Computer Science and Engineering (NBA Accredited)


The Computer Science and Engineering Department was established in the year 2001 with the vision to offer Bachelor of Engineering degree in Computer Science & Engineering and impart world class education to the students. A group of well qualified, experienced and highly motivated faculty is engaged in providing quality education to the future computer engineer and keeping them abreast of the fast technological development.

The well equipped laboratories help students to meet ever increasing technological and social challenges with its traditions of self discipline, hard work and a creative approach to solve exigent issues. In addition the Department regularly organizes a series of lectures by academicians and professionals of the highest repute, which lay stress on the latest innovative technologies in the field of Computer Science and Engineering and Information Technology.

VISION

To maintain academic excellence aiming to produce competent technocrats imbibed with ethical values to serve the national emerging technological needs.

 

MISSION

M1: To impart quality engineering education to the students by providing effective teaching learning, research and application based innovative environment.

M2: To inculcate creativity team-spirit, leadership and ethical competence through continuous collective curricular, co-curricular and extracurricular activities.

 

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

PEO1: To acquire a deep insight in mathematical, scientific & analytical skills and adopt self-motivating lifelong learning to explore cutting edge technologies.

PEO2: To evolve as responsible citizen having sense of ethics and environment aware attitude.

PEO3: To acquire necessary technical knowledge to pursue successful professional career posing leadership and team spirit.

 

PROGRAM OUTCOMES (POs)

Engineering Graduates will be able to:

  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  1. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  1. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  1. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  1. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  1. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  1. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and the need for sustainable development.
  1. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  1. Individual and teamwork: Function effectively as an individual, and as a member or leader diverse teams, and in multidisciplinary settings.
  1. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  1. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  1. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

 

PROGRAM SPECIFIC OUTCOMES (PSOs)

  1. Ability to demonstrate the comprehended fundamentals of computer engineering to resolve mathematical and computational problems.
  2. Ability to explore evolutionary changes in computing by skills acquired through computer engineering principles and provide solution through innovative ideas.
  3. Ability to imbibe knowledge in modern computer environment and languages to gain additional skills for successful career and higher studies.

 

CSE Facebook Page 

     https://www.facebook.com/Csemsit-2004225629667348/?modal=admin_todo_tour

 

CSE MSIT ALUMINI

   https://www.facebook.com/groups/557388331376102/

Dr. Rinky Dwivedi
HOD | Ph. D, M.E., .B. Tech.

[email protected]

Dr. Rinky Dwivedi has an experience of 17+ years in teaching. She is extremely passionate about teaching and research. She has many scientific publications, book chapter and patents to her credit. Her research interest includes software engineering, Internet of Things and soft computing. She is the reviewer of many international conferences and journals.

Vidwan Id- 241399

Detailed profile

Dr. Koyel Datta Gupta
Associate Professor | Ph.D., M.Tech., B.Tech.

[email protected]

Dr. Koyel Datta Gupta is a professional with an experience of 17+ years in academics. Her areas of research include Network Security, IoT, Blockchain and Machine Learning. Dr. Koyel Datta Gupta is currently working as Associate Professor in Maharaja Surajmal Institute of Technology (MSIT) (under the IP University), New Delhi. She has published more than 30 research papers in reputed Journals like Expert Systems, ETT Wiley, Neural Processing Letters, Springer etc. She has also published in conferences proceedings and has also edited and authored books.

Vidwan Id- 240950

Detailed profile

Dr. Naveen Dahiya
Associate Professor | Ph. D., M.Tech., B.E.

[email protected]

Dr. Naveen Dahiya has done his Ph.D and M.Tech. from J.C. Bose Y.M.C.A. University of Science and Technology, Faridabad, Haryana. To his credit, he has a granted patent and publications in reputed journals with high impact factors. He has hosted special issues of various reputed journals in his role as a guest editor. His areas of interest are Data Analytics and Data Warehouse Design. 

Vidwan ID: 241950

Detailed Profile

Dr. Naresh Kumar
Associate Professor | Ph. D., M. Tech., B. Tech., UGC-NET, GATE Qualified

[email protected]

Dr. Naresh Kumar works on Information Retrieval using Web Crawlers, Search Engines and Meta search Engines. He uses algorithmic approach for retrieval of information. His main focus is on minimization of unwanted information from the retrieved data.

