Find Academic Supervisors

Oliver Bonham-CarterView profile

Associate Professor

• Bioinformatics
• Data Science
• Databases
• +5 more

Oliver Bonham-Carter is an Associate Professor in the Computer Science Department at Allegheny College. He earned a B.S. in Biology from Creighton University, an M.S. in Mathematics from the University of Nebraska at Omaha, and a Ph.D. in Information Science and Technology with a bioinformatics specialization from the University of Nebraska at Omaha. Education: B.S. (Biology), M.S. (Mathematics), Ph.D. (Information Technology, Bioinformatics) Research: Gene expression analysis, text mining of scientific literature, bioinformatics-driven encryption His research explores bioinformatics through three main facets: (1) statistical pattern detection in biological big data, (2) signal localization in protein regions, and (3) text mining of PubMed literature. He developed tools like GenExSt for gene interaction analysis and BeagleTM for literature connectivity mapping. Recent articles focus on ethical pedagogy in CS education (2024), text mining for disease-related gene correlations (2023-2021), and mitochondrial protein stress responses (2016). These works span computational biology, data analysis, and responsible technology design.

• Computer Science
• Software Engineering
• Access Control
• +3 more

Ning Shen is a researcher in computer science with a focus on security and testing methodologies. Their work spans access control policies, database encryption, and automated testing techniques. Research Interests: XACML policy testing and analysis Order-preserving encryption for databases Automated and mutation testing Formal verification of security protocols

• Embedded Systems
• Fault Tolerance
• Precision Agriculture
• +5 more

Maurizio Rebaudengo is a Full Professor at the Department of Control and Computer Science (DAUIN) of the Polytechnic University of Turin. He is a member of the PIC4SeR Interdepartmental Center for Service Robotics and holds expertise in embedded systems, fault tolerance, and sensor network applications. Research Interests: Embedded systems, fault tolerance, precision agriculture, RFID technology, wireless sensor networks, and system dependability Scientific Awards: Ramamoorthy Best Paper Award (1997) Leadership Roles: Program Chair for the 4th International EURASIP Workshop on RFID, Committee Member for Public Administration Agreements (2020-2024) Projects: Scientific Director for HONEY (Hybrid ONline tEchnologY for particle therapy), FDM (Food Digital Monitoring), IDEM (Internet of Data for Environmental Monitoring), and OPLON (Healthy Longevity Opportunities). Teaching: Course lecturer for Electronic Calculators, Computer Science, Systems Programming, and Cybersecurity at both undergraduate and postgraduate levels. His work spans IoT applications in agriculture and healthcare, focusing on low-cost sensor networks , RFID-based traceability , and cyber-physical system resilience . Recent publications emphasize particulate matter monitoring and secure communication protocols in wireless environments.

Daniele MicciancioView profile

Professor

• Cryptography
• Theoretical Computer Science
• Lattice-Based Cryptography
• +5 more

Daniele Micciancio is a Professor in the Computer Science & Engineering Department at the University of California, San Diego, where he has been faculty since 1999. He is a member of both the Cryptography and Security group and the Theory of Computation group within the Jacobs School of Engineering. His academic journey began with a PhD in computer science from the Massachusetts Institute of Technology in 1998. PhD in Computer Science, Massachusetts Institute of Technology (1998) Micciancio's research focuses on the intersection of theoretical computer science and cryptography, with particular emphasis on lattice-based cryptographic systems. His work spans lattice algorithms, complexity of lattice problems, symbolic analysis of cryptographic protocols, and various cryptographic primitives including zero-knowledge proofs. His research has significantly advanced the field of post-quantum cryptography, particularly in developing cryptographic systems based on the hardness of lattice problems that could withstand attacks from quantum computers. His recent publications demonstrate a continued focus on homomorphic encryption, lattice-based cryptography, and secure computation protocols. The trend shows increasing practical applications of his theoretical work, with publications addressing real-world implementation challenges in privacy-preserving computation, medical data analysis, and genomic research. Matchey Award (FOCS 1998) Sprowls Award (MIT EECS, 1999) CAREER Award (NSF, 2001) Hellman Fellowship (2001) Sloan Fellowship (2003) 20-years Test of Time Awards (FOCS 2022, FOCS 2024) Fellow of the IACR (1999) Professor Micciancio has advised numerous graduate students who have gone on to successful careers in academia and industry, including prominent researchers in lattice-based cryptography. His professional activities include serving on editorial boards for prestigious journals including SIAM Journal on Computing, Journal of Cryptology, and Information and Computation. He has also been heavily involved in conference organization, serving as program chair for TCC 2010, CRYPTO 2019, and CRYPTO 2020, and as general chair for TCC 2014. As a member of both the Cryptography and Security group and the Theory of Computation group at UCSD, Micciancio contributes to a vibrant research environment focused on foundational aspects of computer security and theoretical computer science. His work continues to influence both theoretical developments and practical implementations of cryptographic systems, particularly as the field prepares for the post-quantum era.

