconfigurable computing systems , with particular expertise in FPGA design, hardware acceleration, and error correction coding. His work bridges theoretical computer science with practical hardware implementation, resulting in numerous patents and publications in top venues. He has made significant contributions to the development of adaptive hardware architectures for forward error correction, which are critical for modern communication and storage systems. His recent publications demonstrate a strong trajectory in optimizing hardware design processes, with particular focus on applying machine learning techniques like self-organizing maps and gradient descent algorithms to improve FPGA placement efficiency. His research spans both theoretical foundations and practical applications, with patents filed in collaboration with industry partners like NXP Semiconductors and ST-Ericsson. Among his recognitions is the Best Paper Award at CENICS 2019 for his work on accelerating FPGA placement algorithms. As an educator, Savitsky teaches courses related to digital system design, including "Computer-aided design of digital systems," where he emphasizes algorithmic aspects of Electronic Design Automation beyond basic digital technology concepts.

Atilla Wohllebeمشاهده پروفایل

استاد

• E-Commerce
• Digital Business Models
• Mobile Marketing
• +۶ مورد دیگر

Dr. Atilla Wohllebe is a Professor for E-Commerce & Digital Business Models at Wedel University of Applied Sciences since 2022. He actively contributes to both academic and industry advancements through his research on digital customer engagement, mobile applications, and CRM strategies. His work bridges theoretical frameworks with practical implementations in retail and e-commerce environments. He holds a PhD from the Hungarian University of Agriculture and Life Science (2019-2022), an MSc in E-Commerce from Wedel University, and a BA in Business Administration from Hamburg School of Business Administration. His academic contributions are complemented by industry experience as Senior App Marketing Manager at hagebau connect GmbH & Co. KG (2019-2022) and Marketing Manager at OTTO GmbH & Co. KG (2017-2019). Research Focus : Wohllebe's work centers on the intersection of retail, technology, and customer behavior . Key areas include: Digital customer engagement through smartphone apps Mobile marketing and CRM strategies Business model innovation in digital commerce User experience in omnichannel retail Artificial intelligence applications in marketing Sustainability integration in digital business Publication Trends : His 15 most recent publications (2020-2024) demonstrate expertise in app marketing, push notification optimization, business model analysis, and AI in e-commerce . The work spans technical implementations, consumer behavior studies, and strategic frameworks for digital transformation in retail environments. Scientific Recognition : App Award 2022 (Diy stores) – German Society for Consumer Studies Multiple App Awards (2020-2021) – Austrian & German Societies Germany’s Best Online Shops 2020 – German Institute for Service Quality Academic Service : As Chair of the Ethics Commission (since 2024) and member of the Examination Regulations Committee (since 2023), Wohllebe actively shapes academic governance. He supervises theses and contributes to curriculum development in both BSc and MSc E-Commerce programs. Industry Engagement : Serves on advisory boards for Transporo GmbH (logistics) and Greenbaker Foundation (sustainable bakeries) since 2022-2023. Co-founded Wohllebe & Ross Publishing to advance open-access research in business and digital technologies.

Sibel Altinمشاهده پروفایل

استاد

• Health Management
• Digital Health
• Health Services Research
• +۲ مورد دیگر

Prof. Dr. Sibel Altin is a Professor of Health and Care Management at Frankfurt University of Applied Sciences, affiliated with the College of Social Work and Health since 2023. She holds a B.Sc. (2007–2010), M.Sc. (2010–2012), and Ph.D. (2016) in Health Economics from the University of Cologne, Germany. Prior to her current role, she served as Head of Department at AOK Rheinland Hamburg (2020–2023) and conducted postdoctoral research at the University of Duisburg-Essen (2016–2018). Her research focuses on: Health Services Innovation : Designing and evaluating novel care models (e.g., telemedicine, health kiosks) for chronic diseases. Digital Health : Implementing and assessing digital applications in clinical and community settings. Health System Analysis : Comparative studies of financing, regulation, and service delivery in international contexts. Her work emphasizes practical solutions for improving accessibility and efficiency in healthcare systems. Publication analysis reveals a strong emphasis on health literacy , telemedicine interventions , and chronic disease management . Recent articles (2021–2023) show increased focus on digital health RCTs and patient-centered care models, while earlier work (2016–2019) centered on health policy and system comparisons. Methodologies include randomized trials, cross-sectional surveys, and qualitative focus groups. She leads major federally funded projects: TeLIPro (2017–2022): €8M telemedicine program for Type 2 diabetes funded by Innovationsfonds. NAVIGATION (2024–2027): Sustainable community health centers. SGB REHA (2022–2026): Gerontopsychiatric rehabilitation in nursing homes.

