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/

Department of Computer Science & Engineering

 

The computer labs in the CSE department are equipped with high-quality computers and software with good configurations. Students, faculty, and staff all have access to these labs, which offer various tools and technologies for a wide range of tasks such as creating websites, editing documents, completing class assignments, sending emails, conducting data analyses, and accessing library resources. Microsoft Windows software is available for word processing, statistics, spreadsheet work, and database management. Furthermore, a wide selection of other software programs are also available for use. The department consists of multiple labs, and the specifics of each lab are outlined below:

 

Lab (#105)-CN/ OOPS LAB

CN/ OOPS Lab has computers of configuration: 

1)DELL Desktop Intel Core™ 10700 CPU @2.90 GHz, i7 10th Generation, 8GB DDR4 RAM, 1TB HDD, keyboard, Optical USB Mouse, TFT Monitor -(Qty 28 PCs)                                                  

2)Server Dell Poweredge T430, Intel Xeon CPU ES-2604 V4 @1070 GHZ Processor, 16 GB RAM, 3TB HDD SATA, Optical Mouse, Keyboard, TFT- (QTY-01)

Computer Networking lab:

During the odd semester, the department conducts practical sessions on computer networks, which refer to the interconnection of computing devices capable of sharing resources and exchanging data. To transmit information over physical or wireless technologies, these networked devices employ a set of rules known as communication protocols. For the implementation of various programs based on computer networking, students are required to use Network Simulator NS 3.24.1 in conjunction with the Ubuntu 18.4 operating system.

Object Oriented Programming

During the odd semester, practical sessions on OOPS (Object-Oriented Programming) are conducted in the lab. The purpose of this lab is to solidify students' comprehension of fundamental object-oriented programming concepts, such as objects, classes, subclasses, and methods, and their implementation in C/C++. Additionally, it offers an opportunity to practice non-object aspects of C++ (such as loops and conditionals) using Turbo C++.





 

C:\Users\LG-12-02\Desktop\Pics for website\105 new.jpeg

CN/ OOPS LAB VIEW

Lab (#05)-OPERATING SYSTEMS LAB

Operating system Lab has computers of configuration:

DELL OptiPlex 5080 Desktop PC (Intel Core i7-10700 / 8 GB DDR4 RAM / 1TB 7200 RPM Hard Disk / Integrated Graphics Card (2 GB) / Wi-Fi enabled / DVD RW/ USB- Keyboard & Mouse / 19.5 LED TFT) (Qty- 20)                                                                                                                                                                                                    

Operating systems:

The goal of this course is to have students understand and appreciate the principles in the design and implementation of operating systems software. 

OPERATING SYSTEMS LAB VIEW

Lab#106-A-‘PROJECT/ DMBI LAB’

Project /DMBI LAB has computers of configuration: 

DELL 3268 Vostro Desktop PC Configuration Core i5 7th Gen/ 4GBDDR4 RAM/ 1TB SATA/ DVD RW/USB Keyboard USB Mouse/ 18.5 LED TFT - (Qty 30)

Project Lab

The Department of Computer Science and Engineering houses a dedicated lab that is exclusively reserved for project work. This lab is specifically intended for use by final year students. It comprises computer systems with high-end configurations and licensed software that are relevant to the students' project requirements. All computers in the lab are equipped with internet connectivity, and UPS power backups and antivirus and other softwares are also installed based on the final year project group's demands. In addition, any necessary networking hardware and software are provided as needed.

DMBI LAB

During the odd semester, practical sessions on DMBI (Data Mining and Business Intelligence) are conducted in the lab. The primary objective of this lab is to educate students on the implementation of classical models and algorithms in data warehousing and data mining. It also aims to illustrate the types of patterns that can be identified through association rule mining, classification, and clustering. Towards the end of the lab, students are expected to compare and contrast different conceptions of data mining.C:\Users\LG-12-02\Desktop\Pics for website\106 A.jpeg

PROJECT/ DMBI LAB View

Lab#106-B-‘STQA/ PPL LAB’

STQA/ PPL LAB  has computers of  configuration: 

DELL 3268 Vostro Desktop PC Configuration Core i5 7th Gen/ 4GBDDR4 RAM/ 1TB SATA/ DVD RW/USB Keyboard USB Mouse/ 18.5 LED TFT - (Qty 30)

STQA LAB

During the odd semester, practical sessions on STQA (Software Testing and Quality Assurance) are conducted in the lab. The primary aim of this lab is to educate students about software testing, which plays a vital role in ensuring that software applications or products meet business and user requirements. Good test coverage is essential to thoroughly test the software application and ensure that it performs well and meets specifications.

