Rahman Tashakkori, Ph.D
Chair and Lowe's Distinguished Professor
Department of Computer Science
Appalachian State University

Education:
  • PhD in Computer Science, May 2001, Louisiana State University, Baton Rouge, LA
    Dissertation Title: Medical Image Set Sompression using Wavelet and Lifting Combined with New Scanning Techniques, Dissertation Advisor: Dr. John M Tyler
  • M.S. in Engineering Science/System Science, Dec 1995, Louisiana State University, Baton Rouge, LA
  • M.S. in Nuclear Engineering, May 1994, Louisiana State University, Baton Rouge, LA
  • B.S. in Physics, August 1987, Chamran University, Ahwaz, Iran

    • Books:
  • Lab Manual for the Problem Solving, The Object of Programming Book, Rahman Tashakkori, Addison Wesley, ISBN: 0-321-17359-7

    • Publications:
    1. BeeVis: A Comprehensive Honey Bee Data Visualization, Exploration, and Analysis System, Tinghao Feng, Sam Arkle, Christopher Campell, Rahman Tashakkori, IEEE SouthEastCon 2024, March 21-24, Atlanta, Georgia.
    2. AppMAIS Audio Data Labeling Application, Christopher L. Campell, Rahman Tashakkori, Alex Somer, Logan Richardson, and Aedan Simons-Randolph, IEEE SouthEastCon 2024, March 21-24, Atlanta, Georgia.
    3. Bee Traffic Estimation with YOLO and Optical Flow, R. Thompson Dickson, R. Mitchell Parry, Christopher Campell, and Rahman Tashakkori, IEEE SouthEastCon 2024, March 21-24, Atlanta, Georgia.
    4. Utilizing YOLO for Determining Honey Beehive Health based on the Cast Ratio at the Entrance, Will O'Brien, Rahman Tashakkori, Tayo Olofintuyi, R. Mitchell Parry, and Christopher Campell, Elsevier Journal of Smart Teachnology in Agriculture, Under Review.
    5. Honey Bee Piping Detection utilizing Convolutional Neural Networks, Christopher Campell, Mitchell Parry, Rahman Tashakkori, Alex Somer, and Logan Richardson, Manuscript No. Sensors-66438-2023, IEEE Sensors Journal, Under Review.
    6. BeeLive: The IoT Platform of Beemon Monitoring and Alerting System for Beehives, Abdelbaset Hamza, Rahman Tashakkori, Benjamen Underwood, William O'Brien, and Christopher Campell. Elsevier Journal of Smart Technology in Agriculturei, Volume 6, December 2023. No. 100331.
    7. Success with S-STEM: The Appalachian High Achievers in STEM, Rahman Tashakkori, Cindy Nooris, and Jennifer Mcgee, 2023 ACM Southeast Conference, April 12-14, 2023.
    8. AppMAIS Simple Data Visualization App, Logan Richardson, Christopher Campell, Rahman Tashakkori, Sarah Elizabeth Davis, and Will O'Brien, is accepted for publication in Proceedings of the IEEE SouthEast 2023, April 13 - 16, 2023 - Orlando, FL.
    9. Non-Invasive Spectral-Based Swarm Detection, Christopher Campell, R. Mitchell Parry, and Rahman Tashakkori, is accepted for publication in Proceedings of the IEEE SouthEast 2023, April 13 - 16, 2023 - Orlando, FL.
    10. IoT Apiary Fleet Management with Jenkins, Christopher Campell, Joseph Graber, Rahman Tashakkori, and William O'Brien, 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2022, pp. 0328-0335, doi: 10.1109/UEMCON54665.2022.9965635.
    11. Detecting Anomalies in Honey Bee Hives Using Their Audio Recordings, Benjamen Underwood, and Rahman Tashakkori, IEEE Southeast 2022, Mobile, AL, March 26-27, 2022.
    12. Estimating the Number of Drones at the Entrance of a Honey Bee Hive Using Machine Learning Tools, William O'Brien, Rahman Tashakkori, R. Mitch Parry, Abdelbaset Hamza, and Joe Graber, IEEE Southeast 2022, Mobile, AL, March 26-27, 2022.
    13. An IoT-Based Beehive Monitoring System , Rahman Tashakkori, Abdelbaset Hamza, and Michael Crawford, Elsevier Journal of Computers and Electronics in Agriculture, Volume 190, November 2021, 106427
    14. STEM Scholars' Sense of Community During the COVID-19 Pandemic Jennifer McGee and Rahman Tashakkori, Journal of College Science Teaching, Vol. 51, No. 1, 2021
    15. Appalachian High Achievers in STEM program, Rahman Tashakkori and Cindy Norris, AAC&U STEM Conference, 2020 Virtual Conference on Transforming STEM Higher Education , November 5-7, 2020.
    16. Low-Cost UFSOOK-Based Optical Camera Communication Link for IoT Applications, Abdelbaset Hamza, Tyler Tripp, Benjamen Underwood, and Rahman Tashakkori, IEEE World Forum on Internet of Things 2020, New Orleans, LA, April 5-9, 2020.
    17. Analyses of Audio and Video Recordings for Detecting a Honey Bee Hive Robbery, Rahman Tashakkori, Gurney Buchanan, and Luke Craig, IEEE SECon 2020, Raleigh, NC, March 12-14, 2020.
    18. GRIT and Sense of Belonging in STEM Scholarship Recipients After Their First Year, Jennifer McGee and Rahman Tashakkori, NCARE Board. Greensboro, NC, February 28, 2020.
    19. BeePhon: A Web-Application for Beehive Audio Exploration, Luke Craig, R. Mitch Parry, Rahman Tashakkori, and Ian Watts The IEEE SouthEast Con 2019, Huntsville, AL, April 11-4, 2019.
    20. A Web-App for Analysis of Honey Bee Hive Data, Gurney Buchanan and Rahman Tashakkori The IEEE SouthEast Con 2019, Huntsville, AL, April 11-4, 2019.
    21. High-Achievers Scholarship Program in Computer Science and Mathematics, Rahman Tashakkori, Cindy Norris, Mary Beth Searcy, Vicky Klima, and James Wilkes The 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah, June 24-27, 2018.
    22. The Components of a Successful S-STEM Program: What Works at Appalachian State University, Rahman Tashakkori, Cindy Norris, Mary Beth Searcy The SIGCSE 2018: 49TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, Proceedings, The 49th ACM Technical Symposium on Computer Science Education Baltimore, MD, USA, February 21 - 24, 2018 .
