جستجوی استاد راهنمای دانشگاهی

• Operations Research
• Management Science
• Optimization Algorithms
• +۶ مورد دیگر

Dr. Dmytro Matsypura is an Associate Professor in the Discipline of Business Analytics at the University of Sydney Business School. He holds a BA (Hons) from Kyiv Polytechnic Institute (KPI), an MS (Hons) from KPI, and a PhD from the University of Massachusetts Amherst. His research focuses on optimization methodologies, network science, and their applications in finance, transportation, ecology, and graph theory. He is a recipient of multiple teaching awards, including the Wayne Lonergan Outstanding Teaching Award (Early Career) in 2010. Education: PhD in Management Science, University of Massachusetts Amherst (2006) MS (Hons) in Information Systems, Kyiv Polytechnic Institute (2000) BA (Hons) in Business Administration, Kyiv Polytechnic Institute (1998) Research Interests: Dr. Matsypura’s work spans operations research and management science, with a focus on mathematical optimization and network science. His methodological contributions include developing efficient optimization algorithms, while his applied research addresses real-world challenges in finance, engineering, and ecology. Notable applications include wildfire fuel management, portfolio margining, and credit card fraud detection via graph-based models. Awards and Recognition: Teaching Excellence Award (2008, 2013, 2018) Wayne Lonergan Outstanding Teaching Award (Early Career) (2010) Grants and Projects: Current projects include Bushfire Analytics: Optimization of Fuel Reduction (2023, ARC Discovery Project). His research frequently integrates interdisciplinary collaborations, such as applying graph theory to biomedical problems and cybersecurity. Labs/Teams: Active in the Sydney Environment Institute, contributing to projects at the intersection of analytics and sustainability. Collaborates with industry on fraud detection and supply chain optimization.

Vallipuram Muthukkumarasamyمشاهده پروفایل

دانشیار

• Cyber Security
• Blockchain Technology
• Wireless Sensor Networks
• +۷ مورد دیگر

Professor Vallipuram Muthukkumarasamy is an Associate Professor at the School of Information and Communication Technology at Griffith University, where he has pioneered Network Security teaching and research since joining in 2001. He leads the Networking & Security and Blockchain Research Group at the Institute for Integrated and Intelligent Systems. Muthu holds a Ph.D. from Cambridge University and a B.Sc. Eng. with 1st Class Honors from the University of Peradeniya, Sri Lanka. His extensive academic appointments include Group Leader of Network Security and Blockchain Research (2008-present), Program Director for the Graduate Certificate in Blockchain Technology (2022-present), HDR Convenor (2022-present), Member of the University Council (2020-2021), and Deputy Head of School for Learning and Teaching (2013-2016). Muthu's research expertise spans Cyber Security, Blockchain Technology (DLT), and Wireless Sensor Networking. He has secured national and international funding for interdisciplinary research, published over 150 articles in international journals and conferences, and supervised more than 30 research Masters and PhD students to completion. He pioneered the Network Security teaching at Griffith and successfully proposed and led the development of Queensland's first Master of Cyber Security Program, creating a truly interdisciplinary curriculum with Law, Business, and Criminology Schools. His recent publications reveal a strong research trajectory in blockchain applications, security visualization techniques, and wireless sensor networks. His work explores DeFi user behavior analysis, NFT privacy risks in the metaverse, blockchain transaction visualization, and the integration of blockchain with AI for credit scoring systems. His wireless sensor network research focuses on energy-efficient routing protocols and network lifetime modeling. Muthu has received multiple best teacher awards from students and peers, and during his tenure as Deputy Head of School, the Griffith IT program was ranked #1 in Australia for overall student satisfaction. He successfully proposed and developed Cisco-related courses at undergraduate and postgraduate levels and instrumental in creating industry-sought-after networking and security courses across all academic levels. His funded research includes significant projects such as Increasing the South East Queensland Cyber Security Workforce, Linking Digital Payments to Crime Using Big Data Machine Learning Tools, Improving Water Markets through Digital Technologies, and developing Indo-Australian partnerships for digital transformation through blockchain. He is actively involved in community and charity activities and has been instrumental in internationalization efforts for Griffith University.