Vidwan Id- 241001

Detiled Profile

Dr. Priyanka Nandal
Associate Professor | Ph. D., M. Tech., B. E

[email protected]

Dr. Priyanka work is devoted to explore the importance of several nonlinear processes in order to understand the mechanism behind the observed phenomena in the regions of solar wind, magnetopause and radiation belts. Using numerical methods, the results are found consistent with the observations of THEMIS or CLUSTER spacecrafts. She has done efforts to speed up the simulation process using the techniques of parallel processing. Simulation was performed on a high performance computing hardware exploiting graphics processing unit (GPU) using NVIDIA's compute unified device architecture (CUDA) frameworks. She is also interested in the field of machine learning and deep learning.

Vidwan Id- 241004

Detailed Profile

Dr. Sandeep Kumar
Associate Professor | Ph. D.,M. Tech., B. Tech., PGDBM

[email protected]

Dr. Sandeep Kumar works on data mining, image processing and related area problems. He mainly uses open-source technologies in tackling the problems. The  focus of work is towards combing the technological aspects computer engineering with that of day-to-day real-life challenges. Dr. Sandeep Kumar has received Top Mentor award for IBM TGMC 2013 on 15th October 2014 at IBM TGMC Felicitation ceremony conducted at CMR Institute of Technology, Bangalore.

Vidwan Id- 241013

Detailed Profile

Dr. Kavita Sheoran
Associate Professor | Ph.D., M.Tech.(IT), B.Tech.

[email protected]

Dr. Kavita Sheoran has worked on component based  Software Engineering during her doctoral degree. She has a number of papers in well-known journals to her credit. She is also working on various models of Machine Learning. She is a keen learner and has attended more than 30 Faculty development programs and seminars to keep her up to date on the most recent technological advancements and transformations. She has committed her life to impart good quality education to the students  . She is eager to embark on new research projects in the future.

Vidwan Id-  241003

Detailed Profile

Dr. Geetika Dhand
Associate Professor | Ph. D., M.Tech. (IT), B.Tech.

[email protected]

Dr.Geetika Dhand has worked on energy efficient and secure routing protocols in Wireless Sensor Network during her doctoral degree. She is also working on various models of Machine Learning. She has published various papers in good reputed journals . She is a keen learner and has attended more than 30 Faculty development programs and seminars to keep her updated with the latest technology innovation and transformation. She is keen to work on more upcoming research areas. She has committed her life to impart the best quality education to the students and teaching them the importance of ethics, values, and principles in all facets of life.

Vidwan Id-  240999

Detailed Profile

Dr. Amita Yadav
Associate Professor | Ph. D., M.Sc., M.Tech.

[email protected]

Dr. Amita works on Green Computing through energy efficiency in Wireless sensor networks. She is particularly interested in routing protocols, power administration, and information dissemination protocols. Her research interest mainly in the area of Wireless Sensor networks, Data Mining and Network Security.

Vidwan Id- 241017

Detailed Profile

Dr. Savita Ahlawat
Associate Professor | Ph.D., M.Tech.(IT), B.E.

[email protected]t.in

Dr Savita Ahlawat is an Associate Professor in Department of Computer Science and Engineering in Maharaja Surajmal Institute of Technology, Delhi. She holds 17 years of academic experience. She has authored many peer reviewed research articles in international journals and conferences. Her research interests are in Pattern Recognition, Artificial Intelligence, Text Information Extraction and Machine Learning.

Vidwan Id- 241471

Detailed Profile

Ms. Vimal Gaur
Reader | M.Tech.(IT), B.Tech.

[email protected]

Vimal Gaur received the B.Tech degree in Computer Science and Engineering from N.C. College of Engineering affiliated to Kurukshetra University, in 2003 and the M.Tech degree in Information Technology from Guru Gobind Singh Indraprastha University, New Delhi in 2007, where she is currently pursuing Ph.D. degree from CSE Dept. MMEC, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala-133207. She has been awarded as IEEE outstanding branch counselor (Region-10) in the year 2012. Her research interests include cyber security using techniques of machine learning.

Vidwan Id- 241010

Detailed Profile

Dr. Sapna Malik
Assistant Professor | Ph. D., M.Tech, B.E.

[email protected]

Dr. Sapna Malik is having an experince of 15 years in teaching and Research. She  pursed Bachelor of Engineering  from M.D.University,Rohtak in 2004, Master of Technology from   GGSIPU University,Delhi in 2009 and Ph.D. from Ansal University,Gurgaon, in 2018. She is working as Assistant Professor in Department of Computer Science & Engineering ,MSIT,Delhi,India since 2006. She is life time member of ISTE. She has published more than 30 research papers in reputed international journals including Thomson Reuters (ESCI & Scopus) and conferences including IEEE,Springer,Elsevier.Her main research work focuses on Mobile Security, Cryptography Algorithms, Network Security, Cloud Security and Privacy, Data Mining, IoT and Computational Intelligence based education.

