HoD Message

Dr. Bhawna
Head of Department
Department of Artificial Intelligence and Machine Learning/Data Science

Dear Students, Faculty, and Visitors,

I am thrilled to extend a warm welcome to you all to the Department of Artificial Intelligence and Machine Learning, Data Science (AIML and DS) at DPG Institute of Technology and Management. Department of AIML and DS came into existence in the year 2020, with an intake of 120 i.e. 60 in each stream.

As the Head of the Department, it is my privilege to lead a team of dedicated faculty members and enthusiastic students who are passionate about exploring the frontiers of AI, machine learning, and data science.

At our department, we are committed to fostering a dynamic learning environment where innovation thrives, and intellectual curiosity is encouraged. Whether you are embarking on your undergraduate journey or pursuing advanced research in AI and data science, you will find unparalleled opportunities for growth and discovery here.

Our curriculum is meticulously designed to equip students with the knowledge, skills, and competencies needed to excel in this rapidly evolving field. Through a blend of theoretical insights and hands-on experiences, we aim to empower our students to tackle real-world challenges and make meaningful contributions to society.

In addition to our academic programs, we offer a vibrant ecosystem of research initiatives, industry collaborations, and extracurricular activities. From internships at leading tech companies to participation in hackathons and workshops, there are endless avenues for students to engage with cutting-edge technologies and expand their horizons.

As we embark on this journey together, I encourage all members of our department – students, faculty, and staff – to embrace collaboration, diversity, and a spirit of innovation. By working together and leveraging our collective talents, we can unlock new possibilities and push the boundaries of what is possible in the realms of AI and data science.

Warm regards,
Dr. Bhawna
Head of Department, Department of Artificial Intelligence and Machine Learning/Data Science.

Faculty

Prof.(Dr.) Mukesh Yadav

Professor (Dean)

AI/ML & DS

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Prof.(Dr.) Mukesh Yadav

• Total Journals Pub: 35
• SCI: 3
• Total Conference: 7
• Patents: 2
• Ph D Thesis Supervised: 4
• M.Phil Dissertation Supervised: 1
• MTech Dissertation Supervised: 16
• MS(Research) Supervised: 1 Professional Member of Technical Societies-ACM/IEEE, CSTA and Computer Society of India.

Dr. Sarika Chaudhary

Associate Professor, HOD CSE

AI/ML & DS

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Dr. Sarika Chaudhary

ORCID id: 0000-0003-4620-7237
Scopus Author id: 57206167510      
Vidwan ID: 229011
WoS Researcher ID: ABD-7775-2020
https://www.linkedin.com/in/drsarika-chaudhary-657819179/

EXPERIENCE: 15 years of Teaching and Research

Associate Professor| SCSE | IILM University
July 17, 2023- October 03, 2023

Associate Professor| JKBS Gurugram | Visiting Faculty
January 2023-May 2023

Associate Professor | FET- CSE | MRIIRS Faridabad
October 06, 2021- July 31, 2022        

Assistant Professor II | ASET-CSE | Amity University Haryana
July 09, 2012- Oct 05, 2021

Lecturer | CSE| S.N. College of Engineering, Hisar, Haryana,
April 2011-Dec 2011

Lecturer | CSE | G.J.U.S&T Hisar, Haryana
Aug 2007- Jan 2010

Research Scholar| Indian Institute of Technology (I.I.T), Delhi
June 2006-May 2007

RESEARCH INTEREST
Data Science, Data Engineering, Data Analytics, AI, Machine Learning, Deep Learning Software Engineering: Software Testing, software requirements, software reengineering.

EDUCATION
Ph.D. (Computer Science), M.Tech (CS), B.Tech (CSE)

Exam Qualified | UGC-NET | Assistant Professor | Computer Science and Applications, Dec 29, 2013.

