[ My Google Scholar page ]

Book Chapters

• Making Exergames Appealing: An Assessment of Commercial Exergames,
  Emmanuel Agu, Amorn Chokchaisiripakdee, Nuttaworn Sujumnong, Latthapol Krachonkitkosol, Bengisu Tulu,
  in Handbook of Research on Holistic Perspectives in Gamification for Clinical Practice, Chapter 14, IGI Global Publishers, 2015
  
  
• Balancing Energy Consumption, Rendering Speed, and Image Quality on Mobile Devices,
  Fan Wu, Emmanuel Agu, Clifford Lindsay and Chung-han Chen,
  Emergent Trends in Personal, Mobile, and Handheld Computing Technologies, Chapter 14, IGI Global Publishers, 2012 (20 pp)
  
  
• UbiWave: An Novel Energy-Efficient End-to-End Solution for Mobile 3D Graphics
  Fan Wu, Emmanuel Agu, Clifford Lindsay and Chung-Han Chen
  Handheld Computer for Mobile Commerce: Applications, Concepts and Technologies.

Journals

• Machine learning Prediction of Self-Reported Real-World Knee Osteoarthritis Pain from Wearable Accelerometer-Derived Gait Features
  David Clement, Emmanuel Agu, Atifa Sarwar, Deepak Kumar, Zheyang Wu and Jean A. King,
  Scientific Reports (accepted, to appear).
  
  
• Sweet artificial intelligence as digital catalysts in infectious diseases: Glycomics and glycoanalysis.
  Yuan Gao, Jianlei Liu, Benjamin Gong, Jianyuan Pei, Xiwei Zhuang, Chijia Zeng, Hangrui Zhang, Emmanuel Agu, Yanling Wang, Zhihao Duan, Kunyang Xue, Qin Zhou and Feiyun Cui,
  Biosensors and Bioelectronics (2026): 118863.
  
  
• Target Speaker Isolation for Mobile Health Assessment from Speech with Crosstalk,
  Apiwat Ditthapron, Adam C. Lammert, and Emmanuel O. Agu,
  IEEE Access (Accepted, to appear).
  
  
• Evaluating Model Generalizability for Suicide Attempt Risk Prediction: Traditional Machine vs Deep Learning,
  Nicholas Josselyn, Sahil Sawant, Rachel Davis-Martin, Elke Rundensteiner, Ben Gerber, Bo Wang, Anthony Rothschild, Emmanuel Agu, Edwin Boudreaux, Feifan Liu,
  npj Mental Health Research (accepted to appear)
  
  
• Exploring Common and Novel Actualized Affordances of Fitbit: Evidence from Survey and Fitbit Review Data
  Moayad Alshawmar, Bengisu Tulu, Vance E Wilson, Adrienne Hall-Phillips, Ibrahim Aljadani, Emmanuel Agu,
  JMIR Human Factors, 13, e85412, 2026
  
  
• Explainable, Multi-modal Wound Infection Classification from Images Augmented with Generated Captions
  Palawat Busaranuvong, Emmanuel Agu, Reza Saadati Fard, Deepak Kumar, Shefalika Gautam, Bengisu Tulu, and Diane Strong.
  ACM Transactions on Healthcare (ACM HEALTH), 7 (2), 1-28, 2026
  
  
• Privacy-preserving Feature Extractor using Adversarial Pruning for TBI Assessment from Speech.
  Apiwat Ditthapron, Adam C. Lammert, and Emmanuel O. Agu,
  Computer Speech and Language (CSL) Journal, 2026
  
  
• DUI Detection from Gait using a Multichannel 1DCNN-Attention-BiLSTM Framework,
  Samuel Chibuoyim Uche, Emmanuel Agu, Kristin Grimone, Debra Herman, Ana Abrantes and Michael Stein,
  IEEE Access, 13, 200861-200882, 2025
  
  
• Discriminating between Marijuana and Alcohol Gait Impairments using Tile CNN with TICA Pooling,
  Ruojun Li, Samuel Chibuoyim Uche, Emmanuel Agu, Kristin Grimone, Debra Herman, Jane Metrik, Ana Abrantes and Michael Stein,
  IEEE Open Journal of Engineering in Medicine & Biology (OJEMB) (accepted, to appear)
  
  
• Multimodal AI for Home Wound Patient Referral Decisions from Images with Specialist Annotations,
  Reza Saadati Fard, Emmanuel Agu, Palawat Busaranuvong, Deepak Kumar, Shefalika Gautam, Bengisu Tulu, and Diane Strong,
  IEEE Journal of Translational Engineering in Health & Medicine
  
  
• Comprehensive Performance Comparison of Signal Processing Features in Machine Learning Classification of Alcohol Intoxication on Small Gait Datasets.
  Muxi Qi, Samuel C. Uche, and Emmanuel Agu,
  Applied Sciences, 15(13), p.7250.
  
  
• Explainable, Multi-modal Wound Infection Classification from Images Augmented with Generated Captions.
  Palawat Busaranuvong, Emmanuel Agu, E., Reza Saadati Fard, Deepak Kumar, Shefalika Gautam, Bengisu Tulu, and Diane Strong,
  arXiv preprint arXiv:2502.20277.
  
  
• Intoxication Detection from Speech using Representations Learned from Self-Supervised Pre-Training,"
  Abigail Albuquerque, Emmanuel Agu and Samuel Uche,
  Elsevier Smart Health, accepted to IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE), 2025 (short paper).
  
  
• Disparities in Artificial Intelligence–Based Tools Among Diverse Minority Populations: Biases, Barriers, and Solutions.
  Monica Ahluwalia, Sankalp Sehgal, Grace Lee, Emmanuel Agu, and Jacques Kpodonu, 2025.
  JACC: Advances, 4(5), p.101742.
  
  
• "Early Time Series Classification Using Reinforcement Learning for Pre-Symptomatic Covid-19 Screening From Imbalanced Health Tracker Data."
  Sarwar, Atifa, Abdulsalam Almadani, and Emmanuel O. Agu.
  IEEE Journal of Biomedical and Health Informatics (2024).
  
  
• HCM-Echo-VAR-Ensemble: Deep Ensemble Fusion to Detect Hypertrophic Cardiomyopathy in Echocardiograms,
  Abdulsalam Almadani, Atifa Sarwar, Emmanuel Agu, Monica Ahluwalia, Jacques Kpodonu,
  IEEE Open Journal of Engineering in Medicine and Biology OJEMB-001922023.R2, 2024
  
  
• "Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers,
  Palawat Busaranuvong, Emmanuel Agu, Deepak Kumar, Shefalika Gautam, Reza Saadati Fard, Bengisu Tulu, and Diane Strong.
  IEEE Open Journal of Engineering in Medicine and Biology (OJEMB),
  
  
• Few-shot meta-learning for pre-symptomatic detection of Covid-19 from limited health tracker data,
  Atifa Sarwar, Abdulsalam Almadani, and Emmanuel O. Agu,
  Smart Health, p.100459, 2024
  
  
• Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition.
  Wen Ge, Guanyi Mou, Emmanuel Agu and Kyumin Lee,
  Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 7(4), pp.1-23, 2024
  
  
• DeepaMed: Deep learning-based medication adherence of Parkinson's disease using smartphone gait analysis.
  Hamza Abujrida, Emmanuel Agu and Kaveh Pahlavan,
  Smart Health, 30, p.100430. 2023.
  
  
• Risk Stratification in Hypertrophic Cardiomyopathy: Leveraging Artificial Intelligence to Provide Guidance in the Future.
  Monica Ahluwalia, Jacques Kpodonu, Emmanuel Agu,
  JACC: Advances, 2(7), p.100562.2023.
  
  
• Multi-task Deep Learning Methods for Improving Human Context Recognition from Low Sampling Rate Sensor Data,
  Apiwat Ditthapron, Adam C. Lammert, and Emmanuel O. Agu,
  IEEE Sensors Journal https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10175077
  
  
• ADL-GAN: Data Augmentation to Improve In-the-wild ADL Recognition using GANs,
  Apiwat Dittrapron, Adam Lammert, Emmanuel Agu,
  IEEE Access https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10113320
  
  
• CovidRhythm: A Deep Learning Model for Passive Prediction of Covid-19 using Biobehavioral Rhythms Derived from Wearable Physiological Data,
  Atifa Sarwar and Emmanuel Agu,
  IEEE Open Journal of Engineering in Medicine and Biology (OJEMB) 2023. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10079194
  
  
• Chronic Wound Image Augmentation and Assessment using Semi-Supervised Progressive Multi-Granularity EfficientNet,
  Ziyang Liu, Emmanuel Agu, Peder Pedersen, Clifford Lindsay, Bengisu Tulu and Diane Strong,
  IEEE Open Journal of Engineering in Medicine and Biology (OJEMB), 2023. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10050724
  
  
• Fine-Grained Intoxicated Gait Classification using a Bi-Linear CNN,
  Ruojun Li, Emmanuel Agu, Atifa Sarwar, Kristin Grimone, Debra Herman, Ana Abrantes and Michael Stein,
  IEEE Sensors Journal, 2023. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10097599
  