Vidwan Id- 241007

Detailed Profile

Ms. Vinita Rohilla
Assistant Professor | M.Tech., B.E.

[email protected]

She works on problem statement of Machine Learning. She is interested in doing research projects related to Location based Advertising. She uses the concepts of Data Science, Computer Vision, Web development. She has also implemented the concepts of geo-fencing and created a notification application.

Vidwan Id- 241014

Detailed Profile

Ms. Shaily Malik
Assistant Professor | M.Tech., B.E.,

[email protected]

Shaily Malik is a professional with an experience of 15+ years in academics. Her areas of research include information retrieval using semantic similarity Measures, Cross Modal Retrieval and Machine Learning. She is currently working as Assistant Professor in Maharaja Surajmal Institute of Technology (MSIT) (under the GGSIP University), New Delhi. She has published 2 Patents and 10 research papers in reputed Journals and conferences.

Vidwan Id- 240998

Detailed Profile

Dr. Shalu
Assistant Professor | Ph.D,M.Tech.(IT), B.E.

[email protected]

Her research area includes the use of Swarm Optimization techniques for improving the quality of service in Wireless Sensor Networks (WSN). She focuses on design and simulation of Swarm based coverage holes detection and recovery protocols for WSN. She also has an exposure to realization of test bed (iSense).    

Vidwan Id- 241002

Detailed Profile

Dr. Sonia Rathee
Assistant Professor | Ph. D., M.Tech., B.E.

[email protected]

Sonia Rathee is in the department of CSE at MSIT since 2007. She obtained her Ph.D. degree in Computer Science from U.I.E.T, M.D.U, Rohtak in 2019. She has about 14 years of teaching and research experience. Her interests are in all fields of Artificial Intelligence, Spatio-temporal Database, Operating System including GIS, Data analytics, Text Mining. Recently she is working in Location Based Services and Social Networks Analysis. She has published more than 15 research article in various international journals/conferences and in book of international repute as book chapters. She has also reviewed papers in various journals and conferences. She has successfully supervised many 4th Year Students. She has excellent time management skills; can amicably coordinate with co-professors in order to develop new programs to enhance the abilities of the students in the computer courses.

Vidwan Id-  241006

Detailed Profile

Mrs. Pooja Kherwa
Assistant Professor | M.Tech., B.E.

[email protected]

Pooja Kherwa is an assistant professor in Maharaja Surajmal Institute of Technology, New Delhi. She received her M. Tech in information Technology from Guru Govind Singh Indraprastha University; Dwarka, New Delhi in 2010.Currently she is pursuing her PhD from Guru Govind Singh Indraprastha University, Dwarka- New Delhi. Her research interest includes Topic Modeling, Sentiment Analysis, Machine Learning.A talented professional who has superb teaching skills developed as a result of over 15 years of extensive experience in teaching computer science-related subjects and concepts to engineering graduate students. She has extensive research experience in topic modeling and published more than 15 research article in various international journals/conferences and in book of international repute as book chapters. She is the most read researcher of the department as per research gate, and was most read researcher of the institution for more than 6 consecutive months in 2020.She has also reviewed papers in various SCIE/ESCI/Web of science journals. She has got certification of Appreciation for supervising graduate students in Inter College B. Tech. Project competition and winning Best Project of Computer Science in GGSIPU 2014. She has excellent communication and rapport with students which makes learning easier for them and much more fun.

Vidwan Id - 243726

Detailed Profile

Mr. Navdeep Bohra
Assistant Professor | M.Tech., B.Tech.

[email protected]

Navdeep Bohra is a professional with an experience of 15+ years in academics and industry. His areas of research include Popularity Prediction, Machine Learning. Navdeep Bohra is currently working as Assistant Professor in Maharaja Surajmal Institute of Technology (MSIT) (under the GGSIP University), New Delhi. He has granted 1 Patent and published 3 research papers in reputed Journals like Springer etc. He has also published in conferences proceedings.

Vidwan Id- 241019

Detailed Profile

Mr. Sushil Kumar
Assistant Professor | M.Tech., B.Tech.(IT)

[email protected]

Sushil kumar has an overall experience of 13+ years in Academics. He received his B.Tech (IT) and M.Tech in Computer Science and Engineering from MMEC, Mullana, Amabala. His research interests are in the fields of Machine Learning, Image Processing and Computer Vision.

Vidwan Id- 241005

Detailed Profile

Dr. Adeel Hashmi
Assistant Professor | Ph. D., M. Tech, B.Tech.