• Power Electronics
• Electromagnetic Compatibility (EMC)
• Renewable Energy Systems
• +۴ مورد دیگر

Prof. Dr. Marco Chiado Caponet is a Professor of Power Electronics at Berlin University of Technology . His research focuses span power electronics, electromagnetic compatibility (EMC) , and wide bandgap (WBG) semiconductors for applications in electric vehicles , photovoltaic systems , and high-efficiency inverters . Education: Master's (1995) and Ph.D. (2000) in Electrical/Electronic Engineering from Polytechnic of Turin. Professional History: Developed power electronics at Prima Electronics (1996–1997), research assistant at Polytechnic of Turin (1997–1999), and visiting researcher at RWTH Aachen (1998–1999). Later served as Ministerial Official (2004–2008), Director of the Don Bosco Institute (2008–2014), and held professorships at RheinMain University of Applied Sciences (2014–2016), Ravensburg-Weingarten University (2015), Wismar University (2016–2020), and Berlin University of Technology (since 2020). Research Trends: Specializes in EMC-optimized inverter design , WBG semiconductor characterization (GaN/SiC), and thermal performance for industrial and traction applications. Publications highlight advancements in low-cost power factor correction , noise suppression , and high-efficiency photovoltaic inverters . Scientific Awards: IEEE Senior Member (2021) Advising: Offers thesis topics in DC/DC converters , WBG semiconductors , and renewable energy systems . No explicit student list provided.

• Distributed Computing
• High-Performance Computing
• Parallel Systems
• +۷ مورد دیگر

Tore Brox-Larsen is an Associate Professor in the Department of Informatics at UiT The Arctic University of Norway. He is actively involved in research and teaching, with a focus on distributed computing, high-performance systems, and visualization technologies. His work is centered on scalable systems for large displays, sensor networks, and remote data visualization, often in collaboration with interdisciplinary teams. His research interests include distributed and parallel computing, remote visualization over wide-area networks, large-scale display systems, health informatics, and Arctic monitoring technologies. He has contributed significantly to the development of systems for tiled display walls, genomics visualization, and sensor-based observatories. His work bridges theoretical computer science with practical applications in healthcare, environmental monitoring, and collaborative research environments. The most recent publications reflect a strong trend in applying computing technologies to real-world challenges, particularly in Arctic research and healthcare. His work emphasizes performance optimization, usability, and scalability in distributed systems. Topics span from low-level communication latency analysis to high-level collaborative visualization frameworks. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: There is no explicit information about students advised or research grants received. However, his extensive publication record and collaborative projects suggest active participation in funded research initiatives and potential mentorship of junior researchers and students. Labs and Teams: Tore Brox-Larsen is part of a long-standing research group at UiT involving Otto Anshus, John Markus Bjørndalen, and others, focusing on high-performance distributed systems. He has contributed to the development of the MultiStream system, scalable display walls, and the Arctic observatory sensor network. His work indicates involvement in both software and systems research teams, likely associated with UiT’s informatics infrastructure and high-performance computing initiatives.

Florian Steinkeمشاهده پروفایل

استاد

• Energy Management Systems
• Machine Learning Applications in Energy
• Distributed Control Systems
• +۵ مورد دیگر

Prof. Dr. Florian Steinke is a Professor and Head of the Energy Information Networks and Systems Department at Technische Universität Darmstadt. His academic career spans roles at Siemens Corporate Technology (2009–2016) and a PhD in machine learning at the Max Planck Institute for Intelligent Systems (2006–2008). His research focuses on algorithmic energy management, distributed control systems, machine learning applications in energy grids, and resilient smart grid design. Education: PhD in Machine Learning (Max Planck Institute for Intelligent Systems, 2006–2008) Diplom in Computational Physics (University of Tübingen & University of Washington, 1999–2005) Research Interests: Development of cyber-physical systems for energy grids Optimization of thermal-electric systems using game theory and stochastic control Integration of social media data for demand forecasting Cybersecurity measures against adversarial attacks on grids Recent work emphasizes probabilistic grid modeling, resilient energy market design, and AI-driven control strategies for Fourth Generation district heating grids. His platform ecosystem research aims to support the energy transition through data-driven solutions. Labs/Teams: Leads the Energy Information Networks and Systems research group, focusing on interdisciplinary projects combining automation, data science, and energy systems engineering.