  
• Domain adaptation methods for Lab-to-field Human Context Recognition,
  Abdulaziz Alajaji, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke Rundensteiner,
  Sensors Journal, MDPI. https://www.mdpi.com/1424-8220/23/6/3081
  
  
• INPHOVIS: Interactive Visual Analytics for Smartphone-Based Digital Phenotyping,
  Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrakasekaran, Emmanuel Agu, Elke Rundensteiner, Angela Rodriguez,
  Elsevier Visual Informatics Journal 2023. https://www.sciencedirect.com/science/article/pii/S2468502X23000025
  
  
• Multi-Class Breast Cancer Histopathological Image Classification using Multi-Scale Pooled Image Feature Representation (MPIFR) and One-Versus-One Support Vector Machines,
  David Clement, Emmanuel Agu, Muhammad Suleiman, John Obayemi, Steve Adeshina and Wole Soboyejo,
  MDPI Applied Sciences. https://www.mdpi.com/2076-3417/13/1/156
  
  
• OA-Pain-Sense: Machine Learning Prediction of Hip and Knee Osteoarthritis Pain from IMU Data,
  Wafaa S. Almuhammadi, Emmanuel Agu, Jean King, Patricia Franklin,
  In Informatics (Vol. 9, No. 4, p. 97). Multidisciplinary Digital Publishing Institute (MDPI) https://www.mdpi.com/2227-9709/9/4/97
  
  
• Advocate for a Path to Increasing Diversity Enrollment in Cardiovascular Clinical Trials,
  Monica Ahluwalia, MD FACC, Anekwe Onwuanyi, MD, Emmanuel Agu, PhD, Jacques Kpodonu, MD FACC,
  JACC Advance. https://www.jacc.org/doi/full/10.1016/j.jacadv.2022.100152
  
  
• Proximity Detection During Epidemics: Direct UWB TOA Versus Machine Learning Based RSSI,
  Zhuoran Su, Kaveh Pahlavan, Emmanuel Agu and Haowen Wei,
  2022. International Journal of Wireless Information Networks, 29(4), pp.480-490. https://link.springer.com/article/10.1007/s10776-022-00577-4
  
  
• Breast Cancer Tumor Classification using a Deep Bag of Deep Multi-Resolution Convolutional Features (BoDMCF),
  David Clement, Emmanuel Agu, John Obayemi, Steve Adeshina and Wole Soboyejo,
  MDPI Informatics, (Vol. 9, No. 4, p. 91). MDPI. https://www.mdpi.com/2227-9709/9/4/91/pdf
  
  
• Diabetic Foot Ulcer Ischemia and Infection Classification using EfficientNet Deep Learning Models,
  Ziyang Liu, John Josvin and Emmanuel Agu,
  2022. IEEE Open Journal of Engineering in Medicine and Biology (OJEMB), 3, pp.189-201. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9956918
  
  
• PainRhythms: Machine Learning Prediction of Chronic Pain from Circadian Dysregulation using Actigraph Data - A Preliminary Study,
  Atifa Sarwar, Emmanuel Agu, Justin Polcari, Jack Ciroli, Benjamin Nephew and Jean King,
  Smart Health (paper accepted to CHASE 2022). https://www.sciencedirect.com/science/article/pii/S2352648322000782
  
  
• BioscoreNet: Traumatic Brain Injury (TBI) Detection using a Multimodal Self-Attention Fusion Neural Network and a Passive Bioscore Monitoring Framework from smartphone sensor data,
  Florina Asani, Bhoomi Patel, Srinarayan Srikanthan, Emmanuel Agu,
  Smart Health (paper accepted to CHASE 2022). https://www.sciencedirect.com/science/article/pii/S2352648322000861
  
  
• Fit&Sober: Pilot of a Smartphone Physical Activity App for Patients in Alcohol Treatment,
  A M Abrantes, L Z Meshasha, C E Blevins, C Battle, C Lindsay, E Marsh, S Feltus, M Buman, E Agu and M. D. Stein,
  Journal of Medical Internet Research (JMIR) Formative Research, 2022. https://formative.jmir.org/2022/10/e35926
  
  
• User-Centered Preferences for a Gait-Informed Alcohol Intoxication App,
  Allison Borges, Celeste Caviness, Ana M. Abrantes, Debra Herman, Kristin Grimone, Emmanuel Agu and Michael D. Stein,
  mHealth. https://mhealth.amegroups.org/article/view/105428/html
  
  
• Exploring Factors Associated with Mobile Phone Behaviors and Attitudes Toward Technology Among Adults with Alcohol Use Disorders, and Implications for mHealth Interventions,
  Marie Sillice, Michael Stein, Cynthia Battle, Lidia Meshesha, Clifford Lindsay, Emmanuel Agu and Ana Abrantes,
  Journal of Medical Internet Research (JMIR) Formative Research, 2022 https://formative.jmir.org/2022/8/e32768/
  
  
• Continuous TBI monitoring from Spontaneous Speech using Parametrized Sinc Filters and a Cascading GRU,
  Apiwat Ditthapron, Adam Lammert, Emmanuel Agu,
  IEEE Journal of Biomedical and Health Informatics (JBHI)
  
  
• COVID-19 Social Distance Proximity Estimation Using Machine Learning Analyses of Smartphone Sensor Data,
  Oleksandr Semenov, Emmanuel Agu, Kaveh Pahlavan and Zhuoran Su,
  IEEE Sensors Journal
  
  
• Context-Aware Probabilistic Models for Predicting Future Sedentary Behaviors of Smartphone Users,
  Qian He and Emmanuel Agu,
  Journal of Healthcare Informatics Research, November 15, 2021. https://doi.org/10.1007/s41666-021-00107-6
  
  
• Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future Directions,
  Edwin Boudreaux, Elke Rundensteiner, Feifan Liu, Bo Wang, Celine Larkin, Emmanuel Agu, Samiran Ghosh, Joshua Semeter, Gregory Simon, Rachel Davis-Martin,
  Frontiers in Psychiatry, section Mood and Anxiety Disorders
  
  
• ARGUS: Interactive Visual Analysis of Disruptions in Smartphone-Detected Bio-Behavioral Rhythms,
  Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrakasekaran, Elke Rundensteiner, Emmanuel Agu,
  International Journal of Visual Informatics
  
  
• Comprehensive Assessment of Fine-Grained Wound Images using a Patch-Based CNN with Context-Preserving Attention,
  Ziyang Liu, Emmanuel Agu, Peder Pedersen, Clifford Lindsay, Bengisu Tulu, Diane Strong,
  IEEE OJEMBs
  
  
• Performance Evaluation of COVID-19 Proximity Detection using Bluetooth LE Signal
  Zhuoran Fu, Kaveh Pahlavan, Emmanuel Agu,
  IEEE Access
  
  
• Privacy-Preserving Deep Speaker Separation for Smartphone-Based Passive Speech Assessment,
  Apiwat Ditthapron, Emmanuel Agu, Adam Lammert,
  IEEE Open Journal of Engineering in Medicine and Biology
  
  
• Visual Analytics of Smartphone-Sensed Human Behavior and Health,
  Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrakasekaran Emmanuel Agu, Elke Rundensteiner,
  IEEE Computer Graphics and Applications
  
  
• Estimation of Blood Alcohol Concentration from Smartphone Gait Data using Neural Networks,
  Ruojun Li, Ganesh Balakrishnan, Jiaming Nie, Yu Li, Emmanuel Agu, Kristine Grimone, Debra Herman, Ana Abrantes, Michael Stein,
  IEEE Access
  
  
• Smartphone Health Biomarkers: Positive Unlabeled Learning of In-the-Wild Contexts,
  Abdulaziz Alajaji, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu and Elke Rundensteiner,
  IEEE Pervasive Computing
  
  
• Search and Evaluation of Co-Evolving Problem and Solution Spaces in a Complex Healthcare Design Science Research Project,
  Bengisu Tulu, Diane Strong, Emmanuel Agu and Peder Pedersen,
  IEEE Transactions on Engineering Management, August 2020.
  
  
• Machine Learning Classification of Actionable Care Decisions on Lower Extremity Wounds,
  Holly Nguyen, Emmanuel Agu, Bengisu Tulu, Diane Strong, Haadi Mombini, Peder Pedersen, Clifford Lindsay, Raymond Dunn, Lorraine Loretz,
  Elsevier Smart Health, 18, p.100139.
  
  
• Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches,
  Ameya Wagh, Shubham Jain, Apratim Mukherjee, Emmanuel Agu, Peder Pedersen, Diane Strong, Bengisu Tulu, Clifford Lindsay and Ziyang Liu,
  IEEE Access, vol. 8, pp. 181590-181604, 2020, doi: 10.1109/ACCESS.2020.3014175.
  
