Innovation by the Faculty in Teaching and Learning - KCC Institute of Technology & Management

Faculty Profiles

Dr. Udai Shanker
Designation	Professor & Director
Qualification	PhD
Area of Interest	Artificial Intelligence, IOT
Nature of Association	Regular
Date of Joining	26-07-2025
Innovation	Pedagogical Innovation -Implemented activity-based learning methods focused on solving practical problems. Assessment Innovation – Encouraged peer evaluation where groups assessed each other’s case study work. Digital Innovation- Shared learning resources in digital formats including videos and PDF documents.

Dr. Kakoli Rao(Head of Department)
Designation	Professor &Head
Qualification	PhD
Area of Interest	Artificial Intelligence, Machine Learning
Nature of Association	Regular
Date of Joining	01-01-2026
Innovation	Pedagogical Innovation – Practical, industry-relevant case studies were integrated with theoretical teaching in Software Engineering. Assessment Innovation – Ongoing assessment was carried out through participation in case-based discussions. Digital Innovation- Case study conversations were continued using online collaborative tools.

Dr. A.L.N RAO
Designation	Professor
Qualification	PhD
Area of Interest	Artificial Intelligence, Machine Learning
Nature of Association	Regular
Date of Joining	01-01-2026
Innovation	Pedagogical Innovation -Team-based problem-solving activities were conducted with mentoring during discussions and presentations. Assessment Innovation -Assessment was based on active participation and quality of input in group tasks. Digital Innovation – Online templates were provided to maintain consistency in solution development and reporting.

Faculty Profile Details

Dr. ANURAG UPADHYAY
Designation	Assistant Professor
Qualification	Ph.D
Area of Interest	Artificial Intelligence / Cybersecurity, Renewable Energy / Machine Learning
Nature of Association	Regular
Date of Joining	16-08-2024
Innovation	Pedagogical Innovation – Interactive methods, including group discussions, were implemented to strengthen understanding. Assessment Innovation – Student performance was evaluated through regular assignments. Digital Innovation – Digital presentations supported effective and engaging classroom instruction.

Dr. HARVENDRA KUMAR PATEL
Designation	Professor
Qualification	Ph.D
Area of Interest	CSE
Nature of Association	Artificial Intelligence
Date of Joining	04-06-2022
Innovation	Pedagogical Innovation – Designed real-world problem statements related to data structures, encouraging students to analyze and solve practical computing problems. Assessment Innovation – Students were assessed in groups based on their teamwork and effectiveness in presenting case study solutions. Digital Innovation – Online environments were utilized for coding, testing, and debugging solutions to real-world problems.

Dr. MOHD WAZIH AHMAD
Designation	Professor
Qualification	Ph.D
Area of Interest	CSE
Nature of Association	Artificial Intelligence, Machine Learning IOT
Date of Joining	29-08-2022
Innovation	Pedagogical Innovation – Industry-oriented case studies were discussed in subjects like Software Engineering to connect theory with practice. Assessment Innovation – Participation-based assessment was conducted during case discussions. Digital Innovation- Online discussion platforms were used to continue case study discussions beyond class hours.

Faculty Profile Tables

Dr. NAZIA TABASSUM
Designation	Associate Professor
Qualification	Ph.D
Area of Interest	Quantum Computing / IoT Security
Nature of Association	Regular
Date of Joining	30-01-2021
Innovation	Pedagogical Innovation – Teams are formed, problems are given to the students, and they receive guidance during group discussions and presentations Assessment Innovation- Participation and contribution of each student were assessed during discussions and presentations. Digital Innovation – Digital templates and formats were provided to standardize problem analysis and solution documentation.

Mr. MOHD SHAHNAWAZ
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Artificial Intelligence/ Cybersecurity/ Data Analytics
Nature of Association	Regular
Date of Joining	01-02-2024
Innovation	1.Pedagogical Innovation – Activities like case studies on DBMS were conducted in class. 2. Assessment Innovation – Group-wise assessment was conducted where students were evaluated on teamwork, participation, and presentation of case study solutions. 3. Digital Innovation – Digital case study materials like real-world datasets were shared.

