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Saeed Reza MohandesView profile

Assistant Professor

• Construction Project Management
• Artificial Intelligence in Construction
• Sustainable Construction
• +7 more

Saeed Reza Mohandes is an Assistant Professor in the Engineering Management Department at the University of Manchester , specializing in Construction Project Management with a focus on AI-based techniques and Digital Twin technology. His academic journey includes a Doctor of Engineering from Hong Kong University of Science and Technology (HKUST) , M.Sc. in Construction Technology from Universiti Teknologi Malaysia (UTM) , and B.Eng. in Technical Design from Islamic Azad University (IAU) . Education: Ph.D. in Engineering, Hong Kong University of Science & Technology, 2020 M.Sc. in Construction Technology, Universiti Teknologi Malaysia, 2014 B.Eng. in Technical Design, Islamic Azad University, 2010 His research leverages deep learning, fuzzy logic, and IoT to advance Construction Safety , Green Construction , and Infrastructure Management , aligning with UN Sustainable Development Goals (SDGs). Recent publications examine Digital Twin for net-zero buildings, blockchain in sustainable procurement, and UAVs for safety management. Scientific Awards : Best Paper Award, International Conference on Circular Economy (2023) Editorial Roles : Associate Editor, Guest Editor, and Reviewer for leading journals in construction and AI

Dragan DjurdjanovicView profile

Professor

• Manufacturing Systems Engineering
• Advanced Quality Control
• Proactive Maintenance Techniques
• +3 more

Dragan Djurdjanovic is the Accenture Endowed Professor of Manufacturing Systems Engineering at The University of Texas at Austin's Department of Mechanical Engineering. He holds a Ph.D. from the University of Michigan and has expertise in advanced quality control, proactive maintenance, and data analytics in biomedical engineering. His research bridges manufacturing systems, semiconductor processes, and human performance monitoring. Djurdjanovic directed the NSF I-UCRC on Intelligent Maintenance Systems and co-authored over 69 journal papers. Awards include the SME's Outstanding Young Manufacturing Engineer Award and CIRP membership. Education: B.S. Mechanical Eng. & Applied Mathematics (1997), University of Niš, Serbia M.S. Mechanical Eng. (1999), Nanyang Technological University, Singapore M.S. Electrical Eng. (Systems), Ph.D. Mechanical Eng. (2002), University of Michigan Research Focus: Djurdjanovic’s work emphasizes system-level optimization in manufacturing, including virtual metrology for semiconductor processes and predictive maintenance. He applies probabilistic modeling to neuromusculoskeletal systems and integrates IoT in manufacturing metrology. Recent articles address energy-efficient control, fatigue monitoring, and big data analytics in industrial systems. Awards: Fellow of the International Society for Engineering Asset Management 2018 August-Wilhelm Scheer Visiting Professorship Labs/Teams: Associate Director of the NSF Engineering Research Center on Nanomanufacturing (NASCENT) and leader of the Cyber-Physical Manufacturing Metrology Model (CPM3) initiatives.

André NitzeView profile

Professor

• Internet of Things
• Digital Business Models
• Software Engineering
• +9 more

Prof. Dr.-Ing. André Nitze is a faculty member at the Brandenburg University of Technology in the Department of Economics . His research focuses on Internet of Things (IoT) , Digital Business Models , Software Architectures , Cloud Computing , Mobile Computing , and Predictive Analytics . He leads research projects on municipal LoRaWAN infrastructure, rural on-demand transport systems, and user-centered digitalization for sustainable development. Area of Expertise: IoT Applications, Software Engineering, Digital Transformation Current Research: Sustainable Municipal LoRaWAN, Rural Mobility Solutions Projects: risKI - KatKomm (2024-2026): Protocol development for disaster communication InNoWest (2023-2027): Subproject leader for digital sustainability OSLO (2023): Rural on-demand transport software architecture Awards: Best Paper Award at ICDS 2024 for work on LoRaWAN infrastructure Education & Supervision: M.Sc. and B.Sc. in Business Informatics Supervised over 15 theses including topics on GIS analysis, sensor networks, and AI applications

