INDIVAR SHAIK

Name INDIVAR SHAIK
Designation Assistant Professor
Brief Profile(Expertise)

A highly skilled and dedicated professional with a Ph.D. in Computer Science and Engineering, I bring a strong academic background combined with hands-on industry experience. Over the past 8 years, I have had the privilege of teaching and mentoring students, helping them develop a deep understanding of Computer Science concepts and fostering their passion for innovation.
With 4 years of industry experience, I have been involved in real-world applications, particularly in the areas of Machine Learning and Neural Networks. I am passionate about these fields and constantly explore their potential to drive technological advancements. My research and teaching interests revolve around advancing the understanding and application of these technologies to solve complex problems across various domains

 

Department Computer Science and Engineering
Mobile  +91-9963231037





Email indivarshaik@gmai.com
Dateof Joining  
Educational
Qualifications

* Ph.D(Computer Science & Engineering) from Sri Satya Sai University of Technology & Medical Sciences, Sehore, Madhya Pradesh in 2020.
* M.Tech(Computer Science & Engineering) from Jawaharlal Nehru Technological University, Hyderabad in 2009.
* B.Tech(Information Technology) from Jawaharlal Nehru Technological University, Hyderabad in 2006.
* Intermediate (10+2) from Board of Intermediate Education in 2002.
* S.S.C from NavaBharat High School in 2000.

 

Professional
Competency
Machine Learning & Neural Networks: Extensive knowledge and hands-on experience in developing, implementing, and optimizing machine learning algorithms and neural network models. Proficient in supervised and unsupervised learning, deep learning, reinforcement learning, and model evaluation techniques.
Research & Analysis: Strong research skills with a focus on advanced algorithms, data structures, and emerging technologies in AI. Published research in relevant conferences and journals related to machine learning, neural networks, and their applications.
Teaching & Mentoring: Over 8 years of teaching experience in computer science, with expertise in delivering lectures, guiding projects, and mentoring students. Skilled in curriculum development, course design, and providing academic support to students.
Problem Solving & Critical Thinking: Adept at analyzing complex problems and applying innovative solutions in both academic and industrial settings. Strong ability to approach problems with a logical and analytical mindset.
Team Collaboration & Communication: Effective communicator and team player, experienced in collaborating with cross-functional teams. Skilled in presenting complex technical concepts to both technical and non-technical audiences.
Software Development & Programming: Proficient in programming languages including Java, Angular, and Springboot with a focus on data-driven and AI-powered applications. Knowledge of various software development practices and tools for code optimization, debugging, and deployment
Specialization Big Data Analysis, Machine Learning, Neural Networks
Experience

Total: 12 Years (1+2)

Teaching: 8 Years

Research: 0 Years

Administration: 0 Years

Industrial : 4 Years

Publications

Total: 5
SC Imago Journals: Scopus Journals:
Web of Science Journals:
UGC CARE listed Journals: Peer reviewed Journals:

Conference International Publications : Conference National Publications :
Edited Books published by International Publishers: Edited Books published by National Publishers:
Book Chapters in edited books published by International Publishers:

Book Chapters in edited books published by National Publishers:

   
ResearchGuidance PhD Thesis: Completed: Ongoing: M.E./MTech- Dissertations: Completed : Ongoing:
B.E. Projects:
ResearchProjects Academic: Completed: Ongoing: Sponsored: Completed: Ongoing :
PatentsGranted International: National :
PatentsPublished International: National:
Professional
Memberships
 ISTE (LM 61125)
Membershipof
Committees
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Awards&Honors

 

Research Interest

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Machine Learning, Neural Networks

Research Profile (ID & URL)

Researcher Profile:

ORCID Profile: Scopus Profile: Google Scholar Profile :
Vidwan Profile: Research Gate Profile:

   
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