Faculty and Staff Profiles

• Ph.D. Computer Science & Engineering - The Ohio State University, Columbus, USA - 2007
• M.S. Electrical Engineering - The Ohio State University, Columbus, USA - 2002
• B.E. Electronics & Telecommunication Engineering - Jadavpur University, Kolkata, India - 2000

• Assistant Professor, Institute for Intelligent Systems, and Dept. of Electrical & Computer Engineering - University of Memphis - 8/11-present
• Adjunct Faculty, Information Technology - Colorado Technical University (online campus) - 1/11-present
• Senior Scientist, R&D - Audigence Inc. (a startup healthcare/biomedical company) - 6/07-1/11
• Graduate Research Associate, Lab for AI Research, Dept. of Computer & Information Science - The Ohio State University, Columbus - 9/01-6/07
• Graduate Research Associate, Intelligent Transportation Systems, Dept. of Electrical Engineering - The Ohio State University, Columbus - 9/00-8/01
• Intern, Computer Vision and Pattern Recognition Unit - Indian Statistical Institute - 6/99-4/00

• Designated as “Smart City Research Fellow” - University of Memphis - 2016
• Best poster award (with my doctoral student Jayanta Kumar Dutta) - Department of Electrical & Computer Engineering Poster Competition - University of Memphis - Fall 2014
• Featured in the Update Newsletter - University of Memphis - January 2013
• Featured in the Herff Headlines - University of Memphis - October-November 2012
• Featured as part of the start-up company Audigence Inc. in Florida Today -   - February 2009
• Edward J. Ray Travel Award for Scholarship and Service - Council of Graduate Students, The Ohio State University - 2004 (MBR’04, Pavia, Italy), 2006 (CP’06, Nantes, France)
• Queen’s Graduate Fellowship (declined) - Queen’s University, Canada - 2000-01
• Honorary mention of Autopoiesis (conceived and designed by Prof. Ken Rinaldo, new behaviors programmed by Bonny Banerjee) - Festival Ars Electronica (Interactive Art), Austria - 2001
• J. N. TATA Scholarship - The J. N. Tata Endowment Scholarships, India - 2000
• M. V. Chauhan Merit Certificate - IEEE Council, India - 1999
• The National Scholarship - Government of India - 1994, 1996

• EECE/COMP 7720/8720 Artificial Intelligence - University of Memphis (Spring 2016)
• EECE/COMP 4720/6720 Introduction to Artificial Intelligence - University of Memphis (Fall 2014, Spring 2017)
• EECE 7522/8522 Stochastic/Adaptive Control Theory - University of Memphis (Fall 2014)
• EECE 4251/6251 Control Systems Engineering - University of Memphis (Fall 2013, Fall 2015, Fall 2016)
• EECE 7905/8905 Neural Models of Real-World Perception - University of Memphis (Spring 2013, Spring 2014)
• EECE 7266/8266 Intelligent Systems - University of Memphis (Fall 2012)
• COMP/PSYC/PHIL 7514/8514 Cognitive Science seminar on "Neural Models of Real-World Perception" - University of Memphis (Spring 2012)
• Object Oriented Programming in Java - Colorado Technical University (online campus, 2011)

• Ph.D. - Shamima Najnin - Fall 2013-present
• Ph.D. - Masoumeh Heidari Kapourchali - Spring 2017-present
• Ph.D. - Murchana Baruah - Spring 2016-present
• Ph.D. - Ali Salehi - Spring 2017-present
• M.S. - Mousumi Deb - Fall 2015-present
• M.S. - Dewashish Koirala - Fall 2015-present
• M.S. - Saurabh Pahune - Fall 2016-present
• M.S. - Ravi Prakash Kasani - Fall 2011-Summer 2013 (joined Cummins Inc.)
