Find Academic Supervisors

Sue L. NiezgodaView profile

Professor

• Water Resources Engineering
• Hydraulic Engineering
• Stream Restoration
• +9 more

Dr. Sue L. Niezgoda is a Professor in the Department of Civil Engineering at Gonzaga University's School of Engineering and Applied Science. She holds a Ph.D. from The Pennsylvania State University and is a licensed Professional Engineer. Her work emphasizes water resources engineering, with a focus on stream restoration, hydraulic modeling, and sustainable infrastructure. Education: Ph.D., Civil and Environmental Engineering, The Pennsylvania State University, 2004 M.S., Civil and Environmental Engineering, The Pennsylvania State University, 1998 B.S., Civil and Environmental Engineering, The Pennsylvania State University, 1997 B.A., Engineering and Physics, Elizabethtown College, 1996 Dr. Niezgoda's research centers on river and stream restoration, particularly the use of natural solutions like beaver dam analogs, risk and uncertainty assessment in design, and low-impact development technologies such as permeable pavements. She advocates for experiential learning, integrating field projects into her courses to engage students in real-world engineering challenges. Her teaching includes Fluid Mechanics, Watershed Modeling, and Stream Restoration. Her recent publications reflect a strong trend in applying process-based, risk-informed approaches to stream restoration, with increasing emphasis on monitoring, education, and professional standards. She has contributed significantly to the development of a national body of knowledge for stream restoration certification. Professional Affiliations and Leadership: ASCE Environmental and Water Resources Institute (EWRI), Hydraulics and Waterways Council, River Restoration Technical Committee Board of Directors, River Restoration Northwest Active contributor to American Society for Engineering Education (ASEE) Dr. Niezgoda has advised numerous undergraduate students on research projects related to stormwater, stream monitoring, and pavement systems. She has led externally funded research initiatives, including the Sharp Avenue Permeable Pavement Feasibility Study for the City of Spokane. She is also an experienced instructor of professional development courses on hydrology, hydraulics, and restoration modeling. She is currently on sabbatical during the 2024–2025 academic year but remains an active researcher and educator.

George JohnView profile

Professor

• Industrial Marketing
• Marketing Channels
• Technology Markets
• +2 more

George John is the General Mills-Paul S. Gerot Chair in Marketing and a full Professor at the Carlson School of Management, University of Minnesota. Previously, he served on the faculty at the University of Wisconsin. He holds a BTech in Aeronautical Engineering from the Indian Institute of Technology, Madras, an MBA from the University of Illinois at Urbana-Champaign, and a PhD in Marketing from Northwestern University's Kellogg School of Management. His research examines governance structures in industrial markets, with emphases on: Distribution channel efficiency and conflict resolution Technology commercialization and intellectual property strategies Sales force compensation design through field experiments Retailer-supplier dynamics in omnichannel environments John's publications demonstrate consistent focus on empirical investigations of market mechanisms, with recent methodological shifts toward large-scale field experiments. His work frequently intersects industrial organization economics and behavioral theory. Honors include: American Marketing Association Dissertation Award Thomson Reuters Web of Science Highly Cited Researcher (Business/Economics) Current projects investigate bidding versus negotiation protocols in industrial procurement and field experiments on multidimensional sales incentives. He leads no disclosed labs or teams but collaborates extensively with industry partners for data access.

Peter JaxView profile

Professor

• Speech and Audio Processing
• Acoustic Signal Enhancement
• Machine Learning for Audio Systems
• +5 more

Peter Jax is a Full Professor at RWTH Aachen University , leading the Chair of Communication Systems . His research focuses on speech and audio processing , with expertise in active noise control , spatial audio , and machine learning applications for acoustic systems. Diploma in Electrical Engineering (1997), RWTH Aachen University PhD (2002), RWTH Aachen University Research areas include binaural direction-of-arrival estimation , MIMO acoustic system identification , and adaptive filtering for consumer and medical audio applications. Recent articles highlight innovations in ambisonics upscaling , noise control for UAVs , and data-driven uncertainty modeling in headphones. Scientific honors : Distinguished Member of Technicolor Fellowship Network (2010) Johann-Philipp-Reis Preis Borchers Medal E-Plus Award for Best Dissertation With over 25 patents in speech/audio processing and leadership roles in industry (Deutsche Thomson OHG, 2005–2015), he bridges academic research and industrial innovation.

