Find Academic Supervisors

• High Voltage Engineering
• Power Systems
• Partial Discharge Monitoring
• +5 more

Uwe Schichler is a Professor at the Institute of High Voltage Engineering and System Management at TU Graz. His research focuses on high voltage engineering, partial discharge monitoring, and the integration of renewable energy into power systems. He leads projects on MVDC cable systems, insulation materials, and grid modernization. His work bridges academic research with industrial applications, including contributions to CIGRE standards and eco-friendly alternative gases for gas-insulated systems. Research interests include high-voltage insulation materials (e.g., XLPE cables, 3D printed insulators), DC grid technologies, and advanced diagnostics for power equipment. He explores novel sensors for dynamic line rating and machine learning applications in partial discharge classification. His team investigates innovative propulsion systems like ionic wind for aircraft and addresses environmental challenges in power systems. Recent publications emphasize standardization of high-voltage testing, DC system qualification, and corona noise reduction in overhead lines. He collaborates with industry partners on projects like MVDC battery storage systems and hybrid AC/DC grids. His work supports the energy transition through improved grid efficiency and sustainability.

Jing YaoView profile

Professor

• Geographic Information Science
• Spatial Analysis
• Spatial Statistics
• +5 more

Professor Jing Yao is a leading academic in Urban Analytics and Geographic Information Science at the University of Glasgow, affiliated with the Urban Big Data Centre. She holds a PhD in Geography from Arizona State University (ASU) and advanced degrees in GIS from Nanjing University. Her research focuses on spatial optimization, health geography, and urban planning, with applications in emergency service location modeling, environmental monitoring, and socio-spatial equity. Education: PhD in Geography (ASU), MSc Industrial Engineering (ASU), MSc & BSc GIS (Nanjing University). Research: Specializes in spatial analysis, GeoAI, and urban-rural disparities. Recent work includes optimizing emergency medical services, analyzing pandemic impacts on urban resilience, and tracking global rangeland conditions via big data. Grants & Collaborations: Principal Investigator for projects on rangeland tracking (£11,970) and healthy urban spaces (£9,800). Co-Investigator in ESRC-funded Urban Big Data Centre and GCRF SHLC. Supervises PhD students in spatial optimization and GeoAI. Hosts visiting scholars from Chinese institutions. Teaching & Training: Leads postgraduate courses on GIS, spatial analysis, and urban research methods at the Urban Big Data Centre.

Pedro NardelliView profile

Professor

• Cyber-physical Systems
• IoT in Energy Systems
• Smart Grids
• +5 more

Pedro Nardelli is a Full Professor (tenured) of IoT in Energy Systems at the LUT School of Energy Systems, Lappeenranta University of Technology (Finland). He holds a double doctoral degree in electrical engineering from the University of Campinas (Brazil) and communications engineering from the University of Oulu (Finland). As a Docent in Information Processing and Communications Strategies for Energy Systems, he leads research in cyber-physical systems, smart grids, and 6G-enabled energy networks. Research Interests : His work focuses on integrating IoT, AI, and communication technologies into energy systems. Key areas include cyber-physical systems, UAV-enabled networks, sustainable energy management, and cybersecurity in critical infrastructure. He emphasizes interdisciplinary approaches to address challenges in the green-digital transition. Projects & Leadership : He is Principal Investigator for projects such as 'Energy-Conscious Operation: Network Efficiency for Wireless Sustainability' (2024–2026) and coordinates the Finnish-Brazilian AI and 5G training program. Past roles include leadership in the 'Hydrogen and Carbon Value Chains in Green Electrification' initiative (2021–2024). Publications : Recent work explores topics like hybrid optimal power flow models, UAV-IRS NOMA systems, and energy-centric analysis. His research bridges theoretical frameworks with practical applications, emphasizing sustainability and resilience in energy networks. Labs & Teams : Leads the IoT Solutions group within LUT's MORE SIM research platform, focusing on simulation-driven innovation for energy systems.