[email protected]

Dr. Adeel Hashmi has done his Ph.D from Jamia Millia Islamia and BTech. & M.Tech. from GGSIPU. He has 7 papers indexed in SCIE/ESCI/Scopus. His areas of interest are Machine Learning, Deep Learning and Big Data. 

Vidwan ID: 242663

Detailed Profile

Dr. Nishtha Jatana
Assistant Professor | Ph.D,M.Tech. (CTA), B.Tech.

[email protected]

Dr. Nishtha worked on Software Testing using metaheuristic techniques during her doctoral degree. She has recently started working in the area of Assistive Technologies for visually disabled people. She has also worked in the area of Machine Learning algorithms. She is keen to work on more upcoming research areas. She remains enthusiastic about managing, organizing and handling responsibilities and works diligently for betterment of the Institute.

Vidwan ID: 241879

Detailed Profile

Ms. Divya
Assistant Professor | M. Tech., B.Tech.

[email protected]

Divya is a professional with an experience of 10+ years in academics. Her areas of research include Popularity Prediction, Natural Language Processing, Data Analytics and Emerging Technologies. She is currently working as Assistant Professor in Maharaja Surajmal Institute of Technology (MSIT) (under the GGSIP University), New Delhi. She has published several research papers in reputed Journals and conferences.

Vidwan Id- 241008

Detailed Profile

Ms. Neeti Sangwan
Assistant Professor | M. Tech., B.Tech.

[email protected]

Neeti Sangwan is a professional with an experience of 9+ years in academics. She is currently working as an Assistant Professor in Maharaja Surajmal Institute of Technology, New Delhi. Her area of research includes Data Analytics, Machine Learning. She has published various research papers in reputed journals and conference proceedings. She has one patent granted to her.

Vidwan ID: 244219

Detailed Profile

Ms. Poonam Dhankhar
Assistant Professor | M. Tech. (SE), B. Tech.

[email protected]

Ms. Poonam Dhankhar works on image processing. She has great interest in the field of data analytics and deep learning. She believes teaching is not just about imparting knowledge through curriculum it is rather a two way process which makes you aware of  trending fields of research and technology.

Vidwan ID: 242473

Detailed Profile

Ms. Gunjan Beniwal
Assistant Professor | M. Tech., B. Tech. (IT)

[email protected]

Ms. Gunjan is currently working in the field of Internet of Things (IoT), particularly in Fog Computing. She possesses good knowledge of algorithm design and diligently performs all the duties and responsibilities while actively participating in technical and cultural activities.

Vidwan ID: 243313

Detailed Profile

Mr. Ravi Choudhary
Assistant Professor | M.Tech (PC), B.Tech.

[email protected]

He works in the field of advanced control systems design and simulation. He is interested in modelling and simulation of projects based on matlab coding and Simulink environment. He has worked on different types of two port networks and interconnected systems. He is working on interconnected power systems with Renewable Energy.

Vidwan ID: 243397

Detailed Profile

Dr. Dinesh Sheoran
Assistant Professor | Ph. D., M.Tech., B.E.

[email protected]

Dinesh Sheoran (Ph.D. Uttarakhand Technical University, Dehradun) is an Assistant Professor at  Maharaja Surajmal Institute of Technology New Delhi. His research interests include biometric and speaker recognition, voice recognition and waste management. He taught subjects like Communication System, Digital Communication, VLSI, Digital Electronics, STLD, and Consumer Electronics.Before joining the faculty at Maharaja Surajmal Institute of Technology, He served at different levels in the electrical and electronics industry.

Vidwan Id- 243571

Detailed Profile

Ms. Swati Malik
Assistant Professor | M.Tech., B.Tech.

[email protected]

She has keen interest in teaching analog and digital communication systems, majorly focusing on advancements in modulation as well as demodulation techniques. Her particular area of interest lies in PAPR reduction techniques in MIMO-OFDM systems. In future, she has plans to research in designing of low power VLSI circuits.

Vidwan ID: 243375

Detailed Profile

Dr. Sangeeta
Assistant Professor | Ph. D., M.Tech.(CSE), B.Tech. (IT), UGC NET-JRF Qualified

[email protected]

Dr. Sangeeta is having an experience of 13 years in teaching and research. She has worked for 9 years in teaching and for 4 years as a JRF and SRF at DTU Delhi (full time research scholar). She is regressively working in the field of Soft Computing techniques along with the Software Reliability Modeling. She is using various optimization methods in order to make precise software reliability assessment. She is going to estimate the reliability of embedded software used in various applications and for this number of optimization algorithms has been proposed by her. She is particularly interested in problems that can only be tackled by a combination of modeling and analytic approaches.

