جست‌وجوی استاد و پژوهشگر

Mario Baldiمشاهده پروفایل

دانشیار

• Programmable data planes
• Software-defined networking
• Network security
• +۵ مورد دیگر

Mario Baldi is an Associate Professor (on leave) of Information Processing Systems at the Department of Control and Computer Engineering , Politecnico di Torino , and concurrently a Fellow in the Office of the CTO, Adaptive and Embedded Computing Group, at AMD, San Jose, CA. His career blends deep academic research with extensive industry R&D leadership. Education M.Sc. (Summa Cum Laude) in Electrical Engineering, Politecnico di Torino, 1993 Ph.D. in Computer and System Engineering, Politecnico di Torino, 1998 Research Focus Baldi’s research spans programmable data planes, software-defined networking, big-data analytics for network management, network security, high-performance switching architectures, optical networking, QoS mechanisms, and multimedia/voice-over-IP systems . He is especially known for pioneering work on P4 -based programmable networks and SmartNIC architectures. Publication & Patent Impact Across 150+ refereed papers and 35+ US patents (plus European filings), his recent output concentrates on machine-learning-driven network data-plane functions , disaggregated stateful network services , and cloud-grade DPUs . The 2021–2024 articles emphasize real-time inference directly in the network data plane and modular SDN programming. Awards & Honors Best Paper Award, IEEE ICC 2007 Best Paper Award, IEEE ISCC 2008 Best Paper Award, IEEE GreenComm 2009 Best Paper Award, ACM/IEEE WI/IAT 2014 Grants & Projects Baldi has served as Principal Investigator or Scientific Coordinator on numerous EU Framework and Italian national projects (PRIN, FAR), leading consortia on energy-efficient packet networks, trusted software execution, wireless mesh architectures, and streaming media delivery. Teaching & Mentoring He has taught graduate courses on Enterprise Network Technologies, Computer Network Technologies and Services, Networks/Cloud/Application Security at Politecnico di Torino since 2003. He has also supervised PhD collegi for the Computer and Systems Engineering doctoral program (cycles 19–23) and held visiting/adjunct positions across four continents. Labs & Teams Previously headed the NetGroup (Computer Networks Group) at Politecnico di Torino (2001–2007) and co-chairs the p4.org Architecture Workgroup , driving open standards for programmable networking.

• Network Security
• Wireless Communication
• Internet of Things
• +۳ مورد دیگر

Lashmi Kondoth is a PhD candidate and Academic Casual staff member at Macquarie University's Faculty of Science and Engineering, providing teaching support in the School of Computing and School of Engineering while pursuing doctoral research. Her research spans network security, wireless communication, IoT systems, robotics, VLSI design, and fuzzy logic applications. Key contributions include security frameworks for network-on-chip architectures, intrusion detection systems using ambient intelligence, and innovative designs in space robotics and hardware security. Her publication record (2017-2023) reveals consistent focus on embedded system security, highlighted by a highly cited IEEE Access review on wireless NoC security taxonomies. Recent works explore attack countermeasures, IoT-based monitoring systems, and hardware-level security enhancements like chip morphing techniques. As an Academic Casual tutor, she contributes to undergraduate education while advancing interdisciplinary research at the intersection of computer security and hardware design. Her scholarly output demonstrates strong technical expertise despite limited documentation of formal awards or grant funding.

María Dolores Valdés Peñaمشاهده پروفایل

استاد

• Reconfigurable Systems
• Field Programmable Gate Arrays (FPGA)
• Digital Signal Processing
• +۴ مورد دیگر

