جستجوی استاد راهنمای دانشگاهی

Kwanghee Jeongمشاهده پروفایل

پژوهشگر ارشد

• Flow Assurance
• Hydrogen Liquefaction
• Carbon Capture and Storage
• +۵ مورد دیگر

Kwanghee Jeong is a Research Fellow at the University of Western Australia , affiliated with the Fluid Science and Resources research group within the School of Engineering and Chemical Engineering Department . His work focuses on energy transport, decarbonisation technologies, and flow assurance. Education: PhD in Chemical Engineering (UWA, 2020), BSc in Mechanical Engineering (Dongguk University, 2014) Research Themes include: Flow Assurance for hydrogen, CO2, and natural gas pipelines Carbon Capture & Emissions Management (MOFs, Raman spectroscopy) Cryogenic Hydrogen Process Engineering (liquefaction, boil-off gas) Cold Energy Utilisation and Waste Heat Recovery Hydrate Formation Kinetics via Acoustic Levitation Article Trends reflect expertise in: Using Raman spectroscopy for real-time adsorption and phase transition analysis Developing Joule-Thomson loops to simulate pipeline conditions Optimizing Metal-Organic Frameworks for GHG separation Advancing hydrogen liquefaction efficiency through catalysis Addressing microplastics and hydrate nucleation via spectroscopic methods Scientific Awards : Best Poster Award (2023) - Natural Gas UWA Travel Award (2017) ARC PhD Scholarship (2016) He contributes to UN Sustainable Development Goals via decarbonisation research and has collaborated with Chevron, Woodside Energy, and Curtin University. His technical skills include Aspen HYSYS, OLGA simulations, HAZOP studies, and Differential Scanning Calorimetry (DSC).

Seyed Mojtaba Hoseyniمشاهده پروفایل

مدرس

• Process Safety
• Hydrogen Safety
• Risk Assessment
• +۶ مورد دیگر

Dr. Seyed Mojtaba Hoseyni is a Lecturer in Process Safety and Loss Prevention at the School of Chemical, Materials and Biological Engineering, University of Sheffield. Previously a Postdoctoral Research Associate at the same institution (2022-2024), he holds a PhD in Energy Engineering from Politecnico di Milano (2021). His research focuses on enhancing system resilience, risk assessment, and decision-making under uncertainty in engineering systems, particularly for decarbonization applications. Royal Academy of Engineering Global Talent (Exceptional Promise) in Chemical and Process Engineering His work spans hydrogen safety, climate change risk, nuclear engineering safety, and predictive maintenance. Recent publications emphasize integrating resilience metrics into HAZOP analysis and optimizing sensor placement for risk-informed decision-making. Teaching activities include the Hazards and Protections module (CPE61020). Specializes in RAMS (Reliability, Availability, Maintainability, and Safety) analysis Develops safety frameworks for hydrogen energy systems Applies advanced computational techniques to nuclear and industrial safety

• Social Robotics
• Human-Robot Interaction
• Robotics for Autism
• +۳ مورد دیگر

Sílvia Moros Espanol serves as a Senior Lecturer in the Department of Computer Science within the School of Physics, Engineering & Computer Science at the University of Hertfordshire, where she actively contributes to the Robotics Research Group. Her interdisciplinary work bridges engineering, psychology, and education to develop socially assistive robotic systems. Her academic credentials include: Industrial Engineering degree from Universitat Politècnica de Catalunya (UPC) PAIR Master in Automated Production and Robotics from Fundació CIM - UPC Robotics and Automation Master from Universidad Carlos III, Madrid Psychology degree from Universitat Oberta de Catalunya (UOC) Dr. Moros Espanol specializes in socially impactful robotics, with primary focus on Human-Robot Interaction (HRI) for children with autism and ethical considerations in vulnerable populations. Her research examines how robotic behaviors influence social engagement in educational contexts, emphasizing both technical design and psychological implications. She investigates critical questions about robot embodiment, error handling in educational tools, and ethical frameworks for assistive technologies. Analysis of her 2024-2025 publications reveals consistent exploration of child-robot dynamics, with significant emphasis on ethical hazard analysis (X-HAZOP), comparative studies of robot forms (e.g., robot dogs), and children's ability to interpret robotic social cues. Her work demonstrates strong interdisciplinary collaboration across psychology, engineering, and AI ethics. She maintains active research partnerships within the University of Hertfordshire's Robotics Research Group, collaborating extensively with scholars like Paul Holthaus and Gabor Lakatos on projects examining trust, social cues, and educational applications of robotics. While specific grant details aren't provided, her sustained publication output indicates robust ongoing research activity.

