Open to Research Collaborations
Saransh

Ph.D. Scholar · Cybersecurity & UAV Forensics

Building intelligent forensic frameworks for drone evidence recovery using machine learning. Educator, Researcher, CTF architect — Pune, India.

Let's Connect ↗ Explore Work
2+
Years Exp
30+
Students
20+
Lab Modules
4
Roles
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I'm a Ph.D. Scholar and Assistant Professor at Nutan Maharashtra Institute of Engineering and Technology, Pune, with a deep focus on cybersecurity education and digital forensics research.

My work spans embedded systems, UAV forensics, and machine learning — building intelligent frameworks to recover and analyze evidence from drone platforms with proprietary, encrypted data.

Beyond research, I'm passionate about CTF-based pedagogy and outcome-based education, designing experiential learning environments bridging theory and real-world practice.

Doctoral Research
"Enhancement of UAV Drone Forensics: A Novel Approach for Robust Evidence Recovery with Multi-Modal Embedded Systems Using Machine Learning Techniques"
InstitutionD.Y. Patil International University, Pune
SupervisorProf. (Dr.) Rahul Sharma
Reg. No.20241001015
StatusOngoing · Research Phase · Est. 2027
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Jul 2025 — Present
Assistant Professor [ view resume ]
Nutan Maharashtra Inst. of Engg. & Technology
  • Curriculum revision for MCA, BCA, MBA — UGC & NEP 2020.
  • 20+ hands-on lab modules with CO–PO mapping.
  • Mentored 30+ students; ERP, IQAC, R&D Coordinator.
Aug 2024 — Jul 2025
Teaching Assistant (PhD) [ view resume ]
D.Y. Patil International University
  • Cybersecurity instruction for MCA and B.Tech.
  • 20+ CTF-based exercises with real-world scenarios.
Jan 2024 — Jul 2024
Teaching Associate [ view resume ]
D.Y. Patil International University
  • Postgrad Cybersecurity & Computer Applications.
  • Served as Academic In-Charge.
Nov 2022 — Jun 2023
Teaching Assistant (Part-Time) [ view resume ]
D.Y. Patil International University
  • Java programming labs for BCA students.
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// research_objectives.txt active
01
Unified Forensic Framework for Multi-UAV Evidence Acquisition
To design a unified forensic framework capable of acquiring and analyzing data from multiple UAV models and data formats — addressing proprietary storage, encrypted telemetry, and heterogeneous embedded systems.
02
Machine Learning Workflows for Anomaly Detection & Event Reconstruction
To develop and integrate machine learning–based workflows for anomaly detection, event reconstruction, and behavioral analysis of UAV sensor, telemetry, firmware, and multimedia artifacts.
03
Identification & Mitigation of Anti-Forensic Techniques
To identify and mitigate anti-forensic techniques such as data wiping, encryption, and device tampering — ensuring forensic soundness and legal admissibility of UAV-derived digital evidence.
04
Accuracy, Efficiency & Forensic Soundness Enhancement
To enhance the accuracy, efficiency, and forensic soundness of UAV evidence recovery and analysis — validated through forensic metrics, accuracy benchmarks, and scenario-based testing against real-world UAV investigation cases.
UAV & Drone Forensics
Evidence acquisition from embedded UAV platforms with proprietary and encrypted data sources.
ML for Forensic Analysis
Supervised & unsupervised learning for anomaly detection and event reconstruction.
01001000 10110 11010101 00101 00110010 11001 10011101 01110 11100010 10001
Digital Forensics
Incident response, anti-forensic mitigation, and forensically sound evidence recovery.
$ ./capture_flag.sh FLAG{uav_f0r3ns1cs!} ✓ Solved! Time: 04:23 Score: +500 pts
CTF-Based Pedagogy
Designing capture-the-flag competitions as hands-on cybersecurity learning environments.
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Teaching & Research
Course Design OBE Principles Student Mentoring Assessment Design CTF Design Syllabus Revision
Cybersecurity
Digital Forensics Incident Response Network Security Threat Analysis UAV Forensics Anti-Forensics
Tools & Platforms
Linux Wireshark Nmap VirtualBox TryHackMe Cyber Ranges
Programming
Python Java Bash Scripting
Quality & Admin
NAAC Documentation IQAC Academic Audits ERP Coordination

Competency Radar

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2024 – 2027 (Expected)
Ph.D. Computer Science
Cybersecurity · UAV Forensics · ML
D.Y. Patil International University, Pune
● Pursuing
2021 – 2023
MCA — Cybersecurity
Master of Computer Applications
D.Y. Patil International University, Pune
2018 – 2021
BCA — Information Technology
Bachelor of Computer Applications
Institute of Management Studies, Noida
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01 / DFIR · Python · PyQt6
CyberCrew v2.0
Offline desktop DFIR application with PyQt6 GUI wrapping 26 forensic tools — featuring evidence chain-of-custody, SHA-256 hashing, and automated reporting for digital forensics and incident response.
GitHub ↗
02 / TypeScript · Research Mgmt
Research Group Allocation Tracker
TypeScript-based research group management system for allocating students and tracking research activities across faculty and student groups.
GitHub ↗
03 / JavaScript · EdTech
Faculty Attendance Marking App
JavaScript application designed for faculty members to efficiently mark and manage student attendance records — streamlining academic administration workflows.
GitHub ↗
04 / Academic Systems · Supervision
DYPIU-IPO Internship & Elective Portal
Supervised development of an integrated platform for internship and elective management at DYPIU — streamlining student placement, elective selection, and administrative oversight.
05 / NLP · Computer Vision · Mentorship
OCR-Based Certificate Verification System
Guided development of an OCR-based certificate authentication system using NLP and image processing — achieving high accuracy in automated credential verification for academic institutions.
06 / Cryptography · Student Project
ModCrypt — Custom Encryption Algorithm
Mentored students in designing a novel symmetric encryption algorithm — covering mathematical foundation, Python implementation, and comprehensive cryptanalytic security evaluation.
07 / Automation · Collaboration
Examination Result Processing Automation
Collaborated with the Examination Department to automate semester result processing pipelines — significantly reducing manual effort, turnaround time, and transcription errors.

Let's Connect

Open to research collaborations, academic partnerships, and cybersecurity discussions. Pune, India.

✉kumarsaransh.10@gmail.com ☎+91-88264 77046 inLinkedIn ⌥GitHub ◉Portfolio
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