جست‌وجوی استاد و پژوهشگر

• Security and Privacy
• Cyber-Physical Systems
• Machine Learning
• +۳ مورد دیگر

Yuan Tian is a Visiting Assistant Professor in the Department of Computer Science at the University of Virginia. His research focuses on security and privacy, with a particular emphasis on cyber-physical systems, machine learning applications in vulnerability detection, and human-computer interaction challenges in privacy preservation. He has collaborated with industry leaders such as Google, Facebook, Microsoft, Samsung, and others to address real-world security and privacy issues in mobile systems and IoT devices. His work spans theoretical frameworks for automated vulnerability repair to practical tools like AuthSaber for OAuth security verification. Key research areas include: Development of LLM-powered systems for vulnerability detection (e.g., VulBinLLM) Post-fuzzing analysis of firmware (FirmRCA) Privacy perception studies in smart environments (e.g., WiFi services and commercial buildings) Hardware/software co-design security for IoT His recent work bridges machine learning and cybersecurity, addressing threats in smart contracts, federated learning, and adversarial attacks. Notable contributions include frameworks for privacy-preserving inference in edge networks and sonar-based authentication systems for smart speakers. Awards and recognition: No specific awards listed, though his work has been widely adopted by industry partners. His research has been published in top-tier venues, including S&P, CCS, and IEEE S&P, reflecting its technical impact.

• Data Mining
• High-Performance Computing
• Bioinformatics
• +۷ مورد دیگر

Zina Ben Miled is an Associate Professor of Electrical and Computer Engineering at IUPUI and holds a courtesy appointment as Associate Professor of Chemical Engineering at Purdue University's Davidson School of Chemical Engineering. She has been affiliated with Purdue since 1997, holding degrees in Computer Engineering from Purdue (Ph.D., 1997; M.S., 1990) and Oregon State University (B.S., 1988). Her research focuses on data mining, high-performance computing, bioinformatics, and cheminformatics. Notable contributions include developing integrated systems for biological and chemical data (BACIIS), blockchain-based supply chain solutions, and machine learning models for water demand prediction and health surveillance. She has also pioneered educational models for digital system design courses. Her awards include the NSF Career Award (2002), Abraham Max Outstanding Research Award (2001), and Violet Haas Outstanding Academic Women Award (1996). She is an IEEE Senior Member and has led numerous industry-funded projects with Eli Lilly and the Office of Naval Research. Grants: Over 10 industry and federal grants as PI/Co-PI, including NSF, ONR, and Eli Lilly initiatives. Labs/Teams: Leads interdisciplinary teams in Purdue’s Chemical Engineering and IUPUI’s ECE departments, focusing on database systems, blockchain, and health informatics.

Sriram Vishwanathمشاهده پروفایل

دانشیار

• Information Theory
• Wireless Communications
• Coding Theory
• +۵ مورد دیگر

Dr. Sriram Vishwanath is an Associate Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin. He specializes in information theory, wireless communications, and coding theory with industry experience at National Semiconductor and Lucent Bell Labs. His research explores cutting-edge topics in full-duplex communication systems, blockchain technologies, machine learning applications, and network security. Education: B.Tech in Electrical Engineering from Indian Institute of Technology (IIT) Madras M.S. in Electrical Engineering from California Institute of Technology (CalTech) Ph.D. in Electrical Engineering from Stanford University Research Interests: Information Theory : Developing foundational principles for data transmission and compression Wireless Communications : Innovating full-duplex systems and interference management techniques Coding Theory : Designing robust error-correcting codes for modern networks Blockchain & DeFi : Applying game theory to decentralized financial systems Machine Learning : Exploring generative models, adversarial attacks, and compressed sensing Recent Research Trends: His work increasingly bridges theoretical foundations with practical implementations in areas like AI-driven signal processing, blockchain security mechanisms, and scalable network protocols. Notable contributions include full-duplex millimeter-wave systems and incentive-driven decentralized learning frameworks. Awards: NSF CAREER Award 2005 IEEE Joint IT/Comsoc Best Paper Award 2014 Longhorn Entrepreneurship Agency Entrepreneur of the Year Advising & Grants: Advises graduate students on interdisciplinary projects at the intersection of communications and AI. Actively secures NSF and industry grants for research in full-duplex radios and blockchain scalability. Labs/Teams: Leads research groups focused on next-generation communication systems and decentralized technologies within the UT Austin Electrical Engineering department.