  
• Moodable: Instantaneous Depression Assessment using Machine Learning on Voice Samples and Retrospectively Harvested Smartphone and Social Media Data
  Ada Dogrucu, Alex Perucic, Anabella Isaro, Damon Ball, Ermal Toto, Elke Rundensteiner, Emmanuel Agu, Rachel Davis-Martin and Edwin Boudreaux
  Elsevier Smart Health Journal, volume 17, July 2020
  
  
• Fine-grained diabetic wound depth and granulation tissue amount assessment using bilinear convolutional neural network
  Xixuan Zhao, Ziyang Liu; Emmanuel Agu; Ameya Wagh; Shubham P Jain; Clifford Lindsay; Bengisu Tulu; Diane Strong; Jiangming Kan
  IEEE Access 7 (2019): 179151-179162
  
  
• Machine Learning-based Motor Assessment of Parkinson’s Disease Using Postural Sway, Gait and Lifestyle Features on Crowdsourced Smartphone Data
  Hamza Abujrida, Emmanuel Agu, Kaveh Pahlavan
  Biomedical Physics and Engineering Express Journal 2019
  
  
• Boundary determination of foot ulcer images by applying the Associative Hierarchical Random Field framework
  Lei Wang, Peder C. Pedersen, Emmanuel Agu, Diane Strong, Bengisu Tulu, Qian He
  Journal of Medical Image Analysis, no. 2 (2019): 024002.
  
  
• Using the habit app for weight loss problem solving: development and feasibility study.
  Sherry Pagoto, Bengisu Tulu, Emmanuel Agu, Molly E. Waring, Jessica L. Oleski, and Danielle E. Jake-Schoffman
  JMIR mHealth and uHealth 6, no. 6 (2018): e145.
  
  
• Formative work in the development of a physical activity smartphone app targeted for patients with alcohol use disorders.
  Ana Abrantes, Claire Blevins, Clifford Lindsay, Cynthia L. Battle, Matthew P. Buman, Emmanuel Agu, and Michael Stein.
  Psychology of Sport and Exercise 41 (2019): 162-171.
  
  
• Automatic Emotion Detection in Text Stream Messages Using Social Sensing",
  Maryam Hasan, Elke Rundensteiner, Emmanuel Agu,
  Springer Int’l Journal of Data Science and Analytics, February 2019, Volume 7, Issue 1, pp 35–51
  
  
• Fact or fiction.
  Charles Lovering, Anqi Lu, Cuong Nguyen, Huyen Nguyen, David Hurley and Emmanuel Agu,
  Proceedings of the ACM on Human-Computer Interaction, 2(CSCW), (2018) 111.
  
  
• Habit App: Feasibility of a Weight Loss Problem Solving App,
  Sherry Pagoto, Jessica Oleski, Molly E Waring, Emmanuel Agu and Bengisu Tulu
  Annals Behavioral Medicine, 2017
  
  
• Discover Trends in Public Emotion using Social Sensing
  Maryam Hasan, Elke Rundensteiner, Xiangnan Kong and Emmanuel Agu,
  ACM SIGWeb Newsletter. Spring, Article 2 (March 2017), 5 pages.
  
  
• Area determination of diabetic foot ulcer images using a cascaded two-stage SVM based classification
  Lei Wang, Peder C. Pedersen, Emmanuel Agu, Diane Strong, Bengisu Tulu and Ronald Ignotz,
  IEEE Transactions on Biomedical Engineering
  
  
• A Novel CyberPhysical System (CPS) for 3D Imaging of the Small Intestine in Vivo,
  Kaveh Pahlavan, Yishuang Geng, Guanqun Bao, Liang Mi, Emanuel Agu, David R. Cave, Andrew Karellas, Vahid Tarokh, Kamran Sayrafian
  IEEE Access Journal
  
  
• An automatic assessment system of diabetic foot ulcers based on wound area determination, color segmentation and healing score evaluation,
  Lei Wang, Peder C. Pedersen, Diane M. Strong, Bengisu Tulu, Emmanuel Agu, Ron Ignotz, Qian He,
  Journal of Diabetes Technology and Science
  
  
• Smartphone-Based Wound Assessment System for Patients with Diabetes
  Lei Wang, Peder C. Pedersen, Diane Strong, Bengisu Tulu, Emmanuel Agu and Ronald Ignotz,
  IEEE Transactions on Biomedical Engineering, vol.62, no.2, pp.477,488, Feb. 2015
  
  
• The Design, Architecture and Implementation of Sugar, an Android Smartphone App for Advanced Diabetes
  Qian He, Emmanuel Agu, Diane Strong, Bengisu Tulu, Peder Pedersen, Lei Wang
  in Proceedings book of Diabetes Technical Meeting 2013, in Journal of Diabetes Science and Technology
  
  
• Real-Time Dispersive Refraction with Adaptive Spectral Mapping
  Damon Blanchette and Emmanuel Agu,
  International Journal on Artificial Intelligence Tools, 22, 1360019 (2013)
  
  
• Optimizing Adaptive Multi-Route Query Processing via Time-Partitioned Indices
  Karen Works, Elke A. Rundensteiner, and Emmanuel Agu
  Journal of Computer and System Sciences, (JCSS), Special Issue,``Data Warehousing and Knowledge Discovery from Sensors and Streams'', vol 79, issue 3, May 2013, pgs 330-348, Elsevier Publisher
  
  
• Pocket Doctor
  Diane Strong, Emmanuel Agu, Peder Pedersen and Bengisu Tulu
  In Patient Care Magazine, Issue 10, 2012, pgs 35-37
  
  
• On Balancing Energy Consumption, Rendering Speed, and Image Quality on Mobile Devices
  Fan Wu, Emmanuel Agu, Clifford Lindsay and Chung-han Chen
  International Journal of Handheld Computing Research, in 3rd issue, July, 2010.
  
  
• Imperceptible Simplification on Mobile Displays
  Fan Wu, Emmanuel Agu, Clifford Lindsay and Chung-han Chen
  International Journal of Handheld Computing Research
  
  
• Development of routing protocols for the Solar-powered Autonomous Underwater Vehicle (SAUV) platform
  R. Bartoš, S. G. Chappell, R. J. Komerska, M. Haag, S. Mupparapu, E. Agu, and I. Katz
  Wireless Communications and Mobile Computing, Vol.8, No.8, pp. 1075-1088, Aug. 2008.
  
  
• Multiresolution Graphics on Ubiquitous Displays using Wavelets
  Fan Wu, Emmanuel Agu, Matt Ward
  International Journal of Virtual Reality, volume 5(3): 9-15, September 2006.(acceptance rate: 12/522)
  
  
• A Middleware Architecture for Mobile 3D Graphics
  Emmanuel Agu, Kutty Banerjee, Shirish Nilekar, Oleg Rekutin, Diane Kramer
  International Journal of Parallel, Emergent and Distributed Systems (IJPED) special issue on "Mobile Distributed Computing, Volume 21, Issue 3, June 2006
  
  
• Experimental Evaluation of Energy-based Denial-of-Service Attacks in Wireless Networks
  William West and Emmanuel Agu
  International Journal of Computer Science and Network Security (IJCSNS)
  
  

Conferences and Workshops

• MUSIC-CAR: A Multi-label Complex Health-Related Activity Recognition Dataset from Smartphone Sensors,
  Kavin Chandrasekaran, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner,
  Proc. IEEE International Conference on Digital Health (ICDH), 2026. Best paper award
  
  
• A Multi-target Bayesian Transformer Framework for Predicting Cardiovascular Disease Biomarkers during Pandemics",
  Trusting Inekwe, Winnie Mkandawire, Emmanuel Agu, Andres Colubri,
  in Proc, IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE), 2026 (short paper)
  
  
• Comparison Of A Novel Deep Learning Model With Healthcare Professionals In Chronic Wound Infection Detection,
  Bilal M. Chaudhry, Palawat Busaranuvong, Francisco Batiz-Fabella, Eddy C. Rios, Emma N. Mastro, Diane Strong, Bengisu Tulu, Emmanuel Agu, Raymond M. Dunn, Giorgio Giatsidis,
  in American Association of Plastic Surgeons (AAPS) Annual Meeting 2025.
  
  
• A Personalized Transformer Neural Network for Accurate Recognition of Health-Indicative Complex Activities from Smartphone Sensors.
  Kavin Chandrasekaran, Emmanuel Agu, and Elke Rundensteiner,
  In Proc. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’25) (Accepted, to appear)
  
  
• Machine Learning Prediction of Pokemon Go Exergame Enjoyment,
  Cameron Maitland and Emmanuel Agu,
  IEEE International Conference on Serious Games and Applications for Health (SeGAH), 2025.
  
  
• A Genetic Neural Architecture Search Framework to Predict Biomarker Status in Cardiovascular Disease Patients during Pandemics"
  Trusting Inekwe, Emmanuel Agu, Winnie Mkandawire, Andres Colubri,
  in Proc, IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE), 2025 (full paper, oral presentation)
  
  
• Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition,
  Wen Ge, Guanyi Mou, Emmanuel Agu and Kyumin Lee,
  IEEE Percom 2025 (short paper).
  
  
• Contrastive Learning with Auxiliary User Detection for Identifying Activities,
  Wen Ge, Guanyi Mou, Emmanuel Agu and Kyumin Lee,
  IEEE ICMLA 2024 (short paper).
  
  
• Utilizing Generative AI for the Production, Classification, and Annotation of Chronic Wound Images: A Systematic Review,
  Mehrdad Shoeibi, Bengisu Tulu, and Emmanuel O. Agu.
  Proc. AMCIS 2024.
  
