farewell
Farewell 2022
farewell 1 2022-23
Ambedkar Jayanti 2023
Ambedkar Jayanti 2023

Department of Computer Science & Engineering (CSED) at Institute of Engineering & Technology Lucknow (IET-L) was started since its establishment in 1984 and became the place of top-ranking students of state entrance examination (UPSEE) over past decades. The CSED@IET-L is a premier and dynamic center for imparting quality education and known for excellence in teaching in the field of computer science in the state of Uttar Pradesh. 

The department offers B. Tech. programme in Computer Science & Engineering/ Information Technology, M.tech. Programme in Artificial Intelligence & Data Science and PhD programme in Computer Science & Engineering. The department is a center for advanced studies, keeping pace with the latest in the rapidly changing environment of information technology. It has been a consistent endeavour of the department to adapt itself and its programmers to mirror the requirements of the constantly evolving IT environment in India and abroad.

The curriculum of B. Tech. programme in Computer Science & Engineering comprehensively covers the topics related to computing and information technology with an emphasis on practical learning. The educational ecosystem and up-to-date course structure prepare our students adaptive with the latest developments in computer science & engineering.   

The faculty members of the CSED@IET-L hold strong academic credentials and delivers expert classroom lectures supported from their strong research experience. The department has state-of-the-art infrastructure and computing laboratories. All laboratories are facilitated by high-speed ethernet and wireless networks.

For more information regarding research activities at CSED@IET-L, please visit the faculty and research pages.

Vision of Department

To contribute at national and international scenario through excellence in science and technology by providing a transformative education and research in the field of computer science and engineering and to cultivate the attitude and skills of employability, entrepreneurship, start-up among students so that they can become a valuable resource not only for the industry but also for the society.

Mission of Department

M1. To achieve high academic standards and values to prepare computer science professionals who can augment the industrial, educational, research, innovations and social needs of the nation and the world at large.

M2. To provide the education to the students by rigorous course work etc. in such a way that they should be an excellent technocrat.

M3. To develop human technical potential to its fullest extent so that intellectually capable and imaginatively gifted leaders can emerge in a range of professions to achieve the needs of society and industry.

M4. To preserve the core values as an enduring principle adopted by the department are integrity, excellence, transparency, and empathy.

 

The Program Educational Objectives (PEOs) of B. Tech. programme in Computer Science & Engineering are given below:

PEO1. The students will be able to formulate and analyze engineering problems of various domains that may require sound foundation of mathematics, scientific reasoning and computer engineering fundamentals.

PEO2. The students will be able to use techniques, tools and skills in areas aspiring for innovative solutions to challenging problems of Industry and day-to-day life.

PEO3. The students will be able to contribute effectively and efficiently in varying roles of teamwork along with the practice of ethical and moral values.

The Program Specific Objectives (PSOs) of B. Tech. programme in Computer Science & Engineering are given below:

PSO1: Possess strong mathematical & algorithmic skills and background in core subjects of computer science to appreciate the problems of various diverse domains along with standard tools and technologies in practice to make perfect suitability for industry, academia and research organizations.

PSO2: Use techniques of mathematical abstractions and modelling for formulating real-world problems of various domains and design solutions.

PSO3: Possess knowledge and skills to understand, analyze and develop the strategy in the upcoming areas like data science and some specialized area of computer science intending to emulate human intelligence such as machine learning, computer vision, pattern recognition, Natural language processing.

Programmes Offered

Programme Specialization Intake Started In
Bachelor of Technology (CSE-R) (Regular) Computer Science and Engineering 60 1984
Master of Computer Applications (Regular) 60 1988
Bachelor of Technology (IT) (Self Financed) Information Technology 60 1998
Bachelor of Technology (CSE-AI) (Self Financed) Computer Science and Engineering (AI) 60 2021
Bachelor of Technology (CSE-SF) (Self Financed) Computer Science and Engineering 60 2021
Master of Technology (Self Financed) Artificial Intelligence and Data Science 18 2021

Regular Faculty

Name Designation E-Mail
Dr. Girish Chandra Professor & HOD [email protected]
Dr. Divakar Singh Yadav Professor [email protected]
Dr. M H Khan Professor (MCA) [email protected]
Dr. Manish Gaur Professor [email protected]
Dr. Yogendra Narain Singh Professor [email protected]
Dr. Vineet Kansal Professor (MCA) [email protected]
Dr. Manik Chandra Associate Professor [email protected]
Dr. Natthan Singh Assistant Professor [email protected]
Dr. Parul Yadav Assistant Professor (MCA) [email protected]
Dr. Pawan Kumar Tiwari Assistant Professor [email protected]
Dr. Upendra Kumar Assistant Professor (MCA) [email protected]

