Find Academic Supervisors

• Water Resources Engineering
• Environmental Engineering
• Groundwater Contamination
• +3 more

Dr. George Korfiatis is the McLean Chair Professor of Environmental Engineering at Stevens Institute of Technology, holding appointments since 1990. He served as Stevens' Provost (2006-2016) and Dean of the Charles V. Schaefer School of Engineering (2002-2006). He earned his PhD in Water Resources/Environmental Engineering from Rutgers University (1984) after completing BS (1978) and MS (1980) degrees in Civil Engineering there. His research focuses on water resources engineering, geohydrology, and environmental remediation, with contributions to nanotechnology-based water treatment systems. He pioneered technologies like titanium dioxide-based filtration and plasma decontamination, resulting in 8 US patents. His work emphasizes industrial resilience, having led $50M+ research programs at Stevens' Center for Environmental Engineering, which he founded in 1987. Dr. Korfiatis is a Fellow of the National Academy of Inventors and has been honored with three honorary doctorates, including from Stevens (2011) and Aristotle University (2011). He co-founded PlasmaSol Corp and HydroGlobe LLC, which were acquired by Fortune 500 companies. His leadership roles include chairing Defense Department panels on environmental strategies and international conferences on environmental protection. Key contributions include developing SCWO safety protocols for chemical agent disposal and advancing phosphate-mediated lead immobilization techniques. His 200+ publications span water treatment innovations, geotechnical systems optimization, and sustainable infrastructure projects. Current work addresses net-zero technologies for military facilities and AI-driven sustainable project evaluation.

• Coastal Engineering
• Coastal Hazards
• Numerical Modeling
• +3 more

Matthew Janssen is a Research Assistant Professor at the Department of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology. His research focuses on coastal hazards, littoral processes, and developing computationally efficient models to assess risks to coastal infrastructure using field observations, numerical modeling, and data-driven techniques. He holds a PhD (2022), MS (2016), and BS (2011) in Ocean Engineering from Stevens Institute of Technology and the University of Rhode Island, respectively. His work emphasizes understanding storm erosion potential, dune performance under climate change scenarios, and the impact of coastal structures. Notable contributions include methodologies for quantifying storm erosion considering sea level rise and probabilistic forecasting of coastal storm impacts. He currently serves as Assistant Director of the NJ Coastal Protection Technical Assistance Service and has prior industry experience with firms like Rising Tide Waterfront Solutions and McLaren Engineering Group. Key Research Areas: Coastal resilience, numerical modeling, climate adaptation, dune dynamics, sediment transport. Recent Focus: Long-term dune performance under extreme and nuisance erosion events; integration of machine learning (CART models) for erosion prediction. Publications highlight his work on hurricane impacts, breakwater effectiveness, and navigation channel management. He received the John P. Breslin Award (2022) and is active in professional societies like ASBPA and COPRI. His technical reports include analyses of New Jersey beach sediment characteristics and shoreline impacts at North Wildwood. He collaborates on projects balancing engineering solutions with ecological and economic considerations.

Heidar A. MalkiView profile

Professor

• Control Systems
• Digital Signal Processing
• Applied Neural Networks
• +7 more

Heidar A. Malki is a Professor of Engineering Technology and Senior Associate Dean of the Technology Division at the Cullen College of Engineering, University of Houston (UH). He holds a joint appointment in the Electrical and Computer Engineering Department and has over three decades of academic and research experience. He earned his Ph.D. in Electrical Engineering from the University of Wisconsin-Milwaukee (1990). His roles include Department Chair (2009–present) and Associate Dean for Research (2004–2009). He is a Senior Member of IEEE and serves as an Associate Editor for the IEEE Transactions on Fuzzy Systems. Education: Ph.D. in Electrical Engineering, University of Wisconsin-Milwaukee (1990) M.S. in Electrical Engineering, University of Wisconsin-Milwaukee (1985) B.S. in Electrical Engineering, University of Wisconsin-Milwaukee (1983) Research Interests: Dr. Malki specializes in control systems, neural networks, fuzzy logic, and smart grid optimization. His work bridges academic research with industrial applications, particularly in the energy and telecommunications sectors. Notable areas include neuro-fuzzy controllers, power system dynamics, and cyber-security for critical infrastructure. He has collaborated with organizations like Southwestern Bell and the oil/gas industry on neural network applications. Publications & Awards: With over 100 publications, Dr. Malki’s work spans journals like IEEE Transactions on Fuzzy Systems and International Journal of Bifurcation and Chaos . His awards include the Fluor Daniel Outstanding Faculty Award (2001, 2003) and recognition in Who's Who in America . He has authored textbooks on control systems and contributed to academic volumes on fuzzy logic applications. Grants & Leadership: He secured funding for initiatives like the Houston Information Technology Workforce Certification Center and led conferences such as the 1997 IEEE International Conference on Neural Networks. His educational contributions include pioneering web-based control systems laboratories and interdisciplinary graduate programs in technology. Labs & Teams: His research teams focus on advanced wireless sensor networks, mechatronics, and energy system optimization. Collaborations extend to NASA and the U.S. Department of Energy, emphasizing applied engineering solutions for real-world challenges.

