Student and Faculty Accomplishments


Academic Year 2022-23


A. Chopra (MSCS student), A. Kapoor (BSCS alum/MSAI student), and W. Lee have a poster accepted for presentation at the 35th Annual CSU Biotechnology Symposium (January 13-14, 2023 in Santa Clara, CA): "SRASearch - an enriched NCBI SRA search with a transformer-based neural network"  


Ching-Seh (Mike) Wu, Samuel Chen, and Sushmit Gaikwad (MSCS student), “A Heuristic Intrusion Detection Approach Using Deep Learning Model,” IEEE 37th International Conference on Information Networking (ICOIN 2023), Bangkok, Kingdom of Thailand, January 11-14, 2023, 6 pages


Ching-Seh (Mike) Wu, Satya P. Manthena (MSCS student), Saurabh Kale (MSCS student), and Maithili V. Kulkarni (MSCS student), “Traffic Flow Prediction Using Deep Learning Models,” IEEE 5th International Conference on Computing and Big Data (ICBDSC 2022), Shanghai, China, December 16-18. 2022, 6 pages


Jiabao Qiu (MSCS), Nihar Hegde (BSCS, Cornell University), Melody Moh, and Teng-Sheng Moh, “Investigating User Information and Social Media Features in Cyberbullying Detection,” Proceedings of the 10st IEEE International Conference on Big Data (IEEE BigData),  Osaka, Japan, Dec. 2022, 8 pages.


Kendrick Trinh (MSCS), Melody Moh, and Teng-Sheng Moh, “Adversarial Attacks on Speech Separation Systems,” Proceedings of the 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Nassau, The Bahamas, Dec. 2022, 6 pages.


Niraj Pandkar (MSCS), Teng-Sheng Moh, and Mark Barash (Justice Studies), “3D Facial Biometric Verification Using a DNA Sample for Law Enforcement Applications,” Proceedings of the 21st IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Niagara Falls, Canada, Nov. 2022, 8 pages. [California Association of Criminalists Reed & Virginia McLaughlin Endowment Scholarship]


Xincheng Yuan (MSCS), Melody Moh, and Teng-Sheng Moh, “Whole-File Chunk-Based Deduplication Using Reinforcement Learning for Cloud Storage,” Proceedings of the 14th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey, Nov. 2022, 8 pages.


Melody Moh, Teng-Sheng Moh, and Mariia Surmenok (MSCS), “Dynamic Resource Management of Green Fog Computing for IoT Support,” Proceedings of the 2nd International Conference Green Energy, Computing and Sustainable Technology (GECOST), Miri Sarawak, Malaysia, Oct. 2022, 7 pages. [Best Paper Award]


K. Tran (grad student), F. Di Troia, and M. Stamp, have a paper accepted for presentation at the Silicon Valley Cybersecurity Conference, online August 17-19, 2022: Robustness of image-based malware analysis.


A. S. Kale (grad student), V. Pandya (grad student), F. Di Troia, and M. Stamp, Malware classification with Word2Vec, HMM2Vec, BERT, and ELMo, Journal of Computer Virology and Hacking Techniques, April 2022.


M. Stamp, Introduction to Machine Learning with Applications in Information Security, 2nd edition, Chapman and Hall/CRC, 2022.


Academic Year 2021-22


Phil Heller is co-sponsoring a 1-month visiting exhibit on the 2nd floor of MLK Library. The exhibit, called "Beyond Duty", celebrates consular diplomats in Germany and Austria during World War II who violated orders by issuing thousands of unauthorized exit visas to Jews who otherwise would have been killed in concentration camps. At least 10,000 lives were saved by their actions, which have only recently come to light. The exhibit was inaugurated with a reception, attended by the Consul General or Deputy Consul General of Brazil, Chile, China, Germany, Israel, and Italy.


N. Saxena, E. Rastogi, A. Rastogi, Book Chapter entitled, “6G Use Cases, Requirements, and Metrics”, 6G Mobile Wireless Networks Book, Springer International Publishing, 2021, ISBN 3030727769, 9783030727765. International Journals for the year 2021~2022


E. Rastogi, M. Maheshwari, A. Roy, Navrati Saxena, D. R. Shin, “Machine Learning-Based DRX Mechanism in NR-Unlicensed”, IEEE wireless communications letters. On page(s): 1-5. Print ISSN: 2162-2337. Online ISSN: 2162-2345. Digital Object Identifier: 10.1109/LWC.2022.3155570


E. Rastogi, M. K. Maheswari, A. Roy, Navrati Saxena, and D. R. Shin, “Energy Efficiency Analysis of NB-IoT with Auxiliary Active Cycles for Small Data Transmission”, Transactions on Emerging Telecommunications Technologies, 33(1), 33. 10.1002/ett.4376. 2022


 E. Rastogi, M. K. Maheshwari, A. Roy, Navrati Saxena, and D. R. Shin, “A novel safety message dissemination framework in LTE-V2X system”, Wiley Transactions on Emerging Telecommunications Technologies, April 2021.


Navrati Saxena, A. Roy, M K Maheswari, E. Rastogi, and D. R. Shin, “DRX in New Radio Unlicensed: A Step Beyond 5G Wireless”, IEEE Communications Magazine, Volume: 59 Issue: 1, 2021. 


J. Chandroth, Navrati Saxena, A. Roy and E.Rastogi, “A New Design and Analysis of Power Saving for IoT Gateway”, IETE Technical Review, Published online Feb. 2021, DOI:10.1080/02564602.2021.1880343


S. Singh, Navrati Saxena, P. Jain, A. Roy, H. J. Singh, D. Bhutani, N. F. M. Qureshi and A. K. Bashir, "Machine Learning Based Dynamic Restoration of Next Generation Wireless Networks" 10th RAFNET: IEEE International Workshop on Research Advancements in Future Networking Technologies - IEEE ICC 2022 Workshop, May 16-20 2022, Seoul, South Korea (Accepted).


Eden Johnson (MSBI grad student) and Prof. Wendy Lee published in Neurotoxicology, "Bisphenol A affects neurodevelopmental gene expression, cognitive function, and neuromuscular synaptic morphology in Drosophila melanogaster". https://doi.org/10.1016/j.neuro.2022.01.006.


Professor Thomas H. Austin's paper "Multiple facets for dynamic information flow" recently won the 2012 Most-Influential Paper Award for the ACM SIGPLAN Symposium on Principles of Programming Languages (POPL). This paper was selected due to its impact in the 10 years since its initial publication.