  
• Biomarker Trajectory Prediction and Causal Analysis of the Impact of the Covid-19 Pandemic on CVD Patients using Machine Learning Methods,
  Trusting Inekwe, Winnie Mkandawire, Brian Wee, Emmanuel Agu and Andres Colubri,
  Proc IEEE CHASE 2024
  
  
• Stabilizing Adversarial Training for Generative Networks,
  Walter Gerych, Kevin Hickey, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, and Elke Rundensteiner,
  Proc IEEE Big Data 2023, Special Session on Machine Learning on Big Data.
  
  
• On Rejecting Low Quality Images to Improve Deep Smartphone Wound Assessment,
  Apiwat Dittrapron, Emmanuel Agu, Peder Pedersen, Clifford Lindsay, Bengisu Tulu and Diane Strong,
  IEEE International Conference on Machine Learning Applications (ICMLA), special session on health, 2023.
  
  
• Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes.
  Walter Gerych, Kevin Hickey, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Elke Rundensteiner, and Emmanuel Agu,
  In Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023,
  
  
• Masking Kernel for Learning Energy-Efficient Representations for Speaker Recognition and Mobile Health,
  Apiwat Ditthapron, Adam Lammert, Emmanuel Agu,
  Proc INTERSPEECH 2023
  
  
• Machine Learning Prediction of Just Dance Enjoyment from Mobile Sensor Data,
  Joshua Audibert, Elijah Gonzalez, Ryan Orlando, Nicholas Wong, Emmanuel Agu and Mark Claypool,
  2023 IEEE Conference on Games (CoG).
  
  
• Adversarial Human Context Recognition: Evasion Attacks and Defenses,
  Abdulaziz Alajaji, Kavin Chandrasekaran, Luke Buquicchio, Walter Gerych, Emmanuel Agu and Elke Rundensteiner,
  IEEE COMPSAC 2023 Best Paper Award
  
  
• Population Level Analysis of Smartphone Detected Health and Wellness Using Community Phenotypes,
  Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu and Elke Rundensteiner.,
  IEEE ICHI 2023
  
  
• Heterogeneous Hyper-Graph Neural Networks for Human Context Recognition,
  Wen Ge, Guanyi Mou, Emmanuel Agu and Kyumin Lee,
  Work in Progress (WiP), Percom 2023.
  
  
• HAR-CTGAN: A Mobile Sensor Data Generation Tool for Human Activity Recognition,
  Joshua DeOliveira, Walter Gerych, Aruzhan Koshkarova, Elke Rundensteiner, and Emmanuel Agu,
  Proc. IEEE Big Data (special session on healthcare) 2022
  
  
• Video Action Recognition Neural Networks Models for Assessing Cardiac Function from Echocardiograms,
  Abdulsalam Almadani, Abhishek Shivdeo, Emmanuel Agu, and Jacques Kpodonu,
  Proc. IEEE Big Data (special session on healthcare) 2022
  
  
• DeePaGait: Motor Assessment of Parkinson’s Disease Using a Multi-Layer 1D Convolutional Neural Network on Smartphone Gait Data,
  Hamza Abujrida, Emmanuel Agu and Kaveh Pahlavan,
  Proc. IEEE Big Data (special session on healthcare) 2022.
  
  
• Robust Recurrent Classifier Chains For Multi-Label Learning With Missing Labels,
  Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu and Elke Rundensteiner,
  in Proc CIKM 2022.
  
  
• Triplet-based Domain Adaptation (Triple-DARE) for Lab-to-field Human Context Recognition
  Abdulaziz Alajaji et al,
  IEEE Percom 2022, (Industry track).
  
  
• Deep Positive Unlabeled Learning with a Sequential Selection Bias,
  Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Elke Rundensteiner and Emmanuel Agu
  in Proc. SIAM SDM ’22
  
  
• QCRUFT: Quaternion Context Recognition under Uncertainty using Fusion and Temporal Learning
  Wen Ge and Emmanuel Agu,
  in Proc. IEEE International Conference on Semantic Computing (ICSC) 2022.
  
  
• Recovering The Propensity Score From Biased Positive Unlabeled Data
  Walter Gerych, Tom Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner,
  in Proc AAAI, 2022.
  
  
• Passive Smartphone Contact Tracing and Continuous COVID-19 Infection Risk Assessment
  Caitlin Enright, Theodoros Konstantopoulos, Orlando Aviles, Jean-Philippe Pierre, and Emmanuel Agu,
  in Proc IEEE Big Data special session on healthcare 2021.
  
  
• TBI2Vec: Traumatic Brain Injury Smartphone Sensing using AutoEncoder Embeddings
  Sayali Shelke and Emmanuel Agu,
  IEEE Big Data special session on healthcare 2021.
  
  
• GAN For Generating User-Specific Human Activity Data From An Incomplete Training Corpus
  Walter Gerych, Harrison Kim, Joshua DeOliveira, MaryClare Martin, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Emmanuel Agu, and Elke Rundensteiner,
  in Proc. IEEE Big Data special session on healthcare 2021.
  
  
• DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning
  Maryam Hasan, Elke Rundensteiner, Emmanuel Agu,
  in Proc Machine Learning on Big Data (MLBD), special session of IEEE BigData 2021.
  
  
• Variational Open Set Recognition
  Luke Buquicchio, Walter Gerych, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Elke Rundensteiner and Emmanuel Agu,
  in Proc. IEEE Big Data 2021.
  
  
• Machine Learning Prediction of TBI from Mobility, Gait and Balance Patterns
  Bhoomi Kalpesh Patel, Srinarayan Srikanthan, Florina Asani, and Emmanuel Agu,
  in Proc IEEE/ACM Conference on Connected Health Applications, Systems and Engineering Technologies (CHASE) 2021.
  
  
• Local Geometry Preserving Deep Networks for Featurizing High-Dimensional Data
  Walter Gerych el al.
  in Proc. ICMLA 2021
  
  
• Few-Shot Classification for Human Context Recognition Using Smartphone Data Traces
  Luke Buquicchio et. al.
  in Proc ICMLA 2021 (short paper)
  
  
• Learning from Limited Data for Speech-based Traumatic Brain Injury (TBI) Detection
  Apiwat Ditthapron, Emmanuel Agu, Adam Lammert,
  in Proc. ICMLA 2021 (short paper),
  
  
• Machine Learning Estimation of COVID-19 Social Distance using Smartphone Sensor Data
  Oleksandr Semenov, Emmanuel Agu and Kaveh Pahlavan,
  in Proc EMBC 2021
  
  
• Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Detection
  Srinarayan Srikanthan, Florina Asani, Bhoomi Kalpesh Patel and Emmanuel Agu,
  in Proc IEEE International Conference on Digital Health (ICDH) 2021
  
  
• Passive COVID-19 Assessment using Machine Learning on Physiological and Activity Data from Low End Wearables
  Atifa Sarwar and Emmanuel Agu,
  in Proc IEEE International Conference on Digital Health (ICDH) 2021
  
  
• Deep Learning Anomaly Detection methods to passively detect COVID-19 from Audio
  Shreesha Narasimha Murthy and Emmanuel Agu,
  in Proc IEEE International Conferende on Digital Health (ICDH) 2021
  
  
• CARTMAN: Complex Activity Recognition using Topic Models for Feature Generation from Wearable Sensors
  Kavin Chandrasekaran, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Emmanuel Agu, Elke Rundensteiner,
  in Proc IEEE International Conference on Smart Computing (SMARTCOMP) 2021.
  
  
• HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directional Retinex and Exposure Fusion
  Songlin Hou, Clifford Lindsay, Emmanuel Agu, Peder Pedersen, Bengisu Tulu and Diane Strong,
  in Proc Medical Image Understanding and Analysis (MIUA) Conference 2021.
  
  
• An Explainable Machine Learning Model for Chronic Wound Management Decisions
  Haadi Mombini, Bengisu Tulu, Diane Strong, Emmanuel Agu, Clifford Lindsay, Lorraine Loretz, Peder Pedersen, Raymond Dunn,
  in Proc. AMCIS conference 2021
  
  
• PLEADES: Population Level Observation of Smartphone Sensed Symptoms for In-The-Wild Data Using Clustering
  Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Aidan Murphy, Elke Rundensteiner and Emmanuel Agu,
  in International Conference on Information Visualization Theory and Practice (IVAPP) 2021,
  
  
• INTOSIS: Interactive Observation of Smartphone Inferred Symptoms for In-The-Wild Data,
  Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Aidan Murphy, Elke Rundensteiner and Emmanuel Agu,
  in Proc IEEE Big Data 2020, special session on healthcare data
  
  
• DeepSEAS: Smartphone-based Early Ailment Sensing Using Coupled LSTM Autoencoders,
  Shreesha Narasimha Murthy, Florina Asani, Srinarayan Srikanthan, and Emmanuel Agu,
  in Proc IEEE Big Data 2020, special session on healthcare data.
  
  
• Investigating Transfer Learning of Smartphone-Sensed Stress in University Populations,
  Nicole Etienne and Emmanuel Agu,
  in Proc IEEE Big Data 2020, special session on healthcare data.
  
  
• BurstPU: Positive Unlabeled Learning Under Burst Labeling
  Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Aidan Murphy, Elke Rundensteiner and Emmanuel Agu,
  in Proc IEEE Big Data 2020.
  
