Work with thought leaders and academic experts in Software
Companies can benefit from working with an academic researcher in the field of Software in several ways. Firstly, researchers bring deep knowledge and expertise in the latest software technologies and methodologies. They can help companies stay ahead of the curve and adopt cutting-edge solutions. Secondly, researchers can provide valuable insights and analysis to solve complex software-related problems. They have the ability to conduct in-depth research, identify patterns, and propose innovative solutions. Thirdly, academic researchers often have access to state-of-the-art facilities and resources, which can be leveraged by companies for experimentation and prototyping. Lastly, collaborating with researchers can lead to valuable partnerships and networking opportunities, opening doors to new collaborations and potential funding sources.
Researchers on NotedSource with backgrounds in Software include Dr. Wolfgang Messner, Jerry Schnepp, Ph.D., IQRAM HUSSAIN, Ph.D., Daniel Milej, Ph.D., Stefano De Angelis, Ph.D., Vladimir Shapiro, Ph.D., Hector Klie, Edoardo Airoldi, Pranav Chandramouli, Dr. Aalok Thakkar, and David J. Lilja.
Dr. Wolfgang Messner
Professor in International Business with expertise in Data Analytics and Machine Learning
Education
University of Kassel
Dr. rer. pol., Economics and social sciences / 2004
University of Wales
M.B.A., Financial management / 1998
Technical University Munich
B.Sc. & M.Sc. (Dipl.-Inform. Univ.), Computer science; artificial intelligence; computer graphics / 1995
Experience
University of South Carolina, Darla Moore School of Business | Columbia, SC, USA
Clinical Professor of International Business / 2016 — Present
• Developed novel algorithms for eXplainable Artificial Intelligence (XAI). Leveraged machine learning and deep learning techniques to address research questions in international business and marketing • Utilized advanced statistical approaches to assess cultural diversity and differences across regions and populations • Investigated variations in the impact of the COVID-19 pandemic on public health systems and consumer behavior • Taught under- and postgraduate courses in the #1-ranked international business department, as recognized by US News & World Report. Courses include data analytics, management consulting, and intercultural team management • Engaged in collaborative student consulting projects with companies such as Positec, SC SBDC, Seabin Australia, Thomson Reuters, UPS Global Supply Chain Solutions (Data & Innovation), and UPS International
MYRA School of Business | Mysore, India
Professor of International Management / 2013 — 2016
• Analyzed cultural differences in consumer behavior with a focus on the effectiveness of marketing strategies • Formulated strategic initiatives for conducting business in emerging markets • Taught postgraduate courses on customer service, business case analysis, and international business
GloBus Research | London, UK & Bangalore, India
Co-founder & Director / 2011 — 2017
• Developed customized learning solutions for executives • Created assessment tools to evaluate intercultural communication competence and team effectiveness • Led the design and delivery of the India module within the prestigious Leadership Excellence Program offered collaboratively by WHU, IDG, and DXC Technology
Most Relevant Research Expertise
Other Research Expertise (14)
About
Most Relevant Publications (1+)
65 total publications
From black box to clear box: A hypothesis testing framework for scalar regression problems using deep artificial neural networks
Applied Soft Computing / Oct 01, 2023
Messner, W. (2023). From black box to clear box: A hypothesis testing framework for scalar regression problems using deep artificial neural networks. Applied Soft Computing, 146, 110729. https://doi.org/10.1016/j.asoc.2023.110729
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Jerry Schnepp, Ph.D.
Chair of Computer Science, Judson University
Education
Ph.D., Computer Science / June, 2012
M.S., Human-computer Interaction / June, 2002
University of Illinois at Chicago
B.A., Communication / December, 1999
Experience
Judson University
Chair of Computer Science / August, 2022 — Present
Leading the Department of Computer Science with a focus on evolving curricula, growing enrollment, and post-graduate professional preparedness. Coordinating research on AI-supported individualized learning experiences using Retrieval Augmented Generation (RAG). Spearheading professional development activities among faculty members focused on innovative pedagogy through Learner Experience Design (LXD). Teaching courses in Software Design Patterns, Data Structures, Algorithms, Web Development, Database Systems, and a Capstone Senior Project. Serving as Chair of the Undergraduate Academic Policy Committee and the Degree Completion Academic Policy Committee. Supporting student internships and independent studies.