Contractual Faculty

Bachelor of Technology (CSE-R) ( Computer Science and Engineering )
Name Designation E-Mail
Mr. Ankit Kumar Assistant Professor (Contract) [email protected]
Miss. Priyanka Gautam Assistant Professor (Contract) [email protected]
Bachelor of Technology (IT) ( Information Technology )
Name Designation E-Mail
Miss. Shradha Kesav Tripathi Assistant Professor (Contract) [email protected]
Mr. Varun Kumar Assistant Professor (Contract) [email protected]
Bachelor of Technology (CSE-AI) ( Computer Science and Engineering (AI) )
Name Designation E-Mail
Er. Deepa Verma Assistant Professor (Contract) [email protected]
Er. Deepali Avasthi Assistant Professor (Contract) [email protected]
Mr. Rakesh Kumar Gautam Assistant Professor (Contract) [email protected]
Mrs. Sakshi Srivastava Assistant Professor (Contract) [email protected]
Mr. Sandeep Kumar Yadav Assistant Professor (Contract) [email protected]
Mrs. Sonam Srivastava Assistant Professor (Contract) [email protected]
Bachelor of Technology (CSE-SF) ( Computer Science and Engineering )
Name Designation E-Mail
Mr. Abhishek Singh Assistant Professor (Contract) [email protected]
Dr. Aditi Sharma Assistant Professor (Contract) [email protected]
Mr. Deepanshu Yadav Assistant Professor (Contract) [email protected]
Miss. Diksha Sharma Assistant Professor (Contract) [email protected]

Teaching Supporting Staff

Name Designation E-Mail
Mr. Abhishek Nagar System Manager [email protected]
Mr. Ritendra Goel Programmer [email protected]
Dr. Tanvir Tahir Programmer [email protected]
Mr. S K Verma Asst System Analyst [email protected]
Mr. Naveen Kumar Sinha Jr Programmer [email protected]
Mr. Vibhanshu Upadhyay Jr Programmer [email protected]
Mr. Vedant Singh Jr Programmer [email protected]
Mr. Arun Kumar Tiwari Key Punch Operator [email protected]
Mr. Mukesh Nigam Key Punch Operator [email protected]
Mr. Nitin Sharma Key Punch Operator [email protected]
Displaying 1 - 50 of 215 publications

2024

  1. Upendra Kumar, Object recognition using cognition based decision tree clustering in multi-level artificial neural network classifier and self similarity as feature criterion, Multimedia Tools and Applications, , vol. https://doi.org/10.1007/s11042-024-18691-1, , 2024. DOI : https://doi.org/10.1007/s11042-024-18691-1 Impact Factor : 3.6
  2. Upendra Kumar, A Noval approach for object recognition using decision tree clustering by incorporating Multi-Level BPNN classifiers and hybrid texture features, International Journal of Information Retrieval Research, , vol. 141, pp. 1-31, 2024. DOI : 10.4018/ijirr.338394 Impact Factor : 1.1
  3. Upendra Kumar, A noval approach of classification of COVID-19 from chest CT-Scan images using ensemble classifier in combination with cognition based texture features, Multimedia Tools and Applications, , , , 2024. DOI : https://doi.org/10.1007/s11042-024-18670-6 Impact Factor : 3.6

