Denis Ulybyshev Home Page

Denis Ulybyshev, Ph.D.

E-mail: denis.ulybyshev AT gmail DOT com
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[ Resume, CV ] [ Research ] [ Research Interests ] [ Awards ] [ News ] [ Publications ] [ Hackathons ] [ Assistantships ]

Resume, CV & other job application documents

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Summary

Research Assistant / Project Manager / PhD Candidate in Computer Science Department at Purdue University. 8 years of industrial experience in developing large-scale software for mass market, including firmware for printers, developed at Samsung Electronics , industrial control systems, developed at Schneider Electric company, software for healthcare industry. Knowledgeable innovator in Information Security, Distributed Systems, Blockchain-based Technologies, Databases and Data Science, having 12 academic peer-reviewed publications, 4 awards and 4 years of research for a corporate sector in the United States.

Research

Current

Machine learning-based object detection, recommendation systems, Twitter data mining and targeted information propagation
Data Leakage Prevention and Detection for Electronic Health Records Spring 2019, Demo Video
Blockchain-based secure cross-domain software development system Spring 2018, Demo Video

Privacy-preserving data sharing, data provenance and leakage detection in untrusted clouds" Spring 2017, Demo Video

Secure and controlled distributed data sharing in SOA Spring 2015, 2016 , Demo Video

Previous

Distributed data management in Vehicle-to-Vehicle systems Spring 2015
Distributed control system for wind farm Spring 2013 - Fall 2014

Research Interests

Distributed systems: privacy-preserving data and software sharing, cloud data management, access control, blockchain-based technologies, data analytics, data leakage detection, encrypted search over encrypted data
Machine Learning: Context-aware recommendation systems
Information retrieval: development of search engines and optimization techniques
Industrial Automation: SCADA systems, Programmable Logical Controllers
Language-based security: memory protection tools, techniques for secure software development and for auditing existing software for vulnerabilities

Awards

Apr.2019: CERIAS 2019 Diamond Award (#1 out of ~95 students). Award Ceremony Video
Apr.2019: 2nd Best Research Poster Award at 20th CERIAS Annual Information Security Symposium (#2 out of 44, selected by Corporate Partners and Symposium participants). Download Poster (pdf)
Aug.2018: Bilsland Fellowship : research is funded for Spring 2019
Apr.2017: Purdue University Computer Science Department Corporate Partners Award (selected as #1 out of 23): research is funded for 2017-2018 Academic Year
Apr.2017: Purdue University Computer Science Department Harris Teaching Award for "Supporting Women in Computer Science"
Mar.2015: 1-st place Research Poster award (#1 out of 43, selected by Corporate Partners and Symposium participants) at 16-th CERIAS symposium - see bottom of the page here . Download Poster (pdf)

News

May, 2019. Officially graduated with Ph.D. degree in Computer Science from Purdue University
Apr, 2019. Won the CERIAS 2019 Diamond Award (#1 out of ~95 students). Award Ceremony Video
Apr, 2019. Won the 2nd Best Research Poster Award at 20th CERIAS Annual Information Security Symposium (#2 out of 44, selected by Corporate Partners and Symposium participants). Download Poster (pdf)
Apr, 2019. Participated (6th place) in a two-day Cybersecurity Programming Challenge "TracerFIRE 2019", organized by Sandia National Laboratories, CERIAS and Computer Science Department at Purdue University, 06-07 April 2019
Mar, 2019. Successfully defended PhD dissertation

Aug, 2018. Awarded with Bilsland Dissertation Fellowship . Research will be funded in Spring, 2019 at Computer Science Department, Purdue University

Aug, 2018. Paper "Machine Learning Models to Enhance the Science of Cognitive Autonomy" has been accepted for IEEE AIKE 2018 conference (will be held in Laguna Hills, California, USA, Sep. 26-28 2018)

Aug, 2018. Paper "Autonomous Aggregate Data Analytics in Untrusted Cloud" has been accepted for IEEE AIKE 2018 conference (will be held in Laguna Hills, California, USA, Sep. 26-28 2018)