Helena van Vorstمشاهده پروفایل

دانشیار

• Chemistry Education
• Science Education
• Context-Oriented Teaching
• +۷ مورد دیگر

Dr. Helena van Vorst is a faculty member in the Department of Chemistry Didactics at the University of Duisburg-Essen, within the Faculty of Chemistry. She completed her habilitation in January 2024, solidifying her role as an independent academic leader. She previously served as Acting Professor at the University of Cologne and currently holds the civil service position of Academic Councillor, equivalent to Associate Professor. She is also Managing Director of the Society for Chemistry and Physics Education (GDCP) since 2022 and an elected board member of the Interdisciplinary Center for Educational Research. Doctorate (Dr. rer. nat.) in Natural Sciences, summa cum laude, University of Duisburg-Essen (2012) First State Examination in Chemistry and German for Secondary Education, University of Duisburg-Essen (2009) Habilitation in Chemistry Didactics, University of Duisburg-Essen (2024) Her research centers on improving science education through evidence-based methods. Key interests include context-oriented teaching, where real-world scenarios increase student engagement; structuring learning via 'Lernleitern' (learning ladders) to scaffold understanding; and promoting inclusion in chemistry classrooms. She emphasizes empirical evaluation of teaching innovations and the development of differentiated materials that cater to diverse student needs and interests. The recent publications reflect a strong focus on the effectiveness of structured, context-rich teaching tools. A recurring theme is the use of 'learning ladders' to organize instruction and support differentiation. Studies analyze how context characteristics influence student interest and performance, particularly across gender and cognitive dimensions. Other works explore challenges in scientific language, mathematical modeling in physical chemistry, and inquiry-based learning in inclusive settings. The body of work demonstrates a consistent commitment to bridging theory and practice in chemistry education. Fellow of the Fellowship Program MINT Didactics, Deutsche Telekom Foundation (2018–2023) University Prize for Outstanding Academic Achievements, University of Duisburg-Essen (2013) Waxmann Poster Prize, AEPF Conference (2011) First Prize in Chemistry Program, First State Examination (2010) Doctoral Scholarship, German Research Foundation (DFG) (2010–2012) Dr. van Vorst advises multiple doctoral students across funded projects, including those supported by the Mercator Foundation, Chemical Industry Fund, and RAG Foundation. Her leadership in the Graduate School on Cross-Sectional Issues in Teacher Education (GKqL) and subprojects under Teaching-Learning-Innovations at UDE highlights her active role in shaping teacher training. She develops and disseminates teaching materials, such as digital learning ladders and context-based units on acids and bases, contributing directly to classroom practice. She leads and contributes to research teams focused on inclusive science education, teacher development, and curriculum innovation. Her work with the Interdisciplinary Center for Educational Research and the Society for Chemistry and Physics Education underscores her collaborative and organizational leadership in the academic community.

Zahra Ebrahimi Mamaghaniمشاهده پروفایل

پژوهشگر

• Approximate Computing
• Reconfigurable Accelerator Design
• In-Network Computing for 5G/6G
• +۳ مورد دیگر

Zahra Ebrahimi Mamaghani is an academic researcher affiliated with the Embedded Systems team at the Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum. Her work focuses on approximate computing, reconfigurable accelerators, and energy-efficient embedded systems. She completed her B.Sc. and M.Sc. at Sharif University of Technology (Iran) and is a PhD student at TU Dresden. She managed the X-DNet (BMBF-funded, collaborating with Huawei) and GREEN-DNN (acatech/BMDV-funded) projects, emphasizing distributed and in-network computing for 5G/6G applications. Education: B.Sc. and M.Sc. in Electrical Engineering, Sharif University of Technology, Iran PhD Candidate at TU Dresden (Cfaed Institute, 2018–2024) Research Projects: ReAp (DFG, 2018–2021) Relearning (ESF, 2021–2023) X-ReAp (DFG, 2023–2025) X-DNet (BMBF, with Huawei) GREEN-DNN (acatech/BMDV) Research Interests: Approximate computing, energy-efficient edge-to-cloud systems, SW/HW co-design, and reconfigurable architectures for 5G/6G. Her recent publications emphasize cross-layer approximation techniques, energy-efficient CGRAs, and distributed computing frameworks for multi-kernel applications. She advises students on topics like approximation of ML models for high-throughput systems, requiring expertise in FPGA programming (Verilog/VHDL), Python, and ML frameworks like TensorFlow/PyTorch. Her lab focuses on embedded systems and collaborates with industry partners like Huawei. She holds a notable position in managing interdisciplinary projects bridging academia and industry, particularly in sustainable computing for next-generation networks.