• M.S. - Juan Gu - Spring 2012-Summer 2013 (joined Wasatch Computer)
• M.S. - Jayanta Kumar Dutta - Spring 2012-Fall 2013 (pursuing Ph.D. in EECE)
• M.S. - Siddartha Reddy Posam - Fall 2011-Fall 2013
• M.S. - Vineesha Manam - Fall 2014-Spring 2016 (joined Info Sys Div, VT)
• Ph.D. - Jayanta Kumar Dutta - Spring 2014-Summer 2016 (joined Robert Bosch)
• M.S. - Masoumeh Heidari Kapourchali - Spring 2015-Fall 2016 (pursuing Ph.D. in EECE)

• PI, Detection of unusual objects, actions and events in streaming video surveillance data - City of Memphis, and Fedex Institute of Technology (FIT), University of Memphis - $10,000 - 2016-2017
• PI, Algorithms for unsupervised and online learning of hierarchy of features for tuning cochlear implants for the hearing impaired - National Science Foundation (NSF) - $298,203 - 2013-2016
• Startup company Audigence Inc. (The IP was acquired by Cochlear Limited in March 2012.) - Investor funding - $3,000,000 - 2007-2010
• co-PI, Developing an image-scanning tool to assess body mass index - Fedex Institute of Technology (FIT), University of Memphis - $100,000 - 2013-2015

• Research presentation at the Institute for Intelligent Systems Speed Date, University of Memphis - Bonny Banerjee - 2012-2017 (every spring and fall semesters) -  
• Research presentation at the Computer Science Colloquium, University of Memphis - Bonny Banerjee - Spring 2012 -  
• Research presentation at the Cognitive Science Seminar, University of Memphis - Bonny Banerjee - Spring 2012, Spring 2013, Fall 2015 -  
• Research presentation and demonstration at the Fedex Institute of Technology Expo, University of Memphis - Computational Intelligence Laboratory (Director: Bonny Banerjee) - Fall 2012, Fall 2013, Fall 2015 -  
• Research presentation and demonstration on Engineering-Day, University of Memphis - Computational Intelligence Laboratory (Director: Bonny Banerjee) - 2012-2016 (every fall semester) -  
• Research presentation at the School of Communication Sciences & Disorders Colloquium, University of Memphis - Bonny Banerjee - Spring 2013, Spring 2014 -  
• Research presentation at the University of Memphis/University of Tennessee Joint Biomedical Engineering Seminar - Bonny Banerjee - Spring 2015 -  
• Research presentation at the Dept. of Electrical & Computer Engineering Honors Forum for freshman honors students, University of Memphis - Bonny Banerjee - Fall 2015 -  

• International Joint Conference on Neural Networks, Vancouver, Canada - Session Chair (Supervised Learning II) - July 2016
• International Neural Network Society’s (INNS) Big Data Conference, San Francisco, CA - Special Sessions co-Chair and Organizing Committee Member - August 2015
• NSF Smart and Connected Health Aspiring Investigators Workshop - Mentor - June 2015
• IEEE Symposium Series on Computational Intelligence, Orlando, FL - Session co-Chair (Multimedia, Signal and Vision Processing) - December 2014
• IEEE Transactions on Human-Machine Systems, IEEE - Ad-hoc reviewer -  
• Speech Communication, Elsevier - Ad-hoc reviewer -  
• Computers in Biology and Medicine, Elsevier - Ad-hoc reviewer -  
• Soft Computing Journal, Springer - Ad-hoc reviewer -  
• International Journal of Computer Vision, Springer - Ad-hoc reviewer -  
• AI for Engineering Design, Analysis and Manufacturing (AIEDAM) Journal, Cambridge University Press - Ad-hoc reviewer - 2008
• 30th AAAI Conference on Artificial Intelligence - Ad-hoc reviewer - 2016, 2017
• Annual Meeting of the Cognitive Science Society (CogSci) - Ad-hoc reviewer - 2014, 2016
• National Science Foundation (NSF) - Member, Proposal review panel - 2013, 2014, 2017
