Directory

 

 
 
General InformationPublications

  • Adam Mohammed, Torre Viola, Conrad S Tucker and Jose Duarte, 2016, "Towards Co-Robot Navigation in Manufacturing Environments through Machine Learning of Human Movement Patterns", 2016 International Conference on Sustainable Smart Manufacturing (S2M)
  • Kevin Lesniak, Conrad S Tucker, Sven G Bilen, Janis Terpenny and Chimay Anumba, 2016, "Immersive Distributed Design through Real-Time Capture, Translation and Rendering of 3D Mesh Data", ASME Journal of Computing And Information Science In Engineering
  • Kevin Lesniak, Conrad S Tucker, Sven G Bilen, Janis Terpenny and Chimay Anumba, 2016, "Networked, Real Time Translation of 3D Mesh Data to Immersive Virtual Reality Environments", ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, New York, USA
  • Qianyu Hu, Shruthi Bezawada, Allison Gray, Conrad S Tucker and Timothy R. Brick, 2016, "Exploring the Link between Task Complexity and Students’ Affective States during Engineering Laboratory Activities", ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, New York, USA
  • Sung Woo Kang and Conrad S Tucker, 2016, "Automated Mapping of Product Features Mined from Online Customer Reviews to Engineering Product Characteristics", ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, New York, USA
  • David Broniatowski and Conrad S Tucker, 2016, "The Role of Big Data and Associated Theory in Complex Engineered Systems", 5th International Engineering Systems Symposium: Council of Engineering Systems Universities (CESUN), Washington D.C., USA
  • Ajay Bharathi, Abhinav Singh, Conrad S Tucker and Harriet B Nembhard, 2016, "Knowledge Discovery of Game Design Features By Mining User-Generated Feedback", Computers in Human Behavior, 60, pp. 361-371
  • Sunghoon Lim and Conrad S Tucker, 2016, "A Bayesian Sampling Method for Product Feature Extraction from Large Scale Textual Data", ASME Journal of Mechanical Design, 138, (6), pp. 061403
  • David Munoz and Conrad S Tucker, 2016, "Modeling the Semantic Structure of Textually-Derived Learning Content and its Impact on Recipients Response States", ASME Journal of Mechanical Design, 138, (4), pp. 042001
  • S Kang and Conrad S Tucker, 2016, "An Automated Approach To Quantifying Functional Interactions By Mining Large-Scale Product Specification Data", Journal of Engineering Design, 27, (1-3), pp. 1-24
  • Conrad S Tucker, Yixiang Han, H Nembhard, M Lewis, N Sterling, Wang-Chein Lee and X Huang, 2015, "A Data Mining Methodology For Predicting Early Stage Parkinson's Disease Using Non-Invasive, High Dimensional Motion Sensor Data", IIE Transactions on Healthcare Systems Engineering, 5, (4), pp. 238-254
  • Suppawong Tuarob, Conrad S Tucker, Nilam Ram and Marcel Salathe, 2015, "Modeling Individual-Level Infection Dynamics Using Social Network Information", ACM International Conference on Information and Knowledge Management (CIKM 2015)
  • Conrad S Tucker, Ishan Behoora, H Nembhard, M Lewis, N Sterling and X Huang, 2015, "Machine Learning Classification of Medication Adherence in Patients with Movement Disorders Using Non-Wearable Sensors", Computers in Biology and Medicine, 66, pp. 120-134
  • Suppawong Tuarob and Conrad S Tucker, 2015, "A Product Feature Inference Model Based For Mining Implicit Customer Preferences Within Large Scale Social Media Networks", ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Abhinav Singh and Conrad S Tucker, 2015, "Investigating the Heterogeneity of Product Feature Preferences Mined Using Online Product Data Streams", ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Ajay Bharathi and Conrad S Tucker, 2015, "Investigating the Impact of Interactive Immersive Virtual Reality Environments in Enhancing Online Engineering Design Activities", ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Matthew Dering and Conrad S Tucker, 2015, "A Computer Vision Approach for Automatically Mining and Classifying End of Life Products and Components", ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, New York, USA