Francisco Marmolejo Cossíoمشاهده پروفایل

استادیار

• Applied Modeling
• Algorithms
• Artificial Intelligence
• +۴ مورد دیگر

Francisco Marmolejo Cossío is an Assistant Professor of Computer Science at Boston College, effective January 2025. He concurrently serves as Director of Partnerships at the EAAMO research initiative, a Postdoctoral Fellow at Harvard's School of Engineering and Applied Sciences (SEAS), and a Research Fellow at Input Output Hong Kong. Previously, he held a Career Development Fellowship in Computer Science at Balliol College, University of Oxford. He earned a D.Phil. in Computer Science from Oxford and a B.A. in Mathematics from Harvard University with a minor in Neuroscience. His research focuses on applying algorithms, AI, and blockchain technology to address societal challenges in public health and financial access, particularly for underserved communities. He co-founded the EAAMO initiative to bridge academic and practical solutions for equity, leading projects like the Summer of Science program supporting indigenous female scholars in Mexico. Recent work includes developing AI strategies for San Luis Potosí's new AI/robotics campus and designing equitable testing protocols during the pandemic. Key awards include the 2024 Rising Star in MS&E (Stanford), a 2023 Excellence in Advising nomination, and a Sloan Foundation grant for EAAMO's 2023 conference. He teaches courses on Economics and Computation and has supervised over 20 student research projects across institutions.

Bart Preneelمشاهده پروفایل

استاد

• Cryptography
• Information Security
• Network Security
• +۸ مورد دیگر

Bart Preneel is a full professor in the Department of Electrical Engineering (ESAT) at KU Leuven within the Faculty of Engineering Science. He leads the Computer Security and Industrial Cryptography (COSIC) research group and serves as its contact person. His roles include President of the International Association for Cryptologic Research (IACR), co-founder and chairman of LSEC vzw, and Erasmus+ coordinator for the Electrical Engineering Department. He manages projects like ECRYPT II (2008-2013) and BCRYPT (2007-2011), and oversees COSIC’s participation in the IBBT (Interdisciplinary Institute for BroadBand Technology). Visiting professorships at Technical University Denmark, Ruhr Universitaet Bochum, Graz University of Technology, University of Bergen, and Universiteit Gent Research fellowship at University of California, Berkeley (1993–1994) Preneel’s research focuses on cryptographic algorithms and protocols, with applications in computer security, network security, and mobile communications. His interests include hash functions (e.g., RIPEMD-160), MAC algorithms (e.g., MDx-MAC), stream ciphers, and block ciphers. He explores topics like collision resistance, blockchain security, automotive systems, and privacy-preserving technologies such as federated learning and homomorphic encryption. His recent articles address cutting-edge challenges in machine learning security, embedded systems, and cryptocurrency. Notable trends include evaluating adversarial machine learning vulnerabilities, securing IoT devices against attacks, and analyzing blockchain protocols. These works emphasize practical implementations of cryptographic principles and interdisciplinary collaboration. Advising: Oversees 40 PhD students and researchers in COSIC Grants: Managed ECRYPT II, BCRYPT, and adapID (IWT-sponsored) He is affiliated with the COSIC research group and DigiSoc – KU Leuven Digital Society Institute. His projects include HERMES (privacy-enhancing vehicular systems) and Skye (secure communication protocols). COSIC organizes biennial summer schools, blending theoretical cryptography with industry applications from banking and telecommunications sectors.

