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Information technology (NBA Accredited)
Information Technology is most prominent and rapidly developing field in todays world. To maintain speed with latest trends in Information Technology industry, our Information Technology department is fully empowered. Our fully air-conditioned laboratories contain sufficient number of computer systems with latest hardware and software configuration. Since IT is composed of data processing and transmission, we are having latest communication hardware and software with proper multimedia support to each system. A very high speed internet connection is there in the labs. Net surfing is provided to the students as per their requirements. Guest faculty specialized in respective fields of Information Technology are invited from time to time to keep students in touch with latest trends in technology and to broaden their spectrum of knowledge. All facilities in the labs are continuously examined and upgraded whenever required. The department has well qualified and experienced faculty for guiding students in right direction. Our aim here is to expose students to latest and growing technologies which help them to become highly skilled IT professional.
VISION
To build a culture of innovation and research in students and make them capable to solve upcoming challenges of human life using computing.
MISSION
M1 :To develop 'educational pathways' so that students can take their career towards success.
M2 :To imbibe curiosity and support innovativeness by providing guidance to use the technology effectively.
M3 :To inculcate management skills, integrity and honesty through curricular, co-curricular and extra-curricular activities.
PROGRAM EDUCATIONAL OBJECTIVES
PEO1. Graduates of IT program are prepared to be employed in IT industries and be engaged in learning, understanding, and applying new ideas.
PEO2. The graduates are prepared to perform effectively as individuals and team members in the workplace,growing into highly technical or project management and leadership roles.
PEO3. Graduates are prepared to apply basic principles of practices of computing grounded in mathematics and science for successfully completing software related projects to satisfy customer business objectives and productively engage in research.
PEO4. Graduates are prepared to pursue higher studies so that they can contribute to the teaching profession/research and development of information technology and other allied fields.
PROGRAM OUTCOMES
Engineering Graduates will be able to:
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- 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.
- 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.
- 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.
- 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.
- 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.
- Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work: Function effectively as an individual, and as a member or leader indiverse teams, and in multidisciplinary settings.
- 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.
- 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.
- 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 Outcome
PSO I: Ability to understandthe principles and working of hardware and software aspects in information technology.
PSO II: Ability to explore and develop innovative ideas to solve real world problem using IT skills.
IT MSIT ALUMINI
https://www.facebook.com/alumniItMSIT
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Dr. Tripti Sharma Dr. Tripti Sharma received her B.E., M. Tech and Ph.D degrees in Computer Science. She joined Maharaja Surajmal Institute of Technology, New Delhi in 2003. Her research interest includes wireless sensor network, adhoc networks and soft computing. She has many scientific publications, book chapter and patents to her credit. She is the reviewer of many international conferences and journals. She has received the Best Faculty Award in the year 2015 in MSIT. Vidwan Id - 244121 |
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Dr. Suman Mann Dr. Suman Mann has more than 18 years of teaching and research experience. Her key areas of research are data warehousing, data mining, artificial Intelligence and machine learning (data analytics). Data analytics is the process of transforming a raw data into useful and meaningful knowledge. She is particularly interested on new advances in artificial intelligence and machine learning to produce technology that will help automate each stage of the data analytics process. This technology will revolutionize the speed and efficiency with which data can be transformed into useful information and knowledge. Vidwan Id - 243472 |
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Dr. Prabhjot Kaur Dr. Prabhjot is an academically brilliant and professional teacher with 19+ years of teaching experience. She is passionate about research. She has been awarded PhD twice for her work in two different research areas. She authored and published 2 books, 7 Patents and 42+ research papers in reputed journals and conferences (SCIE:8, ESCI:3, Scopus:15). She has 371 citations with h-index:12 and i10 index: 14. Dr. Prabhjot is ranked among Top 2% Researchers in the World by Stanford University Global Ranking. Vidwan Id - 243446 |
