Faculty

Meet the Assistant Professor - III
Harsh Taneja
Assistant Professor - III,
School of Engineering & Technology
- Graduation In: B. E (Computer Science & Engineering)
- Graduation From: Maharishi Dayanand University, Rohtak
- Graduation Year: 2009
- Post Graduation In: M. E (Software Engineering)
- Post Graduation From: Thapar University, Patiala
- Post Graduation Year: 2012
- Doctorate In: PhD (Computer Science & Engineering)
- Doctorate From: Punjabi University, Patiala
- Doctorate Year: 2022
| From - To (Year) | Designation & Organization | Core Competency | Additional Exp. Details |
|---|---|---|---|
| September 2012 – Jan 2014 | Assistant System Engineer | TCS | | ||
| March 2014 – Aug 2014 | Assistant Professor | Galgotias University, Greater Noida | | ||
| August 2014 – July 2022 | Assistant Professor | Bharati Vidyapeeth’s College of Engineering, New Delhi | | ||
| July 2022 – July 2023 | Assistant Professor | SVKM’s NMIMS, Navi Mumbai | | ||
| July 2023 – January 2025 | Associate Professor | Graphic Era (Deemed to be) University, Dehradun| | ||
| January 2025 –Present | Assistant Professor | BML Munjal University, Gurugram | |
- Journal: Achin Jain, Shakir Khan, Kashish Koli, Harsh Taneja, Arvind Panwar, Thamer Alshammari, Essam Mohamed Obaid & Seid Mehammed Abdu “ PhishNet 1.0: optuna-optimized stacking ensemble with Boruta-based feature selection for phishing URL detection”, 2025, Scientific Reports, Springer Nature.
- Journal: Shreya Girotra, Achin Jain, Sarita Yadav, Arvind Panwar, Harsh Taneja, Lukas Herout, Ondrej Krejcar, Hamidreza Namazi “ Automated DFU detection through GA-selected CNN ensemble with Grad-CAM interpretability”, 2025, Scientific Reports, Springer Nature.
- Journal: Sumitra Iyer, Yogesh Jadhav, Harsh Taneja, Daivik Padmanabhan. “Machine learning based method for dynamic forecasting of total electron content in the equatorial ionosphere”, Journal of Atmospheric and Solar-Terrestrial Physics, Elsevier, 2025.
- Journal: Sumitra Padmanabhan, Daivik Padmanabhan, Yogesh Jadhav, Harsh Taneja. “Forecasting ionospheric VTEC in the Indian equatorial and low-latitude region amid geomagnetic storms using the VECM model”, Dynamics of Atmospheres and Oceans, Elsevier, 2025
- Conference: Harsh Taneja, Garvita Arora, Rudraksh Agarwal, Sumitra Padmanaban “Job Readiness Prediction System using Machine Learning” 2025 Eighth International Conference on Image Information Processing (ICIIP), Jaypee University, Solan, IEEE, Pages: 187-191
- Conference: Swati Sharma, Harsh Taneja, Vivek Tomar, Sangeeta Arora, Jyotir Moy Chatterjee, Vedant Desai “ Voice-Signal based Prediction of Parkinson’s Disease with Machine Learning Models” 2026 6th Biennial International Conference on Nascent Technologies in Engineering (ICNTE), IEEE, Pages: 1-5.
- Book Chapter: Harsh Taneja, Garvita Arora, Rudraksh Agarwal, Jyotir Moy Chatterjee, “ Artificial Intelligence and Deep Learning in Healthcare” Book: “ Artificial Intelligence and Blockchain in Precision Medicine and Virology”, 2025, Springer Nature
Journal Publications
- Harsh Taneja, Supreet Kaur. “An ensemble classification model for fake feedback detection using proposed labeled CloudArmor dataset.” in Computers & Electrical Engineering, Elsevier. DOI: 10.1016/j.compeleceng.2021.107217
- Harsh Taneja and Supreet Kaur. “Reputation based novel trust management framework with enhanced availability of Cloud” in Journal of Parallel and Distributed Computing, Elsevier. DOI: https://doi.org/10.1016/j.jpdc.2023.03.010
- MS Guru Prasad, P Singh, H Taneja, AK Jain, S Chandrappa “Statistical analysis of multi job processing in Hadoop environment using schedulers” Journal of Information and Optimization Sciences, Taylor & Francis, May 2022. DOI: https://doi.org/10.1080/02522667.2022.2042087
- Prabhdeep Singh, M. S. Guru Prasad, Harsh Taneja, H. Aditya Pai & Sharonchrista “Statistical analysis of an improved tuning method for optimizing performances of Hadoop applications” Journal of Information and Optimization Sciences, Taylor & Francis, May 2022. DOI: https://doi.org/10.1080/ 02522667.2022.2042090
- AP Singh, G Kumar, GS Dhillon, H Taneja “Hybridization of chaos theory and dragonfly algorithm to maximize spatial area coverage of swarm robots” Evolutionary Intelligence, Springer, January 2023. DOI: https://doi.org/10.1007/s12065-023-00823-5
- Naman Aggarwal, Harsh Taneja, Abhinav, Apoorv, Himanshu Mangal “Detection of Covid-19 using Cough Sounds” Fusion: Practice and Applications (FPA) 2022
- Harsh Taneja, Rohan Verma, Prabh Deep Singh, Kiran Deep Singh “Monitoring and Mitigating Climate-Induced Natural Disasters with Cloud IoT” Journal of Climate Change 2024. DOI: 10.3233/JCC240008
- . Bhumika Rana, Puneet Singh Lamba, Achin Jain, Harsh Taneja “Enhanced credit card fraud detection in online transactions using Long Short Term Memory (LSTM) and RFM analysis with ADASYN oversampling” Journal of Information & Optimization Sciences 2024. DOI : 10.47974/JIOS-1558
- Prabh Deep Singh*,Kiran Deep Singh, Harsh Taneja & Rohan Verma “Enhancing cloud service efficiency through ant colony optimization with multi-objective task scheduling” Journal of Information & Optimization Sciences 2024. DOI : https://doi.org/10.47974/JIOS-1559
- Harsh Taneja, Vanita Jain, Achin Jain, Arun Kumar Dubey, M.C. Taplamacioglu & M. Demirci “WEATHER PREDICTION USING REGRESSION ALGORITHM AND NEURAL NETWORK TECHNIQUE” International Journal on “Technical and Physical Problems of Engineering” (IJTPE) June 2024
- Shallu Juneja, Harsh Taneja, Ashish Patel, Yogesh Jadhav, Anita Saroj “Bio‑Inspired Optimization Algorithm in Machine Learning and Practical Applications” SN Computer Science Journal, Springer
LIST OF PUBLICATIONS (Conference)
- Harsh Taneja, Supreet Kaur “Trust management models for cloud computing: A Literature Review.” International Conference on Emerging Trends in Engineering and Technology (ICETET-2021).
- Harsh Taneja, Supreet Kaur “Fake feedback detection to enhance trust in cloud using supervised machine learning techniques” International Conference on Data Analytics and Management 2021. Springer Series on Lecture Notes
- Astha Kathar, Sumitra Iyer, Harsh Taneja, Yogesh jadhav “Early Prediction of Heart Failure by Using Stacking Classifier” 2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon), MIT ADT University, Pune, India. IEEE