Kshirasagar Naikمشاهده پروفایل

استاد

• Mobile and Ad Hoc Networks
• Low Power Software
• Optical Networks
• +۱۵ مورد دیگر

Kshirasagar Naik is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, Ontario. He is actively involved in graduate research supervision and has been a member of IEEE since 1994. His academic career spans decades, with a focus on wireless communication, energy efficiency, and cybersecurity. 1992, Doctorate in Computer Engineering from Concordia University, Ontario 1988, Master of Mathematics in Computer Science from University of Waterloo, Ontario 1983, MTech in Computer Engineering from Indian Institute of Technology, Kharagpur, India 1981, BScEng in Electronics and Telecommunication from Sambalpur University, India His research interests include Mobile and Ad Hoc Networks , Cybersecurity , Internet of Things (IoT) , and Intelligent Transportation Systems . He has published extensively on energy optimization in wireless devices, delay-tolerant networks, and security protocols for vehicular systems. Recent publications highlight the integration of Machine Learning and IoT in environmental monitoring, particularly forest fire detection and prediction. Other works focus on cybersecurity , vehicular networks , and energy optimization in data centers and handheld devices. Professor Naik is currently accepting graduate students for research in mobile systems, network protocols, and green computing at the University of Waterloo.

Sergey Norinمشاهده پروفایل

دانشیار

• Graph Theory
• Combinatorics
• Discrete Mathematics
• +۴ مورد دیگر

Sergey Norin is an Associate Professor in the Department of Mathematics and Statistics at McGill University, specializing in Graph Theory and Combinatorics. His research focuses on structural graph theory, extremal problems, and combinatorial optimization, with a particular emphasis on graph minors, Ramsey numbers, and graph coloring. He contributes to theoretical advancements in discrete mathematics and their algorithmic applications. Recent work includes studies on sparse graphs, graph minors, and properties of hereditary families. His articles address topics like twin-width in random graphs, defective coloring, and asymptotic dimensions. Norin holds no listed awards but is active in publishing cutting-edge research in top-tier journals. No specific advising or grants are detailed in the provided information. His academic profile reflects a strong commitment to advancing combinatorial theory through rigorous mathematical analysis.

Debajyoti Mondalمشاهده پروفایل

دانشیار

• Information visualization
• Graph drawing
• Computational geometry
• +۶ مورد دیگر

Dr. Debajyoti Mondal is an Associate Professor in the Department of Computer Science at the University of Saskatchewan. His research focuses on algorithms, network visualization, computational geometry, and visual analytics. He holds a PhD from the University of Manitoba and has held postdoctoral positions at the University of Waterloo and Microsoft Research. Mondal's work spans interdisciplinary applications, including collaborations with Saskatoon Transit and academic medicine. He has authored over 100 peer-reviewed publications and secured grants such as NSERC Discovery, CFI, and Canada First Research Excellence grants. His awards include the 2023 New Scholar RSAW Award. Education: Ph.D. in Computer Science, University of Manitoba, 2016 MSc in Computer Science, University of Manitoba, 2012 BSc. Engg. in Computer Science, Bangladesh University of Engineering and Technology, 2009 Research Interests : Algorithms, graph drawing, computational geometry, visual analytics, and interdisciplinary applications in software engineering, transportation, and bioinformatics. His lab (VGA Lab) develops visualization systems for big data analysis. Key Contributions : Advanced theoretical foundations in computational geometry and graph drawing, developed practical visualization tools, and contributed to climate-related projects like Global Water Futures. Grants & Awards : NSERC Discovery Grant (2018-2024) CFI Grant (2021-2025) Microsoft Research Internship (2015-2016) New Scholar RSAW Award (2023) Labs/Teams : Leads the VGA Lab, collaborating with interdisciplinary teams on projects like Clone-World (software clone visualization) and SET-STAT-MAP (mixed data visualization).