Mr. ABHISHEK KUMAR
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Cybersecurity / Cloud Computing
Nature of Association	Regular
Date of Joining	23-06-2022
Innovation	1.Pedagogical Innovation – Interactive methods, including group discussions, were implemented to strengthen understanding. 2. Assessment Innovation – Student performance was evaluated through regular assignments. 3. Digital Innovation – Digital presentations supported effective and engaging classroom instruction.

Faculty Profile Tables

Mr. ARPIT
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Predictive Analytics / Data Science
Nature of Association	Regular
Date of Joining	23-08-2024
Innovation	Pedagogical Innovation – Created application-oriented problem statements to connect data structure concepts with real computing challenges. Assessment Innovation – Evaluation emphasized collaborative effort and presentation effectiveness of solutions. Digital Innovation – Online development platforms were leveraged for implementing and validating solutions.

Mr. AZHAR AHMED
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Artificial Intelligence, Machine Learning
Nature of Association	Regular
Date of Joining	02-11-2020
Innovation	Pedagogical Innovation – Teams are formed, problems are given to the students, and they receive guidance during group discussions and presentations. Assessment Innovation – Individual team leader presented the solution and peer teams gave feedback. Digital Innovation – Some teams presented through PPTs.

Dr. BALAK RAM
Designation	Assistant Professor
Qualification	PhD
Area of Interest	IoT / Smart City / Data Analytics
Nature of Association	Regular
Date of Joining	20-01-2020
Innovation	Pedagogical Innovation – Lecture videos and reading materials were shared in advance, and classroom time was used for discussions. Assessment Innovation – Frequent quizzes, assignments were conducted to assess their performance. Digital Innovation –Utilizes multimedia tools to enhance the learning experience and provide engaging digital content through i.e. You Tube Video

Faculty Profile Tables

Mr. CHAND BABU
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Data Analytics
Nature of Association	Regular
Date of Joining	05-08-2023
Innovation	Pedagogical Innovation – Real-world industry case studies were incorporated into Software Engineering to strengthen practical understanding. Assessment Innovation – Learners were evaluated based on their involvement and contributions during discussions Digital Innovation –Digital discussion platforms supported continued interaction beyond classroom hours.

Mr. SANJAY KUMAR
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Cybersecurity / Cloud Computing
Nature of Association	Regular
Date of Joining	01-02-2022
Innovation	Pedagogical Innovation – Student-centric methods such as, group discussions used to enhance understanding. Assessment Innovation – Assignments were given to evaluate student performance Digital Innovation – PPTs are used to make teaching–learning interactive, engaging, and effective.

Ms. ROOPALI GOEL
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Cybersecurity / Cloud Computing
Nature of Association	Regular
Date of Joining	01-08-2022
Innovation	Pedagogical Innovation – Gave real-world problem statements related to cloud computing and encouraged students to analyze and give feasible solutions for the problems. Assessment Innovation – Step-wise assessment evaluated problem understanding, approach, implementation, and optimization separately. Digital Innovation –Online resources and digital materials like youtube video links were provided to support analysis of cloud-based problems.

Faculty Details Table

Ms. SARANYA RAJ
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Artificial Intelligence / Predictive Analytics
Nature of Association	Regular
Date of Joining	07-08-2024
Innovation	Pedagogical Innovation – Used problem-based learning strategies for assessing students Assessment Innovation – Peer assessment was incorporated, allowing students to review and provide feedback on other groups’ case study analyses. Digital Innovation – Digital case study materials like PDFs, videos were shared

Dr. SUNIL KHULLAR
Designation	Professor
Qualification	PhD
Area of Interest	Data Analytics
Nature of Association	Regular
Date of Joining	28-07-2025
Innovation	Pedagogical Innovation- Group-based learning was adopted where teams worked on given problems with continuous mentoring during discussions and presentations. Assessment Innovation- Students were assessed based on their engagement and input throughout group activities and presentations. Digital Innovation- Digital formats were used to maintain uniformity in analyzing problems and recording solutions

Dr. K.P SINGH
Designation	Associate Professor
Qualification	PhD
Area of Interest	Artificial Intelligence / Cybersecurity
Nature of Association	Regular
Date of Joining	21/08/25
Innovation	Pedagogical Innovation – Problem-based team activities were conducted with guided discussions and presentation support. Assessment Innovation – Assessment emphasized active participation and meaningful contribution in group discussions and presentations. Digital Innovation – Uniform digital tools and templates were introduced to streamline problem analysis and solution recording.

