
Lou Chitkushev
Professor, Computer Science Senior Associate Dean, Academic Affairs Director, Health Informatics & Health Sciences Head, Digital Forensics Research Laboratory
Professor Chitkushev (chit-KOO-shev) is an internationally recognized scholar in cybersecurity and network applications across healthcare, biomedical, and financial information systems. His work is renowned for leveraging computational and AI-driven models to analyze health and economic data, with a strong focus on privacy, data protection, and cybersecurity challenges within complex systems.
He is the founding director of the Metropolitan College Health Informatics program and head of the Digital Forensics Research Laboratory. As a cofounder of Boston University’s Center for Reliable Information Systems & Cyber Security (RISCS), he was part of the team that established BU as a Center of Academic Excellence (CAE) in Cyber Defense and Research, as designated by the National Security Agency and the US Department of Homeland Security.
Dr. Chitkushev currently serves as the cybersecurity expert on the Massachusetts Center for Health Information and Analysis Oversight Council, appointed by the Attorney General of Massachusetts.
Research Interests
- Cybersecurity and networking
- Biomedical and health informatics
- Complex system analysis and modeling
Courses
- Computer Networks
- Biometrics
- Digital Forensics
- Health Informatics
Scholarly Works
Selected Publications: Books and Book Chapters
Vodenska, I., Chitkushev, L., Trajanov, D., Lazarev, G., and Trajanov, R. “Navigating Global ESG Investment Regulations Using AI.” In Sustainable Investing, edited by A. Schmidt (New Jersey: World Scientific, 2024): 153–194. https://doi.org/10.1142/9789811297786_0006
Zhen, Z., Wang, Y., Keskin, D. B., Brusic, V., Chitkushev, L., and Zhang, G. L. “Deep Learning Models for Vaccinology: Predicting T-cell Epitopes in C57BL/6 Mice.” In International Conference on Computer Science and Education in Computer Science (Cham: Springer Nature Switzerland, 2023): 182–192.
Lyu, M., Xin, L., Jin, H., Chitkushev, L. T., Zhang, G., Keskin, D. B., & Brusic, V. “Protocol for Classification Single-Cell PBMC Types from Pathological Samples Using Supervised Machine Learning.” In Computational Vaccine Design, edited by P. Reche (Springer, 2023): 53–67. https://doi.org/10.1007/978-1-0716-3239-0_4
Zhang, G., Keskin, D., and Chitkushev. “Extraction of Immune Epitope Information.” In Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, edited by S. Ranganathan, K. Nakai, and C. Schonbach (Elsevier, 2018).
Grasa, E., Bergesio, L., Tarzan, M., Trouva, E., Gaston, B., Salvestrini, F., . . . Chitkushev, L. “Recursive InterNetwork Architecture, Investigating RINA as an Alternative to TCP/IP (IRATI).” In Building the Future Internet Through FIRE -2016 FIRE Book: A Research and Experiment Based Approach, edited by M. Serrano, N. Isaris, H. Schaffers, J. Domingue, M. Boniface, and T. Korakis (River Publishers, 2017): 491–520.
Chitkushev, L., Jacobs, S., and Zlateva, T. “Identities, Anonymity and Information Warfare.” In Conflict and Complexity: Countering Terrorism, Insurgency, Ethnic and Regional Violence , edited by P. V. Fellman, Y. Bar-Yam, and A. A. Minai (New York, New York: Springer, 2015): 221–232. https://doi.org/10.1007/978-1-4939-1705-1_11
Selected Publications: Journal Articles
Yun He, Xiaoqi Jia, Shengzhi Zhang, and Lou Chitkushev. “SeFS: A Secure and Efficient File Sharing Framework based on the Trusted Execution Environment.” EAI Endorsed Transactions vol. 9 (2025). https://doi.org/10.4108/eetss.v9i1.2854
Choi, KS., Henry, P., Park, I, and Chitkushev, L. “Balancing Public Safety and Privacy: A Media Analysis of Robotic Technology in Law Enforcement.” Journal of Applied Security Research 20, no. 4 (2025): 558–585. https://doi.org/10.1080/19361610.2025.2530599
Javaheri, T., Heidari, S., Yang, X., Yerra, S., Seidi, K., … Chitkushev, L., …Rawassizadeh, R. “XKidneyOnco: An Explainable Framework to Classify Renal Oncocytoma and Chromophobe Renal Cell Carcinoma with a Small Sample Size.” bioRxiv (preprint, 2024). https://doi.org/10.1101/2024.01.23.576782
Todorovska, A., Peshov, H., Rusevski, I., Vodenska, I., Chitkushev, L. T., and Trajanov, D. “Using ML and Explainable AI to understand the interdependency networks between classical economic indicators and crypto-markets.” Physica A: Statistical Mechanics and its Applications vol. 624 (2023): 128900. https://doi.org/10.1016/j.physa.2023.128900
Rizinski, M., Peshov, H., Mishev, K., Chitkushev, L. T., Vodenska, I., and Trajanov, D. “Ethically Responsible Machine Learning in Fintech.” IEEE Access 10 (2022): 97531–97554. https://doi.org/10.1109/access.2022.3202889
Zhang, G.L., Zhu, J., Chitkushev, L., and Vodenska, I. “The Public Health Responses to Pandemic COVID-19 in the United States—Challenges faced by the health information systems.” China Health (2021): 95–96.
