Find Academic Supervisors

Wolfgang EchelmeyerView profile

Professor

• Logistics and Supply Chain Management
• Material Handling
• Operations Research
• +3 more

Professor Wolfgang Echelmeyer is a faculty member at Reutlingen University’s Faculty of Sustainability and Technology, specializing in Technical Logistics. His research focuses on logistics automation, human-robot interaction, and sustainable supply chain systems. Position: Professor Department: Technical Logistics Email: wolfgang.echelmeyer@reutlingen-university.de Research interests include robotic container unloading, lean logistics, and ergonomics in automated systems. Recent projects involve EU-funded initiatives like RobLog (EU# 270350) for cognitive robotics in freight handling. His work spans applications in city logistics, milk-run transportation systems, and decision support tools for automation investments. Key article trends explore robotics in logistics, sustainability in freight systems, and ergonomic resource planning. Publications from 2018–2024 emphasize innovative solutions for intermodal terminals, deformable cargo handling, and smart transportation networks. Administrative roles include Dean of Studies for the BSc in Sustainable Production and Business and Pro-Dean for Teaching at the Faculty of Sustainability and Technology. Collaborators include Marco Bonini, Tuan Nguyen, and Augusto Urru. Labs and teams: Active in projects like LogFabr (Logistics Fabrication) and partnerships with industry leaders such as Merck AG, Proctor & Gamble, and STIHL. His work addresses real-world challenges in logistics planning and automation deployment.

Paul FortierView profile

Professor

• Digital Communications
• Internet of Things
• Cyber-Physical Systems
• +7 more

Paul Fortier is a Full Professor at the Department of Electrical Engineering and Computer Engineering , Université Laval, with a career spanning over three decades. His work focuses on Digital Communications , Internet of Things (IoT) , Cyber-Physical Systems , and Wireless Communication Systems , particularly exploring complexity-performance tradeoffs in hardware implementations. PhD in Electrical Engineering, Stanford University (1989) MSc in Statistics, Stanford University (1987) MSc and BSc in Electrical Engineering, Université Laval (1984, 1982) His research integrates Machine Learning with FPGA architectures for applications like real-time hand gesture recognition and hardware-in-the-loop simulation . Current projects include Advanced Digital Twin Development and Quantum-Resistant Communication Protocols under the Quebec Strategic Microsystems Group . Key contributions appear in IEEE Transactions on Vehicular Technology , IEEE Internet of Things Journal , and IEEE Transactions on VLSI Systems . He has secured major grants from Fonds de recherche du Québec and NSERC for initiatives like Hardware-in-the-Loop Simulators and Wireless Cybersecurity Research . Fellow, Engineering Institute of Canada Fellow, Canadian Academy of Engineering Senior Member, IEEE

Amal MersniView profile

Assistant Professor

• Telecommunications
• Networking
• Cybersecurity
• +4 more

Dr. Amal Mersni is an Assistant Professor at the International University of Sarajevo (IUS). She holds a PhD in Telecommunication Systems and Networks, with expertise in Networking and Cybersecurity. Dr. Mersni actively promotes women's participation in computing through her involvement in ACM-W (Association for Computing Machinery - Women) and initiatives like the WoCa Lunch program . Her research spans two major areas: technical advancements in telecommunications (e.g., Software-Defined Networking, Fault Tolerance, Traffic Engineering, Cloud Computing) and gender-related challenges in ICT. Her recent work highlights intersections between cybersecurity, gender equality, and education, including studies on women's PhD motivations and gender disinformation threats. The 15 most recent publications reflect a balanced focus on network optimization (e.g., routing models, fault tolerance) and gender dynamics in computing (e.g., women in ICT, academic career perceptions). Dr. Mersni contributes to over 40 scientific publications and has developed educational tools like virtual laboratories for cybersecurity courses. She is also a certified Cisco Instructor with industry certifications.

