Find Academic Supervisors

• Quantum Computing
• Embedded Systems
• Electronic Engineering
• +3 more

Andrea Marchesin serves as an Adjunct Professor at Politecnico di Torino, holding dual affiliations with the Department of Control and Computer Science (DAUIN) and the Department of Electronics and Telecommunications (DET) within the School of Engineering. His teaching responsibilities include Embedded Systems Integration for Electronic Engineering students and Quantum Hardware Design and Optimization modules within the Quantum Engineering program for the 2024/25 academic year. Dr. Marchesin's research centers on practical applications of quantum computing, with particular emphasis on quantum annealing approaches for real-world optimization problems. His scholarly work demonstrates a strategic focus on near-term quantum applications that can deliver tangible benefits despite current hardware limitations. He has developed quantum models specifically targeting urban traffic optimization and has contributed to computer architecture through tools like Octantis for exploring beyond von Neumann paradigms. His publication trend reveals a consistent trajectory toward engineering applications of quantum technologies, with recent work appearing in high-impact venues including IEEE Access and IEEE Transactions on Quantum Engineering. The research portfolio spans both theoretical algorithm development and practical implementation challenges, reflecting a bridge between quantum computing theory and engineering practice. As an academic advisor, Dr. Marchesin served as relatore (thesis advisor) for doctoral research on quantum algorithms for engineering applications. His teaching portfolio spans multiple academic years (2021/22-2024/25) and includes specialized workshops on SoC Verification Strategies alongside core courses in digital electronics and embedded systems.

Sandro BartoliniView profile

Associate Professor

• High-Performance Computing (HPC)
• Computer Architecture
• Embedded Systems
• +5 more

Sandro Bartolini serves as Associate Professor in the Department of Information Engineering and Mathematical Sciences at the University of Siena, Italy, where he teaches advanced courses in computer architecture and parallel programming while leading cutting-edge research in high-performance computing systems. His academic journey began with a cum laude Laurea in Computer Engineering followed by a PhD in Computer Science and Engineering from Università di Pisa. Education: PhD in Computer Science and Engineering, Università di Pisa Laurea in Computer Engineering (cum laude), Università di Pisa Research Focus: His work centers on photonic interconnects for chip multiprocessors , energy-efficient software optimization for multi-core/GPU architectures, and performance-portable parallel programming models . Current investigations span cryptographic acceleration, blockchain algorithms, and hardware/software co-design for emerging computing paradigms, with strong emphasis on practical implementations bridging theoretical advances and real-world applications. Publication Trends: Recent publications (2019-2023) reveal three dominant threads: (1) Photonic network innovations addressing energy bottlenecks in chip multiprocessors, (2) The PHAST library ecosystem enabling seamless CPU/GPU programming across domains from autonomous vehicles to UAV navigation, and (3) Hardware accelerator designs for convolutional networks and cryptographic workloads. These works consistently target performance-portability challenges in heterogeneous computing environments. Grants and Collaborations: As principal investigator for the Italian Ministry-funded PHOTONICA project, he established international research partnerships with Murcia University, Columbia University, and Hong Kong University of Science and Technology, while securing industry collaborations with STMicroelectronics, Intel Munich, IBM, and IMEC. He has also managed complex IT system deployments for Siemens Italy, RAI (Italian public broadcasting), and SpaceDys. Academic Leadership: Bartolini serves as Associate Editor for the Eurasip Journal of Embedded Computing and actively contributes to the European HiPEAC network. His research group at Siena maintains strong industry ties for technology transfer, particularly in photonic interconnect validation and parallel programming frameworks for next-generation computing systems.

Xiaoyan HongView profile

Associate Professor

• Distributed Systems
• Internet of Things (IoT)
• Wireless Communications
• +4 more

Dr. Xiaoyan Hong is an Associate Professor in the Department of Computer Science at The University of Alabama's College of Engineering. Her research focuses on mobile/wireless networks, vehicular networks, and delay-tolerant systems. Ph.D., Computer Science, University of California-Los Angeles (2003) M.S., Computer Science, Zhejiang University (2000) Research spans Internet of Things (IoT) , Connected Vehicles , and Underwater Wireless Networks . Key projects include NSF-funded underwater robot communication infrastructure and smart traffic light systems. Recent work explores Named Data Networking (NDN) in vehicular environments, Task Synchronization for autonomous vehicles, and V2I Communication for traffic optimization. NSF Research Experience for Undergraduates (REU) grant recipient $1.5M NSF grant for underwater robotics networking Her research integrates with multiple engineering centers, including the Center for Advanced Vehicle Technologies and Center for Transportation Operations .