Andreas Deckertمشاهده پروفایل

پژوهشگر

• Non-Communicable Diseases (NCDs)
• Epidemiology
• Global Health
• +۴ مورد دیگر

Dr. Andreas Deckert is a Scientist at the Heidelberg Institute of Global Health (HIGH), University of Heidelberg. He holds roles including Principal Investigator (PI) and project manager in multiple international health initiatives. His work focuses on non-communicable diseases (NCDs), epidemiology, public health, and global health systems. He has led projects in Zambia, Malawi, Uzbekistan, Ethiopia, and Cambodia, emphasizing capacity building and NCD integration in healthcare systems. Education: PhD in Epidemiology (2013, Heidelberg University), Dipl. Inform. Med. (2008, Heidelberg University). Research Interests: NCD prevention, health system strengthening, migrant health, and pandemic response strategies. Key contributions include the CoNoCo project in Zambia (2023–2029), SARS-CoV-2 surveillance trials (B-FAST), and capacity development programs in Africa. He also oversees global health education initiatives, including Master’s programs in medical biometry and epidemiology. Publications span NCD epidemiology, antimicrobial resistance, cervical cancer screening, and migration health. Collaborations include institutions in Liberia, Uzbekistan, and Southeast Asia. He has secured grants from DAAD, EKFS, and the German Federal Ministry of Education and Research (BMBF).

Jürgen Bechtloffمشاهده پروفایل

استاد

• Mechatronics
• Automation Technology
• Digital Production
• +۳ مورد دیگر

Prof. Dr.-Ing. Jürgen Bechtloff serves as Professor of Measurement, Control and Regulation Technology at the South Westphalia University of Applied Sciences since 1998. He has held significant administrative roles including Founding Dean of Mechanical and Industrial Economics (2002-2004), Dean of Engineering and Economics (2004-2012), and Head of Scientific Center for Dual Studies and Continuing Education (2012-2019). His academic career spans industrial experience at Klöckner-Moeller GmbH (1992-1998) and academic research at TU Braunschweig (1987-1992). Education: Diplom from TU Braunschweig (1987), Dr.-Ing. from TU Braunschweig (1992) Laboratory: Operates the TransferFactory Industry 4.0 demonstrator since 2013 Research Focus: Industrial automation systems, particularly in Industry 4.0 implementation, Digital Production methodologies, and Mechatronic Systems simulation. His work emphasizes practical solutions for real-world challenges in: IoT gateway and platform integration Feasibility studies and implementation support Control engineering and measurement technology Electronics cam systems for motion control Robotic programming and interpolation methods Publication Trends: 15 most recent publications (2000-2020) demonstrate consistent focus on Industry 4.0 implementation, Mechatronics , and Digital Production technologies. His work bridges theoretical concepts with practical applications through case studies and demonstrator projects like the TransferFactory system. Teaching Contributions: Coordinates courses in Mechatronic Systems and Simulation and Digital Production for both bachelor and master programs, with emphasis on project-oriented learning and practical implementation of automation concepts using modern tools like MATLAB/Simulink. Technology Transfer: Provides services in measurement technology (data processing/visualization), control engineering (simulation and implementation), and mechatronics (3D motion design, kinematic analysis). Operates with state-of-the-art equipment including Beckhoff TwinCAT, Siemens S7/TIA systems, ABB/Kuka robots, and MES platforms.

