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Publications

College of Computer Science and Engineering

Professor Bilal Khan

  1. Karen Bhor Giron,  Bilal M. Khan. Exploring Wearable Interactive Technologies for Understanding and Assessing Autism Spectrum Disorder Through Machine Learning Analysis of Communication and Social Interaction. 13th Annual Meeting of the Minds, Student Research Symposium, San Bernardino CA April. 2024.
  2. Nathan Kelly,  Abir Hussain, Khalil Dajani, Yunfei Hou,  Wasiq Dr Khan, Bilal M Khan. A Deep Learning Approach to Sheep Segmentation and Activity Classification Utilizing U-Net and Long Short Term Memory Models. Best oral presentation. Student Forum, DSAA’2024, the 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA).San Diego, CA, United States: October 6th-10th, 2024
  3. Nathan A. Kelly, Bilal M. Khan, Muhammad Y. Ayub, Abir J. Hussain, Khalil Dajani, Yunfei Hou, Wasiq Khan, Video dataset of sheep activity for animal behavioral analysis via deep learning, Data in Brief, Volume 52, 2024, 110027, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2024.110027

Professor Jennifer Jin

  1. Vishwa Bhatt, Jennifer Jin. Advancing AI: The Science of Prompt Engineering for Deep Learning and Security. 39th CSUSB Student Research Competition, California State University San Bernardino, CA, USA February 14, 2025.
  2. Jonathan Aguilar, Jennifer Jin.  Deep Clustering with DeepShell. 39th CSUSB Student Research Competition, California State University San Bernardino, CA, USA February 14, 2025.
  3. Vishwa Bhatt, Jennifer Jin. Prompt Engineering & AI-Assisted Learning: Improving ChatGPT’s Response Quality. 14th Annual Meeting of the Minds, CSUSB, April 10th, 2025
  4. Vishwa Bhatt, Fruzsina Ladanyi, Jennifer Jin. Harnessing AI for medical coding: A deep learning approach to current procedural terminology (CPT) code prediction. 14th Annual Meeting of the Minds, CSUSB, April 10th, 2025

Professor Nabeel Alzahrani

  1. Farheen Akther, Nabeel Alzahrani. Bias Mitigation in Deep Learning: A Survey of Modern Techniques. 39th CSUSB Student Research Competition, California State University San Bernardino, CA, USA February 14, 2025.
  2. Laxman Kumar Busetty, Nabeel Alzahrani. Mitigating Adversarial Threats: Recent Insights into AI Attack and Defense Mechanisms. 39th CSUSB Student Research Competition, California State University San Bernardino, CA, USA February 14, 2025.
  3. Laxman Kumar Busetty, Nabeel Alzahrani. Enhancing conversational Ai with Retrieval- Augmented Generation: A modern Survey. 39th CSUSB Student Research Competition, California State University San Bernardino, CA, USA February 14, 2025.
  4. Mohammed Arfa Uruj, Nabeel Alzahrani. Overfitting Mitigation in Deep Learning: A Survey of Modern Techniques. 39th CSUSB Student Research Competition, California State University San Bernardino, CA, USA February 14, 2025.
  5. Mohammed Arfa, Nabeel Alzahrani. Cancer Detection Using Deep Learning: A Survey of Modern Techniques. 39th CSUSB Student Research Competition, California State University San Bernardino, CA, USA February 14, 2025.
  6. Garret Wulc, Shishir Ketha, Nabeel Alzahrani. Deep Learning Scalability: A Survey of Challenges, Techniques, and Future Trends. 39th CSUSB Student Research Competition, California State University San Bernardino, CA, USA February 14, 2025.
  7. Shishir Ketha, Shreya Karamchedu, Nabeel Alzahrani. Survey of Contemporary Techniques for Explainability in Deep Learning. 39th CSUSB Student Research Competition, California State University San Bernardino, CA, USA February 14, 2025.
  8. Alzahrani, N., “Accessible AI and HPC Education for All,” Association for Computing Machinery (ACM) Practice & Experience in Advanced Research Computing (PEARC ’25) Conference, Columbus, OH, United States, July 20–24, 2025.

