Vladimir Brusic 计算机科学首席教授
理工学院



联系方式 办公室
Room 309L, Sir David and Lady Susan Greenaway Building

校园
University of Nottingham Ningbo China

地址
199 Taikang East Road, Ningbo, 315100, China

电话
+86 574 8818 0000 Ext 8809

邮箱
vladimir.brusic@nottingham.edu.cn



学历
BEng(Mech), MEng(Biomed), GDip(CompSci), MAppSci(InfoTech), PhD(CompSci), MBA

个人简介
Dr. Brusic joined University of Nottingham in 2018 as a Li Dak Sum Chair Professor in Computer Science. He studied at University of Belgrade, Serbia, La Trobe University (Australia), Royal Melbourne Institute of Technology (Australia), and Rutgers University (USA).
His research expertise is interdisciplinary: bioinformatics, health informatics, mathematical modelling, predictive analytics, artificial intelligence, and machine learning. He is interested in complex systems analysis and development of knowledge-based systems. He developed new software solutions used for scientific discovery and optimization problems in medical diagnosis and monitoring of human health. He developed a novel diagnostic product for tissue typing (patent US ** B2) and used knowledge-based systems to discover targets for vaccine optimization (patent US ** B2).
Professor Brusic Holds adjunct or visiting professorial positions at Griffith University, Australia, Kumamoto University (Japan) and Boston University (USA).
Professor Brusic is a section editor of journal PLoS ONE, an associate editor Frontiers in Immunology, and a member of the editorial board of Briefings in Bioinformatics. He has published more than 200 scientific and technology articles that have attracted more than 12,000 citations as of 2018. He has contributed to numerous international conferences and regularly serves as member of Program Committees. He has served on the funding review panels in USA, Europe, and several other countries. He has attracted more than 5 million dollars in competitive research funding in the USA, Europe and Singapore. He was involved in several large-scale projects and was overseeing research teams that comprised more than 30 members. Professor Brusic had previously held senior research or academic positions internationally, including Dana-Farber Cancer Institute (USA), University of Queensland (Australia), Institute for Infocomm Research (Singapore) and Walter and Eliza Hall Institute (Australia).


研究方向
Research InterestsData analytics, predictive analytics and knowledge management
Artificial intelligence and statistical methods
Mathematical modelling, computational modelling, and simulations
Health informatics and biomedical informatics
Smart technologies, diagnostic systems, health monitoring, smart hospital
Food science, food and human health


奖项 / 专利
Honors and Awards2005, Honorary Doctorate (Dr h.c.), Semmelweis University, Budapest, Hungary.