Stefan Seifermannمشاهده پروفایل

استاد

• Energy Flexibility in Manufacturing
• Renewable Energy Systems
• Lean Production
• +۴ مورد دیگر

Stefan Seifermann is a Professor for Production and Logistics at the Faculty of Industrial Engineering, Technische Hochschule Mannheim, since March 2019. He became Prodekan (dean) of his faculty in July 2022 and previously served as Studiengangleiter (program director) for the Master in Industrial Engineering from July 2019 to March 2023. Diploma in Industrial Engineering (TU Kaiserslautern, SFU Vancouver 2004) Dr.-Ing. (2017, TU Darmstadt) for dissertation on hybrid production cell automation His research focuses on Energy Flexibility in Manufacturing , Renewable Energy Systems , Lean Production , Production Process Optimization , Production Automation , and Industry 4.0 . He leads funded projects like the Kopernikus SynErgie series and FLoW-mIT. Recent publications analyze blockchain for supply chain traceability, deglobalization trends in manufacturing, and energy-flexible factories. He holds an office at Building L, Room 254, reachable at +49 621 292 6837. 2025 : KPI standardization in shopfloor management 2024 : Cost-benefit analysis of energy flexibility options 2023 : Environmental assessment of geothermal plants 2022 : Blockchain tracking, techno-economic flexibility studies 2018 : Value stream method 4.0, CNC automation 2017 : Flexible lean systems design in logistics He contributes to the Kopernikus Projects (SynErgie2-3) and FLoW-mIT (2023-2025), addressing energy grid stabilization and adaptive production systems. His work bridges technical feasibility with economic viability.

Ralf Hagemannمشاهده پروفایل

مدرس

• Embedded Systems
• Software Engineering
• Programming Education
• +۵ مورد دیگر

Ralf Hagemann is a Lecturer/Research Associate at Osnabrück University of Applied Sciences, specifically within the Faculty of Engineering and Computer Science . His academic work combines Embedded Systems , Software Engineering , and innovative teaching methods like Problem-Based Learning . He actively develops educational hardware and tools for engineering education. Embedded Systems Board design (STMNucleo32-Baseboard) Problem-oriented curriculum development for computer science students Qt-based visualization frameworks for algorithm training His research spans geometric algorithms (2013 dissertation), digital signal processing (1991 thesis), and domain-specific programming languages (1997 PIPL invention). Recent publications focus on multicultural engineering education and cost-effective product development . As a part-time faculty member , he leads technical workshops and contributes to European Project Semester initiatives. His 1991 Diplomarbeit at Fachhochschule Bielefeld laid foundations for his work in hardware-software integration . He regularly demonstrates his MpC-Bildschirmstellwerk software at international model railway exhibitions (2008-2016) and has published in journals like MIBA digital Extra and Eisenbahn Kurier .

Benny Selleمشاهده پروفایل

استاد

• Hydrology
• Water Protection
• Soil Hydrology
• +۶ مورد دیگر

Prof. Dr. Benny Selle is a Professor of Hydrology and Water Protection at the Berlin University of Technology , affiliated with the Department of Civil Engineering and Geoinformation . His research focuses on hydrological system variables , process models , and causal interactions in water quality and management. Education: Diploma in Geography (University of Leipzig, 2001) with minors in Geology and Economics. Doctorate in Soil Physics (University of Bayreuth, 2005). Habilitation in Mathematics and Natural Sciences (University of Tübingen, 2014). Re-habilitation in Agriculture, Civil Engineering and Environment (University of Rostock, 2024). Research Interests include dissolved organic carbon mobilization , contamination processes in water bodies , and innovative water management solutions . His work often integrates bottom-up/top-down modeling approaches to address ecological and social relevance of hydrological relationships. Committee Activities: Active member of the Catchment Hydrology committee (European Geoscience Union, since 2008). Member of the Commission for the Opinion on Appointment Procedures at Berlin Tech (since 2017). Associate Editor of Hydrology and Water Management (HyWa) (since 2018). Member of the working group Deadwood in Water Management (DWA AG GB 2.20, since 2019). Member of the Academic Senate (Berlin Tech, since 2021). Teaching Philosophy emphasizes independent learning , student discussion , and supporting diverse academic potentials . He supervises theses on topics such as urban water management , cleaning urban drains , and remediation of contaminated sites . Professional Experience spans institutions like the University of Bayreuth , WESS (Tübingen) , and University of Potsdam , with a career in Australia as a Hydrologist & Systems Modeller (2005-2010).