جست‌وجوی استاد و پژوهشگر

Solomon Berheمشاهده پروفایل

استادیار

• Software Engineering
• Software Ecosystems
• Industry 4.0
• +۵ مورد دیگر

Solomon Berhe serves as an Assistant Professor of Computer Science at the University of the Pacific in Stockton, California, with his office located in Chambers 117. Contactable via sberhe@pacific.edu, he brings over two decades of industry software development experience since 2001, including leadership in Industry 4.0 systems for healthcare, automotive, retail, and e-mobility sectors prior to his academic career. His educational background features: Ph.D. in Computer Science and Software Engineering from the University of Connecticut (2011) Dr. Berhe's research centers on data-driven modeling of software ecosystems with emphasis on risk assessment for maintenance efforts and access control-based secure software engineering. His work extends NIST RBAC standards into adaptive workflow models, addressing real-world challenges in Industry 4.0 contexts through empirical studies of update patterns, dependency tracking, and security frameworks. Teaching responsibilities include foundational courses in Software Engineering, Database Systems, and Mobile Application Development. Analysis of his 2020-2025 publications reveals a strategic evolution toward IoT security applications and AI-driven ecosystem analysis, with notable contributions in UML-based security visualization, software update impact triage, and thermal-imaging animal detection systems. This trajectory demonstrates consistent bridging of theoretical models with industrial implementation challenges across healthcare and emerging technology domains. Scientific Awards: No awards or fellowships documented in provided information While specific advisees and active grants are not detailed, his publication record and industry collaborations indicate substantial engagement in graduate mentorship and potential research funding for projects at the software engineering-cybersecurity intersection, particularly in risk modeling for evolving software ecosystems.

• Digital Signal Processing
• Wavelet Transform
• Remote Laboratories
• +۳ مورد دیگر

Dr. Đorđe Damnjanović is an Assistant Professor at the Department of Computer and Software Engineering within the Faculty of Technical Sciences in Čačak , part of the University of Kragujevac . He specializes in digital signal processing, wavelet transform applications, and remote laboratory development for engineering education. Born: July 17, 1986, Belgrade Education: B.Sc. (2010), M.Sc. (2011), Ph.D. (2022) in Electrical and Computer Engineering His research focuses on audio signal analysis using wavelets, human-computer interaction , and remote experimentation systems. He has led projects like the NeReLa Tempus Network and contributed to blockchain consensus mechanisms . Publications span biomedical signal processing, noise reduction, and educational technology. Recent work includes 2025 studies on vehicle vibration analysis and 2024 papers on mobile earthquake detection. He teaches Signals and Systems , Digital Signal Processing , and Human-Computer Interaction at graduate and postgraduate levels.

• Industrial Engineering
• Production Management
• Manufacturing Systems
• +۳ مورد دیگر

Dr. Jelena Jovanović is an Assistant Professor at the Department of Industrial Management, Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With a PhD in Mechanical Engineering specializing in Industrial Engineering, she has established herself as a prominent academic in the field of production management and industrial engineering. Her academic journey began at the Faculty of Transport and Traffic Engineering, University of Belgrade, leading to doctoral studies at the Faculty of Mechanical Engineering, where she defended her thesis on "Research on the Process of Managing the Production Cycle of a Complex Product" in 2015. Dr. Jovanović completed her elementary and secondary education in Čačak, specializing in Electrical Engineering with a focus on Automation. She earned her MSc in 2006 from the Faculty of Transport and Traffic Engineering, University of Belgrade, and her PhD in 2015 from the Faculty of Mechanical Engineering, University of Belgrade. Her academic career spans from 2006 when she began as a professional associate at the College of Technical Studies in Čačak, progressing to her current position as Assistant Professor since 2025. Dr. Jovanović's research focuses on Industrial Engineering, particularly in production cycle management, manufacturing systems optimization, and engineering management. Her work addresses critical challenges in production planning, process optimization, and resource management within complex manufacturing environments. She has made significant contributions to understanding the time and economic dimensions of production cycles, machine capacity utilization, and the application of advanced planning techniques in manufacturing systems. Her research bridges theoretical frameworks with practical applications, providing valuable insights for both academic and industrial communities in the field of industrial engineering. Her extensive publication record demonstrates a consistent focus on production cycle management, with recent work expanding into digitalization of production engineering, business-manufacturing systems modeling, and optimization processes. The research shows an evolution from foundational work on production cycle design to more sophisticated analyses incorporating economic dimensions, machine capacity utilization, and modern optimization techniques. Her work consistently addresses practical challenges in manufacturing while applying rigorous methodological approaches from industrial engineering and operations research. Dr. Jovanović has been actively involved in academic leadership and professional development. Since 2010, she has co-founded and managed the Production Engineering and Engineering Management Department at "Sloboda" in Čačak. In 2020, she led the project "Digitalization of the Cabinet for Production Engineering to Develop Students' Entrepreneurial Competencies," funded by the Ministry of Education, Science and Technological Development of Serbia. She has supervised numerous students and contributed significantly to curriculum development in industrial management and production engineering. Dr. Jovanović is an active member of professional communities, having joined the International Association of Engineers (IAENG) in 2012 and the Association of Engineers and Technicians of Serbia (SITS) in 2021. She has collaborated extensively with industry partners, particularly with "Sloboda" company in Čačak, on projects related to capital assessment, experimental measurements, and production optimization. Her work demonstrates a strong commitment to bridging academic research with practical industrial applications.