2023

  1. Ankit Kumar, Santosh Kumar Shukla Navin Prakash Rakesh Kumar Yadav COVID-19 Detection using adopted convolutional neural networks and high-performance computing, Multimedia Tools and Applications, , , , 2023. DOI : https://link.springer.com/article/10.1007/s11042-023-15640-2
  2. Ankit Kumar, Santosh Kumar Shukla Navin Prakash Rakesh Kumar Yadav A Deep Learning and Powerful Computational Framework for Brain Cancer MRI Image Recognition, Journal of The Institution of Engineers : Series B, , vol. 1046, , 2023. DOI : https://doi.org/10.1007/s40031-023-00926-8
  3. Ankit Kumar, Rakesh Kumar Yadav DilipKumar Jang Bahadur Saini Create and Implement a New Method for Robust Video Face Recognition Using Convolutional Neural network, Elsevier e-Prime- Advances in Electrical Engineering, Electronics and Energy, , vol. 5, , 2023. DOI : https://doi.org/10.1016/j.prime.2023.100241
  4. Priyanka verma, Abhishek singh Manish gaur Novel Approach for Multimodal Sentiment Analysis in online Social Media Platform, Elsevier SSRN , , , , 2023. DOI : https://dx.doi.org/10.2139/ssrn.4387785
  5. Utkarsh mishra, Abhishek singh Vineet kansal Social Media Sentiment Analysis Using BERT During COVID-19, Elsevier SSRN , , , , 2023. DOI : http://dx.doi.org/10.2139/ssrn.4387787
  6. Abhishek singh, Vineet kansal Manish gaur Mahima Shanker pandey Predicting Smart Building Occupancy Using Machine Learning, DOSCI-2023, , , , 2023.
  7. Supriya Agrahari , Sakshi Srivastava Anil Kumar Singh Review on novelty detection in the non-stationary environment, Knowledge in Information System , , , , 2023. DOI : https://doi.org/10.1007/s10115-023-02018-x Impact Factor : 2.6
  8. Esha Tripathi, Upendra Kumar Surya Prakash Tripathi Comparative Analysis of Techniques Used to Detect Copy-Move Tampering for Real-World Electronic Images, International Journal of Integrated Engineering, , vol. 154, pp. 201-225, 2023. Impact Factor : 0.286
  9. Chandrabhan Singh, Mohit Gangwar Upendra Kumar Analysis of Meta-Heuristic Feature Selection Techniques on classifier performance with specific reference to psychiatric disorder, International Journal of Experimental Research and Review, , vol. 31, pp. 51-60, 2023. DOI : https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.006
  10. Parul Yadav, Manik Chandra Nishat Fatima Saqib Sarwar, Aditya Chaudhary, and Brijesh Singh Predicting Influent and Effluent Quality Parameters for a UASB-Based Wastewater Treatment Plant in Asia Covering Data Variations during COVID-19: A Machine Learning Approach, Water, , vol. 154, pp. 710, 2023. DOI : https://doi.org/10.3390/w15040710 Impact Factor : 3.530
  11. Manish Saraswat, Mukesh Choudhary Ajay Prashar Ajay Kumar, Promila Bahadur Adoption & optimization of cloud Management: Current issues and future directions, Journal of Pharmaceutical Negative Results , , vol. 142, pp. 2170-2177, 2023. Impact Factor : <1
  12. Archana Sachindeo Maurya, Promila Bahadur Divakar Yadav Role Of Machine Learning In Machine Translation, Journal of Pharmaceutical Negative Results , , vol. 141, pp. 1134-1148 , 2023. Impact Factor : <1
  13. Irshad Nazeer, KDV Prasad Promila Bahadur Varsha Bapat, Kurian. M.J. Synchronization of AI and Deep Learning for Credit Card Fraud Detection, International Journal of Intelligent Systems and Applications in Engineering, , vol. 115, pp. 52-59, 2023. Impact Factor : 1.44
  14. Mukesh Agarwal , Manish Saraswat Promila Bahadur, Anju Asokan, Varsha Bapat Designing Artificial Intelligence (AI) Based Secured Framework to Improvise the Data Security of Confidential Academic Records, International Journal of Intelligent Systems and Applications in Engineering, , vol. 115, pp. 38-42, 2023. Impact Factor : 1.44