• Biometrics
• Digital forensics
• Face recognition
• +7 more

Christoph Busch is Professor at the Department of Information Security and Communication Technology , Norwegian University of Science and Technology (NTNU), Gjøvik, Norway. He leads research on trustworthy biometric systems, digital forensics, and privacy-preserving technologies. His research spans biometrics , face recognition , presentation-attack detection , synthetic-data generation , homomorphic encryption , and deepfake detection . Recent work focuses on morphing-attack detection, fairness-aware quality assessment, and secure template protection. He employs deep learning, vision transformers, and cryptographic techniques to build robust, privacy-centric identity systems. Professor Busch has co-authored over 60 peer-reviewed articles (2020-2025) in leading venues such as Nature Reviews Electrical Engineering , IEEE Transactions on Information Forensics and Security , IEEE Access , and Applied Cognitive Psychology . A clear trend is the integration of synthetic data to improve generalisation and fairness, alongside advancing attack-detection capabilities against morphing and deepfake threats. He serves on editorial boards and conference organising committees, including BIOSIG and IET Biometrics, and is actively involved in European biometrics policy discussions. He mentors a growing team of doctoral and master’s researchers working on next-generation secure identity technologies.

Elisa BertinoView profile

Professor

• Information Security
• Database Systems
• Privacy and Access Control
• +6 more

Elisa Bertino is the Samuel D. Conte Professor of Computer Science at Purdue University, where she also directs the Purdue Cyberspace Security Lab (Cyber2Slab) and serves as Research Director at CERIAS. Since joining Purdue in January 2004, her work has integrated rigorous theory with practical solutions across information security, database systems, and emerging cyber-physical domains. Education Ph.D. in Computer Science, University of Pisa (1980) Research Interests Professor Bertino’s research portfolio is exceptionally broad, spanning information security and assurance , database and data mining technologies , and AI-driven cybersecurity . She pursues foundational advances in access-control models (RBAC, ABAC, trust negotiation), secure data publishing and broadcast protocols for XML and streaming data, privacy-preserving analytics through differential privacy and secure multi-party computation, and zero-trust architectures for 5G/6G and software-defined networks. Application domains include secure mobile and IoT ecosystems, medical informatics, and humanities data. Recent Publication Trends Her 2024–2025 publications reveal a strategic pivot toward next-generation network security (5G/6G, SDN/NFV), trustworthy AI (federated learning, transformer-based malware analysis), and privacy technologies (differential privacy, homomorphic encryption). A recurring theme is the rigorous integration of AI techniques with cryptographic and systems-level defenses to achieve scalable, privacy-preserving security solutions. Scientific Awards & Honors IEEE Fellow ACM Fellow IEEE Computer Society Technical Achievement Award (2002) IEEE Tsutomu Kanai Award (2005) ACM Athena Lecturer Award (2019) Kristian Beckman Award (2020) IEEE 2021 Innovation in Societal Infrastructure Award Advising & Grants Professor Bertino has mentored a large cohort of doctoral students and post-doctoral researchers. Recent externally funded projects include NSF “Privacy-Enhanced Secure Data Provenance” (2011-2016), NIST “Advancing Commercial Participation in the NSTIC Ecosystem” (2012-2013), and Sypris Electronics “Security Techniques for Smart Mobile Devices” (2012). Laboratories & Teams She leads the Cyber2Slab (Cyber Space Security Lab), a vibrant research group investigating insider-threat mitigation, IoT and drone security, digital identity management, cloud data protection, and AI-assisted defense mechanisms. The lab collaborates extensively with federal agencies, industry partners, and international research consortia such as the Data Analytics and Information Science International Technology Alliance (DAIS ITA).

