Vikas Jain, Ph.D., IIIT Vadodara

I am passionate about teaching and research. At present, I am working as Assistant Professor at Bennett University. My research interest is machine learning, and pattern recognition.

Academic Qualification:

Ph.D. (2022) - IIIT Vadodara, Gandhinagar, Gujarat, Thesis Title: Novel Approaches to Improve Random Forest for Classification and Regression

M.Tech.(2011) - DA-IICT, Gandhinagar, Thesis Title: Mobility Models and Its Applications in Ad-hoc Network

B.E. (2009)- LNCT, Bhopal (Specialization: Computer Science & Engineering)

Teaching Experience:

Asst. Professor at Bennett University from Aug. 2022 to till date.
Asst. Professor at NMIMS, Indore from Aug 2021 to July 2022.
Asst. Professor from August 2011 to July 2016 at CIST, Bhopal.
Undergraduate and postgraduate Teaching Assistant from August 2016-July 2021 at IIIT, Vadodara.
Undergraduate Teaching Assistant from August 2009 to June 2011 at DA-IICT, Gandhinagar.

Workshops Attended:

Five days Workshop on Machine Learning for Medical Image Analysis (WMLMIA 2017), conducted at IIT, Mandi, Himanchal Pradesh.
Two days workshop on New Trends in Signal Processing (NeTSiP 2016), conducted by IEEE Gujarat section at SVNIT Surat, Gujarat.
Five days Faculty Development Program on Artificial Intelligence, 2019, from December 02, 2019 to December 06, 2019, conducted by IIIT Vadodara, and sponsored by AICTE Training and Learning (ATAL) Academy.

Professional Training Provided:

Conduct the hands on session on Decision Tree and Random Forest for Classification of Medical Image in Five days Faculty Development Program on Data Science, December-2020, conducted by IIIT Vadodara, and sponsored by AICTE Training and Learning (ATAL) Academy.
Conduct the hands on session on Classification using Random Forest in Five days Faculty Development Program on Artificial Intelligence, May-2020, conducted by IIIT Vadodara, and sponsored by AICTE Training and Learning (ATAL) Academy.
Conduct the hands on session on Image Classification using Random Forest in Workshop on Advanced Image Processing Research (AIPR) Nov-2020, organized by Manipal University, Jaipur.
Conduct the hands on session on Random Forest for Machine Learning and Computer Vision in faculty development program on Deep Learning, Machine Learning and Pattern Recognition, organized by Sarvajanik College of Engineering & Technology (SCET) November-2019.
Conduct the hands on session on Image Classification using Decision Tree and Random Forest in faculty development program on Advanced Image Processing, organized by CHARUSAT-Changa 2019.

Membership:

IEEE Student Member from 2017-2022.
IEEE Professional Member since 2022.

Achievements:

Cleared GATE in 2009 with ALL INDIA Rank 775.
Cleared GATE in 2016 with ALL INDIA Rank 5763.
Received Travel Grant of $698.00 for the paper "Exponential Weighted Random Forest for Hyperspectral Image Classification", from GRSS to present conference paper in IGARSS 2019, held at Yokohama, Japan.
Received the financial support of Rs. 20000.00 from the IEEE gujarat section to present our research work titled,"Exponential Weighted Random Forest for Hyperspectral Image Classification".

Reviewer:

IEEE Transactions on Cybernetics (2021).
IEEE Access (2021, 2022).
Springer Nature Scientific Report (2022)

Publication:

Roy, S., Tyagi, M., Bansal, V., & Jain, V. (2022). SVD-CLAHE boosting and balanced loss function for Covid-19 detection from an imbalanced Chest X-ray dataset. Computers in Biology and Medicine, 106092. (Impact Factor: 6.698)
V. Jain, Phophalia, A., & Mitra, S. K. (2022). HML-RF: Hybrid Multi-Label Random Forest. IEEE Access, 10, 22902-22914. (Impact Factor: 3.367)
A. Dam, A. Phophalia and V. Jain "A Novel Bayesian Approach for Construction of Random Forest", in Sixth International Conference on Image Information Processing (ICIIP), 2021.
V. Jain and A. Phophalia, “Improved random forest for classification and regression", in Computational statistical methods and models for Artificial Intelligence, CRC, Taylor & Francis Publisher, USA, 2023. (Accepted, Book Chapter).
V. Jain and A. Phophalia, “M-ary random forest-a new multidimensional partitioning approach to random forest,” Multimedia Tools and Applications, pp. 1–22, 2020 (Impact Factor: 2.31)
V. Jain and A. Phophalia, "Exponential weighted random forest for hyperspectral image classification," in IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 3297{3300, IEEE, 2019. (Poster Presentation)
V. Jain and A. Phophalia, "M-ary random forest," in International Conference on Pattern Recognition and Machine Intelligence, pp. 161-169, Springer, 2019. (Oral Presentation)
V. Jain, J. Sharma, K. Singhal, and A. Phophalia, "Exponentially weighted random forest," in International Conference on Pattern Recognition and Machine Intelligence, pp. 170{178, Springer, 2019. (Oral Presentation)
V. Jain, A. Phophalia, and J. S. Bhatt, "Investigation of a joint splitting criteria for decision tree classifier use of information gain and gini index," in TENCON 2018-2018 IEEE Region 10 Conference, pp. 2187-2192, IEEE, 2018. (Oral Presentation)

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