Nur Imtiazul HaqueView profile

Visiting Assistant Professor

• Cybersecurity
• Machine Learning
• Formal Methods
• +3 more

Nur Imtiazul Haque is a Visiting Assistant Professor at the University of Cincinnati's School of Information Technology within the College of Education, Criminal Justice, and Human Services (CECH). He holds a Ph.D. and M.Sc. in Electrical and Computer Engineering and Computer Engineering from Florida International University, USA, and a B.Sc. in Computer Science and Engineering from Khulna University of Engineering and Technology (Bangladesh). Previously, he served as a lecturer at Daffodil International University and a graduate research assistant in the Analytics for Cyber Defense lab, where he contributed to NSF and DOE projects. His research focuses on securing cyber-physical systems through formal methods, machine learning, and mathematical optimization, particularly in smart healthcare, smart homes, and industrial IoT. He has published 12 peer-reviewed papers, one book chapter, and patented a tool. Notable achievements include the Best Paper Award at IEEE/IFIP DSN 2023 and the Dissertation Year Fellowship Award. Dr. Haque has organized the International Workshop on AIOTS as publication chair and is an active IEEE member. His work addresses critical infrastructure vulnerabilities, with contributions to frameworks like SHATTER, PHASE, and iDDAF for detecting and mitigating advanced cyber threats.

Visham RamsurrunView profile

Senior Lecturer

• Cybersecurity
• Internet of Things (IoT)
• Network Security
• +7 more

Visham Ramsurrun is a Senior Lecturer and Programme Coordinator of the MSc Cyber Security programme at Middlesex University Mauritius. He holds a Ph.D. and B.Sc. in Computer Science & Engineering from the University of Mauritius, and a Postgraduate Certificate in Higher Education from Middlesex University (UK). His research focuses on cybersecurity, IoT, network design, machine learning, and smart agriculture. Education: Ph.D. in Computer Science & Engineering (2007-2010), University of Mauritius Postgraduate Certificate in Higher Education (2017-2018), Middlesex University (UK) BSc (Hons) Computer Science & Engineering (2000-2003), University of Mauritius Research interests include: Cybersecurity frameworks for IoT and autonomous systems Blockchain applications in healthcare and data management Network defense mechanisms (e.g., SDN-based moving target defense) Energy-efficient sensor networks and transmission optimization Smart agriculture systems and environmental monitoring Recent publications emphasize cybersecurity in autonomous vehicles, IoT-enabled healthcare systems, and sensor-based home security solutions. He has secured grants from the Mauritius Research and Innovation Council (MRIC) and collaborates with industry partners on innovation projects. His work includes developing augmented reality control platforms and low-cost air quality monitoring systems. As a member of the IPv6 Forum Mauritius, he advocates for network architecture advancements. His research spans academic collaborations across disciplines, with a focus on underserved regions' technological challenges.

Giridhar Reddy BojjaView profile

Assistant Professor

• Business Analytics
• Machine Learning
• Deep Learning
• +7 more

Giridhar Reddy Bojja is an Assistant Professor of Information Systems & Analytics at the College of Business, Michigan Technological University. His academic office is located in Academic Office Building G018. He holds a strong focus on interdisciplinary research and teaching in data-driven fields. Research Interests: Information Systems Capabilities and Firm Performance Social Media Analytics and Healthcare Applications Econometric Modeling in Technology Impact Design Science Research Methodologies Teaching Specializations: Business Analytics (ML, DL, Text Mining) Generative AI and Its Applications Management Science and Social Network Analysis Research Themes: His work spans AI-driven IoT security frameworks, healthcare data analytics, blockchain-enabled healthcare systems, and organizational impact of IT investments. Recent projects include predictive models for patient outcomes and frameworks for resilient IoT networks. Professional Background: His research has been published in top-tier journals and conferences, with a focus on healthcare IT, cybersecurity, and AI applications. He actively contributes to both theoretical and applied research in information systems.