ACHIEVEMENTS

• Keynote Speaker: “Technology Based Entrepreneurship Development” in association with National Science and Technology Entrepreneurship Board, Department of Science and Technology (DST), Government of India, Delhi and Entrepreneurship Development Institute of India, Gujarat, 2018.
• Received Certificate of Appreciation as Jury Panel Expert/Evaluator in Grand Finale of India’s first National Security Focused Hackathon- MANTHAN 2021, organized by the MHRD’s Innovation Cell (MIC) from 8th to 10th December, 2021 in the online mode via Virtual platform using a Cloud based tool for non-stop 36 hours. 
• Session Chair at 5^th IEEE International Conference on Advances in Computing, Communication and Networking, organized by Galgotias College of Engineering and Technology, Greater Noida, U.P., India on 15^th -16^th  December,2023.
• Session Chair on Image, Video and Signal Processing in Springer International Conference on Machine Intelligence and Smart Systems organized by RIT, Gwalior, MP, India -2020, 2021,2022,2023.
• Women Researcher Award in “International Scientist Awards 2021 on Engineering, Science and Medicine” Coimbatore, India.
• Technical program committee (TPC) member in 4 International conferences sponsored by IEEE, Springer.
• Member ‘Technical Reviewing Committee’, COM-IT-CON 2022, the IEEE International Conference on “Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Perspectives, and Prospects”, organized by FET-CSE, MRIIRS, Faridabad.
• Technical Program Committee Member, International conference on computing for sustainable development (INDIACom- 2019, 2020, 2021, 2022).
• Member, Technical Programme Committee at PCCDS-2020: International Conference on Paradigms of Computing, Communication and Data Sciences, organized by NATIONAL INSTITUTE OF TECHNOLOGY Kurukshetra, 2019.
• Member, Technical Programme Committee at ICRIC-2022: International Conference on Recent Innovations in Computing, Indo-Hungarian Conference approved by Springer held between 13-14^th August, 2022.
• Received certificate of excellence in reviewing from international journal for Innovative Research in Science & Technology (2018).
• Received certificate of recognition from Global research and Development journals. (Dec 2017).
• Received certificate of appreciation for role of reviewer in 2020 IEEE International Conference for Innovation in Technology (INOCON) Technically Cosponsored by IEEE Bangalore Section 06th – 08th November 2020.
• Received “Letter of Appreciation for active contribution” from MISS-2020 “International Conference on Machine intelligence and smart systems” SPRINGER.
• Published 40 research papers in international peer reviewed journals and conferences: Scopus/SCIE/WoS: 12 (https://scholar.google.com/citations?user=WQO_lEsAAAAJ)
• Patents:3 [1 process and 2 design patent]
• Guided 14 Post Graduate students in research work.
• Guided more than 20 projects at Under Graduate level.
• Attended more than 20 professional developmental activities.

SPECIALIZATION IN SUBJECTS

Machine Learning, Artificial Intelligence, Artificial Neural Networks, Data Analytics, Data  
Warehousing and Data Mining, Statistics for ML, Data Structure and Algorithms, Mathematical    Foundations of Computer Science, Digital Electronics, Management Information Systems,  Software Engineering, Software Testing and Quality Assurance, Software Design, Software Artefacts Analysis(agile), Software Vulnerability Analysis, E-commerce and ERP, Data Communication and Computer Networks, Fundamentals of Computer, VB. NET, Internet Fundamentals, HTML, Cyber Law and Ethics Python.

MEMBER OF PROFESSIONAL / TECHNICAL COMMITTEES

• Member, IEEE, ID: 96822967, April 2020
• Member, The Institute of Engineering and Technology (IET), U.K., ID: 1100440363, Dec 2015
• Member, IAENG Society of Computer Science, ID: 103919, Jan 2018.
• Member, IAENG Society of Data Mining, ID: 103919, Jan 2018.
• Member, IAENG Society of Software Engineering, ID: 103919, Jan 2018.
• Member, World Academy of Science, Engineering and Technology (WASET), Feb 2018.

 EDITORIAL BOARD MEMBER/REVIEWER OF JOURNALS

• International Journal of Applied Science and Engineering (IJASE). SCOPUS INDEXED
• International Journal of Engineering Trends and Applications (IJETA)/2393-9516.
• Journal of Data Analysis and Information Processing (JDAIP), Scientific Research an Academic publisher.
• Scientific and Technical Committee & Editorial Review Board on Computer and Information Engineering (WASET).
• American Journal of Software Engineering and Applications (IJSEA)/ISSN: 2327-2473.

