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Sushmit Dhar serves as an Associate Professor in the Department of Automation and Process Technology at UiT The Arctic University of Norway, focusing on control engineering and automation solutions for Arctic maritime challenges. His work bridges theoretical control methods with practical applications in extreme environments. His research spans: Classical and modern control methods (PID, LQR, MPC) State estimation and Kalman filtering Physics-Informed Neural Networks and Reinforcement Learning for decision support IoT-based automation for maritime operations Marine icing phenomena and sea spray measurement Recent publications demonstrate cutting-edge work in marine icing prediction using LiDAR and capacitive sensors, Arctic road safety systems, and optimization of maritime operations. His research integrates advanced sensing technologies with data-driven modeling to address safety challenges in cold climates, particularly through sea spray measurement innovations and route planning algorithms for fishing vessels and search-and-rescue operations. Dr. Dhar actively contributes to collaborative initiatives: Member of the Sustainable Technology and Safety (STS) research group Member of the IR, Spectroscopy, and Numerical Modelling Research Group Key participant in the SPRICE project (Multidisciplinary approach for spray icing modelling and decision support) His teaching portfolio includes foundational courses in Linear Systems (AUT-2604) and Control Engineering (AUT-2801) for Automation Engineering undergraduates, preparing students for technical challenges in Arctic engineering contexts.

• Control Engineering
• Automation
• Marine Icing
• +5 more

Dr. Jamshed Iqbal is a Senior Lecturer at the University of Hull , affiliated with the School of Digital and Physical Sciences and the Computer Science department . With over two decades of experience in academia and industry, he leads the BEng/MEng Robotics and AI program and contributes to pedagogical innovation via the CDIO framework.

• Robotics
• Mechatronics
• Control Systems
• +3 more

Francisco Álvarez Gonzalez is a Professor at the Department of Economic Analysis and Quantitative Economics, within the Faculty of Economics and Business Administration at Complutense University of Madrid. His research spans interdisciplinary fields, including microeconomics, dynamic optimization, auction theory, and machine learning applications in economics. He is affiliated with the Complutense Institute of Economic Analysis (ICAE) and Complutense Institute of International Studies (ICEI). Ph.D. in Economics, Complutense University of Madrid, 1997 B.S. in Economics, Complutense University of Madrid, 1991 His research interests focus on multi-unit auctions, dynamic optimization in economic models, machine learning integration for economic analysis, and environmental economics. He has also contributed to medical fields through collaborations on topics like critical care biomarkers and nosocomial infections. His funded projects include studies on public debt mechanisms, CO2 permits, and market institutions. Recent publications analyze renewable energy auction efficiency, firm bankruptcy prediction via XGBoost, and NO2 pollution modeling using Shapley values. He has supervised four Ph.D. students and served on editorial boards for Computational Economics and PLOS ONE. His programming expertise includes Python, R, and legacy languages like MATLAB. Key grants include Ministerio de Ciencia e Innovación's PID 2020-114309GB-100 project, ECO2017-86245-P, ECO2014-56676-C2-2-P, and SEJ2007-65722. He has held visiting positions at the Tinbergen Institute, Aix-Marseille II, University of Maryland, and CSIC's Institute for Public Policies and Goods.

• Microeconomics
• Dynamic Optimization
• Game Theory
• +7 more

Dr. Aarti Panday serves as a Lecturer at the University of the Witwatersrand's School of Mechanical, Industrial & Aeronautical Engineering, where she teaches Mechatronics and Postgraduate Flight Dynamics and Control. With over 18 years of integrated academic and industry experience since 2004, she bridges theoretical research with practical aerospace applications. Her academic credentials include: BSc (Aerospace Engineering) MSc (Engineering) PhD (University of the Witwatersrand) Graduate Diploma in Education (GDE) Dr. Panday's research spans multiple critical domains: Mechatronics, Robotics, and Advanced Control Systems Flight Dynamics and Aerial Refuelling for manned/unmanned aircraft Technology Management, Commercialisation, and Intellectual Property Aircraft Certification and Regulatory Compliance Analysis of her recent publications reveals consistent application of evolutionary algorithms and neural networks to solve control challenges in aerospace and building systems, particularly in aerial refuelling maneuvers and elevator dynamics for supertall structures. Her industry background—including work on the Rooivalk helicopter, A-Darter missile, and regulatory approvals for aircraft like the Airbus A320—provides exceptional context for students. Since 2013, she has expanded her impact through technology management, supporting innovators via due diligence, investment scoping, and strategic partnership development with government and industry entities.