  15. Archana Sachindeo Maurya, Promila Bahadur Divakar Yadav Different ways to address machine translation using machine learning for sanskrit language, European Chemical Bulletin , , vol. 124, pp. 827-834, 2023. Impact Factor : 3.71
  16. Navya Arya, Promila Bahadur Tulika Narang Divakar Yadav Fake News Detection Using Hybrid Approach, European Chemical Bulletin , , vol. 126, pp. 397-405, 2023. Impact Factor : 3.71
  17. Bhavini Pandey, Priyanshi Promila Bahadur Tulika Narang,Divakar Yadav Driving Assistance Using Computer Vision, Journal of Harbin Engineering University , , vol. 445, pp. 157-167, 2023. Impact Factor : <1
  18. Archana Sachindeo Maurya, Promila Bahadur Divakar Yadav Machine Translation Approach for Resolution of Part of Speech Ambiguity from English to the Sanskrit Language, Journal of Harbin Engineering University , , vol. Vol 447, pp. 255-263, 2023. Impact Factor : <1
  19. Latika Jindal , Dr. Aditi Sharma A machine learning method for predicting disease-associated microRNA connections using network internal topology data, Energy , Publisher: Elsevier-SCI, Impact factor: 4.520, , , , 2023. DOI : https://doi.org/10.1016/j.health.2023.100215
  20. Shashank Chaudhary, Upendra Kumar An efficient approach for automated system to identify the rice crop disease using intensity level based multi-fractal dimension and twin support vector machine, Archives of Phytopathology and Plant Protection, Archives of Phytopathology and Plant Protection, , vol. 5610, pp. 806-834, 2023. DOI : 10.1080/03235408.2023.2222444 Impact Factor : 1.13
  21. Sakshi Srivastava, Supriya Agrahari Anil Kumar singh Spam community detection & influence minimization using NRIM algorithm, Computers in Human Behavior, , , pp. 107832, 2023. Impact Factor : 9.9
  22. Sakshi Srivastava, Supriya Agrahari Anil Kumar singh Early Spam Detection Using Time-Based Cache in Graph database, New Generation Computing, , vol. 41, pp. 607–634, 2023. DOI : https://doi.org/10.1007/s00354-023-00223-4 Impact Factor : 2.6
  23. Parul Yadav, Manish Gaur Nishat Fatima Saqib Sarwar Qualitative and Quantitative Evaluation of Multivariate Time-Series Synthetic Data Generated Using MTS-TGAN: A Novel Approach, Applied Sciences , , vol. 137, , 2023. DOI : https://doi.org/10.3390/app13074136 Impact Factor : 2.921
  24. Parul Yadav, Manik Chandra Nishat Fatima Saqib Sarwar, Aditya Chaudhary, Kumar Saurabh, and Brijesh Singh Yadav Predicting Influent and Effluent Quality Parameters for a UASB-Based Wastewater Treatment Plant in Asia Covering Data Variations during COVID-19: A Machine Learning Approach, Water, , vol. 154, , 2023. DOI : https://doi.org/10.3390/w15040710 Impact Factor : 3.530
  25. Parul Yadav, Manish Gaur, Nishat Fatima, Saqib Sarvar , Qualitative and Quantitative Evaluation of Multivariate Time-Series Synthetic Data Generated Using MTS-TGAN: A Novel Approach, Applied Sciences , , vol. 13(7)4136, , 2023. DOI : https://doi.org/10.3390/app13074136 Impact Factor : 2.921
  26. Shina Panicker, T.V. Vijay Kumar Divakar Yadav A Novel Transformation-Based E-Commerce Website Structure Optimization Model, IETE Technical Review, , , pp. 1-10, 2023. DOI : https://doi.org/10.1080/02564602.2023.2182835
  27. A Singh, and Y N Singh Cancelable Multibiometrics Template Security using Deep Binarization and Secure Hashing, nternational Journal of Pattern Recognition and Artificial Intelligence, , vol. TBA, pp. TBA, 2023. DOI : https://doi.org/10.1142/S0218001423560074
  28. Chandrabhan Singh, Mohit Gangwar Upendra Kumar Enhancing Feature Selection Accuracy Using Butterfly and Lion Optimization Algorithm With Specific Reference to Psychiatric Disorder Detection & Diagnosis, International Journal on Recent and Innovation Trends in Computing and Communication, Elsevier, , , pp. 107-114, 2023. DOI : https://doi.org/10.17762/ijritcc.v10i11.5786