Professor Qiuxiao Chen

  1. Alexis Luevanos, Calvin Glisson, Vamsi Sivakavi, Qiuxiao Chen. Language Explanations for Self-Driving Scenes. Student Forum, DSAA’2024, the 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA).San Diego, CA, United States: October 6th-10th, 2024
  2. Calvin Glisson, Qiuxiao Chen*. High-frequency Shuffle Data Augmentation for Bird’s-Eye-View Map Segmentation. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2025
  3. Calvin Glisson, Qiuxiao Chen. Frequency Robustness for Self-Driving Cars. 39th CSUSB Student Research Competition, California State University San Bernardino, CA, USA February 14, 2025
  4. Calvin Glisson, Qiuxiao Chen. HSDA: High-frequency shuffle data augmentation for bird’s-eye-view map segmentation. 13th Annual Meeting of the Minds, Student Research Symposium, San Bernardino CA April. 2024

Professor Yan Zhang

Peer-Reviewed Journal Articles  (2023 to present):

  1. Logan Ashbaugh, Yan Zhang, A Comparative Study of Sentiment Analysis on Customer Reviews Using Machine Learning and Deep Learning. Computers, 13(12), pp. 340, 2024. DOI:10.3390/computers13120340

Conference Proceedings (2023 to present):

  1. Yan Zhang, David Vargas-Monroy, Predicting Medium-Term Trends of Stock Market Indexes with Deep Learning. In Proceeding of the International Joint Conference on Rough Sets (IJCRS 2025), LNAI 15710, pp. 383–404, Springer, 2025. DOI:10.1007/978-3-031-92741-6_28
  2. Savannah Hebert, Yan Zhang, Pneumonia Detection in Chest X-ray Images with Deep Learning. In Proceeding of the International Joint Conference on Rough Sets (IJCRS 2025), LNAI 15710, pp. 257–271, Springer, 2025. DOI:10.1007/978-3-031-92741-6_19
  3. Bruce Nguyen, Yan Zhang, A Comparative Study of Diabetes Prediction Based on Lifestyle Factors Using Machine Learning. In Proceeding of the conference CSCSU 2025. DOI:10.48550/arXiv.2503.04137
  4. Aswin Kumar Nalluri, Yan Zhang, A Smart Hybrid Enhanced Recommendation and Personalization Algorithm Using Machine Learning. In Proceeding of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR 2024, vol 1, pp. 465-472, SciTePress, 2024. DOI:10.5220/0013064100003838
  5. Venkata Sai Krishna Chaitanya Kandula, Yan Zhang, Automated Brain Tumor Classification with Deep Learning. In Proceeding of the International Joint Conference on Rough Sets (IJCRS 2024), LNCS 14840, pp. 310--324, Springer, 2024. DOI:10.1007/978-3-031-65668-2_21
  6. Shuiyi Kuang, Yan Zhang, A Long-Term Funds Predictor Based on Deep Learning. In Proceeding of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR 2023, vol 1, pp. 347-354, ScitePress, 2023. DOI:10.5220/0012206400003598.
  7. Asitha Thumpati, Yan Zhang, Towards Optimizing Performance of Machine Learning Algorithms on Unbalanced Dataset. In Proceeding of DSML 2023. Computer Science & Information Technology (CS & IT), pp. 169-183, Vol. 13. No. 19, 2023. DOI:10.5121/csit.2023.131914

Oral Presentations (2023 to present):