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Dr. Anupama Kaushik Dr. Anupama Kaushik has an experience of 18+ years in teaching. She is extremely passionate about teaching and research. She has 20+ research papers to her credit and has published 5 patents and 1 book. She has received research excellence award on the Annual Day 2020. She is the reviewer of many international journals and conferences. Vidwan Id - 243291 |
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Mr. Manoj Malik Professional with a passion for inspiring students to achieve academic and personal success. Motivated faulty with over seventeen years’ experience in information technology department. Strong, dedicated faculty with determination to achieve high standards for organizations in research, management and professionalism. Strives to offer a demanding and exciting learning environment where students can grow as good human being for the rest of their lives. Vidwan ID: 243409 |
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Dr. Sonika Malik Sonika Malik has done B. Tech from Kurukshetra University, India in 2004 and did her Masters from MMU in 2010. She is doing her doctorate from National Institute of technology, Kurukshetra. She has served in the field of education from last 15 years and is currently working as an Assistant Professor in Maharaja Surajmal Institute of Technology, Delhi. Her current research interests are in the area of Semantic Web, Knowledge representation and Ontology Design. A talented professional who has good teaching skills developed as a result of 15 years of experience in teaching computer and IT related subjects and concepts in engineering graduate students. She has extensive research experience in semantic web and published 10 research articles in various international journals/conferences and in book of international repute as book chapters. She has also reviewed also reviewed papers in various journals and conferences. She has also organized a special session in international conferences. She has excellent communication and compatibility with students which makes learning easier for them and much more fun. Vidwan Id - 243371 |
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Dr. Jyoti Khurana Jyoti Khurana is an assistant professor in Department of Information Technology in Maharaja Surajmal Institute of Technology, New Delhi. She received her M.Tech in Information Technology from Guru Gobind Singh Indraprastha University, Dwarka, New Delhi in 2009. Currently she is pursuing her PhD from Guru Gobind Singh Indraprastha University, Dwarka, New Delhi. Her research interest includes Data Mining, Clustering, Classfication, Image Segmentation, Machine Learning. A brilliant professional who has superb teaching skills developed as a result of 14 years of extensive experience in teaching IT related subjects and concepts to the engineering graduate students. She has extensive research experience and published more than 20 research articles in various international journals/ conferences and in books of international repute as book chapters. She has received excellence in research award from MSIT in year 2018 for publishing SCIE paper. She has also reviewed papers of many conferences, SCIE/ESCI/Scopus journals. She has excellent communication and rapport with students which makes learning easier for them and much more fun. Vidwan Id - 243530 |
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Ms. Meena Siwach Ms. Meena Siwach is working as Assistant Professor in Department of Information Technology. She has an overall experience of 14 years in Academics. She has done B.Tech(CSE), M.Tech(IT) and now Pursuing Ph.D. from Guru Gobind Singh Inderprastha University, Dwarka, Delhi. Her Research interest is in the field of Data Mining, Machine Learning and deep Learning. Vidwan Id - 244162 |
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Mr. Surender Singh Surender Singh completed his B.Tech. and M.Tech. in Computer Engineering from Maharishi Dayanand University, Rohtak, India in 2005 and 2008 respectively. He is working as an Assistant Professor in the Department of Information Technology of Maharaja Surajmal Institute of Technology, Delhi, India. Currently, he is doing his PhD (part time) in Department of Computer Applications from National Institute of Technology, Kurukshetra, India. He has more than 13 years of academic experience in various colleges in India. He has six international conference papers and five national/international journal publications. His current research interests include PageRank optimisation, feature selection and spam detection using machine learning techniques in web. Vidwan Id - 243379 |
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Dr. Bharti Sharma Dr. Bharti Sharma works on Machine learning, Deep learning and specifically for Recommendation System. She has also developed a MAP REDUCE Based Recommendation System. Currently she is working on text summarization field. Vidwan ID: 243550 |