• Mechatronics
• Control Systems
• Flight Dynamics
• +7 more

Dr. Juan Shi is an Associate Professor at Victoria University's College of Sport, Health & Engineering, where she has held academic positions since 1994, progressing from Lecturer to Senior Lecturer and ultimately Associate Professor in 2016. With a PhD in Electrical Engineering from VU (1995) and over 100 peer-reviewed publications, her research focuses on intelligent control systems, renewable energy integration, and power system stabilization. Research Interests: Dr. Shi's expertise spans intelligent control applications, power system stability enhancement, battery energy storage optimization for grid support, fuzzy logic controllers, and renewable energy microgrid design. Her recent work emphasizes practical solutions for integrating solar/wind energy with battery storage systems. Teaching & Awards: She coordinates multiple engineering courses including Control Systems and Fuzzy Logic applications. Her teaching excellence has been recognized with the Vice-Chancellor's Award (2014) and a national teaching citation from the Australian Government (2015). Awards: Vice-Chancellor's Excellence in Learning and Teaching Award (2014) National Citation for Outstanding Contribution to Student Learning (2015) Student Supervision: Has graduated 2 PhD and 2 Master's students, currently advising 4 PhD candidates on renewable energy and control systems projects. As WISE coordinator, she actively supports female engineering students through mentorship programs.

• Intelligent Control
• Power System Stabilisation
• Renewable Energy Systems
• +2 more

Associate Professor Hudyjaya Siswoyo Jo is a faculty member at the Faculty of Engineering, Computing and Science at Swinburne University of Technology Sarawak Campus. He holds a BEng (Hons) and PhD from Swinburne University of Technology and is a Chartered Engineer (Engineering Council UK) with professional memberships in the Institution of Mechanical Engineers and the Institute of Electrical and Electronic Engineers. His research expertise spans multiple domains of robotics and automation, with particular focus on: Mechatronics System Design Industrial & Building Automation Industrial Internet of Things Human Machine Interaction Agriculture Mechanisation Professor Siswoyo Jo has successfully completed numerous manufacturing and automation projects focusing on Industry 4.0 implementation for Small-Medium Enterprises in Sarawak. He has served as a technical consultant for significant projects including the Borneo Cultures Museum, the second largest museum in Southeast Asia. His research has resulted in multiple patents, including "Vehicle for Collecting and Transporting System and Method Thereof" (Australia, 2020) and "Autonomous Harvester" (Malaysia, 2021). His scientific achievements include: Gold Award and IET Best Automation and Control Concept Special Award (2020) Swinburne Vice-Chancellor Community Engagement Award (2019) Swinburne Vice-Chancellor Industry Engagement Award (2018) Best Paper Award at the International Conference on Robotics and Mechanical Engineering (2016) Professor Siswoyo Jo has secured multiple research grants including SDEC TRG Grants as both Principle Investigator and Co-Investigator for projects related to UAV-based parking enforcement, AGV-based IoT solutions, and smart waste collection systems. He actively supervises postgraduate students and welcomes research higher degree candidates in his areas of expertise. His laboratory work focuses on practical applications of robotics and automation technologies in industrial and community settings, with strong industry partnerships that provide students with real-world project experience.

• Robotics
• Mechatronics
• Industrial Automation
• +5 more

Lee Keel is a Professor in the Department of Electrical and Computer Engineering at Tennessee State University's College of Engineering, where he has been faculty since 1986. He also serves as an Adjunct Professor in Vanderbilt University's Mechanical Engineering Department since 1991 and previously directed Tennessee State's Center for Systems Science Research from 1997-2007. Dr. Keel earned his Ph.D. in Electrical Engineering from Texas A&M University in 1986, following an M.S. from the same institution in 1982 and a B.S. in Electronics Engineering from Korea University in 1978. His academic journey began with engineering experience at LG Telecommunications R&D in Korea before transitioning to academia. His research expertise spans Linear Systems Theory, Robust Control, and Networked Control Systems, with recent focus on developing data-based control design techniques that eliminate reliance on analytical models. His work has been continuously funded by NSF, NASA centers (Ames, Langley, Goddard, Marshall), DoD, and industry partners including Boeing, with over $20 million in research grants throughout his career. Analysis of his publication record shows consistent contributions to robust control theory, particularly in interval systems stability, parametric robustness, and measurement-based controller design. His recent work increasingly addresses cyber-physical security applications for power grids and multi-agent systems. Full Academic Scholarship, Gold-Star Yonam Foundation (1971-1972, 1976-78) Eta Kappa Nu Phi Kappa Phi Distinguished Researcher Award, Tennessee State University (1996) Professor Keel has supervised numerous graduate students through thesis research and has served in leadership roles for major conferences including as Publication Chair for multiple American Control Conferences. His research group maintains strong connections with NASA laboratories and defense contractors, providing students with opportunities to work on problems with real-world impact in aerospace and critical infrastructure domains.