    23. Privacy Enhanced Location Sharing for Mobile Online Social Networks, Son, Junggab; Kim, Donghyun; Bhuiyan, Md Zakirul Alam; Tashakkori, Rahman; Seo, Jungtaek; Lee, Dong Hoon, Transactions on Sustainable Computing, IEEE Transaction on Sustainable Computing (T-SUSC), Vol 5, Issue 2, P 279-90, 2018.
    24. Team Software Process Approach to Database Course, Rahman Tashakkori and Zachary Andrews, ACMSE 2018, March 29-31, 2018, Eastern Kentucky University Richmond, Kentucky.
    25. A Honeybee Hive Monitoring System: From Surveillance Cameras to Raspberry Pis, Rahman Tashakkori, Nathaniel P Hernandez, Ahmad Ghadiri, Alekxander P Ratzloff, and Michael B Crawford, IEEE SouthEastCon 2017, March 30-April 2, 2017, Charlotte, NC.
    26. A New Mobile Online Social Network based Location Sharing with Enhanced Privacy Protection, Junggab Son, Donghyun Kim, Rahman Tashakkori, Alade O. Tokuta, and Heekuck Oh, IEEE Communications Society, The 25th International Conference on Computer Communication and Networks (ICCCN 2016), August 1-4, 2016, Waikoloa, Hawaii, USA.
    27. Involving High School Students with Visualization and Image Processing, Rahman Tashakkori, Ahmad Ghadiri, and Sina Tashakkori, The Journal of Computing Sciences in Colleges, Volume 30, No 6, June 2015, P 127-134.
    28. Image Processing for Honey Bee hive Health Monitoring, Rahman Tashakkori & Ahmad Ghadiri, IEEE Southeast 2015, April 9-12, 2015, FortLauderdale, FL.
    29. Leaf Classification Convolutional Neural Network App, Timothy Jassmann & Rahman Tashakkori, IEEE Southeast 2015, April 9-12, 2015, FortLauderdale, FL.
    30. Automated Beehive Surveillance Using Computer Vision, David Kale & Rahman Tashakkori, IEEE Southeast 2015, April 9-12, 2015, FortLauderdale, FL.
    31. Correlation Between Body Measurements of Different Genders and Races, Saumya Goel & Rahman Tashakkori, Springer Proceedings in Mathematics & Statistics, Volume 109, 2015.
    32. Active Learning During Lecture Using Tablets, Barry L. Kurtz, Rahman Tashakkori, James B. Fenwick, Ahmad Esmaili, and Stephen R. Tate, Technical Symposium on Computer Science Education, March 5 - 8, 2014 , Atlanta, GA. (NSF Supported Project)
    33. Research Experience for Teachers: Data Analysis & Mining, Visualization, and Image Processing, Rahman Tashakkori, Mitchell Parry, Rebecca Cooper, Nicolas Westveer, Jessica Jenkins, and Adam Benoit, Technical Symposium on Computer Science Education, March 5 - 8, 2014 , Atlanta, GA. Accepted (NSF Supported Project)
    34. Early Participation of CS Students in Research, Rahman Tashakkori, Barry Kurtz, Dolores Parks, James Fenwick, and Alice McRae, Technical Symposium on Computer Science Education, March 9-12, 2011, Dallas, TX. (NSF Supported NSF Project).
    35. Message Encoding in Images Using Lifting Schemes , Rahman Tashakkori & Chris Sholar, IEEE SoutheastCon 2010, Charlotte, NC, March 18-21, 2010.
    36. Using Microlabs to Teach Modern Distributed Computing, B. Kurtz, R. Tashakkori, J. Helfert, M. Sage, Technical Symposium on Computer Science Education, Milwaukee, WI, March 10-13, 2010
    37. Improving Believability of Simulated Characters, Jere Miles & Rahman Tashakkori, The Journal of Computing Sciences in Colleges, Volume 25, No. 3, January 2010, Pages 32-39.
    38. The Mentoring Model of S-STEM Program at Appalachian, Rahman Tashakkori, Lunch Box Session, The 4th State of North Carolina Undergraduate Research and Creativity Symposium (SNCURCS), Nov 21, 2008, Appalachian State University.
    39. Grid Computing: Student Research Experiences, Darren W. Greene, Rahman Tashakkori, and Barry L. Kurtz, Proceedings, ACM SE 2008, Auburn University, AL, March 28-30, 2008.
    40. Image Processing in a Grid Environment, Darren W. Greene, Rahman Tashakkori, and Barry L. Kurtz, Proceedings, The 2007 International Conference on Grid Computing and Applications, (GCA'07), WORLDCOMP'07, Las Vegas, Nevada, USA June 25-28, 2007.
    41. Fuzzy Sectorization in Knowledge Discovery of Digital Mammograms, Rahman Tashakkori and Adam Reagan. The IEEE Southeast 2007 Conference, IEEE-SE07 - March 22-25, 2007, Richmond, VA.
    42. Tool for Assessing Student Outcomes, Mitcell Jareo, Dee Parks, and Rahman Tashakkori . The ACM Southeeast 2007 Conference, ACMSE 2007 - March 23-24, 2007, Winston Salem, NC.
    43. Success with CSEMS, Rahman Tashakkori, James Wilkes, and Cindy Norris . The ACM Southeeast 2007 Conference, ACMSE 2007 - March 23-24, 2007, Winston Salem, NC.
    44. A Consortium to Promote High Performance Computing, Rahman Tashakkori, Barry Kurtz, Barry Wilkonson (UNCC), and Mark Holiday (WCU) . The ACM Southeeast 2007 Conference, ACMSE 2007 - March 23-24, 2007, Winston Salem, NC.
    45. High Performance Image Content-based Search, Rahman Tashakkori, Steven H. Heffner, Darren W. Greene, and Barry K. Kurtz, The 2006 International Conference on Image Processing, Computer vision, and Pattern Recognition, IPCV'06 - June 26-29, 2006, Las Vegas.
    46. Medical Image Optimal Wavelets, Rahman Tashakkori, John M. Tyler, and Oleg S. Pianykh, Proceedings, VISION'05 - The 2005 International Conference on Imaging Science, Systems, and Technology June 20-23, 2005, Las Vegas.
    47. A Lifting-Based Knowledge Discovery in Microarray Data, Scott Barlowe and Rahman Tashakkori, Proceedings, The 2005 International Conference on Mathematics and Engineering METMBS '05 - Techniques in Medicine and Biological Sciences, June 20-23, 2005, Las Vegas.