Bowling Green State University
Tenured Associate Professor / May, 2018 — August, 2022
Led a university initiative to build The Collab Lab, an innovation space on the BGSU campus. Sought and received support to initiate the project, oversaw its design and construction, and led its operations as the director. Designed and taught courses in User Experience, Interactive Media, Augmented and Virtual Reality, Interaction Design, Web Development, and Usability. Supported twenty-five undergraduate independent study projects and served on graduate committees for two master’s students and four Ph.D. students, one as the primary advisor. Coordinated research projects investigating novel educational technologies: EASEL (Education through application-supported experiential learning), a mobile platform that facilitates real-time reflection during experiential learning and Point Barter, an online testing system that allows students to equitably trade exam points for hints to a correct answer.
Assistant Professor / August, 2012 — 2018
Designed and taught courses in User Experience, Interactive Media, Augmented and Virtual Reality, Interaction Design, Web Development, and Usability. Coordinated research projects investigating novel educational technologies: EASEL (Education through application-supported experiential learning), a mobile platform that facilitates real-time reflection during experiential learning and Point Barter, an online testing system that allows students to equitably trade exam points for hints to a correct answer.
DePaul University
Adjunct Faculty in Computer Science / August, 2002 — 2012
Taught courses in Human-Computer Interaction, Computer Graphics Development, Real-time Rendering, Data Visualization, Computer Animation, Web Design, and Digital Photography.
Most Relevant Research Expertise
Other Research Expertise (18)
About
Most Relevant Publications (3+)
20 total publications
An automated technique for real-time production of lifelike animations of American Sign Language
Universal Access in the Information Society / May 14, 2015
McDonald, J., Wolfe, R., Schnepp, J., Hochgesang, J., Jamrozik, D. G., Stumbo, M., Berke, L., Bialek, M., & Thomas, F. (2015). An automated technique for real-time production of lifelike animations of American Sign Language. Universal Access in the Information Society, 15(4), 551–566. https://doi.org/10.1007/s10209-015-0407-2
Special issue: recent advances in sign language translation and avatar technology
Universal Access in the Information Society / Jun 02, 2015
Wolfe, R., Efthimiou, E., Glauert, J., Hanke, T., McDonald, J., & Schnepp, J. (2015). Special issue: recent advances in sign language translation and avatar technology. Universal Access in the Information Society, 15(4), 485–486. https://doi.org/10.1007/s10209-015-0412-5
An improved articulated model of the human hand
The Visual Computer / May 01, 2001
McDonald, J., Toro, J., Alkoby, K., Berthiaume, A., Carter, R., Chomwong, P., Christopher, J., Davidson, M. J., Furst, J., Konie, B., Lancaster, G., Roychoudhuri, L., Sedgwick, E., Tomuro, N., & Wolfe, R. (2001). An improved articulated model of the human hand. The Visual Computer, 17(3), 158–166. https://doi.org/10.1007/s003710100104
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IQRAM HUSSAIN, Ph.D.
Weill Cornell Medicine, Cornell University, NY, USA
Education
Korea University of Science and Technology
Doctor of Philosophy, Medical Physics / February, 2022
Khulna University of Engineering and Technology
Bachelor of Science, Mechanical Engineering / April, 2007
Experience
Weill Cornell Medicine
Postdoctoral Associate / March, 2023 — Present
Seoul National University
Postdoctoral Fellow / March, 2022 — February, 2023
Korea Research Institute of Standards and Science
PhD Researcher / September, 2017 — February, 2022
Most Relevant Research Expertise
Other Research Expertise (32)
About
Most Relevant Publications (1+)
43 total publications
Tracking Trajectory Planning of Space Manipulator for Capturing Operation
International Journal of Advanced Robotic Systems / Sep 01, 2006
Huang, P., Xu, Y., & Liang, B. (2006). Tracking Trajectory Planning of Space Manipulator for Capturing Operation. International Journal of Advanced Robotic Systems, 3(3), 31. https://doi.org/10.5772/5735
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Daniel Milej, Ph.D.
