Mathematics & Scientific Computing


The Department of Mathematics & Scientific Computing was established as an independent entity in August 2009.Prior to that, it was an integral part of the erstwhile Department of Applied Sciences & Humanities, which was founded in 1986.Currently, the department comprises 12 dedicated and highly qualified faculty members with diverse specializations spanning: Fluid Mechanics, Solid Mechanics, Functional Analysis, Harmonic Analysis, Cryptography, Network Security, Image Processing, Operations Research, and Statistics. The department has consistently strived to provide high-quality education and research, underpinned by robust infrastructure and state-of-the-art facilities.We are proud to host a well-equipped Computational Laboratory, featuring advanced computing systems and a range of mathematical software such as MATLAB, Mathematica, MathCad, and SYSTAT, to support academic and research activities.The department currently offers the following academic programmes:

  • B.Tech. in Mathematics and Computing – a four-year undergraduate programme launched in July 2020, designed to integrate mathematical rigor with computational skills to meet the growing demands of industry and academia.
  • M.Sc. in Mathematics & Computing – a postgraduate programme aimed at equipping students with a strong foundation in advanced mathematics and its computational applications.
  • Ph.D. Programmes – research opportunities in various specializations of Mathematics and Statistics, encouraging innovation and scholarly contribution to the field.
These programmes are thoughtfully designed to prepare students for careers in research, teaching, industry, and technology, while fostering interdisciplinary collaboration and critical problem-solving skills.In addition, the department offers a range of open elective courses tailored for undergraduate and postgraduate students across engineering disciplines.With a vibrant research culture and a strong focus on innovation, the department has made significant contributions to the institute's growth, particularly in the domain of Research and Development (R&D).Since its inception, the department has played a pivotal role in promoting academic excellence and interdisciplinary collaboration.We remain committed to advancing knowledge, fostering innovation, and nurturing future leaders in mathematical sciences and computing.

Career Prospects and Industry Relevance

In the current economic landscape, career opportunities for graduates, postgraduates, and Ph.D. holders in Mathematics and Scientific Computing are exceptionally promising—both in academia and across a wide range of industries. This is a transformative era for individuals with strong mathematical and computational foundations. Degree holders in this domain are increasingly sought after in sectors such as banking, insurance, information technology, data analytics, and research & development, in addition to the ever-reliable domain of academia.Those inclined toward a research-oriented career will find ample opportunities in premier research institutions, universities, and think tanks, while those passionate about teachingcan pursue well-compensated academic positions in leading public and private institutions. Moreover, there has been a significant surge in demand for professionals who can apply mathematical modeling, analytics, and scientific computing to solve real-world problems. Financial services firms, R&D wings of multinational corporations, government agencies, and emerging tech start-ups are actively recruiting individuals with expertise in Mathematics and Computing. Backed by the department’s strong focus on both pure and applied mathematics as well as scientific computing, our students receive rigorous and balanced training that equips them with the analytical, theoretical, and computational skills necessary to excel in diverse professional arenas.

📄 Placement Highlights 2023–24 📄 Placement Highlights 2024–25

Vision


To generate skilled manpower equipped with human values and also counteract the Mathematical and Scientific Computational challenges arising in Science and Technology for the welfare of mankind and development of the Nation.


