Find Academic Supervisors

• Blockchain
• Cybersecurity
• Distributed Systems
• +5 more

Roberto Zunino is an Associate Professor in the Department of Mathematics at the University of Trento, specializing in blockchain technologies, formal methods, and distributed systems. His research bridges theoretical computer science with practical cryptographic applications, particularly in Bitcoin and smart contract ecosystems. His research interests focus on blockchain security , smart contract formalization , and probabilistic verification . Key areas include MEV (Maximal Extractable Value) theory, UTXO-based smart contracts, and computationally sound tokenization. His work combines rigorous mathematical modeling with real-world protocol analysis, emphasizing security guarantees through formal methods. Recent publications demonstrate a strong trend toward theoretical foundations of blockchain economics and security. His 15 most recent papers (2020-2025) analyze MEV formalization, Bitcoin contract liquidity, UTXO scalability, and smart contract language design, revealing deep integration of type theory, game theory, and cryptographic primitives. Zunino actively teaches courses including Informatics , Interactive Theorem Proving (using Lean 4), and Computer Tools for Mathematics . His educational focus emphasizes formal verification, imperative programming foundations, and mathematical logic applications in computer science.

• Sustainable Operations
• Circular Supply Chains
• Multi/Omni-channel Distribution
• +4 more

Dr. Nail Tahirov is an Assistant Professor in Operations & Supply Chain Management at Durham University Business School. His academic expertise spans sustainable operations, circular supply chains, and process optimization in manufacturing and service sectors. PhD in Production & Supply Chain Management (Technical University of Darmstadt) Postdoctoral research at University of Zurich's Sustainable Operations Management Chair Research Focus: Nail Tahirov specializes in applying management science techniques to address challenges in internal logistics, scheduling optimization, and e-commerce operations. His work bridges theoretical operations management with practical consultancy projects across industries. Publications Trends: His scholarly output concentrates on supply chain network design, last-mile logistics, demand forecasting models, and workforce optimization strategies. Recent papers explore retailer-manufacturer dynamics, vehicle routing in reverse logistics, and perishable product forecasting. Contributions: Published in top-tier journals including European Journal of Operational Research , INFORMS Journal on Applied Analytics , and International Journal of Production Economics , with a particular emphasis on sustainable operations and technological integration in supply chains.

Edward J CoyleView profile

Professor

• Computer Networks
• Sensor Networks
• Signal Processing
• +6 more

Edward J Coyle is a Professor at Georgia Institute of Technology's College of Engineering , holding the Arbutus Chair for the Integration of Research and Education and serving as Director of the Arbutus Center for the Integration of Research and Education. Education: B.S. in Electrical Engineering from University of Delaware (1978) M.S. and Ph.D. in Electrical Engineering and Computer Science from Princeton University (1980, 1982) Research Interests: Coyle's work bridges Computer Networks , Sensor Networks , and Signal Processing with a groundbreaking focus on Engineering Education innovation. His Vertically Integrated Projects (VIP) and EPICS programs revolutionized project-based learning by integrating undergraduate and graduate research while addressing community needs through engineering solutions. Notable Scientific Contributions: His academic output demonstrates a clear trajectory from technical work in Wireless Sensor Networks and Cognitive Radio to pioneering Education Reform frameworks. The 2025 articles highlight systemic education transformation and smart stadium testbeds, while 2024 publications quantitatively analyze interdisciplinary learning dynamics. Major Awards: IEEE Fellow (1998) National Academy of Engineering Gordon Prize (2005) ABET Innovation Award (2019) Georgia Regents Excellence in High Impact Practices (2025) Stony Brook Civic Engagement Award (2018)

Philippe CiblatView profile

Professor

• Statistical Signal Processing
• Digital Communications
• Resource Allocation
• +6 more