• Mechanical Engineering
• Process Engineering
• Agricultural Engineering
• +۳ مورد دیگر

Andrej Batos is a Researcher at the Faculty of Mechanical and Process Engineering , Hochschule Düsseldorf. His work focuses on multi-body and flow simulation, particularly for agricultural machinery and processes. Research Interests: Multi-body simulation, Flow simulation, Coupling of multi-body and flow simulation. Teaching: Festigkeitslehre (Strength of Materials) and Konstruktion von Maschinen (Machine Design). Key Research Trends: His publications emphasize simulation-driven design for agricultural equipment, including cutting processes, flow dynamics, and mechanical optimization of harvesters and gear systems. Recent work explores electrification in mobile machinery and smart dosing units for plant protection. Collaborations: Affiliated with the FMDauto – Institute for Product Development and Innovation , he collaborates on projects like SimFlow (funded by BMBF) to reduce harvest losses through advanced simulation techniques.

Jonas Peeckمشاهده پروفایل

پژوهشگر

• Real-time Communication
• Safety-critical Systems
• Autonomous Systems
• +۵ مورد دیگر

Dr. Jonas Peeck is a researcher at the Institute of Computer and Network Engineering (IDA), Braunschweig University of Technology. He teaches courses such as Introduction to Electronic Systems and Technische Informatik II for Bachelor students. His research focuses on time-critical communication processing of large data objects in safety-critical systems, with applications to autonomous systems, industrial automation, and robotics. Education PhD (Dr.-Ing.) in Computer and Network Engineering, TU Braunschweig, 2023 M.Sc. in Computer Science, TU Braunschweig, 2018 B.Sc. in Computer Science, TU Braunschweig, 2015 Jonas Peeck’s work examines sensor-to-actuator chains, prioritizing wireless communication reliability under resource constraints. His publications address real-time Ethernet protocols (TSN), CNN acceleration on multi-core processors, and error-resilient V2X data transmission. Key trends include data-centric communication, synchronization mechanisms, and resource-efficient middleware for autonomous systems. His research has been published in journals like ACM Transactions on Embedded Computing Systems and IEEE Transactions on Vehicular Technology , alongside conference papers at IEEE COMPSAC, RTSS, and IECON. Jonas Peeck’s work bridges theoretical analysis with practical implementations in mobility and industrial automation contexts.

Johannes Schmidمشاهده پروفایل

پژوهشگر

• Physics-informed deep learning
• Data-driven surrogate modeling
• Uncertainty quantification
• +۱۱ مورد دیگر

Johannes Schmid, M.Sc., is a Research Associate at the Chair of Vibroacoustics of Vehicles and Machines at the Technical University of Munich . His work focuses on integrating machine learning with computational acoustics, particularly in physics-informed deep learning and uncertainty quantification for vibroacoustic systems. Research Interests Physics-informed deep learning for acoustic modeling Data-driven surrogate modeling for dynamic systems Uncertainty quantification in industrial applications Stochastic Finite Element Methods Interactive acoustics apps for education Publications Schmid has authored/co-authored over 15 publications in computational acoustics, with recent work on neural networks for boundary integral methods, metamaterial design, and hybrid machine learning techniques. His research spans automotive applications, noise control, and educational tools. Laboratory Affiliation He is affiliated with the Chair of Vibroacoustics of Vehicles and Machines , contributing to projects on vehicle acoustics, fluid-structure interaction, and deep learning applications in engineering.

Liana Stanescuمشاهده پروفایل

استاد

• Computer Science
• Artificial Intelligence
• Medical Imaging
• +۳ مورد دیگر

Liana Stanescu is a Professor at the Faculty of Automatic Control, Computers and Electronics at the University of Craiova, Romania. Her research spans interdisciplinary domains at the intersection of computer science and medical technology. Email: liana.stanescu@ucv.ro Her research interests focus on artificial intelligence applications in software engineering and medical imaging, including: Automated testing frameworks Deep learning for medical image classification Graph-based volumetric segmentation techniques Comparative database analysis Recent publications highlight trends in AI-driven testing methodologies, hybrid medical-educational systems, and advanced database architectures. Key technologies explored include Petri Nets for dynamic system modeling and LiFi communication protocols. No formal scientific awards are publicly documented. She has developed practical tools for hospital automation, educational platforms, and medical data analysis systems.

