About
Committed and zealous for my profession I have an experience of +7 years in subjects as Soft Computing, Automata Theory, Deep Learning , Machine Learning, Database Management Systems, Data Structures. Following the student centric approach I aim to be a faculty who prioritizes the needs, growth and overall development of my students. I look forward to encouraging and mentoring the students to achieve their academic and professional experience.
Deep Learning, Machine Learning, and Soft Computing
Assistant Professor at Don Bosco Institute of Technology..
- Phone: +91 9805552423
- City: Mumbai,India
- Degree: M.Tech (CSE)
- Email: himani@dbit.in
I am a hard working and an enthusiastic professor with great interest in the field of Deep Learning and Soft Computing. With my journey as an academician and research enthusiast, I always want to thrive well myself and aim to equip my students with skills and critical thinking abilities. I am inclined towards fostering critical thinking in the students through innovative projects and interactive class sessions thereby making them proficient in their academic pursuits and career goals.
Skills
With a great passion for nurturing an engaging and collaborative learning environment for the students, I simplify complex concepts and empower students to apply theoretical concepts into real world situations. My expertise includes: Machine Learning and Deep Learning models, nature inspired optimization algorithms.
Resume
Currently, associated with DBIT, Mumbai as an Assistant Professor
Sumary
Himani Joshi
An experienced educator with 7+ years of teaching expertise, specializing in delivering high-quality education in computer engineering field. My career reflects a strong commitment to the teaching-learning process, with a focus on fostering student understanding and engagement.
- Mumbai,India
- +91 9805552423
- himani@dbit.in
Education
Master of Technology
2014 - 2016
D.A.V. University, Jalandhar, India
Bachelor of Technology
2010 - 2014
Manav Rachna International University, Faridabad, India
H.SC.
2008 - 2010
DAV Sen. Sr. School
SSC
2008
Mount Carmel Sen. Sr. School
Professional Experience
Assistant Professor
December, 2024 - Present
- Department of Computer Engineering, Don Bosco Institute of Technology, Mumbai
Assistant Professor
February 2024 - November 2024
- AI&DS at Thadomal Shahani Engineering College Mumbai.
Assistant Professor
May 2023- January 2024
- IT at Thakur college of Engineering and Technology Mumbai.
Faculty
August 2018- May 2023:
- Indian Institute of Information Technology Una, HP.
Lecturer
August 2017- June 2018
- Indian Institute of Information Technology Una, HP. Camp office: National Institute of Technology, Hamirpur, HP, India
PUBLICATIONS
International Journals: 3
H. Joshi, S. Arora, “Enhanced Grey Wolf Optimization Algorithm for Global Optimization”, Fundamenta Informaticae, vol. 153, 2017, pp. 235–264.
H. Joshi, S. Arora, “Enhanced Grey Wolf Optimization Algorithm for Constrained Optimization Algorithm”, International Journal of Swarm Intelligence, vol. 3, No. 2/3, 2017, pp. 126-151.
Shrutika, Himani Joshi, Vishakha Minocha, Akash Tyagi, “Comparative Analysis of Steganography for Colored Images”, IJCSE, Vol. 2, Issue – 4, April 2014.
M.TECH THESIS
Enhanced Grey Wolf Optimization for Global Optimization: August 2015 - May 2016
D.A.V. University, Supervisor: Dr. Sankalap Arora
Enhanced Grey Wolf Optimization (EGWO) algorithm is proposed with the introduction of amendments in the hunting mechanism as well as in a parameter of the existing GWO algorithm.
- The EGWO algorithm is validated using twenty-five standard test bed benchmark functions.
- To validate its effectiveness, a penalty function is consolidated, and diverse experiments are executed on different constrained benchmark functions.
- Additionally, it is applied to a real-world application of range-based node localization in Wireless Sensor Networks (WSN).
EGWO algorithm has outperformed other standard metaheuristic optimization algorithms in terms of finding optimal solutions. It also highlighted its effectiveness by localizing nodes with optimal locations, achieving maximum localization accuracy, and minimizing mean square localization error.
PATENT
Certificate on Utility Model No. 20 2023 106 483 with designation of “Disease Prediction system based on Machine Learning technology” - 12 Dec ‘23.
Services
With a strong academic foundation and a deep commitment to education, I bring significant experience in shaping the students’ academic journey. As a dedicated professional, I wish to inspire and mentor the learners, supporting them in both academic excellence and personal growth.
Contact
Location:
Mumbai, India
Email:
himani@dbit.in
Call:
+91 9805552423