• AAAI Fall Symposium on Multi-representational Architectures for Human-Level AI - Member, Organizing Committee - 2009
• Advances of Machine Learning in Theory & Applications: Research Experiences for Undergraduates (AMALTHEA REU) Symposium (sponsored by NSF) - Member, Advisory Board - 2008
• University of Memphis - Member, Culture Study Team of Research Capacity Assessment Taskforce for presenting findings and recommendations to new Provost that will guide future efforts to improve sponsored research performance and enhance the climate for sponsored research on campus - Spring-Summer, 2013
• University of Memphis - Postdoc search committee (chaired by Dr. Chrysanthe Preza) - Summer-Fall 2012
• University of Memphis - Doctoral dissertation committee of Imama Noor (Adviser: Dr. Eddie Jacobs) - Defended on 2/8/13
• University of Memphis - Doctoral dissertation committee of Jakir Hossen (Adviser: Dr. Eddie Jacobs) - Defended on 11/4/15
• University of Memphis - Doctoral dissertation committee of Jayanta K. Dutta (Adviser: Dr. Bonny Banerjee) - Defended on 7/5/16
• University of Memphis - Masters thesis committee of Chandra Sekhar Rao Kolli (Adviser: Dr. Md. Yeasin) - Defended on 7/12/12
• University of Memphis - Masters thesis committee of Ahmad Ridwan Ibn Sarwar (Adviser: Dr. Ling-lp Lin) - Defended on 7/9/13
• University of Memphis - Masters thesis committee of Jayanta K. Dutta (Adviser: Dr. Bonny Banerjee) - Defended on 10/29/13
• University of Memphis - Masters thesis committee of Krishna K. Cherukuri (Adviser: Dr. Russ Deaton) - Defended on 11/26/14
• University of Memphis - Masters thesis committee of Vineesha Manam (Adviser: Dr. Bonny Banerjee) - Defended on 4/6/16
• University of Memphis - Judge, 24th Annual Student Research Forum - Spring 2012
• Tennessee State University and TBR Research Academy - Informal research mentor (by request) to Dr. Martene Fair working on optimal control theory - Spring 2012
• Institute for Electrical & Electronics Engineers (IEEE) - Member - 1997-present
• Association for the Advancement of Artificial Intelligence (AAAI) - Member - 2008-present
• Association for Computing Machinery (ACM) - Member - 2009-present
• International Association of Engineers (IAENG) - Member - 2009-present
• University of Memphis - Member, EECE Technical Area Group - Fall 2011-
• University of Memphis - Member, EECE Graduate Curriculum Committee - Fall 2013-present
• University of Memphis - Member, Herff College of Engineering Research Activities Workflow Team - 2014
• University of Memphis - Member, Institute for Intelligent Systems (IIS) Director Search Committee - 2017

• B. Chandrasekaran, B. Banerjee, U. Kurup, J. R. Josephson and R. Winkler. (2009) "Diagrammatic reasoning in army situation understanding and planning: Architecture for decision support and cognitive modeling", Advanced Decision Architectures for the Warfighter: Foundations and Technology, P. McDermott and L. Allender, Editors, pp. 379-394.
• B. Banerjee and B. Chandrasekaran. (2007) "A constraint satisfaction framework for visual problem solving", Trends in Constraint Programming, F. Benhamou, N. Jussien and B. O’Sullivan, Editors, Hermes Science, Chapter 26.

• S. Najnin and B. Banerjee. (2017) "A predictive coding framework for a developmental agent: Speech motor skill acquisition and speech production", Speech Communication, Elsevier. [accepted]
• J. K. Dutta and B. Banerjee. (2017) "Variation in classification accuracy with number of glimpses", International Joint Conference on Neural Networks, May 14-19, Anchorage, AK.
• A. K. Sadhu, A. Konar, B. Banerjee and A. Nagar. (2017) "Multi-robot cooperative planning by consensus Q-learning", International Joint Conference on Neural Networks, May 14-19, Anchorage, AK.
