Summary
Overview
Work History
Education
Skills
Certification
Projects Lead
Accomplishments
Additional Information
Affiliations
Timeline
Generic
Meenakshi Sumeet Arya, Ph. D.

Meenakshi Sumeet Arya, Ph. D.

Ames,IA

Summary

Experienced researcher with a Ph.D. in Computer Science and Engineering, specializing in Artificial Intelligence, Deep Learning, and Machine Learning. Proven track record of delivering favorable outcomes, fostering collaboration, and driving organizational vision. Excited to apply expertise in corporate and research environments, contributing to architecture design, development, deployment, and infrastructure setup.

Overview

18
18
years of professional experience
15
15
Certification

Work History

Research Scientist

Iowa State University
Ames, IA
01.2023 - Current
  • Conducting in-depth research in the field of Artificial Intelligence (AI) and Machine Learning (ML) for transportation, architecting, designing, and developing innovative models, algorithms, and techniques to address challenges.
  • Analyzing large-scale transportation datasets, including Sensor data, Geographical data, Traffic flow data, and Vehicle trajectory data for Intelligent Transportation Analytics, extracting meaningful insights and patterns to identify risks, and designing solutions for risk mitigation.
  • Developing and implementing advanced algorithms and models to optimize traffic management, enhance transportation infrastructure, and enable intelligent transportation systems.
  • Collaborating with interdisciplinary teams to identify research opportunities, define research objectives, and design experiments using AI and ML approaches to investigate transportation problems.
  • Providing guidance, mentorship, and supervision to research assistants working on AI and ML projects in transportation, supporting their research activities, assisting in experimental design, and fostering their professional growth in a collaborative and inclusive research environment that promotes knowledge sharing and teamwork.

Senior Applied Scientist

accrete.ai
Mumbai, Maharashtra
10.2022 - 12.2022
  • Conducted extensive research and experimentation to develop, refine, and optimize machine learning and deep learning models for handling large voluminous data and complex computations, adopting agile development approach and
  • Collaborated with multidisciplinary teams, including researchers, system architects, software engineers, and stakeholders, provided constructive feedback to improve project outcomes and efficiency.
  • Employed agile methodologies to adapt to changing requirements throughout the development and deployment of solutions improving them based on real-world performance and feedback.
  • Managed project execution and worked closely with Director Research smooth business functioning of the research wing of accrete.ai in India.

Professor of Computer Science

SRM Institute Of Science & Technology
Chennai, Tamil Nadu
06.2019 - 03.2022
  • Spearheaded the development and implementation of the data science and machine learning curriculum design and strategy as the SPOC for NVIDIA Centre of Excellence at SRM University.
  • Provided guidance, mentorship, and technical assistance to a team of data scientists and Machine Learning engineering graduates, fostering their professional development and enabling them to tackle complex data challenges, develop cutting-edge models and algorithms, and deliver impactful data-driven solutions.
  • Established strategic partnerships and collaborations with external organizations, research institutions, and industry leaders to access cutting-edge research, collaborate on joint projects, and leverage external expertise for mutual benefit.
  • Curated the content and delivered high-quality instruction in Artificial Intelligence, implementing innovative teaching methodologies, and providing mentorship to undergraduate and graduate students to foster their growth and understanding of the subject.
  • Collaborated with legal and compliance teams to establish best practices for responsible data handling, including Intellectual Property Rights.
  • Shared insights and expertise through presentations, industry conferences, and publications, contributing to the advancement of the field through thought leadership activities.

Associate Professor and Head of the Department

Various Institutions across India
07.2014 - 05.2019
  • Set clear goals and expectations, assigned responsibilities, and monitored the progress of team members to ensure timely and high-quality deliverables.
  • Promoted professional development by identifying training needs, organizing skill-building activities, and encouraging knowledge sharing among team members.
  • Established and maintained partnerships with external organizations, universities, and research institutions to stay at the forefront of data science advancements and explore collaboration opportunities.
  • Fostered knowledge sharing and collaboration through joint research projects, industry events, and networking initiatives.
  • Identified potential collaboration opportunities and assessed their strategic fit, aligning them with organizational goals and objectives.
  • Provided guidance and training to employees on data privacy and security practices, promoting a culture of awareness and responsibility regarding the handling of sensitive data.
  • Conducted educational sessions and workshops to increase understanding of data privacy and security requirements and promote best practices.
  • Acted as a subject matter expert on data privacy and security matters, providing consultation and guidance to internal teams and senior management on best practices and risk mitigation strategies.