    48. A Systemic Mentoring Model in Computer Science, Rahman Tashakkori, James T. Wilkes, and Edward G. Pekarek, Proceedings, ACMSE 2005, March 18-20, 2005, Kennesaw State University, GA.
    49. Encouraging Undergraduate Research: A Digital Image Processing Approach, Rahman Tashakkori, Journal of Computing Sciences in Colleges (JCSC), Volume 20, Number 3, February 2005, Pages: 173-180.
    50. Decorrelating Medical Image Sets with Lifting: A New Approach, Rahman Tashakkori, John M. Tyler, Oleg S. Pianykh, and Xiaojun Qi, Proceedings, CISST'04 - The 2004 International Conference on Imaging Science, Systems, and Technology June 21-24, Las Vegas.
    51. Implementation of Integer-Based Wavelets Using Java Servlets, Dalton, Andrew R.;  Tashakkori, Rahman, Proceedings, The 7th World Multi-conference on Systemics, Cybernetics, and Informatics (SCI2003), July 27-30, 2003, Orlando, FL.
    52. A Java - Based Tool For Teaching Image Processing Enhancement Techniques, Vachery, Shibu Y.; Verma  Monica; Tashakkori, Rahman, Proceedings, The 7th World Multi-conference on Systemics, Cybernetics, and Informatics (SCI2003), July 27-30, 2003, Orlando, FL.
    53. Extracting Anatomical Structures, Primarily Vertebrae, From Images of the Human Spine, Verma, Monica; Vachery, Shibu; Tashakkori, Rahman, Proceedings, The 7th World Multi-conference on Systemics, Cybernetics, and Informatics (SCI2003), July 27-30, 2003, Orlando, FL.
    54. Similarity analysis of voice signals in the wavelet domain using dynamic time warping, Rahman Tashakkori and Courtney Bowers, Proceedings, AeroSense '03 conference, Wavelet Applications, Orlando, FL, Apr 23-27, 2003.  No. [5102-21]
    55. Classification of similar medical images in the lifting domain, C. W. Sallee, R. Tashakkori, Proceedings, SPIE's AeroSense '02 conference, Wavelet Applications IX-Medicines and Applications, Orlando, FL, Apr 1-5, 2002.  No. [4738-36]
    56. Effect of scanning of medical images on the performance of lifting schemes, R. Tashakkori, M. Tyler, X. Qi, C. W. Sallee,  Proceedings, SPIE's AeroSense '02 conference, Wavelet Applications  IX-Medicines  and Applications,  Orlando, FL,  Apr 1-5, 2002, No. [4738-37]
    57. Medical Image Compression Using Wavelet and Lifting Combined with New Scanning  Techniques, Rahman Tashakkori,  A Dissertation,  Louisiana State University, May 2001.
    58. Predictive Coding Integer-Based Wavelet Transform Approach to Diagnostically Lossless Medical Image Volume Compression, Xiaojun Qi, John M. Tyler, Oleg S. Pianykh, and Rahman Tashakkori, Proceedings of SCI/ISAS on Image, Acoustic, Speech and Signal Processing (IASSP), Vol. VI, pp. 375-379, Orlando, Florida, July 22-25, 2001.
    59. Prediction of Medical Images Using Wavelets, , R. Tashakkori, John M. Tyler, Oleg S. Pianykh. Proceeding, SPIE's AeroSense '2000 conference, Orlando, FL, Apr. 2000.
    60. Construction of Optimal Wavelet Basis for Medical Images, R. Tashakkori, John M. Tyler, Oleg S. Pianykh. Proceeding, SPIE's AeroSense '99 conference, Orlando, FL, Apr. 99.
    61. A Theoretical Model for Ferroelectric Polarization Controlled Superconductor Device, J.T. Wang, M. Chinkhota, R. Tashakkori, D. Bagayoko. Proceeding of New3Sc International Conference in Superconductivity, Baton Rouge, LA, February 1998.
    62. A Theoretical Model for Ferroelectric Polarization Controlled Superconductor Device, J.T. Wang, M. Chinkhota, R. Tashakkori, D. Bagayoko. In print, Nuclear Instruments and Methods in Physics Research, Section A.
    63. The Effect of Monomer evaporation in the Clarke-Vvedensky Model of Submonolayer Growth, P. M. Lam, R. Tashakkori, Yu Ke. Physical Review B, August 15, 1997.
    64. Discrete Ordinates Transport Calculations With Pointwise Cross Section Data, Proceeding of the American Nuclear Society Topical Meeting on Advances in Reactor Physics, Knoxville, Tennessee, April 11 to 15, 1994.
    65. Radiation Damage Studies for the SDC Electromagnetic Calorimeter, Radiation Physics and Chemistry, Vol. 41, No.12, pp. 243-252,1993.
    66. Radiation Damage Studies for the SDC Electromagnetic Calorimeter, SDC (Solenoidal Detector Collaboration) Technical Reports, SDC-92365, November 1992.
    67. Radiation Damage Studies for the SDC Electromagnetic Calorimeter, SDC (Solenoidal Detector Collaboration) Technical Reports, SDC-92172, January 1992.
