Department of Computer Engineering – Trinity College of Engineering and Research,Pune
About the Department
The Trinity College of Engineering and Research started an undergraduate course in Computer Engineering in 2008 with a current intake of 150 and a Post-graduate course ME with an intake of 24 seats in 2014. The Department has 9 well-equipped laboratories and an excellent computer centre with a seating capacity for 130 students, with the latest software required for curriculum development. It is a delight to have highly qualified, dedicated, and devoted faculty members who are the real strength of the department. Other than academic knowledge, our faculty is also involved in the overall development of the students.
Vision
To contribute to identify the underlying scientific foundation of Computer Aided Innovation and also to evaluate their effectiveness and efficiency. To address the main motivations of the industrial sector, regarding the engineering innovation activity with computer tools and methods.
Mission
Computer department will be the widely recognized center of excellence for promoting value added engineering education. Department will contribute by evolving innovative technology solutions to solve a wide range of technological and social problems & to develop the concepts of professional practices, innovation and enterprise
Department Objectives
- To impart in-depth knowledge in computer science fundamentals and emerging technologies.
- To foster problem-solving, analytical thinking, and software development skills.
- To build future-ready professionals equipped with coding, design, AI, and cloud computing expertise.
- To promote entrepreneurship, innovation, and research-driven learning.
Faculty
Our department is backed by a dedicated team of professors and industry experts with specializations in:
- Artificial Intelligence & Machine Learning
- Data Science & Big Data Analytics
- Cybersecurity
- Cloud Computing
- Web and Mobile App Development
Faculty members are active contributors to research, paper publications, and curriculum development to align with current industry demands.
QUICK LINKS
Dr. Geetika Narang
Designation: Associate Professor & HOD
Qualification: Ph.D.
Experience: Teaching: 17 Years
Area of Interest: Networking, Data Mining
Email Id: geetikanarang.tcoer@kjei.edu.in
Dr. Sujeet More
Designation: Associate Professor & IQAC Head
Qualification: M.Tech (CSE), Ph.D. (CSE)
Experience: Teaching: 13 Years
Area of Interest: Machine Learning, Deep Learning, Artificial Intelligence
Email Id: sujeetmore.tcoer@kjei.edu.in
Dr. Sneha Tirth
Designation: Assistant Professor
Qualification: ME (Computer), Ph.D. (CSE)
Experience: Teaching: 15 Years
Area of Interest: Data Structure, OOP, Data Science
Email Id: snehatirth.tcoer@kjei.edu.in
Mr. Prasad Ishwar Bhosle
Designation: Assistant Professor, PG Coordinator
Qualification: M.E. Computer Engg.
Experience: 13 Years
Area of Interest: Cloud Computing, Computer Networks, Computer Graphics
Email Id: prasadbhosle.tcoer@kjei.edu.in
Prof. Manisha Patil
Designation: Assistant Professor
Qualification: M.E. Computer
Experience: Teaching: 25 Years
Area of Interest: Data Structures and Algorithms, Data Science
Email Id: manishapatil.tcoer@kjei.edu.in
Mrs. Shaikh Jareena Najmoddin
Designation: Assistant Professor
Qualification: M.E. Computer
Experience: 17 Years
Area of Interest: Programming, Cloud Computing, AI, ML, Data Science