Professsor William Andreopoulos paper on "Deeplasmid: deep learning accurately seperates plasmids from bacterial chromosomes" has been published in the NAR journal.


M. Stamp, C.A. Visaggio, F. Mercaldo, and F. Di Troia, editors, "New Horizons in Cybersecurity Via Artificial Intelligence", Springer, January 2022.


R. Nagaraju (grad student) and M. Stamp, Auxiliary-classifier GAN for malware analysis, contributed book chapter in "New Horizons in Cybersecurity Via Artificial Intelligence", M. Stamp, C.A. Visaggio, F. Mercaldo, and F. Di Troia, editors,
Springer, January 2022.


L.S. Tupadha (grad student) and M. Stamp, Machine learning for malware evolution detection, contributed book chapter in "New Horizons in Cybersecurity Via Artificial Intelligence", M. Stamp, C.A. Visaggio, F. Mercaldo, and F. Di Troia, editors,
Springer, January 2022.


E. Huang (high school student), F. Di Troia, and M. Stamp, Evaluating deep learning models and adversarial attacks on accelerometer-based gesture authentication,
contributed book chapter in "New Horizons in Cybersecurity Via Artificial Intelligence",
M. Stamp, C.A. Visaggio, F. Mercaldo, and F. Di Troia, editors, Springer, January 2022.


R. Gothankar (grad student), F. Di Troia, and M. Stamp, Clickbait detection for YouTube videos, contributed book chapter in "New Horizons in Cybersecurity Via Artificial Intelligence", M. Stamp, C.A. Visaggio, F. Mercaldo, and F. Di Troia, editors, Springer, January 2022.


H.-C. Chang (grad student), J. Li (grad student), C.-S. Wu, and M. Stamp,
Machine learning and deep learning for fixed-text keystroke dynamics,
contributed book chapter in "New Horizons in Cybersecurity Via Artificial Intelligence",
M. Stamp, C.A. Visaggio, F. Mercaldo, and F. Di Troia, editors, Springer, January 2022.


H.-C. Chang (grad student), J. Li (grad student), and M. Stamp, Machine learning-based analysis of free-text keystroke dynamics, contributed book chapter in "New Horizons in Cybersecurity Via Artificial Intelligence", M. Stamp, C.A. Visaggio, F. Mercaldo, and F. Di Troia, editors, Springer, January 2022.


J. Li (grad student), H.-C. Chang (grad student), and M. Stamp, Free-text keystroke dynamics for user authentication, contributed book chapter in "New Horizons in Cybersecurity Via Artificial Intelligence", M. Stamp, C.A. Visaggio, F. Mercaldo, and F. Di Troia, editors, Springer, January 2022.


Congratulations to Punithavathi Sundaramurthy(S) as she has been selected to present a short research paper as well as a poster paper on a "computational approach to identify transcription factor binding sites" co-authored by Wendy Lee(F), Brandon White at the IEEE CPS proceedings which will be held at Las Vegas on Dec 15th-17th also her poster abstract on "Kismet affects gut biomechanics, the gut microbiome, and gut-brain axis in Drosophila melanogaster" has been accepted to be presented at the 34th CSU


Philllip Heller's(F) article on "Diel gene expression improves software prediction of cyanobacterial operons" is accepted for publication in Peer.


Academic Year 2020-21


Wendy Lee(F) has been awarded $14000 in computational resources from XSEDE (NSF) for teaching undergraduate-level Bioinformatics Analysis using Galaxy on Aug 27th 2021.


Two papers co-authored by Genya Ishigaki(F) on Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization and A Reinforcement Learning-Based Admission Control Strategy for Elastic Network Slices will be presented at IEEE Globecom 2021


Philip Heller's(F) NASA/Bioinformatics internship program was the subject of a story in the SJSU newsroom on Oct 6th 2021


X. Yang (G) and M. Stamp (F) publication on Computer-aided diagnosis of low grade Endometrial Stromal Sarcoma (LGESS), to appear in "Computers in Biology and Medicine". 


I. Granot, and C. Wu have been accepted to present their research paper at IEEE AI IoAT World Congress (AIIoT) in May 10-13, 2021 (Seattle, USA). The paper is titled, "Improving the Relevancy of a Web Navigation Recommender System Using Categorization of Users' Experience."


C. Gu and W. Lee have been accepted to present their poster at the Great Lakes Bioinformatics Conference in May 2021. The poster is titled, "Ensemble learning prediction of furin cleavage sites in viral envelope proteins using amino acid physiochemical properties ."


Z. Tom and W. Lee have been accepted to present their poster at the Great Lakes Bioinformatics Conference in May 2021. The poster is titled, "Bioinformatics Metadata Extraction for Machine Learning Analysis."


Ajay Pal Singh (G), Katerina Potika (F), "Image Spam Classification with Deep Neural Networks", Book chapter in "Malware Analysis using Artificial Intelligence and Deep Learning", Springer, pages 605-631, https://doi.org/10.1007/978-3-030-62582-5_24


Neeraj Chavan (G), Katerina Potika (F), "Higher-order Link Prediction Using Triangle Embeddings.", IEEE Big Data, 6th Special Session on Intelligent Data Mining, pages pp. 4535-4544, 2020.doi: 10.1109/BigData50022.2020.9377750.


Shishir Kulkarni (G), Jay Ketan Katariya (U), Katerina Potika (F), "GloVeNoR: GloVe for Node Representations with Second Order Random Walks." , IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pages 536-543, 2020, 


Mrudula Murali (G), Katerina Potika (F), Chris Pollett (F), "Online local communities with motifs", IEEE International Conference on Transdisciplinary AI (TransAI), pages 59-66, doi: 10.1109/TransAI49837.2020.00014. 


S. Mithe(G), Katerina Potika (F), "A unified framework on node classification using graph convolutional networks", IEEE International Conference on Transdisciplinary AI (TransAI), pages 67-74, doi: 10.1109/TransAI49837.2020.00015.


J. Vu (U), Katerina Potika (F), "Edge Betweenness Centrality on Trees," IEEE International Conference on Transdisciplinary AI (TransAI), pages 104-107, doi: 10.1109/TransAI49837.2020.00023.


W. Andreopoulos. A single-cell genomics pipeline for environmental microbial eukaryotes, journal article in ScienceDirect, March 2021. 