Yang WangView profile

Associate Professor

• applied microeconomics
• health economics
• applied econometrics

Yang Wang is an Associate Professor of Public Affairs at the La Follette School of Public Affairs, University of Wisconsin-Madison, with faculty affiliations spanning the Center for Demography and Ecology, Center for Demography of Health and Aging, Center for Financial Security, Institute for Research on Poverty, and the Risk Management and Insurance Department in the Wisconsin School of Business. Her educational background includes: Ph.D. in Economics, Duke University M.A. in Economics, Duke University MIPA in International Public Affairs, University of Wisconsin-Madison B.A. in International Relations, Peking University Dr. Wang's research focuses on applied microeconomics, health economics, and applied econometrics, with publications in high-impact journals including the American Economic Journal: Applied Economics and Health Economics. Her work examines policy impacts on health outcomes, economic disparities, and demographic trends, notably contributing to The Oxford Handbook of Economics and Human Biology. Her recent 2025 publications reveal a significant expansion into intelligent transportation systems, with 15 articles centered on autonomous vehicle technologies. These works explore cloud-based driving systems, edge computing architectures, and vehicle-to-everything communication frameworks, addressing critical challenges in adverse weather navigation, safety protocols, and computational resource allocation for connected vehicles. As Co-Principal Investigator for the project 'The Consequences of Abortion Restrictions for Intimate Partner Violence and Child Welfare Involvement,' Dr. Wang leads interdisciplinary policy analysis. She teaches core courses including PA 281 Discovering What Works in Health Policy and PA 871 Public Program Evaluation, mentoring students in evidence-based policy design. Her research integrates with UW-Madison's ecosystem through collaborations with transportation innovation initiatives and demographic research centers, positioning her at the intersection of public policy and emerging technology governance.

Rishabh IyerView profile

Assistant Professor

• Computer Systems
• Operating Systems
• Networking
• +5 more

Rishabh Iyer is an Assistant Professor in the Electrical Engineering and Computer Sciences department at the University of California, Berkeley. His research focuses on developing techniques that enable engineers to build systems with well-understood performance and functionality. Iyer is affiliated with the Networked Systems Lab (NETSYS) at Berkeley and teaches courses such as CS 294-262: Performance Analysis and Optimization of Computer Systems. Dr. Iyer completed his PhD at EPFL in Switzerland and his bachelor's degree at IIT Bombay. His educational background includes: 2023, PhD, Computer Science, EPFL, Switzerland 2017, BTech, Electrical Engineering, IIT Bombay Iyer's research spans multiple areas in computer systems, with a particular focus on performance analysis and optimization. His work draws insights from operating systems, networking, computer architecture, and formal methods. He has developed techniques for creating performance interfaces that allow engineers to reason about system performance before deployment, focusing on areas such as packet processing applications, OS system calls, cryptographic libraries, and specialized hardware accelerators for deep learning. His research also includes work on kernel extensibility through frameworks like KFlex, which improves the flexibility of eBPF extensions in Linux while maintaining negligible performance overheads. Additionally, he has contributed to building reliable and provably correct systems, particularly in the domain of software-defined wide-area networks and network packet-processing applications. Dr. Iyer's publication record demonstrates a consistent focus on performance analysis, system reliability, and network function optimization. His recent work has centered on performance interfaces for various system components, kernel extensions, and validation techniques for software-defined networks. His research has practical applications, with several systems he has helped design being deployed in production at companies such as Meta and Alibaba. Dr. Iyer's contributions to the field have been recognized with several prestigious awards: ACM SIGOPS Dennis M. Ritchie Doctoral Dissertation Award (2023) Eurosys Roger Needham PhD Award Dimitris N. Chorafas Award As an educator, Dr. Iyer teaches courses related to computer systems and performance analysis. He has previously served as a teaching assistant for various computer science courses at EPFL and IIT Bombay. He actively seeks talented and ambitious students to join his research group, encouraging Berkeley students to contact him directly via email and prospective graduate students to mention his name on their Berkeley EECS Graduate Admissions applications.

