Andrew Murray is a Professor at Harvard University, affiliated with the Rowland Institute and Department of Molecular and Cellular Biology. His research focuses on evolutionary biology, genetics, and synthetic biology using budding yeast as a model organism. Primary Affiliation: Harvard University Lab: Murray Lab Collaboration: with David Nelson (Physics/MBI) Research interests include: Evolution of biological novelty through experimental evolution Cellular mechanisms for environmental adaptation Quantitative analysis of evolutionary trajectories Engineering yeast strains to test biological principles Publications span evolutionary genetics, cell biology, and biophysics with recent work on ABC transporters and yeast colony dynamics. Collaborative clinical publications also exist in cardiology and surgical outcomes. Scientific recognition includes the John Harvard Distinguished Science Fellowship .
Dr. Ehsan Pashajavid is a Senior Lecturer at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences, within the Faculty of Science and Engineering. His research focuses on stochastic optimization, renewable energy integration, microgrid control, and electric vehicle systems. Research interests include: Microgrid and smart grid control algorithms Renewable energy resource management Power system stability and operation Energy storage optimization Electric vehicle-grid integration His publications demonstrate significant contributions to power system resilience, with recent work emphasizing battery storage economics, fault-tolerant converters, and model predictive control for grid stability. Article trends show strong focus on renewable integration challenges and optimization techniques for modern energy systems. Awards include Senior Member status in IEEE and its Power & Energy, Industrial Applications, and Power Electronics societies. Teaching responsibilities encompass graduate courses in Renewable Power Generation Systems, Smart Grid Control, and Renewable Energy Principles.
Dr. Hyungwoong Ahn is a Senior Lecturer in Chemical Engineering at the University of Edinburgh and an Adjunct Professor at Yonsei University. His expertise lies in adsorption process engineering, particularly for CO2 capture and gas separation. He leads the Carbon Capture Group and coordinates exchange programs for chemical engineering students. Dr. Ahn holds a BSc, MSc, and PhD in Chemical Engineering from Yonsei University. Roles: Senior Lecturer (Edinburgh) & Adjunct Professor (Yonsei) Research Focus: Pressure Swing Adsorption (PSA), CO2 capture technologies, hydrogen purification, and industrial decarbonisation Key Projects: PSA-SPUR technology development, ship-based carbon capture, and collaboration with HD Korea Shipbuilding Awards: KOFST Brain Pool Fellow, IChemE Global Awards finalist, and Honeywell UniSim Design Challenge winner His research integrates equilibrium theory analysis, numerical simulation, and experimental validation to advance carbon capture systems. He has authored over 50 publications (H-index 32) and secured funding from EPSRC, BEIS, KETEP, and others.
Yuxia Hu is a Professor at the University of Western Australia, affiliated with the School of Engineering (Civil, Environmental and Mining Engineering) and the School of Social Sciences, Planning and Transport Research Centre. Her research focuses on geotechnical engineering, particularly in large deformation FE analysis, offshore foundation systems, and soil-structure interaction. She has contributed to advancements in suction caissons, plate anchors, and computational mechanics, with applications in offshore wind energy and infrastructure stability. Research Interests: Large deformation FE analysis of soils, soil-structure interaction, offshore foundation systems, soil mechanics, and pavement engineering. Awards: Telford Premium, British Geotechnical Association Prize, and Significant Junior/Senior Paper Award. Grants: Leads projects on offshore anchors, carbon capture in pavements, and road maintenance optimization. Her work addresses challenges in geotechnical design and sustainable infrastructure, with a focus on numerical modeling and experimental validation. Collaborations span academia and industry, emphasizing practical solutions for complex soil-structure systems.