Philippe Ciblat is a Full Professor at Institut Polytechnique de Paris , affiliated with the Communications and Electronics Department (Comelec) and the Information Processing and Communication Laboratory (LTCI) . He obtained his Engineering Degree from Télécom Paris (1996), DEA in Automatic Control from Université Paris-Saclay (1996), PhD from Université Gustave Eiffel (2000), and HDR diploma (2007). After a postdoctoral fellowship at Université de Louvain (2001), he joined Télécom Paris as Associate Professor in 2001 and was promoted to Full Professor in 2011. Research Activities: His research spans three core areas: Statistical/Digital Signal Processing (blind equalization, frequency estimation, distributed estimation) Signal Processing for Communications (OFDM synchronization, UWB localization, cooperative communications) Resource Allocation (HARQ optimization, power allocation, distributed networks) Scientific Leadership: He has served as Associate Editor for IEEE Transactions on Signal and Information Processing over Networks (2018-2022), Senior Area Editor for IEEE Transactions on Signal Processing (2011-2012), and held editorial roles in IEEE Communications Letters and Transactions on Signal Processing. He chairs technical committees at EUSIPCO, SPAWC, and IEEE conferences. PhD Supervision: He has mentored 23 PhD students, including Current: Nils Reynaud (deep reinforcement learning for wind farms), Abdelghani Ghanem (multi-agent driving behavior), Sylvain Nerondat (deep reinforcement learning for ad hoc networks) Former: Yue Bi (distributed computing), Hakim Hafidi (robust graph ML), Arthur Louchart (nonlinear satellite systems), Vincent Corlay (lattice decoding), Alix May (optical network monitoring) Grants & Collaborations: Currently leads projects with TotalEnergies (2025-2028), PEPR Twinfarms (2025-2028), and ANR SUCCEN (2025-2027). Formerly secured ANR, Marie-Curie, and CIFRE grants with Thales, Nokia, Mitsubishi, and Huawei. Labs & Teams: Affiliated with LTCI (Signal, Statistics and Learning team) and has conducted sabbaticals at Technische Universität Berlin, Rutgers University, and Universidad Nacional de Colombia. Actively participates in international conferences as TPC member and reviewer.

Guillaume DucView profile

Associate Professor

• Embedded Systems Security
• Hardware/Software Interaction
• Side-Channel Attacks
• +3 more

Guillaume Duc is an Associate Professor (Maître de Conférences) at Télécom Paris , affiliated with the Information Processing and Communication Laboratory (LTCI) and the Department of Computer Science and Networks . His research focuses on embedded systems security, particularly hardware/software interaction, side-channel attacks, and resilient architectures. Education: PhD in Hardware, Software and Cryptographic Support for Secure Process Execution , École Nationale Supérieure des Télécommunications de Bretagne (2007) Master's (DEA) in CryptoPage – an architecture to run secure processes , Université de Rennes 1 (2004) Research Interests: His work spans embedded systems security , with a focus on: Hardware/Software Interaction: Exploring vulnerabilities and defenses at the intersection of hardware and software. Side-Channel Attacks: Investigating power analysis, electromagnetic attacks, and countermeasures, including organizing the DPA Contest . Resilient Architectures: Designing secure memory architectures, FPGA-based protections, and cloud-embedded system trustworthiness. Publications & Patents: He has published extensively in top-tier venues such as Journal of Cryptographic Engineering , ACSAC , and CARDIS , with recent works addressing AI-driven automotive security (2024) and system cost-optimization for security (2019). He holds multiple patents in non-intrusive fault detection and secure electronic component monitoring. Teaching & Leadership: Academic lead for the engineering program at Télécom Paris. Responsible for courses like INF107: From Logic Gates to Operating Systems and SE203: Microprocessor System Tools . Co-instructor for Rust programming modules in executive education. Labs & Teams: He leads research within the Autonomous Critical Embedded Systems (ACES) team at LTCI, collaborating on secure embedded systems for automotive and cloud applications.