  1. Nathan Lopez, Kira Phan, Huynh Le, Yan Zhang, A Comparative Study on Textual Medical Note Classification with Machine Learning, Oral presentation at 2025 CSUSB Undergraduate Summer Research Program Mini-Conference.
  2. David Vargas-Monroy, Yan Zhang, Labeling Textual Medical Notes with Deep Learning. Oral presentation at the 2025 STEM-NET Edison Student Research Symposium.
  3. Logan Ashbaugh, Yan Zhang, Sentiment Analysis on Customer Reviews with Machine Learning and Deep Learning. Oral presentation at the 14th CSUSB Annual “Meeting of the Minds” Student Research Symposium, 2025.
  4. David Vargas-Monroy, Yan Zhang, Predicting Medium-Term Trends of Stock Market Indexes with Deep Learning. Oral presentation at the 14th CSUSB Annual “Meeting of the Minds” Student Research Symposium, 2025.
  5. Savannah Hebert, Yan Zhang, Pneumonia Detection in Chest X-ray Images with Deep Learning. Oral presentation at the 14th CSUSB Annual “Meeting of the Minds” Student Research Symposium, 2025.
  6. Ana Sordo, Yan Zhang, A Comparative Study on Decoding Speech from Brain Signals Using Machine Learning and Deep Learning. Oral presentation at the 14th CSUSB Annual “Meeting of the Minds” Student Research Symposium, 2025.
  7. Bruce Nguyen, Yan Zhang, A Comparative Study of Diabetes Prediction Based on Lifestyle Factors Using Machine Learning. Oral presentation at the 14th CSUSB Annual “Meeting of the Minds” Student Research Symposium, 2025.
  8. Pedro Felix, David Vargas-Monroy, Yan Zhang, Deep Learning for Predicting Long-Term Index Fund Trends, Oral presentation at 2024 CSUSB Undergraduate Summer Research Program Mini-Conference.
  9. David Vargas-Monroy, Yan Zhang, Classifying Rice with Machine Learning, Oral presentation at the 2nd Annual CSU AI for Social Good Undergraduate Innovation Symposium, 2024.
  10. Logan Ashbaugh, Yan Zhang, Sentiment Analysis on Customer Reviews with Deep Learning, Oral presentation at the 13th CSUSB Annual “Meeting of the Minds” Student Research Symposium, 2024.
  11. David Vargas-Monroy, Yan Zhang, Labeling Medical Notes with Deep Learning, Oral presentation at the 13th CSUSB Annual “Meeting of the Minds” Student Research Symposium, 2024.
  12. Pedro Felix, Yan Zhang, Investigating Public Opinion Sentiment Towards Police Departments via Social Media, Oral presentation at the 13th CSUSB Annual “Meeting of the Minds” Student Research Symposium, 2024.
  13. Chris Hyer, Logan Ashbaugh, Nicol Perez, Yan Zhang, Predicting Drug-Drug Interactions Based on Drug Feature Extraction and Drug Similarity, Oral presentation at 2023 CSUSB Undergraduate Summer Research Program Mini-Conference. 

Poster Presentations (2023 to present):

  1. Savannah Hebert, Yan Zhang, Pneumonia Detection in Chest X-ray Images with Deep Learning. Poster presentation at the 14th CSUSB Annual “Meeting of the Minds” Student Research Symposium, 2025.
  2. David Vargas-Monroy, Yan Zhang, Predicting Medium-Term Trends of Stock Market Indexes with Deep Learning. Oral and Poster presentation at the 14th CSUSB Annual “Meeting of the Minds” Student Research Symposium, 2025.
  3. David Vargas-Monroy, Yan Zhang, Labeling Medical Notes with Deep Learning, Oral and Poster presentation at the 13th CSUSB Annual “Meeting of the Minds” Student Research Symposium, 2024.
  4. Aswin Kumar Nalluri, Yan Zhang, A Smart Hybrid Enhanced Recommendation and Personalization Algorithm Using Machine Learning. Poster presentation at the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR 2024).
  5. Ivan Lopez, Yan Zhang, Satirical News Detection with Semantic Feature Extraction and Machine Learning, Poster presentation at the 12th CSUSB Annual “Meeting of the Minds” Student Research Symposium, 2023.

Professor Yunfei Hou and Professor Kimberly Collins (Department of Public Administration at the Leonard Transportation Center)