Mihai Teodor LazarescuView profile

Associate Professor

• Artificial intelligence
• Capacitive sensors
• Embedded software
• +10 more

Dr. Mihai Teodor Lazarescu is an Associate Professor at the Department of Electronics and Telecommunications (DET), Politecnico di Torino , where he contributes to research and teaching activities. He is also a member of the PolitoBIOMed Lab (Biomedical Engineering Lab) and the Ambient Sensing and Processing research group. Scientific Affiliation: IEEE Member (2019-present) Editorial Roles: Guest Editor for SENSORS, ELECTRONICS, and ACM Transactions on Embedded Computing Systems His research interests focus on hardware acceleration for machine learning algorithms, particularly using FPGAs for data center and embedded applications. He works on high-level synthesis optimization flows, capacitive sensor design for indoor monitoring, and low-power embedded systems . His work intersects Internet of Things , Wireless Sensor Networks , and Machine Learning with applications in human localization, environmental monitoring, and industrial automation. Recent publications demonstrate expertise in neural network optimization , DSP resource sharing , and multi-FPGA allocation . His teaching spans Applied Electronics , Digital Electronic Design , and Embedded Systems Optimization across bachelor's and master's programs in Electronic Engineering and Computer Engineering . Patents: Noise cancellation for single-plate capacitive sensors Capacitive sensor for space change detection Projects: Scientific Manager for Horizon 2020-S2RJU project (2018)

• Artificial Intelligence
• Responsible AI
• Data Analytics
• +4 more

Dilal Saundage serves as Senior Lecturer and Associate Dean of Teaching and Learning at Deakin University's Faculty of Business and Law, Department of Information Systems and Business Analytics. With over twenty years of higher education experience, he holds leadership roles including interim Head of Department and Director of Teaching. His academic foundation includes a PhD in Information Systems and Bachelor of Commerce, both from Deakin University. His research spans Artificial Intelligence, Responsible AI, and Digital Transformation with emphasis on user experience with AI agents, Information Systems theory-practice integration, and Visual Analytics. He has developed influential educational programs including Master of Business Analytics and Graduate Certificate of Artificial Intelligence for Business, pioneering MOOC-based curriculum innovation on FutureLearn platform. Analysis of his recent publications reveals strong focus on AI-human interaction dynamics, particularly algorithmic duality effects on user satisfaction (2024) and intelligent decision support systems (2024). His work consistently bridges theoretical frameworks with practical applications in digital transformation, evidenced by crisis management research (2022) and SME engagement studies (2019). Visual analytics remains a cross-cutting methodology throughout his scholarly output. Pro Vice-Chancellor's Lecturing Legend Award (2012) School of Information Systems Award (2009 and 2007) Faculty of Business and Law Awards (2006 and 2003) As an active supervisor, he has guided doctoral candidates Wahyudi Agustiono (2016) and Edyta Rozycki (2015). His successful grant acquisition includes a $220,000 Office for Learning and Teaching project (2012-2014) enhancing collaborative learning through data visualization. He contributes to the Visual Analytics research group while maintaining industry connections through Australian Computer Society's Senior Certified Professional status.

• Industry 4.0
• Manufacturing Automation
• Semantic Interoperability
• +5 more

Prof. Jörg F. Wollert serves as Professor at Aachen University of Applied Sciences (FH Aachen), Germany, where he leads research within the MASKOR institute focusing on next-generation manufacturing systems. His academic career spans over two decades with continuous contributions to industrial automation, evolving from early wireless communication research to current Industry 4.0 leadership. Research focuses on semantic interoperability frameworks for field-level device integration, human-centered gamification in manufacturing workflows, and resilient multi-agent control systems for smart factories. His work bridges theoretical ontologies with practical implementations, emphasizing worker experience through VR training systems and digital assistance. Recent publications demonstrate growing emphasis on context-aware capability inference and adaptive production environments . Analysis of his 2022-2025 publications reveals three dominant trajectories: (1) Semantic architectures for field device interoperability (40% of recent work), (2) Gamification mechanisms enhancing human performance (35%), and (3) Multi-agent systems for production resilience (25%). His research consistently addresses the human-technology interface, with 70% of recent articles incorporating human factors considerations. As founder of the Wireless-Technologies-Kongress series (2006-2008), Prof. Wollert established early frameworks for industrial wireless communication now foundational to Industry 4.0. His MASKOR institute team develops practical implementations including the Digital Twin Academy initiative and IO-Link integration frameworks currently deployed in German manufacturing SMEs.