Christos XenakisView profile

Professor

• Systems Security
• Network Security
• Mobile and Wireless Communications Security
• +6 more

Prof. Christos Xenakis is a Professor at the Department of Digital Systems of the University of Piraeus, where he has been a faculty member since 2007. He is also the director of the Postgraduate Degree Programme on "Digital Systems Security" and a member of the Systems Security Laboratory at the University of Piraeus. Prof. Xenakis received his B.Sc. in Computer Science in 1993, M.Sc. in Telecommunication and Computer Networks in 1996, and Ph.D. in 2004, all from the Department of Informatics and Telecommunications at the University of Athens. His research interests focus on systems, networks and application security . He has participated in numerous European (ACTS, ESPRIT, IST, AAL, DGHOME, Marie Curie, Horizon2020) and National research programs, coordinating several Horizon2020 projects including CUREX, SealedGRID, INCOGNITO and SECONDO. He has also served as Principal Investigator for Horizon Europe projects like ENTRUST and ERATOSTHENES. Prof. Xenakis has authored over 90 publications in peer-reviewed journals and international conferences, focusing on cybersecurity topics such as blockchain security, smart contracts, self-sovereign identity, adversarial machine learning, smart grid security, cyber insurance, phishing detection, wireless security, and authentication protocols. He has served on editorial boards of several scientific journals including Computers & Security , Computer Communications , and IET Information Security . He is also a member of the steering committee of the European Cyber Security Challenge and leader of the Hellenic Cyber Security Team.

Anthony ZukoffView profile

Lecturer

• Entomology
• Agricultural Pest Management
• Crop Entomology
• +1 more

Anthony Zukoff serves as an Instructor of Entomology at the Southwest Research and Extension Center (SWREC), part of Kansas State University's Research and Extension system. Based in Garden City, Kansas, his primary responsibility is extension outreach in entomology, with a focus on addressing current and emerging insect pest issues affecting crop production in Western Kansas. He actively communicates through social media, particularly on X (Twitter) as @WestKSBugs, to disseminate timely information to stakeholders. His research and extension interests are deeply rooted in agricultural entomology, specifically the management of insect pests in major field crops of the region. These include alfalfa, corn, sorghum, soybeans, sunflower, wheat, and cotton. Additionally, he has shown interest in pollinator conservation, as demonstrated by his work on monarch butterfly and pollinator habitat development. His approach emphasizes practical, integrated pest management (IPM) strategies that are critical for sustainable agriculture in the challenging environments of Western Kansas. Dr. Zukoff's recent scholarly output includes the 2025 crop-specific insect pest management guides, which collectively cover the major field crops grown in Kansas. These publications represent a systematic effort to provide up-to-date, research-based recommendations for pest control, reflecting the dynamic nature of pest pressures and the need for adaptive management solutions. His work bridges the gap between entomological research and on-farm application, ensuring that producers have access to the latest strategies for protecting their crops. Scientific awards and honors are not mentioned in the available information. Regarding academic advising and research funding, the provided materials do not indicate any graduate students supervised by Dr. Zukoff nor any details about grants he may have secured. His role appears to be primarily focused on extension and outreach rather than graduate mentoring or large-scale research projects requiring external funding. Anthony Zukoff is embedded within the Southwest Research and Extension Center, a key component of Kansas State University's network of research and extension centers across the state. The SWREC conducts applied research and delivers extension programs tailored to the agricultural and natural resource needs of Western Kansas, and Dr. Zukoff's entomology expertise is a vital part of this mission.