KRASEN KIROV ANGELOVView profile

Professor

• Wireless Communication Systems
• 5G Networks
• Internet of Things (IoT)
• +7 more

Krassen Kirov Angelov is a full professor at the Department of Communication Equipment and Technologies within the Faculty of Electrical Engineering and Electronics at Technical University - Gabrovo . He has led and participated in 15 research projects, focusing on wireless communication platforms, IoT systems, and optical network optimization. Head, Department of Communication Equipment and Technologies Project Manager for 5G/IoT research (2022) Co-author of 3 textbooks on communication circuits Research Interests include: 5G network design and optimization IoT communication protocols Optical network modeling Secure data transmission Satellite broadcasting systems Smart infrastructure development His recent publications (2021-2025) demonstrate expertise in: Chaotic encryption techniques Neural network applications LoRaWAN coverage planning DVB-S2 signal transmission Passive optical network modeling Radio frequency optimization PhD Students : Plamen Tashev (Radio Channel Monitoring) Mikhail Angelakis (Wireless Resource Management) Victor Krustev (Security Identification) Ivan Zlatev (Network Resource Allocation) Evelina Vaseva (Beekeeping Monitoring)

Manuel EgeleView profile

Associate Professor

• Software Security
• Cybersecurity
• Embedded Systems Security
• +4 more

Manuel Egele is an Associate Professor at Boston University’s Department of Electrical and Computer Engineering and co-leads the Secure Systems Lab , a member of the International Secure Systems Lab. His work bridges software, systems, and embedded/mobile security with a focus on privacy. His recent research trends include IoT kernel module analysis ( FirmSolo ), PHP web application debloating ( Minimalist ), and fuzzing innovations ( MORPHUZZ , ThreadLock ). He explores microarchitectural vulnerabilities, denial-of-service detection, and hardware-assisted security mechanisms, often publishing in top venues like USENIX Security , NDSS , and ACM CCS . Egele actively contributes to academic service as an area chair, poster chair, and committee member for conferences such as IEEE Oakland, USENIX Security, and NDSS. He teaches courses like EC440: Operating Systems , EC521: Cyber-Security , and EC700: Vulnerability and Malware Defense , emphasizing practical security education.

Nail TahirovView profile

Research Fellow

• Sustainable Operations Management
• Circular Economy
• Supply Chain Network Design
• +2 more

Nail Tahirov is a Postdoctoral Research Fellow at the Sustainable Operations Management Chair within the Department of Business Administration at the University of Zurich. He is affiliated with the Faculty of Business, Economics and Informatics and contributes to the Digital Society Initiative (DSI) communities, including those focused on Sustainability and Work. His research interests include: Sustainable operations management Circular economy practices Multi/omni-channel distribution systems Supply chain network design Contact: nail.tahirov@business.uzh.ch

• Online marketing
• Ecommerce & digital transformation
• Pricing & marketing strategy
• +5 more

Mario Capizzani serves as Senior Lecturer in the Marketing Department at IESE Business School, where he teaches across multiple programs including Executive Education, MBA, and Global Executive MBA. He currently holds the position of Co-Academic Director for the PDD program and International In-Company programs. Ph.D. in Business Administration (Marketing), University of California Berkeley MBA, IESE Business School, University of Navarra Master of Science in Mechanical and Aerospace Engineering, Arizona State University Bachelor of Science in Mechanical Engineering, Calvin College Capizzani's research focuses on behavioral and experimental economics with applications in online marketing, pricing, digital commerce, customer management, and marketing strategy. His work examines how consumers make decisions in digital environments, with particular attention to pricing strategies, online reviews, and digital transformation. His doctoral dissertation centered on pricing and auction mechanisms, establishing the foundation for his ongoing research in consumer decision processes. His publication portfolio demonstrates a consistent focus on consumer behavior in digital contexts, with recent work addressing online reviews, inbound marketing, and mobile marketing strategies. His research appears in reputable journals including The Journal of Retailing and the Journal of the Association for Consumer Research, while his practical insights have been featured in IESE Insight, Harvard-Deusto, and Forbes Magazine. His case studies, particularly the Gillette series published in 2024, reflect his engagement with current marketing challenges faced by major consumer brands. Capizzani has also authored numerous business cases and technical notes that serve as teaching tools across business schools worldwide, demonstrating his commitment to bridging academic research with practical business applications. Since joining IESE Business School in 2002, Capizzani has maintained an active consulting practice alongside his academic work, serving clients in retail, e-commerce, FMCG, advertising, and professional services sectors. Prior to his academic career, he worked as a consultant at McKinsey & Company, as a senior marketing analyst in the telecom industry, and as an engineer in the automotive sector, giving him a diverse professional background that informs his teaching and research.