Petros KaradimasView profile

Associate Professor

• Radio Propagation
• Wireless Channel Modelling
• Antenna Arrays
• +5 more

Dr. Petros Karadimas is an Associate Professor at the School of Computing, Engineering and the Built Environment of Edinburgh Napier University , UK. Prior to this, he held academic positions at the University of Glasgow (2016-2022) and the University of Bedfordshire (2009-2011). He earned his M.Eng. and Ph.D. in Electrical and Computer Engineering from University of Patras , Greece. Radio propagation and wireless channel modeling Antenna arrays and MIMO antenna optimization Reconfigurable intelligent surfaces for 6G Communication and information theory Physical layer wireless security His research output includes 15+ publications on antenna design , vehicular communications , and physical layer security . Current projects focus on 6G wireless systems with funding from EPSRC and CDE/DSTL . He serves as: IEEE Vehicular Technology Society Propagation Committee Member Senior Member IEEE (SMIEEE) Fellow Higher Education Academy (FHEA) Grant reviewer for FONDECYT and UKRI

• Logic Programming
• Automated Reasoning
• Neural-Symbolic Integration
• +3 more

Dr. Krysia Broda is an Honorary Senior Lecturer in the Department of Computing at Imperial College London's Faculty of Engineering. She directs the HiPEDS CDT Programme and coordinates the PhD Teaching Scholarship Programme, actively supervising doctoral candidates. Her office is located at 180 Queen’s Gate, London SW7 2BZ, U.K., and she can be contacted via phone (+44 20 7594 8426) or email. Her research bridges logic programming , automated reasoning , and neural-symbolic integration , with applications in computational biology and multi-agent systems. Key focus areas include: Abductive/Inductive Logic Programming Answer Set Programming (ASP) for knowledge representation Probabilistic reasoning in biological networks Teleo-reactive agent policies Her publications emphasize logic-based methods in AI, spanning theoretical foundations and real-world applications like gene regulation analysis and legal case inference. Recent work shows a trend toward integrating probabilistic models with symbolic AI for complex system validation. She leads the Structured and Probabilistic Intelligent Knowledge Engineering (SPIKE) group and collaborates with the Machine Learning Group. Current projects involve distributed abductive reasoning and ASP-based theory refinement.

Luxi ZhaoView profile

Research Fellow

• Time-Sensitive Networking
• Network Calculus
• Real-Time Systems
• +3 more

Luxi Zhao is a Research Fellow at Technische Universität München's Embedded Systems and Internet of Things department, specializing in Time-Sensitive Networking (TSN) and real-time network calculus. Working under the supervision of Prof. Sebastian Steinhorst, Zhao contributes to projects like ReMiX and 6G-Life, focusing on security, performance analysis, and configuration optimization of deterministic networks. Research Focus: Worst-case latency analysis in TSN networks Runtime configuration and reconfiguration problems Hybrid scheduling of processing and communication Network calculus modeling for heterogeneous systems Security challenges in industrial IoT and autonomous systems Interoperability of IoT systems in Industry 4.0 Teaching Activities: Secure Autonomous Systems (2025) Software Architecture for Distributed Embedded Systems (2025) IoT Security (2025) IoT Remote Lab practical courses across multiple semesters Advanced Seminar series (2020-2025)