Faculty Information Tables

Dr. K.P SINGH
Designation	Associate Professor
Qualification	PhD
Area of Interest	Artificial Intelligence / Cybersecurity
Nature of Association	Regular
Date of Joining	21/08/25
Innovation	Pedagogical Innovation – Problem-based team activities were conducted with guided discussions and presentation support. Assessment Innovation – Assessment emphasized active participation and meaningful contribution in group discussions and presentations. Digital Innovation – Uniform digital tools and templates were introduced to streamline problem analysis and solution recording.

Dr. VIBHA SINHA
Designation	Associate Professor
Qualification	PhD
Area of Interest	Natural Language Processing
Nature of Association	Regular
Date of Joining	1-08-2025
Innovation	Pedagogical Innovation – Developed practical, real-life problem scenarios in data structures to promote analytical and problem-solving skills. Assessment Innovation – Group performance was evaluated based on collaboration and clarity in presenting solutions. Digital Innovation – Online platforms were used for coding, testing, and debugging real-world problem solutions.

Mr. AMIT GARG
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Predictive Analytics / Data Science, Data Analytics / Retail Forecasting
Nature of Association	Regular
Date of Joining	04/08/2025
Innovation	Pedagogical Innovation – Developed practical, real-life problem scenarios in data structures to promote analytical and problem-solving skills. Assessment Innovation – Group performance was evaluated based on collaboration and clarity in presenting solutions. Digital Innovation – Online platforms were used for coding, testing, and debugging real-world problem solutions.

Dr. RAKESH KUMAR SINGH
Designation	Associate Professor
Qualification	PhD
Area of Interest	Predictive Analytics / Data Science
Nature of Association	Regular
Date of Joining	22/08/2025
Innovation	Pedagogical Innovation – Focused on experiential learning by engaging learners in problem-solving activities. Assessment Innovation – Implemented mutual assessment practices where groups reviewed each other’s work. Digital Innovation – Used technology-enabled resources like digital documents and instructional videos.

Dr. MOHAMMAD HARIS
Designation	Assistant Professor
Qualification	PhD
Area of Interest	Artificial Intelligence / Cybersecurity, Cybersecurity / Cloud Computing
Nature of Association	Regular
Date of Joining	11-08-2025
Innovation	Pedagogical Innovation- Learner-focused approaches like group discussions were adopted to improve conceptual clarity. Assessment Innovation – Assignments were used as a tool to assess student learning and performance. Digital Innovation- Presentations were incorporated to make the teaching–learning process more interactive and engaging.

Mr. AZHAR AHMAD Khan
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Artificial Intelligence / Cybersecurity
Nature of Association	Regular
Date of Joining	28-08-2025
Innovation	Pedagogical Innovation – Collaborative teams were formed and provided with problem scenarios, along with facilitation during discussions and presentations. Assessment Innovation – Individual contributions were monitored and assessed during interactive sessions and presentations. Digital Innovation – Structured digital templates supported consistent documentation of problem solving processes.

Mr. UMASHAKER SHARMA
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Data Analytics / Retail Forecasting
Nature of Association	Regular
Date of Joining	21-07-2025
Innovation	Pedagogical Innovation – Adopted problem-based learning approaches to evaluate understanding through real-world problem solving. Assessment Innovation- Introduced peer assessment, enabling learners to review case studies of other groups and give constructive feedback. Digital Innovation – Utilized digital case study resources such as PDFs and videos to support learning.

Faculty Information Tables

Dr HARE RAM
Designation	Associate Professor
Qualification	PhD
Area of Interest	Artificial Intelligence / IOT
Nature of Association	Regular
Date of Joining	03/08/2025
Innovation	Pedagogical Innovation – Learner-focused approaches like group discussions were adopted to improve conceptual clarity. Assessment Innovation– Assignments were used as a tool to assess student learning and performance. Digital Innovation – Presentations were incorporated to make the teaching–learning process more interactive and engaging.

