Aidong Zhang, SUNY Distinguished Professor

Aidong Zhang Department of Computer Science and Engineering University at Buffalo, The State University of New York 338 Davis Hall Buffalo, NY 14260-2500 U.S.A. Phone: (716) 645-4769 FAX: (716) 645-3464 Email: azhang@buffalo.edu My full cv . Academic Positions September, 2015 -- Present: Program Director, NSF/CISE/IIS (On leave from UB). 2014 -- Present: SUNY Distinguished Professor. This is the highest academic rank available for any faculty member in the State University of New York system, conferred by a vote of the Board of Trustees of the State University of New York. As stated on the SUNY website, the Distinguished Professorship is conferred upon individuals who have achieved national or international prominence and a distinguished reputation within a chosen field. This distinction is attained through significant contributions to the research literature or through artistic performance or achievement in the case of the arts. The candidates' work must be of such character that the individuals' presence will tend to elevate the standards of scholarship of colleagues both within and beyond these persons' academic fields. 2009 -- 2015: Department Chair. 2012 -- 2014: UB Distinguished Professor My short bio from a tribute to UB women. Awards/Honors ACM Fellow, 2017 Best paper award, BIBM 2017 Best paper award, ASONAM 2016 SUNY Distinguished Professor, 2014 Member of SUNY Research Council, 2012-2013 (an advisory body to the SUNY Board of Trustees, the Research Foundation Board of Directors, the SUNY Provost and Campus Presidents). UB Distinguished Professor, 2012. ACM SIG Bioinformatics Chair, 2011-2015 IEEE Fellow, 2009 CSE faculty Spring 2004 Distinguished Teacher Award, 2004 Exceptional Scholar Award, University at Buffalo, 2003 SUNY Chancellor's Research Recognition Award, 2002 NSF CAREER Award, 1998 My Publications Summary: Published over 320 peer reviewed publications (including 2 best paper awards, 1 best student paper award, 3 books, 96 journal papers and over 200 conference papers) and is credited with major conceptual and practical advances in her fields, such as WaveCluster, bridging centrality and concepts-bridges. My first book: Advanced Analysis of Gene Expression Microarray Data . My second book: Protein Interaction Networks: Computational Analysis (Cambridge University Press) My publications after 2000 My publications before 2000

Professional Activities

• Editor in Chief, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
• Editorial Board, International Journal of Bioinformatics Research and Applications
• Editorial Board, International Journal of Data Mining and Bioinformatics (IJDMB)
• Editorial Board, International Journal of Knowledge Discovery in Bioinformatics

Research Interests

• Data Mining/Data Science, Machine Learning, Bioinformatics, Health Informatics

Research Projects

• NSF High-Dimensional Interaction Analysis Project
• NIH HIV Data Warehouse Project
• NSF Biological Networks Project
• NSF Social Networks Project
• NSF Bioinformatics Project
• NSF Research Infrastructure Project
• NSF Data Warehouse Project
• NIH Biomedical Computing Center Project

Research Group

• Data Mining, Machine Learning, and Bioinformatics
• Database and Multimedia

Center

• NIH Biomedical Computing Center Project

Recent Keynote Talks

• Keynote speech: title to be determined, the 2018 IEEE Big Data conference, Seattle, December 12, 2018.
  
  
• Keynote speech: title to be determined, 2018 IEEE 8th International Conference on Computational Advances in Bio and medical Sciences (ICCABS) Oct. 18-20, 2018, Stan Fulton Building, University of Nevada, Las Vegas, Nevada.
  
  
• Keynote speech: Network Modeling, Fusion and Analysis with Applications, The 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), Barcelona, Spain, 28-31 August, 2018
  
  
• Keynote speech: Distance Metric learning and Its Applications, 2018 International Conference on Intelligent Computing August 15-18 ,2018 Wuhan,China.
  
  
• Keynote speech: Data Driven Self-Learning for Knowledge Discovery, the IEEE International Conference on Data Mining (ICDM'17), New Orleans, LA, USA, November 20, 2017.
  
  
• Keynote Talk: Data Driven Self-Learning for Knowledge Discovery in Health, Symposium on Data Science for Healthcare (DaSH), Oct 19, noon . Oct 20, 1:30PM, 2017, The Leir Retreat Center, Ridgefield, CT.
  
  
• Keynote speech: From Self-Learning to Knowledge Discovery , at the joint nine IEEE flagship international conferences: IEEE 10th International Conference on Cloud Computing (CLOUD), IEEE 1st International Conference on Edge Computing (EDGE), IEEE 24nd International Conference on Web Services (ICWS), IEEE 14th International Conference on Services Computing (SCC), IEEE 6th International Congress on Big Data (BigData Congress), IEEE 1st International Conference on Cognitive Computing (ICCC), IEEE 1st International Congress on Internet of Things (ICIOT), IEEE 6th International Conference on AI \& Mobile Services (AIMS), IEEE 13th World Congress on Services (SERVICES), Honolulu, HI, June 26, 2017.


• Keynote speech: Trajectory Analysis:  Linking Genomic and Proteomic Data with Disease Progression, the 2016 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2016), Shenzhen, China, December 16, 2016.


• Keynote speech: Context Based Learning and Its Applications , the 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI2016), Keynote Talk, San Jose, November 6, 2016.


• Keynote speech: Computing with Communities in Internet and Social Networks, IEEE 2nd International Conference on Collaboration and Internet Computing (IEEE CIC 2016), Keynote talk, Pittsburgh, November 2, 2016.
  

Conferences Organized

ACM Conference on Bioinformatics, Computational Bio logy, and Health Informatics (ACM BCB)