    Presentations & Posters:
  • Honey Bee Global Issues: Role of Automated Monitoring Systems, Rahman Tashakkori, Global Symposium 2023, Appalachian State University, November 15, 2023, Boone, NC
  • Honey Bee Monitoring Systems and how we can help the bees, Rahman Tashakkori, Jefferson Landing, June 1, 2023, West jefferson, NC
  • Cybersecurity and Security Posture, Rahman Tashakkori, Guest Speaker, West Wilkes High School, Wilkesboro, NC, Friday May 5, 2023
  • Honey Bee Monitoring and Health, Rahman Tashakkori, Guest Speaker, The SD3250-Sustainable Livestock Course (October 27, 2022), Boone, NC
  • AppMAIS NC ROI Project, Rahman Tashakkori, Blue Ridge Mountain Club (October 26, 2022), Boone, NC
  • AppMAIS NC ROI Project, Rahman Tashakkori, Linville Land Harbor (September 13, 2022), Linville, NC
  • AppMAIS NC ROI Project, Rahman Tashakkori, Grandfather Mountain Foundation (September 1, 2022), Linville, NC
  • AppMAIS NC ROI Project, Rahman Tashakkori, Blowing Rock Art & History Museum (August 25, 2022), Blowing Rock, NC
  • AppMAIS NC ROI Project, Rahman Tashakkori, CS4App Program (July 13, 2022), Appstate
  • AppMAIS NC ROI Project, Rahman Tashakkori, Linville Ridge (June 20, 2022), Linville, NC
  • AppMAIS NC ROI Project, Rahman Tashakkori, Appalachian Energy Summit (June 9, 2022), Appstate
  • AppMAIS NC ROI Project, Rahman Tashakkori, Campus Sustainability & Climate Action Forum, February 7, 2022, Appstate
  • Honey Beehive Monitoring (Beemon/AppMAIS), Rahman Tashakkori, Chapel Hill High, Chapel Hill, NC, December 7, 2021 (Zoom)
  • Beemon/AppMAIS: Utilizing Applied Computing to Monitor Honey Bee Hives, Rahman Tashakkori Orange County Beekeepers Association (OCBA), November 11, 2021 (Zoom)
  • Intelligent Monitoring of Honey BeehivesBeemon/AppMAIS) Rahman Tashakkori Jefferson Landing Golf & Country Club Jefferson, NC, November 11, 2021
  • Beemon: Honey Bee Monitoring and Studying with Computing Tools Rahman Tashakkori The 3rd Research and Creative Activity at Appalachian, Appalachian State University, Sept 14, 2021
  • Keynote Speaker: Beemon - Utilizing applied computing to monitor honey bee hives Rahman Tashakkori the 9th International Conference on Current Trends in Advanced Computing (ICCTAC 2021 in Bangalore, India on June 3rd, 2021
  • Beemon - An Intelligent Honey Bee Monitoring System Rahman Tashakkori Southern Appalachian Honeybee Research Consortium 2020, Feb 22, 2020, Appalachian State University.
  • Computer Science Research Experience Motivates STEM Teachers 4th Annual Bridging the Gap Conference, McKimmon Conference and Training Center, Raleigh, NC, October 27-28, 2015.
  • Modern Distributed Computing EducationNSF CCLI Showcase, SIGCSE 2010, March 10-13, 2010.

    Posters and Presentations (Mentored Students):
    1. Swarm Identification and Audio Analysis, Mr. Chris Campell (Presenter), Mr. Logan Richardson, Dr. Rahman Tashakkori, Dr. Mitch Parry, Dr. Abdelbaset Hamza, and Dr. Tinghao Feng, The Southern Appalachian Honeybee Research Consortium (SAHRC) 2023, Virginia Tech, Saturday February 25, 2023.
    2. Honey Bee Stripe Detection and Analysis with Active Learning, Mx. Will O’Brien (Presenter), Mr. Logan Richardson, Dr. Rahman Tashakkori, Dr. Mitch Parry, Dr. Abdelbaset Hamza, and Dr. Tinghao Feng, The Southern Appalachian Honeybee Research Consortium (SAHRC) 2023, Virginia Tech, Saturday February 25, 2023.
    3. AppMAIS Simple Data Visualization Application, Mr. Aedan Simons-Rudolph (Presenter), Mr. Logan Richardson, Dr. Rahman Tashakkori, Dr. Mitch Parry, Dr. Abdelbaset Hamza, and Dr. Tinghao Feng, The Southern Appalachian Honeybee Research Consortium (SAHRC) 2023, Virginia Tech, Saturday February 25, 2023.
    4. The Appalachian Multi-purpose Apiary Informatics System , Mr. Chris Campell (Presenter), Dr. Rahman Tashakkori, Dr. Mitch Parry, Dr. Abdelbaset Hamza, and Dr. Tinghao Feng, The Southern Appalachian Honeybee Research Consortium (SAHRC) 2023, Virginia Tech, Saturday February 25, 2023.
    5. Estimating the Number of Honey Bee Drones at the Entrance of a Hive using Machine Learning Tools, William O'Brien, The State of North Carolina Undergraduate Research and Creativity Symposium (SNCURCS) 2021, Nov 12-13, 2021, Online Presentation .
    6. Beemon/AppMAIS: Utilizing Applied Computing to Monitor Honey Bee Hives, Joseph Howard, The State of North Carolina Undergraduate Research and Creativity Symposium (SNCURCS) 2021, Nov 12-13, 2021, Online Presentation .
    7. Estimating the Ratio of Drones to Worker Bees in a Honey Bee Hive Gabriel Arellano, The State of North Carolina Undergraduate Research and Creativity Symposium (SNCURCS) 2019, Nov 22-23, 2019, Duke University.
    8. Effect of Resizing Bounding Boxes on Honey Bee Hive Traffic Analysis Joe Graber, The State of North Carolina Undergraduate Research and Creativity Symposium (SNCURCS) 2019, Nov 22-23, 2019, Duke University.
    9. Low Cost UFSOOK-Based OCC Link for IoT Applications Tyler Tripp & Kevin kamto, co-Mentor with Dr. Hamza, The State of North Carolina Undergraduate Research and Creativity Symposium (SNCURCS) 2018, Nov 22-23, 2019, Duke University.
    10. Can Human Creative Processes Be Automated? Jacob Justice, Jackson Sippe, Andrew Thorp, The State of North Carolina Undergraduate Research and Creativity Symposium (SNCURCS) 2018, Nov 22-23, 2019, Duke University.
    11. Bee Monitoring Audio Analysis Ian Watts & Luke Craig, The State of North Carolina Undergraduate Research and Creativity Symposium (SNCURCS) 2018, Nov 22-23, 2018, NC State.
    12. Honeybee Hive Health Analysis Using Drone Population Diana Martinez & Joshua Jackson, The State of North Carolina Undergraduate Research and Creativity Symposium (SNCURCS) 2018, Nov 22-23, 2018, NC State.
    13. Interesting observations in honey bee videos Chloe Dorin & Patrick Beekman, The State of North Carolina Undergraduate Research and Creativity Symposium (SNCURCS) 2018, Nov 22-23, 2018, NC State.
    14. Bee Segmentation and Feature Extraction through Image Processing Rebecca Bryan & Aaron Parker, The State of North Carolina Undergraduate Research and Creativity Symposium (SNCURCS) 2018, Nov 22-23, 2018, NC State.
    15. What do Honey Bee Audio Recordings Reveal? Luke Craig, Graduate Research Symposium, William and Mary University, March 16-17, 2018
    16. 3D Reconstruction of Micro-CT Images for Identification of Coronary Collateral Vessels in Mice, Erik Cole, Graduate Research Symposium, William and Mary University, March 16-17, 2018
    17. Bee Audio Frequency Analysis, Preston Wilson & Christopher Smith, NCUR 2017, April 6-9, 2017, Memphis, TN.
    18. Estimating Beehive Activities Using Image Processing, Jonathan Brotherthan, NCUR 2017, April 6-9, 2017, Memphis, TN.
    19. Determining the Net Traffic at the Entrance of the Honeybee Hive, Gurney Buchanan & Edward S. Shuffler, NCUR 2017, April 6-9, 2017, Memphis, TN.