Vidwan Id- 241009

Detailed Profile

Mr. Vikrant Shokeen
Assistant Professor | M. Tech. (IT), B. Tech.

[email protected]

Mr. Vikrant Shokeen works on the segmentation ,feature extraction, classification of  images . He uses various techniques like PCA, SIFT and SURF for feature extraction and SVM, LDA, KNN for classification. He is particularly interested in hybrid approaches like SVM integrated with Feed Forward Back Propagation Neural Network to create a hybrid algorithm that further helps in reducing the computation complexity of the classification. His present research area is focused on the factual findings of the potential usage of the combinational Feed-Forward Back Propagation Neural Network as a judgement making for Lung Cancer.

Vidwan Id- 241187

Detailed Profile

Ms. Sonica Upadhyay
Assistant Professor | M. Tech., B. Tech.

[email protected]

Ms Sonica Upadhyay is working as Assistant Professor in the department of Computer Science (MSIT). She has more than 5 years of experience in the field of academics. She has completed her Master's in Technology from Banasthali University and currently pursuing PhD. Her research interests lies in Big Data and Data analytics.

Vidwan Id-  241012

Detailed Profile

Ms. Poonam
Assistant Professor | M. Tech., B. Tech.

[email protected]

Dr. Poonam’s research areas include Digital Image Processing, Artificial intelligence and Digital Communication. She has published several research papers in these domains. She has taught various subjects like Electronic devices, Microprocessors & microcontrollers, Digital Communication, Analog Electronics, Satellite Communication etc. during her teaching career. She is also actively involved in the various Institutional & Departmental activities.

Vidwan Id- 243295

Detailed Profile

Ms. Anshul Pareek
Assistant Professor | M.Tech., B.Tech.

[email protected]

Ms. Anshul Pareek works on Vision Based Human Tracking using C++ and python. She deals with the development of robust vision-based human tracking algorithms for mobile robotic platforms. The main research area is to develop algorithms that are computationally inexpensive and are able to overcome real time challenges like pose change and out of plane rotations.

Vidwan Id- 243476

Detailed Profile

Ms. Parul Chaudhary
Assistant Professor | M.Tech., B. Tech., CSIR NET Qualified

[email protected]

Ms Parul Chaudhary works in the field of Energy Harvesting. She has analysed Triboelectricty and Piezoelectricity with a combination of simulations and analytic approaches. She is particularly interested in optimising harvested energy and prototyping models effective for real-time applications.

Vidwan Id- 243353

Detailed Profile

Ms. Jyoti
Assistant Professor | M.Tech , B.Tech

[email protected]

Ms. Jyoti is working as Assistant Professor in the Department of Computer Science Engineering. She has 1 year of experience in the field of academics. She has completed her B.Tech. and M.Tech. from Kurukshetra University, Kurukshetra. She has published two papers in Journal and Conference. She has attended many FDP, Workshops and Expert lectures on various topics like Machine Learning, Data Science, Python etc. Her research area includes Data Science, Computer Science & Machine Learning.

Vidwan Id - 260853

Detailed Profile

Ms. Kirti Dahiya
Assistant Professor | M.Tech , B. Tech

[email protected]

Ms. Kirti Dahiya is an Assistant Professor in the department of Computer Science(MSIT).She has completed her B.Tech in computer science from HMRITM, Delhi under GGSIP University and Master of Technology from HCE under DCRUST Murthal, Hariyana. She has more than 2 years of teaching experience.

Vidwan Id : 281984

Detailed Profile

Ms. Vaani Garg
Assistant Professor | B. Tech., M. Tech.

[email protected]

Ms. Vaani Garg completed her M.Tech from NIT, Uttarakhand and is currently pursuing her PhD from DTU. Her research areas include image processing, computer vision, pattern recognition and machine learning. She is currently working in the field of automatic video summarization and video content analysis. She has also cleared the UGC-NET examination for Computer Science and Applications.

Detailed Profile

 

 

 

 

S.No. Name of the Staff Member Designation
First Shift
1 Ms. Rashmi Tech. Assistant
2 Ms. Bhawna Kulshrestha Tech. Assistant
3 Mr. Deepak Rawat Lab. Assistant
4 Mr. Himanshu Solanki Lab. Assistant
5 Mr. Arun Kumar Thanku Lab. Assistant
Second Shift
1 Mr. Rajeev Kumar Tech. Assistant
2 Mr. Pradeep Kumar Lab. Assistant