  
• CRUFT: Context Recognition under Uncertainty using Fusion and Temporal Learning
  Wen Ge and Emmanuel Agu,
  in Proc. ICMLA 2020 (short oral paper)
  
  
• ARGUS: An Interactive Visual Analytics Framework for the Discovery of Disruptions in Bio-Behavioral Rhythms
  Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrakasekaran, Elke Rundensteiner, Emmanuel Agu,
  in Proc EuroVis 2020
  
  
• Do Novice and Expert Users of Clinical Decision Support Tools Need Different Explanations?
  Haadi Mombini, Bengisu Tulu, Diane Strong, Emmanuel Agu, Clifford Lindsay, Lorraine Loretz, Peder Pedersen, Raymond Dunn,
  in Proc AMCIS conference 2020
  
  
• Design of a Machine Learning System for Prediction of Chronic Wound Management Decisions
  Haadi Mombini, Bengisu Tulu, Diane Strong, Emmanuel Agu, Holly Nguyen, Clifford Lindsay, Lorraine Loretz, Peder Pedersen and Raymond Dunn,
  in Proc DESRIST Conference 2019
  
  
• DeepContext: Parameterized Compatibility-Based Attention CNN for Human Context Recognition
  Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Emmanuel Agu and Elke Rundensteiner,
  in Proc IEEE Conference on Semantic Computing (ICSC), 2020
  
  
• DELFI: Mislabeled Human Context Detection using Multi-Feature Similarity Linking
  Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrakasekaran, Elke Rundensteiner, Emmanuel Agu,
  in IEEE Visualization in Data Science (VDS) Symposium, 2019.
  
  
• WeedGait: Unobtrusive Smartphone Sensing of Marijuana-Induced Gait Impairment by Fusing Gait Cycle Segmentation and Neural Networks"
  Ruojun Li, Emmanuel Agu, Ganesh Balakrishnan, Debra Herman, Ana Abrantes, Michael Stein and Jane Metrik,
  in Proceedings of IEEE Healthcare Innovations and Point of Care Technologies Conference (HI-POCT) 2019
  
  
• Get Up!: Assessing Postural Activity and Transitions using Bi-Directional Gated Recurrent Units (Bi-GRUs) on Smartphone Motion Data
  Kavin Chandrasekaran, Luke Buquicchio, Walter Gerych, Emmanuel Agu and Elke Rundensteiner,
  in Proceedings of IEEE Healthcare Innovations and Point of Care Technologies Conference (HI-POCT) 2019
  
  
• The Exergame Enjoyment Questionnaire (EEQ): An Instrument for Measuring Exergame Enjoyment
  Alexander Fitzgerald, Sam Huang, Kyle Sposato, Dongjie Wang, Mark Claypool and Emmanuel Agu,
  in Proc.Hawaii International Conference on System Science (HICSS) 2019.
  
  
• Plugin-based Intervention for Secure Software Development
  Hossain Shahriar, Kai Qian, Dan Lo, Mohammad Rahman, Fan Wu, Sheikh Ahamed, Emmanuel Agu,
  in Proc IEEE Frontiers in Education Conference (FIE) 2019.
  
  
• DroidPatrol: A Static Analysis Plugin For Secure Mobile Software Development,
  Md. Arabin Talukder, Hossain Shahriar, Mohammad Rahman, Sheikh Ahamed, Fan Wu, Emmanuel Agu,
  Proc. of 43rd IEEE Conference on Computer, Software and Applications (COMPSAC), Milwaukee, WI, July 15-19, 2019, pp. 652-655.
  
  
• Drunk Selfie: Intoxication Detection from Smartphone Selfie Images,
  Colin Willoughby, Ian Banatoski, Paul Roberts and Emmanuel Agu,
  in Proceedings IEEE International Workshop on Integrated Smart Healthcare (WISH 2019) (co-located with IEEE COMSAC)
  
  
• On Smartphone Sensability of Bi-Phasic User Intoxication Levels from Diverse Walk Types in Standardized Field Sobriety Tests,
  Ruojun Li, Ganesh Balakrishnan, Jiaming Nie, Yu Li, Emmanuel Agu, Michael Stein, Ana Abrantes, Deborah Herman, Kristine Grimone,
  in Proc IEEE EMBS EMBC 2019
  
  
• COMEX: Identifying Mislabelled Human Behavioral Context Data using Data Visual Analytics,
  Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrakasekaran, Elke Rundensteiner, Emmanuel Agu,
  in Proc 1st IEEE International Workshop on Deep Analysis of Data Driven Applications (DADA) 2019.
  
  
• Design of a Rule-based Decision Model for Assessment of Chronic Wounds,
  Haadi Mombini, Bengisu Tulu, Diane Strong, Emmanuel Agu, Holly Ngyuen, Peder Pedersen, Clifford Lindsay, Raymond Dunn and Lorraine Loretz,
  Late Breaking submissions, DESRIST 2019
  
  
• Classifying Depression in Imbalanced Datasets using an Autoencoder-based Anomaly Detection Approach,
  Walter Gerych, Emmanuel Agu and Elke Rundensteiner,
  in Proc IEEE Conference on Semantic Computing (ICSC) 2019
  
  
• Fact or Fiction: An Application to Subvert Fake News,
  Charles Lovering, Anqi Lu, Cuong Nguyen, Huyen Nguyen, David Hurley and Emmanuel Agu,
  in Proc Conference for Computer Supported Cooperative Work (CSCW) 2018
  
  
• Authentic Learning Secure Software Development (SSD) in Computing Education,
  Kai Qian, Dan Chia-Tien Lo, Fan Wu, Emmanuel Agu and Bei-Tseng Chu,
  in Proc. IEEE Frontiers in Education (FIE) Conference, 2018.
  
  
• Smartphone-Based Gait Assessment to Infer Parkinson's Disease Severity using Crowdsourced Data,
  Hamza Abujrida, Emmanuel Agu and Kaveh Pahlavan,
  in Proceedings of the IEEE-NIH Special Topics Conference on Healthcare Innovations and Point-of-Care Technologies (HI-POCT ’17), Washington DC, 2017 (accepted, to appear)
  
  
• Detruncation of Attenuation Maps using Neural Networks,
  Akshay Thejaswi, Aditya Nivarthi, Daniel Beckwith, Clifford Lindsay and Emmanuel Agu,
  IEEE nuclear science symposium and medical imaging conference (NSS/MIC) 2017, Oral presentation
  
  
• AlcoWear: Detecting Blood Alcohol Levels from Wearables,
  Andrew McAfee, Jacob Watson, Ben Bianchi, Christina Aiello, Emmanuel Agu,
  in Proceedings IEEE Conference on Ubiquitous Intelligence and Computing (UIC) 2017
  
  
• A Rhythm Analysis-Based Model to Predict Sedentary Behaviors
  Qian He and Emmanuel Agu,
  in Proceedings of IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) 2017, Philadelphia, PA
  
  
• Habit App: Feasibility of a Weight Loss Problem Solving App
  Sherry Pagoto, Jessica Oleski, Effie Olendzki, Molly Waring, Emmanuel Agu, Bengisu Tulu,
  Annual meeting of the Society of Behavioral Medicine (SBM) 2017, San Diego (Abstract)
  
  
• Using Social Sensing to Discover Trends in Public Emotion
  Maryam Hasan, Elke Rundensteiner, Xiangnan Kong and Emmanuel Agu
  in Proc IEEE International Conference on Semantic Computing (ICSC) 2017
  
  
• Broadening Secure Mobile Software Development (SMSD) Through Curriculum Development,
  Kai Qian, Hossain Shahriar, Fan Wu, Cassandra Thomas and Emmanuel Agu,
  in Proceedings ACM SIGCSE 2017, Seattle, WA, March 8-11, 2017 (Poster Session).
  
  
• Exer-Walls . A Health Alternative to Paywalls in Mobile Games
  Philipp Baumann, Anthony Gallo, Emmanuel Agu and Mark Claypool,
  in Proceedings of the Meaningful Play Conference 2016
  
  
• Smartphone Usage Contexts and Sensable Patterns as Predictors of Future Sedentary Behaviors
  Qian He and Emmanuel Agu,
  in Proceedings of the IEEE-NIH Special Topics Conference on Healthcare Innovations and Point-of-Care Technologies (HI-POCT .16), Cancun, Mexico, Nov 9-11, 2016
  
  
• Autonomously Sensing Loneliness and Its Interactions with Personality Traits using Smartphones
  Gauri Pulekar and Emmanuel Agu,
  , in Proceedings of the IEEE-NIH Special Topics Conference on Healthcare Innovations and Point-of-Care Technologies (HI-POCT .16), Cancun, Mexico, Nov 9-11, 2016
  
  
• Investigating Postural Sway Features, Normalization and Personlization in Detecting Blood Alcohol Levels of Smartphone Users
  Christina Aiello and Emmanuel Agu,
  in Proc Wireless Health Conference 2016.
  
  
• A Cyber-Physical Recommender System to Discover Smartphone Exergame Enjoyment
  Emmanuel Agu and Mark Claypool,
  in Proc International Workshop on Engendering Health with RecSys (co-located with ACM RecSys) 2016
  
  
• Towards Sedentary Lifestyle Prevention: An Autoregressive Model for Predicting Sedentary Behaviors
  Qian He and Emmanuel Agu,
  IEEE Medical Information and Communication Technology Conference (ISMICT), Worcester, MA, USA, March 20-23 2016.
  