Ph.D. in biomedical engineering
Education
Western University
Post-doctorate fellowship, Department of Medical Biophysics / June, 2019
Polish Academy of Science
PhD, Nalecz Institute of Biocybernetics and Biomedical Engineering / June, 2014
Military Univeristy of Technology
MSc, Department of Electronics / June, 2008
Experience
Lawson Research Institute
Research Associate / July, 2019 — July, 2025
Scientist / August, 2024 — Present
Western University
Postdoctoral fellow / September, 2014 — June, 2019
Assistant Professor / September, 2024 — Present
Polish Academy of Science
Researcher/PhD Student / June, 2008 — September, 2014
Most Relevant Research Expertise
Other Research Expertise (31)
About
Most Relevant Publications (1+)
91 total publications
Analysis of estimation of optical properties of sub superficial structures in multi layered tissue model using distribution function method
Computer Methods and Programs in Biomedicine / Jan 01, 2020
Żołek, N., Rix, H., & Botwicz, M. (2020). Analysis of estimation of optical properties of sub superficial structures in multi layered tissue model using distribution function method. Computer Methods and Programs in Biomedicine, 183, 105084. https://doi.org/10.1016/j.cmpb.2019.105084
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Stefano De Angelis, Ph.D.
Ph.D. computer scientist with interest in blockchains, cyber security, and applied cryptography. Strong expertise in secure protocols design and assessment, wirh publications on blockchains and distributed consensus security.
Education
Università degli Studi di Roma "La Sapienza"
Ms.C., Computer Science / January, 2018
University of Southampton
Ph.D., Computer Science and Cyber Security / May, 2022
Experience
NATO
CIS Security Researcher / March, 2018 — September, 2018
Definition of IoT and blockchain cybersecurity policy for NATO enterprice applications
University of Southampton
Postdoctoral Researcher / October, 2020 — February, 2022
Design and assessment of secure scalable blockchain systems, with focus on their consensus protocols and fault tolerance.
Algorand Inc.
Solution Architect / March, 2022 — January, 2023
Principal Scientists / January, 2023 — March, 2024
Most Relevant Research Expertise
Other Research Expertise (7)
About
Most Relevant Publications (1+)
3 total publications
Security and dependability analysis of blockchain systems in partially synchronous networks with Byzantine faults
International Journal of Parallel, Emergent and Distributed Systems / Oct 24, 2023
De Angelis, S., Lombardi, F., Zanfino, G., Aniello, L., & Sassone, V. (2023). Security and dependability analysis of blockchain systems in partially synchronous networks with Byzantine faults. International Journal of Parallel, Emergent and Distributed Systems, 1–21. https://doi.org/10.1080/17445760.2023.2272777
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Vladimir Shapiro, Ph.D.
PRINCIPAL AI/COMPUTER VISION DATA SCIENTIST; EXPERIENCED SOFTWARE (PYTHON, C/C++, R) DEVELOPER; ADJUNCT UNIVERSITY PROFESSOR
Education
Technical University of Sofia
Electrical & Computer Engineering / January, 1991
Experience
Northeastern University
Adjunct Professor / September, 2019 — Present
Developed and taught numerous courses in AI, Machine Learning, Statistics, Programming, etc., at the graduate and undergraduate levels
Avitas Systems (Baker Hughes from 2019, General Electric Venture from 2016),
Principal Computer Vision Data Scientist / November, 2016 — May, 2023
● Research, prototyping, designing, and efficiently implementing image and video analytics algorithms with Deep Learning frameworks, e.g., TensorFlow/Keras. ● Agile development in Python, C++, in Linux, including on Amazon AWS. ● Design of the Machine Learning pipelines and workflows, including the entire dataset and model lifecycle. Management of the data annotation and curation operation, including directing the team.