María Dolores Valdés Peña is a Professor at the Department of Electronic Technology, School of Telecommunications Engineering, University of Vigo (Spain). Her career spans over 25 years in academia and industry, with a focus on reconfigurable systems and FPGA applications. Education: PhD in Telecommunications Engineering (Cum Laude, University of Vigo, 1997), BS in Telecommunications Engineering (Universidad Central de las Villas, Cuba, 1990). Research Interests include FPGA-based data acquisition systems, digital signal processing, wireless sensor networks, neural networks, and FPSoCs for industrial applications. Her work bridges reconfigurable hardware with emerging technologies like IoT and AI. Recent Publications highlight trends in FPGA applications for industrial control, sensor calibration, IoT, and nanoscale reliability. She has contributed to advancements in Model Predictive Control, FPSoCs, and optical fiber sensor technologies. Scientific Awards: Extraordinary Doctoral Award (1997), 3 Six-Year Research Fellowships. Grants & Collaborations: Participated in 17 competitive public-funded projects, 5 research contracts (2 IP), and collaborated with INESC-IDE (Portugal), PUCRS (Brazil), and U.S. institutions. She held leadership roles in IEEE conferences and serves as Associate Editor for the IEEE Open Journal of the Industrial Electronics Society.

• Digital systems design on programmable logic chips
• FPGA-based computing acceleration
• Control automata optimization
• +۳ مورد دیگر

Dr. Irina Zeleneva is an Associate Professor at the Department of Computer Systems and Networks, Faculty of Computer Science and Technologies, Zaporizhzhia Polytechnic National University. With a Ph.D. in Computers, Systems, and Networks, she has 15+ years of academic experience since joining the university in 2003. Specializes in FPGA-based digital system design Focuses on hardware acceleration and reliability optimization Teaches advanced topics in microprocessor architecture Her research includes: Development of energy-efficient FPGA systems Hardware-software co-design Neural network text classification accelerators Reliable embedded control architectures Recent publications analyze FPGA implementation of floating-point multipliers, finite state machines with elementary state chains, and AI-enhanced educational frameworks . Her work frequently appears in international conferences like IDAACS and PIC S&T, with multiple Scopus/WoS indexed articles. Dr. Zeleneva's contributions: Co-author of two monographs on FPGA acceleration PI in multiple university research projects Active participant in annual "Week of Science" conferences

Wilfried Weberمشاهده پروفایل

استاد

• Synthetic Biology
• Biohybrid Materials
• Optogenetics
• +۳ مورد دیگر

Wilfried Weber is a leading academic in synthetic biology and biomaterials, currently serving as Scientific Director of the Leibniz Institute for New Materials (INM) and Professor (W3) for New Materials at Saarland University since 2023. Previously, he was Founding Scientific Director of CIBSS and Full Professor of Synthetic Biology at the University of Freiburg (2009–2023). His career spans roles as a Group Leader at ETH Zurich (2006–2009) and co-founder of BioVersys AG (2008). Research Focus: Interdisciplinary work at the intersection of synthetic biology and biomaterials, emphasizing optogenetic tools, CRISPR/Cas integration, and dynamic biohybrid circuits. Education: Diplôme d’Ingénieur en Biotechnologie (Strasbourg, 2000), PhD in Biotechnology (ETH Zurich, 2003–2005). His research interests include: Programmable biomaterials with synthetic biological components Optogenetic control of cellular processes CRISPR/Cas-based diagnostics and therapeutic delivery Dynamic gene expression systems with environmental responsiveness Recent publications highlight trends in biohybrid materials (2024–2025) for RNA detection and transcriptional control, alongside optogenetic receptor activation (2024) and redox biosensors (2023). His work bridges molecular design, material properties, and clinical translation. As Scientific Director of INM and CIBSS, he leads teams integrating synthetic biology with materials science, driving innovations in adaptive prototissues, therapeutic cell engineering, and noninvasive signaling tools.

Borut Robičمشاهده پروفایل

استاد

• Computability Theory
• Algorithms
• Parallel Computing
• +۵ مورد دیگر

Borut Robič is a Full Professor and Head of the Theoretical Computer Science Chair at the Faculty of Computer and Information Science, University of Ljubljana . He also serves as Head of the Laboratory for Algorithmics and President of the Faculty's Academic Assembly since 2005. His work spans computability theory, algorithms, and parallel computing, with notable contributions to foundational concepts and educational literature. University: University of Ljubljana School: Faculty of Computer and Information Science Roles: Professor, Head of Theoretical Computer Science Chair, Head of Laboratory for Algorithmics, President of Academic Assembly Robič's research interests focus on computability and complexity theory, algorithm design, and parallel computing frameworks. His publications emphasize historical context, formal methods, and modern computational paradigms like hypercomputing. Publication trends reveal a progression from foundational algorithmic theory (1999) to advanced computability research (2020), with a 2018 work bridging parallel programming and practical implementation. Projects include leadership in ARRS research programmes on parallel systems (2020-2026) and past collaborations on graph optimization and big data initiatives. Laboratory affiliations: Head of the Laboratory for Algorithmics and active member of its research team.