Masood Mansooriمشاهده پروفایل

مدرس

• Intrusion Detection
• Deception Systems
• Honeypots
• +۵ مورد دیگر

Dr. Masood Mansoori is a Lecturer at the School of Professional Studies , UNSW Canberra . He holds a PhD in Engineering from Victoria University of Wellington, New Zealand (2017), a Master of Computer Science from University Malaya, Malaysia (2010), and a Bachelor of Computer Science & IT from Eastern Mediterranean University, Cyprus (2005). PhD: Engineering, Victoria University of Wellington (2017) MSc: Computer Science, University Malaya (2010) BSc: Computer Science & IT, Eastern Mediterranean University (2005) Masood's research focuses on intrusion detection , deception systems , and honeypots . He designed YALIH and miniC , two client honeypots, and contributed to open-source projects like Cowrie Honeypot . His work spans browser-based geolocation attacks , IoT security , and malicious web behavior analysis . Recent publications include studies on advanced persistent threats using genetic programming (2024), ransomware classification via particle swarm optimization (2022), and IoT attack clustering with autoencoders (2022). His research integrates machine learning and security analytics to address evolving cyber threats. Scientific Awards : Best Student Paper Award, Australian Information Security Conference (ACSW - AISC), 2014 Best Student Paper Award, Australian Information Security Conference (ACSW - AISC), 2013 Victoria University of Wellington Scholarship, 2013 CORE Scholarship, 2015 Masood has extensive experience in curriculum design , course coordination , and teaching cybersecurity , digital forensics, risk management, and network security. He currently works at D236, UNSW Canberra, Reid Campus .

Burak Zincirمشاهده پروفایل

دانشیار

• Alternative Fuels
• Maritime Transportation Engineering
• Greenhouse Gas Emissions
• +۴ مورد دیگر

Burak Zincir is an Associate Professor in the Department of Marine Engineering at Istanbul Technical University. His research focuses on sustainable alternative fuels, decarbonization strategies in maritime transportation, and environmental impact analysis of marine technologies. He has led projects such as the 'Sustainable Biofuel Assessment Model for Maritime Transportation' and 'Determination and Analysis of Risk Factors in Ammonia-Fueled Ship Fuel Supply System.' His work emphasizes alternative fuels like hydrogen, ammonia, and biofuels, alongside regulatory compliance with international standards (e.g., IMO criteria). He has received the 'Most Successful Doctoral Thesis Award 2019' in 2020, recognizing his contributions to maritime decarbonization research. Recent publications explore CCS-SCR integration, hydrogen fuel cells for cargo ships, and lifecycle emissions of biofuels. His projects often involve case studies analyzing fuel viability, policy implications, and energy efficiency improvements in maritime systems. Zincir's research collaborations span environmental engineering, renewable energy integration, and shipping policy analysis. He actively contributes to global efforts to reduce greenhouse gas emissions through innovative fuel solutions and sustainable maritime practices.

Mahendra Singhمشاهده پروفایل

پژوهشگر

• Energy Management
• Smart Buildings
• Energy Transition
• +۶ مورد دیگر

Dr. Mahendra Singh is a Researcher and Data Scientist in the Department of Energy Technologies and Energy Systems , currently affiliated with Fraunhofer ISI . He holds a joint doctorate from the Grenoble Institute of Technology, France, and the European Institute of Innovation & Technology (EIT). His research focuses on energy management, smart buildings, innovation clusters, and data-driven business models in the energy sector. Key projects include the Thai-German Cooperation on Energy, Mobility and Climate (TGC EMC) ; ENTEC Energy Transition Expert Network ; and Common European Energy Data Space . He has contributed to studies on energy transition policies, digitalization of energy flexibility, and cleantech startup ecosystems. His work integrates data analysis and diagnostic tools for building systems, with notable contributions to fault detection in smart buildings and energy consumption analysis of consumer electronics. Over 20+ peer-reviewed publications reflect his expertise in energy systems, sustainability, and innovation strategies. Mahendra’s academic trajectory includes a postdoc at the Maersk Mc-Kinney Moller Institute (Denmark) and collaborations across Europe and Asia. He advises on EU-funded initiatives and industry partnerships, emphasizing actionable insights for energy transition challenges.