Most Relevant Research Expertise
Other Research Expertise (14)
About
Most Relevant Publications (5+)
37 total publications
Towards a Multinational Car License Plate Recognition System
Machine Vision and Applications / May 25, 2006
Shapiro, V., Gluhchev, G., & Dimov, D. (2006). Towards a Multinational Car License Plate Recognition System. Machine Vision and Applications, 17(3), 173–183. https://doi.org/10.1007/s00138-006-0023-5
Handwritten document image segmentation and analysis
Pattern Recognition Letters / Jan 01, 1993
Shapiro, V., Gluhchev, G., & Sgurev, V. (1993). Handwritten document image segmentation and analysis. Pattern Recognition Letters, 14(1), 71–78. https://doi.org/10.1016/0167-8655(93)90134-y
Accuracy of the straight line Hough Transform: The non-voting approach
Computer Vision and Image Understanding / Jul 01, 2006
Shapiro, V. (2006). Accuracy of the straight line Hough Transform: The non-voting approach. Computer Vision and Image Understanding, 103(1), 1–21. https://doi.org/10.1016/j.cviu.2006.02.001
On the hough transform of multi-level pictures
Pattern Recognition / Apr 01, 1996
A. Shapiro, V. (1996). On the hough transform of multi-level pictures. Pattern Recognition, 29(4), 589–602. https://doi.org/10.1016/0031-3203(95)00116-6
On the reconstructive matching of multidimensional objects
IEEE Transactions on Image Processing / Apr 01, 1996
Shapiro, V. A. (1996). On the reconstructive matching of multidimensional objects. IEEE Transactions on Image Processing, 5(4), 653–661. https://doi.org/10.1109/83.491342
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Hector Klie
CEO @ DeepCast.ai | AI-driven Industrial Solutions, Technical Innovation
Education
Ph.D., Computational Science and Engineering / May, 1997
Master of Arts, Computational and Applied Mathematics / May, 1995
Simón Bolívar University
Master of Science, Computer Science / May, 1991
Experience
DeepCast, LLC
CEO / May, 2017 — Present
ConocoPhillips Company
Staff Data Scientist / March, 2008 — April, 2016
Sanchez Oil and Gas
Director of Enterprise Data Solutions / March, 2016 — March, 2017
Design corporate data science platform, lead R&D in machine learning and AI to generate highly predictive models for field applications
Most Relevant Research Expertise
Other Research Expertise (23)
About
Most Relevant Publications (6+)
81 total publications
Computational Geosciences / Jan 01, 1997
Dawson, C. N., Klíe, H., Wheeler, M. F., & Woodward, C. S. (1997). Computational Geosciences, 1(3/4), 215–249. https://doi.org/10.1023/a:1011521413158
An Autonomic Reservoir Framework for the Stochastic Optimization of Well Placement
Cluster Computing / Oct 01, 2005
Bangerth, W., Klie, H., Matossian, V., Parashar, M., & Wheeler, M. F. (2005). An Autonomic Reservoir Framework for the Stochastic Optimization of Well Placement. Cluster Computing, 8(4), 255–269. https://doi.org/10.1007/s10586-005-4093-3
Models, methods and middleware for grid-enabled multiphysics oil reservoir management
Engineering with Computers / Sep 16, 2006
Klie, H., Bangerth, W., Gai, X., Wheeler, M. F., Stoffa, P. L., Sen, M., Parashar, M., Catalyurek, U., Saltz, J., & Kurc, T. (2006). Models, methods and middleware for grid-enabled multiphysics oil reservoir management. Engineering with Computers, 22(3–4), 349–370. https://doi.org/10.1007/s00366-006-0035-9
Towards a rigorously justified algebraic preconditioner for high-contrast diffusion problems