Michael DinitzView profile

Associate Professor

• Theoretical Computer Science
• Approximation Algorithms
• Online Algorithms
• +5 more

Michael Dinitz is an Associate Professor in the Department of Computer Science at Johns Hopkins University with a secondary appointment in the Department of Applied Mathematics and Statistics . He is a member of the Algorithms and Complexity group and the Mathematical Institute for Data Science . His research focuses on Theoretical Computer Science , with emphasis on approximation algorithms , online algorithms , and distributed algorithms , particularly in applications to computer networking , distributed systems , and machine learning . His recent work involves differential privacy , dynamic networks , and resilient network design . His publications cover diverse topics in graph theory , privacy-preserving algorithms , and online optimization , with a focus on practical applications of theoretical results. He has received multiple NSF grants including a CRII award and Algorithms in the Field funding, and was honored with the Professor Joel Dean Excellence in Teaching Award . He advises a research group with PhD, MSE, and undergraduate students , and serves on program committees for leading theory conferences like FOCS , STOC , and ICALP . Education PhD in Computer Science, Carnegie Mellon University (2010), advised by Anupam Gupta AB in Computer Science, Princeton University (2005), advised by Sanjeev Arora Grants & Awards NSF CRII Grant (2015) NSF Algorithms in the Field Grant (2016) Multiple NSF Algorithmic Foundations grants (2019, 2022, 2025) NSF Graduate Research Fellowship (2005-2010) ARCS Foundation Scholarship (2005-2010) Best Paper Awards at ICDCS (2014) and DISC (2017)

Manuel Alejandro Barranco GonzálezView profile

Associate Professor

• Dependable Real-Time Fault-Tolerant Distributed Systems
• Adaptive Systems
• Dependability Evaluation
• +3 more

Dr. Manuel Alejandro Barranco González is an Associate Professor in the Department of Mathematics and Informatics at the University of the Balearic Islands (UIB). His research focuses on Dependable Real-Time Fault-Tolerant Distributed Systems, Adaptive Systems, and Industrial Networks like Fieldbuses and TSN Ethernet Standards. Ph.D. in Informatics (UIB, 2010) Specialized in fault-tolerant architectures for Distributed Critical Embedded Systems Co-author of 50+ publications and 3 patents in CAN reliability His research spans rigorous modeling of system reliability, collaboration with institutions like the University of Aveiro and FEUP, and contributions to IEEE conferences (Technical Program Committee member since 2014, Financial Chair at WFCS 2015). He has supervised 4 Ph.D. theses and numerous master’s projects, all rated 'excellent.' Best Paper Award at IEEE WFCS 2004 Best Paper Award at IEEE ETFA 2022 Best Work-in-Progress Awards at IEEE ETFA 2012, WFCS 2014, and WFCS 2016 His recent work explores TSN networks, node replication, and fault tolerance mechanisms in adaptive systems. He actively contributes to academic governance as a member of the Comissió de Direcció at UIB and technical committees in IEEE conferences.

Arnab Kumar-MondalView profile

Researcher

• Computer Vision
• Deep Learning
• Dynamical Systems
• +9 more

Arnab Kumar-Mondal is a Machine Learning Researcher at Apple Inc., with a Ph.D. in Deep Learning from McGill University and Mila – Quebec Artificial Intelligence Institute. His work bridges theoretical and applied research in computer vision, language modeling, robotics, and AI for science. Ph.D. from McGill University (2025 completion) Internships at Microsoft Research and Apple Visiting Researcher at ServiceNow Research and Huawei Noah’s Ark Lab B.Tech in Electronics and Electrical Engineering from IIT Kharagpur His research focuses on equivariant learning , state space modeling , and generative adversarial networks (GANs) , with applications in medical imaging, human motion analysis, and vector graphics generation. Key contributions include canonicalization frameworks for symmetry-aware modeling and spectral analysis of representation quality in self-supervised learning. Collaborations span institutions like ServiceNow, Huawei, and Mila. Recent publications (2023–2025) explore symmetry-aware generative modeling , efficient dynamics modeling in interactive environments, and rotation-invariant visual representation learning. His work on ternary language models at ICLR 2025 demonstrates scalable pretraining techniques. Arnab maintains active contributions to open-source software, including PyTorch implementations for semi-supervised segmentation via CycleGAN. His technical depth extends to VLSI engineering, embedded systems, and free-form lens design from undergraduate research. Professional activities include patents on video-language foundation models, internships at leading tech firms, and cross-institutional research roles.