  1. Khatri, B., Ayyagari, S. K., Der Wartanian, R., Collins, K., & Hou, Y. (2023). Towards electrification: Traffic analysis of medium-and heavy-duty vehicles in the Inland Empire. In Proceedings of the Knowledge Discovery and Data Mining (KDD), August 2023, Long Beach, CA, USA.
  2. Der Wartanian, R. (2023). Deciphering vehicle traffic patterns and connectivity: San Bernardino County. Presented at the William and Barbara Leonard Transportation Center 2023 Mobility Dialogue Series, October 2023, Online.
  3. Collins, K., & Der Wartanian, R. (2024). Analysis of vehicle miles traveled (VMT) in San Bernardino County: A data-driven approach for sustainable and equitable transportation planning. Presented at the StreetLight Summit 2024, February 2024, Online.
  4. Ayyagari, S. K., Khatri, B., Collins, K., Der Wartanian, R., & Hou, Y. (2024). Navigating San Bernardino County: Deciphering vehicle traffic patterns for commuters. Presented at the FISTS 2024: 4th IEEE Forum for Innovative Sustainable Transportation Systems, February 2024, Riverside, CA, USA.
  5. Ayyagari, S. K. (2024). San Bernardino County vehicle traffic patterns. Presented at The Colorado River Basin Symposium on Sustainable Energy, Environment, and Urban Development (CRB-SEED), March 2024, Las Vegas, NV, USA.
  6. Carolina Carlos (2024). Sustainable Pathways: Connecting Affordable Housing with Inclusive Infrastructure. Presented at the Colorado River Basin Symposium on Sustainable Energy, Environment, and Urban Development (CRB-SEED), March 2024, Las Vegas, NV, USA. (Special Recognition, Sustainable Environment track)
  7. Bhavik, B. (2024).  Moving Towards the Electrification of Medium- and Heavy-Duty Vehicle in the Inland Empire. Presented at the Colorado River Basin Symposium on Sustainable Energy, Environment, and Urban Development (CRB-SEED), March 2024, Las Vegas, NV, USA.
  8. Aaron Suay, Marco Zambrano, Shannon Moreno, Gregory Huntley, Fernando Guerra, Yunfei Hou. Dual-Function Robotic Arm for Prosthetic and Remote Applications. 39th CSUSB Student Research Competition, California State University San Bernardino, CA, USA February 14, 2025.
  9. Armando Ceja-Lua, Yunfei Hou. Alarming High DUI Fatality in the Inland Empire: A Data-Driven Perspective. 39th CSUSB Student Research Competition, California State University San Bernardino, CA, USA February 14, 2025.
  10. Lazaro Ayala, John Matthew Alvarez, Emmanuel Banuelos, Israel Barragan, Andres Rivera, Yunfei Hou. Prototyping a Smart Home Security System. 39th CSUSB Student Research Competition, California State University San Bernardino, CA, USA February 14, 2025.

School of Cyber & Decision Sciences

Professor Sepideh Alavi

  1. Mohabbati-Kalejahi, N.;Alavi, S.; Toragay, O. A Mixed-Integer Programming Framework for Drone Routing and Scheduling with Flexible Multiple Visits in Highway Traffic Monitoring. Mathematics 2025, 13, 2427. https://doi.org/10.3390/math13152427

Professor Nasrin Mohabbati

  1. Mohabbati-Kalejahi, N.;Alavi, S.; Toragay, O. A Mixed-Integer Programming Framework for Drone Routing and Scheduling with Flexible Multiple Visits in Highway Traffic Monitoring. Mathematics 2025, 13, 2427. https://doi.org/10.3390/math13152427