Computing and Visualization in Science / Mar 27, 2008
Aksoylu, B., Graham, I. G., Klie, H., & Scheichl, R. (2008). Towards a rigorously justified algebraic preconditioner for high-contrast diffusion problems. Computing and Visualization in Science, 11(4–6), 319–331. https://doi.org/10.1007/s00791-008-0105-1
A neural stochastic multiscale optimization framework for sensor-based parameter estimation
Integrated Computer-Aided Engineering / May 13, 2007
Banchs, R. E., Klie, H., Rodriguez, A., Thomas, S. G., & Wheeler, M. F. (2007). A neural stochastic multiscale optimization framework for sensor-based parameter estimation. Integrated Computer-Aided Engineering, 14(3), 213–223. https://doi.org/10.3233/ica-2007-14302
Application of Grid-enabled technologies for solving optimization problems in data-driven reservoir studies
Future Generation Computer Systems / Jan 01, 2005
Parashar, M., Klie, H., Catalyurek, U., Kurc, T., Bangerth, W., Matossian, V., Saltz, J., & Wheeler, M. F. (2005). Application of Grid-enabled technologies for solving optimization problems in data-driven reservoir studies. Future Generation Computer Systems, 21(1), 19–26. https://doi.org/10.1016/j.future.2004.09.028
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Edoardo Airoldi
Professor of Statistics & Data Science Temple University & PI, Harvard University
Education
Università Bocconi
B.Sc., Institute for Quantitative Methods
Carnegie Mellon University
Ph.D., School of Computer Science
Experience
Harvard University
Most Relevant Research Expertise
Other Research Expertise (43)
About
Most Relevant Publications (1+)
106 total publications
A Survey of Statistical Network Models
Foundations and Trends® in Machine Learning / Jan 01, 2009
Goldenberg, A. (2009). A Survey of Statistical Network Models. Foundations and Trends® in Machine Learning, 2(2), 129–233. https://doi.org/10.1561/2200000005
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Pranav Chandramouli
Graduate Student with expertise in Computer Vision, Deep Learning, and its applications, specifically autonomous remote sensor systems for object detection.
Education
University of Saskatchewan
M.S, COMPUTER VISION & DEEP LEARNING / May, 2024 (anticipated)
Experience
UNIVERSITY OF SASKATCHEWAN
RESEARCH ASSISTANT / August, 2022 — Present
My research experience includes semantic segmentation of aerial imagery, synthetic image generation, multispectral image analysis, audio classification using sound event detection and optimizing ML workflows with GPU clusters.
FolioWiz LLC
Data Science Intern / June, 2021 — August, 2021
Set up a PostGRES server and SQL database for a financial trading system. Used this data to create a pipeline for an algorithmic trading toolkit.Developed a module to assess portfolio performance and associated risks. Performed backtesting to evaluate different trading strategies.
Most Relevant Research Expertise
Other Research Expertise (3)
About
Most Relevant Publications (1+)
1 total publications
analyzeR: A SonarQube plugin for analyzing object-oriented R Packages
SoftwareX / Jul 01, 2022
Chandramouli, P., Codabux, Z., & Vidoni, M. (2022). analyzeR: A SonarQube plugin for analyzing object-oriented R Packages. SoftwareX, 19, 101113. https://doi.org/10.1016/j.softx.2022.101113
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Dr. Aalok Thakkar
Research Scientist focussed on integrating formal methods and artificial intelligence.