• Wireless Networking
• 5G
• IoT
• +۳ مورد دیگر

Ren Ping Liu is a Professor and Head of Discipline for Networking and Cybersecurity at the University of Technology Sydney (UTS), School of Electrical and Data Engineering, within the Faculty of Engineering and Information Technology. He also leads the Global Big Data Technologies Centre (GBDTC). His roles include academic leadership, research, and industry collaboration. Education: Ren Ping Liu holds a PhD. Specific details of his academic qualifications are not explicitly provided in the text. His research focuses on wireless networking, 5G, IoT, robotics, cybersecurity, and blockchain technology. He has contributed to projects such as the award-winning BeFAQT system, which applies blockchain and IoT for fish provenance tracking. His work emphasizes practical solutions for government and industry, including cybersecurity and network reliability in 6G and O-RAN systems. NSW iAwards 2020 for the BeFAQT project Australian Engineering Innovation Award 2012 CSIRO Chairman’s Medal for contributions to the Wireless Backhaul project He has supervised over 30 PhD students, including Kai Wu, recognized for an outstanding thesis. Liu has secured over $5 million in research grants, leading 12 of 18 grants since 2016. Notable projects include the $50M Food Agility CRC initiative in digital agrifood technologies. Trusted Fish Provenance and Quality Tracking System (2019-2020) ASTRID - Advancing STEM, Technology Research, Innovation & Deployment (2023-2028) Liu’s work involves collaborations across academia and industry, including leadership roles in IEEE NSW VTS Chapter and founding Ultimo Digital Technologies, focusing on IoT and blockchain solutions.

Alexander Semenovمشاهده پروفایل

استادیار

• Network Science
• Social Media Analytics
• Algorithm Design
• +۷ مورد دیگر

Alexander Semenov is an Assistant Professor in the Department of Industrial & Systems Engineering at the University of Florida and serves as Assistant Director of the Center for Applied Optimization (CAO). He holds a Ph.D. in Computer Science from the University of Jyväskylä (2013). His research focuses span network science, social media analytics, algorithm design, large dataset analysis, optimization, and machine learning applications. University: University of Florida Department: Industrial & Systems Engineering Lab: Center for Applied Optimization (CAO) Academic Rank: Assistant Professor Email: asemenov@ufl.edu Office: REEF 132 Phone: (850) 833-9350 [Ext: 239] His recent publications demonstrate interdisciplinary applications of network science and machine learning in healthcare (AI-assisted EHR standardization, drug discontinuation detection), financial markets (P/E ratio forecasting, high-frequency trading impact analysis), art economics (color palette effects on painting prices, authorship analysis), and cybersecurity (key management in WSN). Current methodological work involves novel approaches to influence propagation modeling, change-point detection via MIP, and SAR image navigation systems. Research themes emphasize solving real-world problems through graph-based methodologies, deep learning, and optimization frameworks. His editorial roles include Associate Editor positions at the Journal of Combinatorial Optimization and IET Blockchain journal. Contact details available at REEF 132, University of Florida.

• Intellectual Property Law
• Competition Law
• Public Health Law
• +۵ مورد دیگر

Dr Sujitha Subramanian is a Senior Lecturer in Law and Associate Head of Department at the University of Liverpool's School of Law and Social Justice (part of the Faculty of Humanities and Social Sciences). She holds an LLM in International Trade and Finance Law from the University of Aberdeen and completed doctoral research on intellectual property rights at the University of East Anglia. Since 2008, she has been a full-time academic with extensive teaching experience across UK and international institutions including Bristol, Aberystwyth, and Wroclaw University. Her research focuses on intellectual property law's intersections with competition law, public health, cultural heritage, and emerging technologies. Key areas include IP and free speech, access to medicines, digital privacy, and AI governance. She currently serves on the European Public Health Association's Access to Medicines Working Group and the University of Liverpool's Central Research Ethics Committee since 2017. Professional roles include external examiner at Newcastle University, reviewer for British Council research programs, and advisor to the American Bar Association on free speech issues. She has held leadership roles such as Internationalization Coordinator at Liverpool and Deputy Director of Erasmus Study Programs at the University of Bristol. Teaching includes modules on intellectual property, competition law, and digital justice, with a focus on integrating research into pedagogy. Supervised PhD topics address blockchain in copyright, EU competition law privacy, and text/data mining challenges in IP frameworks.

