Specialization

Data Mining and Machine Learning

Email

jatin.bedi@thapar.edu

Contact No.

+91-9991015545, 7409176025

Biography

Jatin Bedi is presently working as Assistant Professor in the Department of Computer Science and Engineering, Thapar University. He obtained his B.Tech with distinction from Kurukshetra University, Kurukshetra, India, and M. Tech degree from DCSA, Kurukshetra University, Kurukshetra, India. He received his PhD degree from Indian Institute of Technology Roorkee, Uttarakhand, India in 2020. He has many publications in high impact SCI indexed journals and internationally reputed conferences including SIAM SDM, ICANN, ECML/PKDD, MLDM and many more.

1. Education:

2. Academic experience – institution, rank, title (chair, coordinator, etc. if appropriate), when (ex.1990-1995), full time or part time

• Assistant professor, BITS Pilani, 23:01:2020 to 20:07:2020, FT.
• Assistant Professor, NIT Kurukshetra, 27:07:2015 to 30:06:2016, FT.

3. Non-academic experience – company or entity, title, brief description of position, when (ex. 1993-1999), full time or part time.

• Huawei R and D, Bangalore, 24:07:2020 to 09:02:2021, Industry

4. Honors and awards

• Awarded "2020 Highly Cited Research Paper Award" from Elsevier
• Awarded DAAD Germany scholarship to attend Autumn School for Information Retrieval and Information Foraging (ASIRF), Dagstuhl, Germany, 2019.
• Awarded ACM SIGCHI Scholarship to attend ACM School on User Modelling and Personalization in Urban Computing to be held at Barcelona, Spain, 2019.
• Doctoral Research work accepted in the SIAM SDM 2019 conference, Calgary,
  Canada. [Era Ranking: A, Qualis: A2]
• Awarded Microsoft Travel Grant for presenting my research work in MLDM Conference, Newark, USA
• Awarded full-scholarship to attend and present my work at International Summer School
  on Artificial Intelligence (AI-DLDA), 2019., Udine, Italy
• Received Science and Engineering Research Board International Travel grant for
  presenting my work in SIAM SDM Conference 2018, San Diego, California,

5. Briefly list the most important publications and presentations from the past five years – title, co-authors if any, where published and/or presented, date of publication or presentation

SCI:

1. Jatin Bedi and Durga Toshniwal, "Energy load time-series forecast using decomposition and autoencoder integrated memory network" Applied Soft Computing, vol. 93, pp. 1-14, May 2020. IF: 5.472
2. Jatin Bedi, and Durga Toshniwal. (2020c). A spatio-temporal analysis of electricity demand with climatic conditions. Renewable and Sustainable Energy Reviews, 2021. IF: 12.21
3. Jatin Bedi and Durga Toshniwal, “Deep learning framework to forecast electricity demand,” Applied Energy, vol. 238, pp. 1312–1326, March 2019. IF: 8.448
4. Jatin Bedi and Durga Toshniwal, "Empirical mode decomposition based deep learning for electricity demand forecasting." IEEE Access, vol. 6, pp. 49144-49156, August 2018. IF: 3.745
5. Jatin Bedi and Durga Toshniwal, "Features denoising-based learning for porosity classification,  "Neural Computing and Applications”, pp. 1-14, April 2019. IF: 4.774
6. Jatin Bedi and Durga Toshniwal, "PP-NFR: an improved hybrid learning approach for porosity prediction from seismic attributes using non-linear feature reduction" Journal of Applied Geophysics, vol. 166, pp. 22-32, July 2019. IF: 1.975

Conference Publications:

1. Jatin Bedi, and Durga Toshniwal (2020a). Data Decomposition based Learning for Time Series Forecasting, In Sogood Workshop, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020, (ECML/PKDD) 2020, Ghent, Belgium. [Era Ranking: A, Qualis: A2].
2. Jatin Bedi, and Durga Toshniwal. (2019d). Techniques and Applications of Mining Time Series Data, In Doctoral Forum: SIAM International Conference on Data Mining 2019, (SIAM SDM) 2019, Calgary, Canada. [Era Ranking: A, Qualis: A2].
3. Agarwal, A., Toshniwal, D. and Jatin Bedi (2019). Twitter Data based Deep Learning Technique to Predict Election Results: A Study on 2019 Indian General Election, In Smartcities Workshop, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2019, (ECML/PKDD) 2019, Wurzburg, Germany. [Era Ranking: A, Qualis: A2].
4. Jatin Bedi and Durga Toshniwal, "Spark-based Parallel Framework for Unsupervised Classification of Facies" In International Conference on Machine Learning and Data Mining in Pattern Recognition, pp. 452-467, Springer, Newark, USA, July 2018. [Era Ranking: B]
5. Jatin Bedi and Durga Toshniwal, "SFA-GTM: Seismic Facies Analysis using Generative Topographic Map and RBF", In DMG2 Workshop, SIAM international conference on Data Mining (SIAM SDM), pp. 1-11, California, USA, May 2018. [Era Ranking: A, Qualis: A2]
6. Jatin Bedi and Durga Toshniwal, "Attribute Selection Based on Correlation Analysis." In Advances in Big Data and Cloud Computing, pp. 51-61, Springer, 2018.
7. Jatin Bedi, B. S., Amit Agarwal, & Toshniwal, D. (2018). A Data Mining Approach for Emotions Extraction and Discovering Cricketers Performace from Sensex to Stadium, In Ifup workshop, wsdm 2018: The 11th acm international conference on web search and data mining, (WSDM) 2018, Los Angeles, USA. [Era Ranking: B, Qualis: B1].