Mission


M1: To empower students with knowledge of mathematics and scientific computing through state-of-art infrastructure and curriculum.
M2: To prepare students for competent professionals in emerging technologies with industry along with specific programs.
M3: To impart ethical values, leadership and managerial skills in the students
M4: Follow the NEP 2020 interdisciplinary approach towards teaching learning process and research
Professor
Sl.NoNameArea(s) of InterestsEmailProfile
1Prof. Y.D SharmaApplied Mathematics, Mechanics (Fluid & Solid), Thermal, Bio, Nano Convection, Wave Propagationyds@nith.ac.inView
2Prof. SunilMagnetohydrodynamics, Ferrohydrodynamics, Plasma and Fluid Instabilities, Plasma Dynamics, Astrophysics, Geophysics and Flow through Porous Media, Non-linear stability of fluids.sunil@nith.ac.inView
Associate Professor
Sl.NoNameArea(s) of InterestsEmailProfile
1Dr. R.K. VatsFixed Point Theory (Functional Analysis), Fractional Calculusrkvats@nith.ac.inView
2Dr. Pawan Kr. SharmaElasticity, Thermoelasticity( free and forces vibration Numerical MethodsanalysisSara712005@gmail.comView
Assistant Professor Grade-I
Sl.NoNameArea(s) of InterestsEmailProfile
1Dr. Suket KumarFunctional Analysissuket@nith.ac.inView
2Dr. Subit Kumar JainMathematical Image Processing, Numerics of PDEjain.subit@nith.ac.inView
3Dr Om Prakash YadavNumerical Methods for Partial Differential Equationsopyadav@nith.ac.inView
4Dr. Rifaqat AliCryptography, Information Security, and Blockchain Technologyrifaqatali@nith.ac.inView
5 Dr. Talari GaneshStatistics and Operations Researchdrganesh@nith.ac.inView
Assistant Professor Grade-II
Sl.NoNameArea(s) of InterestsEmailProfile
1Dr. Soniya ChaudharyElastodynamics, elasticity, wave propagation, scattering problems, Integral equation method (BEM) Mathematical/Numerical modeling of piezo/non-piezoelectric materials in composite structuressoniya@nith.ac.inView
2Dr. Jeetendrasingh MaanIntegral Transforms, Harmonic Analysis, Pseudo-Differential Operators, Wavelet Transformsjeetendra@nith.ac.inView
3Dr. Pankaj Kumar Optimization Methods in Finance, Interval Optimization, Machine Learning, Operations Research, Crops Planningpankajkumar@nith.ac.inView
Office Staff
Sl. No.NameDesignationPhone No.Email
1Sh. Om ParkashOffice Attendant SG-II254101opnith@nith.ac.in
Technical Staff
Sl. No.NameDesignationPhone No.Email
1Ms. SmritiSenior Technician254101smritik@nith.ac.in
2Mr. Hem Raj Technician254101hem@nith.ac.in

Labs

Undergraduate, Post graduate and Research Laboratories

The Department of Mathematics and Scientific Computing boasts state-of-the-art Undergraduate, Postgraduate, and Research Laboratories that provide hands-on experience with cutting-edge tools and technologies. For B.Tech. students in Mathematics & Computing, specialized labs like Data Structures, MATLAB, Statistical Methods, and Machine Learning foster deep computational and analytical skills. M.Sc. students benefit from advanced labs in SPSS, R, Python, Operations Research, and Database Systems, ensuring a strong foundation in applied and theoretical computing. Each lab is equipped with modern infrastructure, offering real-time problem-solving environments that bridge theory and practice. Our research laboratories further support innovative exploration in emerging areas, cultivating a strong research culture among scholars. Together, these labs play a pivotal role in shaping skilled professionals and future researchers.

Programme: B.Tech. in Mathematics & Computing
Sr. No. Name of Laboratory
1 Data Structures Lab
2 Numerical Computations with MATLAB Lab
3 Applied Statistical Methods Lab
4 Object Oriented Programming Lab
5 Database Management Systems Lab
6 Machine Learning Lab
7 Operating System Lab
Programme: M.Sc. in Mathematics & Computing
8 Computer Programming Lab
9 SPSS Software Lab
10 Operations Research Lab
11 Data Structure and Algorithms Lab
12 Database Management Systems Lab
13 R and Python Lab
14 Numerical Methods Lab

Major Facilities in Research & Development Labs

The Department of Mathematics and Scientific Computing provides state-of-the-art Research and Development Laboratories to enhance both learning and innovation. These labs are equipped with the following major facilities:

➤ Modern Digital Infrastructure
  • Smart Interactive Panels for engaging and dynamic teaching and presentations.
  • High-quality Projectors that support visual and multimedia-based instruction.
  • Fully air-conditioned (AC) labs ensuring a comfortable learning and research environment.
  • Ergonomically designed seating arrangements to support long hours of focused work and discussions.
➤ Advanced Computing Resources
  • High-performance computing systems and software platforms like MATLAB, Python, R, and SPSS.
  • Real-time environments for Data Structures, Object-Oriented Programming, Machine Learning, Statistical Methods, and more.
  • Database systems labs to train students in modern data handling and query systems.
➤ Research-Oriented Design
  • Labs are designed to support both teaching and applied research in computing and mathematical sciences.
  • Provide an environment conducive to problem-solving, experimentation, and innovation.
➤ Support for Emerging Technologies
  • Specialized labs focus on Artificial Intelligence, Statistical Analysis, Numerical Computations, and Operations Research.
  • Encourage project-based and interdisciplinary research activities.
➤ Conducive Learning Atmosphere
  • All labs foster a student-friendly, collaborative, and professional atmosphere.
  • Facilities are aligned to nurture analytical thinking, research skills, and academic excellence.
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Dr. Sunil

Head of Department
Mathematics & Scientific Computing
National Institute of Technology Hamirpur
Himachal Pradesh, Pin No. 177005, India.
Phone No. : 01972- 254134
HoD Email : head.msc@nith.ac.in
Office Email : office.msc@nith.ac.in