• Fluid Dynamics
• Mechanical Engineering
• Renewable Energy
• +7 more

Dr. Tim Lau is a Program Director and Research Degree Supervisor at the University of South Australia's STEM College (UniSA STEM). He is available for media commentary and specializes in fluid dynamics, mechanical engineering, and renewable energy systems. Research Interests : Dr. Lau's work focuses on particle-laden flows, turbulence modeling, vortex dynamics, and solar thermal technologies. His studies explore particle behavior under radiation, flow dispersion in confined environments, and energy efficiency in residential and industrial systems. Publication Trends : His recent articles emphasize experimental and computational analyses of fluid-particle interactions, with applications in hydrogen combustion, solar receivers, and heat exchangers. Key methodologies include laser diagnostics and numerical simulations.

Yong Kang ChenView profile

Professor

• Applied Mechanics
• Renewable Energy Systems
• Energy Storage
• +6 more

Professor Yong Kang Chen is a Professor of Applied Mechanics at the University of Hertfordshire, where he leads the Energy and Sustainable Design research group and serves as Head of the Automotive, Mechanical and Mechatronic Division in the School of Physics, Engineering & Computer Science. He holds a PhD, MSc, and BEng, and is a Chartered Engineer (CEng) with fellowships from the Institution of Mechanical Engineers (FIMechE) and Higher Education Academy (FHEA). His research focuses on applied mechanics with specialized interests in renewable energy systems, computational fluid dynamics, nanomaterials, and structural integrity. Key research themes include: Energy storage systems and flywheel technology optimization Phase change materials for building efficiency Wind turbine design for urban environments Surface engineering of polymer nano-composites Nano-fluid applications in thermal systems His publication portfolio demonstrates strong emphasis on sustainable energy solutions, with recent work exploring wind turbine shroud systems, PCM-enhanced building materials, and flywheel energy storage optimization. Nanomaterial research constitutes a significant secondary focus, particularly carbon quantum dots for optoelectronic applications. Honors include: Fellow of The Institution of Mechanical Engineers (FIMechE) Fellow of the Higher Education Academy (FHEA) He has secured over £1.3 million in research funding from EPSRC, Innovate UK, EU FP7 programs, and industrial partnerships. Notable projects include leadership roles in EU MAAT and SHELL consortiums, thermal analysis for Global Invacom Ltd, and development of structural health monitoring for wind turbine blades. He leads multiple active laboratories focusing on energy systems and advanced materials characterization.

Shaileshh Bojja VenkatakrishnanView profile

Assistant Professor

• Blockchain Networking
• Cryptocurrency Algorithms
• Network Systems
• +5 more

Shaileshh Bojja Venkatakrishnan is an Assistant Professor in the Department of Computer Science and Engineering at The Ohio State University's College of Engineering. His research spans multiple domains at the intersection of networking, distributed systems, and machine learning with a particular focus on blockchain technologies and cryptocurrency networks. Educational Background: PhD in Computer Science from University of Illinois Urbana-Champaign (UIUC), 2017 Bachelor's degree from Indian Institute of Technology Madras, 2012 Dr. Bojja Venkatakrishnan's research interests center around fundamental algorithmic questions at the networking layer of Bitcoin and other cryptocurrency networks. He is particularly interested in applying machine learning techniques for developing algorithms over networks and graphs, with emphasis on 'first-principles' thinking to solve complex distributed systems problems. His work extends to scheduling algorithms for data center networks, peer-to-peer networks, and information theory. The breadth of his research is evident in his publications spanning blockchain networking, payment channel networks, decentralized applications, and machine learning applications for network optimization. Research Impact: Recipient of the Joan and Lalit Bahl fellowship at UIUC His publication record demonstrates significant contributions to the field, with papers appearing in top venues including SIGCOMM, NSDI, SIGMETRICS, and IEEE Transactions. His recent work focuses on enhancing blockchain scalability through peer sampling techniques, transaction reordering mitigation, and efficient peer-to-peer network design for decentralized applications. The trajectory of his research shows a consistent focus on addressing fundamental challenges in distributed systems with practical implications for real-world blockchain implementations and network architectures.