• Blockchain & Distributed Ledgers
• Energy Management & Informatics
• Internet of Things (IoT)
• +۶ مورد دیگر

Dr. Vidy Potdar is an Associate Professor at Curtin University's School of Management and Marketing, part of the Faculty of Business and Law. He leads the Blockchain Research and Development Laboratory (BRDL), focusing on blockchain, AI, and IoT solutions for industry and government. Since 2019, his team has delivered eight blockchain projects across agriculture, sustainability, mining, healthcare, and supply chain sectors. He has secured over $12.6M in research funding, including an ARC Industrial Transformation Training Centre grant (2024). With 160+ publications and 20 PhD completions, Dr. Potdar is an active media contributor and YouTube personality. Education: PhD in Information Systems, Curtin University (2006) M.Tech in Information Technology, University of Newcastle (2002) B.Sc., Gujarat University (2001) Research Interests: Blockchain, Energy Informatics, IoT, Cybersecurity, and AI-driven solutions for supply chains, smart cities, and sustainability. His work emphasizes commercialization, with projects in mining, healthcare, and environmental sectors. Key Achievements: 8+ awards for research excellence and commercialization Guest Editor for IEEE Transactions on Industrial Informatics (IF 12.3) Collaborations with Natsoft Corporation, West Australian Police, and Digital Finance CRC Grants & Funding: ARC NOBEL Training Centre ($5M + $2.6M industry) Curtin Ignition Scholarship (2021) Curtinnovation Award (2021) Labs/Teams: Director of the Blockchain Research and Development Laboratory (BRDL), fostering industry partnerships to solve real-world challenges via blockchain and AI.

Balakrishnan Chandrasekaranمشاهده پروفایل

استادیار

• Networked Systems
• Blockchain Technology
• Cybersecurity
• +۳ مورد دیگر

Balakrishnan Chandrasekaran is an Assistant Professor in the Department of Computer Science at Vrije Universiteit Amsterdam, holding tenure-track status. He previously served as a Senior Researcher at the Max-Planck-Institut für Informatik in Saarbrücken, Germany. He earned his Ph.D. from Duke University in the United States. His research focuses on enhancing the performance and security of networked systems, with contributions spanning blockchain technology, latency reduction, and optical data center networks. Education: Ph.D. in Computer Science from Duke University (USA), followed by postdoctoral research at Max-Planck-Institut. His academic journey emphasizes both theoretical and applied networking challenges. Research Interests: Blockchain governance and transaction transparency Optimization of network congestion control (e.g., BBRv3) High-performance optical data center architectures Security implications of modern networking paradigms Recent work explores frameworks like Lighthouse for optical testbeds and analyses of blockchain transaction fairness. His publications address both foundational network principles and applied solutions for real-world systems. Teaching: Currently instructs courses on Network Security and Systems Seminar , integrating cutting-edge research into pedagogy. Labs/Teams: Leads projects in optical data center networking and blockchain security through collaborative frameworks like DEMO and VOXEL.

Siyu Liuمشاهده پروفایل

دانشیار

• Criminal Justice
• Data Science
• Risk Analysis
• +۴ مورد دیگر

Siyu Liu is an Associate Professor in the Department of Criminal Justice at Pennsylvania State University. She is affiliated with the Social Science Research Institute (SSRI) and the Population Research Institute (PRI), which receives funding from the Eunice Kennedy Shriver National Institute of Child Health and Human Development. Her research focuses on data-driven approaches in criminal justice, leveraging machine learning, social network analysis, and IoT technologies to address risk assessment, mobility patterns, and public policy challenges. Her work integrates interdisciplinary methods from computer science and statistics to analyze complex systems such as driver behavior, financial markets, and urban transportation. Key themes include anomaly detection, predictive modeling, and visual analytics applied to criminal justice contexts. Liu has published extensively on topics like telematics in insurance, cryptocurrency price forecasting, and social diffusion processes in networks. Her research demonstrates a focus on practical applications, including randomized field experiments in gamification and mobile advertising strategies. While no explicit awards are cited in the provided materials, her contributions span theoretical advancements and applied solutions in technology-enhanced justice systems.