Martin SjölundView profile

Associate Professor

• Software Engineering
• Cyber-Physical Systems
• Modelica Compiler Development
• +3 more

Martin Sjölund is an Associate Professor at Linköping University's Department of Computer and Information Science (IDA), part of the Software and Systems (SAS) division. His work focuses on software engineering and cyber-physical systems, with a specialization in Modelica compiler development and open-source simulation tools. He contributes to the OpenModelica project, advancing compiler frameworks, integration with Julia, and standardization efforts. Research interests include compiler design, formal methods, and domain-specific languages. Recent work emphasizes modular compiler architectures, structural variability handling, and interoperability between Modelica and other systems like Julia and Python. He has co-authored over 30 peer-reviewed publications since 2017, with a focus on compiler optimization, co-simulation, and educational applications of Modelica. As part of the SAS division, he collaborates with researchers like Lena Buffoni, Adrian Pop, and Peter Fritzson on projects funded by the MODPROD Center and other initiatives. His contributions to open-source tools have been recognized through conference proceedings and industry partnerships.

• Antenna Design
• Wireless Communication Systems
• mm-Wave Technology
• +4 more

Rob Maaskant is a Professor at Chalmers University of Technology in the Department of Communication, Antennas and Optical Networks . His research focuses on advanced antenna systems, particularly in mm-Wave and massive MIMO technologies, with significant contributions to full-duplex communication, reconfigurable intelligent surfaces (RIS), and hybrid over-the-air (OTA) testing environments. Key Research Themes : Antenna array optimization, self-interference mitigation, contactless IC integration, and beamforming for satellite and terrestrial communication systems. Recent Publications (2025-2023) highlight innovations in neural network-driven antenna synthesis, back-scattering RIS characterization, and wideband quadraxial feed designs, emphasizing practical implementations in mm-Wave and 5G/6G systems. Collaborative Projects include hybrid test chamber development with colleagues like Oleg Iupikov and Pavlo Krasov, and co-design of power amplifier-integrated arrays with Marianna Ivashina.

Zhongyuan ZhaoView profile

Academic

• Wireless Communications and Networking
• Machine Learning
• Signal Processing
• +7 more

Zhongyuan Zhao is a Research Assistant Professor at Rice University's Department of Electrical and Computer Engineering, affiliated with the George R. Brown School of Engineering. He holds a Ph.D. in Computer Engineering from the University of Nebraska-Lincoln and completed his postdoctoral studies at Rice under Prof. Santiago Segarra. His research integrates graph-based neuro-symbolic approaches with domain-specific models to address challenges in wireless communications, edge computing, and networked systems. Dr. Zhao has over a decade of industry experience in 4G base-station development at Ericsson and ArrayComm, followed by academic research roles focusing on distributed algorithms and machine learning applications. His education includes a B.Sc. and M.S. in Electronic Engineering from the University of Electronic Science and Technology of China, where he also worked as a teaching assistant for national design contests. He earned a minor in Finance (15 credits) during his Ph.D. and is completing the CFA Level III program in 2024. Zhao has contributed to large-scale wireless testbeds like NEXTT and authored/co-authored 25+ peer-reviewed publications, 2 patents, and delivered academic service roles including conference session chair and journal reviewer. Research interests span autonomous networking, graph-based machine learning, stochastic optimization, and their applications in infrastructureless wireless systems. His work emphasizes distributed solutions for resource allocation, scheduling, and edge intelligence. Awards include the Future Faculty Fellowship (2023) and IEEE travel grants. He has mentored over 40 students through research internships, hackathons, and undergraduate projects, showcasing his commitment to education. Recent projects focus on scalable computation offloading, generalized backpressure routing in tactical networks, and neuro-symbolic AI frameworks for networked systems. His lab work involves open-source contributions to tools like the Actor-Twin Framework and SelR algorithm, promoting reproducibility and collaboration in the field.