Dr. Bhawna

Assistant Professor

AI/ML & DS

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Dr. Bhawna

• Experience: 5 Years of Teaching
• Qualification: PhD. , M.Tech. , B.Tech
• Area of Research: Machine Learning & Deep Learning
• Publication: 12
  
• Patents/Scopus/SCI Papers: 03

Ms. Renu Vadhera

Assistant Professor

AI/ML & DS

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Ms. Renu Vadhera

• Experience: 7 Years of Teaching
• Qualification: PhD. (Pursuing), M.Tech. , B.Tech.
• Area of Research: Artificial Intelligence and Machine Learning
• Publication: 05

Ms. Archana Rohilla

Assistant Professor

AI/ML & DS

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Ms. Archana Rohilla

• Experience: 12 Years of Teaching
• Qualification: M.Tech. , B.Tech.
• Area of Research: Artificial Intelligence

Ms. Smriti Dwivedi

Assistant Professor

AI/ML & DS

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Ms. Smriti Dwivedi

• Experience: 6 Years of Teaching
• Qualification: M.Tech. , B.Tech.
• Area of Research: Cyber Security
• Publication: 05

Ms. Phani Kumari Cheruku

Assistant Professor

AI/ML & DS

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Ms. Phani Kumari Cheruku

• Experience: 5 Years of Teaching
• Qualification: M.Tech. , B.Tech.
• Area of Research: Deep Learning
• Publication: 01

Mr. Yash Dhankhar

Assistant Professor

AI/ML & DS

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Mr. Yash Dhankhar

• Experience: 5 Years of Teaching
• Qualification: PhD. (Pursuing), M.Tech. , B.Tech.
• Area of Research: Internet of Things (IOT)
• Publication: 04
• Patents/Scopus/SCI Papers: 03

Ms. Meenakshi Gupta

Assistant Professor

AI/ML & DS

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Ms. Meenakshi Gupta

• Experience: 3 Years of Teaching, 4 Years of Industry
• Qualification: M.Tech. , B.Tech
• Area of Research: Big Data and Deep Learning
• Publication: 02

Ms. Garima Choudhary

Assistant Professor

AI/ML & DS

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Ms. Garima Choudhary

• Experience: 1 Year of Teaching
• Qualification: M.Tech. , B.Tech
• Area of Research: Data Mining and Machine Learning
• Publication: 01

Ms. Kanchan Choudhary

Assistant Professor

AI/ML & DS

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Ms. Kanchan Choudhary

• Experience: 3 Years of Teaching
• Qualification: M.Tech., B. Tech
• Area of Research: Web designing and DBMS
• Publication: 01

Ms. Bhawna Kumari

Assistant Professor

AI/ML & DS

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Ms. Bhawna Kumari

• Experience: 3 Years
• Qualification: B.Tech and M.Tech Passed (in 2019) from Computer Science
• Area of Research: Test Case Prioritization using Machine Learning
• Publications: 1 Research Paper ( A Comparison between Manual Testing and Automated Testing )
• Other Achievements: Coordinator of YWNXT Program: Yuwaah and UNICEF India, Gurugram, Coordinator at Science Olympiad Foundation

Akash Sharma

Assistant Professor

AI/ML & DS

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Akash Sharma

• Experience: 9 Years
• Qualification: BCA
• Area of Research: MIS

Vision & Mission

Mission

• M1 : To enlighten students to experience content based learning with premier quality data science education, research and industrial collaboration to update their knowledge in the field of Data Science.
• M2 : To provide training programs that bridges the gap between academia and industry.
• M3 : To instill societal, safety, cultural, environmental and ethical responsibilities in all professional activities
• M4 : To equip aspiring students with the skills to perform intelligent data analysis which in turn provide dynamic and lucrative careers in technology.

Vision

To be a pioneering department that fosters innovation and excellence in the field of Artificial Intelligence and Machine Learning, empowering students and researchers to create impactful solutions for global challenges.

PEOs, PO’s and PSOs

PEOs

• PEO 1 Analyze the problems by applying the principles of computer science, mathematics, and scientific investigation to build intelligent machines, software, or applications using latest technologies to identify new opportunities
• PEO2 Embrace lifelong learning to meet ever changing developments in Artificial Intelligence and Data science
• PEO 3: Exhibit team spirit, inter-personal and leadership dynamics for effective management of projects and engage in life-long learning to conform to changing professional and societal needs.

PSOs

• PSO 1: Design, develop, test, and maintain innovative System Software to meet the desired needs of industry & society.
• PSO 2: Apply skills to design efficient algorithms to solve the problems in the area of networking & data analytics.

