Specialization

Theoretical Computer Science, Blockchain Technologies, Smartphone Sensors and Application of formal grammar in Biology

Email

nidhi.kalra@thapar.edu

nidhi.kalra@thapar.edu, kalranidhi8@gmail.com

Mobile Number- 950135188

Dr. Nidhi Kalra is currently working as an Assistant Professor in the Computer Science and Engineering Department at Thapar Institute of Engineering & Technology (Deemed University). She has done her PhD in Computer Science and Engineering Department from Thapar Institute of Engineering & Technology (Deemed University), in the year 2017, Master of Engineering from PEC University of Technology, Chandigarh, India in the year 2014 and B. Tech from AIET, PTU, (Pb.)in the year 2012 India. Her main research interests are Theoretical Computer Science, Blockchain Technologies, Smartphone Sensors and Application of formal grammar in Biology. 

Publications:

SCIE Indexed Journals
1.    S. Sharma, R. Rani and N. Kalra, “Genomic Characterization of Emerging SARS-CoV-2: A Systematic Review”, Current Bioinformatics, 2023. [Impact Factor-4.850][Accepted]
2.    S. Sharma, N. Kalra, L. Gupta, N. Varma, S. Agrawal, V. Verma, VASE: Smart glasses for the visually impaired, Journal of Ambient Intelligence and Smart Environments, 14(3), 213-226, 2022. [Impact Factor-2.759]
3.    J. Kaur, R. Rani and N. Kalra, A Blockchain‐based Framework for Privacy Preservation of Electronic Health Records (EHRs). Transactions on Emerging Telecommunications Technologies. 33(9):e4507, 2022. [Impact Factor-3.31] 
4.    J. Kaur, R. Rani and N. Kalra, Blockchain‐based framework for secured storage, sharing, and querying of electronic healthcare records. Concurrency and Computation: Practice and Experience, 33(20), e6369, 2021. [Impact Factor-1.831] 
5.    N. Kalra, R. K. Goyal, A. Parashar, J. Singh, G. Singla, Driving Style Recognition System using Smartphone Sensors based on Fuzzy Logic, Computers, Materials & Continua, 69(2), pp.1967-1978, 2021. [Impact Factor-3.86]
6.    A. Parashar, N. Kalra, J. Singh, R. K. Goyal, Machine Learning based Framework for Classification of Children with ADHD and Healthy Controls, Intelligent Automation & Soft Computing, 2021. [Impact Factor-3.401] 
7.    R. K. Goyal, J. Singh, N. Kalra, A. Parashar, G. Singla, S. Kaushal, Obtaining Crisp Priorities for Triangular and Trapezoidal Fuzzy Judgments, Computer Systems Science and Engineering, 41(1), 157–170, 2021. [Impact Factor-4.397]
8.    A. Kumar, N. Kalra, and S. Garhwal, Error tolerance for the recognition of faulty strings in a regulated grammar using fuzzy sets. Sadhana, 43(8), 1-12, 2018. [Impact Factor-1.214] 
9.    N. Kalra and A. Kumar, Deterministic Deep Pushdown Transducer and its Parallel version, The Computer Journal, 1-11, 2017. [Impact Factor-1.762]
10.    N. Kalra and A. Kumar, Fuzzy state grammar and fuzzy deep pushdown automaton, Journal of Intelligent & Fuzzy Systems, 31 (1), 249-258, 2016. [Impact Factor-1.737]
11.    N. Kalra and A. Kumar, State Grammar and Deep Pushdown Automata for Biological Sequences of Nucleic Acids, Current Bioinformatics, 11 (4), 470-479, 2016. [Impact Factor-4.850]