• Mechatronics Engineering
• Robotics
• Control Theory and Applications
• +۳ مورد دیگر

Aykut BİLİCİ serves as a Lecturer and Directorate Coordinator at Gaziantep University's Naci Topçuoğlu Vocational School within the Machinery and Metal Technologies Department. His academic appointments include roles as Vocational School Deputy Director (2016-2025) and Quality Board Member at Gaziantep University. His research focuses on industrial automation systems, with significant contributions in IoT applications for energy efficiency, robotics, and control theory. Publications demonstrate expertise in Arduino-based lighting optimization, stainless steel material modeling, and daylight harvesting systems. Current projects include EU-funded initiatives like 'Meeting with NEETS’ Needs in Digital Era' (2023-2024) where he serves as Project Coordinator Assistant. Key Projects: Gaziantep University Shoe Testing Laboratory Accreditation (2018-2019), 'Halıya Estetik Dokunuşlar' EU collaboration (2016-2017), Plastic Injection Mold Design (2019) Teaching portfolio spans Electrical and Automation Systems, E-Commerce, Programmable Logic Controllers, and Computer-Aided Circuit Design across 14 courses since 2014. His work bridges theoretical engineering with vocational training applications in Turkey's industrial sector.

Stanisław Flagaمشاهده پروفایل

مدرس

• Industrial Automation
• PLC Programming
• HMI Systems
• +۲ مورد دیگر

Stanisław Flaga is a Lecturer in the Department of Process Automation at AGH University of Science and Technology's Faculty of Mechanical Engineering and Robotics. His primary affiliation involves teaching and research in industrial control systems. Research interests center on: PLC (Programmable Logic Controller) programming for Siemens S7-1200/1500 and Eaton E4 systems HMI (Human-Machine Interface) panel configuration and visualization Analog I/O technology and signal processing Control algorithms and system simulation He directs a professional training course on PLC/HMI programming, covering hardware configuration, TIA Portal software, program structure, and real-time simulation. Participants must submit a personal questionnaire and payment confirmation to enroll.

Stephen Chongمشاهده پروفایل

استاد

• Programming languages
• Information security
• Language-based security
• +۳ مورد دیگر

Stephen Chong is a Gordon McKay Professor of Computer Science in the Harvard John A. Paulson School of Engineering and Applied Sciences, where he serves as Co-Director of Undergraduate Studies for Computer Science. His academic career spans over a decade of teaching and research at Harvard, where he has made significant contributions to programming languages and information security. Chong received his PhD from Cornell University under the guidance of Andrew Myers, and a bachelor's degree from Victoria University of Wellington, New Zealand. Prior to graduate school, he worked as a consultant and contractor in the software industry, bringing practical experience to his academic research. Professor Chong's research focuses on language-based information security, using programming language techniques to provide information security assurance. His work bridges the gap between theoretical foundations and practical applications, developing tools and frameworks that help programmers write trustworthy programs. His research has evolved to address increasingly complex security challenges in modern computing environments, from web applications to cyber-physical systems. His recent publications reveal a strong trend toward integrating advanced programming language techniques with security analysis, particularly through the use of Datalog, SMT solvers, and program synthesis. His work on Formulog has been particularly influential, extending Datalog with mechanisms to construct and reason about SMT formulas for static analysis. His research has expanded to address security challenges in cyber-physical systems, where sensor attacks pose unique threats to safety-critical infrastructure. Chong has received numerous prestigious awards including an NSF CAREER award, an AFOSR Young Investigator award, and a Sloan Research Fellowship. He has also served in leadership roles for major conferences including CSF 2012-2013, PLMW @ PLDI 2021, and as SIGPLAN-M Chair for 2025-2026. As an educator, Chong has mentored numerous students through Harvard's undergraduate research programs and has served as a thesis advisor. His teaching portfolio includes foundational courses like CS51, systems courses like CS61, and advanced topics in programming languages (CS152) and compilers (CS1530). He has been instrumental in shaping Harvard's computer science curriculum, particularly in security and programming languages. Chong leads a research group focused on language-based security, with projects including Formulog (for SMT-based static analysis), PRINCESS (for autonomous adaptation of software), and work on secure shell scripting (Shill). His group collaborates with researchers across Harvard and other institutions to tackle challenging problems at the intersection of programming languages and security.