M. Stamp, Information Security: Principles and Practice, 3rd edition, Wiley, 2021. 


P. Heller and BSCS student P. Pogaru had an article accepted by Heliyon Education: "A novel approach to teaching Hidden Markov Models to a diverse undergraduate population"


W. Andreopoulos. Comparative genomics reveals dynamic genome evolution in host specialist ectomycorrhizal fungi, journal article in New Phytologist, December 2020. 


A. Kale (grad student), F. Di Troia, and M. Stamp have a paper accepted for presentation at the 5th International Workshop on Formal Methods for Security Engineering (ForSE 2021), in conjunction with the 7th International Conference on Information Systems Security and Privacy (ICISSP 2021), online, February 11-13, 2021: "Malware classification with word embedding features".


J. Zhao (grad student), S. Basole (former grad student), and M. Stamp
have a paper accepted for presentation at the 5th International Workshop on Formal Methods for Security Engineering (ForSE 2021), in conjunction with the 7th International Conference on Information Systems Security and Privacy (ICISSP 2021), online, February 11-13, 2021: "Malware classification with GMM-HMM models".


D. Dang (grad student), F. Di Troia, and M. Stamp have a paper accepted for presentation at the 5th International Workshop on Formal Methods for Security Engineering (ForSE 2021), in conjunction with the 7th International Conference on Information Systems Security and Privacy (ICISSP 2021), online, February 11-13, 2021: "Malware classification using long short-term memory models".


E. Huang (high school student), F. Di Troia, M. Stamp, and P. Sundaravaradhan (grad student) have a paper accepted for presentation at the 5th International Workshop on Formal Methods for Security Engineering (ForSE 2021), in conjunction with the 7th International Conference on Information Systems Security and Privacy (ICISSP 2021), online, February 11-13, 2021: "A new dataset for smartphone gesture-based authentication".


 Academic Year 2019-20

M. Jain (grad. student), W. Andreopoulos, and M. Stamp, "Convolutional neural networks and extreme learning machines for malware classification", accepted for publication in Journal of Computer Virology and Hacking Techniques, April 2020


 S. Kim, Seamless Integration of NoSQL class into the Database Curriculum, has been accepted to the ACM 25th annual conference on Innovation and Technology in Computer Science Education (ITiCSE),June 15-19, Trondheim, Norway


J.Conragan, an undergraduate research student working under the supervision of K.Tarnowska, has been accepted into the International Research Experience for Students (IRES) program at CERN, the European Organization for Nuclear Research; June-Aug 2020, Switzerland.


K. Tarnowska, B. Dispoto (undergrad), J. Conragan (undergrad). Data Driven Clinical Decision Support for Tinnitus Diagnosis and Therapy. Submission accepted for the American Medical Informatics Association (AMIA) 2020 Clinical Informatics Conference; 2020 May 19-21, Seattle, WA.


B. Dispoto (undergrad). Clinical Decision Support for Tinnitus. 22nd IEEE BME Bio-Tech Applications Contest; 2020 Feb 8, UC-Irvine, CA. Placed 2nd in the BioTech track.


B. Dispoto (undergrad), K. Tarnowska. A Clinical Decision Support System for Tinnitus Diagnosis and Therapy. Poster session presented at: 32nd Annual CSU Biotechnology Symposium; 2020 Jan 16-18, Santa Clara, CA. Finalist of 2020 Glenn Nagel Undergraduate Research Award.


K. Tarnowska, Ras ZW, L. Daniel. Recommender Systems For Improving Customer Loyalty. Studies in Big Data. Switzerland: Springer; 2020. SJSU Annual Author & Artist Award recipient.


P. Heller, A. Kahn, I. Aiello, and S. Saxena (grad. student). "Poriferal Vision: Classifying benthic sponge spicules to assess historical impacts of marine climate change", accepted for presentation at the ISMIS 2020 conference in Graz, Austria, and for publication in LNCS/LNAI, 2020.


G. Nellaivadivelu (grad. student), F. Di Troia, and M. Stamp, "Black Box Analysis of Android Malware Detectors", accepted for publication in the journal Array, February 2020


C. Pollett, T. Austin, K. Potika, and J. Rietz. "TontineCoin: Murder-Based Proof-of-Stake", accepted in the 2nd IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS), 2020.


P. Kasbekar, K. Potika, and C. Pollett. "Find me if you can: aligning users in dierent social networks", accepted in the 6th IEEE International Con-ference on Big Data Computing Service and Machine Learning Applications(BDS), 2020.


A. Pagourtzis, D. Souliou, P. Potikas, and K.Potika. "Overlapping Community Detection via Minimum Spanning Tree Computations", accepted in the 6th IEEE International Conference on Big Data Computing Service and Machine Learning Applications (BDS), 2020.


S. Haridas, R. Albert, M. Binder, J. Bloem, K. LaButti, A. Salamov, B. Andreopoulos, et al. "101 Dothideomycetes Genomes: a test case for predicting lifestyles and emergence of pathogens". Elsevier Studies in Mycology, In Press (2020).


C. Howard-Varona, M. Lindback, G. Bastien, N. Solonenko, A. Zayed, H. Jang, B. Andreopoulos, H. Brewer, T. Galvina del Rio, J. Adkins, S. Paul, M. Sullivan, and M. Duhaime, "Phage-specific metabolic reprogramming of virocells", accepted for publication in The ISME Journal, January


Honorable Paper Award: S. Duggirala and T. Moh, "A Novel Approach to Music Genre Classification using Natural Language Process and Spark", presented at IEEE 14th International Conference on Ubiquitous Information Management and Communication (IMCOM), January 2020, Taichung, Taiwan.


T. Sharmin (grad. student), F. Di Troia, K. Potika, and M. Stamp, "Convolutional neural networks for image spam detection", accepted for publication in Information Security Journal: A Global Perspective, January 2020


S. Kim and Y. Kanwar, "GeoYCSB: A Benchmark Framework for the Performance and Scalability Evaluation of NoSQL Databases for Geospatial Workloads", IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications, December 2019


S. Basole (grad. student), F. Di Troia, and M. Stamp, "Multifamily malware models", accepted for publication in Journal of Computer Virology and Hacking Techniques, December 2019


P. Patil (grad. student), C. Wu, K. Potika, and M. Orang have an article accepted for publication in the procceedings and presentation at the 2020 ACM the 3rd International Conference on Big Data and Soft Computing (ICBDSC 2020), Sydney, Austrialia, January 11-15, 2020: “Stock Market Prediction Using Ensemble of Graph Theory, Machine Learning and Deep Learning Models”.