• Compilers
• Computer Architecture
• High-Level Synthesis
• +5 more

Scott Mahlke is a Professor and Associate Chair in the Department of Electrical Engineering and Computer Science at the University of Michigan's College of Engineering. He is affiliated with both the Advanced Computer Architecture Laboratory and the Software Systems Laboratory. Dr. Mahlke joined the University of Michigan in 2001 after completing his Ph.D. at the University of Illinois and working at HP Laboratories. Ph.D., University of Illinois Former Researcher, HP Laboratories Dr. Mahlke's research spans compilers, computer architecture, and high-level synthesis, with particular focus on overcoming challenges in performance, power consumption, and reliability for next-generation computer systems. His work integrates hardware and software co-design approaches to address fundamental limitations in modern computing platforms. His research has evolved from traditional compiler and architecture topics toward increasingly incorporating machine learning acceleration, autonomous systems, and reliability engineering. Analysis of his recent publications (2021-2025) reveals a strong trend toward hardware-software co-design for emerging workloads, particularly in autonomous systems, neural network acceleration, and reliability-aware computing. His work demonstrates consistent innovation in bridging compiler technology with architectural innovations to solve real-world performance and efficiency challenges. Dr. Mahlke has received significant recognition for his contributions to the field: National Science Foundation CAREER Award (2003) for "Compiler-Directed Synthesis of Application Specific Processors" Morris Wellman Faculty Development Assistant Professor appointment (2004) ISCA Most Influential Paper Award (2006) for the 1991 paper "IMPACT: An Architectural Framework for Multiple Instruction Issue Processors" Young Alumni Award from the University of Illinois ECE Department (2007) As an educator, Dr. Mahlke has taught core computer systems courses including EECS 370 (Introduction to Computer Organization), EECS 483 (Compiler Construction), and EECS 583 (Advanced Compilers) since joining Michigan. His teaching philosophy follows Yale Patt's 10 commandments for teaching, emphasizing understanding over memorization, genuine respect for students, and taking responsibility for course content. He has received mixed but generally positive student evaluations, with students noting both his deep subject matter expertise and areas for improvement in lecture delivery. Dr. Mahlke maintains active research leadership through his affiliations with the Advanced Computer Architecture Laboratory and Software Systems Laboratory, where his team continues to explore innovative approaches to compiler and architecture challenges in modern computing systems.

Suleiman SharkhView profile

Professor

• Electric Machines
• Power Electronics
• Microgrids
• +4 more

Suleiman Sharkh is Professor of Electrical Machines and Drives at the University of Southampton within the Faculty of Engineering and Physical Sciences. His primary affiliation is with the Department of Electrical and Electronic Engineering, where he leads research in critical energy technologies. His work spans multiple interdisciplinary groups including Mechatronics Southampton, the Southampton Marine and Maritime Institute, Ocean Energy research, and Maritime Decarbonisation initiatives. Professor Sharkh's research focuses on electric machines, power electronics, and microgrids , with specialized expertise in battery management systems, energy harvesting, and electromagnetic field effects on aquatic life. His current projects investigate novel power electronic converters for grid-battery interfaces, hybrid dual-chemistry battery characterization, multi-degree-of-freedom actuators for vibration control, and electromagnetic guidance systems for fish migration. His work bridges theoretical innovation with commercial applications in marine propulsion, renewable energy integration, and electric vehicle infrastructure. Analysis of his recent publications reveals strong trends in electrification of marine systems (rim-driven thrusters, tidal turbines), advanced battery-grid interfaces (electrochemical impedance spectroscopy, hybrid chemistries), and bioelectromagnetic applications (fish behavior studies). His work consistently addresses real-world challenges in energy security, system reliability, and environmental sustainability through rigorous experimental validation. Scientific Awards The Engineer Energy Innovation and Technology Award (2008) for rim-driven marine thrusters Royal Academy of Engineering ExxonMobil Teaching Excellence Award (2013) Professor Sharkh actively supervises five PhD students while leading major research projects funded by EPSRC, Innovate UK, and industry partners. His current grants include the FEVER project on electric vehicle networks, Shark S research exchanges with China/India, and investigations into electromagnetic effects on eel migration. His laboratory work focuses on high-speed electrical machines, battery characterization rigs, and electromagnetic field exposure systems for biological studies. Future work emphasizes maritime decarbonization through integrated power electronics and machine design for zero-emission vessels.