• Cybersecurity
• Critical Infrastructure Protection
• Cyber-Physical Systems
• +۳ مورد دیگر

Saman Zonouz serves as Assistant Professor and Rutgers Site Lead for CREDC (Center for Risk and Economic Analysis of Threats and Emergencies) at Rutgers University, focusing on cyber-physical security for critical infrastructure systems. His research spans: Cybersecurity for electric power grids Cyber-physical system resilience Controller attack detection mechanisms Microgrid security hardening Runtime verification for industrial control systems Dr. Zonouz develops assessment frameworks including TSV (Trusted Safety Verifier) and CyPSA (Cyber-Physical Security Assessment), with publications emphasizing physical-layer security solutions that leverage system interdependencies to detect cyber intrusions in air-gapped environments. His work bridges theoretical security models with practical grid protection. As CREDC Rutgers Site Lead, he directs research on metrics for cyber resiliency measurement and tools for electric grid protection, contributing to national infrastructure security initiatives through technology development and assessment protocols.

• Random Number Generation
• Signal Synchronization
• Telecommunications
• +۶ مورد دیگر

Professor Mieczysław Jessa is a distinguished faculty member at Poznań University of Technology, serving in the Faculty of Information Technology and Telecommunications within the Institute of Multimedia Telecommunications. With a scientific discipline focused 100% on Information and Communication Technology, he has established himself as a leading researcher in random number generation, signal synchronization systems, and spectrum sensing techniques. His research interests center around hardware-based random number generators for cryptographic applications, precise synchronization of oscillators using GNSS signals, and advanced spectrum sensing methodologies. Professor Jessa's work bridges theoretical foundations with practical implementations, particularly in telecommunications security and precision timing systems. His recent publications demonstrate continued innovation in applying machine learning to spectrum sensing and developing low-complexity random number generation solutions for FPGAs. Professor Jessa maintains an active publication record with multiple articles in 2024-2025, reflecting his ongoing research contributions. His work spans both theoretical aspects of stochastic processes and practical implementations in measurement systems and secure communications. As an academic supervisor, Professor Jessa has guided doctoral research in areas including FPGA-based random sequence generation and spectrum sensing techniques, with documented supervision of three doctoral students through 2019. His technical contributions include the development of synchronization systems like the DST-16 clock distributors and SP-4000 measurement systems, demonstrating the practical application of his research in real-world telecommunications infrastructure.

Alexander Bolotovمشاهده پروفایل

استاد

• Automated Reasoning
• Graph-Based Reasoning
• Formal Methods
• +۱۳ مورد دیگر

Alexander Bolotov is a Professor at the University of Westminster's School of Computer Science and Engineering, where he serves as the Software Systems Engineering Research Group Leader and the Doctoral Researchers Development Programme Coordinator. He teaches Level 4 Mathematics for Computing and Level 5 Software Engineering Principles and Practice modules. His research spans Automated Reasoning, Graph-Based Reasoning, Specification and Verification of Complex Reactive, Concurrent and Distributed Systems, Formal Methods in Software Engineering, Logic, Temporal Logic, Proof Theory, On-Line Knowledge Repositories, and Ontologies. His expertise includes Formal Methods, Mathematical Modelling, Software Architecture, Program Reasoning and Logic Engineering. His recent publications demonstrate a strong focus on branching-time temporal logics, formal verification methods, ontology-based e-learning platforms, and applications in digital health evidence generation. His work bridges theoretical computer science with practical applications in healthcare, finance, and educational technology. Bolotov has successfully secured multiple research grants including Innovate UK projects RADIANT Implementation and RADIANT: Regulatory Science Empowering Innovation in Transformative Medical Software and AI, as well as funding from the Alan Turing Institute for developing frameworks for literature evaluation. He actively supervises doctoral students working on topics including ontology-driven frameworks for system integration, rich web applications, cloud computing load balancing, wireless sensor networks, and semantic selection of internet sources. His research group is involved with the Distributed and Intelligent Systems, Software Systems Engineering, and Centre for Parallel Computing.