    20. Database Labs for Web Based Learning, Evangeline Luciano & Edward S. Shuffler, NCUR 2017, April 6-9, 2017, Memphis, TN.
    21. Predictive Seasonal Film Analysis of Honeybee Colonies, LaTaunya Tillman NCUR 2017, April 6-9, 2017, Memphis, TN.
    22. Involving High School Students with with Visualization and Image Processing, Rahman Tashakkori, Ahmad Ghadiri, and Sina Tashakkori CCSCNE-2015, April 17-18, 2015, College of Holy Cross, Worcester, MA.
    23. Remote Beehive Surveying, Nathan Hernandez, Michael Crawford, and Alexander Ratzloff, Mentor: Rahman Tashakkori, State of North Carolina Undergraduate Research & Creativity Symposium, November 22, 2014.
    24. Using Makey-Makey as an Educational and Programming Tool, Ahmar Gordon, Mentor: Rahman Tashakkori, State of North Carolina Undergraduate Research & Creativity Symposium, November 22, 2014.
    25. Monitoring Honeybee Hives using Raspberry Pis, Nathan Hernandez, Michael Crawford, and Alexander Ratzloff, Mentor: Rahman Tashakkori, National Conference on Undergraduate Research, University of Kentucky, Lexington, April 3, 2014.
    26. Leaf Identification on Android Devices, Jeffery C. Guin, Mentor: Rahman Tashakkori, National Conference on Undergraduate Research, University of Kentucky, Lexington, April 3, 2014.
    27. Correlation Between Body Measurements of Different Genders and Races, Saumya Goel, Rahman Tashakkori, The 9th Annual UNCG Regional Mathematics and Statistics Conference, University of North Carolina Greensboro, Nov. 2, 2013.
    28. Gaining a Thousand Words: Connecting Visualization, Comprehension and Memory, Gerald Gordner, Mentor: Rahman Tashakkori and Jere Miles, The 4th State of North Carolina Undergraduate Research and Creativity Symposium (SNCURCS), Nov 21, 2008, Appalachian State University.
    29. Grid-Based Image Processing, Darren Greene , Mentor: Rahman Tashakkori and Barry Kurtz, The 10th Annual Celebration of Student Research and Creative Endeavors, Appalachian State University, April 19, 2007.
    30. Stenganography and Steganalysis: Techniques and Detection in Digital Images, Shawn Windle, Tyler Foster, Rachell Morrison, and Nathan Vogt , Mentor: Rahman Tashakkori, The 10th Annual Celebration of Student Research and Creative Endeavors, Appalachian State University, April 19, 2007.
    31. Grid-based Processing using the Min-Max Algorithm, Josh Bean, Jake Coogle, and Jonathan Dehen , Mentor: Rahman Tashakkori, The 10th Annual Celebration of Student Research and Creative Endeavors, Appalachian State University, April 19, 2007.
    32. Parallel Computing: 1-D Wave Equations, Augustus Miraglia, Kenneth Love, and Jesse Mims , Mentor: Rahman Tashakkori, The 10th Annual Celebration of Student Research and Creative Endeavors, Appalachian State University, April 19, 2007.
    33. Remote Control of Telescopes in the Rankin Undergraduate Astronomy Laboratory, Mitchell Jareo, Jargowsky, Jameson, and Jeremey Booker , Mentor: Rahman Tashakkori and John Saken, The 10th Annual Celebration of Student Research and Creative Endeavors, Appalachian State University, April 19, 2007.
    34. Latex: Beyond Word Processing, Nathan Vish, Lauren Christopher, and Melissa Hecht, Mentor: Rahman Tashakkori, The 10th Annual Celebration of Student Research and Creative Endeavors, Appalachian State University, April 19, 2007.
    35. "A Nonlinear Statistical Approach to Knowledge Discovery in Mammogram Images", Reagan, Adam, Mentor: Tashakkori, Rahman, The 9th Annual Celebration of Student Research and Creative Endeavors, Appalachian State University, April 20, 2006.
    36. "Message Passing in Digital Images", Sholar, Chris, Mentor: Tashakkori, Rahman, The 9th Annual Celebration of Student Research and Creative Endeavors, Appalachian State University, April 20, 2006.
    37. "An Advanced Histogram Matching Application Using Java", Pannell Jr., Rodney, Mentor: Tashakkori, Rahman, The 9th Annual Celebration of Student Research and Creative Endeavors, Appalachian State University, April 20, 2006.
    38. "High Performance Convolution with MATLAB", Greene, Darren, Mentor: Tashakkori, Rahman, The 9th Annual Celebration of Student Research and Creative Endeavors, Appalachian State University, April 20, 2006.
    39. "CSEMS Online Data Management System", Jareo, Mitchell, Mentors: Tashakkori, Rahman, Norris, Cindy, and Wilkes, James, The 9th Annual Celebration of Student Research and Creative Endeavors, Appalachian State University, April 20, 2006.
    40. "CSEMS and Artificial Intelligence Robot Exhibit", CSEMS Seminar and AI Students, Mentors: Tashakkori, Rahman and Parks, Dee, The 9th Annual Celebration of Student Research and Creative Endeavors, Appalachian State University, April 20, 2006.
    41. "A Lifting-Based Knowledge Discovery in Microarray Data", Barlowe, Scott, Mentor: Tashakkori, Rahman, The 8th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 19, 2005.
    42. "A Dynamical Systems Approach to Modeling Thermodynamic and Hydrodynamic Systems", Chris Ellsworth, Tyler Foster, Chris Flanigan, and Daniel Quigley. Mentors: Tashakkori, Rahman, Marland, Eric, and Ginn, Mark. The 8th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 19, 2005.
    43. "An Efficient Medical Image Content-based Search Approach", Heffner, Steven, Mentor: Tashakkori, Rahman, The 8th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 19, 2005.
    44. "Practical Applications of Edge Detection Techniques in Image Processing", Jon Chapman and Adam Reagan Mentor: Tashakkori, Rahman, The 10th North Carolina Mini-Conference on Graph Theory, Combinatorics, and Computing, Appalachian State University, April 15, 2005.