Abhishek HalderView profile

Associate Professor

• Stochastic Systems
• Control Theory
• Optimal Transport
• +7 more

Abhishek Halder is an Associate Professor in the Department of Aerospace Engineering at Iowa State University and an Associate Adjunct Professor in the Department of Applied Mathematics at the University of California, Santa Cruz. He is also a member of the Translational AI Center at Iowa State University. His academic journey includes joining Iowa State University as an Assistant Professor in July 2023 and previously serving as faculty at UC Santa Cruz starting from October 2017. Dr. Halder's educational background includes studies at IIT Kharagpur and Texas A&M University, where he developed expertise in systems and control theory with applications to matrix analysis, probability, and optimization. His research has been recognized with prestigious awards including the O. Hugo Schuck Best Application Paper Award from the American Automatic Control Council, Applied Mathematics Research Award from UC Santa Cruz, Outstanding Doctoral Student Award from Texas A&M, and Best Dual Degree Thesis Award from IIT Kharagpur. His research focuses on stochastic systems, control and optimization with applications to large scale cyber-physical systems. Dr. Halder has made significant contributions to the fields of optimal transport, Schrödinger Bridge theory, distributional control, and uncertainty propagation in dynamical systems. His work bridges theoretical developments with practical applications in power systems, aerospace engineering, and machine learning. He has secured multiple research grants from NSF, including a CPS Frontier project on Computation-Aware Algorithmic Design for Cyber-Physical Systems. Dr. Halder has demonstrated leadership in the control systems community through editorial roles including Associate Editor for IEEE Transactions on Automatic Control (2025-present), ASME Journal of Dynamic Systems, Measurement, and Control (2025-present), Systems & Control Letters (2022-present), and previously for IEEE Control Systems Society Conference Editorial Board (2019-2025) and IEEE Transactions on Aerospace and Electronic Systems (2019-2022). He is a Senior Member of IEEE and a member of IFAC, SIAM and ASME. His research group has produced numerous publications in top-tier journals and conferences, with recent work focusing on connections between optimal transport theory, stochastic control, and machine learning. The publication trends show increasing integration of Schrödinger Bridge formulations with machine learning techniques for distributional control problems across various domains including power systems, aerospace applications, and resource allocation. O. Hugo Schuck Best Application Paper Award (2024) Applied Mathematics Research Award from UC Santa Cruz (2022) IEEE Senior Member (2021) Outstanding Doctoral Student Award from Texas A&M Best Dual Degree Thesis Award from IIT Kharagpur Dr. Halder has mentored numerous PhD students including Alexis, Georgiy, Iman, Shadi, and Kenneth, many of whom have received prestigious fellowships. His research group maintains strong collaborations with national laboratories including Lawrence Livermore National Lab and Los Alamos National Lab, as well as industry partners. Dr. Halder is also committed to education and outreach, having created and taught the 'Feedback Control' course for high school students in the California State Summer School for Mathematics and Science (COSMOS), introducing complex control theory concepts without calculus or linear algebra.

Tiantai DengView profile

Lecturer

• FPGA-based Hardware Acceleration
• Sparse Processing Architecture for CNN and GEMM
• Number System and Approximation Computing
• +3 more

Dr. Tiantai Deng is a Lecturer in Electronics and Digital Systems at the School of Electrical and Electronic Engineering , University of Sheffield (since 2021). His industrial background includes a senior research engineer role at HiSilicon/Huawei , where he focused on hardware architecture design for CNN, GEMM, and image/video processing on FPGAs/ASICs. Education: BEng, MSc, PhD Research interests span FPGA-based hardware acceleration , sparse processing architecture for CNN/GEMM, number system design , approximation computing , and high-level design environments . His work integrates algorithm-hardware co-optimization for efficiency in AI and mathematical computing. Recent publications emphasize neurodynamic systems for opinion modeling, parallel processing elements for ODE/AI acceleration, and low-power FPGA implementations for clustering/modulation classification. Earlier work addressed combustion dynamics and image processing pipelines. Contact: t.deng@sheffield.ac.uk | Office: G108, Sir Frederick Mappin Building, Sheffield S1 3JD | ORCID 0000-0003-4507-5746