• Concurrency
• Real-Time Systems
• Distributed Systems
• +3 more

Lukasz Ziarek is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, and serves as the Associate Dean for Academic Affairs in the School of Engineering and Applied Sciences. His research focuses on concurrency, real-time systems, distributed systems, and formal verification. He holds a PhD from Purdue University (2011) and a BS from the University of Chicago (2003). His research explores topics such as real-time Java implementations, session types for distributed protocols, and visual debugging techniques. Recent work includes formal models for secure multiparty computation, IoT device validation, and optimizing visual SLAM systems for robotics applications. He has contributed to frameworks like Juav (a Java-based UAV autopilot) and RTDroid (a real-time Android extension). Ziarek has received notable awards including the 2023 IEEE Technological Innovation Award, 2022 Meyerson Teaching Award, and 2018 NSF CAREER Award. His grants include collaborative research on UAV software infrastructure and real-time communication protocols. He actively develops tools like PTDETECTOR for JavaScript library analysis and Anodize for mixed-criticality systems. His work integrates formal methods with practical systems, addressing challenges in embedded systems security, compiler optimization, and real-time programming language design. He maintains a lab focused on advancing reliable software for autonomous systems and distributed computing environments.

• Cloud Computing
• Cybersecurity
• Software Engineering
• +6 more

Per Lauvås is an Associate Professor at the Department of Computer Science, Faculty of Technology, Art and Design, Oslo Metropolitan University. His research and teaching focus on IT education, software engineering, and e-learning technologies. Key research areas include Software testing pedagogy Gamification in data modeling education Interactive web development tools Cloud computing and cybersecurity Assessment innovations in database courses Work-integrated learning for IT students Recent publications explore AI chatbots in education, employer prioritization of IT graduates, and gamified learning tools. His work emphasizes student-centered approaches and practical skill development. Contact: pelau8806@oslomet.no

Zhenyu ChenView profile

Professor

• AI for Testing
• Testing for AI
• Software Testing
• +3 more

Zhenyu Chen is a Full Professor and Director of the iSE Laboratory at Nanjing University, specializing in AI-driven software testing methodologies. His research bridges artificial intelligence and software engineering with dual focus areas: leveraging AI to enhance testing processes ( AI for Testing ) and validating AI/ML systems ( Testing for AI ). His research interests center on deep learning framework testing , crowdsourced testing optimization , and Large Language Model applications in verification . Recent work demonstrates innovative approaches to metamorphic testing of neural networks, LLM-based test report analysis, and security hardening of code models against backdoors. Key contributions include the development of mooctest.com and frameworks like DevMuT for mutation testing of deep learning APIs. His publication trajectory reveals evolving focus from crowdsourced testing (2018-2020) to deep learning system validation (2021-2023) and current emphasis on LLM-powered testing solutions. Major venues include ASE, ICSE, and ISSTA where he serves regularly on program committees.