C. Wu has received the Best Paper Presenting Award at the 2019 ACM International Conference on Data Science Information Technology (ACM DSIT 2019), Seoul, Korea, July 19-21, 2019: “Heart Disease Prediction Using Data Mining Techniques”.


A. Sinha (grad student), F. Di Troia, P. Heller, and M. Stamp, Emulation vs instrumentation for Android malware detection, contributed book chapter in Digital Forensic Investigation of Internet of Things (IoT) Devices, R. Montasari, H. Jahankhani, R. Hill, and S. Parkinson, editors, Springer 2019.


A. Saber (grad student), F. Di Troia, and M. Stamp, Intrusion detection and CAN vehicle networks, contributed book chapter in Digital Forensic Investigation of Internet of Things (IoT) Devices, R. Montasari, H. Jahankhani, R. Hill, and S. Parkinson, editors, Springer 2019.


W. Lee, N. Khuri, S. Khuri, M. VanHoven, and K. Virginia Lemkhul-Dakhwe, titled "Interdisciplinary Minor in Bioinformatics: First Results and Outlook" has been accepted for publication in the proceedings and presentation at the 2020 ACM SIGCSE conference (the main venue for CS Education research.)


E. M. Alkhateeb and M. Stamp have a paper accepted at the IEEE International Conference on Electrical and Computing Technologies and Applications (ICECTA 2019), American University of Ras Al Khaimah, Ras Al Khaimah, UAE, November 19-21, 2019: "A dynamic heuristic method for detecting malware using naive Bayes"


M. Stamp has been awarded a grant from Google for Machine Learning Education with TensorFlow 2.0


M. Wadkar (grad. student), F. Di Troia, and M. Stamp have a paper accepted for publication in Expert Systems With Applications: Measuring malware evolution using support vector machines


K. Tarnowska, Ras ZW. "Sentiment Analysis of Customer Data." Web Intelligence Journal. Forthcoming 2019.


D. Souliou, P. Potikas, K. Potika, and A. Pagourtzis: "Weightassignment on edges towards imporved community detection." IDEAS 2019: 3:1-3:5


I. Pradhan, K. Potika, M. Eirinaki, and P. Potikas: "Exploratory dataanalysis and crime prediction for smart cities." IDEAS 2019: 4:1-4:9


M. Seenappa, K. Potika, and P. Potikas: "Graph Classification with kernels and embeddings." To appear in Graph Computing 2019 (GC 2019)


R. Khanuja (grad. student) published and presented her research work on July 31, 2019 in Las Vegas at CSCE'19: The 2019 World Congress in Computer Science and ICAI'19 Track: 21st International Conference on Artificial Intelligence. "Optimizing E-Commerce Product Classification Using Transfer Learning".


P. Merrill (grad. student), T. Austin, J. Thakker, Y. Park, and J. Rietz. Lock and load: a model for free blockchain transactions through token locking. In DAPPCON: International Conference on Decentralized Applications and Infrastructures, IEEE, 2019.


P. Merrill (grad. student), T. Austin, J. Rietz, and J. Pearce. Ping-pong governance: token locking for enabling blockchain self-governance. In MARBLE: International Conference on Mathetmatical Research for Blockchain Economy, 2019.


N. Attar presented a paper on ACM ETRA: 2019 Symposium on Eye Tracking Research & Applications.


A. Boursalian (grad. student) and M. Stamp have a paper accepted for publication in Engineering Reports: "Bootbandit: A macOS bootloader attack".


A. Chiravil (grad. student), R. Maharjan (grad. student), and C. Wu have an article accepted for presentation and publication at the 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2019), Toyama, Japan on July 8-10, 2019: “Survey on Anomaly Detection in Wireless Sensor Networks (WSNs)”.


A. Alten (grad. student), G. Gadre (grad. student), S. Kulkarni (grad. student), and C. Wu have an article accepted for presentation and publication at the 2019 IEEE International Conference on Artificial Intelligence and Big Data (ICAIBD 2019), ChengDu, China, May 25-28, 2019 : “Analyzing Happiness Index Based on Geographical Locations”.


M. Badshah (grad. student), V. Bhagwat (grad. student), and C. Wu have an article accepted for presentation and publication at the 2019 ACM International Conference on Data Science Information Technology (SDIT 2019), Seoul, Korea, July 19-21, 2019: “Heart Disease Prediction Using Data Mining Techniques”.


Academic Year 2018-19

N. Chavan (student), F. Di Troia, and M. Stamp have a paper accepted for presentation at the 3rd International Workshop on Formal Methods for Security Engineering (ForSE 2019), in conjunction with the 5th International Conference on Information Systems Security and Privacy (ICISSP 2019), Prague, Czech Republic, February 23–25, 2019: "A comparative analysis of Android malware".


N. Bhodia (grad. student), P. Prajapati (grad. student), F. Di Troia, and M. Stamp, have a paper accepted for presentation at the 3rd International Workshop on Formal Methods for Security Engineering (ForSE 2019), in conjunction with the 5th International Conference on Information Systems Security and Privacy (ICISSP 2019), Prague, Czech Republic, February 23–25, 2019: "Transfer learning for image-based malware classification".


A. S. Shekhawat (student), F. Di Troia, and M. Stamp have an article accepted for publication in Expert Systems with Applications: "Feature analysis of encrypted malicious traffic".


K. Tarnowska, in "From Knowledge Discovery to Customer Attrition",Z.W. Ras, in "Foundations of Intelligent Systems", Proceedings of ISMIS 2018", M. Ceci, et al. (Eds), LNAI, Vol. 11177, Springer, 2018, 417-425


S. Suresh (grad. student), F. Di Troia, and K. Potika, and M. Stamp have an article accepted for publication in Journal of Computer Virology and Hacking Techniques: "An analysis of Android adware"(2018).


P. Heller and B. Baiju (student) published "An Improved Distance Metric for Clustering Gene Expression Time-Series Data". American Journal of Advanced Research 2-1: 2018.


E. Bampas, C. Karousatou, A. Pagourtzis, K. Potika published "Minimum multiplicity edge coloring via orientation". Discrete Applied Mathematics 247: 380-388 (2018).