Dr MONU SINGH
Designation	Associate Professor
Qualification	PhD
Area of Interest	Artificial Intelligence / Cybersecurity
Nature of Association	Regular
Date of Joining	13/01/2020
Innovation	Pedagogical Innovation – Personalized learning was supported through one-to-one oral interactions with each learner. Assessment Innovation – Conceptual understanding of theory was evaluated using oral examinations. Digital Innovation – Digital reference resources were shared to help prepare and revise concepts.

Dr ANSHU SINGLA
Designation	Assistant Professor
Qualification	PhD
Area of Interest	Artificial Intelligence
Nature of Association	Regular
Date of Joining	20/08/2024
Innovation	Pedagogical Innovation – Implemented activity-based learning methods focused on solving practical problems. Assessment Innovation – Encouraged peer evaluation where groups assessed each other’s case study Work. Digital Innovation – Shared learning resources in digital formats including videos and PDF documents.

Faculty Profiles Table

Mr. AKSHAY KUMAR
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Artificial Intelligence / HR Analytics
Nature of Association	Regular
Date of Joining	07/10/2024
Innovation	Pedagogical Innovation – Practical, industry-relevant case studies were integrated with theoretical teaching in Software Engineering. Assessment Innovation – Ongoing assessment was carried out through participation in case-based discussions. Digital Innovation – Case study conversations were continued using online collaborative tools.

Ms. MANISHA VERMA
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Artificial Intelligence / Predictive Analytics
Nature of Association	Regular
Date of Joining	21/09/2024
Innovation	Pedagogical Innovation – Implemented activity-based learning methods focused on solving practical problems. Assessment Innovation – Encouraged peer evaluation where groups assessed each other’s case study work. Digital Innovation – Shared learning resources in digital formats including videos and PDF documents.

Ms. SARITA SINGH
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Cybersecurity / Cloud Computing
Nature of Association	Regular
Date of Joining	18/10/2024
Innovation	Pedagogical Innovation – One-to-one interaction was used as a teaching strategy to address individual learning needs. Assessment Innovation – Oral assessments were conducted to evaluate understanding of theoretical concepts. Digital Innovation – Digital learning resources were provided to support concept comprehension and preparation.

Faculty Information Table

Dr VEJANTI MALA
Designation	Associate Professor
Qualification	PhD
Area of Interest	Cybersecurity / Cloud Computing
Nature of Association	Regular
Date of Joining	26/08/2025
Innovation	Pedagogical Innovation – Real-world industry case studies were incorporated into Software Engineering to strengthen practical understanding. Assessment Innovation – Learners were evaluated based on their involvement and contributions during discussions. Digital Innovation – Digital discussion platforms supported continued interaction beyond classroom hours.

Ms. PRAGATI UPADHYAY
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Artificial Intelligence / Cybersecurity
Nature of Association	Regular
Date of Joining	18/10/2024
Innovation	Pedagogical Innovation – Group-based learning was adopted where teams worked on given problems with continuous mentoring during discussions and presentations. Assessment Innovation – Students were assessed based on their engagement and input throughout group activities and presentations. Digital Innovation – Digital formats were used to maintain uniformity in analyzing problems and recording solutions.

Mr. UTKRISHT MITTAL
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Data Analytics
Nature of Association	Regular
Date of Joining	01-10-2016
Innovation	Pedagogical Innovation – Individual attention was ensured by assessing students through one-to-one oral interaction. Assessment Innovation – Theoretical concepts was assessed through oral examinations Digital Innovation – Digital reference materials were provided to students for concept preparation

Faculty Details Table

Mr NAUSHAD AHMAD
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Cloud Computing
Nature of Association	Regular
Date of Joining	25/08/2025
Innovation	Pedagogical Innovation – Focused on experiential learning by engaging learners in problem-solving activities. Assessment Innovation – Implemented mutual assessment practices where groups reviewed each’s work. Digital Innovation – Used technology-enabled resources like digital documents and instructional videos.