发表文章
BookSchönbach C., Ranganathan S., Brusic V. (editors). Immunoinformatics. Springer, NY, USA, November 2007. ISBN-10:
Recent journal articlesZhang P, Georgiou CA, Brusic V. Elemental metabolomics. Briefings in Bioinformatics 2018, 19(3):524-536.
Hoft D, Mei X, Zhang GL, Blazevic A, Tennant J, Kaplan C, Matuschak G, Dube T, Hill H, Schlesinger L, Andersen P, Brusic V. PO and ID BCG vaccination in humans induce distinct mucosal and systemic immune responses and CD4+ T cell transcriptomal molecular signatures. Mucosal Immunology 2018, 11(2):486.
Khan AM, Hu Y, Miotto O, Thevasagayam NM, Sukumaran R, Abd Raman HS, Brusic V, Tan TW and August JT. Analysis of Viral Diversity for Vaccine Target Discovery. BMC Bioinformatics 2017, 10(4):78.
Danezis GP, Pappas AC, Zoidis E, Papadomichelakis G, Hadjigeorgiou I, Zhang P, Brusic V, Georgiou CA. Game meat authentication through Rare Earth Elements fingerprinting. Analytica Chimica Acta 2017, 991:46-57.
Olsen LR, Tongchusak S, Lin HH, Reinherz EL, Brusic V, Zhang GL. TANTIGEN: a comprehensive database of tumor T cell antigens. Cancer Immunology, Immunotherapy 2017, 66(6):731-735.
Danezis GP, Tsagkaris AS, Camin F, Brusic V, Georgiou CA. Food authentication: techniques, trends and emerging approaches. Trends in Analytical Chemistry 2016, 85, 123-132.
Danezis GP, Tsagkaris AS, Camin F, Brusic V, Georgiou CA. Food authentication: state of the art and prospects. Current Opinion in Food Science 2016, 10, 22-31.
Shukla SA, Rooney MS, Rajasagi M, Tiao G, Dixon PM, Lawrence MS, Stevens J, Lane WL, Dellagatta JL, Steelman S, Sougnez C, Cibulskis K, Kiezun A, Brusic V, Wu CJ, Getz G. Comprehensive analysis of cancer-associated somatic mutations in class I HLA genes. Nature Biotechnology 2015, 33 (11), 1152-1158
Sun J, Brusic V. A systematic analysis of a broadly neutralizing antibody AR3C epitopes on Hepatitis C virus E2 envelope glycoprotein and their cross-reactivity. BMC Medical Genomics 2015, 8(Suppl 4):S6
Vandewater L, Brusic V, Wilson W, Macaulay L, Zhang P. An adaptive genetic algorithm for selection of blood-based biomarkers for prediction of Alzheimer’s disease progression. BMC Bioinformatics 2015, 16(Suppl 18):S1
Olsen LR, Simon C, Kudahl UJ, Bagger FO, Winther O, Reinherz EL, Zhang GL, Brusic V. A computational method for identification of viral vaccine targets from protein regions of conserved HLA binding. BMC Medical Genomics 2015, 8(Suppl 4):S1
Simon C, Kudahl UJ, Sun J, Olsen LR, Zhang GL, Reinherz EL, Brusic V. FluKB: A Knowledge-Based System for Influenza Vaccine Target Discovery and Analysis of the Immunological Properties of Influenza Viruses. Journal of Immunology Research 2015; Article ID 380975.
Olsen LR, Campos B, Barnkob MS, Winther O, Brusic V, Andersen MH. Bioinformatics for cancer immunotherapy target discovery. Cancer Immunology, Immunotherapy 2014, 63 (12), 1235-1249
Zhang GL, Keskin DB, Lin HN, Lin HH, DeLuca DS, Leppanen S, Milford EL, Reinherz EL, Brusic V. Human Leukocyte Antigen typing using a knowledge base coupled with a high throughput oligonucleotide probe array analysis. Frontiers in Immunology 2014; 5:597.
Rajasagi M, Shukla S, Fritsch E, Keskin D, Carmona E, DeLuca D, Zhang W, Sougnez C, Cibulskis K, Sidney J, Stevenson K, Ritz J, Neuberg D, Brusic V, Gabriel SB, Lander E, Getz G, Hacohen N, Wu CJ. Systematic identification of personal tumor-specific neoantigens in chronic lymphocytic leukemia. Blood 2014; 124(3):453-62
Olsen LR, Campos B, Winther O, Sgroi DC, Karger BL, Brusic V. Tumor antigens as proteogenomic biomarkers in invasive ductal carcinomas. BMC Medical Genomics 2014, 7(Suppl 3):S2
Sun J, Zhang GL, Li S, Ivanov AR, Fenyo D, Lisacek F, Murthy SK, Karger BL, Brusic V. Pathway analysis and transcriptomics improve protein identification by shotgun proteomics from samples comprising small number of cells – a benchmarking study. BMC Genomics 2014, 15(Suppl 9):S1.
Zhang P, Brusic V. Mathematical modelling for novel cancer drug discovery. Expert Opinion on Drug Discovery 2014, 9(10):1133-50.
Zhang GL, Sun J, Chitkushev L, Brusic V. Big Data Analytics in Immunology: A Knowledge-Based Approach. BioMed Research International. Volume 2014, Article ID 437987.
Fritsch EF, Rajasagi M, Ott PA, Brusic V, Hacohen N, Wu CJ. HLA-binding properties of tumor neoepitopes in humans. Cancer Immunology Research 2014; 2(6):522-9.
Zhang GL, Riemer AB, Keskin DB, Chitkushev L, Reinherz EL, Brusic V. HPVdb: a data mining system for knowledge discovery in human papillomavirus with applications in T cell immunology and vaccinology. Database (Oxford) 2014:bau031.
Sun J, Kudahl U, Simon C, Cao Z, Reinherz E, Brusic V. Large-scale analysis of B-cell epitopes on influenza virus hemagglutinin - implications for cross-reactivity of neutralizing antibodies. Frontiers in Immunology 2014;5:38.
Brusic V, Gottardo R, Kleinstein SH, Davis MM, and the HIPC Steering Committee. Computational resources for high dimensional immune analysis from the Human Immunology Project Consortium (HIPC). Nature Biotechnology 2014;32(2):146-8.
Sun ZY, Cheng Y, Kim M, Song L, Choi J, Kudahl UJ, Brusic V, Chowdhu B, Yu L, Seaman MS, Bellot G, Shih WM, Wagner G, Reinherz EL. Disruption of helix-capping residues 671 and 674 reveals a role in HIV-1 entry for a specialized hinge segment of the membrane proximal external region of gp41. Journal of Molecular Biology 2014;426(5):1095-108.


学术交流
Recent conference articlesZhang GL, Keskin D, Chitkushev L, Brusic V. MCVdb: a database for knowledge discovery in Merkel cell polyomavirus with applications in T cell immunology and vaccinology. In Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on (pp. 178-183), IEEE.
Zhang GL., Brusic V., Chitkushev L. Data analytics based positioning of Health Informatics programs. In Proceedings of the CSECS 2017, 13^th Annual International Conference on Computer Science and Education in Computer Science. 30 June-3 July 2017, Albena, Bulgaria.
Long JB, Zhang Y, Brusic V, Chitkushev L, Zhang G. Antidote application: an educational system for treatment of common toxin overdose. In Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics 2017 Aug 20 (pp. 442-448). ACM.
Zhang GL, Keskin D, Chitkushev L, Reinherz E, Brusic V. EBVdb: a data mining system for knowledge discovery in Epstein-Barr virus with applications in T cell immunology and vaccinology. Proceedings of the International Workshop on Artificial Immune Systems (AIS) 2015 Jul 17 (pp. 1-8). IEEE.
Zhang GL, Riemer A, Keskin DB, Chitkushev L, Reinherz EL, Brusic V. HPVdb: A data mining system for knowledge discovery in Human Papillomavirus with direct applications in T cell immunology and vaccinology. Proceedings of ACM-BCB 2013, Washington DC, 2013. 843.