Sara BaldoniView profile

Assistant Professor

• Communication Security
• Navigation and Localization Systems
• Multimedia Content Processing
• +6 more

Sara Baldoni is a non-tenured Assistant Professor at the Department of Information Engineering, University of Padova. She holds a Ph.D. in Applied Electronics from Roma Tre University (2018–2021) and was a Post-Doctoral researcher there until February 2023. Her research focuses on communication security, navigation systems, and multimedia processing, with a strong emphasis on GNSS, Cyber-Physical Systems (CPS), and sensor fusion. Education: Bachelor in Electronics Engineering (2016, Roma Tre University) Master in ICT Engineering (2018, Roma Tre University) Ph.D. in Applied Electronics (2021, Roma Tre University) Research interests include anomaly detection in CPS, GNSS integrity enhancement, and VR/AR applications. She leads projects such as ISEEYOO (CPS anomaly detection), RAILGAP (rail positioning via GNSS), and INSECTT (secure IoT-AI systems). Her work integrates machine learning, signal processing, and cybersecurity to improve system resilience and user experience in critical infrastructure and immersive technologies. Notable contributions include frameworks for GNSS imaging fusion, context-aware security, and VR saliency modeling. Ongoing projects emphasize rail safety (VOLIERA, RAILGAP) and AI-driven anomaly detection (ISEEYOO).

Fikret BasicView profile

Researcher

• Battery Management Systems
• Wireless Communication Security
• Embedded Systems
• +3 more

Fikret Basic is a researcher at the Institute of Technical Informatics at TU Wien, specializing in cybersecurity for embedded systems and battery management systems (BMS). His work focuses on integrating RFID, NFC, and secure communication protocols into industrial and automotive applications. He has led/co-led multiple EU-funded projects including SPiDR, OPEVA, and Intelligent & Networked Embedded Systems. Basic has published extensively at IEEE conferences and received awards such as Scientist of the Year 2024 and AVL Hans List Fonds Preis 2023. His contributions span secure data acquisition, wireless BMS architectures, and authentication mechanisms for IoT devices. Research interests include: Battery Management Systems, Cybersecurity for Industrial Networks, RFID/NFC Applications, Embedded System Security, and IoT Architecture Design. He actively participates in workshops like SPICES 2024 (as Chair) and peer reviews for conferences like EuroPLoP. Basic holds a Dipl.-Ing. (Diploma in Engineering) and a Dr.techn. (Technical Doctorate) in electrical engineering. Projects: SPIDR2 (2025-2028), OPEVA (2023-2025), SPiDR (2021-2024) Grants: AVL Hans List Fonds, Austrian Research Promotion Agency Labs/Teams: Member of TU Wien's Embedded Systems Security Group, collaborates with industrial partners like AVL List GmbH Media engagements include a TV interview in Bosnia discussing academic career paths and a feature in Kleine Zeitung highlighting IT talent development.

Jianying ZhouView profile

Professor

• Applied Cryptography
• Network Security
• Cyber-Physical System Security
• +5 more

Jianying Zhou serves as Professor and Centre Director at Singapore University of Technology and Design (SUTD), leading the iTrust Centre for Research in Cyber Security. He holds a PhD in Information Security from Royal Holloway, University of London and maintains active leadership roles including co-founding ACNS, chairing ACM AsiaCCS steering committee, and serving on Asiacrypt steering committee. PhD in Information Security, Royal Holloway, University of London His research spans applied cryptography, cyber-physical systems security, and mobile/wireless security with emphasis on industrial control systems, blockchain, and automotive networks. Recent work focuses on practical security solutions for critical infrastructure including maritime systems, smart grids, and IoT ecosystems, combining cryptographic innovation with real-world deployment challenges. Analysis of his 2025 publications reveals concentrated efforts in blockchain security (selfish mining, payment channels), industrial IoT protection (PLC authentication, CAN bus intrusion detection), and privacy-preserving machine learning (federated learning attacks/defenses). Maritime cybersecurity and automotive security represent rapidly growing application domains reflecting real-world critical infrastructure needs. Scientific recognition includes: ESORICS Outstanding Contribution Award (2020) ACM Distinguished Member status As iTrust Centre Director, Zhou oversees multi-institutional research teams developing security frameworks for critical infrastructure. While specific student advising details aren't public, his leadership in major conferences indicates extensive mentorship activities. His research program demonstrates strong industry collaboration focus with practical security implementations for maritime, healthcare, and industrial systems. iTrust operates as SUTD's flagship cybersecurity research center under Zhou's direction, bringing together interdisciplinary teams to address cyber-physical security challenges through testbed development, protocol design, and risk assessment frameworks for critical infrastructure protection.

