Prof. Sukriti
Assistant Professor
Computer Science professional and Assistant Professor with experience in teaching, technical training, student mentoring, accreditation activities, Training & Placement, AI/ML, DevOps and emerging technologies. Pursuing PhD in Computer Science & Engineering with interests in Transformers, Agentic AI, ML, Quantum Computing and Quantum Machine Learning.
LinkedIn : https://www.linkedin.com/in/sukriti-malik-ba5566179/?isSelfProfile=false
Education
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Ph.D, Computer Science & Engineering — DCRUST Murthal | 2024 – Present
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M.Tech, Computer Science & Engineering — MDU Rohtak | 2021–2023
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B.Tech, Computer Science & Engineering — Amity University, Noida | 2017–2021
Experience
Assistant Professor,
Dronacharya College of Engineering, Gurgaon
Joined on 5 Aug, 2024 - Present
Assistant Professor
Gurgaon Institute of Technology & Management, Rewari
From Dec, 2011 - Aug, 2024
Lecturer, Department of Computer Science & Engineering
DAV College of Engineering & Technology, Kanina (Mohindergarh)
Feb, 2008 - Oct, 2011
Lecturer, Department of Computer Science & Engineering
Somany Institute of Technology & Management, Rewari Aug, 2004 to June, 2006
Skills
Programming: C, Python, Java | AI/ML: Machine Learning, Deep Learning, Transformers, NLP, Agentic AI | Quantum: Qiskit, Quantum Computing, Quantum Machine Learning DevOps/Cloud: AWS EC2, S3, IAM, RDS, VPC, EKS, Jenkins, GitHub Actions, Docker, Kubernetes, Terraform, Helm, Git, GitLab, SonarQube, OWASP Dependency Check, Prometheus, Grafana
Internship & Certifications
Internship: Bharat Electronics Limited (BEL), Kotdwar | 2020 — Built People Talk Enterprise Project.
Certi ications: IBM SkillsBuild – Quantum Computing; Scaler – Object Oriented Programming in Java; Behavioural Science; Corporate Communication; Outcome Based Education & NBA Accreditation Process; French working knowledge.
Research & Publications
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Spam Detection in E-mail using Machine Learning Algorithms and AdaBoost Technique — IC3I-2023; published in IEEE Xplore Digital Library.
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A Study on Fake News Detection and Classi ication Based on Logistic Regression (LR) and Arti icial Neural Networks (ANN).
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Gated Recurrent Assisted Vision Transformer for Kidney Tumor Segmentation with Effective Optimization Algorithm — International Journal of Information Technology & Decision Making.