  • Bryan Dickens, Steven Sellers, Gabe Harms, Owen Shartle and Conrad S Tucker, 2015, "A Proposed Virtual Reality Approach for Minimizing Information Loss in Multi-User, Scalable Environments", ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Sung Woo Kang and Conrad S Tucker, 2015, "Automated Concept Generation Based On Function-Form Synthesis", ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Suppawong Tuarob and Conrad S Tucker, 2015, "Automated Discovery of Lead Users and Latent Product Features By Mining Large Scale Social Media Networks", ASME Journal of Mechanical Design, 137, (7), pp. 071402
  • Suppawong Tuarob, Conrad S Tucker, R. Strong, J. Blomberg, A. Chandra, P. Chowdhary and S. Oh, 2015, "Automatic Discovery of Service Name Replacements using Ledger Data", Proceedings of the 2015 IEEE International Conference on Services Computing 2015 (SCC 2015)
  • Conrad S Tucker and Soundar R Tirupatikumara, 2015, "An Automated Object-Task Mining Model for Providing Students with Real Time Performance Feedback", Proceedings of the 2015 American Society of Engineering Education
  • Eric Loken, Zita Oravecz, Conrad S Tucker and Fridolin Jakob Linder, 2015, "Psychometric Analysis of Residence and MOOC Assessments", Proceedings of the 2015 American Society of Engineering Education
  • Suppawong Tuarob and Conrad S Tucker, 2015, "Quantifying Product Favorability and Extracting Notable Product Features Using Large Scale Social Media Data", ASME Journal of Computing and Information Science in Engineering, 15, (3), pp. 031003.
  • Khashayar Kotobi, Philip B. Mainwaring, Conrad S Tucker and Sven G Bilen, 2015, "Data-throughput Enhancement Using Data Mining–Informed Cognitive Radio", Multidisciplinary Digital Publishing Institute: Special Issue: Cognitive Radio: Use the Spectrum in a More Efficient Way, 4, (2), pp. 221-238
  • Ishan Behoora and Conrad S Tucker, 2015, "Machine Learning Classification of Design Team Members' Body Language Patterns For Real Time Emotional State Detection", Design Studies, 39, pp. 100-127
  • Sung Woo Kang, Chinmay Sane, Nitish Vasudevan and Conrad S Tucker, 2014, "Product Resynthesis: Knowledge Discovery of the Value of End-of-Life Assemblies and Subassemblies", ASME Journal of Mechanical Design, 136, (1), pp. 011004
  • Todd Bodnar, Conrad S Tucker, Kenneth Hopkinson and Sven G Bilen, 2014, "Increasing the veracity of event detection on social media networks through user trust modeling", Big Data (Big Data), 2014 IEEE International Conference on, pp. 636–643
  • Conrad S Tucker, Bart Pursel and Anna Divinsky, 2014, "Mining Student-Generated Textual Data in MOOCS And Quantifying Their Effects on Student Performance and Learning Outcomes", ASEE Computers in Education Journal (CoEd), 5, (4)
  • David A Munoz and Conrad S Tucker, 2014, "Assessing Students’ Emotional States: An Approach to Identify Lectures That Provide an Enhanced Learning Experience", ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V003T04A006–V003T04A006
  • S Tuarob and Conrad S Tucker, 2014, "Discovering Next Generation Product Innovations By Identifying Lead User Preferences Expressed Through Large Scale Social Media Data", ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Conrad S Tucker, B Dickens and A Divinsky, 2014, "Knowledge Discovery of Student Sentiments in MOOCs and their Impact on Course Performance", ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • K Doll and Conrad S Tucker, 2014, "Mining End-Of-Life Materials Suitable For Material Resynthesis And Discovering New Application Domains", ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Conrad S Tucker, D St. John, I Behoora and A Marcireau, 2014, "Open Source 3D Scanning and Printing for Design Conceptualization and Realization", ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • I Behoora and Conrad S Tucker, 2014, "Quantifying Emotional States Based On Body Language Data Using Non Invasive Sensors", ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Suja John and Conrad S Tucker, 2014, "Quantifying the Price and Demand of Subassemblies in the End of Life Strategy of Product Resynthesis", ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Conrad S Tucker, Kathy Jackson, G Kremer and L Schmidt, 2014, "The Evolution of Tactile and Virtual Learning Preferences in Undergraduate Engineering Education", 2014 American Society of Engineering Education Conference
  • Conrad S Tucker, B Pursel and A Divinsky, 2014, "Mining Student-Generated Textual Data in MOOCS And Quantifying Their Effects on Student Performance and Learning Outcomes", 2014 American Society of Engineering Education (ASEE) Conference