Pawel Ladosz is a Lecturer in Engineering Systems for Robotics at the Department of Mechanical and Aerospace Engineering, The University of Manchester. His research focuses on applying machine learning and computer vision to mobile robots, particularly in extreme environments such as total darkness or cluttered spaces. He is actively involved in developing autonomous navigation systems, wireless signal mapping, and high-level decision-making for robotic swarms. He teaches courses including Robotic Systems Design Project and Autonomous Mobile Robots. Education: PhD in Establishing and Optimising Unmanned Airborne Relay Networks (Loughborough University, 2014–2019) MEng in Aerospace Engineering (The University of Manchester, 2010–2014) Research Interests: Ladosz’s work emphasizes reinforcement learning for robotics, vision-based autonomous systems, and exploration in challenging environments. His projects often intersect with UN Sustainable Development Goals, contributing to innovations in robotic autonomy and sensor networks. Awards: He received the 2nd Autonomous Flying Technology Competition award in 2021, recognizing his contributions to autonomous flight systems. His research has also led to the establishment of the Centre for Robotic Autonomy in Demanding and Long-Lasting Environments (CRADLE), fostering cross-disciplinary collaborations. Grants & Projects: As Principal Investigator in the Aerospace Engineering initiative (2010–2035), he explores UAV communication networks and trajectory planning. His work addresses urban environment challenges, including relay positioning and signal prediction. Labs/Teams: Ladosz contributes to CRADLE, advancing robotic autonomy in extreme scenarios. His lab focuses on integrating AI and robotics for real-world applications.
Professor Klaus McDonald-Maier is a full Professor in the School of Computer Science and Electronic Engineering (CSEE) at the University of Essex , where he leads the Embedded and Intelligent Systems (EIS) Research Laboratory and heads the Intelligent Embedded Systems and Environments Research Group . He is also Director of Impact , Visiting Professor at the University of Kent, and Visiting Research Affiliate at NASA Jet Propulsion Laboratory, California Institute of Technology. Education PhD in High-Performance Parallel Neural Network Architectures, Friedrich-Schiller-University Jena (Germany, 1999) Electronic Engineering studies, University of Ulm (Germany) Electronic Engineering studies, Cardiff University (Wales) Electronic Engineering studies, École Supérieur de Chimie Physique Électronique de Lyon (CPE-Lyon) (France) Research Interests Professor McDonald-Maier’s research integrates embedded systems , System-on-Chip (SoC) architectures , and AI-driven robotics . He pioneers visual place recognition techniques that remain robust under severe appearance and viewpoint changes, develops cybersecurity frameworks based on ICMetrics for autonomous vehicles and IoT, and designs approximate real-time computing solutions for energy-constrained multicore and FPGA platforms. His work on radiation-tolerant systems supports space and nuclear applications, while his bio-inspired algorithms enable lightweight, neuromorphic perception on resource-limited robots. Publication Trends Between 2022 and 2025 his output converges on FPGA-accelerated AI , secure edge intelligence , visual navigation for autonomous systems , and healthcare analytics . He repeatedly couples rigorous algorithmic innovation with practical hardware deployment, yielding energy-efficient, real-time systems validated in domains ranging from autonomous driving to post-stroke rehabilitation. Scientific Awards & Recognition Best Paper Award – IEEE Transactions on Sustainable Computing (2024) Best Paper Award – IEEE/ACM DATE (2024) Best Paper Award – IEEE Systems Journal (2022) Best Paper Award – IEEE Sensors Journal (2021) Best Paper Award – IEEE Access (2020) Research Grants & Industrial Collaboration He has secured major funding from EPSRC , EU Horizon 2020 , Innovate UK , and industry partners. Current projects span trustworthy autonomy, radiation-hardened edge AI, and AI-enhanced rehabilitation technologies. He is Chief Scientist of UltraSoC Technologies Ltd and CEO of Metrarc Ltd , commercialising University research in semiconductor debug and cybersecurity respectively. Laboratory & Team Leadership As Director of the Embedded and Intelligent Systems Laboratory (EIS Lab) , he oversees a multidisciplinary team of researchers and PhD students, providing state-of-the-art FPGA, robotics, and embedded-systems facilities. The lab collaborates closely with NASA JPL, UK Atomic Energy Authority, and leading semiconductor firms to translate fundamental research into high-impact industrial solutions.
Professor Tony Jan leads the Centre for Artificial Intelligence Research and Optimisation (AIRO) at Torrens University Australia's Design and Creative Technology school. He holds a PhD in Computing Science from the University of Technology Sydney (2004) and a Bachelor of Engineering from the University of Western Australia (1999). His research focuses on federated machine learning for IoT security, ensembled machine learning for real-time applications, cognitive machines for human-centric computing, and smart sensor networks for healthcare and security. He has secured ARC grants and industry partnerships with NVIDIA, IBM, and Microsoft. Awards include the 2024 SEI Global Academic Excellence Award and the 2023 Torrens University Excellence Award. Research collaborations span global partners, with contributions to UN Sustainable Development Goals in education and industry. His work bridges academia and industry, expanding AI program enrollments by 2,000+ students and enhancing student satisfaction by 15%. He advises PhD students on topics like IIoT cybersecurity and smart cities, and has produced over 97 publications since 1999. Education: PhD (UTS, 2004), BEng (UWA, 1999) Research Themes: AI for Industry 5.0, Cybersecurity, Smart Cities, Healthcare Technology Key Partnerships: NVIDIA, CIMIC, Palo Alto Networks Recent Projects: Federated learning for health IoT, drone vision intelligence, ransomware detection His work emphasizes ethical AI adoption in design and healthcare, with publications exploring AI ethics, generative AI applications, and sustainable technology integration.