Edwin Renمشاهده پروفایل

دانشیار

• Internet of Things
• 4G/5G Mobile Telecommunication Networks
• Cloud Computing
• +۸ مورد دیگر

Edwin Ren is an Associate Professor in the School of Computing Sciences at the University of East Anglia (UEA), UK. His research focuses on Internet of Things (IoT), 5G/6G networks, cloud computing, and cybersecurity. He holds a PhD in Information Communication Technology from the University of Agder, Norway, and has held postdoctoral positions at National Chiao Tung University, Taiwan. Ren is a member of the Cyber Intelligence and Networks and Data Science & AI groups at UEA. **Education**: - PhD in Information Communication Technology, University of Agder, Norway (2012) - Postdoctoral Fellow at National Chiao Tung University (2012–2017) **Research Interests**: - IoT and Smart Systems - Network Function Virtualization (NFV) and SDN - Blockchain-based Security Protocols - Mobile Edge Computing and 5G/6G Architectures - Privacy-Preserving AI and Federated Learning **Key Achievements**: - Best Paper Award at IEEE MDM 2012 - Active in interdisciplinary projects like the Training DIGIT initiative (EPSRC-funded) and Smart Environments Research Facility **Grants & Collaborations**: - EPSRC-funded projects on Digital Innovation and Cyber-Physical Systems - Royal Society-supported AIoT platform research **Labs/Teams**: - Leads the Cyber Intelligence and Networks research group at UEA - Involved in the Smart Environments Research Facility, a multidisciplinary EPSRC project

Junfeng Maمشاهده پروفایل

دانشیار

• Operations Research
• Data Analytics
• Sustainable Product/System Design
• +۴ مورد دیگر

Junfeng Ma is an Associate Professor and Graduate Coordinator in the Department of Industrial and Systems Engineering at Mississippi State University (MSU), part of the Bagley College of Engineering. He earned his Ph.D. in Industrial Engineering and Operations Research from Pennsylvania State University (2016), M.S. in Engineering Management from Wilkes University (2010), and B.S. in Mechanical Engineering and Automation from Xi’an Jiaotong University, China (2007). His research focuses on operations research, data analytics, and sustainable systems design, with applications in supply chain optimization, advanced manufacturing, and environmental engineering. Key research areas include: - Sustainable product/system design and life cycle assessment - Supply chain management and optimization under uncertainty - Integration of emerging technologies (VR, drones, blockchain) in healthcare and construction - Additive manufacturing and modular product design He is an active member of IISE, ASME, The Design Society, and ASEE. Notable honors include the ASME-DFMLC Scholar Award (2014, 2015). His work addresses real-world challenges like marine debris management, pandemic supply chain resilience, and virtual reality-based training solutions. Professional contributions include: - Development of stochastic optimization models for blood supply chains - AI-driven vehicle health monitoring systems - VR applications in nursing education and safety training - Collaborative robotics in construction and manufacturing Labs/Initiatives: Focuses on interdisciplinary projects blending engineering, data science, and sustainability. Active in MSU’s ISE Department’s research clusters on smart logistics and eco-design.

An Yanمشاهده پروفایل

استاد

• Financial Economics
• Economic Policy
• Corporate Finance

An Yan is The Robert Bendheim Chair Professor in Economics and Financial Policy and Professor of Finance at Fordham University's Gabelli School of Business. He serves as Area Chair for Finance and Business Economics and Co-Director of the Center for Research in Contemporary Finance. His research focuses on financial economics, economic policy, and corporate finance, with implications for market regulation and business strategy. His work addresses structural challenges in financial systems through quantitative analysis of market behaviors and policy impacts. Research spans risk assessment models, corporate governance, and emerging financial technologies. Recent publications demonstrate interdisciplinary work across computer science and medical genetics, though core focus remains financial systems. Articles show strong technical methodology with applications in cybersecurity, data integrity, and biomedical analytics.

Charan Gudlaمشاهده پروفایل

استادیار بالینی

• Cybersecurity
• Machine Learning
• Network Security
• +۲ مورد دیگر

Dr. Charan Gudla is a Clinical Assistant Professor in the Department of Computer Science and Engineering at Mississippi State University's Bagley College of Engineering. His research focuses on cybersecurity, machine learning applications in security, and emerging threats in networked systems. Research interests span cybersecurity, artificial intelligence, cloud security, and network defense with applications in malware detection, DDoS mitigation, and secure infrastructure development. Publications focus on cybersecurity applications of machine learning, including malware detection, network defense, blockchain security, and emerging attack vectors. Recent work explores deep learning in healthcare security, cloud-based DDoS detection, and infrastructure resilience. Active in science communication through cybersecurity news platforms, covering topics including malware analysis, data breaches, AI security implications, and emerging cyber defense technologies.