Scopus Indexed

1.    S. Chopra, N. Kalra and R. Rani, Identification of Cardiovascular Disease using Machine Learning and Ensemble Learning, In IEEE International Conference on Innovative Data Communication Technologies and Application, Graphic Era Hill University, Dehradun, India. 14-16, March, 2023[Scopus Indexed] 
2.    J. Kaur, R. Rani and N. Kalra, "An Automated Liver Disease Detection System using Machine Learning and Smart Contract," IEEE International Conference on Current Development in Engineering and Technology (CCET-2022) Bhopal, Madhya Pradesh, India, 2022[Scopus Indexed]
3.    J. Kaur, R. Rani and N. Kalra, "A Blockchain Enabled Predictive, Analytical Model for Fraud Detection in Healthcare Data," 2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC), Solan, Himachal Pradesh, India, 2022, pp. 319-324, doi: 10.1109/PDGC56933.2022.10053120. [Scopus Indexed] 
4.    S. Parmar, N. Kalra and R. Rani, Analysis and Prediction of COVID-19 Disease using Machine Learning Techniques, In Thirteenth International Conference on Advances in Communication, Network, and Computing – CNC 2022 Bengaluru, India, Jul 29-30, 2022, [Scopus Indexed]
5.    H. Mansoor, N. Kalra, P. Goyal, M. Bansal, N. Wadhwa, Hand Gesture Recognition using 3D CNN and Computer Interfacing, 6th International Conference on Inventive Systems and Control, Coimbatore, India. 6-7 January 2022, [Scopus Indexed]
6.    S. Saini, R. Rani and N. Kalra, Prediction of Attention Deficit Hyperactivity Disorder (ADHD) using machine learning techniques based on classification of EEG signals, In 8th International Conference on Advanced Computing and Communication Systems (ICACCS), Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India, 25-26, March 2022, [Scopus Indexed]
7.    S. Saini, R. Rani and N. Kalra, Detection and Characterization of Attention Deficit Hyperactivity Disorder using Ensemble Learning, In 3rd International Conference on Internet of ThingsThe School of Computing of SRM Institute of Science and Technology, Chennai, 5-7 April 2022, [Scopus Indexed]
8.    G.S. Brar, G. Sharma, P.Singh, N. Gupta, N. Kalra, A. Parashar, NOMA-Non-Offensive Messaging Application Framework Using Machine Learning Technique for Online Communication through Social Media, In Ist International Conference on Human-Centric Smart Computing, UEM, New Delhi, 27-29, April, 2022 [Scopus Indexed]
9.    G. Sharma, G.S. Brar, P.Singh, N. Gupta, N. Kalra, A. Parashar,An exploration of machine learning and deep learning techniques for offensive text detection in social media- a systematic review, In International Conference on Innovative Computing and Communication (ICICC), Shaheed Sukhdev College of Business Studies, University of Delhi, New Delhi, 19-20 Feburary 2022. [Scopus Indexed]
10.    A.Singh, A. Singh, S. Sharma, N. Kalra, Sentiment Analysis of Twitter Data During Farmers Protest in India Through Machine Learning, In International Conference on Computer Science and Software Engineering CSASE, 2022, Duhok, Kurdistan Region – Iraq, 2022. [Scopus Indexed]
11.    L.Gupta, N.Varma, S.Agrawal, V.Verma, N.Kalra, S. Sharma, Approaches In Assistive Technology: A Survey On Existing Assistive Wearable Technology For The Visually-Impaired, International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), Indexed by Springer, , Vaigai College of Engineering, Madurai, India, 15-16 December 2020[Scopus Indexed].

12. A. Kumar, N. Kalra and  S.Garhwal, Evolving state grammar for modeling DNA and RNA structures, International Journal of Engineering and Technology, 7(1), 19-24, 2018

Other Publications
1.   N. Kalra, G. Chugh and D. Bansal, Analyzing Driving and Road Events via Smartphone. International Journal of Computer Applications, 98 (12), 5-9, 2014 
2.    N. Kalra and D. Bansal, Analyzing Driver Behavior Using Smartphone Sensors-A Survey, International Journal of Electronic and Electrical Engineering, 7 (7), 697-702, 2014 
3.    N. Kalra and D. Bansal, Detecting and Characterizing Driving Events via Smartphone. In 5th International Conference on Electronics Engineering & Computer Science, IEMCON 2014, Proceedings in Elsevier Science & Technology and Indexed by Elsevier. 28-29 August, 2014. Science City Auditorium, Kolkata 

Honors and awards

•    Senior Research Fellow under Visvesvaraya PhD Scheme fellowship by Ministry of Electronics & Information Technology, Government of India. [Jan 14, 2017 - July 27, 2017]
•    Junior Research Fellow under Visvesvaraya PhD Scheme fellowship by Ministry of Electronics & Information Technology, Government of India. [Jan 14, 2015- Jan 13, 2017]
•    State level Player of Roller Skating (Hockey) graded by Directorate of Sports, Punjab
•    Second Topper of branch CSE in B.Tech 

Administrative Experience

1.    Assistant Warden, Hostel N (Girls) from Dec 2022-Present
2.    PG Co-Coordinator from Sep 2021- Present
3.    Ph.D. Co-Coordinator from July 2017- March 2019.