  • K Lewis, D Moore-Russo, P Cormier, A Olewnik, G Kremer, Conrad S Tucker and T Simpson, 2014, "Assessment of Product Archaeology as a Framework for Contextualizing Engineering Design", 2014 American Society of Engineering Education
  • P Yin, N Ram, W Lee, Conrad S Tucker, S Khandelwal and M Salathe, 2014, "Two sides of a coin: Separating Personal Communication and Public Dissemination Accounts in Twitter", 2014 The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
  • S Tuarob, Conrad S Tucker, M Salathe and N Ram, 2014, "An Ensemble Heterogeneous Classification Methodology for Discovering Health-Related Knowledge in Social Media Messages", Journal of Biomedical Informatics, 49, pp. 255-268
  • T Bodnar, V Barclay, N Ram, Conrad S Tucker and M Salathe, 2014, "On the Ground Validation of Online Diagnosis with Twitter and Medical Records", Proceedings of the companion publication of the 23rd international conference on World wide web companion. International World Wide Web Conferences Steering Committee PHDA2014/WWW2014
  • Yixiang Han, Conrad S Tucker, Timothy W Simpson and Erik Davidson, 2013, "A Data Mining Trajectory Clustering Methodology for Modeling Indoor Design Space Utilization", ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V03BT03A017–V03BT03A017
  • Gautam Manohar and Conrad S Tucker, 2013, "A Privacy Preserving Data Mining Methodology for Dynamically Predicting Emerging Human Threats", ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V02AT02A069–V02AT02A069
  • Nitish Vasudevan and Conrad S Tucker, 2013, "Digital Representation of Physical Artifacts: The Effect of Low Cost, High Accuracy 3D Scanning Technologies on Engineering Education, Student Learning and Design Evaluation", ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V001T04A013–V001T04A013
  • Suppawong Tuarob, Conrad S Tucker, Marcel Salathe and Nilam Ram, 2013, "Discovering health-related knowledge in social media using ensembles of heterogeneous features", Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, pp. 1685–1690
  • Suppawong Tuarob and Conrad S Tucker, 2013, "Fad or here to stay: Predicting product market adoption and longevity using large scale, social media data", ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V02BT02A012–V02BT02A012
  • Chinmay Sane and Conrad S Tucker, 2013, "Product Resynthesis as a Reverse Logistics Strategy for an Optimal Closed-Loop Supply Chain", ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V004T05A017–V004T05A017
  • Kemper Lewis, Deborah Moore-Russo, Phil Cormier, Andrew Olewnik, Gül Kremer, Conrad S Tucker, Tim Simpson and Omar Ashour, 2013, "The Assessment Of Product Archaeology As A Platform For Contextualizing Engineering Design", ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V001T04A024–V001T04A024
  • K. Jackson, Conrad S Tucker and G. Kremer, 2013, "Student Perceptions of Tactile and Virtual Learning Approaches: What Can We Learn from their Viewpoint", 2013 American Society of Engineering Education (ASEE) Conference
  • Nilam Ram, Conrad S Tucker, Scott D Gest and Clyde L Giles, 2013, "Theoretical And Practical Challenges Of Multiple Time-Scale Assessment And Intervention: Glimpses Of Big Data", Gerontological Society of America, 53, pp. 356–356
  • Gul Kremer, Conrad S Tucker and Kathy Jackson, 2013, "Student preferences on tactile versus digital learning: implications for conceptual design", Proceedings of E&PDE 2013, the 15th International Conference on Engineering and Product Design Education
  • Kemper Lewis, D Moore-Russo, Gul Kremer, Conrad S Tucker, Timothy W Simpson, Sarah E Zappe, Ann Mckenna, Adam Carberry, Wei Chen, David Gatchell, Steven Shooter, Marie Paretti, Lisa McNair and Christopher Williams, 2013, "The Development of Product Archaeology as a Platform for Contextualizing Engineering Design", 2013 American Society of Engineering Education Conference
  • Conrad S Tucker, 2013, Quantifying the Relevance of Product Feature Classification in Product Family Design, Springer, New York, USA, pp. 147–177
  • Conrad S Tucker and Sung Woo Kang, 2012, "A bisociative design framework for knowledge discovery across seemingly unrelated product domains", ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. 941–953