    45. "Practical Applications of Edge Detection Techniques in Image Processing", Jon Chapman and Adam Reagan Mentor: Tashakkori, Rahman, The AppliedVis 2005 Conference, Asheville, NC. April 28, 2005.
    46. "Finding Shortest Paths in Large Data Sets", Chris Ellsworth, Mentor: Tashakkori, Rahman, The 9th North Carolina Mini-Conference on Graph Theory, Combinatorics, and Computing, Appalachian State University, April 16, 2004.
    47. "Knowledge Discovery in Medical Image Data Sets", Reagan, Adam, Mentor:Tashakkori, Rahman, The 7th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 26, 2004.
    48. "CODITO ERGO SUM: 3D Modeling and Animation Demo using OpenGL", Babel, Daniel, Mentor:Tashakkori, Rahman, The 7th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 26, 2004.
    49. "The Route Seeker Project", Ellsworth, Chris, Mentor:Tashakkori, Rahman, The 7th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 26, 2004.
    50. "Implementation of Integer-Based Wavelets Using Java Servlets", Dalton, Andrew R.; Mentor: Tashakkori, Rahman, The 6th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 28, 2003.
    51. "A Java - Based Tool For Teaching Image Processing Enhancement Techniques", Vachery, Shibu Y.; Verma  Monica; Mentor: Tashakkori, Rahman, The 6th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 28, 2003.
    52. "Extracting Anatomical Structures, Primarily Vertebrae, From Images of the Human Spine", Verma, Monica; Vachery, Shibu; Mentor: Tashakkori, Rahman, The 6th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 28, 2003.
    53. "A Frequency-based Non-uniform Quantization of Natural Images", Natalie Oviatt, Mentor: Tashakkori, Rahman, The 5th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 23, 2002.
    54. "Visualizing 3-D Atomic/Electronic Structures using an OpenGL Application", James Michael Soltys, Mentor: Tashakkori, Rahman, The 5th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 23, 2002.
    55. "A Monte Carlo Method OpenGL Program for Solving Complex Integrals", Steven J. McKinney, Mentor: Tashakkori, Rahman, The 5th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 23, 2002.
    56. "Detection of Microcalcifications in Digital Mammograms Using Wavelet Lifting Schemes", Jacqueline Holland, Mentor: Tashakkori, Rahman, The 5th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 23, 2002.
    57. Digital Image Processing Techniques in Medicine:  Better than the Human Eye?, Sandwich Seminar, Appalachian State University, Boone, NC, November 28, 2001.
    58. Effect of Scanning Procedure on the Digital Image Set Correlations, Casey Parks, Mentor: R. Tashakkori, the 4th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 10, 2001.
    59. Three-Dimensional Data Visualization Using Two-Dimensional Grayscale Image Extraction,  · VincentVocci, Mentors: R. Tashakkori and S. Williams, the 4th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 10, 2001.
    60. Determining the Most Effective Spatial Low Pass Filter for Removing Noise, Jonathan Teed, Mentor: R. Tashakkori, the 4th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 10, 2001.
    61. Detection of Simple Objects Within a Digital Image, Caleb Thorp, Mentor: R. Tashakkori, the 4th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 10, 2001.
    62. Similarity Analysis of Medical Images of Similar Sets in the Haar and Debauchies Lifting Domain, Chad Sallee, Mentor: R. Tashakkori, the 4th Annual Celebration of Student Research  and Creative Endeavors, Appalachian State University, April 10, 2001.
    63. Effect of Scanning Procedure on the Digital Image Set Compression, Casey Parks, Mentor: Rahman Tashakkori, the The 6th North Carolina Mini-Conference on Graph Theory, Combinatorial and Computing, Appalachian State University, April 10, 2001.
    64. Overview of the Latest Research in Medical Imaging and Research Opportunities, Graduate Seminar, Department of Computer Science, Appalachian State University, September 26, 2000.
    Workshops:
    1. The 1st AppMAIS Beekeepers Workshop, May 6, 2023, Appalachian State University, Boone, NC.
    2. Using Computer Science Tools and Applications to Teach Mathematics and Science (part 1), Rahman Tashakkori, R. Mitchell Parry, Robert Gotwals, Tracy Jones, Jennifer LeBlanc, and Matthew Charles. 4th Annual Bridging the Gap Conference, McKimmon Conference and Training Center, Raleigh, NC, October 27-28, 2015.
    3. Using Computer Science Tools and Applications to Teach Mathematics and Science (part 2), Rahman Tashakkori, R. Mitchell Parry, Robert Gotwals, Tracy Jones, Jennifer LeBlanc, and Matthew Charles. 4th Annual Bridging the Gap Conference, McKimmon Conference and Training Center, Raleigh, NC, October 27-28, 2015.
    4. Scaling STEM: STRATEGIES THAT ENGAGE MINDS 2015 CONFERENCE, April 12-13, 2015, Durham, NC.
    5. Teaching STEM using CS-based Modules, Rahman Tashakkori, Robert Gotwals, Michael Crawford, Jenna Schachner, Ahmar Gordon, and Austin Keener, Scaling STEM: STRATEGIES THAT ENGAGE MINDS 2015 CONFERENCE, April 12-13, 2015, Durham, NC.
    6. Research Experience for Teachers-CS Applications in Teaching STEM, Rahman Tashakkori and Mitch Parry, Appalachian State University, Nov. 15, 2014
    7. Research Experience for Teachers-CS Applications in Teaching STEM, Rahman Tashakkori and Mitch Parry, Appalachian State University, Nov. 16, 2013
    8. Modern Distributed Computing, Barry Kurtz & Rahman Tashakkori, Roanoke College, Salem, VA, March 26-27, 2010
    9. Gaining Students Participation, Rahman Tashakkori, Panel at the NSF STEP Grantees Meeting, Arlington, VA, March 3-5, 2010.
    10. A Model for Mentoring and Engaging Students through S-STEM and STEP, Rahman Tashakkori, Alan Utter, and Tracy Wright, North Carolina Campus Compact, 2010 P.A.C.E. Conference, Elon University, February 10, 2010.
    11. Modern Distributed Computing, Barry Kurtz & Rahman Tashakkori, Southern Polytechnic State University, Marietta, GA, December 4-5, 2009.
    12. Modern Distributed Computing, Barry Kurtz & Rahman Tashakkori, University of North Carolina-Greensboro, Greensboro, NC, .
    13. Appalachian's Visualization and Computing Teacher's Workshop, Rahman Tashakkori in collaboration with six faculty from various disciplines in the College of Arts and Sciences, Appalachian State University, June 26-29, 2005.