Wang FengjiaoView profile

Assistant Professor

• Machine Learning
• Data Mining
• Social Network Analysis
• +3 more

Wang Fengjiao is an Assistant Professor and Lecturer at the Kahlert School of Computing, University of Utah. Her research focuses on machine learning, data mining, and social network analysis, with notable contributions to semi-supervised learning, generative models, and social media analysis. She holds a position in one of the founding institutions of the internet (ARPANET), leveraging computational advancements for interdisciplinary challenges. Her work spans theoretical innovations and applied systems, including algorithms for tabular data, image generation via Fréchet distance minimization, and probabilistic text recommendation models. Recent trends in her publications emphasize scalable learning frameworks, spatial-temporal event modeling, and privacy-preserving techniques in multi-platform social networks. Wang's research has addressed challenges such as user geolocation inference, collaborative co-clustering in heterogeneous data, and steering information diffusion under attention constraints. Her contributions to content-aware POI recommendations and distance-based social discovery further highlight her expertise in integrating machine learning with real-world social systems. No scientific awards or grants are explicitly mentioned in the provided materials. Contact information is available at fengjiao@cs.utah.edu, and her office is located in MEB 3102.

Lingyu WangView profile

Adjunct Professor

• Cloud Security
• Network Security
• Software Security
• +3 more

Lingyu Wang is an Affiliate Professor at the Concordia Institute for Information Systems Engineering, Concordia University. He holds a Ph.D. in Information Technology from George Mason University (2006). His research focuses on cloud security, SDN/NFV security, security metrics, network security, software security, and privacy preservation. Dr. Wang has published extensively on topics including differential privacy systems, proactive security policy enforcement in containers, and cross-cluster security models for edge-core environments. His work also addresses challenges in securing industrial systems like IEC 61850 substations and 5G networks, leveraging techniques such as state auditing and event monitoring. His recent articles emphasize balancing security with performance efficiency, such as optimizing anomaly detection while preserving privacy and developing tools for real-time inconsistency detection in NFV environments. He has contributed to frameworks like ProSAS for proactive security auditing and VinciDecoder for automated forensic reporting in cloud environments. Dr. Wang’s research bridges theoretical cybersecurity principles with practical applications in cloud infrastructure, emphasizing resilience against zero-day attacks and supply chain vulnerabilities. His work frequently integrates machine learning and deep learning for enhanced security analysis and tool development.

Hannah EpsteinView profile

Lecturer

• Coral Reef Ecology
• Microbial Ecology
• Tropical Marine Biology
• +1 more

Hannah Epstein is an Honorary Lecturer at the School of Life Sciences, University of Essex, specializing in marine biology with a focus on coral reef ecosystems. She is based at the Colchester Campus and actively contributes to both research and teaching in her field. Dr. Epstein's research focuses on several interconnected areas of marine science: Coral Reef Ecology - examining community structures and dynamics across tropical seascapes Microbial Ecology - investigating the complex relationships between corals and their microbial symbionts Tropical Marine Biology - studying biodiversity and ecological processes in warm-water marine environments Coral Reef Climate Resilience - exploring mechanisms that enable corals to withstand environmental stressors Her recent publications demonstrate a strong emphasis on understanding how coral microbiomes respond to environmental stressors, particularly thermal events. Epstein's work reveals important insights into microbial transmission, coral bleaching mechanisms, and potential pathways for enhancing coral resilience through microbiome engineering. She has published extensively in high-impact journals including Animal Microbiome, Global Change Biology, and The ISME Journal. Dr. Epstein has received recognition for her methodological contributions to coral microbiome research, particularly in developing best practices for 16S rRNA amplicon data analysis. Her interdisciplinary approach combines molecular techniques with ecological theory to address pressing conservation challenges facing coral reef ecosystems worldwide. As an educator, Dr. Epstein teaches across multiple levels of the curriculum, from introductory marine ecology to specialized field courses in tropical marine biology. Her teaching portfolio reflects her research expertise while providing students with practical skills for marine scientific investigation.