K. Kulkarni, A. Pagourtzis, K. Potika, P. Potikas, D. Souliou presented “Community Detection via Minimum Spanning Tree Computations”, AlgoCloud 2018.


A. Raghavan (grad. student), F. Di Troia, and M. Stamp have an article accepted for publication in Journal of Computer Virology and Hacking Techniques: "Hidden Markov models with random restarts vs boosting for malware detection".


P. Patil (grad. student), and S. Gunaseelan (grad. student), M. Wu have an article accepted for presentation and publication at the IEEE International Conference on Software Engineering and Service Science (ICSESS 2018): “Comparison of Different Machine Learning Algorithms for Multiple Regression on Black Friday Sales Data”.


D. Garg (grad. student), and U. Bhandary (grad. student), M.Wu have an article accepted for presentation and publication at the IEEE International Conference on Software Engineering and Service Science (ICSESS 2018): “Movie Recommendation System Using Collaborative Filtering”.


N.Khuri and S. Deshmukh (grad. student) have an article accepted for presentation and publication at the IEEE 17th International Conference on Machine Learning and Applications (JCMLA ) 2018: "Machine Learning for Classification of Inhibitors of Hepatic Drug Transporters".


P. Heller had a paper accepted for publication in Nature Scientific Data, 2018: "A Database of Metazoan Cytochrome C Oxidase Subunit I Gene Sequences Derived from GenBank with CO-ARBitrator".


V. Kannan (grad. student) and N.Khuri have an article accepted for presentation and publication at the IEEE International Conference on Digital Information Management (ICDIM 2018): “Creating Digital Collages Inspired by English Texts”.


S. Deshmukh (grad. student) and N.Khuri have an article accepted for presentation and publication at the IEEE International Conference on Digital Information Management (ICDIM 2018): “PediatricDB: Data Analytics Platform for Pediatric Healthcare”.


V.Kannan (grad.student), received Laurence M.Klauber Award for her research presentation at 99th annual meeting of the Pacific Division of AAAS: "Text2Collage - Visualizing Text as a Collage of Images".


W.-C.Huang (student), M.Stamp, and F. Di Troia, presented a paper at International Workshop on Behavioral Analysis for System Security (BASS 2018), in conjunction with the 15th International Joint Conference on e-Business and Telecommunications (ICETE 2018), Porto, Portugal, July 26-28, 2018: "Robust Hashing for Image-Based Malware Classification".


N.Bagga (student), M.Stamp, and F. Di Troia, presented a paper at International Workshop on Behavioral Analysis for System Security (BASS 2018), in conjunction with the 15th International Joint Conference on e-Business and Telecommunications (ICETE 2018), Porto, Portugal, July 26-28, 2018: "The Effectiveness of Generic Malware Models".


A. Chavda (student), K. Potika, M.Stamp, and F.Di Troia, presented a paper at International Workshop on Behavioral Analysis for System Security (BASS 2018), in conjunction with the 15th International Joint Conference on e-Business and Telecommunications (ICETE 2018), Porto, Portugal, July 26-28, 2018: "Improved Image Spam Detection".


Academic Year 2017-18

C. Pollett published "On the Finite Axiomatizability of ∀Σb1( prenex R12)" in Mathematical Logic Quarterly. Vol. 68. Iss. 1--2. pp: 6--24. April, 2018.


Z. Hammoudeh (grad. student) and C. Pollett published "Clustering-Based, Fully Automated Mixed-Bag Jigsaw Puzzle Solving" in Proceedings of the Conference on Computer Analysis of Images and Patterns . LNCS 10425, pp. 205--217, 2017.


S. Khuri received 2018-19 SJSU Undergraduate Research Award "Analysis of Motivations of Non-majors for Learning Programming" ($1,000).


K. Potika received 2018-19 SJSU College of Science Research, Scholarship and Creative Activity (RSCA) award for "Local Community Detection in Online Graphs".


Bampas, C. Karousatou, A. Pagourtzis, and K. Potika published a paper in
Information Processing Letter. 133: 1-4 (2018): "Path multicoloring in spider graphs with even color multiplicity".


M. Stamp contributed a book chapter in Guide to Vulnerability Analysis for Computer Networks and Systems — An Artificial Intelligence Approach, S. Parkinson, A. Crampton, and R. Hill, editors, Springer 2018: "A survey of machine learning algorithms and their application in information security".


M. Stamp, D. Rajeswaran (grad. student), F. Di Troia, and T. H. Austin contributed a book chapter in Guide to Vulnerability Analysis for Computer Networks and Systems — An Artificial Intelligence Approach, S. Parkinson, A. Crampton, and R. Hill, editors, Springer 2018: "Function call graphs versus machine learning for malware detection".


M. Stamp, D. Dhanasekar (grad. student), F. Di Troia, and K. Potika, contributed a book chapter in Guide to Vulnerability Analysis for Computer Networks and Systems — An Artificial Intelligence Approach, S. Parkinson, A. Crampton, and R. Hill, editors, Springer 2018: "Detecting encrypted and polymorphic malware using hidden Markov models".


M. Stamp, S. N. K. Manikoth (grad. student) and F. Di Troia, contributed a book chapter in Guide to Vulnerability Analysis for Computer Networks and Systems — An Artificial Intelligence Approach, S. Parkinson, A. Crampton, and R. Hill, editors, Springer 2018: "Masquerade detection on mobile devices".


M. Stamp, F. Di Troia, M. Stamp (high school student), and J. Huang (high school student), have a paper accepted for publication at the International Conference on Historical Cryptology (HistoCrypt 2018), Uppsala, Sweden, June 18–20, 2018: "Hidden Markov models for Vigenere cryptanalysis".


M. Stamp, F. Di Troia and J. Huang (high school student) have a paper accepted for publication at the 2018 International Conference on Security & Management (SAM'18), July 30–August 2, 2018: "A comparison of machine learning classifiers for acoustic gait analysis".


P. Nagarajan (grad. student), F. Di Troia, T. H. Austin and M. Stamp have a paper accepted for publication at the 2nd International Workshop on Formal methods for Security Engineering (ForSE 2018): "Autocorrelation analysis of financial botnet traffic".


S. Yajamanam (undergrad. student), V. R. S. Selvin (grad. student), F. Di Troia and M. Stamp have a paper accepted for publication at the 2nd International Workshop on Formal methods for Security Engineering (ForSE 2018): "Deep learning versus gist descriptors for image-based malware classification".