Education
Chennai Mathematical Institute
Bachelor's of Science, Mathematics
University of Pennsylvania
Ph.D., Computer and Information Science / May, 2023
Experience
Movement Labs
Research Engineer / February, 2024 — Present
Aptos Labs
Research Scientist / July, 2023 — January, 2024
Most Relevant Research Expertise
Other Research Expertise (8)
About
Most Relevant Publications (2+)
12 total publications
Mobius: Synthesizing Relational Queries with Recursive and Invented Predicates
Proceedings of the ACM on Programming Languages / Oct 16, 2023
Thakkar, A., Sands, N., Petrou, G., Alur, R., Naik, M., & Raghothaman, M. (2023). Mobius: Synthesizing Relational Queries with Recursive and Invented Predicates. Proceedings of the ACM on Programming Languages, 7(OOPSLA2), 1394–1417. https://doi.org/10.1145/3622847
Synthesis of coordination programs from linear temporal specifications
Proceedings of the ACM on Programming Languages / Dec 20, 2019
Bansal, S., Namjoshi, K. S., & Sa’ar, Y. (2019). Synthesis of coordination programs from linear temporal specifications. Proceedings of the ACM on Programming Languages, 4(POPL), 1–27. https://doi.org/10.1145/3371122
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David J. Lilja
Professor Emeritus of Electrical and Computer Engineering, University of Minnesota
Education
University of Illinois Urbana-Champaign
Ph.D., Electrical Engineering
University of Illinois Urbana-Champaign
M.S., Electrical Engineering
Iowa State University
B.S., Computer Engineering
Experience
University of Minnesota - Twin Cities
Professor
Department Head
University of Canterbury, Christchurch, New Zealand
Visiting Professor
University of Western Australia, Perth, Australia
Visiting Professor
Most Relevant Research Expertise
Other Research Expertise (15)
About
Most Relevant Publications (13+)
99 total publications
An Architecture for Fault-Tolerant Computation with Stochastic Logic
IEEE Transactions on Computers / Jan 01, 2011
Qian, W., Li, X., Riedel, M. D., Bazargan, K., & Lilja, D. J. (2011). An Architecture for Fault-Tolerant Computation with Stochastic Logic. IEEE Transactions on Computers, 60(1), 93–105. https://doi.org/10.1109/tc.2010.202
Computation on Stochastic Bit Streams Digital Image Processing Case Studies
IEEE Transactions on Very Large Scale Integration (VLSI) Systems / Mar 01, 2014
Li, P., Lilja, D. J., Qian, W., Bazargan, K., & Riedel, M. D. (2014). Computation on Stochastic Bit Streams Digital Image Processing Case Studies. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 22(3), 449–462. https://doi.org/10.1109/tvlsi.2013.2247429
The superthreaded processor architecture
IEEE Transactions on Computers / Jan 01, 1999
Jenn-Yuan Tsai, Jian Huang, Amlo, C., Lilja, D. J., & Pen-Chung Yew. (1999). The superthreaded processor architecture. IEEE Transactions on Computers, 48(9), 881–902. https://doi.org/10.1109/12.795219
Simulation of computer architectures: simulators, benchmarks, methodologies, and recommendations
IEEE Transactions on Computers / Mar 01, 2006
Yi, J. J., & Lilja, D. J. (2006). Simulation of computer architectures: simulators, benchmarks, methodologies, and recommendations. IEEE Transactions on Computers, 55(3), 268–280. https://doi.org/10.1109/tc.2006.44
Logical Computation on Stochastic Bit Streams with Linear Finite-State Machines
IEEE Transactions on Computers / Jun 01, 2014
Li, P., Lilja, D. J., Qian, W., Riedel, M. D., & Bazargan, K. (2014). Logical Computation on Stochastic Bit Streams with Linear Finite-State Machines. IEEE Transactions on Computers, 63(6), 1474–1486. https://doi.org/10.1109/tc.2012.231
Performing Stochastic Computation Deterministically
IEEE Transactions on Very Large Scale Integration (VLSI) Systems / Dec 01, 2019
Najafi, M. H., Jenson, D., Lilja, D. J., & Riedel, M. D. (2019). Performing Stochastic Computation Deterministically. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 27(12), 2925–2938. https://doi.org/10.1109/tvlsi.2019.2929354
Low-Cost Sorting Network Circuits Using Unary Processing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems / Aug 01, 2018