Department of AIML

PEO’s

• PEO1: Using a solid foundation in mathematical, scientific, engineering, and current computing principles, formulate, analyse, and resolve engineering issues.
• PEO2: Apply artificial intelligence theory and concepts to analyse the requirements, realise technical specifications, and design engineering solutions.
• PEO3: Provide graduates with solid knowledge, competence, and soft skills that will enable them to ethically contribute to societal demands and achieve sustainable advancement in emerging computer technologies through lifelong learning.

PSO’s

• PSO1. Apply the principal concepts of AI Engineering to design, develop, deploy and prototype AI Subsystems
• PSO2. Apply the knowledge gained pertaining to data storage, data analytics and AI concepts to solve real world business problems.

Employment Opportunities

Are you passionate about exploring the cutting-edge realms of artificial intelligence and data science? Are you eager to apply your skills and knowledge to solve real-world problems and make a meaningful impact? If so, we have some exciting employment opportunities for you!

As industries across the globe continue to embrace the power of AI and data-driven insights, the demand for talented professionals in these fields is skyrocketing. Whether you’re a recent graduate looking to kickstart your career or an experienced practitioner seeking new challenges, there has never been a better time to pursue opportunities in artificial intelligence and data science.

Here are just a few of the employment opportunities waiting for you:

Data Scientist: Join a dynamic team of data scientists tasked with extracting valuable insights from vast datasets, building predictive models, and driving data-driven decision-making across various industries.

Machine Learning Engineer: Collaborate with cross-functional teams to design, develop, and deploy machine learning algorithms and models that power intelligent systems and automate processes.

AI Researcher: Dive into the forefront of AI research, pushing the boundaries of what’s possible in areas such as natural language processing, computer vision, reinforcement learning, and more.

Business Analyst: Bridge the gap between data science and business strategy by translating complex analytics into actionable insights that drive business growth, efficiency, and innovation.

AI Ethics Consultant: Help organizations navigate the ethical challenges and implications of AI technologies, ensuring that AI systems are developed and deployed responsibly and ethically.

Data Engineer: Design and optimize data pipelines, databases, and infrastructure to support the storage, processing, and analysis of large volumes of data for AI and machine learning applications.

AI Product Manager: Lead the development and implementation of AI-powered products and solutions, from ideation and prototyping to launch and iteration, while balancing technical feasibility, user needs, and business objectives.

These are just a few examples of the diverse range of employment opportunities available in the field of artificial intelligence and data science. Whether you’re interested in healthcare, finance, e-commerce, gaming, or any other industry, there’s a role for you to make an impact and contribute your skills and expertise.

So, seize the opportunity to embark on an exciting career journey in artificial intelligence and data science! Keep an eye on job boards, company websites, and professional networks for openings that match your interests and aspirations. And don’t forget to leverage the resources and support available through our department and alumni network to help you succeed in your job search and beyond.

Wishing you all the best in your future endeavors!

Startup Ideas

Certainly! Here are some startup ideas in various sectors that align with the growing trends and emerging opportunities:

HealthTech Solutions: Develop a platform or application that enhances healthcare accessibility, telemedicine services, remote patient monitoring, or personalized health management. Consider incorporating AI for predictive analytics, wearables for health tracking, or blockchain for secure health data management.

EdTech Innovations: Create an online learning platform that offers interactive courses, personalized learning paths, or skill development programs. You could focus on niche subjects, vocational training, or lifelong learning opportunities. Utilize AI for adaptive learning algorithms or virtual reality for immersive educational experiences.

Sustainable Solutions: Launch a startup dedicated to promoting sustainability and environmental conservation. This could involve developing eco-friendly products, renewable energy solutions, waste management technologies, or carbon footprint tracking tools. Consider leveraging IoT devices for smart energy management or blockchain for transparent supply chains.

Fintech Disruptors: Build a fintech startup that revolutionizes financial services, banking, or investment management. Ideas include peer-to-peer lending platforms, micro-investment apps, blockchain-based payment solutions, or robo-advisors for automated wealth management. Explore opportunities in decentralized finance (DeFi) or cryptocurrency innovations.

E-commerce Enhancements: Develop innovative solutions to enhance the e-commerce experience, such as AI-powered recommendation engines, virtual try-on technologies for fashion, sustainable supply chain platforms, or social commerce integrations. Consider niche markets or untapped consumer needs for differentiation.

Remote Work Tools: Create tools and platforms to support remote work environments, including collaboration software, project management tools, virtual team-building solutions, or cybersecurity platforms tailored for remote teams. Emphasize user experience and seamless integration with existing workflows.