June, 2018. Paper "Impact of Security Attacks on The Effectiveness of Collaborative Adaptive Cruise Control Mechanism" has been accepted for IEEE ISC2 "International Smart Cities" 2018 conference (will be held in Kansas, Sep. 2018)

June, 2018. Started summer/fall internship at "Coze Health" company as a Cybersecurity Software Engineer

Apr, 2018. Paper "Blockhub: Blockchain-based Software Development System for Untrusted Environments" has been accepted for IEEE CLOUD 2018 conference (held in San-Francisco, 02-07 July 2018)

Apr, 2018. Paper "Secure data communication in autonomous V2X systems" has been accepted for IEEE ICIOT 2018 conference (held in San-Francisco, 02-07 July 2018)

Apr, 2018. Paper "On-the-fly Analytics over Encrypted Records in Untrusted V2X Environments" has been accepted for ICACEEE 2018 conference (held in Zurich, Switzerland, 09-11 May 2018)

Mar, 2018. Paper "Secure data exchange and data leakage detection in untrusted cloud" has been accepted for Springer journal

Nov, 2018. Took the 3-rd place in American National Intercollegiate Ballroom dancing competition "Ohio Star Ball" , Quickstep dance (dancing partner: Kelsie Niffenegger)

Sep, 2017. Presented a poster "Blockhub: Blockchain-based Secure Cross-domain Software Development and Sharing System" at Lawson poster showcase in Computer Science Department, Purdue University

May, 2017. Started summer internship at
"Flexware Innovation" as an Automation Team Intern (Trailblazer 2017 Intern)

May, 2017. Paper
"Privacy-preserving data dissemination in untrusted cloud"
got published in IEEE Cloud 2017 conference (Honolulu, Hawaii, United States of America)

Apr. 2017. Won an award from Corporate Partners of Purdue University Computer Science Department (selected as #1 out of 23, research is funded for 2017-2018 Academic Year) .

Apr. 2017. Won Harris Teaching Award from Purdue University Computer Science Department for "Supporting Women in Computer Science"

Mar. 2017. Successfully passed PhD Prelimnary Exam "Privacy-preserving data sharing and leakage detection".

Apr. 2016. Participated in NGC Symposium.
Selective dissemination of Electronic Health Records in untrusted cloud (video, download and play for better quality)

19-20 Apr. 2016. Participated in 17-th CERIAS Symposium.
1) Authentication of User’s Device and Browser for Data Access in Untrusted Cloud (poster)
2) Secure Data Dissemination in Vehicle-to-Vehicle Systems (poster)

Nov. 2015. Passed PhD Oral Qualifying exam. Done with PhD Qualifying Examinations

Sep. 2015. Paper Secure Dissemination of Video Data in Vehicle-to-Vehicle Systems is published. Download pdf

Mar.25, 2015. 1-st place Research Poster award at 16-th CERIAS symposium - see bottom of the page here

Jan 2015. Paper A robust algorithm for detecting Wind Turbine Blade Health Using Vibro-Acoustic Modulation and Sideband Spectral Analysis is published. Download pdf