Richard CollinsView profile

Senior Lecturer

• Water Distribution Systems
• Hydraulic Transients
• Pipe Fatigue Analysis
• +5 more

Dr Richard Collins is a Senior Lecturer in Water Engineering at the University of Sheffield , affiliated with the School of Mechanical, Aerospace and Civil Engineering. His research focuses on hydraulic transients , pipeline integrity , and smart water infrastructure . Graduated with an Aerospace Engineering degree (2005) and PhD in Materials and Mechanical Engineering (2009) Current research explores pressure transients , leak detection , and autonomous robotic systems for pipeline inspection Projects include fatigue analysis , biofilm mobilisation , and ultrasound-based pipe assessment His publications emphasize cast iron pipe fatigue , acoustic leak detection , and transient-induced contamination . Funded by RCUK and Datatecnics , his work bridges mechanical engineering and civil infrastructure challenges.

• Acoustics
• Sensors for water industry
• Acoustic materials
• +5 more

Professor Kirill V Horoshenkov (FREng) is a leading academic at the University of Sheffield , holding a Personal Chair in Acoustics within the School of Mechanical, Aerospace and Civil Engineering . With a MEng in Electro-Acoustics and Ultrasonic Engineering from Moscow University and a PhD in Computational and Experimental Acoustics from the University of Bradford, he transitioned to Sheffield in 2013 after a distinguished career at Bradford. Acoustic sensors for water infrastructure Physical acoustics and wave propagation Acoustic material characterization Pipe condition monitoring systems Research Focus : Horoshenkov's work bridges acoustic engineering with water industry applications , developing innovative solutions for pipeline diagnostics and monitoring. His team has pioneered acoustic vector receivers , MEMS hydrophones , and Bayesian acoustic models for material analysis. Notable projects include the Pipebots Programme Grant and EPSRC Acoustics Network . Scientific Leadership : A Fellow of the Royal Academy of Engineering, he serves as Editor-in-Chief of the Nature Portfolio Journal npj Acoustics . His research has yielded 12 patents and over 200 publications , including commercialization through spin-offs like Acoutechs Limited (licensed to Armacell) and Acoustic Sensing Technology Limited .

• Optical Networks
• 6G Communications
• Quantum-Classical Networks
• +7 more

Paolo Monti is a Professor and Head of the Optical Networks Unit at Chalmers University of Technology's Department of Communications, Antennas and Optical Networks. With extensive expertise in optical communication infrastructures, he leads research focusing on energy efficiency, network resiliency, programmability, automation, and techno-economics of optical networks. His work spans multiple international collaborations with funding from major research bodies across EU, USA, and Asia. Professor Monti's research interests center around next-generation optical networking technologies. His work explores the integration of artificial intelligence and machine learning with optical networks, quantum-classical network convergence, 6G infrastructure development, and network automation. His research addresses critical challenges in network energy consumption, reliability under failure conditions, and cost-effective deployment strategies for emerging communication technologies. The research group under his leadership develops frameworks for optical network monitoring, security, and resource optimization using advanced computational techniques. Analysis of his recent publications reveals a strong trend toward AI/ML integration with optical networking, with significant focus on quality of transmission estimation, network automation, and 6G readiness. His work increasingly combines quantum technologies with classical optical networks while addressing practical implementation challenges in multi-band elastic optical networks. The publications demonstrate a progression from theoretical network design to practical implementations with real-world validation. Professor Monti has received recognition as a Senior Member of IEEE, highlighting his contributions to the field of communications and networking. As an academic leader, Professor Monti has been involved as Principal Investigator, co-PI, and main technical leader in numerous national and international projects. His educational contributions include teaching courses at undergraduate, Master's, and PhD levels, as well as developing ICT-focused education programs. His research has been supported by major funding bodies including the European Commission, VINNOVA, and Wallenberg Centre for Quantum Technology. The Optical Networks Unit under Professor Monti's leadership operates as a vibrant research environment focusing on both theoretical and experimental aspects of next-generation optical communications. The unit maintains strong collaborations with industry partners and academic institutions worldwide, participating in multiple EU-funded projects and national initiatives focused on quantum communications and 6G infrastructure.