• Telecommunications
• Renewable Energy Systems
• Cybersecurity
• +۵ مورد دیگر

Hüseyin Canbolat is a Professor at Ankara Yıldırım Beyazıt University's Faculty of Engineering and Natural Sciences, Department of Electrical and Electronics Engineering. He has held academic positions since 1989, including Professor (2016–present), Associate Professor at Yıldırım Beyazıt University and Mersin University, and Assistant Professor at Mersin University. He served as Head of Department at Yıldırım Beyazıt University (2016–2019) and Mersin University (1998–1999). His research interests focus on telecommunications, renewable energy systems, cybersecurity, signal processing, and environmental engineering. Notable trends in his work include design of 5G antennas, smart energy systems for refugee camps, and steganography applications. He has supervised 15 postgraduate and doctoral theses since 2015, addressing topics such as HAZOP in oil refineries, PLC/SCADA systems, and environmental sound recognition. No scientific awards are listed, but his extensive academic leadership and 30+ years of experience highlight his contributions. His advisory work spans control systems, safety engineering, and sustainable energy solutions.

Jing Wuمشاهده پروفایل

استادیار

• Process Safety
• Functional Modeling
• Risk Management
• +۳ مورد دیگر

Dr. Jing Wu is an Assistant Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark. Her research focuses on bridging human cognition with system functionality, particularly in the domains of process safety, hazard analysis, and human-robot collaboration. She develops frameworks for risk-informed design and integrates Industry 4.0 principles into sustainable logistics and maintenance optimization. Her recent publications emphasize cognitive decision support in energy systems, functional safety in robotics, and advanced hazard analysis techniques using multilevel flow modeling. These works demonstrate a consistent focus on improving system reliability and safety through interdisciplinary approaches combining engineering, AI, and human factors. Dr. Wu contributes to sustainable industrial evolution through dynamic maintenance frameworks and explores the integration of sustainability principles with emerging technologies across logistics and automation systems.

• Robotics
• Mechatronics
• Motion Control
• +۵ مورد دیگر

Roberto Oboe is an Associate Professor at the University of Padova's Department of Management Engineering. His research focuses on advanced motion control systems, mechatronics, and robotics, with notable contributions to remote handling systems for nuclear facilities, admittance control methodologies, and sensor technology integration in industrial and aerospace applications. He has led projects involving SPES (Selective Production of Exotic Species) facility automation, haptic feedback systems, and UAV localization. His technical work spans multiple disciplines including robotic control, nuclear engineering safety protocols, and sensor-based anomaly detection. Key projects include the development of intelligent remote handling systems for radioactive materials and the optimization of bilateral teleoperation systems. He actively contributes to IEEE editorial boards and serves as a Ph.D. examiner. Research highlights include: Admittance control frameworks for high-stiffness robotic interactions Pioneering work on MEMS-based mirror control systems Development of semi-quantitative risk assessment methodologies Advancements in indoor UAV navigation systems Publications emphasize practical applications with over 50 peer-reviewed articles since 2016, covering topics from neuronal avalanche analysis to industrial servopositioner improvements.

Catherine Menonمشاهده پروفایل

دانشگاهی

• Ethics of Artificial Intelligence
• Safety-critical autonomous systems
• Assistive and rehabilitative robotics
• +۳ مورد دیگر

Dr Catherine Menon is a Reader in the Department of Computer Science, School of Physics, Engineering & Computer Science at the University of Hertfordshire. She specialises in the ethics, safety, security and trustworthiness of AI-enabled systems, particularly assistive and rehabilitative robotics, and contributes actively to international robotics standards. Research Interests Menon’s work sits at the intersection of computer science, philosophy and engineering. She investigates how ethical hazards emerge in public-facing AI and how rigorous design can mitigate them. Her recent focus is the interplay between safety, security, ethical and trust requirements in assistive robots used in health and social care. She also explores creative approaches to assurance arguments for safety-critical autonomous systems. She has applied these interests in defence, nuclear and healthcare domains and holds leadership roles on several British and international standards committees (BSI AMT/10, ISO/TC 299, IEEE P7009, IET Safety & Security Code of Practice). Grants & Projects STRAWMAN (PI) – UKRI-funded scoping study for an industry safety standard for assistive robots in health and social care (2024-2025). CuPick (Co-I) – Innovate UK / Glinwell joint project developing robotic cucumber harvesting systems (2019-2022). SocCred (PI) – 5-month feasibility study on safety and social credibility of assistive robots (2019). Standards & Professional Service Member, BSI AMT/10 & AMT/10/1 – UK expert input to ISO/TC 299 (robotics standardisation). Member, IEEE P7009 Working Group – fail-safe design of autonomous systems. Founding member, Safety of Autonomous Systems Working Group. Programme Committee member, International Cross-Industry Safety Committee. Dr Menon has authored over 45 peer-reviewed articles and is regularly invited to speak on AI ethics and safety.