  • Josue R Crespo-Varela, Gül E Okudan Kremer, Conrad S Tucker and Lourdes A Medina, 2012, "An Analysis of Complexity Measures for Product Design and Development", ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. 523–532
  • Conrad S Tucker and Harrison M Kim, 2011, "Trend mining for predictive product design", ASME Journal of Mechanical Design, 133, (11), pp. 111008
  • Conrad S Tucker, Harrison Kim and others, 2011, "Predicting emerging product design trend by mining publicly available customer review data", Proceedings of the 18th International Conference on Engineering Design (ICED 11)
  • Conrad S Tucker, 2011, "Data trend mining for predictive systems design"
  • John P Eddy and Conrad S Tucker, 2010, "Data-Driven Optimization of Dynamic Reconfigurable Systems of Systems"
  • Conrad S Tucker and Harrison M Kim, 2010, "Capturing Emergent Behavior In Multi-Response Systems Through Data Trend Mining", 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference
  • John P Eddy, Bruce M Thompson, Conrad S Tucker and Harrison M Kim, 2010, "Capturing Emergent Behavior In Systems Of Systems Design Through Data Trend Mining."
  • Conrad S Tucker, Harrison M Kim, Douglas E Barker and Yuanhui Zhang, 2010, "A ReliefF attribute weighting and X-means clustering methodology for top-down product family optimization", Engineering Optimization, 42, (7), pp. 593–616
  • Conrad S Tucker and H. M. Kim, 2009, "Data-Driven Product Portfolio Design Through Decision Tree Data Mining and Multi-Level Optimization", ASME Journal of Computing And Information Science In Engineering (JCISE), 9, (4)
  • Conrad S Tucker, Christopher Hoyle, Harrison M Kim and Wei Chen, 2009, "A comparative study of data-intensive demand modeling techniques in relation to product design and development", ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. 371–383
  • Conrad S Tucker, Harrison Kim, Doug Barker and Yuanhui Zhang, 2008, "Data-Mining Driven Reconfigurable Product Family Design Framework for Aerodynamic Particle Separators", 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
  • Conrad S Tucker and Harrison M Kim, 2008, "Optimal product portfolio formulation by merging predictive data mining with multilevel optimization", ASME Journal of Mechanical Design, 130, (4), pp. 041103
  • Conrad S Tucker and Harrison Kim, 2008, "Product Architecture Design and Reconfiguration using Expectation Maximization and Decision Tree Classification", 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 16th AIAA/ASME/AHS Adaptive Structures Conference,10th AIAA Non-Deterministic Approaches Conference, 9th AIAA Gossamer Spacecraft Forum, 4th AIAA Multidisciplinary Design Optimization Specialists Conference
  • Conrad S Tucker and Harrison M Kim, 2007, "Product family concept generation and validation through predictive decision tree data mining and multi-level optimization", ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. 971–987
  • Conrad S Tucker and Harrison M Kim, 2006, "Optimal Product Portfolio Formulation: Merging Predictive Data Mining with Analytical Target Cascading", Proceedings of the 11th AIAA/MAO Conference
  • Todd Bodnar, Matthew Dering, Conrad S Tucker and Kenneth Hopkinson, , "Using Large Scale Social Media Networks as a Scalable Sensing System for Modeling Real Time Energy Utilization Patterns", IEEE Systems Man and Cybernetics
  • Shruthi Bezawada, Qianyu Hu, Allison Gray, Timothy R. Brick and Conrad S Tucker, , "Automatic Facial Feature Extraction for Predicting Designers’ Comfort with Engineering Equipment during Prototype Creation", ASME Journal of Mechanical Design
 

About

The School of Electrical Engineering and Computer Science was created in the spring of 2015 to allow greater access to courses offered by both departments for undergraduate and graduate students in exciting collaborative research in fields.

We offer B.S. degrees in electrical engineering, computer science and computer engineering and graduate degrees (master's degrees and Ph.D.'s) in electrical engineering and computer science and engineering. EECS focuses on the convergence of technologies and disciplines to meet today’s industrial demands.

School of Electrical Engineering and Computer Science

The Pennsylvania State University

209 Electrical Engineering West

University Park, PA 16802

814-863-6740

Department of Computer Science and Engineering

814-865-9505

Department of Electrical Engineering

814-865-7667