Najafi, M. H., Lilja, David. J., Riedel, M. D., & Bazargan, K. (2018). Low-Cost Sorting Network Circuits Using Unary Processing. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 26(8), 1471–1480. https://doi.org/10.1109/tvlsi.2018.2822300
Time-Encoded Values for Highly Efficient Stochastic Circuits
IEEE Transactions on Very Large Scale Integration (VLSI) Systems / May 01, 2017
Najafi, M. H., Jamali-Zavareh, S., Lilja, D. J., Riedel, M. D., Bazargan, K., & Harjani, R. (2017). Time-Encoded Values for Highly Efficient Stochastic Circuits. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 25(5), 1644–1657. https://doi.org/10.1109/tvlsi.2016.2645902
Performance analysis of single‐phase, multiphase, and multicomponent lattice‐Boltzmann fluid flow simulations on GPU clusters
Concurrency and Computation: Practice and Experience / Sep 24, 2010
Myre, J., Walsh, S. D. C., Lilja, D., & Saar, M. O. (2010). Performance analysis of single‐phase, multiphase, and multicomponent lattice‐Boltzmann fluid flow simulations on GPU clusters. Concurrency and Computation: Practice and Experience, 23(4), 332–350. Portico. https://doi.org/10.1002/cpe.1645
JaViz: A client/server Java profiling tool
IBM Systems Journal / Jan 01, 2000
Kazi, I. H., Jose, D. P., Ben-Hamida, B., Hescott, C. J., Kwok, C., Konstan, J. A., Lilja, D. J., & Yew, P.-C. (2000). JaViz: A client/server Java profiling tool. IBM Systems Journal, 39(1), 96–117. https://doi.org/10.1147/sj.391.0096
Extending value reuse to basic blocks with compiler support
IEEE Transactions on Computers / Apr 01, 2000
Huang, J., & Lilja, D. J. (2000). Extending value reuse to basic blocks with compiler support. IEEE Transactions on Computers, 49(4), 331–347. https://doi.org/10.1109/12.844346
Improving Computer Architecture Simulation Methodology by Adding Statistical Rigor
IEEE Transactions on Computers / Nov 01, 2005
Yi, J. J., Lilja, D. J., & Hawkins, D. M. (2005). Improving Computer Architecture Simulation Methodology by Adding Statistical Rigor. IEEE Transactions on Computers, 54(11), 1360–1373. https://doi.org/10.1109/tc.2005.184
Exploring Performance Characteristics of the Optane 3D Xpoint Storage Technology
ACM Transactions on Modeling and Performance Evaluation of Computing Systems / Feb 04, 2020
Yang, J., Li, B., & Lilja, D. J. (2020). Exploring Performance Characteristics of the Optane 3D Xpoint Storage Technology. ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 5(1), 1–28. https://doi.org/10.1145/3372783
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Example Software projects
How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Software?
Optimizing Software Performance
A company in the gaming industry can collaborate with a software academic researcher to optimize the performance of their gaming software. The researcher can analyze the code, identify bottlenecks, and propose optimizations to enhance the gaming experience for users.
Cybersecurity Solutions
A financial institution can partner with a software academic researcher to develop robust cybersecurity solutions. The researcher can conduct research on emerging threats, develop algorithms for threat detection, and propose strategies to mitigate risks.
Machine Learning Algorithms
An e-commerce company can work with a software academic researcher to develop machine learning algorithms for personalized product recommendations. The researcher can analyze customer data, build predictive models, and optimize the recommendation engine for better conversion rates.
Software Testing Automation
A software development company can collaborate with a software academic researcher to automate their testing processes. The researcher can develop testing frameworks, design automated test cases, and improve the overall efficiency and reliability of the software testing phase.
Data Analytics and Visualization
A healthcare organization can partner with a software academic researcher to leverage data analytics and visualization techniques. The researcher can analyze large healthcare datasets, develop algorithms for predictive analytics, and create interactive visualizations to aid in decision-making and patient care.