• R. Lahiri, S. Saha, A. Konar, B. Banerjee and A. Nagar. (2017) "HMM-based gesture recognition system using Kinect sensor for improvised human-computer interaction", International Joint Conference on Neural Networks, May 14-19, Anchorage, AK.
• B. Banerjee, M. H. Kapourchali, S. Najnin, L. L. Mendel, S. Lee, C. Patro and M. Pousson. (2016) "Inferring hearing loss from learned speech kernels", IEEE International Conference on Machine Learning and Applications, December 18-20, Anaheim, CA. [Acceptance rate 24.69%]
• S. Najnin and B. Banerjee. (2016) "Emergence of vocal developmental sequences in a predictive coding model of speech acquisition", INTERSPEECH, September 8-12, San Francisco, CA.
• S. Najnin, B. Banerjee, L. L. Mendel, M. H. Kapourchali, J. K. Dutta, S. Lee, C. Patro and M. Pousson. (2016) "Identifying hearing loss from learned speech kernels", INTERSPEECH, September 8-12, San Francisco, CA.
• S. Saha, R. Lahiri, A. Konar, B. Banerjee and A. Nagar. (2016) "Human skeleton matching for e-learning of dance using a probabilistic neural network", International Joint Conference on Neural Networks, pp. 1754-1761, July 25-29, Vancouver, Canada.
• S. Saha, A. Konar, A. Saha, A. Sadhu, B. Banerjee and A. Nagar. (2016) "EEG based gesture mimicking by an artificial limb using cascade-correlation learning architecture", International Joint Conference on Neural Networks, pp. 4680-4687, July 25-29, Vancouver, Canada.
• A. Panda, S. Ghoshal, A. Konar, B. Banerjee and A. Nagar. (2016) "Static learning particle swarm optimization with enhanced exploration and exploitation using adaptive swarm size", IEEE Congress on Evolutionary Computation, pp. 1869-1876, July 25-29, Vancouver, Canada.
• S. Saha, S. Datta, A. Konar, B. Banerjee and A. Nagar. (2016) "A novel gesture recognition system based on fuzzy logic for healthcare applications", IEEE International Conference on Fuzzy Systems, pp. 634-641, July 25-29, Vancouver, Canada.
• S. Najnin and B. Banerjee. (2016) "Emergence of vocal developmental sequences in speech acquisition using a unified model of perception, action and learning", 15th Neural Computation and Psychology Workshop, August 8-9, Philadelphia, PA.
• M. H. Kapourchali and B. Banerjee. (2016) "Analysis of clustering and sparse coding for feature learning from time-series", 15th Neural Computation and Psychology Workshop, August 8-9, Philadelphia, PA.
• L. L. Mendel, B. Banerjee, C. Patro, S. Lee, M. Pousson, S. Najnin, J. K. Dutta and M. H. Kapourchali. (2016) "Tuning cochlear implants using patients’ speech production errors", XXXIII World Congress of Audiology, September 18-21, Vancouver, Canada.
• J. K. Dutta* and B. Banerjee. (2015) "Online detection of abnormal events using incremental coding length", Twenty-Ninth AAAI Conference on Artificial Intelligence, pp. 3755–3761, January 25-29, Austin, TX. [Acceptance rate 26.7%]
• B. Banerjee, S. Najnin and J. K. Dutta. (2015) "Unraveling the objectives of computations in the peripheral auditory pathway", Conference on Implantable Auditory Prostheses (CIAP), July 12-17, Lake Tahoe, CA.
• S. Najnin, B. Banerjee and L. L. Mendel. (2015) "Inferring hearing loss characteristics from statistically learned speech features", Conference on Implantable Auditory Prostheses (CIAP), July 12-17, Lake Tahoe, CA.
• B. Banerjee, L. L. Mendel, J. K. Dutta, H. Shabani and S. Najnin. (2015) "Identifying hearing deficiencies from statistically learned speech features for personalized tuning of cochlear implants", Twenty-Ninth AAAI Conference on Artificial Intelligence Workshop (Artificial Intelligence Applied to Assistive Technologies and Smart Environments), January 25-29, Austin, TX.