• Computational Biology
• Bioinformatics
• Privacy-Preserving Data Mining
• +5 more

Kana Shimizu is a Professor at Waseda University’s Faculty of Science and Engineering, School of Fundamental Science and Engineering, and a leading authority on privacy-preserving algorithms for genome and biomedical data. Since obtaining her Dr.Eng. from Waseda, she has held positions at AIST and a visiting investigator role at Memorial Sloan-Kettering Cancer Center, advancing to full Professor at Waseda in 2018. Education: Dr.Eng., Waseda University M.Eng., Waseda University (Dept. of Information Science) B.Eng., Waseda University (School of Science and Engineering) Research Interests: Prof. Shimizu integrates cryptography with life-science data analytics, developing homomorphic encryption and secret-sharing protocols that enable secure genome search, private chemical database queries, and privacy-preserving machine learning. She also contributes to computational biology through algorithms for next-generation sequencing, structural bioinformatics, and prediction of intrinsically disordered proteins. Publication Trends: Her recent works (2022-2024) emphasize practical privacy technologies—secure range queries, function secret sharing, and gradient-clipping for synthetic genomes—while earlier high-impact papers established fast similarity search (SlideSort), binding-site databases (PoSSuM), and encrypted genomic search using the Burrows-Wheeler transform, collectively bridging algorithmic innovation and real-world biomedical privacy needs. Scientific Awards: KDDI Foundation Achievement Award 2022 MEXT Commendation for Science and Technology (Research) 2018 Multiple best-paper/demo awards at CSS, IIBMP, and domestic bioinformatics meetings Grants & Advising: She currently leads JSPS KAKENHI (S) on “Compressed Secure Computation for Large-Scale Data” and an AMED project on precise cancer-genome graphs. She serves as advisor/evaluator for JST PRESTO, AMED, NBDC, and the Tokyo High Court, and has supervised numerous bachelor theses at Waseda. Labs & Teams: Prof. Shimizu heads a laboratory within the School of Fundamental Science and Engineering at Waseda, collaborating with national centers (AIST, RIKEN) and international partners (MSKCC, Finland Tekes/AF), focusing on encrypted bioinformatics platforms and high-performance genomic algorithms.

Ivan TotView profile

Associate Professor

• Information Systems
• Biometric Verification
• Mobile Applications
• +4 more

Ivan Tot is an Associate Professor at the University of Defense's Military Academy in Belgrade, with a career spanning roles as Teacher (1999-2010) and Assistant Professor (2015). His academic foundation includes a Doctorate from the Military Academy (2010), a Master's from the University of Kragujevac (2008), and an undergraduate degree from the Military Technical Academy (1999). His research bridges Information Systems , Biometric Verification , and IoT Security , with applications in defense logistics, mobile communications, and healthcare technology. Recent publications explore biometric maternity verification, encrypted SMS applications, and military data-gathering techniques. He contributed to key projects: New information technologies for analytical decision-making (Ministry of Science, 2010-2016) Performance Analysis of Tactical Telecommunications Systems (Military Academy, 2010-2015) Database models for logistics decision support (Military Academy, 2013-2015) He authored the textbook Information Systems for Decision Support (2013) and maintains a focus on practical, security-oriented solutions.