Shahin Kamaliمشاهده پروفایل

دانشیار

• Algorithms Design
• Algorithms Analysis
• Online Algorithms
• +۹ مورد دیگر

Shahin Kamali is an Associate Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering. Previously, he served as an Assistant Professor at York University (2022-2024) and the University of Manitoba (2017-2022), where he continues to hold an Adjunct Professor position. He completed his Ph.D. in Computer Science at the University of Waterloo in 2014 and was a postdoctoral fellow at MIT's CSAIL lab from 2015-2017. Dr. Kamali received his B.Sc. from the University of Tehran and his M.Sc. from Concordia University, both in Computer Science. He has earned teaching certifications including the Kaufman Teaching Certificate Program from MIT and the Certificate in University Teaching from the University of Waterloo. His research focuses on algorithms' design, analysis, and limitations, with particular emphasis on online problems such as bin packing, paging, list update, and k-Server. His work extends to big-data applications of algorithms in data compression, graph partitioning, resource allocation in the cloud, and algorithmic aspects of blockchain technology. His recent publications (2023-2025) demonstrate a strong focus on learning-augmented algorithms, online computation with predictions, and novel applications in blockchain and graph theory. His research has been supported by multiple NSERC grants since 2010, with recent projects investigating models, applications, and limitations of online algorithms. He has successfully supervised numerous graduate students and serves on various committees related to algorithms conferences and academic governance. University of Waterloo Doctoral Thesis Completion Award (2014) University of Waterloo Mathematics Graduate Experience Award (2008) Dr. Kamali teaches advanced courses in algorithms and data structures and is scheduled to teach Design and Analysis of Algorithms (EECS 3101) in Fall 2025 and Advanced Data Structures (EECS 4101/5101) in Winter 2026. He is actively involved in organizing major conferences, including CCCG and WADS 2025 at York University.

• Mathematical Modeling
• Simulation of Machinery Systems
• Fluid Dynamics
• +۶ مورد دیگر

Eilif Pedersen is a Professor and Program Leader for Marine Technology at the Norwegian University of Science and Technology (NTNU). He leads the Department of Marine Technology under the Faculty of Engineering. His research focuses on mathematical modeling, simulation of machinery systems, and energy-efficient solutions in marine and offshore contexts. He is actively involved in projects such as SEACo, SFI Smart Maritime, and ViProMa, emphasizing virtual prototyping and hybrid power systems. Key research areas include bond graph methodology, thermodynamic system modeling, and dynamic analysis of marine systems. Pedersen supervises numerous PhD and industrial projects, including studies on hybrid propulsion, wind turbine dynamics, and fuel cell integration. He has contributed to over 50 publications, with recent work addressing co-simulation techniques, energy conservation in marine systems, and emission reduction strategies. His expertise spans marine engines, fluid dynamics, and renewable energy applications. Collaborations with industry partners like Rolls-Royce and Kongsberg Digital highlight his commitment to bridging academic research with practical maritime challenges.

David Pikeمشاهده پروفایل

استاد پژوهش

• Combinatorics
• Graph Theory
• Design Theory
• +۱ مورد دیگر

Dr. David Pike is a Research Professor at Memorial University of Newfoundland, cross-appointed to the Department of Computer Science. His primary research focuses on combinatorial mathematics, including block-intersection graphs of combinatorial designs, cycle systems, graph decompositions, and computational problems in combinatorics. He has held grants from NSERC and CFI for research in combinatorial design theory and high-performance computing. Dr. Pike has taught courses such as Graph Theory, Combinatorial Design Theory, and Cryptography across multiple academic years. He earned a B.Math from the University of Waterloo and a PhD from Auburn University. His awards include the Motivational Teaching Award (2004) and the ICA Hall Medal (2007). Dr. Pike serves as Vice-President of the Institute of Combinatorics and its Applications and previously held roles in the Canadian Mathematical Society. His research spans structural properties of graphs, existential closure, and algorithmic problems in combinatorics. Recent work includes studies on hypergraph burning, firefighting strategies, and colorings of combinatorial systems.

Patrick Basمشاهده پروفایل

استاد پژوهش

• Steganography
• Steganalysis
• Digital Watermarking
• +۲ مورد دیگر

Patrick Bas serves as Research Director and Thematic Group Facilitator for the Data Intelligence Group (DatInG) at the University of Lille, France, where he leads the Signal and Images team within the CRISTAL laboratory. His office is located at ESPRIT in Lille's Scientific City, and he holds membership on the institution's Scientific Council. Bas earned his Electrical Engineering degree (1997) and Ph.D. in Signal and Image Processing (2000) from the Institut National Polytechnique de Grenoble. His academic journey includes postdoctoral work at Université Catholique de Louvain, CNRS research at Gipsa-Lab (2001-2009), and a visiting position at Helsinki University of Technology (2005-2008). His primary research centers on steganography, steganalysis, and digital watermarking, with significant contributions to image manipulation detection and neural network applications in multimedia security. He has organized major initiatives including the BOSS steganalysis contest (2010) and served as co-coordinator for the Ecrypt European NoE's watermarking virtual lab (2004-2008). While his Google Scholar profile indicates recent publications in graph theory and combinatorics (2021-2025), these appear inconsistent with his documented research focus on multimedia security as evidenced by his thesis supervision and professional activities. Bas has supervised seven doctoral theses including Rony Abecidan's work on robust image manipulation detection (2024) and Solène Bernard's research on neural network steganography (2021). He has held editorial roles for the Eurasip Journal on Information Security (since 2011) and IEEE Transactions on Information Forensics and Security (2013-2016), and co-organized the International Workshop on Information Hiding (IH07).