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Dr. Tripti Rathee Dr.Tripti works on Identity and Access management using blockchain technology. Her area of interest is Cybersecurity and blockchain. Vidwan ID: 241967 |
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Dr. Minakshi Tomer Area of interest includes text summarization, deep learning, and NLP. I have proposed hybrid methods for text summarization which overcomes the limitation of existing methods. Vidwan ID: 243413 |
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Ms. Mamta Gahlan Mamta Gahlan is working as an Assistant Professor in the Department of Information Technology of Maharaja Surajmal Institute of Technology, Delhi, India. She has more than 12 years of academic experience in various colleges in India. She has five international and five national journal publications. She is doing his PhD (part time) in Department of Computer Applications from National Institute of Technology, Kurukshetra, India. Her research interest includes machine learning in healthcare sector. Vidwan Id - 244429 |
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Dr. Sitender Dr. Sitender works on machine translation and specifically for Sanskrit Language. He uses a rule based approach as well as neural network methods to perform the task of machine translation. He has also developed a Sanskrit stemmer and POS tagger to perform the task of POS tagging the Sanskrit text. Currently he is working on text summarization of Hindi text and neural network based Sanskrit language translation to other languages. Vidwan ID: 241847 |
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Ms. Saba Khanum Saba Khanum is currently working in the field of blockchain applications. She has also worked in the field of Ad-hoc networks. She was once appreciated with multi-dimensional faculty certificate from college. She participates actively in technical and cultural activities. Vidwan ID: 241947 |
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Dr. Sunesh Malik Dr. Sunesh Malik works on security of digital images. Her area of interest includes artificial intelligence, security and image processing. Vidwan ID: 242013 |
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Ms. Preeti Rathee Preeti Rathee has done B.Tech in Information Technology from MMU, Ambala in 2012 and did her M.Tech in Computer Science from ITM University Gurugram in 2014. She is doing her doctorate from GGSIP University, Dwarka, Delhi. She is an Assistant Professor in Maharaja Surajmal Institute of Technology and has an experience of 7 years in teaching computer and IT Subjects. She is currently working on research area of Semantic Web, Ontology and Semantic Similarity. She has published various research papers in international journals/conferences. She has excellent communication and compatibility with students which makes learning easier for them and much more fun. Vidwan Id - 243536 |
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Ms. Deepshikha Yadav Ms. Deepshikha Yadav has published various papers in the field of energy harvesting, embedded systems and internet of things. Her area of interest includes analysing and designing circuits and systems for efficient renewable energy harvesting. She is working in the direction of integrating internet of things and power management systems for controlling the energy demands of devices and nodes remotely. Ms. Yadav has taught various subjects like Digital Communication, Microprocessors and Microcontrollers, Optical Communication, Analog Electronics etc. during her teaching years. She has bagged First and Third prize in Inter-College project competition organized by GGSIPU. She has been awarded the Excellence in Research award and Appreciation certificate by MSIT. Vidwan Id- 243362 |
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Mr. Parveen Kumar Mr Parveen Kumar’s research areas include Wireless communication and Artificial intelligence. He has published several research papers in these domains. He has taught various subjects like Analog Electronics, Microprocessors & Microcontrollers, Wireless Communication, Ad-Hoc sensor Network, Digital Communication etc. during her teaching career. He is also actively involved in the Placement Department, taking care of the placement and related activities of B.Tech students. Vidwan Id- 243373 |
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Dr. Sandeep Singh His area of interest includes digital signal processing, linear and nonlinear system identification and optimization methods. He is interested in the field of simulation and analysis of different systems like finite impulse response (FIR), infinite impulse response system (IIR) and nonlinear systems such as Volterra model, Hammerstein model etc. He also uses meta-heuristic algorithms in his research work which provides the global optimum solution. Vidwan ID: 243378 |
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Ms. Mamta Rani Mamta Rani is currently working in the area of computer vision (biomedical imaging) using deep convolutional neural networks (CNN) and GANs. She has a keen interest in teaching as well as research and has more than 10 years of teaching experience. She has been associated with MSIT since 2015 till date. She's also interested in IOT based projects that includes both software and hardware. Her particular interest is in artificial intelligence, Machine Learning and deep learning. Vidwan Id- 241206 |
