Publications 

Google Scholar

Last update: JAN 2024

• Mishra, A., Gangisetti, G., Khazanchi, D. (2024). An Investigation into the Advancements of Edge-AI Capabilities for Structural Health Monitoring, IEEE ACCESS (peer reviewed)  

• Mishra, A., Gangisetti, G., Eftekhar Azam, Y., & Khazanchi, D. (2024). Weakly supervised crack segmentation using crack attention networks on concrete structures. Structural Health Monitoring, 14759217241228150. (peer reviewed) 

• Mishra, A., Khazanchi, D. (2023). Assessing Perceived Fairness in Machine Learning (ML) Process: A Conceptual Framework, NeurIPS workshop on Algorithmic Fairness through the Lens of Time, New Orleans

• Mishra, A., Khazanchi, D., (2023). Assessing Perceived Fairness from Machine Learning Developer's Perspective arXiv preprint arXiv: 2304.03745. 

• Mishra, A., Gangisetti, G., Khazanchi, D., (2023). Integrating Edge-AI in Structural Health Monitoring Domain arXiv preprint arXiv: 2304.03718 

• Mishra, A., Khazanchi, D., Tripathi, A. (2022). A Proposal for Research on the Application of AI/ML in ITPM: Intelligent Project Management, International Journal of Information Technology Project Management (IJITPM) (peer reviewed) 

• Soumik Sinha, Sayandeep Saha, Manaar Alam, Ayantika Chatterjee, Anoop Mishra, Deepak Khazanchi and Debdeep Mukhopadhyay "Exploring Bitslicing Architectures for Enabling FHE-assisted Machine Learning," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022, doi: 10.1109/TCAD.2022.3204909. (peer reviewed) 

• Soumik Sinha, Sayandeep Saha, Manaar Alam, Ayantika Chatterjee, Anoop Mishra, Deepak Khazanchi and Debdeep Mukhopadhyay, Exploring Bitslicing Architectures for Enabling FHE-assisted Machine Learning, Accepted at CASES: International Conference on Compilers, Architectures, and Synthesis for Embedded Systems, Embedded Systems Week, OCTOBER 07-14, 2022, HYBRID-SHANGHAI 

• Mishra,A.(2022). Perceived Fairness from User's and Developer's Perspective in Machine Learning Systems. The 18th Annual Big XII + MIS Research Symposium, Houston  

• Mishra,A., Tripathi, A., & Khazanchi, D. (2021). A framework for applying artificial intelligence (AI) with Internet of nano things(IoNT). Machine Learning for Sustainable Development,9,1. (peer reviewed) 

• Mishra, A., Khazanchi, D., & Tripathi, A. (2021). Introduction to the Minitrack on Internet of Nano Things (IoNT). In Proceedings of the 54th Hawaii International Conference on System Sciences (p. 4577). 

• Mishra,A., Siy,H. (2020, October). An interdisciplinary approach for teaching artificial intelligence to computer science students. The 21st Annual Conference on Information Technology Education (SIGITE’20) 

• Mishra, A., Anderson, D., Belcher, S., & Khazanchi, D. (2020). Evaluating visual search in glaucoma using deep learning. In 26th Americas Conference on Information Systems, AMCIS 2020. Association for Information Systems. 

• Dasgupta, P., Mishra, A., Nelson, C., Burnfield, J. (2019) “Towards Intelligent Semi-Autonomous Control of a Modular Robot for Human Mobility Assistance,” 2019 Do Good Robotics Symposium (DGRS'19), October 3-4, 2019, College Park, MD. 

• Mishra, A. (2019). Intelligent Human-aware Decision Making for Semi-autonomous Human Rehabilitation Assistance Using Modular Robots (Link: Master’s dissertation, University of Nebraska at Omaha).

   PRESENTATIONS/POSTERS 

• Mishra, A., Gangisetty, G., & Khazanchi, D. (2023). CEAIC: Cloud-Edge Adaptive Intelligence For Concrete Crack Detection and Quantification, Bridging Big Data Workshop 2023 (Poster & Presentation)

• Khazanchi, D., & Mishra, A., Trustworthy Edge-AI, Partnership 2020: Cybersecurity consortium, Indo-US Partnership Symposium, New Delhi 2022 (Poster & Presentation) 

• Mishra, A., & Khazanchi, D. (2021). CaNet- Cracks Attention Network: Cracks detection using weak labels. Midwest Big Data Hub 2021. (Presentation) 

• Khazanchi, D., & Mishra, A. (2021). Managing Bridge Infrastructure Health Using AI/ML. In Complex Adaptive Systems, CAS 2021, June 18, 2021 (Keynote presentation) 

• Mishra, A., & Khazanchi, D. (2021). The-Internet-Of-Nano-Things., Student Research and Creative Activity Fair, University of Nebraska at Omaha, 2021 (Presentation)  

• Mishra, A., Lee, Ji., Prasad, H., Sim, C., & Khazanchi, D. (2020). Recognition on Steel Bridge Members using Onboard Hardware Acceleration. Bridge Big Data (BBD) Workshop 2020. (Poster)

• Mishra,A., Belcher,S., Anderson,D., Khazanchi,D.(2020) “Artificial Intelligence Techniques for Evaluating Visual Search Performance in Glaucoma Patients,” Artificial Intelligence for Good Symposium (AI for Good 2020), Carnegie Mellon University, Pittsburgh, 2020  Presentation Link