• Agricultural Economics
• Development Economics
• Index Insurance
• +4 more

Ella Kirchner is a Research Associate in the Department of Agricultural and Applied Economics at Virginia Tech, specializing in the integration of earth observation and crop modeling for agricultural financing solutions. Affiliated with NASA Harvest, she advances remote sensing applications for global food security and agricultural resilience through international collaborations. Her educational credentials include: M.Sc. in Bioeconomy from the University of Hohenheim (2021) M.Sc. in Agricultural Economics from the University of Hohenheim (2021) B.A. in Business Administration from Berlin School of Economics and Law (2017) Kirchner's research examines socioeconomic dimensions of agricultural index insurance, with fieldwork in Mali analyzing adoption dynamics, gender norms, and mobile-delivered insurance systems. Her technical work focuses on index design using remote sensing data to improve insurance accuracy for smallholder farmers, bridging development economics with precision agriculture. Recent publications (2023-2024) reveal three dominant research trajectories: conflict-affected agricultural systems (land use under terrorism), digital innovation in microinsurance delivery, and spatial optimization of insurance zones. These studies employ mixed methods including discrete choice experiments, geospatial analysis, and replication studies across West Africa. Her contributions have been recognized with: Best Ph.D. presentation award at the AES annual conference, UK (2023) Graduate Student award for best master's degree, University of Hohenheim (2022) Kirchner's advisory capacity includes World Bank consultancy (2021-2024) on agricultural risk financing and research leadership at Göttingen University. Current projects with NASA Harvest develop data-driven frameworks for responsive social protection programs, supported by international research grants focusing on climate resilience. As a core NASA Harvest collaborator, she coordinates cross-institutional teams spanning USDA, universities, and global development agencies to operationalize satellite data for real-time agricultural decision support systems.

• Blockchain Technology
• Non-Fungible Tokens (NFTs)
• Computer Networks
• +7 more

Shital Joshi is a Teaching Associate Professor in the Department of Computer Science at Oklahoma State University. Her academic career spans roles as a Teaching Assistant Professor (2019–2025) and current position since July 2025. She holds a Ph.D. in Computer Engineering from the University of North Texas (2016). Her research focuses on blockchain technologies, NFT performance modeling, IoT security, energy-efficient networks, and nanoelectronic circuit design. Her work bridges theoretical models with practical implementations, including adaptive blockchain systems, secure telemedicine frameworks, and graphene-based SRAM optimization. Notable contributions include bivariate performance models for NFT chains and energy-efficient routing protocols for wireless sensor networks. She actively participates in academic service, such as the 2023 ABET Symposium. Joshi teaches core computer science courses like Operating Systems, Data Structures, and Computer Systems, emphasizing hands-on learning. Her teaching spans from foundational courses (e.g., Computer Proficiency) to advanced topics (e.g., Memory Management in OS Design).

Seunghee ShinView profile

Assistant Professor

• Computer Architecture
• Computer Systems
• Emerging Technologies
• +3 more

Seunghee Shin is an Assistant Professor at the Department of Computer Science within the School of Computing at SUNY Binghamton. He holds a PhD from North Carolina State University (2018), an MS in Computer Science from Northeastern University (focusing on computer networks), and a BS in Computer Engineering from Myongji University, South Korea. His research focuses on advancing computer architecture and systems, particularly exploring how emerging technologies influence memory systems. Notably, he received the NSF CAREER Award for research addressing faster cloud computing. With over five years of industry experience in system software development for mobile and storage systems, he bridges academic innovation with practical implementation. Currently, he is actively hiring PhD students to contribute to his research endeavors. Education: PhD, Electrical and Computer Engineering, North Carolina State University (2018) MS, Computer Science, Northeastern University BS, Computer Engineering, Myongji University Research Interests: Dr. Shin’s work centers on optimizing memory systems through novel architectures, including studies on non-volatile memory (NVM), GPU memory management, and serverless computing efficiency. His investigations into device-driven security vulnerabilities (e.g., IOMMU side-channel attacks) highlight a commitment to safeguarding modern computing systems. Key themes include: Emerging memory technologies and their integration Performance optimization in cloud/serverless environments Hardware-software co-design for latency reduction Awards: NSF CAREER Award (2024): Funds research into scalable serverless computing frameworks Advising & Grants: Dr. Shin oversees student research into cutting-edge memory systems and collaborates with industry on storage system development. While specific grant details are not listed, his NSF award underscores sustained external funding. Labs/Teams: His research group focuses on interdisciplinary projects at the intersection of architecture, systems, and security, leveraging SUNY Binghamton’s resources for experimental validation.