• Pervasive Sensing
• Tiny Machine Learning (TinyML)
• Edge AI
• +7 more

Prof. Eiman Kanjo is a Professor of Pervasive Sensing & TinyML and Head of the Smart Sensing Lab at Nottingham Trent University. She leads the Smart Nottingham and Smart Campus initiatives, focusing on impactful applications of mobile sensing, wearable tech, and edge AI. Her work bridges academia, industry, and community, emphasizing privacy-preserving AI for mental health, environmental monitoring, and social prescribing. Education: PhD in Computer Science (2005), University of Abertay Dundee. Formerly a Research Associate at the University of Cambridge and researcher at the University of Nottingham’s Mixed Reality Lab. Collaborates with organizations like the tinyML Foundation, Health Data Research UK (HDRUK), and the Alan Turing Institute. Research Interests : Pervasive computing, TinyML, Edge AI, wearable devices, environmental sensing, mental health technologies, and community-driven solutions for urban wellbeing. She pioneered early mobile sensing systems like NoiseSPY (2010) and MobSens (2009). Key Projects : 5G Connected Forest (£10m DCMS grant) : Smart environmental monitoring in Sherwood Forest. TagWithMe : AI-driven proximity-based games for community wellbeing. EPSRC Green+ Network : Tech for healthier environments. Awards & Recognition : Top 50 Women in Engineering (2023). Outstanding Educator of the Year Award (EDGE AI Foundation, 2023). 2021 Vice-Chancellor’s Outstanding Research Team Award (Smart Sensing Lab). Grants & Collaborations : Over £10m in funding from EPSRC, InnovateUK, MOD, and DEFRA. Partners include Nottingham City Council, tinyML Foundation, Health Data Research UK, and industry stakeholders. Labs & Initiatives : Leads the Smart Sensing Lab , developing technologies for Green Social Prescribing at Rufford Country Park and Highbury Mental Health Hospital.

• Financial Engineering
• Corporate Governance
• Banking Regulation (Basil II)
• +7 more

WU Jian is a Professor of Finance at NEOMA Business School, serving ten years as Head of the Economics and Finance Department. She teaches investment, financial risk management, and sustainable finance across undergraduate and executive programs. Her research focuses on financial engineering, banking regulation, corporate governance, and ESG integration. Notable contributions include studies on green bonds' impact on manufacturing, carbon pricing mechanisms in EU countries, and the diffusion of corporate social responsibility through board interlocks. Education: Holds a Doctorate in Management Sciences with specialization in Finance. Professional activities include organizing seminars on banking capital structure and presenting at global conferences such as EFMA, AFFI, and ATINER. Recent work emphasizes sustainability topics like smart agriculture evaluation and carbon subsidy effectiveness in Chinese cities. Her publications span journals like Renewable Energy , Economics Letters , and Bankers, Markets & Investors , reflecting expertise in both theoretical finance (e.g., exotic options) and applied sustainability research. Active in international academic networks, she contributes to bridging financial innovation with real-economy applications.

Karim BoutibaView profile

Research Fellow

• 5G Networks
• 6G Networks
• Network Slicing
• +4 more

Karim Boutiba is a Research Fellow at EURECOM's Communication Systems department, specializing in 5G/6G networks and advanced wireless technologies. His work focuses on optimizing network performance through machine learning, resource management, and network slicing. He contributes to both theoretical advancements and practical implementations, such as the 5G INSTRUCT forge pipeline and the GoSimRIS framework for 6G networks. His research interests span dynamic radio resource allocation, energy-efficient communication, and the integration of artificial intelligence in next-generation networks. Notable projects include leveraging deep reinforcement learning (DRL) for optimizing TDD patterns, O-RAN architectures, and edge computing solutions to enhance video streaming and latency-critical applications. Boutiba's publications emphasize the practical deployment of theoretical models, such as network slicing in Radio Access Networks (RAN) and anomaly detection using machine learning. His work bridges gaps between academic research and industry-ready solutions, with active participation in initiatives like the 6G-BRICKS architecture project.