• Artificial Intelligence
• Reinforcement Learning
• Multi-agent Systems
• +۷ مورد دیگر

Jun Wang is a Professor of Information and Data Science in the Department of Computer Science at University College London. He serves as the Founding Director of the MSc Web Science and Big Data Analytics program and is the Co-founder and Chief Scientist of MediaGamma Ltd (acquired), a UCL startup focused on AI for intelligent audience decision-making. His educational background includes: Doctor of Philosophy from Technische Universiteit Delft (2007) Master of Science from National University of Singapore (2003) Bachelor's degree from Southeast University Nanjing (1997) Professor Wang's primary research focuses on AI and intelligent systems, with particular expertise in multiagent reinforcement learning, deep generative models, and their applications across several domains. His work spans information retrieval, recommender systems and personalization, data mining, smart cities, bot planning, and computational advertising. His research has practical implications in healthcare, robotics, and intelligent systems for decision-making, aligning with Sustainable Development Goal 3 (Good Health and Well-Being). His recent publications demonstrate a strong trend toward integrating large language models with reinforcement learning techniques to create more efficient and capable systems. The research spans healthcare applications, robotics, information systems, and strategic decision-making, with an emphasis on privacy preservation, efficient computation, and multi-agent coordination. Professor Wang has received several prestigious awards: Beyond Search – Semantic Computing and Internet Economics award from Microsoft Research Yahoo! FREP Faculty award UCLB One-to-Watch award 2016 for MediaGamma First place in global real-time bidding algorithm contest (80+ participants worldwide) Multiple Best Paper awards With over 15 years of experience, Professor Wang has advised numerous startups including Last.Fm, Passiv Systems, Massive Analytic, Context Scout, and Polecat. He has also collaborated with major industry players such as BT, Microsoft, Yahoo!, Alibaba, and Didi. His knowledge transfer activities bridge academic research with practical industry applications. Professor Wang has developed the Information Retrieval and Data Mining MSc module and the MSc/MRes programme on Web Science and Big Data Analytics. He also teaches a multiagent AI MSc module, sharing his expertise in cutting-edge AI techniques with the next generation of computer scientists.

Paweł Dobrowolskiمشاهده پروفایل

مدرس

• Industrial Communication Networks
• System Modeling and Identification
• Control Systems
• +۳ مورد دیگر

Paweł Dobrowolski is a Lecturer and Tutor at Wrocław University of Science and Technology, specializing in industrial communication networks and automation systems. He works within the Laboratory of Automation Devices and Systems, focusing on practical implementations of protocols like PROFIBUS, PROFINET, EGD, and ASI in Siemens and GE controllers. Research areas: Industrial communication networks, system modeling, control systems, PLC programming. Contact: Email pawel.dobrowolski@pwr.edu.pl , phone +48 71 320 22 78, room 317, building C-3. Consultations: Tuesdays 13:00-15:00, Wednesdays 9:00-11:00.

• Technical Computer Science
• PLC Programming
• Embedded Software Systems

Volker Ahrens is a Professor of Computer Science at Rheinische Hochschule Köln (Cologne University of Applied Sciences). He transitioned to academia following a substantial industry career in the IT sector, bringing practical expertise to his teaching and research. His doctoral background in physics underpins his technical approach to computer science. Research Focus: Professor Ahrens specializes in applied technical computer science, with emphasis on industrial systems. Key areas include: PLC (Programmable Logic Controller) programming Embedded software systems development Integration of industrial software practices Professional Experience: Before academia, he held multiple senior roles: Systems Engineer at T-Systems Technology & Software Manager at Kocks Technik Managing Director at IDAS (software company) Sales and IT Manager at Schauf GmbH Project Manager at Advaneo, leading the PAIRS AI crisis-management initiative He actively incorporates this industry experience into his academic curriculum.