Lecturer, Computer Science

Jaypee University of Information Technology
Solan, Himachal Pradesh
07.2009 - 03.2014
  • Created instructional and lecture plans for classes in compliance with course objectives
  • Utilized diverse teaching methods, lectures, presentations and class activities to deliver curriculum.
  • Secured a grant of $2000 from NVIDIA Pune in 2010 for the project titled "Parallelising DWT using CUDA."
  • Developed a compelling research proposal highlighting the objectives, methodology, and anticipated outcomes of the project.
  • Successfully demonstrated the potential impact and significance of employing CUDA technology for parallelizing the Discrete Wavelet Transform (DWT) algorithm.
  • Acted as the Single Point of Contact (SPOC) for the NVIDIA CUDA lab at the institution.
  • Coordinated various activities and allocated resources to ensure the seamless operation of the CUDA lab.
  • Provided technical support and guidance to faculty and students, enabling them to effectively utilize CUDA technology.
  • Maintained a collaborative relationship with NVIDIA representatives, staying updated on the latest advancements in CUDA technology and its industry applications.

Lecturer, Computer Science

Maharashtra Institute of Technology
Pine, Maharashtra
01.2008 - 05.2009
  • Tailored lectures to meet student needs, emphasizing skills and concepts necessary for professional and academic success.
  • Designed, planned and carried out lesson plans incorporating diverse learning aids and activities.

Education

Ph.D. - Computer Science And Engineering

Jaypee University of Information Technology
Solan, Himachal Pradesh, IN
11.2014

M. Tech. - Computer Engineering

College of Engineering Pune
Pune
06.2010

Post Graduate Diploma in Human Resources Management - Human Resources Management

Symbiosis Centre For Distance Learning
Pune, Maharashtra
06.2008

B. Tech - Computer Science And Technology

SNDT Women's University
Mumbai
06.2003

Skills

  • Programming Languages (Python, C, C)
  • Data Manipulation and Analysis (NumPy, Pandas)
  • Machine Learning Libraries (TensorFlow, scikit-learn, Keras)
  • Data Visualization (Matplotlib, Seaborn)
  • Deep Neural Networks (Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN))
  • Data Management and Visualization (SQL, Tableau, PostGres)
  • Jupyter Notebook
  • Anaconda
  • Git
  • Docker
  • Amazon Web Services (S3, ECR, SageMaker)
  • Google Cloud Platform
  • Predictive Modeling and Forecasting
  • Research and Publication
  • Strategic Visioning
  • Team Leadership and Mentoring
  • Stakeholder Collaboration and Communication
  • Project Management and Execution
  • Collaboration and Partnerships
  • Continuous Learning and Professional Development

Certification

  • "Getting Started with AI on Jetson Nano" by NVIDIA Deep Learning Institute, March 2022.
  • "Building Transformer Based Natural Language Processing Applications" by NVIDIA Deep Learning Institute, Feb 2022.
  • "Machine Learning" by Stanford University on Coursera, June 2021.
  • "Fundamentals of Deep Learning" by NVIDIA Deep Learning Institute, March 2021.
  • "Neural Networks and Deep Learning" by Deep Learning.AI on Coursera, March 2021.
  • "Fundamentals of Deep Learning for Multiple Data Types" by NVIDIA Deep Learning Institute, July 2020.
  • "Fundamentals of Deep Learning for Computer Vision" by NVIDIA Deep Learning Institute, July 2020.
  • "Applied Data Science Capstone" by IBM on Coursera, June 2020.
  • "Machine Learning with Python" by IBM on Coursera, May 2020.
  • "Data Visualization with Python" by IBM on Coursera, April 2020.
  • "Python for Data Science and AI" by IBM on Coursera, April 2020.
  • "Databases and SQL for Data Science" by IBM on Coursera, March 2020.
  • "Data Science Methodology" by IBM on IBM on Coursera, January 2020.
  • "Open Source tools for Data Science" by IBM on Coursera, December 2019.
  • "What is Data Science?" by IBM on Coursera, December 2019.
  • NPTEL certification on "The Joy of Python Computing." , December 2019.
  • "Data Analysis with Python" by IBM on Coursera, November 2019.
  • NPTEL certification on "Fundamental Algorithms: Design and Analysis." December 2019.

