Find Academic Supervisors

Hy Truong SonView profile

Assistant Professor

• Artificial Intelligence
• Deep Learning
• Drug Discovery
• +6 more

Dr. Hy Truong Son is an Assistant Professor in the Department of Computer Science at the University of Alabama at Birmingham (UAB), affiliated with the College of Arts and Sciences. He holds a Ph.D. in Computer Science from the University of Chicago and has prior experience as a Lecturer and Postdoctoral Fellow at the Halicioglu Data Science Institute, UC San Diego. His research focuses on AI-driven solutions for science and engineering, particularly deep learning applications in drug discovery, repurposing, and biomedical problem-solving through his HySonLab group. Dr. Son’s educational background includes a Ph.D. from the University of Chicago, emphasizing foundational training in computer science. His postdoctoral work at UC San Diego further solidified his expertise in data science and interdisciplinary AI applications. Research interests span AI for drug discovery, generative AI, multimodal learning, and healthcare technologies. His lab’s work integrates AI with molecular biology, medical imaging, and wearable sensor data to address challenges in precision medicine and environmental science. Notable projects include DrugPipe for drug repurposing and SilVar-Med for explainable medical imaging analysis. His recent publications highlight advancements in generative models, speech synthesis, protein design, and scalable graph neural networks. These works reflect a focus on bridging AI with real-world biomedical and engineering applications. While no awards are explicitly listed, his prolific publication record and active lab indicate significant contributions to the field. He advises students and engineers in his team, fostering collaborative research environments. Ongoing projects include wearable device datasets for mental health and multimodal biomedical knowledge graph development. Dr. Son’s HySonLab group emphasizes translational research, aiming to deploy AI solutions in clinical and scientific settings. Current efforts include optimizing molecular interactions via large language models and enhancing drug discovery pipelines through interdisciplinary computational methods.

Mark StockmanView profile

Associate Professor

• Cybersecurity
• Cloud Computing
• Virtualization
• +6 more

Mark A. Stockman is an Associate Professor at the University of Cincinnati, specializing in cybersecurity, cloud computing, and system administration. He holds a BS in Industrial and Systems Engineering from Ohio University's Russ College of Engineering and Technology (1992) and an MBA in Management from Ohio University's College of Business (1994). His research focuses on integrating social science principles into cybersecurity education, developing cloud-based educational infrastructure, and analyzing cybercrime prevention strategies. Notable contributions include pioneering work on honeynet systems for hacker behavior analysis and organizational cybersecurity victimology frameworks. Stockman has published extensively on topics like insider threat mitigation, IT curriculum design, and virtualization technologies. His work bridges technical cybersecurity practices with organizational risk management, emphasizing interdisciplinary approaches to modern IT challenges. He has advised on multiple educational initiatives including cloud lab development and remote-access systems for computing disciplines. His publications reflect a commitment to advancing both technical and pedagogical innovations in information technology.

Michael A. BenderView profile

Professor

• Algorithms
• Data Structures
• Cache and I/O-Efficient Computing
• +7 more

Michael A. Bender is the John L. Hennessy Chaired Professor of Computer Science at Stony Brook University. His work spans both theoretical and applied domains in algorithms, data structures, and storage systems. He co-founded Tokutek, Inc., a database company acquired by Percona in 2015, and has held visiting positions at MIT and King's College London. Education: PhD in Computer Science from Harvard University (1998), DEA and Magistère in Computer Science from École Normale Supérieure de Lyon (1993), BA in Applied Mathematics from Harvard (1992). His research focuses on cache-oblivious algorithms , I/O-efficient computing , parallel systems , and scheduling . His work addresses scalability in large-scale data management and computational geometry, with applications in bioinformatics and robotics. The 15 most recent publications highlight advancements in list labeling , hash table design , graph algorithms , and memory optimization . These papers reflect his commitment to solving practical problems with rigorous algorithmic approaches. Awards include: PODS Best Paper Award (2024) ASPLOS Distinguished Paper Award (2023) USENIX FAST Best Paper Award (2016) Chancellor's Award for Excellence in Teaching (2015) R&D 100 Award (2006) He has led the Stony Brook Computer Science Honors Program and advised graduate students in algorithmic research. His grants portfolio includes 39 funded projects, emphasizing algorithm engineering and systems optimization.