In the lab, students are taught how to conduct practical tests on SmartBear software, which is used to ensure software quality and optimize the software development process.

PPL LAB

During the even semester, PPL (Programming Principles and Languages) lab is conducted. The lab's primary aim is to familiarize students with the concepts of syntax, translation, abstraction, and implementation. Additionally, it aims to teach students about data, data types, and basic statements. Practical sessions for PPL lab are conducted using various programming environments such as Turbo C++, VC Code, etc., which allow students to practice coding and apply the concepts learned in the lectures.

C:\Users\LG-12-02\Desktop\Pics for website\106 B.jpeg

STQA/ PPL LAB View

Lab#102-‘ADA/DBMS Lab’

ADA /DBMS Lab has computers of configuration:

1.) ACER P-V Core i5 processor, 2nd generation, CPU @3.0 GHz, 4GB DDR3 RAM,500 GB HDD, DVD R/W, Keyboard, Optical Mouse, TFT 18.5 Color Monitor- (Qty 27 Pcs)                                                                                                                                      

 2.) Wipro - Intel Core™ 2 Duo CPU @2.80 GHz, 2 GB RAM, HDD-320 GB SATA, DVD R/W, Mouse, Keyboard, Monitor TFT-(Qty 01 PCs)                                                                        

3.) IBM X -Series 226, 84648 Xeon, CPU @ 3.0 GHz, 1 GB RAM, HDD 73 GB HOT SWAP, CD ROM, Keyboard, Mouse, TFT Monitor-(Qty 01)

Analysis and Design of Algorithms lab:

During odd semesters, the lab on Analysis and Design of Algorithms is conducted. This lab serves as an introduction to the fundamentals of computational complexity analysis and various algorithm design techniques. The lab aims to impart knowledge on both the underlying mathematical theory and practical considerations of efficiency.

To implement the algorithms, the lab requires the use of Turbo C7, which is a widely used programming environment that enables students to practice coding and apply the concepts learned in the lectures.

DBMS Lab

During the even semester, the lab on Database Management Systems (DBMS) is conducted. The primary objective of this lab is to provide students with an opportunity to apply the concepts learned in the DBMS subject. In this lab, students develop a database using Oracle11g, which is a widely used database management system, to implement various SQL-based queries. By practicing database design and implementation, students gain hands-on experience and develop practical skills in database management.

C:\Users\LG-12-02\Desktop\Pics for website\102 new.jpeg

ADA/DBMS LAB VIEW

 

LAB#402-‘JAVA LAB’

 

Java Lab has computers of configuration:

1.)Acer System:- (Acer I-5, 2320 CPU, 3GHZ, 4 GB DDR# RAM, 500GB HDD(SAT A), Optical Mouse, Keyboard, LCD Screen with APC UPS) (Qty 22 PCs)                                                                                                                                           2.) Wipro – Intel Core 2 Duo 2.8 GHz, 2 GB  RAM, 320 GB SATTA HDD,  DVD Writer,10/100 Kbps LAN,  Keyboard,  Optical Scroll Mouse, 15.6” TFT Color Monitor (Qty-01)                                                                                                                                                                  

Java Lab

This lab provides an overview of the Java programming language, covering its basics such as inheritance, virtual function calls, and the underlying mechanisms that support them. All the experiments in this lab are conducted using JDK (Java Development Kit) software, which provides an integrated development environment for writing, debugging, and executing Java programs. Through this lab, students gain a solid understanding of Java's fundamentals and develop practical skills in programming with Java.

 

FOC Lab

JAVA LAB VIEW


 

LAB#101-DATA STRUCTURES / WEB ENGG. LAB

 

DS / Web Engg. Lab have computers of configuration:

1.)Hp – Intel Core2duo 2.93 GHz, 4 GB RAM, 500 GB SATA HDD,

DVD Writer, on board LAN, Keyboard, Optical Mouse, 18.5” TFT Color Monitor. (Qty 18 PCs)                                                                                                                                                2.) Wipro - Intel Core™ 2 Duo CPU @2.80 GHz, 2 GB RAM, HDD -80/320 GB SATA, DVD R/W Writer, Mouse, Keyboard. Monitor TFT-(Qty =11 PCs)                                                                                                         3.) HCL- Intel Core2duo 2.2 GHz, 1.5 GB RAM, 80 GB SATA HDD, 52X CD ROM, HCL Keyboard,  Microsoft USB optical Mouse, 15.6” wipro TFT (Qty-01)   

DATA STRUCTURES LAB:

The laboratory is currently being utilized for conducting different subjects in a way that maximizes the use of resources. During the odd semester, the Data Structure (DS) lab is carried out in this space. The DS lab necessitates the use of Turbo C7 for the implementation of various data structure algorithms.