Harish Sarma KrishnamoorthyView profile

Associate Professor

• High-density power converters
• Solid-state transformers
• Power electronics for renewable energy integration
• +3 more

Dr. Harish Sarma Krishnamoorthy serves as Associate Professor in the Department of Electrical and Computer Engineering at the University of Houston, College of Engineering. He holds concurrent roles as Associate Director of the PEMSEC Consortium and Associate Editor of IEEE Transactions on Power Electronics. Ph.D. in Electrical and Computer Engineering (2015), Texas A&M University B.Tech. in Electrical and Electronics Engineering (2008), National Institute of Technology Tiruchirappalli, India His research focuses on high-density power conversion systems with particular emphasis on solid-state transformers for renewable energy integration, machine learning-driven health analytics for power electronics, and converter solutions for extreme environments in aerospace, defense, and subsea applications. Current projects include NSF CAREER-funded work on Edge Intelligence for power converters and DOE ARPA-E OPEN 2021 Mini-PulPS initiative for pulsed power systems. Recent publications highlight advancements in GaN HEMT reliability testing, resonant circuit breaker topologies, and multiport energy routers for hybrid renewable-oil & gas systems. His work spans converter design for 5G communication, NMR metrology, and electric aircraft propulsion architectures. NSF CAREER Award recipient (2023) IEEE PELS Young Professional Exceptional Service Award OTC Emerging Leader recognition (2022) GE 6-Sigma Green Belt Certification Best Presentation Awards at IEEE APEC He teaches graduate courses on power converters, modeling, and renewable energy systems while leading industry-funded research programs with applications in electric vehicles, data centers, and offshore energy systems.

• Sustainability
• Circular Economy
• Environmental Management
• +3 more

Konstantinos Tsagarakis is a Professor at the School of Production Engineering and Management, Technical University of Crete. His office is located at Δ5.107, DPEM Building (Δ5), 1st Floor, and he can be contacted via email at ktsagarakis@tuc.gr or by telephone at +302821037252. His research focuses on interdisciplinary sustainability solutions, with primary expertise in: Circular economy implementation and policy analysis Sustainable production systems and environmental management Renewable energy integration and prosumer models Data-driven approaches to sustainability using social media analytics Industry 4.0 applications for sustainable development Analysis of his recent publications reveals three dominant research streams: 1) Advanced data mining techniques applied to sustainability metrics across social media platforms, 2) Policy and institutional analysis of circular economy frameworks in various industrial sectors, and 3) Technological enablers (IoT, AI, cloud computing) for sustainable transformation. His work consistently demonstrates methodological innovation through mixed-methods approaches combining empirical analysis with computational techniques.

• High-performance Computing
• Energy-efficient Computing
• Machine Learning
• +3 more

Dr. Ngoc Nha Vi Tran is an Associate Professor of Computer Science at UiT The Arctic University of Norway. She holds a PhD from UiT and was a visiting scholar at Rutgers University, USA. Her research focuses on high-performance and energy-efficient computing, machine learning, and bioinformatics. She is a member of the NORA.startup Steering Group and leads the Arctic Green Computing Group. Education: PhD in Computer Science (UiT), M.Sc. in Software Engineering via Erasmus Mundus (Blekinge Institute of Technology, Sweden & Technical University of Kaiserslautern, Germany). Research interests include energy-efficient algorithms, bioinformatics tools (e.g., vCOMBAT), and applications of machine learning in healthcare and robotics. She teaches courses such as INF-2200 Computer Architecture, INF-2900 Software Engineering, and INF-2202 Concurrent Programming. Her work spans computational models for antibiotic target-binding, runtime energy optimization (REOH framework), and power models for embedded systems (RTHpower/ICE). She contributed to the EXCESS project on energy-efficient computing systems. Labs/Teams: Arctic Green Computing Group, EXCESS consortium.

Mo WangView profile

Professor

• Retirement and Older Worker Employment
• Occupational Health Psychology
• Expatriate and Newcomer Adjustment
• +2 more

Mo Wang is a University Distinguished Professor and Lanzillotti-McKethan Eminent Scholar Chair at the University of Florida’s Warrington College of Business. He holds multiple leadership roles including Associate Dean for Research and Strategic Initiatives, Management Department Chair, and Director of the Human Resource Research Center. His research focuses on retirement strategies, occupational health, leadership dynamics, and advanced quantitative methods, supported by over $5M in federal funding from NIH, NSF, and CDC. Education: PhD (2005), MA (2003) from Bowling Green State University; BS (2001) from Peking University. Research interests include retirement policy, older worker employment, expatriate adjustment, and team processes. His work has been featured in major media outlets like the New York Times and Wall Street Journal, and he advised U.S. Congress on retirement policies. A Fellow of AOM, APA, APS, and SIOP, he leads editorial roles for journals like Work, Aging and Retirement and serves on National Academies committees. Recent articles explore age bias in creativity, AI-driven workplace practices, and organizational resilience during crises. Awards include the Academy of Management HR Division Scholarly Achievement Award (2008) and SIOP’s William A. Owens Award (2016).