Diksha Guptaمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Network Science
• Distributed Systems
• +۴ مورد دیگر

Diksha Gupta is a Postdoctoral Research Associate at the Biocomplexity Institute, University of Virginia, where she applies artificial intelligence (AI) to study complex real-world networks such as social, cyber, and supply chain systems. She also explores robust federated learning within distributed systems. Prior positions include research roles at INRIA France, IBM Research, and the National University of Singapore’s School of Computing. She earned her Ph.D. with Distinction from the University of New Mexico. Education: Ph.D. with Distinction, University of New Mexico. Her research focuses on designing provably secure, scalable, and efficient protocols for distributed systems. Key interests include randomized algorithms, distributed graph algorithms, algorithmic game theory, and biologically-inspired systems. Recent publications highlight trends in AI applications for network systems, theoretical foundations of Sybil defense mechanisms, and distributed algorithms for secure systems. Notable work spans AI-driven network science, decentralized cybersecurity, and swarm robotics. Scientific Awards: PODC Student Travel Grant for PODC’19, TCPP Student Travel Grant for IPDPS’19, Ph.D. with Distinction from the University of New Mexico. No formal advising roles or students are currently documented. She is affiliated with the Biocomplexity Institute at the University of Virginia, collaborating on interdisciplinary research projects.

• Geometric Analysis
• Higher-Order Partial Differential Equ
• Curvature Flow
• +۴ مورد دیگر

Dr. Glen Wheeler is a Senior Lecturer at the University of Wollongong , affiliated with the School of Mathematics and Applied Statistics . He is an internationally recognized expert in geometric analysis and higher-order curvature flow of curves and hypersurfaces. His work bridges differential geometry and partial differential equations (PDE), with a focus on nonlinear higher-order geometric PDE and applications to bushfire modeling, biological membranes, and isoperimetric problems. Research Interests : Geometric flows (Willmore flow, surface diffusion flow, curve diffusion flow), higher-order PDE, Sobolev gradient flows, and applications to bushfire dynamics, biological systems, and geometric inequalities. Grants & Funding : ARC Discovery Project (CI) for higher-order curvature flows (2015-2018), Advancement and Equity Grants Scheme (AEGiS) for isoperimetry (2023), and internal grants for geometric analysis (2014-2015). Scientific Awards : Alexander von Humboldt Fellowship (2010-2012) 2017 Peter Schwerdtfeger Award (Alexander von Humboldt Foundation) Teaching & Supervision : Supervises PhD topics in higher-order PDE, conformal structures, and nonlinear parabolic equations. His supervision spans projects on curvature flows, wound healing, and geometric evolution equations. Publication Trends : Dr. Wheeler’s recent work focuses on nonlocal PDE for bushfire modeling, curve shortening flows with ambient forces, and entropy-driven geometric flows. His research explores solitons, rigidity theorems, and numerical methods for higher-order flows like Chen’s flow. Subfields include conformal geometry, free boundary problems, and applications to medical and environmental challenges.

Avery Millerمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Distributed Algorithms
• Graph Theory
• +۵ مورد دیگر