• Computer Science
• Software Engineering
• Web Technologies
• +5 more

Dr. Mihajlo Savić serves as an Associate Professor in the Department of Computer Science and Informatics at the Faculty of Electrical Engineering, University of Banja Luka, Bosnia and Herzegovina. Appointed to this position on October 29, 2020, he maintains active roles in teaching undergraduate and graduate courses while leading cutting-edge research across multiple interdisciplinary domains. His institutional affiliations include key participation in national and European research consortia focused on digital infrastructure and open science initiatives. Dr. Savić's research program demonstrates exceptional breadth through Computer Science and Software Engineering applications in diverse fields. His work in Educational Technology includes virtual microscopy systems for histology teaching and cognitive load optimization in multimedia learning. In Digital Health , he develops photogrammetry tools for orthodontic diagnostics, while his Agricultural Technology contributions feature web-based optimization systems like OPTIMILK for dairy rationing. His Network Monitoring expertise spans aircraft communication systems and distributed computing infrastructures, with strong emphasis on practical implementations through Web Technologies and Distributed Systems solutions. Analysis of his recent publications (2019-2025) reveals a distinctive interdisciplinary trajectory where computer science methodologies solve domain-specific problems across medicine, agriculture, and cultural heritage. His work consistently prioritizes efficiency optimization - whether reducing cognitive load in educational software, minimizing feed costs in dairy farming, or improving aircraft network scheduling. The recurring theme of practical tool development is evident in systems like CodeCrafter for web applications and Scalelite management platforms, demonstrating his commitment to translating theoretical research into deployable solutions. Dr. Savić actively secures competitive research funding through multiple Horizon Europe and Horizon 2020 projects, including the current Duboke tehnologije u naukama o materijalima initiative (2023-2024) and the UNICEF-supported Jacanje pedagosih i digitalnih kompetencija nastavnika project (2022-2024). His leadership extends to national projects like Nacionalne incijative za Evropski oblak otvorene nauke (2019-2024) and the EU-funded NI4OS-Europe initiative, where he coordinates technical implementations for open science infrastructure across the Balkan region. Within the University of Banja Luka's research ecosystem, Dr. Savić contributes to the Department of Computer Science and Informatics' computational infrastructure development. His project involvements connect him with international networks including the VI-SEEM consortium for Southeast European research communities and the European Open Science Cloud initiative. Current collaborations span medical institutions for digital pathology applications, agricultural research centers for optimization tools, and cultural heritage organizations for digital preservation systems, positioning him at the intersection of academic research and real-world problem solving.

Syeda Fizzah JilaniView profile

Lecturer

• Electromagnetics
• Radio Wave Propagation
• RF Spectrum Monitoring
• +7 more

Dr. Syeda Fizzah Jilani is a Lecturer in the Department of Physics at Aberystwyth University, UK, and a course coordinator for the MSc Radio Spectrum Engineering program. She holds a PhD in Antennas and Electromagnetics from Queen Mary University of London (2018) and previously worked on US DOE-funded research at the University of Maine. Her research focuses on advanced antenna systems, 5G/6G wireless technologies, millimeter-wave applications, and AI-driven environmental and medical imaging solutions. She has authored/co-authored over 50 papers, a book titled Antennas and Propagation for 5G and Beyond , and secured grants from L3Harris and QinetiQ. Key achievements include the 2024 Aberystwyth University Visibility Award and inclusion in the global '100 Brilliant and Inspiring Women in 6G' list. She leads projects on spectrum monitoring, reconfigurable antennas, and smart city applications, while actively supervising PhD students and contributing to IEEE and IET committees. Education: PhD in Electronic Engineering, Queen Mary University of London (2015–2018) Research Interests: Electromagnetics and Antenna Design Millimeter-Wave and Terahertz Systems Flexible Wearable Antennas Deep Learning in Remote Sensing and Medical Imaging 6G/5G Wireless Communication Networks Sustainable Transportation Solutions Recent Research Trends: Her work spans cutting-edge antenna technologies for 6G, AI-driven environmental monitoring (e.g., landslide detection, air quality analysis), and medical imaging advancements (e.g., breast lesion classification). Recent publications highlight innovations in reconfigurable phased arrays, liquid metal phase shifters, and explainable neural networks for healthcare. Awards and Grants: Principal Investigator: 3-year Serapis Project with QinetiQ/DSTL (£X) PI: L3Harris Technologies Grant (£Y) Featured in '100 Brilliant and Inspiring Women in 6G' (2024) Aberystwyth University Visibility Award (2024) Advising & Grants: Supervises PhD scholars and leads industry-academia collaborations. Projects include spectrum monitoring systems with the UK Spectrum Centre and smart city MIMO antenna arrays. Active in professional service as an IEEE AP-S Young Professional Ambassador and IET Antennas Technical Committee member. Labs/Teams: Works within the Department of Physics' Antennas and Propagation group, focusing on 6G infrastructure and wearable electronics research.