Olufemi OdegbileView profile

Assistant Professor

• Network Algorithms
• Data Streaming
• Traffic Measurement
• +2 more

Olufemi Odegbile is an Assistant Professor in Computer Science at Clark University, specializing in network algorithms and distributed systems. His research develops novel solutions for traffic measurement and data streaming in high-speed networks. Recent work focuses on virtual filtering techniques for non-duplicate sampling, super spreader identification, and noise reduction in streaming algorithms. He investigates hierarchical approaches to network monitoring that optimize memory allocation while maintaining measurement accuracy. His publications demonstrate consistent innovation in adapting probabilistic data structures like Bloom filters and CountMin sketches for modern networking challenges. Experimental validations frequently address real-world constraints in edge-cloud computing environments and legacy network infrastructures.

Michael O'NealView profile

Professor

• Geomorphology
• Climatic Processes
• Geologic Processes
• +7 more

Michael O'Neal is a Professor in the Department of Earth Sciences at the University of Delaware, affiliated with the College of Earth, Ocean & Environment and the Delaware Environmental Institute (DENIN). His research focuses on geomorphology , examining how Earth's surface evolves through climatic, geologic, and anthropogenic processes across diverse timescales. Ph.D., University of Washington (2005) Using advanced technologies like laser mapping systems and remotely sensed imagery , he investigates phenomena including: Alpine permafrost dynamics in the Dry Andes Fluvial erosion patterns in the South River and White Clay Creek Sediment transport mechanisms in mid-Atlantic and Andean regions Time-dependent degradation of earthworks and archaeological features Groundwater behavior in high-altitude hydrologic systems His recent publications emphasize LiDAR applications for erosion monitoring, permafrost modeling , and climatic controls on geomorphic processes . While no scientific awards are explicitly mentioned, his work spans interdisciplinary collaborations with environmental and archaeological teams. Contact: oneal@udel.edu .

Xiao Feng QiView profile

Research Professor

• Wireless Communication
• Signal Processing
• MIMO Systems
• +3 more

Xiao-Feng Qi is a Research Professor at the Department of Electrical and Computer Engineering at the University of Delaware. His career spans over three decades in corporate R&D, including leadership roles at Intel, Broadcom, and Futurewei, focusing on wireless communication systems such as DSL, Wi-Fi, LTE, and 5G. He holds a PhD in Electrical Engineering from the University of Connecticut (1992) and a BS from Jiao Tong University (1985). Dr. Qi's research emphasizes full-stack, multidisciplinary approaches to wireless signal processing, with a focus on adaptive algorithms, MIMO systems, millimeter-wave communication, and distributed network architectures. His work addresses challenges in dynamic radio environments, including interference mitigation, channel reconstruction, and hybrid beamforming. His recent publications highlight advancements in reconfigurable intelligent surfaces, phased array systems, and resolution-optimized massive MIMO networks. Collaborative efforts with academia and industry have driven innovations in 4G/5G infrastructure and beyond-5G technologies. His technical leadership includes managing graduate intern programs and university partnerships. Key technical contributions span signal processing architectures, SAR ADC optimization, and photonic implementations for RF systems. He has pioneered opto-electronic solutions for multi-band phased arrays and developed novel channel modeling techniques for distributed MIMO systems.