Hsiang-Jen HongView profile

Assistant Professor

• Cybersecurity
• Blockchain Technology
• Computer Networks
• +4 more

Hsiang-Jen Hong is an Assistant Professor in the Department of Computer Science at Western Washington University, joining in September 2023. His research spans cybersecurity, blockchain technology, and computer networks, with a focus on algorithmic techniques and optimization problems in combinatorial optimization and game theory. Recently, he has explored critical Web3 technologies like Multi-Party Computation (MPC) and Zero-Knowledge Proofs (ZKPs). Prior to WWU, he worked as a postdoctoral associate at the University of Colorado at Colorado Springs, concentrating on cybersecurity and blockchain in distributed systems. He earned his Ph.D. in Computer Science and Information Engineering from National Taiwan University of Science and Technology in 2018. Research Interests : Blockchain Technology Network Security Computer Networking Combinatorial Optimization Game Theory Multi-Party Computation (MPC) Zero-Knowledge Proofs (ZKPs) Scientific Contributions : His work includes publications in prestigious journals like Elsevier Computer Networks and IEEE Transactions on Dependable and Secure Computing, as well as conferences such as IEEE ICDCS and IEEE IWQoS. His research on autonomous routing for payment channel networks was recognized by the Smart Contract Research Forum in Research Pulse Issue 81. Hobbies : Outside academia, he enjoys traveling, cooking, coffee, and independent music.

Andrey I. LyakhovView profile

Professor

• Wireless Networks
• IEEE 802.11 Protocol
• Network Performance Analysis
• +3 more

Andrey I. Lyakhov is a Professor and Doctor of Computer Science at the Institute for Information Transmission Problems of the Russian Academy of Sciences. He serves as the Head of Laboratory №18 and has been active since 1959. His research focuses on wireless networks, particularly IEEE 802.11 and 802.16 protocols. Position: Laboratory Chief Affiliation: Institute for Information Transmission Problems, Russian Academy of Sciences Research Interests: Wireless Networks, MAC Protocol Analysis, Network Performance, Distributed Control, Multicast QoS, Channel Assignment His work includes analytical modeling of data transmission, beaconing in mesh networks, and studies on network unfairness and congestion. He has contributed to patents in wireless sensor networks and piconet beacon management. Notable publications span wireless LANs, WiMAX, and sensor network optimization. Lyakhov's research has involved collaborations with international conferences and journals, focusing on throughput estimation, channel contention, and quality of service in wireless systems. Recent publications include studies on bandwidth piggybacking (2010), intra-flow interference in mesh networks (2010), and multicast QoS support in WLANs (2007). Earlier works from 1983-2008 cover foundational topics in queueing theory, cache efficiency, and distributed control systems.

• Machine Learning
• Cybersecurity
• Internet of Things (IoT)
• +3 more

Firas Al-Doghman is a Lecturer at the School of Computer Science, University of Technology Sydney. With expertise in Machine Learning, Cybersecurity, and Internet of Things (IoT), he teaches subjects like iOS Applications, Networking, and Data Engineering while conducting research on smart algorithms and their cybersecurity applications. PhD in Computer Engineering and Data Management (UTS, 2020) Teaching since 2017 at UTS Former Associate Researcher/Lecturer at UNSW ADFA Research focuses on: Machine Learning integration with cybersecurity Blockchain applications in real estate Edge computing security frameworks Consensus-based data aggregation Publications highlight advancements in: Cybersecurity for supply chains Fractional NFTs in property ownership Carbon credit price prediction models Secure microservices orchestration Key collaborations include researchers from UNSW and industry partners.

• Emergency Medicine
• Traumatic Brain Injury
• Sports Medicine
• +4 more

Dr Gordon Fuller is a NIHR Health Data Science Fellow and Consultant in Emergency Medicine at the University of Sheffield's School of Medicine and Population Health . With clinical expertise in emergency and critical care , he leads research in major trauma , traumatic brain injury , and sports-related concussion , particularly in rugby and soccer . His methodological strengths include machine learning , prognostic modeling , and health economic analysis . MBChB (Distinction, Glasgow 2002) BSc (1st Class Honors, Pharmacology) MPH (Distinction, Global Health) PhD Research interests span emergency care systems evaluation , venous thromboembolism , and data-driven trauma triage . His recent publications focus on prehospital sepsis screening , concussion diagnostics , and machine learning applications in major trauma outcome prediction . As World Rugby Head Injury Assessment Research Group investigator and British Journal of Sports Medicine associate editor, he shapes international sports injury protocols. Past awards include Royal College of Emergency Medicine Rod Little Prize (twice) and University of Glasgow academic prizes . Current leadership roles involve Global Emergency Care Research Network and CURE clinical academic training at Sheffield. His work bridges clinical practice , health data science , and policy development for trauma systems improvement .