Projects Lead

  

  • Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification. (In collaboration with Toyota, USA)
  • A computer vision‐based deep learning model to detect wrong‐way driving using pan–tilt–zoom traffic cameras. (In collaboration with Department of Transportation, Iowa)
  • Analyzing the impact of Mild Cognitive Impairment and Dementia/ Incipient Alzheimer’s Disease on Naturalistic Driving Behavior. (In collaboration with University of Nebraska Medical centre).
  • Deep Learning model for Farm Vehicle following Behavior Detection.
  • Smart table extraction using Deep learning-based computer vision and text recognition models. (accrete.ai)
  • Automated Seven-Level Skin Cancer Staging Diagnosis in Dermoscopic images using Deep Learning. (SRM Institute of Science and Technology)

Accomplishments

  • Received Grant of $2000 from NVIDIA Pune in 2010 for Project titled “Parallelising DWT using CUDA.”
  • Received Hardware grant worth Rs 13 Lakhs for setting up NVIDIA Jetson Nano Lab at SRMIST from NVIDIA in 2021-22.
  • Received Hardware grant worth Rs 10 Lakhs for setting up NVIDIA Jetson Nano Lab at MIT World Peace University from NVIDIA in 2022-23.
  • Winner for the IFERP Innovative Project Seed Funding Scheme for the project “Diabetes Mellitus Prediction, Type Classification and Probability detection using Machine Learning Concepts and Techniques.”
  • Second runner-up Newzealand-India Sustainability Challenge (2017) for the project titled "Green Computing" in collaboration with University of Otago, Newzealand.
  • Top Instructor in NVIDIA DLI for 2021-22
  • Evaluator for the Toycathon-2021 Grand Finale Ministry of Education’s Innovation Cell and AICTE.
  • “Preliminary Lung Cancer Detection using Deep Neural Networks,” International E-Conference on Advances in Information Technology and Research, ICAITR-2021, best paper award.
  • Dynamic Time Warping Based Technique for Predictive Analysis of Stock Market, 8th International Conference on Recent Trends in Computing (ICRTC 2020), best paper award.

Additional Information

  • Hidden Owner Identity Mechanism for File Storage Server (No. 201921003302), Indian Patent office dated 8th Feb. 2019 (Patent Published)
  • Robust Biometric Watermarking for Copyright Protection of Digital Image Data (No. 201911032862), Indian Patent Office (Patent Published)
  • Machine Learning Algorithms for Diabetes Disease Prediction (L-119507/2022), Copyright Office, Govt. Of India (Copyright Received)
  • Unleashing the Power of Deep Learning for All Research Domains (L-112804/2022), Copyright Office, Govt. Of India (Copyright Received)
  • Exploring the World of Google Classroom (L-100350/2021), Copyright Office, Govt. Of India (Copyright Received)
  • Cyber Safety Evam Social Networking Suraksha (L-98602/2021), Copyright Office, Govt. Of India (Copyright Received)
  • Character Building Skills (L-87067/2019), Copyright Office, Govt. Of India (Copyright Received)
  • How Data can Make You Rich Dad (L-99384/2021), Copyright Office, Govt. of India (Copyright Received)