WEB ENGG. LAB

During the even semester, the Web Engineering lab is conducted in this laboratory. In this lab, students learn to analyze the elements and attributes of a web page, create web pages using XHTML and Cascading Style Sheets, build dynamic web pages using JavaScript for client-side programming, and generate XML documents and Schemas.

C:\Users\LG-12-02\Desktop\Pics for website\101.jpeg

DS / WEB ENGG. LAB VIEW

 

LAB#104-‘SOFTWARE ENGINEERING / MACHINE LEARNING LAB’

 

SE / ML Lab has computers of configuration:

1.)HCL Intel Core 2 duo , 2.21 GHz Processor, 1 GB RAM, 80 GB HDD, 52X CD ROM, HCL Keyboard, HCL Optical Mouse, 10/100 KBps LAN Card, ATX Cabinet, HCL 15” Color Monitor (Qty 01 PC)
2.)Wipro - Intel Core™ 2 Duo CPU @2.80 GHz, 2 GB RAM, HDD -80/320 GB SATA, DVD R/W Writer, Mouse, Keyboard, Monitor TFT-(Qty 27 PCs)
 

Software Engineering Lab

During the odd semester, the SE lab is conducted with the objective of providing students with practical experience in various areas of software engineering and UML. These areas include identifying requirements, creating DFDs, designing behavior and structure using UML diagrams, implementation, testing, and more. Throughout the semester, students will work on an assigned project to gain a better understanding of the software development process in real-life scenarios. Practical sessions are conducted using Star UML.

Machine Learning Lab

During the even semester, the ML lab is conducted, serving as a central hub for data science teams to develop, deploy, and operate machine learning solutions at scale. The lab utilizes the Weka tool for the execution of machine learning programs.

C:\Users\LG-12-02\Desktop\Pics for website\104 new.jpeg

SE /ML LAB VIEW

 

Lab-224-‘INFORMATION SECURITY/ MOBILE COMPUTING LAB’

 IS/ MC LAB has computers of configuration:

1.)HP – Intel Core2duo 2.93 GHz, 4 GB RAM, 500 GB SATA HDD, DVD Writer, on board LAN,  Keyboard,  Optical Mouse, 18.5” TFT Color Monitor.(QTY-10)                                                                                          2.)ACER P-V Core i5 processor, 2nd generation, 3.0 GHz, 4GB DDR3 RAM,500 GB HDD, mouse, keyboard and TFT color monitor.(QTY-07)                                                                                                                                 3.)Wipro –Intel Core 2 Duo 2.8 GHz, 2 GB  RAM, 320 GB SATTA HDD,  DVD Writer,10/100 Kbps LAN,  Keyboard,  Optical Scroll Mouse, 15.6” TFT Color Monitor.(QTY-2)                                                                                                                              

INFORMATION SECURITY

The purpose of this laboratory is to offer students research opportunities focused on data transmission security and data recovery. Additionally, the lab investigates the complexities associated with threats to data transmission security.

MOBILE COMPUTING LAB

The Mobile Computing Lab (M-Lab) explores the potential of using mobile and wireless computers and sensors to tackle various pressing issues in fields such as healthcare, conservation, transportation, education, and beyond.

IMG_20240228_134103.jpg

IS/ML LAB VIEW

Details of Subjects Taught:

S.NO.

Lab

SUBJECT

SEM

SOFTWARE

ODD SEMESTER

1.

ADA/ DBMS LAB

ADA

(ETCS 351)

5th 

Turbo C7

2.

SE / ML LAB

SE

(ETCS-353)

5th 

Star UML 5

3.

DS / WE LAB

Data Structures

(CIC-255)

3rd 

Turbo C7

4.

JAVA LAB 

OOPS (CIC-257)

3rd 

Turbo C7

5.

CN/ OOPS LAB

Java (CIC-258)

5th 

JDK

6.

STQA/ PPL LAB

STQA (ETCS-454)

7th

Smart Bear

7.

IS/ MC Lab

IS(ETCS 451)

7th 

Turbo C7

8.

Project Lab/ DMBI LAB

Minor Projects (ETCS-461)

7th 

As per requirement
of students

EVEN SEMESTER

9.