• Linear Systems Theory
• Robust Control
• Networked Control Systems
• +4 more

Burak Yildirim serves as Associate Professor in the Department of Electronics and Automation at Bingöl University's Technical Sciences Vocational School since 2022, following 11 years as Teaching Staff. His academic foundation includes BSc, MSc, and PhD degrees in Electrical-Electronics Engineering from Fırat University. BSc: Electrical-Electronics Engineering, Fırat University (2002-2006) MSc: Electrical-Electronics Engineering, Tunceli University (2010-2013) PhD: Electrical-Electronics Engineering, Fırat University (2013-2017) His research bridges theoretical control systems and practical energy applications, focusing on microgrid stability , AI-enhanced frequency regulation , and renewable integration . Recent work explores cybersecurity for energy systems and digital twin applications, with 15+ publications in SCI journals since 2020 including International Journal of Hydrogen Energy and IEEE Transactions. Dr. Yildirim's publication trends show increasing sophistication in control methodologies, evolving from traditional PID controllers (2018-2020) to neuromorphic deep learning and multi-agent systems (2022-2024). His work consistently addresses low-inertia grid challenges, with 70% of recent publications incorporating AI techniques for stability enhancement. He actively secures research funding through international collaborations and TUBITAK grants, currently leading projects on digital twins for microgrid controllers and HiL technology for next-generation power electronics. His industry background in high-voltage systems informs his applied research approach. Teaching responsibilities span core electronics and power systems courses, with recent emphasis on RF techniques and digital design applications. His industry experience (2007-2011) in transmission infrastructure provides practical context for academic instruction.

• Power Systems
• Renewable Energy Integration
• Microgrid Control
• +5 more

Dr. Dursun Öztürk is an Associate Professor at Bingol University's Faculty of Engineering and Architecture, where he leads the Renewable Energy Systems Department. He obtained his PhD in Electrical-Electronics Engineering from Firat University (2012) and has been an associate professor since 2025. His research bridges renewable energy systems, control theory, and high-voltage engineering. Research Focus: Dr. Öztürk's work centers on optimizing hybrid renewable systems, with special expertise in: Intelligent control systems (fuzzy logic, PID optimization) Hydrogen energy storage and fuel cell technology Microgrid design for rural electrification High-voltage insulator performance Solar/wind energy integration His publications demonstrate consistent innovation in renewable energy applications. Supervision & Projects: Actively advises graduate students on renewable energy projects. Leads significant research initiatives including: TÜBİTAK project on high-voltage insulators (2017-2019) BÜBAP project on photocatalytic solar panels (2021-2022) FKA-funded renewable energy infrastructure development Administrative Roles: Former Dean's Assistant (2014-2022), current Head of Renewable Energy Systems Department since 2019, and active Senate member.

• Renewable Energy Systems
• Hybrid Power Systems
• Control Systems
• +5 more

Ozan Gül is a Lecturer at Bingol University's Faculty of Engineering and Architecture. His educational background includes: Bachelor's Degree: Gaziantep University (2010) Master's Degree: İnönü University (2013) PhD: İnönü University (2020) His research explores electrical power systems with emphasis on: Renewable energy integration (photovoltaic/wind systems) Voltage control and stability optimization Power electronics and inverter technologies Smart grid applications and DC distribution He employs control theories like fractional-order controllers and ITAE-optimized PID systems to enhance grid resilience and energy efficiency. Publication analysis reveals consistent focus on renewable energy control systems, with recent work advancing voltage regulation in hybrid energy environments and harmonic mitigation in power converters. His methodological approaches include Monte Carlo simulations and experimental validations. No scientific awards or laboratory affiliations are documented. No information is available regarding research grants or student supervision.

• Electrical Power Systems
• Renewable Energy
• Power Electronics
• +2 more