dr-harsh-bhasin

MANAV RACHNA UNIVERSITY, FARIDABAD Sector 43, Aravalli Hills, Manav Rachna Campus Rd, Faridabad, Haryana 121004

Harsh Bhasin Designation:

Assistant Professor

Qualifications:Ph.D. (Submitted), M.Tech, B.Tech Email: harshbhasin@mru.edu.in Experience: 12 Years

Google Scholar Profile Link: https://scholar.google.co.in/citations?hl=en&user=OST5GeEAAAAJ&view_op=list_works&sortby=pubdate Research Gate Profile Link: https://www.researchgate.net/profile/Harsh-Bhasin

UGC-NET/CSIR-NET/JRF/SRF/GATE Qualified: UGC-NET, GATE Qualified Research Interest/Specialization: Machine Learning, Deep Learning, Algorithms, Theory of Computation

+ Awards/Achievements: Visvesvaraya Fellowship, Best Paper Awards

+ Professional Affiliation(s): NA

+Ph.D. Guidance: Registered

Submitted

Awarded

+ Administrative Responsibilities: Program Coordinator: CSTI-1; VAC –Competitive Coding Coordinator; Coding Ninjas Coordinator

+ Event Organized (Conference/Seminar/FDP/Workshops/Webinars): NA

+ Expert Talk Delivered/Session Chair Details:

Seminar Conducted on Machine Learning organized by BPB, 2019.

Seminar Conducted on Machine Learning organized by Apeejay Satya University, 2019.

+Journal Publications: MILD COGNITIVE IMPAIRMENTS

1. Mild Cognitive Impairment Classification Using Triploid Genetic Algorithms, Accepted in Alzheimers and Dementia, Impact factor 21.566 2. A combination of 3-D discrete wavelet transform and 3-D local binary pattern for classification of mild cognitive impairment.

Bhasin, H., Agrawal, R.K., BMC Med Inform Decis Mak 20, 37 (2020). https://doi.org/10.1186/s12911-0201055-x: Impact Factor: 2.79 DIPLOID GENETIC ALGORITHMS AND APPLICATIONS 3. On the Applicability of Diploid Genetic Algorithms Harsh

Bhasin,

Sushant

Mehta,

AI

and

Society,

Springer-Verlag

London

2016,

10.1007/s00146-015-0591-x.

Link: https://link.springer.com/article/10.1007/s00500-015-1803-5 4. On the Applicability of Diploid Genetic Algorithms in Dynamic Environments Harsh Bhasin, et. al., Soft Computing, Springer, 10.1007/s00500-015-1803-5 https://link.springer.com/article/10.1007/s00500-015-1803-5, Impact Factor: 3.6 SOFTWARE ENGINEERING 5. “Towards a Secure Automated test data generator Using S-Box,” ACM SIGSoft Software Engineering Notes, September, 2014.

6. “Cost priority Cognizant Regression Testing,” ACM SIGSoft Software Engineering Notes, May, 2014.

7. “Neural Network Based Black Box testing,” ACM SIGSoft Software Engineering Notes, March, 2014.

8. “Artificial Life Based Test Data Generation,” ACM SIGSoft Software Engineering Notes, Jan, 2014.

9. “Test Data Generation Using Cellular Automata,”ACM SIGSoft Software Engineering Notes, July, 2013.

10. “Cellular Genetic Test data Generation,”ACM SIGSoft Software Engineering Notes, September, 2013.

Others

https://www.researchgate.net/profile/Harsh_Bhasin3

+Conference Publications: 1. Breaking AES Using GA Harsh Bhasin, Surbhi Bhatia IEEE sponsored 2012 4th International Conference on Electronics Computer Technology (ICECT 2012) 2. DNA Cryptography Using Finite Field Arithmetic Harsh Bhasin, Vinita Dhankar IEEE sponsored 2012 4th International Conference on Electronics Computer Technology (ICECT 2012) 3. Corpuscular Random Number Generator Presented in IACSIT, IEEE Catalog Number: CFP1147L-ART ISBN: 978-1-4244-9506-1, 2011 4. Harnessing Cellular Automata and Genetic Algorithms to solve Traveling Salesman Problem 2012, ICICT, 1st Apr,2012 5. Efficient parser for Sanskrit Documents ICST’11 Harsh Bhasin, Saakshi Raheja, Rahul ISBN: 978-981-08-7931-0 6. Use of Cellular automata patterns in cryptography.

Harsh Bhasin, Neha Gupta NCACI11 ISSN: 978-981-08-9248-7 7. Use of Cellular Automata for generating random numbers NCETAC ‘10 8. Cryptography using Genetic Algorithms CSI Supported ICRITO ‘10 Harsh Bhasin, Nakul Arora 9. On the Applicability of Diploid Genetic Algorithms in Dynamic Environments 2014, Intl. Conference on Soft Computing and Machine Learning Harsh Bhasin, Gitanshu, Nimish, Raj, Shiwani

10. Multiple-Activation Parallel Convolutional Network in Combination with t-SNE for the Classification of

Mild Cognitive Impairment.

Bhasin, H., Agrawal, R.K., In The 21st IEEE International Conference on BioInformatics and BioEngineering, October 25-27, 2021, Kragujevac, Serbia.

11. Applicability of Manually Crafted Convolutional Neural Network for Classification of Mild Cognitive Impairment.

Bhasin, H., Agrawal, R.K., In The Asian Conference on Computers and Communication, September 2021, Singapore.

12. PCA Based Hierarchical CNN for the Classification of Mild Cognitive Impairments and the Role of SIREN Activations.

Bhasin, H., Agrawal, R.K., In The Asian Conference on Computers and Communication, September 2021, Singapore. + Book/Chapter Publications: 1. Programming in C#, Oxford University Press (January, 2014). https://india.oup.com/product/programming-in-c-9780198097402 2. Analysis and Design of Algorithms, Oxford University Press (October, 2015). https://india.oup.com/product/algorithms-9780199456666 3. Python for Beginners, New Age International (January, 2018).

4. Python Basics, Mercury, United States (January, 2019).

5. Machine Learning, In Press (Oct. 2020).

6. Problem Solving and Python Programming, New Age International (October, 2021).

7. Theory of Computation, In press.

8. Computer Science and Information Practices, XI and XII books for CBSE, New Age International.

+ Project/Consultancy:

+ Patent(s): NA