Yew Weng KeanView profile

Assistant Professor

• Renewable Energy
• Smart Grids
• Microgrids
• +5 more

Dr. Yew Weng Kean is an Assistant Professor in the Department of Electrical Engineering at Heriot-Watt University Malaysia, part of the School of Engineering & Physical Sciences. He holds a Ph.D. in Electrical Engineering from Universiti Tenaga Nasional, where his doctoral work focused on "Design of an AC-coupled stand-alone hybrid renewable energy system with an improved control strategy". His research expertise encompasses microgrids, renewable energy systems, smart grids, and AI-driven solutions for energy management. He actively contributes to interdisciplinary projects involving material science, computer vision, and sustainable technologies. His research interests span microgrid optimization, stand-alone hybrid systems, solar PV integration, energy storage technologies, and artificial intelligence applications in energy sectors. He has authored over 24 peer-reviewed publications, with recent work focusing on defect detection in wind turbine blades, advanced control mechanisms for multi-agent systems, and sustainable bio-hydrogen production. Dr. Yew’s articles highlight trends in combining AI with renewable energy systems, such as deep learning models for fault diagnosis in photovoltaic arrays and novel approaches to wind turbine blade inspection via aerial imagery. His work also addresses challenges in material science, including heat treatment effects on aluminum alloys and acoustic properties of natural fibers. He currently supervises research in energy systems, smart grids, and sustainable materials, and collaborates on global energy education initiatives. His affiliations include roles in university-led sustainability projects and contributions to IEEE-related conferences.

Risteski AleksandarView profile

Professor

• Telecommunications
• Cybersecurity
• Blockchain Technology
• +5 more

Professor Risteski Aleksandar holds a Ph.D. in Telecommunications and has been a faculty member at the Faculty of Electrical Engineering and Information Technologies, University Ss. Cyril and Methodius, since 1996. He currently serves as a Professor and has held roles including Vice-Dean for Science and International Cooperation (2008–2016). His research focuses on telecommunications, cybersecurity, blockchain applications in education, and IoT security. He has extensive industry experience, including internships at IBM T.J. Watson Research Center in the U.S. Education: Ph.D. in Telecommunications (2001–2004) M.Sc. in Telecommunications (1997–2000) Dipl. Ing. in Electronics and Telecommunications (1991–1996) Research Interests: Blockchain technology for academic credential verification Cybersecurity in tactical communication systems IoT energy efficiency and reliability Network intrusion detection using deep learning Anti-forgery systems using AI and blockchain Publications Trends: Over 50 publications since 2000, with recent focus on blockchain applications in education, cybersecurity frameworks for 5G networks, and IoT energy optimization. His work bridges theoretical advancements with practical implementations in telecommunication infrastructure. Awards: No specific awards listed, though his contributions to blockchain-based educational systems and cybersecurity research are notable. Advising & Grants: No listed students, but active in research projects funded by industry partnerships. Collaborations include IBM Research and initiatives in Macedonia's telecommunication sector. Labs/Teams: Affiliated with the Institute of Telecommunications at his faculty, focusing on network security and emerging technologies.