J. Huang (high school student), F. Di Troia and M. Stamp have a paper accepted for publication at the 2nd International Workshop on Formal methods for Security Engineering (ForSE 2018): "Acoustic gait analysis using support vector machines".


Fan Han (undergrad. student) and D. Caires won the Best Social Innovation award of the 14th annual Silicon Valley Challenge.


C. Horstmann was recognized as a 2017 ACM Distinguished Member for educational contributions to computing.
https://www.acm.org/media-center/2017/november/distinguished-members-2017


S. Khuri will give a workshop "Introducing Bioinformaics Algorithms in Computer Science Courses" at the 2018 ACM SIGCSE symposium.


T. Austin received 2017-18 SJSU College of Science Research, Scholarship and Creative Activity (RSCA) award.


M. Moh received 2017-18 SJSU College of Science Research, Scholarship and Creative Activity (RSCA) award.


T. Moh received 2017-18 SJSU College of Science Research, Scholarship and Creative Activity (RSCA) award.


M. Stamp received 2017-18 SJSU College of Science Research, Scholarship and Creative Activity (RSCA) award.


R. Mak received the NSF Student Travel Grant for the 2018 CGO/HPCA/PPoPP Symposia ($30,000).


C. Horstmann published a video course "Core Java: Advanced Complete LiveLessons" (Addison-Wesley).


The second edition "Scala for the Impatient" by C. Horstman was published by Addison-Wesley.


H. Nguyen (CS undergrad), 2017 Outstanding Graduating Senior, will be starting PhD in Statistics at the Ohio State University supported by the Distinguished University Fellowship and the Lubrizol Start-Up Fellowship.


P. Mishra (grad. student), N. Khuri and S. Khuri have an abstract accepted for presentation at the 98th annual meeting of the Pacific Division of AAAS: "TreeComparator: A Tool to Compare Tree-Based Classifiers".


Academic Year 2016-17

S. Khuri received 2017-18 SJSU Undergraduate Research Award "Analysis of Motivations of Non-majors for Learning Programming" ($1,000).


C. Horstmann received 2017-18 Research, Scholarship and Creative Activity (RSCA) award "Interactive Practice Sets for Building Programming Competence".


S. Khuri received 2017-18 Research, Scholarship and Creative Activity (RSCA) award "Improving Students' Learning and Achievement in Bioinformatics through Discovery-Based Exercises" ($4,800).


S. Khuri received 2017-18 Research, Scholarship and Creative Activity (RSCA) award "Improving Students' Learning and Achievement in Bioinformatics through Discovery-Based Exercises" ($4,800).


M. Kaple (grad. student), K. Kulkarni (grad. student) and K. Potika have a paper accepted at the IEEE International Workshop on Big Data Applications in Smart City Development, 2017.


C. Horstmann received 2017 SJSU's "Exceptional Levels of Service to Students" award.


A. Annadatha (grad. student) and M. Stamp have a paper accepted for publication in the Journal of Computer Virology and Hacking Techniques: "Image spam analysis and detection", 2017.


S. Deshmukh (grad. student), F. Di Troia, and M. Stamp have a paper accepted for publication in the Journal of Computer Virology and Hacking Techniques: "Vigenere scores for malware detection", 2017.


A. Kapratwar (grad. student), F. Di Troia, and M. Stamp have a paper accepted at the 1st International Workshop on FORmal methods for Security Engineering (ForSE 2017): "Static and dynamic analysis of Android malware".


M. Stamp has written a new textbook, Introduction to Machine Learning with Applications in Information Security, that was published by Chapman and Hall/CRC in September 2017.


M. Ackerman and D. Loker have a paper accepted at the International Conference on Computational Intelligence in Music, Sound, Art and Design, 2017: "Algorithmic Songwriting with ALYSIA".


K. Sivaraman (CS Alumna), R. Mohana (grad. student), P. Mishra (grad. student), and S. Khuri presented a poster "Differentiating between authentic and cryptic 5' splice sites" at the 14th Annual Rocky Mountain Bioinformatics Conference, 2016.


S. Khuri, Miri VanHoven (Biological Sciences), N. Khuri have an article accepted for publication in the Proceedings of ACM SIGCSE'17 conference: "Increasing The Capacity Of STEM Workforce: Minor in Bioinformatics".


S. Siahpolo (CS undergrad) and N. Siahpolo (Biol. undergrad) won the 2016 Best Educational Innovation award in 2016 Silicon Valley Innovation Challenge ($1,000).


M. Ackerman and S. Branzei have a paper accepted to the Autonomous Agents and Multi-Agent Systems, 2016: "Autonomous Agents and Multi-Agent Systems."


P. Kannan (grad. student), T, H. Austin, M. Stamp, T. Disney, and C. Flanagan have an accepted paper "Virtual Values for Taint and Information Flow Analysis" in META: Workshop on Meta-Programming Techniques and Reflection, 2016.


W. Pu (CS/Math undergrad), A. Du (Math undergrad), A. Fasanya (Math undergrad), W. Simons (CS undergrad) and M. Bremer (Math & Statistics faculty mentor) took 3rd place in 2016 Undergraduate Statistics Project Competition hosted by American Statistical Association for their project "Examining Worldwide Income Inequality".


M. Eirinaki (CMPE), N, Moniz, and K. Potika have an accepted paper "Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks" at the 9th IEEE International Conference on Social Computing and Networking.


F. Di Troia, C. A. Visaggio, T. H. Austin, and M. Stamp had an article accepted for presentation at Malware Conference 2016 (MALCON 2016): "Advanced Transcriptase for JavaScript malware".


S. Stavrou, R. Low (Math) and N. Hernandez (undergrad. student), Rank classification of 2x2x2x2x2 tensors over F_2. Linear and Multilinear Algebra 64 (2016), no. 11, 2297-2312.


M. Ackerman and J. Moore (grad. student) have an article accepted for presentation and publication at the IEEE International Conference on Data Mining (ICDM 2016): “Foundations of Perturbation Robust Clustering.” Acceptance rate: 19.6%


G. Garg (grad. student) and C. Pollett had a paper "Neural Network CAPTCHA Crackers" accepted to IEEE sponsored Future Technology Conference 2016.