Mohammad MannanView profile

Professor

• Systems Security
• Privacy
• Mobile Security
• +5 more

Mohammad Mannan is a Professor at the Concordia Institute for Information Systems Engineering, Concordia University. His research focuses on systems security, privacy, mobile security, machine learning applications in security, authentication mechanisms, and trusted computing. He actively supervises students in Information Systems Security (MASc) and Information and Systems Engineering (PhD) programs. Dr. Mannan's work emphasizes real-world security challenges, including vulnerabilities in IoT platforms, privacy issues in mobile apps and websites, and cryptographic protocol weaknesses. He has contributed to developing tools like WARNE for stalkerware detection and LURK-T for TLS delegation improvements. His research bridges theoretical security concepts with practical implementations, addressing threats such as ransomware, phishing, and privacy violations in digital ecosystems. Key areas of exploration include analyzing JavaScript vulnerabilities in real-world applications, evaluating privacy policies of AI chatbots, and mitigating risks in super-apps like WeChat. His publications often highlight the intersection of security and privacy, with a focus on measurable solutions for emerging technologies like smart devices and enterprise security software. Despite no explicitly listed awards or grants, his extensive publication record demonstrates sustained contributions to cybersecurity and privacy research. His advising role reflects a commitment to training the next generation of security professionals in addressing complex modern threats.

Paulina Jo PeschView profile

Assistant Professor

• Internet and IT law
• Data protection law
• Electronic payments
• +3 more

Prof. Dr. Paulina Jo Pesch is an Assistant Professor in the Department of Law and Technology at Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany. Her research focuses on Internet/IT law, data protection law, electronic payments, and decentralized virtual currencies. She has held postdoctoral positions at the University of Münster (part-time) and University of Innsbruck, alongside legal training as a Trainee Lawyer in Berlin’s judicial system, including roles at the Berlin Public Prosecutor’s Office, Berlin Commissioner for Data Protection, and law firms. Education includes a Ph.D. (Dr. iur.) in Law from the University of Münster (2016), a specialization in Information/Telecommunication Law, and legal examinations (First and Second State Examinations). Her work bridges legal and technical domains, addressing challenges posed by emerging technologies like blockchain, AI, and generative models under GDPR and cybersecurity frameworks. Publications emphasize regulatory frameworks for cryptocurrencies, AI ethics, digital forensics, and consent management in ad-tech. She co-authored the BITCRIME project’s recommendations for cryptocurrency regulation and contributed to studies on financial sector cybersecurity for Germany’s BaFin. Her research frequently intersects cybercrime prevention, intellectual property, and cross-border legal harmonization. Prof. Pesch’s career combines academic rigor with practical legal experience in tech sectors. She advises on IT security law, participates in interdisciplinary projects, and teaches at FAU. Current work explores generative AI’s legal implications, blockchain governance, and data protection in decentralized systems.

Bruce JacobView profile

Professor

• Memory Systems
• Computer Architecture
• Memory Devices
• +7 more

Bruce Jacob is a Professor in the Cyber Science Department within the School of Engineering, Computing, and Weapons at the United States Naval Academy, where he joined in Fall 2022. Prior to USNA, he served as a professor of Electrical & Computer Engineering at the University of Maryland for 25 years, establishing himself as a leading expert in memory systems and computer architecture. Dr. Jacob received his A.B. in Mathematics from Harvard in 1988 and his Ph.D. in Computer Science & Engineering from The University of Michigan in 1997. Before graduate school, he worked in Boston start-ups as a software engineer at Boston Technology and later as chief engineer and system architect at Priority Call Management, which was successfully acquired in the late 1990s. His research focuses on memory systems, computer architecture, and memory devices, with significant contributions to memory system design across industry and government sectors. Jacob has designed computer-system architectures and memory-system architectures for major organizations including Micron (Hybrid Memory Cube DRAM architecture), Cray (Black Widow memory system), Northrop Grumman (experimental ultra-low-power datacenter), and the European Commission (1024-core Teraflux chip). His work spans resistive memory systems, non-volatile memory, memory simulation, and hardware security. His publication record demonstrates consistent leadership in memory systems research, with recent work focusing on ReRAM development, trusted execution environments for in-storage computing, and advanced memory simulation techniques. His research shows a clear trajectory toward monolithic memory integration, 3D stacking, and addressing the semantic gap between software and memory systems. Fellow of the IEEE Patent in memory-systems design Three patents in electric guitar circuit design Featured in Washington Post, Los Angeles Times, Chronicle of Higher Education, and NPR for guitar-related innovations Jacob has written two textbooks on computer memory systems and numerous articles spanning memory systems, computer design, embedded systems, operating system design, and even ventured into astrophysics and algorithmic composition. His DRAMsim memory simulator has become an industry standard tool. His practical industry experience complements his academic work, having consulted for major technology companies on memory system design challenges.