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Ms. Preeti Sehrawat Ms. Preeti Sehrawat is currently pursuing her Ph.D from DCRUST in the area of vehicular networking and wireless communication. She is particularly interested in vehicular communication in 5G. She has taught various subjects like STLD, Digital System Design, Electronic Devices etc. during her teaching career. Vidwan Id- 243347 |
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Ms. Ashish Kumari Ms. Ashish Kumari, is a professional with an experience of 6+ years in academics in reputed Universities like NSUT, SGT. She is highly interested in participating in the development of new interdisciplinary programs of study and highly enthusiastic for research and innovative ideas. She has deep commitment to teaching; excels in research area in Data Science, Wireless Sensor Network, Internet of Things. She has also published her work in recognized Journals and conferences and has granted 1 patent. Vidwan Id - 242206 |
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Mr. Akshay Singh Akshay Singh is an Assistant Professor in the department of Information Technology at Maharaja Surajmal Institute of Technology, New Delhi, India. He completed his B.Tech. and M.Tech. in Computer Science and Engineering in 2017 and 2019 respectively. Previously, he served as an Associate Consultant in the department of Quality Analysis at Oodles Technologies, Gurugram, Haryana. He joined as a Junior Research Fellow in Neuroradiology Department at AIIMS, Delhi. Also, he has worked in SSCBS, University of Delhi as Guest Faculty. His research is centered around Machine Learning, Deep Learning, Data Mining, Data Science and Digital Image Processing. Vidwan Id - 244695 |
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Ms. Priya Dalal Ms. Priya Dalal pursuing a Ph.D. in Computer Science & Engineering from Jagannath University, Haryana, India and She received her master's degree in Computer Science from Lovely Professional University, Punjab. She received her bachelor's degree in Computer Science & Engineering from Maharshi Dayanand University, Rohtak. She has 9 published papers in refereed National/International Journals & Conferences (viz. IEEE, ACM, Springer, Wiley, etc.). She has over 6 years of experience in Academics. Her research interests include Cloud Computing, Computer Networks, Computer Organization & Architecture and IoT Networks. Vidwan Id : 259059 |
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Ms. Priyanka Ms. Priyanka Kalkandha has received her master's degree in Computer Science & Engineering from BIT Mesra, Ranchi. She received her bachelor's degree in Computer Science & Engineering from Maharshi Dayanand University, Delhi, India. She is qualified NTA NET CSE (3 times). She has 3 published papers in refereed National/International Journals & Conferences (viz. IEEE, ACM, Springer, Wiley, etc.). She has over 5 years of experience in Academics. Her research interests include Networks, wireless ad hoc and sensor networks, Data mining and IoT Networks. Vidwan-ID: 259169 |
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Ms. Nidhi Goel Ms. Nidhi Goel has received her M. Tech degree in Computer Science & Engineering from Dr. APJ Abdul Kalam Technical University, Lucknow. She did her MCA from GGSIPU, Delhi. Apart from this she has done her PGDCA from Delhi University. She received her bachelor's degree from Sikkim Manipal University, Delhi, India. She has qualified NTA NET in Computer Science & Engineering. She has several published papers in refereed National/International Journals & Conferences. She has over 12.5 years of experience in Academics. Her research interests include Networks, Data mining and IoT Networks. Vidwan-ID: 260368 |
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Ms. Renu Dalal Ms. Renu Dalal pursuing a Ph.D. in Computer Science & Engineering from Guru Gobind Singh Indraprastha University, Delhi, India and She received her master's degree in Information Security from Ambedkar Institute of Advanced Communication Technology and Research, affiliated with Guru Gobind Singh Indraprastha University, Delhi, India. She received her bachelor's degree in Computer Science & Engineering from Indira Gandhi Institute of Technology; Delhi affiliated with Guru Gobind Singh Indraprastha University, Delhi, India. She has 15 published papers in refereed National/International Journals & Conferences (viz. IEEE, ACM, Springer, Wiley, etc.). She has over 8 years of experience in Academics. Her research interests include opportunistic networks, wireless ad hoc and sensor networks, Data mining and IoT Networks. Vidwan Id: 259082 |
| S.No. | Name of the Staff Member | Designation |
| First Shift | ||
| 1 | Sh. Sunil Kumar – I | Tech. Assistant |
| 2 | Ms. Neetu | Tech. Assistant |
| 3 | Sh. Manoj Kumar | Tech. Assistant |
| 4 | Mr. Vishal Panwar | Tech. Assistant |
| 5 | Mr. Rajeev Kumar | Tech. Assistant |