• Hospitality Management
• Human Resource Management
• Employee Motivation
• +3 more

Nataša Stanišić is an academic at Singidunum University affiliated with the Faculty of Business and Department of Management and Business. She holds a Doctorate in Management and Business (2021), Master's in Financial Management from Lincoln University (2006-2008), and a Bachelor's in English Language and Literature from Faculty of Philology (1999-2005). Her research focuses on hospitality industry dynamics, employee motivation frameworks, sustainable tourism development, and human resource management strategies. Key research interests include applying behavioral theories in workplace environments, analyzing labor market trends in Serbia, and exploring blended learning methodologies in tertiary education. She has contributed to studies on employer branding in IT sectors and the impact of pandemic disruptions on tourism industries. Her recent work highlights innovations in HR practices for agile cultures, competency modeling in hospitality sectors, and evaluating translation technologies. She has co-authored over 15 papers presented at international conferences like Sinteza and SITCON, addressing topics ranging from slow tourism concepts to collaborative web development pedagogy. No scientific awards are listed in the provided materials. Her academic contributions include curriculum development for business education and cross-disciplinary research bridging technology adoption with organizational behavior.

• Sustainable Supply Chain Management
• Logistics and Humanitarian Logistics
• Operations Management
• +4 more

M. Ali Ülkü is a Professor and Director of the Centre for Research in Sustainable Supply Chain Analytics at Dalhousie University's Faculty of Management, where he also serves as Acting Chair of the Management Science & Information Systems Department. He holds cross-appointments in the College of Sustainability, Department of Industrial Engineering, and School for Resource and Environmental Studies. His educational background includes: PhD in Management Sciences (University of Waterloo) MSc in Operations Research (Çukurova University) BSc in Industrial Engineering (Bilkent University) Dr. Ülkü's research centers on sustainable supply chain innovation , with expertise in circular economy logistics, humanitarian operations, and green marketing analytics. His interdisciplinary work applies big data methodologies to solve environmental challenges, emphasizing "the science and teaching of better" through student-led research initiatives. Recent publications (2022-2023) reveal a strategic focus on climate-resilient supply chains, integrating machine learning for multimodal logistics optimization and game-theoretic models for green product development. Key themes include shipment consolidation techniques, physical internet applications, and subsidy-driven sustainability in duopolistic markets. Notable recognitions include: A. Gordon Archibald Teaching Excellence Award (2023) Global Triple E Awardee (Education Champion) (2023) Research Star Award, Faculty of Management (2021) Distinguished Professor Award, IEOM Society (2019) Program Chair, Canadian OR Society Conference (2018) INFORMS Best Paper Award (runner-up, 2013) An active educator, Dr. Ülkü teaches Supply Chain Planning (COMM 4520), Logistics Management (COMM 3507), and Operations Management (BUSI 5551), championing experiential learning through his research center. While specific grant details aren't documented, his award-winning publications indicate sustained funding for sustainability analytics projects. He leads the Centre for Research in Sustainable Supply Chain Analytics, fostering cross-disciplinary collaboration on climate-adaptive logistics systems and sustainable consumption models through industry partnerships and policy-focused research.

Michael FowlerView profile

Professor

• Electrochemical Power Sources
• Fuel Cell Reliability
• Battery Degradation Analysis
• +6 more

Michael Fowler is a Professor in the Department of Chemical Engineering at the University of Waterloo, cross-appointed to the Department of Mechanical and Mechatronics Engineering. His research focuses on electrochemical power systems, including battery degradation analysis, fuel cell reliability, and clean energy hubs. He leads projects like ChallengeX and EcoCar, developing fuel cell and hybrid vehicles. He teaches CHE 331 (Electrochemical Engineering) and actively supervises graduate students. His work integrates hydrogen economy concepts, renewable energy incentives, and Power-to-Gas energy storage. Key interests span polymer science, interfacial phenomena, and battery thermal management systems. Education: Ph.D. in Chemical and Materials Engineering (2003, Royal Military College of Canada), M.Sc. in Engineering Chemistry (1988, Queen's University), B.Sc. in Fuels and Materials Engineering (1986, Royal Military College of Canada). Research emphasizes modeling fuel cells, battery performance, and electrolyte materials. Recent articles explore lithium-ion battery diagnostics, aluminum-air batteries, and thermal runaway prevention. He collaborates with industries on sustainable energy solutions and advises student teams in green energy systems. His lab focuses on advanced materials for electrochemical systems and energy storage innovations. Current roles include co-faculty supervisor of vehicle design teams and director of the Waterloo Fuel Cell Research Network. He welcomes graduate applications and is involved in developing Canada’s hydrogen transition strategies. His work bridges academic research with practical applications in automotive, renewable energy, and material science sectors.