Department of Chemistry & Biochemistry

Professor Joyce Pham

  1. Cariaga, J.; Pham, J. “Computational Tools Applied to Solid State Chemistry”. CSUSB-Center for Advanced Functional Materials Open House. Poster Session. San Bernardino, CA. September 2024.
  2. Ochoa, K.; Pham, J. “Computation-Guided Synthesis of Titanium Selenium Tellurides”. 37th CSUSB Student Research Competition. Oral Presentation. CSUSB. San Bernardino, CA. February 2023.
  3. Ochoa, K.; Pham, J. “Electronic Structure Theory and Synthesis of Transition-Metal Selenium Tellurides”. Southern California Conference for Undergraduate Research. Poster Session. Pepperdine University. Malibu, CA. November 2022.
  4. Young, K.; Pham, J. “Computation-Guided Synthesis of Alkali–Transition-Metal–Halides”. Southern California Conference for Undergraduate Research. Poster Session. Pepperdine University. Malibu, CA. November 2022.
  5. Young, K.; Pham, J. “Computation-Guided Synthesis of Alkali–Transition-Metal–Halides”. CSUSB-Center for Advanced Functional Materials Open House. Poster Session.  San Bernardino, CA. September 2022.
  6. Ochoa, K.; Pham, J. “Electronic Structure Theory and Computation-Guided Synthesis of Transition-Metal Tellurides”. CSUSB PATHS-Fellowship: Summer Research Conference. Oral Session. August 2022.
  7. Valentin, A.; Toombs, A.; Pham, J. “Mg-Based Compounds Using Computation to Guide Synthesis”. Southern California Conference for Undergraduate Research. Oral Session. Remote Synchronous. November 2021.
  8. Valentin, A.; Toombs, A.; Pham, J. “Investigation of MgZnIn using Computational Methods to Guide Synthesis”. CSUSB-Center for Advanced Functional Materials Open House. Poster Session.  San Bernardino, CA. September 2021.
  9. Barcenas Silva, M.D.; Pham, J. “Electronic Structures & Atomic Site Preferences of γ-Brass Pseudo-Binary Mn2Zn11-Ni2Zn11” CSU-Wide STEM-NET Edison Student Research Symposium. Oral Session. Remote synchronous. May 2021.
  10. Ghanta, S.; Mondal, A.; Das, A.; Silva, M.D.; Pham, J.; Bera, A.K.; Saha, B; Yusuf, S.M.; Dolinšek, J.; Jana, P.P. “Atomic Site Preference, Electronic Structures, and Magnetic Properties of γ-Brass Type Pseudo-Binary Mn2Zn11–Ni2Zn11 at High Mn-Contents.” Journal of Alloys and Compounds 2022 932, 167599.

Professor Kimberley R. Cousins

  1. Kimberley Cousins (with six student co-authors) “Finding new function among known organic and organometallic crystalline materials” presented at CINF and SciMix, American Chemical Society National Meeting, New Orleans, LA, March 17-21, 2024.
  2. Ana Garcia Godinez (Kimberley Cousins, Mentor), “Computational Analysis and Crystallization of Potential Piezoelectric and Ferroelectric Single Crystals,” Southern California Conference on Undergraduate Research (SCCUR), Fullerton, CA, Nov 18, 2023.
  3. Anayely DeLaTorre (Kimberley Cousins, Mentor), “How Does Tenofovir Interact with the Au(111) Surface”, abstract accepted for presentation at the Southern California Conference on Undergraduate Research, San Bernardino CA Nov. 2024.