2022

  1. Upendra Kumar, Pawan Kumar Tiwari Tejsavi Mishra Lalita Jaiswal and Safiya Ali Significant Enhancement of Classification Efficiency for Automated Traffic Management System., International Journal of Distributed Artificial Intelligence, , , pp. 1-16, 2022. DOI : DOI: 10.4018/IJDAI.291086 Impact Factor : NA
  2. Shubhi Srivastava, Ankit Kumar Anupam Singh Shiv Prakash, Arun Kumar An improved approach towards biometric Face Detection and recognition using Artificial Neural Network, Multimedia Tools and Applications, , , , 2022. DOI : https://doi.org/10.1007/s11042-021-11721-2
  3. Ankit Kumar, Santosh Kumar Shukla Eram Fatima Rakesh Kumar Yadav A Neoteric Procedure for Spotting and Segregation of Ailments in Mediciative Plants using Image Processing Techniques and AI, International Journal of Next-Generation Computing, , vol. 134, , 2022. DOI : https://doi.org/10.47164/ijngc.v13i4.965
  4. Aditi sharma, Classification of Swarm Collective Motion Using Machine Learning, ICHCSC 2022 ,Presents research works in the field of human-centric smart computing, , , , 2022.
  5. Sakshi Srivastava, ANIL KUMAR SINGH NA NA Fraud detection in the distributed graph database, CLUSTER COMPUTING , , vol. 266, pp. 515-537, 2022. DOI : 10.1007/s10586-022-03540-3 Impact Factor : 2.303
  6. Jianbin Wu, Sami Ahmed Haider Manish Bhardwaj Aditi Sharma Blockchain-Based Data Audit Mechanism for Integrity over Big Data Environments, Security and Communication Networks, , vol. 2022, , 2022. DOI : https://doi.org/10.1155/2022/8165653
  7. Yahya Alqahtani, Umakant Mandawkar Aditi Sharma Breast Cancer Pathological Image classification based on Multi-scale CNN squeeze Model, VLSI Design, Hindawi Publication, , vol. 2022, , 2022. DOI : https://doi.org/10.1155/2022/7075408 Impact Factor : 3.120
  8. A Singh, and Y N Singh Cancelable Multibiometrics using Random Projection and Fuzzy Quantization for Template Protection, Journal of Intelligent & Fuzzy Systems, , vol. 433, pp. 3155-3177, 2022. DOI : 10.3233/JIFS-212814
  9. R Srivastva, Y N Singh and A Singh Statistical Independence of ECG for Biometric Authentication, Pattern Recognition, , vol. 127108640, pp. 1-14, 2022. DOI : https://doi.org/10.1016/j.patcog.2022.108640
  10. Chandrabhan Singh, Upendra Kumar Mohit Gangwar A Paradigm Shift in Diagnosis of Mental Health Problems Towards Integrated Methods of Soft Computing, Journal of Optoelectronics Laser, , , pp. 126-130, 2022.
  11. Esha Tripathi, Upendra Kumar Surya Prakash Tripahi Image splicing detection system using intensity-level multi-fractal dimension feature engineering and twin support vector machine based classifier, Multimedia Tools and Applications, , , , 2022. DOI : 10.1007/s11042-022-13519-2
  12. Pooja Yadav, Raghuraj Suryavanshi Divakar Yadav Rigorous Design of Fault Tolerance and Recovery Algorithm for Disaster Management and Relief Distribution System using Event-B, Journal of Scientific and Industrial Research, , , pp. 518-529, 2022.
  13. Sudhani Verma, Divakar Yadav Girish Chandra Introduction of Formal Methods in Blockchain Consensus Mechanism and Its Associated Protocols, IEEE Access, , , pp. 66611 - 66624, 2022. DOI : 10.1109/ACCESS.2022.3184799
  14. Harshita Rai, Shashi Prakash Tripathi Dr Tulika Narang TransCRF-A Hybrid Approach for Adverse Event Extraction, 3rd Doctoral Symposium on Computational Intelligence, , , , 2022.
  15. Parul Yadav, Brijesh Singh Yadav Modelling of Support Vector Machine for Intrusion Detection System in Ad-hoc Networks using R Programming, Lecture Notes on Networks & Systems, , , pp. 1-10, 2022.
  16. Parul Yadav, Aditya Chaudhary Anand Keshari Nitish Kumar Chaudhary, Priyanshu Sharma, Kumar Saurabh, Brijesh Singh Yadav Data Visualization of Influent and Effluent Parameters of UASB-based Wastewater Treatment Plant in Uttar Pradesh, International Journal of Advanced Computer Science and Applications, , , pp. 598-606, 2022. DOI : http://dx.doi.org/10.14569/IJACSA.2022.0130271
  17. Dr Aditi Sharma, Large scale textual datasets and deep learning for the prediction of depressed, 2022, , , , 2022. Impact Factor : 3.6

2021

  1. Naveen Kumar, Sanjay Kumar Yadav Divakar Singh Yadav An Approach for Documents Clustering using K-Means Algorithm, Advances in Science, Technology & Innovation , , , , 2021. DOI : https://doi.org/10.1007/978-3-030-66218-9_54
  2. Dr Aditi Sharma, Smart Sensor Networks: Review Of Clustering And Optimization Techniques, Proceedings of the SMART-2021, IEEE Conference ID: 52563 10P Interational Conference on System Modeling & Advancement in Research Trends, 10-11 December, 2021 Faculty of Engineering & Computing Sciences, Teerthanker Mahaveer University. Moradabad, India , , , , 2021.
Title Duration Status Type
Data Visualization Using R - National Workshop
Mobile Application Development using Android Programming - National FDP
Advanced Digital Image Processing Technique - National FDP
Soft Computing Approaches and its Applications - National FDP
Python and its Applications with IOT - National Workshop
Machine Learning using Python - National Workshop
Python Programming & Django Framework - National Workshop
Support Vector Machines for Classification and Regression Problems - National Expert Lecture
Large Scale Least Squares Non-parallel SVM - National Expert Lecture
UI Designing and Programming - National Short Term Course