Aastha MehtaView profile

Assistant Professor

• Systems Security
• Data Privacy
• Operating Systems
• +3 more

Aastha Mehta is a Tenure-Track Assistant Professor in the Computer Science Department at the University of British Columbia (UBC), affiliated with the Systopia Lab and the Security and Privacy Group. Her research focuses on systems security, data privacy, and distributed systems, particularly in cloud and edge platforms. She teaches courses such as CPSC 538M (Systems Security) and CPSC 317 (Introduction to Computer Networking). Research Interests: Her work spans systems security, network privacy, ICS security, and privacy-preserving technologies. Key projects include compliance tools for serverless applications (Growlithe), network side-channel mitigation (NetShaper), and epidemic risk mitigation systems leveraging Bluetooth beacons. Received NCC Funding for ICS security research (2024) Faculty Teaching Awards (UBC) Advising: Currently supervises PhD and MSc students like Yayu Wang, Angela DeMarco, and Satvik Vemuganti. Collaborates with researchers from MPI-SWS, UofT, and UBC ECE on security and privacy projects. Service: Serves on program committees for CCS 2025, ASPLOS 2025, and Oakland S&P. Organized mentoring programs at SOSP and OSI.

Steve SchneiderView profile

Professor

• Cyber Security
• Secure Electronic Voting
• Distributed Ledger Technologies
• +3 more

Professor Steve Schneider is a Professor and Director of the Computer Science Research Centre at the University of Surrey, leading the Surrey Centre for Cyber Security (SCCS) and the Nature Inspired Computing and Engineering (NICE) Research Group. He has held roles including Head of the Department of Computer Science (2004-2010) and Associate Dean for Research and Innovation in the Faculty of Engineering and Physical Sciences (2015-2019). His research focuses on Secure Electronic Voting, Distributed Ledger Technologies, Rail and Automotive Security, and Formal Modeling Verification. Key projects include the Prêt à Voter system used in the 2014 Victorian State Election and work on privacy in transportation systems. Research interests span formal methods for security protocols, blockchain applications in voting and identity systems, and privacy-preserving technologies. He teaches Advanced Algorithms and supervises undergraduate and MSc projects, contributing to the university’s academic and pedagogical mission. His work bridges theoretical foundations with practical applications, emphasizing real-world implementation in critical systems like voting infrastructure and rail networks. Recent publications highlight advancements in privacy-preserving systems, formal verification of blockchain protocols, and adversarial machine learning defenses. Collaborations include the Decentralised Digital Economy (DECaDE) research center and international symposiums like ESORICS. He actively engages in policy discussions on UK cyber security strategy and the integration of formal methods into industrial systems. His contributions to cyber security education are reflected in initiatives like the Cyber Security Body of Knowledge (CyBOK), promoting standardized curricula and industry-relevant research. Current projects explore decentralized identity systems and resilient voting technologies, positioning him as a leader in both academic and applied security domains.

Mehmet OrgunView profile

Professor

• Artificial Intelligence
• Biomedical Image Processing
• Knowledge Discovery
• +3 more

Mehmet Orgun is a Professor at the School of Computing, Macquarie University. He holds a BSc and MSc from Hacettepe University (Turkey) and a PhD from the University of Victoria (Canada). His research spans artificial intelligence, biomedical image processing, multi-agent systems, and secure systems. He has supervised over 30 PhD and master's students and led multiple ARC-funded projects totaling over $4M. His professional service includes roles at PRICAI 2010 and SIN 2019. Research Interests: Artificial Intelligence Quantum Cryptography Trusted Systems Medical Imaging Recommender Systems Awards: Best Student Runner Up Award (ADMA'23) Best Paper Award (MoMM2020) Best Student Paper Award (ICWS2016) Advising & Grants: 30+ PhD/Master's students ARC grants exceeding $4M Labs/Teams: Collaborations include Australian Taxation Office and DSTO. Projects focus on trust-oriented data analytics and secure systems.