Department of History

Professor Kate Lizska

  1. 3D Modeling at Wadi el-Hudi
  2. Wadi el-Hudi Expedition (WeH) -  Digital Twin of an Archaeological Landscape. An effort to 3D capture with photogrammetry all of the archaeological sites of a 100 km2 region of the Egyptian desert, 2019
  3. Robert and Frances Fullerton Museum of Art (RAFFMA) - Digital Twin of the Exhibit A Journey to the Beyond. A digital twin of the exhibit of Ancient Egyptian objects at RAFFMA, CalState San Bernardino: 2020-2021
  4. 3D Digitization - Museum Objects. Since 2020, More than 300 objects at RAFFMA and other museums have been digitized in 3D using photogrammetry. These objects have a range of materialsls  each posing different challenges for 3D modeling: pottery, metal, cloth, wood, paint, stone, glass, etc. Interactive models of these are present on RAFFMA’s Sketchfab page
  5. 3D Digitization - Archaeological Artifacts, Since 2021, 150 artifacts from the Wadi el-Hudi Expedition have been digitized in 3D using photogrammetry.
  6. “Objects in Context” - Virtual Reconstructions and Interpretations: In museum work at RAFFMA and other places, animations of objects showing their original uses and reconstruction of missing parts.
  7. Archaeological and Architectural Visualizations
  8. Training in 3D Tech: Trained students and professionals in 3D technology. A  series of instructional steps for learning and implementing 3D capture with photogrammetry for museums and fieldwork.
  9. Liszka, Kate. 2024. “Evidence for Pastoral Nomads and Travelers in the Eastern Desert: Site 51 and Beyond at Wadi el-Hudi, Egypt.” In Near Eastern Archaeology.
  10. Brand, Meredith and Kate Liszka. 2023. “A desert Middle Nubian amethyst mining camp at Wadi el-Hudi.” In Sudan & Nubia 27: 24-47.
  11. Brand, Meredith, Bryan Kraemer, and Kate Liszka. 2022. “Living and Working at the early Middle Kingdom Amethyst Mining Settlement Site 5, Wadi el-Hudi.” In Daily Life of Ancient Egyptian Settlements, ed. Johanna Sigl. SDAIK 47, Otto Harrassowitz, 41-55.
  12. Liszka Kate, Under Review. “We Have Come to This Desert: Place-making at Wadi el-Hudi.” Planned for C. Alù (ed.), Place-making in the Desertscape: The Socialisation of the Egyptian-Sudanese Eastern Desert Landscape in the Longue Durée (Brepols Publishers, forthcoming).
  13. Wilson, Amy, Bryan Kraemer, and Kate Liszka. Under Review. “Stela of the Viceroy Usersatet from Wadi el-Hudi (WH255).” Journal of The American Research Center in Egypt.
  14. Liszka, Kate, Bryan Kraemer, and Meredith Brand.  Under Review. “Organization of Amethyst Mining at Wadi el-Hudi in the Greek and Roman Periods.”  In Pots, Pepper, Charcoal and Bread: The Material Economy of the Eastern Desert in the Ptolemaic and Roman Periods, ed. Jennifer Gates-Foster and Laurel Hackley. Maison de l’Orient et de la Méditerranée Editions.
  15. Liszka, Kate and Bryan Kraemer. 2024. “Tales from the Land of Amethyst: Reconstructing Stories from Stelae at Wadi el-Hudi.” Scribe Magazine 14: 18-28.
  16. Kraemer, Bryan Under Review. “‘Weenak,’ Hans-Joachim von der Esch’s Travelogue and its Value for Understanding Desert Networks around Wadi el-Hudi.” Planned for C. Alù (ed.), Place-making in the Desertscape: The Socialisation of the Egyptian-Sudanese Eastern Desert Landscape in the Longue Durée (Brepols Publishers, forthcoming).
  17. Liszka, Kate. 2017. “Egyptian or Nubian?: Settlement Architecture at Wadi el-Hudi, Wadi es-Sebua, and the Eastern Desert.”  Journal of Egyptian Archaeology 103: 35-51
  18. Liszka, Kate and Bryan Kraemer. 2023. “Conserving and Recording Stelae from the Amethyst Mines of Wadi el-Hudi.” American Research Center in Egypt, Antiquities Endowment Fund.
  19. Liszka, Kate. 2018. “Preserving and Modelling Egypt’s Wadi el-Hudi for the World.”  Council of American Overseas Research Centers Field Notes and News, published June 13, 2018.
  20. Liszka, Kate. 2018. “Site 4 at Wadi el-Hudi: A Lost Amethyst Mining Settlement.” Egyptian Archaeology 51: 36-40.
  21. Liszka, Kate. 2017. “Salvaging and Protecting the Archaeology of Wadi el-Hudi, Eastern Desert.”  Bulletin of the American Research Center in Egypt 210: 16-21.
  22. Liszka, Kate. 2015. “Gems in the Desert: Recent Work at Wadi el-Hudi.” Egyptian Archaeology 46: 37-40.
  23. Liszka, Kate “Enriching Each Other: The Integral Relationship between Wadi el-Hudi and Aswan” for Annual Scholar’s Symposium 2024 for the Society for the Study of Egyptian Antiquities, November 2, 2024