    Graduate Students' Theses:
    1. Understanding Hardware-Accelerated 2D Vector Graphics, Spencer C. Imbleau, Appalachian State University, December 2022. Thesis Committee.
    2. Automated Detection of Herbarium Specimens via Transfer Learning in Convolutional Neural Networks, Christopher L Campell, Appalachian State University, December 2019. Thesis Committee.
    3. Adaptive Segmentation of Cardiovascular Vessels, Erik Cole, Appalachian State University, August 2019. Thesis Committee Chair.
    4. Hierarchical Audio Structure for Virtual Classroom Implementation, Broderick DeSantis, Appalachian State University, August 2019. Thesis Committee.
    5. Developing an Extendable Web-Based Architecture for Honey Bee Data Visualization, Gurney Buchanan, Appalachian State University, May 2019. Thesis Committee Chair.
    6. ALEXA SKILL VOICE INTERFACE FOR THE MOODLE LEARNING MANAGEMENT SYSTEM, Michelle Melton, Appalachian State University, May 2019. Thesis Committee.
    7. Comparing Predictive Models for English Premier League Games, Zachary Andrews, Appalachian State University, May 2019. Thesis Committee Chair.
    8. Understanding Computer Science Academic Performance Using Principal Component Analysis, Christopher Smith, Appalachian State University, August 2017. Thesis Committee.
    9. One-to-One Scale Modeling for 3D Printing, Michael Yang, Appalachian State University, August 2017. Thesis Committee Chair.
    10. A Real-time Database System for Managing Aquarium Data, Devin Sink, Appalachian State University, August 2017. Thesis Committee Chair.
    11. Automated Collection of Honey Bee Hive Data Using the Raspberry Pi, Michael Crawford, Appalachian State University, August 2017. Thesis Committee Chair.
    12. A Control and Analysis System for Honey Bee Hives, Edward (Scott) Shuffler, Appalachian State University, August 2017. Thesis Committee Chair.
    13. Applying Package Management to MOD Installation, Stephen Bunn, Appalachian State University, May 2017. Thesis Committee.
    14. A Study of the Upper Domatic Number of a Graph, Nicholas Phillips, Appalachian State University, May 2017. Thesis Committee.
    15. Mobile Leaf Classification Application Utilizing a Convolutional Neural network , Timothy Jassmann, Appalachian State University, August 2015. Thesis Committee Chair.
    16. Automated Beehive Surveillance using Computer Vision, David Kale, Appalachian State University, August 2015. Thesis Committee Chair.
    17. Implementation of an Automated Image Processing System for Observing the Activities of Honey Bees, Ahmad Ghadiri, Appalachian State University, August 2013. Thesis Committee Chair.
    18. Wireless Data Acquisition for Apiology Applications, Luke Rice, Appalachian State University, August 2013. Thesis Committee Member.
    19. Web - based Automated Grading System, Phillip Meznar, Appalachian State University, May 2013. Thesis Committee Member.
    20. Segmentation and Extraction of Individual leaves from Plant Images for Species Classification, Dale Henries, Appalachian State University, August 2011. Thesis Committee Chair.
    21. Audio on the GPU: Real-Time Time Domain Convolution on Graphics Cards, Andrew Lachance, Appalachian State University, May 2011. Thesis Committee Chair.
    22. Classification of Plants using Images of Their Leaves, Biva Shrestha, Appalachian State University, May 2011. Thesis Committee Chair.
    23. Evaluating and Improving the Readability of Scientific Web Pages using Intelligent Analysis Tools, Seena Menon, Appalachian State University, May 2011. Thesis Committee Chair.
    24. Message Encoding in Images Using Lifting Techniques, Chris Sholar, Appalachian State University, December 2008. Thesis Committee Chair.
    25. Believability of Computer Games, Jere Miles, Appalachian State University, August 2008. Thesis Committee Chair.
    26. Data Mining of Sports Data, Kendal Brooks, Appalachian State University, August 2007. Thesis Committee Chair.
    27. GOLAY CODES: Codeword Construction and Error Correction Using Maples, Gus Miraglia, Appalachian State University, August 2007. Thesis Committee Member.
    28. Cluster and Grid-Based Image Processing, Darren Greene, Appalachian State University, May 2007. Thesis Committee Chair.
    29. CLOCKIT: Implementation and Evaluation, Kathryn Reid, Appalachian State University, May 2007. Thesis Committee Member.
    30. VitAssist: Viticulture Assistance Application, Design and Implementation, Scott Holland, Appalachian State University, May 2007. Thesis Committee Member.
    31. A Non-linear Statistical Approach to Knowledge Discovery in Mammogram Image Sets, Adam Reagan, Appalachian State University, August 2006. Thesis Committee Chair.
    32. A Lifting-Based Knowledge Discovery in Microarray Data, Scott Barlowe, Appalachian State University, August 2005. Thesis Committee Chair.
    33. Extraction of Anatomical Structures, Primarily Inter-Vertebral Disks, From Images of the Human Spine, Monica Verma, Appalachian State University, August 2003. Thesis Committee Chair.
    34. Similarity Analysis of Voice Signals in the Wavelet Domain Using Dynamic Time Warping Methods, Courtney Bowers, Appalachian State University, August 2002. Thesis Committee Chair.
    Graduate Projects:
    1. Source Code Vulnerability Localization, James Canterbury, Appalachian State University, December 2023.
    2. NASA MPLNET Data Tool, Jordan Greene, Appalachian State University, December 2023.
    3. HiveMind - Designing a Secure ARM-Based Embedded System, Alex Clarke, Appalachian State University, July 2023.
    4. Towards Accurate Bee Arrival and Departure Counts using Mixture of Gaussian Based Background Subtraction, Curt Bridgers, Appalachian State University, July 2023.
    5. HiveMind - Designing a Secure ARM-Based Embedded System, Alex Clarke, Appalachian State University, July 2023.
    6. Jenkins for AppMAIS (Honey Bee Monitoring System), Joe Graber, Appalachian State University, July 2022.
    7. Soccer Match Prediction, Daniel Avila, Appalachian State University, Dec 2021.
    8. Multithreaded Microkernel with Remotely Updating Threads, Matthew Glancy, Appalachian State University, Dec 2021.
    9. Aora, Mattias Sterckx, Appalachian State University, Dec 2021.
    10. Honey Bee Statistics with Python, Courtney Dixon, Appalachian State University, Aug 2020.
    11. FanD: Identifying Fanning Bees in a Hive Surveillance Video, Aidan O'Brien, Appalachian State University, Aug 2020.
    12. Detecting Honey Bee Fights in Video, Patrick Beekman, Appalachian State University, Aug 2019.
    13. Two Way Communication of STEAM Robots, Eli McGalliard, Appalachian State University, Aug 2019.
    14. Investigation of Diversity in Honey Bee Hives using Machine Learning and Image Processing, Aaron Parker, Appalachian State University, Aug 2019.