  
• A Frequency Domain Algorithm to Identify Recurrent Sedentary Behaviors from Activity Time-Series Data
  Qian He and Emmanuel Agu,
  IEEE International Conference on Biomedical and Health Informatics, Las Vegas, NV, USA on Feb 24-27 2016.
  
  
• A Speech-Based Mobile App for Restaurant Order Recognition and Low-Burden Diet Tracking
  Xiaochen Huang and Emmanuel Agu,
  in Proc International Conference on Smart Health (ICSH) 2015 (short paper)
  
  
• Many Lights Real Time Global Illumination using Sparse Voxel Octree
  Chen Sun and Emmanuel Agu,
  in Proceedings International Symposium on Visual Computing (ISVC) 2015
  
  
• Location-Dependent Vocabularies and Speaker Style Personalization for Accurate Mobile Diet Recognition
  Xiaochen Huang and Emmanuel Agu,
  in Proc. IEEE Conference on Healthcare Informatics 2015, Dallas, Texas (Extended abstract)
  
  
• Exploring Statistical GLCM Texture Features for Classifying Food Images
  Qiwen Chen and Emmanuel Agu,
  in Proc. IEEE Conference on Healthcare Informatics 2015, Dallas, Texas (Extended abstract)
  
  
• Design Implications of User Experience Studies: The Case of a Diabetes Wellness App,
  Bengisu Tulu, Diane Strong, Lei Wang, Qian He, Emmanuel Agu, Peder Pedersen, Soussan Djamasbi,
  in Proc HICSS 2016
  
  
• A Factorial Experiment to Investigate Naturalistic Factors Affecting Smartphone Gait Analysis,
  Zach Arnold, Danielle LaRose, Emmanuel Agu,
  in Proc 17th International Conference on e-Health Networking, Applications and Services (Healthcom) 2015 (short paper)
  
  
• Smartphone Inference of Alcohol Consumption Levels from Gait
  Zachary Arnold, Danielle LaRose and Emmanuel Agu,
  in Proc. IEEE Conference on Healthcare Informatics 2015, Dallas, Texas (to appear)
  
  
• Smart Coach: A Problem-Solving Mobile App to Support Weight Loss Management
  Bengisu Tulu, Emmanuel Agu, Stephenie Lemon, Jessica Oleski, Martinus Evans, Sherry Pagoto,
  in Proc AMIA 2015 (poster)
  
  
• Using Hashtags as Labels for Supervised Learning of Emotions in Twitter Messages
  Maryam Hasan, Elke Rundensteiner, Emmanuel Agu, in Twitter Messages,
  in New England Database Day (NEDBDay) January 2015, MIT (poster)
  
  
• Previsualization using a Computational Photography Camera,
  Clifford Lindsay and Emmanuel Agu,
  in Proc. International Symposium on Visual Computing (ISVC) 2014, Las Vegas, Nevada
  
  
• Automatic Multi-Light White Balance using Illumination Gradients and Color Space Projection,
  Clifford Lindsay and Emmanuel Agu,
  in Proc. International Symposium on Visual Computing (ISVC) 2014, Las Vegas, Nevada
  
  
• A Smartphone-based Digital Hearing Aid to Mitigate Hearing Loss at Specific Frequencies
  Wei Wang, Zhilu Chen, Baoyuan Xing, Xiaochen Huang, Shengwen Han and Emmanuel Agu,
  in Proc Workshop on Mobile Medical Applications (MMA) 2014, co-located with ACM Sensys 2014, Memphis Tennesee
  
  
• RecFit: A Context-Aware System for Recommending Physical Activities,
  Qian He, Emmanuel Agu, Diane Strong and Bengisu Tulu,
  in Proc Workshop on Mobile Medical Applications (MMA) 2014, co-located with ACM Sensys 2014, Memphis Tennesee
  
  
• Assessing Diabetic Foot Ulcer Healing at Wound Clinics: Development of a Tracking System Using SVM based Classification
  Lei Wang, Peder C. Pedersen, Diane Strong, Bengisu Tulu, Emmanuel Agu, Qian He,
  in Diabetic Technology Meeting (poster), Bethesda, Maryland, Nov, 2014
  
  
• Using Hashtags as Labels for Supervised Learning of Emotions in Twitter Messages
  Maryam Hasan, Emmanuel Agu, Elke Rundensteiner
  in SIGKDD Health Informatics Workshop (HI-KDD), co-located with ACM SIGKDD 2014
  
  
• Detection of diabetic foot ulcers using SVM based classification
  L Wang, P. C. Pedersen, D. M. Strong, B. Tulu, E. Agu, Q. He,
  University of Massachusetts Center for Clinical and Translational Science, 5th Annual Research Retreat, May 20, 2014
  
  
• Characterizing the Performance and Behaviors of Runners using Twitter
  Qian He, Emmanuel O. Agu, Diane M. Strong, Bengisu Tulu, Peder C. Pedersen
  University of Massachusetts Center for Clinical and Translational Science, 5th Annual Research Retreat, May 20, 2014
  
  
• A Context-Aware Activity Recommendation Smartphone Application to Mitigate Sedentary Lifestyles
  Qian He and Emmanuel O. Agu,
  University of Massachusetts Center for Clinical and Translational Science, 5th Annual Research Retreat, May 20, 2014
  
  
• Design of the Feedback Engine for a Diabetes Self-Care Smartphone App
  Diane Strong, Bengisu Tulu, Emmanuel Agu, Qian He, Peder Pedersen, Lei Wang, Ronald Ignotz, Raymon Dunn, Sherry Pagoto and David Harlan,
  in Association for Information Systems Conference (AMCIS) 2014
  
  
• EMOTEX: Detecting Emotions in Twitter Messages
  Maryam Hasan, Elke Rundensteiner and Emmanuel Agu
  iin ASE Socialcom 2014 (to appear)
  
  
• On11: An Activity Recommendation App to mitigate sedentary lifestyles
  Qian He and Emmanuel Agu
  in Proceedings Physical Analytics Workshop, co-located with ACM Mobisys 2014
  
  
• Sugar: A Mobile Phone App for Diabetes and Diabetic Wound Management,
  Diane Strong, Emmanuel Agu, Peder C. Pedersen, Bengisu Tulu, Qian He, Lei Wang, Ronald Ignotz, Raymond Dunn, David Harlan, and Sherry Pagoto,
  in Proceedings American Medical Informatics Association (AMIA) 2013 (poster)
  
  
• Smartphone-Based Wound Assessment System for Diabetic Patients
  Lei Wang, Peder Pedersen, Diane Strong, Bengisu Tulu, Emmanuel Agu and Qian He
  in Diabetes Technical Meeting (DTM) 2013 (poster) (to appear)
  
  
• Characterizing the Performance and Behaviors of Runners Using Twitter
  Qian He, Emmanuel Agu, Peder Pederson, Diane Strong and Bengisu Tulu
  in Proc IEEE International Conference on Healthcare Informatics (ICHI) 2013, Philadelphia, PA (full paper)
  
  
• On Time-Use Surveys for Ubiquitous Computing Solutions in a Pharmacy Environment
  Minh Hyunh, Kevin Lo and Emmanuel Agu
  in Proc IEEE International Conference on Healthcare Informatics (ICHI) 2013, Philadelphia, PA (extended abstract)
  
  
• RFID-Based Public Space Navigation System for the Visually Impaired
  Punit Dharani, Benjamin Lipson, Devin Thomas and Emmanuel Agu
  in Proc IEEE International Conference on Healthcare Informatics (ICHI) 2013, Philadelphia, PA (extended abstract)
  
  
• The smartphone as a Medical Device: Assessing Enablers, Benefits and Challenges
  Emmanuel Agu, Peder C. Pedersen, Diane Strong, Tulu Bengisu, Qian He, Lei Wang, Yejin Li
  in Proc Workshop on Design Challenges in Mobile Medical Device Systems (DC-MMDS) (in conjunction with IEEE SECON 2013)
  
  
• Wound Image Analysis System for Diabetics
  Lei Wang, Peder C. Pedersen, Emmanuel Agu, Diane Strong, Tulu Bengisu
  in Proc. SPIE Medical Imaging Conference, (poster) Lake Buena Vista, FL, Febr. 9 - 14, 2013
  
  
• Malicious WiFi Networks: A First Look
  Andrew Zafft and Emmanuel Agu
  in Proc Workshop on Security in Communications Networks (SICK), co-located with IEEE Conference on Local Computer Networks (LCN), Clearwater, Florida, October 2012
  
  
• Adaptive Spectral Mapping for Real-Time Dispersive Refraction
  Damon Blanchette and Emmanuel Agu,
  in Proc. International Symposium on Visual Computing (ISVC) 2012, Crete, Greece.
  
  
• Diabetes Self Management: Role of Mobile Apps in Supporting Patients with Advanced Diabetes and Foot Ulcers
  Tulu, B., Strong, D., Agu, E., Pedersen, P., He, S., Wang, L. (2012)
  in Proceedings of Medicine 2.0 5th World Congress on Social Media, Mobile Apps, and Internet/Web2.0, September 15-16, 2012, Boston, Massachusetts, USA.
  