Smart Home Devices: Design IoT devices and smart home solutions that improve convenience, energy efficiency, and home security. Ideas include smart thermostats, home automation systems, AI-powered home assistants, or health monitoring devices for aging populations. Focus on interoperability and data privacy to build consumer trust.

TravelTech Innovations: Address pain points in the travel industry by developing solutions for itinerary planning, booking management, sustainable tourism initiatives, or experiential travel platforms. Consider incorporating AI for personalized recommendations, blockchain for transparent pricing, or virtual reality for destination previews.

Cybersecurity Solutions: Launch a cybersecurity startup focused on threat detection, identity protection, secure communications, or risk assessment services. Develop innovative solutions to combat evolving cyber threats, such as ransomware, phishing attacks, or data breaches. Consider partnerships with businesses and government agencies to scale impact.

Biotech Breakthroughs: Explore opportunities in biotechnology by developing innovative therapies, diagnostics, or personalized medicine solutions. Focus on emerging fields such as genomics, regenerative medicine, or microbiome research. Collaborate with research institutions and healthcare organizations to accelerate development and adoption.

Remember, successful startups often arise from identifying a pressing problem or unmet need in the market and providing a unique and scalable solution. Conduct thorough market research, validate your ideas through prototyping and customer feedback, and be prepared to iterate and pivot as needed. Good luck with your startup endeavors!

Student Life

Student life in the Department of Artificial Intelligence and Data Science (AIML & DS) at DPGITM College is vibrant, diverse, and filled with opportunities for personal growth, academic excellence, and social engagement. Here’s a glimpse into what student life looks like in our department:

1. Academic Excellence: Our students are immersed in a rigorous academic environment that emphasizes theoretical knowledge, practical skills, and critical thinking abilities. They engage with cutting-edge concepts, technologies, and methodologies in artificial intelligence, machine learning, data science, and related disciplines. Through lectures, seminars, workshops, and hands-on projects, students develop the expertise and confidence to tackle complex challenges and drive innovation in the field.

2. Hands-on Learning: We believe in learning by doing, which is why our curriculum is designed to incorporate hands-on learning experiences at every opportunity. Students have access to state-of-the-art laboratories, software tools, and computing resources where they can apply theoretical concepts to real-world problems. Whether it’s analyzing datasets, building machine learning models, or developing AI-powered applications, students gain practical experience that prepares them for success in their future careers.

3. Research Opportunities: Our department encourages students to explore their interests and pursue research opportunities in areas of their choice. Faculty members actively engage students in research projects, scholarly activities, and industry collaborations, providing mentorship and guidance along the way. Through participation in conferences, hackathons, and research competitions, students have the chance to showcase their work, network with peers and professionals, and contribute to advancements in the field.

4. Extracurricular Activities: Beyond academics, students have the opportunity to participate in a variety of extracurricular activities that enrich their college experience and foster personal development. From student clubs and organizations focused on AI, data science, and technology to cultural events, sports competitions, and community service initiatives, there are plenty of ways for students to get involved, connect with peers, and build valuable leadership and teamwork skills.

5. Networking and Professional Development: Our department provides numerous opportunities for students to network with industry professionals, alumni, and experts in the field. Guest lectures, industry visits, internships, and career fairs are organized regularly to expose students to real-world applications of AI and data science, connect them with potential employers, and help them explore different career paths. Additionally, workshops on resume writing, interview preparation, and professional skills development equip students with the tools and knowledge they need to succeed in the job market.

6. Supportive Community: At the heart of student life in our department is a supportive and inclusive community where students feel valued, respected, and empowered to pursue their goals. Faculty members, advisors, and staff are committed to providing personalized support, academic guidance, and mentorship to help students thrive academically and personally. Whether it’s seeking academic assistance, career advice, or emotional support, students can rely on the resources and support network available to them within the department.

Overall, student life in the Department of AIML & DS at DPGITM College is dynamic, enriching, and filled with opportunities for learning, growth, and fulfilment. From academic excellence and hands-on learning experiences to extracurricular activities and professional development opportunities, students have everything they need to succeed and make the most of their college experience.

Department Results and Toppers

TOPPERS OF B.TECH: CSE-AIML 8th sem (2020-2024)

TOPPERS OF B.TECH: CSE-Data Science 8th sem (2020-2024)