Dr. Behrang Vand Alimohammadisagvand is a Lecturer at the School of Computing, Engineering and the Built Environment, Edinburgh Napier University. His research focuses on sustainable energy systems, building performance, and smart energy management, with strong international collaboration across Iran, China, Finland, and the UK. B.Sc. and M.Sc. in Mechanical and Energy Engineering Ph.D. in Energy and Building Technology His research interests include sustainable development, low-carbon technologies, energy policy, thermal comfort in buildings, and energy management systems at multiple scales. He actively investigates model predictive control (MPC), demand response, energy sharing in communities, and low-temperature heating networks. His work bridges theoretical modeling and practical implementation in real-world buildings. Dr. Vand's recent publications highlight trends in integrated energy management , smart grid optimization , and decarbonization of building heating systems . His articles emphasize mathematical modeling, simulation, and control strategies to improve energy efficiency and reduce carbon emissions in the built environment. He supervises doctoral students working on smart IoT systems and low-temperature heat networks. His research is supported by funders such as the Academy of Finland and Energy Technology Partnership. Active supervisor for PhD project on smart IoT systems with real-time deep learning (since 2022) Director of Studies for PhD on heating Scottish public buildings with low-temperature networks (2018–2024) He is affiliated with the Institute for Sustainable Construction and contributes to the research theme Culture and Communities . His work aligns with global efforts toward net-zero emissions and sustainable urban development.
Steven Halim is an Associate Professor (Educator Track) in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He has been a full-time educator since 2007, teaching a wide range of courses including Data Structures and Algorithms, Competitive Programming, and Design and Analysis of Algorithms. He currently serves as the Director of the Centre for Nurturing Computing Excellence (CeNCE) and is a Fellow of the NUS Teaching Academy. Ph.D. in Computer Science, National University of Singapore B.Sc. in Computer Science, National University of Singapore His research and teaching interests focus on algorithms, competitive programming, visualization, and optimization. He is renowned for creating VisuAlgo , an interactive online platform that visualizes data structures and algorithms, used by students and educators worldwide. He is also the co-author of the widely acclaimed book "Competitive Programming" , now in its fourth edition, which is a key resource for programming contest preparation. His recent scholarly work centers on pedagogical innovations in computer science education, particularly algorithm visualization and competitive programming methodologies. Earlier publications from his PhD work focused on stochastic local search, metaheuristics, and algorithm tuning through visualization. The articles span topics from educational technology to combinatorial optimization, reflecting a transition from research in algorithm engineering to leadership in computing education. Commendation Medal (Pingat Kepujian), National Day Awards 2018 NUS Annual Teaching Excellence Award (ATEA) 2014/15, 2017/18, 2018/19 (with Honour Roll) Faculty Teaching Excellence Award (FTEA) 2011/12, 2012/13, 2014/15 (with Honour Roll) Best Teaching Assistant Award 2007/08 Steven Halim has advised numerous students through his courses and competitive programming teams. He has served as the head coach for NUS ICPC teams since 2008 and team leader for Singapore IOI teams since 2009, leading them to multiple international medals. He has also held leadership roles in major international competitions, including Deputy Director for IOI 2020 and 2021, and Regional Contest Director for ICPC Asia Singapore 2015 and 2018. He was a Resident Fellow at NUS Sheares Hall for nine years, deeply engaging with student life. He leads the Centre for Nurturing Computing Excellence (CeNCE), where he manages programming competition activities for both NUS and Singapore national teams. His work integrates education, competition, and mentorship, creating a synergistic environment that has significantly elevated Singapore's performance in international informatics olympiads.