  
• Mom-O-Meter: A self help pregnancy Android app.
  Tulu, B., Agu, E., Ng, M., Duderewicz, E., Harris, B., Jenkins, T., Miyaguchi, K., Moore-Simas, T., Rosal, M. (2011)
  Poster, American Medical Informatics Association 2011 Annual Symposium, October 23-26, 2011, Washington, D.C., USA.
  
  
• Index Tuning for Adaptive Multi-Route Data Stream Systems
  K E Works, E A Rundensteiner, E Agu
  in Proc. Scalable Stream Processing Systems Workshop (SSPS) 2010
  
  
• Unequal Error Protection (UEP) for Wavelet-Based Wireless 3D Mesh Transmission
  Fan Wu, Emmanuel Agu, Clifford Lindsay and Chung-han Chen
  in Proc. 8th IEEE International Symposium on Network Computing and Applications (IEEE NCA09), Cambridge, MA. July 2009
  
  
• Index System for Adaptive Multi-Route Data Stream Systems
  Karen Works, Elke Rundensteiner, Emmanuel Agu
  Poster, New England Database Day (NEDBDay) January 2009, MIT.
  
  
• Index System for Adaptive Multi-Route Data Stream Systems
  Karen Works, Elke Rundensteiner, Emmanuel Agu
  Poster, CRA-W Grad Cohort for Women Program , April 2009
  
  
• Adaptive CPU Scheduling to Conserve Energy in Real-Time Mobile Graphics Applications
  Fan Wu, Emmanuel Agu and Clifford Lindsay
  in Proc. International Symposium on Visual Computing, 2008, Las Vegas, Nevada
  
  
• Adaptive CPU Scheduling to Conserve Energy in Real-Time Mobile Graphics Applications
  Fan Wu, Emmanuel Agu and Clifford Lindsay
  (Short paper and Research Poster), Pacific Graphics 2008, Tokyo, Japan. October 2008
  
  
• Dynamic Adaptation of Color Appearance on Mobile Devices using Environmental Cues
  Clifford Lindsay, Emmanuel Agu, Fan Wu,
  in Proc. Graphics Interface, May 2008
  
  
• ENCORE: Energy-Conscious Rendering for Mobile Devices,
  Chang, C.-H., Lohrmann, P., Agu, E., Lindeman, R.,
  to be presented at the First Workshop on General Purpose Processing on Graphics Processing Units, Oct. 4, 2007, in Boston, MA, USA.
  
  
• Pareto-Based Perceptual Metric for Imperceptible Simplification on Mobile Displays
  Fan Wu, Emmanuel Agu and Clifford Lindsay
  in Proc. Eurographics 2007
  
  
• UbiWave: Ubiquitous Multiresolution Graphics using Wavelets
  Fan Wu, Emmanuel Agu, Matt Ward
  in Proc. International Conference on Artificial Reality and Telexistence (ICAT) 2006.
  
  
• Physically-Based Real-Time Diffraction Using Spherical Harmonics
  Clifford Lindsay and Emmanuel Agu
  in Proc. International Symposium on Visual Computing (ISVC) 2006, Lake Tahoe, NV.
  
  
• Status Packet Deprecation and Store-Forward Routing in AUSNet
  Matt Haag, Rick, Emmanuel Agu, Rick Komerska, Steven G Chappell and Radim Bartos
  in Proc. The ACM International Workshop on UnderWater Networks (WUWNet) 2006 (in conjunction with ACM Mobicom).
  
  
• Characteristics of Mobile Web Content
  Paul Timmins, Sean McCormick, Emmanuel Agu, and Craig Wills
  in Proc. HotWeb 2006 Workshop, Boston, MA.
  
  
• Unequal Error Protection for Wavelet-Based Wireless Mesh Transmission
  Fan Wu and Emmanuel Agu
  in ACM SIGGRAPH 2006 (Research poster), Boston, MA
  
  
• Real-Time Wavelength-Dependent Rendering Pipeline
  Clifford Lindsay and Emmanuel Agu
  in ACM SIGGRAPH 2006 (Research poster), Boston, MA.
  
  
• A Campus-wide Mobile EMS Information Management System
  B L'Heureux, M McHugh, B Privett, R Kinicki and Emmanuel Agu
  in 1st ACM Workshop on Pervasive Healthcare (Ubicare), (in conjunction with PerCom) 2006.
  
  
• Trade-offs between Energy and Security in Wireless Networks
  Fernando C. Colon Osorio, Emmanuel Agu, and Kerry McKay
  The 2005 Software Defined Radio Technical Conference, November 14-18 2005, Orange County, CA.
  
  
• Comparison of security protocols in Mobile Wireless Environments: Tradeoff's between level of security obtained and battery life
  Fernando C. Colon Osorio, Kerry McKay and Emmanuel Agu
  in First IEEE/Create-Net Workshop on Security and QoS in Communication Networks, 2005
  
  
• Spherical Harmonic Lighting of Wavelength-Dependent Phenomena
  Cliff Lindsay, Emmanuel Agu
  in Proc. Eurographics 2005
  
  
• Estimating Mobile Memory Requirements and Rendering Time for Remote Execution of the Graphics Pipeline
  Kutty Banerjee, Fan Wu, Emmanuel Agu
  in Proc. Eurographics 2005.
  
  
• Remote Execution for 3D Graphics on Mobile Devices,
  Kutty Banerjee, Emmanuel Agu,
  in proc. IEEE WirelessCom Conference, Maui, Hawaii, 2005.
  
  
• PowerSpy: Fine-Grained Software Energy Profiling for Mobile Devices
  Kutty Banerjee, Emmanuel Agu,
  in Proc IEEE WirelessCom Conference, Maui, Hawaii, 2005.
  
  
• A Middleware Architecture for Mobile 3D Graphics”
  Emmanuel Agu, Kutty Banerjee, Shirish Nilekar, Oleg Rekutin, Diane Kramer
  in Proc. 3rd International Workshop on Mobile Distributed Computing (MDC'05), to be held in conjuction with the 25th Int'l Conf. on Distributed Computing Systems (ICDCS'05), Columbus, Ohio
  
  
• Measuring Energy-Security Tradeoffs in Wireless Networks,
  Fernando C. Colon Osorio, Emmanuel Agu, and Kerry McKay
  in Proc. IEEE IPCCC 2005.
  
  
• Location Fingerprinting on Infrastructure 802.11 Wireless Local Area Networks (WLANs) using Locus
  Ali Taheri, Arvinder Singh and Emmanuel Agu,
  in Proc Fourth International IEEE Workshop on Wireless Local Networks, (in conjunction with IEEE LCN 2004)
  
  
• Locus: A Tool for Tag-less Location Sensing on 802.11 Wireless LANs with Display in SVG,
  Ali Taheri, Arvinder Singh and Emmanuel Agu,
  in Proc. SVG Open Conference 2004
  
  
• Performance Enhancement of TFRC in Wireless Networks
  Mingzhe Li, Emmanuel Agu, Mark Claypool, Robert Kinicki and Choong-Soo Lee,
  in Proc. Special Session on Multimedia Streaming in Ad hoc Networks at the 2004 International Conference on Distributed Multimedia Systems (DMS ‘04), San Francisco Bay, California
  Longer version appears as Technical Report WPI-CS-TR-03-33, Computer Science Department, Worcester Polytechnic Institute, October 2003
  
  
• The Effects of Loss and Latency on User Performance in Unreal Tournament 2003,
  Tom Beigbeder, Rory Coughlan, Corey Lusher, John Plunkett, Emmanuel Agu and Mark Claypool.
  in Proc ACM NetGames 2004
  also Technical Report WPI-CS-TR-04-11,
  Computer Science Department, Worcester Polytechnic Institute, April 2004.
  
  
• Low Delay Marking for TCP in Wireless Ad Hoc Networks
  Choong-Soo Lee, Emmanuel Agu, Mark Claypool, Robert Kinicki and Mingzhe Li.
  in Proceedings of IEEE Workshop on Multihop Wireless Networks (MWN), Phoenix, Arizona, USA, April 2004
  Longer version appears as Technical Report WPI-CS-TR-03-34, Computer Science Department, Worcester Polytechnic Institute, October 2003
  
  
• A Simple Method for Ray Tracing Diffraction,
  Agu E and Hill F.S.,
  in Proc. 2nd International Workshop on Computer Graphics and Geometric Modeling, CGGM 2003, Montreal, Canada, May 2003
  
  
• The Effect of Latency on User Performance in Warcraft III,
  Nathan Sheldon, Eric Girard, Seth Borg, Mark Claypool, and Emmanuel Agu, in Proc. ACM NetGames 2003, May 2003
  Also appears as Technical Report WPI-CS-TR-03-07, Computer Science Department, Worcester Polytechnic Institute, March 2003.
  
  
• Diffraction Shading Models for Iridescent Surfaces,
  Agu E. and Hill F. S.,
  in Proc. IASTED International Conference on Visualization, Imaging and Image Processing (VIIP) 2002.
  