• B. Banerjee, H. Shabani, S. Najnin, L. L. Mendel, C. Patro, S. Lee and M. P. King. (2014) "Machine learning algorithms for tuning cochlear implants from speech production errors", Annual Convention of the American Academy of Audiology — AudiologyNOW!, March 26-29, Orlando, FL.
• J. K. Dutta, B. Banerjee and C. K. Reddy. (2016) "RODS: Rarity based outlier detection in a sparse coding framework", IEEE Transactions on Knowledge and Data Engineering, Vol. 28, Issue 2, pp. 483–495.
• S. Najnin and B. Banerjee. (2015) "Improved speech inversion using general regression neural network", Journal of the Acoustical Society of America, Vol. 138, No. 3, pp. EL229–EL235.
• B. Banerjee and J. K. Dutta. (2014) "SELP: A general-purpose framework for learning the norms from saliencies in spatiotemporal data", Neurocomputing: Special Issue on Brain Inspired Models of Cognitive Memory, Elsevier, Vol. 138, pp. 41-60.
• B. Banerjee and K. G. Dizaji. (2014) "Unsupervised learning of spatial transformations in the absence of temporal continuity", IEEE Symposium Series on Computational Intelligence, December 9-12, 2014, Orlando, FL.
• J. K. Dutta and B. Banerjee. (2014) "Learning features and their transformations from natural videos", IEEE Symposium Series on Computational Intelligence, December 9-12, 2014, Orlando, FL.
• J. K. Dutta, B. Banerjee, R. Ilin and R. Kozma. (2014) "Abnormal event detection in EEG imaging -- Comparing predictive and model-based approaches", IEEE Symposium Series on Computational Intelligence, December 9-12, 2014, Orlando, FL.
• B. Banerjee. (2013) "How can the blind men see the elephant?", AAAI Fall Symposium on How Should Intelligence be Abstracted in AI Research, November 15-17, 2013, Arlington, VA.
• J. K. Dutta and B. Banerjee. (2013) "Learning features and their transformations by spatial and temporal spherical clustering", Computing Research Repository (CoRR) arXiv:cs.NE (Neural and Evolutionary Computing) 1308.2350.
• B. Banerjee and J. K. Dutta. (2013) "A predictive coding framework for learning to predict changes in streaming data", IEEE ICDM 2013 Workshop on Incremental Clustering, Concept Drift and Novelty Detection (IClaNov), December 7-10, 2013, Dallas, TX.
• B. Banerjee and J. K. Dutta. (2013) "An online clustering algorithm that ignores outliers: Application to hierarchical feature learning from sensory data", IEEE ICDM 2013 Workshop on Incremental Clustering, Concept Drift and Novelty Detection (IClaNov), December 7-10, 2013, Dallas, TX.
• B. Banerjee and J. K. Dutta. (2013) "Learning from explanation of prediction errors in streaming data", IEEE BigData 2013 Workshop on Scalable Machine Learning, October 6-9, 2013, Santa Clara, CA.
• B. Banerjee and J. K. Dutta. (2013) "Hierarchical feature learning from sensorial data by spherical clustering", IEEE BigData 2013 Workshop on Scalable Machine Learning, October 6-9, 2013, Santa Clara, CA.
• B. Banerjee, A. Papanicolaou, S. Gao and F. A. Tylavsky. (2013) "Audio features as marker of autism spectrum disorders in children", International Joint Conference on Neural Networks, August 4-9, 2013, Dallas, TX.
• B. Banerjee, A. Papanicolaou, S. Gao and F. A. Tylavsky. (2013) "Can audio features serve as marker of autism spectrum disorders?", 17th International Conference on Cognitive and Neural Systems, June 4-7, 2013, Boston University, MA.
• B. Banerjee, J. Gu and J. K. Dutta. (2013) "Learning to discriminate with generative features", International Joint Conference on Neural Networks, August 4-9, 2013, Dallas, TX.