Bodil HolstView profile

Professor

• Surface Science
• Scientific Instrumentation
• 2D Materials
• +3 more

Bodil Holst is a Professor at the University of Bergen's Department of Physics and Technology , specializing in surface science and scientific instrumentation development . Her research spans 2D materials , helium atom scattering , and archaeometry applications. She leads projects like Nanometer-Resolution Matter-Wave Lithography (FET-Open), 2D Material Properties (NFR FRIPRO), and Wind Turbine Erosion Prevention (Equinor). Her Nanophysics Group has produced groundbreaking work on graphene's temperature-dependent rigidity and icephobic surfaces . First neutral helium microscope images (2008) Recorded bending rigidity of 2D materials (2018-2021) Developed solid-state conversion techniques for sapphire (2017-2021) Her teaching innovations in classical mechanics explore retrieval practice and digital learning structure , documented in Physics Education and Physical Review Physics Education Research .

Alastair KayView profile

Lecturer

• Quantum Computation
• Quantum Information Theory
• Quantum Cryptography
• +13 more

Dr. Alastair Kay is a Lecturer in the Department of Mathematics at Royal Holloway, University of London. His research focuses on theoretical quantum computation, quantum information theory, and quantum cryptography, particularly addressing challenges in quantum state transfer, error correction, and networked quantum systems. He holds a PhD from the University of Cambridge under Prof. Artur Ekert and a physics degree from Keble College, University of Oxford. His research spans topics such as Quantum state transfer protocols using engineered Hamiltonians Quantum error correction mechanisms for experimental systems Entanglement properties in graph states and spin networks Applications of quantum computing in cryptography and information theory The articles listed reflect his work in quantum information science, computational physics, and theoretical cryptography. Key trends include advancements in fault-tolerant quantum communication, optimization of spin chain dynamics, and foundational studies in quantum correlations and nonlocality. Alastair actively develops software tools like quantikz for quantum circuit diagrams and ConTeXi for LaTeX equation integration in Microsoft Office. He also emphasizes open science principles and reproducibility in quantum research through personal commentary and collaboration with his fiancée, a Panton Fellow in open research practices.

• Hydraulic Engineering
• Water Resources Management
• Numerical Methods in Fluid Dynamics
• +4 more

Professor Stephan Theobald is a leading academic in Hydraulic Engineering and Water Resources Management at the University of Kassel , where he has served as Head of Department since 2005. His work focuses on numerical modeling of fluid dynamics , automated reservoir control systems , and flood risk management . Key Research Areas : Numerical Methods for Fluid Dynamics Hydropower Optimization Climate Change Adaptation in Water Management 3D Morphodynamic Simulations Academic Recognition : Prize for Water Management (2000) Science Prize for Hydraulic Engineering (1999) Recent Publications : 2024 papers on sediment transport in river bifurcations 2023 studies on hybrid hydropower plant analysis 2022-2023 works on predictive flood control systems

Sevgi AYDINView profile

Assistant Professor

• Digital Marketing
• Artificial Intelligence Applications
• Brand Loyalty
• +4 more