  24. Liszka, Kate “We Came to This Desert: Place-making at Wadi el-Hudi” for an International Conference on Place-Making in the Desertscape at the French Archaeological Institute in Cairo and the Polish Center of Mediterranean Archaeology, April 27-30, 2024
  25. Liszka, Kate “Communities of the Desert, Communities of the Nile: Pastoral Nomads and Travelers at Wadi el-Hudi.” Invited Lecture for the Borderscape Seminar Series Polish National Science Center, November 22, 2023
  26. Liszka, Kate “Survey of Dihmit South, the Middle Kingdom Fortified Settlement, Cairn Hill, and Amethyst Mine.” American Research Center in Egypt 74st Annual Meeting, April 19-22, 2024.
  27. Liszka, Kate “Road to Wadi el-Hudi: Networks, Routes, Landscapes, and the Locals in the Eastern Desert” American Society of Overseas Research, Nov 16-19, 2022 and American Research Center in Egypt 72st Annual Meeting, April 22-24, 2022
  28. Liszka, Kate “The Complexities of Various Nubian Groups at Wadi el-Hudi,” at the 15th International Congress of Nubian Studies, Warsaw, Poland, August 29-September 4, 2022.
  29. Liszka, Kate “Egyptian Amethyst for the Ptolemaic and Roman Monarchs.”  Archaeological Institute of America, 123rd Annual Meeting, San Francisco, January 5-8, 2022.
  30. Liszka, Kate “Organization of Amethyst Mining at Wadi el-Hudi in the Greek and Roman Periods.”  Jointly authored by Kate Liszka, Bryan Kraemer, and Meredith Brand.  Pots, Pepper, Charcoal and Bread: The Material Economy of the Eastern Desert in the Ptolemaic and Roman Periods, University of North Carolina, Chapel Hill, Virtual, October 11-14, 2021.
  31. Liszka, Kate “Blueprints of Bureaucracy: How the Egyptian Government Designed Settlements into the Desert to Oversee Amethyst Mining.”  Archaeological Institute of America, 120th Annual Meeting, San Diego, January 3-6, 2019.
  32. Liszka, Kate “The Lost Amethyst Mining Settlement: Site 4 at Wadi el-Hudi.”  American Research Center in Egypt 68th Annual Meeting, Kansas City Missouri, April 22, 2017.
  33. Liszka, Kate “On the Edge of Egypt and Nubia at Wadi el-Hudi, Eastern Desert.”  American Research Center in Egypt 66th Annual Meeting, Houston, TX, April 24, 2015.
  34. Liszka, Kate “Egyptians and Nubians at Wadi el-Hudi: Perspectives on Multicultural Interactions from Recent Archaeological Survey.” 13th International Conference for Nubian Studies, Neuchatel, Switzerland, September 3, 2014.
  35. Liszka, Kate “Amethyst Mining at Wadi el-Hudi in the Ptolemaic Period” for Jewelry and Gemstones in Antiquity for Universitat Autònoma de Barcelona, October 2024
  36. Liszka, Kate “From Survey to History: The Region of Wadi el-Hudi through the Eras” for American Research Center in Egypt national, virtual lecture series, February 2022.
  37. Liszka, Kate “Forts, Prisons, or Storage Vaults? The three so-called ‘Fortresses’ of Pharaoh at Wadi el-Hudi and their Connection to Amethyst Mining” for The Archaeological Institute of America, Archaeology Abridged virtual, national lecture series, February 2022.
  38. Liszka, Kate “Operation Amethyst: How Egyptian Kings and Queens got their Bling 4000 years ago” for The Archaeological Institute of America, Archaeology Abridged virtual, national lecture series, January 2022
  39. Kraemer, Bryan “Pharaoh’s Sandbox: The Wadi el-Hudi 2022-2023 Field Season and Future Directions” for American Research Center in Egypt, Annual Meeting, April 2023.
  40. Kraemer, Bryan “From Rescue Archaeology to Virtual Archaeology in Preserving the Sites of Wadi el-Hudi” for Archaeological Institute of America, Annual Meeting, January 2022.
  41. Kraemer, Bryan “Recording the Inscribed Spaces of Wadi el-Hudi: Challenges and Promises of Digital Rescue Archaeology in a Uniquely Inscribed Archaeological Landscape” for Cotsen’s Institute for Archaeology, UCLA, May 2021.
  42. Kraemer, Bryan “Digitally Recording and Presenting the Inscribed Spaces” for Archaeological Institute of America, Annual Meeting, January 2018.

Department of Psychology

Professor Nicolas Brunet

  1. Alewa Anaya, Nicolas Brunet. Eyewear's Impact on N170 Amplitudes: Exploring Neural Mechanisms of Face Processing. 39th CSUSB Student Research Competition, California State University San Bernardino, CA, USA February 14, 2025.

Robert and Frances Fullerton Museum of Art

Bryan Kraemer

See: Professor Kate Liszka