ADA / DBMS lab

DBMS

(CIC- 256)

4th 

Oracle 11g

10.

SE/ML LAB

ML (ETCS-454)

8th 

WEKA

11.

IS/ MC Lab

MC(ETIT-455)

7th 

Turbo C7

11.

 DS / WE Lab

 Web Tech.

(CIE-356)

6th 

Notepad++ ,  Java, Tomcat server

12.

JAVA Lab

JAVA (CIC-258)

4th 

Java , Turbo C7

13.

CN/ OOPS Lab

CN (ETCS-354)

6th 

CISCO Packet Tracer

14.

Project Lab/ DMBI LAB lab

DMBI (ETCS-457)

8th 

WEKA

15.

STQA/ PPL LAB

PPL ( ETCS-458)

8th 

 Turbo C7

16.

Operating System Lab

OS (ETCS-352)

6th 

Turbo C7

 

Dr. Geetika Dhand
Associate Professor | HOD | 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. Naveen Dahiya
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. Koyel Datta Gupta
Professor | Ph.D., M.Tech., B.Tech.

[email protected]

Dr. Koyel Datta Gupta is a professional with an experience of 19+ years in academics. Her areas of research include Network Security, IoT, Blockchain and Machine Learning. Dr. Koyel Datta Gupta is currently working as Professor in Maharaja Surajmal Institute of Technology (MSIT) (under the GGSIP University), New Delhi. She has published more than 30 research papers in reputed Journals like IEEE Transactions on Green Communications and Networking, Expert Systems, Computers and Electrical Engineering, 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. Rinky Dwivedi
Professor | 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. Naresh Kumar
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. 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]

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

Dr. Nishtha Jatana
Associate 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

Dr. Vimal Gaur
Associate Professor | Ph.D, M.Tech.(IT), B.Tech.

[email protected]

Dr. Vimal Gaur with over 19 years of academic experience specializes in areas such as Network Security, IoT, Blockchain, and Machine Learning. Currently serving as a Associate Professor at Maharaja Surajmal Institute of Technology (MSIT) in New Delhi under GGSIP University, she has authored research papers in esteemed journals. She serves as a reviewer for numerous international conferences and journals, and also takes on the role of a session chair in various conferences.

Vidwan Id- 241010

Detailed Profile

Dr. Sangeeta
Associate 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

Dr. Sapna Malik
Associate 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

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

[email protected]

Dr. 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

Dr. Pooja Kherwa
Assistant Professor | Ph.D, 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

Dr. Navdeep Bohra
Assistant Professor | Ph.D,M.Tech., B.Tech.

[email protected]

Dr. 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. 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

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. 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

Dr. Poonam
Assistant Professor | Ph. D, 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

Dr. 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

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Dr. Divya
Assistant Professor | Ph.D , 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

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Dr. Neeti Sangwan
Assistant Professor | Ph.D,M. Tech., B.Tech.

[email protected]

Dr. 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

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Dr. Parul Chaudhary
Assistant Professor | Ph.D, 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

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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

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

Dr. Vikrant Shokeen
Assistant Professor | Ph.D, M.Tech., B.Tech.

[email protected]

Dr. 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

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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 2 years 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. Vaani Garg
Assistant Professor | M.Tech, B.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.

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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, Haryana. She has more than 2 years of teaching experience.

Vidwan Id : 281984

Detailed Profile

Ms. Indu khatri (Ad-hoc)
Assistant Professor | M.Tech.,B.Tech

Pursuing PhD from DTU and have 9 yrs of experience.Primary research interest is Artificial intelligence and machine learning.Currently doing research on "Link Prediction in social media analysis using machine learning".

 

Detailed Profile

Dr. Medhavi Malik (Ad-hoc)
Assistant Professor | Ph.D., M.Tech., B.Tech.

Name of the Faculty: Dr. Medhavi Malik

Designation: Assistant Professor

Qualification: Ph.D (CS)

Area of Expertise:Computer Networks, Cloud Computing,  Mobile Computing.

Phone:011-45037193

 

Detailed Profile

 

 

 

 

S.No. Name of the Staff Member Designation
1 Ms. Rashmi Tech. Assistant
2 Ms. Bhawna Kulshrestha Tech. Assistant
3 Mr. Sanjeev Tech. Assistant
4 Ms. Muskan Tech. Assistant
5 Ms. Neelima Tech. Assistant
6 Ms. Manju Tech. Assistant
7 Ms. Mamta Tech. Assistant
8 Mr. Rakesh Sharma Tech. Assistant
9 Ms. Seema Goel Tech. Assistant

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