Email Id: shaikhjareena.tcoer@kjei.edu.in
Prof. Nadaph Anisaara
Designation: Assistant Professor
Qualification: Ph.D. Pursuing
Experience: Teaching: 15 Years
Area of Interest: Machine Learning, Cloud Computing
Email Id: anisaaranadaph.tcoer@kjei.edu.in
Maske Rupali Amrutrao
Designation: Assistant Professor
Qualification: M.Tech-CSE, Ph.D. Pursuing
Experience: 16 Years
Area of Interest: AI, ML, DL, Data Science, Database
Email Id: rupalimaske.tcoer@kjei.edu.in
Mrs. Snehal Yogesh Kulkarni
Designation: Assistant Professor
Qualification: M.E. Computer
Experience: 16 Years
Area of Interest: Data Structures, Data Science, Computer Networks, AI, ML, OOP
Email Id: snehalkulkarni.tcoer@kjei.edu.in
Prof. Deepika Lalit Falak
Designation: Assistant Professor
Qualification: M.E. Computer
Experience: 11 Years
Area of Interest: Database Management System, Data Science and Big Data Analytics, AI, ML
Email Id: deepikafalak.tcoer@kjei.edu.in
Mrs. Swati Kishor Mohite
Designation: Assistant Professor
Qualification: M.E. Computer
Experience: 11 Years
Area of Interest: Object Oriented Programming, Data Science, AI, ML
Email Id: swatimohite.tcoer@kjei.edu.in
Mrs. Gauri Yogesh Gunjal
Designation: Assistant Professor
Qualification: M.E. Computer
Experience: 10 Years
Area of Interest: Data Structures, OOP, Computer Networks, AI, ML
Email Id: gaurigunjal.tcoer@kjei.edu.in
Samreen Mohammed Basit Shaikh
Designation: Assistant Professor
Qualification: ME (Computer Engineering), Ph.D. Pursuing
Experience: Teaching: 7 Years, Industry: 6 Months
Area of Interest: Machine Learning, Deep Learning, Information Retrieval
Email Id: samreenshaikh.tcoer@kjei.edu.in
Prof. Vishal Shinde
Designation: Assistant Professor
Qualification: M.E. Computer
Experience: Teaching: 5 Years
Area of Interest: Machine Learning, Deep Learning, Software Testing
Email Id: vishalshinde.tcoer@kjei.edu.in
Rutika Saurabh Shah
Designation: Assistant Professor
Qualification: ME (Computer Science)
Experience: 5 Years
Area of Interest: Database Management System, Operating System, ML, AI
Email Id: rutikashah.tcoer@kjei.edu.in
Shaikh Saminabano Ayyub
Designation: Assistant Professor
Qualification: ME (Computer Engineering)
Experience: Industry: 1 Year, Teaching: 5.5 Years
Area of Interest: JAVA, Web Technologies, Data Science
Email Id: saminabanoshaikh.tcoer@kjei.edu.in
Prof. Sai Y. Takawale
Designation: Assistant Professor
Qualification: ME Computer Engg., Ph.D. Pursuing
Experience: Teaching: 3 Years
Area of Interest: Machine Learning, Networking
Email Id: saitakawale.tcoer@kjei.edu.in
Harshada Milindsingh Raghuvanshi
Designation: Assistant Professor
Qualification: ME (Computer Engineering), Ph.D. Pursuing
Experience: Industry: 2 Years, Teaching: 2.5 Years
Area of Interest: Data Structure and Algorithms, Operating System, STQA, Wireless Communication
Email Id: harshadaraghuwanshi.tcoer@kjei.edu.in
Rutuja Rajesh Kavade
Designation: Assistant Professor
Qualification: ME (Computer Engineering)
Experience: -
Area of Interest: DBMS, Data Structure and Algorithms, Blockchain
Email Id: rutujakavade.tcoer@kjei.edu.in
Snehal Mahindrakar
Designation: Teaching Assistant
Qualification: ME Pursuing
Experience: Industry: 5 Years, Teaching: 1 Year
Area of Interest: JAVA, DBMS, DSBDA, STQA
Email Id: snehalmahindrakar.tcoer@kjei.edu.in
Dr. Sunil Kate
Designation: Assistant Professor
Qualification: M.Sc (Maths), Ph.D.