• Cybersecurity
• Cybercrime
• Artificial Intelligence
• +۶ مورد دیگر

Enrico Mariconti is a Lecturer in the Department of Security and Crime Science at University College London (UCL). His research bridges computer science, statistics, and criminology to develop AI-driven tools for combating cybercrime, including malware detection, social engineering scams, and online harassment. He also explores applications of computational methods in forensic anthropology and cryptocurrency security. Current Appointment: Lecturer in Security & Crime Science, UCL Email: e.mariconti@ucl.ac.uk ORCID: 0000-0003-3005-8214 Mariconti’s research focuses on interdisciplinary cybersecurity, with specializations in AI-based fraud detection, social media privacy frameworks, and anomaly detection in autonomous vehicle systems. His recent work also addresses illicit drug marketing on digital platforms, forensic age estimation via auricular surface analysis, and the ethical challenges of deploying machine learning in sensitive security contexts. His publications span high-impact venues like IEEE Transactions on Intelligent Transportation Systems, Springer’s Crime Science, and ACM CCS. Key themes include federated security prediction, cryptocurrency scams, and behavioral modeling of malicious actors. He teaches Python programming to undergraduates and cybersecurity fundamentals at the postgraduate level.

• Deep learning
• Generative adversarial networks (GANs)
• Automotive software testing
• +۲ مورد دیگر

Dhasarathy Parthasarathy is a researcher at Chalmers University of Technology, Department of Computer Science and Engineering. His work focuses on applying deep learning techniques to automotive software development and testing. Key contributions include developing generative models for credible simulation environments and novel sampling algorithms like MLERP. PhD in Automotive Software Engineering (2023) Licentiate thesis on Deep Learning Simulations (2022) Research interests span: Deep learning for automotive systems GAN-based test stimulus generation Latent space manipulation Design compliance verification Sample selection bias mitigation His 15 most recent publications (2020-2025) focus on automotive software testing using: Generative adversarial networks Neural language models Explainable AI techniques Time-series simulation Current projects include AutoLang (2024-2026) adapting large language models for automotive software engineering, with industry partners including Volvo Group.

Eric Knaussمشاهده پروفایل

استاد

• Requirements Engineering
• Software Ecosystems
• Global and Cross-Organizational Software Development
• +۵ مورد دیگر

Eric Knauss is a Professor at the Department of Computer Science and Engineering, jointly affiliated with Chalmers University of Technology and University of Gothenburg. His research focuses on requirements engineering in large-scale agile systems, particularly addressing challenges in distributed software development, knowledge management, and stakeholder coordination. Research Interests: Requirements Engineering, Software Ecosystems, Agile Methods, Collaborative Traceability, and Digitalization. Students Supervised: Rashidah Kasauli (PhD), Rebekka Wohlrab (PhD). Eric's publications emphasize managing boundary objects in agile contexts, API fitness dimensions, and traceability practices. His work often involves empirical studies in automotive and FOSS ecosystems, highlighting communication patterns and tool support for requirement coordination. Awards: Best Paper Award (ICSA’19).

• Energy Engineering
• Thermal Engineering
• Combustion Engines
• +۳ مورد دیگر

Francisco José Jiménez-Espadafor Aguilar is a University Professor in the Department of Energy Engineering at the University of Seville. His research focuses on Thermal Machines and Engines with expertise in combustion processes, predictive maintenance, and supercritical fluid applications. Professional status: University Professor Department: Energy Engineering Research Group: Thermal Machines and Engines His research interests span energy engineering, thermal systems, and alternative fuels. Key areas include: Supercritical water oxidation for waste treatment Hydrogen and biodiesel combustion in engines Predictive maintenance systems for power plants Emission control and NOx reduction Thermal modeling of industrial equipment His articles focus on supercritical CO2 cycles, HCCI combustion, diesel engine diagnostics, and waste-to-energy technologies, covering energy systems, environmental engineering, and mechanical innovation. He holds multiple patents in: Acoustic material production from vehicle waste Diagnosis systems for diesel engines Supercritical water oxidation plant optimization He has advised 6 PhD students and participated in numerous industrial projects addressing energy efficiency, engine diagnostics, and sustainable power generation.