S. Thakur (grad. student) and M. Stamp had an article accepted in the Journal of Computer Virology and Hacking Techniques: “A completely covert audio channel in Android”.


S. Khuri and M. VanHoven (Biological Sciences) received a Technology Pathway Initiative award "A Model for Pathways to Computer Science: Minor in Bioinformatics" ($189,527).


Academic Year 2015-16

T. Tran became member of editorial board of the Journal of Web Semantics (JWS): as of 2015, it’s Thomson Reuters impact factor is 2.550, which ranked JWS 11th out of 123 journals in the Computer Science, Information Systems category, and 21st out of 121 journals in the Computer Science, Artificial Intelligence category.


S. Araujo, T. Tran, A. de Vries, and D. Schwabe have an accepted paper “SERIMI: Class-based Matching for Instance Matching across Heterogeneous Datasets”, In Transactions on Knowledge and Data Engineering journal, 2015.


L. Zhang, T. Tran, and A. Rettinger have an accepted paper “A Theoretical Analysis of Cross-lingual Semantic Relatedness in Vector Space Models”, In Proceedings of the 2015 International Conference on The Theory of Information Retrieval (ICTIR’15). Northampton, USA, September 2015.


S. Khuri received CSU Program for Education and Research in Biotechnology (CSUPERB) award "Programming for Life Scientists: Preparing Future Workforce" ($15,000).


M. Stamp received 2016-17 Research, Scholarship and Creative Activity (RSCA) award "Android Botnet project" ($4,000).


K. O'Brien received 2016-17 Course Redesign with Technology award for CS46A "Introduction to Programming".


C. Horstmann received 2016 Research, Scholarship and Creative Activity (RSCA) Infusion award "Evaluating Efficacy of Interactive Exercises in Computer Science" ($3,375).


Pushkar Umaranikar (Grad. student), and C. Pollett had a paper accepted for publication in the Proceeding of the International Conference on Collaboration Technologies and Systems, 2016: "An Open Source Advertisement System".


P. Mishra (Grad. student), and C. Pollett had a paper accepted for publication in the Proceeding of the International Conference on Collaboration Technologies and Systems, 2016: "A Scalable Media Job Framework for an Open Source Search Engine".


M. Moh, A. Gajjala (Grad. student), and S. Gangireddy (Grad. student) published “On Multi-Tier Sentiment Analysis using Supervised Machine Learning,” in the Proceedings of IEEE/WIC/ACM Web Intelligence Conference,” Singapore, Dec. 2015.


M. Moh has been awarded a research gift from Nokia for a one-year project entitled "Managing Software Deployment to Improve Efficiency of Virtualized Random Accessed Networks," Dec. 2015.


M. Moh has been awarded a donation from Datiphy Inc., including hardware, software (DataDNA - a database security software), and research grant, supporting teaching and research in cybersecurity, digital forensics and big data analytics, Dec. 2015.


S. Pai (Grad. student),F. Di Troia, V. A. Corrado, T. H. Austin, and M. Stamp had an article accepted in the Journal of Computer Virology and Hacking Techniques: "Clustering for malware classification".


S. Vemparala (Grad. student), F. Di Troia, V. A. Corrado, T. H. Austin, and M. Stamp had an article accepted for presentation in the 2nd International Workshop on Security and Privacy Analytics (IWSPA 2016):"Malware Detection using Dynamic Birthmarks".


N. Ganesh (Grad. student), F. Di Troia, V. A. Corrado, T. H. Austin, and M. Stamp had an article accepted for presentation in the 2nd International Workshop on Security & Privacy Analytics (IWSPA 2016): "Static analysis of malicious Java applets"


I. Kaur Makkar (Grad. student), F. Di Troia, V. A. Corrado, T. H. Austin, and Mark Stamp had an article accepted in International Journal of Security and Networks "SocioBot: A Twitter-based botnet".


A. Damodaran (Grad. student), F. Di Troia, V. A. Corrado, T. H. Austin, and M. Stamp, had an article accepted in the Journal of Computer Virology and Hacking Techniques: "A comparison of static, dynamic, and hybrid analysis for malware detection".


T. Singh (Grad. student), F. Di Troia, V. A. Corrado, T. H. Austin, and M. Stamp, published "Support vector machines and malware detection" in the Journal of Computer Virology and Hacking Techniques.


U. Narra (Grad. student), F. Di Troia, V. A. Corrado, T. H. Austin, and M. Stamp, published "Clustering versus SVM for malware detection" in the Journal of Computer Virology and Hacking Techniques.


R. Vobbilisetty (Grad student), F. Di Troia, R. M. Low, V. A. Corrado, and M.Stamp, published "Classic cryptanalysis using hidden Markov models" in Cryptologia.


A. Kosmatin (Grad. student) and A. Horwege (Undergrad. student) and will present their interdisciplinary research "Using Music to Analyze Protein Sequences" at the CSUPERB Symposium. The research is supported by the the SJSU Research, Scholarship and Creative Activity (RSCA) award. Aaron Kosmatin is majoring in CS and Alex Horwege in Music.


K. Potika has an article accepted for publication in ADHOC-NOW 2015: "Scheduling Connections via Path and Edge Multicoloring" with E. Bampas, C. Karousatou, A. Pagourtzis.


Y. Satoh and S. Siahpolo (Undergrad. students) received scholarship awards from CIO Scholarship Foundation, which strives to enhance future leadership in the information systems and technology fields throughout the San Francisco Bay Area.


Academic Year 2014-15

Together with his co-founder C. Ma, T. Tran raised 1.3 Million in seed funding for his startup project “Lyfeline”, creating a Big Data platform to help parents understanding, assessing and tracking their kids’ development and address potential delays.


T. Tran became editorial board member for the International Journal on Semantic Web and Information Systems (IJSWIS): as of 2014, it’s Thomson Reuters impact factor is 2.3.


A. Wagner, V. Bicer, T. Tran, and R. Studer have an accepted paper “Holistic and Compact Selectivity Estimation for Hybrid Queries over RDF Graphs”, In Proceedings of the 13th International Semantic Web Conference (ISWC#39;14). Trentino, October 2014.


L. Zhang, T. Tran, and A. Rettinger have an accepted paper “Probabilistic Query Rewriting for Efficient and Effective Keyword Search on Graph Data”, In Proceedings of 40th International Conference on Very Large Data Bases (VLDB’14). Hangzhou, China, September 2014.


