Part-Time Positions at RGU

  • Demonstrator, RGU, UK (January 2020 - Present)
    • Demonstration for BSc (Computer Science) students.
    • Subject: Concurrent Programming with Java (Spring 2020 Semester).
  • Research Assistant (February 2020 - April 2020)
    • Case-based approach to automated generation of obituaries.
    • Paper published in ICCBR-2020.

Publications

  1. Ashish Upadhyay, Stewart Massie, Sean Clogher, “Case-Based Approach to Automated Natural Language Generation for Obituaries”, International Conference on Case-Based Reasoning 2020 (08-12 June 2020, Online).

  2. Ashish Upadhyay, Thanh Nguyen, Stewart Massie, John McCall, “WEC: Weighted Ensemble of text Classifiers”, IEEE Congress on Computational Intelligence 2020 (19-24 July 2020, Online).

  3. Ashish Upadhyay, Bhupendra Sonwani, Vimal Anand Baghel, Yash Kirti Sinha, A S Patel, and M Ojha, “Pronunciation Similarity Matching using Deep Learning”, International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications 2020 (28-29 March 2020, Online).

  4. Ashish Upadhyay, Kushashwa Ravi Shrimali, and Anupam Shukla. “UAV-robot relationship for coordination of robots on a collision free path.” Procedia Computer Science 133 (2018): 424-431. (DOI)

  5. Tripathi, Shrivishal, Ashish Upadhyay, Shashank Kotyan, and Sandeep Yadav. “Analysis and Comparison of Different Fuzzy Inference Systems Used in Decision Making for Secondary Users in Cognitive Radio Network.” Wireless Personal Communications 104, no. 3 (2019): 1175-1208. (DOI)

Past Research Internships

  1. NLP/ML Research Intern, RGU, UK (December 2018 - June 2019)
    • Information Extraction and Requirement Mapping from Regulatory Documents.
    • Guide: Dr. Stewart Massie, Senior Research Fellow, RGU, Aberdeen, UK
      • Classifying compliance requirements and mapping them to different taxonomies of people and equipment.
      • Successfully classified highly imbalanced text datasets with high macro-F1 score.
      • Model being used in production by the company.
        • Outcome: Offer for a PhD scholarship.
  2. Deep Learning Intern, NIC-Chattisgarh, India (August 2018 - December 2018)
    • Pronunciation Similarity Matching using Deep Learning.
    • Guide: Dr. Muneendra Ojha, Assistant Professor, IIIT-Naya Raipur, Chhattisgarh, India
      • Developed a Client-server model for pronunciation matching.
      • Extracted the MFCC features from speech to train a CNN model in Keras.
      • Model to be used by school students of Chhattisgarh.
        • Outcome: Paper accepted at ICMISC 2020, Hyderabad.
  3. Machine Learning Research Intern, RGU, UK (May 2018 - July 2018)
    • Machine Learning and Optimization in Supply-Chain Management.
    • Guide: Prof. John McCall, Head of CSDM School, RGU, Aberdeen, UK
      • Automated the task of creating jobs of picking items from different places in Scotland and minimizing the number of trucks used.
      • Developed an API using Flask and Vue.js.
        • Outcome: Offer for a six months internship during final semester.
  4. AI Research Intern, IIITM, Gwalior, India (December 2017)
    • UAV-Robot Relationship for Coordination of Robots on a Collision Free Path.
    • Guide: Prof. Anupam Shukla, Professor ICT Department, IIITM Gwalior, MP, India
      • Developed an algorithm using A* & Probabilistic Road Map for the coordination of multiple robots on a collision free path using an UAV.

Technical Skills

  • Programming Language: Python, R, Java, JavaScript, C/C++, SQL
  • Tools: LaTeX, Git, MATLAB, Jupyter
  • Deep Learning Frameworks: PyTorch, Keras, Tensorflow
  • NLP Libraries: SpaCy, NLTK, StanfordNLP, Stanza
  • Data Science Libraries: Scikit-Learn, SciPy, NumPy, Matplotlib, PySwarms
  • Development Frameworks: Flask, React.js, PostgreSQL, SQLAlchemy

Non-Academic Interests and Achievements

During my Bachelor studies, I was involved into a lot of event organising, to name a few: Connaissance 2016 (Litrature-cum-Cultural Fest, IIIT-NR), Technovate 2018 (Techno-Cultural Fest, IIIT-NR), Industry-Academia Meet, 2017 (IIIT-NR). Before 3rd year of my BTech degree, I also used to participate in a lot of Youth Parliaments where once I won the best delegate award as well. I charied a few debates as moderator and speaker (more about them in my old CV).