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Jitendra Singh

Jitendra Singh

Assistant Professor , Computer Science & Engineering (CSE)

jitendra.singh6@sharda.ac.in

About

Jitendra Singh is an Assistant Professor in the Department of Computer Science & Engineering at Sharda University, Greater Noida, where he has served since July 2024. He is currently pursuing his Ph.D. in Computer Science & Engineering from Lovely Professional University, and holds an M.Tech in Software Engineering and a B.Tech in Information Technology, both from Dr. APJ Abdul Kalam Technical University (AKTU). With 16 years of experience spanning academia, industry, and research, he has worked as an Assistant Professor at G L Bajaj Institute of Technology & Management, as an Assistant Professor and Data Scientist at Wachemo University, Ethiopia, and as an Assistant Professor at Shri Ram Murti Smarak College of Engineering & Technology, Bareilly. His research interests include Data Science, Machine Learning, Deep Learning, Natural Language Processing, and Time-Series Forecasting, with recent work on sentiment and thought classification, predictive analytics, and AI-driven applications. He has authored 11 publications indexed in Scopus, including journal articles, conference papers, and book chapters, and holds a design patent for a Cloud-Based Financial Data Management Device. He has been recognized with a Best Paper Award at an IEEE conference in Shimla (2012) and a Best Teacher Award (2016), and has served as Session Chair at an IEEE conference in Gorakhpur (2025).

Experience

Total Years of Experience: 16 years (India and abroad)

Institutions Worked At:

  1. SRMS CETR, Bareilly, UP, India (2009–2017)
  2. Wachemo University, Hossaena, Ethiopia, North Africa (2017–2022)
  3. GL Bajaj ITM, Greater Noida, UP, India (2022–2024)
  4. Sharda University, Greater Noida, UP, India (2024–present)

Courses Taught:

  • Core Subjects: Data Structures, Design and Analysis of Algorithms, DBMS, Android Applications Development
  • Specialized Subjects: Machine Learning, Deep Learning
     

Administrative Responsibilities

  • Departmental Time Table Coordinator

Technical Skills

  • Expertise in Python and Java
  • Certified in "Python for Data Science Professional" (Edureka, Grade A)
    • Implemented 33 case studies and 3 projects: Social Media, Food Supply among Countries, and Pharmacy Industry

Workshops and FDPs

  • Conducted workshops on Python and Android
  • Attended numerous Faculty Development Programs (FDPs)

 

 

Qualification
  • B.Tech - Information Technology (AKTU)
  • M.Tech - Software Engineering (AKTU)

PhD - CSE, Lovely Professional University (Pursuing)

Award & Recognition

  • Best Paper Award – IEEE Conference, Shimla, 2012
  • Best Teacher Award – 2016
  • Session Chair – IEEE Conference, G.L. BAJAJ, Greater Noida, 2023
  • Session Chair – IEEE Conference, MMUT Gorakhpur, 2025

Research

  • Singh, J., “Towards Human Thought Classification: A Sentiment Analysis Framework using Active and Deep Learning,” Soft Computing (preprint), 2026, doi: 10.21203/rs.3.rs-7563360/v1.
  • Singh, J., “Comparative Evaluation of Blockchain-Fog Vs Cloud-Based Models for Real-Time Health Monitoring,” in 2026 2nd International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI), IEEE, 2026, doi: 10.1109/ic3ecsbhi67834.2026.11468888.
  • Singh, J., “AI-Powered Resume and Job Description Matcher: A Semantic Similarity Approach Using SBERT and Contrastive Fine-Tuning,” in 2026 International Conference on Smart Futuristic Technology (ICSFT), IEEE, 2026, doi: 10.1109/icsft66733.2026.11507545.
  • Singh, J., “From Public Sentiment to Practical Solution: A Multifunctional Android Application for GST Awareness and Compliance in India,” in 2025 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN), IEEE, 2025, doi: 10.1109/emergin67762.2025.11450838.
  • Singh, J., “Machine Learning-Based Image Analysis for Cotton Crop Health: A Comparative Study,” in 2025 2nd International Conference on Multidisciplinary Research and Innovations in Engineering (MRIE), 2025, doi: 10.1109/MRIE66930.2025.11156686.
  • 11 publications indexed in Scopus

Design Patent (Registered) – “Cloud Based Financial Data Management Device”, Design No. 459639-001, The Patent Office, Government of India, 2025 (co-inventors: Dr. Sunil Kumar, Dr. Aparajita Dixit, Dr. Balambigai S, Jitendra Singh, Saswata Das).

Certifications

  • Certification Course on “Python for Data Science Professional” (Grade A), Edureka
  • Associate Developer Educator Training, Blue Prism Academia Program (Robotic Process Automation) – 10-day program, completed 5th September 2023

Area of Interest

  • Data Science / Predictive Analytics
  • Machine Learning / Deep Learning
  • NLP / Sentiment Analysis