Professor Evangelos Boulougouris is Head of the Department of Naval Architecture, Ocean and Marine Engineering at the University of Strathclyde, where he also serves as Chair of the Maritime Safety Research Centre. He is a chartered professional engineer with over 28 years of internationally recognized research in maritime safety, design for safety, and holistic ship design. His work spans damage stability, autonomous vessels, alternative fuels, and ship survivability, with strong impact on international regulations through roles in IMO, ITTC, SNAME, and RINA. Research Interests: His primary research focuses on safety of marine operations, including damage and intact stability in waves, collision avoidance, ship evacuation, crashworthiness, and the integration of alternative fuels like ammonia and hydrogen. He leads cutting-edge work in multi-objective ship design optimization, risk modeling, and decarbonization strategies for advanced marine vehicles. The recent 15 publications highlight a strong trend toward digitalization and sustainability in shipping, combining machine learning for propeller optimization, CFD simulations for catamaran performance, real-time decision support in emergencies, and hybrid propulsion systems for zero-emission vessels. His work increasingly emphasizes climate resilience, port risk under extreme weather, and energy management in CTVs, aligning with global SDGs. Scientific Awards: 2020 Denny Medal SNAME ABS Captain Joseph H. Linnard Prize (2023) Safety 2020 Best Paper Award (2022) Honorable Mention for Vice Admiral E. L. Cochrane Award (2022) EU CHAMPIONS of Transport Research (HOLISHIP, TRA 2014) Greek Technical Innovation Award, Lloyd’s List (2009) 1st Prize, International SAFER SHIP Competition (1999) Advising and Grants: He actively supervises PhD students and has led numerous EU and UK-funded projects such as SEASTARS, SAFARI, EcoShipYard, and Digital Shipwright. As Principal Investigator and Co-I, he secures substantial research funding, coordinates knowledge exchange (KE) initiatives, and leads training programs across Europe. Labs and Teams: He leads the Maritime Safety Research Centre at Strathclyde, fostering interdisciplinary collaboration on ship safety, stability, and sustainable design. His team works closely with industry partners RCG and DNV, and engages in international networks through STAB, ITTC, and IMO committees.
Dr Leok Lee is a Lecturer in the School of Electrical and Mechanical Engineering at the University of Adelaide . He is also an active member of the Centre for Energy Technology , contributing to cutting-edge research in renewable energy systems. Research Interests: Renewable energy systems, with a focus on solar thermal energy and energy storage. System integration and optimisation of complex transient energy systems. Computational fluid dynamics (CFD) and experimental design for energy applications. Decarbonisation of heavy industry through clean energy technologies. His research spans from fundamental studies in heat transfer and fluid mechanics to applied engineering solutions for decarbonising industrial processes. He has led and contributed to projects funded by ARENA and HILT CRC, targeting the integration of concentrated solar thermal energy into industrial applications such as the Bayer Alumina process. Supervision & Mentorship: Dr Lee is eligible to supervise Masters and PhD students and actively mentors undergraduate, Masters, and PhD candidates. He encourages prospective students to contact him via email to discuss research opportunities. Contact: Email: leok.lee@adelaide.edu.au Location: Room 3, Engineering South, North Terrace Campus
Professor Siobhan Banks is a Research Professor and Director of the Behaviour-Brain-Body Research Centre at the University of South Australia (UniSA), affiliated with UniSA Justice & Society. She holds a Ph.D. from Flinders University (2004) and conducted postdoctoral research at the University of Pennsylvania. Her work focuses on the interplay between sleep, fatigue, and human performance, particularly in shift workers and high-stakes operational environments. Research interests include circadian rhythms, fatigue countermeasures, and the design of habitable spaces to enhance cognitive performance. Key areas of research include the impact of sleep deprivation on team performance, the metabolic consequences of shift work, and the application of human-centered design in maritime and aerospace environments. She collaborates with organizations like the Australian Defence Science and Technology Group and the Alliance for Research in Exercise, Nutrition and Activity (ARENA). Publications emphasize fatigue risk management, circadian-aligned interventions, and the physiological effects of altered eating schedules during shift work. Her work bridges basic science and applied solutions, aiming to improve workplace safety and productivity through evidence-based strategies.