June 2014. Passed PhD Qualifying examination, Part 1

Publications

D. Ulybyshev, M. Villarreal-Vasquez, B. Bhargava, G. Mani, S. Seaberg, P. Conoval, R. Pike, J. Kobes, “Blockhub: Blockchain-based Software Development System for Untrusted Environments”, IEEE CLOUD, San-Francisco, 2018. [PDF]
D. Ulybyshev, A. Alsalem, B. Bhargava, S. Savvides, G. Mani, and L. Ben-Othmane, “Secure data communication in autonomous V2X systems”, IEEE ICIOT, San-Francisco, 2018. [PDF]
D. Ulybyshev, A. Alsalem, and B. Bhargava, "Secure Data Exchange and Data Leakage Detection in Untrusted Cloud", Springer Journal on Applications of Computing and Communication Technologies, on 1-st Intl Conf. ICACCT 2018, vol. 899, pp. 99-113 [PDF]
D. Ulybyshev, S. Palacios, G. Mani, A. Alsalem, B. Bhargava, P. Goyal, “On-the-fly Analytics over Encrypted Records in Untrusted V2X Environments”, 4-th Intl. Conf. ICACEEE, Zurich, 2018. [PDF]
D. Ulybyshev, B. Bhargava, M. Villarreal, D. Steiner, L. Li, J. Kobes, H. Halpin, R. Ranchal, A. Alsalem, "Privacy-preserving data dissemination in untrusted cloud" , pp.770-773 IEEE CLOUD, Honolulu, 2017
S. Sardesai, D. Ulybyshev, L. Ben Othmane, B. Bhargava, "Impact of Security Attacks on The Effectiveness of Collaborative Adaptive Cruise Control Mechanism", Intl. Smart Cities (ISC-2) Conference, Kansas City, Sep.18-22, 2018 [PDF]
G. Mani, B. Bhargava, P. Angin, J. Kobes, M. Villarreal-Vasquez, D. Ulybyshev, "Machine Models to Enhance the Science of Cognitive Autonomy" IEEE Artificial Intelligence and Knowledge Conference (AIKE) , Laguna Hills, Sept., 2018 [PDF]
G. Mani, D. Ulybyshev, B. Bhargava, J. Kobes, P. Goyal, "Autonomous Aggregate Data Analytics in Untrusted Cloud" IEEE Artificial Intelligence and Knowledge Conference (AIKE) , Laguna Hills, Sept., 2018 [PDF]
C. Qu, D. Ulybyshev, B. Bhargava, R. Rohit, and L. Lilien, "Secure Dissemination of Video Data in Vehicle-to-Vehicle Systems" , 6th Intl. Workshop on Dependable Network Computing and Mobile Systems (DNCMS2015), Sep. 2015
R. Ranchal, D. Ulybyshev, P. Angin and B. Bhargava, "PD3: Policy - based Distributed Data Dissemination", 16-th CERIAS Security Symp., Mar. 2015. ( Best poster award, 1 out of 43, selected by Corporate Partners )
N. Myrent, D.E. Adams, G. Rodriguez-Rivera, D. Ulybyshev, J. Vitek, E. Blanton, T. Kalibera, "A Robust Algorithm to Detecting Wind Turbine Blade Health Using Vibro-Acoustic Modulation and Sideband Spectral Analysis" , 33rd ASME Wind Energy Symposium, 2014
D. Ulybyshev, "Comparison of fuzzy and regular Least – Squares Methods in the random noise filtering task", Trans. of 5-th Intl. Symp. “Intelligent control systems 2002”. – Caluga (2002), ISBN 5 – 7038 – 2049 – 9, pp. 320 – 323
D. Ulybyshev, "Fuzzy Least – Squares Method and its modifications for different kinds of fuzzy “AND” operation in the random noise filtering task", Trans. of Intl. Symp. “Reliability and Quality”. – Penza (2003), ISBN 5 – 94170 – 031 – 8, pp. 203 – 207

Hackathons & Competitions

Apr, 2019. Participated (6th place) in a two-day Cybersecurity Programming Challenge "TracerFIRE 2019", organized by Sandia National Laboratories, CERIAS and Computer Science Department at Purdue University, 06-07 April 2019

Previous assistantships at Purdue University, CS department

Teaching Assistant for CS355 Cryptography course, Fall 2012 . Instructor: Prof. Cristina Nita-Rotaru
Research Assistant in Distributed control system for wind farm project, Spring 2013 - Fall 2014. Funded by Prof. Suresh Jagannathan
Research Assistantship in Secure and controlled distributed data dissemination in SOA project, Spring 2015. Funded by Prof. Bharat Bhargava
Teaching Assistant for CS542 Distributed Databases course, Spring 2015 . Instructor: Prof. Bharat Bhargava
Teaching Assistant for CS348 Information Systems course, Fall 2015 . Instructor: Prof. Bharat Bhargava
Teaching Assistant for CS348 Information Systems course, Fall 2016 . Instructor: Prof. Chris Clifton
Teaching Assistant for CS251 Data Structures and Algorithms course, Summer 2018 . Instructor: Prof. Gustavo Rodriguez-Rivera
Teaching Assistant for CS448 Relational Databases course, Fall 2018 . Instructor: Prof. Bharat Bhargava