    15. EventMan - A Web-Based Itinerary Management and Coordination System, Nathan Davis, Appalachian State University, 2017.
    16. Text Mining with Hadoop, Michael Kepple, Appalachian State University, 2014.
    17. Mobile Leaf Recognition, Matthew Segall, Appalachian State University, 2013.
    Undergraduate Honors Theses
    1. "A Framework for Neural Network Training on Honey Bee Image Data Using Active Learning", William R. O'Brien, Appalachian State University, May 2023.
    2. "Detecting Bee Hive behavioral Changes Through Frequency and Signal Analysis of Audio Files", Preston Wilson, Appalachian
    3. "CARPE DIEM PWA: A Suicide Prevention Progressive Web Application", Ethan Hahn, Appalachian State University, Aug 2021.
    4. "Detecting Bee Hive behavioral Changes Through Frequency and Signal Analysis of Audio Files", Preston Wilson, Appalachian State University, Aug 2019.
    5. "Shift, Global Research and Programmer Collaboration", Robert Compton, Appalachian State University, May 2017.
    6. "Facial Impression Recognition with Kinects", Allison Nelson, Appalachian State University, May 2013.
    7. "Grid System Security", Steven J. McKinney, Appalachian State University, May 2006.
    8. "An Efficient Medical Image Content-Based search Approach", Steven M. Heffner, Appalachian State University, May 2005.
    9. "Knowledge Discovery in Medical Images", Adam Reagan, Appalachian State University, May 2004.
    10. "Reed-Solomon Codes in Java", Augustus A. Miraglia, May 2004, Second Reader.
    11. "Volume Rendering Techniques for Commodity Hardware", James Soltys, Appalachian State University, June 2003.
    12. "Intelligent Data Analysis and Knowledge Discovery in Databases: Selected Techniques and Applications in Medicine", William Jackson Perkins Jr., December 2002.  Second Reader.
    13. "Detection of Microcalcifications in Digital Mammograms Using Wavelet Lifting Schemes", Jacqueline Holland, Appalachian State University, May 2002.
    14. "Three-dimensional Visualization of Brain Based on Two-dimensional MRI Images", Alexei Shendrick, Appalachian State University, December 2001.
    Grants and External Funding (Total at Appstate to date $7,122,416)
    1. Mountain2Sea Louis Stokes Alliance for Minority Participation (M2S NCLSAMP), 2022-2028, NSF LSAMP grant, Co-PI, Program Director, ~$3.4M (Appstate share ~$500k)
    2. AppMAIS: App State Multipurpose Apiary Informatics System, 2021-2024, NC ROI grant, PI, ~$1.1M
    3. CS4App: Bringing Computer Science to High Schools in Rural Appalachia [1923373], 2020-2022, PI, $300K
    4. The ECRS Computer Science High Achievers Scholarship, 2019-2023, Program Director, $176K
    5. Appalachian High Achievers in STEM NSF S-STEM [1742282], 2018-2023, PI, $1M
    6. Computer Science Innovation and Entrepreneurship (ECRS), 2015-2019, Program Director, $90K
    7. High Achievers in Computer Science and Mathematics NSF S-STEM [1259496], 2013-2017, PI, $628K
    8. McKinney Innovation Scholarship in Conceptual and Physical Sciences, 2013-2018, Program Director, $128K
    9. Research Experience for Teachers: Data Analysis & Mining, Image Processing, and Visualization NSF RET [1301089], PI, $486K
    10. Collaborative Research: Transforming Computer Science Education with Microlabs, NSF TUES [1122752], Co-PI, $59,759.00
    11. Computer Science Workshop for High School Teachers, Google, June 2011, Co-PI, $20,000
    12. Raman Spectroscopy Equipment to Develop and Apply a Novel Technique for the Structural Characterization of Biological Materials Sponsoring Organization, Feb 2010-Jan 2011, North Carolina Biotechnology Center, Co-PI, $180,000
    13. Computer Science Workshop for High School Teachers, Google, June 2010, Co-PI, $20,000
    14. Appalachian Undergraduate Academy of Science, 2008-2012, NSF-STEP[0756928], ~$1000,000.
    15. Program for Attracting and Retaining Scholars to Computer Science and Mathematics, 2008-2011, NSF-S-STEM [0806814], ~$141,000.
    16. Program for Attracting and Retaining Scholars to Computer Science and Mathematics, 2006-2011, NSF-S-STEM [0630984], ~$459,000.
    17. Modern Distributed Computing, 2007-2008, NSF-CCLI [0737355], ~$150,000
    18. NC-HPC - The Consortium to Promote Computational Science and High Performance Computing Project, UNC Office of President, 2004-2006, $650,000
    19. Program for Attracting and Retaining Scholars to Computer Science and Mathematics, 2004-2008, NSF-CSEMS, ~$136,162.
    20. Program for Attracting and Retaining Scholars to Computer Science and Mathematics, 2002-2006, NSF-CSEMS, ~398,495.
    21. URC grant, Graduate School, Appalachian State University, Summer 2002, $1,250
    22. Parallel PC Cluster (LEQSF). July 99, $ 112,000
    23. Hewlett Packard Diversity Grant. Director, September. 1999, $37,500
    24. Instructional Lab Grant for Microsoft Educational Software. PI, August. 1998-2000, $43,700
    Honors and Awards:
  • Macebearer, College of Arts and Sciences Commencement, December 15, 2023
  • Keynote Speaker, the 9th International Conference on Current Trends in Advanced Computing, ICCTAC 2021 in Bangalore, India on June 3rd, 2021
  • Distinguished Teaching Award, Bridging the Gap, 2016.
  • Distinguished Graduate Faculty Award, 2011-2012, Appalachian State University.
  • The Board of Governors' Award for Excellence in Teaching, 2009-2009, Appalachian State University.
  • William C. Strickland Outstanding Young Faculty Award, 2003-2004, Appalachian State University.

    • Proposal Review:
  • National Science Foundation, May 24-25, 2023 (Online)
  • National Science Foundation, RET Proposal Review Committee Member, January 2012
  • National Science Foundation, S-STEM Proposal Review Committee Member, 2006 & 2009