  
• Mobile Extensions to RSVP
  Awduche D. and Agu E.,
  in Proc. Intl Conf. On Computer Communications and Networks (IC3N), Las Vegas, Sept 22-27, 1997
  
  
• A Resource Reservation Protocol for Wireless Local Area Networks
  Agu E. and Ganz A.,
  in Proc. Massachusetts Telecommunications Conference (MTC) 1996
  
  

Theses/Dissertation

• Diffraction Shading Models for Iridescent Surfaces,
  PhD Dissertation,
  Dept. of Electrical and Computer Engineering, University of Massachusetts-Amherst, September 2001
  
  
• Wireless Local Area Networks Medium Access Control Protocols,
  Masters Thesis,
  Dept. of Electrical and Computer Engineering, University of Massachusetts-Amherst, May 1996
  
  
• Design and Implementation of a 6-bit Digital Adder,
  Bachelor’s Thesis,
  Dept. of Electrical and Electronic Engineering, University of Benin, Nigeria, April 1994
  
  

Grants Awarded

• Stability Health Sandbox Grant, Massachusetts Technology Collaborative (MeHI),
  PI David Harlan, co-PIs Mike Aspinwall, Emmanuel Agu, Diane Strong, Bengisu Tulu, Soussan Djamasbi, Rodica Neamtu,
  Award Amount: $50,000, 2020 Academic year
  
  
• 2 T32 CA172009 Prevention and Control of Cancer: Training for Change in Individuals and Systems (PRACCTIS 2.0), NIH National Cancer Institute (NCI), T32 grant,
  MPIs Lemon/Houston UMMS, WPI mentors: Emmanuel Agu, Dmitry Korkin, Elke Rundensteiner, Sharon Johnson, Diane Strong,
  Funding Amounts: $1,558,829, Funding Dates: 08/08/2019 – 07/31/2024
  
  
• Design and Synthesis of Materials for Agile Manufacturing,
  Danielle Cote (PI),
  Army Research Labs (ARL), Funding Amount: $24,999,821.00, Dates: 08/15/19 – 08/14/22
  
  
• HR001117S0032-WASH-FP-031, DH-Warfighter: Improving Warfighter Health by Early Detection of Digital Biomarkers,
  Emmanuel Agu (PI), Elke Rundensteiner (co-PI),
  Defense Advanced Research Agencies (DARPA). Funded Amount $2,803,313. Requested dates 3/1/2018 – 2/28/2022
  
  
• 1R01EB025801-01 SCH: INT: Smartphone Wound Image Parameter Analysis and Decision Support in Mobile Environments,
  Emmanuel Agu (PI), Diane Strong (co-PI), Bengisu Tulu (co-PI),
  National Science Foundation, Smart and Connected Health Program. Requested amount $1,968,571. Requested dates 9/1/2017 – 8/30/2021 (funded by NIH NIBIB)
  
  
• 1R21AA025193-01 Machine Learning Approach for Inferring Alcohol Intoxication Levels from Gait Data,
  Michael Stein (PI), Emmanuel Agu (PI), Ana Abrantes (co-I),
  NIH R21 National Institute on Alcoholism. PA-14-188. Requested amount $408,578, WPI sub-contract amount ($115,469). Requested Dates 7/1/17-6/30/19
  
  
• NSF Award # 1723555 Collaborative Research: Broadening Secure Mobile Software Development (SMSD) Through Curriculum and Faculty Development,
  Fan Wu (PI), Cassandra Thomas (co-PI), Kai Qian (co-PI), Hossain Shahriar (co-PI), Emmanuel Agu (co-PI).
  Requested amount ($498,970), WPI Share $149,487. Requested Dates 09/01/17-08/30/20
  
  
• Stroke Rehabilitation through Gaming: Proactively Predicting Non-Adherence to Facilitate Just-In-Time Interventions
  Mark Claypool, Lynn Gauthier, Emmanuel Agu,
  UML-WPI Collaborative Seed Funding, $11,486, Summer 2019
  
  
• NIH R21AA024295 A Tailored Physical Activity Smartphone App for Patients with Alcohol Dependence,
  Abrantes (PI), co-PIs: Michael Stein, Emmanuel Agu,
  Award Amount: $207,207. Award Dates: 4/1/16-3/31/21
  
  
• NIH NIDA grant 1R21DA041153-01A1 A Smartphone App to Facilitate Buprenorphine Discontinuation,
  PI: Abrantes, co-PIs: Michael Stein, Emmanuel Agu.
  Award Amount: $103,609. Award Dates: 6/15/16 . 5/31/18
  
  
• KERN Entrepreneurial Engineering Network grant, Developing the Entrepreneurial Engineer,
  Glenn Gaudette (PI), Emmanuel Agu Entrepreneurial Engineering Faculty (EEF)
  Award Amount: $1,760,000. Award dates June 2016 . April 2019
  
  
• SocialoScope: A Passive System to Infer Loneliness from the Interaction and Communication Patterns of Smartphone Users, WPI Health Delivery Institute (HDI) Internal Grant.
  PI: SocialoScope: A Passive System to Infer Loneliness from the Interaction and Communication Patterns of Smartphone Users, Emmanuel Agu.
  Award Amount: $21,000. Award Dates: June 1-August 31, 2016
  
  
• REU SITE: Data science research for healthy, safe, and sustainable communities,
  Elke Rundensteiner and Fatemeh Emdad (PIs), Program faculty: Emmanuel Agu, Mohamed Eltabakh, Carolina Ruiz, Xiangnan Kong, Yanhua Li, Lane Harrison, Dmitry Korkin, Jian Zou, Randy Paffenroth.
  Award Amount: $358,574. Award Dates: May 2016 - April 2019
  
  
• KERN Entrepreneurial Engineering Network grant, Developing the Entrepreneurial Engineer,
  Glenn Gaudette (PI), Emmanuel Agu Entrepreneurial Engineering Faculty (EEF)
  Award Amount: $488,500. Award dates June 2015 – April 2016
  
  
• Grant Number: NIH R01HL122302, Project Title: RELAX: A Mobile Application Suite Targeting Obesity and Stress,
  Principal Investigator: Pagoto, Sherry L, WPI co-PIs: Bengisu Tulu (School of Business), Emmanuel Agu (Computer Science), Tsung-Ye Wang (School of Business).
  Award amount: $1,952,780. WPI sub-contract: $618,546. Project period: 12/1/2014 - 11/30/2017
  
  
• Grant Number: 1 R21 DK098556-01, Project Title: Feasibility Trial of a Problem-Solving Weight Loss Mobile,
  Principal Investigator: Pagoto, Sherry L, WPI co-PIs: Bengisu Tulu (School of Management), Emmanuel Agu (Computer Science).
  Award amount: $470,393. WPI sub-contract: $90,020. Project period: 4/1/2013 - 3/31/2015
  
  
• SHB: Medium: Self-Care Management: Patient-Centered Diabetic Wound Care Using Smart Phones, National Science Foundation, CISE Smart Health and Wellbeing program,
  D. Strong, PI, E. Agu, R. Ignotz, P. Pedersen, B. Tulu, Co-PIs,
  Award Period: September 2011-2015, budget $1.2 million
  
  
• Equipment gift from Nvidia Corp Inc. (1 Programmable Graphics Card for Desktop Computers)
  Emmanuel Agu (PI) ),
  $500 of equipment from Nvidia Corp Inc., April 2011
  
  
• Equipment gift from Nokia Inc (5 C5 Smartphones)
  Emmanuel Agu (PI),
  $1250 of equipment from Nokia Inc, March 2011
  
  
• Equipment gift from Google Inc (20 Motorola Droid 2 Smartphones)
  Emmanuel Agu (PI),
  $8500 of equipment from Google Inc , May 2010
  
  
• Speedup of Synthetic Aperture Radar Algorithm using GPUs,
  Emmanuel Agu,
  $8,000, Raytheon Inc, December 2009
  
  
• Airdrop research projects,
  David Olinger and Emmanuel Agu (co-PIs),
  $40,000, Airdrop Technology Team at Natick Soldier Research, Development, and Engineering Center, under Solicitation Number "07-09 Natick BAA", January 2008
  
  
• Fellowships in Computer Science to Support the Learning Sciences and Security,
  Matthew Ward (PI) and Emmanuel Agu, George Heineman, Neil Heffernan (co-PIs),
  $804,940, ($177,610 cost-sharing), GAANN proposal, Nov 2005. Requested dates: 8/06 to 7/09.
  
  
• Equipment gift from ATI Inc (10 Programmable Graphics Cards for Desktop Computers)
  Emmanuel Agu (PI) and Robert Lindeman (co-PI),
  $5000 of equipment from ATI Inc.
  
  
• Location-Aware Computing,
  E Agu (PI),
  $6450 research grant from the WPI Research and Development Council (RDC), summer 2005
  
  
• An Integrated Multi-Layer Wireless LAN Testbed,
  K. Pahlavan (PI) and E. Agu (co-PI),
  $380,000 equipment grant from the National Science Foundation (NSF), #0303592 October 2003
  
  
• Mobile Adaptive Distributed Graphics Framework (MADGRAF),
  Emmanuel Agu (PI),
  $4500 research grant from the WPI Research and Development Council (RDC), summer 2003
  
  

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