Experience: Teaching: 29 Years
Area of Interest: Mathematics
Email Id: sunilkate.tcoer@kjei.edu.in
Prof. Mahendra Vitthal Handore
Designation: Associate Professor
Qualification: M.Sc (Maths)
Experience: Teaching: 25 Years
Area of Interest: Mathematics
Email Id: mahendrahandore.tcoer@kjei.edu.in
Prof. P.V. Phadtare
Designation: Assistant Professor
Qualification: ME (IT)
Experience: Teaching: 12 Years
Area of Interest: Ontology, Data Mining, Image Processing, Semantic Web
Email Id: pankajphadtare.tcoer@kjei.edu.in
Prof. Hema Amol Kapse
Designation: Assistant Professor
Qualification: M.Sc SET Chemistry, B.Ed
Experience: Teaching: 5 Years
Area of Interest: Analytical Chemistry
Email Id: hemakapse.tcoer@kjei.edu.in
Mr. Nilesh Wable
Designation: System Administrator
Qualification: Diploma (E&TC)
Experience: 12 Years
Area of Interest: System Administration
Email Id: nileshwable.tcoer@kjei.edu.in
Mr. Swapnil Kadmane
Designation: Peon
Qualification: HSC
Experience: 4 Years
Email Id: swapnilkadmane.tcoer@kjei.edu.in
We offer cutting-edge laboratory infrastructure to ensure students have the tools and platforms required for innovation:
- Programming Lab (C, C++, Python, Java)
- AI & ML Lab
- Data Structures & Algorithm Lab
- Cybersecurity & Cloud Lab
- Project & IoT Lab
Hardware Lab
Computer Lab-I
Computer Lab-II
Computer Lab-III
Computer Lab-IV
Computer Lab-V
Computer Lab-VI
Computer Lab-VII
Computer Lab-VIII
Tutorial Room
Research & Publications
The department encourages student-faculty collaboration in innovative research areas including:
- Artificial Intelligence
- Blockchain Technology
- Internet of Things (IoT)
- Natural Language Processing
- Cybersecurity
Research papers are regularly published in Scopus-indexed journals, IEEE conferences, and national symposiums.
Student Achievements
Our students consistently excel in:
- National & international hackathons (Smart India Hackathon, Google CodeJam, etc.)
- Startup ventures and innovation competitions
- Internship placements at top companies like TCS, Infosys, Cognizant, Amazon
- Paper presentations and open-source contributions
Curriculum
The curriculum is designed in sync with Savitribai Phule Pune University (SPPU) norms, enriched with emerging tech content and industry certifications:
- Data Structures, Algorithms, DBMS, Operating Systems
- Python, Java, Web Development, Android Programming
- Machine Learning, Data Science, IoT, Cloud Computing
- Capstone Project in final year
Value-added courses like AWS Cloud, Python for Data Science, and Ethical Hacking are regularly introduced.
- SE - 2019 Course
- TE - 2019 Course
- BE - 2019 Course
- ME - 2017 Course
- Final Year Project List - 2022-23
- Project Based Learning List - 2022-23
- Internship List - 2022-23
- ME Second Year Project List - 2022-23
- Project Based Learning List - 2023-24
- Internship List - 2023-24
- Final Year Project List - 2023-24
- ME Second Year Project List - 2023-24
Testimonials
The training and placement officer in our college has a good network with IT companies. They inform us about which companies are coming for job interviews 2 to 3 days before so that we can prepare for those interviews. Companies like Sanky Solution, Tudip technology, Emicon, Techno Growth visited this year. Many students in college got placed and gathered experience of interviews. Training and placement cell organizes aptitude training for students every year, and they try to call industry experts to take sessions on programming languages. I got placed in FIS Global with the salary package of 5 LPA.
Vinay Itankar
Batch 24-2025
More than 90% of the students have been placed this year and it was a great experience for the placement facilities as well as the students. There are different workshops held in order to increase the number of placements of students. Some frequent recruiters were Zensar Infosys TCS Bitwise etc. I got placement in Infosys, TCS, Zenar, Bitwise. College life was pretty awesome. I made many friends. I know I will miss college too much and these days won't come back. We used to celebrate many festivals and days together. We would make a lot of fun and had no stress if you complete everything on time.
Karishma Lakahni
Batch 24-2025
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