• B. Banerjee, J. K. Dutta and J. Gu. (2013) "Assigning uniqueness to generative features for discrimination", 17th International Conference on Cognitive and Neural Systems, June 4-7, 2013, Boston University, MA.
• J. K. Dutta and B. Banerjee. (2013) "Learning complex cell receptive field properties by explaining simple cell responses over time", International Joint Conference on Neural Networks, August 4-9, 2013, Dallas, TX.
• J. K. Dutta and B. Banerjee. (2013) "Learning complex cell receptive field properties using a generative model", 17th International Conference on Cognitive and Neural Systems, June 4-7, 2013, Boston University, MA.
• B. Banerjee and B. Chandrasekaran. (2013) "A framework of Voronoi diagram for planning multiple paths in free space", Journal of Experimental & Theoretical Artificial Intelligence, Vol. 25, Issue 4, pp. 457-475, Taylor & Francis.
• B. Banerjee. (2012) "Learning lateral connections among neurons from correlations of their surprises", Center for Visual Science's 28th Symposium: Computational Foundations of Perception and Action, June 1-3, 2012, University of Rochester, NY.
• J. K. Dutta, J. Gu, R. P. Kasani and B. Banerjee. (2012) "A multilayered neural network model for verifying the common cortical algorithm hypothesis", Center for Visual Science's 28th Symposium: Computational Foundations of Perception and Action, June 1-3, 2012, University of Rochester, NY.
• B. Chandrasekaran, B. Banerjee, U. Kurup and O. Lele. (2011) "Augmenting cognitive architectures to support diagrammatic imagination", Topics in Cognitive Science: Special Issue on Modeling Spatial Cognition, G. Gunzelmann, Editor, Cognitive Science Society, Vol. 3, Issue 4, pp. 760-777, October.
• B. Banerjee and B. Chandrasekaran. (2010) "A constraint satisfaction framework for executing perceptions and actions in diagrammatic reasoning", Journal of Artificial Intelligence Research, Vol. 39, pp. 373-427.
• B. Banerjee. (2007) "String tightening as a self-organizing phenomenon", IEEE Transactions on Neural Networks, Vol. 18, No. 5, pp. 1463-1471.
• B. Banerjee. (2006) "A layered abductive inference framework for diagramming group motions", Special Issue of Logic Journal of IGPL: Abduction, Practical Reasoning, and Creative Inferences in Science, L. Magnani, Editor, Vol. 14, No. 2, pp. 363-378, Oxford University Press.
• B. Banerjee. (2004) "Recognition of partially occluded shapes using a neural optimization network", Machine Graphics & Vision, Institute of Computer Science of the Polish Academy of Sciences, Vol. 13, No. 1/2, pp. 3-23.
• B. Banerjee. (2003) "A self-organizing auto-associative network for the generalized physical design of microstrip patches", IEEE Transactions on Antennas & Propagation, Vol. 51, No. 6, pp. 1301-1306.
• B. Banerjee and B. Chandrasekaran. (2010) "A spatial search framework for executing perceptions and actions in diagrammatic reasoning", Diagrams 2010 - 6th Intl. Conf. on the Theory and Application of Diagrams, Portland, OR. Appears in Diagrammatic Representation and Inference, A. K. Goel, M. Jamnik and N. H. Narayanan, Editors, Lecture Notes in Artificial Intelligence 6170, Springer, Heidelberg, pp. 144-159. [Acceptance rate 20%]
• B. Banerjee and B. Chandrasekaran. (2007) "Representations and strategies for solving spatial problems with diagrams", Proc. IEEE Symp. on Visual Languages and Human-Centric Computing (VL/HCC), Coeur d'Alène, ID, pp. 183-188. [Acceptance rate 30%]
• B. Banerjee and B. Chandrasekaran. (2006) "A framework for planning multiple paths in free space", Proc. 25th Army Science Conf, Orlando, FL.