• Mishra, A, Belcher, S.(2020). Evaluating Visual Search Performance in Glaucoma Patients Using Artificial Intelligence, Student Research and Creativity Fair, Office of Creative and Research Activity, University of Nebraska at Omaha, 2020 (Presentation) 

• Mishra, A, (2020). Popularity analysis in political election scenario by sentiment classification of polarizing topics on Twitter, Student Research and Creativity Fair, Office of Creative and Research Activity, University of Nebraska at Omaha, 2020(Poster) 

• Mishra, A, Dasgupta, P., Intelligent & Human-Aware Decision Making for Semi-Autonomous Human Rehabilitation Assistance using Modular Robots, Nebraska Academy of sciences & NASA Nebraska space grant 2018(Poster) [Conference program link]

• Mishra, A, Dasgupta, P., Intelligent & Human-Aware Decision Making for Semi-Autonomous Human Rehabilitation Assistance using Modular Robots, Student Research and Creativity Fair, Office of Creative and Research Activity, University of Nebraska at Omaha, 2018(Presentation) (Link)

• Mishra, A, "Intelligent and Human-Aware Decision Making for Semi-Autonomous Human Rehabilitation Assistance using Modular Robots", CS Workshop 2018, The University of Nebraska at Omaha  (Link)

     Working Papers

• Mishra, A., Vijayvargiya, I., Gangisetti, G., & Khazanchi, D. (2024). Responsible AI Framework in Structural Health Monitoring

Services

       CodeCrush Volunteer 2020, 2021, 2022, 2023: Together with coordinators, I help to organize immersive iSTEM 

      experiences for 8th and 9th-grade female students and their teachers. CodeCrush, launched by Dr. Deepak Khazanchi in 2014,

      is a powerful community-driven force committed to closing the gender gap in the IT workforce. 

      (Link- https://codecrush.unomaha.edu/landingpage)

Mini Track Chairs:

• AMCIS 2023: "Emerging Technologies and Project Management";

• HICSS 2022: Internet of Nano Things;

• HICSS 2021: Internet of Nano Things;

• AMCIS 2021: "Emerging Technologies and IT Project Management"

Conference Reviewer:

• NeurIPS 2023,

• AAAI ICWSM 2023,

• ISCRAM 2023,

• ACM CHI 2022,

• NeurIPS AFCP 2022,

• ACM GLSVLSI 2022,

• HICSS 2021,

• Design Automation Conference  2021,  

• Complex Adaptive Systems  2021,  

• AIS AMCIS 2021,

• ACM SIGITE 2020,

• AIS AMCIS 2020,

• ACM GLSVLSI 2020, 

• ICIS ITPM track 2020

Journal Reviews:

• Journal of Big Data 2021,

• Journal of Midwest Association of Information Systems (JMAIS) 2021,

• International Journal of Data Mining, Modeling and Management(IJDMMM) 2020

Session facilitator and volunteer for

• ACM FaccT 2022,

• MWAIS 2022,

• AMCIS 2021 (IT Project Management),

• ACM SIGITE 2020,

• Volunteer UAV based Intelligent  Transportation  workshop,  organized  by  The  University of Nebraska collaborations, Spring 2018

Teaching Services

• Teaching Assistant for HONR3030-099: Honors Colloquium Digital Human Rights in the Age of AI at College of IS&T, UN Omaha, Spring 2024 session. 

• Responsible AI Workshop, Lead instructor, VISITOmaha Guests: As an instructor, delivered a comprehensive overview of Artificial Intelligence and Machine Learning, with a focus on interactive experience with AI/ML models, LLMs (including ChatGPT), and a discussion of responsible AI systems. The curriculum was designed to provide a foundational understanding of the fundamental concepts and practical applications of AI/ML including the importance of ethical considerations and the need for transparency in AI decision-making processes.

• Machine learning workshop, Lead instructor, Farms Credit Services of America, ODL Team (non-IT guests): As an instructor, delivered an overview of Artificial Intelligence and Machine Learning, with a focus on interactive experience with AI/ML models.

• Course content designer of AI and Machine learning for After-school i-STEM education for Omaha public schools, Target audience: Middle School Kids, Organizer: CMIT, College of Information, Science & Technology, University of Nebraska at Omaha, Fall 2020

• Lead Instructor and Course Content Creator at CodeCrush  2020, 2021, 2022, 2023: Target audience: 8th and 9th grade female students and teachers from public schools in Omaha. The objective is to educate students and school teachers about AI/ML design and development.

• Course content designer for Zero-Robotics as i-STEM education for Omaha Schools, Target audience: Middle School Kids, Organizer: College of Information, Science & Technology, University of Nebraska at Omaha, Fall 2020

• Lead Instructor & Course content designer for Artificial Intelligence & Machine Learning in Techademy Summer School, Target audience: High School Kids, Organizer: College of Information, Science & Technology, University of Nebraska at Omaha for Summer 2020, Summer 2021

• Assistant instructor, Techademy robotics summer classes for 3rd, 4th, and 5th-grade students; Organizer: College of Information, Science & Technology, University of Nebraska at Omaha for Summer 2019 

• Instructor, School Robotics workshops, Instructed –6th, 7th, 8th-grade students in Omaha, Feb 2019 & March 2019 

• Assistant instructor, IT Professional Development Academy workshop on deep learning, Organizer: University of Nebraska at Omaha; Target audience- data scientists, managers, directors from IT-industry in Omaha, Fall 2018