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Dr Seema Shukla

Dr Seema Shukla

Associate Professor, Computer Science & Engineering (CSE)

seema.shukla@sharda.ac.in

About

Dr Seema Shukla  is working as Associate Professor in the Department of Computer Science & Engineering. She has an experience of more than 25 years. She holds a Doctor of Philosophy  from the University of Lucknow, where her thesis focused on computational morphology for Indian languages. Her educational qualifications also include a Master of Technology in Computer Science from Banasthali Vidyapith and a Bachelor of Engineering in Computer Engineering from Pune University. Her  research area is AI and Natural Language Processing and she is  especially interested in language technology in Indian context.  Her research and publications span a range of topics, including IoT, machine learning, natural language processing, and multilingual translation. 
 

Experience
  • 25+ Years
Qualification
  • B.E. (Computer Engineering)
  • M.Tech. (Computer Science)
  • PhD
Award & Recognition

  • IBMs Drona Award for faculty in 2008 and 2009
  • Invited as session chair and publication chair in international conferences
  • Invited to deliver guest paper in ICDL2019

Research

Publication

  • Sangeeta Mangesh, Swati Gangwar, Kunal, Seema Shukla, “Mobile Digital Solution for Road Safety Through ECG Analysis of Drivers Anxiety,” in Data Science and Artificial Intelligence for Digital Healthcare: Communications Technologies for Epidemic Models, Springer International Publishing, 2024, pp. 255–266. Available: https://doi.org/10.1007/978-3-031-56818-3_15 (Scopus Indexed)
  • Seema Shukla, Sangeeta Mangesh, Prachi Chhabra, “KFREAIN: Design of A Kernel-Level Forensic Layer for Improving Real-Time Evidence Analysis Performance in IOT Networks” accepted for publication in EMITTER International Journal of Engineering Technology, Vol. 11 No. 2, January 2024, https://doi.org/10.24003/emitter.v11i2.804 (SCI Indexed)
  • Seema Shukla, Gunjan Ansari, Ashutosh Jaiswal, Kasak Gupta, Paarth Agarwal, V N Shukla, “Framework for Generation of Annotated Corpus for Recognition & Categorization of Geo-Political Entities from Indian Election Domain”, IEEE 6th International Conference on Contemporary Computing and Informatics (IC3I), Amity University, Noida, India, 14-16 Sept. 2023 pp. 633-638, https://doi.org/ 10.1109/IC3I59117.2023.10397648 (Scopus Indexed)
  • Zatin Gupta, Amit Kumar Bindal, Seema Shukla, Isha Chopra, Vidhika Tiwari, and Shipra Srivastava, “Energy Efficient IoT-Sensors Network for Smart Farming”, International Journal on Recent and Innovation Trends in Computing and Communication 11 (5): 255-65. May 2023, https://doi.org/10.17762/ijritcc.v11i5.6612 (Scopus Indexed)
  • Dev Dinesh, Kamal Pandey, Seema Shukla, Vinay Kumar, Harish Chandra Karnatak, “Investigating the Decline in Vegetation Cover of Gautam Buddha Nagar District using GIS and Satellite Remote Sensing Techniques”, Twelfth IEEE International Conference on International Conference on Information Systems and Computer Networks (ISCON 2023), GLA University, Mathura, India, 3-4 March 2023, https://doi.org/10.1109/ISCON57294.2023.10112171 (Scopus Indexed)

Patents / Rest

  • AN IOT AND CLOUD TECHNIQUE TO TRACK AND MONITOR THE WORK AND WELL-BEING OF THE STREET SWEEPERS, Application No - 202311007959, Published on 10/02/2023.
  • DEPRESSION DETECTION DEVICE USING MULTICHANNEL ELECTROENCEPHALOGRAPHY, Application No - 202211074444, Published on 30/12/2022.
  • A MODERN DIGITAL FRAMEWORK FOR CITIES BASED ON BLOCK CHAIN AND FOG COMPUTING TECHNOLOGIES, Application No - 202211073286, Published on 30/12/2022
  • A SYSTEM AND METHOD FOR INSTITUTIONAL ADMINISTRATION ASSESSMENT AND ENHANCEMENT BASED ON DATA MINING TECHNOLOGY, Application No - 202211071291, Published on 30/12/2022

Certifications

  • Introduction to Automata, Languages and Computation, NPTEL, January-April 2021, Elite+Gold (Topper) – 95%.
  • Deep Learning, NPTEL, January-April 2021, Elite+Silver – 75%.
  • Introduction to Soft Computing, NPTEL, January-March 2021, Elite+Silver– 77%.
  • Natural Language Processing, NPTEL, July-October 2019, Elite - 69%.

Area of Interest

  • Natural Language Processing
  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
  • Generative AI