• B. Banerjee and B. Chandrasekaran. (2006) "On automating perceptions and actions in reasoning with military diagrams", Proc. 25th Army Science Conf, Orlando, FL.
• B. Banerjee and B. Chandrasekaran. (2006) "A spatial constraint satisfaction framework for synthesizing perceptions and actions in diagrammatic reasoning", 1st Intl. Workshop on Constraint Programming for Graphical Applications, Nantes, France.
• B. Banerjee and B. Chandrasekaran. (2006) "Synthesizing visual and action routines using constraint programming", Diagrams 2006 - 4th Intl. Conf. on the Theory and Application of Diagrams, Stanford University, CA, June 28-30, 2006. Appears in Diagrammatic Representation and Inference, D. Barker-Plummer, R. Cox and N. Swoboda, Editors, Lecture Notes in Artificial Intelligence 4045, Springer Berlin, pp. 196-198.
• B. Chandrasekaran, U. Kurup and B. Banerjee. (2005) "A diagrammatic reasoning architecture: design, implementation and experiments", AAAI Spring Symp. on Reasoning with Mental and External Diagrams: Computational Modeling and Spatial Assistance, Stanford University, CA.
• B. Chandrasekaran, U. Kurup, B. Banerjee, J. R. Josephson and R. Winkler. (2004) "An architecture for problem solving with diagrams", Diagrams 2004 – 3rd Intl. Conf. on the Theory and Application of Diagrams, University of Cambridge, UK. Appears in Diagrammatic Representation and Inference, A. Blackwell, K. Marriott and A. Shimojima, Editors, Lecture Notes in Artificial Intelligence 2980, Berlin: Springer-Verlag, pp. 151-165. [Acceptance rate 34%]
• B. Banerjee. (2004) "Using abduction for diagramming group motions", MBR’04 - Intl. Conf. on Model-Based Reasoning in Science and Engineering: Abduction, Visualization, and Simulation, University of Pavia, Italy.
• B. Banerjee and B. Chandrasekaran. (2004) "Perceptual and action routines in diagrammatic reasoning for entity-reidentification", Proc. 24th Army Science Conf, Orlando, FL.
• B. Chandrasekaran, U. Kurup and B. Banerjee. (2004) "Representational and inferential requirements for diagrammatic reasoning in the entity-reidentification task", Proc. 24th Army Science Conf, Orlando, FL.
• B. Banerjee and B. Chandrasekaran. (2004) "Constructing diagrams representing group motions", Diagrams 2004 - 3rd Intl. Conf. on the Theory and Application of Diagrams, University of Cambridge, UK. Appears in Diagrammatic Representation and Inference, A. Blackwell, K. Marriott and A. Shimojima, Editors, Lecture Notes in Artificial Intelligence 2980, Berlin: Springer-Verlag, pp. 376-378.
• B. Chandrasekaran, J. R. Josephson, B. Banerjee, U. Kurup and R. Winkler. (2002) "Diagrammatic reasoning in support of situation understanding and planning", Proc. 23rd Army Science Conf, Orlando, FL.
• B. Coifman and B. Banerjee. (2002) "Vehicle reidentification and travel time measurement on freeways using single loop detectors – from freeflow through the onset of congestion", Proc. 7th Intl. Conf. on Applications of Advanced Technology in Transportation, Cambridge, MA.
• B. Banerjee, A. Konar and S. Mukhopadhyay. (2000) "A neuro-GA approach for the navigational planning of a mobile robot", Proc. Intl. Conf. on Communications, Computers and Devices, IIT Kharagpur, India.
• B. Banerjee and I. S. Misra. (2000) "A neuro-computing model for the design of patch antennas", Proc. Intl. Conf. on Communications, Computers and Devices, IIT Kharagpur, India.

• B. Banerjee, "How smart is artificial intelligence?" 1st Annual Taste of Science – Memphis Edition, High Cotton Brewery, Memphis, TN, April 27, 2017.