Justin Y. ShiView profile

Associate Professor

• Scalable Computing
• Blockchain Protocols
• Software Safety
• +5 more

Justin Y. Shi is an Associate Professor at Temple University's Computer and Information Science Department. His research focuses on scalable computing, blockchain protocols, software safety, and infinitely scalable systems. He holds a PhD from the University of Pennsylvania and has held roles including Interim Director of the Center for Advanced Computing and Communications (1992-1998) and CIS Department Chair (2007-2009). B.S. Computer Engineering, Shanghai Jiao-tong University (1977) M.S. Software Engineering, University of Pennsylvania (1983) PhD in Concurrent Programming, University of Pennsylvania (1984) His research explores decoupling programs and data from physical devices to achieve fault tolerance and scalability. Key contributions include the Statistic Multiplexed Computing (SMC) paradigm and foundational work on parallel algorithms and distributed systems. He has authored patents on scalable parallel computing and high-performance blockchain systems. Teaching highlights include courses on quantum computing, cybersecurity, and fullstack programming. He has advised over 15 students, many now in industry and academia. Founder & CEO of Parallel Computers Technology Inc. (2000-2017) Co-founder of SMC Labs (2022-present) Active in editorial roles for IEEE Blockchain Technology Briefs and contributor to NSF workshops on cloud computing. His work has been exhibited at Supercomputing Conferences (1991-2018).

Chamith WijenayakeView profile

Senior Lecturer

• multidimensional signal processing
• digital hardware architectures
• FPGA based system design
• +3 more

Dr. Chamith Wijenayake is a Senior Lecturer - Teaching Focused at the School of Electrical Engineering and Computer Science, University of Queensland. He holds a PhD in Electrical and Computer Engineering from the University of Akron (2014) and a BSc (Hons) in Electronic and Telecommunications Engineering from the University of Moratuwa, Sri Lanka (2007). His research focuses on multidimensional signal processing, digital hardware architectures, FPGA-based systems, machine learning accelerators, and engineering education. He has received notable awards, including the 2011 Outstanding Student Research Award and the 2014 IEEE Circuits and Systems Pre-Doctoral Award. Education: BSc (First Class Honours) from University of Moratuwa (2007), PhD from University of Akron (2014). His doctoral work contributed to advancements in signal processing and hardware architectures. Research interests span multidimensional signal processing, FPGA-based system design, and engineering education innovations. He develops low-complexity algorithms for light field processing and multidimensional filters for imaging, sensing, and biomedical applications. His work emphasizes practical implementations in hardware accelerators and educational technologies. Outstanding Student Research Award, University of Akron, 2011 IEEE Circuits and Systems Pre-Doctoral Award, 2014 Teaching and Advising: Focuses on blended learning approaches and project-based instruction in electrical engineering. Prior roles include Lecturer at UNSW Sydney (2015–2019). No explicit student advisee records listed. Grants and collaborations are not detailed in provided texts. Labs/Teams: Involved in multidisciplinary projects integrating signal processing with hardware design, though specific lab affiliations are not specified.

Chanaka JayawardhenaView profile

Professor

• Digital Marketing
• Consumer Behavior
• E-commerce
• +5 more

Professor Chanaka Jayawardhena is a Professor of Marketing and Head of the Department of Marketing at the University of Surrey's Surrey Business School. He previously held academic roles at the University of Hull, Loughborough University, De Montfort University, and the University of Moratuwa in Sri Lanka. His research focuses on virtual marketplaces, digital technology's impact on consumer behavior, and organizational strategies for enhancing customer experiences through AI, AR, and digital platforms. He actively supervises PhD students and teaches across various levels, emphasizing practical insights and real-world applications. His work bridges academic rigor and industry relevance, with recent publications exploring eWOM 2.0, sharing economy externalities, and consumer-brand relationships via avatars. Research interests include digital media engagement, service robots' societal impacts, and strategies for leveraging technology in marketing. His publications reflect a strong focus on consumer interaction dynamics, with notable contributions to understanding electronic word-of-mouth evolution, regulatory challenges in sharing economies, and avatar-based brand strategies. Teaching philosophy emphasizes adaptability to student needs and integration of research into pedagogy. Roles: Chair in Marketing, Member of Senior Management Team Research Themes: Virtual Marketplaces, Digital Consumption, Technology-Driven Strategies Key Publications: Over 50 peer-reviewed articles since 2001, with recent emphasis on digital marketing and consumer behavior. Supervision involves mentoring PhD candidates on topics aligned with his research areas, fostering academic innovation and industry collaboration.