• Materials Science
• Nanotechnology
• Maritime Engineering
• +۶ مورد دیگر

Yasin Arslanoglu is a Professor at Istanbul Technical University's Department of Fundamental Sciences. His work bridges materials science, maritime engineering, and risk assessment with over 20 publications and 6 led projects. His research focuses on phthalocyanine-based materials, nanotechnology, and maritime safety systems. Education details not explicitly listed. Research Interests Dr. Arslanoglu's research spans: Phthalocyanine synthesis and photophysical properties Risk assessment in maritime operations AI-driven ship power grid analysis Environmental sustainability in marine transport Maintenance optimization for machinery systems Recent Article Trends Recent works emphasize maritime decarbonization strategies (dual-fuel engines, alternative fuels) and predictive maintenance systems using AI. He also explores nanomaterials for catalytic applications. Awards Recipient of the 2013 Best Poster Award. Grants/Advising PI on projects including 'Risk Prediction Modeling for Container Terminals' (2020-2022) and 'AI in Ship Power Grids' (2019-2022). No formal advisee list available.

Joan Cordinerمشاهده پروفایل

استاد

• Process Engineering
• Process Safety
• Hydrogen Safety
• +۷ مورد دیگر

Professor Joan Cordiner serves as Head of the School of Chemical, Materials and Biological Engineering at the University of Sheffield, a position she assumed in 2021 after joining the department as Professor of Process Engineering and External Engagement in 2020. With a distinguished career at Syngenta spanning global and senior management roles, she brings extensive expertise in leadership, process design, complex modeling, and industry-academia collaboration to her academic leadership. Her research focuses on revolutionizing process efficiency and safety through cutting-edge modeling technologies. The Cordiner Group develops innovative mechanistic and data-driven models to address critical challenges in predictive maintenance, mRNA vaccine production, decarbonization strategies, hydrogen safety, and process resilience. Their work bridges academia and industry, exemplified by the spin-out company Kausalyze which transforms research into practical predictive maintenance solutions for manufacturers. Professor Cordiner's publications reveal a strategic research evolution toward integrating artificial intelligence with chemical engineering fundamentals to solve emerging industrial challenges. Recent work demonstrates increasing focus on hydrogen safety infrastructure, mRNA production technologies, and resilience assessment methodologies - all critical areas for the global transition to net-zero industrial processes. Her exceptional contributions have earned recognition through prestigious fellowships: Fellow of the Royal Academy of Engineering (FREng) Fellow of the Royal Society of Edinburgh (FRSE) Fellow of the Institute of Chemical Engineers (FIChemE) Fellow of the American Institute of Chemical Engineers (FAIChE) Chartered Engineer (CEng) Professor Cordiner has secured substantial research funding including current grants from Wellcome Leap for RNA production technology and EPSRC for sustainable microwave manufacturing. She actively serves on influential committees including the Royal Academy Policy committee and National Engineering Policy Centre, where she shapes national engineering policy. Her group maintains strategic partnerships with the UK HyRES Hub for Hydrogen research, the Vax Hub for vaccine development, and critical materials initiatives supporting net-zero technologies. The Cordiner Group operates at the vital intersection of academia and industry, with their 'Breaking down barriers' initiative featured in Nature highlighting their commitment to strengthening collaborative research models. Their work directly addresses industrial challenges while advancing fundamental engineering knowledge, creating a powerful feedback loop between theoretical innovation and practical application.