Avery Miller is an Associate Professor in the Department of Computer Science at the University of Manitoba. His research focuses on theoretical computer science, particularly distributed algorithms, graph theory, and algorithmic lower bounds. He holds a Ph.D. from the University of Toronto, supervised by Faith Ellen, and has held postdoctoral positions at Tel Aviv University and Université du Québec en Outaouais. Education: Ph.D. in Computer Science, University of Toronto (Supervisor: Faith Ellen) M.Sc. in Computer Science, University of Toronto (Supervisor: Faith Ellen) B.Math. in Computer Science and Combinatorics & Optimization, University of Waterloo Research interests include distributed computing in anonymous networks, wireless networks, and graph burning. His work explores deterministic protocols, fault-tolerant systems, and the role of information in distributed algorithms. Recent projects involve reconfiguration of multisets, fast rendezvous in labeled networks, and cop-and-robber games on planar graphs. Publications highlight contributions to distributed algorithms, radio networks, and graph theory, including a best paper award at SPAA 2019. His work often bridges theoretical foundations with practical network challenges. Awards: Best Paper Award at SPAA 2019 Academic service includes roles as Organizing Chair of PODC 2021, Treasurer of PODC 2020, and committee memberships in SPAA, DISC, and other conferences. He reviews for top journals like ACM Transactions on Algorithms and Theoretical Computer Science. Teaching includes courses on automata theory, algorithms analysis, and distributed computing. He is part of the Geometric, Approximation, and Distributed Algorithms Lab at the University of Manitoba.

Andreas Emil Feldmannمشاهده پروفایل

مدرس ارشد

• Combinatorial optimization
• Parameterized approximation algorithms
• Network design
• +۳ مورد دیگر

Dr. Andreas Emil Feldmann holds the position of Senior Lecturer in Algorithms at the University of Sheffield's School of Computer Science since 2023. His academic journey includes a Diploma in Computer Science from RWTH Aachen (2007), a Doctor of Sciences from ETH Zurich (2012), and a habilitation from Charles University in Prague (2021). He has held postdoctoral positions at the University of Waterloo (2012–2015) and the Hungarian Academy of Sciences (2015). His research focuses on combinatorial optimization, parameterized approximation algorithms, network design, and clustering, with notable contributions to survivable network design, highway dimension graphs, and algorithmic lower bounds. He has organized workshops like the Parameterized Approximation Algorithms Workshop (PAAW) and serves on program committees for major conferences such as ICALP and IPEC. His work has been recognized, including a 2022 teaching award at Charles University.

Philipp Elbertمشاهده پروفایل

مدرس

• Fuel Optimal Control
• Hybrid Electric Vehicles
• Diesel Engines
• +۷ مورد دیگر

Philipp Elbert is a Lecturer at the Department of Mechanical and Process Engineering, ETH Zurich, Switzerland. He holds a Dr.Sc. in Mechanical Engineering from ETH Zurich (2013) and previously received his M.Sc. from the same institution (2009). His research focuses on fuel optimal control and design of hybrid electric vehicles and diesel engines, optimal control theory, and numerical methods. He has contributed to projects like Formula 1 Powertrain optimization and SwissTrolley plus, a battery-electric bus charging via trolley networks. His recent publications highlight advancements in real-time control algorithms for hybrid systems and synthetic fuels' role in decarbonizing transportation. Key keywords include Energy Management , Vehicular Technology , and Power-to-Gas . Notably, he co-authored a 2019 Energy Reports review comparing synthetic fuels for passenger vehicles, analyzing well-to-wheels efficiency across hydrogen, methane, and diesel alternatives. Scientific awards include: Watt d'Or (2015) for energy-efficient mobility European Satellite Navigation Competition (2011) Hans Eggenberger Preis (2010) for his M.Sc. thesis Elbert teaches the ETH ME master's course "Vehicle Propulsion Systems" annually and has pioneered real-time graph construction algorithms for vehicular energy optimization.

• Bioenergy Systems
• Climate Change Adaptation
• Remote Sensing Applications
• +۳ مورد دیگر

DJ Quinn is a Lecturer at the University of California, Davis, specializing in interdisciplinary environmental science and technology applications. Their work focuses on bioenergy systems, climate change adaptation, remote sensing, and sustainable resource management. Quinn has extensive experience in developing decision-support tools using geospatial technologies, hydroeconomic modeling, and machine learning. Research interests include biofuel supply chain optimization, water resource management under climate change, and the integration of open data standards like Wikidata for institutional knowledge management. Quinn has contributed to projects such as the HP-BiSWA biorefinery siting web application and the PyVIN hydroeconomic model for California's water infrastructure. Publications emphasize quantitative analysis of agricultural sustainability, biomass production systems, and environmental policy impacts. Quinn's work bridges academic research with practical applications in renewable energy development, precision agriculture, and climate resilience planning. Quinn has collaborated on projects funded by state and federal initiatives, focusing on California's unique environmental challenges. Their contributions span technical software development, policy modeling, and cross-disciplinary data integration.