Yasmin IbrahimView profile

Professor

• Digital Economy
• New Media Technologies
• Cultural Studies
• +6 more

Professor Yasmin Ibrahim is a faculty member at Queen Mary University of London, holding dual roles as Professor of Digital Economy and Culture and Deputy Dean of the School of Business and Management. She specializes in interdisciplinary research at the intersection of digital technologies, culture, and society, with a focus on migration, media ethics, and posthumanism. Her contributions include over 100 peer-reviewed articles and multiple authored/edited books on topics like digital economies, migration, and media activism. She is the convenor of the Borderlines research cluster, exploring creative and cultural economies, and actively contributes to equality and inclusion initiatives. Her teaching includes undergraduate modules on social media and postgraduate courses on brand management, emphasizing digital technologies' societal impacts. She has reviewed for EU funding bodies and the Qatar National Research Fund, while serving on editorial boards such as Sociology . Her research explores critical perspectives on Islam, race, and visual culture, with recent work addressing pandemic ethics, posthuman capitalism, and digital iconography. Advising and grants: Supervises multiple doctoral students exploring topics like skin-lightening advertisements and migrant narratives. Her work bridges academia and public engagement through research clusters and editorial roles. Notably, she co-authored Posthuman Capitalism (2021) and Digital Icons (2020), advancing critiques of digital economy ethics and visual culture. Labs/Teams: Leads the Borderlines interdisciplinary research group, fostering collaborations on creative and cultural economies. She also chairs UNPRME initiatives and participates in the School’s Senior Management Team.

Martin HoffmannView profile

Researcher

• Embedded Systems
• Real-Time Systems
• Fault Tolerance
• +3 more

Dr. Martin Hoffmann is a former research staff member at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-University Erlangen-Nuremberg (FAU). He now works at Brose Fahrzeugteile in Bamberg. His research focuses on dependability, fault tolerance, and real-time systems, with emphasis on embedded systems and safety-critical applications. He taught courses such as Echtzeitsysteme (Real-Time Systems) and Verlässliche Echtzeitsysteme (Reliable Real-Time Systems) across multiple semesters. His work includes projects like dOSEK (a dependability-oriented RTOS), DanceOS (fault-tolerant OS design), and CoRed (software-based redundancy for mixed-criticality systems). He also contributed to the I4Copter interdisciplinary quadrocopter project. His research interests span fault-injection frameworks, static kernel analysis, and soft-error mitigation. Notable contributions include Fail* (a versatile fault-injection tool) and dOSEK (RTOS for automotive safety). He has advised multiple students on topics like fault-tolerant garbage collectors and modular OS service frameworks. No scientific awards are explicitly mentioned in the provided text. His work emphasizes interdisciplinary collaboration, with projects bridging embedded systems, robotics, and safety-critical applications.

Hantao CuiView profile

Associate Professor

• Power Electronics
• Renewable Energy Systems
• Power System Simulation
• +3 more

Hantao Cui is an Associate Professor in the Department of Electrical and Computer Engineering at NC State University. He previously served as an Assistant Professor at Oklahoma State University (2021–2024) and earned his Ph.D. in Electrical Engineering from the University of Tennessee, Knoxville (2018). His research focuses on applying mathematical and computational methods to model, simulate, and analyze modern power systems, particularly those dominated by renewable energy sources and inverter-based technologies. He is the author of the ANDES simulation tool and a recipient of the NSF CAREER Award (2024) and the 2020 R&D 100 Award for his work on the CURENT Large-Scale Testbed. His expertise spans power electronics, grid stability, and cyber-physical system integration. Education: Ph.D. in Electrical Engineering, University of Tennessee, Knoxville (2018) M.S. in Electrical Engineering, Southeast University, China (2013) B.S. in Electrical Engineering, Southeast University, China (2011) Research Interests: Large-scale power system simulation and modeling Inverter-based resource control and grid stability Renewable energy integration and optimization Cyber-physical system testbed development Open-source software tools for power systems analysis Key Contributions: Developed ANDES, an open-source framework for power systems modeling Advanced virtual inertia scheduling (VIS) techniques for microgrids Pioneered data-driven adaptive control strategies for grid-forming inverters Awards & Honors: NSF CAREER Award (2024) R&D 100 Award (2020) Best Paper Award at IEEE PES General Meeting (2022) Senior Member of IEEE (2020) Grants & Labs: Principal Investigator for NSF-funded research on inverter-based grid stability Core contributor to the CURENT Large-Scale Testbed project