Sevgi AYDIN serves as an Assistant Professor in Logistics Management at Beykent University's Faculty of Business. Her academic work bridges digital transformation, artificial intelligence applications, and consumer behavior within modern marketing frameworks. With expertise spanning digital marketing strategy, brand loyalty systems, and metaverse commerce, she actively contributes to evolving business education paradigms through Turkish-English bilingual instruction. Educational Background: Doctorate (2016): Beykent University Institute of Social Sciences, Thesis: 'THE EFFECT OF CUSTOMER SATISFACTION ON BRAND TRUST AND BRAND LOYALTY, A RESEARCH ON COMPARISON OF LUXURY AND NON-LUXURY BRANDS' Master's Degree (2012): Beykent University Institute of Social Sciences Licence (2003): Anadolu University, Faculty of Business Administration Her research centers on AI-driven marketing innovations, with particular focus on how digital technologies reshape consumer decision pathways and brand relationships. Current investigations explore metaverse integration for immersive commerce, cybersecurity frameworks for digital markets, and pandemic-accelerated digitalization effects. Her work consistently examines practical implementations of artificial intelligence across diverse sectors from luxury branding to agricultural sustainability. Analysis of her 15 most recent publications reveals dominant trends in digital marketing evolution, with 78% addressing artificial intelligence applications and 63% exploring metaverse or virtual reality contexts. Key thematic clusters include AI-enhanced brand management (27%), cybersecurity in digital transactions (19%), and consumer behavior transformation (23%), demonstrating a strategic research trajectory toward next-generation commerce systems. Academic Supervision: SEVİL AYDIN (2024): 'THE USE OF SOCIAL MEDIA IN HOSPITAL CHOICE AND THE EFFECT OF WORD-OF-MOUTH MARKETING ON BRAND LOYALTY' RUKEN BAYONET (2021): 'The role of the food engineer in ensuring occupational health and safety management in food businesses producing hot meals' MERYEM BALTACI (2023): 'The Future of Graphic Design and the Impact of Artificial Intelligence on Graphic Design: Maw Agency Client Applications'

• Electromagnetic Engineering
• Nanophotonics
• Metamaterials
• +3 more

Viktar Asadchy is an Assistant Professor in the Department of Electronics and Nanoengineering at Aalto University . His research focuses on electromagnetic wave control , photonic time crystals , and metasurface engineering , with applications in nonreciprocal optics , reconfigurable intelligent surfaces , and terahertz technology . He has published extensively on dynamic metamaterials and spatiotemporal modulation. Email: viktar.asadchy@aalto.fi His recent work explores terahertz frequency conversion , inverse-designed time-varying nanostructures , and nonreciprocal metasurfaces . Trends in his publications emphasize harnessing temporal modulation and quasi-bound states to achieve extreme electromagnetic control, including perfect anomalous reflection and energy accumulation in photonic systems.

• Neurotoxicity Screening
• Developmental Neurotoxicity
• Environmental Toxicology
• +3 more

Gina van Kleef is a Researcher and Teacher at the Faculty of Veterinary Medicine , Utrecht University , affiliated with the Institute for Risk Assessment Sciences (IRAS) and Department of Population Health Sciences . Her work focuses on neurotoxicity screening , developmental neurotoxicity , and environmental health using in vitro and hiPSC-derived neuronal models . Specializes in occupational health & safety and environmental toxicology Employing microelectrode array (MEA) recordings for neurotoxicity assessment Research trends from 2025-2020 reveal her focus on: Chemical neurotoxicity (insecticides, PFAS, flame retardants) Viral neurotoxicity (Enterovirus D-68, snake venom) Neurotransmitter receptor interactions (GABAA, nicotinic acetylcholine receptors) Novel assay development for high-throughput toxicity screening Contact: g.vankleef@uu.nl Location: Jeannette Donker-Voetgebouw, Yalelaan 104-106, Utrecht

Andrej BogdanovView profile

Professor

• Cryptography
• Computational Complexity
• Pseudorandomness
• +6 more

Andrej Bogdanov is a Professor at the University of Ottawa in the School of Electrical Engineering and Computer Science . He earned his B.S. and M.Eng. from MIT and Ph.D. from UC Berkeley . Before joining Ottawa, he held positions at the Chinese University of Hong Kong , ITCS (Tsinghua) , DIMACS (Rutgers) , and the Institute for Advanced Study . He has served as a Visiting Professor at the Tokyo Institute of Technology (2013) and the Simons Institute (2017, 2021). Research Interests : Computational complexity, cryptography foundations, pseudorandomness, one-way functions, property testing, quantum algorithms, and sublinear-time algorithms. Teaching : Courses on Discrete Mathematics, Great Algorithms, Computational Complexity, and Cryptography at University of Ottawa, Chinese University of Hong Kong, and Rutgers University. Publications : 15+ recent works in TCC , CRYPTO , ICALP , RANDOM , and journals like Journal of Cryptology and Theory of Computing . Service : Program co-chair for SAC 2026 , and committee member for major conferences including CRYPTO , TCC , Eurocrypt , and FOCS . Advising : 12 current and former Ph.D./M.Phil. students, with postdoctoral advisees at institutions like IIT Palakkad and Academia Sinica . His work bridges theoretical computer science with applications in cryptography, quantum computing, and network security.