Affiliations

  • Arya, M. S., et. al (2023). Automated Seven-Level Skin Cancer Staging Diagnosis in Dermoscopic images using Deep Learning. In Machine Learning and Artificial Intelligence in Healthcare Systems (pp. 93-109). CRC Press.
  • Arya, M. S., et. al. (2022). Diabetes Mellitus Disease Prediction and Type Classification Involving Predictive Modeling Using Machine Learning Techniques and Classifiers. Applied Computational Intelligence and Soft Computing, 2022.
  • Arya, M. S. et. al (2022). A Review of the Applications and Future Scope of Artificial Intelligence in Smart Transport. ICT Infrastructure and Computing: Proceedings of ICT4SD 2022, 97-103.
  • Arya, M. S., et. al. (2022). Skin lesion classification and Prediction by Data Augmentation in HAM10000 and ISIC 2019 dataset.
  • Arya, M. S., et. al. (2022). Diabetes Mellitus Disease Prediction Using Machine Learning Classifiers and Techniques Using the Concept of Data Augmentation and Sampling. In ICT Systems and Sustainability: Proceedings of ICT4SD 2022 (pp. 401-413). Singapore: Springer Nature Singapore.
  • Arya, M. S. et. al. (2022). Blockchain-Sidechain Based Data Storage for Reimaging Electronic Health Record Via Optimized Interplanetary File System. In INFORMATION and communication technology for competitive STRATEGIES ictcs 2020 (1st ed., Vol. 1, Ser. 2367-3370, pp. 1097–1110). SPRINGER.
  • Arya, M. S., et. al.(2022). Diabetes Mellitus Disease Prediction Using Machine Learning Classifiers with Oversampling and Feature Augmentation. Advances in Human-Computer Interaction.
  • Arya, M. S., et. al. (2022). Performance Analysis of Type-2 Diabetes Mellitus Prediction Using Machine Learning Algorithms: A Survey. In: Jacob, I.J., Kolandapalayam Shanmugam, S., Bestak, R. (eds) Expert Clouds and Applications. Lecture Notes in Networks and Systems, vol 444. Springer, Singapore.
  • Arya, M. S., et. al. (2022). Prediction of Type-2 Diabetes Mellitus Disease Using Machine Learning Classifiers and Techniques. Frontiers in Computer Science, 4.
  • Arya, M. S., et. al. (2022, March). Impact of Data Augmentation on Skin Lesion Classification Using Deep Learning. In 2022 5th International Conference on Information and Computer Technologies (ICICT) (pp. 67-72). IEEE.
  • Arya, M. S., et. al. (2022). Blockchain-Sidechain Based Data Storage for Reimaging Electronic Health Record via Optimized Interplanetary File System. In Information and Communication Technology for Competitive Strategies (ICTCS 2020) ICT: Applications and Social Interfaces (pp. 1097-1110). Springer Singapore.
  • Arya, M. S., et. al. (2021). An LSTM-Based Fake News Detection System Using Word Embeddings-Based Feature Extraction. ICT analysis and APPLICATIONS: Proceedings OF Ict4sd 2021, Volume 2 (1st ed., Vol. 154, Ser. 2367-3370, pp. 247–255). SPRINGER VERLAG, SINGAPORE.
  • Arya, M. S., et. al. Dynamic Time Warping-Based Technique for Predictive Analysis in Stock Market. In Proceedings of 6th International Conference on Recent Trends in Computing: ICRTC 2020 (p. 23). Springer Nature.
  • Arya, M. S., et. al. (2021). Prediction of Type-2 Diabetes using the LGBM Classifier Methods and Techniques. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(12), 223-231.
  • Arya, M. S., et. al. (2021). LGBM classifier-based technique for predicting type-2 diabetes. European Journal of Molecular & Clinical Medicine, 8(3), 454-467.
  • Arya, M. S., et. al. (2020). Prediction of Network Attacks Using Connection Behavior. In Machine Learning for Predictive Analysis (pp. 299-312). Springer, Singapore.
  • Arya, M. S., et. al. “A Green Computing Technique for Reducing Energy Consumption for Desktops Using Proxy Downloading,” Advances in Intelligent Systems and Computing, Information and Communication Technology for Sustainable Development., vol 933, pp: 823-831, 2020.
  • Arya, M. S., et. al. (2023). Automated Seven-Level Skin Cancer Staging Diagnosis in Dermoscopic images using Deep Learning. In Machine Learning and Artificial Intelligence in Healthcare Systems (1st ed., pp. 93–109). essay, Taylor and Francis.
  • Arya, M. S., et. al. (2021). Deep Neural Networks for Recommender Systems. In Data Science and Its Applications (pp. 191-203). Chapman and Hall/CRC.
  • Arya, M. S., et. al. (2021) Prediction to Service Delivery: AI in Action. In: Santosh K., Joshi A. (eds) COVID-19: Prediction, Decision-Making, and its Impacts. Lecture Notes on Data Engineering and Communications Technologies, vol 60. Springer, Singapore.
  • Arya, M. S., et. al. (2021). Fractional Choice-Based Credit System: A Learner-Centric Approach. In Sinha, G. R. (Ed.), Assessment Tools for Mapping Learning Outcomes With Learning Objectives (pp. 167-197). IGI Global.
  • Arya, M. S., et. al. (2021). Buddy Pair Approach as a Tool to Assess the Efficacy of Outcome-Based Education. In Sinha, G. R. (Ed.), Assessment Tools for Mapping Learning Outcomes With Learning Objectives (pp. 255-275). IGI Global.
  • Arya, M. S., et. al. (2020). Management Decision-Making Tools (1st ed., Vol. 1, Ser. 1) Hyderabad, India: Mahatma Gandhi National Council of Rural Education (MGNCRE). Retrieved September 28, 2020.

Timeline

Research Scientist

Iowa State University
01.2023 - Current

Senior Applied Scientist

accrete.ai
10.2022 - 12.2022

Professor of Computer Science

SRM Institute Of Science & Technology
06.2019 - 03.2022

Associate Professor and Head of the Department

Various Institutions across India
07.2014 - 05.2019

Lecturer, Computer Science

Jaypee University of Information Technology
07.2009 - 03.2014

Lecturer, Computer Science

Maharashtra Institute of Technology
01.2008 - 05.2009

Ph.D. - Computer Science And Engineering

Jaypee University of Information Technology

M. Tech. - Computer Engineering

College of Engineering Pune

Post Graduate Diploma in Human Resources Management - Human Resources Management

Symbiosis Centre For Distance Learning

B. Tech - Computer Science And Technology

SNDT Women's University

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Meenakshi Sumeet Arya, Ph. D.