Zhang, G., Chitkushev, L., Olsen, L. R., Keskin, D., and Brusic, V. “TANTIGEN 2.0: a knowledge base of tumor T cell antigens and epitopes.” BMC Bioinformatics 22 (suppl 8), article 40 (2021). https://doi.org/10.1186/s12859-021-03962-7
Wang, T., Gan, Y., Arena, S. D., Chitkushev, L. T., Zhang, G., and Rawassizadeh, R. “Advances for Indoor Fitness Tracking, Coaching, and Motivation: A Review of Existing Technological Advances.” IEEE Systems, Man, and Cybernetics Magazine 7, no. 1 (2021): 4–14. https://doi.org/10.1109/msmc.2020.3017936
Javaheri, T., Homayounfar, M., Amoozgar, Z., Reiazi, R., Homayounieh, F., Abbas, E., … Rawassizadeh, R. “CovidCTNet: an open-source deep learning approach to diagnose COVID-19 using a small cohort of C.T. images.” npj Digital Medicine 4, article 29 (2021). https://doi.org/10.1038/s41746-021-00399-3
Souma, W., Vodenska, I., and Chitkushev, L. “Classification of Paper Values Based on Citation Rank and PageRank.” Journal of Data and Information Science 5, no. 3 (2020): 57–70. https://doi.org/10.2478/jdis-2020-0031
Souma, W., Vodenska, I., and Chitkushev, L. “New Measures of Journal Impact Based on the Number of Citations and PageRank.” Journal of Digital Information Management 18, no. 1 (2020): 11–20. https://doi.org/10.6025/jdim/2020/18/1/11-20
Emamalipour, M., Seidi, K., Zununi Vahed, S., Jahanban-Esfahlan, A., Jaymand, M., Majdi, H., … Zare, P. “Horizontal Gene Transfer: From Evolutionary Flexibility to Disease Progression.” Frontiers in Cell and Developmental Biology vol. 8 (2020): 229. https://doi.org/10.3389/fcell.2020.00229
Mishev, K., Gjorgjevikj, A., Vodenska, I., Chitkushev, L. T., and Trajanov, D. “Evaluation of Sentiment Analysis in Finance: From Lexicons to Transformers.” IEEE Access vol. 8 (2020): 131662–131682. https://doi.org/10.1109/access.2020.3009626
Vrijders, S., Staessens, D., Colle, D., Grasa, E., Tarzan, M., van der Meer, S., … Day, J. “ARCFIRE: Experimentation with the Recursive InterNetwork Architecture.” Computers 9, no. 3 (2020): 59. https://doi.org/10.3390/computers9030059
Vrijders, S., Maffione, V., Staessens, D., Salvestrini, F., Biancani, M., Grasa, E., … Chitkushev, L. “Reducing the Complexity of Virtual Machine Networking.” IEEE Communications Magazine 54, no. 4 (2016): 152–158. https://doi.org/10.1109/MCOM.2016.7452280
Chibishev, A., Glasnovic, M., Miletic, M., Smokovski, I., and Chitkushev, L. “Influence of age on the survival and mortality rate in acute caustic poisonings.” Materia Socio Medica 26, no. 4 (2014): 272–276. https://doi.org/10.5455/msm.2014.26.272-276
Zhang, G. L., Riemer, A. B., Keskin, D. B., Chitkushev, L., Reinherz, E. L., and Brusic, V. “HPVdb: a data mining system for knowledge discovery in human papillomavirus with applications in T cell immunology and vaccinology.” Database—The Journal of Biological Databases and Curation vol. 2014 (2014): 12 pages. https://doi.org/10.1093/database/bau031
Chitkushev, L., Vodenska, I., and Zlateva, T. “Digital Learning Impact Factors: Student Satisfaction and Performance in Online Courses.” International Journal of Information and Education Technology 4, no. 4 (2014): 356–359. https://doi.org/10.7763/ijiet.2014.v4.429
Zhang, G. L., Sun, J., Chitkushev, L., and Brusic, V. “Big Data Analytics in Immunology: A Knowledge-Based Approach.” Biomed Research International vol. 2014, 437987 (2014): 9 pages. https://doi.org/10.1155/2014/437987
Chibishev, A., Pereska, Z., Simonovska, N., Chibisheva, V., Glasnovic, M., and Chitkushev, L. T. “Conservative Therapeutic Approach to Corrosive Poisonings in Adults.” Journal of Gastrointestinal Surgery 17, no. 6 (2013): 1044–1049. https://doi.org/10.1007/s11605-013-2190-9
Vodenska, I., and Chitkushev, L. “Impact of Euro Adoption on Emerging European Countries.” Management 8, no. 1 (2013): 49–70.
Zhang, G. L., DeLuca, D. S., Keskin, D. B., Chitkushev, L., Zlateva, T., Lund, O., . . . Brusic, V. “MULTIPRED2: A computational system for large-scale identification of peptides predicted to bind to HLA supertypes and alleles.” Journal of Immunological Methods 374, nos. 1–2 (2011): 53–61. https://doi.org/10.1016/j.jim.2010.11.009
Trouva, E., Grasa, E., Day, J., Matta, I., Chitkushev, L. T., Bunch, S., . . . Hesselbach-Serra, X. (2011). “Transport over Heterogeneous Networks Using the RINA Architecture.” In Wired/Wireless Internet Communications vol. 6649, edited by X. MasipBruin, D. Verchere, V. Tsaoussidis, and M. Yannuzzi. Tech Univ Catalonia, Adv Network Architectures Lab (CRAAX), Vilanova i la Geltru, Spain: Springer-Verlag Berlin (2011): 297–308.
For the full publication list, please visit Google Scholar at https://scholar.google.com/citations?user=qHA6VSIAAAAJ&hl=en&oi=ao.