Pablo Serrano Yáñez-MingotView profile

Associate Professor

• Wireless Networks
• Network Protocols
• 5G/6G Communication Systems
• +3 more

Pablo Serrano Yáñez-Mingot is an Associate Professor at the Telematics Department of Universidad Carlos III de Madrid (UC3M), where he has been since 2002. He holds a Telecommunication Engineering degree and PhD from UC3M (2002 and 2006, respectively). Currently, he serves as Deputy Director of Infrastructure, Sustainability, and Digitalization at the Higher Polytechnic School (EPS). His research focuses on wireless networks, network protocols, and experimental performance evaluation, with over 100 peer-reviewed publications in top journals/conferences like IEEE/ACM Transactions on Networking and IEEE INFOCOM. He has led major projects such as the Hexa-X 6G flagship and Flex5Gware. He is an IEEE Senior Member and has received awards like the UC3M Excellence Award (2021) and Distinguished Member of the INFOCOM TPC (2022). Education: Telecommunication Engineering (UC3M, 2002), PhD in Telematics (UC3M, 2006). Research Interests: Wireless networks, 5G/6G systems, network protocols, energy efficiency, and experimental evaluation of communication systems. Recent Articles Trends : Focus on 5G/6G architectures, network automation, serverless computing, and energy-efficient solutions. Publications highlight advancements in NFV scaling, network slicing, and AI-driven orchestration. Awards : UC3M Excellence Award 2021 (Young Research Excellence) ACM WiNTECH 2016 Best Paper Award Elevated to IEEE Senior Member (2015) Advising & Grants : Supervised over 30 PhD/MSc students. Principal Investigator of projects like AMAZING-6G and iTrust6G. Actively involved in editorial and organizational roles in IEEE conferences (e.g., INFOCOM, WCNC). Labs & Teams : Leads research groups in network protocols, 5G/6G systems, and experimental evaluation. Collaborates with institutions like the University of Rome Tor Vergata and Trinity College Dublin through visiting positions.

• Medical Robotics
• Teleoperation Systems
• Augmented Reality
• +3 more

Albert Hernansanz Prats is a Post-Doctoral Researcher and Lecturer at Universitat Pompeu Fabra (UPF), Barcelona, within the SIMBIOsys research group. He co-founded Surgitrainer, a spin-off company focused on hybrid minimally invasive surgical training and assessment platforms, which has secured multiple EU grants. His academic background includes a computer engineering degree from Universitat Autònoma de Barcelona (2003) and a Ph.D. from Universitat Politècnica de Catalunya (2016). His research focuses on advanced teleoperation systems, cognitive and cooperative control architectures for robotic systems, and multimodal user interfaces integrating virtual fixtures and augmented reality. He has contributed to numerous national and European research projects in medical robotics and intelligent systems (RMIS). As co-author of international patents and active in industry-academia collaboration, he bridges research innovation with practical applications in surgical training and robotics. His work emphasizes human-robot interaction and next-generation surgical technologies. Current affiliations include leading roles at Surgitrainer as CTO and academic contributions at UPF through teaching and research.

Doyoung ParkView profile

Assistant Professor

• Environmental Economics
• International Trade
• Public Policy
• +3 more

Doyoung Park is an Assistant Professor in the Department of Agricultural Economics at Texas A&M University's College of Agriculture & Life Sciences. His research focuses on environmental economics, international trade, and public policy, particularly exploring intersections between market structures, globalization, and sustainability. He holds a Ph.D. in Economics from the University of Colorado Boulder, following a B.A. and M.A. in Economics from Sogang University and the University of Colorado Boulder respectively. Education: B.A. Economics, Sogang University M.A. Economics, University of Colorado Boulder Ph.D. Economics, University of Colorado Boulder Research interests emphasize how economic policies and market dynamics influence environmental outcomes, including studies on electricity sector regulation, exchange rate impacts on pollution, virtual water trade dynamics, and central bank roles in climate policy. His recent work highlights regional disparities in environmental quality linked to trade and production networks. Publications span themes like regulatory policy design, monetary policy's environmental implications, and globalization's resource allocation effects. While no awards are explicitly listed, his work aligns with Texas A&M AgriLife's mission in agricultural and environmental research. Labs/Teams: Affiliated with Texas A&M AgriLife Research and the Department of Agricultural Economics, focusing on interdisciplinary sustainability studies.