Ralf Deiterdingمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Numerical Methods
• Hypersonic Flow
• +۱۱ مورد دیگر

Professor Ralf Deiterding is a leading expert in Numerical Methods for Fluid Dynamics at the School of Engineering, University of Southampton . He also holds an Adjunct Associate Professor position at the Department of Mathematics, University of Tennessee - Knoxville . His work focuses on high-resolution computational methods for fluid-structure interaction, detonation waves, hypersonic flows, and adaptive mesh refinement. Education: PhD in Technical University Cottbus (2003), Diploma in Technical University Clausthal (1998) Research Interests span innovative numerical algorithms for compressible flows, rotating detonation engines , transpiration cooling , and magnetohydrodynamic solvers . He develops AMROC and Virtual Test Facility software frameworks for large-scale simulations. Scientific Contributions include parallel adaptive mesh refinement techniques for detonation physics, lattice Boltzmann methods for aerodynamics, and multi-physics simulations of hypersonic boundary layers. His publications emphasize detonation propulsion , shock-turbulence interaction , and parallel computing . Awards: ParCFD 2015 Best Paper Award Collaborations involve EPSRC-funded projects on hypersonic aerothermodynamics and atmospheric dispersion , with teams at Oak Ridge National Lab and DLR Göttingen. He supervises PhD students in computational fluid dynamics and contributes to space weather forecasting via MHD solvers.

Zachary Deppمشاهده پروفایل

مدرس

• Computer Networks
• Vehicular Cybersecurity
• Software-Defined Radios

Zachary Depp serves as an Instructor in the Electrical Engineering and Computer Science Department at the United States Military Academy (USMA), joining the institution in 2023 after completing his Master's degree. His military career spanned critical network engineering roles in the U.S. Army Signal Corps, including deployment to Afghanistan with US Forces as J-6 Network Engineer for NATO's Resolute Support mission. His educational background includes: M.S. in Electrical and Computer Engineering from The Ohio State University (2023) B.S. in Electrical Engineering with Honors from the United States Military Academy (2014) Depp's research centers on securing mobile communication systems, with emphasis on vehicular networks and software-defined radio vulnerabilities. His work bridges military tactical networking experience with civilian cybersecurity challenges, particularly in developing countermeasures against radio jamming and intrusion in connected vehicle ecosystems. The practical focus stems from real-world operational needs observed during his combat deployments. His publication activity demonstrates emerging expertise in vehicular security, highlighted by his 2023 VehicleSec paper on roll-jam attacks. This research pioneers methods to exploit known noise sources for enhanced attack detection, positioning him at the intersection of automotive engineering and network security. Future work is expected to expand into tactical military communication hardening based on his field experience.

Jörn Eichlerمشاهده پروفایل

استاد

• Cybersecurity
• Risk Assessment
• Automotive Security
• +۲ مورد دیگر

Prof. Dr. Jörn Eichler is a Professor in the Department of Computer Science at the Department of Mathematics and Computer Science, Freie Universität Berlin, leading the Secure Systems Engineering working group. His research focuses on risk assessments, protection concepts, security tests, and optimization of design processes for attack-resistant software systems throughout their lifecycle. His primary research interests span cybersecurity, risk assessment, automotive security, software security, and security engineering. He develops methodologies for modeling security risk assessments, streamlining ISO 21434 compliance, and implementing agile threat assessment frameworks. His work emphasizes practical applications in automotive systems, critical infrastructure, and business process security, with strong contributions to model-based security engineering and vulnerability prioritization. Analysis of his 15 most recent publications (2015-2023) reveals a dominant focus on automotive security risk assessment, particularly through ISO 21434 standardization. Key trends include modular risk assessment frameworks, threat modeling integration in agile development, and security goal validation techniques. His research consistently bridges theoretical modeling with industrial applications, especially in vehicle systems and critical infrastructure protection. Scientific awards: No scientific awards, fellowships, or medals are mentioned in the provided text. Prof. Eichler actively supervises student theses as evidenced by available, awarded, and completed theses listings in the Secure Systems Engineering group. Specific student names and grant details are not provided in the source material, though his publications indicate involvement in government-funded projects like ITS|KRITIS for critical infrastructure security. He directs the Secure Systems Engineering working group, which conducts applied research on security risk assessments, penetration testing methodologies, and lifecycle security optimization for software-based systems, with specialized focus on automotive and critical infrastructure domains.

• Biomedical Signal Processing
• Artificial Intelligence
• Control Systems
• +۷ مورد دیگر

Prof. Yalçın İşler is a distinguished academic at the Rafet Kayış Faculty of Engineering, Department of Electrical and Electronic Engineering, Alanya Alaaddin Keykubat University. He holds a PhD in Electrical-Electronic Engineering from Dokuz Eylül University and has served in various administrative roles including Department Head at Izmir Katip Çelebi University (2020-2025) and Bülent Ecevit University (2010-2012).