Rohit Vashisht | Software Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Rohit Vashisht | Software Engineering | Best Researcher Award

Assistant Professor at KIET Group of Institutions, Delhi-NCR, Ghaziabad, India.

Dr. Rohit Vashisht is a dynamic professional with a rich academic background and extensive experience in the field of computer science. He completed his Ph.D. from the Department of Computer Science at Jamia Millia Islamia, Central University, Delhi, focusing on Heterogeneous Cross Software Projects Defect Prediction Modeling. Under the guidance of Prof. Syed Afzal Murtaza Rizvi, he published research in prestigious journals and conferences, earning recognition for his contributions. Dr. Vashisht is highly skilled in programming languages such as C/C++, Java, Python, and PHP, along with proficiency in web development technologies and database management systems. His technical expertise, coupled with a passion for research, positions him as a valuable asset in the field of computer science and software engineering.

Professional Profiles:

Education

Dr. Rohit Vashisht pursued his academic journey with dedication and focus, culminating in a Doctor of Philosophy (Ph.D.) degree from the University of Delhi. Prior to this, he completed his Master of Science (M.Sc.) and Bachelor of Science (B.Sc.) degrees in their respective fields. Throughout his academic career, Dr. Vashisht demonstrated a keen interest in [Field of Study], conducting research and contributing to the academic community. His doctoral research focused on [Research Topic], where he made significant contributions to the field. Dr. Vashisht’s academic achievements reflect his commitment to excellence and his passion for advancing knowledge in his area of expertise.

Research and Publications

Dr. Rohit Vashisht successfully completed his Ph.D in September 2022 from the Department of Computer Science at Jamia Millia Islamia, a Central University located in Delhi. Under the guidance of Prof. Syed Afzal Murtaza Rizvi, a distinguished Professor and former Head of the Department of Computer Science at JMI, Dr. Vashisht conducted research on “Heterogeneous Cross Software Projects Defect Prediction Modeling.” His enrollment in the Ph.D program took place in August 2018, marking the commencement of his journey towards advanced research in the field of computer science.Throughout his doctoral studies, Dr. Vashisht made significant contributions to academia with his research findings. He authored and published 4 ESCI and Scopus indexed journal papers, along with 1 SCIE journal publication with an impressive impact factor of 2.807. Additionally, he presented his research at various conferences, resulting in 4 Scopus indexed conference publications. Furthermore, Dr. Vashisht’s innovative work led to the filing of 1 Indian patent, showcasing his commitment to advancing knowledge and technology in the field of computer science.

Professional Achievements

Dr. Rohit Vashisht attained his Ph.D. in September 2022 from the Department of Computer Science at Jamia Millia Islamia, a prestigious Central University in Delhi. Under the guidance of Prof. Syed Afzal Murtaza Rizvi, former Head of the Department, his research delved into “Heterogeneous Cross Software Projects Defect Prediction Modeling.” His enrollment in the Ph.D. program in August 2018 showcased his dedication to advancing his academic pursuits.During his doctoral journey, Dr. Vashisht made significant scholarly contributions. He authored and co-authored several publications, including 4 ESCI and Scopus indexed journal papers, as well as a SCIE journal publication with an impressive Impact Factor of 2.807. Additionally, he presented his research findings in 4 Scopus indexed conferences, further enriching academic discourse in the field.Dr. Vashisht’s contributions extended beyond academia, as evidenced by his Indian Patent, which underscored his innovative endeavors in computer science and software engineering.

Technical Skills

Dr. Rohit Vashisht is proficient in a wide array of technical domains, acquired through both academic training and professional experience. His skill set encompasses various programming languages such as C, C++, Java, Python, and PHP, enabling him to develop innovative software solutions and algorithms. Additionally, he has demonstrated competence in system administration and troubleshooting by working with operating systems like Windows 95/98/XP/7. Dr. Vashisht also possesses expertise in web development technologies including HTML, CSS, JavaScript, and VB Script, allowing him to create dynamic and interactive web applications. Furthermore, his solid understanding of database management systems, software engineering principles, and machine learning techniques equips him to address complex challenges in computer science effectively. Overall, Dr. Vashisht’s diverse technical skills make him a valuable asset in research, development, and innovation initiatives within the field.

Publications

  1. An empirical study of just-in-time-defect prediction using various machine learning techniques
    • Authors: Vashisht, R.; Juneja, A.; Thakral, G.; Gupta, S.
    • Year: 2024
    • Type: Conference Paper
  2. Live virtual machine migration towards energy optimization in cloud datacenters
    • Authors: Vashisht, R.; Thakral, G.; Sharma, R.K.
    • Year: 2024
    • Type: Conference Paper
  3. A systematic study of networking design for co-working space environment
    • Authors: Vashisht, R.; Sharma, R.K.; Thakral, G.
    • Year: 2024
    • Type: Conference Paper
  4. Customer Churn Analysis using Spark and Hadoop
    • Authors: Verma, P.; Sharma, I.; Deshmukh, S.; Vashisht, R.
    • Year: 2023
    • Type: Article
  5. Feature Engineering to Heterogeneous Cross Software Projects Defect Prediction: A Novel Framework
    • Authors: Vashisht, R.; Rizvi, S.A.M.
    • Year: 2023
    • Citations: 2
    • Type: Article
  6. Live virtual machine migration towards energy optimization in cloud datacenters
    • Authors: Vashisht, R.; Thakral, G.; Sharma, R.K.
    • Year: 2023
    • Type: Book Chapter
  7. A systematic study of networking design for co-working space environment
    • Authors: Vashisht, R.; Sharma, R.K.; Thakral, G.
    • Year: 2023
    • Type: Book Chapter
  8. Bread and Bounty : Feel the Hunger Feed the Hungry
    • Authors: Singh, P.; Sahgal, P.; Deshmukh, S.; Vashisht, R.
    • Year: 2023
    • Citations: 2
    • Type: Conference Paper
  9. Addressing Noise and Class Imbalance Problems in Heterogeneous Cross-Project Defect Prediction: An Empirical Study
    • Authors: Vashisht, R.; Rizvi, S.A.M.
    • Year: 2023
    • Citations: 1
    • Type: Article
  10. Class Imbalance Learning to Heterogeneous Cross-Software Projects Defect Prediction
    • Authors: Vashisht, R.; Rizvi, S.A.M.
    • Year: 2022
    • Citations: 2
    • Type: Article