A. Wagner, V. Bicer, and T. Tran have an accepted paper “Pay-as-you-go Approximate Join Top-k Processing for the Web of Data.”, In Proceedings of 11th Extended Semantic Web Conference (ESWC'14). Crete, Greece, May, 2014.


H. Hong (Grad. student) and T. Moh published "Effective Topic Modeling for Email" in the Proceedings of the 2015 IEEE International Conference on High Performance Computing and Simulation (HPCS), Amsterdam, Netherlands, July 2015.


I. Cordova (Grad. student) and T. Moh published “DBSCAN on Resilient Distributed Datasets” in the Proceedings of the 2015 IEEE International Conference on High Performance Computing and Simulation (HPCS), Amsterdam, Netherlands, July 2015.


M. Talistu (Grad. student), T. Moh, and M. Moh published “Gossip-based Spectral Clustering of Distributed Data Streams” in the Proceedings of the 2015 IEEE International Conference on High Performance Computing and Simulation (HPCS), Amsterdam, Netherlands, July 2015.


L. Selvan (Grad. student) and T. Moh published “A Framework for Fast-Feedback Opinion Mining on Twitter Data Streams” in the Proceedings of the 16th International Conference on Collaboration Technologies and Systems (CTS), Atlanta, Georgia, June 2015.


M. Munoz (Grad. student), M. Moh, and T. Moh published “Improving smart grid authentication using Merkle Trees” in the Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS), pp. 793-798, Hsinchu, Taiwan, Dec. 2014.


F. Indaco (Grad. student) and T. Moh published “Hierarchical Density-Based Clustering Using Level-Sets” in the Proceedings of the 6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom), pp. 692-695, Singapore, Dec. 2014.


M. Moh has been awarded 2015 Research, Scholarship and Creative Activity (RSCA) award for "Improving Diversity in Technology Workforce Through Cyber Security Research for Female and Minority Students" project.


A. Kapoor (Grad. student) and M. Moh published “Implementation and Evaluation of the DFF Protocol for Advanced Metering Infrastructure (AMI) Networks” in the Proceedings of 11th IEEE International Conference on Design of Reliable Communication Networks, Kansas City, MO, March 2015.


J. Huang (Grad. student), K. Wu (grad. student), and M. Moh published “Dynamic Virtual Machine Migration Algorithms Using Enhanced Energy Consumption Model for Green Cloud Data Centers” in the Proceedings of the 2014 High Performance Computing and Simulation Conference (HPCS 2014), Bologna, Italy, Jul 2014.


S. Khuri has been awarded 2015 Research, Scholarship and Creative Activity (RSCA) award for the "Using music to analyze DNA sequences" project.


S. Nerli (Grad. student) will present "Using Statistical Models to Predict Splice Sites and Cryptic Splice Sites" at the 96th Annual Meeting of the AAAS Pacific Division in San Francisco, California. The research was supported by the SJSU Research, Scholarship and Creative Activity (RSCA) award.


S. Khuri, F. Rivera, P. Messina, C. Tseng, V. Lehmkuhl Dakhwe, R. Mak, H. Li, K. O'Brien, and N. Khuri will present "A Computer Science Education Certificate for High School Teachers" at the 96th Annual Meeting of the AAAS Pacific Division in San Francisco, California.


S. Nerli (Grad. student) has been awarded second place prize in Engineering and Computer Science category in the 29th Annual CSU-wide student research competition that took place at CSU in San Bernardino, May 1 - 2, 2015. The title of her research presentation is "Genome-wide prediction of Splice Sites using Classification Trees". The research was supported by the SJSU Research, Scholarship and Creative Activity (RSCA) award.


R. Kham (Undergrad. student) took a second place in the Barracuda/SJSU 2014-15 Programming Contest.


M. Moh and four SJSU faculty members played a key role in the establishment of the National Center of Academic Excellence in Information Assurance/Cybersecurity Education for the academic years 2014 to 2019.


Kisha Rikhi and Arpi Shah (students) tied the first place in the Fall CS internship poster expo.


A. Agrawal (Grad. student) and M. Stamp have an article accepted for publication in International Journal of Security and Networks: Masquerade detection for GUI-based Windows systems.


C. Annachhatre (Grad. Student), T. H. Austin, M. Stamp, have an article accepted for publication in Journal of Computer Virology and Hacking Techniques: Hidden Markov models for malware classification.


N. B. Brandt (Grad. student) and M. Stamp have just published an article in the Journal of Computer Virology and Hacking Techniques: Automating NFC message sending for good and evil.


M. Chi (student) won the first prize in the Silicon Valley Innovation Jam held by Cisco System in October 2014.


R. K. Jidigam (Grad. student), T. H. Austin, and M. Stamp have an article accepted for publication: Singular value decomposition and metamorphic detection, to appear in Journal of Computer Virology and Hacking Techniques.


A. Kalbhor (Grad. student), T. H. Austin, E. Filiol, S. Josse, M. Stamp have just had paper accepted for publication in the Journal in Computer Virology and Hacking Techniques: Dueling hidden Markov models for virus analysis.


M. Musale (Grad. student), T. H. Austin, and M. Stamp have published Hunting for metamorphic JavaScript malware in the Journal of Computer Virology and Hacking Techniques.


S. Nerli (Grad. student) and S. Khuri presented their research: Genome-wide Prediction of Splice Sites using Maximal Dependence Decomposition in a poster session at the 2014 BaMBA and 2015 AAAS conferences. The research is supported by the SJSU Research, Scholarship and Creative Activity (RSCA) award.


H. Rana (Grad. student) and M. Stamp, have an article accepted for publication in the Information Security Journal: A Global Perspective: Hunting for pirated software using metamorphic analysis.


A. Oza (Grad. student), K. Ross (Grad. student), R. M. Low, M. Stamp collaborated on research: HTTP attack detection using n-gram analysis. The article appeared in September 2014 issue of Computers & Security.


T. Tamboli (Grad. student), T. H. Austin, and M. Stamp published Metamorphic code from LLVM bytecode in the Journal of Computer Virology and Hacking Techniques, 10(3):177–187, August 2014.


F. Wu (Grad. student) and S. Khuri presented their research: Using Probabilistic Graphic Models to Solve NP-Complete Puzzle Problems in a poster session at the 2015 AAAS conference. The research is supported by the SJSU Research, Scholarship and Creative Activity (RSCA) award.