Professor Yufeng Zhang is a Chair in Operations Management and Head of the Department of Management at Birmingham Business School, University of Birmingham. He is also a Senior Fellow of the Higher Education Academy and a Fellow of the Alan Turing Institute. His academic journey began at Shanghai Jiao Tong University, continued at the Technical University of Berlin, and culminated with a PhD from the University of Cambridge, where he also worked as a Research Associate before joining Birmingham in 2009. PhD, Engineering – University of Cambridge MSc/Dipl-Ing, Global Production Engineering – Technical University of Berlin BEng, Mechanical Engineering & Automation – Shanghai Jiao Tong University BEng, International Finance – Shanghai Jiao Tong University PG Cert in Learning & Teaching in Higher Education Yufeng Zhang’s research focuses on sustainability, digitalisation, engineering innovation, and global network operations. His work integrates engineering and management perspectives, employing qualitative, quantitative, and simulation methods. He has led numerous projects funded by UK, EU, and international bodies, and has published over 80 refereed papers in top-tier journals such as Journal of Operations Management , International Journal of Production Economics , and Journal of Cleaner Production . His recent publications highlight trends in green operations, sustainable supply chains, digital transformation, and network capabilities. The research spans subfields including environmental performance, IoT integration, supply chain flexibility, and servitisation, reflecting a strong interdisciplinary focus on modern operational challenges. His scientific awards include the University’s Excellence in Teaching and Learning Award (2013), Literati Nominations for Highly Recommended Papers (2008, 2013), and recognition as a Senior Fellow of the Higher Education Academy and Turing Fellow. Yufeng has supervised over 20 PhD students and has held key roles such as Deputy Lead for REF2021, Director of Business Programmes with Engineering, Sciences, Law and Languages (2010–2017), and Coordinator of Europe China High Value Engineering Networks (EC-HVEN). He is an External Examiner for multiple universities and a Visiting Professor at Zhejiang University, demonstrating extensive academic leadership and collaboration. He leads and contributes to research labs and networks focused on engineering innovation and sustainable operations, including collaborations with industry and international institutions. His future work continues to explore the intersection of digital technologies, sustainability, and global operations, aiming to shape resilient and responsible business practices.
Naoko Ellis is a Professor in the Department of Chemical and Biological Engineering at the University of British Columbia, Faculty of Applied Science. Her work bridges advanced multiphase reaction engineering with pressing sustainability challenges, focusing on fluidized-bed technologies for CO₂ capture, biomass valorisation, and clean energy production. Research Interests Multiphase reaction engineering & fluidized beds CO₂ capture via calcium looping and chemical looping combustion Biomass gasification, pyrolysis, and tar mitigation Bio-oil upgrading and biochar engineering for environmental applications Engineering education innovation for sustainability literacy Recent publications (2020-2024) reveal an integrated approach combining rigorous reactor modeling, novel catalyst development, and educational scholarship. Energy and environmental engineering dominate the portfolio, with emerging use of machine-learning tools for process optimisation and extensive exploration of biochar and bauxite-residue valorisation. Scientific Recognition Guest editor for memorial special issues honouring Prof. John R. Grace (Canadian Journal of Chemical Engineering, Powder Technology, 2023-2024) Invited prefatory contributions on chemical engineering education (Canadian Journal of Chemical Engineering, 2024) Advising & Grant Landscape No specific student names or funding details were provided in the supplied text; however, the breadth of collaborative publications and education-focused papers indicates active supervision of graduate researchers and leadership in curriculum-development grants. Labs & Teams Operates within the multiphase reaction engineering laboratory environment at UBC Chemical and Biological Engineering, leveraging pilot-scale fluidized-bed facilities and advanced analytical instrumentation for thermochemical conversion studies.
Morteza Haghighat Sefat is an Associate Professor at the School of Energy, Geoscience, Infrastructure and Society and the Institute for GeoEnergy Engineering at Heriot-Watt University. His research focuses on well decommissioning, advanced well completion technologies, intelligent well design, and integrated asset modeling with a particular emphasis on CO2 storage integrity and optimization under uncertainty. He teaches Drilling Engineering and Integrated Asset Modelling. His research outputs span topics such as risk-based well integrity assessment for CO2 storage, flow control device optimization in multilateral wells, and methane emissions from decommissioned petroleum wells in British Columbia. He employs hybrid optimization techniques, machine learning, and numerical simulation to address challenges in reservoir management and environmental impact assessment. Key collaborations involve institutions exploring CO2 storage applications and advanced well technologies. His work bridges theoretical models with practical field applications, emphasizing proactive optimization and sustainability in energy systems.