Mr ADARSH KUMAR
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Artificial Intelligence / Predictive Analytics
Nature of Association	Regular
Date of Joining	29/07/2024
Innovation	Pedagogical Innovation – Problem-based team activities were conducted with guided discussions and Presentation support. Assessment Innovation – Assessment emphasized active participation and meaningful contribution in group discussions and presentations. Digital Innovation – Uniform digital tools and templates were introduced to streamline problem analysis and solution recording.

Ms. SAPNA
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Agricultural Technology / Computer Vision
Nature of Association	Regular
Date of Joining	21/10/2024
Innovation	Pedagogical Innovation – Applied concept-based learning through real-world problems in data structures to strengthen practical understanding. Assessment Innovation – Groups were assessed on teamwork and quality of case study solution delivery. Digital Innovation – Web-based environments enabled coding practice along with testing and debugging activities.

Faculty Details

Mr. BALA
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	CSE
Nature of Association	Regular
Date of Joining	18/08/2025
Innovation	Pedagogical Innovation Collaborative learning was promoted by forming teams and assigning real-time problems with guided interaction. Assessment Innovation – Student performance was measured through participation and contribution in discussions and presentations. Digital Innovation – Standard digital tools were used for organized problem-solving and solution documentation.

Mr. PRADEEP
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Artificial Intelligence, Cloud Computing
Nature of Association	Regular
Date of Joining	17/08/2025
Innovation	Pedagogical Innovation – Practical cloud-based problem statements were used to help learners analyze challenges and propose workable solutions. Assessment Innovation – A structured, step-by-step assessment approach measured comprehension, strategy, execution, and improvement. Digital Innovation – Online content and multimedia resources were provided to aid understanding of cloud computing concepts.

Ms. NIMISHA PANDEY
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Artificial Intelligence
Nature of Association	Regular
Date of Joining	12/09/2024
Innovation	Pedagogical Innovation – Industry-focused case studies were used in subjects such as Software Engineering to bridge the gap between concepts and real-world applications. Assessment Innovation – Assessment was based on active participation during case study discussions. Digital Innovation – Online forums were utilized to extend case study discussions outside regular class time.

Faculty Innovation Profiles

Mr YAKUB ALAM
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Web Development
Nature of Association	Regular
Date of Joining	29/07/2024
Innovation	Pedagogical Innovation – Student-centered instructional strategies were used to promote active participation and better comprehension. Assessment Innovation – Learning outcomes were measured using assignment-based evaluation. Digital Innovation PPT-based teaching aids were utilized to enhance engagement and learning effectiveness.

Mr NAKUL
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Artificial Intelligence
Nature of Association	Regular
Date of Joining	26/08/2024
Innovation	Pedagogical Innovation – Introduced real-life cloud computing problem scenarios to develop analytical thinking and practical solution design. Assessment Innovation – Evaluation was carried out in stages, assessing understanding, methodology, implementation, and optimization. Digital Innovation Digital learning resources, including YouTube videos and online materials, were shared to support problem analysis.

Ms. POONAM KHADKA
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Natural Language Processing
Nature of Association	Regular
Date of Joining	27/05/2024
Innovation	Pedagogical Innovation – Practical, industry-relevant case studies were integrated with theoretical teaching in Software Engineering. Assessment Innovation Ongoing assessment was carried out through participation in case-based discussions. Digital Innovation Case study conversations were continued using online collaborative tools.

Faculty Information Table

Ms ADITI CHAUDHARY
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Natural Language Processing
Nature of Association	Regular
Date of Joining	28/03/2024
Innovation	Pedagogical Innovation – Implemented concept-based learning using real-world data structure problems to enhance practical understanding. Assessment Innovation – Evaluated groups based on their collaboration skills and effectiveness in delivering case study solutions. Digital Innovation – Utilized web-based platforms to support coding practice, testing, and debugging activities.

MS ROOPCEE WALIA
Designation	Assistant Professor
Qualification	M.Tech
Area of Interest	Artificial Intelligence
Nature of Association	Regular
Date of Joining	12/06/2025
Innovation	Pedagogical Innovation – Integrated real-world cloud computing scenarios to enhance analytical thinking and practical solution development. Assessment Innovation – Conducted multi-stage evaluation focusing on conceptual understanding, approach, implementation, and optimization. Digital Innovation – Leveraged digital learning resources such as YouTube videos and online materials to support problem analysis and learning.