• B. Banerjee, "From data to perception", General Dynamics Robotic Systems, Pittsburgh, PA, May 2011.
• B. Banerjee, "Spatial problem solving for diagrammatic reasoning", General Electric (GE) Global Research Center, Niskayuna, NY, March 2011.
• B. Banerjee, "Spatial problem solving for diagrammatic reasoning", Dept. of Computer & Information Science, Towson University, MD, February 2011
• B. Banerjee, "Towards a computational architecture for sensory information processing", Adobe Advanced Technology Labs, Bangalore, India, February 2011.
• B. Banerjee, "From data to inference via routines", Opera Solutions Analytic Center of Excellence, San Diego, CA, October 2010.
• B. Banerjee, "An architecture for multi-sensor data fusion", ExxonMobil Research & Engineering, NJ, February 2009.
• Lab for AI Research: Ohio State University, R. Winkler (US ARL) and G. Turner (ArtisTech), "Information fusion and diagrammatic reasoning for ASAS: Technology demonstration", Demonstration at the Collaborative Technology Alliance Conference on Advanced Decision Architecture, Washington DC, May 5-7, 2004.
• B. Banerjee, B. Chandrasekaran and J. R. Josephson, "Constructing diagrams of group motions: Experiments in diagrammatization of army maneuvers", Army Research Laboratory Meeting, Washington DC, Sept. 25-27, 2002.
• B. Chandrasekaran, J. R. Josephson, B. Banerjee and U. Kurup, "Visual inference and diagrammatic reasoning", Army Research Laboratory Meeting, Washington DC, Sept. 25-27, 2002.
• B. Banerjee, "An information extracting self-organizing neural network", IEEE Annual Convention and Exhibition, India, December 2002.

• B. Banerjee and L. S. Krause, "Automatic performance optimization for perceptual devices", U.S. patent no. 8,401,199. Issued March 19, 2013.
• L. S. Krause, M. D. Skowronski and B. Banerjee, "Systems and methods for measuring speech intelligibility”, U.S. patent no. 8,433,568. Issued April 30, 2013.
• B. Banerjee, L. S. Krause, R. Shrivastav and A. E. Holmes, "System and methods of subject classification based on assessed hearing capabilities", U.S. patent no. 9,319,812. Issued April 19, 2016.
• L. S. Krause, R. Shrivastav, B. Banerjee and A. E. Holmes, "System and methods for remotely tuning hearing devices", U.S. patent no. 9,553,984. Issued January 24, 2017.
• B. Banerjee, L. S. Krause, R. Shrivastav and A. E. Holmes, "System and methods for creating reduced test sets used in assessing subject response to stimuli", U.S. patent application no. 12/201,492, March 04, 2010.
• B. Banerjee, L. S. Krause and M. D. Skowronski, "Automatic performance optimization for perceptual devices", International patent application no. PCT/US2009/052633, Feb. 11, 2010.
• B. Banerjee, L. S. Krause, R. Shrivastav and A. E. Holmes, "System and methods for reducing perceptual device optimization time", International patent application no. PCT/US2009/055348, March 04, 2010.
• L. S. Krause, R. Shrivastav, B. Banerjee and A. E. Holmes, "System and methods for remotely tuning hearing devices", International patent application no. PCT/US2010/29020, Oct. 14, 2010.
• L. S. Krause, M. D. Skowronski and B. Banerjee, "Systems and methods for measuring speech intelligibility”, International patent application no. PCT/US2010/029026, Oct. 14, 2010.
• L. S. Krause, B. Banerjee, M. D. Skowronski, R. Shrivastav and A. E. Holmes, "System and methods for tuning automatic speech recognition systems", International patent application no. PCT/US2010/29021, Oct. 14, 2010.
• L. S. Krause, B. Banerjee, M. D. Skowronski, R. Shrivastav and A. E. Holmes, "System and methods for tuning automatic speech recognition systems", U.S. patent application no. 13/761,810, Aug. 29, 2013.