• Aviation Safety Management
• Operational Risk in Aviation
• Safety, Resilience, Risk & Reliability
• +۶ مورد دیگر

Dr David Barry is a Senior Lecturer in Aviation Safety Management at Cranfield University, based in the Centre for Safety and Accident Investigation within the Transport Systems school. He leads the Aviation Safety Management, Flight Data Monitoring, and Crisis Management modules and serves as Course Director for the online MSc and Mastership programme in Aviation Safety Management, Risk and Regulation. Education: MSc in Air Safety Management, City University, London (2008, with distinction) PhD in Operational Risk in Aviation, Cranfield University (2020) David's research focuses on leveraging data and advanced analytical techniques such as Bayesian networks and natural language processing (NLP) to enhance aviation safety. His work emphasizes quantitative risk assessment, flight data monitoring, and the extraction of safety knowledge from incident reports. He is particularly interested in applying machine learning and AI to transform raw operational data into actionable safety insights. His recent publications highlight a strong trend toward integrating AI and NLP into safety management systems, especially for hazard identification and risk modelling in aviation. These works span journals such as Safety Science , Transportation Research Part C , and Proceedings of the Institution of Mechanical Engineers, Part O . Professional Affiliations and Recognition: Member, International Society of Air Safety Investigators Member, Royal Aeronautical Society Holds a Private Pilot’s Licence David has advised and collaborated with major aviation clients including EASA, Malaysia Airlines, Air Astana, and Highlands and Islands Airports. His work bridges academic research and industry application, contributing to real-world safety improvements in air transport. He is actively involved in developing innovative training and risk assessment frameworks. He is associated with the Centre for Safety and Accident Investigation, a leading hub for aviation safety research and education at Cranfield, which supports both postgraduate teaching and professional development in accident investigation and safety management.

Sara Moghtadernejadمشاهده پروفایل

دانشیار

• Multiphase Flow
• Powder Technology
• Additive Manufacturing
• +۷ مورد دیگر

Dr. Sara Moghtadernejad is an Associate Professor and Undergraduate Advisor in the Department of Chemical Engineering at California State University Long Beach (CSULB), where she has held the position since Fall 2018. In Fall 2023, she was granted early tenure and promoted. She holds a PhD in Mechanical Engineering from Concordia University (Canada), an MS from the University of Queensland (Australia), and a BS in Chemical Engineering from Sharif University of Technology (Iran). Prior to CSULB, she held postdoctoral roles at McGill University’s Biomimetic Surface Engineering Lab and Rutgers University’s NSF Engineering Research Center on Structured Organic Particulate Systems (CSOPS). Her research focuses on multiphase flow, powder technology, additive manufacturing, and pharmaceutical manufacturing, addressing industrial challenges through interdisciplinary approaches. The Multiphase Flow Lab (MFL) she directs emphasizes practical applications, employing advanced experimental setups and numerical/statistical analyses. Key collaborators include the FDA, AFRL, and companies like Johnson & Johnson and 3M. Her work spans pharmaceutical process optimization, metal powder characterization for automotive/aerospace 3D printing, aerospace icing prevention, and oil/gas industry corrosion mitigation. Moghtadernejad’s expertise extends to regulatory affairs and HSE (Health, Safety, Environment), with contributions to risk management frameworks and compliance documentation. She has been recognized as a Beach Mentor (2021) and holds certifications in advanced simulation tools and professional engineering. Her lab collaborates with industries across aerospace, pharmaceuticals, and energy sectors, emphasizing sustainable solutions and technological innovation. Her educational background includes training in HAZOP studies, process simulation (HYSYS), and multiphysics modeling. She has supervised industry partnerships and training programs for FDA and pharmaceutical companies, emphasizing continuous manufacturing and process development. The MFL’s research outputs aim to enhance material performance, operational efficiency, and safety standards across multiple industries.

• Web Engineering
• HAZOP
• Requirement Model
• +۵ مورد دیگر

Barry Hebbron is an Associate Professor (Enterprise) in the Department of Computing & Games at Teesside University. His research focuses on web engineering methodologies, requirement modeling, and educational technology. He holds a Master's in High Integrity Systems Computer Science from the University of York (1996). Research interests include HAZOP analysis, WEB Method frameworks, and integrating web-based tools for collaborative learning. His work emphasizes empirical methodologies in software engineering education and web development practices. Notable projects include the KTP collaboration with Tekgem (2023-2025), Dynamic CCTV GAP project (2022-2023), and the Intelligent Digital Twin project with Direct Line Supplies (2021-2024). These span business intelligence solutions, operational systems analysis, and distribution optimization using digital twin technologies. Publications highlight contributions to web-based teaching tools, group project methodologies, and empirical research strategies in web engineering contexts.