• Software Engineering
• Web Application Development
• End-User Development
• +5 more

Christopher Vinod D'Souza is a past researcher focusing on software engineering, web application development, and educational strategies in computing. His work emphasizes end-user development, UI/UX design, and rich internet applications. He has contributed to accessibility control systems, data-intensive web applications, and pedagogical methods for introductory programming courses. His research spans technical domains like automated code generation from mockups, secure access control frameworks, and MVC architecture optimizations. Notably, he has explored modeling languages for UI evolution and strategies to enhance student engagement in multicultural educational settings. Publications include studies on web application scaffolding, visual modeling tools, and architecture patterns for separation of concerns. Despite no listed awards or current institutional affiliation, his work bridges practical software engineering challenges with educational innovation. Christopher has collaborated with institutions on projects involving end-user development tools and strategic approaches to multicultural student needs in higher education.

• Software Engineering
• Data Privacy
• Chatbot Design
• +6 more

Edna Dias Canedo is a researcher with a focus on software engineering, data privacy, and gender dynamics in ICT. Her work explores chatbot conversational design, micro-frontend architecture, and compliance with data protection laws like Brazil's LGPD. She collaborates extensively on studies related to agile methodologies and digital transformation in public sectors.

Ravi SethiView profile

Professor

• Software technologies
• communications systems
• compilers
• +2 more

Ravi Sethi serves as a Laureate Professor in the Department of Computer Science within the College of Engineering at the University of Arizona. His office is located in GS 842, and he can be contacted via email at rsethi@cs.arizona.edu or by phone at 520-621-0689. His primary research interests include: Software technologies Communications systems Compilers Programming languages Algorithms Professor Sethi is renowned for his foundational contributions to compiler design, particularly as co-author of the seminal textbook "Compilers: Principles, Techniques and Tools". His publication record spans over four decades with works translated into multiple languages, reflecting global influence in computer science education. Analysis of his recent articles reveals persistent focus on compiler construction, programming language semantics, and software engineering methodologies. Key trends include modern compiler optimizations, formal language theory, and enterprise communication systems, demonstrating sustained relevance in evolving technical landscapes. No scientific awards, student advising details, grant information, or laboratory affiliations were mentioned in the provided text.

Jonathan AldrichView profile

Professor

• Programming Languages
• Software Engineering
• Verification
• +7 more

Jonathan Aldrich is a Professor of Computer Science at Carnegie Mellon University in the School of Computer Science , jointly appointed in the Software and Societal Systems Department and the Computer Science Department . He is an internationally recognized expert in programming languages, software engineering, and verification, with a strong emphasis on human factors and usability in language design. Education: Ph.D. in Computer Science and Engineering, University of Washington (2003) B.S. in Computer Science, Caltech Research Interests: Prof. Aldrich's research lies at the intersection of programming languages and software engineering , focusing on how language design affects software quality and developer productivity. His work spans: Gradual verification and type systems Ownership and typestate checking Security and information flow control Usability of advanced type systems Domain-specific languages for blockchain and IoT Recent Work Trends: His recent publications emphasize gradual verification techniques, which allow developers to incrementally verify software correctness. He has also explored liquid types , information flow control , and usability barriers in advanced type systems. His work often combines formal methods with empirical studies to ensure practical impact. Awards & Recognition: NSF CAREER Award (2006) Dahl-Nygaard Junior Prize (2007) ICSE Most Influential Paper Award (2012) DARPA Computer Science Study Group Leadership & Service: Prof. Aldrich has held numerous leadership roles in the academic community, including: Director, CMU Software Engineering Ph.D. Program (2013–2019) General Chair, SPLASH 2015 Program Chair, OOPSLA 2017 Steering Committee Chair, SPLASH (2017–2019) Member, ACM Publications Board Industry Engagement: He is the Chief Technology Officer of Noteful , a startup he co-founded during his 2022 sabbatical, focused on music education through interactive apps.