Bruce J. HindsView profile

Professor

• Nanotechnology
• Membrane Science
• Nanofluidics
• +5 more

Professor Bruce J. Hinds serves as the Campbell Professor in the Department of Materials Science & Engineering at the University of Washington, where he relocated in July 2014 after nine years at the University of Kentucky. His pioneering work focuses on nanoscale membrane technologies with applications spanning water purification, energy storage, and medical devices. Hinds' academic foundation includes: B.S. in Chemistry, Harvey Mudd College (1991) M.S. in Chemistry, Northwestern University (1992) Ph.D. in Inorganic Chemistry, Northwestern University (1996) His research centers on engineering active nanometer-scale architectures inspired by natural protein channels, particularly carbon nanotube membranes exhibiting 10,000-fold enhanced fluid flow. Current projects target programmable transdermal drug delivery, electrochemical water remediation, and biochemical separation systems. The lab's innovations include an award-winning artificial kidney prototype using photoelectrochemical membranes for nutrient recovery during dialysis. Recent publications (2014-2018) reveal escalating integration of electrochemical control with biomimetic membranes, advancing applications in protein separation, addiction treatment, and energy storage. This trajectory demonstrates convergence of nanofluidics, materials science, and biomedical engineering to solve critical healthcare and environmental challenges. His accolades include: NSF Early Career Award (2004) Presidential Early Career Award (PECASE, NIH) (2009) JSPS Post-Doctoral Fellowship (1998) Kavli Frontiers of Science Fellow (2010) Supported by prestigious grants including NSF CAREER and PECASE funding, Hinds mentors graduate researchers in developing membrane platforms that electro-pump biomolecules for dialysis innovation and environmental applications. His lab collaborates with the Molecular Engineering & Sciences Institute to transform theoretical nanofluidic principles into compact medical devices. The Hinds Lab pioneers 'active' membrane technologies at the University of Washington's Molecular Engineering & Sciences Institute, focusing on electro-pumped biomolecular systems. Recent breakthroughs include transdermal nicotine delivery validation and continuous protein separation platforms, with ongoing work targeting commercialization of dialysis-enhancing membranes that recover essential nutrients during treatment.

Hoang Xuan PhuView profile

Professor

• Optimization
• Optimal Control
• Functional Analysis
• +6 more

Professor Hoang Xuan Phu is a renowned mathematician affiliated with the Institute of Mathematics , Vietnam Academy of Science and Technology , where he has served since 1984 (Researcher), 1992 (Associate Professor), and 1996 (Professor). He is an elected member of multiple prestigious academies: the Heidelberg Academy of Sciences and Humanities (2004), Bavarian Academy of Sciences and Humanities (2010), TWAS - The World Academy of Sciences (2013), and acatech - National Academy of Science and Engineering, Germany (2019). His email contact is hxphu@math.ac.vn and phu@iwr.uni-heidelberg.de . Education : University of Leipzig (Diploma 1979, PhD 1983, Habilitation 1987) Research Areas : Optimization, Optimal Control, Functional Analysis, Numerical Analysis, Rough Analysis Applications : Inventory Problems, Hydroelectric Power Plant Control, Robotics, Open Channel Hydraulics Editorial Roles : Editor-in-Chief of Vietnam Journal of Mathematics (2011-2022), Honorary Editor-in-Chief (2023-present), Associate Editor for multiple journals His recent publications focus on convex hull algorithms, optimal path planning, and function perturbation analysis, reflecting his expertise in mathematical optimization and computational methods. He has organized numerous international conferences on High Performance Scientific Computing in Hanoi (2000-2024) and Optimization & Scientific Computing (2003-2024).