Daniel WichsView profile

Professor

• Cryptography
• Computer Security
• Algorithms
• +7 more

Daniel Wichs is a tenured Professor at the Khoury College of Computer Sciences at Northeastern University in Boston. He is a prominent researcher in the field of cryptography and serves as a Senior Scientist at NTT Research. His academic journey includes a PhD from New York University under Yevgeniy Dodis, a postdoctoral fellowship at IBM Research T.J. Watson, and degrees from Stanford University. Current Position: Professor at Northeastern University Prior Positions: IBM Josef Raviv Memorial Postdoctoral Fellow (2011-2013) Education: PhD NYU (2011), BS/MS Stanford (2005) Professor Wichs specializes in cryptography with research interests spanning computing on encrypted data, program obfuscation, lattice-based cryptography, information-theoretic cryptography, and foundational aspects of cryptography. He also maintains broad interests in computer security, algorithms, complexity theory, coding theory, and information theory. His research group includes current PhD students Manu Kondapaneni, LaKyah Tyner, and Ethan Mook, along with numerous successful alumni who have become professors at institutions worldwide. His recent publications demonstrate a strong focus on advanced cryptographic primitives including homomorphic encryption, zero-knowledge proofs, private information retrieval, and functional encryption. These works frequently appear at top-tier conferences like STOC, FOCS, CRYPTO, and EUROCRYPT, with several receiving best paper awards. His research often bridges theoretical foundations with practical applications in privacy-preserving computation. Best Paper at STOC 2023 Alfred P. Sloan Research Fellowship (2018) NSF CAREER Award (2018) J.P. Morgan Faculty Research Award (2022) IBM Postdoctoral Fellowship (2011-2013) Professor Wichs actively contributes to the academic community through service as Area Chair for CRYPTO 2025 and EUROCRYPT 2024, Program Chair for ITC 2020, General Chair for STOC 2016, and membership on numerous program committees. He teaches advanced courses including Foundations of Cryptography (CS 7810) and Theory of Computation (CS 3800), and has organized events like the Charles River Crypto Day and the Simons Summer Program in Cryptography 2025. His research group operates at the forefront of cryptographic theory, addressing fundamental questions about secure computation on encrypted data while developing practical cryptographic tools for real-world applications.

• Databases and Information Systems
• Data Warehousing
• IT Security
• +1 more

Prof. Dr. Christian Rich is a Professor at Frankfurt University of Applied Sciences in the Faculty of Computer Science and Engineering. He holds leadership roles as head of three bachelor's degree programs: Business Information Systems, Engineering Business Information Systems, and International Business Information Systems. Additionally, he serves on the examination board for business informatics. His research focuses on applied information technology domains: Databases & Information Systems : Design and optimization of data architectures Data Warehousing : Business intelligence infrastructure IT Security : Data protection frameworks IT Project Management : Implementation methodologies Office hours are held Thursdays 2:15-3:15 PM in Building 1, Room 227, with alternative scheduling available via email. Contact methods include rich@fra-uas.de with PGP/GPG or S/MIME encryption options. Course materials are accessible through the campUAS e-learning platform.

Myoungsoo JungView profile

Professor

• Computer Architecture
• Operating Systems
• Solid State Drives
• +6 more

Myoungsoo Jung is the KAIST Endowed Chair Professor and Full Professor at Korea Advanced Institute of Science and Technology, holding primary appointment in the School of Electrical Engineering with additional affiliations in the School of Semiconductor System Engineering, Graduate School of AI Semiconductor, Graduate School of System Architect, and Graduate School of AI. His research focuses on cutting-edge computer architecture and operating systems with specialization in memory and storage systems. Professor Jung's research interests span computer architecture, operating systems, flash memory, solid-state drives, non-volatile memory, file systems, parallel processing, and heterogeneous computing. He has pioneered work in CXL-based memory expansion, computational SSDs, and memory disaggregation technologies that are transforming modern data centers and AI infrastructure. His recent publications demonstrate significant advancements in CXL-driven architectures, computational storage, and memory systems. The research trends show increasing integration of storage and memory technologies with AI workloads, particularly in large-scale graph processing, federated learning, and billion-scale data management. His team's work frequently appears in top-tier venues including ISCA, HPCA, SOSP, and USENIX ATC. Hall of Fame, IEEE/ACM ISCA (2024) Digital Innovation Award from Minister of Science and ICT (2024) CES Innovation Award Winner, CXL-Enabled AI Accelerator (2025) Korea Innovative Startup Award, Ministry of Science and ICT (2025) Samsung Best Paper Award Winner (Grand Prize) (2022) Professor Jung has successfully advised numerous PhD students including Miryeong Kwon (recipient of KAIST Outstanding PhD Dissertation Award) and Donghyun Gouk. His CAMEL research lab has secured over $13M in funding from sources including DOE, NSF, and Korean government agencies. The lab maintains strong industry partnerships with Samsung, SK Hynix, and Panmnesia, focusing on translating research into practical systems. Current projects include CXL-based memory expansion, computational SSDs for AI acceleration, and next-generation storage architectures for hyperscale data centers.